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5
.github/workflows/build.yml
vendored
5
.github/workflows/build.yml
vendored
@@ -60,7 +60,9 @@ jobs:
|
|||||||
wget -q https://github.com/postgres/postgres/archive/refs/tags/REL_14_10.tar.gz
|
wget -q https://github.com/postgres/postgres/archive/refs/tags/REL_14_10.tar.gz
|
||||||
tar xf 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"
|
- run: make prove_installcheck PROVE_FLAGS="-I ./postgres-REL_14_10/src/test/perl" PERL5LIB="/Users/runner/perl5/lib/perl5"
|
||||||
- run: make clean && /usr/local/opt/llvm@15/bin/scan-build --status-bugs make PG_CFLAGS="-DUSE_ASSERT_CHECKING"
|
- run: make clean && /usr/local/opt/llvm@15/bin/scan-build --status-bugs make
|
||||||
|
env:
|
||||||
|
PG_CFLAGS: -DUSE_ASSERT_CHECKING
|
||||||
windows:
|
windows:
|
||||||
runs-on: windows-latest
|
runs-on: windows-latest
|
||||||
if: ${{ !startsWith(github.ref_name, 'mac') }}
|
if: ${{ !startsWith(github.ref_name, 'mac') }}
|
||||||
@@ -71,6 +73,7 @@ jobs:
|
|||||||
postgres-version: 14
|
postgres-version: 14
|
||||||
- run: |
|
- run: |
|
||||||
call "C:\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Auxiliary\Build\vcvars64.bat" && ^
|
call "C:\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Auxiliary\Build\vcvars64.bat" && ^
|
||||||
|
cd %TEMP% && ^
|
||||||
nmake /NOLOGO /F Makefile.win && ^
|
nmake /NOLOGO /F Makefile.win && ^
|
||||||
nmake /NOLOGO /F Makefile.win install && ^
|
nmake /NOLOGO /F Makefile.win install && ^
|
||||||
nmake /NOLOGO /F Makefile.win installcheck && ^
|
nmake /NOLOGO /F Makefile.win installcheck && ^
|
||||||
|
|||||||
11
CHANGELOG.md
11
CHANGELOG.md
@@ -1,7 +1,16 @@
|
|||||||
## 0.6.1 (unreleased)
|
## 0.7.0 (unreleased)
|
||||||
|
|
||||||
|
- Added concatenate operator for vectors
|
||||||
|
|
||||||
|
## 0.6.2 (unreleased)
|
||||||
|
|
||||||
|
- Reduced lock contention with parallel HNSW index builds
|
||||||
|
|
||||||
|
## 0.6.1 (2024-03-04)
|
||||||
|
|
||||||
- Fixed error with `ANALYZE` and vectors with different dimensions
|
- Fixed error with `ANALYZE` and vectors with different dimensions
|
||||||
- Fixed error with `shared_preload_libraries`
|
- Fixed error with `shared_preload_libraries`
|
||||||
|
- Fixed vector subtraction being marked as commutative
|
||||||
|
|
||||||
## 0.6.0 (2024-01-29)
|
## 0.6.0 (2024-01-29)
|
||||||
|
|
||||||
|
|||||||
2
LICENSE
2
LICENSE
@@ -1,4 +1,4 @@
|
|||||||
Portions Copyright (c) 1996-2023, PostgreSQL Global Development Group
|
Portions Copyright (c) 1996-2024, PostgreSQL Global Development Group
|
||||||
|
|
||||||
Portions Copyright (c) 1994, The Regents of the University of California
|
Portions Copyright (c) 1994, The Regents of the University of California
|
||||||
|
|
||||||
|
|||||||
@@ -2,7 +2,7 @@
|
|||||||
"name": "vector",
|
"name": "vector",
|
||||||
"abstract": "Open-source vector similarity search for Postgres",
|
"abstract": "Open-source vector similarity search for Postgres",
|
||||||
"description": "Supports L2 distance, inner product, and cosine distance",
|
"description": "Supports L2 distance, inner product, and cosine distance",
|
||||||
"version": "0.6.0",
|
"version": "0.6.1",
|
||||||
"maintainer": [
|
"maintainer": [
|
||||||
"Andrew Kane <andrew@ankane.org>"
|
"Andrew Kane <andrew@ankane.org>"
|
||||||
],
|
],
|
||||||
@@ -20,7 +20,7 @@
|
|||||||
"vector": {
|
"vector": {
|
||||||
"file": "sql/vector.sql",
|
"file": "sql/vector.sql",
|
||||||
"docfile": "README.md",
|
"docfile": "README.md",
|
||||||
"version": "0.6.0",
|
"version": "0.6.1",
|
||||||
"abstract": "Open-source vector similarity search for Postgres"
|
"abstract": "Open-source vector similarity search for Postgres"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
|
|||||||
2
Makefile
2
Makefile
@@ -1,5 +1,5 @@
|
|||||||
EXTENSION = vector
|
EXTENSION = vector
|
||||||
EXTVERSION = 0.6.0
|
EXTVERSION = 0.6.1
|
||||||
|
|
||||||
MODULE_big = vector
|
MODULE_big = vector
|
||||||
DATA = $(wildcard sql/*--*.sql)
|
DATA = $(wildcard sql/*--*.sql)
|
||||||
|
|||||||
@@ -1,5 +1,5 @@
|
|||||||
EXTENSION = vector
|
EXTENSION = vector
|
||||||
EXTVERSION = 0.6.0
|
EXTVERSION = 0.6.1
|
||||||
|
|
||||||
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
|
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
|
HEADERS = src\vector.h
|
||||||
|
|||||||
139
README.md
139
README.md
@@ -20,13 +20,13 @@ Compile and install the extension (supports Postgres 12+)
|
|||||||
|
|
||||||
```sh
|
```sh
|
||||||
cd /tmp
|
cd /tmp
|
||||||
git clone --branch v0.6.0 https://github.com/pgvector/pgvector.git
|
git clone --branch v0.6.1 https://github.com/pgvector/pgvector.git
|
||||||
cd pgvector
|
cd pgvector
|
||||||
make
|
make
|
||||||
make install # may need sudo
|
make install # may need sudo
|
||||||
```
|
```
|
||||||
|
|
||||||
See the [installation notes](#installation-notes) if you run into issues
|
See the [installation notes](#installation-notes---linux-and-mac) if you run into issues
|
||||||
|
|
||||||
You can also install it with [Docker](#docker), [Homebrew](#homebrew), [PGXN](#pgxn), [APT](#apt), [Yum](#yum), [pkg](#pkg), or [conda-forge](#conda-forge), and it comes preinstalled with [Postgres.app](#postgresapp) and many [hosted providers](#hosted-postgres). There are also instructions for [GitHub Actions](https://github.com/pgvector/setup-pgvector).
