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db3755a58f |
38
.github/workflows/build.yml
vendored
38
.github/workflows/build.yml
vendored
@@ -23,14 +23,14 @@ jobs:
|
||||
- postgres: 13
|
||||
os: ubuntu-22.04
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- uses: actions/checkout@v5
|
||||
- uses: ankane/setup-postgres@v1
|
||||
with:
|
||||
postgres-version: ${{ matrix.postgres }}
|
||||
dev-files: true
|
||||
- run: make
|
||||
env:
|
||||
PG_CFLAGS: ${{ matrix.postgres >= 18 && '-Wno-missing-field-initializers' || '' }} -DUSE_ASSERT_CHECKING -Wall -Wextra -Werror -Wno-unused-parameter -Wno-sign-compare
|
||||
PG_CFLAGS: -DUSE_ASSERT_CHECKING -Wall -Wextra -Werror -Wno-unused-parameter -Wno-sign-compare ${{ matrix.postgres >= 18 && '-Wno-missing-field-initializers' || '' }}
|
||||
- run: |
|
||||
export PG_CONFIG=`which pg_config`
|
||||
sudo --preserve-env=PG_CONFIG make install
|
||||
@@ -48,18 +48,18 @@ jobs:
|
||||
fail-fast: false
|
||||
matrix:
|
||||
include:
|
||||
- postgres: 17
|
||||
os: macos-15
|
||||
- postgres: 18
|
||||
os: macos-26
|
||||
- postgres: 14
|
||||
os: macos-13
|
||||
os: macos-15-intel
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- uses: actions/checkout@v5
|
||||
- uses: ankane/setup-postgres@v1
|
||||
with:
|
||||
postgres-version: ${{ matrix.postgres }}
|
||||
- run: make
|
||||
env:
|
||||
PG_CFLAGS: -DUSE_ASSERT_CHECKING -Wall -Wextra -Werror -Wno-unused-parameter -Wno-unknown-warning-option
|
||||
PG_CFLAGS: -DUSE_ASSERT_CHECKING -Wall -Wextra -Werror -Wno-unused-parameter -Wno-unknown-warning-option ${{ matrix.postgres >= 18 && '-Wno-missing-field-initializers' || '' }}
|
||||
- run: make install
|
||||
- run: make installcheck
|
||||
- if: ${{ failure() }}
|
||||
@@ -72,27 +72,35 @@ jobs:
|
||||
tar xf $TAG.tar.gz
|
||||
mv postgres-$TAG postgres
|
||||
env:
|
||||
TAG: ${{ matrix.postgres == 17 && 'REL_17_2' || 'REL_14_15' }}
|
||||
TAG: ${{ matrix.postgres == 18 && 'REL_18_0' || 'REL_14_19' }}
|
||||
- run: make prove_installcheck PROVE_FLAGS="-I ./postgres/src/test/perl -I ./test/perl"
|
||||
env:
|
||||
PERL5LIB: /Users/runner/perl5/lib/perl5
|
||||
- run: make clean && $(brew --prefix llvm@$LLVM_VERSION)/bin/scan-build --status-bugs make
|
||||
env:
|
||||
LLVM_VERSION: ${{ matrix.os == 'macos-15' && 18 || 15 }}
|
||||
LLVM_VERSION: ${{ matrix.os == 'macos-26' && 20 || 18 }}
|
||||
PG_CFLAGS: -DUSE_ASSERT_CHECKING
|
||||
windows:
|
||||
runs-on: windows-latest
|
||||
runs-on: ${{ matrix.os }}
|
||||
if: ${{ !startsWith(github.ref_name, 'mac') }}
|
||||
strategy:
|
||||
fail-fast: false
|
||||
matrix:
|
||||
include:
|
||||
- postgres: 17
|
||||
os: windows-2025
|
||||
- postgres: 14
|
||||
os: windows-2022
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- uses: actions/checkout@v5
|
||||
- uses: ankane/setup-postgres@v1
|
||||
with:
|
||||
postgres-version: 14
|
||||
postgres-version: ${{ matrix.postgres }}
|
||||
- run: |
|
||||
call "C:\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Auxiliary\Build\vcvars64.bat" && ^
|
||||
nmake /NOLOGO /F Makefile.win && ^
|
||||
nmake /NOLOGO /F Makefile.win install && ^
|
||||
nmake /NOLOGO /F Makefile.win installcheck && ^
|
||||
nmake /NOLOGO /F Makefile.win installcheck ${{ matrix.postgres != 17 && 'PG_REGRESS=$(PGROOT)\bin\pg_regress' || '' }} && ^
|
||||
nmake /NOLOGO /F Makefile.win clean && ^
|
||||
nmake /NOLOGO /F Makefile.win uninstall
|
||||
shell: cmd
|
||||
@@ -125,10 +133,10 @@ jobs:
|
||||
if: ${{ !startsWith(github.ref_name, 'mac') && !startsWith(github.ref_name, 'windows') }}
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- uses: actions/checkout@v5
|
||||
- uses: ankane/setup-postgres-valgrind@v1
|
||||
with:
|
||||
postgres-version: 17
|
||||
postgres-version: 18
|
||||
check-ub: yes
|
||||
- run: make OPTFLAGS=""
|
||||
- run: sudo --preserve-env=PG_CONFIG make install
|
||||
|
||||
@@ -1,3 +1,12 @@
|
||||
## 0.9.0 (unreleased)
|
||||
|
||||
- Added support for inline filtering with HNSW
|
||||
|
||||
## 0.8.2 (unreleased)
|
||||
|
||||
- Improved `install` target on Windows
|
||||
- Fixed `Index Searches` in `EXPLAIN` output for Postgres 18
|
||||
|
||||
## 0.8.1 (2025-09-04)
|
||||
|
||||
- Added support for Postgres 18 rc1
|
||||
|
||||
@@ -31,6 +31,9 @@ LIBDIR = $(PGROOT)\lib
|
||||
PKGLIBDIR = $(PGROOT)\lib
|
||||
SHAREDIR = $(PGROOT)\share
|
||||
|
||||
# Use $(PGROOT)\bin\pg_regress for Postgres < 17
|
||||
PG_REGRESS = $(LIBDIR)\pgxs\src\test\regress\pg_regress
|
||||
|
||||
CFLAGS = /nologo /I"$(INCLUDEDIR_SERVER)\port\win32_msvc" /I"$(INCLUDEDIR_SERVER)\port\win32" /I"$(INCLUDEDIR_SERVER)" /I"$(INCLUDEDIR)"
|
||||
|
||||
CFLAGS = $(CFLAGS) $(PG_CFLAGS)
|
||||
@@ -54,11 +57,11 @@ install: all
|
||||
copy $(SHLIB) "$(PKGLIBDIR)"
|
||||
copy $(EXTENSION).control "$(SHAREDIR)\extension"
|
||||
copy sql\$(EXTENSION)--*.sql "$(SHAREDIR)\extension"
|
||||
mkdir "$(INCLUDEDIR_SERVER)\extension\$(EXTENSION)"
|
||||
if not exist "$(INCLUDEDIR_SERVER)\extension\$(EXTENSION)" mkdir "$(INCLUDEDIR_SERVER)\extension\$(EXTENSION)"
|
||||
for %f in ($(HEADERS)) do copy %f "$(INCLUDEDIR_SERVER)\extension\$(EXTENSION)"
|
||||
|
||||
installcheck:
|
||||
"$(BINDIR)\pg_regress" --bindir="$(BINDIR)" $(REGRESS_OPTS) $(REGRESS)
|
||||
"$(PG_REGRESS)" --bindir="$(BINDIR)" $(REGRESS_OPTS) $(REGRESS)
|
||||
|
||||
uninstall:
|
||||
del /f "$(PKGLIBDIR)\$(SHLIB)"
|
||||
|
||||
64
README.md
64
README.md
@@ -29,14 +29,14 @@ make install # may need sudo
|
||||
|
||||
See the [installation notes](#installation-notes---linux-and-mac) if you run into issues
|
||||
|
||||
You can also install it with [Docker](#docker), [Homebrew](#homebrew), [PGXN](#pgxn), [APT](#apt), [Yum](#yum), [pkg](#pkg), or [conda-forge](#conda-forge), and it comes preinstalled with [Postgres.app](#postgresapp) and many [hosted providers](#hosted-postgres). There are also instructions for [GitHub Actions](https://github.com/pgvector/setup-pgvector).
|
||||
You can also install it with [Docker](#docker), [Homebrew](#homebrew), [PGXN](#pgxn), [APT](#apt), [Yum](#yum), [pkg](#pkg), [APK](#apk), or [conda-forge](#conda-forge), and it comes preinstalled with [Postgres.app](#postgresapp) and many [hosted providers](#hosted-postgres). There are also instructions for [GitHub Actions](https://github.com/pgvector/setup-pgvector).
|
||||
|
||||
### 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 `x64 Native Tools Command Prompt for VS [version]` as administrator. Then use `nmake` to build:
|
||||
|
||||
```cmd
|
||||
set "PGROOT=C:\Program Files\PostgreSQL\17"
|
||||
set "PGROOT=C:\Program Files\PostgreSQL\18"
|
||||
cd %TEMP%
|
||||
git clone --branch v0.8.1 https://github.com/pgvector/pgvector.git
|
||||
cd pgvector
|
||||
@@ -467,6 +467,12 @@ If filtering by many different values, consider [partitioning](https://www.postg
|
||||
CREATE TABLE items (embedding vector(3), category_id int) PARTITION BY LIST(category_id);
|
||||
```
|
||||
|
||||
Or a composite HNSW index (added in 0.9.0)
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING hnsw (embedding vector_l2_ops, category_id);
|
||||
```
|
||||
|
||||
## Iterative Index Scans
|
||||
|
||||
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`).
|
||||
@@ -695,10 +701,10 @@ CREATE INDEX CONCURRENTLY ...
|
||||
|
||||
### Querying
|
||||
|
||||
Use `EXPLAIN ANALYZE` to debug performance.
|
||||
Use `EXPLAIN (ANALYZE, BUFFERS)` to debug performance.
|
||||
|
||||
```sql
|
||||
EXPLAIN ANALYZE SELECT * FROM items ORDER BY embedding <-> '[3,1,2]' LIMIT 5;
|
||||
EXPLAIN (ANALYZE, BUFFERS) SELECT * FROM items ORDER BY embedding <-> '[3,1,2]' LIMIT 5;
|
||||
```
|
||||
|
||||
#### Exact Search
|
||||
@@ -771,6 +777,8 @@ Use pgvector from any language with a Postgres client. You can even generate and
|
||||
|
||||
Language | Libraries / Examples
|
||||
--- | ---
|
||||
Ada | [pgvector-ada](https://github.com/pgvector/pgvector-ada)
|
||||
Algol | [pgvector-algol](https://github.com/pgvector/pgvector-algol)
|
||||
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)
|
||||
@@ -790,10 +798,13 @@ 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)
|
||||
OCaml | [pgvector-ocaml](https://github.com/pgvector/pgvector-ocaml)
|
||||
Pascal | [pgvector-pascal](https://github.com/pgvector/pgvector-pascal)
|
||||
Perl | [pgvector-perl](https://github.com/pgvector/pgvector-perl)
|
||||
PHP | [pgvector-php](https://github.com/pgvector/pgvector-php)
|
||||
Prolog | [pgvector-prolog](https://github.com/pgvector/pgvector-prolog)
|
||||
Python | [pgvector-python](https://github.com/pgvector/pgvector-python)
|
||||
R | [pgvector-r](https://github.com/pgvector/pgvector-r)
|
||||
Racket | [pgvector-racket](https://github.com/pgvector/pgvector-racket)
|
||||
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)
|
||||
@@ -812,7 +823,7 @@ Yes, pgvector uses the write-ahead log (WAL), which allows for replication and p
|
||||
|
||||
#### What if I want to index vectors with more than 2,000 dimensions?
|
||||
|
||||
You can use [half-precision indexing](#half-precision-indexing) to index up to 4,000 dimensions or [binary quantization](#binary-quantization) to index up to 64,000 dimensions. Another option is [dimensionality reduction](https://en.wikipedia.org/wiki/Dimensionality_reduction).
