Added support for bigint attributes [skip ci]

.dockerignore

@@ -0,0 +1,8 @@
+/.git/
+/dist/
+/results/
+/tmp_check/
+/sql/vector--?.?.?.sql
+regression.*
+*.o
+*.so

.github/workflows/build.yml

@@ -8,31 +8,29 @@ jobs:
       fail-fast: false
       matrix:
         include:
-          - postgres: 20
-            os: ubuntu-26.04
-          - postgres: 19
-            os: ubuntu-26.04
-          - postgres: 18
-            os: ubuntu-26.04-arm
           - postgres: 17
-            os: ubuntu-24.04
+            os: ubuntu-22.04
           - postgres: 16
-            os: ubuntu-24.04-arm
+            os: ubuntu-22.04
           - postgres: 15
             os: ubuntu-22.04
           - postgres: 14
-            os: ubuntu-22.04-arm
-          - postgres: 13
             os: ubuntu-22.04
+          - postgres: 13
+            os: ubuntu-20.04
+          - postgres: 12
+            os: ubuntu-20.04
+          - postgres: 11
+            os: ubuntu-20.04
     steps:
-      - uses: actions/checkout@v7
+      - uses: actions/checkout@v4
       - uses: ankane/setup-postgres@v1
         with:
           postgres-version: ${{ matrix.postgres }}
           dev-files: true
       - run: make
         env:
-          PG_CFLAGS: -DUSE_ASSERT_CHECKING -Wall -Wextra -Werror -Wno-unused-parameter -Wno-sign-compare ${{ matrix.postgres >= 18 && '-Wno-missing-field-initializers' || '' }}
+          PG_CFLAGS: -Wall -Wextra -Werror -Wno-unused-parameter -Wno-sign-compare
       - run: |
           export PG_CONFIG=`which pg_config`
           sudo --preserve-env=PG_CONFIG make install
@@ -44,78 +42,51 @@ jobs:
           sudo apt-get install libipc-run-perl
       - run: make prove_installcheck
   mac:
-    runs-on: ${{ matrix.os }}
+    runs-on: macos-latest
     if: ${{ !startsWith(github.ref_name, 'windows') }}
-    strategy:
-      fail-fast: false
-      matrix:
-        include:
-          - postgres: 18
-            os: macos-26
-          - postgres: 14
-            os: macos-15-intel
     steps:
-      - uses: actions/checkout@v7
+      - uses: actions/checkout@v4
       - uses: ankane/setup-postgres@v1
         with:
-          postgres-version: ${{ matrix.postgres }}
+          postgres-version: 14
       - run: make
         env:
-          PG_CFLAGS: -DUSE_ASSERT_CHECKING -Wall -Wextra -Werror -Wno-unused-parameter -Wno-unknown-warning-option ${{ matrix.postgres >= 18 && '-Wno-missing-field-initializers' || '' }}
+          PG_CFLAGS: -Wall -Wextra -Werror -Wno-unused-parameter
       - run: make install
       - run: make installcheck
       - if: ${{ failure() }}
         run: cat regression.diffs
-      # Homebrew Postgres does not enable TAP tests, so need to download
       - run: |
           brew install cpanm
           cpanm --notest IPC::Run
-          wget -q https://github.com/postgres/postgres/archive/refs/tags/$TAG.tar.gz
+          wget -q https://github.com/postgres/postgres/archive/refs/tags/REL_14_5.tar.gz
-          tar xf $TAG.tar.gz
+          tar xf REL_14_5.tar.gz
-          mv postgres-$TAG postgres
+      - run: make prove_installcheck PROVE_FLAGS="-I ./postgres-REL_14_5/src/test/perl" PERL5LIB="/Users/runner/perl5/lib/perl5"
-        env:
+      - run: make clean && /usr/local/opt/llvm@15/bin/scan-build --status-bugs make
-          TAG: ${{ matrix.postgres == 18 && 'REL_18_2' || 'REL_14_21' }}
-      - run: make prove_installcheck PROVE_FLAGS="-I ./postgres/src/test/perl -I ./test/perl"
-        env:
-          PERL5LIB: /Users/runner/perl5/lib/perl5
-      - run: make clean && $(brew --prefix llvm@$LLVM_VERSION)/bin/scan-build --status-bugs make
-        env:
-          LLVM_VERSION: ${{ matrix.os == 'macos-26' && 20 || 18 }}
-          PG_CFLAGS: -DUSE_ASSERT_CHECKING
   windows:
-    runs-on: ${{ matrix.os }}
+    runs-on: windows-latest
     if: ${{ !startsWith(github.ref_name, 'mac') }}
-    strategy:
-      fail-fast: false
-      matrix:
-        include:
-          - postgres: 17
-            os: windows-2025
-          - postgres: 14
-            os: windows-2022
     steps:
-      - uses: actions/checkout@v7
+      - uses: actions/checkout@v4
       - uses: ankane/setup-postgres@v1
         with:
-          postgres-version: ${{ matrix.postgres }}
+          postgres-version: 14
       - run: |
-          call "C:\Program Files\Microsoft Visual Studio\${{ matrix.os == 'windows-2025' && 18 || 2022 }}\Enterprise\VC\Auxiliary\Build\vcvars64.bat" && ^
+          call "C:\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Auxiliary\Build\vcvars64.bat" && ^
           nmake /NOLOGO /F Makefile.win && ^
           nmake /NOLOGO /F Makefile.win install && ^
-          nmake /NOLOGO /F Makefile.win installcheck ${{ matrix.postgres != 17 && 'PG_REGRESS=$(PGROOT)\bin\pg_regress' || '' }} && ^
+          nmake /NOLOGO /F Makefile.win installcheck && ^
           nmake /NOLOGO /F Makefile.win clean && ^
           nmake /NOLOGO /F Makefile.win uninstall
         shell: cmd
-      - if: ${{ failure() }}
-        run: cat regression.diffs
   i386:
     if: ${{ !startsWith(github.ref_name, 'mac') && !startsWith(github.ref_name, 'windows') }}
     runs-on: ubuntu-latest
     container:
-      image: debian:12
+      image: debian:11
       options: --platform linux/386
     steps:
-      - run: apt-get update && apt-get install -y build-essential git libipc-run-perl postgresql-15 postgresql-server-dev-15 sudo
+      - run: apt-get update && apt-get install -y build-essential git libipc-run-perl postgresql-13 postgresql-server-dev-13 sudo
       - run: service postgresql start
       - run: |
           git clone https://github.com/${{ github.repository }}.git pgvector
@@ -128,18 +99,4 @@ jobs:
           sudo -u postgres make installcheck
           sudo -u postgres make prove_installcheck
         env:
-          PG_CFLAGS: -DUSE_ASSERT_CHECKING -Wall -Wextra -Werror -Wno-unused-parameter -Wno-sign-compare
+          PG_CFLAGS: -Wall -Wextra -Werror -Wno-unused-parameter -Wno-sign-compare
-      - if: ${{ failure() }}
-        run: cat pgvector/regression.diffs
-  valgrind:
-    if: ${{ !startsWith(github.ref_name, 'mac') && !startsWith(github.ref_name, 'windows') }}
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v7
-      - uses: ankane/setup-postgres-valgrind@v1
-        with:
-          postgres-version: 18
-          check-ub: yes
-      - run: make OPTFLAGS=""
-      - run: sudo --preserve-env=PG_CONFIG make install
-      - run: make installcheck

CHANGELOG.md

@@ -1,100 +1,6 @@
-## 0.8.5 (2026-07-08)
+## 0.6.0 (unreleased)
 
-- Reduced memory usage for small tables for IVFFlat index builds
+- Added support for inline filtering with HNSW
-
-## 0.8.4 (2026-06-30)
-
-- Fixed `hnsw graph not repaired` error with HNSW vacuuming
-- Fixed possible error with inserts during HNSW vacuuming
-- Fixed memory exceeding `maintenance_work_mem` with IVFFlat index builds
-
-## 0.8.3 (2026-06-17)
-
-- Fixed possible index corruption with HNSW vacuuming
-- Fixed performance regression with Hamming distance and Jaccard distance with Postgres 18
-
-## 0.8.2 (2026-02-25)
-
-- Fixed buffer overflow with parallel HNSW index build - [more info](https://github.com/pgvector/pgvector/issues/959)
-- Improved `install` target on Windows
-- Fixed `Index Searches` in `EXPLAIN` output for Postgres 18
-
-## 0.8.1 (2025-09-04)
-
-- Added support for Postgres 18 rc1
-- Improved performance of `binary_quantize` function
-
-## 0.8.0 (2024-10-30)
-
-- Added support for iterative index scans
-- Added casts for arrays to `sparsevec`
-- Improved cost estimation for better index selection when filtering
-- Improved performance of HNSW index scans
-- Improved performance of HNSW inserts and on-disk index builds
-- Dropped support for Postgres 12
-
-## 0.7.4 (2024-08-05)
-
-- Fixed locking for parallel HNSW index builds
-- Fixed compilation error with GCC 14 on i386 when SSE2 is not enabled
-
-## 0.7.3 (2024-07-22)
-
-- Fixed `failed to add index item` error with `sparsevec`
-- Fixed compilation error with FreeBSD ARM
-- Fixed compilation warning with MSVC and Postgres 16
-
-## 0.7.2 (2024-06-11)
-
-- Fixed initialization fork for indexes on unlogged tables
-
-## 0.7.1 (2024-06-03)
-
-- Improved performance of on-disk HNSW index builds
-- Fixed `undefined symbol` error with GCC 8
-- Fixed compilation error with universal binaries on Mac
-- Fixed compilation warning with Clang < 14
-
-## 0.7.0 (2024-04-29)
-
-- Added `halfvec` type
-- Added `sparsevec` type
-- Added support for indexing `bit` type
-- Added support for indexing L1 distance with HNSW
-- Added `binary_quantize` function
-- Added `hamming_distance` function
-- Added `jaccard_distance` function
-- Added `l2_normalize` function
-- Added `subvector` function
-- Added concatenate operator for vectors
-- Added CPU dispatching for distance functions on Linux x86-64
-- Updated comparison operators to support vectors with different dimensions
-
-## 0.6.2 (2024-03-18)
-
-- Reduced lock contention with parallel HNSW index builds
-
-## 0.6.1 (2024-03-04)
-
-- Fixed error with `ANALYZE` and vectors with different dimensions
-- Fixed segmentation fault with `shared_preload_libraries`
-- Fixed vector subtraction being marked as commutative
-
-## 0.6.0 (2024-01-29)
-
-If upgrading with Postgres 12 or Docker, see [these notes](https://github.com/pgvector/pgvector#060).
-
-- Added support for parallel index builds for HNSW
-- Added validation for GUC parameters
-- Changed storage for vector from `extended` to `external`
-- Improved performance of HNSW
-- Reduced memory usage for HNSW index builds
-- Reduced WAL generation for HNSW index builds
-- Fixed error with logical replication
-- Fixed `invalid memory alloc request size` error with HNSW index builds
-- Moved Docker image to `pgvector` org
-- Added Docker tags for each supported version of Postgres
-- Dropped support for Postgres 11
 
 ## 0.5.1 (2023-10-10)
 
@@ -142,7 +48,7 @@ If upgrading with Postgres 12 or Docker, see [these notes](https://github.com/pg
 
 ## 0.4.0 (2023-01-11)
 
-If upgrading with Postgres < 13, see [this note](https://github.com/pgvector/pgvector/blob/v0.4.0/README.md#040).
+If upgrading with Postgres < 13, see [this note](https://github.com/pgvector/pgvector#040).
 
 - Changed text representation for vector elements to match `real`
 - Changed storage for vector from `plain` to `extended`
@@ -159,7 +65,7 @@ If upgrading with Postgres < 13, see [this note](https://github.com/pgvector/pgv
 
 ## 0.3.1 (2022-11-02)
 
-If upgrading from 0.2.7 or 0.3.0, [recreate](https://github.com/pgvector/pgvector/blob/v0.3.1/README.md#031) all `ivfflat` indexes after upgrading to ensure all data is indexed.
+If upgrading from 0.2.7 or 0.3.0, [recreate](https://github.com/pgvector/pgvector#031) all `ivfflat` indexes after upgrading to ensure all data is indexed.
 
 - Fixed issue with inserts silently corrupting `ivfflat` indexes (introduced in 0.2.7)
 - Fixed segmentation fault with index creation when lists > 6500

Dockerfile

@@ -1,11 +1,8 @@
-# syntax=docker/dockerfile:1
+ARG PG_MAJOR=15
-
+FROM postgres:$PG_MAJOR
-ARG PG_MAJOR=17
-ARG DEBIAN_CODENAME=bookworm
-FROM postgres:$PG_MAJOR-$DEBIAN_CODENAME
 ARG PG_MAJOR
 
-ADD https://github.com/pgvector/pgvector.git#v0.8.5 /tmp/pgvector
+COPY . /tmp/pgvector
 
 RUN apt-get update && \
 		apt-mark hold locales && \

LICENSE

@@ -1,4 +1,4 @@
-Portions Copyright (c) 1996-2026, PostgreSQL Global Development Group
+Portions Copyright (c) 1996-2023, PostgreSQL Global Development Group
 
 Portions Copyright (c) 1994, The Regents of the University of California
 

META.json

@@ -2,17 +2,17 @@
 	"name": "vector",
 	"abstract": "Open-source vector similarity search for Postgres",
 	"description": "Supports L2 distance, inner product, and cosine distance",
-	"version": "0.8.5",
+	"version": "0.5.1",
 	"maintainer": [
 		"Andrew Kane <andrew@ankane.org>"
 	],
 	"license": {
-		"PostgreSQL": "https://www.postgresql.org/about/licence"
+		"PostgreSQL": "http://www.postgresql.org/about/licence"
 	},
 	"prereqs": {
 		"runtime": {
 			"requires": {
-				"PostgreSQL": "13.0.0"
+				"PostgreSQL": "11.0.0"
 			}
 		}
 	},
@@ -20,7 +20,7 @@
 		"vector": {
 			"file": "sql/vector.sql",
 			"docfile": "README.md",
-			"version": "0.8.5",
+			"version": "0.5.1",
 			"abstract": "Open-source vector similarity search for Postgres"
 		}
 	},
@@ -38,7 +38,7 @@
 	"generated_by": "Andrew Kane",
 	"meta-spec": {
 		"version": "1.0.0",
-		"url": "https://pgxn.org/meta/spec.txt"
+		"url": "http://pgxn.org/meta/spec.txt"
 	},
 	"tags": [
 		"vectors",

Makefile

@@ -1,20 +1,18 @@
 EXTENSION = vector
-EXTVERSION = 0.8.5
+EXTVERSION = 0.5.1
 
 MODULE_big = vector
-DATA = $(wildcard sql/*--*--*.sql)
+DATA = $(wildcard sql/*--*.sql)
-DATA_built = sql/$(EXTENSION)--$(EXTVERSION).sql
+OBJS = src/hnsw.o src/hnswbuild.o src/hnswinsert.o src/hnswscan.o src/hnswutils.o src/hnswvacuum.o src/ivfbuild.o src/ivfflat.o src/ivfinsert.o src/ivfkmeans.o src/ivfscan.o src/ivfutils.o src/ivfvacuum.o src/vector.o
-OBJS = src/bitutils.o src/bitvec.o src/halfutils.o src/halfvec.o src/hnsw.o src/hnswbuild.o src/hnswinsert.o src/hnswscan.o src/hnswutils.o src/hnswvacuum.o src/ivfbuild.o src/ivfflat.o src/ivfinsert.o src/ivfkmeans.o src/ivfscan.o src/ivfutils.o src/ivfvacuum.o src/sparsevec.o src/vector.o
+HEADERS = src/vector.h
-HEADERS = src/halfvec.h src/sparsevec.h src/vector.h
 
 TESTS = $(wildcard test/sql/*.sql)
 REGRESS = $(patsubst test/sql/%.sql,%,$(TESTS))
 REGRESS_OPTS = --inputdir=test --load-extension=$(EXTENSION)
 
-# To compile for portability, run: make OPTFLAGS=""
 OPTFLAGS = -march=native
 
-# Mac ARM doesn't always support -march=native
+# Mac ARM doesn't support -march=native
 ifeq ($(shell uname -s), Darwin)
 	ifeq ($(shell uname -p), arm)
 		# no difference with -march=armv8.5-a
@@ -27,11 +25,6 @@ ifneq ($(filter ppc64%, $(shell uname -m)), )
 	OPTFLAGS =
 endif
 
-# RISC-V64 doesn't support -march=native
-ifeq ($(shell uname -m), riscv64)
-	OPTFLAGS =
-endif
-
 # For auto-vectorization:
 # - GCC (needs -ftree-vectorize OR -O3) - https://gcc.gnu.org/projects/tree-ssa/vectorization.html
 # - Clang (could use pragma instead) - https://llvm.org/docs/Vectorizers.html
@@ -48,6 +41,8 @@ all: sql/$(EXTENSION)--$(EXTVERSION).sql
 sql/$(EXTENSION)--$(EXTVERSION).sql: sql/$(EXTENSION).sql
 	cp $< $@
 
+EXTRA_CLEAN = sql/$(EXTENSION)--$(EXTVERSION).sql
+
 PG_CONFIG ?= pg_config
 PGXS := $(shell $(PG_CONFIG) --pgxs)
 include $(PGXS)
@@ -57,7 +52,7 @@ ifeq ($(PROVE),)
 	PROVE = prove
 endif
 
-# for Postgres < 15
+# for Postgres 15
 PROVE_FLAGS += -I ./test/perl
 
 prove_installcheck:
@@ -70,20 +65,13 @@ dist:
 	mkdir -p dist
 	git archive --format zip --prefix=$(EXTENSION)-$(EXTVERSION)/ --output dist/$(EXTENSION)-$(EXTVERSION).zip master
 
-# for Docker
-PG_MAJOR ?= 17
-
 .PHONY: docker
 
 docker:
-	docker build --pull --no-cache --build-arg PG_MAJOR=$(PG_MAJOR) -t pgvector/pgvector:pg$(PG_MAJOR) -t pgvector/pgvector:$(EXTVERSION)-pg$(PG_MAJOR) .
+	docker build --pull --no-cache --platform linux/amd64 -t ankane/pgvector:latest .
 
 .PHONY: docker-release
 
 docker-release:
-	docker buildx build --push --pull --no-cache --platform linux/amd64,linux/arm64 --build-arg PG_MAJOR=$(PG_MAJOR) --build-arg DEBIAN_CODENAME=bookworm -t pgvector/pgvector:pg$(PG_MAJOR) -t pgvector/pgvector:pg$(PG_MAJOR)-bookworm -t pgvector/pgvector:$(EXTVERSION)-pg$(PG_MAJOR) -t pgvector/pgvector:$(EXTVERSION)-pg$(PG_MAJOR)-bookworm .
+	docker buildx build --push --pull --no-cache --platform linux/amd64,linux/arm64 -t ankane/pgvector:latest .
-
+	docker buildx build --push --platform linux/amd64,linux/arm64 -t ankane/pgvector:v$(EXTVERSION) .
-.PHONY: docker-release-trixie
-
-docker-release-trixie:
-	docker buildx build --push --pull --no-cache --platform linux/amd64,linux/arm64 --build-arg PG_MAJOR=$(PG_MAJOR) --build-arg DEBIAN_CODENAME=trixie -t pgvector/pgvector:pg$(PG_MAJOR)-trixie -t pgvector/pgvector:$(EXTVERSION)-pg$(PG_MAJOR)-trixie .

Makefile.win

@@ -1,11 +1,10 @@
 EXTENSION = vector
-EXTVERSION = 0.8.5
+EXTVERSION = 0.5.1
 
-DATA_built = sql\$(EXTENSION)--$(EXTVERSION).sql
+OBJS = src\hnsw.obj src\hnswbuild.obj src\hnswinsert.obj src\hnswscan.obj src\hnswutils.obj src\hnswvacuum.obj src\ivfbuild.obj src\ivfflat.obj src\ivfinsert.obj src\ivfkmeans.obj src\ivfscan.obj src\ivfutils.obj src\ivfvacuum.obj src\vector.obj
-OBJS = src\bitutils.obj src\bitvec.obj src\halfutils.obj src\halfvec.obj src\hnsw.obj src\hnswbuild.obj src\hnswinsert.obj src\hnswscan.obj src\hnswutils.obj src\hnswvacuum.obj src\ivfbuild.obj src\ivfflat.obj src\ivfinsert.obj src\ivfkmeans.obj src\ivfscan.obj src\ivfutils.obj src\ivfvacuum.obj src\sparsevec.obj src\vector.obj
+HEADERS = src\vector.h
-HEADERS = src\halfvec.h src\sparsevec.h src\vector.h
 
-REGRESS = bit btree cast copy halfvec hnsw_bit hnsw_halfvec hnsw_sparsevec hnsw_vector ivfflat_bit ivfflat_halfvec ivfflat_vector sparsevec vector_type
+REGRESS = btree cast copy functions input ivfflat_cosine ivfflat_ip ivfflat_l2 ivfflat_options ivfflat_unlogged
 REGRESS_OPTS = --inputdir=test --load-extension=$(EXTENSION)
 
 # For /arch flags
@@ -20,6 +19,11 @@ PG_CFLAGS = $(PG_CFLAGS) $(OPTFLAGS) /O2 /fp:fast
 # https://learn.microsoft.com/en-us/cpp/error-messages/tool-errors/vectorizer-and-parallelizer-messages
 # PG_CFLAGS = $(PG_CFLAGS) /Qvec-report:2
 
+all: sql\$(EXTENSION)--$(EXTVERSION).sql
+
+sql\$(EXTENSION)--$(EXTVERSION).sql: sql\$(EXTENSION).sql
+	copy sql\$(EXTENSION).sql $@
+
 # TODO use pg_config
 !ifndef PGROOT
 !error PGROOT is not set
@@ -31,9 +35,6 @@ LIBDIR = $(PGROOT)\lib
 PKGLIBDIR = $(PGROOT)\lib
 SHAREDIR = $(PGROOT)\share
 
-# Use $(PGROOT)\bin\pg_regress for Postgres < 17
-PG_REGRESS = $(LIBDIR)\pgxs\src\test\regress\pg_regress
-
 CFLAGS = /nologo /I"$(INCLUDEDIR_SERVER)\port\win32_msvc" /I"$(INCLUDEDIR_SERVER)\port\win32" /I"$(INCLUDEDIR_SERVER)" /I"$(INCLUDEDIR)"
 
 CFLAGS = $(CFLAGS) $(PG_CFLAGS)
@@ -42,26 +43,23 @@ SHLIB = $(EXTENSION).dll
 
 LIBS = "$(LIBDIR)\postgres.lib"
 
-all: $(SHLIB) $(DATA_built)
-
 .c.obj:
 	$(CC) $(CFLAGS) /c $< /Fo$@
 
 $(SHLIB): $(OBJS)
 	$(CC) $(CFLAGS) $(OBJS) $(LIBS) /link /DLL /OUT:$(SHLIB)
 
-sql\$(EXTENSION)--$(EXTVERSION).sql: sql\$(EXTENSION).sql
+all: $(SHLIB)
-	copy sql\$(EXTENSION).sql $@
 
-install: all
+install:
 	copy $(SHLIB) "$(PKGLIBDIR)"
 	copy $(EXTENSION).control "$(SHAREDIR)\extension"
 	copy sql\$(EXTENSION)--*.sql "$(SHAREDIR)\extension"
-	if not exist "$(INCLUDEDIR_SERVER)\extension\$(EXTENSION)" mkdir "$(INCLUDEDIR_SERVER)\extension\$(EXTENSION)"
+	mkdir "$(INCLUDEDIR_SERVER)\extension\$(EXTENSION)"
 	for %f in ($(HEADERS)) do copy %f "$(INCLUDEDIR_SERVER)\extension\$(EXTENSION)"
 
 installcheck:
-	"$(PG_REGRESS)" --bindir="$(BINDIR)" $(REGRESS_OPTS) $(REGRESS)
+	"$(BINDIR)\pg_regress" --bindir="$(BINDIR)" $(REGRESS_OPTS) $(REGRESS)
 
 uninstall:
 	del /f "$(PKGLIBDIR)\$(SHLIB)"
@@ -72,6 +70,6 @@ uninstall:
 
 clean:
 	del /f $(SHLIB) $(EXTENSION).lib $(EXTENSION).exp
-	del /f $(DATA_built)
 	del /f $(OBJS)
+	del /f sql\$(EXTENSION)--$(EXTVERSION).sql
 	del /f /s /q results regression.diffs regression.out tmp_check tmp_check_iso log output_iso

sql/vector--0.5.1--0.6.0.sql

@@ -1,5 +1,18 @@
 -- complain if script is sourced in psql, rather than via CREATE EXTENSION
 \echo Use "ALTER EXTENSION vector UPDATE TO '0.6.0'" to load this file. \quit
 
--- remove this single line for Postgres < 13
+CREATE FUNCTION hnsw_attribute_distance(integer, integer) RETURNS float8
-ALTER TYPE vector SET (STORAGE = external);
+	AS 'MODULE_PATHNAME', 'hnsw_int4_attribute_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
+
+CREATE FUNCTION hnsw_attribute_distance(bigint, bigint) RETURNS float8
+	AS 'MODULE_PATHNAME', 'hnsw_int8_attribute_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
+
+CREATE OPERATOR CLASS vector_integer_ops
+	DEFAULT FOR TYPE integer USING hnsw AS
+	OPERATOR 2 = (integer, integer),
+	FUNCTION 3 hnsw_attribute_distance(integer, integer);
+
+CREATE OPERATOR CLASS vector_bigint_ops
+	DEFAULT FOR TYPE bigint USING hnsw AS
+	OPERATOR 2 = (bigint, bigint),
+	FUNCTION 3 hnsw_attribute_distance(bigint, bigint);

sql/vector--0.6.0--0.6.1.sql

@@ -1,16 +0,0 @@
--- complain if script is sourced in psql, rather than via CREATE EXTENSION
-\echo Use "ALTER EXTENSION vector UPDATE TO '0.6.1'" to load this file. \quit
-
-DROP OPERATOR - (vector, vector);
-
-CREATE OPERATOR - (
-	LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_sub
-);
-
-ALTER OPERATOR <= (vector, vector) SET (
-	RESTRICT = scalarlesel, JOIN = scalarlejoinsel
-);
-
-ALTER OPERATOR >= (vector, vector) SET (
-	RESTRICT = scalargesel, JOIN = scalargejoinsel
-);

sql/vector--0.6.1--0.6.2.sql

@@ -1,2 +0,0 @@
--- complain if script is sourced in psql, rather than via CREATE EXTENSION
-\echo Use "ALTER EXTENSION vector UPDATE TO '0.6.2'" to load this file. \quit

sql/vector--0.6.2--0.7.0.sql

@@ -1,569 +0,0 @@
--- complain if script is sourced in psql, rather than via CREATE EXTENSION
-\echo Use "ALTER EXTENSION vector UPDATE TO '0.7.0'" to load this file. \quit
-
-CREATE FUNCTION l2_normalize(vector) RETURNS vector
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION binary_quantize(vector) RETURNS bit
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION subvector(vector, int, int) RETURNS vector
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION vector_concat(vector, vector) RETURNS vector
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE OPERATOR <+> (
-	LEFTARG = vector, RIGHTARG = vector, PROCEDURE = l1_distance,
-	COMMUTATOR = '<+>'
-);
-
-CREATE OPERATOR || (
-	LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_concat
-);
-
-CREATE FUNCTION ivfflat_halfvec_support(internal) RETURNS internal
-	AS 'MODULE_PATHNAME' LANGUAGE C;
-
-CREATE FUNCTION ivfflat_bit_support(internal) RETURNS internal
-	AS 'MODULE_PATHNAME' LANGUAGE C;
-
-CREATE FUNCTION hnsw_halfvec_support(internal) RETURNS internal
-	AS 'MODULE_PATHNAME' LANGUAGE C;
-
-CREATE FUNCTION hnsw_bit_support(internal) RETURNS internal
-	AS 'MODULE_PATHNAME' LANGUAGE C;
-
-CREATE FUNCTION hnsw_sparsevec_support(internal) RETURNS internal
-	AS 'MODULE_PATHNAME' LANGUAGE C;
-
-CREATE OPERATOR CLASS vector_l1_ops
-	FOR TYPE vector USING hnsw AS
-	OPERATOR 1 <+> (vector, vector) FOR ORDER BY float_ops,
-	FUNCTION 1 l1_distance(vector, vector);
-
-CREATE TYPE halfvec;
-
-CREATE FUNCTION halfvec_in(cstring, oid, integer) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_out(halfvec) RETURNS cstring
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_typmod_in(cstring[]) RETURNS integer
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_recv(internal, oid, integer) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_send(halfvec) RETURNS bytea
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE TYPE halfvec (
-	INPUT     = halfvec_in,
-	OUTPUT    = halfvec_out,
-	TYPMOD_IN = halfvec_typmod_in,
-	RECEIVE   = halfvec_recv,
-	SEND      = halfvec_send,
-	STORAGE   = external
-);
-
-CREATE FUNCTION l2_distance(halfvec, halfvec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'halfvec_l2_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION inner_product(halfvec, halfvec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'halfvec_inner_product' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION cosine_distance(halfvec, halfvec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'halfvec_cosine_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION l1_distance(halfvec, halfvec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'halfvec_l1_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION vector_dims(halfvec) RETURNS integer
-	AS 'MODULE_PATHNAME', 'halfvec_vector_dims' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION l2_norm(halfvec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'halfvec_l2_norm' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION l2_normalize(halfvec) RETURNS halfvec
-	AS 'MODULE_PATHNAME', 'halfvec_l2_normalize' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION binary_quantize(halfvec) RETURNS bit
-	AS 'MODULE_PATHNAME', 'halfvec_binary_quantize' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION subvector(halfvec, int, int) RETURNS halfvec
-	AS 'MODULE_PATHNAME', 'halfvec_subvector' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_add(halfvec, halfvec) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_sub(halfvec, halfvec) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_mul(halfvec, halfvec) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_concat(halfvec, halfvec) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_lt(halfvec, halfvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_le(halfvec, halfvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_eq(halfvec, halfvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_ne(halfvec, halfvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_ge(halfvec, halfvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_gt(halfvec, halfvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_cmp(halfvec, halfvec) RETURNS int4
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_l2_squared_distance(halfvec, halfvec) RETURNS float8
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_negative_inner_product(halfvec, halfvec) RETURNS float8
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_spherical_distance(halfvec, halfvec) RETURNS float8
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_accum(double precision[], halfvec) RETURNS double precision[]
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_avg(double precision[]) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_combine(double precision[], double precision[]) RETURNS double precision[]
-	AS 'MODULE_PATHNAME', 'vector_combine' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE AGGREGATE avg(halfvec) (
-	SFUNC = halfvec_accum,
-	STYPE = double precision[],
-	FINALFUNC = halfvec_avg,
-	COMBINEFUNC = halfvec_combine,
-	INITCOND = '{0}',
-	PARALLEL = SAFE
-);
-
-CREATE AGGREGATE sum(halfvec) (
-	SFUNC = halfvec_add,
-	STYPE = halfvec,
-	COMBINEFUNC = halfvec_add,
-	PARALLEL = SAFE
-);
-
-CREATE FUNCTION halfvec(halfvec, integer, boolean) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_to_vector(halfvec, integer, boolean) RETURNS vector
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION vector_to_halfvec(vector, integer, boolean) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION array_to_halfvec(integer[], integer, boolean) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION array_to_halfvec(real[], integer, boolean) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION array_to_halfvec(double precision[], integer, boolean) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION array_to_halfvec(numeric[], integer, boolean) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_to_float4(halfvec, integer, boolean) RETURNS real[]
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE CAST (halfvec AS halfvec)
-	WITH FUNCTION halfvec(halfvec, integer, boolean) AS IMPLICIT;
-
-CREATE CAST (halfvec AS vector)
-	WITH FUNCTION halfvec_to_vector(halfvec, integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (vector AS halfvec)
-	WITH FUNCTION vector_to_halfvec(vector, integer, boolean) AS IMPLICIT;
-
-CREATE CAST (halfvec AS real[])
-	WITH FUNCTION halfvec_to_float4(halfvec, integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (integer[] AS halfvec)
-	WITH FUNCTION array_to_halfvec(integer[], integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (real[] AS halfvec)
-	WITH FUNCTION array_to_halfvec(real[], integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (double precision[] AS halfvec)
-	WITH FUNCTION array_to_halfvec(double precision[], integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (numeric[] AS halfvec)
-	WITH FUNCTION array_to_halfvec(numeric[], integer, boolean) AS ASSIGNMENT;
-
-CREATE OPERATOR <-> (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = l2_distance,
-	COMMUTATOR = '<->'
-);
-
-CREATE OPERATOR <#> (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_negative_inner_product,
-	COMMUTATOR = '<#>'
-);
-
-CREATE OPERATOR <=> (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = cosine_distance,
-	COMMUTATOR = '<=>'
-);
-
-CREATE OPERATOR <+> (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = l1_distance,
-	COMMUTATOR = '<+>'
-);
-
-CREATE OPERATOR + (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_add,
-	COMMUTATOR = +
-);
-
-CREATE OPERATOR - (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_sub
-);
-
-CREATE OPERATOR * (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_mul,
-	COMMUTATOR = *
-);
-
-CREATE OPERATOR || (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_concat
-);
-
-CREATE OPERATOR < (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_lt,
-	COMMUTATOR = > , NEGATOR = >= ,
-	RESTRICT = scalarltsel, JOIN = scalarltjoinsel
-);
-
-CREATE OPERATOR <= (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_le,
-	COMMUTATOR = >= , NEGATOR = > ,
-	RESTRICT = scalarlesel, JOIN = scalarlejoinsel
-);
-
-CREATE OPERATOR = (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_eq,
-	COMMUTATOR = = , NEGATOR = <> ,
-	RESTRICT = eqsel, JOIN = eqjoinsel
-);
-
-CREATE OPERATOR <> (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_ne,
-	COMMUTATOR = <> , NEGATOR = = ,
-	RESTRICT = eqsel, JOIN = eqjoinsel
-);
-
-CREATE OPERATOR >= (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_ge,
-	COMMUTATOR = <= , NEGATOR = < ,
-	RESTRICT = scalargesel, JOIN = scalargejoinsel
-);
-
-CREATE OPERATOR > (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_gt,
-	COMMUTATOR = < , NEGATOR = <= ,
-	RESTRICT = scalargtsel, JOIN = scalargtjoinsel
-);
-
-CREATE OPERATOR CLASS halfvec_ops
-	DEFAULT FOR TYPE halfvec USING btree AS
-	OPERATOR 1 < ,
-	OPERATOR 2 <= ,
-	OPERATOR 3 = ,
-	OPERATOR 4 >= ,
-	OPERATOR 5 > ,
-	FUNCTION 1 halfvec_cmp(halfvec, halfvec);
-
-CREATE OPERATOR CLASS halfvec_l2_ops
-	FOR TYPE halfvec USING ivfflat AS
-	OPERATOR 1 <-> (halfvec, halfvec) FOR ORDER BY float_ops,
-	FUNCTION 1 halfvec_l2_squared_distance(halfvec, halfvec),
-	FUNCTION 3 l2_distance(halfvec, halfvec),
-	FUNCTION 5 ivfflat_halfvec_support(internal);
-
-CREATE OPERATOR CLASS halfvec_ip_ops
-	FOR TYPE halfvec USING ivfflat AS
-	OPERATOR 1 <#> (halfvec, halfvec) FOR ORDER BY float_ops,
-	FUNCTION 1 halfvec_negative_inner_product(halfvec, halfvec),
-	FUNCTION 3 halfvec_spherical_distance(halfvec, halfvec),
-	FUNCTION 4 l2_norm(halfvec),
-	FUNCTION 5 ivfflat_halfvec_support(internal);
-
-CREATE OPERATOR CLASS halfvec_cosine_ops
-	FOR TYPE halfvec USING ivfflat AS
-	OPERATOR 1 <=> (halfvec, halfvec) FOR ORDER BY float_ops,
-	FUNCTION 1 halfvec_negative_inner_product(halfvec, halfvec),
-	FUNCTION 2 l2_norm(halfvec),
-	FUNCTION 3 halfvec_spherical_distance(halfvec, halfvec),
-	FUNCTION 4 l2_norm(halfvec),
-	FUNCTION 5 ivfflat_halfvec_support(internal);
-
-CREATE OPERATOR CLASS halfvec_l2_ops
-	FOR TYPE halfvec USING hnsw AS
-	OPERATOR 1 <-> (halfvec, halfvec) FOR ORDER BY float_ops,
-	FUNCTION 1 halfvec_l2_squared_distance(halfvec, halfvec),
-	FUNCTION 3 hnsw_halfvec_support(internal);
-
-CREATE OPERATOR CLASS halfvec_ip_ops
-	FOR TYPE halfvec USING hnsw AS
-	OPERATOR 1 <#> (halfvec, halfvec) FOR ORDER BY float_ops,
-	FUNCTION 1 halfvec_negative_inner_product(halfvec, halfvec),
-	FUNCTION 3 hnsw_halfvec_support(internal);
-
-CREATE OPERATOR CLASS halfvec_cosine_ops
-	FOR TYPE halfvec USING hnsw AS
-	OPERATOR 1 <=> (halfvec, halfvec) FOR ORDER BY float_ops,
-	FUNCTION 1 halfvec_negative_inner_product(halfvec, halfvec),
-	FUNCTION 2 l2_norm(halfvec),
-	FUNCTION 3 hnsw_halfvec_support(internal);
-
-CREATE OPERATOR CLASS halfvec_l1_ops
-	FOR TYPE halfvec USING hnsw AS
-	OPERATOR 1 <+> (halfvec, halfvec) FOR ORDER BY float_ops,
-	FUNCTION 1 l1_distance(halfvec, halfvec),
-	FUNCTION 3 hnsw_halfvec_support(internal);
-
-CREATE FUNCTION hamming_distance(bit, bit) RETURNS float8
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION jaccard_distance(bit, bit) RETURNS float8
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE OPERATOR <~> (
-	LEFTARG = bit, RIGHTARG = bit, PROCEDURE = hamming_distance,
-	COMMUTATOR = '<~>'
-);
-
-CREATE OPERATOR <%> (
-	LEFTARG = bit, RIGHTARG = bit, PROCEDURE = jaccard_distance,
-	COMMUTATOR = '<%>'
-);
-
-CREATE OPERATOR CLASS bit_hamming_ops
-	FOR TYPE bit USING ivfflat AS
-	OPERATOR 1 <~> (bit, bit) FOR ORDER BY float_ops,
-	FUNCTION 1 hamming_distance(bit, bit),
-	FUNCTION 3 hamming_distance(bit, bit),
-	FUNCTION 5 ivfflat_bit_support(internal);
-
-CREATE OPERATOR CLASS bit_hamming_ops
-	FOR TYPE bit USING hnsw AS
-	OPERATOR 1 <~> (bit, bit) FOR ORDER BY float_ops,
-	FUNCTION 1 hamming_distance(bit, bit),
-	FUNCTION 3 hnsw_bit_support(internal);
-
-CREATE OPERATOR CLASS bit_jaccard_ops
-	FOR TYPE bit USING hnsw AS
-	OPERATOR 1 <%> (bit, bit) FOR ORDER BY float_ops,
-	FUNCTION 1 jaccard_distance(bit, bit),
-	FUNCTION 3 hnsw_bit_support(internal);
-
-CREATE TYPE sparsevec;
-
-CREATE FUNCTION sparsevec_in(cstring, oid, integer) RETURNS sparsevec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_out(sparsevec) RETURNS cstring
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_typmod_in(cstring[]) RETURNS integer
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_recv(internal, oid, integer) RETURNS sparsevec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_send(sparsevec) RETURNS bytea
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE TYPE sparsevec (
-	INPUT     = sparsevec_in,
-	OUTPUT    = sparsevec_out,
-	TYPMOD_IN = sparsevec_typmod_in,
-	RECEIVE   = sparsevec_recv,
-	SEND      = sparsevec_send,
-	STORAGE   = external
-);
-
-CREATE FUNCTION l2_distance(sparsevec, sparsevec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'sparsevec_l2_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION inner_product(sparsevec, sparsevec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'sparsevec_inner_product' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION cosine_distance(sparsevec, sparsevec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'sparsevec_cosine_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION l1_distance(sparsevec, sparsevec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'sparsevec_l1_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION l2_norm(sparsevec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'sparsevec_l2_norm' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION l2_normalize(sparsevec) RETURNS sparsevec
-	AS 'MODULE_PATHNAME', 'sparsevec_l2_normalize' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_lt(sparsevec, sparsevec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_le(sparsevec, sparsevec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_eq(sparsevec, sparsevec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_ne(sparsevec, sparsevec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_ge(sparsevec, sparsevec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_gt(sparsevec, sparsevec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_cmp(sparsevec, sparsevec) RETURNS int4
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_l2_squared_distance(sparsevec, sparsevec) RETURNS float8
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_negative_inner_product(sparsevec, sparsevec) RETURNS float8
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec(sparsevec, integer, boolean) RETURNS sparsevec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION vector_to_sparsevec(vector, integer, boolean) RETURNS sparsevec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_to_vector(sparsevec, integer, boolean) RETURNS vector
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_to_sparsevec(halfvec, integer, boolean) RETURNS sparsevec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_to_halfvec(sparsevec, integer, boolean) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE CAST (sparsevec AS sparsevec)
-	WITH FUNCTION sparsevec(sparsevec, integer, boolean) AS IMPLICIT;
-
-CREATE CAST (sparsevec AS vector)
-	WITH FUNCTION sparsevec_to_vector(sparsevec, integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (vector AS sparsevec)
-	WITH FUNCTION vector_to_sparsevec(vector, integer, boolean) AS IMPLICIT;
-
-CREATE CAST (sparsevec AS halfvec)
-	WITH FUNCTION sparsevec_to_halfvec(sparsevec, integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (halfvec AS sparsevec)
-	WITH FUNCTION halfvec_to_sparsevec(halfvec, integer, boolean) AS IMPLICIT;
-
-CREATE OPERATOR <-> (
-	LEFTARG = sparsevec, RIGHTARG = sparsevec, PROCEDURE = l2_distance,
-	COMMUTATOR = '<->'
-);
-
-CREATE OPERATOR <#> (
-	LEFTARG = sparsevec, RIGHTARG = sparsevec, PROCEDURE = sparsevec_negative_inner_product,
-	COMMUTATOR = '<#>'
-);
-
-CREATE OPERATOR <=> (
-	LEFTARG = sparsevec, RIGHTARG = sparsevec, PROCEDURE = cosine_distance,
-	COMMUTATOR = '<=>'
-);
-
-CREATE OPERATOR <+> (
-	LEFTARG = sparsevec, RIGHTARG = sparsevec, PROCEDURE = l1_distance,
-	COMMUTATOR = '<+>'
-);
-
-CREATE OPERATOR < (
-	LEFTARG = sparsevec, RIGHTARG = sparsevec, PROCEDURE = sparsevec_lt,
-	COMMUTATOR = > , NEGATOR = >= ,
-	RESTRICT = scalarltsel, JOIN = scalarltjoinsel
-);
-
-CREATE OPERATOR <= (
-	LEFTARG = sparsevec, RIGHTARG = sparsevec, PROCEDURE = sparsevec_le,
-	COMMUTATOR = >= , NEGATOR = > ,
-	RESTRICT = scalarlesel, JOIN = scalarlejoinsel
-);
-
-CREATE OPERATOR = (
-	LEFTARG = sparsevec, RIGHTARG = sparsevec, PROCEDURE = sparsevec_eq,
-	COMMUTATOR = = , NEGATOR = <> ,
-	RESTRICT = eqsel, JOIN = eqjoinsel
-);
-
-CREATE OPERATOR <> (
-	LEFTARG = sparsevec, RIGHTARG = sparsevec, PROCEDURE = sparsevec_ne,
-	COMMUTATOR = <> , NEGATOR = = ,
-	RESTRICT = eqsel, JOIN = eqjoinsel
-);
-
-CREATE OPERATOR >= (
-	LEFTARG = sparsevec, RIGHTARG = sparsevec, PROCEDURE = sparsevec_ge,
-	COMMUTATOR = <= , NEGATOR = < ,
-	RESTRICT = scalargesel, JOIN = scalargejoinsel
-);
-
-CREATE OPERATOR > (
-	LEFTARG = sparsevec, RIGHTARG = sparsevec, PROCEDURE = sparsevec_gt,
-	COMMUTATOR = < , NEGATOR = <= ,
-	RESTRICT = scalargtsel, JOIN = scalargtjoinsel
-);
-
-CREATE OPERATOR CLASS sparsevec_ops
-	DEFAULT FOR TYPE sparsevec USING btree AS
-	OPERATOR 1 < ,
-	OPERATOR 2 <= ,
-	OPERATOR 3 = ,
-	OPERATOR 4 >= ,
-	OPERATOR 5 > ,
-	FUNCTION 1 sparsevec_cmp(sparsevec, sparsevec);
-
-CREATE OPERATOR CLASS sparsevec_l2_ops
-	FOR TYPE sparsevec USING hnsw AS
-	OPERATOR 1 <-> (sparsevec, sparsevec) FOR ORDER BY float_ops,
-	FUNCTION 1 sparsevec_l2_squared_distance(sparsevec, sparsevec),
-	FUNCTION 3 hnsw_sparsevec_support(internal);
-
-CREATE OPERATOR CLASS sparsevec_ip_ops
-	FOR TYPE sparsevec USING hnsw AS
-	OPERATOR 1 <#> (sparsevec, sparsevec) FOR ORDER BY float_ops,
-	FUNCTION 1 sparsevec_negative_inner_product(sparsevec, sparsevec),
-	FUNCTION 3 hnsw_sparsevec_support(internal);
-
-CREATE OPERATOR CLASS sparsevec_cosine_ops
-	FOR TYPE sparsevec USING hnsw AS
-	OPERATOR 1 <=> (sparsevec, sparsevec) FOR ORDER BY float_ops,
-	FUNCTION 1 sparsevec_negative_inner_product(sparsevec, sparsevec),
-	FUNCTION 2 l2_norm(sparsevec),
-	FUNCTION 3 hnsw_sparsevec_support(internal);
-
-CREATE OPERATOR CLASS sparsevec_l1_ops
-	FOR TYPE sparsevec USING hnsw AS
-	OPERATOR 1 <+> (sparsevec, sparsevec) FOR ORDER BY float_ops,
-	FUNCTION 1 l1_distance(sparsevec, sparsevec),
-	FUNCTION 3 hnsw_sparsevec_support(internal);

sql/vector--0.7.0--0.7.1.sql

@@ -1,2 +0,0 @@
--- complain if script is sourced in psql, rather than via CREATE EXTENSION
-\echo Use "ALTER EXTENSION vector UPDATE TO '0.7.1'" to load this file. \quit

sql/vector--0.7.1--0.7.2.sql

@@ -1,2 +0,0 @@
--- complain if script is sourced in psql, rather than via CREATE EXTENSION
-\echo Use "ALTER EXTENSION vector UPDATE TO '0.7.2'" to load this file. \quit

sql/vector--0.7.2--0.7.3.sql

@@ -1,2 +0,0 @@
--- complain if script is sourced in psql, rather than via CREATE EXTENSION
-\echo Use "ALTER EXTENSION vector UPDATE TO '0.7.3'" to load this file. \quit

sql/vector--0.7.3--0.7.4.sql

@@ -1,2 +0,0 @@
--- complain if script is sourced in psql, rather than via CREATE EXTENSION
-\echo Use "ALTER EXTENSION vector UPDATE TO '0.7.4'" to load this file. \quit

sql/vector--0.7.4--0.8.0.sql

@@ -1,26 +0,0 @@
--- complain if script is sourced in psql, rather than via CREATE EXTENSION
-\echo Use "ALTER EXTENSION vector UPDATE TO '0.8.0'" to load this file. \quit
-
-CREATE FUNCTION array_to_sparsevec(integer[], integer, boolean) RETURNS sparsevec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION array_to_sparsevec(real[], integer, boolean) RETURNS sparsevec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION array_to_sparsevec(double precision[], integer, boolean) RETURNS sparsevec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION array_to_sparsevec(numeric[], integer, boolean) RETURNS sparsevec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE CAST (integer[] AS sparsevec)
-	WITH FUNCTION array_to_sparsevec(integer[], integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (real[] AS sparsevec)
-	WITH FUNCTION array_to_sparsevec(real[], integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (double precision[] AS sparsevec)
-	WITH FUNCTION array_to_sparsevec(double precision[], integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (numeric[] AS sparsevec)
-	WITH FUNCTION array_to_sparsevec(numeric[], integer, boolean) AS ASSIGNMENT;

sql/vector--0.8.0--0.8.1.sql

@@ -1,2 +0,0 @@
--- complain if script is sourced in psql, rather than via CREATE EXTENSION
-\echo Use "ALTER EXTENSION vector UPDATE TO '0.8.1'" to load this file. \quit

sql/vector--0.8.1--0.8.2.sql

@@ -1,2 +0,0 @@
--- complain if script is sourced in psql, rather than via CREATE EXTENSION
-\echo Use "ALTER EXTENSION vector UPDATE TO '0.8.2'" to load this file. \quit

sql/vector--0.8.2--0.8.3.sql

@@ -1,2 +0,0 @@
--- complain if script is sourced in psql, rather than via CREATE EXTENSION
-\echo Use "ALTER EXTENSION vector UPDATE TO '0.8.3'" to load this file. \quit

sql/vector--0.8.3--0.8.4.sql

@@ -1,2 +0,0 @@
--- complain if script is sourced in psql, rather than via CREATE EXTENSION
-\echo Use "ALTER EXTENSION vector UPDATE TO '0.8.4'" to load this file. \quit

sql/vector--0.8.4--0.8.5.sql

@@ -1,2 +0,0 @@
--- complain if script is sourced in psql, rather than via CREATE EXTENSION
-\echo Use "ALTER EXTENSION vector UPDATE TO '0.8.5'" to load this file. \quit

sql/vector.sql

@@ -1,7 +1,7 @@
 -- complain if script is sourced in psql, rather than via CREATE EXTENSION
 \echo Use "CREATE EXTENSION vector" to load this file. \quit
 
--- vector type
+-- type
 
 CREATE TYPE vector;
 
@@ -26,10 +26,10 @@ CREATE TYPE vector (
 	TYPMOD_IN = vector_typmod_in,
 	RECEIVE   = vector_recv,
 	SEND      = vector_send,
-	STORAGE   = external
+	STORAGE   = extended
 );
 
--- vector functions
+-- functions
 
 CREATE FUNCTION l2_distance(vector, vector) RETURNS float8
 	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
@@ -49,17 +49,6 @@ CREATE FUNCTION vector_dims(vector) RETURNS integer
 CREATE FUNCTION vector_norm(vector) RETURNS float8
 	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
 
-CREATE FUNCTION l2_normalize(vector) RETURNS vector
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION binary_quantize(vector) RETURNS bit
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION subvector(vector, int, int) RETURNS vector
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
--- vector private functions
-
 CREATE FUNCTION vector_add(vector, vector) RETURNS vector
 	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
 
@@ -69,8 +58,7 @@ CREATE FUNCTION vector_sub(vector, vector) RETURNS vector
 CREATE FUNCTION vector_mul(vector, vector) RETURNS vector
 	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
 
-CREATE FUNCTION vector_concat(vector, vector) RETURNS vector
+-- private functions
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
 
 CREATE FUNCTION vector_lt(vector, vector) RETURNS bool
 	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
@@ -111,7 +99,7 @@ CREATE FUNCTION vector_avg(double precision[]) RETURNS vector
 CREATE FUNCTION vector_combine(double precision[], double precision[]) RETURNS double precision[]
 	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
 
--- vector aggregates
+-- aggregates
 
 CREATE AGGREGATE avg(vector) (
 	SFUNC = vector_accum,
@@ -129,7 +117,7 @@ CREATE AGGREGATE sum(vector) (
 	PARALLEL = SAFE
 );
 
--- vector cast functions
+-- cast functions
 
 CREATE FUNCTION vector(vector, integer, boolean) RETURNS vector
 	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
@@ -149,7 +137,7 @@ CREATE FUNCTION array_to_vector(numeric[], integer, boolean) RETURNS vector
 CREATE FUNCTION vector_to_float4(vector, integer, boolean) RETURNS real[]
 	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
 
--- vector casts
+-- casts
 
 CREATE CAST (vector AS vector)
 	WITH FUNCTION vector(vector, integer, boolean) AS IMPLICIT;
@@ -169,7 +157,7 @@ CREATE CAST (double precision[] AS vector)
 CREATE CAST (numeric[] AS vector)
 	WITH FUNCTION array_to_vector(numeric[], integer, boolean) AS ASSIGNMENT;
 
--- vector operators
+-- operators
 
 CREATE OPERATOR <-> (
 	LEFTARG = vector, RIGHTARG = vector, PROCEDURE = l2_distance,
@@ -186,18 +174,14 @@ CREATE OPERATOR <=> (
 	COMMUTATOR = '<=>'
 );
 
-CREATE OPERATOR <+> (
-	LEFTARG = vector, RIGHTARG = vector, PROCEDURE = l1_distance,
-	COMMUTATOR = '<+>'
-);
-
 CREATE OPERATOR + (
 	LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_add,
 	COMMUTATOR = +
 );
 
 CREATE OPERATOR - (
-	LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_sub
+	LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_sub,
+	COMMUTATOR = -
 );
 
 CREATE OPERATOR * (
@@ -205,20 +189,17 @@ CREATE OPERATOR * (
 	COMMUTATOR = *
 );
 
-CREATE OPERATOR || (
-	LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_concat
-);
-
 CREATE OPERATOR < (
 	LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_lt,
 	COMMUTATOR = > , NEGATOR = >= ,
 	RESTRICT = scalarltsel, JOIN = scalarltjoinsel
 );
 
+-- should use scalarlesel and scalarlejoinsel, but not supported in Postgres < 11
 CREATE OPERATOR <= (
 	LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_le,
 	COMMUTATOR = >= , NEGATOR = > ,
-	RESTRICT = scalarlesel, JOIN = scalarlejoinsel
+	RESTRICT = scalarltsel, JOIN = scalarltjoinsel
 );
 
 CREATE OPERATOR = (
@@ -233,10 +214,11 @@ CREATE OPERATOR <> (
 	RESTRICT = eqsel, JOIN = eqjoinsel
 );
 
+-- should use scalargesel and scalargejoinsel, but not supported in Postgres < 11
 CREATE OPERATOR >= (
 	LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_ge,
 	COMMUTATOR = <= , NEGATOR = < ,
-	RESTRICT = scalargesel, JOIN = scalargejoinsel
+	RESTRICT = scalargtsel, JOIN = scalargtjoinsel
 );
 
 CREATE OPERATOR > (
@@ -261,24 +243,7 @@ CREATE ACCESS METHOD hnsw TYPE INDEX HANDLER hnswhandler;
 
 COMMENT ON ACCESS METHOD hnsw IS 'hnsw index access method';
 
--- access method private functions
+-- opclasses
-
-CREATE FUNCTION ivfflat_halfvec_support(internal) RETURNS internal
-	AS 'MODULE_PATHNAME' LANGUAGE C;
-
-CREATE FUNCTION ivfflat_bit_support(internal) RETURNS internal
-	AS 'MODULE_PATHNAME' LANGUAGE C;
-
-CREATE FUNCTION hnsw_halfvec_support(internal) RETURNS internal
-	AS 'MODULE_PATHNAME' LANGUAGE C;
-
-CREATE FUNCTION hnsw_bit_support(internal) RETURNS internal
-	AS 'MODULE_PATHNAME' LANGUAGE C;
-
-CREATE FUNCTION hnsw_sparsevec_support(internal) RETURNS internal
-	AS 'MODULE_PATHNAME' LANGUAGE C;
-
--- vector opclasses
 
 CREATE OPERATOR CLASS vector_ops
 	DEFAULT FOR TYPE vector USING btree AS
@@ -326,593 +291,20 @@ CREATE OPERATOR CLASS vector_cosine_ops
 	FUNCTION 1 vector_negative_inner_product(vector, vector),
 	FUNCTION 2 vector_norm(vector);
 
-CREATE OPERATOR CLASS vector_l1_ops
+-- hnsw attributes
-	FOR TYPE vector USING hnsw AS
-	OPERATOR 1 <+> (vector, vector) FOR ORDER BY float_ops,
-	FUNCTION 1 l1_distance(vector, vector);
 
--- halfvec type
+CREATE FUNCTION hnsw_attribute_distance(integer, integer) RETURNS float8
+	AS 'MODULE_PATHNAME', 'hnsw_int4_attribute_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
 
-CREATE TYPE halfvec;
+CREATE FUNCTION hnsw_attribute_distance(bigint, bigint) RETURNS float8
+	AS 'MODULE_PATHNAME', 'hnsw_int8_attribute_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
 
-CREATE FUNCTION halfvec_in(cstring, oid, integer) RETURNS halfvec
+CREATE OPERATOR CLASS vector_integer_ops
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
+	DEFAULT FOR TYPE integer USING hnsw AS
+	OPERATOR 2 = (integer, integer),
+	FUNCTION 3 hnsw_attribute_distance(integer, integer);
 