|
You can also install it with [Docker](#docker), [Homebrew](#homebrew), [PGXN](#pgxn), [APT](#apt), [Yum](#yum), [pkg](#pkg), 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).
|
||||||
|
|
||||||
@@ -44,12 +44,15 @@ Then use `nmake` to build:
|
|||||||
|
|
||||||
```cmd
|
```cmd
|
||||||
set "PGROOT=C:\Program Files\PostgreSQL\16"
|
set "PGROOT=C:\Program Files\PostgreSQL\16"
|
||||||
git clone --branch v0.6.0 https://github.com/pgvector/pgvector.git
|
cd %TEMP%
|
||||||
|
git clone --branch v0.6.1 https://github.com/pgvector/pgvector.git
|
||||||
cd pgvector
|
cd pgvector
|
||||||
nmake /F Makefile.win
|
nmake /F Makefile.win
|
||||||
nmake /F Makefile.win install
|
nmake /F Makefile.win install
|
||||||
```
|
```
|
||||||
|
|
||||||
|
See the [installation notes](#installation-notes---windows) if you run into issues
|
||||||
|
|
||||||
You can also install it with [Docker](#docker) or [conda-forge](#conda-forge).
|
You can also install it with [Docker](#docker) or [conda-forge](#conda-forge).
|
||||||
|
|
||||||
## Getting Started
|
## Getting Started
|
||||||
@@ -102,6 +105,12 @@ Insert vectors
|
|||||||
INSERT INTO items (embedding) VALUES ('[1,2,3]'), ('[4,5,6]');
|
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
|
Upsert vectors
|
||||||
|
|
||||||
```sql
|
```sql
|
||||||
@@ -264,6 +273,8 @@ 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
|
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)
|
Starting with 0.6.0, you can also speed up index creation by increasing the number of parallel workers (2 by default)
|
||||||
|
|
||||||
```sql
|
```sql
|
||||||
@@ -402,13 +413,39 @@ You can use [Reciprocal Rank Fusion](https://github.com/pgvector/pgvector-python
|
|||||||
|
|
||||||
## Performance
|
## Performance
|
||||||
|
|
||||||
|
### Tuning
|
||||||
|
|
||||||
|
Use a tool like [PgTune](https://pgtune.leopard.in.ua/) to set initial values for Postgres server parameters.
|
||||||
|
|
||||||
|
### Loading
|
||||||
|
|
||||||
|
Use `COPY` for bulk loading data ([example](https://github.com/pgvector/pgvector-python/blob/master/examples/bulk_loading.py)).
|
||||||
|
|
||||||
|
```sql
|
||||||
|
COPY items (embedding) FROM STDIN WITH (FORMAT BINARY);
|
||||||
|
```
|
||||||
|
|
||||||
|
Add any indexes *after* loading the initial data for best performance.
|
||||||
|
|
||||||
|
### Indexing
|
||||||
|
|
||||||
|
See index build time for [HNSW](#index-build-time) and [IVFFlat](#index-build-time-1).
|
||||||
|
|
||||||
|
In production environments, create indexes concurrently to avoid blocking writes.
|
||||||
|
|
||||||
|
```sql
|
||||||
|
CREATE INDEX CONCURRENTLY ...
|
||||||
|
```
|
||||||
|
|
||||||
|
### Querying
|
||||||
|
|
||||||
Use `EXPLAIN ANALYZE` to debug performance.
|
Use `EXPLAIN ANALYZE` to debug performance.
|
||||||
|
|
||||||
```sql
|
```sql
|
||||||
EXPLAIN ANALYZE SELECT * FROM items ORDER BY embedding <-> '[3,1,2]' LIMIT 5;
|
EXPLAIN ANALYZE SELECT * FROM items ORDER BY embedding <-> '[3,1,2]' LIMIT 5;
|
||||||
```
|
```
|
||||||
|
|
||||||
### Exact Search
|
#### Exact Search
|
||||||
|
|
||||||
To speed up queries without an index, increase `max_parallel_workers_per_gather`.
|
To speed up queries without an index, increase `max_parallel_workers_per_gather`.
|
||||||
|
|
||||||
@@ -422,7 +459,7 @@ If vectors are normalized to length 1 (like [OpenAI embeddings](https://platform
|
|||||||
SELECT * FROM items ORDER BY embedding <#> '[3,1,2]' LIMIT 5;
|
SELECT * FROM items ORDER BY embedding <#> '[3,1,2]' LIMIT 5;
|
||||||
```
|
```
|
||||||
|
|
||||||
### Approximate Search
|
#### Approximate Search
|
||||||
|
|
||||||
To speed up queries with an IVFFlat index, increase the number of inverted lists (at the expense of recall).
