Use maintenance_io_concurrency where needed [skip ci]

This reverts commit 33ca8a61e2.

.dockerignore

@@ -1,8 +1,15 @@
 /.git/
 /dist/
+/log/
 /results/
 /tmp_check/
 /sql/vector--?.?.?.sql
 regression.*
 *.o
 *.so
+*.bc
+*.dll
+*.dylib
+*.obj
+*.lib
+*.exp

.github/workflows/build.yml

@@ -8,18 +8,18 @@ jobs:
       fail-fast: false
       matrix:
         include:
-          # - postgres: 18
+          - postgres: 18
-          #   os: ubuntu-24.04
+            os: ubuntu-24.04
           - postgres: 17
             os: ubuntu-24.04
           - postgres: 16
-            os: ubuntu-22.04
+            os: ubuntu-24.04-arm
           - postgres: 15
             os: ubuntu-22.04
           - postgres: 14
-            os: ubuntu-20.04
+            os: ubuntu-22.04-arm
           - postgres: 13
-            os: ubuntu-20.04
+            os: ubuntu-22.04
     steps:
       - uses: actions/checkout@v4
       - uses: ankane/setup-postgres@v1
@@ -28,7 +28,7 @@ jobs:
           dev-files: true
       - run: make
         env:
-          PG_CFLAGS: -DUSE_ASSERT_CHECKING -Wall -Wextra -Werror -Wno-unused-parameter -Wno-sign-compare
+          PG_CFLAGS: ${{ matrix.postgres == 18 && '-Wno-missing-field-initializers' || '' }} -DUSE_ASSERT_CHECKING -Wall -Wextra -Werror -Wno-unused-parameter -Wno-sign-compare
       - run: |
           export PG_CONFIG=`which pg_config`
           sudo --preserve-env=PG_CONFIG make install
@@ -46,8 +46,8 @@ jobs:
       fail-fast: false
       matrix:
         include:
-          - postgres: 16
+          - postgres: 17
-            os: macos-14
+            os: macos-15
           - postgres: 14
             os: macos-13
     steps:
@@ -57,7 +57,7 @@ jobs:
           postgres-version: ${{ matrix.postgres }}
       - run: make
         env:
-          PG_CFLAGS: -DUSE_ASSERT_CHECKING -Wall -Wextra -Werror -Wno-unused-parameter
+          PG_CFLAGS: -DUSE_ASSERT_CHECKING -Wall -Wextra -Werror -Wno-unused-parameter -Wno-unknown-warning-option
       - run: make install
       - run: make installcheck
       - if: ${{ failure() }}
@@ -70,12 +70,13 @@ jobs:
           tar xf $TAG.tar.gz
           mv postgres-$TAG postgres
         env:
-          TAG: ${{ matrix.postgres == 16 && 'REL_16_2' || 'REL_14_11' }}
+          TAG: ${{ matrix.postgres == 17 && 'REL_17_2' || 'REL_14_15' }}
       - 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@15)/bin/scan-build --status-bugs make
+      - run: make clean && $(brew --prefix llvm@$LLVM_VERSION)/bin/scan-build --status-bugs make
         env:
+          LLVM_VERSION: ${{ matrix.os == 'macos-15' && 18 || 15 }}
           PG_CFLAGS: -DUSE_ASSERT_CHECKING
   windows:
     runs-on: windows-latest
@@ -125,7 +126,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: ankane/setup-postgres-valgrind@v1
         with:
-          postgres-version: 16
+          postgres-version: 17
           check-ub: yes
       - run: make OPTFLAGS=""
       - run: sudo --preserve-env=PG_CONFIG make install

CHANGELOG.md

@@ -1,11 +1,14 @@
-## 0.8.0 (unreleased)
+## 0.8.1 (unreleased)
+
+- Improved performance of HNSW index scans for Postgres 17
+
+## 0.8.0 (2024-10-30)
 
 - Added support for iterative index scans
-- Added `intvec` type
 - Added casts for arrays to `sparsevec`
-- Improved cost estimation
+- 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
-- Reduced memory usage for HNSW index scans
 - Dropped support for Postgres 12
 
 ## 0.7.4 (2024-08-05)

LICENSE

@@ -1,4 +1,4 @@
-Portions Copyright (c) 1996-2024, PostgreSQL Global Development Group
+Portions Copyright (c) 1996-2025, PostgreSQL Global Development Group
 
 Portions Copyright (c) 1994, The Regents of the University of California
 

META.json

@@ -2,7 +2,7 @@
 	"name": "vector",
 	"abstract": "Open-source vector similarity search for Postgres",
 	"description": "Supports L2 distance, inner product, and cosine distance",
-	"version": "0.7.4",
+	"version": "0.8.0",
 	"maintainer": [
 		"Andrew Kane <andrew@ankane.org>"
 	],
@@ -12,7 +12,7 @@
 	"prereqs": {
 		"runtime": {
 			"requires": {
-				"PostgreSQL": "12.0.0"
+				"PostgreSQL": "13.0.0"
 			}
 		}
 	},
@@ -20,7 +20,7 @@
 		"vector": {
 			"file": "sql/vector.sql",
 			"docfile": "README.md",
-			"version": "0.7.4",
+			"version": "0.8.0",
 			"abstract": "Open-source vector similarity search for Postgres"
 		}
 	},

Makefile

@@ -1,11 +1,11 @@
 EXTENSION = vector
-EXTVERSION = 0.7.4
+EXTVERSION = 0.8.0
 
 MODULE_big = vector
 DATA = $(wildcard sql/*--*--*.sql)
 DATA_built = sql/$(EXTENSION)--$(EXTVERSION).sql
-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/intvec.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
+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/halfvec.h src/intvec.h src/sparsevec.h src/vector.h
+HEADERS = src/halfvec.h src/sparsevec.h src/vector.h
 
 TESTS = $(wildcard test/sql/*.sql)
 REGRESS = $(patsubst test/sql/%.sql,%,$(TESTS))

Makefile.win

@@ -1,9 +1,9 @@
 EXTENSION = vector
-EXTVERSION = 0.7.4
+EXTVERSION = 0.8.0
 
 DATA_built = sql\$(EXTENSION)--$(EXTVERSION).sql
-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\intvec.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
+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\halfvec.h src\intvec.h src\sparsevec.h 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_OPTS = --inputdir=test --load-extension=$(EXTENSION)

README.md

@@ -17,11 +17,11 @@ Plus [ACID](https://en.wikipedia.org/wiki/ACID) compliance, point-in-time recove
 
 ### Linux and Mac
 
-Compile and install the extension (supports Postgres 12+)
+Compile and install the extension (supports Postgres 13+)
 
 ```sh
 cd /tmp
-git clone --branch v0.7.4 https://github.com/pgvector/pgvector.git
+git clone --branch v0.8.0 https://github.com/pgvector/pgvector.git
 cd pgvector
 make
 make install # may need sudo
@@ -33,27 +33,17 @@ You can also install it with [Docker](#docker), [Homebrew](#homebrew), [PGXN](#p
 
 ### Windows
 
-Ensure [C++ support in Visual Studio](https://learn.microsoft.com/en-us/cpp/build/building-on-the-command-line?view=msvc-170#download-and-install-the-tools) is installed, and run:
+Ensure [C++ support in Visual Studio](https://learn.microsoft.com/en-us/cpp/build/building-on-the-command-line?view=msvc-170#download-and-install-the-tools) is installed and run `x64 Native Tools Command Prompt for VS [version]` as administrator. Then use `nmake` to build:
 
 ```cmd
-call "C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Auxiliary\Build\vcvars64.bat"
+set "PGROOT=C:\Program Files\PostgreSQL\17"
-```
-
-Note: The exact path will vary depending on your Visual Studio version and edition
-
-Then use `nmake` to build:
-
-```cmd
-set "PGROOT=C:\Program Files\PostgreSQL\16"
 cd %TEMP%
-git clone --branch v0.7.4 https://github.com/pgvector/pgvector.git
+git clone --branch v0.8.0 https://github.com/pgvector/pgvector.git
 cd pgvector
 nmake /F Makefile.win
 nmake /F Makefile.win install
 ```
 
-Note: Postgres 17 is not supported yet due to an upstream issue
-
 See the [installation notes](#installation-notes---windows) if you run into issues
 
 You can also install it with [Docker](#docker) or [conda-forge](#conda-forge).
@@ -84,7 +74,7 @@ Get the nearest neighbors by L2 distance
 SELECT * FROM items ORDER BY embedding <-> '[3,1,2]' LIMIT 5;
 ```
 
-Also supports inner product (`<#>`), cosine distance (`<=>`), and L1 distance (`<+>`, added in 0.7.0)
+Also supports inner product (`<#>`), cosine distance (`<=>`), and L1 distance (`<+>`)
 
 Note: `<#>` returns the negative inner product since Postgres only supports `ASC` order index scans on operators
 
@@ -148,9 +138,9 @@ Supported distance functions are:
 - `<->` - L2 distance
 - `<#>` - (negative) inner product
 - `<=>` - cosine distance
-- `<+>` - L1 distance (added in 0.7.0)
+- `<+>` - L1 distance
-- `<~>` - Hamming distance (binary vectors, added in 0.7.0)
+- `<~>` - Hamming distance (binary vectors)
-- `<%>` - Jaccard distance (binary vectors, added in 0.7.0)
+- `<%>` - Jaccard distance (binary vectors)
 
 Get the nearest neighbors to a row
 
@@ -223,7 +213,7 @@ L2 distance
 CREATE INDEX ON items USING hnsw (embedding vector_l2_ops);
 ```
 
-Note: Use `halfvec_l2_ops` for `halfvec`, `intvec_l2_ops` for `intvec`, and `sparsevec_l2_ops` for `sparsevec` (and similar with the other distance functions)
+Note: Use `halfvec_l2_ops` for `halfvec` and `sparsevec_l2_ops` for `sparsevec` (and similar with the other distance functions)
 
 Inner product
 
@@ -237,19 +227,19 @@ Cosine distance
 CREATE INDEX ON items USING hnsw (embedding vector_cosine_ops);
 ```
 
-L1 distance - added in 0.7.0
+L1 distance
 
 ```sql
 CREATE INDEX ON items USING hnsw (embedding vector_l1_ops);
 ```
 
-Hamming distance - added in 0.7.0
+Hamming distance
 
 ```sql
 CREATE INDEX ON items USING hnsw (embedding bit_hamming_ops);
 ```
 
-Jaccard distance - added in 0.7.0
+Jaccard distance
 
 ```sql
 CREATE INDEX ON items USING hnsw (embedding bit_jaccard_ops);
@@ -258,10 +248,9 @@ CREATE INDEX ON items USING hnsw (embedding bit_jaccard_ops);
 Supported types are:
 
 - `vector` - up to 2,000 dimensions
-- `halfvec` - up to 4,000 dimensions (added in 0.7.0)
+- `halfvec` - up to 4,000 dimensions
-- `intvec` - up to 8,000 dimensions (added in 0.8.0)
+- `bit` - up to 64,000 dimensions
-- `bit` - up to 64,000 dimensions (added in 0.7.0)
+- `sparsevec` - up to 1,000 non-zero elements
-- `sparsevec` - up to 1,000 non-zero elements (added in 0.7.0)
 
 ### Index Options
 
@@ -315,17 +304,19 @@ Note: Do not set `maintenance_work_mem` so high that it exhausts the memory on t
 
 Like other index types, it’s faster to create an index after loading your initial data
 
-Starting with 0.6.0, you can also speed up index creation by increasing the number of parallel workers (2 by default)
+You can also speed up index creation by increasing the number of parallel workers (2 by default)
 
 ```sql
 SET max_parallel_maintenance_workers = 7; -- plus leader
 ```
 
-For a large number of workers, you may also need to increase `max_parallel_workers` (8 by default)
+For a large number of workers, you may need to increase `max_parallel_workers` (8 by default)
+
+The [index options](#index-options) also have a significant impact on build time (use the defaults unless seeing low recall)
 
 ### Indexing Progress
 
-Check [indexing progress](https://www.postgresql.org/docs/current/progress-reporting.html#CREATE-INDEX-PROGRESS-REPORTING) with Postgres 12+
+Check [indexing progress](https://www.postgresql.org/docs/current/progress-reporting.html#CREATE-INDEX-PROGRESS-REPORTING)
 
 ```sql
 SELECT phase, round(100.0 * blocks_done / nullif(blocks_total, 0), 1) AS "%" FROM pg_stat_progress_create_index;
@@ -368,7 +359,7 @@ Cosine distance
 CREATE INDEX ON items USING ivfflat (embedding vector_cosine_ops) WITH (lists = 100);
 ```
 
-Hamming distance - added in 0.7.0
+Hamming distance
 
 ```sql
 CREATE INDEX ON items USING ivfflat (embedding bit_hamming_ops) WITH (lists = 100);
@@ -377,8 +368,8 @@ CREATE INDEX ON items USING ivfflat (embedding bit_hamming_ops) WITH (lists = 10
 Supported types are:
 
 - `vector` - up to 2,000 dimensions
-- `halfvec` - up to 4,000 dimensions (added in 0.7.0)
+- `halfvec` - up to 4,000 dimensions
-- `bit` - up to 64,000 dimensions (added in 0.7.0)
+- `bit` - up to 64,000 dimensions
 
 ### Query Options
 
@@ -411,7 +402,7 @@ For a large number of workers, you may also need to increase `max_parallel_worke
 
 ### Indexing Progress
 
-Check [indexing progress](https://www.postgresql.org/docs/current/progress-reporting.html#CREATE-INDEX-PROGRESS-REPORTING) with Postgres 12+
+Check [indexing progress](https://www.postgresql.org/docs/current/progress-reporting.html#CREATE-INDEX-PROGRESS-REPORTING)
 
 ```sql
 SELECT phase, round(100.0 * tuples_done / nullif(tuples_total, 0), 1) AS "%" FROM pg_stat_progress_create_index;
@@ -428,33 +419,127 @@ Note: `%` is only populated during the `loading tuples` phase
 
 ## Filtering
 
-There are a few ways to index nearest neighbor queries with a `WHERE` clause
+There are a few ways to index nearest neighbor queries with a `WHERE` clause.
 
 ```sql
 SELECT * FROM items WHERE category_id = 123 ORDER BY embedding <-> '[3,1,2]' LIMIT 5;
 ```
 
-Create an index on one [or more](https://www.postgresql.org/docs/current/indexes-multicolumn.html) of the `WHERE` columns for exact search
+A good place to start is creating an index on the filter column. This can provide fast, exact nearest neighbor search in many cases. Postgres has a number of [index types](https://www.postgresql.org/docs/current/indexes-types.html) for this: B-tree (default), hash, GiST, SP-GiST, GIN, and BRIN.
 
 ```sql
 CREATE INDEX ON items (category_id);
 ```
 
-Or a [partial index](https://www.postgresql.org/docs/current/indexes-partial.html) on the vector column for approximate search
+For multiple columns, consider a [multicolumn index](https://www.postgresql.org/docs/current/indexes-multicolumn.html).
+
+```sql
+CREATE INDEX ON items (location_id, category_id);
+```
+
+Exact indexes work well for conditions that match a low percentage of rows. Otherwise, [approximate indexes](#indexing) can work better.
+
+```sql
+CREATE INDEX ON items USING hnsw (embedding vector_l2_ops);
+```
+
+With approximate indexes, filtering is applied *after* the index is scanned. If a condition matches 10% of rows, with HNSW and the default `hnsw.ef_search` of 40, only 4 rows will match on average. For more rows, increase `hnsw.ef_search`.
+
+```sql
+SET hnsw.ef_search = 200;
+```
+
+Starting with 0.8.0, you can enable [iterative index scans](#iterative-index-scans), which will automatically scan more of the index when needed.
+
+```sql
+SET hnsw.iterative_scan = strict_order;
+```
+
+If filtering by only a few distinct values, consider [partial indexing](https://www.postgresql.org/docs/current/indexes-partial.html).
 
 ```sql
 CREATE INDEX ON items USING hnsw (embedding vector_l2_ops) WHERE (category_id = 123);
 ```
 
-Use [partitioning](https://www.postgresql.org/docs/current/ddl-partitioning.html) for approximate search on many different values of the `WHERE` columns
+If filtering by many different values, consider [partitioning](https://www.postgresql.org/docs/current/ddl-partitioning.html).
 
