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https://github.com/pgvector/pgvector.git
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2 Commits
v0.6.2
...
hnsw-entry
| Author | SHA1 | Date | |
|---|---|---|---|
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abbc1c3379 | ||
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72c20fc14f |
1
.github/workflows/build.yml
vendored
1
.github/workflows/build.yml
vendored
@@ -73,7 +73,6 @@ jobs:
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postgres-version: 14
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- run: |
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call "C:\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Auxiliary\Build\vcvars64.bat" && ^
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cd %TEMP% && ^
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nmake /NOLOGO /F Makefile.win && ^
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nmake /NOLOGO /F Makefile.win install && ^
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nmake /NOLOGO /F Makefile.win installcheck && ^
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@@ -1,11 +1,11 @@
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## 0.6.2 (2024-03-18)
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## 0.6.2 (unreleased)
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- Reduced lock contention with parallel HNSW index builds
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- Improved performance of parallel HNSW index builds
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## 0.6.1 (2024-03-04)
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- Fixed error with `ANALYZE` and vectors with different dimensions
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- Fixed segmentation fault with `shared_preload_libraries`
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- Fixed error with `shared_preload_libraries`
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- Fixed vector subtraction being marked as commutative
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## 0.6.0 (2024-01-29)
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@@ -2,7 +2,7 @@
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"name": "vector",
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"abstract": "Open-source vector similarity search for Postgres",
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"description": "Supports L2 distance, inner product, and cosine distance",
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"version": "0.6.2",
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"version": "0.6.1",
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"maintainer": [
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"Andrew Kane <andrew@ankane.org>"
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],
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@@ -20,7 +20,7 @@
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"vector": {
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"file": "sql/vector.sql",
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"docfile": "README.md",
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"version": "0.6.2",
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"version": "0.6.1",
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"abstract": "Open-source vector similarity search for Postgres"
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}
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},
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2
Makefile
2
Makefile
@@ -1,5 +1,5 @@
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EXTENSION = vector
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EXTVERSION = 0.6.2
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EXTVERSION = 0.6.1
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MODULE_big = vector
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DATA = $(wildcard sql/*--*.sql)
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@@ -1,5 +1,5 @@
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EXTENSION = vector
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EXTVERSION = 0.6.2
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EXTVERSION = 0.6.1
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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
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HEADERS = src\vector.h
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116
README.md
116
README.md
@@ -20,13 +20,13 @@ Compile and install the extension (supports Postgres 12+)
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```sh
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cd /tmp
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git clone --branch v0.6.2 https://github.com/pgvector/pgvector.git
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git clone --branch v0.6.1 https://github.com/pgvector/pgvector.git
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cd pgvector
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make
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make install # may need sudo
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```
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See the [installation notes](#installation-notes---linux-and-mac) if you run into issues
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See the [installation notes](#installation-notes) if you run into issues
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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).
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@@ -44,15 +44,12 @@ Then use `nmake` to build:
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```cmd
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set "PGROOT=C:\Program Files\PostgreSQL\16"
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cd %TEMP%
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git clone --branch v0.6.2 https://github.com/pgvector/pgvector.git
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git clone --branch v0.6.1 https://github.com/pgvector/pgvector.git
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cd pgvector
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nmake /F Makefile.win
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nmake /F Makefile.win install
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```
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See the [installation notes](#installation-notes---windows) if you run into issues
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You can also install it with [Docker](#docker) or [conda-forge](#conda-forge).
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## Getting Started
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@@ -413,39 +410,13 @@ You can use [Reciprocal Rank Fusion](https://github.com/pgvector/pgvector-python
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## Performance
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### Tuning
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Use a tool like [PgTune](https://pgtune.leopard.in.ua/) to set initial values for Postgres server parameters.
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### Loading
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Use `COPY` for bulk loading data ([example](https://github.com/pgvector/pgvector-python/blob/master/examples/bulk_loading.py)).
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```sql
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COPY items (embedding) FROM STDIN WITH (FORMAT BINARY);
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```
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Add any indexes *after* loading the initial data for best performance.