|
To speed up queries with an IVFFlat index, increase the number of inverted lists (at the expense of recall).
|
||||||
|
|
||||||
@@ -430,7 +467,7 @@ 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);
|
CREATE INDEX ON items USING ivfflat (embedding vector_l2_ops) WITH (lists = 1000);
|
||||||
```
|
```
|
||||||
|
|
||||||
## Vacuuming
|
### Vacuuming
|
||||||
|
|
||||||
Vacuuming can take a while for HNSW indexes. Speed it up by reindexing first.
|
Vacuuming can take a while for HNSW indexes. Speed it up by reindexing first.
|
||||||
|
|
||||||
@@ -439,6 +476,41 @@ REINDEX INDEX CONCURRENTLY index_name;
|
|||||||
VACUUM table_name;
|
VACUUM table_name;
|
||||||
```
|
```
|
||||||
|
|
||||||
|
## Monitoring
|
||||||
|
|
||||||
|
Monitor performance with [pg_stat_statements](https://www.postgresql.org/docs/current/pgstatstatements.html) (be sure to add it to `shared_preload_libraries`).
|
||||||
|
|
||||||
|
```sql
|
||||||
|
CREATE EXTENSION pg_stat_statements;
|
||||||
|
```
|
||||||
|
|
||||||
|
Get the most time-consuming queries with:
|
||||||
|
|
||||||
|
```sql
|
||||||
|
SELECT query, calls, ROUND((total_plan_time + total_exec_time) / calls) AS avg_time_ms,
|
||||||
|
ROUND((total_plan_time + total_exec_time) / 60000) AS total_time_min
|
||||||
|
FROM pg_stat_statements ORDER BY total_plan_time + total_exec_time DESC LIMIT 20;
|
||||||
|
```
|
||||||
|
|
||||||
|
Note: Replace `total_plan_time + total_exec_time` with `total_time` for Postgres < 13
|
||||||
|
|
||||||
|
Monitor recall by comparing results from approximate search with exact search.
|
||||||
|
|
||||||
|
```sql
|
||||||
|
BEGIN;
|
||||||
|
SET LOCAL enable_indexscan = off; -- use exact search
|
||||||
|
SELECT ...
|
||||||
|
COMMIT;
|
||||||
|
```
|
||||||
|
|
||||||
|
## Scaling
|
||||||
|
|
||||||
|
Scale pgvector the same way you scale Postgres.
|
||||||
|
|
||||||
|
Scale vertically by increasing memory, CPU, and storage on a single instance. Use existing tools to [tune parameters](#tuning) and [monitor performance](#monitoring).
|
||||||
|
|
||||||
|
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)).
|
||||||
|
|
||||||
## Languages
|
## 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.
|
Use pgvector from any language with a Postgres client. You can even generate and store vectors in one language and query them in another.
|
||||||
@@ -544,7 +616,17 @@ SELECT pg_size_pretty(pg_relation_size('index_name'));
|
|||||||
|
|
||||||
#### Why isn’t a query using an index?
|
#### Why isn’t a query using an index?
|
||||||
|
|
||||||
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:
|
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.
|
||||||
|
|
||||||
|
```sql
|
||||||
|
-- index
|
||||||
|
ORDER BY embedding <=> '[3,1,2]' LIMIT 5;
|
||||||
|
|
||||||
|
-- no index
|
||||||
|
ORDER BY 1 - (embedding <=> '[3,1,2]') DESC LIMIT 5;
|
||||||
|
```
|
||||||
|
|
||||||
|
You can encourage the planner to use an index for a query with:
|
||||||
|
|
||||||
```sql
|
```sql
|
||||||
BEGIN;
|
BEGIN;
|
||||||
@@ -573,6 +655,10 @@ or choose to store vectors inline:
|
|||||||
ALTER TABLE items ALTER COLUMN embedding SET STORAGE PLAIN;
|
ALTER TABLE items ALTER COLUMN embedding SET STORAGE PLAIN;
|
||||||
```
|
```
|
||||||
|
|
||||||
|
#### Why are there less results for a query after adding an HNSW index?
|
||||||
|
|
||||||
|
Results are limited by the size of the dynamic candidate list (`hnsw.ef_search`). There may be even less results due to dead tuples or filtering conditions in the query. We recommend setting `hnsw.ef_search` to at least twice the `LIMIT` of the query. If you need more than 500 results, use an IVFFlat index instead.
|
||||||
|
|
||||||
#### Why are there less results for a query after adding an IVFFlat index?
|
#### Why are there less results for a query after adding an IVFFlat index?
|
||||||
|
|
||||||
The index was likely created with too little data for the number of lists. Drop the index until the table has more data.
|
The index was likely created with too little data for the number of lists. Drop the index until the table has more data.
|
||||||
@@ -581,6 +667,8 @@ The index was likely created with too little data for the number of lists. Drop
|
|||||||
DROP INDEX index_name;
|
DROP INDEX index_name;
|
||||||
```
|
```
|
||||||
|
|
||||||
|
Results can also be limited by the number of probes (`ivfflat.probes`).
