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hnsw-cost-
...
non-mvcc-s
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
cb91de3332 |
8
.github/workflows/build.yml
vendored
8
.github/workflows/build.yml
vendored
@@ -8,8 +8,6 @@ jobs:
|
||||
fail-fast: false
|
||||
matrix:
|
||||
include:
|
||||
- postgres: 17
|
||||
os: ubuntu-22.04
|
||||
- postgres: 16
|
||||
os: ubuntu-22.04
|
||||
- postgres: 15
|
||||
@@ -23,7 +21,7 @@ jobs:
|
||||
- postgres: 11
|
||||
os: ubuntu-20.04
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- uses: actions/checkout@v3
|
||||
- uses: ankane/setup-postgres@v1
|
||||
with:
|
||||
postgres-version: ${{ matrix.postgres }}
|
||||
@@ -45,7 +43,7 @@ jobs:
|
||||
runs-on: macos-latest
|
||||
if: ${{ !startsWith(github.ref_name, 'windows') }}
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- uses: actions/checkout@v3
|
||||
- uses: ankane/setup-postgres@v1
|
||||
with:
|
||||
postgres-version: 14
|
||||
@@ -67,7 +65,7 @@ jobs:
|
||||
runs-on: windows-latest
|
||||
if: ${{ !startsWith(github.ref_name, 'mac') }}
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- uses: actions/checkout@v3
|
||||
- uses: ankane/setup-postgres@v1
|
||||
with:
|
||||
postgres-version: 14
|
||||
|
||||
15
CHANGELOG.md
15
CHANGELOG.md
@@ -1,16 +1,7 @@
|
||||
## 0.5.2 (unreleased)
|
||||
## 0.5.1 (unreleased)
|
||||
|
||||
- Improved performance of HNSW
|
||||
- Added support for on-disk parallel index builds for HNSW
|
||||
- Reduced memory usage for HNSW index builds
|
||||
- Reduced WAL generation for HNSW index builds
|
||||
- Fixed error with logical replication
|
||||
- Fixed `invalid memory alloc request size` error with HNSW index build
|
||||
|
||||
## 0.5.1 (2023-10-10)
|
||||
|
||||
- Improved performance of HNSW index builds
|
||||
- Added check for MVCC-compliant snapshot for index scans
|
||||
- Improved performance of index scans for IVFFlat after updates and deletes
|
||||
- Fixed locking for index scans for HNSW
|
||||
|
||||
## 0.5.0 (2023-08-28)
|
||||
|
||||
|
||||
@@ -2,7 +2,7 @@
|
||||
"name": "vector",
|
||||
"abstract": "Open-source vector similarity search for Postgres",
|
||||
"description": "Supports L2 distance, inner product, and cosine distance",
|
||||
"version": "0.5.1",
|
||||
"version": "0.5.0",
|
||||
"maintainer": [
|
||||
"Andrew Kane <andrew@ankane.org>"
|
||||
],
|
||||
@@ -20,7 +20,7 @@
|
||||
"vector": {
|
||||
"file": "sql/vector.sql",
|
||||
"docfile": "README.md",
|
||||
"version": "0.5.1",
|
||||
"version": "0.5.0",
|
||||
"abstract": "Open-source vector similarity search for Postgres"
|
||||
}
|
||||
},
|
||||
|
||||
2
Makefile
2
Makefile
@@ -1,5 +1,5 @@
|
||||
EXTENSION = vector
|
||||
EXTVERSION = 0.5.1
|
||||
EXTVERSION = 0.5.0
|
||||
|
||||
MODULE_big = vector
|
||||
DATA = $(wildcard sql/*--*.sql)
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
EXTENSION = vector
|
||||
EXTVERSION = 0.5.1
|
||||
EXTVERSION = 0.5.0
|
||||
|
||||
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
|
||||
@@ -56,7 +56,7 @@ install:
|
||||
copy $(EXTENSION).control "$(SHAREDIR)\extension"
|
||||
copy sql\$(EXTENSION)--*.sql "$(SHAREDIR)\extension"
|
||||
mkdir "$(INCLUDEDIR_SERVER)\extension\$(EXTENSION)"
|
||||
for %f in ($(HEADERS)) do copy %f "$(INCLUDEDIR_SERVER)\extension\$(EXTENSION)"
|
||||
copy $(HEADERS) "$(INCLUDEDIR_SERVER)\extension\$(EXTENSION)"
|
||||
|
||||
installcheck:
|
||||
"$(BINDIR)\pg_regress" --bindir="$(BINDIR)" $(REGRESS_OPTS) $(REGRESS)
|
||||
|
||||
296
README.md
296
README.md
@@ -10,7 +10,7 @@ Store your vectors with the rest of your data. Supports:
|
||||
|
||||
Plus [ACID](https://en.wikipedia.org/wiki/ACID) compliance, point-in-time recovery, JOINs, and all of the other [great features](https://www.postgresql.org/about/) of Postgres
|
||||
|
||||
[](https://github.com/pgvector/pgvector/actions)
|
||||
[](https://github.com/pgvector/pgvector/actions)
|
||||
|
||||
## Installation
|
||||
|
||||
@@ -18,7 +18,7 @@ Compile and install the extension (supports Postgres 11+)
|
||||
|
||||
```sh
|
||||
cd /tmp
|
||||
git clone --branch v0.5.1 https://github.com/pgvector/pgvector.git
|
||||
git clone --branch v0.5.0 https://github.com/pgvector/pgvector.git
|
||||
cd pgvector
|
||||
make
|
||||
make install # may need sudo
|
||||
@@ -26,7 +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), 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), or [conda-forge](#conda-forge), and it comes preinstalled with [Postgres.app](#postgresapp) and many [hosted providers](#hosted-postgres)
|
||||
|
||||
## Getting Started
|
||||
|
||||
@@ -161,97 +161,8 @@ 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
|
||||
|
||||
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.
|
||||
|
||||
Add an index for each distance function you want to use.
|
||||
|
||||
L2 distance
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING hnsw (embedding vector_l2_ops);
|
||||
```
|
||||
|
||||
Inner product
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING hnsw (embedding vector_ip_ops);
|
||||
```
|
||||
|
||||
Cosine distance
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING hnsw (embedding vector_cosine_ops);
|
||||
```
|
||||
|
||||
Vectors with up to 2,000 dimensions can be indexed.
|
||||
|
||||
### Index Options
|
||||
|
||||
Specify HNSW parameters
|
||||
|
||||
- `m` - the max number of connections per layer (16 by default)
|
||||
- `ef_construction` - the size of the dynamic candidate list for constructing the graph (64 by default)
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING hnsw (embedding vector_l2_ops) WITH (m = 16, ef_construction = 64);
|
||||
```
|
||||
|
||||
A higher value of `ef_construction` provides better recall at the cost of index build time / insert speed.
|
||||
|
||||
### Query Options
|
||||
|
||||
Specify the size of the dynamic candidate list for search (40 by default)
|
||||
|
||||
```sql
|
||||
SET hnsw.ef_search = 100;
|
||||
```
|
||||
|
||||
A higher value provides better recall at the cost of speed.
|
||||
|
||||
Use `SET LOCAL` inside a transaction to set it for a single query
|
||||
|
||||
```sql
|
||||
BEGIN;
|
||||
SET LOCAL hnsw.ef_search = 100;
|
||||
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
|
||||
|
||||
### 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 * blocks_done / nullif(blocks_total, 0), 1) AS "%" FROM pg_stat_progress_create_index;
|
||||
```
|
||||
|
||||
The phases for HNSW are:
|
||||
|
||||
1. `initializing`
|
||||
2. `loading tuples`
|
||||
- [HNSW](#hnsw) - added in 0.5.0
|
||||
|
||||
## IVFFlat
|
||||
|
||||
@@ -304,32 +215,78 @@ SELECT ...
|
||||
COMMIT;
|
||||
```
|
||||
|
||||
### Index Build Time
|
||||
## HNSW
|
||||
|
||||
Speed up index creation on large tables by increasing the number of parallel workers (2 by default)
|
||||
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.
|
||||
|
||||
L2 distance
|
||||
|
||||
```sql
|
||||
SET max_parallel_maintenance_workers = 7; -- plus leader
|
||||
CREATE INDEX ON items USING hnsw (embedding vector_l2_ops);
|
||||
```
|
||||
|
||||
For a large number of workers, you may also need to increase `max_parallel_workers` (8 by default)
|
||||
Inner product
|
||||
|
||||
### Indexing Progress
|
||||
```sql
|
||||
CREATE INDEX ON items USING hnsw (embedding vector_ip_ops);
|
||||
```
|
||||
|
||||
Cosine distance
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING hnsw (embedding vector_cosine_ops);
|
||||
```
|
||||
|
||||
Vectors with up to 2,000 dimensions can be indexed.
|
||||
|
||||
### Index Options
|
||||
|
||||
Specify HNSW parameters
|
||||
|
||||
- `m` - the max number of connections per layer (16 by default)
|
||||
- `ef_construction` - the size of the dynamic candidate list for constructing the graph (64 by default)
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING hnsw (embedding vector_l2_ops) WITH (m = 16, ef_construction = 64);
|
||||
```
|
||||
|
||||
### Query Options
|
||||
|
||||
Specify the size of the dynamic candidate list for search (40 by default)
|
||||
|
||||
```sql
|
||||
SET hnsw.ef_search = 100;
|
||||
```
|
||||
|
||||
A higher value provides better recall at the cost of speed.
|
||||
|
||||
Use `SET LOCAL` inside a transaction to set it for a single query
|
||||
|
||||
```sql
|
||||
BEGIN;
|
||||
SET LOCAL hnsw.ef_search = 100;
|
||||
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;
|
||||
SELECT phase, tuples_done, tuples_total FROM pg_stat_progress_create_index;
|
||||
```
|
||||
|
||||
The phases for IVFFlat are:
|
||||
The phases are:
|
||||
|
||||
1. `initializing`
|
||||
2. `performing k-means`
|
||||
3. `assigning tuples`
|
||||
2. `performing k-means` - IVFFlat only
|
||||
3. `assigning tuples` - IVFFlat only
|
||||
4. `loading tuples`
|
||||
|
||||
Note: `%` is only populated during the `loading tuples` phase
|
||||
Note: `tuples_done` and `tuples_total` are only populated during the `loading tuples` phase
|
||||
|
||||
## Filtering
|
||||
|
||||
@@ -348,7 +305,8 @@ 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
|
||||
@@ -359,15 +317,13 @@ CREATE TABLE items (embedding vector(3), category_id int) PARTITION BY LIST(cate
|
||||
|
||||
## Hybrid Search
|
||||
|
||||
Use together with Postgres [full-text search](https://www.postgresql.org/docs/current/textsearch-intro.html) for hybrid search.
|
||||
Use together with Postgres [full-text search](https://www.postgresql.org/docs/current/textsearch-intro.html) for hybrid search ([Python example](https://github.com/pgvector/pgvector-python/blob/master/examples/hybrid_search.py)).
|
||||
|
||||
```sql
|
||||
SELECT id, content FROM items, plainto_tsquery('hello search') query
|
||||
WHERE textsearch @@ query ORDER BY ts_rank_cd(textsearch, query) DESC LIMIT 5;
|
||||
```
|
||||
|
||||
You can use [Reciprocal Rank Fusion](https://github.com/pgvector/pgvector-python/blob/master/examples/hybrid_search_rrf.py) or a [cross-encoder](https://github.com/pgvector/pgvector-python/blob/master/examples/hybrid_search.py) to combine results.
|
||||
|
||||
## Performance
|
||||
|
||||
Use `EXPLAIN ANALYZE` to debug performance.
|
||||
@@ -404,21 +360,17 @@ Use pgvector from any language with a Postgres client. You can even generate and
|
||||
|
||||
Language | Libraries / Examples
|
||||
--- | ---
|
||||
C | [pgvector-c](https://github.com/pgvector/pgvector-c)
|
||||
C++ | [pgvector-cpp](https://github.com/pgvector/pgvector-cpp)
|
||||
C#, F#, Visual Basic | [pgvector-dotnet](https://github.com/pgvector/pgvector-dotnet)
|
||||
C# | [pgvector-dotnet](https://github.com/pgvector/pgvector-dotnet)
|
||||
Crystal | [pgvector-crystal](https://github.com/pgvector/pgvector-crystal)
|
||||
Dart | [pgvector-dart](https://github.com/pgvector/pgvector-dart)
|
||||
Elixir | [pgvector-elixir](https://github.com/pgvector/pgvector-elixir)
|
||||
Go | [pgvector-go](https://github.com/pgvector/pgvector-go)
|
||||
Haskell | [pgvector-haskell](https://github.com/pgvector/pgvector-haskell)
|
||||
Java, Kotlin, Groovy, Scala | [pgvector-java](https://github.com/pgvector/pgvector-java)
|
||||
JavaScript, TypeScript | [pgvector-node](https://github.com/pgvector/pgvector-node)
|
||||
Java, Scala | [pgvector-java](https://github.com/pgvector/pgvector-java)
|
||||
Julia | [pgvector-julia](https://github.com/pgvector/pgvector-julia)
|
||||
Lisp | [pgvector-lisp](https://github.com/pgvector/pgvector-lisp)
|
||||
Lua | [pgvector-lua](https://github.com/pgvector/pgvector-lua)
|
||||
Nim | [pgvector-nim](https://github.com/pgvector/pgvector-nim)
|
||||
OCaml | [pgvector-ocaml](https://github.com/pgvector/pgvector-ocaml)
|
||||
Node.js | [pgvector-node](https://github.com/pgvector/pgvector-node)
|
||||
Perl | [pgvector-perl](https://github.com/pgvector/pgvector-perl)
|
||||
PHP | [pgvector-php](https://github.com/pgvector/pgvector-php)
|
||||
Python | [pgvector-python](https://github.com/pgvector/pgvector-python)
|
||||
@@ -426,7 +378,6 @@ R | [pgvector-r](https://github.com/pgvector/pgvector-r)
|
||||
Ruby | [pgvector-ruby](https://github.com/pgvector/pgvector-ruby), [Neighbor](https://github.com/ankane/neighbor)
|
||||
Rust | [pgvector-rust](https://github.com/pgvector/pgvector-rust)
|
||||
Swift | [pgvector-swift](https://github.com/pgvector/pgvector-swift)
|
||||
Zig | [pgvector-zig](https://github.com/pgvector/pgvector-zig)
|
||||
|
||||
## Frequently Asked Questions
|
||||
|
||||
@@ -442,63 +393,6 @@ Yes, pgvector uses the write-ahead log (WAL), which allows for replication and p
|
||||
|
||||
You’ll need to use [dimensionality reduction](https://en.wikipedia.org/wiki/Dimensionality_reduction) at the moment.
|
||||
|
||||
#### Can I store vectors with different dimensions in the same column?
|
||||
|
||||
You can use `vector` as the type (instead of `vector(3)`).
|
||||
|
||||
```sql
|
||||
CREATE TABLE embeddings (model_id bigint, item_id bigint, embedding vector, PRIMARY KEY (model_id, item_id));
|
||||
```
|
||||
|
||||
However, you can only create indexes on rows with the same number of dimensions (using [expression](https://www.postgresql.org/docs/current/indexes-expressional.html) and [partial](https://www.postgresql.org/docs/current/indexes-partial.html) indexing):
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON embeddings USING hnsw ((embedding::vector(3)) vector_l2_ops) WHERE (model_id = 123);
|
||||
```
|
||||
|
||||
and query with:
|
||||
|
||||
```sql
|
||||
SELECT * FROM embeddings WHERE model_id = 123 ORDER BY embedding::vector(3) <-> '[3,1,2]' LIMIT 5;
|
||||
```
|
||||
|
||||
#### Can I store vectors with more precision?
|
||||
|
||||
You can use the `double precision[]` or `numeric[]` type to store vectors with more precision.
|
||||
|
||||
```sql
|
||||
CREATE TABLE items (id bigserial PRIMARY KEY, embedding double precision[]);
|
||||
|
||||
-- use {} instead of [] for Postgres arrays
|
||||
INSERT INTO items (embedding) VALUES ('{1,2,3}'), ('{4,5,6}');
|
||||
```
|
||||
|
||||
Optionally, add a [check constraint](https://www.postgresql.org/docs/current/ddl-constraints.html) to ensure data can be converted to the `vector` type and has the expected dimensions.