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### Indexing
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See index build time for [HNSW](#index-build-time) and [IVFFlat](#index-build-time-1).
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In production environments, create indexes concurrently to avoid blocking writes.
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```sql
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CREATE INDEX CONCURRENTLY ...
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```
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### Querying
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Use `EXPLAIN ANALYZE` to debug performance.
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```sql
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EXPLAIN ANALYZE SELECT * FROM items ORDER BY embedding <-> '[3,1,2]' LIMIT 5;
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```
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#### Exact Search
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### Exact Search
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To speed up queries without an index, increase `max_parallel_workers_per_gather`.
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@@ -459,7 +430,7 @@ If vectors are normalized to length 1 (like [OpenAI embeddings](https://platform
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SELECT * FROM items ORDER BY embedding <#> '[3,1,2]' LIMIT 5;
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```
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#### Approximate Search
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### Approximate Search
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To speed up queries with an IVFFlat index, increase the number of inverted lists (at the expense of recall).
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@@ -467,7 +438,7 @@ To speed up queries with an IVFFlat index, increase the number of inverted lists
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CREATE INDEX ON items USING ivfflat (embedding vector_l2_ops) WITH (lists = 1000);
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```
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### Vacuuming
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## Vacuuming
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Vacuuming can take a while for HNSW indexes. Speed it up by reindexing first.
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@@ -476,41 +447,6 @@ REINDEX INDEX CONCURRENTLY index_name;
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VACUUM table_name;
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```
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## Monitoring
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Monitor performance with [pg_stat_statements](https://www.postgresql.org/docs/current/pgstatstatements.html) (be sure to add it to `shared_preload_libraries`).
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```sql
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CREATE EXTENSION pg_stat_statements;
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```
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Get the most time-consuming queries with:
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```sql
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SELECT query, calls, ROUND((total_plan_time + total_exec_time) / calls) AS avg_time_ms,
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ROUND((total_plan_time + total_exec_time) / 60000) AS total_time_min
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FROM pg_stat_statements ORDER BY total_plan_time + total_exec_time DESC LIMIT 20;
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```
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Note: Replace `total_plan_time + total_exec_time` with `total_time` for Postgres < 13
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Monitor recall by comparing results from approximate search with exact search.
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```sql
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BEGIN;
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SET LOCAL enable_indexscan = off; -- use exact search
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SELECT ...
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COMMIT;
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```
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## Scaling
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Scale pgvector the same way you scale Postgres.
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Scale vertically by increasing memory, CPU, and storage on a single instance. Use existing tools to [tune parameters](#tuning) and [monitor performance](#monitoring).
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Scale horizontally with [replicas](https://www.postgresql.org/docs/current/hot-standby.html), or use [Citus](https://github.com/citusdata/citus) or another approach for sharding ([example](https://github.com/pgvector/pgvector-python/blob/master/examples/citus.py)).
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## Languages
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Use pgvector from any language with a Postgres client. You can even generate and store vectors in one language and query them in another.
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@@ -616,17 +552,7 @@ SELECT pg_size_pretty(pg_relation_size('index_name'));
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#### Why isn’t a query using an index?
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The query needs to have an `ORDER BY` and `LIMIT`, and the `ORDER BY` must be the result of a distance operator, not an expression.
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```sql
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-- index
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ORDER BY embedding <=> '[3,1,2]' LIMIT 5;
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-- no index
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ORDER BY 1 - (embedding <=> '[3,1,2]') DESC LIMIT 5;
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```
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You can encourage the planner to use an index for a query with:
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The cost estimation in pgvector < 0.4.3 does not always work well with the planner. You can encourage the planner to use an index for a query with:
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```sql
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BEGIN;
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@@ -704,7 +630,7 @@ Function | Description | Added
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avg(vector) → vector | average |
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sum(vector) → vector | sum | 0.5.0
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## Installation Notes - Linux and Mac
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## Installation Notes
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### Postgres Location
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@@ -746,24 +672,12 @@ If compilation fails and the output includes `warning: no such sysroot directory
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### Portability
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By default, pgvector compiles with `-march=native` on some platforms for best performance. However, this can lead to `Illegal instruction` errors if trying to run the compiled extension on a different machine.