|
||||||
|
|
||||||
## Reference
|
## Reference
|
||||||
|
|
||||||
### Vector Type
|
### Vector Type
|
||||||
@@ -594,6 +682,7 @@ Operator | Description | Added
|
|||||||
\+ | element-wise addition |
|
\+ | element-wise addition |
|
||||||
\- | element-wise subtraction |
|
\- | element-wise subtraction |
|
||||||
\* | element-wise multiplication | 0.5.0
|
\* | element-wise multiplication | 0.5.0
|
||||||
|
\|\| | concatenate | 0.7.0
|
||||||
<-> | Euclidean distance |
|
<-> | Euclidean distance |
|
||||||
<#> | negative inner product |
|
<#> | negative inner product |
|
||||||
<=> | cosine distance |
|
<=> | cosine distance |
|
||||||
@@ -616,7 +705,7 @@ Function | Description | Added
|
|||||||
avg(vector) → vector | average |
|
avg(vector) → vector | average |
|
||||||
sum(vector) → vector | sum | 0.5.0
|
sum(vector) → vector | sum | 0.5.0
|
||||||
|
|
||||||
## Installation Notes
|
## Installation Notes - Linux and Mac
|
||||||
|
|
||||||
### Postgres Location
|
### Postgres Location
|
||||||
|
|
||||||
@@ -656,6 +745,26 @@ Note: Replace `16` with your Postgres server version
|
|||||||
|
|
||||||
If compilation fails and the output includes `warning: no such sysroot directory` on Mac, reinstall Xcode Command Line Tools.
|
If compilation fails and the output includes `warning: no such sysroot directory` on Mac, reinstall Xcode Command Line Tools.
|
||||||
|
|
||||||
|
### Portability
|
||||||
|
|
||||||
|
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.
|
||||||
|
|
||||||
|
To compile for portability, use:
|
||||||
|
|
||||||
|
```sh
|
||||||
|
make OPTFLAGS=""
|
||||||
|
```
|
||||||
|
|
||||||
|
## Installation Notes - Windows
|
||||||
|
|
||||||
|
### Missing Header
|
||||||
|
|
||||||
|
If compilation fails with `Cannot open include file: 'postgres.h': No such file or directory`, make sure `PGROOT` is correct.
|
||||||
|
|
||||||
|
### Permissions
|
||||||
|
|
||||||
|
If installation fails with `Access is denied`, re-run the installation instructions as an administrator.
|
||||||
|
|
||||||
## Additional Installation Methods
|
## Additional Installation Methods
|
||||||
|
|
||||||
### Docker
|
### Docker
|
||||||
@@ -671,7 +780,7 @@ This adds pgvector to the [Postgres image](https://hub.docker.com/_/postgres) (r
|
|||||||
You can also build the image manually:
|
You can also build the image manually:
|
||||||
|
|
||||||
```sh
|
```sh
|
||||||
git clone --branch v0.6.0 https://github.com/pgvector/pgvector.git
|
git clone --branch v0.6.1 https://github.com/pgvector/pgvector.git
|
||||||
cd pgvector
|
cd pgvector
|
||||||
docker build --build-arg PG_MAJOR=16 -t myuser/pgvector .
|
docker build --build-arg PG_MAJOR=16 -t myuser/pgvector .
|
||||||
```
|
```
|
||||||
@@ -840,6 +949,12 @@ make installcheck REGRESS=functions # regression test
|
|||||||
make prove_installcheck PROVE_TESTS=test/t/001_ivfflat_wal.pl # TAP test
|
make prove_installcheck PROVE_TESTS=test/t/001_ivfflat_wal.pl # TAP test
|
||||||
```
|
```
|
||||||
|
|
||||||
|
To enable assertions:
|
||||||
|
|
||||||
|
```sh
|
||||||
|
make clean && PG_CFLAGS="-DUSE_ASSERT_CHECKING" make && make install
|
||||||
|
```
|
||||||
|
|
||||||
To enable benchmarking:
|
To enable benchmarking:
|
||||||
|
|
||||||
```sh
|
```sh
|
||||||
@@ -852,12 +967,6 @@ To show memory usage:
|
|||||||
make clean && PG_CFLAGS="-DHNSW_MEMORY -DIVFFLAT_MEMORY" make && make install
|
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:
|
To get k-means metrics:
|
||||||
|
|
||||||
```sh
|
```sh
|
||||||
|
|||||||
16
sql/vector--0.6.0--0.6.1.sql
Normal file
16
sql/vector--0.6.0--0.6.1.sql
Normal file
@@ -0,0 +1,16 @@
|
|||||||
|
-- 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
|
||||||
|
);
|
||||||
9
sql/vector--0.6.2--0.7.0.sql
Normal file
9
sql/vector--0.6.2--0.7.0.sql
Normal file
@@ -0,0 +1,9 @@
|
|||||||
|
-- complain if script is sourced in psql, rather than via CREATE EXTENSION
|
||||||
|
\echo Use "ALTER EXTENSION vector UPDATE TO '0.7.0'" to load this file. \quit
|
||||||
|
|
||||||
|
CREATE FUNCTION vector_concat(vector, vector) RETURNS vector
|
||||||
|
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||||
|
|
||||||
|
CREATE OPERATOR || (
|
||||||
|
LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_concat