 ```sql
 CREATE TABLE items (embedding vector(3), category_id int) PARTITION BY LIST(category_id);
 ```
 
-## Half-Precision Vectors
+## Iterative Index Scans
 
-*Added in 0.7.0*
+With approximate indexes, queries with filtering can return less results since filtering is applied *after* the index is scanned. Starting with 0.8.0, you can enable iterative index scans, which will automatically scan more of the index until enough results are found (or it reaches `hnsw.max_scan_tuples` or `ivfflat.max_probes`).
+
+Iterative scans can use strict or relaxed ordering.
+
+Strict ensures results are in the exact order by distance
+
+```sql
+SET hnsw.iterative_scan = strict_order;
+```
+
+Relaxed allows results to be slightly out of order by distance, but provides better recall
+
+```sql
+SET hnsw.iterative_scan = relaxed_order;
+# or
+SET ivfflat.iterative_scan = relaxed_order;
+```
+
+With relaxed ordering, you can use a [materialized CTE](https://www.postgresql.org/docs/current/queries-with.html#QUERIES-WITH-CTE-MATERIALIZATION) to get strict ordering
+
+```sql
+WITH relaxed_results AS MATERIALIZED (
+    SELECT id, embedding <-> '[1,2,3]' AS distance FROM items WHERE category_id = 123 ORDER BY distance LIMIT 5
+) SELECT * FROM relaxed_results ORDER BY distance + 0;
+```
+
+Note: `+ 0` is needed for Postgres 17+
+
+For queries that filter by distance, use a materialized CTE and place the distance filter outside of it for best performance (due to the [current behavior](https://www.postgresql.org/message-id/flat/CAOdR5yGUoMQ6j7M5hNUXrySzaqZVGf_Ne%2B8fwZMRKTFxU1nbJg%40mail.gmail.com) of the Postgres executor)
+
+```sql
+WITH nearest_results AS MATERIALIZED (
+    SELECT id, embedding <-> '[1,2,3]' AS distance FROM items ORDER BY distance LIMIT 5
+) SELECT * FROM nearest_results WHERE distance < 5 ORDER BY distance;
+```
+
+Note: Place any other filters inside the CTE
+
+### Iterative Scan Options
+
+Since scanning a large portion of an approximate index is expensive, there are options to control when a scan ends.
+
+#### HNSW
+
+Specify the max number of tuples to visit (20,000 by default)
+
+```sql
+SET hnsw.max_scan_tuples = 20000;
+```
+
+Note: This is approximate and does not affect the initial scan
+
+Specify the max amount of memory to use, as a multiple of `work_mem` (1 by default)
+
+```sql
+SET hnsw.scan_mem_multiplier = 2;
+```
+
+Note: Try increasing this if increasing `hnsw.max_scan_tuples` does not improve recall
+
+#### IVFFlat
+
+Specify the max number of probes
+
+```sql
+SET ivfflat.max_probes = 100;
+```
+
+Note: If this is lower than `ivfflat.probes`, `ivfflat.probes` will be used
+
+## Half-Precision Vectors
 
 Use the `halfvec` type to store half-precision vectors
 
@@ -464,8 +549,6 @@ CREATE TABLE items (id bigserial PRIMARY KEY, embedding halfvec(3));
 
 ## Half-Precision Indexing
 
-*Added in 0.7.0*
-
 Index vectors at half precision for smaller indexes
 
 ```sql
@@ -478,16 +561,6 @@ Get the nearest neighbors
 SELECT * FROM items ORDER BY embedding::halfvec(3) <-> '[1,2,3]' LIMIT 5;
 ```
 
-## Integer Vectors
-
-*Added in 0.8.0*
-
-Use the `intvec` type to store 8-bit integer vectors
-
-```sql
-CREATE TABLE items (id bigserial PRIMARY KEY, embedding intvec(3));
-```
-
 ## Binary Vectors
 
 Use the `bit` type to store binary vectors ([example](https://github.com/pgvector/pgvector-python/blob/master/examples/imagehash/example.py))
@@ -497,24 +570,16 @@ CREATE TABLE items (id bigserial PRIMARY KEY, embedding bit(3));
 INSERT INTO items (embedding) VALUES ('000'), ('111');
 ```
 
-Get the nearest neighbors by Hamming distance (added in 0.7.0)
+Get the nearest neighbors by Hamming distance
 
 ```sql
 SELECT * FROM items ORDER BY embedding <~> '101' LIMIT 5;
 ```
 
-Or (before 0.7.0)
-
-```sql
-SELECT * FROM items ORDER BY bit_count(embedding # '101') LIMIT 5;
-```
-
 Also supports Jaccard distance (`<%>`)
 
 ## Binary Quantization
 
-*Added in 0.7.0*
-
 Use expression indexing for binary quantization
 
 ```sql
@@ -537,8 +602,6 @@ SELECT * FROM (
 
 ## Sparse Vectors
 
-*Added in 0.7.0*
-
 Use the `sparsevec` type to store sparse vectors
 
 ```sql
@@ -572,8 +635,6 @@ You can use [Reciprocal Rank Fusion](https://github.com/pgvector/pgvector-python
 
 ## Indexing Subvectors
 
-*Added in 0.7.0*
-
 Use expression indexing to index subvectors
 
 ```sql
@@ -687,8 +748,6 @@ SELECT query, calls, ROUND((total_plan_time + total_exec_time) / calls) AS avg_t
     FROM pg_stat_statements ORDER BY total_plan_time + total_exec_time DESC LIMIT 20;
 ```
 
-Note: Replace `total_plan_time + total_exec_time` with `total_time` for Postgres < 13
-
 Monitor recall by comparing results from approximate search with exact search.
 
 ```sql
@@ -716,13 +775,17 @@ C | [pgvector-c](https://github.com/pgvector/pgvector-c)
 C++ | [pgvector-cpp](https://github.com/pgvector/pgvector-cpp)
 C#, F#, Visual Basic | [pgvector-dotnet](https://github.com/pgvector/pgvector-dotnet)
 Crystal | [pgvector-crystal](https://github.com/pgvector/pgvector-crystal)
+D | [pgvector-d](https://github.com/pgvector/pgvector-d)
 Dart | [pgvector-dart](https://github.com/pgvector/pgvector-dart)
 Elixir | [pgvector-elixir](https://github.com/pgvector/pgvector-elixir)
+Erlang | [pgvector-erlang](https://github.com/pgvector/pgvector-erlang)
+Fortran | [pgvector-fortran](https://github.com/pgvector/pgvector-fortran)
+Gleam | [pgvector-gleam](https://github.com/pgvector/pgvector-gleam)
 Go | [pgvector-go](https://github.com/pgvector/pgvector-go)
 Haskell | [pgvector-haskell](https://github.com/pgvector/pgvector-haskell)
 Java, Kotlin, Groovy, Scala | [pgvector-java](https://github.com/pgvector/pgvector-java)
 JavaScript, TypeScript | [pgvector-node](https://github.com/pgvector/pgvector-node)
-Julia | [pgvector-julia](https://github.com/pgvector/pgvector-julia)
+Julia | [Pgvector.jl](https://github.com/pgvector/Pgvector.jl)
 Lisp | [pgvector-lisp](https://github.com/pgvector/pgvector-lisp)
 Lua | [pgvector-lua](https://github.com/pgvector/pgvector-lua)
 Nim | [pgvector-nim](https://github.com/pgvector/pgvector-nim)
@@ -731,6 +794,7 @@ Perl | [pgvector-perl](https://github.com/pgvector/pgvector-perl)
 PHP | [pgvector-php](https://github.com/pgvector/pgvector-php)
 Python | [pgvector-python](https://github.com/pgvector/pgvector-python)
 R | [pgvector-r](https://github.com/pgvector/pgvector-r)
+Raku | [pgvector-raku](https://github.com/pgvector/pgvector-raku)
 Ruby | [pgvector-ruby](https://github.com/pgvector/pgvector-ruby), [Neighbor](https://github.com/ankane/neighbor)
 Rust | [pgvector-rust](https://github.com/pgvector/pgvector-rust)
 Swift | [pgvector-swift](https://github.com/pgvector/pgvector-swift)
@@ -752,7 +816,7 @@ You can use [half-precision indexing](#half-precision-indexing) to index up to 4
 
 #### Can I store vectors with different dimensions in the same column?
 
-You can use `vector` as the type (instead of `vector(3)`).
+You can use `vector` as the type (instead of `vector(n)`).
 
 ```sql
 CREATE TABLE embeddings (model_id bigint, item_id bigint, embedding vector, PRIMARY KEY (model_id, item_id));
@@ -852,7 +916,7 @@ ALTER TABLE items ALTER COLUMN embedding SET STORAGE PLAIN;
 
 #### Why are there less results for a query after adding an HNSW index?
 
-Results are limited by the size of the dynamic candidate list (`hnsw.ef_search`). There may be even less results due to dead tuples or filtering conditions in the query. We recommend setting `hnsw.ef_search` to at least twice the `LIMIT` of the query. If you need more than 500 results, use an IVFFlat index instead.
+Results are limited by the size of the dynamic candidate list (`hnsw.ef_search`), which is 40 by default. There may be even less results due to dead tuples or filtering conditions in the query. Enabling [iterative index scans](#iterative-index-scans) can help address this.
 
 Also, note that `NULL` vectors are not indexed (as well as zero vectors for cosine distance).
 
@@ -864,7 +928,7 @@ The index was likely created with too little data for the number of lists. Drop
 DROP INDEX index_name;
 ```
 
-Results can also be limited by the number of probes (`ivfflat.probes`).
+Results can also be limited by the number of probes (`ivfflat.probes`). Enabling [iterative index scans](#iterative-index-scans) can address this.
 
 Also, note that `NULL` vectors are not indexed (as well as zero vectors for cosine distance).
 
@@ -951,30 +1015,6 @@ Function | Description | Added
 avg(halfvec) → halfvec | average | 0.7.0
 sum(halfvec) → halfvec | sum | 0.7.0
 
-### Intvec Type
-
-Each int vector takes `dimensions + 8` bytes of storage. Each element is a single byte signed integer. Int vectors can have up to 16,000 dimensions.
-
-### Intvec Operators
-
-Operator | Description | Added
---- | --- | ---
-<-> | Euclidean distance | 0.8.0
-<#> | negative inner product | 0.8.0
-<=> | cosine distance | 0.8.0
-<+> | taxicab distance | 0.8.0
-
-### Intvec Functions
-
-Function | Description | Added
---- | --- | ---
-cosine_distance(intvec, intvec) → double precision | cosine distance | 0.8.0
-inner_product(intvec, intvec) → double precision | inner product | 0.8.0
-l1_distance(intvec, intvec) → double precision | taxicab distance | 0.8.0
-l2_distance(intvec, intvec) → double precision | Euclidean distance | 0.8.0
-l2_norm(intvec) → double precision | Euclidean norm | 0.8.0
-vector_dims(intvec) → integer | number of dimensions | 0.8.0
-
 ### Bit Type
 
 Each bit vector takes `dimensions / 8 + 8` bytes of storage. See the [Postgres docs](https://www.postgresql.org/docs/current/datatype-bit.html) for more info.
@@ -1055,7 +1095,13 @@ Note: Replace `17` with your Postgres server version
 
 ### Missing SDK
 
-If compilation fails and the output includes `warning: no such sysroot directory` on Mac, reinstall Xcode Command Line Tools.
+If compilation fails and the output includes `warning: no such sysroot directory` on Mac, your Postgres installation points to a path that no longer exists.
+
+```sh
+pg_config --cppflags
+```
+
+Reinstall Postgres to fix this.
 
 ### Portability
 
@@ -1073,6 +1119,14 @@ make OPTFLAGS=""
 
 If compilation fails with `Cannot open include file: 'postgres.h': No such file or directory`, make sure `PGROOT` is correct.
 
+### Mismatched Architecture
+
+If compilation fails with `error C2196: case value '4' already used`, make sure you’re using the `x64 Native Tools Command Prompt`. Then run `nmake /F Makefile.win clean` and re-run the installation instructions.
+
+### Missing Symbol
+
+If linking fails with `unresolved external symbol float_to_shortest_decimal_bufn` with Postgres 17.0-17.2, upgrade to Postgres 17.3+.
+
 ### Permissions
 
 If installation fails with `Access is denied`, re-run the installation instructions as an administrator.
@@ -1092,11 +1146,17 @@ This adds pgvector to the [Postgres image](https://hub.docker.com/_/postgres) (r
 You can also build the image manually:
 
 ```sh
-git clone --branch v0.7.4 https://github.com/pgvector/pgvector.git
+git clone --branch v0.8.0 https://github.com/pgvector/pgvector.git
 cd pgvector
 docker build --pull --build-arg PG_MAJOR=17 -t myuser/pgvector .
 ```
 
+If you increase `maintenance_work_mem`, make sure `--shm-size` is at least that size to avoid an error with parallel HNSW index builds.
+
+```sh
+docker run --shm-size=1g ...
+```
+
 ### Homebrew
 
 With Homebrew Postgres, you can use:
@@ -1142,7 +1202,7 @@ Note: Replace `17` with your Postgres server version
 Install the FreeBSD package with:
 
 ```sh
-pkg install postgresql15-pgvector
+pkg install postgresql16-pgvector
 ```
 
 or the port with:
@@ -1184,36 +1244,6 @@ You can check the version in the current database with:
 SELECT extversion FROM pg_extension WHERE extname = 'vector';
 ```
 
-## Upgrade Notes
-
-### 0.6.0
-
-#### Postgres 12
-
-If upgrading with Postgres 12, remove this line from `sql/vector--0.5.1--0.6.0.sql`:
-
-```sql
-ALTER TYPE vector SET (STORAGE = external);
-```
-
-Then run `make install` and `ALTER EXTENSION vector UPDATE;`.
-
-#### Docker
-
-The Docker image is now published in the `pgvector` org, and there are tags for each supported version of Postgres (rather than a `latest` tag).
-
-```sh
-docker pull pgvector/pgvector:pg16
-# or
-docker pull pgvector/pgvector:0.6.0-pg16
-```
-
-Also, if you’ve increased `maintenance_work_mem`, make sure `--shm-size` is at least that size to avoid an error with parallel HNSW index builds.
-
-```sh
-docker run --shm-size=1g ...
-```
-
 ## Thanks
 
 Thanks to:

sql/vector--0.7.4--0.8.0.sql

@@ -1,188 +1,6 @@
 -- 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 hnsw_intvec_support(internal) RETURNS internal
-	AS 'MODULE_PATHNAME' LANGUAGE C;
-
-CREATE TYPE intvec;
-
-CREATE FUNCTION intvec_in(cstring, oid, integer) RETURNS intvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_out(intvec) RETURNS cstring
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_typmod_in(cstring[]) RETURNS integer
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_recv(internal, oid, integer) RETURNS intvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_send(intvec) RETURNS bytea
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE TYPE intvec (
-	INPUT     = intvec_in,
-	OUTPUT    = intvec_out,
-	TYPMOD_IN = intvec_typmod_in,
-	RECEIVE   = intvec_recv,
-	SEND      = intvec_send,
-	STORAGE   = external
-);
-
-CREATE FUNCTION l2_distance(intvec, intvec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'intvec_l2_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION inner_product(intvec, intvec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'intvec_inner_product' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION cosine_distance(intvec, intvec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'intvec_cosine_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION l1_distance(intvec, intvec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'intvec_l1_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION vector_dims(intvec) RETURNS integer
-	AS 'MODULE_PATHNAME', 'intvec_vector_dims' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION l2_norm(intvec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'intvec_l2_norm' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_lt(intvec, intvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_le(intvec, intvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_eq(intvec, intvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_ne(intvec, intvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_ge(intvec, intvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_gt(intvec, intvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_cmp(intvec, intvec) RETURNS int4
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_l2_squared_distance(intvec, intvec) RETURNS float8
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_negative_inner_product(intvec, intvec) RETURNS float8
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec(intvec, integer, boolean) RETURNS intvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION array_to_intvec(integer[], integer, boolean) RETURNS intvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_to_integer(intvec, integer, boolean) RETURNS integer[]
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE CAST (intvec AS intvec)
-	WITH FUNCTION intvec(intvec, integer, boolean) AS IMPLICIT;
-
-CREATE CAST (intvec AS integer[])
-	WITH FUNCTION intvec_to_integer(intvec, integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (integer[] AS intvec)
-	WITH FUNCTION array_to_intvec(integer[], integer, boolean) AS ASSIGNMENT;
-
-CREATE OPERATOR <-> (
-	LEFTARG = intvec, RIGHTARG = intvec, PROCEDURE = l2_distance,
-	COMMUTATOR = '<->'
-);
-
-CREATE OPERATOR <#> (
-	LEFTARG = intvec, RIGHTARG = intvec, PROCEDURE = intvec_negative_inner_product,
-	COMMUTATOR = '<#>'
-);
-
-CREATE OPERATOR <=> (
-	LEFTARG = intvec, RIGHTARG = intvec, PROCEDURE = cosine_distance,
-	COMMUTATOR = '<=>'
-);
-
-CREATE OPERATOR <+> (
-	LEFTARG = intvec, RIGHTARG = intvec, PROCEDURE = l1_distance,
-	COMMUTATOR = '<+>'
-);
-
-CREATE OPERATOR < (
-	LEFTARG = intvec, RIGHTARG = intvec, PROCEDURE = intvec_lt,
-	COMMUTATOR = > , NEGATOR = >= ,
-	RESTRICT = scalarltsel, JOIN = scalarltjoinsel
-);
-
-CREATE OPERATOR <= (
-	LEFTARG = intvec, RIGHTARG = intvec, PROCEDURE = intvec_le,
-	COMMUTATOR = >= , NEGATOR = > ,
-	RESTRICT = scalarlesel, JOIN = scalarlejoinsel
-);
-
-CREATE OPERATOR = (
-	LEFTARG = intvec, RIGHTARG = intvec, PROCEDURE = intvec_eq,
-	COMMUTATOR = = , NEGATOR = <> ,
-	RESTRICT = eqsel, JOIN = eqjoinsel
-);
-
-CREATE OPERATOR <> (
-	LEFTARG = intvec, RIGHTARG = intvec, PROCEDURE = intvec_ne,
-	COMMUTATOR = <> , NEGATOR = = ,
-	RESTRICT = eqsel, JOIN = eqjoinsel
-);
-
-CREATE OPERATOR >= (
-	LEFTARG = intvec, RIGHTARG = intvec, PROCEDURE = intvec_ge,
-	COMMUTATOR = <= , NEGATOR = < ,
-	RESTRICT = scalargesel, JOIN = scalargejoinsel
-);
-
-CREATE OPERATOR > (
-	LEFTARG = intvec, RIGHTARG = intvec, PROCEDURE = intvec_gt,
-	COMMUTATOR = < , NEGATOR = <= ,
-	RESTRICT = scalargtsel, JOIN = scalargtjoinsel
-);
-
-CREATE OPERATOR CLASS intvec_ops
-	DEFAULT FOR TYPE intvec USING btree AS
-	OPERATOR 1 < ,
-	OPERATOR 2 <= ,
-	OPERATOR 3 = ,
-	OPERATOR 4 >= ,
-	OPERATOR 5 > ,
-	FUNCTION 1 intvec_cmp(intvec, intvec);
-
-CREATE OPERATOR CLASS intvec_l2_ops
-	FOR TYPE intvec USING hnsw AS
-	OPERATOR 1 <-> (intvec, intvec) FOR ORDER BY float_ops,
-	FUNCTION 1 intvec_l2_squared_distance(intvec, intvec),
-	FUNCTION 3 hnsw_intvec_support(internal);
-
-CREATE OPERATOR CLASS intvec_ip_ops
-	FOR TYPE intvec USING hnsw AS
-	OPERATOR 1 <#> (intvec, intvec) FOR ORDER BY float_ops,
-	FUNCTION 1 intvec_negative_inner_product(intvec, intvec),
-	FUNCTION 3 hnsw_intvec_support(internal);
-
-CREATE OPERATOR CLASS intvec_cosine_ops
-	FOR TYPE intvec USING hnsw AS
-	OPERATOR 1 <=> (intvec, intvec) FOR ORDER BY float_ops,
-	FUNCTION 1 cosine_distance(intvec, intvec),
-	FUNCTION 2 l2_norm(intvec),
-	FUNCTION 3 hnsw_intvec_support(internal);
-
-CREATE OPERATOR CLASS intvec_l1_ops
-	FOR TYPE intvec USING hnsw AS
-	OPERATOR 1 <+> (intvec, intvec) FOR ORDER BY float_ops,
-	FUNCTION 1 l1_distance(intvec, intvec),
-	FUNCTION 3 hnsw_intvec_support(internal);
-
 CREATE FUNCTION array_to_sparsevec(integer[], integer, boolean) RETURNS sparsevec
 	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
 

sql/vector.sql

@@ -272,9 +272,6 @@ CREATE FUNCTION ivfflat_bit_support(internal) RETURNS internal
 CREATE FUNCTION hnsw_halfvec_support(internal) RETURNS internal
 	AS 'MODULE_PATHNAME' LANGUAGE C;
 