|
||||
|
||||
```sql
|
||||
ALTER TABLE items ADD CHECK (vector_dims(embedding::vector) = 3);
|
||||
```
|
||||
|
||||
Use [expression indexing](https://www.postgresql.org/docs/current/indexes-expressional.html) to index (at a lower precision):
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING hnsw ((embedding::vector(3)) vector_l2_ops);
|
||||
```
|
||||
|
||||
and query with:
|
||||
|
||||
```sql
|
||||
SELECT * FROM items ORDER BY embedding::vector(3) <-> '[3,1,2]' LIMIT 5;
|
||||
```
|
||||
|
||||
#### Do indexes need to fit into memory?
|
||||
|
||||
No, but like other index types, you’ll likely see better performance if they do. You can get the size of an index with:
|
||||
|
||||
```sql
|
||||
SELECT pg_size_pretty(pg_relation_size('index_name'));
|
||||
```
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
#### Why isn’t a query using an index?
|
||||
@@ -512,8 +406,6 @@ SELECT ...
|
||||
COMMIT;
|
||||
```
|
||||
|
||||
Also, if the table is small, a table scan may be faster.
|
||||
|
||||
#### Why isn’t a query using a parallel table scan?
|
||||
|
||||
The planner doesn’t consider [out-of-line storage](https://www.postgresql.org/docs/current/storage-toast.html) in cost estimates, which can make a serial scan look cheaper. You can reduce the cost of a parallel scan for a query with:
|
||||
@@ -582,7 +474,7 @@ 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:
|
||||
@@ -591,14 +483,6 @@ 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.
|
||||
@@ -606,14 +490,10 @@ If compilation fails with `fatal error: postgres.h: No such file or directory`,
|
||||
For Ubuntu and Debian, use:
|
||||
|
||||
```sh
|
||||
sudo apt install postgresql-server-dev-16
|
||||
sudo apt install postgresql-server-dev-15
|
||||
```
|
||||
|
||||
Note: Replace `16` with your Postgres server version
|
||||
|
||||
### Missing SDK
|
||||
|
||||
If compilation fails and the output includes `warning: no such sysroot directory` on Mac, reinstall Xcode Command Line Tools.
|
||||
Note: Replace `15` with your Postgres server version
|
||||
|
||||
### Windows
|
||||
|
||||
@@ -628,8 +508,8 @@ Note: The exact path will vary depending on your Visual Studio version and editi
|
||||
Then use `nmake` to build:
|
||||
|
||||
```cmd
|
||||
set "PGROOT=C:\Program Files\PostgreSQL\16"
|
||||
git clone --branch v0.5.1 https://github.com/pgvector/pgvector.git
|
||||
set "PGROOT=C:\Program Files\PostgreSQL\15"
|
||||
git clone --branch v0.5.0 https://github.com/pgvector/pgvector.git
|
||||
cd pgvector
|
||||
nmake /F Makefile.win
|
||||
nmake /F Makefile.win install
|
||||
@@ -650,7 +530,7 @@ This adds pgvector to the [Postgres image](https://hub.docker.com/_/postgres) (r
|
||||
You can also build the image manually:
|
||||
|
||||
```sh
|
||||
git clone --branch v0.5.1 https://github.com/pgvector/pgvector.git
|
||||
git clone --branch v0.5.0 https://github.com/pgvector/pgvector.git
|
||||
cd pgvector
|
||||
docker build --build-arg PG_MAJOR=15 -t myuser/pgvector .
|
||||
```
|
||||
@@ -678,22 +558,22 @@ 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
|
||||
Note: Replace `15` with your Postgres server version
|
||||
|
||||
### conda-forge
|
||||
|
||||
@@ -715,7 +595,7 @@ pgvector is available on [these providers](https://github.com/pgvector/pgvector/
|
||||
|
||||
## Upgrading
|
||||
|
||||
[Install](#installation) the latest version (use the same method as the original installation). Then in each database you want to upgrade, run:
|
||||
Install the latest version. Then in each database you want to upgrade, run:
|
||||
|
||||
```sql
|
||||
ALTER EXTENSION vector UPDATE;
|
||||
@@ -803,25 +683,7 @@ 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
|
||||
|
||||
@@ -1,2 +0,0 @@
|
||||
-- complain if script is sourced in psql, rather than via CREATE EXTENSION
|
||||
\echo Use "ALTER EXTENSION vector UPDATE TO '0.5.1'" to load this file. \quit
|
||||
35
src/hnsw.c
35
src/hnsw.c
@@ -14,7 +14,6 @@
|
||||
#endif
|
||||
|
||||
int hnsw_ef_search;
|
||||
bool hnsw_enable_parallel_build;
|
||||
static relopt_kind hnsw_relopt_kind;
|
||||
|
||||
/*
|
||||
@@ -40,11 +39,6 @@ HnswInit(void)
|
||||
DefineCustomIntVariable("hnsw.ef_search", "Sets the size of the dynamic candidate list for search",
|
||||
"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);
|
||||
|
||||
/* 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);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -79,14 +73,12 @@ hnswcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
||||
int m;
|
||||
int entryLevel;
|
||||
Relation index;
|
||||
double selectivity = 1;
|
||||
ListCell *lc;
|
||||
#if PG_VERSION_NUM < 120000
|
||||
List *qinfos;
|
||||
#endif
|
||||
|
||||
/* Never use index without order or limit */
|
||||
if (path->indexorderbys == NULL || root->limit_tuples < 0)
|
||||
/* Never use index without order */
|
||||
if (path->indexorderbys == NULL)
|
||||
{
|
||||
*indexStartupCost = DBL_MAX;
|
||||
*indexTotalCost = DBL_MAX;
|
||||
@@ -96,29 +88,6 @@ hnswcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
||||
return;
|
||||
}
|
||||
|
||||
/* Get the selectivity of non-index conditions */
|
||||
foreach(lc, path->indexinfo->indrestrictinfo)
|
||||
{
|
||||
RestrictInfo *rinfo = lfirst(lc);
|
||||
|
||||
if (rinfo->norm_selec >= 0 && rinfo->norm_selec <= 1 && rinfo->norm_selec != (Selectivity) DEFAULT_INEQ_SEL)
|
||||
selectivity *= rinfo->norm_selec;
|
||||
}
|
||||
|
||||
/*
|
||||
* Do not use index if limit + offset > expected tuples unless
|
||||
* enable_seqscan = off
|
||||
*/
|
||||
if (root->limit_tuples > hnsw_ef_search * selectivity)
|
||||
{
|
||||
*indexStartupCost = 1.0e10 - 1;
|
||||
*indexTotalCost = 1.0e10 - 1;
|
||||
*indexSelectivity = 0;
|
||||
*indexCorrelation = 0;
|
||||
*indexPages = 0;
|
||||
return;
|
||||
}
|
||||
|
||||
MemSet(&costs, 0, sizeof(costs));
|
||||
|
||||
index = index_open(path->indexinfo->indexoid, NoLock);
|
||||
|
||||
138
src/hnsw.h
138
src/hnsw.h
@@ -4,9 +4,7 @@
|
||||
#include "postgres.h"
|
||||
|
||||
#include "access/generic_xlog.h"
|
||||
#include "access/parallel.h"
|
||||
#include "access/reloptions.h"
|
||||
#include "lib/ilist.h"
|
||||
#include "nodes/execnodes.h"
|
||||
#include "port.h" /* for random() */
|
||||
#include "utils/sampling.h"
|
||||
@@ -16,10 +14,6 @@
|
||||
#error "Requires PostgreSQL 11+"
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM < 120000
|
||||
#include "access/relscan.h"
|
||||
#endif
|
||||
|
||||
#define HNSW_MAX_DIM 2000
|
||||
|
||||
/* Support functions */
|
||||
@@ -63,9 +57,7 @@
|
||||
/* PROGRESS_CREATEIDX_SUBPHASE_INITIALIZE is 1 */
|
||||
#define PROGRESS_HNSW_PHASE_LOAD 2
|
||||
|
||||
#define HNSW_MAX_SIZE (BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(HnswPageOpaqueData)) - sizeof(ItemIdData))
|
||||
|
||||
#define HNSW_ELEMENT_TUPLE_SIZE(size) MAXALIGN(offsetof(HnswElementTupleData, data) + (size))
|
||||
#define HNSW_ELEMENT_TUPLE_SIZE(_dim) MAXALIGN(offsetof(HnswElementTupleData, vec) + VECTOR_SIZE(_dim))
|
||||
#define HNSW_NEIGHBOR_TUPLE_SIZE(level, m) MAXALIGN(offsetof(HnswNeighborTupleData, indextids) + ((level) + 2) * (m) * sizeof(ItemPointerData))
|
||||
|
||||
#define HnswPageGetOpaque(page) ((HnswPageOpaque) PageGetSpecialPointer(page))
|
||||
@@ -73,10 +65,8 @@
|
||||
|
||||
#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
|
||||
@@ -94,28 +84,24 @@
|
||||
#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 HnswGetNeighbors(element, lc) (AssertMacro((element)->level >= (lc)), &(element)->neighbors[lc])
|
||||
#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 bool hnsw_enable_parallel_build;
|
||||
|
||||
typedef struct HnswNeighborArray HnswNeighborArray;
|
||||
|
||||
typedef struct HnswElementData
|
||||
{
|
||||
slist_node next;
|
||||
ItemPointerData heaptids[HNSW_HEAPTIDS];
|
||||
uint8 heaptidsLength;
|
||||
List *heaptids;
|
||||
uint8 level;
|
||||
uint8 deleted;
|
||||
uint32 hash;
|
||||
struct HnswNeighborArray *neighbors;
|
||||
HnswNeighborArray *neighbors;
|
||||
BlockNumber blkno;
|
||||
OffsetNumber offno;
|
||||
OffsetNumber neighborOffno;
|
||||
BlockNumber neighborPage;
|
||||
Datum value;
|
||||
Vector *vec;
|
||||
} HnswElementData;
|
||||
|
||||
typedef HnswElementData * HnswElement;
|
||||
@@ -124,13 +110,11 @@ typedef struct HnswCandidate
|
||||
{
|
||||
HnswElement element;
|
||||
float distance;
|
||||
bool closer;
|
||||
} HnswCandidate;
|
||||
|
||||
typedef struct HnswNeighborArray
|
||||
{
|
||||
int length;
|
||||
bool closerSet;
|
||||
HnswCandidate *items;
|
||||
} HnswNeighborArray;
|
||||
|
||||
@@ -148,59 +132,6 @@ typedef struct HnswOptions
|
||||
int efConstruction; /* size of dynamic candidate list */
|
||||
} HnswOptions;
|
||||
|
||||
typedef struct HnswGraph
|
||||
{
|
||||
slist_head elements;
|
||||
HnswElement entryPoint;
|
||||
long memoryUsed;
|
||||
long memoryTotal;
|
||||
bool flushed;
|
||||
double indtuples;
|
||||
} HnswGraph;
|
||||
|
||||
typedef struct HnswSpool
|
||||
{
|
||||
Relation heap;
|
||||
Relation index;
|
||||
} HnswSpool;
|
||||
|
||||
typedef struct HnswShared
|
||||
{
|
||||
/* Immutable state */
|
||||
Oid heaprelid;
|
||||
Oid indexrelid;
|
||||
bool isconcurrent;
|
||||
int scantuplesortstates;
|
||||
|
||||
/* Worker progress */
|
||||
ConditionVariable workersdonecv;
|
||||
|
||||
/* Mutex for mutable state */
|
||||
slock_t mutex;
|
||||
|
||||
/* Mutable state */
|
||||
int nparticipantsdone;
|
||||
double reltuples;
|
||||
HnswGraph graphData;
|
||||
|
||||
#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
|
||||
{
|
||||
ParallelContext *pcxt;
|
||||
int nparticipanttuplesorts;
|
||||
HnswShared *hnswshared;
|
||||
Snapshot snapshot;
|
||||
} HnswLeader;
|
||||
|
||||
typedef struct HnswBuildState
|
||||
{
|
||||
/* Info */
|
||||
@@ -224,19 +155,16 @@ typedef struct HnswBuildState
|
||||
Oid collation;
|
||||
|
||||
/* Variables */
|
||||
HnswGraph graphData;
|
||||
HnswGraph *graph;
|
||||
List *elements;
|
||||
HnswElement entryPoint;
|
||||
double ml;
|
||||
int maxLevel;
|
||||
double maxInMemoryElements;
|
||||
bool flushed;
|
||||
Vector *normvec;
|
||||
|
||||
/* Memory */
|
||||
MemoryContext graphCtx;
|
||||
MemoryContext tmpCtx;
|
||||
|
||||
/* Parallel builds */
|
||||
HnswLeader *hnswleader;
|
||||
HnswShared *hnswshared;
|
||||
} HnswBuildState;
|
||||
|
||||
typedef struct HnswMetaPageData
|
||||
@@ -272,7 +200,7 @@ typedef struct HnswElementTupleData
|
||||
ItemPointerData heaptids[HNSW_HEAPTIDS];
|
||||
ItemPointerData neighbortid;
|
||||
uint16 unused2;
|
||||
Vector data;
|
||||
Vector vec;
|
||||
} HnswElementTupleData;
|
||||
|
||||
typedef HnswElementTupleData * HnswElementTuple;
|
||||
@@ -318,7 +246,7 @@ typedef struct HnswVacuumState
|
||||
Oid collation;
|
||||
|
||||
/* Variables */
|
||||
struct tidhash_hash *deleted;
|
||||
HTAB *deleted;
|
||||
BufferAccessStrategy bas;
|
||||
HnswNeighborTuple ntup;
|
||||
HnswElementData highestPoint;
|
||||
@@ -330,30 +258,33 @@ typedef struct HnswVacuumState
|
||||
/* Methods */
|
||||
int HnswGetM(Relation index);
|
||||
int HnswGetEfConstruction(Relation index);
|
||||
FmgrInfo *HnswOptionalProcInfo(Relation index, uint16 procnum);
|
||||
FmgrInfo *HnswOptionalProcInfo(Relation rel, uint16 procnum);
|
||||
bool HnswNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result);
|
||||
void HnswCommitBuffer(Buffer buf, GenericXLogState *state);
|
||||
Buffer HnswNewBuffer(Relation index, ForkNumber forkNum);
|
||||
void HnswInitPage(Buffer buf, Page page);
|
||||
void HnswInitRegisterPage(Relation index, Buffer *buf, Page *page, GenericXLogState **state);
|
||||
void HnswInit(void);
|
||||
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);
|
||||
HnswElement HnswInitElement(ItemPointer tid, int m, double ml, int maxLevel);
|
||||
void HnswFreeElement(HnswElement element);
|
||||
HnswElement HnswInitElementFromBlock(BlockNumber blkno, OffsetNumber offno);
|
||||
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 HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum);
|
||||
void HnswSetNeighborTuple(HnswNeighborTuple ntup, HnswElement e, int m);
|
||||
void HnswAddHeapTid(HnswElement element, ItemPointer heaptid);
|
||||
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);
|
||||
bool HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel);
|
||||
void HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement e, int m, bool checkExisting);
|
||||
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(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);
|
||||
PGDLLEXPORT void HnswParallelBuildMain(dsm_segment *seg, shm_toc *toc);
|
||||
|
||||
/* Index access methods */
|
||||
IndexBuildResult *hnswbuild(Relation heap, Relation index, IndexInfo *indexInfo);