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To compile for portability, use:
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```sh
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make OPTFLAGS=""
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```
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## Installation Notes - Windows
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### Missing Header
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If compilation fails with `Cannot open include file: 'postgres.h': No such file or directory`, make sure `PGROOT` is correct.
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### Permissions
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If installation fails with `Access is denied`, re-run the installation instructions as an administrator.
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## Additional Installation Methods
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### Docker
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@@ -779,7 +693,7 @@ This adds pgvector to the [Postgres image](https://hub.docker.com/_/postgres) (r
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You can also build the image manually:
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```sh
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git clone --branch v0.6.2 https://github.com/pgvector/pgvector.git
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git clone --branch v0.6.1 https://github.com/pgvector/pgvector.git
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cd pgvector
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docker build --build-arg PG_MAJOR=16 -t myuser/pgvector .
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```
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@@ -948,12 +862,6 @@ make installcheck REGRESS=functions # regression test
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make prove_installcheck PROVE_TESTS=test/t/001_ivfflat_wal.pl # TAP test
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```
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To enable assertions:
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```sh
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make clean && PG_CFLAGS="-DUSE_ASSERT_CHECKING" make && make install
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```
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To enable benchmarking:
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```sh
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@@ -966,6 +874,12 @@ To show memory usage:
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make clean && PG_CFLAGS="-DHNSW_MEMORY -DIVFFLAT_MEMORY" make && make install
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```
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To enable assertions:
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```sh
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make clean && PG_CFLAGS="-DUSE_ASSERT_CHECKING" make && make install
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```
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To get k-means metrics:
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```sh
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@@ -1,2 +0,0 @@
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-- complain if script is sourced in psql, rather than via CREATE EXTENSION
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\echo Use "ALTER EXTENSION vector UPDATE TO '0.6.2'" to load this file. \quit
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@@ -129,7 +129,7 @@ HnswPtrDeclare(HnswNeighborArray, HnswNeighborArrayRelptr, HnswNeighborArrayPtr)
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HnswPtrDeclare(HnswNeighborArrayPtr, HnswNeighborsRelptr, HnswNeighborsPtr);
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HnswPtrDeclare(char, DatumRelptr, DatumPtr);
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struct HnswElementData
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typedef struct HnswElementData
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{
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HnswElementPtr next;
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ItemPointerData heaptids[HNSW_HEAPTIDS];
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@@ -144,7 +144,7 @@ struct HnswElementData
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BlockNumber neighborPage;
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DatumPtr value;
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LWLock lock;
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};
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} HnswElementData;
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typedef HnswElementData * HnswElement;
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@@ -155,12 +155,12 @@ typedef struct HnswCandidate
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bool closer;
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} HnswCandidate;
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struct HnswNeighborArray
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typedef struct HnswNeighborArray
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{
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int length;
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bool closerSet;
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HnswCandidate items[FLEXIBLE_ARRAY_MEMBER];
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};
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} HnswNeighborArray;
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typedef struct HnswPairingHeapNode
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{
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@@ -185,7 +185,6 @@ typedef struct HnswGraph
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/* Entry state */
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LWLock entryLock;