-CREATE FUNCTION halfvec_out(halfvec) RETURNS cstring
+CREATE OPERATOR CLASS vector_bigint_ops
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
+	DEFAULT FOR TYPE bigint USING hnsw AS
-
+	OPERATOR 2 = (bigint, bigint),
-CREATE FUNCTION halfvec_typmod_in(cstring[]) RETURNS integer
+	FUNCTION 3 hnsw_attribute_distance(bigint, bigint);
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_recv(internal, oid, integer) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_send(halfvec) RETURNS bytea
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE TYPE halfvec (
-	INPUT     = halfvec_in,
-	OUTPUT    = halfvec_out,
-	TYPMOD_IN = halfvec_typmod_in,
-	RECEIVE   = halfvec_recv,
-	SEND      = halfvec_send,
-	STORAGE   = external
-);
-
--- halfvec functions
-
-CREATE FUNCTION l2_distance(halfvec, halfvec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'halfvec_l2_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION inner_product(halfvec, halfvec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'halfvec_inner_product' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION cosine_distance(halfvec, halfvec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'halfvec_cosine_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION l1_distance(halfvec, halfvec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'halfvec_l1_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION vector_dims(halfvec) RETURNS integer
-	AS 'MODULE_PATHNAME', 'halfvec_vector_dims' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION l2_norm(halfvec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'halfvec_l2_norm' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION l2_normalize(halfvec) RETURNS halfvec
-	AS 'MODULE_PATHNAME', 'halfvec_l2_normalize' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION binary_quantize(halfvec) RETURNS bit
-	AS 'MODULE_PATHNAME', 'halfvec_binary_quantize' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION subvector(halfvec, int, int) RETURNS halfvec
-	AS 'MODULE_PATHNAME', 'halfvec_subvector' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
--- halfvec private functions
-
-CREATE FUNCTION halfvec_add(halfvec, halfvec) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_sub(halfvec, halfvec) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_mul(halfvec, halfvec) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_concat(halfvec, halfvec) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_lt(halfvec, halfvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_le(halfvec, halfvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_eq(halfvec, halfvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_ne(halfvec, halfvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_ge(halfvec, halfvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_gt(halfvec, halfvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_cmp(halfvec, halfvec) RETURNS int4
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_l2_squared_distance(halfvec, halfvec) RETURNS float8
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_negative_inner_product(halfvec, halfvec) RETURNS float8
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_spherical_distance(halfvec, halfvec) RETURNS float8
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_accum(double precision[], halfvec) RETURNS double precision[]
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_avg(double precision[]) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_combine(double precision[], double precision[]) RETURNS double precision[]
-	AS 'MODULE_PATHNAME', 'vector_combine' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
--- halfvec aggregates
-
-CREATE AGGREGATE avg(halfvec) (
-	SFUNC = halfvec_accum,
-	STYPE = double precision[],
-	FINALFUNC = halfvec_avg,
-	COMBINEFUNC = halfvec_combine,
-	INITCOND = '{0}',
-	PARALLEL = SAFE
-);
-
-CREATE AGGREGATE sum(halfvec) (
-	SFUNC = halfvec_add,
-	STYPE = halfvec,
-	COMBINEFUNC = halfvec_add,
-	PARALLEL = SAFE
-);
-
--- halfvec cast functions
-
-CREATE FUNCTION halfvec(halfvec, integer, boolean) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_to_vector(halfvec, integer, boolean) RETURNS vector
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION vector_to_halfvec(vector, integer, boolean) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION array_to_halfvec(integer[], integer, boolean) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION array_to_halfvec(real[], integer, boolean) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION array_to_halfvec(double precision[], integer, boolean) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION array_to_halfvec(numeric[], integer, boolean) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_to_float4(halfvec, integer, boolean) RETURNS real[]
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
--- halfvec casts
-
-CREATE CAST (halfvec AS halfvec)
-	WITH FUNCTION halfvec(halfvec, integer, boolean) AS IMPLICIT;
-
-CREATE CAST (halfvec AS vector)
-	WITH FUNCTION halfvec_to_vector(halfvec, integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (vector AS halfvec)
-	WITH FUNCTION vector_to_halfvec(vector, integer, boolean) AS IMPLICIT;
-
-CREATE CAST (halfvec AS real[])
-	WITH FUNCTION halfvec_to_float4(halfvec, integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (integer[] AS halfvec)
-	WITH FUNCTION array_to_halfvec(integer[], integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (real[] AS halfvec)
-	WITH FUNCTION array_to_halfvec(real[], integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (double precision[] AS halfvec)
-	WITH FUNCTION array_to_halfvec(double precision[], integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (numeric[] AS halfvec)
-	WITH FUNCTION array_to_halfvec(numeric[], integer, boolean) AS ASSIGNMENT;
-
--- halfvec operators
-
-CREATE OPERATOR <-> (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = l2_distance,
-	COMMUTATOR = '<->'
-);
-
-CREATE OPERATOR <#> (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_negative_inner_product,
-	COMMUTATOR = '<#>'
-);
-
-CREATE OPERATOR <=> (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = cosine_distance,
-	COMMUTATOR = '<=>'
-);
-
-CREATE OPERATOR <+> (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = l1_distance,
-	COMMUTATOR = '<+>'
-);
-
-CREATE OPERATOR + (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_add,
-	COMMUTATOR = +
-);
-
-CREATE OPERATOR - (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_sub
-);
-
-CREATE OPERATOR * (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_mul,
-	COMMUTATOR = *
-);
-
-CREATE OPERATOR || (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_concat
-);
-
-CREATE OPERATOR < (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_lt,
-	COMMUTATOR = > , NEGATOR = >= ,
-	RESTRICT = scalarltsel, JOIN = scalarltjoinsel
-);
-
-CREATE OPERATOR <= (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_le,
-	COMMUTATOR = >= , NEGATOR = > ,
-	RESTRICT = scalarlesel, JOIN = scalarlejoinsel
-);
-
-CREATE OPERATOR = (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_eq,
-	COMMUTATOR = = , NEGATOR = <> ,
-	RESTRICT = eqsel, JOIN = eqjoinsel
-);
-
-CREATE OPERATOR <> (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_ne,
-	COMMUTATOR = <> , NEGATOR = = ,
-	RESTRICT = eqsel, JOIN = eqjoinsel
-);
-
-CREATE OPERATOR >= (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_ge,
-	COMMUTATOR = <= , NEGATOR = < ,
-	RESTRICT = scalargesel, JOIN = scalargejoinsel
-);
-
-CREATE OPERATOR > (
-	LEFTARG = halfvec, RIGHTARG = halfvec, PROCEDURE = halfvec_gt,
-	COMMUTATOR = < , NEGATOR = <= ,
-	RESTRICT = scalargtsel, JOIN = scalargtjoinsel
-);
-
--- halfvec opclasses
-
-CREATE OPERATOR CLASS halfvec_ops
-	DEFAULT FOR TYPE halfvec USING btree AS
-	OPERATOR 1 < ,
-	OPERATOR 2 <= ,
-	OPERATOR 3 = ,
-	OPERATOR 4 >= ,
-	OPERATOR 5 > ,
-	FUNCTION 1 halfvec_cmp(halfvec, halfvec);
-
-CREATE OPERATOR CLASS halfvec_l2_ops
-	FOR TYPE halfvec USING ivfflat AS
-	OPERATOR 1 <-> (halfvec, halfvec) FOR ORDER BY float_ops,
-	FUNCTION 1 halfvec_l2_squared_distance(halfvec, halfvec),
-	FUNCTION 3 l2_distance(halfvec, halfvec),
-	FUNCTION 5 ivfflat_halfvec_support(internal);
-
-CREATE OPERATOR CLASS halfvec_ip_ops
-	FOR TYPE halfvec USING ivfflat AS
-	OPERATOR 1 <#> (halfvec, halfvec) FOR ORDER BY float_ops,
-	FUNCTION 1 halfvec_negative_inner_product(halfvec, halfvec),
-	FUNCTION 3 halfvec_spherical_distance(halfvec, halfvec),
-	FUNCTION 4 l2_norm(halfvec),
-	FUNCTION 5 ivfflat_halfvec_support(internal);
-
-CREATE OPERATOR CLASS halfvec_cosine_ops
-	FOR TYPE halfvec USING ivfflat AS
-	OPERATOR 1 <=> (halfvec, halfvec) FOR ORDER BY float_ops,
-	FUNCTION 1 halfvec_negative_inner_product(halfvec, halfvec),
-	FUNCTION 2 l2_norm(halfvec),
-	FUNCTION 3 halfvec_spherical_distance(halfvec, halfvec),
-	FUNCTION 4 l2_norm(halfvec),
-	FUNCTION 5 ivfflat_halfvec_support(internal);
-
-CREATE OPERATOR CLASS halfvec_l2_ops
-	FOR TYPE halfvec USING hnsw AS
-	OPERATOR 1 <-> (halfvec, halfvec) FOR ORDER BY float_ops,
-	FUNCTION 1 halfvec_l2_squared_distance(halfvec, halfvec),
-	FUNCTION 3 hnsw_halfvec_support(internal);
-
-CREATE OPERATOR CLASS halfvec_ip_ops
-	FOR TYPE halfvec USING hnsw AS
-	OPERATOR 1 <#> (halfvec, halfvec) FOR ORDER BY float_ops,
-	FUNCTION 1 halfvec_negative_inner_product(halfvec, halfvec),
-	FUNCTION 3 hnsw_halfvec_support(internal);
-
-CREATE OPERATOR CLASS halfvec_cosine_ops
-	FOR TYPE halfvec USING hnsw AS
-	OPERATOR 1 <=> (halfvec, halfvec) FOR ORDER BY float_ops,
-	FUNCTION 1 halfvec_negative_inner_product(halfvec, halfvec),
-	FUNCTION 2 l2_norm(halfvec),
-	FUNCTION 3 hnsw_halfvec_support(internal);
-
-CREATE OPERATOR CLASS halfvec_l1_ops
-	FOR TYPE halfvec USING hnsw AS
-	OPERATOR 1 <+> (halfvec, halfvec) FOR ORDER BY float_ops,
-	FUNCTION 1 l1_distance(halfvec, halfvec),
-	FUNCTION 3 hnsw_halfvec_support(internal);
-
--- bit functions
-
-CREATE FUNCTION hamming_distance(bit, bit) RETURNS float8
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION jaccard_distance(bit, bit) RETURNS float8
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
--- bit operators
-
-CREATE OPERATOR <~> (
-	LEFTARG = bit, RIGHTARG = bit, PROCEDURE = hamming_distance,
-	COMMUTATOR = '<~>'
-);
-
-CREATE OPERATOR <%> (
-	LEFTARG = bit, RIGHTARG = bit, PROCEDURE = jaccard_distance,
-	COMMUTATOR = '<%>'
-);
-
--- bit opclasses
-
-CREATE OPERATOR CLASS bit_hamming_ops
-	FOR TYPE bit USING ivfflat AS
-	OPERATOR 1 <~> (bit, bit) FOR ORDER BY float_ops,
-	FUNCTION 1 hamming_distance(bit, bit),
-	FUNCTION 3 hamming_distance(bit, bit),
-	FUNCTION 5 ivfflat_bit_support(internal);
-
-CREATE OPERATOR CLASS bit_hamming_ops
-	FOR TYPE bit USING hnsw AS
-	OPERATOR 1 <~> (bit, bit) FOR ORDER BY float_ops,
-	FUNCTION 1 hamming_distance(bit, bit),
-	FUNCTION 3 hnsw_bit_support(internal);
-
-CREATE OPERATOR CLASS bit_jaccard_ops
-	FOR TYPE bit USING hnsw AS
-	OPERATOR 1 <%> (bit, bit) FOR ORDER BY float_ops,
-	FUNCTION 1 jaccard_distance(bit, bit),
-	FUNCTION 3 hnsw_bit_support(internal);
-
---- sparsevec type
-
-CREATE TYPE sparsevec;
-
-CREATE FUNCTION sparsevec_in(cstring, oid, integer) RETURNS sparsevec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_out(sparsevec) RETURNS cstring
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_typmod_in(cstring[]) RETURNS integer
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_recv(internal, oid, integer) RETURNS sparsevec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_send(sparsevec) RETURNS bytea
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE TYPE sparsevec (
-	INPUT     = sparsevec_in,
-	OUTPUT    = sparsevec_out,
-	TYPMOD_IN = sparsevec_typmod_in,
-	RECEIVE   = sparsevec_recv,
-	SEND      = sparsevec_send,
-	STORAGE   = external
-);
-
--- sparsevec functions
-
-CREATE FUNCTION l2_distance(sparsevec, sparsevec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'sparsevec_l2_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION inner_product(sparsevec, sparsevec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'sparsevec_inner_product' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION cosine_distance(sparsevec, sparsevec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'sparsevec_cosine_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION l1_distance(sparsevec, sparsevec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'sparsevec_l1_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION l2_norm(sparsevec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'sparsevec_l2_norm' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION l2_normalize(sparsevec) RETURNS sparsevec
-	AS 'MODULE_PATHNAME', 'sparsevec_l2_normalize' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
--- sparsevec private functions
-
-CREATE FUNCTION sparsevec_lt(sparsevec, sparsevec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_le(sparsevec, sparsevec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_eq(sparsevec, sparsevec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_ne(sparsevec, sparsevec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_ge(sparsevec, sparsevec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_gt(sparsevec, sparsevec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_cmp(sparsevec, sparsevec) RETURNS int4
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_l2_squared_distance(sparsevec, sparsevec) RETURNS float8
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_negative_inner_product(sparsevec, sparsevec) RETURNS float8
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
--- sparsevec cast functions
-
-CREATE FUNCTION sparsevec(sparsevec, integer, boolean) RETURNS sparsevec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION vector_to_sparsevec(vector, integer, boolean) RETURNS sparsevec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_to_vector(sparsevec, integer, boolean) RETURNS vector
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION halfvec_to_sparsevec(halfvec, integer, boolean) RETURNS sparsevec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION sparsevec_to_halfvec(sparsevec, integer, boolean) RETURNS halfvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION array_to_sparsevec(integer[], integer, boolean) RETURNS sparsevec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION array_to_sparsevec(real[], integer, boolean) RETURNS sparsevec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION array_to_sparsevec(double precision[], integer, boolean) RETURNS sparsevec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION array_to_sparsevec(numeric[], integer, boolean) RETURNS sparsevec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
--- sparsevec casts
-
-CREATE CAST (sparsevec AS sparsevec)
-	WITH FUNCTION sparsevec(sparsevec, integer, boolean) AS IMPLICIT;
-
-CREATE CAST (sparsevec AS vector)
-	WITH FUNCTION sparsevec_to_vector(sparsevec, integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (vector AS sparsevec)
-	WITH FUNCTION vector_to_sparsevec(vector, integer, boolean) AS IMPLICIT;
-
-CREATE CAST (sparsevec AS halfvec)
-	WITH FUNCTION sparsevec_to_halfvec(sparsevec, integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (halfvec AS sparsevec)
-	WITH FUNCTION halfvec_to_sparsevec(halfvec, integer, boolean) AS IMPLICIT;
-
-CREATE CAST (integer[] AS sparsevec)
-	WITH FUNCTION array_to_sparsevec(integer[], integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (real[] AS sparsevec)
-	WITH FUNCTION array_to_sparsevec(real[], integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (double precision[] AS sparsevec)
-	WITH FUNCTION array_to_sparsevec(double precision[], integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (numeric[] AS sparsevec)
-	WITH FUNCTION array_to_sparsevec(numeric[], integer, boolean) AS ASSIGNMENT;
-
--- sparsevec operators
-
-CREATE OPERATOR <-> (
-	LEFTARG = sparsevec, RIGHTARG = sparsevec, PROCEDURE = l2_distance,
-	COMMUTATOR = '<->'
-);
-
-CREATE OPERATOR <#> (
-	LEFTARG = sparsevec, RIGHTARG = sparsevec, PROCEDURE = sparsevec_negative_inner_product,
-	COMMUTATOR = '<#>'
-);
-
-CREATE OPERATOR <=> (
-	LEFTARG = sparsevec, RIGHTARG = sparsevec, PROCEDURE = cosine_distance,
-	COMMUTATOR = '<=>'
-);
-
-CREATE OPERATOR <+> (
-	LEFTARG = sparsevec, RIGHTARG = sparsevec, PROCEDURE = l1_distance,
-	COMMUTATOR = '<+>'
-);
-
-CREATE OPERATOR < (
-	LEFTARG = sparsevec, RIGHTARG = sparsevec, PROCEDURE = sparsevec_lt,
-	COMMUTATOR = > , NEGATOR = >= ,
-	RESTRICT = scalarltsel, JOIN = scalarltjoinsel
-);
-
-CREATE OPERATOR <= (
-	LEFTARG = sparsevec, RIGHTARG = sparsevec, PROCEDURE = sparsevec_le,
-	COMMUTATOR = >= , NEGATOR = > ,
-	RESTRICT = scalarlesel, JOIN = scalarlejoinsel
-);
-
-CREATE OPERATOR = (
-	LEFTARG = sparsevec, RIGHTARG = sparsevec, PROCEDURE = sparsevec_eq,
-	COMMUTATOR = = , NEGATOR = <> ,
-	RESTRICT = eqsel, JOIN = eqjoinsel
-);
-
-CREATE OPERATOR <> (
-	LEFTARG = sparsevec, RIGHTARG = sparsevec, PROCEDURE = sparsevec_ne,
-	COMMUTATOR = <> , NEGATOR = = ,
-	RESTRICT = eqsel, JOIN = eqjoinsel
-);
-
-CREATE OPERATOR >= (
-	LEFTARG = sparsevec, RIGHTARG = sparsevec, PROCEDURE = sparsevec_ge,
-	COMMUTATOR = <= , NEGATOR = < ,
-	RESTRICT = scalargesel, JOIN = scalargejoinsel
-);
-
-CREATE OPERATOR > (
-	LEFTARG = sparsevec, RIGHTARG = sparsevec, PROCEDURE = sparsevec_gt,
-	COMMUTATOR = < , NEGATOR = <= ,
-	RESTRICT = scalargtsel, JOIN = scalargtjoinsel
-);
-
--- sparsevec opclasses
-
-CREATE OPERATOR CLASS sparsevec_ops
-	DEFAULT FOR TYPE sparsevec USING btree AS
-	OPERATOR 1 < ,
-	OPERATOR 2 <= ,
-	OPERATOR 3 = ,
-	OPERATOR 4 >= ,
-	OPERATOR 5 > ,
-	FUNCTION 1 sparsevec_cmp(sparsevec, sparsevec);
-
-CREATE OPERATOR CLASS sparsevec_l2_ops
-	FOR TYPE sparsevec USING hnsw AS
-	OPERATOR 1 <-> (sparsevec, sparsevec) FOR ORDER BY float_ops,
-	FUNCTION 1 sparsevec_l2_squared_distance(sparsevec, sparsevec),
-	FUNCTION 3 hnsw_sparsevec_support(internal);
-
-CREATE OPERATOR CLASS sparsevec_ip_ops
-	FOR TYPE sparsevec USING hnsw AS
-	OPERATOR 1 <#> (sparsevec, sparsevec) FOR ORDER BY float_ops,
-	FUNCTION 1 sparsevec_negative_inner_product(sparsevec, sparsevec),
-	FUNCTION 3 hnsw_sparsevec_support(internal);
-
-CREATE OPERATOR CLASS sparsevec_cosine_ops
-	FOR TYPE sparsevec USING hnsw AS
-	OPERATOR 1 <=> (sparsevec, sparsevec) FOR ORDER BY float_ops,
-	FUNCTION 1 sparsevec_negative_inner_product(sparsevec, sparsevec),
-	FUNCTION 2 l2_norm(sparsevec),
-	FUNCTION 3 hnsw_sparsevec_support(internal);
-
-CREATE OPERATOR CLASS sparsevec_l1_ops
-	FOR TYPE sparsevec USING hnsw AS
-	OPERATOR 1 <+> (sparsevec, sparsevec) FOR ORDER BY float_ops,
-	FUNCTION 1 l1_distance(sparsevec, sparsevec),
-	FUNCTION 3 hnsw_sparsevec_support(internal);

src/bitutils.c

@@ -1,224 +0,0 @@
-#include "postgres.h"
-
-#include "bitutils.h"
-#include "halfvec.h"			/* for USE_DISPATCH and USE_TARGET_CLONES */
-#include "port/pg_bitutils.h"
-
-#if defined(USE_DISPATCH)
-#define BIT_DISPATCH
-#endif
-
-#ifdef BIT_DISPATCH
-#include <immintrin.h>
-
-#if defined(USE__GET_CPUID)
-#include <cpuid.h>
-#else
-#include <intrin.h>
-#endif
-
-#ifdef _MSC_VER
-#define TARGET_AVX512_POPCOUNT
-#else
-#define TARGET_AVX512_POPCOUNT __attribute__((target("avx512f,avx512vpopcntdq")))
-#endif
-#endif
-
-/* Disable for LLVM due to crash with bitcode generation */
-#if defined(USE_TARGET_CLONES) && !defined(__POPCNT__) && !defined(__llvm__)
-#define BIT_TARGET_CLONES __attribute__((target_clones("default", "popcnt")))
-#else
-#define BIT_TARGET_CLONES
-#endif
-
-/* Use built-ins when possible for Postgres < 19 for inlining */
-#if PG_VERSION_NUM >= 190000
-#define popcount64(x) pg_popcount64(x)
-#elif defined(HAVE__BUILTIN_POPCOUNT) && (defined(HAVE_LONG_INT_64) || SIZEOF_LONG == 8)
-#define popcount64(x) __builtin_popcountl(x)
-#elif defined(HAVE__BUILTIN_POPCOUNT) && (defined(HAVE_LONG_LONG_INT_64) || SIZEOF_LONG_LONG == 8)
-#define popcount64(x) __builtin_popcountll(x)
-#elif !defined(_MSC_VER)
-/* Fails to resolve with MSVC */
-#define popcount64(x) pg_popcount64(x)
-#endif
-
-uint64		(*BitHammingDistance) (uint32 bytes, unsigned char *ax, unsigned char *bx, uint64 distance);
-double		(*BitJaccardDistance) (uint32 bytes, unsigned char *ax, unsigned char *bx, uint64 ab, uint64 aa, uint64 bb);
-
-BIT_TARGET_CLONES static uint64
-BitHammingDistanceDefault(uint32 bytes, unsigned char *ax, unsigned char *bx, uint64 distance)
-{
-#ifdef popcount64
-	for (; bytes >= sizeof(uint64); bytes -= sizeof(uint64))
-	{
-		uint64		axs;
-		uint64		bxs;
-
-		/* Ensure aligned */
-		memcpy(&axs, ax, sizeof(uint64));
-		memcpy(&bxs, bx, sizeof(uint64));
-
-		distance += popcount64(axs ^ bxs);
-
-		ax += sizeof(uint64);
-		bx += sizeof(uint64);
-	}
-#endif
-
-	for (uint32 i = 0; i < bytes; i++)
-		distance += pg_number_of_ones[ax[i] ^ bx[i]];
-
-	return distance;
-}
-
-#ifdef BIT_DISPATCH
-TARGET_AVX512_POPCOUNT static uint64
-BitHammingDistanceAvx512Popcount(uint32 bytes, unsigned char *ax, unsigned char *bx, uint64 distance)
-{
-	__m512i		dist = _mm512_setzero_si512();
-
-	for (; bytes >= sizeof(__m512i); bytes -= sizeof(__m512i))
-	{
-		__m512i		axs = _mm512_loadu_si512((const __m512i *) ax);
-		__m512i		bxs = _mm512_loadu_si512((const __m512i *) bx);
-
-		dist = _mm512_add_epi64(dist, _mm512_popcnt_epi64(_mm512_xor_si512(axs, bxs)));
-
-		ax += sizeof(__m512i);
-		bx += sizeof(__m512i);
-	}
-
-	distance += _mm512_reduce_add_epi64(dist);
-
-	return BitHammingDistanceDefault(bytes, ax, bx, distance);
-}
-#endif
-
-BIT_TARGET_CLONES static double
-BitJaccardDistanceDefault(uint32 bytes, unsigned char *ax, unsigned char *bx, uint64 ab, uint64 aa, uint64 bb)
-{
-#ifdef popcount64
-	for (; bytes >= sizeof(uint64); bytes -= sizeof(uint64))
-	{
-		uint64		axs;
-		uint64		bxs;
-
-		/* Ensure aligned */
-		memcpy(&axs, ax, sizeof(uint64));
-		memcpy(&bxs, bx, sizeof(uint64));
-
-		ab += popcount64(axs & bxs);
-		aa += popcount64(axs);
-		bb += popcount64(bxs);
-
-		ax += sizeof(uint64);
-		bx += sizeof(uint64);
-	}
-#endif
-
-	for (uint32 i = 0; i < bytes; i++)
-	{
-		ab += pg_number_of_ones[ax[i] & bx[i]];
-		aa += pg_number_of_ones[ax[i]];
-		bb += pg_number_of_ones[bx[i]];
-	}
-
-	if (ab == 0)
-		return 1;
-	else
-		return 1 - (ab / ((double) (aa + bb - ab)));
-}
-
-#ifdef BIT_DISPATCH
-TARGET_AVX512_POPCOUNT static double
-BitJaccardDistanceAvx512Popcount(uint32 bytes, unsigned char *ax, unsigned char *bx, uint64 ab, uint64 aa, uint64 bb)
-{
-	__m512i		abx = _mm512_setzero_si512();
-	__m512i		aax = _mm512_setzero_si512();
-	__m512i		bbx = _mm512_setzero_si512();
-
-	for (; bytes >= sizeof(__m512i); bytes -= sizeof(__m512i))
-	{
-		__m512i		axs = _mm512_loadu_si512((const __m512i *) ax);
-		__m512i		bxs = _mm512_loadu_si512((const __m512i *) bx);
-
-		abx = _mm512_add_epi64(abx, _mm512_popcnt_epi64(_mm512_and_si512(axs, bxs)));
-		aax = _mm512_add_epi64(aax, _mm512_popcnt_epi64(axs));
-		bbx = _mm512_add_epi64(bbx, _mm512_popcnt_epi64(bxs));
-
-		ax += sizeof(__m512i);
-		bx += sizeof(__m512i);
-	}
-
-	ab += _mm512_reduce_add_epi64(abx);
-	aa += _mm512_reduce_add_epi64(aax);
-	bb += _mm512_reduce_add_epi64(bbx);
-
-	return BitJaccardDistanceDefault(bytes, ax, bx, ab, aa, bb);
-}
-#endif
-
-#ifdef BIT_DISPATCH
-#define CPU_FEATURE_OSXSAVE         (1 << 27)	/* F1 ECX */
-#define CPU_FEATURE_AVX512F         (1 << 16)	/* F7,0 EBX */
-#define CPU_FEATURE_AVX512VPOPCNTDQ (1 << 14)	/* F7,0 ECX */
-
-#ifdef _MSC_VER
-#define TARGET_XSAVE
-#else
-#define TARGET_XSAVE __attribute__((target("xsave")))
-#endif
-
-TARGET_XSAVE static bool
-SupportsAvx512Popcount(void)
-{
-	unsigned int exx[4] = {0, 0, 0, 0};
-
-#if defined(USE__GET_CPUID)
-	__get_cpuid(1, &exx[0], &exx[1], &exx[2], &exx[3]);
-#else
-	__cpuid(exx, 1);
-#endif
-
-	/* Check OS supports XSAVE */
-	if ((exx[2] & CPU_FEATURE_OSXSAVE) != CPU_FEATURE_OSXSAVE)
-		return false;
-
-	/* Check XMM, YMM, and ZMM registers are enabled */
-	if ((_xgetbv(0) & 0xe6) != 0xe6)
-		return false;
-
-#if defined(USE__GET_CPUID)
-	__get_cpuid_count(7, 0, &exx[0], &exx[1], &exx[2], &exx[3]);
-#else
-	__cpuidex(exx, 7, 0);
-#endif
-
-	/* Check AVX512F */
-	if ((exx[1] & CPU_FEATURE_AVX512F) != CPU_FEATURE_AVX512F)
-		return false;
-
-	/* Check AVX512VPOPCNTDQ */
-	return (exx[2] & CPU_FEATURE_AVX512VPOPCNTDQ) == CPU_FEATURE_AVX512VPOPCNTDQ;
-}
-#endif
-
-void
-BitvecInit(void)
-{
-	/*
-	 * Could skip pointer when single function, but no difference in
-	 * performance
-	 */
-	BitHammingDistance = BitHammingDistanceDefault;
-	BitJaccardDistance = BitJaccardDistanceDefault;
-
-#ifdef BIT_DISPATCH
-	if (SupportsAvx512Popcount())
-	{
-		BitHammingDistance = BitHammingDistanceAvx512Popcount;
-		BitJaccardDistance = BitJaccardDistanceAvx512Popcount;
-	}
-#endif
-}

src/bitutils.h

@@ -1,16 +0,0 @@
-#ifndef BITUTILS_H
-#define BITUTILS_H
-
-#include "postgres.h"
-
-/* Check version in first header */
-#if PG_VERSION_NUM < 130000
-#error "Requires PostgreSQL 13+"
-#endif
-
-extern uint64 (*BitHammingDistance) (uint32 bytes, unsigned char *ax, unsigned char *bx, uint64 distance);
-extern double (*BitJaccardDistance) (uint32 bytes, unsigned char *ax, unsigned char *bx, uint64 ab, uint64 aa, uint64 bb);
-
-void		BitvecInit(void);
-
-#endif

src/bitvec.c

@@ -1,70 +0,0 @@
-#include "postgres.h"
-
-#include "bitutils.h"
-#include "bitvec.h"
-#include "fmgr.h"
-#include "utils/varbit.h"
-#include "vector.h"
-
-#if PG_VERSION_NUM >= 160000
-#include "varatt.h"
-#endif
-
-/*
- * Allocate and initialize a new bit vector
- */
-VarBit *
-InitBitVector(int dim)
-{
-	VarBit	   *result;
-	int			size;
-
-	size = VARBITTOTALLEN(dim);
-	result = (VarBit *) palloc0(size);
-	SET_VARSIZE(result, size);
-	VARBITLEN(result) = dim;
-
-	return result;
-}
-
-/*
- * Ensure same dimensions
- */
-static inline void
-CheckDims(VarBit *a, VarBit *b)
-{
-	if (VARBITLEN(a) != VARBITLEN(b))
-		ereport(ERROR,
-				(errcode(ERRCODE_DATA_EXCEPTION),
-				 errmsg("different bit lengths %u and %u", VARBITLEN(a), VARBITLEN(b))));
-}
-
-/*
- * Get the Hamming distance between two bit vectors
- */
-FUNCTION_PREFIX PG_FUNCTION_INFO_V1(hamming_distance);
-Datum
-hamming_distance(PG_FUNCTION_ARGS)
-{
-	VarBit	   *a = PG_GETARG_VARBIT_P(0);
-	VarBit	   *b = PG_GETARG_VARBIT_P(1);
-
-	CheckDims(a, b);
-
-	PG_RETURN_FLOAT8((double) BitHammingDistance(VARBITBYTES(a), VARBITS(a), VARBITS(b), 0));
-}
-
-/*
- * Get the Jaccard distance between two bit vectors
- */
-FUNCTION_PREFIX PG_FUNCTION_INFO_V1(jaccard_distance);
-Datum
-jaccard_distance(PG_FUNCTION_ARGS)
-{
-	VarBit	   *a = PG_GETARG_VARBIT_P(0);
-	VarBit	   *b = PG_GETARG_VARBIT_P(1);
-
-	CheckDims(a, b);
-
-	PG_RETURN_FLOAT8(BitJaccardDistance(VARBITBYTES(a), VARBITS(a), VARBITS(b), 0, 0, 0));
-}

src/bitvec.h

@@ -1,8 +0,0 @@
-#ifndef BITVEC_H
-#define BITVEC_H
-
-#include "utils/varbit.h"
-
-VarBit	   *InitBitVector(int dim);
-
-#endif

src/halfutils.c

@@ -1,300 +0,0 @@
-#include "postgres.h"
-
-#include <math.h>
-
-#include "halfutils.h"
-#include "halfvec.h"
-
-#ifdef HALFVEC_DISPATCH
-#include <immintrin.h>
-
-#if defined(USE__GET_CPUID)
-#include <cpuid.h>
-#else
-#include <intrin.h>
-#endif
-
-#ifdef _MSC_VER
-#define TARGET_F16C
-#else
-#define TARGET_F16C __attribute__((target("avx,f16c,fma")))
-#endif
-#endif
-
-float		(*HalfvecL2SquaredDistance) (int dim, half * ax, half * bx);
-float		(*HalfvecInnerProduct) (int dim, half * ax, half * bx);
-double		(*HalfvecCosineSimilarity) (int dim, half * ax, half * bx);
-float		(*HalfvecL1Distance) (int dim, half * ax, half * bx);
-
-static float
-HalfvecL2SquaredDistanceDefault(int dim, half * ax, half * bx)
-{
-	float		distance = 0.0;
-
-	/* Auto-vectorized */
-	for (int i = 0; i < dim; i++)
-	{
-		float		diff = HalfToFloat4(ax[i]) - HalfToFloat4(bx[i]);
-
-		distance += diff * diff;
-	}
-
-	return distance;
-}
-
-#ifdef HALFVEC_DISPATCH
-TARGET_F16C static float
-HalfvecL2SquaredDistanceF16c(int dim, half * ax, half * bx)
-{
-	float		distance;
-	int			i;
-	float		s[8];
-	int			count = (dim / 8) * 8;
-	__m256		dist = _mm256_setzero_ps();
-
-	for (i = 0; i < count; i += 8)
-	{
-		__m128i		axi = _mm_loadu_si128((__m128i *) (ax + i));
-		__m128i		bxi = _mm_loadu_si128((__m128i *) (bx + i));
-		__m256		axs = _mm256_cvtph_ps(axi);
-		__m256		bxs = _mm256_cvtph_ps(bxi);
-		__m256		diff = _mm256_sub_ps(axs, bxs);
-
-		dist = _mm256_fmadd_ps(diff, diff, dist);
-	}
-
-	_mm256_storeu_ps(s, dist);
-
-	distance = s[0] + s[1] + s[2] + s[3] + s[4] + s[5] + s[6] + s[7];
-
-	for (; i < dim; i++)
-	{
-		float		diff = HalfToFloat4(ax[i]) - HalfToFloat4(bx[i]);
-
-		distance += diff * diff;
-	}
-
-	return distance;
-}
-#endif
-
-static float
-HalfvecInnerProductDefault(int dim, half * ax, half * bx)
-{
-	float		distance = 0.0;
-
-	/* Auto-vectorized */
-	for (int i = 0; i < dim; i++)
-		distance += HalfToFloat4(ax[i]) * HalfToFloat4(bx[i]);
-
-	return distance;
-}
-
-#ifdef HALFVEC_DISPATCH
-TARGET_F16C static float
-HalfvecInnerProductF16c(int dim, half * ax, half * bx)
-{
-	float		distance;
-	int			i;
-	float		s[8];
-	int			count = (dim / 8) * 8;
-	__m256		dist = _mm256_setzero_ps();
-
-	for (i = 0; i < count; i += 8)
-	{
-		__m128i		axi = _mm_loadu_si128((__m128i *) (ax + i));
-		__m128i		bxi = _mm_loadu_si128((__m128i *) (bx + i));
-		__m256		axs = _mm256_cvtph_ps(axi);
-		__m256		bxs = _mm256_cvtph_ps(bxi);
-
-		dist = _mm256_fmadd_ps(axs, bxs, dist);
-	}
-
-	_mm256_storeu_ps(s, dist);
-
-	distance = s[0] + s[1] + s[2] + s[3] + s[4] + s[5] + s[6] + s[7];
-
-	for (; i < dim; i++)
-		distance += HalfToFloat4(ax[i]) * HalfToFloat4(bx[i]);
-
-	return distance;
-}
-#endif
-
-static double
-HalfvecCosineSimilarityDefault(int dim, half * ax, half * bx)
-{
-	float		similarity = 0.0;
-	float		norma = 0.0;
-	float		normb = 0.0;
-
-	/* Auto-vectorized */
-	for (int i = 0; i < dim; i++)
-	{
-		float		axi = HalfToFloat4(ax[i]);
-		float		bxi = HalfToFloat4(bx[i]);
-
-		similarity += axi * bxi;
-		norma += axi * axi;
-		normb += bxi * bxi;
-	}
-
-	/* Use sqrt(a * b) over sqrt(a) * sqrt(b) */
-	return (double) similarity / sqrt((double) norma * (double) normb);
-}
-
-#ifdef HALFVEC_DISPATCH
-TARGET_F16C static double
-HalfvecCosineSimilarityF16c(int dim, half * ax, half * bx)
-{
-	float		similarity;
-	float		norma;
-	float		normb;
-	int			i;
-	float		s[8];
-	int			count = (dim / 8) * 8;
-	__m256		sim = _mm256_setzero_ps();
-	__m256		na = _mm256_setzero_ps();
-	__m256		nb = _mm256_setzero_ps();
-
-	for (i = 0; i < count; i += 8)
-	{
-		__m128i		axi = _mm_loadu_si128((__m128i *) (ax + i));
-		__m128i		bxi = _mm_loadu_si128((__m128i *) (bx + i));
-		__m256		axs = _mm256_cvtph_ps(axi);
-		__m256		bxs = _mm256_cvtph_ps(bxi);
-
-		sim = _mm256_fmadd_ps(axs, bxs, sim);
-		na = _mm256_fmadd_ps(axs, axs, na);
-		nb = _mm256_fmadd_ps(bxs, bxs, nb);
-	}
-
-	_mm256_storeu_ps(s, sim);
-	similarity = s[0] + s[1] + s[2] + s[3] + s[4] + s[5] + s[6] + s[7];
-
-	_mm256_storeu_ps(s, na);
-	norma = s[0] + s[1] + s[2] + s[3] + s[4] + s[5] + s[6] + s[7];
-
-	_mm256_storeu_ps(s, nb);
-	normb = s[0] + s[1] + s[2] + s[3] + s[4] + s[5] + s[6] + s[7];
-
-	/* Auto-vectorized */
-	for (; i < dim; i++)
-	{
-		float		axi = HalfToFloat4(ax[i]);
-		float		bxi = HalfToFloat4(bx[i]);
-
-		similarity += axi * bxi;
-		norma += axi * axi;
-		normb += bxi * bxi;
-	}
-
-	/* Use sqrt(a * b) over sqrt(a) * sqrt(b) */
-	return (double) similarity / sqrt((double) norma * (double) normb);
-}
-#endif
-
-static float
-HalfvecL1DistanceDefault(int dim, half * ax, half * bx)
-{
-	float		distance = 0.0;
-
-	/* Auto-vectorized */
-	for (int i = 0; i < dim; i++)
-		distance += fabsf(HalfToFloat4(ax[i]) - HalfToFloat4(bx[i]));
-
-	return distance;
-}
-
-#ifdef HALFVEC_DISPATCH
-/* Does not require FMA, but keep logic simple */
-TARGET_F16C static float
-HalfvecL1DistanceF16c(int dim, half * ax, half * bx)
-{
-	float		distance;
-	int			i;
-	float		s[8];
-	int			count = (dim / 8) * 8;
-	__m256		dist = _mm256_setzero_ps();
-	__m256		sign = _mm256_set1_ps(-0.0);
-
-	for (i = 0; i < count; i += 8)
-	{
-		__m128i		axi = _mm_loadu_si128((__m128i *) (ax + i));
-		__m128i		bxi = _mm_loadu_si128((__m128i *) (bx + i));
-		__m256		axs = _mm256_cvtph_ps(axi);
-		__m256		bxs = _mm256_cvtph_ps(bxi);
-
-		dist = _mm256_add_ps(dist, _mm256_andnot_ps(sign, _mm256_sub_ps(axs, bxs)));
-	}
-
-	_mm256_storeu_ps(s, dist);
-
-	distance = s[0] + s[1] + s[2] + s[3] + s[4] + s[5] + s[6] + s[7];
-
-	for (; i < dim; i++)
-		distance += fabsf(HalfToFloat4(ax[i]) - HalfToFloat4(bx[i]));
-
-	return distance;
-}
-#endif
-
-#ifdef HALFVEC_DISPATCH
-#define CPU_FEATURE_FMA     (1 << 12)
-#define CPU_FEATURE_OSXSAVE (1 << 27)
-#define CPU_FEATURE_AVX     (1 << 28)
-#define CPU_FEATURE_F16C    (1 << 29)
-
-#ifdef _MSC_VER
-#define TARGET_XSAVE
-#else
-#define TARGET_XSAVE __attribute__((target("xsave")))
-#endif
-
-TARGET_XSAVE static bool
-SupportsCpuFeature(unsigned int feature)
-{
-	unsigned int exx[4] = {0, 0, 0, 0};
-
-#if defined(USE__GET_CPUID)
-	__get_cpuid(1, &exx[0], &exx[1], &exx[2], &exx[3]);
-#else
-	__cpuid(exx, 1);
-#endif
-
-	/* Check OS supports XSAVE */
-	if ((exx[2] & CPU_FEATURE_OSXSAVE) != CPU_FEATURE_OSXSAVE)
-		return false;
-
-	/* Check XMM and YMM registers are enabled */
-	if ((_xgetbv(0) & 6) != 6)
-		return false;
-
-	/* Now check features */
-	return (exx[2] & feature) == feature;
-}
-#endif
-
-void
-HalfvecInit(void)
-{
-	/*
-	 * Could skip pointer when single function, but no difference in
-	 * performance
-	 */
-	HalfvecL2SquaredDistance = HalfvecL2SquaredDistanceDefault;
-	HalfvecInnerProduct = HalfvecInnerProductDefault;
-	HalfvecCosineSimilarity = HalfvecCosineSimilarityDefault;
-	HalfvecL1Distance = HalfvecL1DistanceDefault;
-
-#ifdef HALFVEC_DISPATCH
-	if (SupportsCpuFeature(CPU_FEATURE_AVX | CPU_FEATURE_F16C | CPU_FEATURE_FMA))
-	{
-		HalfvecL2SquaredDistance = HalfvecL2SquaredDistanceF16c;
-		HalfvecInnerProduct = HalfvecInnerProductF16c;
-		HalfvecCosineSimilarity = HalfvecCosineSimilarityF16c;
-		/* Does not require FMA, but keep logic simple */
-		HalfvecL1Distance = HalfvecL1DistanceF16c;
-	}
-#endif
-}

src/halfutils.h

@@ -1,263 +0,0 @@
-#ifndef HALFUTILS_H
-#define HALFUTILS_H
-
-#include <math.h>
-
-#include "common/shortest_dec.h"
-#include "halfvec.h"
-
-#ifdef F16C_SUPPORT
-#include <immintrin.h>
-#endif
-
-extern float (*HalfvecL2SquaredDistance) (int dim, half * ax, half * bx);
-extern float (*HalfvecInnerProduct) (int dim, half * ax, half * bx);
-extern double (*HalfvecCosineSimilarity) (int dim, half * ax, half * bx);
-extern float (*HalfvecL1Distance) (int dim, half * ax, half * bx);
-
-void		HalfvecInit(void);
-
-/*
- * Check if half is NaN
- */
-static inline bool
-HalfIsNan(half num)
-{
-#ifdef FLT16_SUPPORT
-	return isnan(num);
-#else
-	return (num & 0x7C00) == 0x7C00 && (num & 0x7FFF) != 0x7C00;
-#endif
-}
-
-/*
- * Check if half is infinite
- */
-static inline bool
-HalfIsInf(half num)
-{
-#ifdef FLT16_SUPPORT
-	return isinf(num);
-#else
-	return (num & 0x7FFF) == 0x7C00;
-#endif
-}
-
-/*
- * Check if half is zero
- */
-static inline bool
-HalfIsZero(half num)
-{
-#ifdef FLT16_SUPPORT
-	return num == 0;
-#else
-	return (num & 0x7FFF) == 0x0000;
-#endif
-}
-
-/*
- * Convert a half to a float4
- */
-static inline float
-HalfToFloat4(half num)
-{
-#if defined(F16C_SUPPORT)
-	return _cvtsh_ss(num);
-#elif defined(FLT16_SUPPORT)
-	return (float) num;
-#else
-	union
-	{
-		float		f;
-		uint32		i;
-	}			swapfloat;
-
-	union
-	{
-		half		h;
-		uint16		i;
-	}			swaphalf;
-
-	uint16		bin;
-	uint32		exponent;
-	uint32		mantissa;
-	uint32		result;
-
-	swaphalf.h = num;
-	bin = swaphalf.i;
-	exponent = (bin & 0x7C00) >> 10;
-	mantissa = bin & 0x03FF;
-
-	/* Sign */
-	result = (bin & 0x8000) << 16;
-
-	if (unlikely(exponent == 31))
-	{
-		if (mantissa == 0)
-		{
-			/* Infinite */
-			result |= 0x7F800000;
-		}
-		else
-		{
-			/* NaN */
-			result |= 0x7FC00000;
-		}
-	}
-	else if (unlikely(exponent == 0))
-	{
-		/* Subnormal */
-		if (mantissa != 0)
-		{
-			exponent = -14;
-
-			for (int i = 0; i < 10; i++)
-			{
-				mantissa <<= 1;
-				exponent -= 1;
-
-				if ((mantissa >> 10) % 2 == 1)
-				{
-					mantissa &= 0x03ff;
-					break;
-				}
-			}
-
-			result |= (exponent + 127) << 23;
-		}
-	}
-	else
-	{
-		/* Normal */
-		result |= (exponent - 15 + 127) << 23;
-	}
-
-	result |= mantissa << 13;
-
-	swapfloat.i = result;
-	return swapfloat.f;
-#endif
-}
-
-/*
- * Convert a float4 to a half
- */
-static inline half
-Float4ToHalfUnchecked(float num)
-{
-#if defined(F16C_SUPPORT)
-	return _cvtss_sh(num, 0);
-#elif defined(FLT16_SUPPORT)
-	return (_Float16) num;
-#else
-	union
-	{
-		float		f;
-		uint32		i;
-	}			swapfloat;
-
-	union
-	{
-		half		h;
-		uint16		i;
-	}			swaphalf;
-
-	uint32		bin;
-	int			exponent;
-	int			mantissa;
-	uint16		result;
-
-	swapfloat.f = num;
-	bin = swapfloat.i;
-	exponent = (bin & 0x7F800000) >> 23;
-	mantissa = bin & 0x007FFFFF;
-
-	/* Sign */
-	result = (bin & 0x80000000) >> 16;
-
-	if (isinf(num))
-	{
-		/* Infinite */
-		result |= 0x7C00;
-	}
-	else if (isnan(num))
-	{
-		/* NaN */
-		result |= 0x7E00;
-		result |= mantissa >> 13;
-	}
-	else if (exponent > 98)
-	{
-		int			m;
-		int			gr;
-		int			s;
-
-		exponent -= 127;
-		s = mantissa & 0x00000FFF;
-
-		/* Subnormal */
-		if (exponent < -14)
-		{
-			int			diff = -exponent - 14;
-
-			mantissa >>= diff;
-			mantissa += 1 << (23 - diff);
-			s |= mantissa & 0x00000FFF;
-		}
-
-		m = mantissa >> 13;
-
-		/* Round */
-		gr = (mantissa >> 12) % 4;
-		if (gr == 3 || (gr == 1 && s != 0))
-			m += 1;
-
-		if (m == 1024)
-		{
-			m = 0;
-			exponent += 1;
-		}
-
-		if (exponent > 15)
-		{
-			/* Infinite */
-			result |= 0x7C00;
-		}
-		else
-		{
-			if (exponent >= -14)
-				result |= (exponent + 15) << 10;
-
-			result |= m;
-		}
-	}
-
-	swaphalf.i = result;
-	return swaphalf.h;
-#endif
-}
-
-/*
- * Convert a float4 to a half
- */
-static inline half
-Float4ToHalf(float num)
-{
-	half		result = Float4ToHalfUnchecked(num);
-
-	if (unlikely(HalfIsInf(result)) && !isinf(num))
-	{
-		char	   *buf = palloc(FLOAT_SHORTEST_DECIMAL_LEN);
-
-		float_to_shortest_decimal_buf(num, buf);
-
-		ereport(ERROR,
-				(errcode(ERRCODE_NUMERIC_VALUE_OUT_OF_RANGE),
-				 errmsg("\"%s\" is out of range for type halfvec", buf)));
-	}
-
-	return result;
-}
-
-#endif

src/halfvec.h

@@ -1,70 +0,0 @@
-#ifndef HALFVEC_H
-#define HALFVEC_H
-
-#define __STDC_WANT_IEC_60559_TYPES_EXT__
-
-#include <float.h>
-
-/* We use two types of dispatching: intrinsics and target_clones */
-/* TODO Move to better place */
-#ifndef DISABLE_DISPATCH
-/* Only enable for more recent compilers to keep build process simple */
-#if defined(__x86_64__) && defined(__GNUC__) && __GNUC__ >= 9
-#define USE_DISPATCH
-#elif defined(__x86_64__) && defined(__clang_major__) && __clang_major__ >= 7
-#define USE_DISPATCH
-#elif defined(_M_AMD64) && defined(_MSC_VER) && _MSC_VER >= 1920
-#define USE_DISPATCH
-#endif
-#endif
-
-/* target_clones requires glibc */
-#if defined(USE_DISPATCH) && defined(__gnu_linux__) && defined(__has_attribute)
-/* Use separate line for portability */
-#if __has_attribute(target_clones)
-#define USE_TARGET_CLONES
-#endif
-#endif
-
-/* Apple clang check needed for universal binaries on Mac */
-#if defined(USE_DISPATCH) && (defined(HAVE__GET_CPUID) || defined(__apple_build_version__))
-#define USE__GET_CPUID
-#endif
-
-#if defined(USE_DISPATCH)
-#define HALFVEC_DISPATCH
-#endif
-
-/* F16C has better performance than _Float16 (on x86-64) */
-#if defined(__F16C__)
-#define F16C_SUPPORT
-#elif defined(__FLT16_MAX__) && !defined(HALFVEC_DISPATCH) && !defined(__FreeBSD__) && (!defined(__i386__) || defined(__SSE2__))
-#define FLT16_SUPPORT
-#endif
-
-#ifdef FLT16_SUPPORT
-#define half _Float16
-#define HALF_MAX FLT16_MAX
-#else
-#define half uint16
-#define HALF_MAX 65504
-#endif
-
-#define HALFVEC_MAX_DIM 16000
-
-#define HALFVEC_SIZE(_dim)		(offsetof(HalfVector, x) + sizeof(half)*(_dim))
-#define DatumGetHalfVector(x)	((HalfVector *) PG_DETOAST_DATUM(x))
-#define PG_GETARG_HALFVEC_P(x)	DatumGetHalfVector(PG_GETARG_DATUM(x))
-#define PG_RETURN_HALFVEC_P(x)	PG_RETURN_POINTER(x)
-
-typedef struct HalfVector
-{
-	int32		vl_len_;		/* varlena header (do not touch directly!) */
-	int16		dim;			/* number of dimensions */
-	int16		unused;			/* reserved for future use, always zero */
-	half		x[FLEXIBLE_ARRAY_MEMBER];
-}			HalfVector;
-
-HalfVector *InitHalfVector(int dim);
-
-#endif

src/hnsw.c

@@ -1,119 +1,50 @@
 #include "postgres.h"
 
 #include <float.h>
-#include <limits.h>
 #include <math.h>
 
 #include "access/amapi.h"
-#include "access/genam.h"
-#include "access/reloptions.h"
-#include "commands/progress.h"
 #include "commands/vacuum.h"
-#include "fmgr.h"
 #include "hnsw.h"
-#include "miscadmin.h"
-#include "nodes/pg_list.h"
-#include "storage/lwlock.h"
-#include "utils/float.h"
 #include "utils/guc.h"
-#include "utils/relcache.h"
 #include "utils/selfuncs.h"
-#include "utils/spccache.h"
-#include "vector.h"
 
-#if PG_VERSION_NUM < 150000
+#if PG_VERSION_NUM >= 120000
-#define MarkGUCPrefixReserved(x) EmitWarningsOnPlaceholders(x)
+#include "commands/progress.h"
 #endif
 
-static const struct config_enum_entry hnsw_iterative_scan_options[] = {
-	{"off", HNSW_ITERATIVE_SCAN_OFF, false},
-	{"relaxed_order", HNSW_ITERATIVE_SCAN_RELAXED, false},
-	{"strict_order", HNSW_ITERATIVE_SCAN_STRICT, false},
-	{NULL, 0, false}
-};
-
 int			hnsw_ef_search;
-int			hnsw_iterative_scan;
-int			hnsw_max_scan_tuples;
-double		hnsw_scan_mem_multiplier;
-int			hnsw_lock_tranche_id;
 static relopt_kind hnsw_relopt_kind;
 
-/*
- * Assign a tranche ID for our LWLocks. This only needs to be done by one
- * backend, as the tranche ID is remembered in shared memory.
- *
- * This shared memory area is very small, so we just allocate it from the
- * "slop" that PostgreSQL reserves for small allocations like this. If
- * this grows bigger, we should use a shmem_request_hook and
- * RequestAddinShmemSpace() to pre-reserve space for this.
- */
-void
-HnswInitLockTranche(void)
-{
-	int		   *tranche_ids;
-	bool		found;
-
-	LWLockAcquire(AddinShmemInitLock, LW_EXCLUSIVE);
-	tranche_ids = ShmemInitStruct("hnsw LWLock ids",
-								  sizeof(int) * 1,
-								  &found);
-	if (!found)
-	{
-#if PG_VERSION_NUM >= 190000
-		tranche_ids[0] = LWLockNewTrancheId("HnswBuild");
-#else
-		tranche_ids[0] = LWLockNewTrancheId();
-#endif
-	}
-	hnsw_lock_tranche_id = tranche_ids[0];
-	LWLockRelease(AddinShmemInitLock);
-
-#if PG_VERSION_NUM < 190000
-	/* Per-backend registration of the tranche ID */
-	LWLockRegisterTranche(hnsw_lock_tranche_id, "HnswBuild");
-#endif
-}
-
 /*
  * Initialize index options and variables
  */
 void
 HnswInit(void)
 {
-	if (!process_shared_preload_libraries_in_progress)
-		HnswInitLockTranche();
-
 	hnsw_relopt_kind = add_reloption_kind();
 	add_int_reloption(hnsw_relopt_kind, "m", "Max number of connections",
-					  HNSW_DEFAULT_M, HNSW_MIN_M, HNSW_MAX_M, AccessExclusiveLock);
+					  HNSW_DEFAULT_M, HNSW_MIN_M, HNSW_MAX_M
+#if PG_VERSION_NUM >= 130000
+					  ,AccessExclusiveLock
+#endif
+		);
 	add_int_reloption(hnsw_relopt_kind, "ef_construction", "Size of the dynamic candidate list for construction",
-					  HNSW_DEFAULT_EF_CONSTRUCTION, HNSW_MIN_EF_CONSTRUCTION, HNSW_MAX_EF_CONSTRUCTION, AccessExclusiveLock);
+					  HNSW_DEFAULT_EF_CONSTRUCTION, HNSW_MIN_EF_CONSTRUCTION, HNSW_MAX_EF_CONSTRUCTION
+#if PG_VERSION_NUM >= 130000
+					  ,AccessExclusiveLock
+#endif
+		);
 
 	DefineCustomIntVariable("hnsw.ef_search", "Sets the size of the dynamic candidate list for search",
 							"Valid range is 1..1000.", &hnsw_ef_search,
 							HNSW_DEFAULT_EF_SEARCH, HNSW_MIN_EF_SEARCH, HNSW_MAX_EF_SEARCH, PGC_USERSET, 0, NULL, NULL, NULL);
-
-	DefineCustomEnumVariable("hnsw.iterative_scan", "Sets the mode for iterative scans",
-							 NULL, &hnsw_iterative_scan,
-							 HNSW_ITERATIVE_SCAN_OFF, hnsw_iterative_scan_options, PGC_USERSET, 0, NULL, NULL, NULL);
-
-	/* This is approximate and does not affect the initial scan */
-	DefineCustomIntVariable("hnsw.max_scan_tuples", "Sets the max number of tuples to visit for iterative scans",
-							NULL, &hnsw_max_scan_tuples,
-							20000, 1, INT_MAX, PGC_USERSET, 0, NULL, NULL, NULL);
-
-	/* Same range as hash_mem_multiplier */
-	DefineCustomRealVariable("hnsw.scan_mem_multiplier", "Sets the multiple of work_mem to use for iterative scans",
-							 NULL, &hnsw_scan_mem_multiplier,
-							 1, 1, 1000, PGC_USERSET, 0, NULL, NULL, NULL);
-
-	MarkGUCPrefixReserved("hnsw");
 }
 
 /*
  * Get the name of index build phase
  */
+#if PG_VERSION_NUM >= 120000
 static char *
 hnswbuildphasename(int64 phasenum)
 {
@@ -127,6 +58,7 @@ hnswbuildphasename(int64 phasenum)
 			return NULL;
 	}
 }
+#endif
 
 /*
  * Estimate the cost of an index scan
@@ -139,93 +71,45 @@ hnswcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
 {
 	GenericCosts costs;
 	int			m;
-	double		ratio;
+	int			entryLevel;
-	double		startupPages;
-	double		spc_seq_page_cost;
 	Relation	index;
+#if PG_VERSION_NUM < 120000
+	List	   *qinfos;
+#endif
 
 	/* Never use index without order */
-	if (path->indexorderbys == NIL)
+	if (path->indexorderbys == NULL)
 	{
-		*indexStartupCost = get_float8_infinity();
+		*indexStartupCost = DBL_MAX;
-		*indexTotalCost = get_float8_infinity();
+		*indexTotalCost = DBL_MAX;
 		*indexSelectivity = 0;
 		*indexCorrelation = 0;
 		*indexPages = 0;
-#if PG_VERSION_NUM >= 180000
-		/* See "On disable_cost" thread on pgsql-hackers */
-		path->path.disabled_nodes = 2;
-#endif
 		return;
 	}
 
 	MemSet(&costs, 0, sizeof(costs));
 
-	genericcostestimate(root, path, loop_count, &costs);
-
 	index = index_open(path->indexinfo->indexoid, NoLock);
 	HnswGetMetaPageInfo(index, &m, NULL);
 	index_close(index, NoLock);
 
-	/*
+	/* Approximate entry level */
-	 * HNSW cost estimation follows a formula that accounts for the total
+	entryLevel = (int) -log(1.0 / path->indexinfo->tuples) * HnswGetMl(m);
-	 * number of tuples indexed combined with the parameters that most
-	 * influence the duration of the index scan, namely: m - the number of
-	 * tuples that are scanned in each step of the HNSW graph traversal
-	 * ef_search - which influences the total number of steps taken at layer 0
-	 *
-	 * The source of the vector data can impact how many steps it takes to
-	 * converge on the set of vectors to return to the executor. Currently, we
-	 * use a hardcoded scaling factor (HNSWScanScalingFactor) to help
-	 * influence that, but this could later become a configurable parameter
-	 * based on the cost estimations.
-	 *
-	 * The tuple estimator formula is below:
-	 *
-	 * numIndexTuples = entryLevel * m + layer0TuplesMax * layer0Selectivity
-	 *
-	 * "entryLevel * m" represents the floor of tuples we need to scan to get
-	 * to layer 0 (L0).
-	 *
-	 * "layer0TuplesMax" is the estimated total number of tuples we'd scan at
-	 * L0 if we weren't discarding already visited tuples as part of the scan.
-	 *
-	 * "layer0Selectivity" estimates the percentage of tuples that are scanned
-	 * at L0, accounting for previously visited tuples, multiplied by the
-	 * "scalingFactor" (currently hardcoded).
-	 */
-	if (path->indexinfo->tuples > 0)
-	{
-		double		scalingFactor = 0.55;
-		int			entryLevel = (int) (log(path->indexinfo->tuples) * HnswGetMl(m));
-		int			layer0TuplesMax = HnswGetLayerM(m, 0) * hnsw_ef_search;
-		double		layer0Selectivity = scalingFactor * log(path->indexinfo->tuples) / (log(m) * (1 + log(hnsw_ef_search)));
 
-		ratio = (entryLevel * m + layer0TuplesMax * layer0Selectivity) / path->indexinfo->tuples;
+	/* TODO Improve estimate of visited tuples (currently underestimates) */
+	/* Account for number of tuples (or entry level), m, and ef_search */
+	costs.numIndexTuples = (entryLevel + 2) * m;
 
-		if (ratio > 1)
+#if PG_VERSION_NUM >= 120000
-			ratio = 1;
+	genericcostestimate(root, path, loop_count, &costs);
-	}
+#else
-	else
+	qinfos = deconstruct_indexquals(path);
-		ratio = 1;
+	genericcostestimate(root, path, loop_count, qinfos, &costs);
+#endif
 
-	get_tablespace_page_costs(path->indexinfo->reltablespace, NULL, &spc_seq_page_cost);
+	/* Use total cost since most work happens before first tuple is returned */
-
+	*indexStartupCost = costs.indexTotalCost;
-	/* Startup cost is cost before returning the first row */
-	costs.indexStartupCost = costs.indexTotalCost * ratio;
-
-	/* Adjust cost if needed since TOAST not included in seq scan cost */
-	startupPages = costs.numIndexPages * ratio;
-	if (startupPages > path->indexinfo->rel->pages && ratio < 0.5)
-	{
-		/* Change all page cost from random to sequential */
-		costs.indexStartupCost -= startupPages * (costs.spc_random_page_cost - spc_seq_page_cost);
-
-		/* Remove cost of extra pages */
-		costs.indexStartupCost -= (startupPages - path->indexinfo->rel->pages) * spc_seq_page_cost;
-	}
-
-	*indexStartupCost = costs.indexStartupCost;
 	*indexTotalCost = costs.indexTotalCost;
 	*indexSelectivity = costs.indexSelectivity;
 	*indexCorrelation = costs.indexCorrelation;
@@ -243,10 +127,23 @@ hnswoptions(Datum reloptions, bool validate)
 		{"ef_construction", RELOPT_TYPE_INT, offsetof(HnswOptions, efConstruction)},
 	};
 
+#if PG_VERSION_NUM >= 130000
 	return (bytea *) build_reloptions(reloptions, validate,
 									  hnsw_relopt_kind,
 									  sizeof(HnswOptions),
 									  tab, lengthof(tab));
+#else
+	relopt_value *options;
+	int			numoptions;
+	HnswOptions *rdopts;
+
+	options = parseRelOptions(reloptions, validate, hnsw_relopt_kind, &numoptions);
+	rdopts = allocateReloptStruct(sizeof(HnswOptions), options, numoptions);
+	fillRelOptions((void *) rdopts, sizeof(HnswOptions), options, numoptions,
+				   validate, tab, lengthof(tab));
+
+	return (bytea *) rdopts;
+#endif
 }
 