|
||||
@@ -371,31 +302,4 @@ void hnswrescan(IndexScanDesc scan, ScanKey keys, int nkeys, ScanKey orderbys,
|
||||
bool hnswgettuple(IndexScanDesc scan, ScanDirection dir);
|
||||
void hnswendscan(IndexScanDesc scan);
|
||||
|
||||
/* Hash tables */
|
||||
typedef struct TidHashEntry
|
||||
{
|
||||
ItemPointerData tid;
|
||||
char status;
|
||||
} TidHashEntry;
|
||||
|
||||
#define SH_PREFIX tidhash
|
||||
#define SH_ELEMENT_TYPE TidHashEntry
|
||||
#define SH_KEY_TYPE ItemPointerData
|
||||
#define SH_SCOPE extern
|
||||
#define SH_DECLARE
|
||||
#include "lib/simplehash.h"
|
||||
|
||||
typedef struct PointerHashEntry
|
||||
{
|
||||
uintptr_t ptr;
|
||||
char status;
|
||||
} PointerHashEntry;
|
||||
|
||||
#define SH_PREFIX pointerhash
|
||||
#define SH_ELEMENT_TYPE PointerHashEntry
|
||||
#define SH_KEY_TYPE uintptr_t
|
||||
#define SH_SCOPE extern
|
||||
#define SH_DECLARE
|
||||
#include "lib/simplehash.h"
|
||||
|
||||
#endif
|
||||
|
||||
751
src/hnswbuild.c
751
src/hnswbuild.c
@@ -2,16 +2,12 @@
|
||||
|
||||
#include <math.h>
|
||||
|
||||
#include "access/parallel.h"
|
||||
#include "access/xact.h"
|
||||
#include "catalog/index.h"
|
||||
#include "hnsw.h"
|
||||
#include "miscadmin.h"
|
||||
#include "lib/pairingheap.h"
|
||||
#include "nodes/pg_list.h"
|
||||
#include "storage/bufmgr.h"
|
||||
#include "tcop/tcopprot.h"
|
||||
#include "utils/datum.h"
|
||||
#include "utils/memutils.h"
|
||||
|
||||
#if PG_VERSION_NUM >= 140000
|
||||
@@ -39,27 +35,6 @@
|
||||
#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_HNSW_SHARED UINT64CONST(0xA000000000000001)
|
||||
#define PARALLEL_KEY_QUERY_TEXT UINT64CONST(0xA000000000000002)
|
||||
|
||||
#if PG_VERSION_NUM < 130000
|
||||
#define GENERATIONCHUNK_RAWSIZE (SIZEOF_SIZE_T + SIZEOF_VOID_P * 2)
|
||||
#endif
|
||||
|
||||
/*
|
||||
* Create the metapage
|
||||
*/
|
||||
@@ -70,11 +45,11 @@ CreateMetaPage(HnswBuildState * buildstate)
|
||||
ForkNumber forkNum = buildstate->forkNum;
|
||||
Buffer buf;
|
||||
Page page;
|
||||
GenericXLogState *state;
|
||||
HnswMetaPage metap;
|
||||
|
||||
buf = HnswNewBuffer(index, forkNum);
|
||||
page = BufferGetPage(buf);
|
||||
HnswInitPage(buf, page);
|
||||
HnswInitRegisterPage(index, &buf, &page, &state);
|
||||
|
||||
/* Set metapage data */
|
||||
metap = HnswPageGetMeta(page);
|
||||
@@ -90,15 +65,14 @@ CreateMetaPage(HnswBuildState * buildstate)
|
||||
((PageHeader) page)->pd_lower =
|
||||
((char *) metap + sizeof(HnswMetaPageData)) - (char *) page;
|
||||
|
||||
MarkBufferDirty(buf);
|
||||
UnlockReleaseBuffer(buf);
|
||||
HnswCommitBuffer(buf, state);
|
||||
}
|
||||
|
||||
/*
|
||||
* Add a new page
|
||||
*/
|
||||
static void
|
||||
HnswBuildAppendPage(Relation index, Buffer *buf, Page *page, ForkNumber forkNum)
|
||||
HnswBuildAppendPage(Relation index, Buffer *buf, Page *page, GenericXLogState **state, ForkNumber forkNum)
|
||||
{
|
||||
/* Add a new page */
|
||||
Buffer newbuf = HnswNewBuffer(index, forkNum);
|
||||
@@ -108,6 +82,7 @@ HnswBuildAppendPage(Relation index, Buffer *buf, Page *page, ForkNumber forkNum)
|
||||
|
||||
/* Commit */
|
||||
MarkBufferDirty(*buf);
|
||||
GenericXLogFinish(*state);
|
||||
UnlockReleaseBuffer(*buf);
|
||||
|
||||
/* Can take a while, so ensure we can interrupt */
|
||||
@@ -118,7 +93,8 @@ HnswBuildAppendPage(Relation index, Buffer *buf, Page *page, ForkNumber forkNum)
|
||||
|
||||
/* Prepare new page */
|
||||
*buf = newbuf;
|
||||
*page = BufferGetPage(*buf);
|
||||
*state = GenericXLogStart(index);
|
||||
*page = GenericXLogRegisterBuffer(*state, *buf, GENERIC_XLOG_FULL_IMAGE);
|
||||
HnswInitPage(*buf, *page);
|
||||
}
|
||||
|
||||
@@ -130,52 +106,46 @@ CreateElementPages(HnswBuildState * buildstate)
|
||||
{
|
||||
Relation index = buildstate->index;
|
||||
ForkNumber forkNum = buildstate->forkNum;
|
||||
Size etupAllocSize;
|
||||
int dimensions = buildstate->dimensions;
|
||||
Size etupSize;
|
||||
Size maxSize;
|
||||
HnswElementTuple etup;
|
||||
HnswNeighborTuple ntup;
|
||||
BlockNumber insertPage;
|
||||
Buffer buf;
|
||||
Page page;
|
||||
slist_iter iter;
|
||||
GenericXLogState *state;
|
||||
ListCell *lc;
|
||||
|
||||
/* Calculate sizes */
|
||||
etupAllocSize = BLCKSZ;
|
||||
maxSize = HNSW_MAX_SIZE;
|
||||
maxSize = BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(HnswPageOpaqueData));
|
||||
etupSize = HNSW_ELEMENT_TUPLE_SIZE(dimensions);
|
||||
|
||||
/* Allocate once */
|
||||
etup = palloc0(etupAllocSize);
|
||||
ntup = palloc0(BLCKSZ);
|
||||
etup = palloc0(etupSize);
|
||||
ntup = palloc0(maxSize);
|
||||
|
||||
/* Prepare first page */
|
||||
buf = HnswNewBuffer(index, forkNum);
|
||||
page = BufferGetPage(buf);
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, GENERIC_XLOG_FULL_IMAGE);
|
||||
HnswInitPage(buf, page);
|
||||
|
||||
slist_foreach(iter, &buildstate->graph->elements)
|
||||
foreach(lc, buildstate->elements)
|
||||
{
|
||||
HnswElement element = slist_container(HnswElementData, next, iter.cur);
|
||||
Size etupSize;
|
||||
HnswElement element = lfirst(lc);
|
||||
Size ntupSize;
|
||||
Size combinedSize;
|
||||
|
||||
/* Zero memory for each element */
|
||||
MemSet(etup, 0, etupAllocSize);
|
||||
HnswSetElementTuple(etup, element);
|
||||
|
||||
/* Calculate sizes */
|
||||
etupSize = HNSW_ELEMENT_TUPLE_SIZE(VARSIZE_ANY(DatumGetPointer(element->value)));
|
||||
ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(element->level, buildstate->m);
|
||||
combinedSize = etupSize + ntupSize + sizeof(ItemIdData);
|
||||
|
||||
/* Initial size check */
|
||||
if (etupSize > etupAllocSize)
|
||||
elog(ERROR, "index tuple too large");
|
||||
|
||||
HnswSetElementTuple(etup, element);
|
||||
|
||||
/* Keep element and neighbors on the same page if possible */
|
||||
if (PageGetFreeSpace(page) < etupSize || (combinedSize <= maxSize && PageGetFreeSpace(page) < combinedSize))
|
||||
HnswBuildAppendPage(index, &buf, &page, forkNum);
|
||||
HnswBuildAppendPage(index, &buf, &page, &state, forkNum);
|
||||
|
||||
/* Calculate offsets */
|
||||
element->blkno = BufferGetBlockNumber(buf);
|
||||
@@ -199,7 +169,7 @@ CreateElementPages(HnswBuildState * buildstate)
|
||||
|
||||
/* Add new page if needed */
|
||||
if (PageGetFreeSpace(page) < ntupSize)
|
||||
HnswBuildAppendPage(index, &buf, &page, forkNum);
|
||||
HnswBuildAppendPage(index, &buf, &page, &state, forkNum);
|
||||
|
||||
/* Add placeholder for neighbors */
|
||||
if (PageAddItem(page, (Item) ntup, ntupSize, InvalidOffsetNumber, false, false) != element->neighborOffno)
|
||||
@@ -210,9 +180,10 @@ CreateElementPages(HnswBuildState * buildstate)
|
||||
|
||||
/* Commit */
|
||||
MarkBufferDirty(buf);
|
||||
GenericXLogFinish(state);
|
||||
UnlockReleaseBuffer(buf);
|
||||
|
||||
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_ALWAYS, buildstate->graph->entryPoint, insertPage, forkNum, true);
|
||||
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_ALWAYS, buildstate->entryPoint, insertPage, forkNum);
|
||||
|
||||
pfree(etup);
|
||||
pfree(ntup);
|
||||
@@ -227,17 +198,18 @@ CreateNeighborPages(HnswBuildState * buildstate)
|
||||
Relation index = buildstate->index;
|
||||
ForkNumber forkNum = buildstate->forkNum;
|
||||
int m = buildstate->m;
|
||||
slist_iter iter;
|
||||
ListCell *lc;
|
||||
HnswNeighborTuple ntup;
|
||||
|
||||
/* Allocate once */
|
||||
ntup = palloc0(BLCKSZ);
|
||||
|
||||
slist_foreach(iter, &buildstate->graph->elements)
|
||||
foreach(lc, buildstate->elements)
|
||||
{
|
||||
HnswElement e = slist_container(HnswElementData, next, iter.cur);
|
||||
HnswElement e = lfirst(lc);
|
||||
Buffer buf;
|
||||
Page page;
|
||||
GenericXLogState *state;
|
||||
Size ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(e->level, m);
|
||||
|
||||
/* Can take a while, so ensure we can interrupt */
|
||||
@@ -246,7 +218,8 @@ CreateNeighborPages(HnswBuildState * buildstate)
|
||||
|
||||
buf = ReadBufferExtended(index, forkNum, e->neighborPage, RBM_NORMAL, NULL);
|
||||
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
|
||||
page = BufferGetPage(buf);
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
|
||||
HnswSetNeighborTuple(ntup, e, m);
|
||||
|
||||
@@ -255,29 +228,26 @@ CreateNeighborPages(HnswBuildState * buildstate)
|
||||
|
||||
/* Commit */
|
||||
MarkBufferDirty(buf);
|
||||
GenericXLogFinish(state);
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
|
||||
pfree(ntup);
|
||||
}
|
||||
|
||||
#ifdef HNSW_MEMORY
|
||||
/*
|
||||
* Show memory usage
|
||||
* Free elements
|
||||
*/
|
||||
static void
|
||||
ShowMemoryUsage(HnswBuildState * buildstate)
|
||||
FreeElements(HnswBuildState * buildstate)
|
||||
{
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
elog(INFO, "graph memory: %zu MB, total memory: %zu MB",
|
||||
MemoryContextMemAllocated(buildstate->graphCtx, false) / (1024 * 1024),
|
||||
MemoryContextMemAllocated(CurrentMemoryContext, true) / (1024 * 1024));
|
||||
#else
|
||||
MemoryContextStats(CurrentMemoryContext);
|
||||
elog(INFO, "estimated memory: %zu MB", buildstate->memoryUsed / (1024 * 1024));
|
||||
#endif
|
||||
ListCell *lc;
|
||||
|
||||
foreach(lc, buildstate->elements)
|
||||
HnswFreeElement(lfirst(lc));
|
||||
|
||||
list_free(buildstate->elements);
|
||||
}
|
||||
#endif
|
||||
|
||||
/*
|
||||
* Flush pages
|
||||
@@ -285,78 +255,25 @@ ShowMemoryUsage(HnswBuildState * buildstate)
|
||||
static void
|
||||
FlushPages(HnswBuildState * buildstate)
|
||||
{
|
||||
#ifdef HNSW_MEMORY
|
||||
ShowMemoryUsage(buildstate);
|
||||
#endif
|
||||
|
||||
CreateMetaPage(buildstate);
|
||||
CreateElementPages(buildstate);
|
||||
CreateNeighborPages(buildstate);
|
||||
|
||||
buildstate->graph->flushed = true;
|
||||
MemoryContextReset(buildstate->graphCtx);
|
||||
buildstate->flushed = true;
|
||||
FreeElements(buildstate);
|
||||
}
|
||||
|
||||
#if PG_VERSION_NUM < 130000
|
||||
/*
|
||||
* Get the memory used by an element
|
||||
*/
|
||||
static long
|
||||
HnswElementMemory(HnswElement e, int m)
|
||||
{
|
||||
long elementSize = sizeof(HnswElementData);
|
||||
|
||||
elementSize += sizeof(HnswNeighborArray) * (e->level + 1);
|
||||
elementSize += sizeof(HnswCandidate) * (m * (e->level + 2));
|
||||
elementSize += VARSIZE_ANY(DatumGetPointer(e->value));
|
||||
/* Each allocation has a chunk header */
|
||||
elementSize += (e->level + 4) * GENERATIONCHUNK_RAWSIZE;
|
||||
/* Add an extra 5% for alignment and other overhead */
|
||||
return elementSize * 1.05;
|
||||
}
|
||||
#endif
|
||||
|
||||
/*
|
||||
* Find duplicate element
|
||||
* Insert tuple
|
||||
*/
|
||||
static bool
|
||||
HnswFindDuplicateInMemory(HnswElement element)
|
||||
{
|
||||
HnswNeighborArray *neighbors = HnswGetNeighbors(element, 0);
|
||||
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
{
|
||||
HnswCandidate *neighbor = &neighbors->items[i];
|
||||
|
||||
/* Exit early since ordered by distance */
|
||||
if (!datumIsEqual(element->value, neighbor->element->value, false, -1))
|
||||
return false;
|
||||
|
||||
/* Check for space */
|
||||
if (neighbor->element->heaptidsLength < HNSW_HEAPTIDS)
|
||||
{
|
||||
HnswAddHeapTid(neighbor->element, &element->heaptids[0]);
|
||||
return true;
|
||||
}
|
||||
}
|
||||
|
||||
return false;
|
||||
}
|
||||
|
||||
/*
|
||||
* Insert tuple into in-memory graph
|
||||
*/
|
||||
static bool
|
||||
InsertTupleInMemory(Relation index, Datum *values, ItemPointer heaptid, HnswBuildState * buildstate)
|
||||
InsertTuple(Relation index, Datum *values, HnswElement element, HnswBuildState * buildstate, HnswElement * dup)
|
||||
{
|
||||
FmgrInfo *procinfo = buildstate->procinfo;
|
||||
Oid collation = buildstate->collation;
|
||||
HnswGraph *graph = buildstate->graph;
|
||||
HnswElement entryPoint = graph->entryPoint;
|
||||
HnswElement entryPoint = buildstate->entryPoint;
|
||||
int efConstruction = buildstate->efConstruction;
|
||||
int m = buildstate->m;
|
||||
MemoryContext oldCtx;
|
||||
HnswElement element;
|
||||
|
||||
/* Detoast once for all calls */
|
||||
Datum value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
|
||||
@@ -368,67 +285,35 @@ InsertTupleInMemory(Relation index, Datum *values, ItemPointer heaptid, HnswBuil
|
||||
return false;
|
||||
}
|
||||
|
||||
/* Allocate element in graph memory context */
|
||||
oldCtx = MemoryContextSwitchTo(buildstate->graphCtx);
|
||||
element = HnswInitElement(heaptid, buildstate->m, buildstate->ml, buildstate->maxLevel);
|
||||
element->value = datumCopy(value, false, -1);
|
||||
MemoryContextSwitchTo(oldCtx);
|
||||
|
||||
/* Update memory usage */
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
graph->memoryUsed = MemoryContextMemAllocated(buildstate->graphCtx, false);
|
||||
#else