|
||||
You can use [half-precision vectors](#half-precision-vectors) or [half-precision indexing](#half-precision-indexing) to index up to 4,000 dimensions or [binary quantization](#binary-quantization) to index up to 64,000 dimensions. Other options are [indexing subvectors](#indexing-subvectors) (for models that support it) or [dimensionality reduction](https://en.wikipedia.org/wiki/Dimensionality_reduction).
|
||||
|
||||
#### Can I store vectors with different dimensions in the same column?
|
||||
|
||||
@@ -1064,7 +1075,7 @@ l2_normalize(sparsevec) → sparsevec | Normalize with Euclidean norm | 0.7.0
|
||||
If your machine has multiple Postgres installations, specify the path to [pg_config](https://www.postgresql.org/docs/current/app-pgconfig.html) with:
|
||||
|
||||
```sh
|
||||
export PG_CONFIG=/Library/PostgreSQL/17/bin/pg_config
|
||||
export PG_CONFIG=/Library/PostgreSQL/18/bin/pg_config
|
||||
```
|
||||
|
||||
Then re-run the installation instructions (run `make clean` before `make` if needed). If `sudo` is needed for `make install`, use:
|
||||
@@ -1075,11 +1086,11 @@ sudo --preserve-env=PG_CONFIG make install
|
||||
|
||||
A few common paths on Mac are:
|
||||
|
||||
- EDB installer - `/Library/PostgreSQL/17/bin/pg_config`
|
||||
- Homebrew (arm64) - `/opt/homebrew/opt/postgresql@17/bin/pg_config`
|
||||
- Homebrew (x86-64) - `/usr/local/opt/postgresql@17/bin/pg_config`
|
||||
- EDB installer - `/Library/PostgreSQL/18/bin/pg_config`
|
||||
- Homebrew (arm64) - `/opt/homebrew/opt/postgresql@18/bin/pg_config`
|
||||
- Homebrew (x86-64) - `/usr/local/opt/postgresql@18/bin/pg_config`
|
||||
|
||||
Note: Replace `17` with your Postgres server version
|
||||
Note: Replace `18` with your Postgres server version
|
||||
|
||||
### Missing Header
|
||||
|
||||
@@ -1088,10 +1099,10 @@ If compilation fails with `fatal error: postgres.h: No such file or directory`,
|
||||
For Ubuntu and Debian, use:
|
||||
|
||||
```sh
|
||||
sudo apt install postgresql-server-dev-17
|
||||
sudo apt install postgresql-server-dev-18
|
||||
```
|
||||
|
||||
Note: Replace `17` with your Postgres server version
|
||||
Note: Replace `18` with your Postgres server version
|
||||
|
||||
### Missing SDK
|
||||
|
||||
@@ -1138,13 +1149,15 @@ If installation fails with `Access is denied`, re-run the installation instructi
|
||||
Get the [Docker image](https://hub.docker.com/r/pgvector/pgvector) with:
|
||||
|
||||
```sh
|
||||
docker pull pgvector/pgvector:pg17-trixie
|
||||
docker pull pgvector/pgvector:pg18-trixie
|
||||
```
|
||||
|
||||
This adds pgvector to the [Postgres image](https://hub.docker.com/_/postgres) (replace `17` with your Postgres server version, and run it the same way).
|
||||
This adds pgvector to the [Postgres image](https://hub.docker.com/_/postgres) (replace `18` with your Postgres server version, and run it the same way).
|
||||
|
||||
Supported tags are:
|
||||
|
||||
- `pg18-trixie`, `0.8.1-pg18-trixie`
|
||||
- `pg18-bookworm`, `0.8.1-pg18-bookworm`, `pg18`, `0.8.1-pg18`
|
||||
- `pg17-trixie`, `0.8.1-pg17-trixie`
|
||||
- `pg17-bookworm`, `0.8.1-pg17-bookworm`, `pg17`, `0.8.1-pg17`
|
||||
- `pg16-trixie`, `0.8.1-pg16-trixie`
|
||||
@@ -1161,7 +1174,7 @@ You can also build the image manually:
|
||||
```sh
|
||||
git clone --branch v0.8.1 https://github.com/pgvector/pgvector.git
|
||||
cd pgvector
|
||||
docker build --pull --build-arg PG_MAJOR=17 -t myuser/pgvector .
|
||||
docker build --pull --build-arg PG_MAJOR=18 -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.
|
||||
@@ -1178,7 +1191,7 @@ With Homebrew Postgres, you can use:
|
||||
brew install pgvector
|
||||
```
|
||||
|
||||
Note: This only adds it to the `postgresql@17` and `postgresql@14` formulas
|
||||
Note: This only adds it to the `postgresql@18` and `postgresql@17` formulas
|
||||
|
||||
### PGXN
|
||||
|
||||
@@ -1193,22 +1206,22 @@ pgxn install vector
|
||||
Debian and Ubuntu packages are available from the [PostgreSQL APT Repository](https://wiki.postgresql.org/wiki/Apt). Follow the [setup instructions](https://wiki.postgresql.org/wiki/Apt#Quickstart) and run:
|
||||
|
||||
```sh
|
||||
sudo apt install postgresql-17-pgvector
|
||||
sudo apt install postgresql-18-pgvector
|
||||
```
|
||||
|
||||
Note: Replace `17` with your Postgres server version
|
||||
Note: Replace `18` with your Postgres server version
|
||||
|
||||
### Yum
|
||||
|
||||
RPM packages are available from the [PostgreSQL Yum Repository](https://yum.postgresql.org/). Follow the [setup instructions](https://www.postgresql.org/download/linux/redhat/) for your distribution and run:
|
||||
|
||||
```sh
|
||||
sudo yum install pgvector_17
|
||||
sudo yum install pgvector_18
|
||||
# or
|
||||
sudo dnf install pgvector_17
|
||||
sudo dnf install pgvector_18
|
||||
```
|
||||
|
||||
Note: Replace `17` with your Postgres server version
|
||||
Note: Replace `18` with your Postgres server version
|
||||
|
||||
### pkg
|
||||
|
||||
@@ -1225,6 +1238,14 @@ cd /usr/ports/databases/pgvector
|
||||
make install
|
||||
```
|
||||
|
||||
### APK
|
||||
|
||||
Install the Alpine package with:
|
||||
|
||||
```sh
|
||||
apk add postgresql-pgvector
|
||||
```
|
||||
|
||||
### conda-forge
|
||||
|
||||
With Conda Postgres, install from [conda-forge](https://anaconda.org/conda-forge/pgvector) with:
|
||||
@@ -1267,6 +1288,7 @@ Thanks to:
|
||||
- [k-means++: The Advantage of Careful Seeding](https://theory.stanford.edu/~sergei/papers/kMeansPP-soda.pdf)
|
||||
- [Concept Decompositions for Large Sparse Text Data using Clustering](https://www.cs.utexas.edu/users/inderjit/public_papers/concept_mlj.pdf)
|
||||
- [Efficient and Robust Approximate Nearest Neighbor Search using Hierarchical Navigable Small World Graphs](https://arxiv.org/ftp/arxiv/papers/1603/1603.09320.pdf)
|
||||
- [HQANN: Efficient and Robust Similarity Search for Hybrid Queries with Structured and Unstructured Constraints](https://arxiv.org/pdf/2207.07940.pdf)
|
||||
|
||||
## History
|
||||
|
||||
|
||||
10
sql/vector--0.8.1--0.9.0.sql
Normal file
10
sql/vector--0.8.1--0.9.0.sql
Normal file
@@ -0,0 +1,10 @@
|
||||
-- complain if script is sourced in psql, rather than via CREATE EXTENSION
|
||||
\echo Use "ALTER EXTENSION vector UPDATE TO '0.9.0'" to load this file. \quit
|
||||
|
||||
CREATE FUNCTION hnsw_attribute_distance(integer, integer) RETURNS float8
|
||||
AS 'MODULE_PATHNAME', 'hnsw_int4_attribute_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||
|
||||
CREATE OPERATOR CLASS vector_integer_ops
|
||||
DEFAULT FOR TYPE integer USING hnsw AS
|
||||
OPERATOR 2 = (integer, integer),
|
||||
FUNCTION 4 hnsw_attribute_distance(integer, integer);
|
||||
@@ -916,3 +916,13 @@ CREATE OPERATOR CLASS sparsevec_l1_ops
|
||||
OPERATOR 1 <+> (sparsevec, sparsevec) FOR ORDER BY float_ops,
|
||||
FUNCTION 1 l1_distance(sparsevec, sparsevec),
|
||||
FUNCTION 3 hnsw_sparsevec_support(internal);
|
||||
|
||||
-- hnsw attributes
|
||||
|
||||
CREATE FUNCTION hnsw_attribute_distance(integer, integer) RETURNS float8
|
||||
AS 'MODULE_PATHNAME', 'hnsw_int4_attribute_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||
|
||||
CREATE OPERATOR CLASS vector_integer_ops
|
||||
DEFAULT FOR TYPE integer USING hnsw AS
|
||||
OPERATOR 2 = (integer, integer),
|
||||
FUNCTION 4 hnsw_attribute_distance(integer, integer);
|
||||
|
||||
18
src/hnsw.c
18
src/hnsw.c
@@ -263,7 +263,7 @@ hnswhandler(PG_FUNCTION_ARGS)
|
||||
IndexAmRoutine *amroutine = makeNode(IndexAmRoutine);
|
||||
|
||||
amroutine->amstrategies = 0;
|
||||
amroutine->amsupport = 3;
|
||||
amroutine->amsupport = 4;
|
||||
amroutine->amoptsprocnum = 0;
|
||||
amroutine->amcanorder = false;
|
||||
amroutine->amcanorderbyop = true;
|
||||
@@ -274,7 +274,7 @@ hnswhandler(PG_FUNCTION_ARGS)
|
||||
#endif
|
||||
amroutine->amcanbackward = false; /* can change direction mid-scan */
|
||||
amroutine->amcanunique = false;
|
||||
amroutine->amcanmulticol = false;
|
||||
amroutine->amcanmulticol = true;
|
||||
amroutine->amoptionalkey = true;
|
||||
amroutine->amsearcharray = false;
|
||||
amroutine->amsearchnulls = false;
|
||||
@@ -334,3 +334,17 @@ hnswhandler(PG_FUNCTION_ARGS)
|
||||
|
||||
PG_RETURN_POINTER(amroutine);
|
||||
}
|
||||
|
||||
/*
|
||||
* Get the distance between two int4 attributes
|
||||
*/
|
||||
PGDLLEXPORT PG_FUNCTION_INFO_V1(hnsw_int4_attribute_distance);
|
||||
Datum
|
||||
hnsw_int4_attribute_distance(PG_FUNCTION_ARGS)
|
||||
{
|
||||
int32 a = PG_GETARG_INT32(0);
|
||||
int32 b = PG_GETARG_INT32(1);
|
||||
double distance = ((double) a) - ((double) b);
|
||||
|
||||
PG_RETURN_FLOAT8(distance);
|
||||
}
|
||||
|
||||
32
src/hnsw.h
32
src/hnsw.h
@@ -19,6 +19,7 @@
|
||||
#define HNSW_DISTANCE_PROC 1
|
||||
#define HNSW_NORM_PROC 2
|
||||
#define HNSW_TYPE_INFO_PROC 3
|
||||
#define HNSW_ATTRIBUTE_DISTANCE_PROC 4
|
||||
|
||||
#define HNSW_VERSION 1
|
||||
#define HNSW_MAGIC_NUMBER 0xA953A953
|
||||
@@ -107,6 +108,8 @@
|
||||
#define HnswPtrPointer(hp) (hp).ptr
|
||||
#define HnswPtrOffset(hp) relptr_offset((hp).relptr)
|
||||
|
||||
#define HnswUseIndexTuple(index) (IndexRelationGetNumberOfAttributes(index) > 1)
|
||||
|
||||
/* Variables */
|
||||
extern int hnsw_ef_search;
|
||||
extern int hnsw_iterative_scan;
|
||||
@@ -134,6 +137,7 @@ HnswPtrDeclare(HnswElementData, HnswElementRelptr, HnswElementPtr);
|
||||
HnswPtrDeclare(HnswNeighborArray, HnswNeighborArrayRelptr, HnswNeighborArrayPtr);
|
||||
HnswPtrDeclare(HnswNeighborArrayPtr, HnswNeighborsRelptr, HnswNeighborsPtr);
|
||||