 /*
@@ -263,83 +160,22 @@ hnswvalidate(Oid opclassoid)
  *
  * See https://www.postgresql.org/docs/current/index-api.html
  */
-FUNCTION_PREFIX PG_FUNCTION_INFO_V1(hnswhandler);
+PGDLLEXPORT PG_FUNCTION_INFO_V1(hnswhandler);
 Datum
 hnswhandler(PG_FUNCTION_ARGS)
 {
-#if PG_VERSION_NUM >= 190000
-	static const IndexAmRoutine amroutine = {
-		.type = T_IndexAmRoutine,
-		.amstrategies = 0,
-		.amsupport = 3,
-		.amoptsprocnum = 0,
-		.amcanorder = false,
-		.amcanorderbyop = true,
-		.amcanhash = false,
-		.amconsistentequality = false,
-		.amconsistentordering = false,
-		.amcanbackward = false,
-		.amcanunique = false,
-		.amcanmulticol = false,
-		.amoptionalkey = true,
-		.amsearcharray = false,
-		.amsearchnulls = false,
-		.amstorage = false,
-		.amclusterable = false,
-		.ampredlocks = false,
-		.amcanparallel = false,
-		.amcanbuildparallel = true,
-		.amcaninclude = false,
-		.amusemaintenanceworkmem = false,
-		.amsummarizing = false,
-		.amparallelvacuumoptions = VACUUM_OPTION_PARALLEL_BULKDEL,
-		.amkeytype = InvalidOid,
-
-		.ambuild = hnswbuild,
-		.ambuildempty = hnswbuildempty,
-		.aminsert = hnswinsert,
-		.aminsertcleanup = NULL,
-		.ambulkdelete = hnswbulkdelete,
-		.amvacuumcleanup = hnswvacuumcleanup,
-		.amcanreturn = NULL,
-		.amcostestimate = hnswcostestimate,
-		.amgettreeheight = NULL,
-		.amoptions = hnswoptions,
-		.amproperty = NULL,
-		.ambuildphasename = hnswbuildphasename,
-		.amvalidate = hnswvalidate,
-		.amadjustmembers = NULL,
-		.ambeginscan = hnswbeginscan,
-		.amrescan = hnswrescan,
-		.amgettuple = hnswgettuple,
-		.amgetbitmap = NULL,
-		.amendscan = hnswendscan,
-		.ammarkpos = NULL,
-		.amrestrpos = NULL,
-		.amestimateparallelscan = NULL,
-		.aminitparallelscan = NULL,
-		.amparallelrescan = NULL,
-		.amtranslatestrategy = NULL,
-		.amtranslatecmptype = NULL,
-	};
-
-	PG_RETURN_POINTER(&amroutine);
-#else
 	IndexAmRoutine *amroutine = makeNode(IndexAmRoutine);
 
 	amroutine->amstrategies = 0;
 	amroutine->amsupport = 3;
+#if PG_VERSION_NUM >= 130000
 	amroutine->amoptsprocnum = 0;
+#endif
 	amroutine->amcanorder = false;
 	amroutine->amcanorderbyop = true;
-#if PG_VERSION_NUM >= 180000
-	amroutine->amcanhash = false;
-	amroutine->amconsistentequality = false;
-	amroutine->amconsistentordering = false;
-#endif
 	amroutine->amcanbackward = false;	/* can change direction mid-scan */
 	amroutine->amcanunique = false;
-	amroutine->amcanmulticol = false;
+	amroutine->amcanmulticol = true;
 	amroutine->amoptionalkey = true;
 	amroutine->amsearcharray = false;
 	amroutine->amsearchnulls = false;
@@ -347,34 +183,26 @@ hnswhandler(PG_FUNCTION_ARGS)
 	amroutine->amclusterable = false;
 	amroutine->ampredlocks = false;
 	amroutine->amcanparallel = false;
-#if PG_VERSION_NUM >= 170000
-	amroutine->amcanbuildparallel = true;
-#endif
 	amroutine->amcaninclude = false;
+#if PG_VERSION_NUM >= 130000
 	amroutine->amusemaintenanceworkmem = false; /* not used during VACUUM */
-#if PG_VERSION_NUM >= 160000
-	amroutine->amsummarizing = false;
-#endif
 	amroutine->amparallelvacuumoptions = VACUUM_OPTION_PARALLEL_BULKDEL;
+#endif
 	amroutine->amkeytype = InvalidOid;
 
 	/* Interface functions */
 	amroutine->ambuild = hnswbuild;
 	amroutine->ambuildempty = hnswbuildempty;
 	amroutine->aminsert = hnswinsert;
-#if PG_VERSION_NUM >= 170000
-	amroutine->aminsertcleanup = NULL;
-#endif
 	amroutine->ambulkdelete = hnswbulkdelete;
 	amroutine->amvacuumcleanup = hnswvacuumcleanup;
 	amroutine->amcanreturn = NULL;
 	amroutine->amcostestimate = hnswcostestimate;
-#if PG_VERSION_NUM >= 180000
-	amroutine->amgettreeheight = NULL;
-#endif
 	amroutine->amoptions = hnswoptions;
 	amroutine->amproperty = NULL;	/* TODO AMPROP_DISTANCE_ORDERABLE */
+#if PG_VERSION_NUM >= 120000
 	amroutine->ambuildphasename = hnswbuildphasename;
+#endif
 	amroutine->amvalidate = hnswvalidate;
 #if PG_VERSION_NUM >= 140000
 	amroutine->amadjustmembers = NULL;
@@ -392,11 +220,33 @@ hnswhandler(PG_FUNCTION_ARGS)
 	amroutine->aminitparallelscan = NULL;
 	amroutine->amparallelrescan = NULL;
 
-#if PG_VERSION_NUM >= 180000
-	amroutine->amtranslatestrategy = NULL;
-	amroutine->amtranslatecmptype = NULL;
-#endif
-
 	PG_RETURN_POINTER(amroutine);
-#endif
+}
+
+/*
+ * Get the distance between two int4 attributes
+ */
+PGDLLEXPORT PG_FUNCTION_INFO_V1(hnsw_int4_attribute_distance);
+Datum
+hnsw_int4_attribute_distance(PG_FUNCTION_ARGS)
+{
+	int32		a = PG_GETARG_INT32(0);
+	int32		b = PG_GETARG_INT32(1);
+	double		distance = ((double) a) - ((double) b);
+
+	PG_RETURN_FLOAT8(distance);
+}
+
+/*
+ * Get the distance between two int8 attributes
+ */
+PGDLLEXPORT PG_FUNCTION_INFO_V1(hnsw_int8_attribute_distance);
+Datum
+hnsw_int8_attribute_distance(PG_FUNCTION_ARGS)
+{
+	int64		a = PG_GETARG_INT64(0);
+	int64		b = PG_GETARG_INT64(1);
+	double		distance = ((double) a) - ((double) b);
+
+	PG_RETURN_FLOAT8(distance);
 }

src/hnsw.h

@@ -3,36 +3,23 @@
 
 #include "postgres.h"
 
-#include <math.h>
+#include "access/generic_xlog.h"
-
+#include "access/reloptions.h"
-#include "access/genam.h"
-#include "access/parallel.h"
-#include "lib/pairingheap.h"
 #include "nodes/execnodes.h"
 #include "port.h"				/* for random() */
-#include "storage/bufpage.h"
-#include "storage/condition_variable.h"
-#include "storage/lwlock.h"
-#include "storage/s_lock.h"
-#include "utils/relptr.h"
 #include "utils/sampling.h"
 #include "vector.h"
 
-#ifdef HNSW_BENCH
+#if PG_VERSION_NUM < 110000
-#include "portability/instr_time.h"
+#error "Requires PostgreSQL 11+"
-#endif
-
-#if PG_VERSION_NUM >= 190000
-typedef Pointer Item;
 #endif
 
 #define HNSW_MAX_DIM 2000
-#define HNSW_MAX_NNZ 1000
 
 /* Support functions */
 #define HNSW_DISTANCE_PROC 1
 #define HNSW_NORM_PROC 2
-#define HNSW_TYPE_INFO_PROC 3
+#define HNSW_ATTRIBUTE_DISTANCE_PROC 3
 
 #define HNSW_VERSION	1
 #define HNSW_MAGIC_NUMBER 0xA953A953
@@ -72,37 +59,22 @@ typedef Pointer Item;
 #define PROGRESS_HNSW_PHASE_LOAD		2
 
 #define HNSW_MAX_SIZE (BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(HnswPageOpaqueData)) - sizeof(ItemIdData))
-#define HNSW_TUPLE_ALLOC_SIZE BLCKSZ
 
 #define HNSW_ELEMENT_TUPLE_SIZE(size)	MAXALIGN(offsetof(HnswElementTupleData, data) + (size))
 #define HNSW_NEIGHBOR_TUPLE_SIZE(level, m)	MAXALIGN(offsetof(HnswNeighborTupleData, indextids) + ((level) + 2) * (m) * sizeof(ItemPointerData))
 
-#define HNSW_NEIGHBOR_ARRAY_SIZE(lm)	(offsetof(HnswNeighborArray, items) + sizeof(HnswCandidate) * (lm))
-
 #define HnswPageGetOpaque(page)	((HnswPageOpaque) PageGetSpecialPointer(page))
 #define HnswPageGetMeta(page)	((HnswMetaPageData *) PageGetContents(page))
 
-#ifdef HNSW_BENCH
-#define HnswBench(name, code) \
-	do { \
-		instr_time	start; \
-		instr_time	duration; \
-		INSTR_TIME_SET_CURRENT(start); \
-		(code); \
-		INSTR_TIME_SET_CURRENT(duration); \
-		INSTR_TIME_SUBTRACT(duration, start); \
-		elog(INFO, "%s: %.3f ms", name, INSTR_TIME_GET_MILLISEC(duration)); \
-	} while (0)
-#else
-#define HnswBench(name, code) (code)
-#endif
-
 #if PG_VERSION_NUM >= 150000
 #define RandomDouble() pg_prng_double(&pg_global_prng_state)
-#define SeedRandom(seed) pg_prng_seed(&pg_global_prng_state, seed)
 #else
 #define RandomDouble() (((double) random()) / MAX_RANDOM_VALUE)
-#define SeedRandom(seed) srandom(seed)
+#endif
+
+#if PG_VERSION_NUM < 130000
+#define list_delete_last(list) list_truncate(list, list_length(list) - 1)
+#define list_sort(list, cmp) list_qsort(list, cmp)
 #endif
 
 #define HnswIsElementTuple(tup) ((tup)->type == HNSW_ELEMENT_TUPLE_TYPE)
@@ -115,96 +87,48 @@ typedef Pointer Item;
 #define HnswGetMl(m) (1 / log(m))
 
 /* Ensure fits on page and in uint8 */
-#define HnswGetMaxLevel(m) Min(((BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(HnswPageOpaqueData)) - offsetof(HnswNeighborTupleData, indextids) - sizeof(ItemIdData)) / (sizeof(ItemPointerData)) / (m)) - 2, 255)
+#define HnswGetMaxLevel(m) Min(((BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(HnswPageOpaqueData)) - offsetof(HnswNeighborTupleData, indextids) - sizeof(ItemIdData)) / (sizeof(ItemPointerData)) / m) - 2, 255)
-
-#define HnswGetSearchCandidate(membername, ptr) pairingheap_container(HnswSearchCandidate, membername, ptr)
-#define HnswGetSearchCandidateConst(membername, ptr) pairingheap_const_container(HnswSearchCandidate, membername, ptr)
-
-#define HnswGetValue(base, element) PointerGetDatum(HnswPtrAccess(base, (element)->value))
-
-#if PG_VERSION_NUM < 140005
-#define relptr_offset(rp) ((rp).relptr_off - 1)
-#endif
-
-/* Pointer macros */
-#define HnswPtrAccess(base, hp) ((base) == NULL ? (hp).ptr : relptr_access(base, (hp).relptr))
-#define HnswPtrStore(base, hp, value) ((base) == NULL ? (void) ((hp).ptr = (value)) : (void) relptr_store(base, (hp).relptr, value))
-#define HnswPtrIsNull(base, hp) ((base) == NULL ? (hp).ptr == NULL : relptr_is_null((hp).relptr))
-#define HnswPtrEqual(base, hp1, hp2) ((base) == NULL ? (hp1).ptr == (hp2).ptr : relptr_offset((hp1).relptr) == relptr_offset((hp2).relptr))
-
-/* For code paths dedicated to each type */
-#define HnswPtrPointer(hp) (hp).ptr
-#define HnswPtrOffset(hp) relptr_offset((hp).relptr)
 
 /* Variables */
 extern int	hnsw_ef_search;
-extern int	hnsw_iterative_scan;
-extern int	hnsw_max_scan_tuples;
-extern double hnsw_scan_mem_multiplier;
-extern int	hnsw_lock_tranche_id;
 
-typedef enum HnswIterativeScanMode
-{
-	HNSW_ITERATIVE_SCAN_OFF,
-	HNSW_ITERATIVE_SCAN_RELAXED,
-	HNSW_ITERATIVE_SCAN_STRICT
-}			HnswIterativeScanMode;
-
-typedef struct HnswElementData HnswElementData;
 typedef struct HnswNeighborArray HnswNeighborArray;
 
-#define HnswPtrDeclare(type, relptrtype, ptrtype) \
+typedef struct HnswElementData
-	relptr_declare(type, relptrtype); \
-	typedef union { type *ptr; relptrtype relptr; } ptrtype
-
-/* Pointers that can be absolute or relative */
-/* Use char for DatumPtr so works with Pointer */
-HnswPtrDeclare(HnswElementData, HnswElementRelptr, HnswElementPtr);
-HnswPtrDeclare(HnswNeighborArray, HnswNeighborArrayRelptr, HnswNeighborArrayPtr);
-HnswPtrDeclare(HnswNeighborArrayPtr, HnswNeighborsRelptr, HnswNeighborsPtr);
-HnswPtrDeclare(char, DatumRelptr, DatumPtr);
-
-struct HnswElementData
 {
-	HnswElementPtr next;
+	List	   *heaptids;
-	ItemPointerData heaptids[HNSW_HEAPTIDS];
-	uint8		heaptidsLength;
 	uint8		level;
 	uint8		deleted;
-	uint8		version;
+	HnswNeighborArray *neighbors;
-	uint32		hash;
-	HnswNeighborsPtr neighbors;
 	BlockNumber blkno;
 	OffsetNumber offno;
 	OffsetNumber neighborOffno;
 	BlockNumber neighborPage;
-	DatumPtr	value;
+	Datum		value;
-	LWLock		lock;
+	IndexTuple	itup;
-};
+}			HnswElementData;
 
 typedef HnswElementData * HnswElement;
 
 typedef struct HnswCandidate
 {
-	HnswElementPtr element;
+	HnswElement element;
 	float		distance;
 	bool		closer;
 }			HnswCandidate;
 
-struct HnswNeighborArray
+typedef struct HnswNeighborArray
 {
 	int			length;
 	bool		closerSet;
-	HnswCandidate items[FLEXIBLE_ARRAY_MEMBER];
+	HnswCandidate *items;
-};
+}			HnswNeighborArray;
 
-typedef struct HnswSearchCandidate
+typedef struct HnswPairingHeapNode
 {
-	pairingheap_node c_node;
+	pairingheap_node ph_node;
-	pairingheap_node w_node;
+	HnswCandidate *inner;
-	HnswElementPtr element;
+}			HnswPairingHeapNode;
-	double		distance;
-}			HnswSearchCandidate;
 
 /* HNSW index options */
 typedef struct HnswOptions
@@ -214,84 +138,6 @@ typedef struct HnswOptions
 	int			efConstruction; /* size of dynamic candidate list */
 }			HnswOptions;
 
-typedef struct HnswGraph
-{
-	/* Graph state */
-	slock_t		lock;
-	HnswElementPtr head;
-	double		indtuples;
-
-	/* Entry state */
-	LWLock		entryLock;
-	LWLock		entryWaitLock;
-	HnswElementPtr entryPoint;
-
-	/* Allocations state */
-	LWLock		allocatorLock;
-	Size		memoryUsed;
-	Size		memoryTotal;
-
-	/* Flushed state */
-	LWLock		flushLock;
-	bool		flushed;
-}			HnswGraph;
-
-typedef struct HnswShared
-{
-	/* Immutable state */
-	Oid			heaprelid;
-	Oid			indexrelid;
-	bool		isconcurrent;
-
-	/* Worker progress */
-	ConditionVariable workersdonecv;
-
-	/* Mutex for mutable state */
-	slock_t		mutex;
-
-	/* Mutable state */
-	int			nparticipantsdone;
-	double		reltuples;
-	HnswGraph	graphData;
-}			HnswShared;
-
-#define ParallelTableScanFromHnswShared(shared) \
-	(ParallelTableScanDesc) ((char *) (shared) + BUFFERALIGN(sizeof(HnswShared)))
-
-typedef struct HnswLeader
-{
-	ParallelContext *pcxt;
-	int			nparticipanttuplesorts;
-	HnswShared *hnswshared;
-	Snapshot	snapshot;
-	char	   *hnswarea;
-}			HnswLeader;
-
-typedef struct HnswAllocator
-{
-	void	   *(*alloc) (Size size, void *state);
-	void	   *state;
-}			HnswAllocator;
-
-typedef struct HnswTypeInfo
-{
-	int			maxDimensions;
-	Datum		(*normalize) (PG_FUNCTION_ARGS);
-	void		(*checkValue) (Pointer v);
-}			HnswTypeInfo;
-
-typedef struct HnswSupport
-{
-	FmgrInfo   *procinfo;
-	FmgrInfo   *normprocinfo;
-	Oid			collation;
-}			HnswSupport;
-
-typedef struct HnswQuery
-{
-	Datum		value;
-}			HnswQuery;
-
 typedef struct HnswBuildState
 {
 	/* Info */
@@ -299,7 +145,6 @@ typedef struct HnswBuildState
 	Relation	index;
 	IndexInfo  *indexInfo;
 	ForkNumber	forkNum;
-	const		HnswTypeInfo *typeInfo;
 
 	/* Settings */
 	int			dimensions;
@@ -311,23 +156,22 @@ typedef struct HnswBuildState
 	double		reltuples;
 
 	/* Support functions */
-	HnswSupport support;
+	FmgrInfo  **procinfos;
+	FmgrInfo   *normprocinfo;
+	Oid		   *collations;
 
 	/* Variables */
-	HnswGraph	graphData;
+	List	   *elements;
-	HnswGraph  *graph;
+	HnswElement entryPoint;
 	double		ml;
 	int			maxLevel;
+	long		memoryLeft;
+	bool		flushed;
+	bool		useIndexTuple;
+	Vector	   *normvec;
 
 	/* Memory */
-	MemoryContext graphCtx;
 	MemoryContext tmpCtx;
-	HnswAllocator allocator;
-
-	/* Parallel builds */
-	HnswLeader *hnswleader;
-	HnswShared *hnswshared;
-	char	   *hnswarea;
 }			HnswBuildState;
 
 typedef struct HnswMetaPageData
@@ -359,10 +203,10 @@ typedef struct HnswElementTupleData
 	uint8		type;
 	uint8		level;
 	uint8		deleted;
-	uint8		version;
+	uint8		unused;
 	ItemPointerData heaptids[HNSW_HEAPTIDS];
 	ItemPointerData neighbortid;
-	uint16		unused;
+	uint16		unused2;
 	Vector		data;
 }			HnswElementTupleData;
 
@@ -371,42 +215,23 @@ typedef HnswElementTupleData * HnswElementTuple;
 typedef struct HnswNeighborTupleData
 {
 	uint8		type;
-	uint8		version;
+	uint8		unused;
 	uint16		count;
 	ItemPointerData indextids[FLEXIBLE_ARRAY_MEMBER];
 }			HnswNeighborTupleData;
 
 typedef HnswNeighborTupleData * HnswNeighborTuple;
 
-typedef union
-{
-	struct pointerhash_hash *pointers;
-	struct offsethash_hash *offsets;
-	struct tidhash_hash *tids;
-}			visited_hash;
-
-typedef union
-{
-	HnswElement element;
-	ItemPointerData indextid;
-}			HnswUnvisited;
-
 typedef struct HnswScanOpaqueData
 {
-	const		HnswTypeInfo *typeInfo;
 	bool		first;
 	List	   *w;
-	visited_hash v;
-	pairingheap *discarded;
-	HnswQuery	q;
-	int			m;
-	int64		tuples;
-	double		previousDistance;
-	Size		maxMemory;
 	MemoryContext tmpCtx;
 
 	/* Support functions */
-	HnswSupport support;
+	FmgrInfo  **procinfos;
+	FmgrInfo   *normprocinfo;
+	Oid		   *collations;
 }			HnswScanOpaqueData;
 
 typedef HnswScanOpaqueData * HnswScanOpaque;
@@ -424,14 +249,14 @@ typedef struct HnswVacuumState
 	int			efConstruction;
 
 	/* Support functions */
-	HnswSupport support;
+	FmgrInfo  **procinfos;
+	Oid		   *collations;
 
 	/* Variables */
-	struct tidhash_hash *deleting;
+	HTAB	   *deleted;
 	BufferAccessStrategy bas;
 	HnswNeighborTuple ntup;
 	HnswElementData highestPoint;
-	HnswElementData fallbackPoint;
 
 	/* Memory */
 	MemoryContext tmpCtx;
@@ -441,36 +266,33 @@ typedef struct HnswVacuumState
 int			HnswGetM(Relation index);
 int			HnswGetEfConstruction(Relation index);
 FmgrInfo   *HnswOptionalProcInfo(Relation index, uint16 procnum);
-void		HnswInitSupport(HnswSupport * support, Relation index);
+bool		HnswNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result);
-Datum		HnswNormValue(const HnswTypeInfo * typeInfo, Oid collation, Datum value);
+void		HnswCommitBuffer(Buffer buf, GenericXLogState *state);
-bool		HnswCheckNorm(HnswSupport * support, Datum value);
 Buffer		HnswNewBuffer(Relation index, ForkNumber forkNum);
 void		HnswInitPage(Buffer buf, Page page);
+void		HnswInitRegisterPage(Relation index, Buffer *buf, Page *page, GenericXLogState **state);
 void		HnswInit(void);
-List	   *HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation index, HnswSupport * support, int m, bool inserting, HnswElement skipElement, visited_hash * v, pairingheap **discarded, bool initVisited, int64 *tuples);
+List	   *HnswSearchLayer(Datum q, IndexTuple qtup, ScanKeyData *keyData, List *ep, int ef, int lc, Relation index, FmgrInfo **procinfos, Oid *collations, int m, bool loadVec, HnswElement skipElement, bool inMemory);
 HnswElement HnswGetEntryPoint(Relation index);
 void		HnswGetMetaPageInfo(Relation index, int *m, HnswElement * entryPoint);
-void	   *HnswAlloc(HnswAllocator * allocator, Size size);
+HnswElement HnswInitElement(ItemPointer tid, int m, double ml, int maxLevel);
-HnswElement HnswInitElement(char *base, ItemPointer tid, int m, double ml, int maxLevel, HnswAllocator * alloc);
+void		HnswFreeElement(HnswElement element);
 HnswElement HnswInitElementFromBlock(BlockNumber blkno, OffsetNumber offno);
-void		HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint, Relation index, HnswSupport * support, int m, int efConstruction, bool existing);
+void		HnswInsertElement(HnswElement element, HnswElement entryPoint, Relation index, FmgrInfo **procinfos, Oid *collations, int m, int efConstruction, bool existing, bool inMemory);
-HnswSearchCandidate *HnswEntryCandidate(char *base, HnswElement entryPoint, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec);
+HnswElement HnswFindDuplicate(HnswElement e, Relation index);
-void		HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum, bool building);
+HnswCandidate *HnswEntryCandidate(HnswElement em, Datum q, IndexTuple qtup, ScanKeyData *keyData, Relation rel, FmgrInfo **procinfos, Oid *collations, bool loadVec, bool inMemory);
-void		HnswSetNeighborTuple(char *base, HnswNeighborTuple ntup, HnswElement e, int m);
+void		HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum);
+void		HnswSetNeighborTuple(HnswNeighborTuple ntup, HnswElement e, int m);
 void		HnswAddHeapTid(HnswElement element, ItemPointer heaptid);
-HnswNeighborArray *HnswInitNeighborArray(int lm, HnswAllocator * allocator);
+void		HnswInitNeighbors(HnswElement element, int m);
-void		HnswInitNeighbors(char *base, HnswElement element, int m, HnswAllocator * alloc);
+bool		HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel);
-bool		HnswInsertTupleOnDisk(Relation index, HnswSupport * support, Datum value, ItemPointer heaptid, bool building);
+void		HnswUpdateNeighborPages(Relation index, FmgrInfo **procinfos, Oid *collations, HnswElement e, int m, bool checkExisting);
-void		HnswUpdateNeighborsOnDisk(Relation index, HnswSupport * support, HnswElement e, int m, bool checkExisting, bool building);
+void		HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHeaptids, bool loadVec, Relation index);
-void		HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHeaptids, bool loadVec);
+void		HnswLoadElement(HnswElement element, float *distance, Datum *q, IndexTuple qtup, ScanKeyData *keyData, Relation index, FmgrInfo **procinfos, Oid *collations, bool loadVec);
-void		HnswLoadElement(HnswElement element, double *distance, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance);
+void		HnswSetElementTuple(HnswElementTuple etup, HnswElement element, bool useIndexTuple);
-bool		HnswFormIndexValue(Datum *out, Datum *values, bool *isnull, const HnswTypeInfo * typeInfo, HnswSupport * support);
+void		HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int *updateIdx, Relation index, FmgrInfo **procinfos, Oid *collations, bool inMemory);
-void		HnswSetElementTuple(char *base, HnswElementTuple etup, HnswElement element);
+void		HnswLoadNeighbors(HnswElement element, Relation index, int m);
-void		HnswUpdateConnection(char *base, HnswNeighborArray * neighbors, HnswElement newElement, float distance, int lm, int *updateIdx, Relation index, HnswSupport * support);
+void		HnswElementSetData(HnswElement element, Relation index, Datum value, Datum *values, bool *isnull);
-bool		HnswLoadNeighborTids(HnswElement element, ItemPointerData *indextids, Relation index, int m, int lm, int lc);
-void		HnswInitLockTranche(void);
-const		HnswTypeInfo *HnswGetTypeInfo(Relation index);
-PGDLLEXPORT void HnswParallelBuildMain(dsm_segment *seg, shm_toc *toc);
 
 /* Index access methods */
 IndexBuildResult *hnswbuild(Relation heap, Relation index, IndexInfo *indexInfo);
@@ -487,55 +309,6 @@ IndexScanDesc hnswbeginscan(Relation index, int nkeys, int norderbys);
 void		hnswrescan(IndexScanDesc scan, ScanKey keys, int nkeys, ScanKey orderbys, int norderbys);
 bool		hnswgettuple(IndexScanDesc scan, ScanDirection dir);
 void		hnswendscan(IndexScanDesc scan);
-
+FmgrInfo  **HnswInitProcinfos(Relation index);
-static inline HnswNeighborArray *
-HnswGetNeighbors(char *base, HnswElement element, int lc)
-{
-	HnswNeighborArrayPtr *neighborList = HnswPtrAccess(base, element->neighbors);
-
-	Assert(element->level >= lc);
-
-	return HnswPtrAccess(base, neighborList[lc]);
-}
-
-/* Hash tables */
-typedef struct TidHashEntry
-{
-	ItemPointerData tid;
-	char		status;
-}			TidHashEntry;
-
-#define SH_PREFIX tidhash
-#define SH_ELEMENT_TYPE TidHashEntry
-#define SH_KEY_TYPE ItemPointerData
-#define SH_SCOPE extern
-#define SH_DECLARE
-#include "lib/simplehash.h"
-
-typedef struct PointerHashEntry
-{
-	uintptr_t	ptr;
-	char		status;
-}			PointerHashEntry;
-
-#define SH_PREFIX pointerhash
-#define SH_ELEMENT_TYPE PointerHashEntry
-#define SH_KEY_TYPE uintptr_t
-#define SH_SCOPE extern
-#define SH_DECLARE
-#include "lib/simplehash.h"
-
-typedef struct OffsetHashEntry
-{
-	Size		offset;
-	char		status;
-}			OffsetHashEntry;
-
-#define SH_PREFIX offsethash
-#define SH_ELEMENT_TYPE OffsetHashEntry
-#define SH_KEY_TYPE Size
-#define SH_SCOPE extern
-#define SH_DECLARE
-#include "lib/simplehash.h"
 
 #endif

src/hnswinsert.c

@@ -1,19 +1,11 @@
 #include "postgres.h"
 
-#include "access/genam.h"
+#include <math.h>
-#include "access/generic_xlog.h"
+
 #include "hnsw.h"
-#include "nodes/execnodes.h"
 #include "storage/bufmgr.h"
 #include "storage/lmgr.h"
-#include "storage/lwlock.h"
-#include "utils/datum.h"
 #include "utils/memutils.h"
-#include "utils/rel.h"
-
-#if PG_VERSION_NUM >= 160000
-#include "varatt.h"
-#endif
 
 /*
  * Get the insert page
@@ -42,15 +34,14 @@ GetInsertPage(Relation index)
  * Check for a free offset
  */
 static bool
-HnswFreeOffset(Relation index, Buffer buf, Page page, HnswElement element, Size etupSize, Size ntupSize, Buffer *nbuf, Page *npage, OffsetNumber *freeOffno, OffsetNumber *freeNeighborOffno, BlockNumber *newInsertPage, uint8 *tupleVersion)
+HnswFreeOffset(Relation index, Buffer buf, Page page, HnswElement element, Size ntupSize, Buffer *nbuf, Page *npage, OffsetNumber *freeOffno, OffsetNumber *freeNeighborOffno, BlockNumber *newInsertPage)
 {
 	OffsetNumber offno;
 	OffsetNumber maxoffno = PageGetMaxOffsetNumber(page);
 
 	for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
 	{
-		ItemId		eitemid = PageGetItemId(page, offno);
+		HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, PageGetItemId(page, offno));
-		HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, eitemid);
 
 		/* Skip neighbor tuples */
 		if (!HnswIsElementTuple(etup))
@@ -61,9 +52,7 @@ HnswFreeOffset(Relation index, Buffer buf, Page page, HnswElement element, Size
 			BlockNumber elementPage = BufferGetBlockNumber(buf);
 			BlockNumber neighborPage = ItemPointerGetBlockNumber(&etup->neighbortid);
 			OffsetNumber neighborOffno = ItemPointerGetOffsetNumber(&etup->neighbortid);
-			ItemId		nitemid;
+			ItemId		itemid;
-			Size		pageFree;
-			Size		npageFree;
 
 			if (!BlockNumberIsValid(*newInsertPage))
 				*newInsertPage = elementPage;
@@ -82,29 +71,13 @@ HnswFreeOffset(Relation index, Buffer buf, Page page, HnswElement element, Size
 				*npage = BufferGetPage(*nbuf);
 			}
 
-			nitemid = PageGetItemId(*npage, neighborOffno);
+			itemid = PageGetItemId(*npage, neighborOffno);
 
-			/* Ensure aligned for space check */
+			/* Check for space on neighbor tuple page */
-			Assert(etupSize == MAXALIGN(etupSize));
+			if (PageGetFreeSpace(*npage) + ItemIdGetLength(itemid) - sizeof(ItemIdData) >= ntupSize)
-			Assert(ntupSize == MAXALIGN(ntupSize));
-
-			/*
-			 * Calculate free space individually since tuples are overwritten
-			 * individually (in separate calls to PageIndexTupleOverwrite)
-			 */
-			pageFree = ItemIdGetLength(eitemid) + PageGetExactFreeSpace(page);
-			npageFree = ItemIdGetLength(nitemid);
-			if (neighborPage != elementPage)
-				npageFree += PageGetExactFreeSpace(*npage);
-			else if (pageFree >= etupSize)
-				npageFree += pageFree - etupSize;
-
-			/* Check for space */
-			if (pageFree >= etupSize && npageFree >= ntupSize)
 			{
 				*freeOffno = offno;
 				*freeNeighborOffno = neighborOffno;
-				*tupleVersion = etup->version;
 				return true;
 			}
 			else if (*nbuf != buf)
@@ -119,7 +92,7 @@ HnswFreeOffset(Relation index, Buffer buf, Page page, HnswElement element, Size
  * Add a new page
  */
 static void
-HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState *state, Page page, bool building)
+HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState *state, Page page)
 {
 	/* Add a new page */
 	LockRelationForExtension(index, ExclusiveLock);
@@ -127,11 +100,7 @@ HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState
 	UnlockRelationForExtension(index, ExclusiveLock);
 
 	/* Init new page */
-	if (building)
+	*npage = GenericXLogRegisterBuffer(state, *nbuf, GENERIC_XLOG_FULL_IMAGE);
-		*npage = BufferGetPage(*nbuf);
-	else
-		*npage = GenericXLogRegisterBuffer(state, *nbuf, GENERIC_XLOG_FULL_IMAGE);
-
 	HnswInitPage(*nbuf, *npage);
 
 	/* Update previous buffer */
@@ -142,7 +111,7 @@ HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState
  * Add to element and neighbor pages
  */
 static void
-AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, BlockNumber *updatedInsertPage, bool building)
+WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPage, BlockNumber *updatedInsertPage)
 {
 	Buffer		buf;
 	Page		page;
@@ -160,11 +129,10 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
 	OffsetNumber freeOffno = InvalidOffsetNumber;
 	OffsetNumber freeNeighborOffno = InvalidOffsetNumber;
 	BlockNumber newInsertPage = InvalidBlockNumber;
-	uint8		tupleVersion;
+	bool		useIndexTuple = IndexRelationGetNumberOfAttributes(index) > 1;
-	char	   *base = NULL;
 
 	/* Calculate sizes */
-	etupSize = HNSW_ELEMENT_TUPLE_SIZE(VARSIZE_ANY(HnswPtrAccess(base, e->value)));
+	etupSize = HNSW_ELEMENT_TUPLE_SIZE(useIndexTuple ? IndexTupleSize(e->itup) : VARSIZE_ANY(DatumGetPointer(e->value)));
 	ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(e->level, m);
 	combinedSize = etupSize + ntupSize + sizeof(ItemIdData);
 	maxSize = HNSW_MAX_SIZE;
@@ -172,11 +140,11 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
 
 	/* Prepare element tuple */
 	etup = palloc0(etupSize);
-	HnswSetElementTuple(base, etup, e);
+	HnswSetElementTuple(etup, e, useIndexTuple);
 
 	/* Prepare neighbor tuple */
 	ntup = palloc0(ntupSize);
-	HnswSetNeighborTuple(base, ntup, e, m);
+	HnswSetNeighborTuple(ntup, e, m);
 
 	/* Find a page (or two if needed) to insert the tuples */
 	for (;;)
@@ -184,16 +152,8 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
 		buf = ReadBuffer(index, currentPage);
 		LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
 
-		if (building)
+		state = GenericXLogStart(index);
-		{
+		page = GenericXLogRegisterBuffer(state, buf, 0);
-			state = NULL;
-			page = BufferGetPage(buf);
-		}
-		else
-		{
-			state = GenericXLogStart(index);
-			page = GenericXLogRegisterBuffer(state, buf, 0);
-		}
 
 		/* Keep track of first page where element at level 0 can fit */
 		if (!BlockNumberIsValid(newInsertPage) && PageGetFreeSpace(page) >= minCombinedSize)
@@ -210,19 +170,10 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
 		}
 
 		/* Next, try space from a deleted element */
-		if (HnswFreeOffset(index, buf, page, e, etupSize, ntupSize, &nbuf, &npage, &freeOffno, &freeNeighborOffno, &newInsertPage, &tupleVersion))
+		if (HnswFreeOffset(index, buf, page, e, ntupSize, &nbuf, &npage, &freeOffno, &freeNeighborOffno, &newInsertPage))
 		{
 			if (nbuf != buf)
-			{
+				npage = GenericXLogRegisterBuffer(state, nbuf, 0);
-				if (building)
-					npage = BufferGetPage(nbuf);
-				else
-					npage = GenericXLogRegisterBuffer(state, nbuf, 0);
-			}
-
-			/* Set tuple version */
-			etup->version = tupleVersion;
-			ntup->version = tupleVersion;
 
 			break;
 		}
@@ -231,7 +182,7 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
 		/* Skip if both tuples can fit on the same page */
 		if (combinedSize > maxSize && PageGetFreeSpace(page) >= etupSize && !BlockNumberIsValid(HnswPageGetOpaque(page)->nextblkno))
 		{
-			HnswInsertAppendPage(index, &nbuf, &npage, state, page, building);
+			HnswInsertAppendPage(index, &nbuf, &npage, state, page);
 			break;
 		}
 
@@ -240,8 +191,7 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
 		if (BlockNumberIsValid(currentPage))
 		{
 			/* Move to next page */
-			if (!building)
+			GenericXLogAbort(state);
-				GenericXLogAbort(state);
 			UnlockReleaseBuffer(buf);
 		}
 		else
@@ -249,33 +199,22 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
 			Buffer		newbuf;
 			Page		newpage;
 
-			HnswInsertAppendPage(index, &newbuf, &newpage, state, page, building);
+			HnswInsertAppendPage(index, &newbuf, &newpage, state, page);
 
 			/* Commit */
-			if (building)
+			GenericXLogFinish(state);
-				MarkBufferDirty(buf);
-			else
-				GenericXLogFinish(state);
 
 			/* Unlock previous buffer */
 			UnlockReleaseBuffer(buf);
 
 			/* Prepare new buffer */
+			state = GenericXLogStart(index);
 			buf = newbuf;
-			if (building)
+			page = GenericXLogRegisterBuffer(state, buf, 0);
-			{
-				state = NULL;
-				page = BufferGetPage(buf);
-			}
-			else
-			{
-				state = GenericXLogStart(index);
-				page = GenericXLogRegisterBuffer(state, buf, 0);
-			}
 
 			/* Create new page for neighbors if needed */
 			if (PageGetFreeSpace(page) < combinedSize)
-				HnswInsertAppendPage(index, &nbuf, &npage, state, page, building);
+				HnswInsertAppendPage(index, &nbuf, &npage, state, page);
 			else
 			{
 				nbuf = buf;
@@ -329,14 +268,7 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
 	}
 
 	/* Commit */
-	if (building)
+	GenericXLogFinish(state);
-	{
-		MarkBufferDirty(buf);
-		if (nbuf != buf)
-			MarkBufferDirty(nbuf);
-	}
-	else
-		GenericXLogFinish(state);
 	UnlockReleaseBuffer(buf);
 	if (nbuf != buf)
 		UnlockReleaseBuffer(nbuf);
@@ -346,107 +278,6 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
 		*updatedInsertPage = newInsertPage;
 }
 
-/*
- * Load neighbors
- */
-static HnswNeighborArray *
-HnswLoadNeighbors(HnswElement element, Relation index, int m, int lm, int lc)
-{
-	char	   *base = NULL;
-	HnswNeighborArray *neighbors = HnswInitNeighborArray(lm, NULL);
-	ItemPointerData indextids[HNSW_MAX_M * 2];
-
-	if (!HnswLoadNeighborTids(element, indextids, index, m, lm, lc))
-		return neighbors;
-
-	for (int i = 0; i < lm; i++)
-	{
-		ItemPointer indextid = &indextids[i];
-		HnswElement e;
-		HnswCandidate *hc;
-
-		if (!ItemPointerIsValid(indextid))
-			break;
-
-		e = HnswInitElementFromBlock(ItemPointerGetBlockNumber(indextid), ItemPointerGetOffsetNumber(indextid));
-		hc = &neighbors->items[neighbors->length++];
-		HnswPtrStore(base, hc->element, e);
-	}
-
-	return neighbors;
-}
-
-/*
- * Load elements for insert
- */
-static void
-LoadElementsForInsert(HnswNeighborArray * neighbors, HnswQuery * q, int *idx, Relation index, HnswSupport * support)
-{
-	char	   *base = NULL;
-
-	for (int i = 0; i < neighbors->length; i++)
-	{
-		HnswCandidate *hc = &neighbors->items[i];
-		HnswElement element = HnswPtrAccess(base, hc->element);
-		double		distance;
-
-		HnswLoadElement(element, &distance, q, index, support, true, NULL);
-		hc->distance = distance;
-
-		/* Prune element if being deleted */
-		if (element->heaptidsLength == 0)
-		{
-			*idx = i;
-			break;
-		}
-	}
-}
-
-/*
- * Get update index
- */
-static int
-GetUpdateIndex(HnswElement element, HnswElement newElement, float distance, int m, int lm, int lc, Relation index, HnswSupport * support, MemoryContext updateCtx)
-{
-	char	   *base = NULL;
-	int			idx = -1;
-	HnswNeighborArray *neighbors;
-	MemoryContext oldCtx = MemoryContextSwitchTo(updateCtx);
-
-	/*
-	 * Get latest neighbors since they may have changed. Do not lock yet since
-	 * selecting neighbors can take time. Could use optimistic locking to
-	 * retry if another update occurs before getting exclusive lock.
-	 */
-	neighbors = HnswLoadNeighbors(element, index, m, lm, lc);
-
-	/*
-	 * Could improve performance for vacuuming by checking neighbors against
-	 * list of elements being deleted to find index. It's important to exclude
-	 * already deleted elements for this since they can be replaced at any
-	 * time.
-	 */
-
-	if (neighbors->length < lm)
-		idx = -2;
-	else
-	{
-		HnswQuery	q;
-
-		q.value = HnswGetValue(base, element);
-
-		LoadElementsForInsert(neighbors, &q, &idx, index, support);
-
-		if (idx == -1)
-			HnswUpdateConnection(base, neighbors, newElement, distance, lm, &idx, index, support);
-	}
-
-	MemoryContextSwitchTo(oldCtx);
-	MemoryContextReset(updateCtx);
-
-	return idx;
-}
-
 /*
  * Check if connection already exists
  */
@@ -467,146 +298,128 @@ ConnectionExists(HnswElement e, HnswNeighborTuple ntup, int startIdx, int lm)
 	return false;
 }
 
-/*
- * Update neighbor
- */
-static void
-UpdateNeighborOnDisk(HnswElement element, HnswElement newElement, int idx, int m, int lm, int lc, Relation index, bool checkExisting, bool building)
-{
-	Buffer		buf;
-	Page		page;
-	GenericXLogState *state;
-	HnswNeighborTuple ntup;
-	int			startIdx;
-	OffsetNumber offno = element->neighborOffno;
-
-	/* Register page */
-	buf = ReadBuffer(index, element->neighborPage);
-	LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
-	if (building)
-	{
-		state = NULL;
-		page = BufferGetPage(buf);
-	}
-	else
-	{
-		state = GenericXLogStart(index);
-		page = GenericXLogRegisterBuffer(state, buf, 0);
-	}
-
-	/* Get tuple */
-	ntup = (HnswNeighborTuple) PageGetItem(page, PageGetItemId(page, offno));
-
-	/* Calculate index for update */
-	startIdx = (element->level - lc) * m;
-
-	/* Check for existing connection */
-	if (checkExisting && ConnectionExists(newElement, ntup, startIdx, lm))
-		idx = -1;
-	else if (idx == -2)
-	{
-		/* Find free offset if still exists */
-		/* TODO Retry updating connections if not */
-		for (int j = 0; j < lm; j++)
-		{
-			if (!ItemPointerIsValid(&ntup->indextids[startIdx + j]))
-			{
-				idx = startIdx + j;
-				break;
-			}
-		}
-	}
-	else
-		idx += startIdx;
-
-	/* Make robust to issues */
-	if (idx >= 0 && idx < ntup->count)
-	{
-		ItemPointer indextid = &ntup->indextids[idx];
-
-		/* Update neighbor on the buffer */
-		ItemPointerSet(indextid, newElement->blkno, newElement->offno);
-
-		/* Commit */
-		if (building)
-			MarkBufferDirty(buf);
-		else
-			GenericXLogFinish(state);
-	}
-	else if (!building)
-		GenericXLogAbort(state);
-
-	UnlockReleaseBuffer(buf);
-}
-
 /*
  * Update neighbors
  */
 void
-HnswUpdateNeighborsOnDisk(Relation index, HnswSupport * support, HnswElement e, int m, bool checkExisting, bool building)
+HnswUpdateNeighborPages(Relation index, FmgrInfo **procinfos, Oid *collations, HnswElement e, int m, bool checkExisting)
 {
-	char	   *base = NULL;
-
-	/* Use separate memory context to improve performance for larger vectors */
-	MemoryContext updateCtx = GenerationContextCreate(CurrentMemoryContext,
-													  "Hnsw insert update context",
-#if PG_VERSION_NUM >= 150000
-													  128 * 1024, 128 * 1024,
-#endif
-													  128 * 1024);
-
 	for (int lc = e->level; lc >= 0; lc--)
 	{
 		int			lm = HnswGetLayerM(m, lc);
-		HnswNeighborArray *neighbors = HnswGetNeighbors(base, e, lc);
+		HnswNeighborArray *neighbors = &e->neighbors[lc];
 
 		for (int i = 0; i < neighbors->length; i++)
 		{
 			HnswCandidate *hc = &neighbors->items[i];
-			HnswElement neighborElement = HnswPtrAccess(base, hc->element);
+			Buffer		buf;
-			int			idx;
+			Page		page;
+			GenericXLogState *state;
+			ItemId		itemid;
+			HnswNeighborTuple ntup;
+			Size		ntupSize;
+			int			idx = -1;
+			int			startIdx;
+			OffsetNumber offno = hc->element->neighborOffno;
 
-			idx = GetUpdateIndex(neighborElement, e, hc->distance, m, lm, lc, index, support, updateCtx);
+			/* Get latest neighbors since they may have changed */
+			/* Do not lock yet since selecting neighbors can take time */
+			HnswLoadNeighbors(hc->element, index, m);
+
+			/*
+			 * Could improve performance for vacuuming by checking neighbors
+			 * against list of elements being deleted to find index. It's
+			 * important to exclude already deleted elements for this since
+			 * they can be replaced at any time.
+			 */
+
+			/* Select neighbors */
+			HnswUpdateConnection(e, hc, lm, lc, &idx, index, procinfos, collations, false);
 
 			/* New element was not selected as a neighbor */
 			if (idx == -1)
 				continue;
 
-			UpdateNeighborOnDisk(neighborElement, e, idx, m, lm, lc, index, checkExisting, building);
+			/* Register page */
+			buf = ReadBuffer(index, hc->element->neighborPage);
+			LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
+			state = GenericXLogStart(index);
+			page = GenericXLogRegisterBuffer(state, buf, 0);
+
+			/* Get tuple */
+			itemid = PageGetItemId(page, offno);
+			ntup = (HnswNeighborTuple) PageGetItem(page, itemid);
+			ntupSize = ItemIdGetLength(itemid);
+
+			/* Calculate index for update */
+			startIdx = (hc->element->level - lc) * m;
+
+			/* Check for existing connection */
+			if (checkExisting && ConnectionExists(e, ntup, startIdx, lm))
+				idx = -1;
+			else if (idx == -2)
+			{
+				/* Find free offset if still exists */
+				/* TODO Retry updating connections if not */
+				for (int j = 0; j < lm; j++)
+				{
+					if (!ItemPointerIsValid(&ntup->indextids[startIdx + j]))
+					{
+						idx = startIdx + j;
+						break;
+					}
+				}
+			}
+			else
+				idx += startIdx;
+
+			/* Make robust to issues */
+			if (idx >= 0 && idx < ntup->count)
+			{
+				ItemPointer indextid = &ntup->indextids[idx];
+
+				/* Update neighbor */
+				ItemPointerSet(indextid, e->blkno, e->offno);
+
+				/* Overwrite tuple */
+				if (!PageIndexTupleOverwrite(page, offno, (Item) ntup, ntupSize))
+					elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
+
+				/* Commit */
+				GenericXLogFinish(state);
+			}
+			else
+				GenericXLogAbort(state);
+
+			UnlockReleaseBuffer(buf);
 		}
 	}
-
-	MemoryContextDelete(updateCtx);
 }
 
 /*
  * Add a heap TID to an existing element
  */
 static bool
-AddDuplicateOnDisk(Relation index, HnswElement element, HnswElement dup, bool building)
+HnswAddDuplicate(Relation index, HnswElement element, HnswElement dup)
 {
 	Buffer		buf;
 	Page		page;
 	GenericXLogState *state;
+	ItemId		itemid;
 	HnswElementTuple etup;
+	Size		etupSize;
 	int			i;
 
 	/* Read page */
 	buf = ReadBuffer(index, dup->blkno);
 	LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
-	if (building)
+	state = GenericXLogStart(index);
-	{
+	page = GenericXLogRegisterBuffer(state, buf, 0);
-		state = NULL;
-		page = BufferGetPage(buf);
-	}
-	else
-	{
-		state = GenericXLogStart(index);
-		page = GenericXLogRegisterBuffer(state, buf, 0);
-	}
 
 	/* Find space */
-	etup = (HnswElementTuple) PageGetItem(page, PageGetItemId(page, dup->offno));
+	itemid = PageGetItemId(page, dup->offno);
+	etup = (HnswElementTuple) PageGetItem(page, itemid);
+	etupSize = ItemIdGetLength(itemid);
 	for (i = 0; i < HNSW_HEAPTIDS; i++)
 	{
 		if (!ItemPointerIsValid(&etup->heaptids[i]))
@@ -616,91 +429,82 @@ AddDuplicateOnDisk(Relation index, HnswElement element, HnswElement dup, bool bu
 	/* Either being deleted or we lost our chance to another backend */
 	if (i == 0 || i == HNSW_HEAPTIDS)
 	{
-		if (!building)
+		GenericXLogAbort(state);
-			GenericXLogAbort(state);
 		UnlockReleaseBuffer(buf);
 		return false;
 	}
 
-	/* Add heap TID, modifying the tuple on the page directly */
+	/* Add heap TID */
-	etup->heaptids[i] = element->heaptids[0];
+	etup->heaptids[i] = *((ItemPointer) linitial(element->heaptids));
+
+	/* Overwrite tuple */
+	if (!PageIndexTupleOverwrite(page, dup->offno, (Item) etup, etupSize))
+		elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
 
 	/* Commit */
-	if (building)
+	GenericXLogFinish(state);
-		MarkBufferDirty(buf);
-	else
-		GenericXLogFinish(state);
 	UnlockReleaseBuffer(buf);
 
 	return true;
 }
 
 /*
- * Find duplicate element
+ * Write changes to disk
- */
-static bool
-FindDuplicateOnDisk(Relation index, HnswElement element, bool building)
-{
-	char	   *base = NULL;
-	HnswNeighborArray *neighbors = HnswGetNeighbors(base, element, 0);
-	Datum		value = HnswGetValue(base, element);
-
-	for (int i = 0; i < neighbors->length; i++)
-	{
-		HnswCandidate *neighbor = &neighbors->items[i];
-		HnswElement neighborElement = HnswPtrAccess(base, neighbor->element);
-		Datum		neighborValue = HnswGetValue(base, neighborElement);
-
-		/* Exit early since ordered by distance */
-		if (!datumIsEqual(value, neighborValue, false, -1))
-			return false;
-
-		if (AddDuplicateOnDisk(index, element, neighborElement, building))
-			return true;
-	}
-
-	return false;
-}
-
-/*
- * Update graph on disk
  */
 static void
-UpdateGraphOnDisk(Relation index, HnswSupport * support, HnswElement element, int m, HnswElement entryPoint, bool building)
+WriteElement(Relation index, FmgrInfo **procinfos, Oid *collations, HnswElement element, int m, int efConstruction, HnswElement dup, HnswElement entryPoint)
 {
 	BlockNumber newInsertPage = InvalidBlockNumber;
 
-	/* Look for duplicate */
+	/* Try to add to existing page */
-	if (FindDuplicateOnDisk(index, element, building))
+	if (dup != NULL)
-		return;
+	{
+		if (HnswAddDuplicate(index, element, dup))
+			return;
+	}
 
-	/* Add element */
+	/* Write element and neighbor tuples */
-	AddElementOnDisk(index, element, m, GetInsertPage(index), &newInsertPage, building);
+	WriteNewElementPages(index, element, m, GetInsertPage(index), &newInsertPage);
 
 	/* Update insert page if needed */
 	if (BlockNumberIsValid(newInsertPage))
-		HnswUpdateMetaPage(index, 0, NULL, newInsertPage, MAIN_FORKNUM, building);
+		HnswUpdateMetaPage(index, 0, NULL, newInsertPage, MAIN_FORKNUM);
 
 	/* Update neighbors */
-	HnswUpdateNeighborsOnDisk(index, support, element, m, false, building);
+	HnswUpdateNeighborPages(index, procinfos, collations, element, m, false);
 
-	/* Update entry point if needed */
+	/* Update metapage if needed */
 	if (entryPoint == NULL || element->level > entryPoint->level)
-		HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_GREATER, element, InvalidBlockNumber, MAIN_FORKNUM, building);
+		HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_GREATER, element, InvalidBlockNumber, MAIN_FORKNUM);
 }
 
 /*
  * Insert a tuple into the index
  */
 bool
-HnswInsertTupleOnDisk(Relation index, HnswSupport * support, Datum value, ItemPointer heaptid, bool building)
+HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel)
 {
+	Datum		value;
+	FmgrInfo   *normprocinfo;
 	HnswElement entryPoint;
 	HnswElement element;
 	int			m;
 	int			efConstruction = HnswGetEfConstruction(index);
+	FmgrInfo  **procinfos = HnswInitProcinfos(index);
+	Oid		   *collations = index->rd_indcollation;
+	HnswElement dup;
 	LOCKMODE	lockmode = ShareLock;
-	char	   *base = NULL;
+
+	/* Detoast once for all calls */
+	value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
+
+	/* Normalize if needed */
+	normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
+	if (normprocinfo != NULL)
+	{
+		if (!HnswNormValue(normprocinfo, collations[0], &value, NULL))
+			return false;
+	}
 
 	/*
 	 * Get a shared lock. This allows vacuum to ensure no in-flight inserts
@@ -713,8 +517,8 @@ HnswInsertTupleOnDisk(Relation index, HnswSupport * support, Datum value, ItemPo
 	HnswGetMetaPageInfo(index, &m, &entryPoint);
 
 	/* Create an element */
-	element = HnswInitElement(base, heaptid, m, HnswGetMl(m), HnswGetMaxLevel(m), NULL);
+	element = HnswInitElement(heap_tid, m, HnswGetMl(m), HnswGetMaxLevel(m));
-	HnswPtrStore(base, element->value, (char *) DatumGetPointer(value));
+	HnswElementSetData(element, index, value, values, isnull);
 
 	/* Prevent concurrent inserts when likely updating entry point */
 	if (entryPoint == NULL || element->level > entryPoint->level)
@@ -730,11 +534,14 @@ HnswInsertTupleOnDisk(Relation index, HnswSupport * support, Datum value, ItemPo
 		entryPoint = HnswGetEntryPoint(index);
 	}
 
-	/* Find neighbors for element */
+	/* Insert element in graph */
-	HnswFindElementNeighbors(base, element, entryPoint, index, support, m, efConstruction, false);
+	HnswInsertElement(element, entryPoint, index, procinfos, collations, m, efConstruction, false, false);
 
-	/* Update graph on disk */
+	/* Look for duplicate */
-	UpdateGraphOnDisk(index, support, element, m, entryPoint, building);
+	dup = HnswFindDuplicate(element, index);
+
+	/* Write to disk */
+	WriteElement(index, procinfos, collations, element, m, efConstruction, dup, entryPoint);
 
 	/* Release lock */
 	UnlockPage(index, HNSW_UPDATE_LOCK, lockmode);
@@ -742,25 +549,6 @@ HnswInsertTupleOnDisk(Relation index, HnswSupport * support, Datum value, ItemPo
 	return true;
 }
 
-/*
- * Insert a tuple into the index
- */
-static void
-HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heaptid)
-{
-	Datum		value;
-	const		HnswTypeInfo *typeInfo = HnswGetTypeInfo(index);
-	HnswSupport support;
-
-	HnswInitSupport(&support, index);
-
-	/* Form index value */
-	if (!HnswFormIndexValue(&value, values, isnull, typeInfo, &support))
-		return;
-
-	HnswInsertTupleOnDisk(index, &support, value, heaptid, false);
-}
-
 /*
  * Insert a tuple into the index
  */
@@ -787,7 +575,7 @@ hnswinsert(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid,
 	oldCtx = MemoryContextSwitchTo(insertCtx);
 
 	/* Insert tuple */
-	HnswInsertTuple(index, values, isnull, heap_tid);
+	HnswInsertTuple(index, values, isnull, heap_tid, heap);
 
 	/* Delete memory context */
 	MemoryContextSwitchTo(oldCtx);

src/hnswscan.c

@@ -1,89 +1,66 @@
 #include "postgres.h"
 
-#include <limits.h>
-
-#include "access/genam.h"
 #include "access/relscan.h"
 #include "hnsw.h"
-#include "lib/pairingheap.h"
-#include "miscadmin.h"
-#include "nodes/pg_list.h"
 #include "pgstat.h"
+#include "storage/bufmgr.h"
 #include "storage/lmgr.h"
-#include "utils/float.h"
 #include "utils/memutils.h"
-#include "utils/relcache.h"
-#include "utils/snapmgr.h"
-
-#if PG_VERSION_NUM >= 160000
-#include "varatt.h"
-#endif
 
 /*
  * Algorithm 5 from paper
  */
 static List *
-GetScanItems(IndexScanDesc scan, Datum value)
+GetScanItems(IndexScanDesc scan, Datum q)
 {
 	HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
 	Relation	index = scan->indexRelation;
-	HnswSupport *support = &so->support;
+	FmgrInfo  **procinfos = so->procinfos;
+	Oid		   *collations = so->collations;
 	List	   *ep;
 	List	   *w;
 	int			m;
 	HnswElement entryPoint;
-	char	   *base = NULL;
+	ScanKeyData *keyData = scan->keyData;
-	HnswQuery  *q = &so->q;
 
 	/* Get m and entry point */
 	HnswGetMetaPageInfo(index, &m, &entryPoint);
 
-	q->value = value;
-	so->m = m;
-
 	if (entryPoint == NULL)
 		return NIL;
 
-	ep = list_make1(HnswEntryCandidate(base, entryPoint, q, index, support, false));
+	ep = list_make1(HnswEntryCandidate(entryPoint, q, NULL, keyData, index, procinfos, collations, false, false));
 
 	for (int lc = entryPoint->level; lc >= 1; lc--)
 	{
-		w = HnswSearchLayer(base, q, ep, 1, lc, index, support, m, false, NULL, NULL, NULL, true, NULL);
+		w = HnswSearchLayer(q, NULL, keyData, ep, 1, lc, index, procinfos, collations, m, false, NULL, false);
 		ep = w;
 	}
 
-	return HnswSearchLayer(base, q, ep, hnsw_ef_search, 0, index, support, m, false, NULL, &so->v, hnsw_iterative_scan != HNSW_ITERATIVE_SCAN_OFF ? &so->discarded : NULL, true, &so->tuples);
+	return HnswSearchLayer(q, NULL, keyData, ep, hnsw_ef_search, 0, index, procinfos, collations, m, false, NULL, false);
 }
 
 /*
- * Resume scan at ground level with discarded candidates
+ * Get dimensions from metapage
  */
-static List *
+static int
-ResumeScanItems(IndexScanDesc scan)
+GetDimensions(Relation index)
 {
-	HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
+	Buffer		buf;
-	Relation	index = scan->indexRelation;
+	Page		page;
-	List	   *ep = NIL;
+	HnswMetaPage metap;
-	char	   *base = NULL;
+	int			dimensions;
-	int			batch_size = hnsw_ef_search;
 
-	if (pairingheap_is_empty(so->discarded))
+	buf = ReadBuffer(index, HNSW_METAPAGE_BLKNO);
-		return NIL;
+	LockBuffer(buf, BUFFER_LOCK_SHARE);
+	page = BufferGetPage(buf);
+	metap = HnswPageGetMeta(page);
 
-	/* Get next batch of candidates */
+	dimensions = metap->dimensions;
-	for (int i = 0; i < batch_size; i++)
-	{
-		HnswSearchCandidate *sc;
 
-		if (pairingheap_is_empty(so->discarded))
+	UnlockReleaseBuffer(buf);
-			break;
 
-		sc = HnswGetSearchCandidate(w_node, pairingheap_remove_first(so->discarded));
+	return dimensions;
-
-		ep = lappend(ep, sc);
-	}
-
-	return HnswSearchLayer(base, &so->q, ep, batch_size, 0, index, &so->support, so->m, false, NULL, &so->v, &so->discarded, false, &so->tuples);
 }
 