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LWLock entryWaitLock;
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HnswElementPtr entryPoint;
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/* Allocations state */
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@@ -400,7 +400,7 @@ UpdateNeighborsInMemory(char *base, FmgrInfo *procinfo, Oid collation, HnswEleme
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* Update graph in memory
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*/
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static void
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UpdateGraphInMemory(FmgrInfo *procinfo, Oid collation, HnswElement element, int m, int efConstruction, HnswElement entryPoint, HnswBuildState * buildstate)
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UpdateGraphInMemory(FmgrInfo *procinfo, Oid collation, HnswElement element, int m, int efConstruction, bool updateEntryPoint, HnswBuildState * buildstate)
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{
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HnswGraph *graph = buildstate->graph;
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char *base = buildstate->hnswarea;
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@@ -416,7 +416,7 @@ UpdateGraphInMemory(FmgrInfo *procinfo, Oid collation, HnswElement element, int
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UpdateNeighborsInMemory(base, procinfo, collation, element, m);
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/* Update entry point if needed (already have lock) */
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if (entryPoint == NULL || element->level > entryPoint->level)
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if (updateEntryPoint)
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HnswPtrStore(base, graph->entryPoint, element);
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}
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@@ -431,42 +431,32 @@ InsertTupleInMemory(HnswBuildState * buildstate, HnswElement element)
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HnswGraph *graph = buildstate->graph;
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HnswElement entryPoint;
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LWLock *entryLock = &graph->entryLock;
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LWLock *entryWaitLock = &graph->entryWaitLock;
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int efConstruction = buildstate->efConstruction;
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int m = buildstate->m;
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char *base = buildstate->hnswarea;
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|
||||
/* Wait if another process needs exclusive lock on entry lock */
|
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LWLockAcquire(entryWaitLock, LW_EXCLUSIVE);
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LWLockRelease(entryWaitLock);
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bool updateEntryPoint;
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/* Get entry point */
|
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LWLockAcquire(entryLock, LW_SHARED);
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LWLockAcquire(entryLock, LW_EXCLUSIVE);
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entryPoint = HnswPtrAccess(base, graph->entryPoint);
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|
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/* Prevent concurrent inserts when likely updating entry point */
|
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if (entryPoint == NULL || element->level > entryPoint->level)
|
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{
|
||||
/* Release shared lock */
|
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/* Pause new inserts when updating entry point */
|
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/* May still be in-flight inserts */
|
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updateEntryPoint = entryPoint == NULL || element->level > entryPoint->level;
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|
||||
/* Release entry lock */
|
||||
if (!updateEntryPoint)
|
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LWLockRelease(entryLock);
|
||||
|
||||
/* Tell other processes to wait and get exclusive lock */
|
||||
LWLockAcquire(entryWaitLock, LW_EXCLUSIVE);
|
||||
LWLockAcquire(entryLock, LW_EXCLUSIVE);
|
||||
LWLockRelease(entryWaitLock);
|
||||
|
||||
/* Get latest entry point after lock is acquired */
|
||||
entryPoint = HnswPtrAccess(base, graph->entryPoint);
|
||||
}
|
||||
|
||||
/* Find neighbors for element */
|
||||
HnswFindElementNeighbors(base, element, entryPoint, NULL, procinfo, collation, m, efConstruction, false);
|
||||
|
||||
/* Update graph in memory */
|
||||
UpdateGraphInMemory(procinfo, collation, element, m, efConstruction, entryPoint, buildstate);
|
||||
UpdateGraphInMemory(procinfo, collation, element, m, efConstruction, updateEntryPoint, buildstate);
|
||||
|
||||
/* Release entry lock */
|
||||
LWLockRelease(entryLock);
|
||||
if (updateEntryPoint)
|
||||
LWLockRelease(entryLock);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -619,7 +609,6 @@ InitGraph(HnswGraph * graph, char *base, long memoryTotal)
|
||||
graph->indtuples = 0;
|
||||
SpinLockInit(&graph->lock);
|
||||
LWLockInitialize(&graph->entryLock, hnsw_lock_tranche_id);
|
||||
LWLockInitialize(&graph->entryWaitLock, hnsw_lock_tranche_id);
|
||||
LWLockInitialize(&graph->allocatorLock, hnsw_lock_tranche_id);
|
||||
LWLockInitialize(&graph->flushLock, hnsw_lock_tranche_id);
|
||||
}
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
comment = 'vector data type and ivfflat and hnsw access methods'
|
||||
default_version = '0.6.2'
|
||||
default_version = '0.6.1'
|
||||
module_pathname = '$libdir/vector'
|
||||
relocatable = true
|
||||
|
||||
Reference in New Issue
Block a user