HnswPtrDeclare(char, DatumRelptr, DatumPtr);
|
||||
HnswPtrDeclare(IndexTupleData, IndexTupleRelptr, IndexTuplePtr);
|
||||
|
||||
struct HnswElementData
|
||||
{
|
||||
@@ -150,6 +154,7 @@ struct HnswElementData
|
||||
OffsetNumber neighborOffno;
|
||||
BlockNumber neighborPage;
|
||||
DatumPtr value;
|
||||
IndexTuplePtr itup;
|
||||
LWLock lock;
|
||||
};
|
||||
|
||||
@@ -175,6 +180,7 @@ typedef struct HnswSearchCandidate
|
||||
pairingheap_node w_node;
|
||||
HnswElementPtr element;
|
||||
double distance;
|
||||
bool matches;
|
||||
} HnswSearchCandidate;
|
||||
|
||||
/* HNSW index options */
|
||||
@@ -253,14 +259,16 @@ typedef struct HnswTypeInfo
|
||||
|
||||
typedef struct HnswSupport
|
||||
{
|
||||
FmgrInfo *procinfo;
|
||||
FmgrInfo *procinfo[2];
|
||||
FmgrInfo *normprocinfo;
|
||||
Oid collation;
|
||||
Oid *collation;
|
||||
} HnswSupport;
|
||||
|
||||
typedef struct HnswQuery
|
||||
{
|
||||
Datum value;
|
||||
IndexTuple itup;
|
||||
ScanKeyData *keyData;
|
||||
} HnswQuery;
|
||||
|
||||
typedef struct HnswBuildState
|
||||
@@ -289,6 +297,8 @@ typedef struct HnswBuildState
|
||||
HnswGraph *graph;
|
||||
double ml;
|
||||
int maxLevel;
|
||||
bool useIndexTuple;
|
||||
TupleDesc tupdesc;
|
||||
|
||||
/* Memory */
|
||||
MemoryContext graphCtx;
|
||||
@@ -417,30 +427,32 @@ 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, bool inMemory, visited_hash * v, pairingheap **discarded, bool initVisited, int64 *tuples);
|
||||
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);
|
||||
HnswSearchCandidate *HnswEntryCandidate(char *base, HnswElement em, HnswQuery * q, Relation rel, HnswSupport * support, bool loadVec);
|
||||
void HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint, Relation index, HnswSupport * support, int m, int efConstruction, bool existing, bool inMemory);
|
||||
HnswSearchCandidate *HnswEntryCandidate(char *base, HnswElement em, HnswQuery * q, Relation rel, HnswSupport * support, bool loadVec, bool inMemory);
|
||||
void HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum, bool building);
|
||||
void HnswSetNeighborTuple(char *base, HnswNeighborTuple ntup, HnswElement e, int m);
|
||||
void HnswAddHeapTid(HnswElement element, ItemPointer heaptid);
|
||||
HnswNeighborArray *HnswInitNeighborArray(int lm, HnswAllocator * allocator);
|
||||
void HnswInitNeighbors(char *base, HnswElement element, int m, HnswAllocator * alloc);
|
||||
bool HnswInsertTupleOnDisk(Relation index, HnswSupport * support, Datum value, ItemPointer heaptid, bool building);
|
||||
bool HnswInsertTupleOnDisk(Relation index, HnswSupport * support, IndexTuple itup, ItemPointer heaptid, bool building, TupleDesc tupdesc);
|
||||
void HnswUpdateNeighborsOnDisk(Relation index, HnswSupport * support, HnswElement e, int m, bool checkExisting, bool building);
|
||||
void HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHeaptids, bool loadVec);
|
||||
void HnswLoadElement(HnswElement element, double *distance, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance);
|
||||
bool HnswFormIndexValue(Datum *out, Datum *values, bool *isnull, const HnswTypeInfo * typeInfo, HnswSupport * support);
|
||||
void HnswSetElementTuple(char *base, HnswElementTuple etup, HnswElement element);
|
||||
void HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHeaptids, bool loadVec, Relation index);
|
||||
void HnswLoadElement(HnswElement element, double *distance, bool *matches, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance);
|
||||
void HnswSetElementTuple(char *base, HnswElementTuple etup, HnswElement element, bool useIndexTuple);
|
||||
void HnswUpdateConnection(char *base, HnswNeighborArray * neighbors, HnswElement newElement, float distance, int lm, int *updateIdx, Relation index, HnswSupport * support);
|
||||
bool HnswFormIndexTuple(IndexTuple *out, Datum *values, bool *isnull, const HnswTypeInfo * typeInfo, HnswSupport * support, TupleDesc tupdesc);
|
||||
bool HnswLoadNeighborTids(HnswElement element, ItemPointerData *indextids, Relation index, int m, int lm, int lc);
|
||||
void HnswInitLockTranche(void);
|
||||
const HnswTypeInfo *HnswGetTypeInfo(Relation index);
|
||||
PGDLLEXPORT void HnswParallelBuildMain(dsm_segment *seg, shm_toc *toc);
|
||||
Size HnswGetElementTupleSize(char *base, HnswElement element, bool useIndexTuple);
|
||||
bool HnswIndexTupleIsEqual(IndexTuple a, IndexTuple b, TupleDesc tupdesc);
|
||||
|
||||
/* Index access methods */
|
||||
IndexBuildResult *hnswbuild(Relation heap, Relation index, IndexInfo *indexInfo);
|
||||
|
||||
@@ -54,6 +54,10 @@
|
||||
#include "utils/datum.h"
|
||||
#include "utils/memutils.h"
|
||||
|
||||
#if PG_VERSION_NUM >= 160000
|
||||
#include "varatt.h"
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM >= 140000
|
||||
#include "utils/backend_progress.h"
|
||||
#else
|
||||
@@ -148,6 +152,7 @@ CreateGraphPages(HnswBuildState * buildstate)
|
||||
Page page;
|
||||
HnswElementPtr iter = buildstate->graph->head;
|
||||
char *base = buildstate->hnswarea;
|
||||
bool useIndexTuple = buildstate->useIndexTuple;
|
||||
|
||||
/* Calculate sizes */
|
||||
maxSize = HNSW_MAX_SIZE;
|
||||
@@ -167,7 +172,6 @@ CreateGraphPages(HnswBuildState * buildstate)
|
||||
Size etupSize;
|
||||
Size ntupSize;
|
||||
Size combinedSize;
|
||||
Pointer valuePtr = HnswPtrAccess(base, element->value);
|
||||
|
||||
/* Update iterator */
|
||||
iter = element->next;
|
||||
@@ -176,7 +180,7 @@ CreateGraphPages(HnswBuildState * buildstate)
|
||||
MemSet(etup, 0, HNSW_TUPLE_ALLOC_SIZE);
|
||||
|
||||
/* Calculate sizes */
|
||||
etupSize = HNSW_ELEMENT_TUPLE_SIZE(VARSIZE_ANY(valuePtr));
|
||||
etupSize = HnswGetElementTupleSize(base, element, useIndexTuple);
|
||||
ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(element->level, buildstate->m);
|
||||
combinedSize = etupSize + ntupSize + sizeof(ItemIdData);
|
||||
|
||||
@@ -186,7 +190,7 @@ CreateGraphPages(HnswBuildState * buildstate)
|
||||
(errcode(ERRCODE_PROGRAM_LIMIT_EXCEEDED),
|
||||
errmsg("index tuple too large")));
|
||||
|
||||
HnswSetElementTuple(base, etup, element);
|
||||
HnswSetElementTuple(base, etup, element, useIndexTuple);
|
||||
|
||||
/* Keep element and neighbors on the same page if possible */
|
||||
if (PageGetFreeSpace(page) < etupSize || (combinedSize <= maxSize && PageGetFreeSpace(page) < combinedSize))
|
||||
@@ -327,19 +331,18 @@ AddDuplicateInMemory(HnswElement element, HnswElement dup)
|
||||
* Find duplicate element
|
||||
*/
|
||||
static bool
|
||||
FindDuplicateInMemory(char *base, HnswElement element)
|
||||
FindDuplicateInMemory(char *base, HnswElement element, bool useIndexTuple, TupleDesc tupdesc)
|
||||
{
|
||||
HnswNeighborArray *neighbors = HnswGetNeighbors(base, element, 0);
|
||||
Datum value = HnswGetValue(base, element);
|
||||
IndexTuple itup = HnswPtrAccess(base, element->itup);
|
||||
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
{
|
||||
HnswCandidate *neighbor = &neighbors->items[i];
|
||||
HnswElement neighborElement = HnswPtrAccess(base, neighbor->element);
|
||||
Datum neighborValue = HnswGetValue(base, neighborElement);
|
||||
|
||||
/* Exit early since ordered by distance */
|
||||
if (!datumIsEqual(value, neighborValue, false, -1))
|
||||
if (!HnswIndexTupleIsEqual(itup, HnswPtrAccess(base, neighborElement->itup), tupdesc))
|
||||
return false;
|
||||
|
||||
/* Check for space */
|
||||
@@ -366,7 +369,7 @@ AddElementInMemory(char *base, HnswGraph * graph, HnswElement element)
|
||||
* Update neighbors
|
||||
*/
|
||||
static void
|
||||
UpdateNeighborsInMemory(char *base, HnswSupport * support, HnswElement e, int m)
|
||||
UpdateNeighborsInMemory(char *base, Relation index, HnswSupport * support, HnswElement e, int m)
|
||||
{
|
||||
for (int lc = e->level; lc >= 0; lc--)
|
||||
{
|
||||
@@ -388,7 +391,7 @@ UpdateNeighborsInMemory(char *base, HnswSupport * support, HnswElement e, int m)
|
||||
Assert(neighborElement);
|
||||
|
||||
LWLockAcquire(&neighborElement->lock, LW_EXCLUSIVE);
|
||||
HnswUpdateConnection(base, HnswGetNeighbors(base, neighborElement, lc), e, hc->distance, lm, NULL, NULL, support);
|
||||
HnswUpdateConnection(base, HnswGetNeighbors(base, neighborElement, lc), e, hc->distance, lm, NULL, index, support);
|
||||
LWLockRelease(&neighborElement->lock);
|
||||
}
|
||||
}
|
||||
@@ -398,20 +401,20 @@ UpdateNeighborsInMemory(char *base, HnswSupport * support, HnswElement e, int m)
|
||||
* Update graph in memory
|
||||
*/
|
||||
static void
|
||||
UpdateGraphInMemory(HnswSupport * support, HnswElement element, int m, int efConstruction, HnswElement entryPoint, HnswBuildState * buildstate)
|
||||
UpdateGraphInMemory(HnswSupport * support, HnswElement element, int m, HnswElement entryPoint, HnswBuildState * buildstate)
|
||||
{
|
||||
HnswGraph *graph = buildstate->graph;
|
||||
char *base = buildstate->hnswarea;
|
||||
|
||||
/* Look for duplicate */
|
||||
if (FindDuplicateInMemory(base, element))
|
||||
if (FindDuplicateInMemory(base, element, buildstate->useIndexTuple, buildstate->tupdesc))
|
||||
return;
|
||||
|
||||
/* Add element */
|
||||
AddElementInMemory(base, graph, element);
|
||||
|
||||
/* Update neighbors */
|
||||
UpdateNeighborsInMemory(base, support, element, m);
|
||||
UpdateNeighborsInMemory(base, buildstate->index, support, element, m);
|
||||
|
||||
/* Update entry point if needed (already have lock) */
|
||||
if (entryPoint == NULL || element->level > entryPoint->level)
|
||||
@@ -424,6 +427,7 @@ UpdateGraphInMemory(HnswSupport * support, HnswElement element, int m, int efCon