 /*
@@ -96,7 +73,7 @@ GetScanValue(IndexScanDesc scan)
 	Datum		value;
 
 	if (scan->orderByData->sk_flags & SK_ISNULL)
-		value = PointerGetDatum(NULL);
+		value = PointerGetDatum(InitVector(GetDimensions(scan->indexRelation)));
 	else
 	{
 		value = scan->orderByData->sk_argument;
@@ -105,25 +82,14 @@ GetScanValue(IndexScanDesc scan)
 		Assert(!VARATT_IS_COMPRESSED(DatumGetPointer(value)));
 		Assert(!VARATT_IS_EXTENDED(DatumGetPointer(value)));
 
-		/* Normalize if needed */
+		/* Fine if normalization fails */
-		if (so->support.normprocinfo != NULL)
+		if (so->normprocinfo != NULL)
-			value = HnswNormValue(so->typeInfo, so->support.collation, value);
+			HnswNormValue(so->normprocinfo, so->collations[0], &value, NULL);
 	}
 
 	return value;
 }
 
-#if defined(HNSW_MEMORY)
-/*
- * Show memory usage
- */
-static void
-ShowMemoryUsage(HnswScanOpaque so)
-{
-	elog(INFO, "memory: %zu KB, tuples: " INT64_FORMAT, MemoryContextMemAllocated(so->tmpCtx, false) / 1024, so->tuples);
-}
-#endif
-
 /*
  * Prepare for an index scan
  */
@@ -132,28 +98,19 @@ hnswbeginscan(Relation index, int nkeys, int norderbys)
 {
 	IndexScanDesc scan;
 	HnswScanOpaque so;
-	double		maxMemory;
 
 	scan = RelationGetIndexScan(index, nkeys, norderbys);
 
 	so = (HnswScanOpaque) palloc(sizeof(HnswScanOpaqueData));
-	so->typeInfo = HnswGetTypeInfo(index);
+	so->first = true;
-
-	/* Set support functions */
-	HnswInitSupport(&so->support, index);
-
-	/*
-	 * Use a lower max allocation size than default to allow scanning more
-	 * tuples for iterative search before exceeding work_mem
-	 */
 	so->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
 									   "Hnsw scan temporary context",
-									   0, 8 * 1024, 256 * 1024);
+									   ALLOCSET_DEFAULT_SIZES);
 
-	/* Calculate max memory */
+	/* Set support functions */
-	/* Add 256 extra bytes to fill last block when close */
+	so->procinfos = HnswInitProcinfos(index);
-	maxMemory = (double) work_mem * hnsw_scan_mem_multiplier * 1024.0 + 256;
+	so->normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
-	so->maxMemory = Min(maxMemory, (double) (SIZE_MAX / 2));
+	so->collations = index->rd_indcollation;
 
 	scan->opaque = so;
 
@@ -169,11 +126,6 @@ hnswrescan(IndexScanDesc scan, ScanKey keys, int nkeys, ScanKey orderbys, int no
 	HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
 
 	so->first = true;
-	/* v and discarded are allocated in tmpCtx */
-	so->v.tids = NULL;
-	so->discarded = NULL;
-	so->tuples = 0;
-	so->previousDistance = -get_float8_infinity();
 	MemoryContextReset(so->tmpCtx);
 
 	if (keys && scan->numberOfKeys > 0)
@@ -204,10 +156,6 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
 
 		/* Count index scan for stats */
 		pgstat_count_index_scan(scan->indexRelation);
-#if PG_VERSION_NUM >= 180000
-		if (scan->instrument)
-			scan->instrument->nsearches++;
-#endif
 
 		/* Safety check */
 		if (scan->orderByData == NULL)
@@ -233,95 +181,35 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
 		UnlockPage(scan->indexRelation, HNSW_SCAN_LOCK, ShareLock);
 
 		so->first = false;
-
-#if defined(HNSW_MEMORY)
-		ShowMemoryUsage(so);
-#endif
 	}
 
-	for (;;)
+	while (list_length(so->w) > 0)
 	{
-		char	   *base = NULL;
+		HnswCandidate *hc = llast(so->w);
-		HnswSearchCandidate *sc;
-		HnswElement element;
 		ItemPointer heaptid;
 
-		if (list_length(so->w) == 0)
-		{
-			if (hnsw_iterative_scan == HNSW_ITERATIVE_SCAN_OFF)
-				break;
-
-			/* Empty index */
-			if (so->discarded == NULL)
-				break;
-
-			/* Reached max number of tuples or memory limit */
-			if (so->tuples >= hnsw_max_scan_tuples || MemoryContextMemAllocated(so->tmpCtx, false) > so->maxMemory)
-			{
-				if (pairingheap_is_empty(so->discarded))
-					break;
-
-				/* Return remaining tuples */
-				so->w = lappend(so->w, HnswGetSearchCandidate(w_node, pairingheap_remove_first(so->discarded)));
-			}
-			else
-			{
-				/*
-				 * Locking ensures when neighbors are read, the elements they
-				 * reference will not be deleted (and replaced) during the
-				 * iteration.
-				 *
-				 * Elements loaded into memory on previous iterations may have
-				 * been deleted (and replaced), so when reading neighbors, the
-				 * element version must be checked.
-				 */
-				LockPage(scan->indexRelation, HNSW_SCAN_LOCK, ShareLock);
-
-				so->w = ResumeScanItems(scan);
-
-				UnlockPage(scan->indexRelation, HNSW_SCAN_LOCK, ShareLock);
-
-#if defined(HNSW_MEMORY)
-				ShowMemoryUsage(so);
-#endif
-			}
-
-			if (list_length(so->w) == 0)
-				break;
-		}
-
-		sc = llast(so->w);
-		element = HnswPtrAccess(base, sc->element);
-
 		/* Move to next element if no valid heap TIDs */
-		if (element->heaptidsLength == 0)
+		if (list_length(hc->element->heaptids) == 0)
 		{
 			so->w = list_delete_last(so->w);
-
-			/* Mark memory as free for next iteration */
-			if (hnsw_iterative_scan != HNSW_ITERATIVE_SCAN_OFF)
-			{
-				pfree(element);
-				pfree(sc);
-			}
-
 			continue;
 		}
 
-		heaptid = &element->heaptids[--element->heaptidsLength];
+		heaptid = llast(hc->element->heaptids);
 
-		if (hnsw_iterative_scan == HNSW_ITERATIVE_SCAN_STRICT)
+		hc->element->heaptids = list_delete_last(hc->element->heaptids);
-		{
-			if (sc->distance < so->previousDistance)
-				continue;
-
-			so->previousDistance = sc->distance;
-		}
 
 		MemoryContextSwitchTo(oldCtx);
 
+#if PG_VERSION_NUM >= 120000
 		scan->xs_heaptid = *heaptid;
-		scan->xs_recheck = false;
+#else
+		scan->xs_ctup.t_self = *heaptid;
+#endif
+
+		/* TODO Check during scan */
+		scan->xs_recheck = scan->numberOfKeys > 0;
+
 		scan->xs_recheckorderby = false;
 		return true;
 	}
@@ -338,6 +226,7 @@ hnswendscan(IndexScanDesc scan)
 {
 	HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
 
+	pfree(so->procinfos);
 	MemoryContextDelete(so->tmpCtx);
 
 	pfree(so);

src/hnswvacuum.c

@@ -1,30 +1,23 @@
 #include "postgres.h"
 
-#include "access/genam.h"
+#include <math.h>
-#include "access/generic_xlog.h"
+
 #include "commands/vacuum.h"
 #include "hnsw.h"
-#include "nodes/pg_list.h"
 #include "storage/bufmgr.h"
 #include "storage/lmgr.h"
 #include "utils/memutils.h"
-#include "utils/rel.h"
-
-#if PG_VERSION_NUM >= 160000
-#include "varatt.h"
-#endif
-
-#if PG_VERSION_NUM >= 180000
-#define vacuum_delay_point() vacuum_delay_point(false)
-#endif
 
 /*
- * Check if deletion list contains an element
+ * Check if deleted list contains an index TID
  */
 static bool
-DeletingElement(tidhash_hash * deleting, ItemPointer indextid)
+DeletedContains(HTAB *deleted, ItemPointer indextid)
 {
-	return tidhash_lookup(deleting, *indextid) != NULL;
+	bool		found;
+
+	hash_search(deleted, indextid, HASH_FIND, &found);
+	return found;
 }
 
 /*
@@ -37,20 +30,17 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
 {
 	BlockNumber blkno = HNSW_HEAD_BLKNO;
 	HnswElement highestPoint = &vacuumstate->highestPoint;
-	HnswElement fallbackPoint = &vacuumstate->fallbackPoint;
 	Relation	index = vacuumstate->index;
 	BufferAccessStrategy bas = vacuumstate->bas;
+	HnswElement entryPoint = HnswGetEntryPoint(vacuumstate->index);
 	IndexBulkDeleteResult *stats = vacuumstate->stats;
 
-	/* Store separately since HnswElement level is uint8 */
+	/* Store separately since highestPoint.level is uint8 */
 	int			highestLevel = -1;
-	int			fallbackLevel = -1;
 
-	/* Initialize highest point and fallback point */
+	/* Initialize highest point */
 	highestPoint->blkno = InvalidBlockNumber;
 	highestPoint->offno = InvalidOffsetNumber;
-	fallbackPoint->blkno = InvalidBlockNumber;
-	fallbackPoint->offno = InvalidOffsetNumber;
 
 	while (BlockNumberIsValid(blkno))
 	{
@@ -72,7 +62,8 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
 		/* Iterate over nodes */
 		for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
 		{
-			HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, PageGetItemId(page, offno));
+			ItemId		itemid = PageGetItemId(page, offno);
+			HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, itemid);
 			int			idx = 0;
 			bool		itemUpdated = false;
 
@@ -80,14 +71,6 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
 			if (!HnswIsElementTuple(etup))
 				continue;
 
-			/*
-			 * Skip deleted tuples. It is important they are not added to the
-			 * deletion list to avoid false positives in NeedsUpdated and
-			 * ConfirmRepaired.
-			 */
-			if (etup->deleted)
-				continue;
-
 			if (ItemPointerIsValid(&etup->heaptids[0]))
 			{
 				for (int i = 0; i < HNSW_HEAPTIDS; i++)
@@ -111,50 +94,36 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
 
 				if (itemUpdated)
 				{
+					Size		etupSize = ItemIdGetLength(itemid);
+
 					/* Mark rest as invalid */
 					for (int i = idx; i < HNSW_HEAPTIDS; i++)
 						ItemPointerSetInvalid(&etup->heaptids[i]);
 
+					if (!PageIndexTupleOverwrite(page, offno, (Item) etup, etupSize))
+						elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
+
 					updated = true;
 				}
 			}
 
 			if (!ItemPointerIsValid(&etup->heaptids[0]))
 			{
-				ItemPointerData indextid;
+				ItemPointerData ip;
-				bool		found;
 
-				/* Add to deletion list */
+				/* Add to deleted list */
-				ItemPointerSet(&indextid, blkno, offno);
+				ItemPointerSet(&ip, blkno, offno);
 
-				tidhash_insert(vacuumstate->deleting, indextid, &found);
+				(void) hash_search(vacuumstate->deleted, &ip, HASH_ENTER, NULL);
-				Assert(!found);
 			}
-			else if (etup->level > highestLevel)
+			else if (etup->level > highestLevel && !(entryPoint != NULL && blkno == entryPoint->blkno && offno == entryPoint->offno))
 			{
-				if (BlockNumberIsValid(highestPoint->blkno))
+				/* Keep track of highest non-entry point */
-				{
-					/* Current highest point becomes fallback */
-					fallbackPoint->blkno = highestPoint->blkno;
-					fallbackPoint->offno = highestPoint->offno;
-					fallbackPoint->level = highestPoint->level;
-					fallbackLevel = highestLevel;
-				}
-
-				/* Keep track of highest point */
 				highestPoint->blkno = blkno;
 				highestPoint->offno = offno;
 				highestPoint->level = etup->level;
 				highestLevel = etup->level;
 			}
-			else if (etup->level > fallbackLevel)
-			{
-				/* Keep track of second highest point */
-				fallbackPoint->blkno = blkno;
-				fallbackPoint->offno = offno;
-				fallbackPoint->level = etup->level;
-				fallbackLevel = etup->level;
-			}
 		}
 
 		blkno = HnswPageGetOpaque(page)->nextblkno;
@@ -166,10 +135,6 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
 
 		UnlockReleaseBuffer(buf);
 	}
-
-#ifdef HNSW_MEMORY
-	elog(INFO, "memory: %zu KB", MemoryContextMemAllocated(CurrentMemoryContext, true) / 1024);
-#endif
 }
 
 /*
@@ -200,8 +165,8 @@ NeedsUpdated(HnswVacuumState * vacuumstate, HnswElement element)
 		if (!ItemPointerIsValid(indextid))
 			continue;
 
-		/* Check if in deletion list */
+		/* Check if in deleted list */
-		if (DeletingElement(vacuumstate->deleting, indextid))
+		if (DeletedContains(vacuumstate->deleted, indextid))
 		{
 			needsUpdated = true;
 			break;
@@ -210,8 +175,7 @@ NeedsUpdated(HnswVacuumState * vacuumstate, HnswElement element)
 
 	/* Also update if layer 0 is not full */
 	/* This could indicate too many candidates being deleted during insert */
-	/* There should always be more than zero indextids, but check for safety */
+	if (!needsUpdated)
-	if (!needsUpdated && ntup->count > 0)
 		needsUpdated = !ItemPointerIsValid(&ntup->indextids[ntup->count - 1]);
 
 	UnlockReleaseBuffer(buf);
@@ -226,34 +190,31 @@ static void
 RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswElement entryPoint)
 {
 	Relation	index = vacuumstate->index;
-	HnswSupport *support = &vacuumstate->support;
 	Buffer		buf;
 	Page		page;
 	GenericXLogState *state;
 	int			m = vacuumstate->m;
 	int			efConstruction = vacuumstate->efConstruction;
+	FmgrInfo  **procinfos = vacuumstate->procinfos;
+	Oid		   *collations = vacuumstate->collations;
 	BufferAccessStrategy bas = vacuumstate->bas;
 	HnswNeighborTuple ntup = vacuumstate->ntup;
 	Size		ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(element->level, m);
-	char	   *base = NULL;
 
 	/* Skip if element is entry point */
 	if (entryPoint != NULL && element->blkno == entryPoint->blkno && element->offno == entryPoint->offno)
 		return;
 
 	/* Init fields */
-	HnswInitNeighbors(base, element, m, NULL);
+	HnswInitNeighbors(element, m);
-	element->heaptidsLength = 0;
+	element->heaptids = NIL;
 
-	/* Find neighbors for element, skipping itself */
+	/* Add element to graph, skipping itself */
-	HnswFindElementNeighbors(base, element, entryPoint, index, support, m, efConstruction, true);
+	HnswInsertElement(element, entryPoint, index, procinfos, collations, m, efConstruction, true, false);
-
-	/* Zero memory for each element */
-	MemSet(ntup, 0, HNSW_TUPLE_ALLOC_SIZE);
 
 	/* Update neighbor tuple */
 	/* Do this before getting page to minimize locking */
-	HnswSetNeighborTuple(base, ntup, element, m);
+	HnswSetNeighborTuple(ntup, element, m);
 
 	/* Get neighbor page */
 	buf = ReadBufferExtended(index, MAIN_FORKNUM, element->neighborPage, RBM_NORMAL, bas);
@@ -270,7 +231,7 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswEleme
 	UnlockReleaseBuffer(buf);
 
 	/* Update neighbors */
-	HnswUpdateNeighborsOnDisk(index, support, element, m, true, false);
+	HnswUpdateNeighborPages(index, procinfos, collations, element, m, true);
 }
 
 /*
@@ -280,7 +241,6 @@ static void
 RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
 {
 	Relation	index = vacuumstate->index;
-	HnswSupport *support = &vacuumstate->support;
 	HnswElement highestPoint = &vacuumstate->highestPoint;
 	HnswElement entryPoint;
 	MemoryContext oldCtx = MemoryContextSwitchTo(vacuumstate->tmpCtx);
@@ -297,27 +257,12 @@ RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
 		/* Get a shared lock */
 		LockPage(index, HNSW_UPDATE_LOCK, ShareLock);
 
-		/* Get latest entry point */
+		/* Load element */
-		entryPoint = HnswGetEntryPoint(index);
+		HnswLoadElement(highestPoint, NULL, NULL, NULL, NULL, index, vacuumstate->procinfos, vacuumstate->collations, true);
 
-		/* Use fallback point if highest point is entry point */
+		/* Repair if needed */
-		if (entryPoint != NULL && entryPoint->blkno == highestPoint->blkno && entryPoint->offno == highestPoint->offno)
+		if (NeedsUpdated(vacuumstate, highestPoint))
-		{
+			RepairGraphElement(vacuumstate, highestPoint, HnswGetEntryPoint(index));
-			highestPoint = &vacuumstate->fallbackPoint;
-
-			if (!BlockNumberIsValid(highestPoint->blkno))
-				highestPoint = NULL;
-		}
-
-		if (highestPoint != NULL)
-		{
-			/* Load element */
-			HnswLoadElement(highestPoint, NULL, NULL, index, support, true, NULL);
-
-			/* Repair if needed */
-			if (NeedsUpdated(vacuumstate, highestPoint))
-				RepairGraphElement(vacuumstate, highestPoint, entryPoint);
-		}
 
 		/* Release lock */
 		UnlockPage(index, HNSW_UPDATE_LOCK, ShareLock);
@@ -335,14 +280,14 @@ RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
 
 		ItemPointerSet(&epData, entryPoint->blkno, entryPoint->offno);
 
-		if (DeletingElement(vacuumstate->deleting, &epData))
+		if (DeletedContains(vacuumstate->deleted, &epData))
 		{
 			/*
 			 * Replace the entry point with the highest point. If highest
 			 * point is outdated and empty, the entry point will be empty
 			 * until an element is repaired.
 			 */
-			HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_ALWAYS, highestPoint, InvalidBlockNumber, MAIN_FORKNUM, false);
+			HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_ALWAYS, highestPoint, InvalidBlockNumber, MAIN_FORKNUM);
 		}
 		else
 		{
@@ -351,13 +296,13 @@ RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
 			 * is outdated, this can remove connections at higher levels in
 			 * the graph until they are repaired, but this should be fine.
 			 */
-			HnswLoadElement(entryPoint, NULL, NULL, index, support, true, NULL);
+			HnswLoadElement(entryPoint, NULL, NULL, NULL, NULL, index, vacuumstate->procinfos, vacuumstate->collations, true);
 
 			if (NeedsUpdated(vacuumstate, entryPoint))
 			{
 				/* Reset neighbors from previous update */
 				if (highestPoint != NULL)
-					HnswPtrStore((char *) NULL, highestPoint->neighbors, (HnswNeighborArrayPtr *) NULL);
+					highestPoint->neighbors = NULL;
 
 				RepairGraphElement(vacuumstate, entryPoint, highestPoint);
 			}
@@ -421,17 +366,13 @@ RepairGraph(HnswVacuumState * vacuumstate)
 			if (!HnswIsElementTuple(etup))
 				continue;
 
-			/* Skip deleted tuples */
-			if (etup->deleted)
-				continue;
-
 			/* Skip updating neighbors if being deleted */
 			if (!ItemPointerIsValid(&etup->heaptids[0]))
 				continue;
 
 			/* Create an element */
 			element = HnswInitElementFromBlock(blkno, offno);
-			HnswLoadElementFromTuple(element, etup, false, true);
+			HnswLoadElementFromTuple(element, etup, false, true, index);
 
 			elements = lappend(elements, element);
 		}
@@ -479,7 +420,7 @@ RepairGraph(HnswVacuumState * vacuumstate)
 			 * was replaced and highest point was outdated.
 			 */
 			if (entryPoint == NULL || element->level > entryPoint->level)
-				HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_GREATER, element, InvalidBlockNumber, MAIN_FORKNUM, false);
+				HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_GREATER, element, InvalidBlockNumber, MAIN_FORKNUM);
 
 			/* Release lock */
 			UnlockPage(index, HNSW_UPDATE_LOCK, lockmode);
@@ -488,103 +429,6 @@ RepairGraph(HnswVacuumState * vacuumstate)
 		/* Reset memory context */
 		MemoryContextSwitchTo(oldCtx);
 		MemoryContextReset(vacuumstate->tmpCtx);
-
-#ifdef HNSW_VACUUM_PROGRESS
-		if (!BlockNumberIsValid(blkno) || (blkno - HNSW_HEAD_BLKNO) % 1000 == 0)
-		{
-			BlockNumber totalBlocks = RelationGetNumberOfBlocks(index);
-			BlockNumber currentBlocks = BlockNumberIsValid(blkno) ? blkno : totalBlocks;
-
-			elog(INFO, "hnsw vacuum progress: %.1f%%", 100.0 * currentBlocks / totalBlocks);
-		}
-#endif
-	}
-}
-
-/*
- * Confirm graph was repaired
- */
-static void
-ConfirmRepaired(HnswVacuumState * vacuumstate)
-{
-	BlockNumber blkno = HNSW_HEAD_BLKNO;
-	Relation	index = vacuumstate->index;
-	BufferAccessStrategy bas = vacuumstate->bas;
-
-	while (BlockNumberIsValid(blkno))
-	{
-		Buffer		buf;
-		Page		page;
-		OffsetNumber offno;
-		OffsetNumber maxoffno;
-
-		vacuum_delay_point();
-
-		buf = ReadBufferExtended(index, MAIN_FORKNUM, blkno, RBM_NORMAL, bas);
-		LockBuffer(buf, BUFFER_LOCK_SHARE);
-		page = BufferGetPage(buf);
-		maxoffno = PageGetMaxOffsetNumber(page);
-
-		/* Iterate over nodes */
-		for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
-		{
-			HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, PageGetItemId(page, offno));
-			HnswNeighborTuple ntup;
-			Buffer		nbuf;
-			Page		npage;
-			BlockNumber neighborPage;
-			OffsetNumber neighborOffno;
-
-			/* Skip neighbor tuples */
-			if (!HnswIsElementTuple(etup))
-				continue;
-
-			/* Skip deleted tuples */
-			if (etup->deleted)
-				continue;
-
-			/* Skip if being deleted */
-			if (!ItemPointerIsValid(&etup->heaptids[0]))
-				continue;
-
-			/* Get neighbor page */
-			neighborPage = ItemPointerGetBlockNumber(&etup->neighbortid);
-			neighborOffno = ItemPointerGetOffsetNumber(&etup->neighbortid);
-
-			if (neighborPage == blkno)
-			{
-				nbuf = buf;
-				npage = page;
-			}
-			else
-			{
-				nbuf = ReadBufferExtended(index, MAIN_FORKNUM, neighborPage, RBM_NORMAL, bas);
-				LockBuffer(nbuf, BUFFER_LOCK_SHARE);
-				npage = BufferGetPage(nbuf);
-			}
-
-			ntup = (HnswNeighborTuple) PageGetItem(npage, PageGetItemId(npage, neighborOffno));
-
-			/* Check neighbors */
-			for (int i = 0; i < ntup->count; i++)
-			{
-				ItemPointer indextid = &ntup->indextids[i];
-
-				if (!ItemPointerIsValid(indextid))
-					continue;
-
-				/* Check if in deletion list */
-				if (DeletingElement(vacuumstate->deleting, indextid))
-					elog(ERROR, "hnsw graph not repaired");
-			}
-
-			if (nbuf != buf)
-				UnlockReleaseBuffer(nbuf);
-		}
-
-		blkno = HnswPageGetOpaque(page)->nextblkno;
-
-		UnlockReleaseBuffer(buf);
 	}
 }
 
@@ -598,17 +442,13 @@ MarkDeleted(HnswVacuumState * vacuumstate)
 	BlockNumber insertPage = InvalidBlockNumber;
 	Relation	index = vacuumstate->index;
 	BufferAccessStrategy bas = vacuumstate->bas;
+	bool		useIndexTuple = IndexRelationGetNumberOfAttributes(index);
 
 	/*
-	 * Wait for inserts and index scans to complete. Inserts and scans before
+	 * Wait for index scans to complete. Scans before this point may contain
-	 * this point may visit tuples about to be deleted. Inserts and scans
+	 * tuples about to be deleted. Scans after this point will not, since the
-	 * after this point will not, since the graph has been repaired.
+	 * graph has been repaired.
 	 */
-	LockPage(index, HNSW_UPDATE_LOCK, ExclusiveLock);
-	UnlockPage(index, HNSW_UPDATE_LOCK, ExclusiveLock);
-
-	ConfirmRepaired(vacuumstate);
-
 	LockPage(index, HNSW_SCAN_LOCK, ExclusiveLock);
 	UnlockPage(index, HNSW_SCAN_LOCK, ExclusiveLock);
 
@@ -639,8 +479,11 @@ MarkDeleted(HnswVacuumState * vacuumstate)
 		/* Update element and neighbors together */
 		for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
 		{
-			HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, PageGetItemId(page, offno));
+			ItemId		itemid = PageGetItemId(page, offno);
+			HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, itemid);
 			HnswNeighborTuple ntup;
+			Size		etupSize;
+			Size		ntupSize;
 			Buffer		nbuf;
 			Page		npage;
 			BlockNumber neighborPage;
@@ -664,6 +507,10 @@ MarkDeleted(HnswVacuumState * vacuumstate)
 			if (ItemPointerIsValid(&etup->heaptids[0]))
 				continue;
 
+			/* Calculate sizes */
+			etupSize = ItemIdGetLength(itemid);
+			ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(etup->level, vacuumstate->m);
+
 			/* Get neighbor page */
 			neighborPage = ItemPointerGetBlockNumber(&etup->neighbortid);
 			neighborOffno = ItemPointerGetOffsetNumber(&etup->neighbortid);
@@ -683,26 +530,31 @@ MarkDeleted(HnswVacuumState * vacuumstate)
 			ntup = (HnswNeighborTuple) PageGetItem(npage, PageGetItemId(npage, neighborOffno));
 
 			/* Overwrite element */
-			/* Use memset instead of MemSet to keep clang-tidy happy */
 			etup->deleted = 1;
-			memset(&etup->data, 0, VARSIZE_ANY(&etup->data));
+			if (useIndexTuple)
+			{
+				IndexTuple	itup = (IndexTuple) &etup->data;
+
+				MemSet(itup, 0, IndexTupleSize(itup));
+			}
+			else
+			{
+				Vector	   *vec = (Vector *) (&etup->data);
+
+				MemSet(vec, 0, VARSIZE_ANY(vec));
+			}
 
 			/* Overwrite neighbors */
 			for (int i = 0; i < ntup->count; i++)
 				ItemPointerSetInvalid(&ntup->indextids[i]);
 
-			/* Increment version */
+			/* Overwrite element tuple */
-			/* This is used to avoid incorrect reads for iterative scans */
+			if (!PageIndexTupleOverwrite(page, offno, (Item) etup, etupSize))
-			/* Reserve some bits for future use */
+				elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
-			etup->version++;
-			if (etup->version > 15)
-				etup->version = 1;
-			ntup->version = etup->version;
 
-			/*
+			/* Overwrite neighbor tuple */
-			 * We modified the tuples in place, no need to call
+			if (!PageIndexTupleOverwrite(npage, neighborOffno, (Item) ntup, ntupSize))
-			 * PageIndexTupleOverwrite
+				elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
-			 */
 
 			/* Commit */
 			GenericXLogFinish(state);
@@ -725,7 +577,7 @@ MarkDeleted(HnswVacuumState * vacuumstate)
 	}
 
 	/* Update insert page last, after everything has been marked as deleted */
-	HnswUpdateMetaPage(index, 0, NULL, insertPage, MAIN_FORKNUM, false);
+	HnswUpdateMetaPage(index, 0, NULL, insertPage, MAIN_FORKNUM);
 }
 
 /*
@@ -735,6 +587,7 @@ static void
 InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkDeleteResult *stats, IndexBulkDeleteCallback callback, void *callback_state)
 {
 	Relation	index = info->index;
+	HASHCTL		hash_ctl;
 
 	if (stats == NULL)
 		stats = (IndexBulkDeleteResult *) palloc0(sizeof(IndexBulkDeleteResult));
@@ -745,18 +598,21 @@ InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkD
 	vacuumstate->callback_state = callback_state;
 	vacuumstate->efConstruction = HnswGetEfConstruction(index);
 	vacuumstate->bas = GetAccessStrategy(BAS_BULKREAD);
-	vacuumstate->ntup = palloc0(HNSW_TUPLE_ALLOC_SIZE);
+	vacuumstate->procinfos = HnswInitProcinfos(index);
+	vacuumstate->collations = index->rd_indcollation;
+	vacuumstate->ntup = palloc0(BLCKSZ);
 	vacuumstate->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
 												"Hnsw vacuum temporary context",
 												ALLOCSET_DEFAULT_SIZES);
 
-	HnswInitSupport(&vacuumstate->support, index);
-
 	/* Get m from metapage */
 	HnswGetMetaPageInfo(index, &vacuumstate->m, NULL);
 
 	/* Create hash table */
-	vacuumstate->deleting = tidhash_create(CurrentMemoryContext, 256, NULL);
+	hash_ctl.keysize = sizeof(ItemPointerData);
+	hash_ctl.entrysize = sizeof(ItemPointerData);
+	hash_ctl.hcxt = CurrentMemoryContext;
+	vacuumstate->deleted = hash_create("hnswbulkdelete indextids", 256, &hash_ctl, HASH_ELEM | HASH_BLOBS | HASH_CONTEXT);
 }
 
 /*
@@ -765,8 +621,9 @@ InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkD
 static void
 FreeVacuumState(HnswVacuumState * vacuumstate)
 {
-	tidhash_destroy(vacuumstate->deleting);
+	hash_destroy(vacuumstate->deleted);
 	FreeAccessStrategy(vacuumstate->bas);
+	pfree(vacuumstate->procinfos);
 	pfree(vacuumstate->ntup);
 	MemoryContextDelete(vacuumstate->tmpCtx);
 }
@@ -783,13 +640,13 @@ hnswbulkdelete(IndexVacuumInfo *info, IndexBulkDeleteResult *stats,
 	InitVacuumState(&vacuumstate, info, stats, callback, callback_state);
 
 	/* Pass 1: Remove heap TIDs */
-	HnswBench("RemoveHeapTids", RemoveHeapTids(&vacuumstate));
+	RemoveHeapTids(&vacuumstate);
 
 	/* Pass 2: Repair graph */
-	HnswBench("RepairGraph", RepairGraph(&vacuumstate));
+	RepairGraph(&vacuumstate);
 
-	/* Passes 3 and 4: Confirm repaired and mark as deleted */
+	/* Pass 3: Mark as deleted */
-	HnswBench("MarkDeleted", MarkDeleted(&vacuumstate));
+	MarkDeleted(&vacuumstate);
 
 	FreeVacuumState(&vacuumstate);
 

src/ivfbuild.c

@@ -2,49 +2,58 @@
 
 #include <float.h>
 
-#include "access/genam.h"
-#include "access/generic_xlog.h"
-#include "access/itup.h"
-#include "access/relscan.h"
-#include "access/table.h"
-#include "access/tableam.h"
-#include "access/tupdesc.h"
 #include "access/parallel.h"
 #include "access/xact.h"
-#include "access/xloginsert.h"
 #include "catalog/index.h"
 #include "catalog/pg_operator_d.h"
 #include "catalog/pg_type_d.h"
-#include "commands/progress.h"
-#include "fmgr.h"
 #include "ivfflat.h"
 #include "miscadmin.h"
-#include "nodes/execnodes.h"
-#include "optimizer/optimizer.h"
 #include "storage/bufmgr.h"
-#include "storage/condition_variable.h"
 #include "tcop/tcopprot.h"
 #include "utils/memutils.h"
-#include "utils/rel.h"
-#include "utils/sampling.h"
-#include "utils/snapmgr.h"
-#include "utils/tuplesort.h"
-
-#if PG_VERSION_NUM >= 160000
-#include "varatt.h"
-#endif
 
 #if PG_VERSION_NUM >= 140000
 #include "utils/backend_progress.h"
-#else
+#elif PG_VERSION_NUM >= 120000
 #include "pgstat.h"
 #endif
 
+#if PG_VERSION_NUM >= 120000
+#include "access/tableam.h"
+#include "commands/progress.h"
+#else
+#define PROGRESS_CREATEIDX_SUBPHASE 0
+#define PROGRESS_CREATEIDX_TUPLES_TOTAL 0
+#define PROGRESS_CREATEIDX_TUPLES_DONE 0
+#endif
+
+#if PG_VERSION_NUM >= 130000
+#define CALLBACK_ITEM_POINTER ItemPointer tid
+#else
+#define CALLBACK_ITEM_POINTER HeapTuple hup
+#endif
+
+#if PG_VERSION_NUM >= 120000
+#define UpdateProgress(index, val) pgstat_progress_update_param(index, val)
+#else
+#define UpdateProgress(index, val) ((void)val)
+#endif
+
 #if PG_VERSION_NUM >= 140000
 #include "utils/backend_status.h"
 #include "utils/wait_event.h"
 #endif
 
+#if PG_VERSION_NUM >= 120000
+#include "access/table.h"
+#include "optimizer/optimizer.h"
+#else
+#include "access/heapam.h"
+#include "optimizer/planner.h"
+#include "pgstat.h"
+#endif
+
 #define PARALLEL_KEY_IVFFLAT_SHARED		UINT64CONST(0xA000000000000001)
 #define PARALLEL_KEY_TUPLESORT			UINT64CONST(0xA000000000000002)
 #define PARALLEL_KEY_IVFFLAT_CENTERS	UINT64CONST(0xA000000000000003)
@@ -63,24 +72,24 @@ AddSample(Datum *values, IvfflatBuildState * buildstate)
 	Datum		value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
 
 	/*
-	 * Check with KMEANS_NORM_PROC that the value can be normalized since
+	 * Normalize with KMEANS_NORM_PROC since spherical distance function
-	 * spherical distance function expects unit vectors
+	 * expects unit vectors
 	 */
 	if (buildstate->kmeansnormprocinfo != NULL)
 	{
-		if (!IvfflatCheckNorm(buildstate->kmeansnormprocinfo, buildstate->collation, value))
+		if (!IvfflatNormValue(buildstate->kmeansnormprocinfo, buildstate->collation, &value, buildstate->normvec))
 			return;
 	}
 
 	if (samples->length < targsamples)
 	{
-		VectorArraySet(samples, samples->length, DatumGetPointer(value));
+		VectorArraySet(samples, samples->length, DatumGetVector(value));
 		samples->length++;
 	}
 	else
 	{
 		if (buildstate->rowstoskip < 0)
-			buildstate->rowstoskip = reservoir_get_next_S(&buildstate->rstate, buildstate->samplerows, targsamples);
+			buildstate->rowstoskip = reservoir_get_next_S(&buildstate->rstate, samples->length, targsamples);
 
 		if (buildstate->rowstoskip <= 0)
 		{
@@ -91,21 +100,18 @@ AddSample(Datum *values, IvfflatBuildState * buildstate)
 #endif
 
 			Assert(k >= 0 && k < targsamples);
-			VectorArraySet(samples, k, DatumGetPointer(value));
+			VectorArraySet(samples, k, DatumGetVector(value));
 		}
 
 		buildstate->rowstoskip -= 1;
 	}
-
-	/* Increment after reservoir_get_next_S */
-	buildstate->samplerows += 1;
 }
 
 /*
  * Callback for sampling
  */
 static void
-SampleCallback(Relation index, ItemPointer tid, Datum *values,
+SampleCallback(Relation index, CALLBACK_ITEM_POINTER, Datum *values,
 			   bool *isnull, bool tupleIsAlive, void *state)
 {
 	IvfflatBuildState *buildstate = (IvfflatBuildState *) state;
@@ -119,7 +125,7 @@ SampleCallback(Relation index, ItemPointer tid, Datum *values,
 	oldCtx = MemoryContextSwitchTo(buildstate->tmpCtx);
 
 	/* Add sample */
-	AddSample(values, buildstate);
+	AddSample(values, state);
 
 	/* Reset memory context */
 	MemoryContextSwitchTo(oldCtx);
@@ -135,7 +141,6 @@ SampleRows(IvfflatBuildState * buildstate)
 	int			targsamples = buildstate->samples->maxlen;
 	BlockNumber totalblocks = RelationGetNumberOfBlocks(buildstate->heap);
 
-	buildstate->samplerows = 0;
 	buildstate->rowstoskip = -1;
 
 	BlockSampler_Init(&buildstate->bs, totalblocks, targsamples, RandomInt());
@@ -145,21 +150,21 @@ SampleRows(IvfflatBuildState * buildstate)
 	{
 		BlockNumber targblock = BlockSampler_Next(&buildstate->bs);
 
-		/* Set anyvisible to false like table_index_build_scan */
+#if PG_VERSION_NUM >= 120000
 		table_index_build_range_scan(buildstate->heap, buildstate->index, buildstate->indexInfo,
-									 false, false, false, targblock, 1, SampleCallback, (void *) buildstate, NULL);
+									 false, true, false, targblock, 1, SampleCallback, (void *) buildstate, NULL);
+#else
+		IndexBuildHeapRangeScan(buildstate->heap, buildstate->index, buildstate->indexInfo,
+								false, true, targblock, 1, SampleCallback, (void *) buildstate, NULL);
+#endif
 	}
-
-	/* Normalize if needed */
-	if (buildstate->kmeansnormprocinfo != NULL)
-		IvfflatNormVectors(buildstate->typeInfo, buildstate->collation, buildstate->samples, buildstate->tmpCtx);
 }
 
 /*
  * Add tuple to sort
  */
 static void
-AddTupleToSort(ItemPointer tid, Datum *values, IvfflatBuildState * buildstate)
+AddTupleToSort(Relation index, ItemPointer tid, Datum *values, IvfflatBuildState * buildstate)
 {
 	double		distance;
 	double		minDistance = DBL_MAX;
@@ -173,10 +178,8 @@ AddTupleToSort(ItemPointer tid, Datum *values, IvfflatBuildState * buildstate)
 	/* Normalize if needed */
 	if (buildstate->normprocinfo != NULL)
 	{
-		if (!IvfflatCheckNorm(buildstate->normprocinfo, buildstate->collation, value))
+		if (!IvfflatNormValue(buildstate->normprocinfo, buildstate->collation, &value, buildstate->normvec))
 			return;
-
-		value = IvfflatNormValue(buildstate->typeInfo, buildstate->collation, value);
 	}
 
 	/* Find the list that minimizes the distance */
@@ -222,12 +225,16 @@ AddTupleToSort(ItemPointer tid, Datum *values, IvfflatBuildState * buildstate)
  * Callback for table_index_build_scan
  */
 static void
-BuildCallback(Relation index, ItemPointer tid, Datum *values,
+BuildCallback(Relation index, CALLBACK_ITEM_POINTER, Datum *values,
 			  bool *isnull, bool tupleIsAlive, void *state)
 {
 	IvfflatBuildState *buildstate = (IvfflatBuildState *) state;
 	MemoryContext oldCtx;
 
+#if PG_VERSION_NUM < 130000
+	ItemPointer tid = &hup->t_self;
+#endif
+
 	/* Skip nulls */
 	if (isnull[0])
 		return;
@@ -236,7 +243,7 @@ BuildCallback(Relation index, ItemPointer tid, Datum *values,
 	oldCtx = MemoryContextSwitchTo(buildstate->tmpCtx);
 
 	/* Add tuple to sort */
-	AddTupleToSort(tid, values, buildstate);
+	AddTupleToSort(index, tid, values, buildstate);
 
 	/* Reset memory context */
 	MemoryContextSwitchTo(oldCtx);
@@ -249,11 +256,11 @@ BuildCallback(Relation index, ItemPointer tid, Datum *values,
 static inline void
 GetNextTuple(Tuplesortstate *sortstate, TupleDesc tupdesc, TupleTableSlot *slot, IndexTuple *itup, int *list)
 {
+	Datum		value;
+	bool		isnull;
+
 	if (tuplesort_gettupleslot(sortstate, true, false, slot, NULL))
 	{
-		Datum		value;
-		bool		isnull;
-
 		*list = DatumGetInt32(slot_getattr(slot, 1, &isnull));
 		value = slot_getattr(slot, 3, &isnull);
 
@@ -275,12 +282,16 @@ InsertTuples(Relation index, IvfflatBuildState * buildstate, ForkNumber forkNum)
 	IndexTuple	itup = NULL;	/* silence compiler warning */
 	int64		inserted = 0;
 
-	TupleTableSlot *slot = MakeSingleTupleTableSlot(buildstate->sortdesc, &TTSOpsMinimalTuple);
+#if PG_VERSION_NUM >= 120000
-	TupleDesc	tupdesc = buildstate->tupdesc;
+	TupleTableSlot *slot = MakeSingleTupleTableSlot(buildstate->tupdesc, &TTSOpsMinimalTuple);
+#else
+	TupleTableSlot *slot = MakeSingleTupleTableSlot(buildstate->tupdesc);
+#endif
+	TupleDesc	tupdesc = RelationGetDescr(index);
 
-	pgstat_progress_update_param(PROGRESS_CREATEIDX_SUBPHASE, PROGRESS_IVFFLAT_PHASE_LOAD);
+	UpdateProgress(PROGRESS_CREATEIDX_SUBPHASE, PROGRESS_IVFFLAT_PHASE_LOAD);
 
-	pgstat_progress_update_param(PROGRESS_CREATEIDX_TUPLES_TOTAL, buildstate->indtuples);
+	UpdateProgress(PROGRESS_CREATEIDX_TUPLES_TOTAL, buildstate->indtuples);
 
 	GetNextTuple(buildstate->sortstate, tupdesc, slot, &itup, &list);
 
@@ -316,7 +327,7 @@ InsertTuples(Relation index, IvfflatBuildState * buildstate, ForkNumber forkNum)
 
 			pfree(itup);
 
-			pgstat_progress_update_param(PROGRESS_CREATEIDX_TUPLES_DONE, ++inserted);
+			UpdateProgress(PROGRESS_CREATEIDX_TUPLES_DONE, ++inserted);
 
 			GetNextTuple(buildstate->sortstate, tupdesc, slot, &itup, &list);
 		}
@@ -339,28 +350,16 @@ InitBuildState(IvfflatBuildState * buildstate, Relation heap, Relation index, In
 	buildstate->heap = heap;
 	buildstate->index = index;
 	buildstate->indexInfo = indexInfo;
-	buildstate->typeInfo = IvfflatGetTypeInfo(index);
-	buildstate->tupdesc = RelationGetDescr(index);
 
 	buildstate->lists = IvfflatGetLists(index);
 	buildstate->dimensions = TupleDescAttr(index->rd_att, 0)->atttypmod;
 
-	/* Disallow varbit since require fixed dimensions */
-	if (TupleDescAttr(index->rd_att, 0)->atttypid == VARBITOID)
-		ereport(ERROR,
-				(errcode(ERRCODE_FEATURE_NOT_SUPPORTED),
-				 errmsg("type not supported for ivfflat index")));
-
 	/* Require column to have dimensions to be indexed */
 	if (buildstate->dimensions < 0)
-		ereport(ERROR,
+		elog(ERROR, "column does not have dimensions");
-				(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
-				 errmsg("column does not have dimensions")));
 
-	if (buildstate->dimensions > buildstate->typeInfo->maxDimensions)
+	if (buildstate->dimensions > IVFFLAT_MAX_DIM)
-		ereport(ERROR,
+		elog(ERROR, "column cannot have more than %d dimensions for ivfflat index", IVFFLAT_MAX_DIM);
-				(errcode(ERRCODE_PROGRAM_LIMIT_EXCEEDED),
-				 errmsg("column cannot have more than %d dimensions for ivfflat index", buildstate->typeInfo->maxDimensions)));
 
 	buildstate->reltuples = 0;
 	buildstate->indtuples = 0;
@@ -373,31 +372,30 @@ InitBuildState(IvfflatBuildState * buildstate, Relation heap, Relation index, In
 
 	/* Require more than one dimension for spherical k-means */
 	if (buildstate->kmeansnormprocinfo != NULL && buildstate->dimensions == 1)
-		ereport(ERROR,
+		elog(ERROR, "dimensions must be greater than one for this opclass");
-				(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
-				 errmsg("dimensions must be greater than one for this opclass")));
 
 	/* Create tuple description for sorting */
-	buildstate->sortdesc = CreateTemplateTupleDesc(3);
+#if PG_VERSION_NUM >= 120000
-	TupleDescInitEntry(buildstate->sortdesc, (AttrNumber) 1, "list", INT4OID, -1, 0);
+	buildstate->tupdesc = CreateTemplateTupleDesc(3);
-	TupleDescInitEntry(buildstate->sortdesc, (AttrNumber) 2, "tid", TIDOID, -1, 0);
+#else
-	TupleDescInitEntry(buildstate->sortdesc, (AttrNumber) 3, "vector", TupleDescAttr(buildstate->tupdesc, 0)->atttypid, -1, 0);
+	buildstate->tupdesc = CreateTemplateTupleDesc(3, false);
-#if PG_VERSION_NUM >= 190000
+#endif
-	TupleDescFinalize(buildstate->sortdesc);
+	TupleDescInitEntry(buildstate->tupdesc, (AttrNumber) 1, "list", INT4OID, -1, 0);
+	TupleDescInitEntry(buildstate->tupdesc, (AttrNumber) 2, "tid", TIDOID, -1, 0);
+	TupleDescInitEntry(buildstate->tupdesc, (AttrNumber) 3, "vector", RelationGetDescr(index)->attrs[0].atttypid, -1, 0);
+
+#if PG_VERSION_NUM >= 120000
+	buildstate->slot = MakeSingleTupleTableSlot(buildstate->tupdesc, &TTSOpsVirtual);
+#else
+	buildstate->slot = MakeSingleTupleTableSlot(buildstate->tupdesc);
 #endif
 
-	buildstate->slot = MakeSingleTupleTableSlot(buildstate->sortdesc, &TTSOpsVirtual);
+	buildstate->centers = VectorArrayInit(buildstate->lists, buildstate->dimensions);
-
-	buildstate->memoryUsed = 0;
-	buildstate->itemsize = buildstate->typeInfo->itemSize(buildstate->dimensions);
-
-	buildstate->memoryUsed += VECTOR_ARRAY_SIZE(buildstate->lists, buildstate->itemsize);
-	IvfflatCheckMemoryUsage(buildstate->memoryUsed);
-	buildstate->centers = VectorArrayInit(buildstate->lists, buildstate->dimensions, buildstate->itemsize);
-
-	/* TODO Move allocation to page creation */
 	buildstate->listInfo = palloc(sizeof(ListInfo) * buildstate->lists);
 
+	/* Reuse for each tuple */
+	buildstate->normvec = InitVector(buildstate->dimensions);
+
 	buildstate->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
 											   "Ivfflat build temporary context",
 											   ALLOCSET_DEFAULT_SIZES);
@@ -419,6 +417,7 @@ FreeBuildState(IvfflatBuildState * buildstate)
 {
 	VectorArrayFree(buildstate->centers);
 	pfree(buildstate->listInfo);
+	pfree(buildstate->normvec);
 
 #ifdef IVFFLAT_KMEANS_DEBUG
 	pfree(buildstate->listSums);
@@ -436,32 +435,24 @@ ComputeCenters(IvfflatBuildState * buildstate)
 {
 	int			numSamples;
 
-	pgstat_progress_update_param(PROGRESS_CREATEIDX_SUBPHASE, PROGRESS_IVFFLAT_PHASE_KMEANS);
+	UpdateProgress(PROGRESS_CREATEIDX_SUBPHASE, PROGRESS_IVFFLAT_PHASE_KMEANS);
+
+	/* Target 50 samples per list, with at least 10000 samples */
+	/* The number of samples has a large effect on index build time */
+	numSamples = buildstate->lists * 50;
+	if (numSamples < 10000)
+		numSamples = 10000;
 
 	/* Skip samples for unlogged table */
 	if (buildstate->heap == NULL)
 		numSamples = 1;
-	else
-	{
-		int64		maxTuples = (int64) RelationGetNumberOfBlocks(buildstate->heap) * MaxHeapTuplesPerPage;
-
-		/* Target 50 samples per list, with at least 10000 samples */
-		/* The number of samples has a large effect on index build time */
-		numSamples = buildstate->lists * 50;
-		if (numSamples < 10000)
-			numSamples = 10000;
-
-		/* Save memory since will not have more than max tuples */
-		numSamples = Max(Min(numSamples, maxTuples), 1);
-	}
 
 	/* Sample rows */
-	buildstate->memoryUsed += VECTOR_ARRAY_SIZE(numSamples, buildstate->itemsize);
+	/* TODO Ensure within maintenance_work_mem */
-	IvfflatCheckMemoryUsage(buildstate->memoryUsed);
+	buildstate->samples = VectorArrayInit(numSamples, buildstate->dimensions);
-	buildstate->samples = VectorArrayInit(numSamples, buildstate->dimensions, buildstate->itemsize);
 	if (buildstate->heap != NULL)
 	{
-		IvfflatBench("sample rows", SampleRows(buildstate));
+		SampleRows(buildstate);
 
 		if (buildstate->samples->length < buildstate->lists)
 		{
@@ -473,7 +464,7 @@ ComputeCenters(IvfflatBuildState * buildstate)
 	}
 
 	/* Calculate centers */
-	IvfflatBench("k-means", IvfflatKmeans(buildstate->index, buildstate->samples, buildstate->centers, buildstate->typeInfo, buildstate->memoryUsed));
+	IvfflatBench("k-means", IvfflatKmeans(buildstate->index, buildstate->samples, buildstate->centers));
 
 	/* Free samples before we allocate more memory */
 	VectorArrayFree(buildstate->samples);
@@ -509,8 +500,8 @@ CreateMetaPage(Relation index, int dimensions, int lists, ForkNumber forkNum)
  * Create list pages
  */
 static void
-CreateListPages(Relation index, VectorArray centers, int lists,
+CreateListPages(Relation index, VectorArray centers, int dimensions,
-				ForkNumber forkNum, ListInfo * *listInfo)
+				int lists, ForkNumber forkNum, ListInfo * *listInfo)
 {
 	Buffer		buf;
 	Page		page;
@@ -518,8 +509,8 @@ CreateListPages(Relation index, VectorArray centers, int lists,
 	Size		listSize;
 	IvfflatList list;
 
-	listSize = MAXALIGN(IVFFLAT_LIST_SIZE(centers->itemsize));
+	listSize = MAXALIGN(IVFFLAT_LIST_SIZE(dimensions));
-	list = palloc0(listSize);
+	list = palloc(listSize);
 
 	buf = IvfflatNewBuffer(index, forkNum);
 	IvfflatInitRegisterPage(index, &buf, &page, &state);
@@ -528,13 +519,10 @@ CreateListPages(Relation index, VectorArray centers, int lists,
 	{
 		OffsetNumber offno;
 
-		/* Zero memory for each list */
-		MemSet(list, 0, listSize);
-
 		/* Load list */
 		list->startPage = InvalidBlockNumber;
 		list->insertPage = InvalidBlockNumber;
-		memcpy(&list->center, VectorArrayGet(centers, i), VARSIZE_ANY(VectorArrayGet(centers, i)));
+		memcpy(&list->center, VectorArrayGet(centers, i), VECTOR_SIZE(dimensions));
 
 		/* Ensure free space */
 		if (PageGetFreeSpace(page) < listSize)
@@ -555,10 +543,10 @@ CreateListPages(Relation index, VectorArray centers, int lists,
 	pfree(list);
 }
 
-#ifdef IVFFLAT_KMEANS_DEBUG
 /*
  * Print k-means metrics
  */
+#ifdef IVFFLAT_KMEANS_DEBUG
 static void
 PrintKmeansMetrics(IvfflatBuildState * buildstate)
 {
@@ -600,20 +588,6 @@ PrintKmeansMetrics(IvfflatBuildState * buildstate)
 }
 #endif
 
-/*
- * Initialize build sort state
- */
-static Tuplesortstate *
-InitBuildSortState(TupleDesc tupdesc, int memory, SortCoordinate coordinate)
-{
-	AttrNumber	attNums[] = {1};
-	Oid			sortOperators[] = {Int4LessOperator};
-	Oid			sortCollations[] = {InvalidOid};
-	bool		nullsFirstFlags[] = {false};
-
-	return tuplesort_begin_heap(tupdesc, 1, attNums, sortOperators, sortCollations, nullsFirstFlags, memory, coordinate, false);
-}
-
 /*
  * Within leader, wait for end of heap scan
  */
@@ -653,14 +627,24 @@ ParallelHeapScan(IvfflatBuildState * buildstate)
  * Perform a worker's portion of a parallel sort
  */
 static void
-IvfflatParallelScanAndSort(IvfflatSpool * ivfspool, IvfflatShared * ivfshared, Sharedsort *sharedsort, char *ivfcenters, int sortmem, bool progress)
+IvfflatParallelScanAndSort(IvfflatSpool * ivfspool, IvfflatShared * ivfshared, Sharedsort *sharedsort, Vector * ivfcenters, int sortmem, bool progress)
 {
 	SortCoordinate coordinate;
 	IvfflatBuildState buildstate;
+#if PG_VERSION_NUM >= 120000
 	TableScanDesc scan;
+#else
+	HeapScanDesc scan;
+#endif
 	double		reltuples;
 	IndexInfo  *indexInfo;
 
+	/* Sort options, which must match AssignTuples */
+	AttrNumber	attNums[] = {1};
+	Oid			sortOperators[] = {Int4LessOperator};
+	Oid			sortCollations[] = {InvalidOid};
+	bool		nullsFirstFlags[] = {false};
+
 	/* Initialize local tuplesort coordination state */
 	coordinate = palloc0(sizeof(SortCoordinateData));
 	coordinate->isWorker = true;
@@ -671,19 +655,22 @@ IvfflatParallelScanAndSort(IvfflatSpool * ivfspool, IvfflatShared * ivfshared, S
 	indexInfo = BuildIndexInfo(ivfspool->index);
 	indexInfo->ii_Concurrent = ivfshared->isconcurrent;
 	InitBuildState(&buildstate, ivfspool->heap, ivfspool->index, indexInfo);
-	memcpy(buildstate.centers->items, ivfcenters, buildstate.centers->itemsize * buildstate.centers->maxlen);
+	memcpy(buildstate.centers->items, ivfcenters, VECTOR_SIZE(buildstate.centers->dim) * buildstate.centers->maxlen);
 	buildstate.centers->length = buildstate.centers->maxlen;
-	ivfspool->sortstate = InitBuildSortState(buildstate.sortdesc, sortmem, coordinate);
+	ivfspool->sortstate = tuplesort_begin_heap(buildstate.tupdesc, 1, attNums, sortOperators, sortCollations, nullsFirstFlags, sortmem, coordinate, false);
 	buildstate.sortstate = ivfspool->sortstate;
+#if PG_VERSION_NUM >= 120000
 	scan = table_beginscan_parallel(ivfspool->heap,
-									ParallelTableScanFromIvfflatShared(ivfshared)
+									ParallelTableScanFromIvfflatShared(ivfshared));
-#if PG_VERSION_NUM >= 190000
-									,SO_NONE
-#endif
-		);
 	reltuples = table_index_build_scan(ivfspool->heap, ivfspool->index, indexInfo,
 									   true, progress, BuildCallback,
 									   (void *) &buildstate, scan);
+#else
+	scan = heap_beginscan_parallel(ivfspool->heap, &ivfshared->heapdesc);
+	reltuples = IndexBuildHeapScan(ivfspool->heap, ivfspool->index, indexInfo,
+								   true, BuildCallback,
+								   (void *) &buildstate, scan);
+#endif
 
 	/* Execute this worker's part of the sort */
 	tuplesort_performsort(ivfspool->sortstate);
@@ -723,7 +710,7 @@ IvfflatParallelBuildMain(dsm_segment *seg, shm_toc *toc)
 	IvfflatSpool *ivfspool;
 	IvfflatShared *ivfshared;
 	Sharedsort *sharedsort;
-	char	   *ivfcenters;
+	Vector	   *ivfcenters;
 	Relation	heapRel;
 	Relation	indexRel;
 	LOCKMODE	heapLockmode;
@@ -753,7 +740,11 @@ IvfflatParallelBuildMain(dsm_segment *seg, shm_toc *toc)
 	}
 
 	/* Open relations within worker */
+#if PG_VERSION_NUM >= 120000
 	heapRel = table_open(ivfshared->heaprelid, heapLockmode);
+#else
+	heapRel = heap_open(ivfshared->heaprelid, heapLockmode);
+#endif
 	indexRel = index_open(ivfshared->indexrelid, indexLockmode);
 
 	/* Initialize worker's own spool */
@@ -773,7 +764,11 @@ IvfflatParallelBuildMain(dsm_segment *seg, shm_toc *toc)
 
 	/* Close relations within worker */
 	index_close(indexRel, indexLockmode);
+#if PG_VERSION_NUM >= 120000
 	table_close(heapRel, heapLockmode);
+#else
+	heap_close(heapRel, heapLockmode);
+#endif
 }
 
 /*
@@ -798,7 +793,19 @@ IvfflatEndParallel(IvfflatLeader * ivfleader)
 static Size
 ParallelEstimateShared(Relation heap, Snapshot snapshot)
 {
+#if PG_VERSION_NUM >= 120000
 	return add_size(BUFFERALIGN(sizeof(IvfflatShared)), table_parallelscan_estimate(heap, snapshot));
+#else
+	if (!IsMVCCSnapshot(snapshot))
+	{
+		Assert(snapshot == SnapshotAny);
+		return sizeof(IvfflatShared);
+	}
+
+	return add_size(offsetof(IvfflatShared, heapdesc) +
+					offsetof(ParallelHeapScanDescData, phs_snapshot_data),
+					EstimateSnapshotSpace(snapshot));
+#endif
 }
 
 /*
@@ -837,7 +844,7 @@ IvfflatBeginParallel(IvfflatBuildState * buildstate, bool isconcurrent, int requ
 	Size		estcenters;
 	IvfflatShared *ivfshared;
 	Sharedsort *sharedsort;
-	char	   *ivfcenters;
+	Vector	   *ivfcenters;
 	IvfflatLeader *ivfleader = (IvfflatLeader *) palloc0(sizeof(IvfflatLeader));
 	bool		leaderparticipates = true;
 	int			querylen;
@@ -849,7 +856,11 @@ IvfflatBeginParallel(IvfflatBuildState * buildstate, bool isconcurrent, int requ
 	/* Enter parallel mode and create context */
 	EnterParallelMode();
 	Assert(request > 0);
+#if PG_VERSION_NUM >= 120000
 	pcxt = CreateParallelContext("vector", "IvfflatParallelBuildMain", request);
+#else
+	pcxt = CreateParallelContext("vector", "IvfflatParallelBuildMain", request, true);
+#endif
 
 	scantuplesortstates = leaderparticipates ? request + 1 : request;
 
@@ -864,7 +875,7 @@ IvfflatBeginParallel(IvfflatBuildState * buildstate, bool isconcurrent, int requ
 	shm_toc_estimate_chunk(&pcxt->estimator, estivfshared);
 	estsort = tuplesort_estimate_shared(scantuplesortstates);
 	shm_toc_estimate_chunk(&pcxt->estimator, estsort);
-	estcenters = buildstate->centers->itemsize * buildstate->centers->maxlen;
+	estcenters = VECTOR_SIZE(buildstate->dimensions) * buildstate->lists;
 	shm_toc_estimate_chunk(&pcxt->estimator, estcenters);
 	shm_toc_estimate_keys(&pcxt->estimator, 3);
 
@@ -907,16 +918,20 @@ IvfflatBeginParallel(IvfflatBuildState * buildstate, bool isconcurrent, int requ
 #ifdef IVFFLAT_KMEANS_DEBUG
 	ivfshared->inertia = 0;
 #endif
+#if PG_VERSION_NUM >= 120000
 	table_parallelscan_initialize(buildstate->heap,
 								  ParallelTableScanFromIvfflatShared(ivfshared),
 								  snapshot);
+#else
+	heap_parallelscan_initialize(&ivfshared->heapdesc, buildstate->heap, snapshot);
+#endif
 
 	/* Store shared tuplesort-private state, for which we reserved space */
 	sharedsort = (Sharedsort *) shm_toc_allocate(pcxt->toc, estsort);
 	tuplesort_initialize_shared(sharedsort, scantuplesortstates,
 								pcxt->seg);
 
