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Compare commits
9 Commits
v0.6.1
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31
.github/workflows/build.yml
vendored
31
.github/workflows/build.yml
vendored
@@ -20,6 +20,8 @@ jobs:
|
||||
os: ubuntu-20.04
|
||||
- postgres: 12
|
||||
os: ubuntu-20.04
|
||||
- postgres: 11
|
||||
os: ubuntu-20.04
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- uses: ankane/setup-postgres@v1
|
||||
@@ -28,7 +30,7 @@ jobs:
|
||||
dev-files: true
|
||||
- run: make
|
||||
env:
|
||||
PG_CFLAGS: -DUSE_ASSERT_CHECKING -Wall -Wextra -Werror -Wno-unused-parameter -Wno-sign-compare
|
||||
PG_CFLAGS: -Wall -Wextra -Werror -Wno-unused-parameter -Wno-sign-compare
|
||||
- run: |
|
||||
export PG_CONFIG=`which pg_config`
|
||||
sudo --preserve-env=PG_CONFIG make install
|
||||
@@ -49,7 +51,7 @@ jobs:
|
||||
postgres-version: 14
|
||||
- run: make
|
||||
env:
|
||||
PG_CFLAGS: -DUSE_ASSERT_CHECKING -Wall -Wextra -Werror -Wno-unused-parameter
|
||||
PG_CFLAGS: -Wall -Wextra -Werror -Wno-unused-parameter
|
||||
- run: make install
|
||||
- run: make installcheck
|
||||
- if: ${{ failure() }}
|
||||
@@ -57,12 +59,10 @@ jobs:
|
||||
- run: |
|
||||
brew install cpanm
|
||||
cpanm --notest IPC::Run
|
||||
wget -q https://github.com/postgres/postgres/archive/refs/tags/REL_14_10.tar.gz
|
||||
tar xf REL_14_10.tar.gz
|
||||
- run: make prove_installcheck PROVE_FLAGS="-I ./postgres-REL_14_10/src/test/perl" PERL5LIB="/Users/runner/perl5/lib/perl5"
|
||||
wget -q https://github.com/postgres/postgres/archive/refs/tags/REL_14_5.tar.gz
|
||||
tar xf REL_14_5.tar.gz
|
||||
- run: make prove_installcheck PROVE_FLAGS="-I ./postgres-REL_14_5/src/test/perl" PERL5LIB="/Users/runner/perl5/lib/perl5"
|
||||
- run: make clean && /usr/local/opt/llvm@15/bin/scan-build --status-bugs make
|
||||
env:
|
||||
PG_CFLAGS: -DUSE_ASSERT_CHECKING
|
||||
windows:
|
||||
runs-on: windows-latest
|
||||
if: ${{ !startsWith(github.ref_name, 'mac') }}
|
||||
@@ -83,10 +83,10 @@ jobs:
|
||||
if: ${{ !startsWith(github.ref_name, 'mac') && !startsWith(github.ref_name, 'windows') }}
|
||||
runs-on: ubuntu-latest
|
||||
container:
|
||||
image: debian:12
|
||||
image: debian:11
|
||||
options: --platform linux/386
|
||||
steps:
|
||||
- run: apt-get update && apt-get install -y build-essential git libipc-run-perl postgresql-15 postgresql-server-dev-15 sudo
|
||||
- run: apt-get update && apt-get install -y build-essential git libipc-run-perl postgresql-13 postgresql-server-dev-13 sudo
|
||||
- run: service postgresql start
|
||||
- run: |
|
||||
git clone https://github.com/${{ github.repository }}.git pgvector
|
||||
@@ -99,15 +99,4 @@ jobs:
|
||||
sudo -u postgres make installcheck
|
||||
sudo -u postgres make prove_installcheck
|
||||
env:
|
||||
PG_CFLAGS: -DUSE_ASSERT_CHECKING -Wall -Wextra -Werror -Wno-unused-parameter -Wno-sign-compare
|
||||
valgrind:
|
||||
if: ${{ !startsWith(github.ref_name, 'mac') && !startsWith(github.ref_name, 'windows') }}
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- uses: ankane/setup-postgres-valgrind@v1
|
||||
with:
|
||||
postgres-version: 16
|
||||
- run: make
|
||||
- run: sudo --preserve-env=PG_CONFIG make install
|
||||
- run: make installcheck
|
||||
PG_CFLAGS: -Wall -Wextra -Werror -Wno-unused-parameter -Wno-sign-compare
|
||||
|
||||
25
CHANGELOG.md
25
CHANGELOG.md
@@ -1,24 +1,9 @@
|
||||
## 0.6.1 (2024-03-04)
|
||||
## 0.5.2 (unreleased)
|
||||
|
||||
- Fixed error with `ANALYZE` and vectors with different dimensions
|
||||
- Fixed error with `shared_preload_libraries`
|
||||
- Fixed vector subtraction being marked as commutative
|
||||
|
||||
## 0.6.0 (2024-01-29)
|
||||
|
||||
If upgrading with Postgres 12 or Docker, see [these notes](https://github.com/pgvector/pgvector#060).
|
||||
|
||||
- Added support for parallel index builds for HNSW
|
||||
- Added validation for GUC parameters
|
||||
- Changed storage for vector from `extended` to `external`
|
||||
- Improved performance of HNSW
|
||||
- Reduced memory usage for HNSW index builds
|
||||
- Added support for on-disk parallel index builds for HNSW
|
||||
- Reduced WAL generation for HNSW index builds
|
||||
- Fixed error with logical replication
|
||||
- Fixed `invalid memory alloc request size` error with HNSW index builds
|
||||
- Moved Docker image to `pgvector` org
|
||||
- Added Docker tags for each supported version of Postgres
|
||||
- Dropped support for Postgres 11
|
||||
- Fixed `invalid memory alloc request size` error with HNSW index build
|
||||
|
||||
## 0.5.1 (2023-10-10)
|
||||
|
||||
@@ -66,7 +51,7 @@ If upgrading with Postgres 12 or Docker, see [these notes](https://github.com/pg
|
||||
|
||||
## 0.4.0 (2023-01-11)
|
||||
|
||||
If upgrading with Postgres < 13, see [this note](https://github.com/pgvector/pgvector/blob/v0.4.0/README.md#040).
|
||||
If upgrading with Postgres < 13, see [this note](https://github.com/pgvector/pgvector#040).
|
||||
|
||||
- Changed text representation for vector elements to match `real`
|
||||
- Changed storage for vector from `plain` to `extended`
|
||||
@@ -83,7 +68,7 @@ If upgrading with Postgres < 13, see [this note](https://github.com/pgvector/pgv
|
||||
|
||||
## 0.3.1 (2022-11-02)
|
||||
|
||||
If upgrading from 0.2.7 or 0.3.0, [recreate](https://github.com/pgvector/pgvector/blob/v0.3.1/README.md#031) all `ivfflat` indexes after upgrading to ensure all data is indexed.
|
||||
If upgrading from 0.2.7 or 0.3.0, [recreate](https://github.com/pgvector/pgvector#031) all `ivfflat` indexes after upgrading to ensure all data is indexed.
|
||||
|
||||
- Fixed issue with inserts silently corrupting `ivfflat` indexes (introduced in 0.2.7)
|
||||
- Fixed segmentation fault with index creation when lists > 6500
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
ARG PG_MAJOR=16
|
||||
ARG PG_MAJOR=15
|
||||
FROM postgres:$PG_MAJOR
|
||||
ARG PG_MAJOR
|
||||
|
||||
|
||||
2
LICENSE
2
LICENSE
@@ -1,4 +1,4 @@
|
||||
Portions Copyright (c) 1996-2024, PostgreSQL Global Development Group
|
||||
Portions Copyright (c) 1996-2023, PostgreSQL Global Development Group
|
||||
|
||||
Portions Copyright (c) 1994, The Regents of the University of California
|
||||
|
||||
|
||||
@@ -2,7 +2,7 @@
|
||||
"name": "vector",
|
||||
"abstract": "Open-source vector similarity search for Postgres",
|
||||
"description": "Supports L2 distance, inner product, and cosine distance",
|
||||
"version": "0.6.1",
|
||||
"version": "0.5.1",
|
||||
"maintainer": [
|
||||
"Andrew Kane <andrew@ankane.org>"
|
||||
],
|
||||
@@ -12,7 +12,7 @@
|
||||
"prereqs": {
|
||||
"runtime": {
|
||||
"requires": {
|
||||
"PostgreSQL": "12.0.0"
|
||||
"PostgreSQL": "11.0.0"
|
||||
}
|
||||
}
|
||||
},
|
||||
@@ -20,7 +20,7 @@
|
||||
"vector": {
|
||||
"file": "sql/vector.sql",
|
||||
"docfile": "README.md",
|
||||
"version": "0.6.1",
|
||||
"version": "0.5.1",
|
||||
"abstract": "Open-source vector similarity search for Postgres"
|
||||
}
|
||||
},
|
||||
|
||||
10
Makefile
10
Makefile
@@ -1,5 +1,5 @@
|
||||
EXTENSION = vector
|
||||
EXTVERSION = 0.6.1
|
||||
EXTVERSION = 0.5.1
|
||||
|
||||
MODULE_big = vector
|
||||
DATA = $(wildcard sql/*--*.sql)
|
||||
@@ -65,15 +65,13 @@ dist:
|
||||
mkdir -p dist
|
||||
git archive --format zip --prefix=$(EXTENSION)-$(EXTVERSION)/ --output dist/$(EXTENSION)-$(EXTVERSION).zip master
|
||||
|
||||
# for Docker
|
||||
PG_MAJOR ?= 16
|
||||
|
||||
.PHONY: docker
|
||||
|
||||
docker:
|
||||
docker build --pull --no-cache --build-arg PG_MAJOR=$(PG_MAJOR) -t pgvector/pgvector:pg$(PG_MAJOR) -t pgvector/pgvector:$(EXTVERSION)-pg$(PG_MAJOR) .
|
||||
docker build --pull --no-cache --platform linux/amd64 -t ankane/pgvector:latest .
|
||||
|
||||
.PHONY: docker-release
|
||||
|
||||
docker-release:
|
||||
docker buildx build --push --pull --no-cache --platform linux/amd64,linux/arm64 --build-arg PG_MAJOR=$(PG_MAJOR) -t pgvector/pgvector:pg$(PG_MAJOR) -t pgvector/pgvector:$(EXTVERSION)-pg$(PG_MAJOR) .
|
||||
docker buildx build --push --pull --no-cache --platform linux/amd64,linux/arm64 -t ankane/pgvector:latest .
|
||||
docker buildx build --push --platform linux/amd64,linux/arm64 -t ankane/pgvector:v$(EXTVERSION) .
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
EXTENSION = vector
|
||||
EXTVERSION = 0.6.1
|
||||
EXTVERSION = 0.5.1
|
||||
|
||||
OBJS = src\hnsw.obj src\hnswbuild.obj src\hnswinsert.obj src\hnswscan.obj src\hnswutils.obj src\hnswvacuum.obj src\ivfbuild.obj src\ivfflat.obj src\ivfinsert.obj src\ivfkmeans.obj src\ivfscan.obj src\ivfutils.obj src\ivfvacuum.obj src\vector.obj
|
||||
HEADERS = src\vector.h
|
||||
|
||||
347
README.md
347
README.md
@@ -14,13 +14,11 @@ Plus [ACID](https://en.wikipedia.org/wiki/ACID) compliance, point-in-time recove
|
||||
|
||||
## Installation
|
||||
|
||||
### Linux and Mac
|
||||
|
||||
Compile and install the extension (supports Postgres 12+)
|
||||
Compile and install the extension (supports Postgres 11+)
|
||||
|
||||
```sh
|
||||
cd /tmp
|
||||
git clone --branch v0.6.1 https://github.com/pgvector/pgvector.git
|
||||
git clone --branch v0.5.1 https://github.com/pgvector/pgvector.git
|
||||
cd pgvector
|
||||
make
|
||||
make install # may need sudo
|
||||
@@ -28,29 +26,7 @@ make install # may need sudo
|
||||
|
||||
See the [installation notes](#installation-notes) 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).
|
||||
|
||||
### 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:
|
||||
|
||||
```cmd
|
||||
call "C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Auxiliary\Build\vcvars64.bat"
|
||||
```
|
||||
|
||||
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"
|
||||
git clone --branch v0.6.1 https://github.com/pgvector/pgvector.git
|
||||
cd pgvector
|
||||
nmake /F Makefile.win
|
||||
nmake /F Makefile.win install
|
||||
```
|
||||
|
||||
You can also install it with [Docker](#docker) or [conda-forge](#conda-forge).
|
||||
You can also install it with [Docker](#docker), [Homebrew](#homebrew), [PGXN](#pgxn), [APT](#apt), [Yum](#yum), 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).
|
||||
|
||||
## Getting Started
|
||||
|
||||
@@ -102,12 +78,6 @@ Insert vectors
|
||||
INSERT INTO items (embedding) VALUES ('[1,2,3]'), ('[4,5,6]');
|
||||
```
|
||||
|
||||
Or load vectors in bulk using `COPY` ([example](https://github.com/pgvector/pgvector-python/blob/master/examples/bulk_loading.py))
|
||||
|
||||
```sql
|
||||
COPY items (embedding) FROM STDIN WITH (FORMAT BINARY);
|
||||
```
|
||||
|
||||
Upsert vectors
|
||||
|
||||
```sql
|
||||
@@ -191,12 +161,80 @@ You can add an index to use approximate nearest neighbor search, which trades so
|
||||
|
||||
Supported index types are:
|
||||
|
||||
- [HNSW](#hnsw) - added in 0.5.0
|
||||
- [IVFFlat](#ivfflat)
|
||||
- [HNSW](#hnsw) - added in 0.5.0
|
||||
|
||||
## IVFFlat
|
||||
|
||||
An IVFFlat index divides vectors into lists, and then searches a subset of those lists that are closest to the query vector. It has faster build times and uses less memory than HNSW, but has lower query performance (in terms of speed-recall tradeoff).
|
||||
|
||||
Three keys to achieving good recall are:
|
||||
|
||||
1. Create the index *after* the table has some data
|
||||
2. Choose an appropriate number of lists - a good place to start is `rows / 1000` for up to 1M rows and `sqrt(rows)` for over 1M rows
|
||||
3. When querying, specify an appropriate number of [probes](#query-options) (higher is better for recall, lower is better for speed) - a good place to start is `sqrt(lists)`
|
||||
|
||||
Add an index for each distance function you want to use.
|
||||
|
||||
L2 distance
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING ivfflat (embedding vector_l2_ops) WITH (lists = 100);
|
||||
```
|
||||
|
||||
Inner product
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING ivfflat (embedding vector_ip_ops) WITH (lists = 100);
|
||||
```
|
||||
|
||||
Cosine distance
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING ivfflat (embedding vector_cosine_ops) WITH (lists = 100);
|
||||
```
|
||||
|
||||
Vectors with up to 2,000 dimensions can be indexed.
|
||||
|
||||
### Query Options
|
||||
|
||||
Specify the number of probes (1 by default)
|
||||
|
||||
```sql
|
||||
SET ivfflat.probes = 10;
|
||||
```
|
||||
|
||||
A higher value provides better recall at the cost of speed, and it can be set to the number of lists for exact nearest neighbor search (at which point the planner won’t use the index)
|
||||
|
||||
Use `SET LOCAL` inside a transaction to set it for a single query
|
||||
|
||||
```sql
|
||||
BEGIN;
|
||||
SET LOCAL ivfflat.probes = 10;
|
||||
SELECT ...
|
||||
COMMIT;
|
||||
```
|
||||
|
||||
### Indexing Progress
|
||||
|
||||
Check [indexing progress](https://www.postgresql.org/docs/current/progress-reporting.html#CREATE-INDEX-PROGRESS-REPORTING) with Postgres 12+
|
||||
|
||||
```sql
|
||||
SELECT phase, round(100.0 * tuples_done / nullif(tuples_total, 0), 1) AS "%" FROM pg_stat_progress_create_index;
|
||||
```
|
||||
|
||||
The phases for IVFFlat are:
|
||||
|
||||
1. `initializing`
|
||||
2. `performing k-means`
|
||||
3. `assigning tuples`
|
||||
4. `loading tuples`
|
||||
|
||||
Note: `%` is only populated during the `loading tuples` phase
|
||||
|
||||
## HNSW
|
||||
|
||||
An HNSW index creates a multilayer graph. It has better query performance than IVFFlat (in terms of speed-recall tradeoff), but has slower build times and uses more memory. Also, an index can be created without any data in the table since there isn’t a training step like IVFFlat.
|
||||
An HNSW index creates a multilayer graph. It has slower build times and uses more memory than IVFFlat, but has better query performance (in terms of speed-recall tradeoff). There’s no training step like IVFFlat, so the index can be created without any data in the table.
|
||||
|
||||
Add an index for each distance function you want to use.
|
||||
|
||||
@@ -252,34 +290,6 @@ SELECT ...
|
||||
COMMIT;
|
||||
```
|
||||
|
||||
### Index Build Time
|
||||
|
||||
Indexes build significantly faster when the graph fits into `maintenance_work_mem`
|
||||
|
||||
```sql
|
||||
SET maintenance_work_mem = '8GB';
|
||||
```
|
||||
|
||||
A notice is shown when the graph no longer fits
|
||||
|
||||
```text
|
||||
NOTICE: hnsw graph no longer fits into maintenance_work_mem after 100000 tuples
|
||||
DETAIL: Building will take significantly more time.
|
||||
HINT: Increase maintenance_work_mem to speed up builds.
|
||||
```
|
||||
|
||||
Note: Do not set `maintenance_work_mem` so high that it exhausts the memory on the server
|
||||
|
||||
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)
|
||||
|
||||
```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)
|
||||
|
||||
### Indexing Progress
|
||||
|
||||
Check [indexing progress](https://www.postgresql.org/docs/current/progress-reporting.html#CREATE-INDEX-PROGRESS-REPORTING) with Postgres 12+
|
||||
@@ -293,84 +303,6 @@ The phases for HNSW are:
|
||||
1. `initializing`
|
||||
2. `loading tuples`
|
||||
|
||||
## IVFFlat
|
||||
|
||||
An IVFFlat index divides vectors into lists, and then searches a subset of those lists that are closest to the query vector. It has faster build times and uses less memory than HNSW, but has lower query performance (in terms of speed-recall tradeoff).
|
||||
|
||||
Three keys to achieving good recall are:
|
||||
|
||||
1. Create the index *after* the table has some data
|
||||
2. Choose an appropriate number of lists - a good place to start is `rows / 1000` for up to 1M rows and `sqrt(rows)` for over 1M rows
|
||||
3. When querying, specify an appropriate number of [probes](#query-options) (higher is better for recall, lower is better for speed) - a good place to start is `sqrt(lists)`
|
||||
|
||||
Add an index for each distance function you want to use.
|
||||
|
||||
L2 distance
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING ivfflat (embedding vector_l2_ops) WITH (lists = 100);
|
||||
```
|
||||
|
||||
Inner product
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING ivfflat (embedding vector_ip_ops) WITH (lists = 100);
|
||||
```
|
||||
|
||||
Cosine distance
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING ivfflat (embedding vector_cosine_ops) WITH (lists = 100);
|
||||
```
|
||||
|
||||
Vectors with up to 2,000 dimensions can be indexed.
|
||||
|
||||
### Query Options
|
||||
|
||||
Specify the number of probes (1 by default)
|
||||
|
||||
```sql
|
||||
SET ivfflat.probes = 10;
|
||||
```
|
||||
|
||||
A higher value provides better recall at the cost of speed, and it can be set to the number of lists for exact nearest neighbor search (at which point the planner won’t use the index)
|
||||
|
||||
Use `SET LOCAL` inside a transaction to set it for a single query
|
||||
|
||||
```sql
|
||||
BEGIN;
|
||||
SET LOCAL ivfflat.probes = 10;
|
||||
SELECT ...
|
||||
COMMIT;
|
||||
```
|
||||
|
||||
### Index Build Time
|
||||
|
||||
Speed up index creation on large tables 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)
|
||||
|
||||
### Indexing Progress
|
||||
|
||||
Check [indexing progress](https://www.postgresql.org/docs/current/progress-reporting.html#CREATE-INDEX-PROGRESS-REPORTING) with Postgres 12+
|
||||
|
||||
```sql
|
||||
SELECT phase, round(100.0 * tuples_done / nullif(tuples_total, 0), 1) AS "%" FROM pg_stat_progress_create_index;
|
||||
```
|
||||
|
||||
The phases for IVFFlat are:
|
||||
|
||||
1. `initializing`
|
||||
2. `performing k-means`
|
||||
3. `assigning tuples`
|
||||
4. `loading tuples`
|
||||
|
||||
Note: `%` is only populated during the `loading tuples` phase
|
||||
|
||||
## Filtering
|
||||
|
||||
There are a few ways to index nearest neighbor queries with a `WHERE` clause
|
||||
@@ -388,7 +320,8 @@ 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
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING hnsw (embedding vector_l2_ops) WHERE (category_id = 123);
|
||||
CREATE INDEX ON items USING ivfflat (embedding vector_l2_ops) WITH (lists = 100)
|
||||
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
|
||||
@@ -438,15 +371,6 @@ To speed up queries with an IVFFlat index, increase the number of inverted lists
|
||||
CREATE INDEX ON items USING ivfflat (embedding vector_l2_ops) WITH (lists = 1000);
|
||||
```
|
||||
|
||||
## Vacuuming
|
||||
|
||||
Vacuuming can take a while for HNSW indexes. Speed it up by reindexing first.