|
||||
graph->memoryUsed += HnswElementMemory(element, buildstate->m);
|
||||
#endif
|
||||
/* Copy value to element so accessible outside of memory context */
|
||||
memcpy(element->vec, DatumGetVector(value), VECTOR_SIZE(buildstate->dimensions));
|
||||
|
||||
/* Insert element in graph */
|
||||
HnswInsertElement(element, entryPoint, NULL, procinfo, collation, m, efConstruction, false);
|
||||
|
||||
/* Look for duplicate */
|
||||
if (HnswFindDuplicateInMemory(element))
|
||||
*dup = HnswFindDuplicate(element);
|
||||
|
||||
/* Update neighbors if needed */
|
||||
if (*dup == NULL)
|
||||
{
|
||||
/* No need to free element since memory unlikely to be reallocated */
|
||||
return true;
|
||||
}
|
||||
for (int lc = element->level; lc >= 0; lc--)
|
||||
{
|
||||
int lm = HnswGetLayerM(m, lc);
|
||||
HnswNeighborArray *neighbors = &element->neighbors[lc];
|
||||
|
||||
/* Add element */
|
||||
slist_push_head(&graph->elements, &element->next);
|
||||
|
||||
/* Update neighbors */
|
||||
for (int lc = element->level; lc >= 0; lc--)
|
||||
{
|
||||
int lm = HnswGetLayerM(m, lc);
|
||||
HnswNeighborArray *neighbors = HnswGetNeighbors(element, lc);
|
||||
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
HnswUpdateConnection(element, &neighbors->items[i], lm, lc, NULL, NULL, procinfo, collation);
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
HnswUpdateConnection(element, &neighbors->items[i], lm, lc, NULL, NULL, procinfo, collation);
|
||||
}
|
||||
}
|
||||
|
||||
/* Update entry point if needed */
|
||||
if (entryPoint == NULL || element->level > entryPoint->level)
|
||||
graph->entryPoint = element;
|
||||
if (*dup == NULL && (entryPoint == NULL || element->level > entryPoint->level))
|
||||
buildstate->entryPoint = element;
|
||||
|
||||
return true;
|
||||
}
|
||||
UpdateProgress(PROGRESS_CREATEIDX_TUPLES_DONE, ++buildstate->indtuples);
|
||||
|
||||
/*
|
||||
* Acquire a lock if needed
|
||||
*/
|
||||
static inline void
|
||||
HnswLockAcquire(HnswShared * hnswshared)
|
||||
{
|
||||
if (hnswshared)
|
||||
SpinLockAcquire(&hnswshared->mutex);
|
||||
}
|
||||
|
||||
/*
|
||||
* Release a lock if needed
|
||||
*/
|
||||
static inline void
|
||||
HnswLockRelease(HnswShared * hnswshared)
|
||||
{
|
||||
if (hnswshared)
|
||||
SpinLockRelease(&hnswshared->mutex);
|
||||
return *dup == NULL;
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -439,9 +324,9 @@ BuildCallback(Relation index, CALLBACK_ITEM_POINTER, Datum *values,
|
||||
bool *isnull, bool tupleIsAlive, void *state)
|
||||
{
|
||||
HnswBuildState *buildstate = (HnswBuildState *) state;
|
||||
HnswGraph *graph = buildstate->graph;
|
||||
HnswShared *hnswshared = buildstate->hnswshared;
|
||||
MemoryContext oldCtx;
|
||||
HnswElement element;
|
||||
HnswElement dup = NULL;
|
||||
bool inserted;
|
||||
|
||||
#if PG_VERSION_NUM < 130000
|
||||
@@ -452,50 +337,69 @@ BuildCallback(Relation index, CALLBACK_ITEM_POINTER, Datum *values,
|
||||
if (isnull[0])
|
||||
return;
|
||||
|
||||
/* Flush pages if needed */
|
||||
if (!graph->flushed && graph->memoryUsed >= graph->memoryTotal)
|
||||
if (buildstate->indtuples >= buildstate->maxInMemoryElements)
|
||||
{
|
||||
ereport(NOTICE,
|
||||
(errmsg("hnsw graph no longer fits into maintenance_work_mem after " INT64_FORMAT " tuples", (int64) graph->indtuples),
|
||||
errdetail("Building will take significantly more time."),
|
||||
errhint("Increase maintenance_work_mem to speed up builds.")));
|
||||
if (!buildstate->flushed)
|
||||
{
|
||||
ereport(NOTICE,
|
||||
(errmsg("hnsw graph no longer fits into maintenance_work_mem after " INT64_FORMAT " tuples", (int64) buildstate->indtuples),
|
||||
errdetail("Building will take significantly more time."),
|
||||
errhint("Increase maintenance_work_mem to speed up builds.")));
|
||||
|
||||
FlushPages(buildstate);
|
||||
FlushPages(buildstate);
|
||||
}
|
||||
|
||||
oldCtx = MemoryContextSwitchTo(buildstate->tmpCtx);
|
||||
|
||||
if (HnswInsertTuple(buildstate->index, values, isnull, tid, buildstate->heap))
|
||||
UpdateProgress(PROGRESS_CREATEIDX_TUPLES_DONE, ++buildstate->indtuples);
|
||||
|
||||
/* Reset memory context */
|
||||
MemoryContextSwitchTo(oldCtx);
|
||||
MemoryContextReset(buildstate->tmpCtx);
|
||||
|
||||
return;
|
||||
}
|
||||
|
||||
/* Allocate necessary memory outside of memory context */
|
||||
element = HnswInitElement(tid, buildstate->m, buildstate->ml, buildstate->maxLevel);
|
||||
element->vec = palloc(VECTOR_SIZE(buildstate->dimensions));
|
||||
|
||||
/* Use memory context since detoast can allocate */
|
||||
oldCtx = MemoryContextSwitchTo(buildstate->tmpCtx);
|
||||
|
||||
/* Insert tuple */
|
||||
if (graph->flushed)
|
||||
inserted = HnswInsertTuple(index, values, isnull, tid, buildstate->heap, true);
|
||||
else
|
||||
inserted = InsertTupleInMemory(index, values, tid, buildstate);
|
||||
|
||||
/* Update progress */
|
||||
if (inserted)
|
||||
{
|
||||
HnswLockAcquire(hnswshared);
|
||||
UpdateProgress(PROGRESS_CREATEIDX_TUPLES_DONE, ++graph->indtuples);
|
||||
HnswLockRelease(hnswshared);
|
||||
}
|
||||
inserted = InsertTuple(index, values, element, buildstate, &dup);
|
||||
|
||||
/* Reset memory context */
|
||||
MemoryContextSwitchTo(oldCtx);
|
||||
MemoryContextReset(buildstate->tmpCtx);
|
||||
|
||||
/* Add outside memory context */
|
||||
if (dup != NULL)
|
||||
HnswAddHeapTid(dup, tid);
|
||||
|
||||
/* Add to buildstate or free */
|
||||
if (inserted)
|
||||
buildstate->elements = lappend(buildstate->elements, element);
|
||||
else
|
||||
HnswFreeElement(element);
|
||||
}
|
||||
|
||||
/*
|
||||
* Initialize the graph
|
||||
* Get the max number of elements that fit into maintenance_work_mem
|
||||
*/
|
||||
static void
|
||||
InitGraph(HnswGraph * graph)
|
||||
static double
|
||||
HnswGetMaxInMemoryElements(int m, double ml, int dimensions)
|
||||
{
|
||||
slist_init(&graph->elements);
|
||||
graph->entryPoint = NULL;
|
||||
graph->memoryUsed = 0;
|
||||
graph->memoryTotal = maintenance_work_mem * 1024L;
|
||||
graph->flushed = false;
|
||||
graph->indtuples = 0;
|
||||
Size elementSize = sizeof(HnswElementData);
|
||||
double avgLevel = -log(0.5) * ml;
|
||||
|
||||
elementSize += sizeof(HnswNeighborArray) * (avgLevel + 1);
|
||||
elementSize += sizeof(HnswCandidate) * (m * (avgLevel + 2));
|
||||
elementSize += sizeof(ItemPointerData);
|
||||
elementSize += VECTOR_SIZE(dimensions);
|
||||
return (maintenance_work_mem * 1024L) / elementSize;
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -531,26 +435,19 @@ InitBuildState(HnswBuildState * buildstate, Relation heap, Relation index, Index
|
||||
buildstate->normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
|
||||
buildstate->collation = index->rd_indcollation[0];
|
||||
|
||||
InitGraph(&buildstate->graphData);
|
||||
buildstate->graph = &buildstate->graphData;
|
||||
buildstate->elements = NIL;
|
||||
buildstate->entryPoint = NULL;
|
||||
buildstate->ml = HnswGetMl(buildstate->m);
|
||||
buildstate->maxLevel = HnswGetMaxLevel(buildstate->m);
|
||||
buildstate->maxInMemoryElements = HnswGetMaxInMemoryElements(buildstate->m, buildstate->ml, buildstate->dimensions);
|
||||
buildstate->flushed = false;
|
||||
|
||||
/* Reuse for each tuple */
|
||||
buildstate->normvec = InitVector(buildstate->dimensions);
|
||||
|
||||
buildstate->graphCtx = GenerationContextCreate(CurrentMemoryContext,
|
||||
"Hnsw build graph context",
|
||||
#if PG_VERSION_NUM >= 150000
|
||||
1024 * 1024, 1024 * 1024,
|
||||
#endif
|
||||
1024 * 1024);
|
||||
buildstate->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
|
||||
"Hnsw build temporary context",
|
||||
ALLOCSET_DEFAULT_SIZES);
|
||||
|
||||
buildstate->hnswleader = NULL;
|
||||
buildstate->hnswshared = NULL;
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -560,427 +457,26 @@ static void
|
||||
FreeBuildState(HnswBuildState * buildstate)
|
||||
{
|
||||
pfree(buildstate->normvec);
|
||||
MemoryContextDelete(buildstate->graphCtx);
|
||||
MemoryContextDelete(buildstate->tmpCtx);
|
||||
}
|
||||
|
||||
/*
|
||||
* Within leader, wait for end of heap scan
|
||||
*/
|
||||
static double
|
||||
ParallelHeapScan(HnswBuildState * buildstate)
|
||||
{
|
||||
HnswShared *hnswshared = buildstate->hnswleader->hnswshared;
|
||||
int nparticipanttuplesorts;
|
||||
double reltuples;
|
||||
|
||||
nparticipanttuplesorts = buildstate->hnswleader->nparticipanttuplesorts;
|
||||
for (;;)
|
||||
{
|
||||
SpinLockAcquire(&hnswshared->mutex);
|
||||
if (hnswshared->nparticipantsdone == nparticipanttuplesorts)
|
||||
{
|
||||
buildstate->graph = &hnswshared->graphData;
|
||||
reltuples = hnswshared->reltuples;
|
||||
SpinLockRelease(&hnswshared->mutex);
|
||||
break;
|
||||
}
|
||||
SpinLockRelease(&hnswshared->mutex);
|
||||
|
||||
ConditionVariableSleep(&hnswshared->workersdonecv,
|
||||
WAIT_EVENT_PARALLEL_CREATE_INDEX_SCAN);
|
||||
}
|
||||
|
||||
ConditionVariableCancelSleep();
|
||||
|
||||
return reltuples;
|
||||
}
|
||||
|
||||
/*
|
||||
* Perform a worker's portion of a parallel insert
|
||||
*/
|
||||
static void
|
||||
HnswParallelScanAndInsert(HnswSpool * hnswspool, HnswShared * hnswshared, bool progress)
|
||||
{
|
||||
HnswBuildState buildstate;
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
TableScanDesc scan;
|
||||
#else
|
||||
HeapScanDesc scan;
|
||||
#endif
|
||||
double reltuples;
|
||||
IndexInfo *indexInfo;
|
||||
|
||||
/* Join parallel scan */
|
||||
indexInfo = BuildIndexInfo(hnswspool->index);
|
||||
indexInfo->ii_Concurrent = hnswshared->isconcurrent;
|
||||
InitBuildState(&buildstate, hnswspool->heap, hnswspool->index, indexInfo, MAIN_FORKNUM);
|
||||
buildstate.graph = &hnswshared->graphData;
|
||||
buildstate.hnswshared = hnswshared;
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
scan = table_beginscan_parallel(hnswspool->heap,
|
||||
ParallelTableScanFromHnswShared(hnswshared));
|
||||
reltuples = table_index_build_scan(hnswspool->heap, hnswspool->index, indexInfo,
|
||||
true, progress, BuildCallback,
|
||||
(void *) &buildstate, scan);
|
||||
#else
|
||||
scan = heap_beginscan_parallel(hnswspool->heap, &hnswshared->heapdesc);
|
||||
reltuples = IndexBuildHeapScan(hnswspool->heap, hnswspool->index, indexInfo,
|
||||
true, BuildCallback,
|
||||
(void *) &buildstate, scan);
|
||||
#endif
|
||||
|
||||
/* Record statistics */
|
||||
SpinLockAcquire(&hnswshared->mutex);
|
||||
hnswshared->nparticipantsdone++;
|
||||
hnswshared->reltuples += reltuples;
|
||||
SpinLockRelease(&hnswshared->mutex);
|
||||
|
||||
/* Log statistics */
|
||||
if (progress)
|
||||
ereport(DEBUG1, (errmsg("leader processed " INT64_FORMAT " tuples", (int64) reltuples)));
|
||||
else
|
||||
ereport(DEBUG1, (errmsg("worker processed " INT64_FORMAT " tuples", (int64) reltuples)));
|
||||
|
||||
/* Notify leader */
|
||||
ConditionVariableSignal(&hnswshared->workersdonecv);
|
||||
|
||||
FreeBuildState(&buildstate);
|
||||
}
|
||||
|
||||
/*
|
||||
* Perform work within a launched parallel process
|
||||
*/
|
||||
void
|
||||
HnswParallelBuildMain(dsm_segment *seg, shm_toc *toc)
|
||||
{
|
||||
char *sharedquery;
|
||||
HnswSpool *hnswspool;
|
||||
HnswShared *hnswshared;
|
||||
Relation heapRel;
|
||||
Relation indexRel;
|
||||
LOCKMODE heapLockmode;
|
||||
LOCKMODE indexLockmode;
|
||||
|
||||
/* Set debug_query_string for individual workers first */
|
||||
sharedquery = shm_toc_lookup(toc, PARALLEL_KEY_QUERY_TEXT, true);
|
||||
debug_query_string = sharedquery;
|
||||
|
||||
/* Report the query string from leader */
|
||||
pgstat_report_activity(STATE_RUNNING, debug_query_string);
|
||||
|
||||
/* Look up shared state */
|
||||
hnswshared = shm_toc_lookup(toc, PARALLEL_KEY_HNSW_SHARED, false);
|
||||
|
||||
/* Open relations using lock modes known to be obtained by index.c */
|
||||
if (!hnswshared->isconcurrent)
|
||||
{
|
||||
heapLockmode = ShareLock;
|
||||
indexLockmode = AccessExclusiveLock;
|
||||
}
|
||||
else
|
||||
{
|
||||
heapLockmode = ShareUpdateExclusiveLock;
|
||||
indexLockmode = RowExclusiveLock;
|
||||
}
|
||||
|
||||
/* Open relations within worker */
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
heapRel = table_open(hnswshared->heaprelid, heapLockmode);
|
||||
#else
|
||||
heapRel = heap_open(hnswshared->heaprelid, heapLockmode);
|
||||
#endif
|
||||
indexRel = index_open(hnswshared->indexrelid, indexLockmode);
|
||||
|
||||
/* Initialize worker's own spool */
|
||||
hnswspool = (HnswSpool *) palloc0(sizeof(HnswSpool));
|
||||
hnswspool->heap = heapRel;
|
||||
hnswspool->index = indexRel;
|
||||
|
||||
/* Perform inserts */
|
||||
HnswParallelScanAndInsert(hnswspool, hnswshared, false);
|
||||
|
||||
/* Close relations within worker */
|
||||
index_close(indexRel, indexLockmode);