-	ivfcenters = shm_toc_allocate(pcxt->toc, estcenters);
+	ivfcenters = (Vector *) shm_toc_allocate(pcxt->toc, estcenters);
 	memcpy(ivfcenters, buildstate->centers->items, estcenters);
 
 	shm_toc_insert(pcxt->toc, PARALLEL_KEY_IVFFLAT_SHARED, ivfshared);
@@ -974,7 +989,13 @@ AssignTuples(IvfflatBuildState * buildstate)
 	int			parallel_workers = 0;
 	SortCoordinate coordinate = NULL;
 
-	pgstat_progress_update_param(PROGRESS_CREATEIDX_SUBPHASE, PROGRESS_IVFFLAT_PHASE_ASSIGN);
+	/* Sort options, which must match IvfflatParallelScanAndSort */
+	AttrNumber	attNums[] = {1};
+	Oid			sortOperators[] = {Int4LessOperator};
+	Oid			sortCollations[] = {InvalidOid};
+	bool		nullsFirstFlags[] = {false};
+
+	UpdateProgress(PROGRESS_CREATEIDX_SUBPHASE, PROGRESS_IVFFLAT_PHASE_ASSIGN);
 
 	/* Calculate parallel workers */
 	if (buildstate->heap != NULL)
@@ -994,7 +1015,7 @@ AssignTuples(IvfflatBuildState * buildstate)
 	}
 
 	/* Begin serial/leader tuplesort */
-	buildstate->sortstate = InitBuildSortState(buildstate->sortdesc, maintenance_work_mem, coordinate);
+	buildstate->sortstate = tuplesort_begin_heap(buildstate->tupdesc, 1, attNums, sortOperators, sortCollations, nullsFirstFlags, maintenance_work_mem, coordinate, false);
 
 	/* Add tuples to sort */
 	if (buildstate->heap != NULL)
@@ -1002,8 +1023,15 @@ AssignTuples(IvfflatBuildState * buildstate)
 		if (buildstate->ivfleader)
 			buildstate->reltuples = ParallelHeapScan(buildstate);
 		else
+		{
+#if PG_VERSION_NUM >= 120000
 			buildstate->reltuples = table_index_build_scan(buildstate->heap, buildstate->index, buildstate->indexInfo,
 														   true, true, BuildCallback, (void *) buildstate, NULL);
+#else
+			buildstate->reltuples = IndexBuildHeapScan(buildstate->heap, buildstate->index, buildstate->indexInfo,
+													   true, BuildCallback, (void *) buildstate, NULL);
+#endif
+		}
 
 #ifdef IVFFLAT_KMEANS_DEBUG
 		PrintKmeansMetrics(buildstate);
@@ -1047,13 +1075,9 @@ BuildIndex(Relation heap, Relation index, IndexInfo *indexInfo,
 
 	/* Create pages */
 	CreateMetaPage(index, buildstate->dimensions, buildstate->lists, forkNum);
-	CreateListPages(index, buildstate->centers, buildstate->lists, forkNum, &buildstate->listInfo);
+	CreateListPages(index, buildstate->centers, buildstate->dimensions, buildstate->lists, forkNum, &buildstate->listInfo);
 	CreateEntryPages(buildstate, forkNum);
 
-	/* Write WAL for initialization fork since GenericXLog functions do not */
-	if (forkNum == INIT_FORKNUM)
-		log_newpage_range(index, forkNum, 0, RelationGetNumberOfBlocksInFork(index, forkNum), true);
-
 	FreeBuildState(buildstate);
 }
 
@@ -1066,10 +1090,6 @@ ivfflatbuild(Relation heap, Relation index, IndexInfo *indexInfo)
 	IndexBuildResult *result;
 	IvfflatBuildState buildstate;
 
-#ifdef IVFFLAT_BENCH
-	SeedRandom(42);
-#endif
-
 	BuildIndex(heap, index, indexInfo, &buildstate, MAIN_FORKNUM);
 
 	result = (IndexBuildResult *) palloc(sizeof(IndexBuildResult));

src/ivfflat.c

@@ -3,35 +3,19 @@
 #include <float.h>
 
 #include "access/amapi.h"
-#include "access/genam.h"
-#include "access/reloptions.h"
-#include "commands/progress.h"
 #include "commands/vacuum.h"
-#include "fmgr.h"
 #include "ivfflat.h"
-#include "nodes/pg_list.h"
-#include "utils/float.h"
 #include "utils/guc.h"
-#include "utils/relcache.h"
 #include "utils/selfuncs.h"
 #include "utils/spccache.h"
-#include "vector.h"
 
-#if PG_VERSION_NUM < 150000
+#if PG_VERSION_NUM >= 120000
-#define MarkGUCPrefixReserved(x) EmitWarningsOnPlaceholders(x)
+#include "commands/progress.h"
 #endif
 
 int			ivfflat_probes;
-int			ivfflat_iterative_scan;
-int			ivfflat_max_probes;
 static relopt_kind ivfflat_relopt_kind;
 
-static const struct config_enum_entry ivfflat_iterative_scan_options[] = {
-	{"off", IVFFLAT_ITERATIVE_SCAN_OFF, false},
-	{"relaxed_order", IVFFLAT_ITERATIVE_SCAN_RELAXED, false},
-	{NULL, 0, false}
-};
-
 /*
  * Initialize index options and variables
  */
@@ -40,27 +24,21 @@ IvfflatInit(void)
 {
 	ivfflat_relopt_kind = add_reloption_kind();
 	add_int_reloption(ivfflat_relopt_kind, "lists", "Number of inverted lists",
-					  IVFFLAT_DEFAULT_LISTS, IVFFLAT_MIN_LISTS, IVFFLAT_MAX_LISTS, AccessExclusiveLock);
+					  IVFFLAT_DEFAULT_LISTS, IVFFLAT_MIN_LISTS, IVFFLAT_MAX_LISTS
+#if PG_VERSION_NUM >= 130000
+					  ,AccessExclusiveLock
+#endif
+		);
 
 	DefineCustomIntVariable("ivfflat.probes", "Sets the number of probes",
 							"Valid range is 1..lists.", &ivfflat_probes,
 							IVFFLAT_DEFAULT_PROBES, IVFFLAT_MIN_LISTS, IVFFLAT_MAX_LISTS, PGC_USERSET, 0, NULL, NULL, NULL);
-
-	DefineCustomEnumVariable("ivfflat.iterative_scan", "Sets the mode for iterative scans",
-							 NULL, &ivfflat_iterative_scan,
-							 IVFFLAT_ITERATIVE_SCAN_OFF, ivfflat_iterative_scan_options, PGC_USERSET, 0, NULL, NULL, NULL);
-
-	/* If this is less than probes, probes is used */
-	DefineCustomIntVariable("ivfflat.max_probes", "Sets the max number of probes for iterative scans",
-							NULL, &ivfflat_max_probes,
-							IVFFLAT_MAX_LISTS, IVFFLAT_MIN_LISTS, IVFFLAT_MAX_LISTS, PGC_USERSET, 0, NULL, NULL, NULL);
-
-	MarkGUCPrefixReserved("ivfflat");
 }
 
 /*
  * Get the name of index build phase
  */
+#if PG_VERSION_NUM >= 120000
 static char *
 ivfflatbuildphasename(int64 phasenum)
 {
@@ -78,6 +56,7 @@ ivfflatbuildphasename(int64 phasenum)
 			return NULL;
 	}
 }
+#endif
 
 /*
  * Estimate the cost of an index scan
@@ -91,30 +70,25 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
 	GenericCosts costs;
 	int			lists;
 	double		ratio;
-	double		sequentialRatio = 0.5;
-	double		startupPages;
 	double		spc_seq_page_cost;
 	Relation	index;
+#if PG_VERSION_NUM < 120000
+	List	   *qinfos;
+#endif
 
 	/* Never use index without order */
-	if (path->indexorderbys == NIL)
+	if (path->indexorderbys == NULL)
 	{
-		*indexStartupCost = get_float8_infinity();
+		*indexStartupCost = DBL_MAX;
-		*indexTotalCost = get_float8_infinity();
+		*indexTotalCost = DBL_MAX;
 		*indexSelectivity = 0;
 		*indexCorrelation = 0;
 		*indexPages = 0;
-#if PG_VERSION_NUM >= 180000
-		/* See "On disable_cost" thread on pgsql-hackers */
-		path->path.disabled_nodes = 2;
-#endif
 		return;
 	}
 
 	MemSet(&costs, 0, sizeof(costs));
 
-	genericcostestimate(root, path, loop_count, &costs);
-
 	index = index_open(path->indexinfo->indexoid, NoLock);
 	IvfflatGetMetaPageInfo(index, &lists, NULL);
 	index_close(index, NoLock);
@@ -124,26 +98,46 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
 	if (ratio > 1.0)
 		ratio = 1.0;
 
+	/*
+	 * This gives us the subset of tuples to visit. This value is passed into
+	 * the generic cost estimator to determine the number of pages to visit
+	 * during the index scan.
+	 */
+	costs.numIndexTuples = path->indexinfo->tuples * ratio;
+
+#if PG_VERSION_NUM >= 120000
+	genericcostestimate(root, path, loop_count, &costs);
+#else
+	qinfos = deconstruct_indexquals(path);
+	genericcostestimate(root, path, loop_count, qinfos, &costs);
+#endif
+
 	get_tablespace_page_costs(path->indexinfo->reltablespace, NULL, &spc_seq_page_cost);
 
-	/* Change some page cost from random to sequential */
-	costs.indexTotalCost -= sequentialRatio * costs.numIndexPages * (costs.spc_random_page_cost - spc_seq_page_cost);
-
-	/* Startup cost is cost before returning the first row */
-	costs.indexStartupCost = costs.indexTotalCost * ratio;
-
 	/* Adjust cost if needed since TOAST not included in seq scan cost */
-	startupPages = costs.numIndexPages * ratio;
+	if (costs.numIndexPages > path->indexinfo->rel->pages && ratio < 0.5)
-	if (startupPages > path->indexinfo->rel->pages && ratio < 0.5)
 	{
-		/* Change rest of page cost from random to sequential */
+		/* Change all page cost from random to sequential */
-		costs.indexStartupCost -= (1 - sequentialRatio) * startupPages * (costs.spc_random_page_cost - spc_seq_page_cost);
+		costs.indexTotalCost -= costs.numIndexPages * (costs.spc_random_page_cost - spc_seq_page_cost);
 
 		/* Remove cost of extra pages */
-		costs.indexStartupCost -= (startupPages - path->indexinfo->rel->pages) * spc_seq_page_cost;
+		costs.indexTotalCost -= (costs.numIndexPages - path->indexinfo->rel->pages) * spc_seq_page_cost;
+	}
+	else
+	{
+		/* Change some page cost from random to sequential */
+		costs.indexTotalCost -= 0.5 * costs.numIndexPages * (costs.spc_random_page_cost - spc_seq_page_cost);
 	}
 
-	*indexStartupCost = costs.indexStartupCost;
+	/*
+	 * If the list selectivity is lower than what is returned from the generic
+	 * cost estimator, use that.
+	 */
+	if (ratio < costs.indexSelectivity)
+		costs.indexSelectivity = ratio;
+
+	/* Use total cost since most work happens before first tuple is returned */
+	*indexStartupCost = costs.indexTotalCost;
 	*indexTotalCost = costs.indexTotalCost;
 	*indexSelectivity = costs.indexSelectivity;
 	*indexCorrelation = costs.indexCorrelation;
@@ -160,10 +154,23 @@ ivfflatoptions(Datum reloptions, bool validate)
 		{"lists", RELOPT_TYPE_INT, offsetof(IvfflatOptions, lists)},
 	};
 
+#if PG_VERSION_NUM >= 130000
 	return (bytea *) build_reloptions(reloptions, validate,
 									  ivfflat_relopt_kind,
 									  sizeof(IvfflatOptions),
 									  tab, lengthof(tab));
+#else
+	relopt_value *options;
+	int			numoptions;
+	IvfflatOptions *rdopts;
+
+	options = parseRelOptions(reloptions, validate, ivfflat_relopt_kind, &numoptions);
+	rdopts = allocateReloptStruct(sizeof(IvfflatOptions), options, numoptions);
+	fillRelOptions((void *) rdopts, sizeof(IvfflatOptions), options, numoptions,
+				   validate, tab, lengthof(tab));
+
+	return (bytea *) rdopts;
+#endif
 }
 
 /*
@@ -180,80 +187,19 @@ ivfflatvalidate(Oid opclassoid)
  *
  * See https://www.postgresql.org/docs/current/index-api.html
  */
-FUNCTION_PREFIX PG_FUNCTION_INFO_V1(ivfflathandler);
+PGDLLEXPORT PG_FUNCTION_INFO_V1(ivfflathandler);
 Datum
 ivfflathandler(PG_FUNCTION_ARGS)
 {
-#if PG_VERSION_NUM >= 190000
-	static const IndexAmRoutine amroutine = {
-		.type = T_IndexAmRoutine,
-		.amstrategies = 0,
-		.amsupport = 5,
-		.amoptsprocnum = 0,
-		.amcanorder = false,
-		.amcanorderbyop = true,
-		.amcanhash = false,
-		.amconsistentequality = false,
-		.amconsistentordering = false,
-		.amcanbackward = false,
-		.amcanunique = false,
-		.amcanmulticol = false,
-		.amoptionalkey = true,
-		.amsearcharray = false,
-		.amsearchnulls = false,
-		.amstorage = false,
-		.amclusterable = false,
-		.ampredlocks = false,
-		.amcanparallel = false,
-		.amcanbuildparallel = true,
-		.amcaninclude = false,
-		.amusemaintenanceworkmem = false,
-		.amsummarizing = false,
-		.amparallelvacuumoptions = VACUUM_OPTION_PARALLEL_BULKDEL,
-		.amkeytype = InvalidOid,
-
-		.ambuild = ivfflatbuild,
-		.ambuildempty = ivfflatbuildempty,
-		.aminsert = ivfflatinsert,
-		.aminsertcleanup = NULL,
-		.ambulkdelete = ivfflatbulkdelete,
-		.amvacuumcleanup = ivfflatvacuumcleanup,
-		.amcanreturn = NULL,
-		.amcostestimate = ivfflatcostestimate,
-		.amgettreeheight = NULL,
-		.amoptions = ivfflatoptions,
-		.amproperty = NULL,
-		.ambuildphasename = ivfflatbuildphasename,
-		.amvalidate = ivfflatvalidate,
-		.amadjustmembers = NULL,
-		.ambeginscan = ivfflatbeginscan,
-		.amrescan = ivfflatrescan,
-		.amgettuple = ivfflatgettuple,
-		.amgetbitmap = NULL,
-		.amendscan = ivfflatendscan,
-		.ammarkpos = NULL,
-		.amrestrpos = NULL,
-		.amestimateparallelscan = NULL,
-		.aminitparallelscan = NULL,
-		.amparallelrescan = NULL,
-		.amtranslatestrategy = NULL,
-		.amtranslatecmptype = NULL,
-	};
-
-	PG_RETURN_POINTER(&amroutine);
-#else
 	IndexAmRoutine *amroutine = makeNode(IndexAmRoutine);
 
 	amroutine->amstrategies = 0;
-	amroutine->amsupport = 5;
+	amroutine->amsupport = 4;
+#if PG_VERSION_NUM >= 130000
 	amroutine->amoptsprocnum = 0;
+#endif
 	amroutine->amcanorder = false;
 	amroutine->amcanorderbyop = true;
-#if PG_VERSION_NUM >= 180000
-	amroutine->amcanhash = false;
-	amroutine->amconsistentequality = false;
-	amroutine->amconsistentordering = false;
-#endif
 	amroutine->amcanbackward = false;	/* can change direction mid-scan */
 	amroutine->amcanunique = false;
 	amroutine->amcanmulticol = false;
@@ -264,34 +210,26 @@ ivfflathandler(PG_FUNCTION_ARGS)
 	amroutine->amclusterable = false;
 	amroutine->ampredlocks = false;
 	amroutine->amcanparallel = false;
-#if PG_VERSION_NUM >= 170000
-	amroutine->amcanbuildparallel = true;
-#endif
 	amroutine->amcaninclude = false;
+#if PG_VERSION_NUM >= 130000
 	amroutine->amusemaintenanceworkmem = false; /* not used during VACUUM */
-#if PG_VERSION_NUM >= 160000
-	amroutine->amsummarizing = false;
-#endif
 	amroutine->amparallelvacuumoptions = VACUUM_OPTION_PARALLEL_BULKDEL;
+#endif
 	amroutine->amkeytype = InvalidOid;
 
 	/* Interface functions */
 	amroutine->ambuild = ivfflatbuild;
 	amroutine->ambuildempty = ivfflatbuildempty;
 	amroutine->aminsert = ivfflatinsert;
-#if PG_VERSION_NUM >= 170000
-	amroutine->aminsertcleanup = NULL;
-#endif
 	amroutine->ambulkdelete = ivfflatbulkdelete;
 	amroutine->amvacuumcleanup = ivfflatvacuumcleanup;
 	amroutine->amcanreturn = NULL;	/* tuple not included in heapsort */
 	amroutine->amcostestimate = ivfflatcostestimate;
-#if PG_VERSION_NUM >= 180000
-	amroutine->amgettreeheight = NULL;
-#endif
 	amroutine->amoptions = ivfflatoptions;
 	amroutine->amproperty = NULL;	/* TODO AMPROP_DISTANCE_ORDERABLE */
+#if PG_VERSION_NUM >= 120000
 	amroutine->ambuildphasename = ivfflatbuildphasename;
+#endif
 	amroutine->amvalidate = ivfflatvalidate;
 #if PG_VERSION_NUM >= 140000
 	amroutine->amadjustmembers = NULL;
@@ -309,11 +247,5 @@ ivfflathandler(PG_FUNCTION_ARGS)
 	amroutine->aminitparallelscan = NULL;
 	amroutine->amparallelrescan = NULL;
 
-#if PG_VERSION_NUM >= 180000
-	amroutine->amtranslatestrategy = NULL;
-	amroutine->amtranslatecmptype = NULL;
-#endif
-
 	PG_RETURN_POINTER(amroutine);
-#endif
 }

src/ivfflat.h

@@ -3,31 +3,25 @@
 
 #include "postgres.h"
 
-#include "access/genam.h"
 #include "access/generic_xlog.h"
 #include "access/parallel.h"
-#include "lib/pairingheap.h"
+#include "access/reloptions.h"
 #include "nodes/execnodes.h"
 #include "port.h"				/* for random() */
-#include "storage/condition_variable.h"
 #include "utils/sampling.h"
 #include "utils/tuplesort.h"
 #include "vector.h"
 
-#if PG_VERSION_NUM >= 160000
-#include "varatt.h"
-#endif
-
 #if PG_VERSION_NUM >= 150000
 #include "common/pg_prng.h"
 #endif
 
-#ifdef IVFFLAT_BENCH
+#if PG_VERSION_NUM < 120000
-#include "portability/instr_time.h"
+#include "access/relscan.h"
 #endif
 
-#if PG_VERSION_NUM >= 190000
+#ifdef IVFFLAT_BENCH
-typedef Pointer Item;
+#include "portability/instr_time.h"
 #endif
 
 #define IVFFLAT_MAX_DIM 2000
@@ -37,7 +31,6 @@ typedef Pointer Item;
 #define IVFFLAT_NORM_PROC 2
 #define IVFFLAT_KMEANS_DISTANCE_PROC 3
 #define IVFFLAT_KMEANS_NORM_PROC 4
-#define IVFFLAT_TYPE_INFO_PROC 5
 
 #define IVFFLAT_VERSION	1
 #define IVFFLAT_MAGIC_NUMBER 0x14FF1A7
@@ -59,7 +52,7 @@ typedef Pointer Item;
 #define PROGRESS_IVFFLAT_PHASE_ASSIGN	3
 #define PROGRESS_IVFFLAT_PHASE_LOAD		4
 
-#define IVFFLAT_LIST_SIZE(size)	(offsetof(IvfflatListData, center) + size)
+#define IVFFLAT_LIST_SIZE(_dim)	(offsetof(IvfflatListData, center) + VECTOR_SIZE(_dim))
 
 #define IvfflatPageGetOpaque(page)	((IvfflatPageOpaque) PageGetSpecialPointer(page))
 #define IvfflatPageGetMeta(page)	((IvfflatMetaPageData *) PageGetContents(page))
@@ -82,31 +75,20 @@ typedef Pointer Item;
 #if PG_VERSION_NUM >= 150000
 #define RandomDouble() pg_prng_double(&pg_global_prng_state)
 #define RandomInt() pg_prng_uint32(&pg_global_prng_state)
-#define SeedRandom(seed) pg_prng_seed(&pg_global_prng_state, seed)
 #else
 #define RandomDouble() (((double) random()) / MAX_RANDOM_VALUE)
 #define RandomInt() random()
-#define SeedRandom(seed) srandom(seed)
 #endif
 
 /* Variables */
 extern int	ivfflat_probes;
-extern int	ivfflat_iterative_scan;
-extern int	ivfflat_max_probes;
-
-typedef enum IvfflatIterativeScanMode
-{
-	IVFFLAT_ITERATIVE_SCAN_OFF,
-	IVFFLAT_ITERATIVE_SCAN_RELAXED
-}			IvfflatIterativeScanMode;
 
 typedef struct VectorArrayData
 {
 	int			length;
 	int			maxlen;
 	int			dim;
-	Size		itemsize;
+	Vector	   *items;
-	char	   *items;
 }			VectorArrayData;
 
 typedef VectorArrayData * VectorArray;
@@ -153,10 +135,16 @@ typedef struct IvfflatShared
 #ifdef IVFFLAT_KMEANS_DEBUG
 	double		inertia;
 #endif
+
+#if PG_VERSION_NUM < 120000
+	ParallelHeapScanDescData heapdesc;	/* must come last */
+#endif
 }			IvfflatShared;
 
+#if PG_VERSION_NUM >= 120000
 #define ParallelTableScanFromIvfflatShared(shared) \
 	(ParallelTableScanDesc) ((char *) (shared) + BUFFERALIGN(sizeof(IvfflatShared)))
+#endif
 
 typedef struct IvfflatLeader
 {
@@ -165,26 +153,15 @@ typedef struct IvfflatLeader
 	IvfflatShared *ivfshared;
 	Sharedsort *sharedsort;
 	Snapshot	snapshot;
-	char	   *ivfcenters;
+	Vector	   *ivfcenters;
 }			IvfflatLeader;
 
-typedef struct IvfflatTypeInfo
-{
-	int			maxDimensions;
-	Datum		(*normalize) (PG_FUNCTION_ARGS);
-	Size		(*itemSize) (int dimensions);
-	void		(*updateCenter) (Pointer v, int dimensions, float *x);
-	void		(*sumCenter) (Pointer v, float *x);
-}			IvfflatTypeInfo;
-
 typedef struct IvfflatBuildState
 {
 	/* Info */
 	Relation	heap;
 	Relation	index;
 	IndexInfo  *indexInfo;
-	const		IvfflatTypeInfo *typeInfo;
-	TupleDesc	tupdesc;
 
 	/* Settings */
 	int			dimensions;
@@ -204,7 +181,7 @@ typedef struct IvfflatBuildState
 	VectorArray samples;
 	VectorArray centers;
 	ListInfo   *listInfo;
-	Size		itemsize;
+	Vector	   *normvec;
 
 #ifdef IVFFLAT_KMEANS_DEBUG
 	double		inertia;
@@ -215,16 +192,14 @@ typedef struct IvfflatBuildState
 	/* Sampling */
 	BlockSamplerData bs;
 	ReservoirStateData rstate;
-	double		samplerows;
+	int			rowstoskip;
-	double		rowstoskip;
 
 	/* Sorting */
 	Tuplesortstate *sortstate;
-	TupleDesc	sortdesc;
+	TupleDesc	tupdesc;
 	TupleTableSlot *slot;
 
 	/* Memory */
-	Size		memoryUsed;
 	MemoryContext tmpCtx;
 
 	/* Parallel builds */
@@ -268,69 +243,40 @@ typedef struct IvfflatScanList
 
 typedef struct IvfflatScanOpaqueData
 {
-	const		IvfflatTypeInfo *typeInfo;
 	int			probes;
-	int			maxProbes;
 	int			dimensions;
 	bool		first;
-	Datum		value;
-	MemoryContext tmpCtx;
 
 	/* Sorting */
 	Tuplesortstate *sortstate;
 	TupleDesc	tupdesc;
-	TupleTableSlot *vslot;
+	TupleTableSlot *slot;
-	TupleTableSlot *mslot;
+	bool		isnull;
-	BufferAccessStrategy bas;
 
 	/* Support functions */
 	FmgrInfo   *procinfo;
 	FmgrInfo   *normprocinfo;
 	Oid			collation;
-	Datum		(*distfunc) (FmgrInfo *flinfo, Oid collation, Datum arg1, Datum arg2);
 
 	/* Lists */
 	pairingheap *listQueue;
-	BlockNumber *listPages;
+	IvfflatScanList lists[FLEXIBLE_ARRAY_MEMBER];	/* must come last */
-	int			listIndex;
-	IvfflatScanList *lists;
 }			IvfflatScanOpaqueData;
 
 typedef IvfflatScanOpaqueData * IvfflatScanOpaque;
 
-#define VECTOR_ARRAY_SIZE(_length, _size) (sizeof(VectorArrayData) + (_length) * MAXALIGN(_size))
+#define VECTOR_ARRAY_SIZE(_length, _dim) (sizeof(VectorArrayData) + (_length) * VECTOR_SIZE(_dim))
-
+#define VECTOR_ARRAY_OFFSET(_arr, _offset) ((char*) (_arr)->items + (_offset) * VECTOR_SIZE((_arr)->dim))
-/* Use functions instead of macros to avoid double evaluation */
+#define VectorArrayGet(_arr, _offset) ((Vector *) VECTOR_ARRAY_OFFSET(_arr, _offset))
-
+#define VectorArraySet(_arr, _offset, _val) memcpy(VECTOR_ARRAY_OFFSET(_arr, _offset), _val, VECTOR_SIZE((_arr)->dim))
-static inline Pointer
-VectorArrayGet(VectorArray arr, int offset)
-{
-	if (offset >= arr->maxlen)
-		elog(ERROR, "safety check failed");
-
-	return ((char *) arr->items) + (offset * arr->itemsize);
-}
-
-static inline void
-VectorArraySet(VectorArray arr, int offset, Pointer val)
-{
-	Size		size = VARSIZE_ANY(val);
-
-	if (size > arr->itemsize)
-		elog(ERROR, "safety check failed");
-
-	memcpy(VectorArrayGet(arr, offset), val, size);
-}
 
 /* Methods */
-VectorArray VectorArrayInit(int maxlen, int dimensions, Size itemsize);
+VectorArray VectorArrayInit(int maxlen, int dimensions);
 void		VectorArrayFree(VectorArray arr);
-void		IvfflatKmeans(Relation index, VectorArray samples, VectorArray centers, const IvfflatTypeInfo * typeInfo, Size memoryUsed);
+void		PrintVectorArray(char *msg, VectorArray arr);
+void		IvfflatKmeans(Relation index, VectorArray samples, VectorArray centers);
 FmgrInfo   *IvfflatOptionalProcInfo(Relation index, uint16 procnum);
-Datum		IvfflatNormValue(const IvfflatTypeInfo * typeInfo, Oid collation, Datum value);
+bool		IvfflatNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result);
-bool		IvfflatCheckNorm(FmgrInfo *procinfo, Oid collation, Datum value);
-void		IvfflatNormVectors(const IvfflatTypeInfo * typeInfo, Oid collation, VectorArray arr, MemoryContext tmpCtx);
-void		IvfflatCheckMemoryUsage(Size totalSize);
 int			IvfflatGetLists(Relation index);
 void		IvfflatGetMetaPageInfo(Relation index, int *lists, int *dimensions);
 void		IvfflatUpdateList(Relation index, ListInfo listInfo, BlockNumber insertPage, BlockNumber originalInsertPage, BlockNumber startPage, ForkNumber forkNum);
@@ -340,7 +286,6 @@ Buffer		IvfflatNewBuffer(Relation index, ForkNumber forkNum);
 void		IvfflatInitPage(Buffer buf, Page page);
 void		IvfflatInitRegisterPage(Relation index, Buffer *buf, Page *page, GenericXLogState **state);
 void		IvfflatInit(void);
-const		IvfflatTypeInfo *IvfflatGetTypeInfo(Relation index);
 PGDLLEXPORT void IvfflatParallelBuildMain(dsm_segment *seg, shm_toc *toc);
 
 /* Index access methods */

src/ivfinsert.c

@@ -2,16 +2,10 @@
 
 #include <float.h>
 
-#include "access/genam.h"
-#include "access/generic_xlog.h"
-#include "access/itup.h"
-#include "fmgr.h"
 #include "ivfflat.h"
-#include "nodes/execnodes.h"
 #include "storage/bufmgr.h"
 #include "storage/lmgr.h"
 #include "utils/memutils.h"
-#include "utils/rel.h"
 
 /*
  * Find the list that minimizes the distance function
@@ -70,9 +64,8 @@ FindInsertPage(Relation index, Datum *values, BlockNumber *insertPage, ListInfo
  * Insert a tuple into the index
  */
 static void
-InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid)
+InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel)
 {
-	const		IvfflatTypeInfo *typeInfo = IvfflatGetTypeInfo(index);
 	IndexTuple	itup;
 	Datum		value;
 	FmgrInfo   *normprocinfo;
@@ -91,19 +84,12 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid)
 	normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC);
 	if (normprocinfo != NULL)
 	{
-		Oid			collation = index->rd_indcollation[0];
+		if (!IvfflatNormValue(normprocinfo, index->rd_indcollation[0], &value, NULL))
-
-		if (!IvfflatCheckNorm(normprocinfo, collation, value))
 			return;
-
-		value = IvfflatNormValue(typeInfo, collation, value);
 	}
 
-	/* Ensure index is valid */
-	IvfflatGetMetaPageInfo(index, NULL, NULL);
-
 	/* Find the insert page - sets the page and list info */
-	FindInsertPage(index, &value, &insertPage, &listInfo);
+	FindInsertPage(index, values, &insertPage, &listInfo);
 	Assert(BlockNumberIsValid(insertPage));
 	originalInsertPage = insertPage;
 
@@ -209,7 +195,7 @@ ivfflatinsert(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid,
 	oldCtx = MemoryContextSwitchTo(insertCtx);
 
 	/* Insert tuple */
-	InsertTuple(index, values, isnull, heap_tid);
+	InsertTuple(index, values, isnull, heap_tid, heap);
 
 	/* Delete memory context */
 	MemoryContextSwitchTo(oldCtx);

src/ivfkmeans.c

@@ -1,19 +1,10 @@
 #include "postgres.h"
 
 #include <float.h>
-#include <limits.h>
 #include <math.h>
 
-#include "access/genam.h"
-#include "fmgr.h"
 #include "ivfflat.h"
 #include "miscadmin.h"
-#include "utils/memutils.h"
-#include "utils/relcache.h"
-
-#if PG_VERSION_NUM >= 160000
-#include "varatt.h"
-#endif
 
 /*
  * Initialize with kmeans++
@@ -51,12 +42,12 @@ InitCenters(Relation index, VectorArray samples, VectorArray centers, float *low
 
 		for (j = 0; j < numSamples; j++)
 		{
-			Datum		vec = PointerGetDatum(VectorArrayGet(samples, j));
+			Vector	   *vec = VectorArrayGet(samples, j);
 			double		distance;
 
 			/* Only need to compute distance for new center */
 			/* TODO Use triangle inequality to reduce distance calculations */
-			distance = DatumGetFloat8(FunctionCall2Coll(procinfo, collation, vec, PointerGetDatum(VectorArrayGet(centers, i))));
+			distance = DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(vec), PointerGetDatum(VectorArrayGet(centers, i))));
 
 			/* Set lower bound */
 			lowerBound[j * numCenters + i] = distance;
@@ -91,148 +82,73 @@ InitCenters(Relation index, VectorArray samples, VectorArray centers, float *low
 }
 
 /*
- * Norm centers
+ * Apply norm to vector
  */
-static void
+static inline void
-NormCenters(const IvfflatTypeInfo * typeInfo, Oid collation, VectorArray centers)
+ApplyNorm(FmgrInfo *normprocinfo, Oid collation, Vector * vec)
 {
-	MemoryContext normCtx = AllocSetContextCreate(CurrentMemoryContext,
+	double		norm = DatumGetFloat8(FunctionCall1Coll(normprocinfo, collation, PointerGetDatum(vec)));
-												  "Ivfflat norm temporary context",
-												  ALLOCSET_DEFAULT_SIZES);
 
-	IvfflatNormVectors(typeInfo, collation, centers, normCtx);
+	/* TODO Handle zero norm */
-	MemoryContextDelete(normCtx);
+	if (norm > 0)
+	{
+		for (int i = 0; i < vec->dim; i++)
+			vec->x[i] /= norm;
+	}
 }
 
 /*
- * Quick approach if we have no data
+ * Compare vectors
+ */
+static int
+CompareVectors(const void *a, const void *b)
+{
+	return vector_cmp_internal((Vector *) a, (Vector *) b);
+}
+
+/*
+ * Quick approach if we have little data
  */
 static void
-RandomCenters(Relation index, VectorArray centers, const IvfflatTypeInfo * typeInfo)
+QuickCenters(Relation index, VectorArray samples, VectorArray centers)
 {
 	int			dimensions = centers->dim;
-	FmgrInfo   *normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_KMEANS_NORM_PROC);
 	Oid			collation = index->rd_indcollation[0];
-	float	   *x = (float *) palloc(sizeof(float) * dimensions);
+	FmgrInfo   *normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_KMEANS_NORM_PROC);
 
-	/* Fill with random data */
+	/* Copy existing vectors while avoiding duplicates */
+	if (samples->length > 0)
+	{
+		qsort(samples->items, samples->length, VECTOR_SIZE(samples->dim), CompareVectors);
+		for (int i = 0; i < samples->length; i++)
+		{
+			Vector	   *vec = VectorArrayGet(samples, i);
+
+			if (i == 0 || CompareVectors(vec, VectorArrayGet(samples, i - 1)) != 0)
+			{
+				VectorArraySet(centers, centers->length, vec);
+				centers->length++;
+			}
+		}
+	}
+
+	/* Fill remaining with random data */
 	while (centers->length < centers->maxlen)
 	{
-		Pointer		center = VectorArrayGet(centers, centers->length);
+		Vector	   *vec = VectorArrayGet(centers, centers->length);
 
-		for (int i = 0; i < dimensions; i++)
+		SET_VARSIZE(vec, VECTOR_SIZE(dimensions));
-			x[i] = (float) RandomDouble();
+		vec->dim = dimensions;
 
-		typeInfo->updateCenter(center, dimensions, x);
+		for (int j = 0; j < dimensions; j++)
+			vec->x[j] = RandomDouble();
+
+		/* Normalize if needed (only needed for random centers) */
+		if (normprocinfo != NULL)
+			ApplyNorm(normprocinfo, collation, vec);
 
 		centers->length++;
 	}
-
-	if (normprocinfo != NULL)
-		NormCenters(typeInfo, collation, centers);
-}
-
-#ifdef IVFFLAT_MEMORY
-/*
- * Show memory usage
- */
-static void
-ShowMemoryUsage(MemoryContext context, Size estimatedSize)
-{
-	elog(INFO, "total memory: %zu MB",
-		 MemoryContextMemAllocated(context, true) / (1024 * 1024));
-	elog(INFO, "estimated memory: %zu MB", estimatedSize / (1024 * 1024));
-}
-#endif
-
-/*
- * Sum centers
- */
-static void
-SumCenters(VectorArray samples, float *agg, int *closestCenters, const IvfflatTypeInfo * typeInfo)
-{
-	for (int j = 0; j < samples->length; j++)
-	{
-		float	   *x = agg + ((int64) closestCenters[j] * samples->dim);
-
-		typeInfo->sumCenter(VectorArrayGet(samples, j), x);
-	}
-}
-
-/*
- * Update centers
- */
-static void
-UpdateCenters(float *agg, VectorArray centers, const IvfflatTypeInfo * typeInfo)
-{
-	for (int j = 0; j < centers->length; j++)
-	{
-		float	   *x = agg + ((int64) j * centers->dim);
-
-		typeInfo->updateCenter(VectorArrayGet(centers, j), centers->dim, x);
-	}
-}
-
-/*
- * Compute new centers
- */
-static void
-ComputeNewCenters(VectorArray samples, float *agg, VectorArray newCenters, int *centerCounts, int *closestCenters, FmgrInfo *normprocinfo, Oid collation, const IvfflatTypeInfo * typeInfo)
-{
-	int			dimensions = newCenters->dim;
-	int			numCenters = newCenters->length;
-	int			numSamples = samples->length;
-
-	/* Reset sum and count */
-	for (int j = 0; j < numCenters; j++)
-	{
-		float	   *x = agg + ((int64) j * dimensions);
-
-		for (int k = 0; k < dimensions; k++)
-			x[k] = 0.0;
-
-		centerCounts[j] = 0;
-	}
-
-	/* Increment sum of closest center */
-	SumCenters(samples, agg, closestCenters, typeInfo);
-
-	/* Increment count of closest center */
-	for (int j = 0; j < numSamples; j++)
-		centerCounts[closestCenters[j]] += 1;
-
-	/* Divide sum by count */
-	for (int j = 0; j < numCenters; j++)
-	{
-		float	   *x = agg + ((int64) j * dimensions);
-
-		if (centerCounts[j] > 0)
-		{
-			/* Double avoids overflow, but requires more memory */
-			/* TODO Update bounds */
-			for (int k = 0; k < dimensions; k++)
-			{
-				if (isinf(x[k]))
-					x[k] = x[k] > 0 ? FLT_MAX : -FLT_MAX;
-			}
-
-			for (int k = 0; k < dimensions; k++)
-				x[k] /= centerCounts[j];
-		}
-		else
-		{
-			/* TODO Handle empty centers properly */
-			for (int k = 0; k < dimensions; k++)
-				x[k] = RandomDouble();
-		}
-	}
-
-	/* Set new centers */
-	UpdateCenters(agg, newCenters, typeInfo);
-
-	/* Normalize if needed */
-	if (normprocinfo != NULL)
-		NormCenters(typeInfo, collation, newCenters);
 }
 
 /*
@@ -244,16 +160,19 @@ ComputeNewCenters(VectorArray samples, float *agg, VectorArray newCenters, int *
  * https://www.aaai.org/Papers/ICML/2003/ICML03-022.pdf
  */
 static void
-ElkanKmeans(Relation index, VectorArray samples, VectorArray centers, const IvfflatTypeInfo * typeInfo, Size memoryUsed)
+ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
 {
 	FmgrInfo   *procinfo;
 	FmgrInfo   *normprocinfo;
 	Oid			collation;
+	Vector	   *vec;
+	Vector	   *newCenter;
+	int64		j;
+	int64		k;
 	int			dimensions = centers->dim;
 	int			numCenters = centers->maxlen;
 	int			numSamples = samples->length;
 	VectorArray newCenters;
-	float	   *agg;
 	int		   *centerCounts;
 	int		   *closestCenters;
 	float	   *lowerBound;
@@ -263,8 +182,9 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers, const Ivff
 	float	   *newcdist;
 
 	/* Calculate allocation sizes */
-	Size		newCentersSize = VECTOR_ARRAY_SIZE(numCenters, centers->itemsize);
+	Size		samplesSize = VECTOR_ARRAY_SIZE(samples->maxlen, samples->dim);
-	Size		aggSize = sizeof(float) * (int64) numCenters * dimensions;
+	Size		centersSize = VECTOR_ARRAY_SIZE(centers->maxlen, centers->dim);
+	Size		newCentersSize = VECTOR_ARRAY_SIZE(numCenters, dimensions);
 	Size		centerCountsSize = sizeof(int) * numCenters;
 	Size		closestCentersSize = sizeof(int) * numSamples;
 	Size		lowerBoundSize = sizeof(float) * numSamples * numCenters;
@@ -274,13 +194,18 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers, const Ivff
 	Size		newcdistSize = sizeof(float) * numCenters;
 
 	/* Calculate total size */
-	Size		totalSize = memoryUsed + newCentersSize + aggSize + centerCountsSize + closestCentersSize + lowerBoundSize + upperBoundSize + sSize + halfcdistSize + newcdistSize;
+	Size		totalSize = samplesSize + centersSize + newCentersSize + centerCountsSize + closestCentersSize + lowerBoundSize + upperBoundSize + sSize + halfcdistSize + newcdistSize;
 
 	/* Check memory requirements */
-	IvfflatCheckMemoryUsage(totalSize);
+	/* Add one to error message to ceil */
+	if (totalSize > (Size) maintenance_work_mem * 1024L)
+		ereport(ERROR,
+				(errcode(ERRCODE_PROGRAM_LIMIT_EXCEEDED),
+				 errmsg("memory required is %zu MB, maintenance_work_mem is %d MB",
+						totalSize / (1024 * 1024) + 1, maintenance_work_mem / 1024)));
 
 	/* Ensure indexing does not overflow */
-	if (numCenters > INT_MAX / numCenters)
+	if (numCenters * numCenters > INT_MAX)
 		elog(ERROR, "Indexing overflow detected. Please report a bug.");
 
 	/* Set support functions */
@@ -290,7 +215,6 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers, const Ivff
 
 	/* Allocate space */
 	/* Use float instead of double to save memory */
-	agg = palloc(aggSize);
 	centerCounts = palloc(centerCountsSize);
 	closestCenters = palloc(closestCentersSize);
 	lowerBound = palloc_extended(lowerBoundSize, MCXT_ALLOC_HUGE);
@@ -299,25 +223,25 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers, const Ivff
 	halfcdist = palloc_extended(halfcdistSize, MCXT_ALLOC_HUGE);
 	newcdist = palloc(newcdistSize);
 
-	/* Initialize new centers */
+	newCenters = VectorArrayInit(numCenters, dimensions);
-	newCenters = VectorArrayInit(numCenters, dimensions, centers->itemsize);
+	for (j = 0; j < numCenters; j++)
-	newCenters->length = numCenters;
+	{
-
+		vec = VectorArrayGet(newCenters, j);
-#ifdef IVFFLAT_MEMORY
+		SET_VARSIZE(vec, VECTOR_SIZE(dimensions));
-	ShowMemoryUsage(MemoryContextGetParent(CurrentMemoryContext), totalSize);
+		vec->dim = dimensions;
-#endif
+	}
 
 	/* Pick initial centers */
 	InitCenters(index, samples, centers, lowerBound);
 
 	/* Assign each x to its closest initial center c(x) = argmin d(x,c) */
-	for (int64 j = 0; j < numSamples; j++)
+	for (j = 0; j < numSamples; j++)
 	{
 		float		minDistance = FLT_MAX;
 		int			closestCenter = 0;
 
 		/* Find closest center */
-		for (int64 k = 0; k < numCenters; k++)
+		for (k = 0; k < numCenters; k++)
 		{
 			/* TODO Use Lemma 1 in k-means++ initialization */
 			float		distance = lowerBound[j * numCenters + k];
@@ -343,13 +267,13 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers, const Ivff
 		CHECK_FOR_INTERRUPTS();
 
 		/* Step 1: For all centers, compute distance */
-		for (int64 j = 0; j < numCenters; j++)
+		for (j = 0; j < numCenters; j++)
 		{
-			Datum		vec = PointerGetDatum(VectorArrayGet(centers, j));
+			vec = VectorArrayGet(centers, j);
 
-			for (int64 k = j + 1; k < numCenters; k++)
+			for (k = j + 1; k < numCenters; k++)
 			{
-				float		distance = 0.5 * DatumGetFloat8(FunctionCall2Coll(procinfo, collation, vec, PointerGetDatum(VectorArrayGet(centers, k))));
+				float		distance = 0.5 * DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(vec), PointerGetDatum(VectorArrayGet(centers, k))));
 
 				halfcdist[j * numCenters + k] = distance;
 				halfcdist[k * numCenters + j] = distance;
@@ -357,11 +281,11 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers, const Ivff
 		}
 
 		/* For all centers c, compute s(c) */
-		for (int64 j = 0; j < numCenters; j++)
+		for (j = 0; j < numCenters; j++)
 		{
 			float		minDistance = FLT_MAX;
 
-			for (int64 k = 0; k < numCenters; k++)
+			for (k = 0; k < numCenters; k++)
 			{
 				float		distance;
 
@@ -378,7 +302,7 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers, const Ivff
 
 		rjreset = iteration != 0;
 
-		for (int64 j = 0; j < numSamples; j++)
+		for (j = 0; j < numSamples; j++)
 		{
 			bool		rj;
 
@@ -388,9 +312,8 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers, const Ivff
 
 			rj = rjreset;
 
-			for (int64 k = 0; k < numCenters; k++)
+			for (k = 0; k < numCenters; k++)
 			{
-				Datum		vec;
 				float		dxcx;
 
 				/* Step 3: For all remaining points x and centers c */
@@ -403,12 +326,12 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers, const Ivff
 				if (upperBound[j] <= halfcdist[closestCenters[j] * numCenters + k])
 					continue;
 
-				vec = PointerGetDatum(VectorArrayGet(samples, j));
+				vec = VectorArrayGet(samples, j);
 
 				/* Step 3a */
 				if (rj)
 				{
-					dxcx = DatumGetFloat8(FunctionCall2Coll(procinfo, collation, vec, PointerGetDatum(VectorArrayGet(centers, closestCenters[j]))));
+					dxcx = DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(vec), PointerGetDatum(VectorArrayGet(centers, closestCenters[j]))));
 
 					/* d(x,c(x)) computed, which is a form of d(x,c) */
 					lowerBound[j * numCenters + closestCenters[j]] = dxcx;
@@ -422,7 +345,7 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers, const Ivff
 				/* Step 3b */
 				if (dxcx > lowerBound[j * numCenters + k] || dxcx > halfcdist[closestCenters[j] * numCenters + k])
 				{
-					float		dxc = DatumGetFloat8(FunctionCall2Coll(procinfo, collation, vec, PointerGetDatum(VectorArrayGet(centers, k))));
+					float		dxc = DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(vec), PointerGetDatum(VectorArrayGet(centers, k))));
 
 					/* d(x,c) calculated */
 					lowerBound[j * numCenters + k] = dxc;
@@ -441,15 +364,66 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers, const Ivff
 		}
 
 		/* Step 4: For each center c, let m(c) be mean of all points assigned */
-		ComputeNewCenters(samples, agg, newCenters, centerCounts, closestCenters, normprocinfo, collation, typeInfo);
+		for (j = 0; j < numCenters; j++)
+		{
+			vec = VectorArrayGet(newCenters, j);
+			for (k = 0; k < dimensions; k++)
+				vec->x[k] = 0.0;
+
+			centerCounts[j] = 0;
+		}
+
+		for (j = 0; j < numSamples; j++)
+		{
+			int			closestCenter;
+
+			vec = VectorArrayGet(samples, j);
+			closestCenter = closestCenters[j];
+
+			/* Increment sum and count of closest center */
+			newCenter = VectorArrayGet(newCenters, closestCenter);
+			for (k = 0; k < dimensions; k++)
+				newCenter->x[k] += vec->x[k];
+
+			centerCounts[closestCenter] += 1;
+		}
+
+		for (j = 0; j < numCenters; j++)
+		{
+			vec = VectorArrayGet(newCenters, j);
+
+			if (centerCounts[j] > 0)
+			{
+				/* Double avoids overflow, but requires more memory */
+				/* TODO Update bounds */
+				for (k = 0; k < dimensions; k++)
+				{
+					if (isinf(vec->x[k]))
+						vec->x[k] = vec->x[k] > 0 ? FLT_MAX : -FLT_MAX;
+				}
+
+				for (k = 0; k < dimensions; k++)
+					vec->x[k] /= centerCounts[j];
+			}
+			else
+			{
+				/* TODO Handle empty centers properly */
+				for (k = 0; k < dimensions; k++)
+					vec->x[k] = RandomDouble();
+			}
+
+			/* Normalize if needed */
+			if (normprocinfo != NULL)
+				ApplyNorm(normprocinfo, collation, vec);
+		}
 
 		/* Step 5 */
-		for (int j = 0; j < numCenters; j++)
+		for (j = 0; j < numCenters; j++)
 			newcdist[j] = DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(VectorArrayGet(centers, j)), PointerGetDatum(VectorArrayGet(newCenters, j))));
 
-		for (int64 j = 0; j < numSamples; j++)
+		for (j = 0; j < numSamples; j++)
 		{
-			for (int64 k = 0; k < numCenters; k++)
+			for (k = 0; k < numCenters; k++)
 			{
 				float		distance = lowerBound[j * numCenters + k] - newcdist[k];
 
@@ -462,78 +436,77 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers, const Ivff
 
 		/* Step 6 */
 		/* We reset r(x) before Step 3 in the next iteration */
-		for (int j = 0; j < numSamples; j++)
+		for (j = 0; j < numSamples; j++)
 			upperBound[j] += newcdist[closestCenters[j]];
 
 		/* Step 7 */
-		for (int j = 0; j < numCenters; j++)
+		for (j = 0; j < numCenters; j++)
 			VectorArraySet(centers, j, VectorArrayGet(newCenters, j));
 
 		if (changes == 0 && iteration != 0)
 			break;
 	}
-}
 
-/*
+	VectorArrayFree(newCenters);
- * Ensure no NaN or infinite values
+	pfree(centerCounts);
- */
+	pfree(closestCenters);
-static void
+	pfree(lowerBound);
-CheckElements(VectorArray centers, const IvfflatTypeInfo * typeInfo)
+	pfree(upperBound);
-{
+	pfree(s);
-	float	   *scratch = palloc(sizeof(float) * centers->dim);
+	pfree(halfcdist);
-
+	pfree(newcdist);
-	for (int i = 0; i < centers->length; i++)
-	{
-		for (int j = 0; j < centers->dim; j++)
-			scratch[j] = 0;
-
-		/* /fp:fast may not propagate NaN with MSVC, but that's alright */
-		typeInfo->sumCenter(VectorArrayGet(centers, i), scratch);
-
-		for (int j = 0; j < centers->dim; j++)
-		{
-			if (isnan(scratch[j]))
-				elog(ERROR, "NaN detected. Please report a bug.");
-
-			if (isinf(scratch[j]))
-				elog(ERROR, "Infinite value detected. Please report a bug.");
-		}
-	}
-}
-
-/*
- * Ensure no zero vectors for cosine distance
- */
-static void
-CheckNorms(VectorArray centers, Relation index)
-{
-	/* Check NORM_PROC instead of KMEANS_NORM_PROC */
-	FmgrInfo   *normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC);
-	Oid			collation = index->rd_indcollation[0];
-
-	if (normprocinfo == NULL)
-		return;
-
-	for (int i = 0; i < centers->length; i++)
-	{
-		double		norm = DatumGetFloat8(FunctionCall1Coll(normprocinfo, collation, PointerGetDatum(VectorArrayGet(centers, i))));
-
-		if (norm == 0)
-			elog(ERROR, "Zero norm detected. Please report a bug.");
-	}
 }
 
 /*
  * Detect issues with centers
  */
 static void
-CheckCenters(Relation index, VectorArray centers, const IvfflatTypeInfo * typeInfo)
+CheckCenters(Relation index, VectorArray centers)
 {
+	FmgrInfo   *normprocinfo;
+
 	if (centers->length != centers->maxlen)
 		elog(ERROR, "Not enough centers. Please report a bug.");
 
-	CheckElements(centers, typeInfo);
+	/* Ensure no NaN or infinite values */
-	CheckNorms(centers, index);
+	for (int i = 0; i < centers->length; i++)
+	{
+		Vector	   *vec = VectorArrayGet(centers, i);
+
+		for (int j = 0; j < vec->dim; j++)
+		{
+			if (isnan(vec->x[j]))
+				elog(ERROR, "NaN detected. Please report a bug.");
+
+			if (isinf(vec->x[j]))
+				elog(ERROR, "Infinite value detected. Please report a bug.");
+		}
+	}
+
+	/* Ensure no duplicate centers */
+	/* Fine to sort in-place */
+	qsort(centers->items, centers->length, VECTOR_SIZE(centers->dim), CompareVectors);
+	for (int i = 1; i < centers->length; i++)
+	{
+		if (CompareVectors(VectorArrayGet(centers, i), VectorArrayGet(centers, i - 1)) == 0)
+			elog(ERROR, "Duplicate centers detected. Please report a bug.");
+	}
+
+	/* Ensure no zero vectors for cosine distance */
+	/* Check NORM_PROC instead of KMEANS_NORM_PROC */
+	normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC);
+	if (normprocinfo != NULL)
+	{
+		Oid			collation = index->rd_indcollation[0];
+
+		for (int i = 0; i < centers->length; i++)
+		{
+			double		norm = DatumGetFloat8(FunctionCall1Coll(normprocinfo, collation, PointerGetDatum(VectorArrayGet(centers, i))));
+
+			if (norm == 0)
+				elog(ERROR, "Zero norm detected. Please report a bug.");
+		}
+	}
 }
 
 /*
@@ -541,20 +514,12 @@ CheckCenters(Relation index, VectorArray centers, const IvfflatTypeInfo * typeIn
  * We use spherical k-means for inner product and cosine
  */
 void
-IvfflatKmeans(Relation index, VectorArray samples, VectorArray centers, const IvfflatTypeInfo * typeInfo, Size memoryUsed)
+IvfflatKmeans(Relation index, VectorArray samples, VectorArray centers)
 {
-	MemoryContext kmeansCtx = AllocSetContextCreate(CurrentMemoryContext,
+	if (samples->length <= centers->maxlen)
-													"Ivfflat kmeans temporary context",
+		QuickCenters(index, samples, centers);
-													ALLOCSET_DEFAULT_SIZES);
-	MemoryContext oldCtx = MemoryContextSwitchTo(kmeansCtx);
-
-	if (samples->length == 0)
-		RandomCenters(index, centers, typeInfo);
 	else
-		ElkanKmeans(index, samples, centers, typeInfo, memoryUsed);
+		ElkanKmeans(index, samples, centers);
 
-	CheckCenters(index, centers, typeInfo);
+	CheckCenters(index, centers);
-
-	MemoryContextSwitchTo(oldCtx);
-	MemoryContextDelete(kmeansCtx);
 }

src/ivfscan.c

@@ -2,29 +2,13 @@
 
 #include <float.h>
 
-#include "access/genam.h"
-#include "access/itup.h"
 #include "access/relscan.h"
-#include "access/tupdesc.h"
 #include "catalog/pg_operator_d.h"
 #include "catalog/pg_type_d.h"
-#include "fmgr.h"
-#include "lib/pairingheap.h"
 #include "ivfflat.h"
 #include "miscadmin.h"
 #include "pgstat.h"
 #include "storage/bufmgr.h"
-#include "utils/memutils.h"
-#include "utils/rel.h"
-#include "utils/snapmgr.h"
-#include "utils/tuplesort.h"
-
-#if PG_VERSION_NUM >= 160000
-#include "varatt.h"
-#endif
-
-#define GetScanList(ptr) pairingheap_container(IvfflatScanList, ph_node, ptr)
-#define GetScanListConst(ptr) pairingheap_const_container(IvfflatScanList, ph_node, ptr)
 
 /*
  * Compare list distances
@@ -32,10 +16,10 @@
 static int
 CompareLists(const pairingheap_node *a, const pairingheap_node *b, void *arg)
 {
-	if (GetScanListConst(a)->distance > GetScanListConst(b)->distance)
+	if (((const IvfflatScanList *) a)->distance > ((const IvfflatScanList *) b)->distance)
 		return 1;
 
-	if (GetScanListConst(a)->distance < GetScanListConst(b)->distance)
+	if (((const IvfflatScanList *) a)->distance < ((const IvfflatScanList *) b)->distance)
 		return -1;
 
 	return 0;
@@ -71,9 +55,9 @@ GetScanLists(IndexScanDesc scan, Datum value)
 			double		distance;
 
 			/* Use procinfo from the index instead of scan key for performance */
-			distance = DatumGetFloat8(so->distfunc(so->procinfo, so->collation, PointerGetDatum(&list->center), value));
+			distance = DatumGetFloat8(FunctionCall2Coll(so->procinfo, so->collation, PointerGetDatum(&list->center), value));
 
-			if (listCount < so->maxProbes)
+			if (listCount < so->probes)
 			{
 				IvfflatScanList *scanlist;
 
@@ -86,15 +70,15 @@ GetScanLists(IndexScanDesc scan, Datum value)
 				pairingheap_add(so->listQueue, &scanlist->ph_node);
 
 				/* Calculate max distance */
-				if (listCount == so->maxProbes)
+				if (listCount == so->probes)
-					maxDistance = GetScanList(pairingheap_first(so->listQueue))->distance;
+					maxDistance = ((IvfflatScanList *) pairingheap_first(so->listQueue))->distance;
 			}
 			else if (distance < maxDistance)
 			{
 				IvfflatScanList *scanlist;
 
 				/* Remove */
-				scanlist = GetScanList(pairingheap_remove_first(so->listQueue));
+				scanlist = (IvfflatScanList *) pairingheap_remove_first(so->listQueue);
 
 				/* Reuse */
 				scanlist->startPage = list->startPage;
@@ -102,7 +86,7 @@ GetScanLists(IndexScanDesc scan, Datum value)
 				pairingheap_add(so->listQueue, &scanlist->ph_node);
 
 				/* Update max distance */
-				maxDistance = GetScanList(pairingheap_first(so->listQueue))->distance;
+				maxDistance = ((IvfflatScanList *) pairingheap_first(so->listQueue))->distance;
 			}
 		}
 
@@ -110,11 +94,6 @@ GetScanLists(IndexScanDesc scan, Datum value)
 
 		UnlockReleaseBuffer(cbuf);
 	}
-
-	for (int i = listCount - 1; i >= 0; i--)
-		so->listPages[i] = GetScanList(pairingheap_remove_first(so->listQueue))->startPage;
-
-	Assert(pairingheap_is_empty(so->listQueue));
 }
 
 /*
@@ -125,15 +104,25 @@ GetScanItems(IndexScanDesc scan, Datum value)
 {
 	IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
 	TupleDesc	tupdesc = RelationGetDescr(scan->indexRelation);
-	TupleTableSlot *slot = so->vslot;
+	double		tuples = 0;
-	int			batchProbes = 0;
 
-	tuplesort_reset(so->sortstate);
+#if PG_VERSION_NUM >= 120000
+	TupleTableSlot *slot = MakeSingleTupleTableSlot(so->tupdesc, &TTSOpsVirtual);
+#else
+	TupleTableSlot *slot = MakeSingleTupleTableSlot(so->tupdesc);
+#endif
+
+	/*
+	 * Reuse same set of shared buffers for scan
+	 *
+	 * See postgres/src/backend/storage/buffer/README for description
+	 */
+	BufferAccessStrategy bas = GetAccessStrategy(BAS_BULKREAD);
 
 	/* Search closest probes lists */
-	while (so->listIndex < so->maxProbes && (++batchProbes) <= so->probes)
+	while (!pairingheap_is_empty(so->listQueue))
 	{
-		BlockNumber searchPage = so->listPages[so->listIndex++];
+		BlockNumber searchPage = ((IvfflatScanList *) pairingheap_remove_first(so->listQueue))->startPage;
 
 		/* Search all entry pages for list */
 		while (BlockNumberIsValid(searchPage))
@@ -142,7 +131,7 @@ GetScanItems(IndexScanDesc scan, Datum value)
 			Page		page;
 			OffsetNumber maxoffno;
 
-			buf = ReadBufferExtended(scan->indexRelation, MAIN_FORKNUM, searchPage, RBM_NORMAL, so->bas);
+			buf = ReadBufferExtended(scan->indexRelation, MAIN_FORKNUM, searchPage, RBM_NORMAL, bas);
 			LockBuffer(buf, BUFFER_LOCK_SHARE);
 			page = BufferGetPage(buf);
 			maxoffno = PageGetMaxOffsetNumber(page);
@@ -164,13 +153,15 @@ GetScanItems(IndexScanDesc scan, Datum value)
 				 * performance
 				 */
 				ExecClearTuple(slot);
-				slot->tts_values[0] = so->distfunc(so->procinfo, so->collation, datum, value);
+				slot->tts_values[0] = FunctionCall2Coll(so->procinfo, so->collation, datum, value);
 				slot->tts_isnull[0] = false;
 				slot->tts_values[1] = PointerGetDatum(&itup->t_tid);
 				slot->tts_isnull[1] = false;
 				ExecStoreVirtualTuple(slot);
 
 				tuplesort_puttupleslot(so->sortstate, slot);
+
+				tuples++;
 			}
 
 			searchPage = IvfflatPageGetOpaque(page)->nextblkno;
@@ -179,71 +170,15 @@ GetScanItems(IndexScanDesc scan, Datum value)
 		}
 	}
 