|
||||
|
||||
```sql
|
||||
REINDEX INDEX CONCURRENTLY index_name;
|
||||
VACUUM table_name;
|
||||
```
|
||||
|
||||
## Languages
|
||||
|
||||
Use pgvector from any language with a Postgres client. You can even generate and store vectors in one language and query them in another.
|
||||
@@ -631,7 +555,7 @@ sum(vector) → vector | sum | 0.5.0
|
||||
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/16/bin/pg_config
|
||||
export PG_CONFIG=/Applications/Postgres.app/Contents/Versions/latest/bin/pg_config
|
||||
```
|
||||
|
||||
Then re-run the installation instructions (run `make clean` before `make` if needed). If `sudo` is needed for `make install`, use:
|
||||
@@ -640,14 +564,6 @@ Then re-run the installation instructions (run `make clean` before `make` if nee
|
||||
sudo --preserve-env=PG_CONFIG make install
|
||||
```
|
||||
|
||||
A few common paths on Mac are:
|
||||
|
||||
- EDB installer - `/Library/PostgreSQL/16/bin/pg_config`
|
||||
- Homebrew (arm64) - `/opt/homebrew/opt/postgresql@16/bin/pg_config`
|
||||
- Homebrew (x86-64) - `/usr/local/opt/postgresql@16/bin/pg_config`
|
||||
|
||||
Note: Replace `16` with your Postgres server version
|
||||
|
||||
### Missing Header
|
||||
|
||||
If compilation fails with `fatal error: postgres.h: No such file or directory`, make sure Postgres development files are installed on the server.
|
||||
@@ -655,41 +571,49 @@ 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-16
|
||||
sudo apt install postgresql-server-dev-15
|
||||
```
|
||||
|
||||
Note: Replace `16` with your Postgres server version
|
||||
Note: Replace `15` with your Postgres server version
|
||||
|
||||
### Missing SDK
|
||||
### Windows
|
||||
|
||||
If compilation fails and the output includes `warning: no such sysroot directory` on Mac, reinstall Xcode Command Line Tools.
|
||||
Support for Windows is currently experimental. 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:
|
||||
|
||||
### Portability
|
||||
```cmd
|
||||
call "C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Auxiliary\Build\vcvars64.bat"
|
||||
```
|
||||
|
||||
To compile for portability, use:
|
||||
Note: The exact path will vary depending on your Visual Studio version and edition
|
||||
|
||||
```sh
|
||||
make OPTFLAGS=""
|
||||
Then use `nmake` to build:
|
||||
|
||||
```cmd
|
||||
set "PGROOT=C:\Program Files\PostgreSQL\15"
|
||||
git clone --branch v0.5.1 https://github.com/pgvector/pgvector.git
|
||||
cd pgvector
|
||||
nmake /F Makefile.win
|
||||
nmake /F Makefile.win install
|
||||
```
|
||||
|
||||
## Additional Installation Methods
|
||||
|
||||
### Docker
|
||||
|
||||
Get the [Docker image](https://hub.docker.com/r/pgvector/pgvector) with:
|
||||
Get the [Docker image](https://hub.docker.com/r/ankane/pgvector) with:
|
||||
|
||||
```sh
|
||||
docker pull pgvector/pgvector:pg16
|
||||
docker pull ankane/pgvector
|
||||
```
|
||||
|
||||
This adds pgvector to the [Postgres image](https://hub.docker.com/_/postgres) (replace `16` with your Postgres server version, and run it the same way).
|
||||
This adds pgvector to the [Postgres image](https://hub.docker.com/_/postgres) (run it the same way).
|
||||
|
||||
You can also build the image manually:
|
||||
|
||||
```sh
|
||||
git clone --branch v0.6.1 https://github.com/pgvector/pgvector.git
|
||||
git clone --branch v0.5.1 https://github.com/pgvector/pgvector.git
|
||||
cd pgvector
|
||||
docker build --build-arg PG_MAJOR=16 -t myuser/pgvector .
|
||||
docker build --build-arg PG_MAJOR=15 -t myuser/pgvector .
|
||||
```
|
||||
|
||||
### Homebrew
|
||||
@@ -715,37 +639,22 @@ 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-16-pgvector
|
||||
sudo apt install postgresql-15-pgvector
|
||||
```
|
||||
|
||||
Note: Replace `16` with your Postgres server version
|
||||
Note: Replace `15` 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_16
|
||||
sudo yum install pgvector_15
|
||||
# or
|
||||
sudo dnf install pgvector_16
|
||||
sudo dnf install pgvector_15
|
||||
```
|
||||
|
||||
Note: Replace `16` with your Postgres server version
|
||||
|
||||
### pkg
|
||||
|
||||
Install the FreeBSD package with:
|
||||
|
||||
```sh
|
||||
pkg install postgresql15-pg_vector
|
||||
```
|
||||
|
||||
or the port with:
|
||||
|
||||
```sh
|
||||
cd /usr/ports/databases/pgvector
|
||||
make install
|
||||
```
|
||||
Note: Replace `15` with your Postgres server version
|
||||
|
||||
### conda-forge
|
||||
|
||||
@@ -781,32 +690,28 @@ SELECT extversion FROM pg_extension WHERE extname = 'vector';
|
||||
|
||||
## Upgrade Notes
|
||||
|
||||
### 0.6.0
|
||||
### 0.4.0
|
||||
|
||||
#### Postgres 12
|
||||
|
||||
If upgrading with Postgres 12, remove this line from `sql/vector--0.5.1--0.6.0.sql`:
|
||||
If upgrading with Postgres < 13, remove this line from `sql/vector--0.3.2--0.4.0.sql`:
|
||||
|
||||
```sql
|
||||
ALTER TYPE vector SET (STORAGE = external);
|
||||
ALTER TYPE vector SET (STORAGE = extended);
|
||||
```
|
||||
|
||||
Then run `make install` and `ALTER EXTENSION vector UPDATE;`.
|
||||
|
||||
#### Docker
|
||||
### 0.3.1
|
||||
|
||||
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).
|
||||
If upgrading from 0.2.7 or 0.3.0, recreate all `ivfflat` indexes after upgrading to ensure all data is indexed.
|
||||
|
||||
```sh
|
||||
docker pull pgvector/pgvector:pg16
|
||||
# or
|
||||
docker pull pgvector/pgvector:0.6.0-pg16
|
||||
```
|
||||
```sql
|
||||
-- Postgres 12+
|
||||
REINDEX INDEX CONCURRENTLY index_name;
|
||||
|
||||
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 ...
|
||||
-- Postgres < 12
|
||||
CREATE INDEX CONCURRENTLY temp_name ON table USING ivfflat (column opclass);
|
||||
DROP INDEX CONCURRENTLY index_name;
|
||||
ALTER INDEX temp_name RENAME TO index_name;
|
||||
```
|
||||
|
||||
## Thanks
|
||||
@@ -852,32 +757,14 @@ make prove_installcheck # TAP tests
|
||||
To run single tests:
|
||||
|
||||
```sh
|
||||
make installcheck REGRESS=functions # regression test
|
||||
make prove_installcheck PROVE_TESTS=test/t/001_ivfflat_wal.pl # TAP test
|
||||
make installcheck REGRESS=functions # regression test
|
||||
make prove_installcheck PROVE_TESTS=test/t/001_wal.pl # TAP test
|
||||
```
|
||||
|
||||
To enable benchmarking:
|
||||
|
||||
```sh
|
||||
make clean && PG_CFLAGS="-DIVFFLAT_BENCH" make && make install
|
||||
```
|
||||
|
||||
To show memory usage:
|
||||
|
||||
```sh
|
||||
make clean && PG_CFLAGS="-DHNSW_MEMORY -DIVFFLAT_MEMORY" make && make install
|
||||
```
|
||||
|
||||
To enable assertions:
|
||||
|
||||
```sh
|
||||
make clean && PG_CFLAGS="-DUSE_ASSERT_CHECKING" make && make install
|
||||
```
|
||||
|
||||
To get k-means metrics:
|
||||
|
||||
```sh
|
||||
make clean && PG_CFLAGS="-DIVFFLAT_KMEANS_DEBUG" make && make install
|
||||
make clean && PG_CFLAGS=-DIVFFLAT_BENCH make && make install
|
||||
```
|
||||
|
||||
Resources for contributors
|
||||
|
||||
@@ -1,5 +0,0 @@
|
||||
-- complain if script is sourced in psql, rather than via CREATE EXTENSION
|
||||
\echo Use "ALTER EXTENSION vector UPDATE TO '0.6.0'" to load this file. \quit
|
||||
|
||||
-- remove this single line for Postgres < 13
|
||||
ALTER TYPE vector SET (STORAGE = external);
|
||||
@@ -1,16 +0,0 @@
|
||||
-- complain if script is sourced in psql, rather than via CREATE EXTENSION
|
||||
\echo Use "ALTER EXTENSION vector UPDATE TO '0.6.1'" to load this file. \quit
|
||||
|
||||
DROP OPERATOR - (vector, vector);
|
||||
|
||||
CREATE OPERATOR - (
|
||||
LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_sub
|
||||
);
|
||||
|
||||
ALTER OPERATOR <= (vector, vector) SET (
|
||||
RESTRICT = scalarlesel, JOIN = scalarlejoinsel
|
||||
);
|
||||
|
||||
ALTER OPERATOR >= (vector, vector) SET (
|
||||
RESTRICT = scalargesel, JOIN = scalargejoinsel
|
||||
);
|
||||
@@ -26,7 +26,7 @@ CREATE TYPE vector (
|
||||
TYPMOD_IN = vector_typmod_in,
|
||||
RECEIVE = vector_recv,
|
||||
SEND = vector_send,
|
||||
STORAGE = external
|
||||
STORAGE = extended
|
||||
);
|
||||
|
||||
-- functions
|
||||
@@ -180,7 +180,8 @@ CREATE OPERATOR + (
|
||||
);
|
||||
|
||||
CREATE OPERATOR - (
|
||||
LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_sub
|
||||
LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_sub,
|
||||
COMMUTATOR = -
|
||||
);
|
||||
|
||||
CREATE OPERATOR * (
|
||||
@@ -194,10 +195,11 @@ CREATE OPERATOR < (
|
||||
RESTRICT = scalarltsel, JOIN = scalarltjoinsel
|
||||
);
|
||||
|
||||
-- should use scalarlesel and scalarlejoinsel, but not supported in Postgres < 11
|
||||
CREATE OPERATOR <= (
|
||||
LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_le,
|
||||
COMMUTATOR = >= , NEGATOR = > ,
|
||||
RESTRICT = scalarlesel, JOIN = scalarlejoinsel
|
||||
RESTRICT = scalarltsel, JOIN = scalarltjoinsel
|
||||
);
|
||||
|
||||
CREATE OPERATOR = (
|
||||
@@ -212,10 +214,11 @@ CREATE OPERATOR <> (
|
||||
RESTRICT = eqsel, JOIN = eqjoinsel
|
||||
);
|
||||
|
||||
-- should use scalargesel and scalargejoinsel, but not supported in Postgres < 11
|
||||
CREATE OPERATOR >= (
|
||||
LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_ge,
|
||||
COMMUTATOR = <= , NEGATOR = < ,
|
||||
RESTRICT = scalargesel, JOIN = scalargejoinsel
|
||||
RESTRICT = scalargtsel, JOIN = scalargtjoinsel
|
||||
);
|
||||
|
||||
CREATE OPERATOR > (
|
||||
|
||||
57
src/hnsw.c
57
src/hnsw.c
@@ -4,59 +4,25 @@
|
||||
#include <math.h>
|
||||
|
||||
#include "access/amapi.h"
|
||||
#include "access/reloptions.h"
|
||||
#include "commands/progress.h"
|
||||
#include "commands/vacuum.h"
|
||||
#include "hnsw.h"
|
||||
#include "miscadmin.h"
|
||||
#include "utils/guc.h"
|
||||
#include "utils/selfuncs.h"
|
||||
|
||||
#if PG_VERSION_NUM < 150000
|
||||
#define MarkGUCPrefixReserved(x) EmitWarningsOnPlaceholders(x)
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
#include "commands/progress.h"
|
||||
#endif
|
||||
|
||||
int hnsw_ef_search;
|
||||
int hnsw_lock_tranche_id;
|
||||
bool hnsw_enable_parallel_build;
|
||||
static relopt_kind hnsw_relopt_kind;
|
||||
|
||||
/*
|
||||
* Assign a tranche ID for our LWLocks. This only needs to be done by one
|
||||
* backend, as the tranche ID is remembered in shared memory.
|
||||
*
|
||||
* This shared memory area is very small, so we just allocate it from the
|
||||
* "slop" that PostgreSQL reserves for small allocations like this. If
|
||||
* this grows bigger, we should use a shmem_request_hook and
|
||||
* RequestAddinShmemSpace() to pre-reserve space for this.
|
||||
*/
|
||||
void
|
||||
HnswInitLockTranche(void)
|
||||
{
|
||||
int *tranche_ids;
|
||||
bool found;
|
||||
|
||||
LWLockAcquire(AddinShmemInitLock, LW_EXCLUSIVE);
|
||||
tranche_ids = ShmemInitStruct("hnsw LWLock ids",
|
||||
sizeof(int) * 1,
|
||||
&found);
|
||||
if (!found)
|
||||
tranche_ids[0] = LWLockNewTrancheId();
|
||||
hnsw_lock_tranche_id = tranche_ids[0];
|
||||
LWLockRelease(AddinShmemInitLock);
|
||||
|
||||
/* Per-backend registration of the tranche ID */
|
||||
LWLockRegisterTranche(hnsw_lock_tranche_id, "HnswBuild");
|
||||
}
|
||||
|
||||
/*
|
||||
* Initialize index options and variables
|
||||
*/
|
||||
void
|
||||
HnswInit(void)
|
||||
{
|
||||
if (!process_shared_preload_libraries_in_progress)
|
||||
HnswInitLockTranche();
|
||||
|
||||
hnsw_relopt_kind = add_reloption_kind();
|
||||
add_int_reloption(hnsw_relopt_kind, "m", "Max number of connections",
|
||||
HNSW_DEFAULT_M, HNSW_MIN_M, HNSW_MAX_M
|
||||
@@ -75,12 +41,16 @@ 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);
|
||||
|
||||
MarkGUCPrefixReserved("hnsw");
|
||||
/* Behind a variable for now since can be slower than building in memory */
|
||||
DefineCustomBoolVariable("hnsw.enable_parallel_build", "Enables or disables building indexes in parallel",
|
||||
NULL, &hnsw_enable_parallel_build,
|
||||
false, PGC_USERSET, 0, NULL, NULL, NULL);
|
||||
}
|
||||
|
||||
/*
|
||||
* Get the name of index build phase
|
||||
*/
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
static char *
|
||||
hnswbuildphasename(int64 phasenum)
|
||||
{
|
||||
@@ -94,6 +64,7 @@ hnswbuildphasename(int64 phasenum)
|
||||
return NULL;
|
||||
}
|
||||
}
|
||||
#endif
|
||||
|
||||
/*
|
||||
* Estimate the cost of an index scan
|
||||
@@ -108,6 +79,9 @@ hnswcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
||||
int m;
|
||||
int entryLevel;
|
||||
Relation index;
|
||||
#if PG_VERSION_NUM < 120000
|
||||
List *qinfos;
|
||||
#endif
|
||||
|
||||
/* Never use index without order */
|
||||
if (path->indexorderbys == NULL)
|
||||
@@ -133,7 +107,12 @@ hnswcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
||||
/* Account for number of tuples (or entry level), m, and ef_search */
|
||||
costs.numIndexTuples = (entryLevel + 2) * m;
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
genericcostestimate(root, path, loop_count, &costs);
|
||||
#else
|
||||
qinfos = deconstruct_indexquals(path);
|
||||
genericcostestimate(root, path, loop_count, qinfos, &costs);
|
||||
#endif
|
||||
|
||||
/* Use total cost since most work happens before first tuple is returned */
|
||||
*indexStartupCost = costs.indexTotalCost;
|
||||
@@ -227,7 +206,9 @@ hnswhandler(PG_FUNCTION_ARGS)
|
||||
amroutine->amcostestimate = hnswcostestimate;
|
||||
amroutine->amoptions = hnswoptions;
|
||||
amroutine->amproperty = NULL; /* TODO AMPROP_DISTANCE_ORDERABLE */
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
amroutine->ambuildphasename = hnswbuildphasename;
|
||||
#endif
|
||||
amroutine->amvalidate = hnswvalidate;
|
||||
#if PG_VERSION_NUM >= 140000
|
||||
amroutine->amadjustmembers = NULL;
|
||||
|
||||
158
src/hnsw.h
158
src/hnsw.h
@@ -3,17 +3,20 @@
|
||||
|
||||
#include "postgres.h"
|
||||
|
||||
#include "access/genam.h"
|
||||
#include "access/generic_xlog.h"
|
||||
#include "access/parallel.h"
|
||||
#include "lib/pairingheap.h"
|
||||
#include "access/reloptions.h"
|
||||
#include "nodes/execnodes.h"
|
||||
#include "port.h" /* for random() */
|
||||
#include "utils/relptr.h"
|
||||
#include "utils/sampling.h"
|
||||
#include "vector.h"
|
||||
|
||||
#if PG_VERSION_NUM < 110000
|
||||
#error "Requires PostgreSQL 11+"
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM < 120000
|
||||
#error "Requires PostgreSQL 12+"
|
||||
#include "access/relscan.h"
|
||||
#endif
|
||||
|
||||
#define HNSW_MAX_DIM 2000
|
||||
@@ -60,27 +63,22 @@
|
||||
#define PROGRESS_HNSW_PHASE_LOAD 2
|
||||
|
||||
#define HNSW_MAX_SIZE (BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(HnswPageOpaqueData)) - sizeof(ItemIdData))
|
||||
#define HNSW_TUPLE_ALLOC_SIZE BLCKSZ
|
||||
|
||||
#define HNSW_ELEMENT_TUPLE_SIZE(size) MAXALIGN(offsetof(HnswElementTupleData, data) + (size))
|
||||
#define HNSW_NEIGHBOR_TUPLE_SIZE(level, m) MAXALIGN(offsetof(HnswNeighborTupleData, indextids) + ((level) + 2) * (m) * sizeof(ItemPointerData))
|
||||
|
||||
#define HNSW_NEIGHBOR_ARRAY_SIZE(lm) (offsetof(HnswNeighborArray, items) + sizeof(HnswCandidate) * (lm))
|
||||
|
||||
#define HnswPageGetOpaque(page) ((HnswPageOpaque) PageGetSpecialPointer(page))
|
||||
#define HnswPageGetMeta(page) ((HnswMetaPageData *) PageGetContents(page))
|
||||
|
||||
#if PG_VERSION_NUM >= 150000
|
||||
#define RandomDouble() pg_prng_double(&pg_global_prng_state)
|
||||
#define SeedRandom(seed) pg_prng_seed(&pg_global_prng_state, seed)
|
||||
#else
|
||||
#define RandomDouble() (((double) random()) / MAX_RANDOM_VALUE)
|
||||
#define SeedRandom(seed) srandom(seed)
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM < 130000
|
||||
#define list_delete_last(list) list_truncate(list, list_length(list) - 1)
|
||||
#define list_sort(list, cmp) ((list) = list_qsort(list, cmp))
|
||||
#define list_sort(list, cmp) list_qsort(list, cmp)
|
||||
#endif
|
||||
|
||||
#define HnswIsElementTuple(tup) ((tup)->type == HNSW_ELEMENT_TUPLE_TYPE)
|
||||
@@ -93,64 +91,33 @@
|
||||
#define HnswGetMl(m) (1 / log(m))
|
||||
|
||||
/* Ensure fits on page and in uint8 */
|
||||
#define HnswGetMaxLevel(m) Min(((BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(HnswPageOpaqueData)) - offsetof(HnswNeighborTupleData, indextids) - sizeof(ItemIdData)) / (sizeof(ItemPointerData)) / (m)) - 2, 255)
|
||||
|
||||
#define HnswGetValue(base, element) PointerGetDatum(HnswPtrAccess(base, (element)->value))
|
||||
|
||||
#if PG_VERSION_NUM < 140005
|
||||
#define relptr_offset(rp) ((rp).relptr_off - 1)
|
||||
#endif
|
||||
|
||||
/* Pointer macros */
|
||||
#define HnswPtrAccess(base, hp) ((base) == NULL ? (hp).ptr : relptr_access(base, (hp).relptr))
|
||||
#define HnswPtrStore(base, hp, value) ((base) == NULL ? (void) ((hp).ptr = (value)) : (void) relptr_store(base, (hp).relptr, value))
|
||||
#define HnswPtrIsNull(base, hp) ((base) == NULL ? (hp).ptr == NULL : relptr_is_null((hp).relptr))
|
||||
#define HnswPtrEqual(base, hp1, hp2) ((base) == NULL ? (hp1).ptr == (hp2).ptr : relptr_offset((hp1).relptr) == relptr_offset((hp2).relptr))
|
||||
|
||||
/* For code paths dedicated to each type */
|
||||
#define HnswPtrPointer(hp) (hp).ptr
|
||||
#define HnswPtrOffset(hp) relptr_offset((hp).relptr)
|
||||
#define HnswGetMaxLevel(m) Min(((BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(HnswPageOpaqueData)) - offsetof(HnswNeighborTupleData, indextids) - sizeof(ItemIdData)) / (sizeof(ItemPointerData)) / m) - 2, 255)
|
||||
|
||||
/* Variables */