-CREATE FUNCTION hnsw_intvec_support(internal) RETURNS internal
-	AS 'MODULE_PATHNAME' LANGUAGE C;
-
 CREATE FUNCTION hnsw_bit_support(internal) RETURNS internal
 	AS 'MODULE_PATHNAME' LANGUAGE C;
 
@@ -650,199 +647,6 @@ CREATE OPERATOR CLASS halfvec_l1_ops
 	FUNCTION 1 l1_distance(halfvec, halfvec),
 	FUNCTION 3 hnsw_halfvec_support(internal);
 
--- intvec type
-
-CREATE TYPE intvec;
-
-CREATE FUNCTION intvec_in(cstring, oid, integer) RETURNS intvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_out(intvec) RETURNS cstring
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_typmod_in(cstring[]) RETURNS integer
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_recv(internal, oid, integer) RETURNS intvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_send(intvec) RETURNS bytea
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE TYPE intvec (
-	INPUT     = intvec_in,
-	OUTPUT    = intvec_out,
-	TYPMOD_IN = intvec_typmod_in,
-	RECEIVE   = intvec_recv,
-	SEND      = intvec_send,
-	STORAGE   = external
-);
-
--- intvec functions
-
-CREATE FUNCTION l2_distance(intvec, intvec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'intvec_l2_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION inner_product(intvec, intvec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'intvec_inner_product' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION cosine_distance(intvec, intvec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'intvec_cosine_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION l1_distance(intvec, intvec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'intvec_l1_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION vector_dims(intvec) RETURNS integer
-	AS 'MODULE_PATHNAME', 'intvec_vector_dims' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION l2_norm(intvec) RETURNS float8
-	AS 'MODULE_PATHNAME', 'intvec_l2_norm' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
--- intvec private functions
-
-CREATE FUNCTION intvec_lt(intvec, intvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_le(intvec, intvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_eq(intvec, intvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_ne(intvec, intvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_ge(intvec, intvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_gt(intvec, intvec) RETURNS bool
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_cmp(intvec, intvec) RETURNS int4
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_l2_squared_distance(intvec, intvec) RETURNS float8
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_negative_inner_product(intvec, intvec) RETURNS float8
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
--- intvec cast functions
-
-CREATE FUNCTION intvec(intvec, integer, boolean) RETURNS intvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION array_to_intvec(integer[], integer, boolean) RETURNS intvec
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
-CREATE FUNCTION intvec_to_integer(intvec, integer, boolean) RETURNS integer[]
-	AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-
--- intvec casts
-
-CREATE CAST (intvec AS intvec)
-	WITH FUNCTION intvec(intvec, integer, boolean) AS IMPLICIT;
-
-CREATE CAST (intvec AS integer[])
-	WITH FUNCTION intvec_to_integer(intvec, integer, boolean) AS ASSIGNMENT;
-
-CREATE CAST (integer[] AS intvec)
-	WITH FUNCTION array_to_intvec(integer[], integer, boolean) AS ASSIGNMENT;
-
--- intvec operators
-
-CREATE OPERATOR <-> (
-	LEFTARG = intvec, RIGHTARG = intvec, PROCEDURE = l2_distance,
-	COMMUTATOR = '<->'
-);
-
-CREATE OPERATOR <#> (
-	LEFTARG = intvec, RIGHTARG = intvec, PROCEDURE = intvec_negative_inner_product,
-	COMMUTATOR = '<#>'
-);
-
-CREATE OPERATOR <=> (
-	LEFTARG = intvec, RIGHTARG = intvec, PROCEDURE = cosine_distance,
-	COMMUTATOR = '<=>'
-);
-
-CREATE OPERATOR <+> (
-	LEFTARG = intvec, RIGHTARG = intvec, PROCEDURE = l1_distance,
-	COMMUTATOR = '<+>'
-);
-
-CREATE OPERATOR < (
-	LEFTARG = intvec, RIGHTARG = intvec, PROCEDURE = intvec_lt,
-	COMMUTATOR = > , NEGATOR = >= ,
-	RESTRICT = scalarltsel, JOIN = scalarltjoinsel
-);
-
-CREATE OPERATOR <= (
-	LEFTARG = intvec, RIGHTARG = intvec, PROCEDURE = intvec_le,
-	COMMUTATOR = >= , NEGATOR = > ,
-	RESTRICT = scalarlesel, JOIN = scalarlejoinsel
-);
-
-CREATE OPERATOR = (
-	LEFTARG = intvec, RIGHTARG = intvec, PROCEDURE = intvec_eq,
-	COMMUTATOR = = , NEGATOR = <> ,
-	RESTRICT = eqsel, JOIN = eqjoinsel
-);
-
-CREATE OPERATOR <> (
-	LEFTARG = intvec, RIGHTARG = intvec, PROCEDURE = intvec_ne,
-	COMMUTATOR = <> , NEGATOR = = ,
-	RESTRICT = eqsel, JOIN = eqjoinsel
-);
-
-CREATE OPERATOR >= (
-	LEFTARG = intvec, RIGHTARG = intvec, PROCEDURE = intvec_ge,
-	COMMUTATOR = <= , NEGATOR = < ,
-	RESTRICT = scalargesel, JOIN = scalargejoinsel
-);
-
-CREATE OPERATOR > (
-	LEFTARG = intvec, RIGHTARG = intvec, PROCEDURE = intvec_gt,
-	COMMUTATOR = < , NEGATOR = <= ,
-	RESTRICT = scalargtsel, JOIN = scalargtjoinsel
-);
-
--- intvec opclasses
-
-CREATE OPERATOR CLASS intvec_ops
-	DEFAULT FOR TYPE intvec USING btree AS
-	OPERATOR 1 < ,
-	OPERATOR 2 <= ,
-	OPERATOR 3 = ,
-	OPERATOR 4 >= ,
-	OPERATOR 5 > ,
-	FUNCTION 1 intvec_cmp(intvec, intvec);
-
-CREATE OPERATOR CLASS intvec_l2_ops
-	FOR TYPE intvec USING hnsw AS
-	OPERATOR 1 <-> (intvec, intvec) FOR ORDER BY float_ops,
-	FUNCTION 1 intvec_l2_squared_distance(intvec, intvec),
-	FUNCTION 3 hnsw_intvec_support(internal);
-
-CREATE OPERATOR CLASS intvec_ip_ops
-	FOR TYPE intvec USING hnsw AS
-	OPERATOR 1 <#> (intvec, intvec) FOR ORDER BY float_ops,
-	FUNCTION 1 intvec_negative_inner_product(intvec, intvec),
-	FUNCTION 3 hnsw_intvec_support(internal);
-
-CREATE OPERATOR CLASS intvec_cosine_ops
-	FOR TYPE intvec USING hnsw AS
-	OPERATOR 1 <=> (intvec, intvec) FOR ORDER BY float_ops,
-	FUNCTION 1 cosine_distance(intvec, intvec),
-	FUNCTION 2 l2_norm(intvec),
-	FUNCTION 3 hnsw_intvec_support(internal);
-
-CREATE OPERATOR CLASS intvec_l1_ops
-	FOR TYPE intvec USING hnsw AS
-	OPERATOR 1 <+> (intvec, intvec) FOR ORDER BY float_ops,
-	FUNCTION 1 l1_distance(intvec, intvec),
-	FUNCTION 3 hnsw_intvec_support(internal);
-
 -- bit functions
 
 CREATE FUNCTION hamming_distance(bit, bit) RETURNS float8

src/hnsw.c

@@ -18,16 +18,17 @@
 #define MarkGUCPrefixReserved(x) EmitWarningsOnPlaceholders(x)
 #endif
 
-static const struct config_enum_entry hnsw_iterative_search_options[] = {
+static const struct config_enum_entry hnsw_iterative_scan_options[] = {
-	{"off", HNSW_ITERATIVE_SEARCH_OFF, false},
+	{"off", HNSW_ITERATIVE_SCAN_OFF, false},
-	{"relaxed_order", HNSW_ITERATIVE_SEARCH_RELAXED, false},
+	{"relaxed_order", HNSW_ITERATIVE_SCAN_RELAXED, false},
-	{"strict_order", HNSW_ITERATIVE_SEARCH_STRICT, false},
+	{"strict_order", HNSW_ITERATIVE_SCAN_STRICT, false},
 	{NULL, 0, false}
 };
 
 int			hnsw_ef_search;
-int			hnsw_max_search_tuples;
+int			hnsw_iterative_scan;
-int			hnsw_iterative_search;
+int			hnsw_max_scan_tuples;
+double		hnsw_scan_mem_multiplier;
 int			hnsw_lock_tranche_id;
 static relopt_kind hnsw_relopt_kind;
 
@@ -78,14 +79,19 @@ HnswInit(void)
 							"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_search", "Sets the iterative search mode",
+	DefineCustomEnumVariable("hnsw.iterative_scan", "Sets the mode for iterative scans",
-							 NULL, &hnsw_iterative_search,
+							 NULL, &hnsw_iterative_scan,
-							 HNSW_ITERATIVE_SEARCH_OFF, hnsw_iterative_search_options, PGC_USERSET, 0, NULL, NULL, NULL);
+							 HNSW_ITERATIVE_SCAN_OFF, hnsw_iterative_scan_options, PGC_USERSET, 0, NULL, NULL, NULL);
 
-	/* This is approximate and does not apply to the initial scan */
+	/* This is approximate and does not affect the initial scan */
-	DefineCustomIntVariable("hnsw.max_search_tuples", "Sets the max number of candidates to visit for iterative search",
+	DefineCustomIntVariable("hnsw.max_scan_tuples", "Sets the max number of tuples to visit for iterative scans",
-							"-1 means no limit", &hnsw_max_search_tuples,
+							NULL, &hnsw_max_scan_tuples,
-							-1, -1, INT_MAX, PGC_USERSET, 0, NULL, NULL, NULL);
+							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");
 }
@@ -131,6 +137,10 @@ hnswcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
 		*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;
 	}
 
@@ -249,6 +259,11 @@ hnswhandler(PG_FUNCTION_ARGS)
 	amroutine->amoptsprocnum = 0;
 	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;
@@ -281,6 +296,9 @@ hnswhandler(PG_FUNCTION_ARGS)
 	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 */
 	amroutine->ambuildphasename = hnswbuildphasename;
@@ -301,5 +319,10 @@ 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);
 }

src/hnsw.h

@@ -109,23 +109,24 @@
 
 /* Variables */
 extern int	hnsw_ef_search;
-extern int	hnsw_iterative_search;
+extern int	hnsw_iterative_scan;
-extern int	hnsw_max_search_tuples;
+extern int	hnsw_max_scan_tuples;
+extern double hnsw_scan_mem_multiplier;
 extern int	hnsw_lock_tranche_id;
 
-typedef enum HnswIterativeSearchMode
+typedef enum HnswIterativeScanMode
 {
-	HNSW_ITERATIVE_SEARCH_OFF,
+	HNSW_ITERATIVE_SCAN_OFF,
-	HNSW_ITERATIVE_SEARCH_RELAXED,
+	HNSW_ITERATIVE_SCAN_RELAXED,
-	HNSW_ITERATIVE_SEARCH_STRICT
+	HNSW_ITERATIVE_SCAN_STRICT
-}			HnswIterativeSearchMode;
+}			HnswIterativeScanMode;
 
 typedef struct HnswElementData HnswElementData;
 typedef struct HnswNeighborArray HnswNeighborArray;
 
 #define HnswPtrDeclare(type, relptrtype, ptrtype) \
 	relptr_declare(type, relptrtype); \
-	typedef union { type *ptr; relptrtype relptr; } ptrtype;
+	typedef union { type *ptr; relptrtype relptr; } ptrtype
 
 /* Pointers that can be absolute or relative */
 /* Use char for DatumPtr so works with Pointer */
@@ -361,6 +362,13 @@ typedef union
 	ItemPointerData indextid;
 }			HnswUnvisited;
 
+typedef struct HnswReadStreamData
+{
+	HnswUnvisited *unvisited;
+	int			unvisitedLength;
+	int			visited;
+}			HnswReadStreamData;
+
 typedef struct HnswScanOpaqueData
 {
 	const		HnswTypeInfo *typeInfo;
@@ -372,6 +380,7 @@ typedef struct HnswScanOpaqueData
 	int			m;
 	int64		tuples;
 	double		previousDistance;
+	Size		maxMemory;
 	MemoryContext tmpCtx;
 
 	/* Support functions */
@@ -415,13 +424,13 @@ bool		HnswCheckNorm(HnswSupport * support, Datum value);
 Buffer		HnswNewBuffer(Relation index, ForkNumber forkNum);
 void		HnswInitPage(Buffer buf, Page page);
 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(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, bool maintenance);
 HnswElement HnswGetEntryPoint(Relation index);
 void		HnswGetMetaPageInfo(Relation index, int *m, HnswElement * entryPoint);
 void	   *HnswAlloc(HnswAllocator * allocator, Size size);
 HnswElement HnswInitElement(char *base, ItemPointer tid, int m, double ml, int maxLevel, HnswAllocator * alloc);
 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		HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint, Relation index, HnswSupport * support, int m, int efConstruction, bool existing, bool maintenance);
 HnswSearchCandidate *HnswEntryCandidate(char *base, HnswElement em, HnswQuery * q, Relation rel, HnswSupport * support, bool loadVec);
 void		HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum, bool building);
 void		HnswSetNeighborTuple(char *base, HnswNeighborTuple ntup, HnswElement e, int m);

src/hnswbuild.c

@@ -457,7 +457,7 @@ InsertTupleInMemory(HnswBuildState * buildstate, HnswElement element)
 	}
 
 	/* Find neighbors for element */
-	HnswFindElementNeighbors(base, element, entryPoint, NULL, support, m, efConstruction, false);
+	HnswFindElementNeighbors(base, element, entryPoint, NULL, support, m, efConstruction, false, true);
 
 	/* Update graph in memory */
 	UpdateGraphInMemory(support, element, m, efConstruction, entryPoint, buildstate);

src/hnswinsert.c

@@ -725,7 +725,7 @@ HnswInsertTupleOnDisk(Relation index, HnswSupport * support, Datum value, ItemPo
 	}
 
 	/* Find neighbors for element */
-	HnswFindElementNeighbors(base, element, entryPoint, index, support, m, efConstruction, false);
+	HnswFindElementNeighbors(base, element, entryPoint, index, support, m, efConstruction, false, building);
 
 	/* Update graph on disk */
 	UpdateGraphOnDisk(index, support, element, m, efConstruction, entryPoint, building);

src/hnswscan.c

@@ -37,11 +37,11 @@ GetScanItems(IndexScanDesc scan, Datum value)
 
 	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(base, q, ep, 1, lc, index, support, m, false, NULL, NULL, NULL, true, NULL, false);
 		ep = w;
 	}
 
-	return HnswSearchLayer(base, q, ep, hnsw_ef_search, 0, index, support, m, false, NULL, &so->v, hnsw_iterative_search != HNSW_ITERATIVE_SEARCH_OFF ? &so->discarded : NULL, true, &so->tuples);
+	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, false);
 }
 
 /*
@@ -72,7 +72,7 @@ ResumeScanItems(IndexScanDesc scan)
 		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);
+	return HnswSearchLayer(base, &so->q, ep, batch_size, 0, index, &so->support, so->m, false, NULL, &so->v, &so->discarded, false, &so->tuples, false);
 }
 
 /*
@@ -121,14 +121,15 @@ 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;
+
-	so->v.tids = NULL;
+	/* Set support functions */
-	so->discarded = NULL;
+	HnswInitSupport(&so->support, index);
 
 	/*
 	 * Use a lower max allocation size than default to allow scanning more
@@ -136,10 +137,12 @@ hnswbeginscan(Relation index, int nkeys, int norderbys)
 	 */
 	so->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
 									   "Hnsw scan temporary context",
-									   0, 8 * 1024, 512 * 1024);
+									   0, 8 * 1024, 256 * 1024);
 
-	/* Set support functions */
+	/* Calculate max memory */
-	HnswInitSupport(&so->support, index);
+	/* Add 256 extra bytes to fill last block when close */
+	maxMemory = (double) work_mem * hnsw_scan_mem_multiplier * 1024.0 + 256;
+	so->maxMemory = Min(maxMemory, (double) SIZE_MAX);
 
 	scan->opaque = so;
 
@@ -154,13 +157,10 @@ hnswrescan(IndexScanDesc scan, ScanKey keys, int nkeys, ScanKey orderbys, int no
 {
 	HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
 
-	if (so->v.tids != NULL)
-		tidhash_reset(so->v.tids);
-
-	if (so->discarded != NULL)
-		pairingheap_reset(so->discarded);
-
 	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);
@@ -233,15 +233,15 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
 
 		if (list_length(so->w) == 0)
 		{
-			if (hnsw_iterative_search == HNSW_ITERATIVE_SEARCH_OFF)
+			if (hnsw_iterative_scan == HNSW_ITERATIVE_SCAN_OFF)
 				break;
 
 			/* Empty index */
 			if (so->discarded == NULL)
 				break;
 
-			/* Reached max number of tuples */
+			/* Reached max number of tuples or memory limit */
-			if (hnsw_max_search_tuples != -1 && so->tuples >= hnsw_max_search_tuples)
+			if (so->tuples >= hnsw_max_scan_tuples || MemoryContextMemAllocated(so->tmpCtx, false) > so->maxMemory)
 			{
 				if (pairingheap_is_empty(so->discarded))
 					break;
@@ -249,21 +249,6 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
 				/* Return remaining tuples */
 				so->w = lappend(so->w, HnswGetSearchCandidate(w_node, pairingheap_remove_first(so->discarded)));
 			}
-			/* Prevent scans from consuming too much memory */
-			else if (MemoryContextMemAllocated(so->tmpCtx, false) > (Size) work_mem * 1024L)
-			{
-				if (pairingheap_is_empty(so->discarded))
-				{
-					ereport(DEBUG1,
-							(errmsg("hnsw index scan exceeded work_mem after " INT64_FORMAT " tuples", so->tuples),
-							 errhint("Increase work_mem to scan more tuples.")));
-
-					break;
-				}
-
-				/* Return remaining tuples */
-				so->w = lappend(so->w, HnswGetSearchCandidate(w_node, pairingheap_remove_first(so->discarded)));
-			}
 			else
 			{
 				/*
@@ -299,7 +284,7 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
 			so->w = list_delete_last(so->w);
 