+	FreeAccessStrategy(bas);
+
+	if (tuples < 100)
+		ereport(DEBUG1,
+				(errmsg("index scan found few tuples"),
+				 errdetail("Index may have been created with little data."),
+				 errhint("Recreate the index and possibly decrease lists.")));
+
 	tuplesort_performsort(so->sortstate);
-
-#if defined(IVFFLAT_MEMORY)
-	elog(INFO, "memory: %zu MB", MemoryContextMemAllocated(CurrentMemoryContext, true) / (1024 * 1024));
-#endif
-}
-
-/*
- * Zero distance
- */
-static Datum
-ZeroDistance(FmgrInfo *flinfo, Oid collation, Datum arg1, Datum arg2)
-{
-	return Float8GetDatum(0.0);
-}
-
-/*
- * Get scan value
- */
-static Datum
-GetScanValue(IndexScanDesc scan)
-{
-	IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
-	Datum		value;
-
-	if (scan->orderByData->sk_flags & SK_ISNULL)
-	{
-		value = PointerGetDatum(NULL);
-		so->distfunc = ZeroDistance;
-	}
-	else
-	{
-		value = scan->orderByData->sk_argument;
-		so->distfunc = FunctionCall2Coll;
-
-		/* Value should not be compressed or toasted */
-		Assert(!VARATT_IS_COMPRESSED(DatumGetPointer(value)));
-		Assert(!VARATT_IS_EXTENDED(DatumGetPointer(value)));
-
-		/* Normalize if needed */
-		if (so->normprocinfo != NULL)
-		{
-			MemoryContext oldCtx = MemoryContextSwitchTo(so->tmpCtx);
-
-			value = IvfflatNormValue(so->typeInfo, so->collation, value);
-
-			MemoryContextSwitchTo(oldCtx);
-		}
-	}
-
-	return value;
-}
-
-/*
- * Initialize scan sort state
- */
-static Tuplesortstate *
-InitScanSortState(TupleDesc tupdesc)
-{
-	AttrNumber	attNums[] = {1};
-	Oid			sortOperators[] = {Float8LessOperator};
-	Oid			sortCollations[] = {InvalidOid};
-	bool		nullsFirstFlags[] = {false};
-
-	return tuplesort_begin_heap(tupdesc, 1, attNums, sortOperators, sortCollations, nullsFirstFlags, work_mem, NULL, false);
 }
 
 /*
@@ -256,31 +191,23 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
 	IvfflatScanOpaque so;
 	int			lists;
 	int			dimensions;
+	AttrNumber	attNums[] = {1};
+	Oid			sortOperators[] = {Float8LessOperator};
+	Oid			sortCollations[] = {InvalidOid};
+	bool		nullsFirstFlags[] = {false};
 	int			probes = ivfflat_probes;
-	int			maxProbes;
-	MemoryContext oldCtx;
 
 	scan = RelationGetIndexScan(index, nkeys, norderbys);
 
 	/* Get lists and dimensions from metapage */
 	IvfflatGetMetaPageInfo(index, &lists, &dimensions);
 
-	if (ivfflat_iterative_scan != IVFFLAT_ITERATIVE_SCAN_OFF)
-		maxProbes = Max(ivfflat_max_probes, probes);
-	else
-		maxProbes = probes;
-
 	if (probes > lists)
 		probes = lists;
 
-	if (maxProbes > lists)
+	so = (IvfflatScanOpaque) palloc(offsetof(IvfflatScanOpaqueData, lists) + probes * sizeof(IvfflatScanList));
-		maxProbes = lists;
-
-	so = (IvfflatScanOpaque) palloc(sizeof(IvfflatScanOpaqueData));
-	so->typeInfo = IvfflatGetTypeInfo(index);
 	so->first = true;
 	so->probes = probes;
-	so->maxProbes = maxProbes;
 	so->dimensions = dimensions;
 
 	/* Set support functions */
@@ -288,40 +215,25 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
 	so->normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC);
 	so->collation = index->rd_indcollation[0];
 
-	so->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
-									   "Ivfflat scan temporary context",
-									   ALLOCSET_DEFAULT_SIZES);
-
-	oldCtx = MemoryContextSwitchTo(so->tmpCtx);
-
 	/* Create tuple description for sorting */
+#if PG_VERSION_NUM >= 120000
 	so->tupdesc = CreateTemplateTupleDesc(2);
+#else
+	so->tupdesc = CreateTemplateTupleDesc(2, false);
+#endif
 	TupleDescInitEntry(so->tupdesc, (AttrNumber) 1, "distance", FLOAT8OID, -1, 0);
 	TupleDescInitEntry(so->tupdesc, (AttrNumber) 2, "heaptid", TIDOID, -1, 0);
-#if PG_VERSION_NUM >= 190000
-	TupleDescFinalize(so->tupdesc);
-#endif
 
 	/* Prep sort */
-	so->sortstate = InitScanSortState(so->tupdesc);
+	so->sortstate = tuplesort_begin_heap(so->tupdesc, 1, attNums, sortOperators, sortCollations, nullsFirstFlags, work_mem, NULL, false);
 
-	/* Need separate slots for puttuple and gettuple */
+#if PG_VERSION_NUM >= 120000
-	so->vslot = MakeSingleTupleTableSlot(so->tupdesc, &TTSOpsVirtual);
+	so->slot = MakeSingleTupleTableSlot(so->tupdesc, &TTSOpsMinimalTuple);
-	so->mslot = MakeSingleTupleTableSlot(so->tupdesc, &TTSOpsMinimalTuple);
+#else
-
+	so->slot = MakeSingleTupleTableSlot(so->tupdesc);
-	/*
+#endif
-	 * Reuse same set of shared buffers for scan
-	 *
-	 * See postgres/src/backend/storage/buffer/README for description
-	 */
-	so->bas = GetAccessStrategy(BAS_BULKREAD);
 
 	so->listQueue = pairingheap_allocate(CompareLists, scan);
-	so->listPages = palloc(maxProbes * sizeof(BlockNumber));
-	so->listIndex = 0;
-	so->lists = palloc(maxProbes * sizeof(IvfflatScanList));
-
-	MemoryContextSwitchTo(oldCtx);
 
 	scan->opaque = so;
 
@@ -336,9 +248,13 @@ ivfflatrescan(IndexScanDesc scan, ScanKey keys, int nkeys, ScanKey orderbys, int
 {
 	IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
 
+#if PG_VERSION_NUM >= 130000
+	if (!so->first)
+		tuplesort_reset(so->sortstate);
+#endif
+
 	so->first = true;
 	pairingheap_reset(so->listQueue);
-	so->listIndex = 0;
 
 	if (keys && scan->numberOfKeys > 0)
 		memmove(scan->keyData, keys, scan->numberOfKeys * sizeof(ScanKeyData));
@@ -354,8 +270,6 @@ bool
 ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
 {
 	IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
-	ItemPointer heaptid;
-	bool		isnull;
 
 	/*
 	 * Index can be used to scan backward, but Postgres doesn't support
@@ -369,10 +283,6 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
 
 		/* Count index scan for stats */
 		pgstat_count_index_scan(scan->indexRelation);
-#if PG_VERSION_NUM >= 180000
-		if (scan->instrument)
-			scan->instrument->nsearches++;
-#endif
 
 		/* Safety check */
 		if (scan->orderByData == NULL)
@@ -383,27 +293,45 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
 		if (!IsMVCCSnapshot(scan->xs_snapshot))
 			elog(ERROR, "non-MVCC snapshots are not supported with ivfflat");
 
-		value = GetScanValue(scan);
+		if (scan->orderByData->sk_flags & SK_ISNULL)
+			value = PointerGetDatum(InitVector(so->dimensions));
+		else
+		{
+			value = scan->orderByData->sk_argument;
+
+			/* Value should not be compressed or toasted */
+			Assert(!VARATT_IS_COMPRESSED(DatumGetPointer(value)));
+			Assert(!VARATT_IS_EXTENDED(DatumGetPointer(value)));
+
+			/* Fine if normalization fails */
+			if (so->normprocinfo != NULL)
+				IvfflatNormValue(so->normprocinfo, so->collation, &value, NULL);
+		}
+
 		IvfflatBench("GetScanLists", GetScanLists(scan, value));
 		IvfflatBench("GetScanItems", GetScanItems(scan, value));
 		so->first = false;
-		so->value = value;
+
+		/* Clean up if we allocated a new value */
+		if (value != scan->orderByData->sk_argument)
+			pfree(DatumGetPointer(value));
 	}
 
-	while (!tuplesort_gettupleslot(so->sortstate, true, false, so->mslot, NULL))
+	if (tuplesort_gettupleslot(so->sortstate, true, false, so->slot, NULL))
 	{
-		if (so->listIndex == so->maxProbes)
+		ItemPointer heaptid = (ItemPointer) DatumGetPointer(slot_getattr(so->slot, 2, &so->isnull));
-			return false;
 
-		IvfflatBench("GetScanItems", GetScanItems(scan, so->value));
+#if PG_VERSION_NUM >= 120000
+		scan->xs_heaptid = *heaptid;
+#else
+		scan->xs_ctup.t_self = *heaptid;
+#endif
+
+		scan->xs_recheckorderby = false;
+		return true;
 	}
 
-	heaptid = (ItemPointer) DatumGetPointer(slot_getattr(so->mslot, 2, &isnull));
+	return false;
-
-	scan->xs_heaptid = *heaptid;
-	scan->xs_recheck = false;
-	scan->xs_recheckorderby = false;
-	return true;
 }
 
 /*
@@ -414,11 +342,9 @@ ivfflatendscan(IndexScanDesc scan)
 {
 	IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
 
-	/* Free any temporary files */
+	pairingheap_free(so->listQueue);
 	tuplesort_end(so->sortstate);
 
-	MemoryContextDelete(so->tmpCtx);
-
 	pfree(so);
 	scan->opaque = NULL;
 }

src/ivfutils.c

@@ -1,42 +1,21 @@
 #include "postgres.h"
 
-#include "access/genam.h"
-#include "access/generic_xlog.h"
-#include "fmgr.h"
-#include "halfutils.h"
-#include "halfvec.h"
 #include "ivfflat.h"
-#include "miscadmin.h"
 #include "storage/bufmgr.h"
-#include "utils/memutils.h"
-#include "utils/relcache.h"
-#include "utils/varbit.h"
 #include "vector.h"
 
-#if PG_VERSION_NUM >= 160000
-#include "varatt.h"
-#endif
-
 /*
  * Allocate a vector array
  */
 VectorArray
-VectorArrayInit(int maxlen, int dimensions, Size itemsize)
+VectorArrayInit(int maxlen, int dimensions)
 {
-	VectorArray res;
+	VectorArray res = palloc(sizeof(VectorArrayData));
 
-	if (maxlen < 1 || dimensions < 1)
-		elog(ERROR, "safety check failed");
-
-	/* Ensure items are aligned to prevent UB */
-	itemsize = MAXALIGN(itemsize);
-
-	res = palloc(sizeof(VectorArrayData));
 	res->length = 0;
 	res->maxlen = maxlen;
 	res->dim = dimensions;
-	res->itemsize = itemsize;
+	res->items = palloc_extended(maxlen * VECTOR_SIZE(dimensions), MCXT_ALLOC_ZERO | MCXT_ALLOC_HUGE);
-	res->items = palloc_extended(maxlen * itemsize, MCXT_ALLOC_ZERO | MCXT_ALLOC_HUGE);
 	return res;
 }
 
@@ -50,6 +29,16 @@ VectorArrayFree(VectorArray arr)
 	pfree(arr);
 }
 
+/*
+ * Print vector array - useful for debugging
+ */
+void
+PrintVectorArray(char *msg, VectorArray arr)
+{
+	for (int i = 0; i < arr->length; i++)
+		PrintVector(msg, VectorArrayGet(arr, i));
+}
+
 /*
  * Get the number of lists in the index
  */
@@ -77,55 +66,34 @@ IvfflatOptionalProcInfo(Relation index, uint16 procnum)
 }
 
 /*
- * Normalize value
+ * Divide by the norm
- */
+ *
-Datum
+ * Returns false if value should not be indexed
-IvfflatNormValue(const IvfflatTypeInfo * typeInfo, Oid collation, Datum value)
+ *
-{
+ * The caller needs to free the pointer stored in value
-	return DirectFunctionCall1Coll(typeInfo->normalize, collation, value);
+ * if it's different than the original value
-}
-
-/*
- * Check if non-zero norm
  */
 bool
-IvfflatCheckNorm(FmgrInfo *procinfo, Oid collation, Datum value)
+IvfflatNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result)
 {
-	return DatumGetFloat8(FunctionCall1Coll(procinfo, collation, value)) > 0;
+	double		norm = DatumGetFloat8(FunctionCall1Coll(procinfo, collation, *value));
-}
 
-/*
+	if (norm > 0)
- * Normalize vectors
- */
-void
-IvfflatNormVectors(const IvfflatTypeInfo * typeInfo, Oid collation, VectorArray arr, MemoryContext tmpCtx)
-{
-	MemoryContext oldCtx = MemoryContextSwitchTo(tmpCtx);
-
-	for (int i = 0; i < arr->length; i++)
 	{
-		Datum		value = PointerGetDatum(VectorArrayGet(arr, i));
+		Vector	   *v = DatumGetVector(*value);
-		Datum		newValue = IvfflatNormValue(typeInfo, collation, value);
 
-		VectorArraySet(arr, i, DatumGetPointer(newValue));
+		if (result == NULL)
-		MemoryContextReset(tmpCtx);
+			result = InitVector(v->dim);
+
+		for (int i = 0; i < v->dim; i++)
+			result->x[i] = v->x[i] / norm;
+
+		*value = PointerGetDatum(result);
+
+		return true;
 	}
 
-	MemoryContextSwitchTo(oldCtx);
+	return false;
-}
-
-/*
- * Check memory usage
- */
-void
-IvfflatCheckMemoryUsage(Size totalSize)
-{
-	/* Add one to error message to ceil */
-	if (totalSize > maintenance_work_mem * (Size) 1024)
-		ereport(ERROR,
-				(errcode(ERRCODE_PROGRAM_LIMIT_EXCEEDED),
-				 errmsg("memory required is %zu MB, maintenance_work_mem is %d MB",
-						totalSize / (1024 * 1024) + 1, maintenance_work_mem / 1024)));
 }
 
 /*
@@ -216,11 +184,7 @@ IvfflatGetMetaPageInfo(Relation index, int *lists, int *dimensions)
 	page = BufferGetPage(buf);
 	metap = IvfflatPageGetMeta(page);
 
-	if (unlikely(metap->magicNumber != IVFFLAT_MAGIC_NUMBER))
+	*lists = metap->lists;
-		elog(ERROR, "ivfflat index is not valid");
-
-	if (lists != NULL)
-		*lists = metap->lists;
 
 	if (dimensions != NULL)
 		*dimensions = metap->dimensions;
@@ -274,150 +238,3 @@ IvfflatUpdateList(Relation index, ListInfo listInfo,
 		UnlockReleaseBuffer(buf);
 	}
 }
-
-PGDLLEXPORT Datum l2_normalize(PG_FUNCTION_ARGS);
-PGDLLEXPORT Datum halfvec_l2_normalize(PG_FUNCTION_ARGS);
-PGDLLEXPORT Datum sparsevec_l2_normalize(PG_FUNCTION_ARGS);
-
-static Size
-VectorItemSize(int dimensions)
-{
-	return VECTOR_SIZE(dimensions);
-}
-
-static Size
-HalfvecItemSize(int dimensions)
-{
-	return HALFVEC_SIZE(dimensions);
-}
-
-static Size
-BitItemSize(int dimensions)
-{
-	return VARBITTOTALLEN(dimensions);
-}
-
-static void
-VectorUpdateCenter(Pointer v, int dimensions, float *x)
-{
-	Vector	   *vec = (Vector *) v;
-
-	SET_VARSIZE(vec, VECTOR_SIZE(dimensions));
-	vec->dim = dimensions;
-
-	for (int i = 0; i < dimensions; i++)
-		vec->x[i] = x[i];
-}
-
-static void
-HalfvecUpdateCenter(Pointer v, int dimensions, float *x)
-{
-	HalfVector *vec = (HalfVector *) v;
-
-	SET_VARSIZE(vec, HALFVEC_SIZE(dimensions));
-	vec->dim = dimensions;
-
-	for (int i = 0; i < dimensions; i++)
-		vec->x[i] = Float4ToHalfUnchecked(x[i]);
-}
-
-static void
-BitUpdateCenter(Pointer v, int dimensions, float *x)
-{
-	VarBit	   *vec = (VarBit *) v;
-	unsigned char *nx = VARBITS(vec);
-
-	SET_VARSIZE(vec, VARBITTOTALLEN(dimensions));
-	VARBITLEN(vec) = dimensions;
-
-	for (uint32 i = 0; i < VARBITBYTES(vec); i++)
-		nx[i] = 0;
-
-	for (int i = 0; i < dimensions; i++)
-		nx[i / 8] |= (x[i] > 0.5 ? 1 : 0) << (7 - (i % 8));
-}
-
-static void
-VectorSumCenter(Pointer v, float *x)
-{
-	Vector	   *vec = (Vector *) v;
-	int			dim = vec->dim;
-
-	/* Auto-vectorized */
-	for (int i = 0; i < dim; i++)
-		x[i] += vec->x[i];
-}
-
-static void
-HalfvecSumCenter(Pointer v, float *x)
-{
-	HalfVector *vec = (HalfVector *) v;
-	int			dim = vec->dim;
-
-	/* Auto-vectorized on aarch64 */
-	for (int i = 0; i < dim; i++)
-		x[i] += HalfToFloat4(vec->x[i]);
-}
-
-static void
-BitSumCenter(Pointer v, float *x)
-{
-	VarBit	   *vec = (VarBit *) v;
-
-	for (int i = 0; i < VARBITLEN(vec); i++)
-		x[i] += (float) (((VARBITS(vec)[i / 8]) >> (7 - (i % 8))) & 0x01);
-}
-
-/*
- * Get type info
- */
-const		IvfflatTypeInfo *
-IvfflatGetTypeInfo(Relation index)
-{
-	FmgrInfo   *procinfo = IvfflatOptionalProcInfo(index, IVFFLAT_TYPE_INFO_PROC);
-
-	if (procinfo == NULL)
-	{
-		static const IvfflatTypeInfo typeInfo = {
-			.maxDimensions = IVFFLAT_MAX_DIM,
-			.normalize = l2_normalize,
-			.itemSize = VectorItemSize,
-			.updateCenter = VectorUpdateCenter,
-			.sumCenter = VectorSumCenter
-		};
-
-		return (&typeInfo);
-	}
-	else
-		return (const IvfflatTypeInfo *) DatumGetPointer(FunctionCall0Coll(procinfo, InvalidOid));
-}
-
-FUNCTION_PREFIX PG_FUNCTION_INFO_V1(ivfflat_halfvec_support);
-Datum
-ivfflat_halfvec_support(PG_FUNCTION_ARGS)
-{
-	static const IvfflatTypeInfo typeInfo = {
-		.maxDimensions = IVFFLAT_MAX_DIM * 2,
-		.normalize = halfvec_l2_normalize,
-		.itemSize = HalfvecItemSize,
-		.updateCenter = HalfvecUpdateCenter,
-		.sumCenter = HalfvecSumCenter
-	};
-
-	PG_RETURN_POINTER(&typeInfo);
-}
-
-FUNCTION_PREFIX PG_FUNCTION_INFO_V1(ivfflat_bit_support);
-Datum
-ivfflat_bit_support(PG_FUNCTION_ARGS)
-{
-	static const IvfflatTypeInfo typeInfo = {
-		.maxDimensions = IVFFLAT_MAX_DIM * 32,
-		.normalize = NULL,
-		.itemSize = BitItemSize,
-		.updateCenter = BitUpdateCenter,
-		.sumCenter = BitSumCenter
-	};
-
-	PG_RETURN_POINTER(&typeInfo);
-}

src/ivfvacuum.c

@@ -1,16 +1,8 @@
 #include "postgres.h"
 
-#include "access/genam.h"
-#include "access/generic_xlog.h"
-#include "access/itup.h"
 #include "commands/vacuum.h"
 #include "ivfflat.h"
 #include "storage/bufmgr.h"
-#include "utils/relcache.h"
-
-#if PG_VERSION_NUM >= 180000
-#define vacuum_delay_point() vacuum_delay_point(false)
-#endif
 
 /*
  * Bulk delete tuples from the index
@@ -33,7 +25,7 @@ ivfflatbulkdelete(IndexVacuumInfo *info, IndexBulkDeleteResult *stats,
 		Page		cpage;
 		OffsetNumber coffno;
 		OffsetNumber cmaxoffno;
-		BlockNumber listPages[MaxOffsetNumber];
+		BlockNumber startPages[MaxOffsetNumber];
 		ListInfo	listInfo;
 
 		cbuf = ReadBuffer(index, blkno);
@@ -47,7 +39,7 @@ ivfflatbulkdelete(IndexVacuumInfo *info, IndexBulkDeleteResult *stats,
 		{
 			IvfflatList list = (IvfflatList) PageGetItem(cpage, PageGetItemId(cpage, coffno));
 
-			listPages[coffno - FirstOffsetNumber] = list->startPage;
+			startPages[coffno - FirstOffsetNumber] = list->startPage;
 		}
 
 		listInfo.blkno = blkno;
@@ -57,7 +49,7 @@ ivfflatbulkdelete(IndexVacuumInfo *info, IndexBulkDeleteResult *stats,
 
 		for (coffno = FirstOffsetNumber; coffno <= cmaxoffno; coffno = OffsetNumberNext(coffno))
 		{
-			BlockNumber searchPage = listPages[coffno - FirstOffsetNumber];
+			BlockNumber searchPage = startPages[coffno - FirstOffsetNumber];
 			BlockNumber insertPage = InvalidBlockNumber;
 
 			/* Iterate over entry pages */

src/sparsevec.h

@@ -1,40 +0,0 @@
-#ifndef SPARSEVEC_H
-#define SPARSEVEC_H
-
-#define SPARSEVEC_MAX_DIM 1000000000
-#define SPARSEVEC_MAX_NNZ 16000
-
-#define DatumGetSparseVector(x)		((SparseVector *) PG_DETOAST_DATUM(x))
-#define PG_GETARG_SPARSEVEC_P(x)	DatumGetSparseVector(PG_GETARG_DATUM(x))
-#define PG_RETURN_SPARSEVEC_P(x)	PG_RETURN_POINTER(x)
-
-/*
- * Indices use 0-based numbering for the on-disk (and binary) format (consistent with C)
- * and are always sorted. Values come after indices.
- */
-typedef struct SparseVector
-{
-	int32		vl_len_;		/* varlena header (do not touch directly!) */
-	int32		dim;			/* number of dimensions */
-	int32		nnz;			/* number of non-zero elements */
-	int32		unused;			/* reserved for future use, always zero */
-	int32		indices[FLEXIBLE_ARRAY_MEMBER];
-}			SparseVector;
-
-/* Use functions instead of macros to avoid double evaluation */
-
-static inline Size
-SPARSEVEC_SIZE(int nnz)
-{
-	return offsetof(SparseVector, indices) + (nnz * sizeof(int32)) + (nnz * sizeof(float));
-}
-
-static inline float *
-SPARSEVEC_VALUES(SparseVector * x)
-{
-	return (float *) (((char *) x) + offsetof(SparseVector, indices) + (x->nnz * sizeof(int32)));
-}
-
-SparseVector *InitSparseVector(int dim, int nnz);
-
-#endif

src/vector.h

@@ -12,7 +12,7 @@ typedef struct Vector
 {
 	int32		vl_len_;		/* varlena header (do not touch directly!) */
 	int16		dim;			/* number of dimensions */
-	int16		unused;			/* reserved for future use, always zero */
+	int16		unused;
 	float		x[FLEXIBLE_ARRAY_MEMBER];
 }			Vector;
 
@@ -20,11 +20,4 @@ Vector	   *InitVector(int dim);
 void		PrintVector(char *msg, Vector * vector);
 int			vector_cmp_internal(Vector * a, Vector * b);
 
-/* TODO Move to better place */
-#if PG_VERSION_NUM >= 160000
-#define FUNCTION_PREFIX
-#else
-#define FUNCTION_PREFIX PGDLLEXPORT
-#endif
-
 #endif

test/expected/bit.out

@@ -1,140 +0,0 @@
-SELECT hamming_distance('111', '111');
- hamming_distance 
-------------------
-                0
-(1 row)
-
-SELECT hamming_distance('111', '110');
- hamming_distance 
-------------------
-                1
-(1 row)
-
-SELECT hamming_distance('111', '100');
- hamming_distance 
-------------------
-                2
-(1 row)
-
-SELECT hamming_distance('111', '000');
- hamming_distance 
-------------------
-                3
-(1 row)
-
-SELECT hamming_distance('10101010101010101010', '01010101010101010101');
- hamming_distance 
-------------------
-               20
-(1 row)
-
-SELECT hamming_distance('101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101', '101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101');
- hamming_distance 
-------------------
-                0
-(1 row)
-
-SELECT hamming_distance('101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101', '010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010');
- hamming_distance 
-------------------
-              513
-(1 row)
-
-SELECT hamming_distance('110000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000011', '100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001');
- hamming_distance 
-------------------
-                2
-(1 row)
-
-SELECT hamming_distance('', '');
- hamming_distance 
-------------------
-                0
-(1 row)
-
-SELECT hamming_distance('111', '00');
-ERROR:  different bit lengths 3 and 2
-SELECT hamming_distance('111', '000'::varbit(4));
- hamming_distance 
-------------------
-                3
-(1 row)
-
-SELECT hamming_distance('111', '0000'::varbit(4));
-ERROR:  different bit lengths 3 and 4
-SELECT jaccard_distance('1111', '1111');
- jaccard_distance 
-------------------
-                0
-(1 row)
-
-SELECT jaccard_distance('1111', '1110');
- jaccard_distance 
-------------------
-             0.25
-(1 row)
-
-SELECT jaccard_distance('1111', '1100');
- jaccard_distance 
-------------------
-              0.5
-(1 row)
-
-SELECT jaccard_distance('1111', '1000');
- jaccard_distance 
-------------------
-             0.75
-(1 row)
-
-SELECT jaccard_distance('1111', '0000');
- jaccard_distance 
-------------------
-                1
-(1 row)
-
-SELECT jaccard_distance('1100', '1000');
- jaccard_distance 
-------------------
-              0.5
-(1 row)
-
-SELECT jaccard_distance('10101010101010101010', '01010101010101010101');
- jaccard_distance 
-------------------
-                1
-(1 row)
-
-SELECT jaccard_distance('101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101', '101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101');
- jaccard_distance 
-------------------
-                0
-(1 row)
-
-SELECT jaccard_distance('101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101', '010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010');
- jaccard_distance 
-------------------
-                1
-(1 row)
-
-SELECT jaccard_distance('110000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000011', '100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001');
- jaccard_distance 
-------------------
-              0.5
-(1 row)
-
-SELECT jaccard_distance('', '');
- jaccard_distance 
-------------------
-                1
-(1 row)
-
-SELECT jaccard_distance('1111', '000');
-ERROR:  different bit lengths 4 and 3
-SELECT jaccard_distance('1111', '0000'::varbit(5));
- jaccard_distance 
-------------------
-                1
-(1 row)
-
-SELECT jaccard_distance('1111', '00000'::varbit(5));
-ERROR:  different bit lengths 4 and 5

test/expected/btree.out

@@ -1,5 +1,4 @@
 SET enable_seqscan = off;
--- vector
 CREATE TABLE t (val vector(3));
 INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
 CREATE INDEX ON t (val);
@@ -9,53 +8,10 @@ SELECT * FROM t WHERE val = '[1,2,3]';
  [1,2,3]
 (1 row)
 
-SELECT * FROM t ORDER BY val;
+SELECT * FROM t ORDER BY val LIMIT 1;
    val   
 ---------
  [0,0,0]
- [1,1,1]
- [1,2,3]
- 
-(4 rows)
-
-DROP TABLE t;
--- halfvec
-CREATE TABLE t (val halfvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t (val);
-SELECT * FROM t WHERE val = '[1,2,3]';
-   val   
----------
- [1,2,3]
 (1 row)
 
-SELECT * FROM t ORDER BY val;
-   val   
----------
- [0,0,0]
- [1,1,1]
- [1,2,3]
- 
-(4 rows)
-
-DROP TABLE t;
--- sparsevec
-CREATE TABLE t (val sparsevec(3));
-INSERT INTO t (val) VALUES ('{}/3'), ('{1:1,2:2,3:3}/3'), ('{1:1,2:1,3:1}/3'), (NULL);
-CREATE INDEX ON t (val);
-SELECT * FROM t WHERE val = '{1:1,2:2,3:3}/3';
-       val       
------------------
- {1:1,2:2,3:3}/3
-(1 row)
-
-SELECT * FROM t ORDER BY val;
-       val       
------------------
- {}/3
- {1:1,2:1,3:1}/3
- {1:1,2:2,3:3}/3
- 
-(4 rows)
-
 DROP TABLE t;

test/expected/cast.out

@@ -28,26 +28,6 @@ SELECT ARRAY[1,2,3]::numeric[]::vector;
  [1,2,3]
 (1 row)
 
-SELECT '[1,2,3]'::vector::real[];
- float4  
----------
- {1,2,3}
-(1 row)
-
-SELECT '{1,2,3}'::real[]::vector;
- vector  
----------
- [1,2,3]
-(1 row)
-
-SELECT '{1,2,3}'::real[]::vector(3);
- vector  
----------
- [1,2,3]
-(1 row)
-
-SELECT '{1,2,3}'::real[]::vector(2);
-ERROR:  expected 2 dimensions, not 3
 SELECT '{NULL}'::real[]::vector;
 ERROR:  array must not contain nulls
 SELECT '{NaN}'::real[]::vector;
@@ -60,210 +40,12 @@ SELECT '{}'::real[]::vector;
 ERROR:  vector must have at least 1 dimension
 SELECT '{{1}}'::real[]::vector;
 ERROR:  array must be 1-D
-SELECT '{1,2,3}'::double precision[]::vector;
+SELECT '[1,2,3]'::vector::real[];
- vector  
+ float4  
 ---------
- [1,2,3]
+ {1,2,3}
 (1 row)
 
-SELECT '{1,2,3}'::double precision[]::vector(3);
- vector  
----------
- [1,2,3]
-(1 row)
-
-SELECT '{1,2,3}'::double precision[]::vector(2);
-ERROR:  expected 2 dimensions, not 3
-SELECT '{4e38,-4e38}'::double precision[]::vector;
-ERROR:  infinite value not allowed in vector
-SELECT '{1e-46,-1e-46}'::double precision[]::vector;
- vector 
---------
- [0,-0]
-(1 row)
-
-SELECT '[1,2,3]'::vector::halfvec;
- halfvec 
----------
- [1,2,3]
-(1 row)
-
-SELECT '[1,2,3]'::vector::halfvec(3);
- halfvec 
----------
- [1,2,3]
-(1 row)
-
-SELECT '[1,2,3]'::vector::halfvec(2);
-ERROR:  expected 2 dimensions, not 3
-SELECT '[65520]'::vector::halfvec;
-ERROR:  "65520" is out of range for type halfvec
-SELECT '[1e-8]'::vector::halfvec;
- halfvec 
----------
- [0]
-(1 row)
-
-SELECT '[1,2,3]'::halfvec::vector;
- vector  
----------
- [1,2,3]
-(1 row)
-
-SELECT '[1,2,3]'::halfvec::vector(3);
- vector  
----------
- [1,2,3]
-(1 row)
-
-SELECT '[1,2,3]'::halfvec::vector(2);
-ERROR:  expected 2 dimensions, not 3
-SELECT '{1,2,3}'::real[]::halfvec;
- halfvec 
----------
- [1,2,3]
-(1 row)
-
-SELECT '{1,2,3}'::real[]::halfvec(3);
- halfvec 
----------
- [1,2,3]
-(1 row)
-
-SELECT '{1,2,3}'::real[]::halfvec(2);
-ERROR:  expected 2 dimensions, not 3
-SELECT '{65520,-65520}'::real[]::halfvec;
-ERROR:  "65520" is out of range for type halfvec
-SELECT '{1e-8,-1e-8}'::real[]::halfvec;
- halfvec 
----------
- [0,-0]
-(1 row)
-
-SELECT '[0,1.5,0,3.5,0]'::vector::sparsevec;
-    sparsevec    
------------------
- {2:1.5,4:3.5}/5
-(1 row)
-
-SELECT '[0,1.5,0,3.5,0]'::vector::sparsevec(5);
-    sparsevec    
------------------
- {2:1.5,4:3.5}/5
-(1 row)
-
-SELECT '[0,1.5,0,3.5,0]'::vector::sparsevec(4);
-ERROR:  expected 4 dimensions, not 5
-SELECT '{2:1.5,4:3.5}/5'::sparsevec::vector;
-     vector      
------------------
- [0,1.5,0,3.5,0]
-(1 row)
-
-SELECT '{2:1.5,4:3.5}/5'::sparsevec::vector(5);
-     vector      
------------------
- [0,1.5,0,3.5,0]
-(1 row)
-
-SELECT '{2:1.5,4:3.5}/5'::sparsevec::vector(4);
-ERROR:  expected 4 dimensions, not 5
-SELECT '{}/16001'::sparsevec::vector;
-ERROR:  vector cannot have more than 16000 dimensions
-SELECT '[0,1.5,0,3.5,0]'::halfvec::sparsevec;
-    sparsevec    
------------------
- {2:1.5,4:3.5}/5
-(1 row)
-
-SELECT '[0,1.5,0,3.5,0]'::halfvec::sparsevec(5);
-    sparsevec    
------------------
- {2:1.5,4:3.5}/5
-(1 row)
-
-SELECT '[0,1.5,0,3.5,0]'::halfvec::sparsevec(4);
-ERROR:  expected 4 dimensions, not 5
-SELECT '{2:1.5,4:3.5}/5'::sparsevec::halfvec;
-     halfvec     
------------------
- [0,1.5,0,3.5,0]
-(1 row)
-
-SELECT '{2:1.5,4:3.5}/5'::sparsevec::halfvec(5);
-     halfvec     
------------------
- [0,1.5,0,3.5,0]
-(1 row)
-
-SELECT '{2:1.5,4:3.5}/5'::sparsevec::halfvec(4);
-ERROR:  expected 4 dimensions, not 5
-SELECT '{}/16001'::sparsevec::halfvec;
-ERROR:  halfvec cannot have more than 16000 dimensions
-SELECT '{1:65520}/1'::sparsevec::halfvec;
-ERROR:  "65520" is out of range for type halfvec
-SELECT '{1:1e-8}/1'::sparsevec::halfvec;
- halfvec 
----------
- [0]
-(1 row)
-
-SELECT ARRAY[1,0,2,0,3,0]::sparsevec;
-      array      
------------------
- {1:1,3:2,5:3}/6
-(1 row)
-
-SELECT ARRAY[1.0,0.0,2.0,0.0,3.0,0.0]::sparsevec;
-      array      
------------------
- {1:1,3:2,5:3}/6
-(1 row)
-
-SELECT ARRAY[1,0,2,0,3,0]::float4[]::sparsevec;
-      array      
------------------
- {1:1,3:2,5:3}/6
-(1 row)
-
-SELECT ARRAY[1,0,2,0,3,0]::float8[]::sparsevec;
-      array      
------------------
- {1:1,3:2,5:3}/6
-(1 row)
-
-SELECT ARRAY[1,0,2,0,3,0]::numeric[]::sparsevec;
-      array      
------------------
- {1:1,3:2,5:3}/6
-(1 row)
-
-SELECT '{1,0,2,0,3,0}'::real[]::sparsevec;
-    sparsevec    
------------------
- {1:1,3:2,5:3}/6
-(1 row)
-
-SELECT '{1,0,2,0,3,0}'::real[]::sparsevec(6);
-    sparsevec    
------------------
- {1:1,3:2,5:3}/6
-(1 row)
-
-SELECT '{1,0,2,0,3,0}'::real[]::sparsevec(5);
-ERROR:  expected 5 dimensions, not 6
-SELECT '{NULL}'::real[]::sparsevec;
-ERROR:  array must not contain nulls
-SELECT '{NaN}'::real[]::sparsevec;
-ERROR:  NaN not allowed in sparsevec
-SELECT '{Infinity}'::real[]::sparsevec;
-ERROR:  infinite value not allowed in sparsevec
-SELECT '{-Infinity}'::real[]::sparsevec;
-ERROR:  infinite value not allowed in sparsevec
-SELECT '{}'::real[]::sparsevec;
-ERROR:  sparsevec must have at least 1 dimension
-SELECT '{{1}}'::real[]::sparsevec;
-ERROR:  array must be 1-D
 SELECT array_agg(n)::vector FROM generate_series(1, 16001) n;
 ERROR:  vector cannot have more than 16000 dimensions
 SELECT array_to_vector(array_agg(n), 16001, false) FROM generate_series(1, 16001) n;

test/expected/copy.out

@@ -1,9 +1,8 @@
--- vector
 CREATE TABLE t (val vector(3));
 INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
 CREATE TABLE t2 (val vector(3));
-\copy t TO 'results/vector.bin' WITH (FORMAT binary)
+\copy t TO 'results/data.bin' WITH (FORMAT binary)
-\copy t2 FROM 'results/vector.bin' WITH (FORMAT binary)
+\copy t2 FROM 'results/data.bin' WITH (FORMAT binary)
 SELECT * FROM t2 ORDER BY val;
    val   
 ---------
@@ -15,37 +14,3 @@ SELECT * FROM t2 ORDER BY val;
 
 DROP TABLE t;
 DROP TABLE t2;
--- halfvec
-CREATE TABLE t (val halfvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE TABLE t2 (val halfvec(3));
-\copy t TO 'results/halfvec.bin' WITH (FORMAT binary)
-\copy t2 FROM 'results/halfvec.bin' WITH (FORMAT binary)
-SELECT * FROM t2 ORDER BY val;
-   val   
----------
- [0,0,0]
- [1,1,1]
- [1,2,3]
- 
-(4 rows)
-
-DROP TABLE t;
-DROP TABLE t2;
--- sparsevec
-CREATE TABLE t (val sparsevec(3));
-INSERT INTO t (val) VALUES ('{}/3'), ('{1:1,2:2,3:3}/3'), ('{1:1,2:1,3:1}/3'), (NULL);
-CREATE TABLE t2 (val sparsevec(3));
-\copy t TO 'results/sparsevec.bin' WITH (FORMAT binary)
-\copy t2 FROM 'results/sparsevec.bin' WITH (FORMAT binary)
-SELECT * FROM t2 ORDER BY val;
-       val       
------------------
- {}/3
- {1:1,2:1,3:1}/3
- {1:1,2:2,3:3}/3
- 
-(4 rows)
-
-DROP TABLE t;
-DROP TABLE t2;

test/expected/functions.out

@@ -0,0 +1,210 @@
+SELECT '[1,2,3]'::vector + '[4,5,6]';
+ ?column? 
+----------
+ [5,7,9]
+(1 row)
+
+SELECT '[3e38]'::vector + '[3e38]';
+ERROR:  value out of range: overflow
+SELECT '[1,2,3]'::vector - '[4,5,6]';
+  ?column?  
+------------
+ [-3,-3,-3]
+(1 row)
+
+SELECT '[-3e38]'::vector - '[3e38]';
+ERROR:  value out of range: overflow
+SELECT '[1,2,3]'::vector * '[4,5,6]';
+ ?column?  
+-----------
+ [4,10,18]
+(1 row)
+
+SELECT '[1e37]'::vector * '[1e37]';
+ERROR:  value out of range: overflow
+SELECT '[1e-37]'::vector * '[1e-37]';
+ERROR:  value out of range: underflow
+SELECT vector_dims('[1,2,3]');
+ vector_dims 
+-------------
+           3
+(1 row)
+
+SELECT round(vector_norm('[1,1]')::numeric, 5);
+  round  
+---------
+ 1.41421
+(1 row)
+
+SELECT vector_norm('[3,4]');
+ vector_norm 
+-------------
+           5
+(1 row)
+
+SELECT vector_norm('[0,1]');
+ vector_norm 
+-------------
+           1
+(1 row)
+
+SELECT vector_norm('[3e37,4e37]')::real;
+ vector_norm 
+-------------
+       5e+37
+(1 row)
+
+SELECT l2_distance('[0,0]', '[3,4]');
+ l2_distance 
+-------------
+           5
+(1 row)
+
+SELECT l2_distance('[0,0]', '[0,1]');
+ l2_distance 
+-------------
+           1
+(1 row)
+
+SELECT l2_distance('[1,2]', '[3]');
+ERROR:  different vector dimensions 2 and 1
+SELECT l2_distance('[3e38]', '[-3e38]');
+ l2_distance 
+-------------
+    Infinity
+(1 row)
+
+SELECT inner_product('[1,2]', '[3,4]');
+ inner_product 
+---------------
+            11
+(1 row)
+
+SELECT inner_product('[1,2]', '[3]');
+ERROR:  different vector dimensions 2 and 1
+SELECT inner_product('[3e38]', '[3e38]');
+ inner_product 
+---------------
+      Infinity
+(1 row)
+
+SELECT cosine_distance('[1,2]', '[2,4]');
+ cosine_distance 
+-----------------
+               0
+(1 row)
+
+SELECT cosine_distance('[1,2]', '[0,0]');
+ cosine_distance 
+-----------------
+             NaN
+(1 row)
+
+SELECT cosine_distance('[1,1]', '[1,1]');
+ cosine_distance 
+-----------------
+               0
+(1 row)
+
+SELECT cosine_distance('[1,0]', '[0,2]');
+ cosine_distance 
+-----------------
+               1
+(1 row)
+
+SELECT cosine_distance('[1,1]', '[-1,-1]');
+ cosine_distance 
+-----------------
+               2
+(1 row)
+
+SELECT cosine_distance('[1,2]', '[3]');
+ERROR:  different vector dimensions 2 and 1
+SELECT cosine_distance('[1,1]', '[1.1,1.1]');
+ cosine_distance 
+-----------------
+               0
+(1 row)
+
+SELECT cosine_distance('[1,1]', '[-1.1,-1.1]');
+ cosine_distance 
+-----------------
+               2
+(1 row)
+
+SELECT cosine_distance('[3e38]', '[3e38]');
+ cosine_distance 
+-----------------
+             NaN
+(1 row)
+
+SELECT l1_distance('[0,0]', '[3,4]');
+ l1_distance 
+-------------
+           7
+(1 row)
+
+SELECT l1_distance('[0,0]', '[0,1]');
+ l1_distance 
+-------------
+           1
+(1 row)
+
+SELECT l1_distance('[1,2]', '[3]');
+ERROR:  different vector dimensions 2 and 1
+SELECT l1_distance('[3e38]', '[-3e38]');
+ l1_distance 
+-------------
+    Infinity
+(1 row)
+
+SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]']) v;
+    avg    
+-----------
+ [2,3.5,5]
+(1 row)
+
+SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]', NULL]) v;
+    avg    
+-----------
+ [2,3.5,5]
+(1 row)
+
+SELECT avg(v) FROM unnest(ARRAY[]::vector[]) v;
+ avg 
+-----
+ 
+(1 row)
+
+SELECT avg(v) FROM unnest(ARRAY['[1,2]'::vector, '[3]']) v;
+ERROR:  expected 2 dimensions, not 1
+SELECT avg(v) FROM unnest(ARRAY['[3e38]'::vector, '[3e38]']) v;
+   avg   
+---------
+ [3e+38]
+(1 row)
+
+SELECT vector_avg(array_agg(n)) FROM generate_series(1, 16002) n;
+ERROR:  vector cannot have more than 16000 dimensions
+SELECT sum(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]']) v;
+   sum    
+----------
+ [4,7,10]
+(1 row)
+
+SELECT sum(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]', NULL]) v;
+   sum    
+----------
+ [4,7,10]
+(1 row)
+
+SELECT sum(v) FROM unnest(ARRAY[]::vector[]) v;
+ sum 
+-----
+ 
+(1 row)
+
+SELECT sum(v) FROM unnest(ARRAY['[1,2]'::vector, '[3]']) v;
+ERROR:  different vector dimensions 2 and 1
+SELECT sum(v) FROM unnest(ARRAY['[3e38]'::vector, '[3e38]']) v;
+ERROR:  value out of range: overflow

test/expected/halfvec.out

@@ -1,642 +0,0 @@
-SELECT '[1,2,3]'::halfvec;
- halfvec 
----------
- [1,2,3]
-(1 row)
-
-SELECT '[-1,-2,-3]'::halfvec;
-  halfvec   
-------------
- [-1,-2,-3]
-(1 row)
-
-SELECT '[1.,2.,3.]'::halfvec;
- halfvec 
----------
- [1,2,3]
-(1 row)
-
-SELECT ' [ 1,  2 ,    3  ] '::halfvec;
- halfvec 
----------
- [1,2,3]
-(1 row)
-
-SELECT '[1.23456]'::halfvec;
-  halfvec   
-------------
- [1.234375]
-(1 row)
-
-SELECT '[hello,1]'::halfvec;
-ERROR:  invalid input syntax for type halfvec: "[hello,1]"
-LINE 1: SELECT '[hello,1]'::halfvec;
-               ^
-SELECT '[NaN,1]'::halfvec;
-ERROR:  NaN not allowed in halfvec
-LINE 1: SELECT '[NaN,1]'::halfvec;
-               ^
-SELECT '[Infinity,1]'::halfvec;
-ERROR:  infinite value not allowed in halfvec
-LINE 1: SELECT '[Infinity,1]'::halfvec;
-               ^
-SELECT '[-Infinity,1]'::halfvec;
-ERROR:  infinite value not allowed in halfvec
-LINE 1: SELECT '[-Infinity,1]'::halfvec;
-               ^
-SELECT '[65519,-65519]'::halfvec;
-    halfvec     
-----------------
- [65504,-65504]
-(1 row)
-
-SELECT '[65520,-65520]'::halfvec;
-ERROR:  "65520" is out of range for type halfvec
-LINE 1: SELECT '[65520,-65520]'::halfvec;
-               ^
-SELECT '[1e-8,-1e-8]'::halfvec;
- halfvec 
----------
- [0,-0]
-(1 row)
-
-SELECT '[4e38,1]'::halfvec;
-ERROR:  "4e38" is out of range for type halfvec
-LINE 1: SELECT '[4e38,1]'::halfvec;
-               ^
-SELECT '[1e-46,1]'::halfvec;
- halfvec 
----------
- [0,1]
-(1 row)
-
-SELECT '[1,2,3'::halfvec;
-ERROR:  invalid input syntax for type halfvec: "[1,2,3"
-LINE 1: SELECT '[1,2,3'::halfvec;
-               ^
-SELECT '[1,2,3]9'::halfvec;
-ERROR:  invalid input syntax for type halfvec: "[1,2,3]9"
-LINE 1: SELECT '[1,2,3]9'::halfvec;
-               ^
-DETAIL:  Junk after closing right brace.
-SELECT '1,2,3'::halfvec;
-ERROR:  invalid input syntax for type halfvec: "1,2,3"
-LINE 1: SELECT '1,2,3'::halfvec;
-               ^
-DETAIL:  Vector contents must start with "[".
-SELECT ''::halfvec;
-ERROR:  invalid input syntax for type halfvec: ""
-LINE 1: SELECT ''::halfvec;
-               ^
-DETAIL:  Vector contents must start with "[".
-SELECT '['::halfvec;
-ERROR:  invalid input syntax for type halfvec: "["
-LINE 1: SELECT '['::halfvec;
-               ^
-SELECT '[ '::halfvec;
-ERROR:  invalid input syntax for type halfvec: "[ "
-LINE 1: SELECT '[ '::halfvec;
-               ^
-SELECT '[,'::halfvec;
-ERROR:  invalid input syntax for type halfvec: "[,"
-LINE 1: SELECT '[,'::halfvec;
-               ^
-SELECT '[]'::halfvec;
-ERROR:  halfvec must have at least 1 dimension
-LINE 1: SELECT '[]'::halfvec;
-               ^
-SELECT '[ ]'::halfvec;
-ERROR:  halfvec must have at least 1 dimension
-LINE 1: SELECT '[ ]'::halfvec;
-               ^
-SELECT '[,]'::halfvec;
-ERROR:  invalid input syntax for type halfvec: "[,]"
-LINE 1: SELECT '[,]'::halfvec;
-               ^
-SELECT '[1,]'::halfvec;
-ERROR:  invalid input syntax for type halfvec: "[1,]"
-LINE 1: SELECT '[1,]'::halfvec;
-               ^
-SELECT '[1a]'::halfvec;
-ERROR:  invalid input syntax for type halfvec: "[1a]"
-LINE 1: SELECT '[1a]'::halfvec;
-               ^
-SELECT '[1,,3]'::halfvec;
-ERROR:  invalid input syntax for type halfvec: "[1,,3]"
-LINE 1: SELECT '[1,,3]'::halfvec;
-               ^
-SELECT '[1, ,3]'::halfvec;
-ERROR:  invalid input syntax for type halfvec: "[1, ,3]"
-LINE 1: SELECT '[1, ,3]'::halfvec;
-               ^
-SELECT '[1,2,3]'::halfvec(3);
- halfvec 
----------
- [1,2,3]
-(1 row)
-
-SELECT '[1,2,3]'::halfvec(2);
-ERROR:  expected 2 dimensions, not 3
-SELECT '[1,2,3]'::halfvec(3, 2);
-ERROR:  invalid type modifier
-LINE 1: SELECT '[1,2,3]'::halfvec(3, 2);
-                          ^
-SELECT '[1,2,3]'::halfvec('a');
-ERROR:  invalid input syntax for type integer: "a"
-LINE 1: SELECT '[1,2,3]'::halfvec('a');
-                          ^
-SELECT '[1,2,3]'::halfvec(0);
-ERROR:  dimensions for type halfvec must be at least 1
-LINE 1: SELECT '[1,2,3]'::halfvec(0);
-                          ^
-SELECT '[1,2,3]'::halfvec(16001);
-ERROR:  dimensions for type halfvec cannot exceed 16000
-LINE 1: SELECT '[1,2,3]'::halfvec(16001);
-                          ^
-SELECT unnest('{"[1,2,3]", "[4,5,6]"}'::halfvec[]);
- unnest  
----------
- [1,2,3]
- [4,5,6]
-(2 rows)
-
-SELECT '{"[1,2,3]"}'::halfvec(2)[];
-ERROR:  expected 2 dimensions, not 3
-SELECT '[1,2,3]'::halfvec + '[4,5,6]';
- ?column? 
-----------
- [5,7,9]
-(1 row)
-
-SELECT '[65519]'::halfvec + '[65519]';
-ERROR:  value out of range: overflow
-SELECT '[1,2]'::halfvec + '[3]';
-ERROR:  different halfvec dimensions 2 and 1
-SELECT '[1,2,3]'::halfvec - '[4,5,6]';
-  ?column?  
-------------
- [-3,-3,-3]
-(1 row)
-
-SELECT '[-65519]'::halfvec - '[65519]';
-ERROR:  value out of range: overflow
-SELECT '[1,2]'::halfvec - '[3]';
-ERROR:  different halfvec dimensions 2 and 1
-SELECT '[1,2,3]'::halfvec * '[4,5,6]';
- ?column?  
------------
- [4,10,18]
-(1 row)
-
-SELECT '[65519]'::halfvec * '[65519]';
-ERROR:  value out of range: overflow
-SELECT '[1e-7]'::halfvec * '[1e-7]';
-ERROR:  value out of range: underflow
-SELECT '[1,2]'::halfvec * '[3]';
-ERROR:  different halfvec dimensions 2 and 1
-SELECT '[1,2,3]'::halfvec || '[4,5]';
-  ?column?   
--------------
- [1,2,3,4,5]
-(1 row)
-
-SELECT array_fill(0, ARRAY[16000])::halfvec || '[1]';
-ERROR:  halfvec cannot have more than 16000 dimensions
-SELECT '[1,2,3]'::halfvec < '[1,2,3]';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '[1,2,3]'::halfvec < '[1,2]';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '[1,2,3]'::halfvec <= '[1,2,3]';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT '[1,2,3]'::halfvec <= '[1,2]';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '[1,2,3]'::halfvec = '[1,2,3]';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT '[1,2,3]'::halfvec = '[1,2]';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '[1,2,3]'::halfvec != '[1,2,3]';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '[1,2,3]'::halfvec != '[1,2]';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT '[1,2,3]'::halfvec >= '[1,2,3]';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT '[1,2,3]'::halfvec >= '[1,2]';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT '[1,2,3]'::halfvec > '[1,2,3]';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '[1,2,3]'::halfvec > '[1,2]';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT halfvec_cmp('[1,2,3]', '[1,2,3]');
- halfvec_cmp 
--------------
-           0
-(1 row)
-
-SELECT halfvec_cmp('[1,2,3]', '[0,0,0]');
- halfvec_cmp 
--------------
-           1
-(1 row)
-
-SELECT halfvec_cmp('[0,0,0]', '[1,2,3]');
- halfvec_cmp 
--------------
-          -1
-(1 row)
-
-SELECT halfvec_cmp('[1,2]', '[1,2,3]');
- halfvec_cmp 
--------------
-          -1
-(1 row)
-
-SELECT halfvec_cmp('[1,2,3]', '[1,2]');
- halfvec_cmp 
--------------
-           1
-(1 row)
-
-SELECT halfvec_cmp('[1,2]', '[2,3,4]');
- halfvec_cmp 
--------------
-          -1
-(1 row)
-
-SELECT halfvec_cmp('[2,3]', '[1,2,3]');
- halfvec_cmp 
--------------
-           1
-(1 row)
-
-SELECT vector_dims('[1,2,3]'::halfvec);
- vector_dims 
--------------
-           3
-(1 row)
-
-SELECT round(l2_norm('[1,1]'::halfvec)::numeric, 5);
-  round  
----------
- 1.41421
-(1 row)
-
-SELECT l2_norm('[3,4]'::halfvec);
- l2_norm 
----------
-       5
-(1 row)
-
-SELECT l2_norm('[0,1]'::halfvec);
- l2_norm 
----------
-       1
-(1 row)
-
-SELECT l2_norm('[0,0]'::halfvec);
- l2_norm 
----------
-       0
-(1 row)
-
-SELECT l2_norm('[2]'::halfvec);
- l2_norm 
----------
-       2
-(1 row)
-
-SELECT l2_distance('[0,0]'::halfvec, '[3,4]');
- l2_distance 
--------------
-           5
-(1 row)
-
-SELECT l2_distance('[0,0]'::halfvec, '[0,1]');
- l2_distance 
--------------
-           1
-(1 row)
-
-SELECT l2_distance('[1,2]'::halfvec, '[3]');
-ERROR:  different halfvec dimensions 2 and 1
-SELECT l2_distance('[1,1,1,1,1,1,1,1,1]'::halfvec, '[1,1,1,1,1,1,1,4,5]');
- l2_distance 
--------------
-           5
-(1 row)
-
-SELECT '[0,0]'::halfvec <-> '[3,4]';
- ?column? 
-----------
-        5
-(1 row)
-
-SELECT inner_product('[1,2]'::halfvec, '[3,4]');
- inner_product 
----------------
-            11
-(1 row)
-
-SELECT inner_product('[1,2]'::halfvec, '[3]');
-ERROR:  different halfvec dimensions 2 and 1
-SELECT inner_product('[65504]'::halfvec, '[65504]');
- inner_product 
----------------
-    4290774016
-(1 row)
-
-SELECT inner_product('[1,1,1,1,1,1,1,1,1]'::halfvec, '[1,2,3,4,5,6,7,8,9]');
- inner_product 
----------------
-            45
-(1 row)
-
-SELECT '[1,2]'::halfvec <#> '[3,4]';
- ?column? 
-----------
-      -11
-(1 row)
-
-SELECT cosine_distance('[1,2]'::halfvec, '[2,4]');
- cosine_distance 
------------------
-               0
-(1 row)
-
-SELECT cosine_distance('[1,2]'::halfvec, '[0,0]');
- cosine_distance 
------------------
-             NaN
-(1 row)
-
-SELECT cosine_distance('[1,1]'::halfvec, '[1,1]');
- cosine_distance 
------------------
-               0
-(1 row)
-
-SELECT cosine_distance('[1,0]'::halfvec, '[0,2]');
- cosine_distance 
------------------
-               1
-(1 row)
-
-SELECT cosine_distance('[1,1]'::halfvec, '[-1,-1]');
- cosine_distance 
------------------
-               2
-(1 row)
-
-SELECT cosine_distance('[1,2]'::halfvec, '[3]');
-ERROR:  different halfvec dimensions 2 and 1
-SELECT cosine_distance('[1,1]'::halfvec, '[1.1,1.1]');
- cosine_distance 
------------------
-               0
-(1 row)
-
-SELECT cosine_distance('[1,1]'::halfvec, '[-1.1,-1.1]');
- cosine_distance 
------------------
-               2
-(1 row)
-
-SELECT cosine_distance('[1,2,3,4,5,6,7,8,9]'::halfvec, '[1,2,3,4,5,6,7,8,9]');
- cosine_distance 
------------------
-               0
-(1 row)
-
-SELECT cosine_distance('[1,2,3,4,5,6,7,8,9]'::halfvec, '[-1,-2,-3,-4,-5,-6,-7,-8,-9]');
- cosine_distance 
------------------
-               2
-(1 row)
-
-SELECT '[1,2]'::halfvec <=> '[2,4]';
- ?column? 
-----------
-        0
-(1 row)
-
-SELECT l1_distance('[0,0]'::halfvec, '[3,4]');
- l1_distance 
--------------
-           7
-(1 row)
-
-SELECT l1_distance('[0,0]'::halfvec, '[0,1]');
- l1_distance 
--------------
-           1
-(1 row)
-
-SELECT l1_distance('[1,2]'::halfvec, '[3]');
-ERROR:  different halfvec dimensions 2 and 1
-SELECT l1_distance('[1,2,3,4,5,6,7,8,9]'::halfvec, '[1,2,3,4,5,6,7,8,9]');
- l1_distance 
--------------
-           0
-(1 row)
-
-SELECT l1_distance('[1,2,3,4,5,6,7,8,9]'::halfvec, '[0,3,2,5,4,7,6,9,8]');
- l1_distance 
--------------
-           9
-(1 row)
-
-SELECT '[0,0]'::halfvec <+> '[3,4]';
- ?column? 
-----------
-        7
-(1 row)
-
-SELECT l2_normalize('[3,4]'::halfvec);
-      l2_normalize      
-------------------------
- [0.60009766,0.7998047]
-(1 row)
-
-SELECT l2_normalize('[3,0]'::halfvec);
- l2_normalize 
---------------
- [1,0]
-(1 row)
-
-SELECT l2_normalize('[0,0.1]'::halfvec);
- l2_normalize 
---------------
- [0,1]
-(1 row)
-
-SELECT l2_normalize('[0,0]'::halfvec);
- l2_normalize 
---------------
- [0,0]
-(1 row)
-
-SELECT l2_normalize('[65504]'::halfvec);
- l2_normalize 
---------------
- [1]
-(1 row)
-
-SELECT binary_quantize('[1,0,-1]'::halfvec);
- binary_quantize 
------------------
- 100
-(1 row)
-
-SELECT binary_quantize('[0,0.1,-0.2,-0.3,0.4,0.5,0.6,-0.7,0.8,-0.9,1]'::halfvec);
- binary_quantize 
------------------
- 01001110101
-(1 row)
-
-SELECT binary_quantize('[1,2,3,-4,5,6,-7,8,1,-2,-3,4,5,-6,7,8,-1,2,3]'::halfvec);
-   binary_quantize   
----------------------
- 1110110110011011011
-(1 row)
-
-SELECT subvector('[1,2,3,4,5]'::halfvec, 1, 3);
- subvector 
------------
- [1,2,3]
-(1 row)
-
-SELECT subvector('[1,2,3,4,5]'::halfvec, 3, 2);
- subvector 
------------
- [3,4]
-(1 row)
-
-SELECT subvector('[1,2,3,4,5]'::halfvec, -1, 3);
- subvector 
------------
- [1]
-(1 row)
-
-SELECT subvector('[1,2,3,4,5]'::halfvec, 3, 9);
- subvector 
------------
- [3,4,5]
-(1 row)
-
-SELECT subvector('[1,2,3,4,5]'::halfvec, 1, 0);
-ERROR:  halfvec must have at least 1 dimension
-SELECT subvector('[1,2,3,4,5]'::halfvec, 3, -1);
-ERROR:  halfvec must have at least 1 dimension
-SELECT subvector('[1,2,3,4,5]'::halfvec, -1, 2);
-ERROR:  halfvec must have at least 1 dimension
-SELECT subvector('[1,2,3,4,5]'::halfvec, 2147483647, 10);
-ERROR:  halfvec must have at least 1 dimension
-SELECT subvector('[1,2,3,4,5]'::halfvec, 3, 2147483647);
- subvector 
------------
- [3,4,5]
-(1 row)
-
-SELECT subvector('[1,2,3,4,5]'::halfvec, -2147483644, 2147483647);
- subvector 
------------
- [1,2]
-(1 row)
-
-SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::halfvec, '[3,5,7]']) v;
-    avg    
------------
- [2,3.5,5]
-(1 row)
-
-SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::halfvec, '[3,5,7]', NULL]) v;
-    avg    
------------
- [2,3.5,5]
-(1 row)
-
-SELECT avg(v) FROM unnest(ARRAY[]::halfvec[]) v;
- avg 
------
- 
-(1 row)
-
-SELECT avg(v) FROM unnest(ARRAY['[1,2]'::halfvec, '[3]']) v;
-ERROR:  expected 2 dimensions, not 1
-SELECT avg(v) FROM unnest(ARRAY['[65504]'::halfvec, '[65504]']) v;
-   avg   
----------
- [65504]
-(1 row)
-
-SELECT halfvec_avg(array_agg(n)) FROM generate_series(1, 16002) n;
-ERROR:  halfvec cannot have more than 16000 dimensions
-SELECT sum(v) FROM unnest(ARRAY['[1,2,3]'::halfvec, '[3,5,7]']) v;
-   sum    
-----------
- [4,7,10]
-(1 row)
-
-SELECT sum(v) FROM unnest(ARRAY['[1,2,3]'::halfvec, '[3,5,7]', NULL]) v;
-   sum    
-----------
- [4,7,10]
-(1 row)
-
-SELECT sum(v) FROM unnest(ARRAY[]::halfvec[]) v;
- sum 
------
- 
-(1 row)
-
-SELECT sum(v) FROM unnest(ARRAY['[1,2]'::halfvec, '[3]']) v;
-ERROR:  different halfvec dimensions 2 and 1
-SELECT sum(v) FROM unnest(ARRAY['[65504]'::halfvec, '[65504]']) v;
-ERROR:  value out of range: overflow