|
||||
extern int hnsw_ef_search;
|
||||
extern int hnsw_lock_tranche_id;
|
||||
extern bool hnsw_enable_parallel_build;
|
||||
|
||||
typedef struct HnswElementData HnswElementData;
|
||||
typedef struct HnswNeighborArray HnswNeighborArray;
|
||||
|
||||
#define HnswPtrDeclare(type, relptrtype, ptrtype) \
|
||||
relptr_declare(type, relptrtype); \
|
||||
typedef union { type *ptr; relptrtype relptr; } ptrtype;
|
||||
|
||||
/* Pointers that can be absolute or relative */
|
||||
/* Use char for DatumPtr so works with Pointer */
|
||||
HnswPtrDeclare(HnswElementData, HnswElementRelptr, HnswElementPtr);
|
||||
HnswPtrDeclare(HnswNeighborArray, HnswNeighborArrayRelptr, HnswNeighborArrayPtr);
|
||||
HnswPtrDeclare(HnswNeighborArrayPtr, HnswNeighborsRelptr, HnswNeighborsPtr);
|
||||
HnswPtrDeclare(char, DatumRelptr, DatumPtr);
|
||||
|
||||
typedef struct HnswElementData
|
||||
{
|
||||
HnswElementPtr next;
|
||||
ItemPointerData heaptids[HNSW_HEAPTIDS];
|
||||
uint8 heaptidsLength;
|
||||
List *heaptids;
|
||||
uint8 level;
|
||||
uint8 deleted;
|
||||
uint32 hash;
|
||||
HnswNeighborsPtr neighbors;
|
||||
HnswNeighborArray *neighbors;
|
||||
BlockNumber blkno;
|
||||
OffsetNumber offno;
|
||||
OffsetNumber neighborOffno;
|
||||
BlockNumber neighborPage;
|
||||
DatumPtr value;
|
||||
LWLock lock;
|
||||
Datum value;
|
||||
} HnswElementData;
|
||||
|
||||
typedef HnswElementData * HnswElement;
|
||||
|
||||
typedef struct HnswCandidate
|
||||
{
|
||||
HnswElementPtr element;
|
||||
HnswElement element;
|
||||
float distance;
|
||||
bool closer;
|
||||
} HnswCandidate;
|
||||
@@ -159,7 +126,7 @@ typedef struct HnswNeighborArray
|
||||
{
|
||||
int length;
|
||||
bool closerSet;
|
||||
HnswCandidate items[FLEXIBLE_ARRAY_MEMBER];
|
||||
HnswCandidate *items;
|
||||
} HnswNeighborArray;
|
||||
|
||||
typedef struct HnswPairingHeapNode
|
||||
@@ -176,26 +143,11 @@ typedef struct HnswOptions
|
||||
int efConstruction; /* size of dynamic candidate list */
|
||||
} HnswOptions;
|
||||
|
||||
typedef struct HnswGraph
|
||||
typedef struct HnswSpool
|
||||
{
|
||||
/* Graph state */
|
||||
slock_t lock;
|
||||
HnswElementPtr head;
|
||||
double indtuples;
|
||||
|
||||
/* Entry state */
|
||||
LWLock entryLock;
|
||||
HnswElementPtr entryPoint;
|
||||
|
||||
/* Allocations state */
|
||||
LWLock allocatorLock;
|
||||
long memoryUsed;
|
||||
long memoryTotal;
|
||||
|
||||
/* Flushed state */
|
||||
LWLock flushLock;
|
||||
bool flushed;
|
||||
} HnswGraph;
|
||||
Relation heap;
|
||||
Relation index;
|
||||
} HnswSpool;
|
||||
|
||||
typedef struct HnswShared
|
||||
{
|
||||
@@ -203,6 +155,7 @@ typedef struct HnswShared
|
||||
Oid heaprelid;
|
||||
Oid indexrelid;
|
||||
bool isconcurrent;
|
||||
int scantuplesortstates;
|
||||
|
||||
/* Worker progress */
|
||||
ConditionVariable workersdonecv;
|
||||
@@ -213,11 +166,17 @@ typedef struct HnswShared
|
||||
/* Mutable state */
|
||||
int nparticipantsdone;
|
||||
double reltuples;
|
||||
HnswGraph graphData;
|
||||
double indtuples;
|
||||
|
||||
#if PG_VERSION_NUM < 120000
|
||||
ParallelHeapScanDescData heapdesc; /* must come last */
|
||||
#endif
|
||||
} HnswShared;
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
#define ParallelTableScanFromHnswShared(shared) \
|
||||
(ParallelTableScanDesc) ((char *) (shared) + BUFFERALIGN(sizeof(HnswShared)))
|
||||
#endif
|
||||
|
||||
typedef struct HnswLeader
|
||||
{
|
||||
@@ -225,15 +184,8 @@ typedef struct HnswLeader
|
||||
int nparticipanttuplesorts;
|
||||
HnswShared *hnswshared;
|
||||
Snapshot snapshot;
|
||||
char *hnswarea;
|
||||
} HnswLeader;
|
||||
|
||||
typedef struct HnswAllocator
|
||||
{
|
||||
void *(*alloc) (Size size, void *state);
|
||||
void *state;
|
||||
} HnswAllocator;
|
||||
|
||||
typedef struct HnswBuildState
|
||||
{
|
||||
/* Info */
|
||||
@@ -257,21 +209,20 @@ typedef struct HnswBuildState
|
||||
Oid collation;
|
||||
|
||||
/* Variables */
|
||||
HnswGraph graphData;
|
||||
HnswGraph *graph;
|
||||
List *elements;
|
||||
HnswElement entryPoint;
|
||||
double ml;
|
||||
int maxLevel;
|
||||
long memoryLeft;
|
||||
bool flushed;
|
||||
Vector *normvec;
|
||||
|
||||
/* Memory */
|
||||
MemoryContext graphCtx;
|
||||
MemoryContext tmpCtx;
|
||||
HnswAllocator allocator;
|
||||
|
||||
/* Parallel builds */
|
||||
HnswLeader *hnswleader;
|
||||
HnswShared *hnswshared;
|
||||
char *hnswarea;
|
||||
} HnswBuildState;
|
||||
|
||||
typedef struct HnswMetaPageData
|
||||
@@ -370,26 +321,26 @@ bool HnswNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * re
|
||||
Buffer HnswNewBuffer(Relation index, ForkNumber forkNum);
|
||||
void HnswInitPage(Buffer buf, Page page);
|
||||
void HnswInit(void);
|
||||
List *HnswSearchLayer(char *base, Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, int m, bool inserting, HnswElement skipElement);
|
||||
List *HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, int m, bool inserting, HnswElement skipElement);
|
||||
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 HnswInitElement(ItemPointer tid, int m, double ml, int maxLevel);
|
||||
void HnswFreeElement(HnswElement element);
|
||||
HnswElement HnswInitElementFromBlock(BlockNumber blkno, OffsetNumber offno);
|
||||
void HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint, Relation index, FmgrInfo *procinfo, Oid collation, int m, int efConstruction, bool existing);
|
||||
HnswCandidate *HnswEntryCandidate(char *base, HnswElement em, Datum q, Relation rel, FmgrInfo *procinfo, Oid collation, bool loadVec);
|
||||
void HnswInsertElement(HnswElement element, HnswElement entryPoint, Relation index, FmgrInfo *procinfo, Oid collation, int m, int efConstruction, bool existing);
|
||||
HnswElement HnswFindDuplicate(HnswElement e);
|
||||
HnswCandidate *HnswEntryCandidate(HnswElement em, Datum q, Relation rel, FmgrInfo *procinfo, Oid collation, 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);
|
||||
void HnswSetNeighborTuple(HnswNeighborTuple ntup, HnswElement e, int m);
|
||||
void HnswAddHeapTid(HnswElement element, ItemPointer heaptid);
|
||||
void HnswInitNeighbors(char *base, HnswElement element, int m, HnswAllocator * alloc);
|
||||
bool HnswInsertTupleOnDisk(Relation index, Datum value, Datum *values, bool *isnull, ItemPointer heap_tid, bool building);
|
||||
void HnswUpdateNeighborsOnDisk(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement e, int m, bool checkExisting, bool building);
|
||||
void HnswInitNeighbors(HnswElement element, int m);
|
||||
bool HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel, bool building);
|
||||
void HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement e, int m, bool checkExisting, bool building);
|
||||
void HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHeaptids, bool loadVec);
|
||||
void HnswLoadElement(HnswElement element, float *distance, Datum *q, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec);
|
||||
void HnswSetElementTuple(char *base, HnswElementTuple etup, HnswElement element);
|
||||
void HnswUpdateConnection(char *base, HnswElement element, HnswCandidate * hc, int lm, int lc, int *updateIdx, Relation index, FmgrInfo *procinfo, Oid collation);
|
||||
void HnswSetElementTuple(HnswElementTuple etup, HnswElement element);
|
||||
void HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int *updateIdx, Relation index, FmgrInfo *procinfo, Oid collation);
|
||||
void HnswLoadNeighbors(HnswElement element, Relation index, int m);
|
||||
void HnswInitLockTranche(void);
|
||||
PGDLLEXPORT void HnswParallelBuildMain(dsm_segment *seg, shm_toc *toc);
|
||||
|
||||
/* Index access methods */
|
||||
@@ -408,16 +359,6 @@ void hnswrescan(IndexScanDesc scan, ScanKey keys, int nkeys, ScanKey orderbys,
|
||||
bool hnswgettuple(IndexScanDesc scan, ScanDirection dir);
|
||||
void hnswendscan(IndexScanDesc scan);
|
||||
|
||||
static inline HnswNeighborArray *
|
||||
HnswGetNeighbors(char *base, HnswElement element, int lc)
|
||||
{
|
||||
HnswNeighborArrayPtr *neighborList = HnswPtrAccess(base, element->neighbors);
|
||||
|
||||
Assert(element->level >= lc);
|
||||
|
||||
return HnswPtrAccess(base, neighborList[lc]);
|
||||
}
|
||||
|
||||
/* Hash tables */
|
||||
typedef struct TidHashEntry
|
||||
{
|
||||
@@ -445,17 +386,4 @@ typedef struct PointerHashEntry
|
||||
#define SH_DECLARE
|
||||
#include "lib/simplehash.h"
|
||||
|
||||
typedef struct OffsetHashEntry
|
||||
{
|
||||
Size offset;
|
||||
char status;
|
||||
} OffsetHashEntry;
|
||||
|
||||
#define SH_PREFIX offsethash
|
||||
#define SH_ELEMENT_TYPE OffsetHashEntry
|
||||
#define SH_KEY_TYPE Size
|
||||
#define SH_SCOPE extern
|
||||
#define SH_DECLARE
|
||||
#include "lib/simplehash.h"
|
||||
|
||||
#endif
|
||||
|
||||
763
src/hnswbuild.c
763
src/hnswbuild.c
File diff suppressed because it is too large
Load Diff
182
src/hnswinsert.c
182
src/hnswinsert.c
@@ -2,11 +2,9 @@
|
||||
|
||||
#include <math.h>
|
||||
|
||||
#include "access/generic_xlog.h"
|
||||
#include "hnsw.h"
|
||||
#include "storage/bufmgr.h"
|
||||
#include "storage/lmgr.h"
|
||||
#include "utils/datum.h"
|
||||
#include "utils/memutils.h"
|
||||
|
||||
/*
|
||||
@@ -117,7 +115,7 @@ HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState
|
||||
* Add to element and neighbor pages
|
||||
*/
|
||||
static void
|
||||
AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, BlockNumber *updatedInsertPage, bool building)
|
||||
WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPage, BlockNumber *updatedInsertPage, bool building)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
@@ -135,10 +133,9 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
|
||||
OffsetNumber freeOffno = InvalidOffsetNumber;
|
||||
OffsetNumber freeNeighborOffno = InvalidOffsetNumber;
|
||||
BlockNumber newInsertPage = InvalidBlockNumber;
|
||||
char *base = NULL;
|
||||
|
||||
/* Calculate sizes */
|
||||
etupSize = HNSW_ELEMENT_TUPLE_SIZE(VARSIZE_ANY(HnswPtrAccess(base, e->value)));
|
||||
etupSize = HNSW_ELEMENT_TUPLE_SIZE(VARSIZE_ANY(DatumGetPointer(e->value)));
|
||||
ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(e->level, m);
|
||||
combinedSize = etupSize + ntupSize + sizeof(ItemIdData);
|
||||
maxSize = HNSW_MAX_SIZE;
|
||||
@@ -146,11 +143,11 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
|
||||
|
||||
/* Prepare element tuple */
|
||||
etup = palloc0(etupSize);
|
||||
HnswSetElementTuple(base, etup, e);
|
||||
HnswSetElementTuple(etup, e);
|
||||
|
||||
/* Prepare neighbor tuple */
|
||||
ntup = palloc0(ntupSize);
|
||||
HnswSetNeighborTuple(base, ntup, e, m);
|
||||
HnswSetNeighborTuple(ntup, e, m);
|
||||
|
||||
/* Find a page (or two if needed) to insert the tuples */
|
||||
for (;;)
|
||||
@@ -222,9 +219,7 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
|
||||
HnswInsertAppendPage(index, &newbuf, &newpage, state, page, building);
|
||||
|
||||
/* Commit */
|
||||
if (building)
|
||||
MarkBufferDirty(buf);
|
||||
else
|
||||
if (!building)
|
||||
GenericXLogFinish(state);
|
||||
|
||||
/* Unlock previous buffer */
|
||||
@@ -299,13 +294,7 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
|
||||
}
|
||||
|
||||
/* Commit */
|
||||
if (building)
|
||||
{
|
||||
MarkBufferDirty(buf);
|
||||
if (nbuf != buf)
|
||||
MarkBufferDirty(nbuf);
|
||||
}
|
||||
else
|
||||
if (!building)
|
||||
GenericXLogFinish(state);
|
||||
UnlockReleaseBuffer(buf);
|
||||
if (nbuf != buf)
|
||||
@@ -340,14 +329,12 @@ ConnectionExists(HnswElement e, HnswNeighborTuple ntup, int startIdx, int lm)
|
||||
* Update neighbors
|
||||
*/
|
||||
void
|
||||
HnswUpdateNeighborsOnDisk(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement e, int m, bool checkExisting, bool building)
|
||||
HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement e, int m, bool checkExisting, bool building)
|
||||
{
|
||||
char *base = NULL;
|
||||
|
||||
for (int lc = e->level; lc >= 0; lc--)
|
||||
{
|
||||
int lm = HnswGetLayerM(m, lc);
|
||||
HnswNeighborArray *neighbors = HnswGetNeighbors(base, e, lc);
|
||||
HnswNeighborArray *neighbors = &e->neighbors[lc];
|
||||
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
{
|
||||
@@ -355,15 +342,16 @@ HnswUpdateNeighborsOnDisk(Relation index, FmgrInfo *procinfo, Oid collation, Hns
|
||||
Buffer buf;
|
||||
Page page;
|
||||
GenericXLogState *state;
|
||||
ItemId itemid;
|
||||
HnswNeighborTuple ntup;
|
||||
Size ntupSize;
|
||||
int idx = -1;
|
||||
int startIdx;
|
||||
HnswElement neighborElement = HnswPtrAccess(base, hc->element);
|
||||
OffsetNumber offno = neighborElement->neighborOffno;
|
||||
OffsetNumber offno = hc->element->neighborOffno;
|
||||
|
||||
/* Get latest neighbors since they may have changed */
|
||||
/* Do not lock yet since selecting neighbors can take time */
|
||||
HnswLoadNeighbors(neighborElement, index, m);
|
||||
HnswLoadNeighbors(hc->element, index, m);
|
||||
|
||||
/*
|
||||
* Could improve performance for vacuuming by checking neighbors
|
||||
@@ -373,14 +361,14 @@ HnswUpdateNeighborsOnDisk(Relation index, FmgrInfo *procinfo, Oid collation, Hns
|
||||
*/
|
||||
|
||||
/* Select neighbors */
|
||||
HnswUpdateConnection(NULL, e, hc, lm, lc, &idx, index, procinfo, collation);
|
||||
HnswUpdateConnection(e, hc, lm, lc, &idx, index, procinfo, collation);
|
||||
|
||||
/* New element was not selected as a neighbor */
|
||||
if (idx == -1)
|
||||
continue;
|
||||
|
||||
/* Register page */
|
||||
buf = ReadBuffer(index, neighborElement->neighborPage);
|
||||
buf = ReadBuffer(index, hc->element->neighborPage);
|
||||
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
|
||||
if (building)
|
||||
{
|
||||
@@ -394,10 +382,12 @@ HnswUpdateNeighborsOnDisk(Relation index, FmgrInfo *procinfo, Oid collation, Hns
|
||||
}
|
||||
|
||||
/* Get tuple */
|
||||
ntup = (HnswNeighborTuple) PageGetItem(page, PageGetItemId(page, offno));
|
||||
itemid = PageGetItemId(page, offno);
|
||||
ntup = (HnswNeighborTuple) PageGetItem(page, itemid);
|
||||
ntupSize = ItemIdGetLength(itemid);
|
||||
|
||||
/* Calculate index for update */
|
||||
startIdx = (neighborElement->level - lc) * m;
|
||||
startIdx = (hc->element->level - lc) * m;
|
||||
|
||||
/* Check for existing connection */
|
||||
if (checkExisting && ConnectionExists(e, ntup, startIdx, lm))
|
||||
@@ -423,13 +413,15 @@ HnswUpdateNeighborsOnDisk(Relation index, FmgrInfo *procinfo, Oid collation, Hns
|
||||
{
|
||||
ItemPointer indextid = &ntup->indextids[idx];
|
||||
|
||||
/* Update neighbor on the buffer */
|
||||
/* Update neighbor */
|
||||
ItemPointerSet(indextid, e->blkno, e->offno);
|
||||
|
||||
/* Overwrite tuple */
|
||||
if (!PageIndexTupleOverwrite(page, offno, (Item) ntup, ntupSize))
|
||||
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
|
||||
|
||||
/* Commit */
|
||||
if (building)
|
||||
MarkBufferDirty(buf);
|
||||
else
|
||||
if (!building)
|
||||
GenericXLogFinish(state);
|
||||
}
|
||||
else if (!building)
|
||||
@@ -444,12 +436,14 @@ HnswUpdateNeighborsOnDisk(Relation index, FmgrInfo *procinfo, Oid collation, Hns
|
||||
* Add a heap TID to an existing element
|
||||
*/
|
||||
static bool
|
||||
AddDuplicateOnDisk(Relation index, HnswElement element, HnswElement dup, bool building)
|
||||
HnswAddDuplicate(Relation index, HnswElement element, HnswElement dup, bool building)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
GenericXLogState *state;
|
||||
ItemId itemid;
|
||||
HnswElementTuple etup;
|
||||
Size etupSize;
|
||||
int i;
|
||||
|
||||
/* Read page */
|
||||
@@ -467,7 +461,9 @@ AddDuplicateOnDisk(Relation index, HnswElement element, HnswElement dup, bool bu
|
||||
}
|
||||
|
||||
/* Find space */
|
||||
etup = (HnswElementTuple) PageGetItem(page, PageGetItemId(page, dup->offno));
|
||||
itemid = PageGetItemId(page, dup->offno);
|
||||
etup = (HnswElementTuple) PageGetItem(page, itemid);
|
||||
etupSize = ItemIdGetLength(itemid);
|
||||
for (i = 0; i < HNSW_HEAPTIDS; i++)
|
||||
{
|
||||
if (!ItemPointerIsValid(&etup->heaptids[i]))
|
||||
@@ -483,13 +479,15 @@ AddDuplicateOnDisk(Relation index, HnswElement element, HnswElement dup, bool bu
|
||||
return false;
|
||||
}
|
||||
|
||||
/* Add heap TID, modifying the tuple on the page directly */
|
||||
etup->heaptids[i] = element->heaptids[0];
|
||||
/* Add heap TID */
|
||||
etup->heaptids[i] = *((ItemPointer) linitial(element->heaptids));
|
||||
|
||||
/* Overwrite tuple */
|
||||
if (!PageIndexTupleOverwrite(page, dup->offno, (Item) etup, etupSize))
|
||||
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
|
||||
|
||||
/* Commit */
|
||||
if (building)
|
||||
MarkBufferDirty(buf);
|
||||
else
|
||||
if (!building)
|
||||
GenericXLogFinish(state);
|
||||
UnlockReleaseBuffer(buf);
|
||||
|
||||
@@ -497,55 +495,31 @@ AddDuplicateOnDisk(Relation index, HnswElement element, HnswElement dup, bool bu
|
||||
}
|
||||
|
||||
/*
|
||||
* Find duplicate element
|
||||
*/
|
||||
static bool
|
||||
FindDuplicateOnDisk(Relation index, HnswElement element, bool building)
|
||||
{
|
||||
char *base = NULL;
|
||||
HnswNeighborArray *neighbors = HnswGetNeighbors(base, element, 0);
|
||||
Datum value = HnswGetValue(base, element);
|
||||
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
{
|
||||
HnswCandidate *neighbor = &neighbors->items[i];
|
||||