 			/* Mark memory as free for next iteration */
-			if (hnsw_iterative_search != HNSW_ITERATIVE_SEARCH_OFF)
+			if (hnsw_iterative_scan != HNSW_ITERATIVE_SCAN_OFF)
 			{
 				pfree(element);
 				pfree(sc);
@@ -310,7 +295,7 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
 
 		heaptid = &element->heaptids[--element->heaptidsLength];
 
-		if (hnsw_iterative_search == HNSW_ITERATIVE_SEARCH_STRICT)
+		if (hnsw_iterative_scan == HNSW_ITERATIVE_SCAN_STRICT)
 		{
 			if (sc->distance < so->previousDistance)
 				continue;

src/hnswutils.c

@@ -1,6 +1,5 @@
 #include "postgres.h"
 
-#include <float.h>
 #include <math.h>
 
 #include "access/generic_xlog.h"
@@ -16,6 +15,10 @@
 #include "utils/memdebug.h"
 #include "utils/rel.h"
 
+#if PG_VERSION_NUM >= 170000
+#include "storage/read_stream.h"
+#endif
+
 #if PG_VERSION_NUM < 170000
 static inline uint64
 murmurhash64(uint64 data)
@@ -158,9 +161,6 @@ HnswInitSupport(HnswSupport * support, Relation index)
 Datum
 HnswNormValue(const HnswTypeInfo * typeInfo, Oid collation, Datum value)
 {
-	if (!typeInfo->normalize)
-		return value;
-
 	return DirectFunctionCall1Coll(typeInfo->normalize, collation, value);
 }
 
@@ -529,14 +529,12 @@ HnswGetDistance(Datum a, Datum b, HnswSupport * support)
  * Load an element and optionally get its distance from q
  */
 static void
-HnswLoadElementImpl(BlockNumber blkno, OffsetNumber offno, double *distance, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance, HnswElement * element)
+HnswLoadElementImpl(Buffer buf, OffsetNumber offno, double *distance, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance, HnswElement * element)
 {
-	Buffer		buf;
 	Page		page;
 	HnswElementTuple etup;
 
 	/* Read vector */
-	buf = ReadBuffer(index, blkno);
 	LockBuffer(buf, BUFFER_LOCK_SHARE);
 	page = BufferGetPage(buf);
 
@@ -550,21 +548,14 @@ HnswLoadElementImpl(BlockNumber blkno, OffsetNumber offno, double *distance, Hns
 		if (DatumGetPointer(q->value) == NULL)
 			*distance = 0;
 		else
-		{
 			*distance = HnswGetDistance(q->value, PointerGetDatum(&etup->data), support);
-
-			/* Needed for intvec cosine distance */
-			/* TODO Improve */
-			if (isnan(*distance))
-				*distance = DBL_MAX;
-		}
 	}
 
 	/* Load element */
 	if (distance == NULL || maxDistance == NULL || *distance < *maxDistance)
 	{
 		if (*element == NULL)
-			*element = HnswInitElementFromBlock(blkno, offno);
+			*element = HnswInitElementFromBlock(BufferGetBlockNumber(buf), offno);
 
 		HnswLoadElementFromTuple(*element, etup, true, loadVec);
 	}
@@ -578,7 +569,9 @@ HnswLoadElementImpl(BlockNumber blkno, OffsetNumber offno, double *distance, Hns
 void
 HnswLoadElement(HnswElement element, double *distance, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance)
 {
-	HnswLoadElementImpl(element->blkno, element->offno, distance, q, index, support, loadVec, maxDistance, &element);
+	Buffer		buf = ReadBuffer(index, element->blkno);
+
+	HnswLoadElementImpl(buf, element->offno, distance, q, index, support, loadVec, maxDistance, &element);
 }
 
 /*
@@ -818,11 +811,31 @@ HnswLoadUnvisitedFromDisk(HnswElement element, HnswUnvisited * unvisited, int *u
 	}
 }
 
+#if PG_VERSION_NUM >= 170000
+/*
+ * Get next block number for read stream
+ */
+static BlockNumber
+HnswReadStreamNextBlock(ReadStream *stream, void *callback_private_data, void *per_buffer_data)
+{
+	HnswReadStreamData *streamData = callback_private_data;
+	OffsetNumber *offno = per_buffer_data;
+	HnswUnvisited *uv;
+
+	if (streamData->visited == streamData->unvisitedLength)
+		return InvalidBlockNumber;
+
+	uv = &streamData->unvisited[streamData->visited++];
+	*offno = ItemPointerGetOffsetNumber(&uv->indextid);
+	return ItemPointerGetBlockNumber(&uv->indextid);
+}
+#endif
+
 /*
  * Algorithm 2 from paper
  */
 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)
+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, bool maintenance)
 {
 	List	   *w = NIL;
 	pairingheap *C = pairingheap_allocate(CompareNearestCandidates, NULL);
@@ -837,6 +850,18 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
 	int			unvisitedLength;
 	bool		inMemory = index == NULL;
 
+#if PG_VERSION_NUM >= 170000
+	HnswReadStreamData streamData;
+	ReadStream *stream = NULL;
+
+	if (!inMemory)
+	{
+		int			flags = maintenance ? READ_STREAM_MAINTENANCE : READ_STREAM_DEFAULT;
+
+		stream = read_stream_begin_relation(flags, NULL, index, MAIN_FORKNUM, HnswReadStreamNextBlock, &streamData, sizeof(OffsetNumber));
+	}
+#endif
+
 	if (v == NULL)
 	{
 		v = &vh;
@@ -868,6 +893,7 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
 		{
 			AddToVisited(base, v, sc->element, inMemory, &found);
 
+			/* OK to count elements instead of tuples */
 			if (tuples != NULL)
 				(*tuples)++;
 		}
@@ -898,8 +924,19 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
 		if (inMemory)
 			HnswLoadUnvisitedFromMemory(base, cElement, unvisited, &unvisitedLength, v, lc, localNeighborhood, neighborhoodSize);
 		else
+		{
 			HnswLoadUnvisitedFromDisk(cElement, unvisited, &unvisitedLength, v, index, m, lm, lc);
 
+#if PG_VERSION_NUM >= 170000
+			read_stream_reset(stream);
+
+			streamData.unvisited = unvisited;
+			streamData.unvisitedLength = unvisitedLength;
+			streamData.visited = 0;
+#endif
+		}
+
+		/* OK to count elements instead of tuples */
 		if (tuples != NULL)
 			(*tuples) += unvisitedLength;
 
@@ -919,13 +956,24 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
 			}
 			else
 			{
+				Buffer		buf;
+				OffsetNumber offno;
+
+#if PG_VERSION_NUM >= 170000
+				void	   *offnoPtr;
+
+				buf = read_stream_next_buffer(stream, &offnoPtr);
+				offno = *((OffsetNumber *) offnoPtr);
+#else
 				ItemPointer indextid = &unvisited[i].indextid;
-				BlockNumber blkno = ItemPointerGetBlockNumber(indextid);
+
-				OffsetNumber offno = ItemPointerGetOffsetNumber(indextid);
+				buf = ReadBuffer(index, ItemPointerGetBlockNumber(indextid));
+				offno = ItemPointerGetOffsetNumber(indextid);
+#endif
 
 				/* Avoid any allocations if not adding */
 				eElement = NULL;
-				HnswLoadElementImpl(blkno, offno, &eDistance, q, index, support, inserting, alwaysAdd || discarded != NULL ? NULL : &f->distance, &eElement);
+				HnswLoadElementImpl(buf, offno, &eDistance, q, index, support, inserting, alwaysAdd || discarded != NULL ? NULL : &f->distance, &eElement);
 
 				if (eElement == NULL)
 					continue;
@@ -981,6 +1029,11 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
 		w = lappend(w, sc);
 	}
 
+#if PG_VERSION_NUM >= 170000
+	if (!inMemory)
+		read_stream_end(stream);
+#endif
+
 	return w;
 }
 
@@ -1276,7 +1329,7 @@ PrecomputeHash(char *base, HnswElement element)
  * Algorithm 1 from paper
  */
 void
-HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint, Relation index, HnswSupport * support, int m, int efConstruction, bool existing)
+HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint, Relation index, HnswSupport * support, int m, int efConstruction, bool existing, bool maintenance)
 {
 	List	   *ep;
 	List	   *w;
@@ -1303,7 +1356,7 @@ HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint
 	/* 1st phase: greedy search to insert level */
 	for (int lc = entryLevel; lc >= level + 1; lc--)
 	{
-		w = HnswSearchLayer(base, &q, ep, 1, lc, index, support, m, true, skipElement, NULL, NULL, true, NULL);
+		w = HnswSearchLayer(base, &q, ep, 1, lc, index, support, m, true, skipElement, NULL, NULL, true, NULL, maintenance);
 		ep = w;
 	}
 
@@ -1322,7 +1375,7 @@ HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint
 		List	   *lw = NIL;
 		ListCell   *lc2;
 
-		w = HnswSearchLayer(base, &q, ep, efConstruction, lc, index, support, m, true, skipElement, NULL, NULL, true, NULL);
+		w = HnswSearchLayer(base, &q, ep, efConstruction, lc, index, support, m, true, skipElement, NULL, NULL, true, NULL, maintenance);
 
 		/* Convert search candidates to candidates */
 		foreach(lc2, w)
@@ -1402,20 +1455,7 @@ hnsw_halfvec_support(PG_FUNCTION_ARGS)
 	};
 
 	PG_RETURN_POINTER(&typeInfo);
-};
+}
-
-FUNCTION_PREFIX PG_FUNCTION_INFO_V1(hnsw_intvec_support);
-Datum
-hnsw_intvec_support(PG_FUNCTION_ARGS)
-{
-	static const HnswTypeInfo typeInfo = {
-		.maxDimensions = HNSW_MAX_DIM * 4,
-		.normalize = NULL,
-		.checkValue = NULL
-	};
-
-	PG_RETURN_POINTER(&typeInfo);
-};
 
 FUNCTION_PREFIX PG_FUNCTION_INFO_V1(hnsw_bit_support);
 Datum
@@ -1428,7 +1468,7 @@ hnsw_bit_support(PG_FUNCTION_ARGS)
 	};
 
 	PG_RETURN_POINTER(&typeInfo);
-};
+}
 
 FUNCTION_PREFIX PG_FUNCTION_INFO_V1(hnsw_sparsevec_support);
 Datum
@@ -1441,4 +1481,4 @@ hnsw_sparsevec_support(PG_FUNCTION_ARGS)
 	};
 
 	PG_RETURN_POINTER(&typeInfo);
-};
+}

src/hnswvacuum.c

@@ -9,6 +9,10 @@
 #include "storage/lmgr.h"
 #include "utils/memutils.h"
 
+#if PG_VERSION_NUM >= 180000
+#define vacuum_delay_point() vacuum_delay_point(false)
+#endif
+
 /*
  * Check if deleted list contains an index TID
  */
@@ -204,7 +208,7 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswEleme
 	element->heaptidsLength = 0;
 
 	/* Find neighbors for element, skipping itself */
-	HnswFindElementNeighbors(base, element, entryPoint, index, support, m, efConstruction, true);
+	HnswFindElementNeighbors(base, element, entryPoint, index, support, m, efConstruction, true, true);
 
 	/* Zero memory for each element */
 	MemSet(ntup, 0, HNSW_TUPLE_ALLOC_SIZE);