|
||||||
|
);
|
||||||
@@ -99,6 +99,9 @@ CREATE FUNCTION vector_avg(double precision[]) RETURNS vector
|
|||||||
CREATE FUNCTION vector_combine(double precision[], double precision[]) RETURNS double precision[]
|
CREATE FUNCTION vector_combine(double precision[], double precision[]) RETURNS double precision[]
|
||||||
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||||
|
|
||||||
|
CREATE FUNCTION vector_concat(vector, vector) RETURNS vector
|
||||||
|
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||||
|
|
||||||
-- aggregates
|
-- aggregates
|
||||||
|
|
||||||
CREATE AGGREGATE avg(vector) (
|
CREATE AGGREGATE avg(vector) (
|
||||||
@@ -180,8 +183,7 @@ CREATE OPERATOR + (
|
|||||||
);
|
);
|
||||||
|
|
||||||
CREATE OPERATOR - (
|
CREATE OPERATOR - (
|
||||||
LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_sub,
|
LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_sub
|
||||||
COMMUTATOR = -
|
|
||||||
);
|
);
|
||||||
|
|
||||||
CREATE OPERATOR * (
|
CREATE OPERATOR * (
|
||||||
@@ -195,11 +197,10 @@ CREATE OPERATOR < (
|
|||||||
RESTRICT = scalarltsel, JOIN = scalarltjoinsel
|
RESTRICT = scalarltsel, JOIN = scalarltjoinsel
|
||||||
);
|
);
|
||||||
|
|
||||||
-- should use scalarlesel and scalarlejoinsel, but not supported in Postgres < 11
|
|
||||||
CREATE OPERATOR <= (
|
CREATE OPERATOR <= (
|
||||||
LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_le,
|
LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_le,
|
||||||
COMMUTATOR = >= , NEGATOR = > ,
|
COMMUTATOR = >= , NEGATOR = > ,
|
||||||
RESTRICT = scalarltsel, JOIN = scalarltjoinsel
|
RESTRICT = scalarlesel, JOIN = scalarlejoinsel
|
||||||
);
|
);
|
||||||
|
|
||||||
CREATE OPERATOR = (
|
CREATE OPERATOR = (
|
||||||
@@ -214,11 +215,10 @@ CREATE OPERATOR <> (
|
|||||||
RESTRICT = eqsel, JOIN = eqjoinsel
|
RESTRICT = eqsel, JOIN = eqjoinsel
|
||||||
);
|
);
|
||||||
|
|
||||||
-- should use scalargesel and scalargejoinsel, but not supported in Postgres < 11
|
|
||||||
CREATE OPERATOR >= (
|
CREATE OPERATOR >= (
|
||||||
LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_ge,
|
LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_ge,
|
||||||
COMMUTATOR = <= , NEGATOR = < ,
|
COMMUTATOR = <= , NEGATOR = < ,
|
||||||
RESTRICT = scalargtsel, JOIN = scalargtjoinsel
|
RESTRICT = scalargesel, JOIN = scalargejoinsel
|
||||||
);
|
);
|
||||||
|
|
||||||
CREATE OPERATOR > (
|
CREATE OPERATOR > (
|
||||||
@@ -227,6 +227,10 @@ CREATE OPERATOR > (
|
|||||||
RESTRICT = scalargtsel, JOIN = scalargtjoinsel
|
RESTRICT = scalargtsel, JOIN = scalargtjoinsel
|
||||||
);
|
);
|
||||||
|
|
||||||
|
CREATE OPERATOR || (
|
||||||
|
LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_concat
|
||||||
|
);
|
||||||
|
|
||||||
-- access methods
|
-- access methods
|
||||||
|
|
||||||
CREATE FUNCTION ivfflathandler(internal) RETURNS index_am_handler
|
CREATE FUNCTION ivfflathandler(internal) RETURNS index_am_handler
|
||||||
|
|||||||
11
src/hnsw.h
11
src/hnsw.h
@@ -80,7 +80,7 @@
|
|||||||
|
|
||||||
#if PG_VERSION_NUM < 130000
|
#if PG_VERSION_NUM < 130000
|
||||||
#define list_delete_last(list) list_truncate(list, list_length(list) - 1)
|
#define list_delete_last(list) list_truncate(list, list_length(list) - 1)
|
||||||
#define list_sort(list, cmp) list_qsort(list, cmp)
|
#define list_sort(list, cmp) ((list) = list_qsort(list, cmp))
|
||||||
#endif
|
#endif
|
||||||
|
|
||||||
#define HnswIsElementTuple(tup) ((tup)->type == HNSW_ELEMENT_TUPLE_TYPE)
|
#define HnswIsElementTuple(tup) ((tup)->type == HNSW_ELEMENT_TUPLE_TYPE)
|
||||||
@@ -129,7 +129,7 @@ HnswPtrDeclare(HnswNeighborArray, HnswNeighborArrayRelptr, HnswNeighborArrayPtr)
|
|||||||
HnswPtrDeclare(HnswNeighborArrayPtr, HnswNeighborsRelptr, HnswNeighborsPtr);
|
HnswPtrDeclare(HnswNeighborArrayPtr, HnswNeighborsRelptr, HnswNeighborsPtr);
|
||||||
HnswPtrDeclare(char, DatumRelptr, DatumPtr);
|
HnswPtrDeclare(char, DatumRelptr, DatumPtr);
|
||||||
|
|
||||||
typedef struct HnswElementData
|
struct HnswElementData
|
||||||
{
|
{
|
||||||
HnswElementPtr next;
|
HnswElementPtr next;
|
||||||
ItemPointerData heaptids[HNSW_HEAPTIDS];
|
ItemPointerData heaptids[HNSW_HEAPTIDS];
|
||||||
@@ -144,7 +144,7 @@ typedef struct HnswElementData