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
table_close(heapRel, heapLockmode);
|
||||
#else
|
||||
heap_close(heapRel, heapLockmode);
|
||||
#endif
|
||||
}
|
||||
|
||||
/*
|
||||
* End parallel build
|
||||
*/
|
||||
static void
|
||||
HnswEndParallel(HnswLeader * hnswleader)
|
||||
{
|
||||
/* Shutdown worker processes */
|
||||
WaitForParallelWorkersToFinish(hnswleader->pcxt);
|
||||
|
||||
/* Free last reference to MVCC snapshot, if one was used */
|
||||
if (IsMVCCSnapshot(hnswleader->snapshot))
|
||||
UnregisterSnapshot(hnswleader->snapshot);
|
||||
DestroyParallelContext(hnswleader->pcxt);
|
||||
ExitParallelMode();
|
||||
}
|
||||
|
||||
/*
|
||||
* Return size of shared memory required for parallel index build
|
||||
*/
|
||||
static Size
|
||||
ParallelEstimateShared(Relation heap, Snapshot snapshot)
|
||||
{
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
return add_size(BUFFERALIGN(sizeof(HnswShared)), table_parallelscan_estimate(heap, snapshot));
|
||||
#else
|
||||
if (!IsMVCCSnapshot(snapshot))
|
||||
{
|
||||
Assert(snapshot == SnapshotAny);
|
||||
return sizeof(HnswShared);
|
||||
}
|
||||
|
||||
return add_size(offsetof(HnswShared, heapdesc) +
|
||||
offsetof(ParallelHeapScanDescData, phs_snapshot_data),
|
||||
EstimateSnapshotSpace(snapshot));
|
||||
#endif
|
||||
}
|
||||
|
||||
/*
|
||||
* Within leader, participate as a parallel worker
|
||||
*/
|
||||
static void
|
||||
HnswLeaderParticipateAsWorker(HnswBuildState * buildstate)
|
||||
{
|
||||
HnswLeader *hnswleader = buildstate->hnswleader;
|
||||
HnswSpool *leaderworker;
|
||||
|
||||
/* Allocate memory and initialize private spool */
|
||||
leaderworker = (HnswSpool *) palloc0(sizeof(HnswSpool));
|
||||
leaderworker->heap = buildstate->heap;
|
||||
leaderworker->index = buildstate->index;
|
||||
|
||||
/* Perform work common to all participants */
|
||||
HnswParallelScanAndInsert(leaderworker, hnswleader->hnswshared, true);
|
||||
}
|
||||
|
||||
/*
|
||||
* Begin parallel build
|
||||
*/
|
||||
static void
|
||||
HnswBeginParallel(HnswBuildState * buildstate, bool isconcurrent, int request)
|
||||
{
|
||||
ParallelContext *pcxt;
|
||||
int scantuplesortstates;
|
||||
Snapshot snapshot;
|
||||
Size esthnswshared;
|
||||
HnswShared *hnswshared;
|
||||
HnswLeader *hnswleader = (HnswLeader *) palloc0(sizeof(HnswLeader));
|
||||
bool leaderparticipates = true;
|
||||
int querylen;
|
||||
|
||||
#ifdef DISABLE_LEADER_PARTICIPATION
|
||||
leaderparticipates = false;
|
||||
#endif
|
||||
|
||||
/* Enter parallel mode and create context */
|
||||
EnterParallelMode();
|
||||
Assert(request > 0);
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
pcxt = CreateParallelContext("vector", "HnswParallelBuildMain", request);
|
||||
#else
|
||||
pcxt = CreateParallelContext("vector", "HnswParallelBuildMain", request, true);
|
||||
#endif
|
||||
|
||||
scantuplesortstates = leaderparticipates ? request + 1 : request;
|
||||
|
||||
/* Get snapshot for table scan */
|
||||
if (!isconcurrent)
|
||||
snapshot = SnapshotAny;
|
||||
else
|
||||
snapshot = RegisterSnapshot(GetTransactionSnapshot());
|
||||
|
||||
/* Estimate size of workspaces */
|
||||
esthnswshared = ParallelEstimateShared(buildstate->heap, snapshot);
|
||||
shm_toc_estimate_chunk(&pcxt->estimator, esthnswshared);
|
||||
shm_toc_estimate_keys(&pcxt->estimator, 1);
|
||||
|
||||
/* Finally, estimate PARALLEL_KEY_QUERY_TEXT space */
|
||||
if (debug_query_string)
|
||||
{
|
||||
querylen = strlen(debug_query_string);
|
||||
shm_toc_estimate_chunk(&pcxt->estimator, querylen + 1);
|
||||
shm_toc_estimate_keys(&pcxt->estimator, 1);
|
||||
}
|
||||
else
|
||||
querylen = 0; /* keep compiler quiet */
|
||||
|
||||
/* Everyone's had a chance to ask for space, so now create the DSM */
|
||||
InitializeParallelDSM(pcxt);
|
||||
|
||||
/* If no DSM segment was available, back out (do serial build) */
|
||||
if (pcxt->seg == NULL)
|
||||
{
|
||||
if (IsMVCCSnapshot(snapshot))
|
||||
UnregisterSnapshot(snapshot);
|
||||
DestroyParallelContext(pcxt);
|
||||
ExitParallelMode();
|
||||
return;
|
||||
}
|
||||
|
||||
/* Store shared build state, for which we reserved space */
|
||||
hnswshared = (HnswShared *) shm_toc_allocate(pcxt->toc, esthnswshared);
|
||||
/* Initialize immutable state */
|
||||
hnswshared->heaprelid = RelationGetRelid(buildstate->heap);
|
||||
hnswshared->indexrelid = RelationGetRelid(buildstate->index);
|
||||
hnswshared->isconcurrent = isconcurrent;
|
||||
hnswshared->scantuplesortstates = scantuplesortstates;
|
||||
ConditionVariableInit(&hnswshared->workersdonecv);
|
||||
SpinLockInit(&hnswshared->mutex);
|
||||
/* Initialize mutable state */
|
||||
hnswshared->nparticipantsdone = 0;
|
||||
hnswshared->reltuples = 0;
|
||||
InitGraph(&hnswshared->graphData);
|
||||
/* TODO Support in-memory builds */
|
||||
hnswshared->graphData.memoryTotal = 0;
|
||||
hnswshared->graphData.flushed = true;
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
table_parallelscan_initialize(buildstate->heap,
|
||||
ParallelTableScanFromHnswShared(hnswshared),
|
||||
snapshot);
|
||||
#else
|
||||
heap_parallelscan_initialize(&hnswshared->heapdesc, buildstate->heap, snapshot);
|
||||
#endif
|
||||
|
||||
shm_toc_insert(pcxt->toc, PARALLEL_KEY_HNSW_SHARED, hnswshared);
|
||||
|
||||
/* Store query string for workers */
|
||||
if (debug_query_string)
|
||||
{
|
||||
char *sharedquery;
|
||||
|
||||
sharedquery = (char *) shm_toc_allocate(pcxt->toc, querylen + 1);
|
||||
memcpy(sharedquery, debug_query_string, querylen + 1);
|
||||
shm_toc_insert(pcxt->toc, PARALLEL_KEY_QUERY_TEXT, sharedquery);
|
||||
}
|
||||
|
||||
/* Launch workers, saving status for leader/caller */
|
||||
LaunchParallelWorkers(pcxt);
|
||||
hnswleader->pcxt = pcxt;
|
||||
hnswleader->nparticipanttuplesorts = pcxt->nworkers_launched;
|
||||
if (leaderparticipates)
|
||||
hnswleader->nparticipanttuplesorts++;
|
||||
hnswleader->hnswshared = hnswshared;
|
||||
hnswleader->snapshot = snapshot;
|
||||
|
||||
/* If no workers were successfully launched, back out (do serial build) */
|
||||
if (pcxt->nworkers_launched == 0)
|
||||
{
|
||||
HnswEndParallel(hnswleader);
|
||||
return;
|
||||
}
|
||||
|
||||
/* Log participants */
|
||||
ereport(DEBUG1, (errmsg("using %d parallel workers", pcxt->nworkers_launched)));
|
||||
|
||||
/* Save leader state now that it's clear build will be parallel */
|
||||
buildstate->hnswleader = hnswleader;
|
||||
|
||||
/* Join heap scan ourselves */
|
||||
if (leaderparticipates)
|
||||
HnswLeaderParticipateAsWorker(buildstate);
|
||||
|
||||
/* Wait for all launched workers */
|
||||
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;
|
||||
}
|
||||
|
||||
/*
|
||||
* Build graph
|
||||
*/
|
||||
static void
|
||||
BuildGraph(HnswBuildState * buildstate, ForkNumber forkNum)
|
||||
{
|
||||
int parallel_workers = 0;
|
||||
|
||||
UpdateProgress(PROGRESS_CREATEIDX_SUBPHASE, PROGRESS_HNSW_PHASE_LOAD);
|
||||
|
||||
/* Calculate parallel workers */
|
||||
if (buildstate->heap != NULL && hnsw_enable_parallel_build)
|
||||
parallel_workers = ComputeParallelWorkers(buildstate->heap, buildstate->index);
|
||||
|
||||
/* Attempt to launch parallel worker scan when required */
|
||||
if (parallel_workers > 0)
|
||||
{
|
||||
/* TODO Support in-memory builds */
|
||||
FlushPages(buildstate);
|
||||
HnswBeginParallel(buildstate, buildstate->indexInfo->ii_Concurrent, parallel_workers);
|
||||
}
|
||||
|
||||
/* Add tuples to graph */
|
||||
if (buildstate->heap != NULL)
|
||||
{
|
||||
if (buildstate->hnswleader)
|
||||
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);
|
||||
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);
|
||||
buildstate->reltuples = IndexBuildHeapScan(buildstate->heap, buildstate->index, buildstate->indexInfo,
|
||||
true, BuildCallback, (void *) buildstate, NULL);
|
||||
#endif
|
||||
}
|
||||
|
||||
buildstate->indtuples = buildstate->graph->indtuples;
|
||||
}
|
||||
|
||||
/* Flush pages */
|
||||
if (!buildstate->graph->flushed)
|
||||
FlushPages(buildstate);
|
||||
|
||||
/* End parallel build */
|
||||
if (buildstate->hnswleader)
|
||||
HnswEndParallel(buildstate->hnswleader);
|
||||
}
|
||||
|
||||
#if PG_VERSION_NUM < 110008
|
||||
void
|
||||
log_newpage_range(Relation rel, ForkNumber forkNum, BlockNumber startblk, BlockNumber endblk, bool page_std)
|
||||
{
|
||||
for (BlockNumber blkno = startblk; blkno < endblk; blkno++)
|
||||
{
|
||||
Buffer buf = ReadBufferExtended(rel, forkNum, blkno, RBM_NORMAL, NULL);
|
||||
|
||||
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
|
||||
MarkBufferDirty(buf);
|
||||
log_newpage_buffer(buf, page_std);
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
}
|
||||
#endif
|
||||
|
||||
/*
|
||||
* Build the index
|
||||
*/
|
||||
@@ -988,16 +484,13 @@ static void
|
||||
BuildIndex(Relation heap, Relation index, IndexInfo *indexInfo,
|
||||
HnswBuildState * buildstate, ForkNumber forkNum)
|
||||
{
|
||||
#ifdef HNSW_MEMORY
|
||||
SeedRandom(42);
|
||||
#endif
|
||||
|
||||
InitBuildState(buildstate, heap, index, indexInfo, forkNum);
|
||||
|
||||
BuildGraph(buildstate, forkNum);
|
||||
if (buildstate->heap != NULL)
|
||||
BuildGraph(buildstate, forkNum);
|
||||
|
||||
if (RelationNeedsWAL(index))
|
||||
log_newpage_range(index, forkNum, 0, RelationGetNumberOfBlocks(index), true);
|
||||
if (!buildstate->flushed)
|
||||
FlushPages(buildstate);
|
||||
|
||||
FreeBuildState(buildstate);
|
||||
}
|
||||
|
||||
187
src/hnswinsert.c
187
src/hnswinsert.c
@@ -5,7 +5,6 @@
|
||||
#include "hnsw.h"
|
||||
#include "storage/bufmgr.h"
|
||||
#include "storage/lmgr.h"
|
||||
#include "utils/datum.h"
|
||||
#include "utils/memutils.h"
|
||||
|
||||
/*
|
||||
@@ -93,7 +92,7 @@ HnswFreeOffset(Relation index, Buffer buf, Page page, HnswElement element, Size
|
||||
* Add a new page
|
||||
*/
|
||||
static void
|
||||
HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState *state, Page page, bool building)
|
||||
HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState *state, Page page)
|
||||
{
|
||||
/* Add a new page */
|
||||
LockRelationForExtension(index, ExclusiveLock);
|
||||
@@ -101,11 +100,7 @@ HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState
|
||||
UnlockRelationForExtension(index, ExclusiveLock);
|
||||
|
||||
/* Init new page */
|
||||
if (building)
|
||||
*npage = BufferGetPage(*nbuf);
|
||||
else
|
||||
*npage = GenericXLogRegisterBuffer(state, *nbuf, GENERIC_XLOG_FULL_IMAGE);
|
||||
|
||||
*npage = GenericXLogRegisterBuffer(state, *nbuf, GENERIC_XLOG_FULL_IMAGE);
|
||||
HnswInitPage(*nbuf, *npage);
|
||||
|
||||
/* Update previous buffer */
|
||||
@@ -116,7 +111,7 @@ HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState
|
||||
* Add to element and neighbor pages
|
||||
*/
|
||||
static void
|
||||
WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPage, BlockNumber *updatedInsertPage, bool building)
|
||||
WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPage, BlockNumber *updatedInsertPage)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
@@ -128,6 +123,7 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
|
||||
Size minCombinedSize;
|
||||
HnswElementTuple etup;
|
||||
BlockNumber currentPage = insertPage;
|
||||
int dimensions = e->vec->dim;
|
||||
HnswNeighborTuple ntup;
|
||||
Buffer nbuf;
|
||||
Page npage;
|
||||
@@ -136,10 +132,10 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
|
||||
BlockNumber newInsertPage = InvalidBlockNumber;
|
||||
|
||||
/* Calculate sizes */
|
||||
etupSize = HNSW_ELEMENT_TUPLE_SIZE(VARSIZE_ANY(DatumGetPointer(e->value)));
|
||||
etupSize = HNSW_ELEMENT_TUPLE_SIZE(dimensions);
|
||||
ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(e->level, m);
|
||||
combinedSize = etupSize + ntupSize + sizeof(ItemIdData);
|
||||
maxSize = HNSW_MAX_SIZE;
|
||||
maxSize = BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(HnswPageOpaqueData));
|
||||
minCombinedSize = etupSize + HNSW_NEIGHBOR_TUPLE_SIZE(0, m) + sizeof(ItemIdData);
|
||||
|
||||
/* Prepare element tuple */
|
||||
@@ -156,16 +152,8 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
|
||||
buf = ReadBuffer(index, currentPage);
|
||||
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
|
||||
|
||||
if (building)
|
||||
{
|
||||
state = NULL;
|
||||
page = BufferGetPage(buf);
|
||||
}
|
||||
else
|
||||
{
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
}
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
|
||||
/* Keep track of first page where element at level 0 can fit */
|
||||
if (!BlockNumberIsValid(newInsertPage) && PageGetFreeSpace(page) >= minCombinedSize)
|
||||
@@ -185,12 +173,7 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