test/expected/hnsw_bit.out

@@ -1,59 +0,0 @@
-SET enable_seqscan = off;
--- hamming
-CREATE TABLE t (val bit(3));
-INSERT INTO t (val) VALUES (B'000'), (B'100'), (B'111'), (NULL);
-CREATE INDEX ON t USING hnsw (val bit_hamming_ops);
-INSERT INTO t (val) VALUES (B'110');
-SELECT * FROM t ORDER BY val <~> B'111';
- val 
------
- 111
- 110
- 100
- 000
-(4 rows)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <~> (SELECT NULL::bit)) t2;
- count 
--------
-     4
-(1 row)
-
-DROP TABLE t;
--- jaccard
-CREATE TABLE t (val bit(4));
-INSERT INTO t (val) VALUES (B'0000'), (B'1100'), (B'1111'), (NULL);
-CREATE INDEX ON t USING hnsw (val bit_jaccard_ops);
-INSERT INTO t (val) VALUES (B'1110');
-SELECT * FROM t ORDER BY val <%> B'1111';
- val  
-------
- 1111
- 1110
- 1100
- 0000
-(4 rows)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <%> (SELECT NULL::bit)) t2;
- count 
--------
-     4
-(1 row)
-
-DROP TABLE t;
--- varbit
-CREATE TABLE t (val varbit(3));
-CREATE INDEX ON t USING hnsw (val bit_hamming_ops);
-ERROR:  type not supported for hnsw index
-CREATE INDEX ON t USING hnsw ((val::bit(3)) bit_hamming_ops);
-CREATE INDEX ON t USING hnsw ((val::bit(64001)) bit_hamming_ops);
-ERROR:  column cannot have more than 64000 dimensions for hnsw index
-DROP TABLE t;
--- dimensions
-CREATE TABLE t (val bit(64000));
-CREATE INDEX ON t USING hnsw (val bit_hamming_ops);
-DROP TABLE t;
-CREATE TABLE t (val bit(64001));
-CREATE INDEX ON t USING hnsw (val bit_hamming_ops);
-ERROR:  column cannot have more than 64000 dimensions for hnsw index
-DROP TABLE t;

test/expected/hnsw_cosine.out

@@ -0,0 +1,26 @@
+SET enable_seqscan = off;
+CREATE TABLE t (val vector(3));
+INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
+CREATE INDEX ON t USING hnsw (val vector_cosine_ops);
+INSERT INTO t (val) VALUES ('[1,2,4]');
+SELECT * FROM t ORDER BY val <=> '[3,3,3]';
+   val   
+---------
+ [1,1,1]
+ [1,2,3]
+ [1,2,4]
+(3 rows)
+
+SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '[0,0,0]') t2;
+ count 
+-------
+     3
+(1 row)
+
+SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::vector)) t2;
+ count 
+-------
+     3
+(1 row)
+
+DROP TABLE t;

test/expected/hnsw_halfvec.out

@@ -1,110 +0,0 @@
-SET enable_seqscan = off;
--- L2
-CREATE TABLE t (val halfvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val halfvec_l2_ops);
-INSERT INTO t (val) VALUES ('[1,2,4]');
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-   val   
----------
- [1,2,3]
- [1,2,4]
- [1,1,1]
- [0,0,0]
-(4 rows)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <-> (SELECT NULL::halfvec)) t2;
- count 
--------
-     4
-(1 row)
-
-SELECT COUNT(*) FROM t;
- count 
--------
-     5
-(1 row)
-
-TRUNCATE t;
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
- val 
------
-(0 rows)
-
-DROP TABLE t;
--- inner product
-CREATE TABLE t (val halfvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val halfvec_ip_ops);
-INSERT INTO t (val) VALUES ('[1,2,4]');
-SELECT * FROM t ORDER BY val <#> '[3,3,3]';
-   val   
----------
- [1,2,4]
- [1,2,3]
- [1,1,1]
- [0,0,0]
-(4 rows)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <#> (SELECT NULL::halfvec)) t2;
- count 
--------
-     4
-(1 row)
-
-DROP TABLE t;
--- cosine
-CREATE TABLE t (val halfvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val halfvec_cosine_ops);
-INSERT INTO t (val) VALUES ('[1,2,4]');
-SELECT * FROM t ORDER BY val <=> '[3,3,3]';
-   val   
----------
- [1,1,1]
- [1,2,3]
- [1,2,4]
-(3 rows)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '[0,0,0]') t2;
- count 
--------
-     3
-(1 row)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::halfvec)) t2;
- count 
--------
-     3
-(1 row)
-
-DROP TABLE t;
--- L1
-CREATE TABLE t (val halfvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val halfvec_l1_ops);
-INSERT INTO t (val) VALUES ('[1,2,4]');
-SELECT * FROM t ORDER BY val <+> '[3,3,3]';
-   val   
----------
- [1,2,3]
- [1,2,4]
- [1,1,1]
- [0,0,0]
-(4 rows)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <+> (SELECT NULL::halfvec)) t2;
- count 
--------
-     4
-(1 row)
-
-DROP TABLE t;
--- dimensions
-CREATE TABLE t (val halfvec(4000));
-CREATE INDEX ON t USING hnsw (val halfvec_l2_ops);
-DROP TABLE t;
-CREATE TABLE t (val halfvec(4001));
-CREATE INDEX ON t USING hnsw (val halfvec_l2_ops);
-ERROR:  column cannot have more than 4000 dimensions for hnsw index
-DROP TABLE t;

test/expected/hnsw_ip.out

@@ -0,0 +1,21 @@
+SET enable_seqscan = off;
+CREATE TABLE t (val vector(3));
+INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
+CREATE INDEX ON t USING hnsw (val vector_ip_ops);
+INSERT INTO t (val) VALUES ('[1,2,4]');
+SELECT * FROM t ORDER BY val <#> '[3,3,3]';
+   val   
+---------
+ [1,2,4]
+ [1,2,3]
+ [1,1,1]
+ [0,0,0]
+(4 rows)
+
+SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <#> (SELECT NULL::vector)) t2;
+ count 
+-------
+     4
+(1 row)
+
+DROP TABLE t;

test/expected/hnsw_l2.out

@@ -0,0 +1,36 @@
+SET enable_seqscan = off;
+CREATE TABLE t (val vector(3));
+INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
+CREATE INDEX ON t USING hnsw (val vector_l2_ops);
+INSERT INTO t (val) VALUES ('[1,2,4]');
+SELECT * FROM t ORDER BY val <-> '[3,3,3]';
+   val   
+---------
+ [1,2,3]
+ [1,2,4]
+ [1,1,1]
+ [0,0,0]
+(4 rows)
+
+SELECT * FROM t ORDER BY val <-> (SELECT NULL::vector);
+   val   
+---------
+ [0,0,0]
+ [1,1,1]
+ [1,2,3]
+ [1,2,4]
+(4 rows)
+
+SELECT COUNT(*) FROM t;
+ count 
+-------
+     5
+(1 row)
+
+TRUNCATE t;
+SELECT * FROM t ORDER BY val <-> '[3,3,3]';
+ val 
+-----
+(0 rows)
+
+DROP TABLE t;

test/expected/hnsw_options.out

@@ -0,0 +1,26 @@
+CREATE TABLE t (val vector(3));
+CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (m = 1);
+ERROR:  value 1 out of bounds for option "m"
+DETAIL:  Valid values are between "2" and "100".
+CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (m = 101);
+ERROR:  value 101 out of bounds for option "m"
+DETAIL:  Valid values are between "2" and "100".
+CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (ef_construction = 3);
+ERROR:  value 3 out of bounds for option "ef_construction"
+DETAIL:  Valid values are between "4" and "1000".
+CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (ef_construction = 1001);
+ERROR:  value 1001 out of bounds for option "ef_construction"
+DETAIL:  Valid values are between "4" and "1000".
+CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (m = 16, ef_construction = 31);
+ERROR:  ef_construction must be greater than or equal to 2 * m
+SHOW hnsw.ef_search;
+ hnsw.ef_search 
+----------------
+ 40
+(1 row)
+
+SET hnsw.ef_search = 0;
+ERROR:  0 is outside the valid range for parameter "hnsw.ef_search" (1 .. 1000)
+SET hnsw.ef_search = 1001;
+ERROR:  1001 is outside the valid range for parameter "hnsw.ef_search" (1 .. 1000)
+DROP TABLE t;

test/expected/hnsw_sparsevec.out

@@ -1,112 +0,0 @@
-SET enable_seqscan = off;
--- L2
-CREATE TABLE t (val sparsevec(3));
-INSERT INTO t (val) VALUES ('{}/3'), ('{1:1,2:2,3:3}/3'), ('{1:1,2:1,3:1}/3'), (NULL);
-CREATE INDEX ON t USING hnsw (val sparsevec_l2_ops);
-INSERT INTO t (val) VALUES ('{1:1,2:2,3:4}/3');
-SELECT * FROM t ORDER BY val <-> '{1:3,2:3,3:3}/3';
-       val       
------------------
- {1:1,2:2,3:3}/3
- {1:1,2:2,3:4}/3
- {1:1,2:1,3:1}/3
- {}/3
-(4 rows)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <-> (SELECT NULL::sparsevec)) t2;
- count 
--------
-     4
-(1 row)
-
-SELECT COUNT(*) FROM t;
- count 
--------
-     5
-(1 row)
-
-TRUNCATE t;
-SELECT * FROM t ORDER BY val <-> '{1:3,2:3,3:3}/3';
- val 
------
-(0 rows)
-
-DROP TABLE t;
--- inner product
-CREATE TABLE t (val sparsevec(3));
-INSERT INTO t (val) VALUES ('{}/3'), ('{1:1,2:2,3:3}/3'), ('{1:1,2:1,3:1}/3'), (NULL);
-CREATE INDEX ON t USING hnsw (val sparsevec_ip_ops);
-INSERT INTO t (val) VALUES ('{1:1,2:2,3:4}/3');
-SELECT * FROM t ORDER BY val <#> '{1:3,2:3,3:3}/3';
-       val       
------------------
- {1:1,2:2,3:4}/3
- {1:1,2:2,3:3}/3
- {1:1,2:1,3:1}/3
- {}/3
-(4 rows)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <#> (SELECT NULL::sparsevec)) t2;
- count 
--------
-     4
-(1 row)
-
-DROP TABLE t;
--- cosine
-CREATE TABLE t (val sparsevec(3));
-INSERT INTO t (val) VALUES ('{}/3'), ('{1:1,2:2,3:3}/3'), ('{1:1,2:1,3:1}/3'), (NULL);
-CREATE INDEX ON t USING hnsw (val sparsevec_cosine_ops);
-INSERT INTO t (val) VALUES ('{1:1,2:2,3:4}/3');
-SELECT * FROM t ORDER BY val <=> '{1:3,2:3,3:3}/3';
-       val       
------------------
- {1:1,2:1,3:1}/3
- {1:1,2:2,3:3}/3
- {1:1,2:2,3:4}/3
-(3 rows)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '{}/3') t2;
- count 
--------
-     3
-(1 row)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::sparsevec)) t2;
- count 
--------
-     3
-(1 row)
-
-DROP TABLE t;
--- L1
-CREATE TABLE t (val sparsevec(3));
-INSERT INTO t (val) VALUES ('{}/3'), ('{1:1,2:2,3:3}/3'), ('{1:1,2:1,3:1}/3'), (NULL);
-CREATE INDEX ON t USING hnsw (val sparsevec_l1_ops);
-INSERT INTO t (val) VALUES ('{1:1,2:2,3:4}/3');
-SELECT * FROM t ORDER BY val <+> '{1:3,2:3,3:3}/3';
-       val       
------------------
- {1:1,2:2,3:3}/3
- {1:1,2:2,3:4}/3
- {1:1,2:1,3:1}/3
- {}/3
-(4 rows)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <+> (SELECT NULL::sparsevec)) t2;
- count 
--------
-     4
-(1 row)
-
-DROP TABLE t;
--- non-zero elements
-CREATE TABLE t (val sparsevec(1001));
-INSERT INTO t (val) VALUES (array_fill(1, ARRAY[1001])::vector::sparsevec);
-CREATE INDEX ON t USING hnsw (val sparsevec_l2_ops);
-ERROR:  sparsevec cannot have more than 1000 non-zero elements for hnsw index
-TRUNCATE t;
-CREATE INDEX ON t USING hnsw (val sparsevec_l2_ops);
-INSERT INTO t (val) VALUES (array_fill(1, ARRAY[1001])::vector::sparsevec);
-ERROR:  sparsevec cannot have more than 1000 non-zero elements for hnsw index
-DROP TABLE t;

test/expected/hnsw_unlogged.out

@@ -0,0 +1,13 @@
+SET enable_seqscan = off;
+CREATE UNLOGGED TABLE t (val vector(3));
+INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
+CREATE INDEX ON t USING hnsw (val vector_l2_ops);
+SELECT * FROM t ORDER BY val <-> '[3,3,3]';
+   val   
+---------
+ [1,2,3]
+ [1,1,1]
+ [0,0,0]
+(3 rows)
+
+DROP TABLE t;

test/expected/hnsw_vector.out

@@ -1,209 +0,0 @@
-SET enable_seqscan = off;
--- L2
-CREATE TABLE t (val vector(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val vector_l2_ops);
-INSERT INTO t (val) VALUES ('[1,2,4]');
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-   val   
----------
- [1,2,3]
- [1,2,4]
- [1,1,1]
- [0,0,0]
-(4 rows)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <-> (SELECT NULL::vector)) t2;
- count 
--------
-     4
-(1 row)
-
-SELECT COUNT(*) FROM t;
- count 
--------
-     5
-(1 row)
-
-TRUNCATE t;
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
- val 
------
-(0 rows)
-
-DROP TABLE t;
--- inner product
-CREATE TABLE t (val vector(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val vector_ip_ops);
-INSERT INTO t (val) VALUES ('[1,2,4]');
-SELECT * FROM t ORDER BY val <#> '[3,3,3]';
-   val   
----------
- [1,2,4]
- [1,2,3]
- [1,1,1]
- [0,0,0]
-(4 rows)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <#> (SELECT NULL::vector)) t2;
- count 
--------
-     4
-(1 row)
-
-DROP TABLE t;
--- cosine
-CREATE TABLE t (val vector(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val vector_cosine_ops);
-INSERT INTO t (val) VALUES ('[1,2,4]');
-SELECT * FROM t ORDER BY val <=> '[3,3,3]';
-   val   
----------
- [1,1,1]
- [1,2,3]
- [1,2,4]
-(3 rows)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '[0,0,0]') t2;
- count 
--------
-     3
-(1 row)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::vector)) t2;
- count 
--------
-     3
-(1 row)
-
-DROP TABLE t;
--- L1
-CREATE TABLE t (val vector(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val vector_l1_ops);
-INSERT INTO t (val) VALUES ('[1,2,4]');
-SELECT * FROM t ORDER BY val <+> '[3,3,3]';
-   val   
----------
- [1,2,3]
- [1,2,4]
- [1,1,1]
- [0,0,0]
-(4 rows)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <+> (SELECT NULL::vector)) t2;
- count 
--------
-     4
-(1 row)
-
-DROP TABLE t;
--- iterative
-CREATE TABLE t (val vector(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val vector_l2_ops);
-SET hnsw.iterative_scan = strict_order;
-SET hnsw.ef_search = 1;
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-   val   
----------
- [1,2,3]
- [1,1,1]
- [0,0,0]
-(3 rows)
-
-SET hnsw.iterative_scan = relaxed_order;
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-   val   
----------
- [1,2,3]
- [1,1,1]
- [0,0,0]
-(3 rows)
-
-TRUNCATE t;
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
- val 
------
-(0 rows)
-
-RESET hnsw.iterative_scan;
-RESET hnsw.ef_search;
-DROP TABLE t;
--- unlogged
-CREATE UNLOGGED TABLE t (val vector(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val vector_l2_ops);
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-   val   
----------
- [1,2,3]
- [1,1,1]
- [0,0,0]
-(3 rows)
-
-DROP TABLE t;
--- options
-CREATE TABLE t (val vector(3));
-CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (m = 1);
-ERROR:  value 1 out of bounds for option "m"
-DETAIL:  Valid values are between "2" and "100".
-CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (m = 101);
-ERROR:  value 101 out of bounds for option "m"
-DETAIL:  Valid values are between "2" and "100".
-CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (ef_construction = 3);
-ERROR:  value 3 out of bounds for option "ef_construction"
-DETAIL:  Valid values are between "4" and "1000".
-CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (ef_construction = 1001);
-ERROR:  value 1001 out of bounds for option "ef_construction"
-DETAIL:  Valid values are between "4" and "1000".
-CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (m = 16, ef_construction = 31);
-ERROR:  ef_construction must be greater than or equal to 2 * m
-DROP TABLE t;
-SHOW hnsw.ef_search;
- hnsw.ef_search 
-----------------
- 40
-(1 row)
-
-SET hnsw.ef_search = 0;
-ERROR:  0 is outside the valid range for parameter "hnsw.ef_search" (1 .. 1000)
-SET hnsw.ef_search = 1001;
-ERROR:  1001 is outside the valid range for parameter "hnsw.ef_search" (1 .. 1000)
-SHOW hnsw.iterative_scan;
- hnsw.iterative_scan 
----------------------
- off
-(1 row)
-
-SET hnsw.iterative_scan = on;
-ERROR:  invalid value for parameter "hnsw.iterative_scan": "on"
-HINT:  Available values: off, relaxed_order, strict_order.
-SHOW hnsw.max_scan_tuples;
- hnsw.max_scan_tuples 
-----------------------
- 20000
-(1 row)
-
-SET hnsw.max_scan_tuples = 0;
-ERROR:  0 is outside the valid range for parameter "hnsw.max_scan_tuples" (1 .. 2147483647)
-SHOW hnsw.scan_mem_multiplier;
- hnsw.scan_mem_multiplier 
---------------------------
- 1
-(1 row)
-
-SET hnsw.scan_mem_multiplier = 0;
-ERROR:  0 is outside the valid range for parameter "hnsw.scan_mem_multiplier" (1 .. 1000)
-SET hnsw.scan_mem_multiplier = 1001;
-ERROR:  1001 is outside the valid range for parameter "hnsw.scan_mem_multiplier" (1 .. 1000)
--- dimensions
-CREATE TABLE t (val vector(2000));
-CREATE INDEX ON t USING hnsw (val vector_l2_ops);
-DROP TABLE t;
-CREATE TABLE t (val vector(2001));
-CREATE INDEX ON t USING hnsw (val vector_l2_ops);
-ERROR:  column cannot have more than 2000 dimensions for hnsw index
-DROP TABLE t;

test/expected/input.out

@@ -0,0 +1,129 @@
+SELECT '[1,2,3]'::vector;
+ vector  
+---------
+ [1,2,3]
+(1 row)
+
+SELECT '[-1,-2,-3]'::vector;
+   vector   
+------------
+ [-1,-2,-3]
+(1 row)
+
+SELECT '[1.,2.,3.]'::vector;
+ vector  
+---------
+ [1,2,3]
+(1 row)
+
+SELECT ' [ 1,  2 ,    3  ] '::vector;
+ vector  
+---------
+ [1,2,3]
+(1 row)
+
+SELECT '[1.23456]'::vector;
+  vector   
+-----------
+ [1.23456]
+(1 row)
+
+SELECT '[hello,1]'::vector;
+ERROR:  invalid input syntax for type vector: "[hello,1]"
+LINE 1: SELECT '[hello,1]'::vector;
+               ^
+SELECT '[NaN,1]'::vector;
+ERROR:  NaN not allowed in vector
+LINE 1: SELECT '[NaN,1]'::vector;
+               ^
+SELECT '[Infinity,1]'::vector;
+ERROR:  infinite value not allowed in vector
+LINE 1: SELECT '[Infinity,1]'::vector;
+               ^
+SELECT '[-Infinity,1]'::vector;
+ERROR:  infinite value not allowed in vector
+LINE 1: SELECT '[-Infinity,1]'::vector;
+               ^
+SELECT '[1.5e38,-1.5e38]'::vector;
+       vector       
+--------------------
+ [1.5e+38,-1.5e+38]
+(1 row)
+
+SELECT '[1.5e+38,-1.5e+38]'::vector;
+       vector       
+--------------------
+ [1.5e+38,-1.5e+38]
+(1 row)
+
+SELECT '[1.5e-38,-1.5e-38]'::vector;
+       vector       
+--------------------
+ [1.5e-38,-1.5e-38]
+(1 row)
+
+SELECT '[4e38,1]'::vector;
+ERROR:  infinite value not allowed in vector
+LINE 1: SELECT '[4e38,1]'::vector;
+               ^
+SELECT '[1,2,3'::vector;
+ERROR:  malformed vector literal: "[1,2,3"
+LINE 1: SELECT '[1,2,3'::vector;
+               ^
+DETAIL:  Unexpected end of input.
+SELECT '[1,2,3]9'::vector;
+ERROR:  malformed vector literal: "[1,2,3]9"
+LINE 1: SELECT '[1,2,3]9'::vector;
+               ^
+DETAIL:  Junk after closing right brace.
+SELECT '1,2,3'::vector;
+ERROR:  malformed vector literal: "1,2,3"
+LINE 1: SELECT '1,2,3'::vector;
+               ^
+DETAIL:  Vector contents must start with "[".
+SELECT ''::vector;
+ERROR:  malformed vector literal: ""
+LINE 1: SELECT ''::vector;
+               ^
+DETAIL:  Vector contents must start with "[".
+SELECT '['::vector;
+ERROR:  malformed vector literal: "["
+LINE 1: SELECT '['::vector;
+               ^
+DETAIL:  Unexpected end of input.
+SELECT '[,'::vector;
+ERROR:  malformed vector literal: "[,"
+LINE 1: SELECT '[,'::vector;
+               ^
+DETAIL:  Unexpected end of input.
+SELECT '[]'::vector;
+ERROR:  vector must have at least 1 dimension
+LINE 1: SELECT '[]'::vector;
+               ^
+SELECT '[1,]'::vector;
+ERROR:  invalid input syntax for type vector: "[1,]"
+LINE 1: SELECT '[1,]'::vector;
+               ^
+SELECT '[1a]'::vector;
+ERROR:  invalid input syntax for type vector: "[1a]"
+LINE 1: SELECT '[1a]'::vector;
+               ^
+SELECT '[1,,3]'::vector;
+ERROR:  malformed vector literal: "[1,,3]"
+LINE 1: SELECT '[1,,3]'::vector;
+               ^
+SELECT '[1, ,3]'::vector;
+ERROR:  invalid input syntax for type vector: "[1, ,3]"
+LINE 1: SELECT '[1, ,3]'::vector;
+               ^
+SELECT '[1,2,3]'::vector(2);
+ERROR:  expected 2 dimensions, not 3
+SELECT unnest('{"[1,2,3]", "[4,5,6]"}'::vector[]);
+ unnest  
+---------
+ [1,2,3]
+ [4,5,6]
+(2 rows)
+
+SELECT '{"[1,2,3]"}'::vector(2)[];
+ERROR:  expected 2 dimensions, not 3

test/expected/ivfflat_bit.out

@@ -1,66 +0,0 @@
-SET enable_seqscan = off;
--- hamming
-CREATE TABLE t (val bit(3));
-INSERT INTO t (val) VALUES (B'000'), (B'100'), (B'111'), (NULL);
-CREATE INDEX ON t USING ivfflat (val bit_hamming_ops) WITH (lists = 1);
-INSERT INTO t (val) VALUES (B'110');
-SELECT * FROM t ORDER BY val <~> B'111';
- val 
------
- 111
- 110
- 100
- 000
-(4 rows)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <~> (SELECT NULL::bit)) t2;
- count 
--------
-     4
-(1 row)
-
-DROP TABLE t;
--- varbit
-CREATE TABLE t (val varbit(3));
-CREATE INDEX ON t USING ivfflat (val bit_hamming_ops) WITH (lists = 1);
-ERROR:  type not supported for ivfflat index
-CREATE INDEX ON t USING ivfflat ((val::bit(3)) bit_hamming_ops) WITH (lists = 1);
-NOTICE:  ivfflat index created with little data
-DETAIL:  This will cause low recall.
-HINT:  Drop the index until the table has more data.
-CREATE INDEX ON t USING ivfflat ((val::bit(64001)) bit_hamming_ops) WITH (lists = 1);
-ERROR:  column cannot have more than 64000 dimensions for ivfflat index
-CREATE INDEX ON t USING ivfflat ((val::bit(2)) bit_hamming_ops) WITH (lists = 5);
-NOTICE:  ivfflat index created with little data
-DETAIL:  This will cause low recall.
-HINT:  Drop the index until the table has more data.
-DROP TABLE t;
--- dimensions
-CREATE TABLE t (val bit(64000));
-CREATE INDEX ON t USING ivfflat (val bit_hamming_ops);
-NOTICE:  ivfflat index created with little data
-DETAIL:  This will cause low recall.
-HINT:  Drop the index until the table has more data.
-DROP TABLE t;
-CREATE TABLE t (val bit(64001));
-CREATE INDEX ON t USING ivfflat (val bit_hamming_ops);
-ERROR:  column cannot have more than 64000 dimensions for ivfflat index
-DROP TABLE t;
--- memory
-SET maintenance_work_mem = '1MB';
-CREATE TABLE t (val bit(64000));
-CREATE INDEX ON t USING ivfflat (val bit_hamming_ops);
-NOTICE:  ivfflat index created with little data
-DETAIL:  This will cause low recall.
-HINT:  Drop the index until the table has more data.
-DROP TABLE t;
-RESET maintenance_work_mem;
-SET maintenance_work_mem = '29MB';
-CREATE TABLE t (val bit(64000));
-INSERT INTO t (val) VALUES (B'0'::bit(64000));
-CREATE INDEX ON t USING ivfflat (val bit_hamming_ops);
-NOTICE:  ivfflat index created with little data
-DETAIL:  This will cause low recall.
-HINT:  Drop the index until the table has more data.
-DROP TABLE t;
-RESET maintenance_work_mem;

test/expected/ivfflat_cosine.out

@@ -0,0 +1,26 @@
+SET enable_seqscan = off;
+CREATE TABLE t (val vector(3));
+INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
+CREATE INDEX ON t USING ivfflat (val vector_cosine_ops) WITH (lists = 1);
+INSERT INTO t (val) VALUES ('[1,2,4]');
+SELECT * FROM t ORDER BY val <=> '[3,3,3]';
+   val   
+---------
+ [1,1,1]
+ [1,2,3]
+ [1,2,4]
+(3 rows)
+
+SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '[0,0,0]') t2;
+ count 
+-------
+     3
+(1 row)
+
+SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::vector)) t2;
+ count 
+-------
+     3
+(1 row)
+
+DROP TABLE t;

test/expected/ivfflat_halfvec.out

@@ -1,113 +0,0 @@
-SET enable_seqscan = off;
--- L2
-CREATE TABLE t (val halfvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING ivfflat (val halfvec_l2_ops) WITH (lists = 1);
-INSERT INTO t (val) VALUES ('[1,2,4]');
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-   val   
----------
- [1,2,3]
- [1,2,4]
- [1,1,1]
- [0,0,0]
-(4 rows)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <-> (SELECT NULL::halfvec)) t2;
- count 
--------
-     4
-(1 row)
-
-SELECT COUNT(*) FROM t;
- count 
--------
-     5
-(1 row)
-
-TRUNCATE t;
-NOTICE:  ivfflat index created with little data
-DETAIL:  This will cause low recall.
-HINT:  Drop the index until the table has more data.
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
- val 
------
-(0 rows)
-
-DROP TABLE t;
--- inner product
-CREATE TABLE t (val halfvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING ivfflat (val halfvec_ip_ops) WITH (lists = 1);
-INSERT INTO t (val) VALUES ('[1,2,4]');
-SELECT * FROM t ORDER BY val <#> '[3,3,3]';
-   val   
----------
- [1,2,4]
- [1,2,3]
- [1,1,1]
- [0,0,0]
-(4 rows)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <#> (SELECT NULL::halfvec)) t2;
- count 
--------
-     4
-(1 row)
-
-DROP TABLE t;
--- cosine
-CREATE TABLE t (val halfvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING ivfflat (val halfvec_cosine_ops) WITH (lists = 1);
-INSERT INTO t (val) VALUES ('[1,2,4]');
-SELECT * FROM t ORDER BY val <=> '[3,3,3]';
-   val   
----------
- [1,1,1]
- [1,2,3]
- [1,2,4]
-(3 rows)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '[0,0,0]') t2;
- count 
--------
-     3
-(1 row)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::halfvec)) t2;
- count 
--------
-     3
-(1 row)
-
-DROP TABLE t;
--- dimensions
-CREATE TABLE t (val halfvec(4000));
-CREATE INDEX ON t USING ivfflat (val halfvec_l2_ops);
-NOTICE:  ivfflat index created with little data
-DETAIL:  This will cause low recall.
-HINT:  Drop the index until the table has more data.
-DROP TABLE t;
-CREATE TABLE t (val halfvec(4001));
-CREATE INDEX ON t USING ivfflat (val halfvec_l2_ops);
-ERROR:  column cannot have more than 4000 dimensions for ivfflat index
-DROP TABLE t;
--- memory
-SET maintenance_work_mem = '1MB';
-CREATE TABLE t (val halfvec(4000));
-CREATE INDEX ON t USING ivfflat (val halfvec_l2_ops);
-NOTICE:  ivfflat index created with little data
-DETAIL:  This will cause low recall.
-HINT:  Drop the index until the table has more data.
-DROP TABLE t;
-RESET maintenance_work_mem;
-SET maintenance_work_mem = '6MB';
-CREATE TABLE t (val halfvec(4000));
-INSERT INTO t (val) VALUES (array_fill(0, ARRAY[4000]));
-CREATE INDEX ON t USING ivfflat (val halfvec_l2_ops);
-NOTICE:  ivfflat index created with little data
-DETAIL:  This will cause low recall.
-HINT:  Drop the index until the table has more data.
-DROP TABLE t;
-RESET maintenance_work_mem;

test/expected/ivfflat_ip.out

@@ -0,0 +1,21 @@
+SET enable_seqscan = off;
+CREATE TABLE t (val vector(3));
+INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
+CREATE INDEX ON t USING ivfflat (val vector_ip_ops) WITH (lists = 1);
+INSERT INTO t (val) VALUES ('[1,2,4]');
+SELECT * FROM t ORDER BY val <#> '[3,3,3]';
+   val   
+---------
+ [1,2,4]
+ [1,2,3]
+ [1,1,1]
+ [0,0,0]
+(4 rows)
+
+SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <#> (SELECT NULL::vector)) t2;
+ count 
+-------
+     4
+(1 row)
+
+DROP TABLE t;

test/expected/ivfflat_l2.out

@@ -0,0 +1,39 @@
+SET enable_seqscan = off;
+CREATE TABLE t (val vector(3));
+INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
+CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 1);
+INSERT INTO t (val) VALUES ('[1,2,4]');
+SELECT * FROM t ORDER BY val <-> '[3,3,3]';
+   val   
+---------
+ [1,2,3]
+ [1,2,4]
+ [1,1,1]
+ [0,0,0]
+(4 rows)
+
+SELECT * FROM t ORDER BY val <-> (SELECT NULL::vector);
+   val   
+---------
+ [0,0,0]
+ [1,1,1]
+ [1,2,3]
+ [1,2,4]
+(4 rows)
+
+SELECT COUNT(*) FROM t;
+ count 
+-------
+     5
+(1 row)
+
+TRUNCATE t;
+NOTICE:  ivfflat index created with little data
+DETAIL:  This will cause low recall.
+HINT:  Drop the index until the table has more data.
+SELECT * FROM t ORDER BY val <-> '[3,3,3]';
+ val 
+-----
+(0 rows)
+
+DROP TABLE t;

test/expected/ivfflat_options.out

@@ -0,0 +1,14 @@
+CREATE TABLE t (val vector(3));
+CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 0);
+ERROR:  value 0 out of bounds for option "lists"
+DETAIL:  Valid values are between "1" and "32768".
+CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 32769);
+ERROR:  value 32769 out of bounds for option "lists"
+DETAIL:  Valid values are between "1" and "32768".
+SHOW ivfflat.probes;
+ ivfflat.probes 
+----------------
+ 1
+(1 row)
+
+DROP TABLE t;

test/expected/ivfflat_unlogged.out

@@ -0,0 +1,13 @@
+SET enable_seqscan = off;
+CREATE UNLOGGED TABLE t (val vector(3));
+INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
+CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 1);
+SELECT * FROM t ORDER BY val <-> '[3,3,3]';
+   val   
+---------
+ [1,2,3]
+ [1,1,1]
+ [0,0,0]
+(3 rows)
+
+DROP TABLE t;

test/expected/ivfflat_vector.out

@@ -1,204 +0,0 @@
-SET enable_seqscan = off;
--- L2
-CREATE TABLE t (val vector(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 1);
-INSERT INTO t (val) VALUES ('[1,2,4]');
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-   val   
----------
- [1,2,3]
- [1,2,4]
- [1,1,1]
- [0,0,0]
-(4 rows)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <-> (SELECT NULL::vector)) t2;
- count 
--------
-     4
-(1 row)
-
-SELECT COUNT(*) FROM t;
- count 
--------
-     5
-(1 row)
-
-TRUNCATE t;
-NOTICE:  ivfflat index created with little data
-DETAIL:  This will cause low recall.
-HINT:  Drop the index until the table has more data.
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
- val 
------
-(0 rows)
-
-DROP TABLE t;
--- inner product
-CREATE TABLE t (val vector(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING ivfflat (val vector_ip_ops) WITH (lists = 1);
-INSERT INTO t (val) VALUES ('[1,2,4]');
-SELECT * FROM t ORDER BY val <#> '[3,3,3]';
-   val   
----------
- [1,2,4]
- [1,2,3]
- [1,1,1]
- [0,0,0]
-(4 rows)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <#> (SELECT NULL::vector)) t2;
- count 
--------
-     4
-(1 row)
-
-DROP TABLE t;
--- cosine
-CREATE TABLE t (val vector(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING ivfflat (val vector_cosine_ops) WITH (lists = 1);
-INSERT INTO t (val) VALUES ('[1,2,4]');
-SELECT * FROM t ORDER BY val <=> '[3,3,3]';
-   val   
----------
- [1,1,1]
- [1,2,3]
- [1,2,4]
-(3 rows)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '[0,0,0]') t2;
- count 
--------
-     3
-(1 row)
-
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::vector)) t2;
- count 
--------
-     3
-(1 row)
-
-DROP TABLE t;
--- iterative
-CREATE TABLE t (val vector(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 3);
-SET ivfflat.iterative_scan = relaxed_order;
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-   val   
----------
- [1,2,3]
- [1,1,1]
- [0,0,0]
-(3 rows)
-
-SET ivfflat.max_probes = 1;
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-   val   
----------
- [1,2,3]
-(1 row)
-
-SET ivfflat.max_probes = 2;
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-   val   
----------
- [1,2,3]
- [1,1,1]
-(2 rows)
-
-TRUNCATE t;
-NOTICE:  ivfflat index created with little data
-DETAIL:  This will cause low recall.
-HINT:  Drop the index until the table has more data.
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
- val 
------
-(0 rows)
-
-RESET ivfflat.iterative_scan;
-RESET ivfflat.max_probes;
-DROP TABLE t;
--- unlogged
-CREATE UNLOGGED TABLE t (val vector(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 1);
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-   val   
----------
- [1,2,3]
- [1,1,1]
- [0,0,0]
-(3 rows)
-
-DROP TABLE t;
--- options
-CREATE TABLE t (val vector(3));
-CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 0);
-ERROR:  value 0 out of bounds for option "lists"
-DETAIL:  Valid values are between "1" and "32768".
-CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 32769);
-ERROR:  value 32769 out of bounds for option "lists"
-DETAIL:  Valid values are between "1" and "32768".
-DROP TABLE t;
-SHOW ivfflat.probes;
- ivfflat.probes 
-----------------
- 1
-(1 row)
-
-SET ivfflat.probes = 0;
-ERROR:  0 is outside the valid range for parameter "ivfflat.probes" (1 .. 32768)
-SET ivfflat.probes = 32769;
-ERROR:  32769 is outside the valid range for parameter "ivfflat.probes" (1 .. 32768)
-SHOW ivfflat.iterative_scan;
- ivfflat.iterative_scan 
-------------------------
- off
-(1 row)
-
-SET ivfflat.iterative_scan = on;
-ERROR:  invalid value for parameter "ivfflat.iterative_scan": "on"
-HINT:  Available values: off, relaxed_order.
-SHOW ivfflat.max_probes;
- ivfflat.max_probes 
---------------------
- 32768
-(1 row)
-
-SET ivfflat.max_probes = 0;
-ERROR:  0 is outside the valid range for parameter "ivfflat.max_probes" (1 .. 32768)
-SET ivfflat.max_probes = 32769;
-ERROR:  32769 is outside the valid range for parameter "ivfflat.max_probes" (1 .. 32768)
--- dimensions
-CREATE TABLE t (val vector(2000));
-CREATE INDEX ON t USING ivfflat (val vector_l2_ops);
-NOTICE:  ivfflat index created with little data
-DETAIL:  This will cause low recall.
-HINT:  Drop the index until the table has more data.
-DROP TABLE t;
-CREATE TABLE t (val vector(2001));
-CREATE INDEX ON t USING ivfflat (val vector_l2_ops);
-ERROR:  column cannot have more than 2000 dimensions for ivfflat index
-DROP TABLE t;
--- memory
-SET maintenance_work_mem = '1MB';
-CREATE TABLE t (val vector(2000));
-CREATE INDEX ON t USING ivfflat (val vector_l2_ops);
-NOTICE:  ivfflat index created with little data
-DETAIL:  This will cause low recall.
-HINT:  Drop the index until the table has more data.
-DROP TABLE t;
-RESET maintenance_work_mem;
-SET maintenance_work_mem = '5MB';
-CREATE TABLE t (val vector(2000));
-INSERT INTO t (val) VALUES (array_fill(0, ARRAY[2000]));
-CREATE INDEX ON t USING ivfflat (val vector_l2_ops);
-NOTICE:  ivfflat index created with little data
-DETAIL:  This will cause low recall.
-HINT:  Drop the index until the table has more data.
-DROP TABLE t;
-RESET maintenance_work_mem;

test/expected/sparsevec.out

@@ -1,653 +0,0 @@
-SELECT '{1:1.5,3:3.5}/5'::sparsevec;
-    sparsevec    
------------------
- {1:1.5,3:3.5}/5
-(1 row)
-
-SELECT '{1:-2,3:-4}/5'::sparsevec;
-   sparsevec   
----------------
- {1:-2,3:-4}/5
-(1 row)
-
-SELECT '{1:2.,3:4.}/5'::sparsevec;
-  sparsevec  
--------------
- {1:2,3:4}/5
-(1 row)
-
-SELECT ' { 1 : 1.5 ,  3  :  3.5  } / 5 '::sparsevec;
-    sparsevec    
------------------
- {1:1.5,3:3.5}/5
-(1 row)
-
-SELECT '{1:1.23456}/1'::sparsevec;
-   sparsevec   
----------------
- {1:1.23456}/1
-(1 row)
-
-SELECT '{1:hello,2:1}/2'::sparsevec;
-ERROR:  invalid input syntax for type sparsevec: "{1:hello,2:1}/2"
-LINE 1: SELECT '{1:hello,2:1}/2'::sparsevec;
-               ^
-SELECT '{1:NaN,2:1}/2'::sparsevec;
-ERROR:  NaN not allowed in sparsevec
-LINE 1: SELECT '{1:NaN,2:1}/2'::sparsevec;
-               ^
-SELECT '{1:Infinity,2:1}/2'::sparsevec;
-ERROR:  infinite value not allowed in sparsevec
-LINE 1: SELECT '{1:Infinity,2:1}/2'::sparsevec;
-               ^
-SELECT '{1:-Infinity,2:1}/2'::sparsevec;
-ERROR:  infinite value not allowed in sparsevec
-LINE 1: SELECT '{1:-Infinity,2:1}/2'::sparsevec;
-               ^
-SELECT '{1:1.5e38,2:-1.5e38}/2'::sparsevec;
-        sparsevec         
---------------------------
- {1:1.5e+38,2:-1.5e+38}/2
-(1 row)
-
-SELECT '{1:1.5e+38,2:-1.5e+38}/2'::sparsevec;
-        sparsevec         
---------------------------
- {1:1.5e+38,2:-1.5e+38}/2
-(1 row)
-
-SELECT '{1:1.5e-38,2:-1.5e-38}/2'::sparsevec;
-        sparsevec         
---------------------------
- {1:1.5e-38,2:-1.5e-38}/2
-(1 row)
-
-SELECT '{1:4e38,2:1}/2'::sparsevec;
-ERROR:  "4e38" is out of range for type sparsevec
-LINE 1: SELECT '{1:4e38,2:1}/2'::sparsevec;
-               ^
-SELECT '{1:-4e38,2:1}/2'::sparsevec;
-ERROR:  "-4e38" is out of range for type sparsevec
-LINE 1: SELECT '{1:-4e38,2:1}/2'::sparsevec;
-               ^
-SELECT '{1:1e-46,2:1}/2'::sparsevec;
-ERROR:  "1e-46" is out of range for type sparsevec
-LINE 1: SELECT '{1:1e-46,2:1}/2'::sparsevec;
-               ^
-SELECT '{1:-1e-46,2:1}/2'::sparsevec;
-ERROR:  "-1e-46" is out of range for type sparsevec
-LINE 1: SELECT '{1:-1e-46,2:1}/2'::sparsevec;
-               ^
-SELECT ''::sparsevec;
-ERROR:  invalid input syntax for type sparsevec: ""
-LINE 1: SELECT ''::sparsevec;
-               ^
-DETAIL:  Vector contents must start with "{".
-SELECT '{'::sparsevec;
-ERROR:  invalid input syntax for type sparsevec: "{"
-LINE 1: SELECT '{'::sparsevec;
-               ^
-SELECT '{ '::sparsevec;
-ERROR:  invalid input syntax for type sparsevec: "{ "
-LINE 1: SELECT '{ '::sparsevec;
-               ^
-SELECT '{:'::sparsevec;
-ERROR:  invalid input syntax for type sparsevec: "{:"
-LINE 1: SELECT '{:'::sparsevec;
-               ^
-SELECT '{,'::sparsevec;
-ERROR:  invalid input syntax for type sparsevec: "{,"
-LINE 1: SELECT '{,'::sparsevec;
-               ^
-SELECT '{}'::sparsevec;
-ERROR:  invalid input syntax for type sparsevec: "{}"
-LINE 1: SELECT '{}'::sparsevec;
-               ^
-DETAIL:  Unexpected end of input.
-SELECT '{}/'::sparsevec;
-ERROR:  invalid input syntax for type sparsevec: "{}/"
-LINE 1: SELECT '{}/'::sparsevec;
-               ^
-SELECT '{}/1'::sparsevec;
- sparsevec 
------------
- {}/1
-(1 row)
-
-SELECT '{}/1a'::sparsevec;
-ERROR:  invalid input syntax for type sparsevec: "{}/1a"
-LINE 1: SELECT '{}/1a'::sparsevec;
-               ^
-DETAIL:  Junk after closing.
-SELECT '{ }/1'::sparsevec;
- sparsevec 
------------
- {}/1
-(1 row)
-
-SELECT '{:}/1'::sparsevec;
-ERROR:  invalid input syntax for type sparsevec: "{:}/1"
-LINE 1: SELECT '{:}/1'::sparsevec;
-               ^
-SELECT '{,}/1'::sparsevec;
-ERROR:  invalid input syntax for type sparsevec: "{,}/1"
-LINE 1: SELECT '{,}/1'::sparsevec;
-               ^
-SELECT '{1,}/1'::sparsevec;
-ERROR:  invalid input syntax for type sparsevec: "{1,}/1"
-LINE 1: SELECT '{1,}/1'::sparsevec;
-               ^
-SELECT '{:1}/1'::sparsevec;
-ERROR:  invalid input syntax for type sparsevec: "{:1}/1"
-LINE 1: SELECT '{:1}/1'::sparsevec;
-               ^
-SELECT '{1:}/1'::sparsevec;
-ERROR:  invalid input syntax for type sparsevec: "{1:}/1"
-LINE 1: SELECT '{1:}/1'::sparsevec;
-               ^
-SELECT '{1a:1}/1'::sparsevec;
-ERROR:  invalid input syntax for type sparsevec: "{1a:1}/1"
-LINE 1: SELECT '{1a:1}/1'::sparsevec;
-               ^
-SELECT '{1:1a}/1'::sparsevec;
-ERROR:  invalid input syntax for type sparsevec: "{1:1a}/1"
-LINE 1: SELECT '{1:1a}/1'::sparsevec;
-               ^
-SELECT '{1:1,}/1'::sparsevec;
-ERROR:  invalid input syntax for type sparsevec: "{1:1,}/1"
-LINE 1: SELECT '{1:1,}/1'::sparsevec;
-               ^
-SELECT '{1:0,2:1,3:0}/3'::sparsevec;
- sparsevec 
------------
- {2:1}/3
-(1 row)
-
-SELECT '{2:1,1:1}/2'::sparsevec;
-  sparsevec  
--------------
- {1:1,2:1}/2
-(1 row)
-
-SELECT '{1:1,1:1}/2'::sparsevec;
-ERROR:  sparsevec indices must not contain duplicates
-LINE 1: SELECT '{1:1,1:1}/2'::sparsevec;
-               ^
-SELECT '{1:1,2:1,1:1}/2'::sparsevec;
-ERROR:  sparsevec indices must not contain duplicates
-LINE 1: SELECT '{1:1,2:1,1:1}/2'::sparsevec;
-               ^
-SELECT '{}/5'::sparsevec;
- sparsevec 
------------
- {}/5
-(1 row)
-
-SELECT '{}/-1'::sparsevec;
-ERROR:  sparsevec must have at least 1 dimension
-LINE 1: SELECT '{}/-1'::sparsevec;
-               ^
-SELECT '{}/1000000001'::sparsevec;
-ERROR:  sparsevec cannot have more than 1000000000 dimensions
-LINE 1: SELECT '{}/1000000001'::sparsevec;
-               ^
-SELECT '{}/2147483648'::sparsevec;
-ERROR:  sparsevec cannot have more than 1000000000 dimensions
-LINE 1: SELECT '{}/2147483648'::sparsevec;
-               ^
-SELECT '{}/-2147483649'::sparsevec;
-ERROR:  sparsevec must have at least 1 dimension
-LINE 1: SELECT '{}/-2147483649'::sparsevec;
-               ^
-SELECT '{}/9223372036854775808'::sparsevec;
-ERROR:  sparsevec cannot have more than 1000000000 dimensions
-LINE 1: SELECT '{}/9223372036854775808'::sparsevec;
-               ^
-SELECT '{}/-9223372036854775809'::sparsevec;
-ERROR:  sparsevec must have at least 1 dimension
-LINE 1: SELECT '{}/-9223372036854775809'::sparsevec;
-               ^
-SELECT '{2147483647:1}/1'::sparsevec;
-ERROR:  sparsevec index out of bounds
-LINE 1: SELECT '{2147483647:1}/1'::sparsevec;
-               ^
-SELECT '{2147483648:1}/1'::sparsevec;
-ERROR:  sparsevec index out of bounds
-LINE 1: SELECT '{2147483648:1}/1'::sparsevec;
-               ^
-SELECT '{-2147483648:1}/1'::sparsevec;
-ERROR:  sparsevec index out of bounds
-LINE 1: SELECT '{-2147483648:1}/1'::sparsevec;
-               ^
-SELECT '{-2147483649:1}/1'::sparsevec;
-ERROR:  sparsevec index out of bounds
-LINE 1: SELECT '{-2147483649:1}/1'::sparsevec;
-               ^
-SELECT '{0:1}/1'::sparsevec;
-ERROR:  sparsevec index out of bounds
-LINE 1: SELECT '{0:1}/1'::sparsevec;
-               ^
-SELECT '{2:1}/1'::sparsevec;
-ERROR:  sparsevec index out of bounds
-LINE 1: SELECT '{2:1}/1'::sparsevec;
-               ^
-SELECT '{}/3'::sparsevec(3);
- sparsevec 
------------
- {}/3
-(1 row)
-
-SELECT '{}/3'::sparsevec(2);
-ERROR:  expected 2 dimensions, not 3
-SELECT '{}/3'::sparsevec(3, 2);
-ERROR:  invalid type modifier
-LINE 1: SELECT '{}/3'::sparsevec(3, 2);
-                       ^
-SELECT '{}/3'::sparsevec('a');
-ERROR:  invalid input syntax for type integer: "a"
-LINE 1: SELECT '{}/3'::sparsevec('a');
-                       ^
-SELECT '{}/3'::sparsevec(0);
-ERROR:  dimensions for type sparsevec must be at least 1
-LINE 1: SELECT '{}/3'::sparsevec(0);
-                       ^
-SELECT '{}/3'::sparsevec(1000000001);
-ERROR:  dimensions for type sparsevec cannot exceed 1000000000
-LINE 1: SELECT '{}/3'::sparsevec(1000000001);
-                       ^
-SELECT '{1:1,2:2,3:3}/3'::sparsevec < '{1:1,2:2,3:3}/3';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '{1:1,2:2,3:3}/3'::sparsevec < '{1:1,2:2}/2';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '{1:1,2:2,3:3}/3'::sparsevec <= '{1:1,2:2,3:3}/3';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT '{1:1,2:2,3:3}/3'::sparsevec <= '{1:1,2:2}/2';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '{1:1,2:2,3:3}/3'::sparsevec = '{1:1,2:2,3:3}/3';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT '{1:1,2:2,3:3}/3'::sparsevec = '{1:1,2:2}/2';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '{1:1,2:2,3:3}/3'::sparsevec != '{1:1,2:2,3:3}/3';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '{1:1,2:2,3:3}/3'::sparsevec != '{1:1,2:2}/2';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT '{1:1,2:2,3:3}/3'::sparsevec >= '{1:1,2:2,3:3}/3';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT '{1:1,2:2,3:3}/3'::sparsevec >= '{1:1,2:2}/2';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT '{1:1,2:2,3:3}/3'::sparsevec > '{1:1,2:2,3:3}/3';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '{1:1,2:2,3:3}/3'::sparsevec > '{1:1,2:2}/2';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT sparsevec_cmp('{1:1,2:2,3:3}/3', '{1:1,2:2,3:3}/3');
- sparsevec_cmp 
----------------
-             0
-(1 row)
-
-SELECT sparsevec_cmp('{1:1,2:2,3:3}/3', '{}/3');
- sparsevec_cmp 
----------------
-             1
-(1 row)
-
-SELECT sparsevec_cmp('{}/3', '{1:1,2:2,3:3}/3');
- sparsevec_cmp 
----------------
-            -1
-(1 row)
-
-SELECT sparsevec_cmp('{1:1,2:2}/2', '{1:1,2:2,3:3}/3');
- sparsevec_cmp 
----------------
-            -1
-(1 row)
-
-SELECT sparsevec_cmp('{1:1,2:2,3:3}/3', '{1:1,2:2}/2');
- sparsevec_cmp 
----------------
-             1
-(1 row)
-
-SELECT sparsevec_cmp('{1:1,2:2}/2', '{1:2,2:3,3:4}/3');
- sparsevec_cmp 
----------------
-            -1
-(1 row)
-
-SELECT sparsevec_cmp('{1:2,2:3}/2', '{1:1,2:2,3:3}/3');
- sparsevec_cmp 
----------------
-             1
-(1 row)
-
-SELECT round(l2_norm('{1:1,2:1}/2'::sparsevec)::numeric, 5);
-  round  
----------
- 1.41421
-(1 row)
-
-SELECT l2_norm('{1:3,2:4}/2'::sparsevec);
- l2_norm 
----------
-       5
-(1 row)
-
-SELECT l2_norm('{2:1}/2'::sparsevec);
- l2_norm 
----------
-       1
-(1 row)
-
-SELECT l2_norm('{1:3e37,2:4e37}/2'::sparsevec)::real;
- l2_norm 
----------
-   5e+37
-(1 row)
-
-SELECT l2_norm('{}/2'::sparsevec);
- l2_norm 
----------
-       0
-(1 row)
-
-SELECT l2_norm('{1:2}/1'::sparsevec);
- l2_norm 
----------
-       2
-(1 row)
-
-SELECT l2_distance('{}/2'::sparsevec, '{1:3,2:4}/2');
- l2_distance 
--------------
-           5
-(1 row)
-
-SELECT l2_distance('{1:3}/2'::sparsevec, '{2:4}/2');
- l2_distance 
--------------
-           5
-(1 row)
-
-SELECT l2_distance('{2:4}/2'::sparsevec, '{1:3}/2');
- l2_distance 
--------------
-           5
-(1 row)
-
-SELECT l2_distance('{1:3,2:4}/2'::sparsevec, '{}/2');
- l2_distance 
--------------
-           5
-(1 row)
-
-SELECT l2_distance('{}/2'::sparsevec, '{2:1}/2');
- l2_distance 
--------------
-           1
-(1 row)
-
-SELECT '{}/2'::sparsevec <-> '{1:3,2:4}/2';
- ?column? 
-----------
-        5
-(1 row)
-
-SELECT inner_product('{1:1,2:2}/2'::sparsevec, '{1:2,2:4}/2');
- inner_product 
----------------
-            10
-(1 row)
-
-SELECT inner_product('{1:1,2:2}/2'::sparsevec, '{1:3}/1');
-ERROR:  different sparsevec dimensions 2 and 1
-SELECT inner_product('{1:1,3:3}/4'::sparsevec, '{2:2,4:4}/4');
- inner_product 
----------------
-             0
-(1 row)
-
-SELECT inner_product('{2:2,4:4}/4'::sparsevec, '{1:1,3:3}/4');
- inner_product 
----------------
-             0
-(1 row)
-
-SELECT inner_product('{1:1,3:3,5:5}/5'::sparsevec, '{2:4,3:6,4:8}/5');
- inner_product 
----------------
-            18
-(1 row)
-
-SELECT inner_product('{1:1}/2'::sparsevec, '{}/2');
- inner_product 
----------------
-             0
-(1 row)
-
-SELECT inner_product('{}/2'::sparsevec, '{1:1}/2');
- inner_product 
----------------
-             0
-(1 row)
-
-SELECT inner_product('{1:3e38}/1'::sparsevec, '{1:3e38}/1');
- inner_product 
----------------
-      Infinity
-(1 row)
-
-SELECT inner_product('{1:1,3:3,5:5}/5'::sparsevec, '{2:4,3:6,4:8}/5');
- inner_product 
----------------
-            18
-(1 row)
-
-SELECT '{1:1,2:2}/2'::sparsevec <#> '{1:3,2:4}/2';
- ?column? 
-----------
-      -11
-(1 row)
-
-SELECT cosine_distance('{1:1,2:2}/2'::sparsevec, '{1:2,2:4}/2');
- cosine_distance 
------------------
-               0
-(1 row)
-
-SELECT cosine_distance('{1:1,2:2}/2'::sparsevec, '{}/2');
- cosine_distance 
------------------
-             NaN
-(1 row)
-
-SELECT cosine_distance('{1:1,2:1}/2'::sparsevec, '{1:1,2:1}/2');
- cosine_distance 
------------------
-               0
-(1 row)
-
-SELECT cosine_distance('{1:1}/2'::sparsevec, '{2:2}/2');
- cosine_distance 
------------------
-               1
-(1 row)
-
-SELECT cosine_distance('{1:1,2:1}/2'::sparsevec, '{1:-1,2:-1}/2');
- cosine_distance 
------------------
-               2
-(1 row)
-
-SELECT cosine_distance('{1:2}/2'::sparsevec, '{2:2}/2');
- cosine_distance 
------------------
-               1
-(1 row)
-
-SELECT cosine_distance('{2:2}/2'::sparsevec, '{1:2}/2');
- cosine_distance 
------------------
-               1
-(1 row)
-
-SELECT cosine_distance('{1:1,2:2}/2'::sparsevec, '{1:3}/1');
-ERROR:  different sparsevec dimensions 2 and 1
-SELECT cosine_distance('{1:1,2:1}/2'::sparsevec, '{1:1.1,2:1.1}/2');
- cosine_distance 
------------------
-               0
-(1 row)
-
-SELECT cosine_distance('{1:1,2:1}/2'::sparsevec, '{1:-1.1,2:-1.1}/2');
- cosine_distance 
------------------
-               2
-(1 row)
-
-SELECT cosine_distance('{1:3e38}/1'::sparsevec, '{1:3e38}/1');
- cosine_distance 
------------------
-             NaN
-(1 row)
-
-SELECT cosine_distance('{}/1'::sparsevec, '{}/1');
- cosine_distance 
------------------
-             NaN
-(1 row)
-
-SELECT '{1:1,2:2}/2'::sparsevec <=> '{1:2,2:4}/2';
- ?column? 
-----------
-        0
-(1 row)
-
-SELECT l1_distance('{}/2'::sparsevec, '{1:3,2:4}/2');
- l1_distance 
--------------
-           7
-(1 row)
-
-SELECT l1_distance('{}/2'::sparsevec, '{2:1}/2');
- l1_distance 
--------------
-           1
-(1 row)
-
-SELECT l1_distance('{1:1,2:2}/2'::sparsevec, '{1:3}/1');
-ERROR:  different sparsevec dimensions 2 and 1
-SELECT l1_distance('{1:3e38}/1'::sparsevec, '{1:-3e38}/1');
- l1_distance 
--------------
-    Infinity
-(1 row)
-
-SELECT l1_distance('{1:1,3:3,5:5,7:7}/8'::sparsevec, '{2:2,4:4,6:6,8:8}/8');
- l1_distance 
--------------
-          36
-(1 row)
-
-SELECT l1_distance('{1:1,3:3,5:5,7:7,9:9}/9'::sparsevec, '{2:2,4:4,6:6,8:8}/9');
- l1_distance 
--------------
-          45
-(1 row)
-
-SELECT '{}/2'::sparsevec <+> '{1:3,2:4}/2';
- ?column? 
-----------
-        7
-(1 row)
-
-SELECT l2_normalize('{1:3,2:4}/2'::sparsevec);
-  l2_normalize   
------------------
- {1:0.6,2:0.8}/2
-(1 row)
-
-SELECT l2_normalize('{1:3}/2'::sparsevec);
- l2_normalize 
---------------
- {1:1}/2
-(1 row)
-
-SELECT l2_normalize('{2:0.1}/2'::sparsevec);
- l2_normalize 
---------------
- {2:1}/2
-(1 row)
-
-SELECT l2_normalize('{}/2'::sparsevec);
- l2_normalize 
---------------
- {}/2
-(1 row)
-
-SELECT l2_normalize('{1:3e38}/1'::sparsevec);
- l2_normalize 
---------------
- {1:1}/1
-(1 row)
-
-SELECT l2_normalize('{1:3e38,2:1e-37}/2'::sparsevec);
- l2_normalize 
---------------
- {1:1}/2
-(1 row)
-
-SELECT l2_normalize('{2:3e37,4:3e-37,6:4e37,8:4e-37}/9'::sparsevec);
-  l2_normalize   
------------------
- {2:0.6,6:0.8}/9
-(1 row)
-