|
|||||||
BlockNumber neighborPage;
|
BlockNumber neighborPage;
|
||||||
DatumPtr value;
|
DatumPtr value;
|
||||||
LWLock lock;
|
LWLock lock;
|
||||||
} HnswElementData;
|
};
|
||||||
|
|
||||||
typedef HnswElementData * HnswElement;
|
typedef HnswElementData * HnswElement;
|
||||||
|
|
||||||
@@ -155,12 +155,12 @@ typedef struct HnswCandidate
|
|||||||
bool closer;
|
bool closer;
|
||||||
} HnswCandidate;
|
} HnswCandidate;
|
||||||
|
|
||||||
typedef struct HnswNeighborArray
|
struct HnswNeighborArray
|
||||||
{
|
{
|
||||||
int length;
|
int length;
|
||||||
bool closerSet;
|
bool closerSet;
|
||||||
HnswCandidate items[FLEXIBLE_ARRAY_MEMBER];
|
HnswCandidate items[FLEXIBLE_ARRAY_MEMBER];
|
||||||
} HnswNeighborArray;
|
};
|
||||||
|
|
||||||
typedef struct HnswPairingHeapNode
|
typedef struct HnswPairingHeapNode
|
||||||
{
|
{
|
||||||
@@ -185,6 +185,7 @@ typedef struct HnswGraph
|
|||||||
|
|
||||||
/* Entry state */
|
/* Entry state */
|
||||||
LWLock entryLock;
|
LWLock entryLock;
|
||||||
|
LWLock entryWaitLock;
|
||||||
HnswElementPtr entryPoint;
|
HnswElementPtr entryPoint;
|
||||||
|
|
||||||
/* Allocations state */
|
/* Allocations state */
|
||||||
|
|||||||
@@ -431,10 +431,15 @@ InsertTupleInMemory(HnswBuildState * buildstate, HnswElement element)
|
|||||||
HnswGraph *graph = buildstate->graph;
|
HnswGraph *graph = buildstate->graph;
|
||||||
HnswElement entryPoint;
|
HnswElement entryPoint;
|
||||||
LWLock *entryLock = &graph->entryLock;
|
LWLock *entryLock = &graph->entryLock;
|
||||||
|
LWLock *entryWaitLock = &graph->entryWaitLock;
|
||||||
int efConstruction = buildstate->efConstruction;
|
int efConstruction = buildstate->efConstruction;
|
||||||
int m = buildstate->m;
|
int m = buildstate->m;
|
||||||
char *base = buildstate->hnswarea;
|
char *base = buildstate->hnswarea;
|
||||||
|
|
||||||
|
/* Wait if another process needs exclusive lock on entry lock */
|
||||||
|
LWLockAcquire(entryWaitLock, LW_EXCLUSIVE);
|
||||||
|
LWLockRelease(entryWaitLock);
|
||||||
|
|
||||||
/* Get entry point */
|
/* Get entry point */
|
||||||
LWLockAcquire(entryLock, LW_SHARED);
|
LWLockAcquire(entryLock, LW_SHARED);
|
||||||
entryPoint = HnswPtrAccess(base, graph->entryPoint);
|
entryPoint = HnswPtrAccess(base, graph->entryPoint);
|
||||||
@@ -445,8 +450,10 @@ InsertTupleInMemory(HnswBuildState * buildstate, HnswElement element)
|
|||||||
/* Release shared lock */
|
/* Release shared lock */
|
||||||
LWLockRelease(entryLock);
|
LWLockRelease(entryLock);
|
||||||
|
|
||||||
/* Get exclusive lock */
|
/* Tell other processes to wait and get exclusive lock */
|
||||||
|
LWLockAcquire(entryWaitLock, LW_EXCLUSIVE);
|
||||||
LWLockAcquire(entryLock, LW_EXCLUSIVE);
|
LWLockAcquire(entryLock, LW_EXCLUSIVE);
|
||||||
|
LWLockRelease(entryWaitLock);
|
||||||
|
|
||||||
/* Get latest entry point after lock is acquired */
|
/* Get latest entry point after lock is acquired */
|
||||||
entryPoint = HnswPtrAccess(base, graph->entryPoint);
|
entryPoint = HnswPtrAccess(base, graph->entryPoint);
|
||||||
@@ -612,6 +619,7 @@ InitGraph(HnswGraph * graph, char *base, long memoryTotal)
|
|||||||
graph->indtuples = 0;
|
graph->indtuples = 0;
|
||||||
SpinLockInit(&graph->lock);
|
SpinLockInit(&graph->lock);
|
||||||
LWLockInitialize(&graph->entryLock, hnsw_lock_tranche_id);
|
LWLockInitialize(&graph->entryLock, hnsw_lock_tranche_id);
|
||||||
|
LWLockInitialize(&graph->entryWaitLock, hnsw_lock_tranche_id);
|
||||||
LWLockInitialize(&graph->allocatorLock, hnsw_lock_tranche_id);
|
LWLockInitialize(&graph->allocatorLock, hnsw_lock_tranche_id);
|
||||||
LWLockInitialize(&graph->flushLock, hnsw_lock_tranche_id);
|
LWLockInitialize(&graph->flushLock, hnsw_lock_tranche_id);
|
||||||
}
|
}
|
||||||
|
|||||||
@@ -860,12 +860,15 @@ HnswSearchLayer(char *base, Datum q, List *ep, int ef, int lc, Relation index, F
|
|||||||
static int
|
static int
|
||||||
#if PG_VERSION_NUM >= 130000
|
#if PG_VERSION_NUM >= 130000
|
||||||
CompareCandidateDistances(const ListCell *a, const ListCell *b)
|
CompareCandidateDistances(const ListCell *a, const ListCell *b)
|
||||||
|
{
|
||||||
|
HnswCandidate *hca = lfirst(a);
|
||||||
|
HnswCandidate *hcb = lfirst(b);
|
||||||
#else
|