|
||||
if (HnswFreeOffset(index, buf, page, e, ntupSize, &nbuf, &npage, &freeOffno, &freeNeighborOffno, &newInsertPage))
|
||||
{
|
||||
if (nbuf != buf)
|
||||
{
|
||||
if (building)
|
||||
npage = BufferGetPage(nbuf);
|
||||
else
|
||||
npage = GenericXLogRegisterBuffer(state, nbuf, 0);
|
||||
}
|
||||
npage = GenericXLogRegisterBuffer(state, nbuf, 0);
|
||||
|
||||
break;
|
||||
}
|
||||
@@ -199,7 +182,7 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
|
||||
/* Skip if both tuples can fit on the same page */
|
||||
if (combinedSize > maxSize && PageGetFreeSpace(page) >= etupSize && !BlockNumberIsValid(HnswPageGetOpaque(page)->nextblkno))
|
||||
{
|
||||
HnswInsertAppendPage(index, &nbuf, &npage, state, page, building);
|
||||
HnswInsertAppendPage(index, &nbuf, &npage, state, page);
|
||||
break;
|
||||
}
|
||||
|
||||
@@ -208,8 +191,7 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
|
||||
if (BlockNumberIsValid(currentPage))
|
||||
{
|
||||
/* Move to next page */
|
||||
if (!building)
|
||||
GenericXLogAbort(state);
|
||||
GenericXLogAbort(state);
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
else
|
||||
@@ -217,33 +199,24 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
|
||||
Buffer newbuf;
|
||||
Page newpage;
|
||||
|
||||
HnswInsertAppendPage(index, &newbuf, &newpage, state, page, building);
|
||||
HnswInsertAppendPage(index, &newbuf, &newpage, state, page);
|
||||
|
||||
/* Commit */
|
||||
if (building)
|
||||
MarkBufferDirty(buf);
|
||||
else
|
||||
GenericXLogFinish(state);
|
||||
MarkBufferDirty(newbuf);
|
||||
MarkBufferDirty(buf);
|
||||
GenericXLogFinish(state);
|
||||
|
||||
/* Unlock previous buffer */
|
||||
UnlockReleaseBuffer(buf);
|
||||
|
||||
/* Prepare new buffer */
|
||||
state = GenericXLogStart(index);
|
||||
buf = newbuf;
|
||||
if (building)
|
||||
{
|
||||
state = NULL;
|
||||
page = BufferGetPage(buf);
|
||||
}
|
||||
else
|
||||
{
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
}
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
|
||||
/* Create new page for neighbors if needed */
|
||||
if (PageGetFreeSpace(page) < combinedSize)
|
||||
HnswInsertAppendPage(index, &nbuf, &npage, state, page, building);
|
||||
HnswInsertAppendPage(index, &nbuf, &npage, state, page);
|
||||
else
|
||||
{
|
||||
nbuf = buf;
|
||||
@@ -297,14 +270,10 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
|
||||
}
|
||||
|
||||
/* Commit */
|
||||
if (building)
|
||||
{
|
||||
MarkBufferDirty(buf);
|
||||
if (nbuf != buf)
|
||||
MarkBufferDirty(nbuf);
|
||||
}
|
||||
else
|
||||
GenericXLogFinish(state);
|
||||
MarkBufferDirty(buf);
|
||||
if (nbuf != buf)
|
||||
MarkBufferDirty(nbuf);
|
||||
GenericXLogFinish(state);
|
||||
UnlockReleaseBuffer(buf);
|
||||
if (nbuf != buf)
|
||||
UnlockReleaseBuffer(nbuf);
|
||||
@@ -338,12 +307,12 @@ ConnectionExists(HnswElement e, HnswNeighborTuple ntup, int startIdx, int lm)
|
||||
* Update neighbors
|
||||
*/
|
||||
void
|
||||
HnswUpdateNeighborPages(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)
|
||||
{
|
||||
for (int lc = e->level; lc >= 0; lc--)
|
||||
{
|
||||
int lm = HnswGetLayerM(m, lc);
|
||||
HnswNeighborArray *neighbors = HnswGetNeighbors(e, lc);
|
||||
HnswNeighborArray *neighbors = &e->neighbors[lc];
|
||||
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
{
|
||||
@@ -379,16 +348,8 @@ HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswE
|
||||
/* Register page */
|
||||
buf = ReadBuffer(index, hc->element->neighborPage);
|
||||
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
|
||||
if (building)
|
||||
{
|
||||
state = NULL;
|
||||
page = BufferGetPage(buf);
|
||||
}
|
||||
else
|
||||
{
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
}
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
|
||||
/* Get tuple */
|
||||
itemid = PageGetItemId(page, offno);
|
||||
@@ -430,12 +391,10 @@ HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswE
|
||||
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
|
||||
|
||||
/* Commit */
|
||||
if (building)
|
||||
MarkBufferDirty(buf);
|
||||
else
|
||||
GenericXLogFinish(state);
|
||||
MarkBufferDirty(buf);
|
||||
GenericXLogFinish(state);
|
||||
}
|
||||
else if (!building)
|
||||
else
|
||||
GenericXLogAbort(state);
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
@@ -447,34 +406,23 @@ HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswE
|
||||
* Add a heap TID to an existing element
|
||||
*/
|
||||
static bool
|
||||
HnswAddDuplicate(Relation index, HnswElement element, HnswElement dup, bool building)
|
||||
HnswAddDuplicate(Relation index, HnswElement element, HnswElement dup)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
GenericXLogState *state;
|
||||
ItemId itemid;
|
||||
Size etupSize = HNSW_ELEMENT_TUPLE_SIZE(dup->vec->dim);
|
||||
HnswElementTuple etup;
|
||||
Size etupSize;
|
||||
int i;
|
||||
|
||||
/* Read page */
|
||||
buf = ReadBuffer(index, dup->blkno);
|
||||
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
|
||||
if (building)
|
||||
{
|
||||
state = NULL;
|
||||
page = BufferGetPage(buf);
|
||||
}
|
||||
else
|
||||
{
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
}
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
|
||||
/* Find space */
|
||||
itemid = PageGetItemId(page, dup->offno);
|
||||
etup = (HnswElementTuple) PageGetItem(page, itemid);
|
||||
etupSize = ItemIdGetLength(itemid);
|
||||
etup = (HnswElementTuple) PageGetItem(page, PageGetItemId(page, dup->offno));
|
||||
for (i = 0; i < HNSW_HEAPTIDS; i++)
|
||||
{
|
||||
if (!ItemPointerIsValid(&etup->heaptids[i]))
|
||||
@@ -484,84 +432,61 @@ HnswAddDuplicate(Relation index, HnswElement element, HnswElement dup, bool buil
|
||||
/* Either being deleted or we lost our chance to another backend */
|
||||
if (i == 0 || i == HNSW_HEAPTIDS)
|
||||
{
|
||||
if (!building)
|
||||
GenericXLogAbort(state);
|
||||
GenericXLogAbort(state);
|
||||
UnlockReleaseBuffer(buf);
|
||||
return false;
|
||||
}
|
||||
|
||||
/* Add heap TID */
|
||||
etup->heaptids[i] = element->heaptids[0];
|
||||
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
|
||||
GenericXLogFinish(state);
|
||||
MarkBufferDirty(buf);
|
||||
GenericXLogFinish(state);
|
||||
UnlockReleaseBuffer(buf);
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
/*
|
||||
* Find duplicate element
|
||||
*/
|
||||
static bool
|
||||
HnswFindDuplicate(Relation index, HnswElement element, bool building)
|
||||
{
|
||||
HnswNeighborArray *neighbors = HnswGetNeighbors(element, 0);
|
||||
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
{
|
||||
HnswCandidate *neighbor = &neighbors->items[i];
|
||||
|
||||
/* Exit early since ordered by distance */
|
||||
if (!datumIsEqual(element->value, neighbor->element->value, false, -1))
|
||||
return false;
|
||||
|
||||
if (HnswAddDuplicate(index, element, neighbor->element, building))
|
||||
return true;
|
||||
}
|
||||
|
||||
return false;
|
||||
}
|
||||
|
||||
/*
|
||||
* Write changes to disk
|
||||
*/
|
||||
static void
|
||||
WriteElement(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)
|
||||
{
|
||||
BlockNumber newInsertPage = InvalidBlockNumber;
|
||||
|
||||
/* Look for duplicate */
|
||||
if (HnswFindDuplicate(index, element, building))
|
||||
return;
|
||||
/* Try to add to existing page */
|
||||
if (dup != NULL)
|
||||
{
|
||||
if (HnswAddDuplicate(index, element, dup))
|
||||
return;
|
||||
}
|
||||
|
||||
/* Write element and neighbor tuples */
|
||||
WriteNewElementPages(index, element, m, GetInsertPage(index), &newInsertPage, building);
|
||||
WriteNewElementPages(index, element, m, GetInsertPage(index), &newInsertPage);
|
||||
|
||||
/* Update insert page if needed */
|
||||
if (BlockNumberIsValid(newInsertPage))
|
||||
HnswUpdateMetaPage(index, 0, NULL, newInsertPage, MAIN_FORKNUM, building);
|
||||
HnswUpdateMetaPage(index, 0, NULL, newInsertPage, MAIN_FORKNUM);
|
||||
|
||||
/* Update neighbors */
|
||||
HnswUpdateNeighborPages(index, procinfo, collation, element, m, false, building);
|
||||
HnswUpdateNeighborPages(index, procinfo, collation, element, m, false);
|
||||
|
||||
/* 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);
|
||||
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_GREATER, element, InvalidBlockNumber, MAIN_FORKNUM);
|
||||
}
|
||||
|
||||
/*
|
||||
* Insert a tuple into the index
|
||||
*/
|
||||
bool
|
||||
HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel, bool building)
|
||||
HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel)
|
||||
{
|
||||
Datum value;
|
||||
FmgrInfo *normprocinfo;
|
||||
@@ -571,6 +496,7 @@ HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_ti
|
||||
int efConstruction = HnswGetEfConstruction(index);
|
||||
FmgrInfo *procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
||||
Oid collation = index->rd_indcollation[0];
|
||||
HnswElement dup;
|
||||
LOCKMODE lockmode = ShareLock;
|
||||
|
||||
/* Detoast once for all calls */
|
||||
@@ -596,7 +522,7 @@ HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_ti
|
||||
|
||||
/* Create an element */
|
||||
element = HnswInitElement(heap_tid, m, HnswGetMl(m), HnswGetMaxLevel(m));
|
||||
element->value = value;
|
||||
element->vec = DatumGetVector(value);
|
||||
|
||||
/* Prevent concurrent inserts when likely updating entry point */
|
||||
if (entryPoint == NULL || element->level > entryPoint->level)
|
||||
@@ -615,8 +541,11 @@ HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_ti
|
||||
/* Insert element in graph */
|
||||
HnswInsertElement(element, entryPoint, index, procinfo, collation, m, efConstruction, false);
|
||||
|
||||
/* Look for duplicate */
|
||||
dup = HnswFindDuplicate(element);
|
||||
|
||||
/* Write to disk */
|
||||
WriteElement(index, procinfo, collation, element, m, efConstruction, entryPoint, building);
|
||||
WriteElement(index, procinfo, collation, element, m, efConstruction, dup, entryPoint);
|
||||
|
||||
/* Release lock */
|
||||
UnlockPage(index, HNSW_UPDATE_LOCK, lockmode);
|
||||
@@ -650,7 +579,7 @@ hnswinsert(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid,
|
||||
oldCtx = MemoryContextSwitchTo(insertCtx);
|
||||
|
||||
/* Insert tuple */
|
||||
HnswInsertTuple(index, values, isnull, heap_tid, heap, false);
|
||||
HnswInsertTuple(index, values, isnull, heap_tid, heap);
|
||||
|
||||
/* Delete memory context */
|
||||
MemoryContextSwitchTo(oldCtx);
|
||||
|
||||
@@ -113,6 +113,12 @@ hnswbeginscan(Relation index, int nkeys, int norderbys)
|
||||
|
||||
scan->opaque = so;
|
||||
|
||||
/*
|
||||
* Get a shared lock. This allows vacuum to ensure no in-flight scans
|
||||
* before marking tuples as deleted.
|
||||
*/
|
||||
LockPage(scan->indexRelation, HNSW_SCAN_LOCK, ShareLock);
|
||||
|
||||
return scan;
|
||||
}
|
||||
|
||||
@@ -160,25 +166,11 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
if (scan->orderByData == NULL)
|
||||
elog(ERROR, "cannot scan hnsw index without order");
|
||||
|
||||
/* Requires MVCC-compliant snapshot as not able to maintain a pin */
|
||||
/* https://www.postgresql.org/docs/current/index-locking.html */
|
||||
if (!IsMVCCSnapshot(scan->xs_snapshot))
|
||||
elog(ERROR, "non-MVCC snapshots are not supported with hnsw");
|
||||
|
||||
/* Get scan value */
|
||||
value = GetScanValue(scan);
|
||||
|
||||
/*
|
||||
* Get a shared lock. This allows vacuum to ensure no in-flight scans
|
||||
* before marking tuples as deleted.
|
||||
*/
|
||||
LockPage(scan->indexRelation, HNSW_SCAN_LOCK, ShareLock);
|
||||
|
||||
so->w = GetScanItems(scan, value);
|
||||
|
||||
/* Release shared lock */
|
||||
UnlockPage(scan->indexRelation, HNSW_SCAN_LOCK, ShareLock);
|
||||
|
||||
so->first = false;
|
||||
}
|
||||
|
||||
@@ -188,13 +180,15 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
ItemPointer heaptid;
|
||||
|
||||
/* Move to next element if no valid heap TIDs */
|
||||
if (hc->element->heaptidsLength == 0)
|
||||
if (list_length(hc->element->heaptids) == 0)
|
||||
{
|
||||
so->w = list_delete_last(so->w);
|
||||
continue;
|
||||
}
|
||||
|
||||
heaptid = &hc->element->heaptids[--hc->element->heaptidsLength];
|
||||
heaptid = llast(hc->element->heaptids);
|
||||
|
||||
hc->element->heaptids = list_delete_last(hc->element->heaptids);
|
||||
|
||||
MemoryContextSwitchTo(oldCtx);
|
||||
|
||||
@@ -204,6 +198,15 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
scan->xs_ctup.t_self = *heaptid;
|
||||
#endif
|
||||
|
||||
/*
|
||||
* Typically, an index scan must maintain a pin on the index page
|
||||
* holding the item last returned by amgettuple. However, this is not
|
||||
* needed with the current vacuum strategy, which ensures scans do not
|
||||
* visit tuples in danger of being marked as deleted.