HnswElement neighborElement = HnswPtrAccess(base, neighbor->element);
|
||||
Datum neighborValue = HnswGetValue(base, neighborElement);
|
||||
|
||||
/* Exit early since ordered by distance */
|
||||
if (!datumIsEqual(value, neighborValue, false, -1))
|
||||
return false;
|
||||
|
||||
if (AddDuplicateOnDisk(index, element, neighborElement, building))
|
||||
return true;
|
||||
}
|
||||
|
||||
return false;
|
||||
}
|
||||
|
||||
/*
|
||||
* Update graph on disk
|
||||
* Write changes to disk
|
||||
*/
|
||||
static void
|
||||
UpdateGraphOnDisk(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement element, int m, int efConstruction, HnswElement entryPoint, bool building)
|
||||
WriteElement(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement element, int m, int efConstruction, HnswElement dup, HnswElement entryPoint, bool building)
|
||||
{
|
||||
BlockNumber newInsertPage = InvalidBlockNumber;
|
||||
|
||||
/* Look for duplicate */
|
||||
if (FindDuplicateOnDisk(index, element, building))
|
||||
return;
|
||||
/* Try to add to existing page */
|
||||
if (dup != NULL)
|
||||
{
|
||||
if (HnswAddDuplicate(index, element, dup, building))
|
||||
return;
|
||||
}
|
||||
|
||||
/* Add element */
|
||||
AddElementOnDisk(index, element, m, GetInsertPage(index), &newInsertPage, building);
|
||||
/* Write element and neighbor tuples */
|
||||
WriteNewElementPages(index, element, m, GetInsertPage(index), &newInsertPage, building);
|
||||
|
||||
/* Update insert page if needed */
|
||||
if (BlockNumberIsValid(newInsertPage))
|
||||
HnswUpdateMetaPage(index, 0, NULL, newInsertPage, MAIN_FORKNUM, building);
|
||||
|
||||
/* Update neighbors */
|
||||
HnswUpdateNeighborsOnDisk(index, procinfo, collation, element, m, false, building);
|
||||
HnswUpdateNeighborPages(index, procinfo, collation, element, m, false, building);
|
||||
|
||||
/* Update entry point if needed */
|
||||
/* Update metapage if needed */
|
||||
if (entryPoint == NULL || element->level > entryPoint->level)
|
||||
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_GREATER, element, InvalidBlockNumber, MAIN_FORKNUM, building);
|
||||
}
|
||||
@@ -554,16 +528,29 @@ UpdateGraphOnDisk(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement
|
||||
* Insert a tuple into the index
|
||||
*/
|
||||
bool
|
||||
HnswInsertTupleOnDisk(Relation index, Datum value, Datum *values, bool *isnull, ItemPointer heap_tid, bool building)
|
||||
HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel, bool building)
|
||||
{
|
||||
Datum value;
|
||||
FmgrInfo *normprocinfo;
|
||||
HnswElement entryPoint;
|
||||
HnswElement element;
|
||||
int m;
|
||||
int efConstruction = HnswGetEfConstruction(index);
|
||||
FmgrInfo *procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
||||
Oid collation = index->rd_indcollation[0];
|
||||
HnswElement dup;
|
||||
LOCKMODE lockmode = ShareLock;
|
||||
char *base = NULL;
|
||||
|
||||
/* Detoast once for all calls */
|
||||
value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
|
||||
|
||||
/* Normalize if needed */
|
||||
normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
|
||||
if (normprocinfo != NULL)
|
||||
{
|
||||
if (!HnswNormValue(normprocinfo, collation, &value, NULL))
|
||||
return false;
|
||||
}
|
||||
|
||||
/*
|
||||
* Get a shared lock. This allows vacuum to ensure no in-flight inserts
|
||||
@@ -576,8 +563,8 @@ HnswInsertTupleOnDisk(Relation index, Datum value, Datum *values, bool *isnull,
|
||||
HnswGetMetaPageInfo(index, &m, &entryPoint);
|
||||
|
||||
/* Create an element */
|
||||
element = HnswInitElement(base, heap_tid, m, HnswGetMl(m), HnswGetMaxLevel(m), NULL);
|
||||
HnswPtrStore(base, element->value, DatumGetPointer(value));
|
||||
element = HnswInitElement(heap_tid, m, HnswGetMl(m), HnswGetMaxLevel(m));
|
||||
element->value = value;
|
||||
|
||||
/* Prevent concurrent inserts when likely updating entry point */
|
||||
if (entryPoint == NULL || element->level > entryPoint->level)
|
||||
@@ -593,11 +580,14 @@ HnswInsertTupleOnDisk(Relation index, Datum value, Datum *values, bool *isnull,
|
||||
entryPoint = HnswGetEntryPoint(index);
|
||||
}
|
||||
|
||||
/* Find neighbors for element */
|
||||
HnswFindElementNeighbors(base, element, entryPoint, index, procinfo, collation, m, efConstruction, false);
|
||||
/* Insert element in graph */
|
||||
HnswInsertElement(element, entryPoint, index, procinfo, collation, m, efConstruction, false);
|
||||
|
||||
/* Update graph on disk */
|
||||
UpdateGraphOnDisk(index, procinfo, collation, element, m, efConstruction, entryPoint, building);
|
||||
/* Look for duplicate */
|
||||
dup = HnswFindDuplicate(element);
|
||||
|
||||
/* Write to disk */
|
||||
WriteElement(index, procinfo, collation, element, m, efConstruction, dup, entryPoint, building);
|
||||
|
||||
/* Release lock */
|
||||
UnlockPage(index, HNSW_UPDATE_LOCK, lockmode);
|
||||
@@ -605,30 +595,6 @@ HnswInsertTupleOnDisk(Relation index, Datum value, Datum *values, bool *isnull,
|
||||
return true;
|
||||
}
|
||||
|
||||
/*
|
||||
* Insert a tuple into the index
|
||||
*/
|
||||
static void
|
||||
HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid)
|
||||
{
|
||||
Datum value;
|
||||
FmgrInfo *normprocinfo;
|
||||
Oid collation = index->rd_indcollation[0];
|
||||
|
||||
/* Detoast once for all calls */
|
||||
value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
|
||||
|
||||
/* Normalize if needed */
|
||||
normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
|
||||
if (normprocinfo != NULL)
|
||||
{
|
||||
if (!HnswNormValue(normprocinfo, collation, &value, NULL))
|
||||
return;
|
||||
}
|
||||
|
||||
HnswInsertTupleOnDisk(index, value, values, isnull, heap_tid, false);
|
||||
}
|
||||
|
||||
/*
|
||||
* Insert a tuple into the index
|
||||
*/
|
||||
@@ -655,7 +621,7 @@ hnswinsert(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid,
|
||||
oldCtx = MemoryContextSwitchTo(insertCtx);
|
||||
|
||||
/* Insert tuple */
|
||||
HnswInsertTuple(index, values, isnull, heap_tid);
|
||||
HnswInsertTuple(index, values, isnull, heap_tid, heap, false);
|
||||
|
||||
/* Delete memory context */
|
||||
MemoryContextSwitchTo(oldCtx);
|
||||
|
||||
@@ -21,7 +21,6 @@ GetScanItems(IndexScanDesc scan, Datum q)
|
||||
List *w;
|
||||
int m;
|
||||
HnswElement entryPoint;
|
||||
char *base = NULL;
|
||||
|
||||
/* Get m and entry point */
|
||||
HnswGetMetaPageInfo(index, &m, &entryPoint);
|
||||
@@ -29,15 +28,15 @@ GetScanItems(IndexScanDesc scan, Datum q)
|
||||
if (entryPoint == NULL)
|
||||
return NIL;
|
||||
|
||||
ep = list_make1(HnswEntryCandidate(base, entryPoint, q, index, procinfo, collation, false));
|
||||
ep = list_make1(HnswEntryCandidate(entryPoint, q, index, procinfo, collation, false));
|
||||
|
||||
for (int lc = entryPoint->level; lc >= 1; lc--)
|
||||
{
|
||||
w = HnswSearchLayer(base, q, ep, 1, lc, index, procinfo, collation, m, false, NULL);
|
||||
w = HnswSearchLayer(q, ep, 1, lc, index, procinfo, collation, m, false, NULL);
|
||||
ep = w;
|
||||
}
|
||||
|
||||
return HnswSearchLayer(base, q, ep, hnsw_ef_search, 0, index, procinfo, collation, m, false, NULL);
|
||||
return HnswSearchLayer(q, ep, hnsw_ef_search, 0, index, procinfo, collation, m, false, NULL);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -185,24 +184,28 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
|
||||
while (list_length(so->w) > 0)
|
||||
{
|
||||
char *base = NULL;
|
||||
HnswCandidate *hc = llast(so->w);
|
||||
HnswElement element = HnswPtrAccess(base, hc->element);
|
||||
ItemPointer heaptid;
|
||||
|
||||
/* Move to next element if no valid heap TIDs */
|
||||
if (element->heaptidsLength == 0)
|
||||
if (list_length(hc->element->heaptids) == 0)
|
||||
{
|
||||
so->w = list_delete_last(so->w);
|
||||
continue;
|
||||
}
|
||||
|
||||
heaptid = &element->heaptids[--element->heaptidsLength];
|
||||
heaptid = llast(hc->element->heaptids);
|
||||
|
||||
hc->element->heaptids = list_delete_last(hc->element->heaptids);
|
||||
|
||||
MemoryContextSwitchTo(oldCtx);
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
scan->xs_heaptid = *heaptid;
|
||||
scan->xs_recheck = false;
|
||||
#else
|
||||
scan->xs_ctup.t_self = *heaptid;
|
||||
#endif
|
||||
|
||||
scan->xs_recheckorderby = false;
|
||||
return true;
|
||||
}
|
||||
|
||||
506
src/hnswutils.c
506
src/hnswutils.c
@@ -2,13 +2,9 @@
|
||||
|
||||
#include <math.h>
|
||||
|
||||
#include "access/generic_xlog.h"
|
||||
#include "hnsw.h"
|
||||
#include "lib/pairingheap.h"
|
||||
#include "storage/bufmgr.h"
|
||||
#include "utils/datum.h"
|
||||
#include "utils/memdebug.h"
|
||||
#include "utils/rel.h"
|
||||
#include "vector.h"
|
||||
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
@@ -60,6 +56,13 @@ hash_tid(ItemPointerData tid)
|
||||
#define SH_DEFINE
|
||||
#include "lib/simplehash.h"
|
||||
|
||||
/* Needed to include simplehash.h twice */
|
||||
#if PG_VERSION_NUM < 120000
|
||||
#undef SH_EQUAL
|
||||
#define sh_log2 pointerhash_sh_log2
|
||||
#define sh_pow2 pointerhash_sh_pow2
|
||||
#endif
|
||||
|
||||
/* Pointer hash table */
|
||||
static uint32
|
||||
hash_pointer(uintptr_t ptr)
|
||||
@@ -81,31 +84,9 @@ hash_pointer(uintptr_t ptr)
|
||||
#define SH_DEFINE
|
||||
#include "lib/simplehash.h"
|
||||
|
||||
/* Offset hash table */
|
||||
static uint32
|
||||
hash_offset(Size offset)
|
||||
{
|
||||
#if SIZEOF_SIZE_T == 8
|
||||
return murmurhash64((uint64) offset);
|
||||
#else
|
||||
return murmurhash32((uint32) offset);
|
||||
#endif
|
||||
}
|
||||
|
||||
#define SH_PREFIX offsethash
|
||||
#define SH_ELEMENT_TYPE OffsetHashEntry
|
||||
#define SH_KEY_TYPE Size
|
||||
#define SH_KEY offset
|
||||
#define SH_HASH_KEY(tb, key) hash_offset(key)
|
||||
#define SH_EQUAL(tb, a, b) (a == b)
|
||||
#define SH_SCOPE extern
|
||||
#define SH_DEFINE
|
||||
#include "lib/simplehash.h"
|
||||
|
||||
typedef union
|
||||
{
|
||||
pointerhash_hash *pointers;
|
||||
offsethash_hash *offsets;
|
||||
tidhash_hash *tids;
|
||||
} visited_hash;
|
||||
|
||||
@@ -203,53 +184,46 @@ HnswInitPage(Buffer buf, Page page)
|
||||
HnswPageGetOpaque(page)->page_id = HNSW_PAGE_ID;
|
||||
}
|
||||
|
||||
/*
|
||||
* Allocate a neighbor array
|
||||
*/
|
||||
static HnswNeighborArray *
|
||||
HnswInitNeighborArray(int lm, HnswAllocator * allocator)
|
||||
{
|
||||
HnswNeighborArray *a = HnswAlloc(allocator, HNSW_NEIGHBOR_ARRAY_SIZE(lm));
|
||||
|
||||
a->length = 0;
|
||||
a->closerSet = false;
|
||||
return a;
|
||||
}
|
||||
|
||||
/*
|
||||
* Allocate neighbors
|
||||
*/
|
||||
void
|
||||
HnswInitNeighbors(char *base, HnswElement element, int m, HnswAllocator * allocator)
|
||||
HnswInitNeighbors(HnswElement element, int m)
|
||||
{
|
||||
int level = element->level;
|
||||
HnswNeighborArrayPtr *neighborList = (HnswNeighborArrayPtr *) HnswAlloc(allocator, sizeof(HnswNeighborArrayPtr) * (level + 1));
|
||||
|
||||
HnswPtrStore(base, element->neighbors, neighborList);
|
||||
element->neighbors = palloc(sizeof(HnswNeighborArray) * (level + 1));
|
||||
|
||||
for (int lc = 0; lc <= level; lc++)
|
||||
HnswPtrStore(base, neighborList[lc], HnswInitNeighborArray(HnswGetLayerM(m, lc), allocator));
|
||||
{
|
||||
HnswNeighborArray *a;
|
||||
int lm = HnswGetLayerM(m, lc);
|
||||
|
||||
a = &element->neighbors[lc];
|
||||
a->length = 0;
|
||||
a->items = palloc(sizeof(HnswCandidate) * lm);
|
||||
a->closerSet = false;
|
||||
}
|
||||
}
|
||||
|
||||
/*
|
||||
* Allocate memory from the allocator
|
||||
* Free neighbors
|
||||
*/
|
||||
void *
|
||||
HnswAlloc(HnswAllocator * allocator, Size size)
|
||||
static void
|
||||
HnswFreeNeighbors(HnswElement element)
|
||||
{
|
||||
if (allocator)
|
||||
return (*(allocator)->alloc) (size, (allocator)->state);
|
||||
|
||||
return palloc(size);
|
||||
for (int lc = 0; lc <= element->level; lc++)
|
||||
pfree(element->neighbors[lc].items);
|
||||
pfree(element->neighbors);
|
||||
}
|
||||
|
||||
/*
|
||||
* Allocate an element
|
||||
*/
|
||||
HnswElement
|
||||
HnswInitElement(char *base, ItemPointer heaptid, int m, double ml, int maxLevel, HnswAllocator * allocator)
|
||||
HnswInitElement(ItemPointer heaptid, int m, double ml, int maxLevel)
|
||||
{
|
||||
HnswElement element = HnswAlloc(allocator, sizeof(HnswElementData));
|
||||
HnswElement element = palloc(sizeof(HnswElementData));
|
||||
|
||||
int level = (int) (-log(RandomDouble()) * ml);
|
||||
|
||||
@@ -257,26 +231,42 @@ HnswInitElement(char *base, ItemPointer heaptid, int m, double ml, int maxLevel,
|
||||
if (level > maxLevel)
|
||||
level = maxLevel;
|
||||
|
||||
element->heaptidsLength = 0;
|
||||
element->heaptids = NIL;
|
||||
HnswAddHeapTid(element, heaptid);
|
||||
|
||||
element->level = level;
|
||||
element->deleted = 0;
|
||||
|
||||
HnswInitNeighbors(base, element, m, allocator);
|
||||
HnswInitNeighbors(element, m);
|
||||
|
||||
HnswPtrStore(base, element->value, (Pointer) NULL);
|
||||
element->value = PointerGetDatum(NULL);
|
||||
|
||||
return element;
|
||||
}
|
||||
|
||||
/*
|
||||
* Free an element
|
||||
*/
|
||||
void
|
||||
HnswFreeElement(HnswElement element)
|
||||
{
|
||||
HnswFreeNeighbors(element);
|
||||
list_free_deep(element->heaptids);
|
||||
if (DatumGetPointer(element->value))
|
||||
pfree(DatumGetPointer(element->value));
|
||||
pfree(element);
|
||||
}
|
||||
|
||||
/*
|
||||
* Add a heap TID to an element
|
||||
*/
|
||||
void
|
||||
HnswAddHeapTid(HnswElement element, ItemPointer heaptid)
|
||||
{
|
||||
element->heaptids[element->heaptidsLength++] = *heaptid;
|
||||
ItemPointer copy = palloc(sizeof(ItemPointerData));
|
||||
|
||||
ItemPointerCopy(heaptid, copy);
|
||||
element->heaptids = lappend(element->heaptids, copy);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -286,12 +276,11 @@ HnswElement
|
||||
HnswInitElementFromBlock(BlockNumber blkno, OffsetNumber offno)
|
||||
{
|
||||
HnswElement element = palloc(sizeof(HnswElementData));
|
||||
char *base = NULL;
|
||||
|
||||
element->blkno = blkno;
|
||||
element->offno = offno;
|
||||
HnswPtrStore(base, element->neighbors, (HnswNeighborArrayPtr *) NULL);
|
||||
HnswPtrStore(base, element->value, (Pointer) NULL);
|
||||
element->neighbors = NULL;
|
||||
element->value = PointerGetDatum(NULL);
|
||||
return element;
|
||||
}
|
||||
|
||||
@@ -316,10 +305,7 @@ HnswGetMetaPageInfo(Relation index, int *m, HnswElement * entryPoint)
|
||||
if (entryPoint != NULL)
|
||||
{
|
||||
if (BlockNumberIsValid(metap->entryBlkno))
|
||||
{
|
||||
*entryPoint = HnswInitElementFromBlock(metap->entryBlkno, metap->entryOffno);
|
||||
(*entryPoint)->level = metap->entryLevel;
|
||||
}
|
||||
else
|
||||
*entryPoint = NULL;
|
||||
}
|
||||
@@ -393,9 +379,7 @@ HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, Bloc
|
||||
|
||||
HnswUpdateMetaPageInfo(page, updateEntry, entryPoint, insertPage);
|
||||
|
||||
if (building)
|
||||
MarkBufferDirty(buf);
|
||||
else
|
||||
if (!building)
|
||||
GenericXLogFinish(state);
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
@@ -404,28 +388,26 @@ HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, Bloc
|
||||
* Set element tuple, except for neighbor info
|
||||
*/
|
||||
void
|
||||
HnswSetElementTuple(char *base, HnswElementTuple etup, HnswElement element)
|
||||
HnswSetElementTuple(HnswElementTuple etup, HnswElement element)
|
||||
{
|
||||
Pointer valuePtr = HnswPtrAccess(base, element->value);
|
||||
|
||||
etup->type = HNSW_ELEMENT_TUPLE_TYPE;
|
||||
etup->level = element->level;
|
||||
etup->deleted = 0;
|
||||
for (int i = 0; i < HNSW_HEAPTIDS; i++)
|
||||
{
|
||||
if (i < element->heaptidsLength)
|
||||
etup->heaptids[i] = element->heaptids[i];
|
||||
if (i < list_length(element->heaptids))
|
||||
etup->heaptids[i] = *((ItemPointer) list_nth(element->heaptids, i));
|
||||
else
|
||||
ItemPointerSetInvalid(&etup->heaptids[i]);
|
||||
}
|
||||
memcpy(&etup->data, valuePtr, VARSIZE_ANY(valuePtr));
|
||||
memcpy(&etup->data, DatumGetPointer(element->value), VARSIZE_ANY(DatumGetPointer(element->value)));
|
||||
}
|
||||
|
||||
/*
|
||||
* Set neighbor tuple
|
||||
*/
|
||||
void
|
||||
HnswSetNeighborTuple(char *base, HnswNeighborTuple ntup, HnswElement e, int m)
|
||||
HnswSetNeighborTuple(HnswNeighborTuple ntup, HnswElement e, int m)
|
||||
{
|
||||
int idx = 0;
|
||||
|
||||
@@ -433,7 +415,7 @@ HnswSetNeighborTuple(char *base, HnswNeighborTuple ntup, HnswElement e, int m)
|
||||
|
||||
for (int lc = e->level; lc >= 0; lc--)
|
||||
{
|
||||
HnswNeighborArray *neighbors = HnswGetNeighbors(base, e, lc);
|
||||
HnswNeighborArray *neighbors = &e->neighbors[lc];
|
||||
int lm = HnswGetLayerM(m, lc);
|
||||
|
||||
for (int i = 0; i < lm; i++)
|
||||
@@ -443,9 +425,8 @@ HnswSetNeighborTuple(char *base, HnswNeighborTuple ntup, HnswElement e, int m)
|
||||
if (i < neighbors->length)
|
||||
{
|
||||
HnswCandidate *hc = &neighbors->items[i];
|
||||
HnswElement hce = HnswPtrAccess(base, hc->element);
|
||||
|
||||
ItemPointerSet(indextid, hce->blkno, hce->offno);
|
||||
ItemPointerSet(indextid, hc->element->blkno, hc->element->offno);
|
||||
}
|
||||
else
|
||||
ItemPointerSetInvalid(indextid);
|
||||
@@ -461,14 +442,12 @@ HnswSetNeighborTuple(char *base, HnswNeighborTuple ntup, HnswElement e, int m)
|
||||
static void
|
||||
LoadNeighborsFromPage(HnswElement element, Relation index, Page page, int m)