#else
|
||||||
CompareCandidateDistances(const void *a, const void *b)
|
CompareCandidateDistances(const void *a, const void *b)
|
||||||
#endif
|
|
||||||
{
|
{
|
||||||
HnswCandidate *hca = lfirst((ListCell *) a);
|
HnswCandidate *hca = lfirst(*(ListCell **) a);
|
||||||
HnswCandidate *hcb = lfirst((ListCell *) b);
|
HnswCandidate *hcb = lfirst(*(ListCell **) b);
|
||||||
|
#endif
|
||||||
|
|
||||||
if (hca->distance < hcb->distance)
|
if (hca->distance < hcb->distance)
|
||||||
return 1;
|
return 1;
|
||||||
@@ -888,12 +891,15 @@ CompareCandidateDistances(const void *a, const void *b)
|
|||||||
static int
|
static int
|
||||||
#if PG_VERSION_NUM >= 130000
|
#if PG_VERSION_NUM >= 130000
|
||||||
CompareCandidateDistancesOffset(const ListCell *a, const ListCell *b)
|
CompareCandidateDistancesOffset(const ListCell *a, const ListCell *b)
|
||||||
|
{
|
||||||
|
HnswCandidate *hca = lfirst(a);
|
||||||
|
HnswCandidate *hcb = lfirst(b);
|
||||||
#else
|
#else
|
||||||
CompareCandidateDistancesOffset(const void *a, const void *b)
|
CompareCandidateDistancesOffset(const void *a, const void *b)
|
||||||
#endif
|
|
||||||
{
|
{
|
||||||
HnswCandidate *hca = lfirst((ListCell *) a);
|
HnswCandidate *hca = lfirst(*(ListCell **) a);
|
||||||
HnswCandidate *hcb = lfirst((ListCell *) b);
|
HnswCandidate *hcb = lfirst(*(ListCell **) b);
|
||||||
|
#endif
|
||||||
|
|
||||||
if (hca->distance < hcb->distance)
|
if (hca->distance < hcb->distance)
|
||||||
return 1;
|
return 1;
|
||||||
@@ -952,7 +958,9 @@ SelectNeighbors(char *base, List *c, int lm, int lc, FmgrInfo *procinfo, Oid col
|
|||||||
{
|
{
|
||||||
List *r = NIL;
|
List *r = NIL;
|
||||||
List *w = list_copy(c);
|
List *w = list_copy(c);
|
||||||
pairingheap *wd;
|
HnswCandidate **wd;
|
||||||
|
int wdlen = 0;
|
||||||
|
int wdoff = 0;
|
||||||
HnswNeighborArray *neighbors = HnswGetNeighbors(base, e2, lc);
|
HnswNeighborArray *neighbors = HnswGetNeighbors(base, e2, lc);
|
||||||
bool mustCalculate = !neighbors->closerSet;
|
bool mustCalculate = !neighbors->closerSet;
|
||||||
List *added = NIL;
|
List *added = NIL;
|
||||||
@@ -961,7 +969,7 @@ SelectNeighbors(char *base, List *c, int lm, int lc, FmgrInfo *procinfo, Oid col
|
|||||||
if (list_length(w) <= lm)
|
if (list_length(w) <= lm)
|
||||||
return w;
|
return w;
|
||||||
|
|
||||||
wd = pairingheap_allocate(CompareNearestCandidates, NULL);
|
wd = palloc(sizeof(HnswCandidate *) * list_length(w));
|
||||||
|
|
||||||
/* Ensure order of candidates is deterministic for closer caching */
|
/* Ensure order of candidates is deterministic for closer caching */
|
||||||
if (sortCandidates)
|
if (sortCandidates)
|
||||||
@@ -1027,21 +1035,21 @@ SelectNeighbors(char *base, List *c, int lm, int lc, FmgrInfo *procinfo, Oid col
|
|||||||
if (e->closer)
|
if (e->closer)
|
||||||
r = lappend(r, e);
|
r = lappend(r, e);
|
||||||
else
|
else
|
||||||
pairingheap_add(wd, &(CreatePairingHeapNode(e)->ph_node));
|
wd[wdlen++] = e;
|
||||||
}
|
}
|
||||||
|
|
||||||
/* Cached value can only be used in future if sorted deterministically */
|
/* Cached value can only be used in future if sorted deterministically */
|
||||||
neighbors->closerSet = sortCandidates;
|
neighbors->closerSet = sortCandidates;
|
||||||
|
|
||||||
/* Keep pruned connections */
|
/* Keep pruned connections */
|
||||||
while (!pairingheap_is_empty(wd) && list_length(r) < lm)
|
while (wdoff < wdlen && list_length(r) < lm)
|
||||||
r = lappend(r, ((HnswPairingHeapNode *) pairingheap_remove_first(wd))->inner);
|
r = lappend(r, wd[wdoff++]);
|
||||||
|
|
||||||
/* Return pruned for update connections */
|
/* Return pruned for update connections */
|
||||||
if (pruned != NULL)
|
if (pruned != NULL)
|
||||||
{
|
{
|
||||||
if (!pairingheap_is_empty(wd))
|
if (wdoff < wdlen)
|
||||||
*pruned = ((HnswPairingHeapNode *) pairingheap_first(wd))->inner;
|
*pruned = wd[wdoff];
|
||||||
else
|
else
|
||||||
*pruned = linitial(w);
|
*pruned = linitial(w);
|
||||||
}
|
}
|
||||||
|
|||||||
@@ -904,27 +904,6 @@ IvfflatBeginParallel(IvfflatBuildState * buildstate, bool isconcurrent, int requ
|
|||||||
WaitForParallelWorkersToAttach(pcxt);
|
WaitForParallelWorkersToAttach(pcxt);
|
||||||
}
|
}
|
||||||
|
|
||||||
/*
|
|
||||||