test/expected/vector_type.out

@@ -1,678 +0,0 @@
-SELECT '[1,2,3]'::vector;
- vector  
----------
- [1,2,3]
-(1 row)
-
-SELECT '[-1,-2,-3]'::vector;
-   vector   
-------------
- [-1,-2,-3]
-(1 row)
-
-SELECT '[1.,2.,3.]'::vector;
- vector  
----------
- [1,2,3]
-(1 row)
-
-SELECT ' [ 1,  2 ,    3  ] '::vector;
- vector  
----------
- [1,2,3]
-(1 row)
-
-SELECT '[1.23456]'::vector;
-  vector   
------------
- [1.23456]
-(1 row)
-
-SELECT '[hello,1]'::vector;
-ERROR:  invalid input syntax for type vector: "[hello,1]"
-LINE 1: SELECT '[hello,1]'::vector;
-               ^
-SELECT '[NaN,1]'::vector;
-ERROR:  NaN not allowed in vector
-LINE 1: SELECT '[NaN,1]'::vector;
-               ^
-SELECT '[Infinity,1]'::vector;
-ERROR:  infinite value not allowed in vector
-LINE 1: SELECT '[Infinity,1]'::vector;
-               ^
-SELECT '[-Infinity,1]'::vector;
-ERROR:  infinite value not allowed in vector
-LINE 1: SELECT '[-Infinity,1]'::vector;
-               ^
-SELECT '[1.5e38,-1.5e38]'::vector;
-       vector       
---------------------
- [1.5e+38,-1.5e+38]
-(1 row)
-
-SELECT '[1.5e+38,-1.5e+38]'::vector;
-       vector       
---------------------
- [1.5e+38,-1.5e+38]
-(1 row)
-
-SELECT '[1.5e-38,-1.5e-38]'::vector;
-       vector       
---------------------
- [1.5e-38,-1.5e-38]
-(1 row)
-
-SELECT '[4e38,1]'::vector;
-ERROR:  "4e38" is out of range for type vector
-LINE 1: SELECT '[4e38,1]'::vector;
-               ^
-SELECT '[-4e38,1]'::vector;
-ERROR:  "-4e38" is out of range for type vector
-LINE 1: SELECT '[-4e38,1]'::vector;
-               ^
-SELECT '[1e-46,1]'::vector;
- vector 
---------
- [0,1]
-(1 row)
-
-SELECT '[-1e-46,1]'::vector;
- vector 
---------
- [-0,1]
-(1 row)
-
-SELECT '[1,2,3'::vector;
-ERROR:  invalid input syntax for type vector: "[1,2,3"
-LINE 1: SELECT '[1,2,3'::vector;
-               ^
-SELECT '[1,2,3]9'::vector;
-ERROR:  invalid input syntax for type vector: "[1,2,3]9"
-LINE 1: SELECT '[1,2,3]9'::vector;
-               ^
-DETAIL:  Junk after closing right brace.
-SELECT '1,2,3'::vector;
-ERROR:  invalid input syntax for type vector: "1,2,3"
-LINE 1: SELECT '1,2,3'::vector;
-               ^
-DETAIL:  Vector contents must start with "[".
-SELECT ''::vector;
-ERROR:  invalid input syntax for type vector: ""
-LINE 1: SELECT ''::vector;
-               ^
-DETAIL:  Vector contents must start with "[".
-SELECT '['::vector;
-ERROR:  invalid input syntax for type vector: "["
-LINE 1: SELECT '['::vector;
-               ^
-SELECT '[ '::vector;
-ERROR:  invalid input syntax for type vector: "[ "
-LINE 1: SELECT '[ '::vector;
-               ^
-SELECT '[,'::vector;
-ERROR:  invalid input syntax for type vector: "[,"
-LINE 1: SELECT '[,'::vector;
-               ^
-SELECT '[]'::vector;
-ERROR:  vector must have at least 1 dimension
-LINE 1: SELECT '[]'::vector;
-               ^
-SELECT '[ ]'::vector;
-ERROR:  vector must have at least 1 dimension
-LINE 1: SELECT '[ ]'::vector;
-               ^
-SELECT '[,]'::vector;
-ERROR:  invalid input syntax for type vector: "[,]"
-LINE 1: SELECT '[,]'::vector;
-               ^
-SELECT '[1,]'::vector;
-ERROR:  invalid input syntax for type vector: "[1,]"
-LINE 1: SELECT '[1,]'::vector;
-               ^
-SELECT '[1a]'::vector;
-ERROR:  invalid input syntax for type vector: "[1a]"
-LINE 1: SELECT '[1a]'::vector;
-               ^
-SELECT '[1,,3]'::vector;
-ERROR:  invalid input syntax for type vector: "[1,,3]"
-LINE 1: SELECT '[1,,3]'::vector;
-               ^
-SELECT '[1, ,3]'::vector;
-ERROR:  invalid input syntax for type vector: "[1, ,3]"
-LINE 1: SELECT '[1, ,3]'::vector;
-               ^
-SELECT '[1,2,3]'::vector(3);
- vector  
----------
- [1,2,3]
-(1 row)
-
-SELECT '[1,2,3]'::vector(2);
-ERROR:  expected 2 dimensions, not 3
-SELECT '[1,2,3]'::vector(3, 2);
-ERROR:  invalid type modifier
-LINE 1: SELECT '[1,2,3]'::vector(3, 2);
-                          ^
-SELECT '[1,2,3]'::vector('a');
-ERROR:  invalid input syntax for type integer: "a"
-LINE 1: SELECT '[1,2,3]'::vector('a');
-                          ^
-SELECT '[1,2,3]'::vector(0);
-ERROR:  dimensions for type vector must be at least 1
-LINE 1: SELECT '[1,2,3]'::vector(0);
-                          ^
-SELECT '[1,2,3]'::vector(16001);
-ERROR:  dimensions for type vector cannot exceed 16000
-LINE 1: SELECT '[1,2,3]'::vector(16001);
-                          ^
-SELECT unnest('{"[1,2,3]", "[4,5,6]"}'::vector[]);
- unnest  
----------
- [1,2,3]
- [4,5,6]
-(2 rows)
-
-SELECT '{"[1,2,3]"}'::vector(2)[];
-ERROR:  expected 2 dimensions, not 3
-SELECT '[1,2,3]'::vector + '[4,5,6]';
- ?column? 
-----------
- [5,7,9]
-(1 row)
-
-SELECT '[3e38]'::vector + '[3e38]';
-ERROR:  value out of range: overflow
-SELECT '[1,2]'::vector + '[3]';
-ERROR:  different vector dimensions 2 and 1
-SELECT '[1,2,3]'::vector - '[4,5,6]';
-  ?column?  
-------------
- [-3,-3,-3]
-(1 row)
-
-SELECT '[-3e38]'::vector - '[3e38]';
-ERROR:  value out of range: overflow
-SELECT '[1,2]'::vector - '[3]';
-ERROR:  different vector dimensions 2 and 1
-SELECT '[1,2,3]'::vector * '[4,5,6]';
- ?column?  
------------
- [4,10,18]
-(1 row)
-
-SELECT '[1e37]'::vector * '[1e37]';
-ERROR:  value out of range: overflow
-SELECT '[1e-37]'::vector * '[1e-37]';
-ERROR:  value out of range: underflow
-SELECT '[1,2]'::vector * '[3]';
-ERROR:  different vector dimensions 2 and 1
-SELECT '[1,2,3]'::vector || '[4,5]';
-  ?column?   
--------------
- [1,2,3,4,5]
-(1 row)
-
-SELECT array_fill(0, ARRAY[16000])::vector || '[1]';
-ERROR:  vector cannot have more than 16000 dimensions
-SELECT '[1,2,3]'::vector < '[1,2,3]';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '[1,2,3]'::vector < '[1,2]';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '[1,2,3]'::vector <= '[1,2,3]';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT '[1,2,3]'::vector <= '[1,2]';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '[1,2,3]'::vector = '[1,2,3]';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT '[1,2,3]'::vector = '[1,2]';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '[1,2,3]'::vector != '[1,2,3]';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '[1,2,3]'::vector != '[1,2]';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT '[1,2,3]'::vector >= '[1,2,3]';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT '[1,2,3]'::vector >= '[1,2]';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT '[1,2,3]'::vector > '[1,2,3]';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '[1,2,3]'::vector > '[1,2]';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT vector_cmp('[1,2,3]', '[1,2,3]');
- vector_cmp 
-------------
-          0
-(1 row)
-
-SELECT vector_cmp('[1,2,3]', '[0,0,0]');
- vector_cmp 
-------------
-          1
-(1 row)
-
-SELECT vector_cmp('[0,0,0]', '[1,2,3]');
- vector_cmp 
-------------
-         -1
-(1 row)
-
-SELECT vector_cmp('[1,2]', '[1,2,3]');
- vector_cmp 
-------------
-         -1
-(1 row)
-
-SELECT vector_cmp('[1,2,3]', '[1,2]');
- vector_cmp 
-------------
-          1
-(1 row)
-
-SELECT vector_cmp('[1,2]', '[2,3,4]');
- vector_cmp 
-------------
-         -1
-(1 row)
-
-SELECT vector_cmp('[2,3]', '[1,2,3]');
- vector_cmp 
-------------
-          1
-(1 row)
-
-SELECT vector_dims('[1,2,3]'::vector);
- vector_dims 
--------------
-           3
-(1 row)
-
-SELECT round(vector_norm('[1,1]')::numeric, 5);
-  round  
----------
- 1.41421
-(1 row)
-
-SELECT vector_norm('[3,4]');
- vector_norm 
--------------
-           5
-(1 row)
-
-SELECT vector_norm('[0,1]');
- vector_norm 
--------------
-           1
-(1 row)
-
-SELECT vector_norm('[3e37,4e37]')::real;
- vector_norm 
--------------
-       5e+37
-(1 row)
-
-SELECT vector_norm('[0,0]');
- vector_norm 
--------------
-           0
-(1 row)
-
-SELECT vector_norm('[2]');
- vector_norm 
--------------
-           2
-(1 row)
-
-SELECT l2_distance('[0,0]'::vector, '[3,4]');
- l2_distance 
--------------
-           5
-(1 row)
-
-SELECT l2_distance('[0,0]'::vector, '[0,1]');
- l2_distance 
--------------
-           1
-(1 row)
-
-SELECT l2_distance('[1,2]'::vector, '[3]');
-ERROR:  different vector dimensions 2 and 1
-SELECT l2_distance('[3e38]'::vector, '[-3e38]');
- l2_distance 
--------------
-    Infinity
-(1 row)
-
-SELECT l2_distance('[1,1,1,1,1,1,1,1,1]'::vector, '[1,1,1,1,1,1,1,4,5]');
- l2_distance 
--------------
-           5
-(1 row)
-
-SELECT '[0,0]'::vector <-> '[3,4]';
- ?column? 
-----------
-        5
-(1 row)
-
-SELECT inner_product('[1,2]'::vector, '[3,4]');
- inner_product 
----------------
-            11
-(1 row)
-
-SELECT inner_product('[1,2]'::vector, '[3]');
-ERROR:  different vector dimensions 2 and 1
-SELECT inner_product('[3e38]'::vector, '[3e38]');
- inner_product 
----------------
-      Infinity
-(1 row)
-
-SELECT inner_product('[1,1,1,1,1,1,1,1,1]'::vector, '[1,2,3,4,5,6,7,8,9]');
- inner_product 
----------------
-            45
-(1 row)
-
-SELECT '[1,2]'::vector <#> '[3,4]';
- ?column? 
-----------
-      -11
-(1 row)
-
-SELECT cosine_distance('[1,2]'::vector, '[2,4]');
- cosine_distance 
------------------
-               0
-(1 row)
-
-SELECT cosine_distance('[1,2]'::vector, '[0,0]');
- cosine_distance 
------------------
-             NaN
-(1 row)
-
-SELECT cosine_distance('[1,1]'::vector, '[1,1]');
- cosine_distance 
------------------
-               0
-(1 row)
-
-SELECT cosine_distance('[1,0]'::vector, '[0,2]');
- cosine_distance 
------------------
-               1
-(1 row)
-
-SELECT cosine_distance('[1,1]'::vector, '[-1,-1]');
- cosine_distance 
------------------
-               2
-(1 row)
-
-SELECT cosine_distance('[1,2]'::vector, '[3]');
-ERROR:  different vector dimensions 2 and 1
-SELECT cosine_distance('[1,1]'::vector, '[1.1,1.1]');
- cosine_distance 
------------------
-               0
-(1 row)
-
-SELECT cosine_distance('[1,1]'::vector, '[-1.1,-1.1]');
- cosine_distance 
------------------
-               2
-(1 row)
-
-SELECT cosine_distance('[3e38]'::vector, '[3e38]');
- cosine_distance 
------------------
-             NaN
-(1 row)
-
-SELECT cosine_distance('[1,2,3,4,5,6,7,8,9]'::vector, '[1,2,3,4,5,6,7,8,9]');
- cosine_distance 
------------------
-               0
-(1 row)
-
-SELECT cosine_distance('[1,2,3,4,5,6,7,8,9]'::vector, '[-1,-2,-3,-4,-5,-6,-7,-8,-9]');
- cosine_distance 
------------------
-               2
-(1 row)
-
-SELECT '[1,2]'::vector <=> '[2,4]';
- ?column? 
-----------
-        0
-(1 row)
-
-SELECT l1_distance('[0,0]'::vector, '[3,4]');
- l1_distance 
--------------
-           7
-(1 row)
-
-SELECT l1_distance('[0,0]'::vector, '[0,1]');
- l1_distance 
--------------
-           1
-(1 row)
-
-SELECT l1_distance('[1,2]'::vector, '[3]');
-ERROR:  different vector dimensions 2 and 1
-SELECT l1_distance('[3e38]'::vector, '[-3e38]');
- l1_distance 
--------------
-    Infinity
-(1 row)
-
-SELECT l1_distance('[1,2,3,4,5,6,7,8,9]'::vector, '[1,2,3,4,5,6,7,8,9]');
- l1_distance 
--------------
-           0
-(1 row)
-
-SELECT l1_distance('[1,2,3,4,5,6,7,8,9]'::vector, '[0,3,2,5,4,7,6,9,8]');
- l1_distance 
--------------
-           9
-(1 row)
-
-SELECT '[0,0]'::vector <+> '[3,4]';
- ?column? 
-----------
-        7
-(1 row)
-
-SELECT l2_normalize('[3,4]'::vector);
- l2_normalize 
---------------
- [0.6,0.8]
-(1 row)
-
-SELECT l2_normalize('[3,0]'::vector);
- l2_normalize 
---------------
- [1,0]
-(1 row)
-
-SELECT l2_normalize('[0,0.1]'::vector);
- l2_normalize 
---------------
- [0,1]
-(1 row)
-
-SELECT l2_normalize('[0,0]'::vector);
- l2_normalize 
---------------
- [0,0]
-(1 row)
-
-SELECT l2_normalize('[3e38]'::vector);
- l2_normalize 
---------------
- [1]
-(1 row)
-
-SELECT binary_quantize('[1,0,-1]'::vector);
- binary_quantize 
------------------
- 100
-(1 row)
-
-SELECT binary_quantize('[0,0.1,-0.2,-0.3,0.4,0.5,0.6,-0.7,0.8,-0.9,1]'::vector);
- binary_quantize 
------------------
- 01001110101
-(1 row)
-
-SELECT binary_quantize('[1,2,3,-4,5,6,-7,8,1,-2,-3,4,5,-6,7,8,-1,2,3]'::vector);
-   binary_quantize   
----------------------
- 1110110110011011011
-(1 row)
-
-SELECT subvector('[1,2,3,4,5]'::vector, 1, 3);
- subvector 
------------
- [1,2,3]
-(1 row)
-
-SELECT subvector('[1,2,3,4,5]'::vector, 3, 2);
- subvector 
------------
- [3,4]
-(1 row)
-
-SELECT subvector('[1,2,3,4,5]'::vector, -1, 3);
- subvector 
------------
- [1]
-(1 row)
-
-SELECT subvector('[1,2,3,4,5]'::vector, 3, 9);
- subvector 
------------
- [3,4,5]
-(1 row)
-
-SELECT subvector('[1,2,3,4,5]'::vector, 1, 0);
-ERROR:  vector must have at least 1 dimension
-SELECT subvector('[1,2,3,4,5]'::vector, 3, -1);
-ERROR:  vector must have at least 1 dimension
-SELECT subvector('[1,2,3,4,5]'::vector, -1, 2);
-ERROR:  vector must have at least 1 dimension
-SELECT subvector('[1,2,3,4,5]'::vector, 2147483647, 10);
-ERROR:  vector must have at least 1 dimension
-SELECT subvector('[1,2,3,4,5]'::vector, 3, 2147483647);
- subvector 
------------
- [3,4,5]
-(1 row)
-
-SELECT subvector('[1,2,3,4,5]'::vector, -2147483644, 2147483647);
- subvector 
------------
- [1,2]
-(1 row)
-
-SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]']) v;
-    avg    
------------
- [2,3.5,5]
-(1 row)
-
-SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]', NULL]) v;
-    avg    
------------
- [2,3.5,5]
-(1 row)
-
-SELECT avg(v) FROM unnest(ARRAY[]::vector[]) v;
- avg 
------
- 
-(1 row)
-
-SELECT avg(v) FROM unnest(ARRAY['[1,2]'::vector, '[3]']) v;
-ERROR:  expected 2 dimensions, not 1
-SELECT avg(v) FROM unnest(ARRAY['[3e38]'::vector, '[3e38]']) v;
-   avg   
----------
- [3e+38]
-(1 row)
-
-SELECT vector_avg(array_agg(n)) FROM generate_series(1, 16002) n;
-ERROR:  vector cannot have more than 16000 dimensions
-SELECT sum(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]']) v;
-   sum    
-----------
- [4,7,10]
-(1 row)
-
-SELECT sum(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]', NULL]) v;
-   sum    
-----------
- [4,7,10]
-(1 row)
-
-SELECT sum(v) FROM unnest(ARRAY[]::vector[]) v;
- sum 
------
- 
-(1 row)
-
-SELECT sum(v) FROM unnest(ARRAY['[1,2]'::vector, '[3]']) v;
-ERROR:  different vector dimensions 2 and 1
-SELECT sum(v) FROM unnest(ARRAY['[3e38]'::vector, '[3e38]']) v;
-ERROR:  value out of range: overflow

test/perl/PostgreSQL/Test/Cluster.pm

@@ -1,11 +0,0 @@
-package PostgreSQL::Test::Cluster;
-
-use PostgresNode;
-
-sub new
-{
-	my ($class, $name) = @_;
-	return get_new_node($name);
-}
-
-1;

test/perl/PostgreSQL/Test/Utils.pm

@@ -1,5 +0,0 @@
-package PostgreSQL::Test::Utils;
-
-use TestLib;
-
-1;

test/perl/PostgresNode.pm

@@ -0,0 +1,8 @@
+use PostgreSQL::Test::Cluster;
+
+sub get_new_node
+{
+	return PostgreSQL::Test::Cluster->new(@_);
+}
+
+1;

test/perl/TestLib.pm

@@ -0,0 +1,3 @@
+use PostgreSQL::Test::Utils;
+
+1;

test/sql/bit.sql

@@ -1,27 +0,0 @@
-SELECT hamming_distance('111', '111');
-SELECT hamming_distance('111', '110');
-SELECT hamming_distance('111', '100');
-SELECT hamming_distance('111', '000');
-SELECT hamming_distance('10101010101010101010', '01010101010101010101');
-SELECT hamming_distance('101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101', '101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101');
-SELECT hamming_distance('101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101', '010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010');
-SELECT hamming_distance('110000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000011', '100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001');
-SELECT hamming_distance('', '');
-SELECT hamming_distance('111', '00');
-SELECT hamming_distance('111', '000'::varbit(4));
-SELECT hamming_distance('111', '0000'::varbit(4));
-
-SELECT jaccard_distance('1111', '1111');
-SELECT jaccard_distance('1111', '1110');
-SELECT jaccard_distance('1111', '1100');
-SELECT jaccard_distance('1111', '1000');
-SELECT jaccard_distance('1111', '0000');
-SELECT jaccard_distance('1100', '1000');
-SELECT jaccard_distance('10101010101010101010', '01010101010101010101');
-SELECT jaccard_distance('101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101', '101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101');
-SELECT jaccard_distance('101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101', '010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010');
-SELECT jaccard_distance('110000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000011', '100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001');
-SELECT jaccard_distance('', '');
-SELECT jaccard_distance('1111', '000');
-SELECT jaccard_distance('1111', '0000'::varbit(5));
-SELECT jaccard_distance('1111', '00000'::varbit(5));

test/sql/btree.sql

@@ -1,34 +1,10 @@
 SET enable_seqscan = off;
 
--- vector
-
 CREATE TABLE t (val vector(3));
 INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
 CREATE INDEX ON t (val);
 
 SELECT * FROM t WHERE val = '[1,2,3]';
-SELECT * FROM t ORDER BY val;
+SELECT * FROM t ORDER BY val LIMIT 1;
-
-DROP TABLE t;
-
--- halfvec
-
-CREATE TABLE t (val halfvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t (val);
-
-SELECT * FROM t WHERE val = '[1,2,3]';
-SELECT * FROM t ORDER BY val;
-
-DROP TABLE t;
-
--- sparsevec
-
-CREATE TABLE t (val sparsevec(3));
-INSERT INTO t (val) VALUES ('{}/3'), ('{1:1,2:2,3:3}/3'), ('{1:1,2:1,3:1}/3'), (NULL);
-CREATE INDEX ON t (val);
-
-SELECT * FROM t WHERE val = '{1:1,2:2,3:3}/3';
-SELECT * FROM t ORDER BY val;
 
 DROP TABLE t;

test/sql/cast.sql

@@ -3,77 +3,13 @@ SELECT ARRAY[1.0,2.0,3.0]::vector;
 SELECT ARRAY[1,2,3]::float4[]::vector;
 SELECT ARRAY[1,2,3]::float8[]::vector;
 SELECT ARRAY[1,2,3]::numeric[]::vector;
-
-SELECT '[1,2,3]'::vector::real[];
-
-SELECT '{1,2,3}'::real[]::vector;
-SELECT '{1,2,3}'::real[]::vector(3);
-SELECT '{1,2,3}'::real[]::vector(2);
 SELECT '{NULL}'::real[]::vector;
 SELECT '{NaN}'::real[]::vector;
 SELECT '{Infinity}'::real[]::vector;
 SELECT '{-Infinity}'::real[]::vector;
 SELECT '{}'::real[]::vector;
 SELECT '{{1}}'::real[]::vector;
-
+SELECT '[1,2,3]'::vector::real[];
-SELECT '{1,2,3}'::double precision[]::vector;
-SELECT '{1,2,3}'::double precision[]::vector(3);
-SELECT '{1,2,3}'::double precision[]::vector(2);
-SELECT '{4e38,-4e38}'::double precision[]::vector;
-SELECT '{1e-46,-1e-46}'::double precision[]::vector;
-
-SELECT '[1,2,3]'::vector::halfvec;
-SELECT '[1,2,3]'::vector::halfvec(3);
-SELECT '[1,2,3]'::vector::halfvec(2);
-SELECT '[65520]'::vector::halfvec;
-SELECT '[1e-8]'::vector::halfvec;
-
-SELECT '[1,2,3]'::halfvec::vector;
-SELECT '[1,2,3]'::halfvec::vector(3);
-SELECT '[1,2,3]'::halfvec::vector(2);
-
-SELECT '{1,2,3}'::real[]::halfvec;
-SELECT '{1,2,3}'::real[]::halfvec(3);
-SELECT '{1,2,3}'::real[]::halfvec(2);
-SELECT '{65520,-65520}'::real[]::halfvec;
-SELECT '{1e-8,-1e-8}'::real[]::halfvec;
-
-SELECT '[0,1.5,0,3.5,0]'::vector::sparsevec;
-SELECT '[0,1.5,0,3.5,0]'::vector::sparsevec(5);
-SELECT '[0,1.5,0,3.5,0]'::vector::sparsevec(4);
-
-SELECT '{2:1.5,4:3.5}/5'::sparsevec::vector;
-SELECT '{2:1.5,4:3.5}/5'::sparsevec::vector(5);
-SELECT '{2:1.5,4:3.5}/5'::sparsevec::vector(4);
-SELECT '{}/16001'::sparsevec::vector;
-
-SELECT '[0,1.5,0,3.5,0]'::halfvec::sparsevec;
-SELECT '[0,1.5,0,3.5,0]'::halfvec::sparsevec(5);
-SELECT '[0,1.5,0,3.5,0]'::halfvec::sparsevec(4);
-
-SELECT '{2:1.5,4:3.5}/5'::sparsevec::halfvec;
-SELECT '{2:1.5,4:3.5}/5'::sparsevec::halfvec(5);
-SELECT '{2:1.5,4:3.5}/5'::sparsevec::halfvec(4);
-SELECT '{}/16001'::sparsevec::halfvec;
-SELECT '{1:65520}/1'::sparsevec::halfvec;
-SELECT '{1:1e-8}/1'::sparsevec::halfvec;
-
-SELECT ARRAY[1,0,2,0,3,0]::sparsevec;
-SELECT ARRAY[1.0,0.0,2.0,0.0,3.0,0.0]::sparsevec;
-SELECT ARRAY[1,0,2,0,3,0]::float4[]::sparsevec;
-SELECT ARRAY[1,0,2,0,3,0]::float8[]::sparsevec;
-SELECT ARRAY[1,0,2,0,3,0]::numeric[]::sparsevec;
-
-SELECT '{1,0,2,0,3,0}'::real[]::sparsevec;
-SELECT '{1,0,2,0,3,0}'::real[]::sparsevec(6);
-SELECT '{1,0,2,0,3,0}'::real[]::sparsevec(5);
-SELECT '{NULL}'::real[]::sparsevec;
-SELECT '{NaN}'::real[]::sparsevec;
-SELECT '{Infinity}'::real[]::sparsevec;
-SELECT '{-Infinity}'::real[]::sparsevec;
-SELECT '{}'::real[]::sparsevec;
-SELECT '{{1}}'::real[]::sparsevec;
-
 SELECT array_agg(n)::vector FROM generate_series(1, 16001) n;
 SELECT array_to_vector(array_agg(n), 16001, false) FROM generate_series(1, 16001) n;
 

test/sql/copy.sql

@@ -1,42 +1,10 @@
--- vector
-
 CREATE TABLE t (val vector(3));
 INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
 
 CREATE TABLE t2 (val vector(3));
 
-\copy t TO 'results/vector.bin' WITH (FORMAT binary)
+\copy t TO 'results/data.bin' WITH (FORMAT binary)
-\copy t2 FROM 'results/vector.bin' WITH (FORMAT binary)
+\copy t2 FROM 'results/data.bin' WITH (FORMAT binary)
-
-SELECT * FROM t2 ORDER BY val;
-
-DROP TABLE t;
-DROP TABLE t2;
-
--- halfvec
-
-CREATE TABLE t (val halfvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-
-CREATE TABLE t2 (val halfvec(3));
-
-\copy t TO 'results/halfvec.bin' WITH (FORMAT binary)
-\copy t2 FROM 'results/halfvec.bin' WITH (FORMAT binary)
-
-SELECT * FROM t2 ORDER BY val;
-
-DROP TABLE t;
-DROP TABLE t2;
-
--- sparsevec
-
-CREATE TABLE t (val sparsevec(3));
-INSERT INTO t (val) VALUES ('{}/3'), ('{1:1,2:2,3:3}/3'), ('{1:1,2:1,3:1}/3'), (NULL);
-
-CREATE TABLE t2 (val sparsevec(3));
-
-\copy t TO 'results/sparsevec.bin' WITH (FORMAT binary)
-\copy t2 FROM 'results/sparsevec.bin' WITH (FORMAT binary)
 
 SELECT * FROM t2 ORDER BY val;
 

test/sql/functions.sql

@@ -0,0 +1,51 @@
+SELECT '[1,2,3]'::vector + '[4,5,6]';
+SELECT '[3e38]'::vector + '[3e38]';
+SELECT '[1,2,3]'::vector - '[4,5,6]';
+SELECT '[-3e38]'::vector - '[3e38]';
+SELECT '[1,2,3]'::vector * '[4,5,6]';
+SELECT '[1e37]'::vector * '[1e37]';
+SELECT '[1e-37]'::vector * '[1e-37]';
+
+SELECT vector_dims('[1,2,3]');
+
+SELECT round(vector_norm('[1,1]')::numeric, 5);
+SELECT vector_norm('[3,4]');
+SELECT vector_norm('[0,1]');
+SELECT vector_norm('[3e37,4e37]')::real;
+
+SELECT l2_distance('[0,0]', '[3,4]');
+SELECT l2_distance('[0,0]', '[0,1]');
+SELECT l2_distance('[1,2]', '[3]');
+SELECT l2_distance('[3e38]', '[-3e38]');
+
+SELECT inner_product('[1,2]', '[3,4]');
+SELECT inner_product('[1,2]', '[3]');
+SELECT inner_product('[3e38]', '[3e38]');
+
+SELECT cosine_distance('[1,2]', '[2,4]');
+SELECT cosine_distance('[1,2]', '[0,0]');
+SELECT cosine_distance('[1,1]', '[1,1]');
+SELECT cosine_distance('[1,0]', '[0,2]');
+SELECT cosine_distance('[1,1]', '[-1,-1]');
+SELECT cosine_distance('[1,2]', '[3]');
+SELECT cosine_distance('[1,1]', '[1.1,1.1]');
+SELECT cosine_distance('[1,1]', '[-1.1,-1.1]');
+SELECT cosine_distance('[3e38]', '[3e38]');
+
+SELECT l1_distance('[0,0]', '[3,4]');
+SELECT l1_distance('[0,0]', '[0,1]');
+SELECT l1_distance('[1,2]', '[3]');
+SELECT l1_distance('[3e38]', '[-3e38]');
+
+SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]']) v;
+SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]', NULL]) v;
+SELECT avg(v) FROM unnest(ARRAY[]::vector[]) v;
+SELECT avg(v) FROM unnest(ARRAY['[1,2]'::vector, '[3]']) v;
+SELECT avg(v) FROM unnest(ARRAY['[3e38]'::vector, '[3e38]']) v;
+SELECT vector_avg(array_agg(n)) FROM generate_series(1, 16002) n;
+
+SELECT sum(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]']) v;
+SELECT sum(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]', NULL]) v;
+SELECT sum(v) FROM unnest(ARRAY[]::vector[]) v;
+SELECT sum(v) FROM unnest(ARRAY['[1,2]'::vector, '[3]']) v;
+SELECT sum(v) FROM unnest(ARRAY['[3e38]'::vector, '[3e38]']) v;

test/sql/halfvec.sql

@@ -1,148 +0,0 @@
-SELECT '[1,2,3]'::halfvec;
-SELECT '[-1,-2,-3]'::halfvec;
-SELECT '[1.,2.,3.]'::halfvec;
-SELECT ' [ 1,  2 ,    3  ] '::halfvec;
-SELECT '[1.23456]'::halfvec;
-SELECT '[hello,1]'::halfvec;
-SELECT '[NaN,1]'::halfvec;
-SELECT '[Infinity,1]'::halfvec;
-SELECT '[-Infinity,1]'::halfvec;
-SELECT '[65519,-65519]'::halfvec;
-SELECT '[65520,-65520]'::halfvec;
-SELECT '[1e-8,-1e-8]'::halfvec;
-SELECT '[4e38,1]'::halfvec;
-SELECT '[1e-46,1]'::halfvec;
-SELECT '[1,2,3'::halfvec;
-SELECT '[1,2,3]9'::halfvec;
-SELECT '1,2,3'::halfvec;
-SELECT ''::halfvec;
-SELECT '['::halfvec;
-SELECT '[ '::halfvec;
-SELECT '[,'::halfvec;
-SELECT '[]'::halfvec;
-SELECT '[ ]'::halfvec;
-SELECT '[,]'::halfvec;
-SELECT '[1,]'::halfvec;
-SELECT '[1a]'::halfvec;
-SELECT '[1,,3]'::halfvec;
-SELECT '[1, ,3]'::halfvec;
-
-SELECT '[1,2,3]'::halfvec(3);
-SELECT '[1,2,3]'::halfvec(2);
-SELECT '[1,2,3]'::halfvec(3, 2);
-SELECT '[1,2,3]'::halfvec('a');
-SELECT '[1,2,3]'::halfvec(0);
-SELECT '[1,2,3]'::halfvec(16001);
-
-SELECT unnest('{"[1,2,3]", "[4,5,6]"}'::halfvec[]);
-SELECT '{"[1,2,3]"}'::halfvec(2)[];
-
-SELECT '[1,2,3]'::halfvec + '[4,5,6]';
-SELECT '[65519]'::halfvec + '[65519]';
-SELECT '[1,2]'::halfvec + '[3]';
-
-SELECT '[1,2,3]'::halfvec - '[4,5,6]';
-SELECT '[-65519]'::halfvec - '[65519]';
-SELECT '[1,2]'::halfvec - '[3]';
-
-SELECT '[1,2,3]'::halfvec * '[4,5,6]';
-SELECT '[65519]'::halfvec * '[65519]';
-SELECT '[1e-7]'::halfvec * '[1e-7]';
-SELECT '[1,2]'::halfvec * '[3]';
-
-SELECT '[1,2,3]'::halfvec || '[4,5]';
-SELECT array_fill(0, ARRAY[16000])::halfvec || '[1]';
-
-SELECT '[1,2,3]'::halfvec < '[1,2,3]';
-SELECT '[1,2,3]'::halfvec < '[1,2]';
-SELECT '[1,2,3]'::halfvec <= '[1,2,3]';
-SELECT '[1,2,3]'::halfvec <= '[1,2]';
-SELECT '[1,2,3]'::halfvec = '[1,2,3]';
-SELECT '[1,2,3]'::halfvec = '[1,2]';
-SELECT '[1,2,3]'::halfvec != '[1,2,3]';
-SELECT '[1,2,3]'::halfvec != '[1,2]';
-SELECT '[1,2,3]'::halfvec >= '[1,2,3]';
-SELECT '[1,2,3]'::halfvec >= '[1,2]';
-SELECT '[1,2,3]'::halfvec > '[1,2,3]';
-SELECT '[1,2,3]'::halfvec > '[1,2]';
-
-SELECT halfvec_cmp('[1,2,3]', '[1,2,3]');
-SELECT halfvec_cmp('[1,2,3]', '[0,0,0]');
-SELECT halfvec_cmp('[0,0,0]', '[1,2,3]');
-SELECT halfvec_cmp('[1,2]', '[1,2,3]');
-SELECT halfvec_cmp('[1,2,3]', '[1,2]');
-SELECT halfvec_cmp('[1,2]', '[2,3,4]');
-SELECT halfvec_cmp('[2,3]', '[1,2,3]');
-
-SELECT vector_dims('[1,2,3]'::halfvec);
-
-SELECT round(l2_norm('[1,1]'::halfvec)::numeric, 5);
-SELECT l2_norm('[3,4]'::halfvec);
-SELECT l2_norm('[0,1]'::halfvec);
-SELECT l2_norm('[0,0]'::halfvec);
-SELECT l2_norm('[2]'::halfvec);
-
-SELECT l2_distance('[0,0]'::halfvec, '[3,4]');
-SELECT l2_distance('[0,0]'::halfvec, '[0,1]');
-SELECT l2_distance('[1,2]'::halfvec, '[3]');
-SELECT l2_distance('[1,1,1,1,1,1,1,1,1]'::halfvec, '[1,1,1,1,1,1,1,4,5]');
-SELECT '[0,0]'::halfvec <-> '[3,4]';
-
-SELECT inner_product('[1,2]'::halfvec, '[3,4]');
-SELECT inner_product('[1,2]'::halfvec, '[3]');
-SELECT inner_product('[65504]'::halfvec, '[65504]');
-SELECT inner_product('[1,1,1,1,1,1,1,1,1]'::halfvec, '[1,2,3,4,5,6,7,8,9]');
-SELECT '[1,2]'::halfvec <#> '[3,4]';
-
-SELECT cosine_distance('[1,2]'::halfvec, '[2,4]');
-SELECT cosine_distance('[1,2]'::halfvec, '[0,0]');
-SELECT cosine_distance('[1,1]'::halfvec, '[1,1]');
-SELECT cosine_distance('[1,0]'::halfvec, '[0,2]');
-SELECT cosine_distance('[1,1]'::halfvec, '[-1,-1]');
-SELECT cosine_distance('[1,2]'::halfvec, '[3]');
-SELECT cosine_distance('[1,1]'::halfvec, '[1.1,1.1]');
-SELECT cosine_distance('[1,1]'::halfvec, '[-1.1,-1.1]');
-SELECT cosine_distance('[1,2,3,4,5,6,7,8,9]'::halfvec, '[1,2,3,4,5,6,7,8,9]');
-SELECT cosine_distance('[1,2,3,4,5,6,7,8,9]'::halfvec, '[-1,-2,-3,-4,-5,-6,-7,-8,-9]');
-SELECT '[1,2]'::halfvec <=> '[2,4]';
-
-SELECT l1_distance('[0,0]'::halfvec, '[3,4]');
-SELECT l1_distance('[0,0]'::halfvec, '[0,1]');
-SELECT l1_distance('[1,2]'::halfvec, '[3]');
-SELECT l1_distance('[1,2,3,4,5,6,7,8,9]'::halfvec, '[1,2,3,4,5,6,7,8,9]');
-SELECT l1_distance('[1,2,3,4,5,6,7,8,9]'::halfvec, '[0,3,2,5,4,7,6,9,8]');
-SELECT '[0,0]'::halfvec <+> '[3,4]';
-
-SELECT l2_normalize('[3,4]'::halfvec);
-SELECT l2_normalize('[3,0]'::halfvec);
-SELECT l2_normalize('[0,0.1]'::halfvec);
-SELECT l2_normalize('[0,0]'::halfvec);
-SELECT l2_normalize('[65504]'::halfvec);
-
-SELECT binary_quantize('[1,0,-1]'::halfvec);
-SELECT binary_quantize('[0,0.1,-0.2,-0.3,0.4,0.5,0.6,-0.7,0.8,-0.9,1]'::halfvec);
-SELECT binary_quantize('[1,2,3,-4,5,6,-7,8,1,-2,-3,4,5,-6,7,8,-1,2,3]'::halfvec);
-
-SELECT subvector('[1,2,3,4,5]'::halfvec, 1, 3);
-SELECT subvector('[1,2,3,4,5]'::halfvec, 3, 2);
-SELECT subvector('[1,2,3,4,5]'::halfvec, -1, 3);
-SELECT subvector('[1,2,3,4,5]'::halfvec, 3, 9);
-SELECT subvector('[1,2,3,4,5]'::halfvec, 1, 0);
-SELECT subvector('[1,2,3,4,5]'::halfvec, 3, -1);
-SELECT subvector('[1,2,3,4,5]'::halfvec, -1, 2);
-SELECT subvector('[1,2,3,4,5]'::halfvec, 2147483647, 10);
-SELECT subvector('[1,2,3,4,5]'::halfvec, 3, 2147483647);
-SELECT subvector('[1,2,3,4,5]'::halfvec, -2147483644, 2147483647);
-
-SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::halfvec, '[3,5,7]']) v;
-SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::halfvec, '[3,5,7]', NULL]) v;
-SELECT avg(v) FROM unnest(ARRAY[]::halfvec[]) v;
-SELECT avg(v) FROM unnest(ARRAY['[1,2]'::halfvec, '[3]']) v;
-SELECT avg(v) FROM unnest(ARRAY['[65504]'::halfvec, '[65504]']) v;
-SELECT halfvec_avg(array_agg(n)) FROM generate_series(1, 16002) n;
-
-SELECT sum(v) FROM unnest(ARRAY['[1,2,3]'::halfvec, '[3,5,7]']) v;
-SELECT sum(v) FROM unnest(ARRAY['[1,2,3]'::halfvec, '[3,5,7]', NULL]) v;
-SELECT sum(v) FROM unnest(ARRAY[]::halfvec[]) v;
-SELECT sum(v) FROM unnest(ARRAY['[1,2]'::halfvec, '[3]']) v;
-SELECT sum(v) FROM unnest(ARRAY['[65504]'::halfvec, '[65504]']) v;

test/sql/hnsw_bit.sql

@@ -1,45 +0,0 @@
-SET enable_seqscan = off;
-
--- hamming
-
-CREATE TABLE t (val bit(3));
-INSERT INTO t (val) VALUES (B'000'), (B'100'), (B'111'), (NULL);
-CREATE INDEX ON t USING hnsw (val bit_hamming_ops);
-
-INSERT INTO t (val) VALUES (B'110');
-
-SELECT * FROM t ORDER BY val <~> B'111';
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <~> (SELECT NULL::bit)) t2;
-
-DROP TABLE t;
-
--- jaccard
-
-CREATE TABLE t (val bit(4));
-INSERT INTO t (val) VALUES (B'0000'), (B'1100'), (B'1111'), (NULL);
-CREATE INDEX ON t USING hnsw (val bit_jaccard_ops);
-
-INSERT INTO t (val) VALUES (B'1110');
-
-SELECT * FROM t ORDER BY val <%> B'1111';
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <%> (SELECT NULL::bit)) t2;
-
-DROP TABLE t;
-
--- varbit
-
-CREATE TABLE t (val varbit(3));
-CREATE INDEX ON t USING hnsw (val bit_hamming_ops);
-CREATE INDEX ON t USING hnsw ((val::bit(3)) bit_hamming_ops);
-CREATE INDEX ON t USING hnsw ((val::bit(64001)) bit_hamming_ops);
-DROP TABLE t;
-
--- dimensions
-
-CREATE TABLE t (val bit(64000));
-CREATE INDEX ON t USING hnsw (val bit_hamming_ops);
-DROP TABLE t;
-
-CREATE TABLE t (val bit(64001));
-CREATE INDEX ON t USING hnsw (val bit_hamming_ops);
-DROP TABLE t;

test/sql/hnsw_cosine.sql

@@ -0,0 +1,13 @@
+SET enable_seqscan = off;
+
+CREATE TABLE t (val vector(3));
+INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
+CREATE INDEX ON t USING hnsw (val vector_cosine_ops);
+
+INSERT INTO t (val) VALUES ('[1,2,4]');
+
+SELECT * FROM t ORDER BY val <=> '[3,3,3]';
+SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '[0,0,0]') t2;
+SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::vector)) t2;
+
+DROP TABLE t;

test/sql/hnsw_halfvec.sql

@@ -1,68 +0,0 @@
-SET enable_seqscan = off;
-
--- L2
-
-CREATE TABLE t (val halfvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val halfvec_l2_ops);
-
-INSERT INTO t (val) VALUES ('[1,2,4]');
-
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <-> (SELECT NULL::halfvec)) t2;
-SELECT COUNT(*) FROM t;
-
-TRUNCATE t;
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-
-DROP TABLE t;
-
--- inner product
-
-CREATE TABLE t (val halfvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val halfvec_ip_ops);
-
-INSERT INTO t (val) VALUES ('[1,2,4]');
-
-SELECT * FROM t ORDER BY val <#> '[3,3,3]';
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <#> (SELECT NULL::halfvec)) t2;
-
-DROP TABLE t;
-
--- cosine
-
-CREATE TABLE t (val halfvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val halfvec_cosine_ops);
-
-INSERT INTO t (val) VALUES ('[1,2,4]');
-
-SELECT * FROM t ORDER BY val <=> '[3,3,3]';
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '[0,0,0]') t2;
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::halfvec)) t2;
-
-DROP TABLE t;
-
--- L1
-
-CREATE TABLE t (val halfvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val halfvec_l1_ops);
-
-INSERT INTO t (val) VALUES ('[1,2,4]');
-
-SELECT * FROM t ORDER BY val <+> '[3,3,3]';
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <+> (SELECT NULL::halfvec)) t2;
-
-DROP TABLE t;
-
--- dimensions
-
-CREATE TABLE t (val halfvec(4000));
-CREATE INDEX ON t USING hnsw (val halfvec_l2_ops);
-DROP TABLE t;
-
-CREATE TABLE t (val halfvec(4001));
-CREATE INDEX ON t USING hnsw (val halfvec_l2_ops);
-DROP TABLE t;

test/sql/hnsw_ip.sql

@@ -0,0 +1,12 @@
+SET enable_seqscan = off;
+
+CREATE TABLE t (val vector(3));
+INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
+CREATE INDEX ON t USING hnsw (val vector_ip_ops);
+
+INSERT INTO t (val) VALUES ('[1,2,4]');
+
+SELECT * FROM t ORDER BY val <#> '[3,3,3]';
+SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <#> (SELECT NULL::vector)) t2;
+
+DROP TABLE t;

test/sql/hnsw_l2.sql

@@ -0,0 +1,16 @@
+SET enable_seqscan = off;
+
+CREATE TABLE t (val vector(3));
+INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
+CREATE INDEX ON t USING hnsw (val vector_l2_ops);
+
+INSERT INTO t (val) VALUES ('[1,2,4]');
+
+SELECT * FROM t ORDER BY val <-> '[3,3,3]';
+SELECT * FROM t ORDER BY val <-> (SELECT NULL::vector);
+SELECT COUNT(*) FROM t;
+
+TRUNCATE t;
+SELECT * FROM t ORDER BY val <-> '[3,3,3]';
+
+DROP TABLE t;

test/sql/hnsw_options.sql

@@ -0,0 +1,13 @@
+CREATE TABLE t (val vector(3));
+CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (m = 1);
+CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (m = 101);
+CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (ef_construction = 3);
+CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (ef_construction = 1001);
+CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (m = 16, ef_construction = 31);
+
+SHOW hnsw.ef_search;
+
+SET hnsw.ef_search = 0;
+SET hnsw.ef_search = 1001;
+
+DROP TABLE t;

test/sql/hnsw_sparsevec.sql

@@ -1,68 +0,0 @@
-SET enable_seqscan = off;
-
--- L2
-
-CREATE TABLE t (val sparsevec(3));
-INSERT INTO t (val) VALUES ('{}/3'), ('{1:1,2:2,3:3}/3'), ('{1:1,2:1,3:1}/3'), (NULL);
-CREATE INDEX ON t USING hnsw (val sparsevec_l2_ops);
-
-INSERT INTO t (val) VALUES ('{1:1,2:2,3:4}/3');
-
-SELECT * FROM t ORDER BY val <-> '{1:3,2:3,3:3}/3';
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <-> (SELECT NULL::sparsevec)) t2;
-SELECT COUNT(*) FROM t;
-
-TRUNCATE t;
-SELECT * FROM t ORDER BY val <-> '{1:3,2:3,3:3}/3';
-
-DROP TABLE t;
-
--- inner product
-
-CREATE TABLE t (val sparsevec(3));
-INSERT INTO t (val) VALUES ('{}/3'), ('{1:1,2:2,3:3}/3'), ('{1:1,2:1,3:1}/3'), (NULL);
-CREATE INDEX ON t USING hnsw (val sparsevec_ip_ops);
-
-INSERT INTO t (val) VALUES ('{1:1,2:2,3:4}/3');
-
-SELECT * FROM t ORDER BY val <#> '{1:3,2:3,3:3}/3';
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <#> (SELECT NULL::sparsevec)) t2;
-
-DROP TABLE t;
-
--- cosine
-
-CREATE TABLE t (val sparsevec(3));
-INSERT INTO t (val) VALUES ('{}/3'), ('{1:1,2:2,3:3}/3'), ('{1:1,2:1,3:1}/3'), (NULL);
-CREATE INDEX ON t USING hnsw (val sparsevec_cosine_ops);
-
-INSERT INTO t (val) VALUES ('{1:1,2:2,3:4}/3');
-
-SELECT * FROM t ORDER BY val <=> '{1:3,2:3,3:3}/3';
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '{}/3') t2;
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::sparsevec)) t2;
-
-DROP TABLE t;
-
--- L1
-
-CREATE TABLE t (val sparsevec(3));
-INSERT INTO t (val) VALUES ('{}/3'), ('{1:1,2:2,3:3}/3'), ('{1:1,2:1,3:1}/3'), (NULL);
-CREATE INDEX ON t USING hnsw (val sparsevec_l1_ops);
-
-INSERT INTO t (val) VALUES ('{1:1,2:2,3:4}/3');
-
-SELECT * FROM t ORDER BY val <+> '{1:3,2:3,3:3}/3';
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <+> (SELECT NULL::sparsevec)) t2;
-
-DROP TABLE t;
-
--- non-zero elements
-
-CREATE TABLE t (val sparsevec(1001));
-INSERT INTO t (val) VALUES (array_fill(1, ARRAY[1001])::vector::sparsevec);
-CREATE INDEX ON t USING hnsw (val sparsevec_l2_ops);
-TRUNCATE t;
-CREATE INDEX ON t USING hnsw (val sparsevec_l2_ops);
-INSERT INTO t (val) VALUES (array_fill(1, ARRAY[1001])::vector::sparsevec);
-DROP TABLE t;

test/sql/hnsw_unlogged.sql

@@ -0,0 +1,9 @@
+SET enable_seqscan = off;
+
+CREATE UNLOGGED TABLE t (val vector(3));
+INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
+CREATE INDEX ON t USING hnsw (val vector_l2_ops);
+
+SELECT * FROM t ORDER BY val <-> '[3,3,3]';
+
+DROP TABLE t;

test/sql/hnsw_vector.sql

@@ -1,122 +0,0 @@
-SET enable_seqscan = off;
-
--- L2
-
-CREATE TABLE t (val vector(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val vector_l2_ops);
-
-INSERT INTO t (val) VALUES ('[1,2,4]');
-
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <-> (SELECT NULL::vector)) t2;
-SELECT COUNT(*) FROM t;
-
-TRUNCATE t;
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-
-DROP TABLE t;
-
--- inner product
-
-CREATE TABLE t (val vector(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val vector_ip_ops);
-
-INSERT INTO t (val) VALUES ('[1,2,4]');
-
-SELECT * FROM t ORDER BY val <#> '[3,3,3]';
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <#> (SELECT NULL::vector)) t2;
-
-DROP TABLE t;
-
--- cosine
-
-CREATE TABLE t (val vector(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val vector_cosine_ops);
-
-INSERT INTO t (val) VALUES ('[1,2,4]');
-
-SELECT * FROM t ORDER BY val <=> '[3,3,3]';
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '[0,0,0]') t2;
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::vector)) t2;
-
-DROP TABLE t;
-
--- L1
-
-CREATE TABLE t (val vector(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val vector_l1_ops);
-
-INSERT INTO t (val) VALUES ('[1,2,4]');
-
-SELECT * FROM t ORDER BY val <+> '[3,3,3]';
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <+> (SELECT NULL::vector)) t2;
-
-DROP TABLE t;
-
--- iterative
-
-CREATE TABLE t (val vector(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val vector_l2_ops);
-
-SET hnsw.iterative_scan = strict_order;
-SET hnsw.ef_search = 1;
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-
-SET hnsw.iterative_scan = relaxed_order;
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-
-TRUNCATE t;
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-
-RESET hnsw.iterative_scan;
-RESET hnsw.ef_search;
-DROP TABLE t;
-
--- unlogged
-
-CREATE UNLOGGED TABLE t (val vector(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val vector_l2_ops);
-
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-
-DROP TABLE t;
-
--- options
-
-CREATE TABLE t (val vector(3));
-CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (m = 1);
-CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (m = 101);
-CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (ef_construction = 3);
-CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (ef_construction = 1001);
-CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (m = 16, ef_construction = 31);
-DROP TABLE t;
-
-SHOW hnsw.ef_search;
-SET hnsw.ef_search = 0;
-SET hnsw.ef_search = 1001;
-
-SHOW hnsw.iterative_scan;
-SET hnsw.iterative_scan = on;
-
-SHOW hnsw.max_scan_tuples;
-SET hnsw.max_scan_tuples = 0;
-
-SHOW hnsw.scan_mem_multiplier;
-SET hnsw.scan_mem_multiplier = 0;
-SET hnsw.scan_mem_multiplier = 1001;
-
--- dimensions
-
-CREATE TABLE t (val vector(2000));
-CREATE INDEX ON t USING hnsw (val vector_l2_ops);
-DROP TABLE t;
-
-CREATE TABLE t (val vector(2001));
-CREATE INDEX ON t USING hnsw (val vector_l2_ops);
-DROP TABLE t;

test/sql/input.sql

@@ -0,0 +1,28 @@
+SELECT '[1,2,3]'::vector;
+SELECT '[-1,-2,-3]'::vector;
+SELECT '[1.,2.,3.]'::vector;
+SELECT ' [ 1,  2 ,    3  ] '::vector;
+SELECT '[1.23456]'::vector;
+SELECT '[hello,1]'::vector;
+SELECT '[NaN,1]'::vector;
+SELECT '[Infinity,1]'::vector;
+SELECT '[-Infinity,1]'::vector;
+SELECT '[1.5e38,-1.5e38]'::vector;
+SELECT '[1.5e+38,-1.5e+38]'::vector;
+SELECT '[1.5e-38,-1.5e-38]'::vector;
+SELECT '[4e38,1]'::vector;
+SELECT '[1,2,3'::vector;
+SELECT '[1,2,3]9'::vector;
+SELECT '1,2,3'::vector;
+SELECT ''::vector;
+SELECT '['::vector;
+SELECT '[,'::vector;
+SELECT '[]'::vector;
+SELECT '[1,]'::vector;
+SELECT '[1a]'::vector;
+SELECT '[1,,3]'::vector;
+SELECT '[1, ,3]'::vector;
+SELECT '[1,2,3]'::vector(2);
+
+SELECT unnest('{"[1,2,3]", "[4,5,6]"}'::vector[]);
+SELECT '{"[1,2,3]"}'::vector(2)[];

test/sql/ivfflat_bit.sql

@@ -1,48 +0,0 @@
-SET enable_seqscan = off;
-
--- hamming
-
-CREATE TABLE t (val bit(3));
-INSERT INTO t (val) VALUES (B'000'), (B'100'), (B'111'), (NULL);
-CREATE INDEX ON t USING ivfflat (val bit_hamming_ops) WITH (lists = 1);
-
-INSERT INTO t (val) VALUES (B'110');
-
-SELECT * FROM t ORDER BY val <~> B'111';
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <~> (SELECT NULL::bit)) t2;
-
-DROP TABLE t;
-
--- varbit
-
-CREATE TABLE t (val varbit(3));
-CREATE INDEX ON t USING ivfflat (val bit_hamming_ops) WITH (lists = 1);
-CREATE INDEX ON t USING ivfflat ((val::bit(3)) bit_hamming_ops) WITH (lists = 1);
-CREATE INDEX ON t USING ivfflat ((val::bit(64001)) bit_hamming_ops) WITH (lists = 1);
-CREATE INDEX ON t USING ivfflat ((val::bit(2)) bit_hamming_ops) WITH (lists = 5);
-DROP TABLE t;
-
--- dimensions
-
-CREATE TABLE t (val bit(64000));
-CREATE INDEX ON t USING ivfflat (val bit_hamming_ops);
-DROP TABLE t;
-
-CREATE TABLE t (val bit(64001));
-CREATE INDEX ON t USING ivfflat (val bit_hamming_ops);
-DROP TABLE t;
-
--- memory
-
-SET maintenance_work_mem = '1MB';
-CREATE TABLE t (val bit(64000));
-CREATE INDEX ON t USING ivfflat (val bit_hamming_ops);
-DROP TABLE t;
-RESET maintenance_work_mem;
-
-SET maintenance_work_mem = '29MB';
-CREATE TABLE t (val bit(64000));
-INSERT INTO t (val) VALUES (B'0'::bit(64000));
-CREATE INDEX ON t USING ivfflat (val bit_hamming_ops);
-DROP TABLE t;
-RESET maintenance_work_mem;

test/sql/ivfflat_cosine.sql

@@ -0,0 +1,13 @@
+SET enable_seqscan = off;
+
+CREATE TABLE t (val vector(3));
+INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
+CREATE INDEX ON t USING ivfflat (val vector_cosine_ops) WITH (lists = 1);
+
+INSERT INTO t (val) VALUES ('[1,2,4]');
+
+SELECT * FROM t ORDER BY val <=> '[3,3,3]';
+SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '[0,0,0]') t2;
+SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::vector)) t2;
+
+DROP TABLE t;

test/sql/ivfflat_halfvec.sql

@@ -1,70 +0,0 @@
-SET enable_seqscan = off;
-
--- L2
-
-CREATE TABLE t (val halfvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING ivfflat (val halfvec_l2_ops) WITH (lists = 1);
-
-INSERT INTO t (val) VALUES ('[1,2,4]');
-
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <-> (SELECT NULL::halfvec)) t2;
-SELECT COUNT(*) FROM t;
-
-TRUNCATE t;
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-
-DROP TABLE t;
-
--- inner product
-
-CREATE TABLE t (val halfvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING ivfflat (val halfvec_ip_ops) WITH (lists = 1);
-
-INSERT INTO t (val) VALUES ('[1,2,4]');
-
-SELECT * FROM t ORDER BY val <#> '[3,3,3]';
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <#> (SELECT NULL::halfvec)) t2;
-
-DROP TABLE t;
-
--- cosine
-
-CREATE TABLE t (val halfvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING ivfflat (val halfvec_cosine_ops) WITH (lists = 1);
-
-INSERT INTO t (val) VALUES ('[1,2,4]');
-
-SELECT * FROM t ORDER BY val <=> '[3,3,3]';
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '[0,0,0]') t2;
-SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::halfvec)) t2;
-
-DROP TABLE t;
-
--- dimensions
-
-CREATE TABLE t (val halfvec(4000));
-CREATE INDEX ON t USING ivfflat (val halfvec_l2_ops);
-DROP TABLE t;
-
-CREATE TABLE t (val halfvec(4001));
-CREATE INDEX ON t USING ivfflat (val halfvec_l2_ops);
-DROP TABLE t;
-
--- memory
-
-SET maintenance_work_mem = '1MB';
-CREATE TABLE t (val halfvec(4000));
-CREATE INDEX ON t USING ivfflat (val halfvec_l2_ops);
-DROP TABLE t;
-RESET maintenance_work_mem;
-
-SET maintenance_work_mem = '6MB';
-CREATE TABLE t (val halfvec(4000));
-INSERT INTO t (val) VALUES (array_fill(0, ARRAY[4000]));
-CREATE INDEX ON t USING ivfflat (val halfvec_l2_ops);
-DROP TABLE t;
-RESET maintenance_work_mem;