src/intvec.c

@@ -1,754 +0,0 @@
-#include "postgres.h"
-
-#include <limits.h>
-#include <math.h>
-
-#include "catalog/pg_type.h"
-#include "fmgr.h"
-#include "intvec.h"
-#include "lib/stringinfo.h"
-#include "libpq/pqformat.h"
-#include "utils/array.h"
-#include "utils/builtins.h"
-#include "utils/lsyscache.h"
-
-/*
- * Ensure same dimensions
- */
-static inline void
-CheckDims(IntVector * a, IntVector * b)
-{
-	if (a->dim != b->dim)
-		ereport(ERROR,
-				(errcode(ERRCODE_DATA_EXCEPTION),
-				 errmsg("different intvec dimensions %d and %d", a->dim, b->dim)));
-}
-
-/*
- * Ensure expected dimensions
- */
-static inline void
-CheckExpectedDim(int32 typmod, int dim)
-{
-	if (typmod != -1 && typmod != dim)
-		ereport(ERROR,
-				(errcode(ERRCODE_DATA_EXCEPTION),
-				 errmsg("expected %d dimensions, not %d", typmod, dim)));
-}
-
-/*
- * Ensure valid dimensions
- */
-static inline void
-CheckDim(int dim)
-{
-	if (dim < 1)
-		ereport(ERROR,
-				(errcode(ERRCODE_DATA_EXCEPTION),
-				 errmsg("intvec must have at least 1 dimension")));
-
-	if (dim > INTVEC_MAX_DIM)
-		ereport(ERROR,
-				(errcode(ERRCODE_PROGRAM_LIMIT_EXCEEDED),
-				 errmsg("intvec cannot have more than %d dimensions", INTVEC_MAX_DIM)));
-}
-
-/*
- * Ensure element in range
- */
-static inline void
-CheckElement(long value)
-{
-	if (value < SCHAR_MIN || value > SCHAR_MAX)
-		ereport(ERROR,
-				(errcode(ERRCODE_NUMERIC_VALUE_OUT_OF_RANGE),
-				 errmsg("value \"%ld\" is out of range for type intvec", value)));
-}
-
-/*
- * Allocate and initialize a new int vector
- */
-IntVector *
-InitIntVector(int dim)
-{
-	IntVector  *result;
-	int			size;
-
-	size = INTVEC_SIZE(dim);
-	result = (IntVector *) palloc0(size);
-	SET_VARSIZE(result, size);
-	result->dim = dim;
-
-	return result;
-}
-
-/*
- * Check for whitespace, since array_isspace() is static
- */
-static inline bool
-intvec_isspace(char ch)
-{
-	if (ch == ' ' ||
-		ch == '\t' ||
-		ch == '\n' ||
-		ch == '\r' ||
-		ch == '\v' ||
-		ch == '\f')
-		return true;
-	return false;
-}
-
-/*
- * Convert textual representation to internal representation
- */
-PGDLLEXPORT PG_FUNCTION_INFO_V1(intvec_in);
-Datum
-intvec_in(PG_FUNCTION_ARGS)
-{
-	char	   *lit = PG_GETARG_CSTRING(0);
-	int32		typmod = PG_GETARG_INT32(2);
-	int8		x[INTVEC_MAX_DIM];
-	int			dim = 0;
-	char	   *pt = lit;
-	IntVector  *result;
-
-	while (intvec_isspace(*pt))
-		pt++;
-
-	if (*pt != '[')
-		ereport(ERROR,
-				(errcode(ERRCODE_INVALID_TEXT_REPRESENTATION),
-				 errmsg("invalid input syntax for type intvec: \"%s\"", lit),
-				 errdetail("Vector contents must start with \"[\".")));
-
-	pt++;
-
-	while (intvec_isspace(*pt))
-		pt++;
-
-	if (*pt == ']')
-		ereport(ERROR,
-				(errcode(ERRCODE_DATA_EXCEPTION),
-				 errmsg("intvec must have at least 1 dimension")));
-
-	for (;;)
-	{
-		long		val;
-		char	   *stringEnd;
-
-		if (dim == INTVEC_MAX_DIM)
-			ereport(ERROR,
-					(errcode(ERRCODE_PROGRAM_LIMIT_EXCEEDED),
-					 errmsg("intvec cannot have more than %d dimensions", VECTOR_MAX_DIM)));
-
-		while (intvec_isspace(*pt))
-			pt++;
-
-		/* Check for empty string like float4in */
-		if (*pt == '\0')
-			ereport(ERROR,
-					(errcode(ERRCODE_INVALID_TEXT_REPRESENTATION),
-					 errmsg("invalid input syntax for type intvec: \"%s\"", lit)));
-
-		errno = 0;
-
-		/* Use similar logic as int2vectorin */
-		val = strtol(pt, &stringEnd, 10);
-
-		if (stringEnd == pt)
-			ereport(ERROR,
-					(errcode(ERRCODE_INVALID_TEXT_REPRESENTATION),
-					 errmsg("invalid input syntax for type intvec: \"%s\"", lit)));
-
-		/* Check for range error like float4in */
-		if (errno == ERANGE || val < SCHAR_MIN || val > SCHAR_MAX)
-			ereport(ERROR,
-					(errcode(ERRCODE_NUMERIC_VALUE_OUT_OF_RANGE),
-					 errmsg("\"%s\" is out of range for type intvec", pnstrdup(pt, stringEnd - pt))));
-
-		CheckElement(val);
-		x[dim++] = val;
-
-		pt = stringEnd;
-
-		while (intvec_isspace(*pt))
-			pt++;
-
-		if (*pt == ',')
-			pt++;
-		else if (*pt == ']')
-		{
-			pt++;
-			break;
-		}
-		else
-			ereport(ERROR,
-					(errcode(ERRCODE_INVALID_TEXT_REPRESENTATION),
-					 errmsg("invalid input syntax for type intvec: \"%s\"", lit)));
-	}
-
-	/* Only whitespace is allowed after the closing brace */
-	while (intvec_isspace(*pt))
-		pt++;
-
-	if (*pt != '\0')
-		ereport(ERROR,
-				(errcode(ERRCODE_INVALID_TEXT_REPRESENTATION),
-				 errmsg("invalid input syntax for type intvec: \"%s\"", lit),
-				 errdetail("Junk after closing right brace.")));
-
-	CheckDim(dim);
-	CheckExpectedDim(typmod, dim);
-
-	result = InitIntVector(dim);
-	for (int i = 0; i < dim; i++)
-		result->x[i] = x[i];
-
-	PG_RETURN_POINTER(result);
-}
-
-/*
- * Convert internal representation to textual representation
- */
-PGDLLEXPORT PG_FUNCTION_INFO_V1(intvec_out);
-Datum
-intvec_out(PG_FUNCTION_ARGS)
-{
-	IntVector  *vector = PG_GETARG_INTVEC_P(0);
-	int			dim = vector->dim;
-	char	   *buf;
-	char	   *ptr;
-
-	/*
-	 * Need:
-	 *
-	 * dim * 4 bytes for elements (-128 to 127)
-	 *
-	 * dim - 1 bytes for separator
-	 *
-	 * 3 bytes for [, ], and \0
-	 */
-	buf = (char *) palloc(5 * dim + 2);
-	ptr = buf;
-
-	*ptr = '[';
-	ptr++;
-	for (int i = 0; i < dim; i++)
-	{
-		if (i > 0)
-		{
-			*ptr = ',';
-			ptr++;
-		}
-
-#if PG_VERSION_NUM >= 140000
-		ptr += pg_ltoa(vector->x[i], ptr);
-#else
-		pg_ltoa(vector->x[i], ptr);
-		while (*ptr != '\0')
-			ptr++;
-#endif
-	}
-	*ptr = ']';
-	ptr++;
-	*ptr = '\0';
-
-	PG_FREE_IF_COPY(vector, 0);
-	PG_RETURN_CSTRING(buf);
-}
-
-/*
- * Convert type modifier
- */
-PGDLLEXPORT PG_FUNCTION_INFO_V1(intvec_typmod_in);
-Datum
-intvec_typmod_in(PG_FUNCTION_ARGS)
-{
-	ArrayType  *ta = PG_GETARG_ARRAYTYPE_P(0);
-	int32	   *tl;
-	int			n;
-
-	tl = ArrayGetIntegerTypmods(ta, &n);
-
-	if (n != 1)
-		ereport(ERROR,
-				(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
-				 errmsg("invalid type modifier")));
-
-	if (*tl < 1)
-		ereport(ERROR,
-				(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
-				 errmsg("dimensions for type intvec must be at least 1")));
-
-	if (*tl > INTVEC_MAX_DIM)
-		ereport(ERROR,
-				(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
-				 errmsg("dimensions for type intvec cannot exceed %d", INTVEC_MAX_DIM)));
-
-	PG_RETURN_INT32(*tl);
-}
-
-/*
- * Convert external binary representation to internal representation
- */
-PGDLLEXPORT PG_FUNCTION_INFO_V1(intvec_recv);
-Datum
-intvec_recv(PG_FUNCTION_ARGS)
-{
-	StringInfo	buf = (StringInfo) PG_GETARG_POINTER(0);
-	int32		typmod = PG_GETARG_INT32(2);
-	IntVector  *result;
-	int16		dim;
-	int16		unused;
-
-	dim = pq_getmsgint(buf, sizeof(int16));
-	unused = pq_getmsgint(buf, sizeof(int16));
-
-	CheckDim(dim);
-	CheckExpectedDim(typmod, dim);
-
-	if (unused != 0)
-		ereport(ERROR,
-				(errcode(ERRCODE_DATA_EXCEPTION),
-				 errmsg("expected unused to be 0, not %d", unused)));
-
-	result = InitIntVector(dim);
-	for (int i = 0; i < dim; i++)
-		result->x[i] = pq_getmsgint(buf, sizeof(int8));
-
-	PG_RETURN_POINTER(result);
-}
-
-/*
- * Convert internal representation to the external binary representation
- */
-PGDLLEXPORT PG_FUNCTION_INFO_V1(intvec_send);
-Datum
-intvec_send(PG_FUNCTION_ARGS)
-{
-	IntVector  *vec = PG_GETARG_INTVEC_P(0);
-	StringInfoData buf;
-
-	pq_begintypsend(&buf);
-	pq_sendint(&buf, vec->dim, sizeof(int16));
-	pq_sendint(&buf, vec->unused, sizeof(int16));
-	for (int i = 0; i < vec->dim; i++)
-		pq_sendint8(&buf, vec->x[i]);
-
-	PG_RETURN_BYTEA_P(pq_endtypsend(&buf));
-}
-
-/*
- * Convert int vector to int vector
- * This is needed to check the type modifier
- */
-PGDLLEXPORT PG_FUNCTION_INFO_V1(intvec);
-Datum
-intvec(PG_FUNCTION_ARGS)
-{
-	IntVector  *vec = PG_GETARG_INTVEC_P(0);
-	int32		typmod = PG_GETARG_INT32(1);
-
-	CheckExpectedDim(typmod, vec->dim);
-
-	PG_RETURN_POINTER(vec);
-}
-
-/*
- * Convert array to intvec vector
- */
-PGDLLEXPORT PG_FUNCTION_INFO_V1(array_to_intvec);
-Datum
-array_to_intvec(PG_FUNCTION_ARGS)
-{
-	ArrayType  *array = PG_GETARG_ARRAYTYPE_P(0);
-	int32		typmod = PG_GETARG_INT32(1);
-	IntVector  *result;
-	int16		typlen;
-	bool		typbyval;
-	char		typalign;
-	Datum	   *elemsp;
-	int			nelemsp;
-
-	if (ARR_NDIM(array) > 1)
-		ereport(ERROR,
-				(errcode(ERRCODE_DATA_EXCEPTION),
-				 errmsg("array must be 1-D")));
-
-	if (ARR_HASNULL(array) && array_contains_nulls(array))
-		ereport(ERROR,
-				(errcode(ERRCODE_NULL_VALUE_NOT_ALLOWED),
-				 errmsg("array must not contain nulls")));
-
-	get_typlenbyvalalign(ARR_ELEMTYPE(array), &typlen, &typbyval, &typalign);
-	deconstruct_array(array, ARR_ELEMTYPE(array), typlen, typbyval, typalign, &elemsp, NULL, &nelemsp);
-
-	CheckDim(nelemsp);
-	CheckExpectedDim(typmod, nelemsp);
-
-	result = InitIntVector(nelemsp);
-
-	if (ARR_ELEMTYPE(array) == INT4OID)
-	{
-		for (int i = 0; i < nelemsp; i++)
-		{
-			long		l = DatumGetInt32(elemsp[i]);
-
-			CheckElement(l);
-
-			result->x[i] = l;
-		}
-	}
-	else
-	{
-		ereport(ERROR,
-				(errcode(ERRCODE_DATA_EXCEPTION),
-				 errmsg("unsupported array type")));
-	}
-
-	/*
-	 * Free allocation from deconstruct_array. Do not free individual elements
-	 * when pass-by-reference since they point to original array.
-	 */
-	pfree(elemsp);
-
-	PG_RETURN_POINTER(result);
-}
-
-/*
- * Convert int vector to integer[]
- */
-FUNCTION_PREFIX PG_FUNCTION_INFO_V1(intvec_to_integer);
-Datum
-intvec_to_integer(PG_FUNCTION_ARGS)
-{
-	IntVector  *vec = PG_GETARG_INTVEC_P(0);
-	Datum	   *datums;
-	ArrayType  *result;
-
-	datums = (Datum *) palloc(sizeof(Datum) * vec->dim);
-
-	for (int i = 0; i < vec->dim; i++)
-		datums[i] = Int32GetDatum((int) vec->x[i]);
-
-	result = construct_array(datums, vec->dim, INT4OID, sizeof(int32), true, TYPALIGN_INT);
-
-	pfree(datums);
-
-	PG_RETURN_POINTER(result);
-}
-
-static int
-IntvecL2SquaredDistance(int dim, int8 *ax, int8 *bx)
-{
-	int			distance = 0;
-
-	/* Auto-vectorized */
-	for (int i = 0; i < dim; i++)
-	{
-		int			diff = (int) ax[i] - (int) bx[i];
-
-		distance += diff * diff;
-	}
-
-	return distance;
-}
-
-/*
- * Get the L2 distance between int vectors
- */
-PGDLLEXPORT PG_FUNCTION_INFO_V1(intvec_l2_distance);
-Datum
-intvec_l2_distance(PG_FUNCTION_ARGS)
-{
-	IntVector  *a = PG_GETARG_INTVEC_P(0);
-	IntVector  *b = PG_GETARG_INTVEC_P(1);
-
-	CheckDims(a, b);
-
-	PG_RETURN_FLOAT8(sqrt((double) IntvecL2SquaredDistance(a->dim, a->x, b->x)));
-}
-
-/*
- * Get the L2 squared distance between int vectors
- */
-PGDLLEXPORT PG_FUNCTION_INFO_V1(intvec_l2_squared_distance);
-Datum
-intvec_l2_squared_distance(PG_FUNCTION_ARGS)
-{
-	IntVector  *a = PG_GETARG_INTVEC_P(0);
-	IntVector  *b = PG_GETARG_INTVEC_P(1);
-
-	CheckDims(a, b);
-
-	PG_RETURN_FLOAT8((double) IntvecL2SquaredDistance(a->dim, a->x, b->x));
-}
-
-static int
-IntvecInnerProduct(int dim, int8 *ax, int8 *bx)
-{
-	int			distance = 0;
-
-	/* Auto-vectorized */
-	for (int i = 0; i < dim; i++)
-		distance += (int) ax[i] * (int) bx[i];
-
-	return distance;
-}
-
-/*
- * Get the inner product of two int vectors
- */
-PGDLLEXPORT PG_FUNCTION_INFO_V1(intvec_inner_product);
-Datum
-intvec_inner_product(PG_FUNCTION_ARGS)
-{
-	IntVector  *a = PG_GETARG_INTVEC_P(0);
-	IntVector  *b = PG_GETARG_INTVEC_P(1);
-
-	CheckDims(a, b);
-
-	PG_RETURN_FLOAT8((double) IntvecInnerProduct(a->dim, a->x, b->x));
-}
-
-/*
- * Get the negative inner product of two int vectors
- */
-PGDLLEXPORT PG_FUNCTION_INFO_V1(intvec_negative_inner_product);
-Datum
-intvec_negative_inner_product(PG_FUNCTION_ARGS)
-{
-	IntVector  *a = PG_GETARG_INTVEC_P(0);
-	IntVector  *b = PG_GETARG_INTVEC_P(1);
-
-	CheckDims(a, b);
-
-	PG_RETURN_FLOAT8((double) -IntvecInnerProduct(a->dim, a->x, b->x));
-}
-
-static double
-IntvecCosineSimilarity(int dim, int8 *ax, int8 *bx)
-{
-	int			similarity = 0;
-	int			norma = 0;
-	int			normb = 0;
-
-	/* Auto-vectorized */
-	for (int i = 0; i < dim; i++)
-	{
-		int			axi = ax[i];
-		int			bxi = 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);
-}
-
-/*
- * Get the cosine distance between two int vectors
- */
-PGDLLEXPORT PG_FUNCTION_INFO_V1(intvec_cosine_distance);
-Datum
-intvec_cosine_distance(PG_FUNCTION_ARGS)
-{
-	IntVector  *a = PG_GETARG_INTVEC_P(0);
-	IntVector  *b = PG_GETARG_INTVEC_P(1);
-	double		similarity;
-
-	CheckDims(a, b);
-
-	similarity = IntvecCosineSimilarity(a->dim, a->x, b->x);
-
-#ifdef _MSC_VER
-	/* /fp:fast may not propagate NaN */
-	if (isnan(similarity))
-		PG_RETURN_FLOAT8(NAN);
-#endif
-
-	/* Keep in range */
-	if (similarity > 1)
-		similarity = 1;
-	else if (similarity < -1)
-		similarity = -1;
-
-	PG_RETURN_FLOAT8(1 - similarity);
-}
-
-static int
-IntvecL1Distance(int dim, int8 *ax, int8 *bx)
-{
-	int			distance = 0;
-
-	/* Auto-vectorized */
-	for (int i = 0; i < dim; i++)
-		distance += abs((int) ax[i] - (int) bx[i]);
-
-	return distance;
-}
-
-/*
- * Get the L1 distance between two int vectors
- */
-PGDLLEXPORT PG_FUNCTION_INFO_V1(intvec_l1_distance);
-Datum
-intvec_l1_distance(PG_FUNCTION_ARGS)
-{
-	IntVector  *a = PG_GETARG_INTVEC_P(0);
-	IntVector  *b = PG_GETARG_INTVEC_P(1);
-
-	CheckDims(a, b);
-
-	PG_RETURN_FLOAT8((double) IntvecL1Distance(a->dim, a->x, b->x));
-}
-
-/*
- * Get the dimensions of an int vector
- */
-FUNCTION_PREFIX PG_FUNCTION_INFO_V1(intvec_vector_dims);
-Datum
-intvec_vector_dims(PG_FUNCTION_ARGS)
-{
-	IntVector  *a = PG_GETARG_INTVEC_P(0);
-
-	PG_RETURN_INT32(a->dim);
-}
-
-/*
- * Get the L2 norm of an int vector
- */
-PGDLLEXPORT PG_FUNCTION_INFO_V1(intvec_l2_norm);
-Datum
-intvec_l2_norm(PG_FUNCTION_ARGS)
-{
-	IntVector  *a = PG_GETARG_INTVEC_P(0);
-	int8	   *ax = a->x;
-	int			norm = 0;
-
-	/* Auto-vectorized */
-	for (int i = 0; i < a->dim; i++)
-		norm += (int) ax[i] * (int) ax[i];
-
-	PG_RETURN_FLOAT8(sqrt((double) norm));
-}
-
-/*
- * Internal helper to compare int vectors
- */
-static int
-intvec_cmp_internal(IntVector * a, IntVector * b)
-{
-	int			dim = Min(a->dim, b->dim);
-
-	/* Check values before dimensions to be consistent with Postgres arrays */
-	for (int i = 0; i < dim; i++)
-	{
-		if (a->x[i] < b->x[i])
-			return -1;
-
-		if (a->x[i] > b->x[i])
-			return 1;
-	}
-
-	if (a->dim < b->dim)
-		return -1;
-
-	if (a->dim > b->dim)
-		return 1;
-
-	return 0;
-}
-
-/*
- * Less than
- */
-FUNCTION_PREFIX PG_FUNCTION_INFO_V1(intvec_lt);
-Datum
-intvec_lt(PG_FUNCTION_ARGS)
-{
-	IntVector  *a = PG_GETARG_INTVEC_P(0);
-	IntVector  *b = PG_GETARG_INTVEC_P(1);
-
-	PG_RETURN_BOOL(intvec_cmp_internal(a, b) < 0);
-}
-
-/*
- * Less than or equal
- */
-FUNCTION_PREFIX PG_FUNCTION_INFO_V1(intvec_le);
-Datum
-intvec_le(PG_FUNCTION_ARGS)
-{
-	IntVector  *a = PG_GETARG_INTVEC_P(0);
-	IntVector  *b = PG_GETARG_INTVEC_P(1);
-
-	PG_RETURN_BOOL(intvec_cmp_internal(a, b) <= 0);
-}
-
-/*
- * Equal
- */
-FUNCTION_PREFIX PG_FUNCTION_INFO_V1(intvec_eq);
-Datum
-intvec_eq(PG_FUNCTION_ARGS)
-{
-	IntVector  *a = PG_GETARG_INTVEC_P(0);
-	IntVector  *b = PG_GETARG_INTVEC_P(1);
-
-	PG_RETURN_BOOL(intvec_cmp_internal(a, b) == 0);
-}
-
-/*
- * Not equal
- */
-FUNCTION_PREFIX PG_FUNCTION_INFO_V1(intvec_ne);
-Datum
-intvec_ne(PG_FUNCTION_ARGS)
-{
-	IntVector  *a = PG_GETARG_INTVEC_P(0);
-	IntVector  *b = PG_GETARG_INTVEC_P(1);
-
-	PG_RETURN_BOOL(intvec_cmp_internal(a, b) != 0);
-}
-
-/*
- * Greater than or equal
- */
-FUNCTION_PREFIX PG_FUNCTION_INFO_V1(intvec_ge);
-Datum
-intvec_ge(PG_FUNCTION_ARGS)
-{
-	IntVector  *a = PG_GETARG_INTVEC_P(0);
-	IntVector  *b = PG_GETARG_INTVEC_P(1);
-
-	PG_RETURN_BOOL(intvec_cmp_internal(a, b) >= 0);
-}
-
-/*
- * Greater than
- */
-FUNCTION_PREFIX PG_FUNCTION_INFO_V1(intvec_gt);
-Datum
-intvec_gt(PG_FUNCTION_ARGS)
-{
-	IntVector  *a = PG_GETARG_INTVEC_P(0);
-	IntVector  *b = PG_GETARG_INTVEC_P(1);
-
-	PG_RETURN_BOOL(intvec_cmp_internal(a, b) > 0);
-}
-
-/*
- * Compare int vectors
- */
-FUNCTION_PREFIX PG_FUNCTION_INFO_V1(intvec_cmp);
-Datum
-intvec_cmp(PG_FUNCTION_ARGS)
-{
-	IntVector  *a = PG_GETARG_INTVEC_P(0);
-	IntVector  *b = PG_GETARG_INTVEC_P(1);
-
-	PG_RETURN_INT32(intvec_cmp_internal(a, b));
-}

src/intvec.h

@@ -1,23 +0,0 @@
-#ifndef INTVEC_H
-#define INTVEC_H
-
-#include "vector.h"
-
-#define INTVEC_MAX_DIM VECTOR_MAX_DIM
-
-#define INTVEC_SIZE(_dim)		(offsetof(IntVector, x) + sizeof(int8)*(_dim))
-#define DatumGetIntVector(x)	((IntVector *) PG_DETOAST_DATUM(x))
-#define PG_GETARG_INTVEC_P(x)	DatumGetIntVector(PG_GETARG_DATUM(x))
-#define PG_RETURN_INTVEC_P(x)	PG_RETURN_POINTER(x)
-
-typedef struct IntVector
-{
-	int32		vl_len_;		/* varlena header (do not touch directly!) */
-	int16		dim;			/* number of dimensions */
-	int16		unused;
-	int8		x[FLEXIBLE_ARRAY_MEMBER];
-}			IntVector;
-
-IntVector  *InitIntVector(int dim);
-
-#endif

src/ivfbuild.c

@@ -360,7 +360,7 @@ InitBuildState(IvfflatBuildState * buildstate, Relation heap, Relation index, In
 	buildstate->sortdesc = CreateTemplateTupleDesc(3);
 	TupleDescInitEntry(buildstate->sortdesc, (AttrNumber) 1, "list", INT4OID, -1, 0);
 	TupleDescInitEntry(buildstate->sortdesc, (AttrNumber) 2, "tid", TIDOID, -1, 0);
-	TupleDescInitEntry(buildstate->sortdesc, (AttrNumber) 3, "vector", buildstate->tupdesc->attrs[0].atttypid, -1, 0);
+	TupleDescInitEntry(buildstate->sortdesc, (AttrNumber) 3, "vector", TupleDescAttr(buildstate->tupdesc, 0)->atttypid, -1, 0);
 
 	buildstate->slot = MakeSingleTupleTableSlot(buildstate->sortdesc, &TTSOpsVirtual);
 