|
||||
static void
|
||||
InsertTupleInMemory(HnswBuildState * buildstate, HnswElement element)
|
||||
{
|
||||
Relation index = buildstate->index;
|
||||
HnswGraph *graph = buildstate->graph;
|
||||
HnswSupport *support = &buildstate->support;
|
||||
HnswElement entryPoint;
|
||||
@@ -457,10 +461,10 @@ InsertTupleInMemory(HnswBuildState * buildstate, HnswElement element)
|
||||
}
|
||||
|
||||
/* Find neighbors for element */
|
||||
HnswFindElementNeighbors(base, element, entryPoint, NULL, support, m, efConstruction, false);
|
||||
HnswFindElementNeighbors(base, element, entryPoint, index, support, m, efConstruction, false, true);
|
||||
|
||||
/* Update graph in memory */
|
||||
UpdateGraphInMemory(support, element, m, efConstruction, entryPoint, buildstate);
|
||||
UpdateGraphInMemory(support, element, m, entryPoint, buildstate);
|
||||
|
||||
/* Release entry lock */
|
||||
LWLockRelease(entryLock);
|
||||
@@ -476,18 +480,20 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heaptid, Hn
|
||||
HnswElement element;
|
||||
HnswAllocator *allocator = &buildstate->allocator;
|
||||
HnswSupport *support = &buildstate->support;
|
||||
Size valueSize;
|
||||
Pointer valuePtr;
|
||||
LWLock *flushLock = &graph->flushLock;
|
||||
char *base = buildstate->hnswarea;
|
||||
Datum value;
|
||||
TupleDesc tupdesc = buildstate->tupdesc;
|
||||
IndexTuple itup;
|
||||
Size itupSize;
|
||||
IndexTuple itupShared;
|
||||
bool unused;
|
||||
|
||||
/* Form index value */
|
||||
if (!HnswFormIndexValue(&value, values, isnull, buildstate->typeInfo, support))
|
||||
/* Form index tuple */
|
||||
if (!HnswFormIndexTuple(&itup, values, isnull, buildstate->typeInfo, support, tupdesc))
|
||||
return false;
|
||||
|
||||
/* Get datum size */
|
||||
valueSize = VARSIZE_ANY(DatumGetPointer(value));
|
||||
/* Get tuple size */
|
||||
itupSize = IndexTupleSize(itup);
|
||||
|
||||
/* Ensure graph not flushed when inserting */
|
||||
LWLockAcquire(flushLock, LW_SHARED);
|
||||
@@ -497,7 +503,7 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heaptid, Hn
|
||||
{
|
||||
LWLockRelease(flushLock);
|
||||
|
||||
return HnswInsertTupleOnDisk(index, support, value, heaptid, true);
|
||||
return HnswInsertTupleOnDisk(index, support, itup, heaptid, true, tupdesc);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -529,12 +535,12 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heaptid, Hn
|
||||
|
||||
LWLockRelease(flushLock);
|
||||
|
||||
return HnswInsertTupleOnDisk(index, support, value, heaptid, true);
|
||||
return HnswInsertTupleOnDisk(index, support, itup, heaptid, true, tupdesc);
|
||||
}
|
||||
|
||||
/* Ok, we can proceed to allocate the element */
|
||||
element = HnswInitElement(base, heaptid, buildstate->m, buildstate->ml, buildstate->maxLevel, allocator);
|
||||
valuePtr = HnswAlloc(allocator, valueSize);
|
||||
itupShared = HnswAlloc(allocator, itupSize);
|
||||
|
||||
/*
|
||||
* We have now allocated the space needed for the element, so we don't
|
||||
@@ -543,9 +549,10 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heaptid, Hn
|
||||
*/
|
||||
LWLockRelease(&graph->allocatorLock);
|
||||
|
||||
/* Copy the datum */
|
||||
memcpy(valuePtr, DatumGetPointer(value), valueSize);
|
||||
HnswPtrStore(base, element->value, valuePtr);
|
||||
/* Copy the tuple */
|
||||
memcpy(itupShared, itup, itupSize);
|
||||
HnswPtrStore(base, element->itup, itupShared);
|
||||
HnswPtrStore(base, element->value, DatumGetPointer(index_getattr(itupShared, 1, tupdesc, &unused)));
|
||||
|
||||
/* Create a lock for the element */
|
||||
LWLockInitialize(&element->lock, hnsw_lock_tranche_id);
|
||||
@@ -672,6 +679,19 @@ InitBuildState(HnswBuildState * buildstate, Relation heap, Relation index, Index
|
||||
(errcode(ERRCODE_FEATURE_NOT_SUPPORTED),
|
||||
errmsg("type not supported for hnsw index")));
|
||||
|
||||
/* TODO See if needed */
|
||||
if (IndexRelationGetNumberOfKeyAttributes(index) > 2)
|
||||
elog(ERROR, "index cannot have more than two columns");
|
||||
|
||||
if (!OidIsValid(index_getprocid(index, 1, HNSW_DISTANCE_PROC)))
|
||||
elog(ERROR, "first column must be a vector");
|
||||
|
||||
for (int i = 1; i < IndexRelationGetNumberOfKeyAttributes(index); i++)
|
||||
{
|
||||
if (!OidIsValid(index_getprocid(index, i + 1, HNSW_ATTRIBUTE_DISTANCE_PROC)))
|
||||
elog(ERROR, "column %d cannot be a vector", i + 1);
|
||||
}
|
||||
|
||||
/* Require column to have dimensions to be indexed */
|
||||
if (buildstate->dimensions < 0)
|
||||
ereport(ERROR,
|
||||
@@ -698,6 +718,8 @@ InitBuildState(HnswBuildState * buildstate, Relation heap, Relation index, Index
|
||||
buildstate->graph = &buildstate->graphData;
|
||||
buildstate->ml = HnswGetMl(buildstate->m);
|
||||
buildstate->maxLevel = HnswGetMaxLevel(buildstate->m);
|
||||
buildstate->useIndexTuple = HnswUseIndexTuple(index);
|
||||
buildstate->tupdesc = RelationGetDescr(index);
|
||||
|
||||
buildstate->graphCtx = GenerationContextCreate(CurrentMemoryContext,
|
||||
"Hnsw build graph context",
|
||||
@@ -1054,7 +1076,7 @@ ComputeParallelWorkers(Relation heap, Relation index)
|
||||
* Build graph
|
||||
*/
|
||||
static void
|
||||
BuildGraph(HnswBuildState * buildstate, ForkNumber forkNum)
|
||||
BuildGraph(HnswBuildState * buildstate)
|
||||
{
|
||||
int parallel_workers = 0;
|
||||
|
||||
@@ -1102,7 +1124,7 @@ BuildIndex(Relation heap, Relation index, IndexInfo *indexInfo,
|
||||
|
||||
InitBuildState(buildstate, heap, index, indexInfo, forkNum);
|
||||
|
||||
BuildGraph(buildstate, forkNum);
|
||||
BuildGraph(buildstate);
|
||||
|
||||
if (RelationNeedsWAL(index) || forkNum == INIT_FORKNUM)
|
||||
log_newpage_range(index, forkNum, 0, RelationGetNumberOfBlocksInFork(index, forkNum), true);
|
||||
|
||||
@@ -9,6 +9,10 @@
|
||||
#include "utils/datum.h"
|
||||
#include "utils/memutils.h"
|
||||
|
||||
#if PG_VERSION_NUM >= 160000
|
||||
#include "varatt.h"
|
||||
#endif
|
||||
|
||||
/*
|
||||
* Get the insert page
|
||||
*/
|
||||
@@ -156,9 +160,10 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
|
||||
BlockNumber newInsertPage = InvalidBlockNumber;
|
||||
uint8 tupleVersion;
|
||||
char *base = NULL;
|
||||
bool useIndexTuple = HnswUseIndexTuple(index);
|
||||
|
||||
/* Calculate sizes */
|
||||
etupSize = HNSW_ELEMENT_TUPLE_SIZE(VARSIZE_ANY(HnswPtrAccess(base, e->value)));
|
||||
etupSize = HnswGetElementTupleSize(base, e, useIndexTuple);
|
||||
ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(e->level, m);
|
||||
combinedSize = etupSize + ntupSize + sizeof(ItemIdData);
|
||||
maxSize = HNSW_MAX_SIZE;
|
||||
@@ -166,7 +171,7 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
|
||||
|
||||
/* Prepare element tuple */
|
||||
etup = palloc0(etupSize);
|
||||
HnswSetElementTuple(base, etup, e);
|
||||
HnswSetElementTuple(base, etup, e, useIndexTuple);
|
||||
|
||||
/* Prepare neighbor tuple */
|
||||
ntup = palloc0(ntupSize);
|
||||
@@ -383,8 +388,9 @@ LoadElementsForInsert(HnswNeighborArray * neighbors, HnswQuery * q, int *idx, Re
|
||||
HnswCandidate *hc = &neighbors->items[i];
|
||||
HnswElement element = HnswPtrAccess(base, hc->element);
|
||||
double distance;
|
||||
bool matches;
|
||||
|
||||
HnswLoadElement(element, &distance, q, index, support, true, NULL);
|
||||
HnswLoadElement(element, &distance, &matches, q, index, support, true, NULL);
|
||||
hc->distance = distance;
|
||||
|
||||
/* Prune element if being deleted */
|
||||
@@ -428,6 +434,8 @@ GetUpdateIndex(HnswElement element, HnswElement newElement, float distance, int
|
||||
HnswQuery q;
|
||||
|
||||
q.value = HnswGetValue(base, element);
|
||||
q.itup = HnswPtrAccess(base, element->itup);
|
||||
q.keyData = NULL;
|
||||
|
||||
LoadElementsForInsert(neighbors, &q, &idx, index, support);
|
||||
|
||||
@@ -633,21 +641,30 @@ AddDuplicateOnDisk(Relation index, HnswElement element, HnswElement dup, bool bu
|
||||
* Find duplicate element
|
||||
*/
|
||||
static bool
|
||||
FindDuplicateOnDisk(Relation index, HnswElement element, bool building)
|
||||
FindDuplicateOnDisk(Relation index, HnswElement element, bool building, TupleDesc tupdesc)
|
||||
{
|
||||
char *base = NULL;
|
||||
HnswNeighborArray *neighbors = HnswGetNeighbors(base, element, 0);
|
||||
Datum value = HnswGetValue(base, element);
|
||||
IndexTuple itup = HnswPtrAccess(base, element->itup);
|
||||
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
{
|
||||
HnswCandidate *neighbor = &neighbors->items[i];
|
||||
HnswElement neighborElement = HnswPtrAccess(base, neighbor->element);
|
||||
Datum neighborValue = HnswGetValue(base, neighborElement);
|
||||
|
||||
/* Exit early since ordered by distance */
|
||||
if (!datumIsEqual(value, neighborValue, false, -1))
|
||||
return false;
|
||||
if (HnswUseIndexTuple(index))
|
||||
{
|
||||
/* Exit early since ordered by distance */
|
||||
if (!HnswIndexTupleIsEqual(itup, HnswPtrAccess(base, neighborElement->itup), tupdesc))
|
||||
return false;
|
||||
}
|
||||
else
|
||||
{
|
||||
/* Exit early since ordered by distance */
|
||||
if (!datumIsEqual(value, HnswGetValue(base, neighborElement), false, -1))
|
||||
return false;
|
||||
}
|
||||
|
||||
if (AddDuplicateOnDisk(index, element, neighborElement, building))
|
||||
return true;
|
||||
@@ -660,12 +677,12 @@ FindDuplicateOnDisk(Relation index, HnswElement element, bool building)
|
||||
* Update graph on disk
|
||||
*/
|
||||
static void
|
||||