|
||||
*
|
||||
* https://www.postgresql.org/docs/current/index-locking.html
|
||||
*/
|
||||
|
||||
scan->xs_recheckorderby = false;
|
||||
return true;
|
||||
}
|
||||
@@ -220,6 +223,9 @@ hnswendscan(IndexScanDesc scan)
|
||||
{
|
||||
HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
|
||||
|
||||
/* Release shared lock */
|
||||
UnlockPage(scan->indexRelation, HNSW_SCAN_LOCK, ShareLock);
|
||||
|
||||
MemoryContextDelete(so->tmpCtx);
|
||||
|
||||
pfree(so);
|
||||
|
||||
396
src/hnswutils.c
396
src/hnswutils.c
@@ -4,92 +4,8 @@
|
||||
|
||||
#include "hnsw.h"
|
||||
#include "storage/bufmgr.h"
|
||||
#include "utils/datum.h"
|
||||
#include "vector.h"
|
||||
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
#include "common/hashfn.h"
|
||||
#else
|
||||
#include "utils/hashutils.h"
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM < 170000
|
||||
static inline uint64
|
||||
murmurhash64(uint64 data)
|
||||
{
|
||||
uint64 h = data;
|
||||
|
||||
h ^= h >> 33;
|
||||
h *= 0xff51afd7ed558ccd;
|
||||
h ^= h >> 33;
|
||||
h *= 0xc4ceb9fe1a85ec53;
|
||||
h ^= h >> 33;
|
||||
|
||||
return h;
|
||||
}
|
||||
#endif
|
||||
|
||||
/* TID hash table */
|
||||
static uint32
|
||||
hash_tid(ItemPointerData tid)
|
||||
{
|
||||
union
|
||||
{
|
||||
uint64 i;
|
||||
ItemPointerData tid;
|
||||
} x;
|
||||
|
||||
/* Initialize unused bytes */
|
||||
x.i = 0;
|
||||
x.tid = tid;
|
||||
|
||||
return murmurhash64(x.i);
|
||||
}
|
||||
|
||||
#define SH_PREFIX tidhash
|
||||
#define SH_ELEMENT_TYPE TidHashEntry
|
||||
#define SH_KEY_TYPE ItemPointerData
|
||||
#define SH_KEY tid
|
||||
#define SH_HASH_KEY(tb, key) hash_tid(key)
|
||||
#define SH_EQUAL(tb, a, b) ItemPointerEquals(&a, &b)
|
||||
#define SH_SCOPE extern
|
||||
#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)
|
||||
{
|
||||
#if SIZEOF_VOID_P == 8
|
||||
return murmurhash64((uint64) ptr);
|
||||
#else
|
||||
return murmurhash32((uint32) ptr);
|
||||
#endif
|
||||
}
|
||||
|
||||
#define SH_PREFIX pointerhash
|
||||
#define SH_ELEMENT_TYPE PointerHashEntry
|
||||
#define SH_KEY_TYPE uintptr_t
|
||||
#define SH_KEY ptr
|
||||
#define SH_HASH_KEY(tb, key) hash_pointer(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;
|
||||
tidhash_hash *tids;
|
||||
} visited_hash;
|
||||
|
||||
/*
|
||||
* Get the max number of connections in an upper layer for each element in the index
|
||||
*/
|
||||
@@ -122,12 +38,12 @@ HnswGetEfConstruction(Relation index)
|
||||
* Get proc
|
||||
*/
|
||||
FmgrInfo *
|
||||
HnswOptionalProcInfo(Relation index, uint16 procnum)
|
||||
HnswOptionalProcInfo(Relation rel, uint16 procnum)
|
||||
{
|
||||
if (!OidIsValid(index_getprocid(index, 1, procnum)))
|
||||
if (!OidIsValid(index_getprocid(rel, 1, procnum)))
|
||||
return NULL;
|
||||
|
||||
return index_getprocinfo(index, 1, procnum);
|
||||
return index_getprocinfo(rel, 1, procnum);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -184,6 +100,28 @@ HnswInitPage(Buffer buf, Page page)
|
||||
HnswPageGetOpaque(page)->page_id = HNSW_PAGE_ID;
|
||||
}
|
||||
|
||||
/*
|
||||
* Init and register page
|
||||
*/
|
||||
void
|
||||
HnswInitRegisterPage(Relation index, Buffer *buf, Page *page, GenericXLogState **state)
|
||||
{
|
||||
*state = GenericXLogStart(index);
|
||||
*page = GenericXLogRegisterBuffer(*state, *buf, GENERIC_XLOG_FULL_IMAGE);
|
||||
HnswInitPage(*buf, *page);
|
||||
}
|
||||
|
||||
/*
|
||||
* Commit buffer
|
||||
*/
|
||||
void
|
||||
HnswCommitBuffer(Buffer buf, GenericXLogState *state)
|
||||
{
|
||||
MarkBufferDirty(buf);
|
||||
GenericXLogFinish(state);
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
|
||||
/*
|
||||
* Allocate neighbors
|
||||
*/
|
||||
@@ -202,7 +140,6 @@ HnswInitNeighbors(HnswElement element, int m)
|
||||
a = &element->neighbors[lc];
|
||||
a->length = 0;
|
||||
a->items = palloc(sizeof(HnswCandidate) * lm);
|
||||
a->closerSet = false;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -220,7 +157,7 @@ HnswInitElement(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;
|
||||
@@ -228,18 +165,33 @@ HnswInitElement(ItemPointer heaptid, int m, double ml, int maxLevel)
|
||||
|
||||
HnswInitNeighbors(element, m);
|
||||
|
||||
element->value = PointerGetDatum(NULL);
|
||||
|
||||
return element;
|
||||
}
|
||||
|
||||
/*
|
||||
* Free an element
|
||||
*/
|
||||
void
|
||||
HnswFreeElement(HnswElement element)
|
||||
{
|
||||
list_free_deep(element->heaptids);
|
||||
for (int lc = 0; lc <= element->level; lc++)
|
||||
pfree(element->neighbors[lc].items);
|
||||
pfree(element->neighbors);
|
||||
pfree(element->vec);
|
||||
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);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -253,7 +205,7 @@ HnswInitElementFromBlock(BlockNumber blkno, OffsetNumber offno)
|
||||
element->blkno = blkno;
|
||||
element->offno = offno;
|
||||
element->neighbors = NULL;
|
||||
element->value = PointerGetDatum(NULL);
|
||||
element->vec = NULL;
|
||||
return element;
|
||||
}
|
||||
|
||||
@@ -331,7 +283,7 @@ HnswUpdateMetaPageInfo(Page page, int updateEntry, HnswElement entryPoint, Block
|
||||
* Update the metapage
|
||||
*/
|
||||
void
|
||||
HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum, bool building)
|
||||
HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
@@ -339,24 +291,12 @@ HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, Bloc
|
||||
|
||||
buf = ReadBufferExtended(index, forkNum, HNSW_METAPAGE_BLKNO, RBM_NORMAL, NULL);
|
||||
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
|
||||
if (building)
|
||||
{
|
||||
state = NULL;
|
||||
page = BufferGetPage(buf);
|
||||
}
|
||||
else
|
||||
{
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
}
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
|
||||
HnswUpdateMetaPageInfo(page, updateEntry, entryPoint, insertPage);
|
||||
|
||||
if (building)
|
||||
MarkBufferDirty(buf);
|
||||
else
|
||||
GenericXLogFinish(state);
|
||||
UnlockReleaseBuffer(buf);
|
||||
HnswCommitBuffer(buf, state);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -370,12 +310,12 @@ HnswSetElementTuple(HnswElementTuple etup, HnswElement element)
|
||||
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, DatumGetPointer(element->value), VARSIZE_ANY(DatumGetPointer(element->value)));
|
||||
memcpy(&etup->vec, element->vec, VECTOR_SIZE(element->vec->dim));
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -390,7 +330,7 @@ HnswSetNeighborTuple(HnswNeighborTuple ntup, HnswElement e, int m)
|
||||
|
||||
for (int lc = e->level; lc >= 0; lc--)
|
||||
{
|
||||
HnswNeighborArray *neighbors = HnswGetNeighbors(e, lc);
|
||||
HnswNeighborArray *neighbors = &e->neighbors[lc];
|
||||
int lm = HnswGetLayerM(m, lc);
|
||||
|
||||
for (int i = 0; i < lm; i++)
|
||||
@@ -448,7 +388,7 @@ LoadNeighborsFromPage(HnswElement element, Relation index, Page page, int m)
|
||||
if (level < 0)
|
||||
level = 0;
|
||||
|
||||
neighbors = HnswGetNeighbors(element, level);
|
||||
neighbors = &element->neighbors[level];
|
||||
hc = &neighbors->items[neighbors->length++];
|
||||
hc->element = e;
|
||||
}
|
||||
@@ -482,7 +422,7 @@ 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)
|
||||
{
|
||||
@@ -497,7 +437,10 @@ HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHe
|
||||
}
|
||||
|
||||
if (loadVec)
|
||||
element->value = datumCopy(PointerGetDatum(&etup->data), false, -1);
|
||||
{
|
||||
element->vec = palloc(VECTOR_SIZE(etup->vec.dim));
|
||||
memcpy(element->vec, &etup->vec, VECTOR_SIZE(etup->vec.dim));
|
||||
}
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -524,7 +467,7 @@ HnswLoadElement(HnswElement element, float *distance, Datum *q, Relation index,
|
||||
|
||||
/* Calculate distance */
|
||||
if (distance != NULL)
|
||||
*distance = (float) DatumGetFloat8(FunctionCall2Coll(procinfo, collation, *q, PointerGetDatum(&etup->data)));
|
||||
*distance = (float) DatumGetFloat8(FunctionCall2Coll(procinfo, collation, *q, PointerGetDatum(&etup->vec)));
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
@@ -535,7 +478,7 @@ HnswLoadElement(HnswElement element, float *distance, Datum *q, Relation index,
|
||||
static float
|
||||
GetCandidateDistance(HnswCandidate * hc, Datum q, FmgrInfo *procinfo, Oid collation)
|
||||
{
|
||||
return DatumGetFloat8(FunctionCall2Coll(procinfo, collation, q, hc->element->value));
|
||||
return DatumGetFloat8(FunctionCall2Coll(procinfo, collation, q, PointerGetDatum(hc->element->vec)));
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -600,22 +543,16 @@ CreatePairingHeapNode(HnswCandidate * c)
|
||||
* Add to visited
|
||||
*/
|
||||
static inline void
|
||||
AddToVisited(visited_hash v, HnswCandidate * hc, Relation index, bool *found)
|
||||
AddToVisited(HTAB *v, HnswCandidate * hc, Relation index, bool *found)
|
||||
{
|
||||
if (index == NULL)
|
||||
{
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
pointerhash_insert_hash(v.pointers, (uintptr_t) hc->element, hc->element->hash, found);
|
||||
#else
|
||||
pointerhash_insert(v.pointers, (uintptr_t) hc->element, found);
|
||||
#endif
|
||||
}
|
||||
hash_search(v, &hc->element, HASH_ENTER, found);
|
||||
else
|
||||
{
|
||||
ItemPointerData indextid;
|
||||
|
||||
ItemPointerSet(&indextid, hc->element->blkno, hc->element->offno);
|
||||
tidhash_insert(v.tids, indextid, found);
|
||||
hash_search(v, &indextid, HASH_ENTER, found);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -625,26 +562,36 @@ AddToVisited(visited_hash v, HnswCandidate * hc, Relation index, bool *found)
|
||||
List *
|
||||
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;
|
||||
HASHCTL hash_ctl;
|
||||
HTAB *v;
|
||||
|
||||
/* Create hash table */
|
||||
if (index == NULL)
|
||||
v.pointers = pointerhash_create(CurrentMemoryContext, ef * m * 2, NULL);
|
||||
{
|
||||
hash_ctl.keysize = sizeof(HnswElement *);
|
||||
hash_ctl.entrysize = sizeof(HnswElement *);
|
||||
}
|
||||
else
|
||||
v.tids = tidhash_create(CurrentMemoryContext, ef * m * 2, NULL);
|
||||
{
|
||||
hash_ctl.keysize = sizeof(ItemPointerData);
|
||||
hash_ctl.entrysize = sizeof(ItemPointerData);
|
||||
}
|
||||
|
||||
hash_ctl.hcxt = CurrentMemoryContext;
|
||||
v = hash_create("hnsw visited", 256, &hash_ctl, HASH_ELEM | HASH_BLOBS | HASH_CONTEXT);
|
||||
|
||||
/* Add entry points to v, C, and W */
|
||||
foreach(lc2, ep)
|
||||
{
|
||||
HnswCandidate *hc = (HnswCandidate *) lfirst(lc2);
|
||||
bool found;
|
||||
|
||||
AddToVisited(v, hc, index, &found);
|
||||
AddToVisited(v, hc, index, NULL);
|
||||
|
||||
pairingheap_add(C, &(CreatePairingHeapNode(hc)->ph_node));
|
||||
pairingheap_add(W, &(CreatePairingHeapNode(hc)->ph_node));
|
||||
@@ -654,7 +601,7 @@ HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *pro
|
||||
* would be ideal to do this for inserts as well, but this could
|
||||
* affect insert performance.
|
||||
*/
|
||||
if (skipElement == NULL || hc->element->heaptidsLength != 0)
|
||||
if (skipElement == NULL || list_length(hc->element->heaptids) != 0)
|
||||
wlen++;
|
||||
}
|
||||
|
||||
@@ -671,7 +618,7 @@ HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *pro
|
||||
HnswLoadNeighbors(c->element, index, m);
|
||||
|
||||
/* Get the neighborhood at layer lc */
|
||||
neighborhood = HnswGetNeighbors(c->element, lc);
|
||||
neighborhood = &c->element->neighbors[lc];
|
||||
|
||||
for (int i = 0; i < neighborhood->length; i++)
|
||||
{
|
||||
@@ -713,7 +660,7 @@ HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *pro
|
||||
* vacuuming. It would be ideal to do this for inserts as
|
||||
* well, but this could affect insert performance.
|
||||
*/
|
||||
if (skipElement == NULL || e->element->heaptidsLength != 0)
|
||||
if (skipElement == NULL || list_length(e->element->heaptids) != 0)
|
||||
{
|
||||
wlen++;
|
||||
|
||||
@@ -737,34 +684,6 @@ HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *pro
|
||||
return w;
|
||||
}
|
||||
|
||||
/*
|
||||
* Compare candidate distances
|
||||
*/
|
||||
static int
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
CompareCandidateDistances(const ListCell *a, const ListCell *b)
|
||||
#else
|
||||
CompareCandidateDistances(const void *a, const void *b)
|
||||
#endif
|
||||
{
|
||||
HnswCandidate *hca = lfirst((ListCell *) a);
|
||||
HnswCandidate *hcb = lfirst((ListCell *) b);
|
||||
|
||||
if (hca->distance < hcb->distance)
|
||||
return 1;
|
||||
|
||||
if (hca->distance > hcb->distance)
|
||||
return -1;
|
||||
|
||||
if (hca->element < hcb->element)
|
||||
return 1;
|
||||
|
||||
if (hca->element > hcb->element)
|
||||
return -1;
|
||||
|
||||
return 0;
|
||||
}
|
||||
|
||||
/*
|
||||
* Calculate the distance between elements
|
||||
*/
|
||||
@@ -774,27 +693,27 @@ HnswGetDistance(HnswElement a, HnswElement b, int lc, FmgrInfo *procinfo, Oid co
|
||||
/* Look for cached distance */
|
||||
if (a->neighbors != NULL)
|
||||
{
|
||||
HnswNeighborArray *neighbors = HnswGetNeighbors(a, lc);
|
||||
Assert(a->level >= lc);
|
||||
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
for (int i = 0; i < a->neighbors[lc].length; i++)
|
||||
{
|
||||
if (neighbors->items[i].element == b)
|
||||
return neighbors->items[i].distance;
|
||||
if (a->neighbors[lc].items[i].element == b)
|
||||
return a->neighbors[lc].items[i].distance;
|
||||
}
|
||||
}
|
||||
|
||||
if (b->neighbors != NULL)
|
||||
{
|
||||
HnswNeighborArray *neighbors = HnswGetNeighbors(b, lc);
|
||||
Assert(b->level >= lc);
|
||||
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
for (int i = 0; i < b->neighbors[lc].length; i++)
|
||||
{
|
||||
if (neighbors->items[i].element == a)
|
||||
return neighbors->items[i].distance;
|
||||
if (b->neighbors[lc].items[i].element == a)
|
||||
return b->neighbors[lc].items[i].distance;
|
||||
}
|
||||
}
|
||||
|
||||
return DatumGetFloat8(FunctionCall2Coll(procinfo, collation, a->value, b->value));
|
||||
return DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(a->vec), PointerGetDatum(b->vec)));
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -821,78 +740,33 @@ CheckElementCloser(HnswCandidate * e, List *r, int lc, FmgrInfo *procinfo, Oid c
|
||||
* Algorithm 4 from paper
|
||||
*/
|
||||
static List *
|
||||
SelectNeighbors(List *c, int m, 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, HnswCandidate * *pruned)
|
||||
{
|
||||
List *r = NIL;
|
||||
List *w = list_copy(c);
|
||||
pairingheap *wd;
|
||||
HnswNeighborArray *neighbors = HnswGetNeighbors(e2, lc);
|
||||
bool mustCalculate = !neighbors->closerSet;
|
||||
List *added = NIL;
|
||||
bool removedAny = false;
|
||||
|
||||
if (list_length(w) <= m)
|
||||
return w;
|
||||
|
||||
wd = pairingheap_allocate(CompareNearestCandidates, NULL);
|
||||
|
||||
/* Ensure order of candidates is deterministic for closer caching */
|
||||
if (sortCandidates)
|
||||
list_sort(w, CompareCandidateDistances);
|
||||
|
||||
while (list_length(w) > 0 && list_length(r) < m)
|
||||
{
|
||||
/* Assumes w is already ordered desc */
|
||||
HnswCandidate *e = llast(w);
|
||||
bool closer;
|
||||
|
||||
w = list_delete_last(w);
|
||||
|
||||
/* Use previous state of r and wd to skip work when possible */
|
||||
if (mustCalculate)
|
||||
e->closer = CheckElementCloser(e, r, lc, procinfo, collation);
|
||||
else if (list_length(added) > 0)
|
||||
{
|
||||
/*
|
||||
* 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(e, added, lc, procinfo, collation);
|
||||
closer = CheckElementCloser(e, r, lc, procinfo, collation);
|
||||
|
||||
if (!e->closer)
|
||||
removedAny = true;
|
||||
}
|
||||
else
|
||||
{
|
||||
/*
|
||||
* If we have removed any candidates from closer, a candidate
|
||||
* that was not closer earlier might now be.