* Compute parallel workers
|
|
||||||
*/
|
|
||||||
static int
|
|
||||||
ComputeParallelWorkers(Relation heap, Relation index)
|
|
||||||
{
|
|
||||||
int parallel_workers;
|
|
||||||
|
|
||||||
/* Make sure it's safe to use parallel workers */
|
|
||||||
parallel_workers = plan_create_index_workers(RelationGetRelid(heap), RelationGetRelid(index));
|
|
||||||
if (parallel_workers == 0)
|
|
||||||
return 0;
|
|
||||||
|
|
||||||
/* Use parallel_workers storage parameter on table if set */
|
|
||||||
parallel_workers = RelationGetParallelWorkers(heap, -1);
|
|
||||||
if (parallel_workers != -1)
|
|
||||||
return Min(parallel_workers, max_parallel_maintenance_workers);
|
|
||||||
|
|
||||||
return max_parallel_maintenance_workers;
|
|
||||||
}
|
|
||||||
|
|
||||||
/*
|
/*
|
||||||
* Scan table for tuples to index
|
* Scan table for tuples to index
|
||||||
*/
|
*/
|
||||||
@@ -944,7 +923,7 @@ AssignTuples(IvfflatBuildState * buildstate)
|
|||||||
|
|
||||||
/* Calculate parallel workers */
|
/* Calculate parallel workers */
|
||||||
if (buildstate->heap != NULL)
|
if (buildstate->heap != NULL)
|
||||||
parallel_workers = ComputeParallelWorkers(buildstate->heap, buildstate->index);
|
parallel_workers = plan_create_index_workers(RelationGetRelid(buildstate->heap), RelationGetRelid(buildstate->index));
|
||||||
|
|
||||||
/* Attempt to launch parallel worker scan when required */
|
/* Attempt to launch parallel worker scan when required */
|
||||||
if (parallel_workers > 0)
|
if (parallel_workers > 0)
|
||||||
|
|||||||
25
src/vector.c
25
src/vector.c
@@ -1160,3 +1160,28 @@ vector_avg(PG_FUNCTION_ARGS)
|
|||||||
|
|
||||||
PG_RETURN_POINTER(result);
|
PG_RETURN_POINTER(result);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
/*
|
||||||
|
* Concat vectors
|
||||||
|
*/
|
||||||
|
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_concat);
|
||||||
|
Datum
|
||||||
|
vector_concat(PG_FUNCTION_ARGS)
|
||||||
|
{
|
||||||
|
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||||
|
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||||
|
Vector *result;
|
||||||
|
int dim = a->dim + b->dim;
|
||||||
|
|
||||||
|
CheckDim(dim);
|
||||||
|
|
||||||
|
result = InitVector(dim);
|
||||||
|
|
||||||
|
for (int i = 0; i < a->dim; i++)
|
||||||
|
result->x[i] = a->x[i];
|
||||||
|
|
||||||
|
for (int i = 0; i < b->dim; i++)
|
||||||
|
result->x[i + a->dim] = b->x[i];
|
||||||
|
|
||||||
|
PG_RETURN_POINTER(result);
|
||||||
|
}
|
||||||
|
|||||||
@@ -24,6 +24,14 @@ SELECT '[1e37]'::vector * '[1e37]';
|
|||||||
ERROR: value out of range: overflow
|
ERROR: value out of range: overflow
|
||||||
SELECT '[1e-37]'::vector * '[1e-37]';
|
SELECT '[1e-37]'::vector * '[1e-37]';
|
||||||
ERROR: value out of range: underflow
|
ERROR: value out of range: underflow
|
||||||
|
SELECT '[1,2,3]'::vector || '[4,5]'::vector;
|
||||||
|
?column?
|
||||||
|
-------------
|
||||||
|
[1,2,3,4,5]
|
||||||
|
(1 row)
|
||||||
|
|
||||||
|
SELECT array_fill(0, ARRAY[16000])::vector || '[1]'::vector;
|
||||||
|
ERROR: vector cannot have more than 16000 dimensions
|
||||||
SELECT '[1,2,3]'::vector = '[1,2,3]';
|
SELECT '[1,2,3]'::vector = '[1,2,3]';
|
||||||
?column?
|
?column?
|
||||||
----------
|
----------
|
||||||
|
|||||||
@@ -6,6 +6,9 @@ SELECT '[1,2,3]'::vector * '[4,5,6]';
|
|||||||
SELECT '[1e37]'::vector * '[1e37]';
|
SELECT '[1e37]'::vector * '[1e37]';
|
||||||
SELECT '[1e-37]'::vector * '[1e-37]';
|
SELECT '[1e-37]'::vector * '[1e-37]';
|
||||||
|
|
||||||
|
SELECT '[1,2,3]'::vector || '[4,5]'::vector;
|
||||||
|
SELECT array_fill(0, ARRAY[16000])::vector || '[1]'::vector;
|
||||||
|
|
||||||
SELECT '[1,2,3]'::vector = '[1,2,3]';
|
SELECT '[1,2,3]'::vector = '[1,2,3]';
|
||||||
SELECT '[1,2,3]'::vector = '[1,2]';
|
SELECT '[1,2,3]'::vector = '[1,2]';
|
||||||
|
|
||||||
|
|||||||
@@ -1,4 +1,4 @@
|
|||||||
comment = 'vector data type and ivfflat and hnsw access methods'
|
comment = 'vector data type and ivfflat and hnsw access methods'
|
||||||
default_version = '0.6.0'
|
default_version = '0.6.1'
|
||||||
module_pathname = '$libdir/vector'
|
module_pathname = '$libdir/vector'
|
||||||
relocatable = true
|
relocatable = true
|
||||||
|
|||||||
Reference in New Issue
Block a user