UpdateGraphOnDisk(Relation index, HnswSupport * support, HnswElement element, int m, int efConstruction, HnswElement entryPoint, bool building)
|
||||
UpdateGraphOnDisk(Relation index, HnswSupport * support, HnswElement element, int m, HnswElement entryPoint, bool building, TupleDesc tupdesc)
|
||||
{
|
||||
BlockNumber newInsertPage = InvalidBlockNumber;
|
||||
|
||||
/* Look for duplicate */
|
||||
if (FindDuplicateOnDisk(index, element, building))
|
||||
if (FindDuplicateOnDisk(index, element, building, tupdesc))
|
||||
return;
|
||||
|
||||
/* Add element */
|
||||
@@ -687,7 +704,7 @@ UpdateGraphOnDisk(Relation index, HnswSupport * support, HnswElement element, in
|
||||
* Insert a tuple into the index
|
||||
*/
|
||||
bool
|
||||
HnswInsertTupleOnDisk(Relation index, HnswSupport * support, Datum value, ItemPointer heaptid, bool building)
|
||||
HnswInsertTupleOnDisk(Relation index, HnswSupport * support, IndexTuple itup, ItemPointer heaptid, bool building, TupleDesc tupdesc)
|
||||
{
|
||||
HnswElement entryPoint;
|
||||
HnswElement element;
|
||||
@@ -695,6 +712,7 @@ HnswInsertTupleOnDisk(Relation index, HnswSupport * support, Datum value, ItemPo
|
||||
int efConstruction = HnswGetEfConstruction(index);
|
||||
LOCKMODE lockmode = ShareLock;
|
||||
char *base = NULL;
|
||||
bool unused;
|
||||
|
||||
/*
|
||||
* Get a shared lock. This allows vacuum to ensure no in-flight inserts
|
||||
@@ -708,7 +726,8 @@ HnswInsertTupleOnDisk(Relation index, HnswSupport * support, Datum value, ItemPo
|
||||
|
||||
/* Create an element */
|
||||
element = HnswInitElement(base, heaptid, m, HnswGetMl(m), HnswGetMaxLevel(m), NULL);
|
||||
HnswPtrStore(base, element->value, DatumGetPointer(value));
|
||||
HnswPtrStore(base, element->itup, itup);
|
||||
HnswPtrStore(base, element->value, DatumGetPointer(index_getattr(itup, 1, tupdesc, &unused)));
|
||||
|
||||
/* Prevent concurrent inserts when likely updating entry point */
|
||||
if (entryPoint == NULL || element->level > entryPoint->level)
|
||||
@@ -725,10 +744,10 @@ 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, false);
|
||||
|
||||
/* Update graph on disk */
|
||||
UpdateGraphOnDisk(index, support, element, m, efConstruction, entryPoint, building);
|
||||
UpdateGraphOnDisk(index, support, element, m, entryPoint, building, tupdesc);
|
||||
|
||||
/* Release lock */
|
||||
UnlockPage(index, HNSW_UPDATE_LOCK, lockmode);
|
||||
@@ -742,17 +761,18 @@ HnswInsertTupleOnDisk(Relation index, HnswSupport * support, Datum value, ItemPo
|
||||
static void
|
||||
HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heaptid)
|
||||
{
|
||||
Datum value;
|
||||
IndexTuple itup;
|
||||
const HnswTypeInfo *typeInfo = HnswGetTypeInfo(index);
|
||||
TupleDesc tupdesc = RelationGetDescr(index);
|
||||
HnswSupport support;
|
||||
|
||||
HnswInitSupport(&support, index);
|
||||
|
||||
/* Form index value */
|
||||
if (!HnswFormIndexValue(&value, values, isnull, typeInfo, &support))
|
||||
/* Form index tuple */
|
||||
if (!HnswFormIndexTuple(&itup, values, isnull, typeInfo, &support, tupdesc))
|
||||
return;
|
||||
|
||||
HnswInsertTupleOnDisk(index, &support, value, heaptid, false);
|
||||
HnswInsertTupleOnDisk(index, &support, itup, heaptid, false, tupdesc);
|
||||
}
|
||||
|
||||
/*
|
||||
|
||||
@@ -22,26 +22,30 @@ GetScanItems(IndexScanDesc scan, Datum value)
|
||||
int m;
|
||||
HnswElement entryPoint;
|
||||
char *base = NULL;
|
||||
bool inMemory = false;
|
||||
HnswQuery *q = &so->q;
|
||||
|
||||
q->value = value;
|
||||
q->itup = NULL;
|
||||
q->keyData = scan->keyData;
|
||||
|
||||
/* Get m and entry point */
|
||||
HnswGetMetaPageInfo(index, &m, &entryPoint);
|
||||
|
||||
q->value = value;
|
||||
so->m = m;
|
||||
|
||||
if (entryPoint == NULL)
|
||||
return NIL;
|
||||
|
||||
ep = list_make1(HnswEntryCandidate(base, entryPoint, q, index, support, false));
|
||||
ep = list_make1(HnswEntryCandidate(base, entryPoint, q, index, support, false, inMemory));
|
||||
|
||||
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, inMemory, NULL, NULL, true, NULL);
|
||||
ep = w;
|
||||
}
|
||||
|
||||
return HnswSearchLayer(base, q, ep, hnsw_ef_search, 0, index, support, m, false, NULL, &so->v, hnsw_iterative_scan != HNSW_ITERATIVE_SCAN_OFF ? &so->discarded : NULL, true, &so->tuples);
|
||||
return HnswSearchLayer(base, q, ep, hnsw_ef_search, 0, index, support, m, false, NULL, inMemory, &so->v, hnsw_iterative_scan != HNSW_ITERATIVE_SCAN_OFF ? &so->discarded : NULL, true, &so->tuples);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -72,7 +76,7 @@ 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, false, &so->v, &so->discarded, false, &so->tuples);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -96,7 +100,7 @@ GetScanValue(IndexScanDesc scan)
|
||||
|
||||
/* Normalize if needed */
|
||||
if (so->support.normprocinfo != NULL)
|
||||
value = HnswNormValue(so->typeInfo, so->support.collation, value);
|
||||
value = HnswNormValue(so->typeInfo, so->support.collation[0], value);
|
||||
}
|
||||
|
||||
return value;
|
||||
@@ -193,6 +197,10 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
|
||||
/* Count index scan for stats */
|
||||
pgstat_count_index_scan(scan->indexRelation);
|
||||
#if PG_VERSION_NUM >= 180000
|
||||
if (scan->instrument)
|
||||
scan->instrument->nsearches++;
|
||||
#endif
|
||||
|
||||
/* Safety check */
|
||||
if (scan->orderByData == NULL)
|
||||
@@ -279,7 +287,7 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
element = HnswPtrAccess(base, sc->element);
|
||||
|
||||
/* Move to next element if no valid heap TIDs */
|
||||
if (element->heaptidsLength == 0)
|
||||
if (!sc->matches || element->heaptidsLength == 0)
|
||||
{
|
||||
so->w = list_delete_last(so->w);
|
||||
|
||||
|
||||
323
src/hnswutils.c
323
src/hnswutils.c
@@ -15,6 +15,10 @@
|
||||
#include "utils/memdebug.h"
|
||||
#include "utils/rel.h"
|
||||
|
||||
#if PG_VERSION_NUM >= 160000
|
||||
#include "varatt.h"
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM < 170000
|
||||
static inline uint64
|
||||
murmurhash64(uint64 data)
|
||||
@@ -146,11 +150,39 @@ HnswOptionalProcInfo(Relation index, uint16 procnum)
|
||||
void
|
||||
HnswInitSupport(HnswSupport * support, Relation index)
|
||||
{
|
||||
support->procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
||||
support->collation = index->rd_indcollation[0];
|
||||
support->procinfo[0] = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
||||
|
||||
if (IndexRelationGetNumberOfKeyAttributes(index) > 1)
|
||||
support->procinfo[1] = index_getprocinfo(index, 2, HNSW_ATTRIBUTE_DISTANCE_PROC);
|
||||
|
||||
support->collation = index->rd_indcollation;
|
||||
support->normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
|
||||
}
|
||||
|
||||
/*
|
||||
* Get element tuple size
|
||||
*/
|
||||
Size
|
||||
HnswGetElementTupleSize(char *base, HnswElement element, bool useIndexTuple)
|
||||
{
|
||||
Size size;
|
||||
|
||||
if (useIndexTuple)
|
||||
{
|
||||
IndexTuple itup = HnswPtrAccess(base, element->itup);
|
||||
|
||||
size = IndexTupleSize(itup);
|
||||
}
|
||||
else
|
||||
{
|
||||
Pointer valuePtr = HnswPtrAccess(base, element->value);
|
||||
|
||||
size = VARSIZE_ANY(valuePtr);
|
||||
}
|
||||
|
||||
return HNSW_ELEMENT_TUPLE_SIZE(size);
|
||||
}
|
||||
|
||||
/*
|
||||
* Normalize value
|
||||
*/
|
||||
@@ -166,7 +198,38 @@ HnswNormValue(const HnswTypeInfo * typeInfo, Oid collation, Datum value)
|
||||
bool
|
||||
HnswCheckNorm(HnswSupport * support, Datum value)
|
||||
{
|
||||
return DatumGetFloat8(FunctionCall1Coll(support->normprocinfo, support->collation, value)) > 0;
|
||||
return DatumGetFloat8(FunctionCall1Coll(support->normprocinfo, support->collation[0], value)) > 0;
|
||||
}
|
||||
|
||||
/*
|
||||
* Check if index tuples are equal
|
||||
*/
|
||||
bool
|
||||
HnswIndexTupleIsEqual(IndexTuple a, IndexTuple b, TupleDesc tupdesc)
|
||||
{
|
||||
for (int i = 0; i < tupdesc->natts; i++)
|
||||
{
|
||||
bool nullA;
|
||||
bool nullB;
|
||||
|
||||
Datum datumA = index_getattr(a, i + 1, tupdesc, &nullA);
|
||||
Datum datumB = index_getattr(b, i + 1, tupdesc, &nullB);
|
||||
|
||||
if (nullA || nullB)
|
||||
{
|
||||
if (nullA != nullB)
|
||||
return false;
|
||||
}
|
||||
else
|
||||
{
|
||||
Form_pg_attribute att = TupleDescAttr(tupdesc, i);
|
||||
|
||||
if (!datumIsEqual(datumA, datumB, att->attbyval, att->attlen))
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -257,6 +320,7 @@ HnswInitElement(char *base, ItemPointer heaptid, int m, double ml, int maxLevel,
|
||||
HnswInitNeighbors(base, element, m, allocator);
|
||||
|
||||
HnswPtrStore(base, element->value, (Pointer) NULL);
|
||||
HnswPtrStore(base, element->itup, (IndexTuple) NULL);
|
||||
|
||||
return element;
|
||||
}
|
||||
@@ -283,6 +347,7 @@ HnswInitElementFromBlock(BlockNumber blkno, OffsetNumber offno)
|
||||
element->offno = offno;
|
||||
HnswPtrStore(base, element->neighbors, (HnswNeighborArrayPtr *) NULL);
|
||||
HnswPtrStore(base, element->value, (Pointer) NULL);
|
||||
HnswPtrStore(base, element->itup, (IndexTuple) NULL);
|
||||
return element;
|
||||
}
|
||||
|
||||
@@ -395,11 +460,13 @@ HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, Bloc
|
||||
}
|
||||
|
||||
/*
|
||||
* Form index value
|
||||
* Form index tuple
|
||||
*/
|
||||
bool
|
||||
HnswFormIndexValue(Datum *out, Datum *values, bool *isnull, const HnswTypeInfo * typeInfo, HnswSupport * support)
|
||||
HnswFormIndexTuple(IndexTuple *out, Datum *values, bool *isnull, const HnswTypeInfo * typeInfo, HnswSupport * support, TupleDesc tupdesc)
|
||||