|
||||
{
|
||||
char *base = NULL;
|
||||
|
||||
HnswNeighborTuple ntup = (HnswNeighborTuple) PageGetItem(page, PageGetItemId(page, element->neighborOffno));
|
||||
int neighborCount = (element->level + 2) * m;
|
||||
|
||||
Assert(HnswIsNeighborTuple(ntup));
|
||||
|
||||
HnswInitNeighbors(base, element, m, NULL);
|
||||
HnswInitNeighbors(element, m);
|
||||
|
||||
/* Ensure expected neighbors */
|
||||
if (ntup->count != neighborCount)
|
||||
@@ -494,9 +473,9 @@ LoadNeighborsFromPage(HnswElement element, Relation index, Page page, int m)
|
||||
if (level < 0)
|
||||
level = 0;
|
||||
|
||||
neighbors = HnswGetNeighbors(base, element, level);
|
||||
neighbors = &element->neighbors[level];
|
||||
hc = &neighbors->items[neighbors->length++];
|
||||
HnswPtrStore(base, hc->element, e);
|
||||
hc->element = e;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -528,7 +507,7 @@ HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHe
|
||||
element->deleted = etup->deleted;
|
||||
element->neighborPage = ItemPointerGetBlockNumber(&etup->neighbortid);
|
||||
element->neighborOffno = ItemPointerGetOffsetNumber(&etup->neighbortid);
|
||||
element->heaptidsLength = 0;
|
||||
element->heaptids = NIL;
|
||||
|
||||
if (loadHeaptids)
|
||||
{
|
||||
@@ -543,12 +522,7 @@ 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));
|
||||
}
|
||||
element->value = datumCopy(PointerGetDatum(&etup->data), false, -1);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -584,27 +558,24 @@ HnswLoadElement(HnswElement element, float *distance, Datum *q, Relation index,
|
||||
* Get the distance for a candidate
|
||||
*/
|
||||
static float
|
||||
GetCandidateDistance(char *base, HnswCandidate * hc, Datum q, FmgrInfo *procinfo, Oid collation)
|
||||
GetCandidateDistance(HnswCandidate * hc, Datum q, FmgrInfo *procinfo, Oid collation)
|
||||
{
|
||||
HnswElement hce = HnswPtrAccess(base, hc->element);
|
||||
Datum value = HnswGetValue(base, hce);
|
||||
|
||||
return DatumGetFloat8(FunctionCall2Coll(procinfo, collation, q, value));
|
||||
return DatumGetFloat8(FunctionCall2Coll(procinfo, collation, q, hc->element->value));
|
||||
}
|
||||
|
||||
/*
|
||||
* Create a candidate for the entry point
|
||||
*/
|
||||
HnswCandidate *
|
||||
HnswEntryCandidate(char *base, HnswElement entryPoint, Datum q, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec)
|
||||
HnswEntryCandidate(HnswElement entryPoint, Datum q, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec)
|
||||
{
|
||||
HnswCandidate *hc = palloc(sizeof(HnswCandidate));
|
||||
|
||||
HnswPtrStore(base, hc->element, entryPoint);
|
||||
hc->element = entryPoint;
|
||||
if (index == NULL)
|
||||
hc->distance = GetCandidateDistance(base, hc, q, procinfo, collation);
|
||||
hc->distance = GetCandidateDistance(hc, q, procinfo, collation);
|
||||
else
|
||||
HnswLoadElement(entryPoint, &hc->distance, &q, index, procinfo, collation, loadVec);
|
||||
HnswLoadElement(hc->element, &hc->distance, &q, index, procinfo, collation, loadVec);
|
||||
return hc;
|
||||
}
|
||||
|
||||
@@ -650,97 +621,48 @@ CreatePairingHeapNode(HnswCandidate * c)
|
||||
return node;
|
||||
}
|
||||
|
||||
/*
|
||||
* Init visited
|
||||
*/
|
||||
static inline void
|
||||
InitVisited(char *base, visited_hash * v, Relation index, int ef, int m)
|
||||
{
|
||||
if (index != NULL)
|
||||
v->tids = tidhash_create(CurrentMemoryContext, ef * m * 2, NULL);
|
||||
else if (base != NULL)
|
||||
v->offsets = offsethash_create(CurrentMemoryContext, ef * m * 2, NULL);
|
||||
else
|
||||
v->pointers = pointerhash_create(CurrentMemoryContext, ef * m * 2, NULL);
|
||||
}
|
||||
|
||||
/*
|
||||
* Add to visited
|
||||
*/
|
||||
static inline void
|
||||
AddToVisited(char *base, visited_hash * v, HnswCandidate * hc, Relation index, bool *found)
|
||||
AddToVisited(visited_hash v, HnswCandidate * hc, Relation index, bool *found)
|
||||
{
|
||||
if (index != NULL)
|
||||
{
|
||||
HnswElement element = HnswPtrAccess(base, hc->element);
|
||||
ItemPointerData indextid;
|
||||
|
||||
ItemPointerSet(&indextid, element->blkno, element->offno);
|
||||
tidhash_insert(v->tids, indextid, found);
|
||||
}
|
||||
else if (base != NULL)
|
||||
if (index == NULL)
|
||||
{
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
HnswElement element = HnswPtrAccess(base, hc->element);
|
||||
|
||||
offsethash_insert_hash(v->offsets, HnswPtrOffset(hc->element), element->hash, found);
|
||||
pointerhash_insert_hash(v.pointers, (uintptr_t) hc->element, hc->element->hash, found);
|
||||
#else
|
||||
offsethash_insert(v->offsets, HnswPtrOffset(hc->element), found);
|
||||
pointerhash_insert(v.pointers, (uintptr_t) hc->element, found);
|
||||
#endif
|
||||
}
|
||||
else
|
||||
{
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
HnswElement element = HnswPtrAccess(base, hc->element);
|
||||
ItemPointerData indextid;
|
||||
|
||||
pointerhash_insert_hash(v->pointers, (uintptr_t) HnswPtrPointer(hc->element), element->hash, found);
|
||||
#else
|
||||
pointerhash_insert(v->pointers, (uintptr_t) HnswPtrPointer(hc->element), found);
|
||||
#endif
|
||||
ItemPointerSet(&indextid, hc->element->blkno, hc->element->offno);
|
||||
tidhash_insert(v.tids, indextid, found);
|
||||
}
|
||||
}
|
||||
|
||||
/*
|
||||
* Count element towards ef
|
||||
*/
|
||||
static inline bool
|
||||
CountElement(char *base, HnswElement skipElement, HnswCandidate * hc)
|
||||
{
|
||||
HnswElement e;
|
||||
|
||||
if (skipElement == NULL)
|
||||
return true;
|
||||
|
||||
/* Ensure does not access heaptidsLength during in-memory build */
|
||||
pg_memory_barrier();
|
||||
|
||||
e = HnswPtrAccess(base, hc->element);
|
||||
return e->heaptidsLength != 0;
|
||||
}
|
||||
|
||||
/*
|
||||
* Algorithm 2 from paper
|
||||
*/
|
||||
List *
|
||||
HnswSearchLayer(char *base, Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, int m, bool inserting, HnswElement skipElement)
|
||||
HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, int m, bool inserting, HnswElement skipElement)
|
||||
{
|
||||
ListCell *lc2;
|
||||
|
||||
List *w = NIL;
|
||||
pairingheap *C = pairingheap_allocate(CompareNearestCandidates, NULL);
|
||||
pairingheap *W = pairingheap_allocate(CompareFurthestCandidates, NULL);
|
||||
int wlen = 0;
|
||||
visited_hash v;
|
||||
ListCell *lc2;
|
||||
HnswNeighborArray *neighborhoodData = NULL;
|
||||
Size neighborhoodSize;
|
||||
|
||||
InitVisited(base, &v, index, ef, m);
|
||||
|
||||
/* Create local memory for neighborhood if needed */
|
||||
/* Create hash table */
|
||||
if (index == NULL)
|
||||
{
|
||||
neighborhoodSize = HNSW_NEIGHBOR_ARRAY_SIZE(HnswGetLayerM(m, lc));
|
||||
neighborhoodData = palloc(neighborhoodSize);
|
||||
}
|
||||
v.pointers = pointerhash_create(CurrentMemoryContext, ef * m * 2, NULL);
|
||||
else
|
||||
v.tids = tidhash_create(CurrentMemoryContext, ef * m * 2, NULL);
|
||||
|
||||
/* Add entry points to v, C, and W */
|
||||
foreach(lc2, ep)
|
||||
@@ -748,7 +670,7 @@ HnswSearchLayer(char *base, Datum q, List *ep, int ef, int lc, Relation index, F
|
||||
HnswCandidate *hc = (HnswCandidate *) lfirst(lc2);
|
||||
bool found;
|
||||
|
||||
AddToVisited(base, &v, hc, index, &found);
|
||||
AddToVisited(v, hc, index, &found);
|
||||
|
||||
pairingheap_add(C, &(CreatePairingHeapNode(hc)->ph_node));
|
||||
pairingheap_add(W, &(CreatePairingHeapNode(hc)->ph_node));
|
||||
@@ -758,7 +680,7 @@ HnswSearchLayer(char *base, Datum q, List *ep, int ef, int lc, Relation index, F
|
||||
* would be ideal to do this for inserts as well, but this could
|
||||
* affect insert performance.
|
||||
*/
|
||||
if (CountElement(base, skipElement, hc))
|
||||
if (skipElement == NULL || list_length(hc->element->heaptids) != 0)
|
||||
wlen++;
|
||||
}
|
||||
|
||||
@@ -767,51 +689,38 @@ HnswSearchLayer(char *base, Datum q, List *ep, int ef, int lc, Relation index, F
|
||||
HnswNeighborArray *neighborhood;
|
||||
HnswCandidate *c = ((HnswPairingHeapNode *) pairingheap_remove_first(C))->inner;
|
||||
HnswCandidate *f = ((HnswPairingHeapNode *) pairingheap_first(W))->inner;
|
||||
HnswElement cElement;
|
||||
|
||||
if (c->distance > f->distance)
|
||||
break;
|
||||
|
||||
cElement = HnswPtrAccess(base, c->element);
|
||||
|
||||
if (HnswPtrIsNull(base, cElement->neighbors))
|
||||
HnswLoadNeighbors(cElement, index, m);
|
||||
if (c->element->neighbors == NULL)
|
||||
HnswLoadNeighbors(c->element, index, m);
|
||||
|
||||
/* Get the neighborhood at layer lc */
|
||||
neighborhood = HnswGetNeighbors(base, cElement, lc);
|
||||
|
||||
/* Copy neighborhood to local memory if needed */
|
||||
if (index == NULL)
|
||||
{
|
||||
LWLockAcquire(&cElement->lock, LW_SHARED);
|
||||
memcpy(neighborhoodData, neighborhood, neighborhoodSize);
|
||||
LWLockRelease(&cElement->lock);
|
||||
neighborhood = neighborhoodData;
|
||||
}
|
||||
neighborhood = &c->element->neighbors[lc];
|
||||
|
||||
for (int i = 0; i < neighborhood->length; i++)
|
||||
{
|
||||
HnswCandidate *e = &neighborhood->items[i];
|
||||
bool visited;
|
||||
|
||||
AddToVisited(base, &v, e, index, &visited);
|
||||
AddToVisited(v, e, index, &visited);
|
||||
|
||||
if (!visited)
|
||||
{
|
||||
float eDistance;
|
||||
HnswElement eElement = HnswPtrAccess(base, e->element);
|
||||
|
||||
f = ((HnswPairingHeapNode *) pairingheap_first(W))->inner;
|
||||
|
||||
if (index == NULL)
|
||||
eDistance = GetCandidateDistance(base, e, q, procinfo, collation);
|
||||
eDistance = GetCandidateDistance(e, q, procinfo, collation);
|
||||
else
|
||||
HnswLoadElement(eElement, &eDistance, &q, index, procinfo, collation, inserting);
|
||||
HnswLoadElement(e->element, &eDistance, &q, index, procinfo, collation, inserting);
|
||||
|
||||
Assert(!eElement->deleted);
|
||||
Assert(!e->element->deleted);
|
||||
|
||||
/* Make robust to issues */
|
||||
if (eElement->level < lc)
|
||||
if (e->element->level < lc)
|
||||
continue;
|
||||
|
||||
if (eDistance < f->distance || wlen < ef)
|
||||
@@ -819,7 +728,7 @@ HnswSearchLayer(char *base, Datum q, List *ep, int ef, int lc, Relation index, F
|
||||
/* Copy e */
|
||||
HnswCandidate *ec = palloc(sizeof(HnswCandidate));
|
||||
|
||||
HnswPtrStore(base, ec->element, eElement);
|
||||
ec->element = e->element;
|
||||
ec->distance = eDistance;
|
||||
|
||||
pairingheap_add(C, &(CreatePairingHeapNode(ec)->ph_node));
|
||||
@@ -830,7 +739,7 @@ HnswSearchLayer(char *base, Datum q, List *ep, int ef, int lc, Relation index, F
|
||||
* vacuuming. It would be ideal to do this for inserts as
|
||||
* well, but this could affect insert performance.
|
||||
*/
|
||||
if (CountElement(base, skipElement, e))
|
||||
if (skipElement == NULL || list_length(e->element->heaptids) != 0)
|
||||
{
|
||||
wlen++;
|
||||
|
||||
@@ -855,20 +764,17 @@ HnswSearchLayer(char *base, Datum q, List *ep, int ef, int lc, Relation index, F
|
||||
}
|
||||
|
||||
/*
|
||||
* Compare candidate distances with pointer tie-breaker
|
||||
* Compare candidate distances
|
||||
*/
|
||||
static int
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
CompareCandidateDistances(const ListCell *a, const ListCell *b)
|
||||
{
|
||||
HnswCandidate *hca = lfirst(a);
|
||||
HnswCandidate *hcb = lfirst(b);
|
||||
#else
|
||||
CompareCandidateDistances(const void *a, const void *b)
|
||||
{
|
||||
HnswCandidate *hca = lfirst(*(ListCell **) a);
|
||||
HnswCandidate *hcb = lfirst(*(ListCell **) b);
|
||||
#endif
|
||||
{
|
||||
HnswCandidate *hca = lfirst((ListCell *) a);
|
||||
HnswCandidate *hcb = lfirst((ListCell *) b);
|
||||
|
||||
if (hca->distance < hcb->distance)
|
||||
return 1;
|
||||
@@ -876,41 +782,10 @@ CompareCandidateDistances(const void *a, const void *b)
|
||||
if (hca->distance > hcb->distance)
|
||||
return -1;
|
||||
|
||||
if (HnswPtrPointer(hca->element) < HnswPtrPointer(hcb->element))
|
||||
if (hca->element < hcb->element)
|
||||
return 1;
|
||||
|
||||
if (HnswPtrPointer(hca->element) > HnswPtrPointer(hcb->element))
|
||||
return -1;
|
||||
|
||||
return 0;
|
||||
}
|
||||
|
||||
/*
|
||||
* Compare candidate distances with offset tie-breaker
|
||||
*/
|
||||
static int
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
CompareCandidateDistancesOffset(const ListCell *a, const ListCell *b)
|
||||
{
|
||||
HnswCandidate *hca = lfirst(a);
|
||||
HnswCandidate *hcb = lfirst(b);
|
||||
#else
|
||||
CompareCandidateDistancesOffset(const void *a, const void *b)
|
||||
{
|
||||
HnswCandidate *hca = lfirst(*(ListCell **) a);
|
||||
HnswCandidate *hcb = lfirst(*(ListCell **) b);
|
||||
#endif
|
||||
|
||||
if (hca->distance < hcb->distance)
|
||||
return 1;
|
||||
|
||||
if (hca->distance > hcb->distance)
|
||||
return -1;
|
||||
|
||||
if (HnswPtrOffset(hca->element) < HnswPtrOffset(hcb->element))
|
||||
return 1;
|
||||
|
||||
if (HnswPtrOffset(hca->element) > HnswPtrOffset(hcb->element))
|
||||
if (hca->element > hcb->element)
|
||||
return -1;
|
||||
|
||||
return 0;
|
||||
@@ -920,28 +795,46 @@ CompareCandidateDistancesOffset(const void *a, const void *b)
|
||||
* Calculate the distance between elements
|
||||
*/
|
||||
static float
|
||||
HnswGetDistance(char *base, HnswElement a, HnswElement b, FmgrInfo *procinfo, Oid collation)
|
||||
HnswGetDistance(HnswElement a, HnswElement b, int lc, FmgrInfo *procinfo, Oid collation)
|
||||
{
|
||||
Datum aValue = HnswGetValue(base, a);
|
||||
Datum bValue = HnswGetValue(base, b);
|
||||
/* Look for cached distance */
|
||||
if (a->neighbors != NULL)
|
||||
{
|
||||
Assert(a->level >= lc);
|
||||
|
||||
return DatumGetFloat8(FunctionCall2Coll(procinfo, collation, aValue, bValue));
|
||||
for (int i = 0; i < a->neighbors[lc].length; i++)
|
||||
{
|
||||
if (a->neighbors[lc].items[i].element == b)
|
||||
return a->neighbors[lc].items[i].distance;
|
||||
}
|
||||
}
|
||||
|
||||
if (b->neighbors != NULL)
|
||||
{
|
||||
Assert(b->level >= lc);
|
||||
|
||||
for (int i = 0; i < b->neighbors[lc].length; i++)
|
||||
{
|
||||
if (b->neighbors[lc].items[i].element == a)
|
||||
return b->neighbors[lc].items[i].distance;
|
||||
}
|
||||
}
|
||||
|
||||
return DatumGetFloat8(FunctionCall2Coll(procinfo, collation, a->value, b->value));
|
||||
}
|
||||
|
||||
/*
|
||||
* Check if an element is closer to q than any element from R
|
||||
*/
|
||||
static bool
|
||||
CheckElementCloser(char *base, HnswCandidate * e, List *r, FmgrInfo *procinfo, Oid collation)
|
||||
CheckElementCloser(HnswCandidate * e, List *r, int lc, FmgrInfo *procinfo, Oid collation)
|
||||
{
|
||||
HnswElement eElement = HnswPtrAccess(base, e->element);
|
||||
ListCell *lc2;
|
||||
|
||||
foreach(lc2, r)
|
||||
{
|
||||
HnswCandidate *ri = lfirst(lc2);
|
||||
HnswElement riElement = HnswPtrAccess(base, ri->element);
|
||||
float distance = HnswGetDistance(base, eElement, riElement, procinfo, collation);
|
||||
float distance = HnswGetDistance(e->element, ri->element, lc, procinfo, collation);
|
||||
|
||||
if (distance <= e->distance)
|
||||
return false;
|
||||
@@ -954,33 +847,25 @@ CheckElementCloser(char *base, HnswCandidate * e, List *r, FmgrInfo *procinfo, O
|
||||
* Algorithm 4 from paper
|
||||
*/
|
||||
static List *
|
||||
SelectNeighbors(char *base, List *c, int lm, int lc, FmgrInfo *procinfo, Oid collation, HnswElement e2, HnswCandidate * newCandidate, HnswCandidate * *pruned, bool sortCandidates)
|
||||
SelectNeighbors(List *c, int m, int lc, FmgrInfo *procinfo, Oid collation, HnswElement e2, HnswCandidate * newCandidate, HnswCandidate * *pruned, bool sortCandidates)
|
||||
{
|
||||
List *r = NIL;
|
||||
List *w = list_copy(c);
|
||||
HnswCandidate **wd;
|
||||
int wdlen = 0;
|
||||
int wdoff = 0;
|
||||
HnswNeighborArray *neighbors = HnswGetNeighbors(base, e2, lc);
|
||||
bool mustCalculate = !neighbors->closerSet;
|
||||
pairingheap *wd;
|
||||
bool mustCalculate = !e2->neighbors[lc].closerSet;
|
||||
List *added = NIL;
|
||||
bool removedAny = false;
|
||||
|
||||
if (list_length(w) <= lm)
|
||||
if (list_length(w) <= m)
|
||||
return w;
|
||||
|
||||
wd = palloc(sizeof(HnswCandidate *) * list_length(w));
|
||||
wd = pairingheap_allocate(CompareNearestCandidates, NULL);
|
||||
|
||||
/* Ensure order of candidates is deterministic for closer caching */
|
||||
if (sortCandidates)
|
||||
{
|
||||
if (base == NULL)
|
||||
list_sort(w, CompareCandidateDistances);
|
||||
else
|
||||
list_sort(w, CompareCandidateDistancesOffset);
|
||||
}
|
||||
list_sort(w, CompareCandidateDistances);
|
||||
|
||||
while (list_length(w) > 0 && list_length(r) < lm)
|
||||
while (list_length(w) > 0 && list_length(r) < m)
|
||||
{
|
||||
/* Assumes w is already ordered desc */
|
||||
HnswCandidate *e = llast(w);
|
||||
@@ -989,20 +874,16 @@ SelectNeighbors(char *base, List *c, int lm, int lc, FmgrInfo *procinfo, Oid col
|
||||
|
||||
/* Use previous state of r and wd to skip work when possible */
|
||||
if (mustCalculate)
|
||||
e->closer = CheckElementCloser(base, e, r, procinfo, collation);
|
||||
e->closer = CheckElementCloser(e, r, lc, procinfo, collation);
|
||||
else if (list_length(added) > 0)
|
||||
{
|
||||
/* Keep Valgrind happy for in-memory, parallel builds */
|
||||
if (base != NULL)
|
||||
VALGRIND_MAKE_MEM_DEFINED(&e->closer, 1);
|
||||
|
||||
/*
|
||||
* If the current candidate was closer, we only need to compare it
|
||||
* with the other candidates that we have added.