@@ -1023,6 +1023,10 @@ 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

@@ -17,13 +17,13 @@
 #endif
 
 int			ivfflat_probes;
-int			ivfflat_iterative_search;
+int			ivfflat_iterative_scan;
 int			ivfflat_max_probes;
 static relopt_kind ivfflat_relopt_kind;
 
-static const struct config_enum_entry ivfflat_iterative_search_options[] = {
+static const struct config_enum_entry ivfflat_iterative_scan_options[] = {
-	{"off", IVFFLAT_ITERATIVE_SEARCH_OFF, false},
+	{"off", IVFFLAT_ITERATIVE_SCAN_OFF, false},
-	{"relaxed_order", IVFFLAT_ITERATIVE_SEARCH_RELAXED, false},
+	{"relaxed_order", IVFFLAT_ITERATIVE_SCAN_RELAXED, false},
 	{NULL, 0, false}
 };
 
@@ -41,14 +41,14 @@ IvfflatInit(void)
 							"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_search", "Sets the iterative search mode",
+	DefineCustomEnumVariable("ivfflat.iterative_scan", "Sets the mode for iterative scans",
-							 NULL, &ivfflat_iterative_search,
+							 NULL, &ivfflat_iterative_scan,
-							 IVFFLAT_ITERATIVE_SEARCH_OFF, ivfflat_iterative_search_options, PGC_USERSET, 0, NULL, NULL, NULL);
+							 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 search",
+	DefineCustomIntVariable("ivfflat.max_probes", "Sets the max number of probes for iterative scans",
-							"-1 means no limit", &ivfflat_max_probes,
+							NULL, &ivfflat_max_probes,
-							-1, -1, IVFFLAT_MAX_LISTS, PGC_USERSET, 0, NULL, NULL, NULL);
+							IVFFLAT_MAX_LISTS, IVFFLAT_MIN_LISTS, IVFFLAT_MAX_LISTS, PGC_USERSET, 0, NULL, NULL, NULL);
 
 	MarkGUCPrefixReserved("ivfflat");
 }
@@ -99,6 +99,10 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
 		*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;
 	}
 
@@ -182,6 +186,11 @@ ivfflathandler(PG_FUNCTION_ARGS)
 	amroutine->amoptsprocnum = 0;
 	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;
@@ -214,6 +223,9 @@ ivfflathandler(PG_FUNCTION_ARGS)
 	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 */
 	amroutine->ambuildphasename = ivfflatbuildphasename;
@@ -234,5 +246,10 @@ 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);
 }

src/ivfflat.h

@@ -73,21 +73,23 @@
 #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_search;
+extern int	ivfflat_iterative_scan;
 extern int	ivfflat_max_probes;
 
-typedef enum IvfflatIterativeSearchMode
+typedef enum IvfflatIterativeScanMode
 {
-	IVFFLAT_ITERATIVE_SEARCH_OFF,
+	IVFFLAT_ITERATIVE_SCAN_OFF,
-	IVFFLAT_ITERATIVE_SEARCH_RELAXED
+	IVFFLAT_ITERATIVE_SCAN_RELAXED
-}			IvfflatIterativeSearchMode;
+}			IvfflatIterativeScanMode;
 
 typedef struct VectorArrayData
 {

src/ivfscan.c

@@ -114,7 +114,6 @@ GetScanItems(IndexScanDesc scan, Datum value)
 {
 	IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
 	TupleDesc	tupdesc = RelationGetDescr(scan->indexRelation);
-	double		tuples = 0;
 	TupleTableSlot *slot = so->vslot;
 	int			batchProbes = 0;
 
@@ -161,8 +160,6 @@ GetScanItems(IndexScanDesc scan, Datum value)
 				ExecStoreVirtualTuple(slot);
 
 				tuplesort_puttupleslot(so->sortstate, slot);
-
-				tuples++;
 			}
 
 			searchPage = IvfflatPageGetOpaque(page)->nextblkno;
@@ -171,12 +168,6 @@ GetScanItems(IndexScanDesc scan, Datum value)
 		}
 	}
 
-	if (tuples < 100 && ivfflat_iterative_search == IVFFLAT_ITERATIVE_SEARCH_OFF)
-		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)
@@ -263,18 +254,8 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
 	/* Get lists and dimensions from metapage */
 	IvfflatGetMetaPageInfo(index, &lists, &dimensions);
 
-	if (ivfflat_iterative_search != IVFFLAT_ITERATIVE_SEARCH_OFF)
+	if (ivfflat_iterative_scan != IVFFLAT_ITERATIVE_SCAN_OFF)
-	{
+		maxProbes = Max(ivfflat_max_probes, probes);
-		maxProbes = ivfflat_max_probes;
-
-		if (maxProbes < 0)
-			maxProbes = lists;
-		else if (maxProbes < probes)
-		{
-			/* TODO Show notice */
-			maxProbes = probes;
-		}
-	}
 	else
 		maxProbes = probes;
 

src/ivfutils.c

@@ -259,8 +259,8 @@ VectorUpdateCenter(Pointer v, int dimensions, float *x)
 	SET_VARSIZE(vec, VECTOR_SIZE(dimensions));
 	vec->dim = dimensions;
 
-	for (int k = 0; k < dimensions; k++)
+	for (int i = 0; i < dimensions; i++)
-		vec->x[k] = x[k];
+		vec->x[i] = x[i];
 }
 
 static void
@@ -271,8 +271,8 @@ HalfvecUpdateCenter(Pointer v, int dimensions, float *x)
 	SET_VARSIZE(vec, HALFVEC_SIZE(dimensions));
 	vec->dim = dimensions;
 
-	for (int k = 0; k < dimensions; k++)
+	for (int i = 0; i < dimensions; i++)
-		vec->x[k] = Float4ToHalfUnchecked(x[k]);
+		vec->x[i] = Float4ToHalfUnchecked(x[i]);
 }
 
 static void
@@ -284,29 +284,33 @@ BitUpdateCenter(Pointer v, int dimensions, float *x)
 	SET_VARSIZE(vec, VARBITTOTALLEN(dimensions));
 	VARBITLEN(vec) = dimensions;
 
-	for (uint32 k = 0; k < VARBITBYTES(vec); k++)
+	for (uint32 i = 0; i < VARBITBYTES(vec); i++)
-		nx[k] = 0;
+		nx[i] = 0;
 
-	for (int k = 0; k < dimensions; k++)
+	for (int i = 0; i < dimensions; i++)
-		nx[k / 8] |= (x[k] > 0.5 ? 1 : 0) << (7 - (k % 8));
+		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;
 
-	for (int k = 0; k < vec->dim; k++)
+	/* Auto-vectorized */
-		x[k] += vec->x[k];
+	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;
 
-	for (int k = 0; k < vec->dim; k++)
+	/* Auto-vectorized on aarch64 */
-		x[k] += HalfToFloat4(vec->x[k]);
+	for (int i = 0; i < dim; i++)
+		x[i] += HalfToFloat4(vec->x[i]);
 }
 
 static void
@@ -314,8 +318,8 @@ BitSumCenter(Pointer v, float *x)
 {
 	VarBit	   *vec = (VarBit *) v;
 
-	for (int k = 0; k < VARBITLEN(vec); k++)
+	for (int i = 0; i < VARBITLEN(vec); i++)
-		x[k] += (float) (((VARBITS(vec)[k / 8]) >> (7 - (k % 8))) & 0x01);
+		x[i] += (float) (((VARBITS(vec)[i / 8]) >> (7 - (i % 8))) & 0x01);
 }
 
 /*
@@ -355,7 +359,7 @@ ivfflat_halfvec_support(PG_FUNCTION_ARGS)
 	};
 
 	PG_RETURN_POINTER(&typeInfo);
-};
+}
 
 FUNCTION_PREFIX PG_FUNCTION_INFO_V1(ivfflat_bit_support);
 Datum
@@ -370,4 +374,4 @@ ivfflat_bit_support(PG_FUNCTION_ARGS)
 	};
 
 	PG_RETURN_POINTER(&typeInfo);
-};
+}

src/ivfvacuum.c

@@ -5,6 +5,10 @@
 #include "ivfflat.h"
 #include "storage/bufmgr.h"
 
+#if PG_VERSION_NUM >= 180000
+#define vacuum_delay_point() vacuum_delay_point(false)
+#endif
+
 /*
  * Bulk delete tuples from the index
  */

src/sparsevec.c

@@ -4,6 +4,7 @@
 #include <math.h>
 
 #include "catalog/pg_type.h"
+#include "common/shortest_dec.h"
 #include "common/string.h"
 #include "fmgr.h"
 #include "halfutils.h"
@@ -12,17 +13,10 @@
 #include "sparsevec.h"
 #include "utils/array.h"
 #include "utils/builtins.h"
+#include "utils/float.h"
 #include "utils/lsyscache.h"
 #include "vector.h"
 
-#if PG_VERSION_NUM >= 120000
-#include "common/shortest_dec.h"
-#include "utils/float.h"
-#else
-#include <float.h>
-#include "utils/builtins.h"
-#endif
-
 typedef struct SparseInputElement
 {
 	int32		index;

src/vector.c

@@ -916,15 +916,19 @@ vector_concat(PG_FUNCTION_ARGS)
 	Vector	   *b = PG_GETARG_VECTOR_P(1);
 	Vector	   *result;
 	int			dim = a->dim + b->dim;
+	int			dim_a = a->dim;
+	int			dim_b = b->dim;
 
 	CheckDim(dim);
 	result = InitVector(dim);
 
-	for (int i = 0; i < a->dim; i++)
+	/* Auto-vectorized */
+	for (int i = 0; i < dim_a; i++)
 		result->x[i] = a->x[i];
 
-	for (int i = 0; i < b->dim; i++)
+	/* Auto-vectorized */
-		result->x[i + a->dim] = b->x[i];
+	for (int i = 0; i < dim_b; i++)
+		result->x[i + dim_a] = b->x[i];
 
 	PG_RETURN_POINTER(result);
 }

test/expected/cast.out

@@ -140,34 +140,6 @@ SELECT '{1e-8,-1e-8}'::real[]::halfvec;
  [0,-0]
 (1 row)
 
-SELECT '[1,2,3]'::intvec::integer[];
-  int4   
----------
- {1,2,3}
-(1 row)
-
-SELECT '{1,2,3}'::integer[]::intvec;
- intvec  
----------
- [1,2,3]
-(1 row)
-
-SELECT '{1,2,3}'::integer[]::intvec(3);
- intvec  
----------
- [1,2,3]
-(1 row)
-
-SELECT '{1,2,3}'::integer[]::intvec(2);
-ERROR:  expected 2 dimensions, not 3
-SELECT '{127,-128}'::integer[]::intvec;
-   intvec   
-------------
- [127,-128]
-(1 row)
-
-SELECT '{128,-129}'::integer[]::intvec;
-ERROR:  value "128" is out of range for type intvec
 SELECT '[0,1.5,0,3.5,0]'::vector::sparsevec;
     sparsevec    
 -----------------

test/expected/copy.out

@@ -30,23 +30,6 @@ SELECT * FROM t2 ORDER BY val;
  
 (4 rows)
 
-DROP TABLE t;
-DROP TABLE t2;
--- intvec
-CREATE TABLE t (val intvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE TABLE t2 (val intvec(3));
-\copy t TO 'results/intvec.bin' WITH (FORMAT binary)
-\copy t2 FROM 'results/intvec.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

test/expected/hnsw_intvec.out

@@ -1,102 +0,0 @@
-SET enable_seqscan = off;
--- L2
-CREATE TABLE t (val intvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val intvec_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::intvec)) 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 intvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val intvec_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::intvec)) t2;
- count 
--------
-     4
-(1 row)
-
-DROP TABLE t;
--- cosine
-CREATE TABLE t (val intvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val intvec_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::intvec)) t2;
- count 
--------
-     3
-(1 row)
-
-DROP TABLE t;
--- L1
-CREATE TABLE t (val intvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val intvec_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::intvec)) t2;
- count 
--------
-     4
-(1 row)
-
-DROP TABLE t;

test/expected/hnsw_vector.out

@@ -104,7 +104,7 @@ DROP TABLE t;
 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_search = strict_order;
+SET hnsw.iterative_scan = strict_order;
 SET hnsw.ef_search = 1;
 SELECT * FROM t ORDER BY val <-> '[3,3,3]';
    val   
@@ -114,7 +114,7 @@ SELECT * FROM t ORDER BY val <-> '[3,3,3]';
  [0,0,0]
 (3 rows)
 
-SET hnsw.iterative_search = relaxed_order;
+SET hnsw.iterative_scan = relaxed_order;
 SELECT * FROM t ORDER BY val <-> '[3,3,3]';
    val   
 ---------
@@ -123,7 +123,13 @@ SELECT * FROM t ORDER BY val <-> '[3,3,3]';
  [0,0,0]
 (3 rows)
 
-RESET hnsw.iterative_search;
+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
@@ -165,21 +171,31 @@ 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_search;
+SHOW hnsw.iterative_scan;
- hnsw.iterative_search 
+ hnsw.iterative_scan 
------------------------
+---------------------
  off
 (1 row)
 
-SET hnsw.iterative_search = on;
+SET hnsw.iterative_scan = on;
-ERROR:  invalid value for parameter "hnsw.iterative_search": "on"
+ERROR:  invalid value for parameter "hnsw.iterative_scan": "on"
 HINT:  Available values: off, relaxed_order, strict_order.
-SHOW hnsw.max_search_tuples;
+SHOW hnsw.max_scan_tuples;
- hnsw.max_search_tuples 
+ hnsw.max_scan_tuples 
-------------------------
+----------------------
- -1
+ 20000
 (1 row)
 
-SET hnsw.max_search_tuples = -2;
+SET hnsw.max_scan_tuples = 0;
-ERROR:  -2 is outside the valid range for parameter "hnsw.max_search_tuples" (-1 .. 2147483647)
+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)
 DROP TABLE t;