{
|
||||
Datum newValues[2];
|
||||
|
||||
/* Detoast once for all calls */
|
||||
Datum value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
|
||||
|
||||
@@ -413,10 +480,14 @@ HnswFormIndexValue(Datum *out, Datum *values, bool *isnull, const HnswTypeInfo *
|
||||
if (!HnswCheckNorm(support, value))
|
||||
return false;
|
||||
|
||||
value = HnswNormValue(typeInfo, support->collation, value);
|
||||
value = HnswNormValue(typeInfo, support->collation[0], value);
|
||||
}
|
||||
|
||||
*out = value;
|
||||
newValues[0] = value;
|
||||
for (int i = 1; i < tupdesc->natts; i++)
|
||||
newValues[i] = values[i];
|
||||
|
||||
*out = index_form_tuple(tupdesc, newValues, isnull);
|
||||
|
||||
return true;
|
||||
}
|
||||
@@ -425,10 +496,8 @@ HnswFormIndexValue(Datum *out, Datum *values, bool *isnull, const HnswTypeInfo *
|
||||
* Set element tuple, except for neighbor info
|
||||
*/
|
||||
void
|
||||
HnswSetElementTuple(char *base, HnswElementTuple etup, HnswElement element)
|
||||
HnswSetElementTuple(char *base, HnswElementTuple etup, HnswElement element, bool useIndexTuple)
|
||||
{
|
||||
Pointer valuePtr = HnswPtrAccess(base, element->value);
|
||||
|
||||
etup->type = HNSW_ELEMENT_TUPLE_TYPE;
|
||||
etup->level = element->level;
|
||||
etup->deleted = 0;
|
||||
@@ -440,7 +509,19 @@ HnswSetElementTuple(char *base, HnswElementTuple etup, HnswElement element)
|
||||
else
|
||||
ItemPointerSetInvalid(&etup->heaptids[i]);
|
||||
}
|
||||
memcpy(&etup->data, valuePtr, VARSIZE_ANY(valuePtr));
|
||||
|
||||
if (useIndexTuple)
|
||||
{
|
||||
IndexTuple itup = HnswPtrAccess(base, element->itup);
|
||||
|
||||
memcpy(&etup->data, itup, IndexTupleSize(itup));
|
||||
}
|
||||
else
|
||||
{
|
||||
Pointer valuePtr = HnswPtrAccess(base, element->value);
|
||||
|
||||
memcpy(&etup->data, valuePtr, VARSIZE_ANY(valuePtr));
|
||||
}
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -482,7 +563,7 @@ HnswSetNeighborTuple(char *base, HnswNeighborTuple ntup, HnswElement e, int m)
|
||||
* Load an element from a tuple
|
||||
*/
|
||||
void
|
||||
HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHeaptids, bool loadVec)
|
||||
HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHeaptids, bool loadVec, Relation index)
|
||||
{
|
||||
element->level = etup->level;
|
||||
element->deleted = etup->deleted;
|
||||
@@ -506,26 +587,128 @@ HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHe
|
||||
if (loadVec)
|
||||
{
|
||||
char *base = NULL;
|
||||
Datum value = datumCopy(PointerGetDatum(&etup->data), false, -1);
|
||||
|
||||
HnswPtrStore(base, element->value, DatumGetPointer(value));
|
||||
if (HnswUseIndexTuple(index))
|
||||
{
|
||||
IndexTuple itup = CopyIndexTuple((IndexTuple) &etup->data);
|
||||
TupleDesc tupdesc = RelationGetDescr(index);
|
||||
bool unused;
|
||||
|
||||
HnswPtrStore(base, element->itup, itup);
|
||||
HnswPtrStore(base, element->value, DatumGetPointer(index_getattr(itup, 1, tupdesc, &unused)));
|
||||
}
|
||||
else
|
||||
{
|
||||
Datum value = datumCopy(PointerGetDatum(&etup->data), false, -1);
|
||||
|
||||
HnswPtrStore(base, element->value, DatumGetPointer(value));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/*
|
||||
* Get the attribute distance
|
||||
*/
|
||||
static inline double
|
||||
AttributeDistance(double e)
|
||||
{
|
||||
/* TODO Better bias */
|
||||
/* must be >> max(w * g) + 1 / log10(2) */
|
||||
double bias = 4.32;
|
||||
|
||||
return e > 0 ? bias - 1.0 / log10(e + 1) : 0;
|
||||
}
|
||||
|
||||
/*
|
||||
* Calculate the distance between values
|
||||
*/
|
||||
static inline double
|
||||
HnswGetDistance(Datum a, Datum b, HnswSupport * support)
|
||||
static double
|
||||
HnswGetDistance(IndexTuple itup, Datum vec, HnswQuery * q, Relation index, HnswSupport * support, bool *matches)
|
||||
{
|
||||
return DatumGetFloat8(FunctionCall2Coll(support->procinfo, support->collation, a, b));
|
||||
double g;
|
||||
|
||||
if (DatumGetPointer(q->value) == NULL)
|
||||
g = 0;
|
||||
else
|
||||
g = DatumGetFloat8(FunctionCall2Coll(support->procinfo[0], support->collation[0], q->value, vec));
|
||||
|
||||
Assert(PointerIsValid(matches));
|
||||
*matches = true;
|
||||
|
||||
if (IndexRelationGetNumberOfKeyAttributes(index) > 1)
|
||||
{
|
||||
double w = 0.25;
|
||||
double e = 0.0;
|
||||
TupleDesc tupdesc = RelationGetDescr(index);
|
||||
|
||||
if (q->keyData)
|
||||
{
|
||||
/* TODO need to pass length of key data */
|
||||
int keyCount = 1;
|
||||
|
||||
for (int i = 0; i < keyCount; i++)
|
||||
{
|
||||
ScanKey key = &q->keyData[i];
|
||||
bool isnull;
|
||||
Datum value = index_getattr(itup, key->sk_attno, tupdesc, &isnull);
|
||||
bool attnull = key->sk_flags & SK_ISNULL;
|
||||
|
||||
if (isnull || attnull)
|
||||
{
|
||||
if (isnull != attnull)
|
||||
{
|
||||
e += 1000;
|
||||
*matches = false;
|
||||
}
|
||||
}
|
||||
else if (!DatumGetBool(FunctionCall2Coll(&key->sk_func, key->sk_collation, value, key->sk_argument)))
|
||||
{
|
||||
double ei = fabs(DatumGetFloat8(FunctionCall2Coll(support->procinfo[key->sk_attno - 1], support->collation[key->sk_attno - 1], value, key->sk_argument)));
|
||||
|
||||
if (ei > 0)
|
||||
e += ei;
|
||||
else
|
||||
/* Distance is zero for inequality */
|
||||
e += 1000;
|
||||
|
||||
*matches = false;
|
||||
}
|
||||
}
|
||||
|
||||
return w * g + AttributeDistance(e);
|
||||
}
|
||||
else if (q->itup)
|
||||
{
|
||||
int keyCount = IndexRelationGetNumberOfKeyAttributes(index) - 1;
|
||||
|
||||
for (int i = 0; i < keyCount; i++)
|
||||
{
|
||||
bool isnull;
|
||||
bool attnull;
|
||||
Datum value = index_getattr(itup, i + 2, tupdesc, &isnull);
|
||||
Datum value2 = index_getattr(q->itup, i + 2, tupdesc, &attnull);
|
||||
|
||||
if (isnull || attnull)
|
||||
{
|
||||
if (isnull != attnull)
|
||||
e += 1000;
|
||||
}
|
||||
else
|
||||
e += fabs(DatumGetFloat8(FunctionCall2Coll(support->procinfo[i + 1], support->collation[i + 1], value, value2)));
|
||||
}
|
||||
|
||||
return w * g + AttributeDistance(e);
|
||||
}
|
||||
}
|
||||
|
||||
return g;
|
||||
}
|
||||
|
||||
/*
|
||||
* 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(BlockNumber blkno, OffsetNumber offno, double *distance, bool *matches, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance, HnswElement * element)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
@@ -543,10 +726,23 @@ HnswLoadElementImpl(BlockNumber blkno, OffsetNumber offno, double *distance, Hns
|
||||
/* Calculate distance */
|
||||
if (distance != NULL)
|
||||
{
|
||||
if (DatumGetPointer(q->value) == NULL)
|
||||
*distance = 0;
|
||||
IndexTuple itup = NULL;
|
||||
Datum value;
|
||||
|
||||
if (HnswUseIndexTuple(index))
|
||||
{
|
||||
TupleDesc tupdesc = RelationGetDescr(index);
|
||||
bool unused;
|
||||
|
||||
itup = (IndexTuple) &etup->data;
|
||||
value = index_getattr(itup, 1, tupdesc, &unused);
|
||||
}
|
||||
else
|
||||
*distance = HnswGetDistance(q->value, PointerGetDatum(&etup->data), support);
|
||||
{
|
||||
value = PointerGetDatum(&etup->data);
|
||||
}
|
||||
|
||||
*distance = HnswGetDistance(itup, value, q, index, support, matches);
|
||||
}
|
||||
|
||||
/* Load element */
|
||||
@@ -555,7 +751,7 @@ HnswLoadElementImpl(BlockNumber blkno, OffsetNumber offno, double *distance, Hns
|
||||
if (*element == NULL)
|
||||
*element = HnswInitElementFromBlock(blkno, offno);
|
||||
|
||||
HnswLoadElementFromTuple(*element, etup, true, loadVec);
|
||||
HnswLoadElementFromTuple(*element, etup, true, loadVec, index);
|
||||
}
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
@@ -565,32 +761,34 @@ HnswLoadElementImpl(BlockNumber blkno, OffsetNumber offno, double *distance, Hns
|
||||
* Load an element and optionally get its distance from q
|
||||
*/
|
||||
void
|
||||
HnswLoadElement(HnswElement element, double *distance, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance)
|
||||
HnswLoadElement(HnswElement element, double *distance, bool *matches, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance)
|
||||
{
|
||||
HnswLoadElementImpl(element->blkno, element->offno, distance, q, index, support, loadVec, maxDistance, &element);
|
||||
HnswLoadElementImpl(element->blkno, element->offno, distance, matches, q, index, support, loadVec, maxDistance, &element);
|
||||
}
|
||||
|
||||
/*
|
||||
* Get the distance for an element
|
||||
*/
|
||||
static double
|
||||
GetElementDistance(char *base, HnswElement element, HnswQuery * q, HnswSupport * support)
|
||||
GetElementDistance(char *base, HnswElement element, bool *matches, HnswQuery * q, Relation index, HnswSupport * support)
|
||||
{
|
||||
Datum value = HnswGetValue(base, element);
|
||||
IndexTuple itup = HnswPtrAccess(base, element->itup);
|
||||
|
||||
return HnswGetDistance(q->value, value, support);
|
||||
return HnswGetDistance(itup, value, q, index, support, matches);
|
||||
}
|
||||
|
||||
/*
|
||||
* Allocate a search candidate
|
||||
*/
|
||||
static HnswSearchCandidate *
|
||||
HnswInitSearchCandidate(char *base, HnswElement element, double distance)
|
||||
HnswInitSearchCandidate(char *base, HnswElement element, double distance, bool matches)
|
||||
{
|
||||
HnswSearchCandidate *sc = palloc(sizeof(HnswSearchCandidate));
|
||||
|
||||
HnswPtrStore(base, sc->element, element);
|
||||
sc->distance = distance;
|
||||
sc->matches = matches;
|
||||
return sc;
|
||||
}
|
||||
|
||||
@@ -598,17 +796,17 @@ HnswInitSearchCandidate(char *base, HnswElement element, double distance)
|
||||
* Create a candidate for the entry point
|
||||
*/
|