|
||||
*/
|
||||
if (e->closer)
|
||||
{
|
||||
e->closer = CheckElementCloser(base, e, added, procinfo, collation);
|
||||
e->closer = CheckElementCloser(e, added, lc, procinfo, collation);
|
||||
|
||||
if (!e->closer)
|
||||
removedAny = true;
|
||||
@@ -1015,7 +896,7 @@ SelectNeighbors(char *base, List *c, int lm, int lc, FmgrInfo *procinfo, Oid col
|
||||
*/
|
||||
if (removedAny)
|
||||
{
|
||||
e->closer = CheckElementCloser(base, e, r, procinfo, collation);
|
||||
e->closer = CheckElementCloser(e, r, lc, procinfo, collation);
|
||||
if (e->closer)
|
||||
added = lappend(added, e);
|
||||
}
|
||||
@@ -1023,33 +904,29 @@ SelectNeighbors(char *base, List *c, int lm, int lc, FmgrInfo *procinfo, Oid col
|
||||
}
|
||||
else if (e == newCandidate)
|
||||
{
|
||||
e->closer = CheckElementCloser(base, e, r, procinfo, collation);
|
||||
e->closer = CheckElementCloser(e, r, lc, procinfo, collation);
|
||||
if (e->closer)
|
||||
added = lappend(added, e);
|
||||
}
|
||||
|
||||
/* Keep Valgrind happy for in-memory, parallel builds */
|
||||
if (base != NULL)
|
||||
VALGRIND_MAKE_MEM_DEFINED(&e->closer, 1);
|
||||
|
||||
if (e->closer)
|
||||
r = lappend(r, e);
|
||||
else
|
||||
wd[wdlen++] = e;
|
||||
pairingheap_add(wd, &(CreatePairingHeapNode(e)->ph_node));
|
||||
}
|
||||
|
||||
/* Cached value can only be used in future if sorted deterministically */
|
||||
neighbors->closerSet = sortCandidates;
|
||||
e2->neighbors[lc].closerSet = sortCandidates;
|
||||
|
||||
/* Keep pruned connections */
|
||||
while (wdoff < wdlen && list_length(r) < lm)
|
||||
r = lappend(r, wd[wdoff++]);
|
||||
while (!pairingheap_is_empty(wd) && list_length(r) < m)
|
||||
r = lappend(r, ((HnswPairingHeapNode *) pairingheap_remove_first(wd))->inner);
|
||||
|
||||
/* Return pruned for update connections */
|
||||
if (pruned != NULL)
|
||||
{
|
||||
if (wdoff < wdlen)
|
||||
*pruned = wd[wdoff];
|
||||
if (!pairingheap_is_empty(wd))
|
||||
*pruned = ((HnswPairingHeapNode *) pairingheap_first(wd))->inner;
|
||||
else
|
||||
*pruned = linitial(w);
|
||||
}
|
||||
@@ -1057,14 +934,38 @@ SelectNeighbors(char *base, List *c, int lm, int lc, FmgrInfo *procinfo, Oid col
|
||||
return r;
|
||||
}
|
||||
|
||||
/*
|
||||
* Find duplicate element
|
||||
*/
|
||||
HnswElement
|
||||
HnswFindDuplicate(HnswElement e)
|
||||
{
|
||||
HnswNeighborArray *neighbors = &e->neighbors[0];
|
||||
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
{
|
||||
HnswCandidate *neighbor = &neighbors->items[i];
|
||||
|
||||
/* Exit early since ordered by distance */
|
||||
if (!datumIsEqual(e->value, neighbor->element->value, false, -1))
|
||||
break;
|
||||
|
||||
/* Check for space */
|
||||
if (list_length(neighbor->element->heaptids) < HNSW_HEAPTIDS)
|
||||
return neighbor->element;
|
||||
}
|
||||
|
||||
return NULL;
|
||||
}
|
||||
|
||||
/*
|
||||
* Add connections
|
||||
*/
|
||||
static void
|
||||
AddConnections(char *base, HnswElement element, List *neighbors, int lc)
|
||||
AddConnections(HnswElement element, List *neighbors, int m, int lc)
|
||||
{
|
||||
ListCell *lc2;
|
||||
HnswNeighborArray *a = HnswGetNeighbors(base, element, lc);
|
||||
HnswNeighborArray *a = &element->neighbors[lc];
|
||||
|
||||
foreach(lc2, neighbors)
|
||||
a->items[a->length++] = *((HnswCandidate *) lfirst(lc2));
|
||||
@@ -1074,16 +975,16 @@ AddConnections(char *base, HnswElement element, List *neighbors, int lc)
|
||||
* Update connections
|
||||
*/
|
||||
void
|
||||
HnswUpdateConnection(char *base, HnswElement element, HnswCandidate * hc, int lm, int lc, int *updateIdx, Relation index, FmgrInfo *procinfo, Oid collation)
|
||||
HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int *updateIdx, Relation index, FmgrInfo *procinfo, Oid collation)
|
||||
{
|
||||
HnswElement hce = HnswPtrAccess(base, hc->element);
|
||||
HnswNeighborArray *currentNeighbors = HnswGetNeighbors(base, hce, lc);
|
||||
HnswNeighborArray *currentNeighbors = &hc->element->neighbors[lc];
|
||||
|
||||
HnswCandidate hc2;
|
||||
|
||||
HnswPtrStore(base, hc2.element, element);
|
||||
hc2.element = element;
|
||||
hc2.distance = hc->distance;
|
||||
|
||||
if (currentNeighbors->length < lm)
|
||||
if (currentNeighbors->length < m)
|
||||
{
|
||||
currentNeighbors->items[currentNeighbors->length++] = hc2;
|
||||
|
||||
@@ -1099,20 +1000,19 @@ HnswUpdateConnection(char *base, HnswElement element, HnswCandidate * hc, int lm
|
||||
/* Load elements on insert */
|
||||
if (index != NULL)
|
||||
{
|
||||
Datum q = HnswGetValue(base, hce);
|
||||
Datum q = hc->element->value;
|
||||
|
||||
for (int i = 0; i < currentNeighbors->length; i++)
|
||||
{
|
||||
HnswCandidate *hc3 = ¤tNeighbors->items[i];
|
||||
HnswElement hc3Element = HnswPtrAccess(base, hc3->element);
|
||||
|
||||
if (HnswPtrIsNull(base, hc3Element->value))
|
||||
HnswLoadElement(hc3Element, &hc3->distance, &q, index, procinfo, collation, true);
|
||||
if (DatumGetPointer(hc3->element->value) == NULL)
|
||||
HnswLoadElement(hc3->element, &hc3->distance, &q, index, procinfo, collation, true);
|
||||
else
|
||||
hc3->distance = GetCandidateDistance(base, hc3, q, procinfo, collation);
|
||||
hc3->distance = GetCandidateDistance(hc3, q, procinfo, collation);
|
||||
|
||||
/* Prune element if being deleted */
|
||||
if (hc3Element->heaptidsLength == 0)
|
||||
if (list_length(hc3->element->heaptids) == 0)
|
||||
{
|
||||
pruned = ¤tNeighbors->items[i];
|
||||
break;
|
||||
@@ -1129,7 +1029,7 @@ HnswUpdateConnection(char *base, HnswElement element, HnswCandidate * hc, int lm
|
||||
c = lappend(c, ¤tNeighbors->items[i]);
|
||||
c = lappend(c, &hc2);
|
||||
|
||||
SelectNeighbors(base, c, lm, lc, procinfo, collation, hce, &hc2, &pruned, true);
|
||||
SelectNeighbors(c, m, lc, procinfo, collation, hc->element, &hc2, &pruned, true);
|
||||
|
||||
/* Should not happen */
|
||||
if (pruned == NULL)
|
||||
@@ -1139,7 +1039,7 @@ HnswUpdateConnection(char *base, HnswElement element, HnswCandidate * hc, int lm
|
||||
/* Find and replace the pruned element */
|
||||
for (int i = 0; i < currentNeighbors->length; i++)
|
||||
{
|
||||
if (HnswPtrEqual(base, currentNeighbors->items[i].element, pruned->element))
|
||||
if (currentNeighbors->items[i].element == pruned->element)
|
||||
{
|
||||
currentNeighbors->items[i] = hc2;
|
||||
|
||||
@@ -1157,65 +1057,43 @@ HnswUpdateConnection(char *base, HnswElement element, HnswCandidate * hc, int lm
|
||||
* Remove elements being deleted or skipped
|
||||
*/
|
||||
static List *
|
||||
RemoveElements(char *base, List *w, HnswElement skipElement)
|
||||
RemoveElements(List *w, HnswElement skipElement)
|
||||
{
|
||||
ListCell *lc2;
|
||||
List *w2 = NIL;
|
||||
|
||||
/* Ensure does not access heaptidsLength during in-memory build */
|
||||
pg_memory_barrier();
|
||||
|
||||
foreach(lc2, w)
|
||||
{
|
||||
HnswCandidate *hc = (HnswCandidate *) lfirst(lc2);
|
||||
HnswElement hce = HnswPtrAccess(base, hc->element);
|
||||
|
||||
/* Skip self for vacuuming update */
|
||||
if (skipElement != NULL && hce->blkno == skipElement->blkno && hce->offno == skipElement->offno)
|
||||
if (skipElement != NULL && hc->element->blkno == skipElement->blkno && hc->element->offno == skipElement->offno)
|
||||
continue;
|
||||
|
||||
if (hce->heaptidsLength != 0)
|
||||
if (list_length(hc->element->heaptids) != 0)
|
||||
w2 = lappend(w2, hc);
|
||||
}
|
||||
|
||||
return w2;
|
||||
}
|
||||
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
/*
|
||||
* Precompute hash
|
||||
*/
|
||||
static void
|
||||
PrecomputeHash(char *base, HnswElement element)
|
||||
{
|
||||
HnswElementPtr ptr;
|
||||
|
||||
HnswPtrStore(base, ptr, element);
|
||||
|
||||
if (base == NULL)
|
||||
element->hash = hash_pointer((uintptr_t) HnswPtrPointer(ptr));
|
||||
else
|
||||
element->hash = hash_offset(HnswPtrOffset(ptr));
|
||||
}
|
||||
#endif
|
||||
|
||||
/*
|
||||
* Algorithm 1 from paper
|
||||
*/
|
||||
void
|
||||
HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint, Relation index, FmgrInfo *procinfo, Oid collation, int m, int efConstruction, bool existing)
|
||||
HnswInsertElement(HnswElement element, HnswElement entryPoint, Relation index, FmgrInfo *procinfo, Oid collation, int m, int efConstruction, bool existing)
|
||||
{
|
||||
List *ep;
|
||||
List *w;
|
||||
int level = element->level;
|
||||
int entryLevel;
|
||||
Datum q = HnswGetValue(base, element);
|
||||
Datum q = element->value;
|
||||
HnswElement skipElement = existing ? element : NULL;
|
||||
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
/* Precompute hash */
|
||||
if (index == NULL)
|
||||
PrecomputeHash(base, element);
|
||||
element->hash = hash_pointer((uintptr_t) element);
|
||||
#endif
|
||||
|
||||
/* No neighbors if no entry point */
|
||||
@@ -1223,13 +1101,13 @@ HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint
|
||||
return;
|
||||
|
||||
/* Get entry point and level */
|
||||
ep = list_make1(HnswEntryCandidate(base, entryPoint, q, index, procinfo, collation, true));
|
||||
ep = list_make1(HnswEntryCandidate(entryPoint, q, index, procinfo, collation, true));
|
||||
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, procinfo, collation, m, true, skipElement);
|
||||
w = HnswSearchLayer(q, ep, 1, lc, index, procinfo, collation, m, true, skipElement);
|
||||
ep = w;
|
||||
}
|
||||
|
||||
@@ -1247,12 +1125,12 @@ HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint
|
||||
List *neighbors;
|
||||
List *lw;
|
||||
|
||||
w = HnswSearchLayer(base, q, ep, efConstruction, lc, index, procinfo, collation, m, true, skipElement);
|
||||
w = HnswSearchLayer(q, ep, efConstruction, lc, index, procinfo, collation, m, true, skipElement);
|
||||
|
||||
/* Elements being deleted or skipped can help with search */
|
||||
/* but should be removed before selecting neighbors */
|
||||
if (index != NULL)
|
||||
lw = RemoveElements(base, w, skipElement);
|
||||
lw = RemoveElements(w, skipElement);
|
||||
else
|
||||
lw = w;
|
||||
|
||||
@@ -1261,9 +1139,9 @@ 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, lc, procinfo, collation, element, NULL, NULL, false);
|
||||
neighbors = SelectNeighbors(lw, lm, lc, procinfo, collation, element, NULL, NULL, false);
|
||||
|
||||
AddConnections(base, element, neighbors, lc);
|
||||
AddConnections(element, neighbors, lm, lc);
|
||||
|
||||
ep = w;
|
||||
}
|
||||
|
||||
@@ -2,7 +2,6 @@
|
||||
|
||||
#include <math.h>
|
||||
|
||||
#include "access/generic_xlog.h"
|
||||
#include "commands/vacuum.h"
|
||||
#include "hnsw.h"
|
||||
#include "storage/bufmgr.h"
|
||||
@@ -60,7 +59,8 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
|
||||
/* Iterate over nodes */
|
||||
for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
|
||||
{
|
||||
HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, PageGetItemId(page, offno));
|
||||
ItemId itemid = PageGetItemId(page, offno);
|
||||
HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, itemid);
|
||||
int idx = 0;
|
||||
bool itemUpdated = false;
|
||||
|
||||
@@ -91,10 +91,15 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
|
||||
|
||||
if (itemUpdated)
|
||||
{
|
||||
Size etupSize = ItemIdGetLength(itemid);
|
||||
|
||||
/* Mark rest as invalid */
|
||||
for (int i = idx; i < HNSW_HEAPTIDS; i++)
|
||||
ItemPointerSetInvalid(&etup->heaptids[i]);
|
||||
|
||||
if (!PageIndexTupleOverwrite(page, offno, (Item) etup, etupSize))
|
||||
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
|
||||
|
||||
updated = true;
|
||||
}
|
||||
}
|
||||
@@ -194,25 +199,21 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswEleme
|
||||
BufferAccessStrategy bas = vacuumstate->bas;
|
||||
HnswNeighborTuple ntup = vacuumstate->ntup;
|
||||
Size ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(element->level, m);
|
||||
char *base = NULL;
|
||||
|
||||
/* Skip if element is entry point */
|
||||
if (entryPoint != NULL && element->blkno == entryPoint->blkno && element->offno == entryPoint->offno)
|
||||
return;
|
||||
|
||||
/* Init fields */
|
||||
HnswInitNeighbors(base, element, m, NULL);
|
||||
element->heaptidsLength = 0;
|
||||
HnswInitNeighbors(element, m);
|
||||
element->heaptids = NIL;
|
||||
|
||||
/* Find neighbors for element, skipping itself */
|
||||
HnswFindElementNeighbors(base, element, entryPoint, index, procinfo, collation, m, efConstruction, true);
|
||||
|
||||
/* Zero memory for each element */
|
||||
MemSet(ntup, 0, HNSW_TUPLE_ALLOC_SIZE);
|
||||
/* Add element to graph, skipping itself */
|
||||
HnswInsertElement(element, entryPoint, index, procinfo, collation, m, efConstruction, true);
|
||||
|
||||
/* Update neighbor tuple */
|
||||
/* Do this before getting page to minimize locking */
|
||||
HnswSetNeighborTuple(base, ntup, element, m);
|
||||
HnswSetNeighborTuple(ntup, element, m);
|
||||
|
||||
/* Get neighbor page */
|
||||
buf = ReadBufferExtended(index, MAIN_FORKNUM, element->neighborPage, RBM_NORMAL, bas);
|
||||
@@ -229,7 +230,7 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswEleme
|
||||
UnlockReleaseBuffer(buf);
|
||||
|
||||
/* Update neighbors */
|
||||
HnswUpdateNeighborsOnDisk(index, procinfo, collation, element, m, true, false);
|
||||
HnswUpdateNeighborPages(index, procinfo, collation, element, m, true, false);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -300,7 +301,7 @@ RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
|
||||
{
|
||||
/* Reset neighbors from previous update */
|
||||
if (highestPoint != NULL)
|
||||
HnswPtrStore((char *) NULL, highestPoint->neighbors, (HnswNeighborArrayPtr *) NULL);
|
||||
highestPoint->neighbors = NULL;
|
||||
|
||||
RepairGraphElement(vacuumstate, entryPoint, highestPoint);
|
||||
}
|
||||
@@ -476,8 +477,11 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
/* Update element and neighbors together */
|
||||
for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
|
||||
{
|
||||
HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, PageGetItemId(page, offno));
|
||||
ItemId itemid = PageGetItemId(page, offno);
|
||||
HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, itemid);
|
||||
HnswNeighborTuple ntup;
|
||||
Size etupSize;
|
||||
Size ntupSize;
|
||||
Buffer nbuf;
|
||||
Page npage;
|
||||
BlockNumber neighborPage;
|
||||
@@ -501,6 +505,10 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
if (ItemPointerIsValid(&etup->heaptids[0]))
|
||||
continue;
|
||||
|
||||
/* Calculate sizes */
|
||||
etupSize = ItemIdGetLength(itemid);
|
||||
ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(etup->level, vacuumstate->m);
|
||||
|
||||
/* Get neighbor page */
|
||||
neighborPage = ItemPointerGetBlockNumber(&etup->neighbortid);
|
||||
neighborOffno = ItemPointerGetOffsetNumber(&etup->neighbortid);
|
||||
@@ -527,10 +535,13 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
for (int i = 0; i < ntup->count; i++)
|
||||
ItemPointerSetInvalid(&ntup->indextids[i]);
|
||||
|
||||
/*
|
||||
* We modified the tuples in place, no need to call
|
||||
* PageIndexTupleOverwrite
|
||||
*/
|
||||
/* Overwrite element tuple */
|
||||
if (!PageIndexTupleOverwrite(page, offno, (Item) etup, etupSize))
|
||||
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
|
||||
|
||||
/* Overwrite neighbor tuple */
|
||||
if (!PageIndexTupleOverwrite(npage, neighborOffno, (Item) ntup, ntupSize))
|
||||
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
|
||||
|
||||
/* Commit */
|
||||
GenericXLogFinish(state);
|
||||
@@ -575,7 +586,7 @@ InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkD
|
||||
vacuumstate->bas = GetAccessStrategy(BAS_BULKREAD);
|
||||
vacuumstate->procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
||||
vacuumstate->collation = index->rd_indcollation[0];
|
||||
vacuumstate->ntup = palloc0(HNSW_TUPLE_ALLOC_SIZE);
|
||||
vacuumstate->ntup = palloc0(BLCKSZ);
|
||||
vacuumstate->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
|
||||
"Hnsw vacuum temporary context",
|
||||
ALLOCSET_DEFAULT_SIZES);
|
||||
|
||||
107
src/ivfbuild.c
107
src/ivfbuild.c
@@ -2,38 +2,58 @@
|
||||
|
||||
#include <float.h>
|
||||
|
||||
#include "access/table.h"
|
||||
#include "access/tableam.h"
|
||||
#include "access/parallel.h"
|
||||
#include "access/xact.h"
|
||||