test/expected/intvec.out

@@ -1,328 +0,0 @@
-SELECT '[1,2,3]'::intvec;
- intvec  
----------
- [1,2,3]
-(1 row)
-
-SELECT '[-1,-2,-3]'::intvec;
-   intvec   
-------------
- [-1,-2,-3]
-(1 row)
-
-SELECT ' [ 1,  2 ,    3  ] '::intvec;
- intvec  
----------
- [1,2,3]
-(1 row)
-
-SELECT '[1.23456]'::intvec;
-ERROR:  invalid input syntax for type intvec: "[1.23456]"
-LINE 1: SELECT '[1.23456]'::intvec;
-               ^
-SELECT '[hello,1]'::intvec;
-ERROR:  invalid input syntax for type intvec: "[hello,1]"
-LINE 1: SELECT '[hello,1]'::intvec;
-               ^
-SELECT '[127,-128]'::intvec;
-   intvec   
-------------
- [127,-128]
-(1 row)
-
-SELECT '[128,-129]'::intvec;
-ERROR:  "128" is out of range for type intvec
-LINE 1: SELECT '[128,-129]'::intvec;
-               ^
-SELECT '[1,2,3'::intvec;
-ERROR:  invalid input syntax for type intvec: "[1,2,3"
-LINE 1: SELECT '[1,2,3'::intvec;
-               ^
-SELECT '[1,2,3]9'::intvec;
-ERROR:  invalid input syntax for type intvec: "[1,2,3]9"
-LINE 1: SELECT '[1,2,3]9'::intvec;
-               ^
-DETAIL:  Junk after closing right brace.
-SELECT '1,2,3'::intvec;
-ERROR:  invalid input syntax for type intvec: "1,2,3"
-LINE 1: SELECT '1,2,3'::intvec;
-               ^
-DETAIL:  Vector contents must start with "[".
-SELECT ''::intvec;
-ERROR:  invalid input syntax for type intvec: ""
-LINE 1: SELECT ''::intvec;
-               ^
-DETAIL:  Vector contents must start with "[".
-SELECT '['::intvec;
-ERROR:  invalid input syntax for type intvec: "["
-LINE 1: SELECT '['::intvec;
-               ^
-SELECT '[,'::intvec;
-ERROR:  invalid input syntax for type intvec: "[,"
-LINE 1: SELECT '[,'::intvec;
-               ^
-SELECT '[]'::intvec;
-ERROR:  intvec must have at least 1 dimension
-LINE 1: SELECT '[]'::intvec;
-               ^
-SELECT '[1,]'::intvec;
-ERROR:  invalid input syntax for type intvec: "[1,]"
-LINE 1: SELECT '[1,]'::intvec;
-               ^
-SELECT '[1a]'::intvec;
-ERROR:  invalid input syntax for type intvec: "[1a]"
-LINE 1: SELECT '[1a]'::intvec;
-               ^
-SELECT '[1,,3]'::intvec;
-ERROR:  invalid input syntax for type intvec: "[1,,3]"
-LINE 1: SELECT '[1,,3]'::intvec;
-               ^
-SELECT '[1, ,3]'::intvec;
-ERROR:  invalid input syntax for type intvec: "[1, ,3]"
-LINE 1: SELECT '[1, ,3]'::intvec;
-               ^
-SELECT '[1,2,3]'::intvec(3);
- intvec  
----------
- [1,2,3]
-(1 row)
-
-SELECT '[1,2,3]'::intvec(2);
-ERROR:  expected 2 dimensions, not 3
-SELECT '[1,2,3]'::intvec(3, 2);
-ERROR:  invalid type modifier
-LINE 1: SELECT '[1,2,3]'::intvec(3, 2);
-                          ^
-SELECT '[1,2,3]'::intvec('a');
-ERROR:  invalid input syntax for type integer: "a"
-LINE 1: SELECT '[1,2,3]'::intvec('a');
-                          ^
-SELECT '[1,2,3]'::intvec(0);
-ERROR:  dimensions for type intvec must be at least 1
-LINE 1: SELECT '[1,2,3]'::intvec(0);
-                          ^
-SELECT '[1,2,3]'::intvec(16001);
-ERROR:  dimensions for type intvec cannot exceed 16000
-LINE 1: SELECT '[1,2,3]'::intvec(16001);
-                          ^
-SELECT unnest('{"[1,2,3]", "[4,5,6]"}'::intvec[]);
- unnest  
----------
- [1,2,3]
- [4,5,6]
-(2 rows)
-
-SELECT '{"[1,2,3]"}'::intvec(2)[];
-ERROR:  expected 2 dimensions, not 3
-SELECT '[1,2,3]'::intvec < '[1,2,3]';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '[1,2,3]'::intvec < '[1,2]';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '[1,2,3]'::intvec <= '[1,2,3]';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT '[1,2,3]'::intvec <= '[1,2]';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '[1,2,3]'::intvec = '[1,2,3]';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT '[1,2,3]'::intvec = '[1,2]';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '[1,2,3]'::intvec != '[1,2,3]';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '[1,2,3]'::intvec != '[1,2]';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT '[1,2,3]'::intvec >= '[1,2,3]';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT '[1,2,3]'::intvec >= '[1,2]';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT '[1,2,3]'::intvec > '[1,2,3]';
- ?column? 
-----------
- f
-(1 row)
-
-SELECT '[1,2,3]'::intvec > '[1,2]';
- ?column? 
-----------
- t
-(1 row)
-
-SELECT intvec_cmp('[1,2,3]', '[1,2,3]');
- intvec_cmp 
-------------
-          0
-(1 row)
-
-SELECT intvec_cmp('[1,2,3]', '[0,0,0]');
- intvec_cmp 
-------------
-          1
-(1 row)
-
-SELECT intvec_cmp('[0,0,0]', '[1,2,3]');
- intvec_cmp 
-------------
-         -1
-(1 row)
-
-SELECT intvec_cmp('[1,2]', '[1,2,3]');
- intvec_cmp 
-------------
-         -1
-(1 row)
-
-SELECT intvec_cmp('[1,2,3]', '[1,2]');
- intvec_cmp 
-------------
-          1
-(1 row)
-
-SELECT intvec_cmp('[1,2]', '[2,3,4]');
- intvec_cmp 
-------------
-         -1
-(1 row)
-
-SELECT intvec_cmp('[2,3]', '[1,2,3]');
- intvec_cmp 
-------------
-          1
-(1 row)
-
-SELECT vector_dims('[1,2,3]'::intvec);
- vector_dims 
--------------
-           3
-(1 row)
-
-SELECT l2_distance('[0,0]'::intvec, '[3,4]');
- l2_distance 
--------------
-           5
-(1 row)
-
-SELECT l2_distance('[0,0]'::intvec, '[0,1]');
- l2_distance 
--------------
-           1
-(1 row)
-
-SELECT l2_distance('[1,2]'::intvec, '[3]');
-ERROR:  different intvec dimensions 2 and 1
-SELECT '[0,0]'::intvec <-> '[3,4]';
- ?column? 
-----------
-        5
-(1 row)
-
-SELECT inner_product('[1,2]'::intvec, '[3,4]');
- inner_product 
----------------
-            11
-(1 row)
-
-SELECT inner_product('[1,2]'::intvec, '[3]');
-ERROR:  different intvec dimensions 2 and 1
-SELECT inner_product('[127]'::intvec, '[127]');
- inner_product 
----------------
-         16129
-(1 row)
-
-SELECT '[1,2]'::intvec <#> '[3,4]';
- ?column? 
-----------
-      -11
-(1 row)
-
-SELECT cosine_distance('[1,2]'::intvec, '[2,4]');
- cosine_distance 
------------------
-               0
-(1 row)
-
-SELECT cosine_distance('[1,2]'::intvec, '[0,0]');
- cosine_distance 
------------------
-             NaN
-(1 row)
-
-SELECT cosine_distance('[1,1]'::intvec, '[1,1]');
- cosine_distance 
------------------
-               0
-(1 row)
-
-SELECT cosine_distance('[1,0]'::intvec, '[0,2]');
- cosine_distance 
------------------
-               1
-(1 row)
-
-SELECT cosine_distance('[1,1]'::intvec, '[-1,-1]');
- cosine_distance 
------------------
-               2
-(1 row)
-
-SELECT cosine_distance('[1,2]'::intvec, '[3]');
-ERROR:  different intvec dimensions 2 and 1
-SELECT '[1,2]'::intvec <=> '[2,4]';
- ?column? 
-----------
-        0
-(1 row)
-
-SELECT l1_distance('[0,0]'::intvec, '[3,4]');
- l1_distance 
--------------
-           7
-(1 row)
-
-SELECT l1_distance('[0,0]'::intvec, '[0,1]');
- l1_distance 
--------------
-           1
-(1 row)
-
-SELECT l1_distance('[1,2]'::intvec, '[3]');
-ERROR:  different intvec dimensions 2 and 1

test/expected/ivfflat_vector.out

@@ -86,7 +86,7 @@ DROP TABLE t;
 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_search = relaxed_order;
+SET ivfflat.iterative_scan = relaxed_order;
 SELECT * FROM t ORDER BY val <-> '[3,3,3]';
    val   
 ---------
@@ -95,13 +95,6 @@ SELECT * FROM t ORDER BY val <-> '[3,3,3]';
  [0,0,0]
 (3 rows)
 
-SET ivfflat.max_probes = 0;
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-   val   
----------
- [1,2,3]
-(1 row)
-
 SET ivfflat.max_probes = 1;
 SELECT * FROM t ORDER BY val <-> '[3,3,3]';
    val   
@@ -117,7 +110,16 @@ SELECT * FROM t ORDER BY val <-> '[3,3,3]';
  [1,1,1]
 (2 rows)
 
-RESET ivfflat.iterative_search;
+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
@@ -151,23 +153,23 @@ 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_search;
+SHOW ivfflat.iterative_scan;
- ivfflat.iterative_search 
+ ivfflat.iterative_scan 
---------------------------
+------------------------
  off
 (1 row)
 
-SET ivfflat.iterative_search = on;
+SET ivfflat.iterative_scan = on;
-ERROR:  invalid value for parameter "ivfflat.iterative_search": "on"
+ERROR:  invalid value for parameter "ivfflat.iterative_scan": "on"
 HINT:  Available values: off, relaxed_order.
 SHOW ivfflat.max_probes;
  ivfflat.max_probes 
 --------------------
- -1
+ 32768
 (1 row)
 
-SET ivfflat.max_probes = -2;
+SET ivfflat.max_probes = 0;
-ERROR:  -2 is outside the valid range for parameter "ivfflat.max_probes" (-1 .. 32768)
+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)
+ERROR:  32769 is outside the valid range for parameter "ivfflat.max_probes" (1 .. 32768)
 DROP TABLE t;

test/sql/cast.sql

@@ -38,14 +38,6 @@ SELECT '{1,2,3}'::real[]::halfvec(2);
 SELECT '{65520,-65520}'::real[]::halfvec;
 SELECT '{1e-8,-1e-8}'::real[]::halfvec;
 
-SELECT '[1,2,3]'::intvec::integer[];
-
-SELECT '{1,2,3}'::integer[]::intvec;
-SELECT '{1,2,3}'::integer[]::intvec(3);
-SELECT '{1,2,3}'::integer[]::intvec(2);
-SELECT '{127,-128}'::integer[]::intvec;
-SELECT '{128,-129}'::integer[]::intvec;
-
 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);

test/sql/copy.sql

@@ -28,21 +28,6 @@ SELECT * FROM t2 ORDER BY val;
 DROP TABLE t;
 DROP TABLE t2;
 
--- intvec
-
-CREATE TABLE t (val intvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-
-CREATE TABLE t2 (val intvec(3));
-
-\copy t TO 'results/intvec.bin' WITH (FORMAT binary)
-\copy t2 FROM 'results/intvec.bin' WITH (FORMAT binary)
-
-SELECT * FROM t2 ORDER BY val;
-
-DROP TABLE t;
-DROP TABLE t2;
-
 -- sparsevec
 
 CREATE TABLE t (val sparsevec(3));

test/sql/hnsw_intvec.sql

@@ -1,58 +0,0 @@
-SET enable_seqscan = off;
-
--- L2
-
-CREATE TABLE t (val intvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val intvec_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::intvec)) 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 intvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val intvec_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::intvec)) t2;
-
-DROP TABLE t;
-
--- cosine
-
-CREATE TABLE t (val intvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val intvec_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::intvec)) t2;
-
-DROP TABLE t;
-
--- L1
-
-CREATE TABLE t (val intvec(3));
-INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
-CREATE INDEX ON t USING hnsw (val intvec_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::intvec)) t2;
-
-DROP TABLE t;

test/sql/hnsw_vector.sql

@@ -63,14 +63,17 @@ 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_search = strict_order;
+SET hnsw.iterative_scan = strict_order;
 SET hnsw.ef_search = 1;
 SELECT * FROM t ORDER BY val <-> '[3,3,3]';
 
-SET hnsw.iterative_search = relaxed_order;
+SET hnsw.iterative_scan = relaxed_order;
 SELECT * FROM t ORDER BY val <-> '[3,3,3]';
 
-RESET hnsw.iterative_search;
+TRUNCATE t;
+SELECT * FROM t ORDER BY val <-> '[3,3,3]';
+
+RESET hnsw.iterative_scan;
 RESET hnsw.ef_search;
 DROP TABLE t;
 
@@ -98,12 +101,17 @@ SHOW hnsw.ef_search;
 SET hnsw.ef_search = 0;
 SET hnsw.ef_search = 1001;
 
-SHOW hnsw.iterative_search;
+SHOW hnsw.iterative_scan;
 
-SET hnsw.iterative_search = on;
+SET hnsw.iterative_scan = on;
 
-SHOW hnsw.max_search_tuples;
+SHOW hnsw.max_scan_tuples;
 
-SET hnsw.max_search_tuples = -2;
+SET hnsw.max_scan_tuples = 0;
+
+SHOW hnsw.scan_mem_multiplier;
+
+SET hnsw.scan_mem_multiplier = 0;
+SET hnsw.scan_mem_multiplier = 1001;
 
 DROP TABLE t;

test/sql/intvec.sql

@@ -1,73 +0,0 @@
-SELECT '[1,2,3]'::intvec;
-SELECT '[-1,-2,-3]'::intvec;
-SELECT ' [ 1,  2 ,    3  ] '::intvec;
-SELECT '[1.23456]'::intvec;
-SELECT '[hello,1]'::intvec;
-SELECT '[127,-128]'::intvec;
-SELECT '[128,-129]'::intvec;
-SELECT '[1,2,3'::intvec;
-SELECT '[1,2,3]9'::intvec;
-SELECT '1,2,3'::intvec;
-SELECT ''::intvec;
-SELECT '['::intvec;
-SELECT '[,'::intvec;
-SELECT '[]'::intvec;
-SELECT '[1,]'::intvec;
-SELECT '[1a]'::intvec;
-SELECT '[1,,3]'::intvec;
-SELECT '[1, ,3]'::intvec;
-
-SELECT '[1,2,3]'::intvec(3);
-SELECT '[1,2,3]'::intvec(2);
-SELECT '[1,2,3]'::intvec(3, 2);
-SELECT '[1,2,3]'::intvec('a');
-SELECT '[1,2,3]'::intvec(0);
-SELECT '[1,2,3]'::intvec(16001);
-
-SELECT unnest('{"[1,2,3]", "[4,5,6]"}'::intvec[]);
-SELECT '{"[1,2,3]"}'::intvec(2)[];
-
-SELECT '[1,2,3]'::intvec < '[1,2,3]';
-SELECT '[1,2,3]'::intvec < '[1,2]';
-SELECT '[1,2,3]'::intvec <= '[1,2,3]';
-SELECT '[1,2,3]'::intvec <= '[1,2]';
-SELECT '[1,2,3]'::intvec = '[1,2,3]';
-SELECT '[1,2,3]'::intvec = '[1,2]';
-SELECT '[1,2,3]'::intvec != '[1,2,3]';
-SELECT '[1,2,3]'::intvec != '[1,2]';
-SELECT '[1,2,3]'::intvec >= '[1,2,3]';
-SELECT '[1,2,3]'::intvec >= '[1,2]';
-SELECT '[1,2,3]'::intvec > '[1,2,3]';
-SELECT '[1,2,3]'::intvec > '[1,2]';
-
-SELECT intvec_cmp('[1,2,3]', '[1,2,3]');
-SELECT intvec_cmp('[1,2,3]', '[0,0,0]');
-SELECT intvec_cmp('[0,0,0]', '[1,2,3]');
-SELECT intvec_cmp('[1,2]', '[1,2,3]');
-SELECT intvec_cmp('[1,2,3]', '[1,2]');
-SELECT intvec_cmp('[1,2]', '[2,3,4]');
-SELECT intvec_cmp('[2,3]', '[1,2,3]');
-
-SELECT vector_dims('[1,2,3]'::intvec);
-
-SELECT l2_distance('[0,0]'::intvec, '[3,4]');
-SELECT l2_distance('[0,0]'::intvec, '[0,1]');
-SELECT l2_distance('[1,2]'::intvec, '[3]');
-SELECT '[0,0]'::intvec <-> '[3,4]';
-
-SELECT inner_product('[1,2]'::intvec, '[3,4]');
-SELECT inner_product('[1,2]'::intvec, '[3]');
-SELECT inner_product('[127]'::intvec, '[127]');
-SELECT '[1,2]'::intvec <#> '[3,4]';
-
-SELECT cosine_distance('[1,2]'::intvec, '[2,4]');
-SELECT cosine_distance('[1,2]'::intvec, '[0,0]');
-SELECT cosine_distance('[1,1]'::intvec, '[1,1]');
-SELECT cosine_distance('[1,0]'::intvec, '[0,2]');
-SELECT cosine_distance('[1,1]'::intvec, '[-1,-1]');
-SELECT cosine_distance('[1,2]'::intvec, '[3]');
-SELECT '[1,2]'::intvec <=> '[2,4]';
-
-SELECT l1_distance('[0,0]'::intvec, '[3,4]');
-SELECT l1_distance('[0,0]'::intvec, '[0,1]');
-SELECT l1_distance('[1,2]'::intvec, '[3]');

test/sql/ivfflat_vector.sql

@@ -50,10 +50,7 @@ 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_search = relaxed_order;
+SET ivfflat.iterative_scan = relaxed_order;
-SELECT * FROM t ORDER BY val <-> '[3,3,3]';
-
-SET ivfflat.max_probes = 0;
 SELECT * FROM t ORDER BY val <-> '[3,3,3]';
 
 SET ivfflat.max_probes = 1;
@@ -62,7 +59,10 @@ SELECT * FROM t ORDER BY val <-> '[3,3,3]';
 SET ivfflat.max_probes = 2;
 SELECT * FROM t ORDER BY val <-> '[3,3,3]';
 
-RESET ivfflat.iterative_search;
+TRUNCATE t;
+SELECT * FROM t ORDER BY val <-> '[3,3,3]';
+
+RESET ivfflat.iterative_scan;
 RESET ivfflat.max_probes;
 DROP TABLE t;
 
@@ -87,13 +87,13 @@ SHOW ivfflat.probes;
 SET ivfflat.probes = 0;
 SET ivfflat.probes = 32769;
 
-SHOW ivfflat.iterative_search;
+SHOW ivfflat.iterative_scan;
 
-SET ivfflat.iterative_search = on;
+SET ivfflat.iterative_scan = on;
 
 SHOW ivfflat.max_probes;
 
-SET ivfflat.max_probes = -2;
+SET ivfflat.max_probes = 0;
 SET ivfflat.max_probes = 32769;
 
 DROP TABLE t;

test/t/033_comparison.pl

@@ -40,10 +40,6 @@ for (1 .. 50)
 	$actual = $node->safe_psql("postgres", "SELECT halfvec_cmp(v::halfvec, '$query'::real[]::halfvec) FROM tst");
 	is($expected, $actual);
 
-	# Test intvec
-	$actual = $node->safe_psql("postgres", "SELECT intvec_cmp(v::integer[]::intvec, '$query'::integer[]::intvec) FROM tst");
-	is($expected, $actual);
-
 	# Test sparsevec
 	$actual = $node->safe_psql("postgres", "SELECT sparsevec_cmp(v::vector::sparsevec, '$query'::real[]::vector::sparsevec) FROM tst");
 	is($expected, $actual);

test/t/034_distance_functions.pl

@@ -45,10 +45,6 @@ for my $function (@functions)
 		my $actual = $node->safe_psql("postgres", "SELECT $function(v::halfvec, '$query'::vector::halfvec) FROM tst");
 		is($expected, $actual, "halfvec $function");
 
-		# Test intvec
-		$actual = $node->safe_psql("postgres", "SELECT $function(v::real[]::integer[]::intvec, '$query'::vector::real[]::integer[]::intvec) FROM tst");
-		is($expected, $actual, "intvec $function");
-
 		# Test sparsevec
 		$actual = $node->safe_psql("postgres", "SELECT $function(v::sparsevec, '$query'::vector::sparsevec) FROM tst");
 		is($expected, $actual, "sparsevec $function");

test/t/037_inputs.pl

@@ -12,8 +12,8 @@ $node->start;
 # Create extension
 $node->safe_psql("postgres", "CREATE EXTENSION vector;");
 