||||
HnswSearchCandidate *
|
||||
HnswEntryCandidate(char *base, HnswElement entryPoint, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec)
|
||||
HnswEntryCandidate(char *base, HnswElement entryPoint, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, bool inMemory)
|
||||
{
|
||||
bool inMemory = index == NULL;
|
||||
double distance;
|
||||
bool matches;
|
||||
|
||||
if (inMemory)
|
||||
distance = GetElementDistance(base, entryPoint, q, support);
|
||||
distance = GetElementDistance(base, entryPoint, &matches, q, index, support);
|
||||
else
|
||||
HnswLoadElement(entryPoint, &distance, q, index, support, loadVec, NULL);
|
||||
HnswLoadElement(entryPoint, &distance, &matches, q, index, support, loadVec, NULL);
|
||||
|
||||
return HnswInitSearchCandidate(base, entryPoint, distance);
|
||||
return HnswInitSearchCandidate(base, entryPoint, distance, matches);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -811,7 +1009,7 @@ HnswLoadUnvisitedFromDisk(HnswElement element, HnswUnvisited * unvisited, int *u
|
||||
* 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, bool inMemory, visited_hash * v, pairingheap **discarded, bool initVisited, int64 *tuples)
|
||||
{
|
||||
List *w = NIL;
|
||||
pairingheap *C = pairingheap_allocate(CompareNearestCandidates, NULL);
|
||||
@@ -824,7 +1022,8 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
int lm = HnswGetLayerM(m, lc);
|
||||
HnswUnvisited *unvisited = palloc(lm * sizeof(HnswUnvisited));
|
||||
int unvisitedLength;
|
||||
bool inMemory = index == NULL;
|
||||
uint64 additional = 0;
|
||||
uint64 maxAdditional = q->keyData && lc == 0 ? 10000 : 0;
|
||||
|
||||
if (v == NULL)
|
||||
{
|
||||
@@ -865,6 +1064,10 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
pairingheap_add(C, &sc->c_node);
|
||||
pairingheap_add(W, &sc->w_node);
|
||||
|
||||
/* Do not count elements that do not match filter towards ef */
|
||||
if (!sc->matches && ++additional <= maxAdditional)
|
||||
continue;
|
||||
|
||||
/*
|
||||
* Do not count elements being deleted towards ef when vacuuming. It
|
||||
* would be ideal to do this for inserts as well, but this could
|
||||
@@ -899,6 +1102,7 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
HnswElement eElement;
|
||||
HnswSearchCandidate *e;
|
||||
double eDistance;
|
||||
bool eMatches;
|
||||
bool alwaysAdd = wlen < ef;
|
||||
|
||||
f = HnswGetSearchCandidate(w_node, pairingheap_first(W));
|
||||
@@ -906,7 +1110,7 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
if (inMemory)
|
||||
{
|
||||
eElement = unvisited[i].element;
|
||||
eDistance = GetElementDistance(base, eElement, q, support);
|
||||
eDistance = GetElementDistance(base, eElement, &eMatches, q, index, support);
|
||||
}
|
||||
else
|
||||
{
|
||||
@@ -916,7 +1120,7 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
|
||||
/* Avoid any allocations if not adding */
|
||||
eElement = NULL;
|
||||
HnswLoadElementImpl(blkno, offno, &eDistance, q, index, support, inserting, alwaysAdd || discarded != NULL ? NULL : &f->distance, &eElement);
|
||||
HnswLoadElementImpl(blkno, offno, &eDistance, &eMatches, q, index, support, inserting, alwaysAdd || discarded != NULL ? NULL : &f->distance, &eElement);
|
||||
|
||||
if (eElement == NULL)
|
||||
continue;
|
||||
@@ -927,7 +1131,7 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
if (discarded != NULL)
|
||||
{
|
||||
/* Create a new candidate */
|
||||
e = HnswInitSearchCandidate(base, eElement, eDistance);
|
||||
e = HnswInitSearchCandidate(base, eElement, eDistance, eMatches);
|
||||
pairingheap_add(*discarded, &e->w_node);
|
||||
}
|
||||
|
||||
@@ -939,7 +1143,7 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
continue;
|
||||
|
||||
/* Create a new candidate */
|
||||
e = HnswInitSearchCandidate(base, eElement, eDistance);
|
||||
e = HnswInitSearchCandidate(base, eElement, eDistance, eMatches);
|
||||
pairingheap_add(C, &e->c_node);
|
||||
pairingheap_add(W, &e->w_node);
|
||||
|
||||
@@ -950,6 +1154,10 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
*/
|
||||
if (CountElement(skipElement, eElement))
|
||||
{
|
||||
/* Do not count elements that do not match filter towards ef */
|
||||
if (!e->matches && ++additional <= maxAdditional)
|
||||
continue;
|
||||
|
||||
wlen++;
|
||||
|
||||
/* No need to decrement wlen */
|
||||
@@ -1027,18 +1235,24 @@ CompareCandidateDistancesOffset(const ListCell *a, const ListCell *b)
|
||||
* Check if an element is closer to q than any element from R
|
||||
*/
|
||||
static bool
|
||||
CheckElementCloser(char *base, HnswCandidate * e, List *r, HnswSupport * support)
|
||||
CheckElementCloser(char *base, HnswCandidate * e, List *r, Relation index, HnswSupport * support)
|
||||
{
|
||||
HnswElement eElement = HnswPtrAccess(base, e->element);
|
||||
Datum eValue = HnswGetValue(base, eElement);
|
||||
HnswQuery q;
|
||||
ListCell *lc2;
|
||||
|
||||
q.value = HnswGetValue(base, eElement);
|
||||
q.itup = HnswPtrAccess(base, eElement->itup);
|
||||
q.keyData = NULL;
|
||||
|
||||
foreach(lc2, r)
|
||||
{
|
||||
HnswCandidate *ri = lfirst(lc2);
|
||||
HnswElement riElement = HnswPtrAccess(base, ri->element);
|
||||
Datum riValue = HnswGetValue(base, riElement);
|
||||
float distance = HnswGetDistance(eValue, riValue, support);
|
||||
IndexTuple ritup = HnswPtrAccess(base, riElement->itup);
|
||||
bool matches;
|
||||
float distance = HnswGetDistance(ritup, riValue, &q, index, support, &matches);
|
||||
|
||||
if (distance <= e->distance)
|
||||
return false;
|
||||
@@ -1051,7 +1265,7 @@ CheckElementCloser(char *base, HnswCandidate * e, List *r, HnswSupport * support
|
||||
* Algorithm 4 from paper
|
||||
*/
|
||||
static List *
|
||||
SelectNeighbors(char *base, List *c, int lm, HnswSupport * support, bool *closerSet, HnswCandidate * newCandidate, HnswCandidate * *pruned, bool sortCandidates)
|
||||
SelectNeighbors(char *base, List *c, int lm, Relation index, HnswSupport * support, bool *closerSet, HnswCandidate * newCandidate, HnswCandidate * *pruned, bool sortCandidates)
|
||||
{
|
||||
List *r = NIL;
|
||||
List *w = list_copy(c);
|
||||
@@ -1085,7 +1299,7 @@ SelectNeighbors(char *base, List *c, int lm, HnswSupport * support, bool *closer
|
||||
|
||||
/* Use previous state of r and wd to skip work when possible */
|
||||
if (mustCalculate)
|
||||
e->closer = CheckElementCloser(base, e, r, support);
|
||||
e->closer = CheckElementCloser(base, e, r, index, support);
|
||||
else if (list_length(added) > 0)
|
||||
{
|
||||
/* Keep Valgrind happy for in-memory, parallel builds */
|
||||
@@ -1098,8 +1312,7 @@ SelectNeighbors(char *base, List *c, int lm, HnswSupport * support, bool *closer
|
||||
*/
|
||||
if (e->closer)
|
||||
{
|
||||
e->closer = CheckElementCloser(base, e, added, support);
|
||||
|
||||
e->closer = CheckElementCloser(base, e, added, index, support);
|
||||
if (!e->closer)
|
||||
removedAny = true;
|
||||
}
|
||||
@@ -1111,7 +1324,7 @@ SelectNeighbors(char *base, List *c, int lm, HnswSupport * support, bool *closer
|
||||
*/
|
||||
if (removedAny)
|
||||
{
|
||||
e->closer = CheckElementCloser(base, e, r, support);
|
||||
e->closer = CheckElementCloser(base, e, r, index, support);
|
||||
if (e->closer)
|
||||
added = lappend(added, e);
|
||||
}
|
||||
@@ -1119,7 +1332,7 @@ SelectNeighbors(char *base, List *c, int lm, HnswSupport * support, bool *closer
|
||||
}
|
||||
else if (e == newCandidate)
|
||||
{
|
||||
e->closer = CheckElementCloser(base, e, r, support);
|
||||
e->closer = CheckElementCloser(base, e, r, index, support);
|
||||
if (e->closer)
|
||||
added = lappend(added, e);
|
||||
}
|
||||
@@ -1196,7 +1409,7 @@ HnswUpdateConnection(char *base, HnswNeighborArray * neighbors, HnswElement newE
|
||||
c = lappend(c, &neighbors->items[i]);
|
||||
c = lappend(c, &newHc);
|
||||
|
||||
SelectNeighbors(base, c, lm, support, &neighbors->closerSet, &newHc, &pruned, true);
|
||||
SelectNeighbors(base, c, lm, index, support, &neighbors->closerSet, &newHc, &pruned, true);
|
||||
|
||||
/* Should not happen */
|
||||
if (pruned == NULL)
|
||||
@@ -1267,17 +1480,19 @@ 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 inMemory)
|
||||
{
|
||||
List *ep;
|
||||
List *w;
|
||||
int level = element->level;
|
||||
int entryLevel;
|
||||
HnswQuery q;
|
||||
|
||||
HnswElement skipElement = existing ? element : NULL;
|
||||
bool inMemory = index == NULL;
|
||||
|
||||
q.value = HnswGetValue(base, element);
|
||||
q.itup = HnswPtrAccess(base, element->itup);
|
||||
q.keyData = NULL;
|
||||
|
||||
/* Precompute hash */
|
||||
if (inMemory)
|
||||
@@ -1288,13 +1503,13 @@ HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint
|
||||
return;
|
||||
|
||||
/* Get entry point and level */
|
||||
ep = list_make1(HnswEntryCandidate(base, entryPoint, &q, index, support, true));
|
||||
ep = list_make1(HnswEntryCandidate(base, entryPoint, &q, index, support, true, inMemory));
|
||||
entryLevel = entryPoint->level;
|
||||
|
||||
/* 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, inMemory, NULL, NULL, true, NULL);
|
||||
ep = w;
|
||||
}
|
||||
|
||||
@@ -1313,7 +1528,7 @@ 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, inMemory, NULL, NULL, true, NULL);
|
||||
|
||||
/* Convert search candidates to candidates */
|
||||
foreach(lc2, w)
|
||||
@@ -1337,7 +1552,7 @@ HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint
|
||||
* sortCandidates to true for in-memory builds to enable closer
|
||||
* caching, but there does not seem to be a difference in performance.