#include "catalog/index.h"
|
||||
#include "catalog/pg_operator_d.h"
|
||||
#include "catalog/pg_type_d.h"
|
||||
#include "commands/progress.h"
|
||||
#include "ivfflat.h"
|
||||
#include "miscadmin.h"
|
||||
#include "optimizer/optimizer.h"
|
||||
#include "storage/bufmgr.h"
|
||||
#include "tcop/tcopprot.h"
|
||||
#include "utils/memutils.h"
|
||||
|
||||
#if PG_VERSION_NUM >= 140000
|
||||
#include "utils/backend_progress.h"
|
||||
#else
|
||||
#elif PG_VERSION_NUM >= 120000
|
||||
#include "pgstat.h"
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
#include "access/tableam.h"
|
||||
#include "commands/progress.h"
|
||||
#else
|
||||
#define PROGRESS_CREATEIDX_SUBPHASE 0
|
||||
#define PROGRESS_CREATEIDX_TUPLES_TOTAL 0
|
||||
#define PROGRESS_CREATEIDX_TUPLES_DONE 0
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
#define CALLBACK_ITEM_POINTER ItemPointer tid
|
||||
#else
|
||||
#define CALLBACK_ITEM_POINTER HeapTuple hup
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
#define UpdateProgress(index, val) pgstat_progress_update_param(index, val)
|
||||
#else
|
||||
#define UpdateProgress(index, val) ((void)val)
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM >= 140000
|
||||
#include "utils/backend_status.h"
|
||||
#include "utils/wait_event.h"
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
#include "access/table.h"
|
||||
#include "optimizer/optimizer.h"
|
||||
#else
|
||||
#include "access/heapam.h"
|
||||
#include "optimizer/planner.h"
|
||||
#include "pgstat.h"
|
||||
#endif
|
||||
|
||||
#define PARALLEL_KEY_IVFFLAT_SHARED UINT64CONST(0xA000000000000001)
|
||||
#define PARALLEL_KEY_TUPLESORT UINT64CONST(0xA000000000000002)
|
||||
#define PARALLEL_KEY_IVFFLAT_CENTERS UINT64CONST(0xA000000000000003)
|
||||
@@ -130,8 +150,13 @@ SampleRows(IvfflatBuildState * buildstate)
|
||||
{
|
||||
BlockNumber targblock = BlockSampler_Next(&buildstate->bs);
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
table_index_build_range_scan(buildstate->heap, buildstate->index, buildstate->indexInfo,
|
||||
false, true, false, targblock, 1, SampleCallback, (void *) buildstate, NULL);
|
||||
#else
|
||||
IndexBuildHeapRangeScan(buildstate->heap, buildstate->index, buildstate->indexInfo,
|
||||
false, true, targblock, 1, SampleCallback, (void *) buildstate, NULL);
|
||||
#endif
|
||||
}
|
||||
}
|
||||
|
||||
@@ -257,12 +282,16 @@ InsertTuples(Relation index, IvfflatBuildState * buildstate, ForkNumber forkNum)
|
||||
IndexTuple itup = NULL; /* silence compiler warning */
|
||||
int64 inserted = 0;
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
TupleTableSlot *slot = MakeSingleTupleTableSlot(buildstate->tupdesc, &TTSOpsMinimalTuple);
|
||||
#else
|
||||
TupleTableSlot *slot = MakeSingleTupleTableSlot(buildstate->tupdesc);
|
||||
#endif
|
||||
TupleDesc tupdesc = RelationGetDescr(index);
|
||||
|
||||
pgstat_progress_update_param(PROGRESS_CREATEIDX_SUBPHASE, PROGRESS_IVFFLAT_PHASE_LOAD);
|
||||
UpdateProgress(PROGRESS_CREATEIDX_SUBPHASE, PROGRESS_IVFFLAT_PHASE_LOAD);
|
||||
|
||||
pgstat_progress_update_param(PROGRESS_CREATEIDX_TUPLES_TOTAL, buildstate->indtuples);
|
||||
UpdateProgress(PROGRESS_CREATEIDX_TUPLES_TOTAL, buildstate->indtuples);
|
||||
|
||||
GetNextTuple(buildstate->sortstate, tupdesc, slot, &itup, &list);
|
||||
|
||||
@@ -298,7 +327,7 @@ InsertTuples(Relation index, IvfflatBuildState * buildstate, ForkNumber forkNum)
|
||||
|
||||
pfree(itup);
|
||||
|
||||
pgstat_progress_update_param(PROGRESS_CREATEIDX_TUPLES_DONE, ++inserted);
|
||||
UpdateProgress(PROGRESS_CREATEIDX_TUPLES_DONE, ++inserted);
|
||||
|
||||
GetNextTuple(buildstate->sortstate, tupdesc, slot, &itup, &list);
|
||||
}
|
||||
@@ -346,12 +375,20 @@ InitBuildState(IvfflatBuildState * buildstate, Relation heap, Relation index, In
|
||||
elog(ERROR, "dimensions must be greater than one for this opclass");
|
||||
|
||||
/* Create tuple description for sorting */
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
buildstate->tupdesc = CreateTemplateTupleDesc(3);
|
||||
#else
|
||||
buildstate->tupdesc = CreateTemplateTupleDesc(3, false);
|
||||
#endif
|
||||
TupleDescInitEntry(buildstate->tupdesc, (AttrNumber) 1, "list", INT4OID, -1, 0);
|
||||
TupleDescInitEntry(buildstate->tupdesc, (AttrNumber) 2, "tid", TIDOID, -1, 0);
|
||||
TupleDescInitEntry(buildstate->tupdesc, (AttrNumber) 3, "vector", RelationGetDescr(index)->attrs[0].atttypid, -1, 0);
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
buildstate->slot = MakeSingleTupleTableSlot(buildstate->tupdesc, &TTSOpsVirtual);
|
||||
#else
|
||||
buildstate->slot = MakeSingleTupleTableSlot(buildstate->tupdesc);
|
||||
#endif
|
||||
|
||||
buildstate->centers = VectorArrayInit(buildstate->lists, buildstate->dimensions);
|
||||
buildstate->listInfo = palloc(sizeof(ListInfo) * buildstate->lists);
|
||||
@@ -398,7 +435,7 @@ ComputeCenters(IvfflatBuildState * buildstate)
|
||||
{
|
||||
int numSamples;
|
||||
|
||||
pgstat_progress_update_param(PROGRESS_CREATEIDX_SUBPHASE, PROGRESS_IVFFLAT_PHASE_KMEANS);
|
||||
UpdateProgress(PROGRESS_CREATEIDX_SUBPHASE, PROGRESS_IVFFLAT_PHASE_KMEANS);
|
||||
|
||||
/* Target 50 samples per list, with at least 10000 samples */
|
||||
/* The number of samples has a large effect on index build time */
|
||||
@@ -473,7 +510,7 @@ CreateListPages(Relation index, VectorArray centers, int dimensions,
|
||||
IvfflatList list;
|
||||
|
||||
listSize = MAXALIGN(IVFFLAT_LIST_SIZE(dimensions));
|
||||
list = palloc0(listSize);
|
||||
list = palloc(listSize);
|
||||
|
||||
buf = IvfflatNewBuffer(index, forkNum);
|
||||
IvfflatInitRegisterPage(index, &buf, &page, &state);
|
||||
@@ -506,10 +543,10 @@ CreateListPages(Relation index, VectorArray centers, int dimensions,
|
||||
pfree(list);
|
||||
}
|
||||
|
||||
#ifdef IVFFLAT_KMEANS_DEBUG
|
||||
/*
|
||||
* Print k-means metrics
|
||||
*/
|
||||
#ifdef IVFFLAT_KMEANS_DEBUG
|
||||
static void
|
||||
PrintKmeansMetrics(IvfflatBuildState * buildstate)
|
||||
{
|
||||
@@ -594,7 +631,11 @@ IvfflatParallelScanAndSort(IvfflatSpool * ivfspool, IvfflatShared * ivfshared, S
|
||||
{
|
||||
SortCoordinate coordinate;
|
||||
IvfflatBuildState buildstate;
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
TableScanDesc scan;
|
||||
#else
|
||||
HeapScanDesc scan;
|
||||
#endif
|
||||
double reltuples;
|
||||
IndexInfo *indexInfo;
|
||||
|
||||
@@ -618,11 +659,18 @@ IvfflatParallelScanAndSort(IvfflatSpool * ivfspool, IvfflatShared * ivfshared, S
|
||||
buildstate.centers->length = buildstate.centers->maxlen;
|
||||
ivfspool->sortstate = tuplesort_begin_heap(buildstate.tupdesc, 1, attNums, sortOperators, sortCollations, nullsFirstFlags, sortmem, coordinate, false);
|
||||
buildstate.sortstate = ivfspool->sortstate;
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
scan = table_beginscan_parallel(ivfspool->heap,
|
||||
ParallelTableScanFromIvfflatShared(ivfshared));
|
||||
reltuples = table_index_build_scan(ivfspool->heap, ivfspool->index, indexInfo,
|
||||
true, progress, BuildCallback,
|
||||
(void *) &buildstate, scan);
|
||||
#else
|
||||
scan = heap_beginscan_parallel(ivfspool->heap, &ivfshared->heapdesc);
|
||||
reltuples = IndexBuildHeapScan(ivfspool->heap, ivfspool->index, indexInfo,
|
||||
true, BuildCallback,
|
||||
(void *) &buildstate, scan);
|
||||
#endif
|
||||
|
||||
/* Execute this worker's part of the sort */
|
||||
tuplesort_performsort(ivfspool->sortstate);
|
||||
@@ -692,7 +740,11 @@ IvfflatParallelBuildMain(dsm_segment *seg, shm_toc *toc)
|
||||
}
|
||||
|
||||
/* Open relations within worker */
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
heapRel = table_open(ivfshared->heaprelid, heapLockmode);
|
||||
#else
|
||||
heapRel = heap_open(ivfshared->heaprelid, heapLockmode);
|
||||
#endif
|
||||
indexRel = index_open(ivfshared->indexrelid, indexLockmode);
|
||||
|
||||
/* Initialize worker's own spool */
|
||||
@@ -712,7 +764,11 @@ IvfflatParallelBuildMain(dsm_segment *seg, shm_toc *toc)
|
||||
|
||||
/* Close relations within worker */
|
||||
index_close(indexRel, indexLockmode);
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
table_close(heapRel, heapLockmode);
|
||||
#else
|
||||
heap_close(heapRel, heapLockmode);
|
||||
#endif
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -737,7 +793,19 @@ IvfflatEndParallel(IvfflatLeader * ivfleader)
|
||||
static Size
|
||||
ParallelEstimateShared(Relation heap, Snapshot snapshot)
|
||||
{
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
return add_size(BUFFERALIGN(sizeof(IvfflatShared)), table_parallelscan_estimate(heap, snapshot));
|
||||
#else
|
||||
if (!IsMVCCSnapshot(snapshot))
|
||||
{
|
||||
Assert(snapshot == SnapshotAny);
|
||||
return sizeof(IvfflatShared);
|
||||
}
|
||||
|
||||
return add_size(offsetof(IvfflatShared, heapdesc) +
|
||||
offsetof(ParallelHeapScanDescData, phs_snapshot_data),
|
||||
EstimateSnapshotSpace(snapshot));
|
||||
#endif
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -788,7 +856,11 @@ IvfflatBeginParallel(IvfflatBuildState * buildstate, bool isconcurrent, int requ
|
||||
/* Enter parallel mode and create context */
|
||||
EnterParallelMode();
|
||||
Assert(request > 0);
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
pcxt = CreateParallelContext("vector", "IvfflatParallelBuildMain", request);
|
||||
#else
|
||||
pcxt = CreateParallelContext("vector", "IvfflatParallelBuildMain", request, true);
|
||||
#endif
|
||||
|
||||
scantuplesortstates = leaderparticipates ? request + 1 : request;
|
||||
|
||||
@@ -846,9 +918,13 @@ IvfflatBeginParallel(IvfflatBuildState * buildstate, bool isconcurrent, int requ
|
||||
#ifdef IVFFLAT_KMEANS_DEBUG
|
||||
ivfshared->inertia = 0;
|
||||
#endif
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
table_parallelscan_initialize(buildstate->heap,
|
||||
ParallelTableScanFromIvfflatShared(ivfshared),
|
||||
snapshot);
|
||||
#else
|
||||
heap_parallelscan_initialize(&ivfshared->heapdesc, buildstate->heap, snapshot);
|
||||
#endif
|
||||
|
||||
/* Store shared tuplesort-private state, for which we reserved space */
|
||||
sharedsort = (Sharedsort *) shm_toc_allocate(pcxt->toc, estsort);
|
||||
@@ -919,7 +995,7 @@ AssignTuples(IvfflatBuildState * buildstate)
|
||||
Oid sortCollations[] = {InvalidOid};
|
||||
bool nullsFirstFlags[] = {false};
|
||||
|
||||
pgstat_progress_update_param(PROGRESS_CREATEIDX_SUBPHASE, PROGRESS_IVFFLAT_PHASE_ASSIGN);
|
||||
UpdateProgress(PROGRESS_CREATEIDX_SUBPHASE, PROGRESS_IVFFLAT_PHASE_ASSIGN);
|
||||
|
||||
/* Calculate parallel workers */
|
||||
if (buildstate->heap != NULL)
|
||||
@@ -947,8 +1023,15 @@ AssignTuples(IvfflatBuildState * buildstate)
|
||||
if (buildstate->ivfleader)
|
||||
buildstate->reltuples = ParallelHeapScan(buildstate);
|
||||
else
|
||||
{
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
buildstate->reltuples = table_index_build_scan(buildstate->heap, buildstate->index, buildstate->indexInfo,
|
||||
true, true, BuildCallback, (void *) buildstate, NULL);
|
||||
#else
|
||||
buildstate->reltuples = IndexBuildHeapScan(buildstate->heap, buildstate->index, buildstate->indexInfo,
|
||||
true, BuildCallback, (void *) buildstate, NULL);
|
||||
#endif
|
||||
}
|
||||
|
||||
#ifdef IVFFLAT_KMEANS_DEBUG
|
||||
PrintKmeansMetrics(buildstate);
|
||||
|
||||
@@ -3,16 +3,14 @@
|
||||
#include <float.h>
|
||||
|
||||
#include "access/amapi.h"
|
||||
#include "access/reloptions.h"
|
||||
#include "commands/progress.h"
|
||||
#include "commands/vacuum.h"
|
||||
#include "ivfflat.h"
|
||||
#include "utils/guc.h"
|
||||
#include "utils/selfuncs.h"
|
||||
#include "utils/spccache.h"
|
||||
|
||||
#if PG_VERSION_NUM < 150000
|
||||
#define MarkGUCPrefixReserved(x) EmitWarningsOnPlaceholders(x)
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
#include "commands/progress.h"
|
||||
#endif
|
||||
|
||||
int ivfflat_probes;
|
||||
@@ -35,13 +33,12 @@ IvfflatInit(void)
|
||||
DefineCustomIntVariable("ivfflat.probes", "Sets the number of probes",
|
||||
"Valid range is 1..lists.", &ivfflat_probes,
|
||||
IVFFLAT_DEFAULT_PROBES, IVFFLAT_MIN_LISTS, IVFFLAT_MAX_LISTS, PGC_USERSET, 0, NULL, NULL, NULL);
|
||||
|
||||
MarkGUCPrefixReserved("ivfflat");
|
||||
}
|
||||
|
||||
/*
|
||||
* Get the name of index build phase
|
||||
*/
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
static char *
|
||||
ivfflatbuildphasename(int64 phasenum)
|
||||
{
|
||||
@@ -59,6 +56,7 @@ ivfflatbuildphasename(int64 phasenum)
|
||||
return NULL;
|
||||
}
|
||||
}
|
||||
#endif
|
||||
|
||||
/*
|
||||
* Estimate the cost of an index scan
|
||||
@@ -74,6 +72,9 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
||||
double ratio;
|
||||
double spc_seq_page_cost;
|
||||
Relation index;
|
||||
#if PG_VERSION_NUM < 120000
|
||||
List *qinfos;
|
||||
#endif
|
||||
|
||||
/* Never use index without order */
|
||||
if (path->indexorderbys == NULL)
|
||||
@@ -104,7 +105,12 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
||||
*/
|
||||
costs.numIndexTuples = path->indexinfo->tuples * ratio;
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
genericcostestimate(root, path, loop_count, &costs);
|
||||
#else
|
||||
qinfos = deconstruct_indexquals(path);
|
||||
genericcostestimate(root, path, loop_count, qinfos, &costs);
|
||||
#endif
|
||||
|
||||
get_tablespace_page_costs(path->indexinfo->reltablespace, NULL, &spc_seq_page_cost);
|
||||
|
||||
@@ -221,7 +227,9 @@ ivfflathandler(PG_FUNCTION_ARGS)
|
||||
amroutine->amcostestimate = ivfflatcostestimate;
|
||||
amroutine->amoptions = ivfflatoptions;
|
||||
amroutine->amproperty = NULL; /* TODO AMPROP_DISTANCE_ORDERABLE */
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
amroutine->ambuildphasename = ivfflatbuildphasename;
|
||||
#endif
|
||||
amroutine->amvalidate = ivfflatvalidate;
|
||||
#if PG_VERSION_NUM >= 140000
|
||||
amroutine->amadjustmembers = NULL;
|
||||
|
||||
@@ -3,10 +3,9 @@
|
||||
|
||||
#include "postgres.h"
|
||||
|
||||
#include "access/genam.h"
|
||||
#include "access/generic_xlog.h"
|
||||
#include "access/parallel.h"
|
||||
#include "lib/pairingheap.h"
|
||||
#include "access/reloptions.h"
|
||||
#include "nodes/execnodes.h"
|
||||
#include "port.h" /* for random() */
|
||||
#include "utils/sampling.h"
|
||||
@@ -17,6 +16,10 @@
|
||||
#include "common/pg_prng.h"
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM < 120000
|
||||
#include "access/relscan.h"
|
||||
#endif
|
||||
|
||||
#ifdef IVFFLAT_BENCH
|
||||
#include "portability/instr_time.h"
|
||||
#endif
|
||||
@@ -132,10 +135,16 @@ typedef struct IvfflatShared
|
||||
#ifdef IVFFLAT_KMEANS_DEBUG
|
||||
double inertia;
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM < 120000
|
||||
ParallelHeapScanDescData heapdesc; /* must come last */
|
||||
#endif
|
||||
} IvfflatShared;
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
#define ParallelTableScanFromIvfflatShared(shared) \
|
||||
(ParallelTableScanDesc) ((char *) (shared) + BUFFERALIGN(sizeof(IvfflatShared)))
|
||||
#endif
|
||||
|
||||
typedef struct IvfflatLeader
|
||||
{
|
||||
|
||||
@@ -2,7 +2,6 @@
|
||||
|
||||
#include <float.h>
|
||||
|
||||
#include "access/generic_xlog.h"
|
||||
#include "ivfflat.h"
|
||||
#include "storage/bufmgr.h"
|
||||
#include "storage/lmgr.h"
|
||||
|
||||
@@ -6,10 +6,6 @@
|
||||
#include "ivfflat.h"
|
||||
#include "miscadmin.h"
|
||||
|
||||
#ifdef IVFFLAT_MEMORY
|
||||
#include "utils/memutils.h"
|
||||
#endif
|
||||
|
||||
/*
|
||||
* Initialize with kmeans++
|
||||
*
|
||||
@@ -155,23 +151,6 @@ QuickCenters(Relation index, VectorArray samples, VectorArray centers)
|
||||
}
|
||||
}
|
||||
|
||||
#ifdef IVFFLAT_MEMORY
|
||||
/*
|
||||
* Show memory usage
|
||||
*/
|
||||
static void
|
||||
ShowMemoryUsage(Size estimatedSize)
|
||||
{
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
elog(INFO, "total memory: %zu MB",
|
||||
MemoryContextMemAllocated(CurrentMemoryContext, true) / (1024 * 1024));
|
||||
#else
|
||||
MemoryContextStats(CurrentMemoryContext);
|
||||
#endif
|
||||
elog(INFO, "estimated memory: %zu MB", estimatedSize / (1024 * 1024));
|
||||
}
|
||||
#endif
|
||||
|
||||
/*
|
||||
* Use Elkan for performance. This requires distance function to satisfy triangle inequality.