-my @types = ("vector", "halfvec", "intvec", "sparsevec");
+my @types = ("vector", "halfvec", "sparsevec");
-my @inputs = ("[1.23,4.56,7.89]", "[1.23,4.56,7.89]", "[1,2,3]", "{1:1.23,2:4.56,3:7.89}/3");
+my @inputs = ("[1.23,4.56,7.89]", "[1.23,4.56,7.89]", "{1:1.23,2:4.56,3:7.89}/3");
 my @subs = (" ", " ", ",", ":", "-", "1", "9", "\0", "2147483648", "-2147483649");
 
 for my $i (0 .. $#types)

test/t/041_ivfflat_iterative_scan.pl

@@ -23,7 +23,7 @@ $node->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v vector_l2_ops
 my $count = $node->safe_psql("postgres", qq(
 	SET enable_seqscan = off;
 	SET ivfflat.probes = 10;
-	SET ivfflat.iterative_search = relaxed_order;
+	SET ivfflat.iterative_scan = relaxed_order;
 	SELECT COUNT(*) FROM (SELECT v FROM tst WHERE i % 10000 = 0 ORDER BY v <-> (SELECT v FROM tst LIMIT 1) LIMIT 11) t;
 ));
 is($count, 10);
@@ -39,7 +39,7 @@ foreach ((30, 50, 70))
 		$count = $node->safe_psql("postgres", qq(
 			SET enable_seqscan = off;
 			SET ivfflat.probes = 10;
-			SET ivfflat.iterative_search = relaxed_order;
+			SET ivfflat.iterative_scan = relaxed_order;
 			SET ivfflat.max_probes = $max_probes;
 			SELECT COUNT(*) FROM (SELECT v FROM tst WHERE i % 10000 = 0 ORDER BY v <-> (SELECT v FROM tst WHERE i = $i) LIMIT 11) t;
 		));

test/t/042_ivfflat_iterative_scan_recall.pl

@@ -19,7 +19,7 @@ sub test_recall
 	my $explain = $node->safe_psql("postgres", qq(
 		SET enable_seqscan = off;
 		SET ivfflat.probes = $probes;
-		SET ivfflat.iterative_search = relaxed_order;
+		SET ivfflat.iterative_scan = relaxed_order;
 		EXPLAIN ANALYZE SELECT i FROM tst WHERE i % $c = 0 ORDER BY v $operator '$queries[0]' LIMIT $limit;
 	));
 	like($explain, qr/Index Scan using idx on tst/);
@@ -29,7 +29,7 @@ sub test_recall
 		my $actual = $node->safe_psql("postgres", qq(
 			SET enable_seqscan = off;
 			SET ivfflat.probes = $probes;
-			SET ivfflat.iterative_search = relaxed_order;
+			SET ivfflat.iterative_scan = relaxed_order;
 			SELECT i FROM tst WHERE i % $c = 0 ORDER BY v $operator '$queries[$i]' LIMIT $limit;
 		));
 		my @actual_ids = split("\n", $actual);

test/t/043_hnsw_iterative_scan.pl

@@ -26,8 +26,9 @@ $node->safe_psql("postgres", qq(
 
 my $count = $node->safe_psql("postgres", qq(
 	SET enable_seqscan = off;
-	SET hnsw.iterative_search = relaxed_order;
+	SET hnsw.iterative_scan = relaxed_order;
-	SET work_mem = '8MB';
+	SET hnsw.max_scan_tuples = 100000;
+	SET hnsw.scan_mem_multiplier = 2;
 	SELECT COUNT(*) FROM (SELECT v FROM tst WHERE i % 10000 = 0 ORDER BY v <-> (SELECT v FROM tst LIMIT 1) LIMIT 11) t;
 ));
 is($count, 10);
@@ -42,9 +43,9 @@ foreach ((30000, 50000, 70000))
 	{
 		$count = $node->safe_psql("postgres", qq(
 			SET enable_seqscan = off;
-			SET hnsw.iterative_search = relaxed_order;
+			SET hnsw.iterative_scan = relaxed_order;
-			SET hnsw.max_search_tuples = $max_tuples;
+			SET hnsw.max_scan_tuples = $max_tuples;
-			SET work_mem = '8MB';
+			SET hnsw.scan_mem_multiplier = 2;
 			SELECT COUNT(*) FROM (SELECT v FROM tst WHERE i % 10000 = 0 ORDER BY v <-> (SELECT v FROM tst WHERE i = $i) LIMIT 11) t;
 		));
 		$sum += $count;
@@ -55,13 +56,4 @@ foreach ((30000, 50000, 70000))
 	cmp_ok($avg, '<', $expected + 2);
 }
 
-my ($ret, $stdout, $stderr) = $node->psql("postgres", qq(
-	SET enable_seqscan = off;
-	SET hnsw.iterative_search = relaxed_order;
-	SET client_min_messages = debug1;
-	SET work_mem = '2MB';
-	SELECT COUNT(*) FROM (SELECT v FROM tst WHERE i % 10000 = 0 ORDER BY v <-> (SELECT v FROM tst LIMIT 1) LIMIT 11) t;
-));
-like($stderr, qr/hnsw index scan exceeded work_mem after \d+ tuples/);
-
 done_testing();

test/t/044_hnsw_iterative_scan_recall.pl

@@ -21,7 +21,7 @@ sub test_recall
 	my $explain = $node->safe_psql("postgres", qq(
 		SET enable_seqscan = off;
 		SET hnsw.ef_search = $ef_search;
-		SET hnsw.iterative_search = $mode;
+		SET hnsw.iterative_scan = $mode;
 		EXPLAIN ANALYZE SELECT i FROM tst WHERE i % $c = 0 ORDER BY v $operator '$queries[0]' LIMIT $limit;
 	));
 	like($explain, qr/Index Scan using idx on tst/);
@@ -31,7 +31,7 @@ sub test_recall
 		my $actual = $node->safe_psql("postgres", qq(
 			SET enable_seqscan = off;
 			SET hnsw.ef_search = $ef_search;
-			SET hnsw.iterative_search = $mode;
+			SET hnsw.iterative_scan = $mode;
 			SELECT i FROM tst WHERE i % $c = 0 ORDER BY v $operator '$queries[$i]' LIMIT $limit;
 		));
 		my @actual_ids = split("\n", $actual);

test/t/045_hnsw_intvec_build_recall.pl

@@ -1,132 +0,0 @@
-use strict;
-use warnings FATAL => 'all';
-use PostgreSQL::Test::Cluster;
-use PostgreSQL::Test::Utils;
-use Test::More;
-
-my $node;
-my @queries = ();
-my @expected;
-my $limit = 20;
-my $dim = 10;
-my $array_sql = join(",", ('(random() * 255)::int - 128') x $dim);
-
-sub test_recall
-{
-	my ($min, $operator) = @_;
-	my $correct = 0;
-	my $total = 0;
-
-	my $explain = $node->safe_psql("postgres", qq(
-		SET enable_seqscan = off;
-		EXPLAIN ANALYZE SELECT i FROM tst ORDER BY v $operator '$queries[0]' LIMIT $limit;
-	));
-	like($explain, qr/Index Scan/);
-
-	for my $i (0 .. $#queries)
-	{
-		my $actual = $node->safe_psql("postgres", qq(
-			SET enable_seqscan = off;
-			SELECT i FROM tst ORDER BY v $operator '$queries[$i]' LIMIT $limit;
-		));
-		my @actual_ids = split("\n", $actual);
-		my %actual_set = map { $_ => 1 } @actual_ids;
-
-		my @expected_ids = split("\n", $expected[$i]);
-
-		foreach (@expected_ids)
-		{
-			if (exists($actual_set{$_}))
-			{
-				$correct++;
-			}
-			$total++;
-		}
-	}
-
-	cmp_ok($correct / $total, ">=", $min, $operator);
-}
-
-# Initialize node
-$node = PostgreSQL::Test::Cluster->new('node');
-$node->init;
-$node->start;
-
-# Create table
-$node->safe_psql("postgres", "CREATE EXTENSION vector;");
-$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v intvec($dim));");
-$node->safe_psql("postgres",
-	"INSERT INTO tst SELECT i, ARRAY[$array_sql] FROM generate_series(1, 10000) i;"
-);
-
-# Generate queries
-for (1 .. 20)
-{
-	my @r = ();
-	for (1 .. $dim)
-	{
-		push(@r, int(rand(256)) - 128);
-	}
-	push(@queries, "[" . join(",", @r) . "]");
-}
-
-# Check each index type
-my @operators = ("<->", "<#>", "<=>", "<+>");
-my @opclasses = ("intvec_l2_ops", "intvec_ip_ops", "intvec_cosine_ops", "intvec_l1_ops");
-
-for my $i (0 .. $#operators)
-{
-	my $operator = $operators[$i];
-	my $opclass = $opclasses[$i];
-
-	# Get exact results
-	@expected = ();
-	foreach (@queries)
-	{
-		my $res = $node->safe_psql("postgres", "SELECT i FROM tst ORDER BY v $operator '$_' LIMIT $limit;");
-		push(@expected, $res);
-	}
-
-	# Build index serially
-	$node->safe_psql("postgres", qq(
-		SET max_parallel_maintenance_workers = 0;
-		CREATE INDEX idx ON tst USING hnsw (v $opclass);
-	));
-
-	# Test approximate results
-	my $min = 0.98;
-	test_recall($min, $operator);
-
-	$node->safe_psql("postgres", "DROP INDEX idx;");
-
-	# Build index in parallel in memory
-	my ($ret, $stdout, $stderr) = $node->psql("postgres", qq(
-		SET client_min_messages = DEBUG;
-		SET min_parallel_table_scan_size = 1;
-		CREATE INDEX idx ON tst USING hnsw (v $opclass);
-	));
-	is($ret, 0, $stderr);
-	like($stderr, qr/using \d+ parallel workers/);
-
-	# Test approximate results
-	test_recall($min, $operator);
-
-	$node->safe_psql("postgres", "DROP INDEX idx;");
-
-	# Build index in parallel on disk
-	# Set parallel_workers on table to use workers with low maintenance_work_mem
-	($ret, $stdout, $stderr) = $node->psql("postgres", qq(
-		ALTER TABLE tst SET (parallel_workers = 2);
-		SET client_min_messages = DEBUG;
-		SET maintenance_work_mem = '4MB';
-		CREATE INDEX idx ON tst USING hnsw (v $opclass);
-		ALTER TABLE tst RESET (parallel_workers);
-	));
-	is($ret, 0, $stderr);
-	like($stderr, qr/using \d+ parallel workers/);
-	like($stderr, qr/hnsw graph no longer fits into maintenance_work_mem/);
-
-	$node->safe_psql("postgres", "DROP INDEX idx;");
-}
-
-done_testing();

test/t/046_hnsw_intvec_insert_recall.pl

@@ -1,113 +0,0 @@
-use strict;
-use warnings FATAL => 'all';
-use PostgreSQL::Test::Cluster;
-use PostgreSQL::Test::Utils;
-use Test::More;
-
-my $node;
-my @queries = ();
-my @expected;
-my $limit = 20;
-my $dim = 10;
-my $array_sql = join(",", ('(random() * 255)::int - 128') x $dim);
-
-sub test_recall
-{
-	my ($min, $operator) = @_;
-	my $correct = 0;
-	my $total = 0;
-
-	my $explain = $node->safe_psql("postgres", qq(
-		SET enable_seqscan = off;
-		EXPLAIN ANALYZE SELECT i FROM tst ORDER BY v $operator '$queries[0]' LIMIT $limit;
-	));
-	like($explain, qr/Index Scan/);
-
-	for my $i (0 .. $#queries)
-	{
-		my $actual = $node->safe_psql("postgres", qq(
-			SET enable_seqscan = off;
-			SELECT i FROM tst ORDER BY v $operator '$queries[$i]' LIMIT $limit;
-		));
-		my @actual_ids = split("\n", $actual);
-		my %actual_set = map { $_ => 1 } @actual_ids;
-
-		my @expected_ids = split("\n", $expected[$i]);
-
-		foreach (@expected_ids)
-		{
-			if (exists($actual_set{$_}))
-			{
-				$correct++;
-			}
-			$total++;
-		}
-	}
-
-	cmp_ok($correct / $total, ">=", $min, $operator);
-}
-
-# Initialize node
-$node = PostgreSQL::Test::Cluster->new('node');
-$node->init;
-$node->start;
-
-# Create table
-$node->safe_psql("postgres", "CREATE EXTENSION vector;");
-$node->safe_psql("postgres", "CREATE TABLE tst (i serial, v intvec($dim));");
-
-# Generate queries
-for (1 .. 20)
-{
-	my @r = ();
-	for (1 .. $dim)
-	{
-		push(@r, int(rand(256)) - 128);
-	}
-	push(@queries, "[" . join(",", @r) . "]");
-}
-
-# Check each index type
-my @operators = ("<->", "<#>", "<=>", "<+>");
-my @opclasses = ("intvec_l2_ops", "intvec_ip_ops", "intvec_cosine_ops", "intvec_l1_ops");
-
-for my $i (0 .. $#operators)
-{
-	my $operator = $operators[$i];
-	my $opclass = $opclasses[$i];
-
-	# Add index
-	$node->safe_psql("postgres", "CREATE INDEX idx ON tst USING hnsw (v $opclass);");
-
-	# Use concurrent inserts
-	$node->pgbench(
-		"--no-vacuum --client=10 --transactions=1000",
-		0,
-		[qr{actually processed}],
-		[qr{^$}],
-		"concurrent INSERTs",
-		{
-			"040_hnsw_intvec_insert_recall_$opclass" => "INSERT INTO tst (v) VALUES (ARRAY[$array_sql]);"
-		}
-	);
-
-	# Get exact results
-	@expected = ();
-	foreach (@queries)
-	{
-		my $res = $node->safe_psql("postgres", qq(
-			SET enable_indexscan = off;
-			SELECT i FROM tst ORDER BY v $operator '$_' LIMIT $limit;
-		));
-		push(@expected, $res);
-	}
-
-	# Test approximate results
-	my $min = 0.98;
-	test_recall($min, $operator);
-
-	$node->safe_psql("postgres", "DROP INDEX idx;");
-	$node->safe_psql("postgres", "TRUNCATE tst;");
-}
-
-done_testing();

test/t/047_hnsw_intvec_vacuum_recall.pl

@@ -1,101 +0,0 @@
-use strict;
-use warnings FATAL => 'all';
-use PostgreSQL::Test::Cluster;
-use PostgreSQL::Test::Utils;
-use Test::More;
-
-my $node;
-my @queries = ();
-my @expected;
-my $limit = 20;
-my $dim = 10;
-my $array_sql = join(",", ('(random() * 255)::int - 128') x $dim);
-
-sub test_recall
-{
-	my ($min, $ef_search, $test_name) = @_;
-	my $correct = 0;
-	my $total = 0;
-
-	my $explain = $node->safe_psql("postgres", qq(
-		SET enable_seqscan = off;
-		SET hnsw.ef_search = $ef_search;
-		EXPLAIN ANALYZE SELECT i FROM tst ORDER BY v <-> '$queries[0]' LIMIT $limit;
-	));
-	like($explain, qr/Index Scan/);
-
-	for my $i (0 .. $#queries)
-	{
-		my $actual = $node->safe_psql("postgres", qq(
-			SET enable_seqscan = off;
-			SET hnsw.ef_search = $ef_search;
-			SELECT i FROM tst ORDER BY v <-> '$queries[$i]' LIMIT $limit;
-		));
-		my @actual_ids = split("\n", $actual);
-		my %actual_set = map { $_ => 1 } @actual_ids;
-
-		my @expected_ids = split("\n", $expected[$i]);
-
-		foreach (@expected_ids)
-		{
-			if (exists($actual_set{$_}))
-			{
-				$correct++;
-			}
-			$total++;
-		}
-	}
-
-	cmp_ok($correct / $total, ">=", $min, $test_name);
-}
-
-# Initialize node
-$node = PostgreSQL::Test::Cluster->new('node');
-$node->init;
-$node->start;
-
-# Create table
-$node->safe_psql("postgres", "CREATE EXTENSION vector;");
-$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v intvec($dim));");
-$node->safe_psql("postgres", "ALTER TABLE tst SET (autovacuum_enabled = false);");
-$node->safe_psql("postgres",
-	"INSERT INTO tst SELECT i, ARRAY[$array_sql] FROM generate_series(1, 10000) i;"
-);
-
-# Add index
-$node->safe_psql("postgres", "CREATE INDEX ON tst USING hnsw (v intvec_l2_ops) WITH (m = 4, ef_construction = 8);");
-
-# Delete data
-$node->safe_psql("postgres", "DELETE FROM tst WHERE i > 2500;");
-
-# Generate queries
-for (1 .. 20)
-{
-	my @r = ();
-	for (1 .. $dim)
-	{
-		push(@r, int(rand(256)) - 128);
-	}
-	push(@queries, "[" . join(",", @r) . "]");
-}
-
-# Get exact results
-@expected = ();
-foreach (@queries)
-{
-	my $res = $node->safe_psql("postgres", qq(
-		SET enable_indexscan = off;
-		SELECT i FROM tst ORDER BY v <-> '$_' LIMIT $limit;
-	));
-	push(@expected, $res);
-}
-
-test_recall(0.18, $limit, "before vacuum");
-test_recall(0.84, 100, "before vacuum");
-
-# TODO Test concurrent inserts with vacuum
-$node->safe_psql("postgres", "VACUUM tst;");
-
-test_recall(0.84, $limit, "after vacuum");
-
-done_testing();

test/t/048_hnsw_intvec_duplicates.pl

@@ -1,58 +0,0 @@
-use strict;
-use warnings FATAL => 'all';
-use PostgreSQL::Test::Cluster;
-use PostgreSQL::Test::Utils;
-use Test::More;
-
-# Initialize node
-my $node = PostgreSQL::Test::Cluster->new('node');
-$node->init;
-$node->start;
-
-# Create table
-$node->safe_psql("postgres", "CREATE EXTENSION vector;");
-$node->safe_psql("postgres", "CREATE TABLE tst (v intvec(3));");
-
-sub insert_vectors
-{
-	for my $i (1 .. 20)
-	{
-		$node->safe_psql("postgres", "INSERT INTO tst VALUES ('[1,1,1]');");
-	}
-}
-
-sub test_duplicates
-{
-	my $res = $node->safe_psql("postgres", qq(
-		SET enable_seqscan = off;
-		SET hnsw.ef_search = 1;
-		SELECT COUNT(*) FROM (SELECT * FROM tst ORDER BY v <-> '[1,1,1]') t;
-	));
-	is($res, 10);
-}
-
-# Test duplicates with build
-insert_vectors();
-$node->safe_psql("postgres", "CREATE INDEX idx ON tst USING hnsw (v intvec_l2_ops);");
-test_duplicates();
-
-# Reset
-$node->safe_psql("postgres", "TRUNCATE tst;");
-
-# Test duplicates with inserts
-insert_vectors();
-test_duplicates();
-
-# Test fallback path for inserts
-$node->pgbench(
-	"--no-vacuum --client=5 --transactions=100",
-	0,
-	[qr{actually processed}],
-	[qr{^$}],
-	"concurrent INSERTs",
-	{
-		"042_hnsw_intvec_duplicates" => "INSERT INTO tst VALUES ('[1,1,1]');"
-	}
-);
-
-done_testing();

vector.control

@@ -1,4 +1,4 @@
 comment = 'vector data type and ivfflat and hnsw access methods'
-default_version = '0.7.4'
+default_version = '0.8.0'
 module_pathname = '$libdir/vector'
 relocatable = true