|
||||
*/
|
||||
neighbors = SelectNeighbors(base, lw, lm, support, &HnswGetNeighbors(base, element, lc)->closerSet, NULL, NULL, false);
|
||||
neighbors = SelectNeighbors(base, lw, lm, index, support, &HnswGetNeighbors(base, element, lc)->closerSet, NULL, NULL, false);
|
||||
|
||||
AddConnections(base, element, neighbors, lc);
|
||||
|
||||
|
||||
@@ -9,6 +9,10 @@
|
||||
#include "storage/lmgr.h"
|
||||
#include "utils/memutils.h"
|
||||
|
||||
#if PG_VERSION_NUM >= 160000
|
||||
#include "varatt.h"
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM >= 180000
|
||||
#define vacuum_delay_point() vacuum_delay_point(false)
|
||||
#endif
|
||||
@@ -208,7 +212,7 @@ 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, false);
|
||||
|
||||
/* Zero memory for each element */
|
||||
MemSet(ntup, 0, HNSW_TUPLE_ALLOC_SIZE);
|
||||
@@ -260,7 +264,7 @@ RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
|
||||
LockPage(index, HNSW_UPDATE_LOCK, ShareLock);
|
||||
|
||||
/* Load element */
|
||||
HnswLoadElement(highestPoint, NULL, NULL, index, support, true, NULL);
|
||||
HnswLoadElement(highestPoint, NULL, NULL, NULL, index, support, true, NULL);
|
||||
|
||||
/* Repair if needed */
|
||||
if (NeedsUpdated(vacuumstate, highestPoint))
|
||||
@@ -298,7 +302,7 @@ RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
|
||||
* is outdated, this can remove connections at higher levels in
|
||||
* the graph until they are repaired, but this should be fine.
|
||||
*/
|
||||
HnswLoadElement(entryPoint, NULL, NULL, index, support, true, NULL);
|
||||
HnswLoadElement(entryPoint, NULL, NULL, NULL, index, support, true, NULL);
|
||||
|
||||
if (NeedsUpdated(vacuumstate, entryPoint))
|
||||
{
|
||||
@@ -374,7 +378,7 @@ RepairGraph(HnswVacuumState * vacuumstate)
|
||||
|
||||
/* Create an element */
|
||||
element = HnswInitElementFromBlock(blkno, offno);
|
||||
HnswLoadElementFromTuple(element, etup, false, true);
|
||||
HnswLoadElementFromTuple(element, etup, false, true, index);
|
||||
|
||||
elements = lappend(elements, element);
|
||||
}
|
||||
@@ -444,6 +448,7 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
BlockNumber insertPage = InvalidBlockNumber;
|
||||
Relation index = vacuumstate->index;
|
||||
BufferAccessStrategy bas = vacuumstate->bas;
|
||||
bool useIndexTuple = HnswUseIndexTuple(index);
|
||||
|
||||
/*
|
||||
* Wait for index scans to complete. Scans before this point may contain
|
||||
@@ -525,7 +530,14 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
|
||||
/* Overwrite element */
|
||||
etup->deleted = 1;
|
||||
MemSet(&etup->data, 0, VARSIZE_ANY(&etup->data));
|
||||
if (useIndexTuple)
|
||||
{
|
||||
IndexTuple itup = (IndexTuple) &etup->data;
|
||||
|
||||
MemSet(itup, 0, IndexTupleSize(itup));
|
||||
}
|
||||
else
|
||||
MemSet(&etup->data, 0, VARSIZE_ANY(&etup->data));
|
||||
|
||||
/* Overwrite neighbors */
|
||||
for (int i = 0; i < ntup->count; i++)
|
||||
|
||||
@@ -20,6 +20,10 @@
|
||||
#include "utils/memutils.h"
|
||||
#include "vector.h"
|
||||
|
||||
#if PG_VERSION_NUM >= 160000
|
||||
#include "varatt.h"
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM >= 140000
|
||||
#include "utils/backend_progress.h"
|
||||
#else
|
||||
@@ -138,7 +142,7 @@ SampleRows(IvfflatBuildState * buildstate)
|
||||
* Add tuple to sort
|
||||
*/
|
||||
static void
|
||||
AddTupleToSort(Relation index, ItemPointer tid, Datum *values, IvfflatBuildState * buildstate)
|
||||
AddTupleToSort(ItemPointer tid, Datum *values, IvfflatBuildState * buildstate)
|
||||
{
|
||||
double distance;
|
||||
double minDistance = DBL_MAX;
|
||||
@@ -215,7 +219,7 @@ BuildCallback(Relation index, ItemPointer tid, Datum *values,
|
||||
oldCtx = MemoryContextSwitchTo(buildstate->tmpCtx);
|
||||
|
||||
/* Add tuple to sort */
|
||||
AddTupleToSort(index, tid, values, buildstate);
|
||||
AddTupleToSort(tid, values, buildstate);
|
||||
|
||||
/* Reset memory context */
|
||||
MemoryContextSwitchTo(oldCtx);
|
||||
@@ -470,8 +474,8 @@ CreateMetaPage(Relation index, int dimensions, int lists, ForkNumber forkNum)
|
||||
* Create list pages
|
||||
*/
|
||||
static void
|
||||
CreateListPages(Relation index, VectorArray centers, int dimensions,
|
||||
int lists, ForkNumber forkNum, ListInfo * *listInfo)
|
||||
CreateListPages(Relation index, VectorArray centers, int lists,
|
||||
ForkNumber forkNum, ListInfo * *listInfo)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
@@ -1004,7 +1008,7 @@ BuildIndex(Relation heap, Relation index, IndexInfo *indexInfo,
|
||||
|
||||
/* Create pages */
|
||||
CreateMetaPage(index, buildstate->dimensions, buildstate->lists, forkNum);
|
||||
CreateListPages(index, buildstate->centers, buildstate->dimensions, buildstate->lists, forkNum, &buildstate->listInfo);
|
||||
CreateListPages(index, buildstate->centers, buildstate->lists, forkNum, &buildstate->listInfo);
|
||||
CreateEntryPages(buildstate, forkNum);
|
||||
|
||||
/* Write WAL for initialization fork since GenericXLog functions do not */
|
||||
|
||||
@@ -13,6 +13,10 @@
|
||||
#include "utils/tuplesort.h"
|
||||
#include "vector.h"
|
||||
|
||||
#if PG_VERSION_NUM >= 160000
|
||||
#include "varatt.h"
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM >= 150000
|
||||
#include "common/pg_prng.h"
|
||||
#endif
|
||||
|
||||
@@ -65,7 +65,7 @@ FindInsertPage(Relation index, Datum *values, BlockNumber *insertPage, ListInfo
|
||||
* Insert a tuple into the index
|
||||
*/
|
||||
static void
|
||||
InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel)
|
||||
InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid)
|
||||
{
|
||||
const IvfflatTypeInfo *typeInfo = IvfflatGetTypeInfo(index);
|
||||
IndexTuple itup;
|
||||
@@ -204,7 +204,7 @@ ivfflatinsert(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid,
|
||||
oldCtx = MemoryContextSwitchTo(insertCtx);
|
||||
|
||||
/* Insert tuple */
|
||||
InsertTuple(index, values, isnull, heap_tid, heap);
|
||||
InsertTuple(index, values, isnull, heap_tid);
|
||||
|
||||
/* Delete memory context */
|
||||
MemoryContextSwitchTo(oldCtx);
|
||||
|
||||
@@ -13,6 +13,10 @@
|
||||
#include "utils/memutils.h"
|
||||
#include "vector.h"
|
||||
|
||||
#if PG_VERSION_NUM >= 160000
|
||||
#include "varatt.h"
|
||||
#endif
|
||||
|
||||
/*
|
||||
* Initialize with kmeans++
|
||||
*
|
||||
|
||||
@@ -355,6 +355,10 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
|
||||
/* Count index scan for stats */
|
||||
pgstat_count_index_scan(scan->indexRelation);
|
||||
#if PG_VERSION_NUM >= 180000
|
||||
if (scan->instrument)
|
||||
scan->instrument->nsearches++;
|
||||
#endif
|
||||
|
||||
/* Safety check */
|
||||
if (scan->orderByData == NULL)
|
||||
|
||||
113
test/t/045_hnsw_hqann.pl
Normal file
113
test/t/045_hnsw_hqann.pl
Normal file
@@ -0,0 +1,113 @@
|
||||
use strict;
|
||||
use warnings FATAL => 'all';
|
||||
use PostgreSQL::Test::Cluster;
|
||||
use PostgreSQL::Test::Utils;
|
||||
use Test::More;
|
||||
|
||||
my $node;
|
||||
my @queries = ();
|
||||
my @cs = ();
|
||||
my @expected;
|
||||
my $limit = 20;
|
||||
my $dim = 3;
|
||||
my $array_sql = join(",", ('random()') x $dim);
|
||||
my $nc = 1000;
|
||||
|
||||
sub test_recall
|
||||
{
|
||||
my ($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 WHERE c = $cs[0] ORDER BY v $operator '$queries[0]' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Cond/);
|
||||
|
||||
for my $i (0 .. $#queries)
|
||||
{
|
||||
my $actual = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SELECT i FROM tst WHERE c = $cs[$i] ORDER BY v $operator '$queries[$i]' LIMIT $limit;
|
||||
));
|
||||
my @actual_ids = split("\n", $actual);
|
||||
my %actual_set = map { $_ => 1 } @actual_ids;
|
||||
|
||||
is(scalar(@actual_ids), $limit);
|
||||
|
||||
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;");
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector($dim), c int4);");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[$array_sql], i % $nc FROM generate_series(1, 20000) i;"
|
||||
);
|
||||
|
||||
# Generate queries
|
||||
for (1 .. 20)
|
||||
{
|
||||
my @r = ();
|
||||
for (1 .. $dim)
|
||||
{
|
||||
push(@r, rand());
|
||||
}
|
||||
push(@queries, "[" . join(",", @r) . "]");
|
||||
push(@cs, int(rand() * $nc));
|
||||
}
|
||||
|
||||
# Get exact results
|
||||
@expected = ();
|
||||
for my $i (0 .. $#queries)
|
||||
{
|
||||
my $res = $node->safe_psql("postgres", "SELECT i FROM tst WHERE c = $cs[$i] ORDER BY v <=> '$queries[$i]' LIMIT $limit;");
|
||||
push(@expected, $res);
|
||||
}
|
||||
|
||||
# Add index
|
||||
$node->safe_psql("postgres", qq(
|
||||
SET maintenance_work_mem = '256MB';
|
||||
SET max_parallel_maintenance_workers = 2;
|
||||
CREATE INDEX ON tst USING hnsw (v vector_cosine_ops, c);
|
||||
));
|
||||
|
||||
# Test recall
|
||||
test_recall(0.99, '<=>');
|
||||
|
||||
# Test vacuum
|
||||
$node->safe_psql("postgres", "DELETE FROM tst WHERE c > 5;");
|
||||
$node->safe_psql("postgres", "VACUUM tst;");
|
||||
|
||||
# Test columns
|
||||
my ($ret, $stdout, $stderr) = $node->psql("postgres", "CREATE INDEX ON tst USING hnsw (c);");
|
||||
like($stderr, qr/first column must be a vector/);
|
||||
|
||||
($ret, $stdout, $stderr) = $node->psql("postgres", "CREATE INDEX ON tst USING hnsw (c, v vector_cosine_ops);");
|
||||
like($stderr, qr/first column must be a vector/);
|
||||
|
||||
($ret, $stdout, $stderr) = $node->psql("postgres", "CREATE INDEX ON tst USING hnsw (v vector_cosine_ops, c, c);");
|
||||
like($stderr, qr/index cannot have more than two columns/);
|
||||
|
||||
($ret, $stdout, $stderr) = $node->psql("postgres", "CREATE INDEX ON tst USING hnsw (v vector_cosine_ops, v vector_cosine_ops);");
|
||||
like($stderr, qr/column 2 cannot be a vector/);
|
||||
|
||||
done_testing();
|
||||
Reference in New Issue
Block a user