|
||||
*
|
||||
@@ -252,10 +231,6 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
vec->dim = dimensions;
|
||||
}
|
||||
|
||||
#ifdef IVFFLAT_MEMORY
|
||||
ShowMemoryUsage(totalSize);
|
||||
#endif
|
||||
|
||||
/* Pick initial centers */
|
||||
InitCenters(index, samples, centers, lowerBound);
|
||||
|
||||
|
||||
@@ -5,7 +5,6 @@
|
||||
#include "access/relscan.h"
|
||||
#include "catalog/pg_operator_d.h"
|
||||
#include "catalog/pg_type_d.h"
|
||||
#include "lib/pairingheap.h"
|
||||
#include "ivfflat.h"
|
||||
#include "miscadmin.h"
|
||||
#include "pgstat.h"
|
||||
@@ -106,7 +105,12 @@ GetScanItems(IndexScanDesc scan, Datum value)
|
||||
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
|
||||
TupleDesc tupdesc = RelationGetDescr(scan->indexRelation);
|
||||
double tuples = 0;
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
TupleTableSlot *slot = MakeSingleTupleTableSlot(so->tupdesc, &TTSOpsVirtual);
|
||||
#else
|
||||
TupleTableSlot *slot = MakeSingleTupleTableSlot(so->tupdesc);
|
||||
#endif
|
||||
|
||||
/*
|
||||
* Reuse same set of shared buffers for scan
|
||||
@@ -212,14 +216,22 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
|
||||
so->collation = index->rd_indcollation[0];
|
||||
|
||||
/* Create tuple description for sorting */
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
so->tupdesc = CreateTemplateTupleDesc(2);
|
||||
#else
|
||||
so->tupdesc = CreateTemplateTupleDesc(2, false);
|
||||
#endif
|
||||
TupleDescInitEntry(so->tupdesc, (AttrNumber) 1, "distance", FLOAT8OID, -1, 0);
|
||||
TupleDescInitEntry(so->tupdesc, (AttrNumber) 2, "heaptid", TIDOID, -1, 0);
|
||||
|
||||
/* Prep sort */
|
||||
so->sortstate = tuplesort_begin_heap(so->tupdesc, 1, attNums, sortOperators, sortCollations, nullsFirstFlags, work_mem, NULL, false);
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
so->slot = MakeSingleTupleTableSlot(so->tupdesc, &TTSOpsMinimalTuple);
|
||||
#else
|
||||
so->slot = MakeSingleTupleTableSlot(so->tupdesc);
|
||||
#endif
|
||||
|
||||
so->listQueue = pairingheap_allocate(CompareLists, scan);
|
||||
|
||||
@@ -309,8 +321,12 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
{
|
||||
ItemPointer heaptid = (ItemPointer) DatumGetPointer(slot_getattr(so->slot, 2, &so->isnull));
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
scan->xs_heaptid = *heaptid;
|
||||
scan->xs_recheck = false;
|
||||
#else
|
||||
scan->xs_ctup.t_self = *heaptid;
|
||||
#endif
|
||||
|
||||
scan->xs_recheckorderby = false;
|
||||
return true;
|
||||
}
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
#include "postgres.h"
|
||||
|
||||
#include "access/generic_xlog.h"
|
||||
#include "ivfflat.h"
|
||||
#include "storage/bufmgr.h"
|
||||
#include "vector.h"
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
#include "postgres.h"
|
||||
|
||||
#include "access/generic_xlog.h"
|
||||
#include "commands/vacuum.h"
|
||||
#include "ivfflat.h"
|
||||
#include "storage/bufmgr.h"
|
||||
|
||||
59
src/vector.c
59
src/vector.c
@@ -3,7 +3,6 @@
|
||||
#include <math.h>
|
||||
|
||||
#include "catalog/pg_type.h"
|
||||
#include "common/shortest_dec.h"
|
||||
#include "fmgr.h"
|
||||
#include "hnsw.h"
|
||||
#include "ivfflat.h"
|
||||
@@ -12,7 +11,6 @@
|
||||
#include "port.h" /* for strtof() */
|
||||
#include "utils/array.h"
|
||||
#include "utils/builtins.h"
|
||||
#include "utils/float.h"
|
||||
#include "utils/lsyscache.h"
|
||||
#include "utils/numeric.h"
|
||||
#include "vector.h"
|
||||
@@ -21,6 +19,13 @@
|
||||
#include "varatt.h"
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
#include "common/shortest_dec.h"
|
||||
#include "utils/float.h"
|
||||
#else
|
||||
#include <float.h>
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM < 130000
|
||||
#define TYPALIGN_DOUBLE 'd'
|
||||
#define TYPALIGN_INT 'i'
|
||||
@@ -172,15 +177,14 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_in);
|
||||
Datum
|
||||
vector_in(PG_FUNCTION_ARGS)
|
||||
{
|
||||
char *lit = PG_GETARG_CSTRING(0);
|
||||
char *str = PG_GETARG_CSTRING(0);
|
||||
int32 typmod = PG_GETARG_INT32(2);
|
||||
float x[VECTOR_MAX_DIM];
|
||||
int dim = 0;
|
||||
char *pt;
|
||||
char *stringEnd;
|
||||
Vector *result;
|
||||
char *litcopy = pstrdup(lit);
|
||||
char *str = litcopy;
|
||||
char *lit = pstrdup(str);
|
||||
|
||||
while (vector_isspace(*str))
|
||||
str++;
|
||||
@@ -264,7 +268,7 @@ vector_in(PG_FUNCTION_ARGS)
|
||||
(errcode(ERRCODE_DATA_EXCEPTION),
|
||||
errmsg("vector must have at least 1 dimension")));
|
||||
|
||||
pfree(litcopy);
|
||||
pfree(lit);
|
||||
|
||||
CheckExpectedDim(typmod, dim);
|
||||
|
||||
@@ -288,6 +292,15 @@ vector_out(PG_FUNCTION_ARGS)
|
||||
char *ptr;
|
||||
int n;
|
||||
|
||||
#if PG_VERSION_NUM < 120000
|
||||
int ndig = FLT_DIG + extra_float_digits;
|
||||
|
||||
if (ndig < 1)
|
||||
ndig = 1;
|
||||
|
||||
#define FLOAT_SHORTEST_DECIMAL_LEN (ndig + 10)
|
||||
#endif
|
||||
|
||||
/*
|
||||
* Need:
|
||||
*
|
||||
@@ -311,7 +324,11 @@ vector_out(PG_FUNCTION_ARGS)
|
||||
ptr++;
|
||||
}
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
n = float_to_shortest_decimal_bufn(vector->x[i], ptr);
|
||||
#else
|
||||
n = sprintf(ptr, "%.*g", ndig, vector->x[i]);
|
||||
#endif
|
||||
ptr += n;
|
||||
}
|
||||
*ptr = ']';
|
||||
@@ -866,10 +883,9 @@ vector_mul(PG_FUNCTION_ARGS)
|
||||
int
|
||||
vector_cmp_internal(Vector * a, Vector * b)
|
||||
{
|
||||
int dim = Min(a->dim, b->dim);
|
||||
CheckDims(a, b);
|
||||
|
||||
/* Check values before dimensions to be consistent with Postgres arrays */
|
||||
for (int i = 0; i < dim; i++)
|
||||
for (int i = 0; i < a->dim; i++)
|
||||
{
|
||||
if (a->x[i] < b->x[i])
|
||||
return -1;
|
||||
@@ -877,13 +893,6 @@ vector_cmp_internal(Vector * a, Vector * b)
|
||||
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;
|
||||
}
|
||||
|
||||
@@ -897,9 +906,6 @@ vector_lt(PG_FUNCTION_ARGS)
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||
|
||||
/* TODO Remove in 0.7.0 */
|
||||
CheckDims(a, b);
|
||||
|
||||
PG_RETURN_BOOL(vector_cmp_internal(a, b) < 0);
|
||||
}
|
||||
|
||||
@@ -913,9 +919,6 @@ vector_le(PG_FUNCTION_ARGS)
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||
|
||||
/* TODO Remove in 0.7.0 */
|
||||
CheckDims(a, b);
|
||||
|
||||
PG_RETURN_BOOL(vector_cmp_internal(a, b) <= 0);
|
||||
}
|
||||
|
||||
@@ -929,9 +932,6 @@ vector_eq(PG_FUNCTION_ARGS)
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||
|
||||
/* TODO Remove in 0.7.0 */
|
||||
CheckDims(a, b);
|
||||
|
||||
PG_RETURN_BOOL(vector_cmp_internal(a, b) == 0);
|
||||
}
|
||||
|
||||
@@ -945,9 +945,6 @@ vector_ne(PG_FUNCTION_ARGS)
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||
|
||||
/* TODO Remove in 0.7.0 */
|
||||
CheckDims(a, b);
|
||||
|
||||
PG_RETURN_BOOL(vector_cmp_internal(a, b) != 0);
|
||||
}
|
||||
|
||||
@@ -961,9 +958,6 @@ vector_ge(PG_FUNCTION_ARGS)
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||
|
||||
/* TODO Remove in 0.7.0 */
|
||||
CheckDims(a, b);
|
||||
|
||||
PG_RETURN_BOOL(vector_cmp_internal(a, b) >= 0);
|
||||
}
|
||||
|
||||
@@ -977,9 +971,6 @@ vector_gt(PG_FUNCTION_ARGS)
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||
|
||||
/* TODO Remove in 0.7.0 */
|
||||
CheckDims(a, b);
|
||||
|
||||
PG_RETURN_BOOL(vector_cmp_internal(a, b) > 0);
|
||||
}
|
||||
|
||||
|
||||
@@ -24,56 +24,6 @@ SELECT '[1e37]'::vector * '[1e37]';
|
||||
ERROR: value out of range: overflow
|
||||
SELECT '[1e-37]'::vector * '[1e-37]';
|
||||
ERROR: value out of range: underflow
|
||||
SELECT '[1,2,3]'::vector = '[1,2,3]';
|
||||
?column?
|
||||
----------
|
||||
t
|
||||
(1 row)
|
||||
|
||||
SELECT '[1,2,3]'::vector = '[1,2]';
|
||||
ERROR: different vector dimensions 3 and 2
|
||||
SELECT vector_cmp('[1,2,3]', '[1,2,3]');
|
||||
vector_cmp
|
||||
------------
|
||||
0
|
||||
(1 row)
|
||||
|
||||
SELECT vector_cmp('[1,2,3]', '[0,0,0]');
|
||||
vector_cmp
|
||||
------------
|
||||
1
|
||||
(1 row)
|
||||
|
||||
SELECT vector_cmp('[0,0,0]', '[1,2,3]');
|
||||
vector_cmp
|
||||
------------
|
||||
-1
|
||||
(1 row)
|
||||
|
||||
SELECT vector_cmp('[1,2]', '[1,2,3]');
|
||||
vector_cmp
|
||||
------------
|
||||
-1
|
||||
(1 row)
|
||||
|
||||
SELECT vector_cmp('[1,2,3]', '[1,2]');
|
||||
vector_cmp
|
||||
------------
|
||||
1
|
||||
(1 row)
|
||||
|
||||
SELECT vector_cmp('[1,2]', '[2,3,4]');
|
||||
vector_cmp
|
||||
------------
|
||||
-1
|
||||
(1 row)
|
||||
|
||||
SELECT vector_cmp('[2,3]', '[1,2,3]');
|
||||
vector_cmp
|
||||
------------
|
||||
1
|
||||
(1 row)
|
||||
|
||||
SELECT vector_dims('[1,2,3]');
|
||||
vector_dims
|
||||
-------------
|
||||
|
||||
@@ -6,17 +6,6 @@ SELECT '[1,2,3]'::vector * '[4,5,6]';
|
||||
SELECT '[1e37]'::vector * '[1e37]';
|
||||
SELECT '[1e-37]'::vector * '[1e-37]';
|
||||
|
||||
SELECT '[1,2,3]'::vector = '[1,2,3]';
|
||||
SELECT '[1,2,3]'::vector = '[1,2]';
|
||||
|
||||
SELECT vector_cmp('[1,2,3]', '[1,2,3]');
|
||||
SELECT vector_cmp('[1,2,3]', '[0,0,0]');
|
||||
SELECT vector_cmp('[0,0,0]', '[1,2,3]');
|
||||
SELECT vector_cmp('[1,2]', '[1,2,3]');
|
||||
SELECT vector_cmp('[1,2,3]', '[1,2]');
|
||||
SELECT vector_cmp('[1,2]', '[2,3,4]');
|
||||
SELECT vector_cmp('[2,3]', '[1,2,3]');
|
||||
|
||||
SELECT vector_dims('[1,2,3]');
|
||||
|
||||
SELECT round(vector_norm('[1,1]')::numeric, 5);
|
||||
|
||||
@@ -95,10 +95,11 @@ for my $i (0 .. $#operators)
|
||||
|
||||
$node->safe_psql("postgres", "DROP INDEX idx;");
|
||||
|
||||
# Build index in parallel in memory
|
||||
# Build index in parallel
|
||||
my ($ret, $stdout, $stderr) = $node->psql("postgres", qq(
|
||||
SET client_min_messages = DEBUG;
|
||||
SET min_parallel_table_scan_size = 1;
|
||||
SET hnsw.enable_parallel_build = on;
|
||||
CREATE INDEX idx ON tst USING hnsw (v $opclass);
|
||||
));
|
||||
is($ret, 0, $stderr);
|
||||
@@ -108,21 +109,6 @@ for my $i (0 .. $#operators)
|
||||
test_recall($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();
|
||||
|
||||
@@ -1,114 +0,0 @@
|
||||
use strict;
|
||||
use warnings;
|
||||
use PostgresNode;
|
||||
use TestLib;
|
||||
use Test::More;
|
||||
|
||||
my $dim = 3;
|
||||
my $nc = 50;
|
||||
my $limit = 20;
|
||||
|
||||
my $array_sql = join(",", ('random()') x $dim);
|
||||
|
||||
# Initialize node
|
||||
my $node = get_new_node('node');
|
||||
$node->init;
|
||||
$node->start;
|
||||
|
||||
# Create table and index
|
||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector($dim), c int4, t text);");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[$array_sql], i % $nc, 'test ' || i FROM generate_series(1, 10000) i;"
|
||||
);
|
||||
$node->safe_psql("postgres", "CREATE INDEX idx ON tst USING hnsw (v vector_l2_ops);");
|
||||
$node->safe_psql("postgres", "ANALYZE tst;");
|
||||
|
||||
# Generate query
|
||||
my @r = ();
|
||||
for (1 .. $dim)
|
||||
{
|
||||
push(@r, rand());
|
||||
}
|
||||
my $query = "[" . join(",", @r) . "]";
|
||||
my $c = int(rand() * $nc);
|
||||
|
||||
# Test attribute filtering
|
||||
my $explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = $c ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
# TODO Do not use index
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test attribute filtering with few rows removed
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c != $c ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test attribute filtering with few rows removed comparison
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c >= 1 ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test attribute filtering with many rows removed comparison
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c < 1 ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
# TODO Do not use index
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test attribute filtering with few rows removed like
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE t LIKE '%%test%%' ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test attribute filtering with many rows removed like
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE t LIKE '%%other%%' ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
|
||||
# Test distance filtering
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE v <-> '$query' < 1 ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test distance filtering greater than distance
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE v <-> '$query' > 1 ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
# TODO Do not use index
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test distance filtering without order
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE v <-> '$query' < 1;
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
|
||||
# Test distance filtering without limit
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE v <-> '$query' < 1 ORDER BY v <-> '$query';
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
|
||||
# Test attribute index
|
||||
$node->safe_psql("postgres", "CREATE INDEX attribute_idx ON tst (c);");
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = $c ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
# TODO Use attribute index
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test partial index
|
||||
$node->safe_psql("postgres", "CREATE INDEX partial_idx ON tst USING hnsw (v vector_l2_ops) WHERE (c = $c);");
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = $c ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using partial_idx/);
|
||||
|
||||
done_testing();
|
||||
43
test/t/018_ivfflat_deletes.pl
Normal file
43
test/t/018_ivfflat_deletes.pl
Normal file
@@ -0,0 +1,43 @@
|
||||
use strict;
|
||||
use warnings;
|
||||
use PostgresNode;
|
||||
use TestLib;
|
||||
use Test::More;
|
||||
|
||||
my $dim = 3;
|
||||
|
||||
my $array_sql = join(",", ('random()') x $dim);
|
||||
|
||||
# Initialize node
|
||||
my $node = get_new_node('node');
|
||||
$node->init;
|
||||
$node->start;
|
||||
|
||||
# Create table and index
|
||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (i serial, v vector($dim));");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst (v) SELECT ARRAY[$array_sql] FROM generate_series(1, 10000) i;"
|
||||
);
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v vector_l2_ops);");
|
||||
|
||||
# Delete data
|
||||
$node->safe_psql("postgres", "DELETE FROM tst WHERE i % 100 != 0;");
|
||||
|
||||
my $exp = $node->safe_psql("postgres", qq(
|
||||
SET enable_indexscan = off;
|
||||
SELECT i FROM tst ORDER BY v <-> '[0,0,0]';
|
||||
));
|
||||
|
||||
# Run twice to make sure correct tuples marked as dead
|
||||
for (1 .. 2)
|
||||
{
|
||||
my $res = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET ivfflat.probes = 100;
|
||||
SELECT i FROM tst ORDER BY v <-> '[0,0,0]';
|
||||
));
|
||||
is($res, $exp);
|
||||
}
|
||||
|
||||
done_testing();
|
||||
@@ -1,116 +0,0 @@
|
||||
use strict;
|
||||
use warnings;
|
||||
use PostgresNode;
|
||||
use TestLib;
|
||||
use Test::More;
|
||||
|
||||
my $dim = 3;
|
||||
my $nc = 50;
|
||||
my $limit = 20;
|
||||
|
||||
my $array_sql = join(",", ('random()') x $dim);
|
||||
|
||||
# Initialize node
|
||||
my $node = get_new_node('node');
|
||||
$node->init;
|
||||
$node->start;
|
||||
|
||||
# Create table and index
|
||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector($dim), c int4, t text);");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[$array_sql], i % $nc, 'test ' || i FROM generate_series(1, 10000) i;"
|
||||
);
|
||||
$node->safe_psql("postgres", "CREATE INDEX idx ON tst USING ivfflat (v vector_l2_ops) WITH (lists = 100);");
|
||||
$node->safe_psql("postgres", "ANALYZE tst;");
|
||||
|
||||
# Generate query
|
||||
my @r = ();
|
||||
for (1 .. $dim)
|
||||
{
|
||||
push(@r, rand());
|
||||
}
|
||||
my $query = "[" . join(",", @r) . "]";
|
||||
my $c = int(rand() * $nc);
|
||||
|
||||
# Test attribute filtering
|
||||
my $explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = $c ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
# TODO Do not use index
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test attribute filtering with few rows removed
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c != $c ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test attribute filtering with few rows removed comparison
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c >= 1 ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test attribute filtering with many rows removed comparison
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c < 1 ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
# TODO Do not use index
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test attribute filtering with few rows removed like
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE t LIKE '%%test%%' ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test attribute filtering with many rows removed like
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE t LIKE '%%other%%' ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
|
||||
# Test distance filtering
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE v <-> '$query' < 1 ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test distance filtering greater than distance
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE v <-> '$query' > 1 ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
# TODO Do not use index
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test distance filtering without order
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE v <-> '$query' < 1;
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
|
||||
# Test distance filtering without limit
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE v <-> '$query' < 1 ORDER BY v <-> '$query';
|
||||
));
|
||||
# TODO Do not use index
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test attribute index
|
||||
$node->safe_psql("postgres", "CREATE INDEX attribute_idx ON tst (c);");
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = $c ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
# TODO Use attribute index
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test partial index
|
||||
$node->safe_psql("postgres", "CREATE INDEX partial_idx ON tst USING ivfflat (v vector_l2_ops) WITH (lists = 5) WHERE (c = $c);");
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = $c ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
# TODO Use partial index
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
done_testing();
|
||||
@@ -1,4 +1,4 @@
|
||||
comment = 'vector data type and ivfflat and hnsw access methods'
|
||||
default_version = '0.6.1'
|
||||
default_version = '0.5.1'
|
||||
module_pathname = '$libdir/vector'
|
||||
relocatable = true
|
||||
|
||||
Reference in New Issue
Block a user