|
||||
*/
|
||||
if (removedAny)
|
||||
{
|
||||
e->closer = CheckElementCloser(e, r, lc, procinfo, collation);
|
||||
if (e->closer)
|
||||
added = lappend(added, e);
|
||||
}
|
||||
}
|
||||
}
|
||||
else if (e == newCandidate)
|
||||
{
|
||||
e->closer = CheckElementCloser(e, r, lc, procinfo, collation);
|
||||
if (e->closer)
|
||||
added = lappend(added, e);
|
||||
}
|
||||
|
||||
if (e->closer)
|
||||
if (closer)
|
||||
r = lappend(r, e);
|
||||
else
|
||||
pairingheap_add(wd, &(CreatePairingHeapNode(e)->ph_node));
|
||||
}
|
||||
|
||||
/* Cached value can only be used in future if sorted deterministically */
|
||||
neighbors->closerSet = sortCandidates;
|
||||
|
||||
/* Keep pruned connections */
|
||||
while (!pairingheap_is_empty(wd) && list_length(r) < m)
|
||||
r = lappend(r, ((HnswPairingHeapNode *) pairingheap_remove_first(wd))->inner);
|
||||
@@ -909,6 +783,30 @@ SelectNeighbors(List *c, int m, int lc, FmgrInfo *procinfo, Oid collation, HnswE
|
||||
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 (vector_cmp_internal(e->vec, neighbor->element->vec) != 0)
|
||||
break;
|
||||
|
||||
/* Check for space */
|
||||
if (list_length(neighbor->element->heaptids) < HNSW_HEAPTIDS)
|
||||
return neighbor->element;
|
||||
}
|
||||
|
||||
return NULL;
|
||||
}
|
||||
|
||||
/*
|
||||
* Add connections
|
||||
*/
|
||||
@@ -916,19 +814,41 @@ static void
|
||||
AddConnections(HnswElement element, List *neighbors, int m, int lc)
|
||||
{
|
||||
ListCell *lc2;
|
||||
HnswNeighborArray *a = HnswGetNeighbors(element, lc);
|
||||
HnswNeighborArray *a = &element->neighbors[lc];
|
||||
|
||||
foreach(lc2, neighbors)
|
||||
a->items[a->length++] = *((HnswCandidate *) lfirst(lc2));
|
||||
}
|
||||
|
||||
/*
|
||||
* Compare candidate distances
|
||||
*/
|
||||
static int
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
CompareCandidateDistances(const ListCell *a, const ListCell *b)
|
||||
#else
|
||||
CompareCandidateDistances(const void *a, const void *b)
|
||||
#endif
|
||||
{
|
||||
HnswCandidate *hca = lfirst((ListCell *) a);
|
||||
HnswCandidate *hcb = lfirst((ListCell *) b);
|
||||
|
||||
if (hca->distance < hcb->distance)
|
||||
return 1;
|
||||
|
||||
if (hca->distance > hcb->distance)
|
||||
return -1;
|
||||
|
||||
return 0;
|
||||
}
|
||||
|
||||
/*
|
||||
* Update connections
|
||||
*/
|
||||
void
|
||||
HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int *updateIdx, Relation index, FmgrInfo *procinfo, Oid collation)
|
||||
{
|
||||
HnswNeighborArray *currentNeighbors = HnswGetNeighbors(hc->element, lc);
|
||||
HnswNeighborArray *currentNeighbors = &hc->element->neighbors[lc];
|
||||
|
||||
HnswCandidate hc2;
|
||||
|
||||
@@ -951,19 +871,19 @@ HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int
|
||||
/* Load elements on insert */
|
||||
if (index != NULL)
|
||||
{
|
||||
Datum q = hc->element->value;
|
||||
Datum q = PointerGetDatum(hc->element->vec);
|
||||
|
||||
for (int i = 0; i < currentNeighbors->length; i++)
|
||||
{
|
||||
HnswCandidate *hc3 = ¤tNeighbors->items[i];
|
||||
|
||||
if (DatumGetPointer(hc3->element->value) == NULL)
|
||||
if (hc3->element->vec == NULL)
|
||||
HnswLoadElement(hc3->element, &hc3->distance, &q, index, procinfo, collation, true);
|
||||
else
|
||||
hc3->distance = GetCandidateDistance(hc3, q, procinfo, collation);
|
||||
|
||||
/* Prune element if being deleted */
|
||||
if (hc3->element->heaptidsLength == 0)
|
||||
if (list_length(hc3->element->heaptids) == 0)
|
||||
{
|
||||
pruned = ¤tNeighbors->items[i];
|
||||
break;
|
||||
@@ -975,12 +895,13 @@ HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int
|
||||
{
|
||||
List *c = NIL;
|
||||
|
||||
/* Add candidates */
|
||||
/* Add and sort candidates */
|
||||
for (int i = 0; i < currentNeighbors->length; i++)
|
||||
c = lappend(c, ¤tNeighbors->items[i]);
|
||||
c = lappend(c, &hc2);
|
||||
list_sort(c, CompareCandidateDistances);
|
||||
|
||||
SelectNeighbors(c, m, lc, procinfo, collation, hc->element, &hc2, &pruned, true);
|
||||
SelectNeighbors(c, m, lc, procinfo, collation, &pruned);
|
||||
|
||||
/* Should not happen */
|
||||
if (pruned == NULL)
|
||||
@@ -1021,7 +942,7 @@ RemoveElements(List *w, HnswElement skipElement)
|
||||
if (skipElement != NULL && hc->element->blkno == skipElement->blkno && hc->element->offno == skipElement->offno)
|
||||
continue;
|
||||
|
||||
if (hc->element->heaptidsLength != 0)
|
||||
if (list_length(hc->element->heaptids) != 0)
|
||||
w2 = lappend(w2, hc);
|
||||
}
|
||||
|
||||
@@ -1038,15 +959,9 @@ HnswInsertElement(HnswElement element, HnswElement entryPoint, Relation index, F
|
||||
List *w;
|
||||
int level = element->level;
|
||||
int entryLevel;
|
||||
Datum q = element->value;
|
||||
Datum q = PointerGetDatum(element->vec);
|
||||
HnswElement skipElement = existing ? element : NULL;
|
||||
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
/* Precompute hash */
|
||||
if (index == NULL)
|
||||
element->hash = hash_pointer((uintptr_t) element);
|
||||
#endif
|
||||
|
||||
/* No neighbors if no entry point */
|
||||
if (entryPoint == NULL)
|
||||
return;
|
||||
@@ -1085,12 +1000,7 @@ HnswInsertElement(HnswElement element, HnswElement entryPoint, Relation index, F
|
||||
else
|
||||
lw = w;
|
||||
|
||||
/*
|
||||
* Candidates are sorted, but not deterministically. Could set
|
||||
* sortCandidates to true for in-memory builds to enable closer
|
||||
* caching, but there does not seem to be a difference in performance.
|
||||
*/
|
||||
neighbors = SelectNeighbors(lw, lm, lc, procinfo, collation, element, NULL, NULL, false);
|
||||
neighbors = SelectNeighbors(lw, lm, lc, procinfo, collation, NULL);
|
||||
|
||||
AddConnections(element, neighbors, lm, lc);
|
||||
|
||||
|
||||
@@ -12,9 +12,12 @@
|
||||
* Check if deleted list contains an index TID
|
||||
*/
|
||||
static bool
|
||||
DeletedContains(tidhash_hash * deleted, ItemPointer indextid)
|
||||
DeletedContains(HTAB *deleted, ItemPointer indextid)
|
||||
{
|
||||
return tidhash_lookup(deleted, *indextid) != NULL;
|
||||
bool found;
|
||||
|
||||
hash_search(deleted, indextid, HASH_FIND, &found);
|
||||
return found;
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -59,8 +62,7 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
|
||||
/* Iterate over nodes */
|
||||
for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
|
||||
{
|
||||
ItemId itemid = PageGetItemId(page, offno);
|
||||
HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, itemid);
|
||||
HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, PageGetItemId(page, offno));
|
||||
int idx = 0;
|
||||
bool itemUpdated = false;
|
||||
|
||||
@@ -91,7 +93,7 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
|
||||
|
||||
if (itemUpdated)
|
||||
{
|
||||
Size etupSize = ItemIdGetLength(itemid);
|
||||
Size etupSize = HNSW_ELEMENT_TUPLE_SIZE(etup->vec.dim);
|
||||
|
||||
/* Mark rest as invalid */
|
||||
for (int i = idx; i < HNSW_HEAPTIDS; i++)
|
||||
@@ -107,13 +109,11 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
|
||||
if (!ItemPointerIsValid(&etup->heaptids[0]))
|
||||
{
|
||||
ItemPointerData ip;
|
||||
bool found;
|
||||
|
||||
/* Add to deleted list */
|
||||
ItemPointerSet(&ip, blkno, offno);
|
||||
|
||||
tidhash_insert(vacuumstate->deleted, ip, &found);
|
||||
Assert(!found);
|
||||
(void) hash_search(vacuumstate->deleted, &ip, HASH_ENTER, NULL);
|
||||
}
|
||||
else if (etup->level > highestLevel && !(entryPoint != NULL && blkno == entryPoint->blkno && offno == entryPoint->offno))
|
||||
{
|
||||
@@ -128,7 +128,10 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
|
||||
blkno = HnswPageGetOpaque(page)->nextblkno;
|
||||
|
||||
if (updated)
|
||||
{
|
||||
MarkBufferDirty(buf);
|
||||
GenericXLogFinish(state);
|
||||
}
|
||||
else
|
||||
GenericXLogAbort(state);
|
||||
|
||||
@@ -206,7 +209,7 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswEleme
|
||||
|
||||
/* Init fields */
|
||||
HnswInitNeighbors(element, m);
|
||||
element->heaptidsLength = 0;
|
||||
element->heaptids = NIL;
|
||||
|
||||
/* Add element to graph, skipping itself */
|
||||
HnswInsertElement(element, entryPoint, index, procinfo, collation, m, efConstruction, true);
|
||||
@@ -226,11 +229,12 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswEleme
|
||||
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
|
||||
|
||||
/* Commit */
|
||||
MarkBufferDirty(buf);
|
||||
GenericXLogFinish(state);
|
||||
UnlockReleaseBuffer(buf);
|
||||
|
||||
/* Update neighbors */
|
||||
HnswUpdateNeighborPages(index, procinfo, collation, element, m, true, false);
|
||||
HnswUpdateNeighborPages(index, procinfo, collation, element, m, true);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -286,7 +290,7 @@ RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
|
||||
* point is outdated and empty, the entry point will be empty
|
||||
* until an element is repaired.
|
||||
*/
|
||||
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_ALWAYS, highestPoint, InvalidBlockNumber, MAIN_FORKNUM, false);
|
||||
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_ALWAYS, highestPoint, InvalidBlockNumber, MAIN_FORKNUM);
|
||||
}
|
||||
else
|
||||
{
|
||||
@@ -419,7 +423,7 @@ RepairGraph(HnswVacuumState * vacuumstate)
|
||||
* was replaced and highest point was outdated.
|
||||
*/
|
||||
if (entryPoint == NULL || element->level > entryPoint->level)
|
||||
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_GREATER, element, InvalidBlockNumber, MAIN_FORKNUM, false);
|
||||
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_GREATER, element, InvalidBlockNumber, MAIN_FORKNUM);
|
||||
|
||||
/* Release lock */
|
||||
UnlockPage(index, HNSW_UPDATE_LOCK, lockmode);
|
||||
@@ -477,8 +481,7 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
/* Update element and neighbors together */
|
||||
for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
|
||||
{
|
||||
ItemId itemid = PageGetItemId(page, offno);
|
||||
HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, itemid);
|
||||
HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, PageGetItemId(page, offno));
|
||||
HnswNeighborTuple ntup;
|
||||
Size etupSize;
|
||||
Size ntupSize;
|
||||
@@ -506,7 +509,7 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
continue;
|
||||
|
||||
/* Calculate sizes */
|
||||
etupSize = ItemIdGetLength(itemid);
|
||||
etupSize = HNSW_ELEMENT_TUPLE_SIZE(etup->vec.dim);
|
||||
ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(etup->level, vacuumstate->m);
|
||||
|
||||
/* Get neighbor page */
|
||||
@@ -529,7 +532,7 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
|
||||
/* Overwrite element */
|
||||
etup->deleted = 1;
|
||||
MemSet(&etup->data, 0, VARSIZE_ANY(&etup->data));
|
||||
MemSet(&etup->vec.x, 0, etup->vec.dim * sizeof(float));
|
||||
|
||||
/* Overwrite neighbors */
|
||||
for (int i = 0; i < ntup->count; i++)
|
||||
@@ -544,6 +547,9 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
|
||||
|
||||
/* Commit */
|
||||
MarkBufferDirty(buf);
|
||||
if (nbuf != buf)
|
||||
MarkBufferDirty(nbuf);
|
||||
GenericXLogFinish(state);
|
||||
if (nbuf != buf)
|
||||
UnlockReleaseBuffer(nbuf);
|
||||
@@ -564,7 +570,7 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
}
|
||||
|
||||
/* Update insert page last, after everything has been marked as deleted */
|
||||
HnswUpdateMetaPage(index, 0, NULL, insertPage, MAIN_FORKNUM, false);
|
||||
HnswUpdateMetaPage(index, 0, NULL, insertPage, MAIN_FORKNUM);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -574,6 +580,7 @@ static void
|
||||
InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkDeleteResult *stats, IndexBulkDeleteCallback callback, void *callback_state)
|
||||
{
|
||||
Relation index = info->index;
|
||||
HASHCTL hash_ctl;
|
||||
|
||||
if (stats == NULL)
|
||||
stats = (IndexBulkDeleteResult *) palloc0(sizeof(IndexBulkDeleteResult));
|
||||
@@ -595,7 +602,10 @@ InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkD
|
||||
HnswGetMetaPageInfo(index, &vacuumstate->m, NULL);
|
||||
|
||||
/* Create hash table */
|
||||
vacuumstate->deleted = tidhash_create(CurrentMemoryContext, 256, NULL);
|
||||
hash_ctl.keysize = sizeof(ItemPointerData);
|
||||
hash_ctl.entrysize = sizeof(ItemPointerData);
|
||||
hash_ctl.hcxt = CurrentMemoryContext;
|
||||
vacuumstate->deleted = hash_create("hnswbulkdelete indextids", 256, &hash_ctl, HASH_ELEM | HASH_BLOBS | HASH_CONTEXT);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -604,7 +614,7 @@ InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkD
|
||||
static void
|
||||
FreeVacuumState(HnswVacuumState * vacuumstate)
|
||||
{
|
||||
tidhash_destroy(vacuumstate->deleted);
|
||||
hash_destroy(vacuumstate->deleted);
|
||||
FreeAccessStrategy(vacuumstate->bas);
|
||||
pfree(vacuumstate->ntup);
|
||||
MemoryContextDelete(vacuumstate->tmpCtx);
|
||||
|
||||
@@ -506,30 +506,29 @@ CreateListPages(Relation index, VectorArray centers, int dimensions,
|
||||
Buffer buf;
|
||||
Page page;
|
||||
GenericXLogState *state;
|
||||
Size listSize;
|
||||
OffsetNumber offno;
|
||||
Size itemsz;
|
||||
IvfflatList list;
|
||||
|
||||
listSize = MAXALIGN(IVFFLAT_LIST_SIZE(dimensions));
|
||||
list = palloc(listSize);
|
||||
itemsz = MAXALIGN(IVFFLAT_LIST_SIZE(dimensions));
|
||||
list = palloc(itemsz);
|
||||
|
||||
buf = IvfflatNewBuffer(index, forkNum);
|
||||
IvfflatInitRegisterPage(index, &buf, &page, &state);
|
||||
|
||||
for (int i = 0; i < lists; i++)
|
||||
{
|
||||
OffsetNumber offno;
|
||||
|
||||
/* Load list */
|
||||
list->startPage = InvalidBlockNumber;
|
||||
list->insertPage = InvalidBlockNumber;
|
||||
memcpy(&list->center, VectorArrayGet(centers, i), VECTOR_SIZE(dimensions));
|
||||
|
||||
/* Ensure free space */
|
||||
if (PageGetFreeSpace(page) < listSize)
|
||||
if (PageGetFreeSpace(page) < itemsz)
|
||||
IvfflatAppendPage(index, &buf, &page, &state, forkNum);
|
||||
|
||||
/* Add the item */
|
||||
offno = PageAddItem(page, (Item) list, listSize, InvalidOffsetNumber, false, false);
|
||||
offno = PageAddItem(page, (Item) list, itemsz, InvalidOffsetNumber, false, false);
|
||||
if (offno == InvalidOffsetNumber)
|
||||
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
|
||||
|
||||
@@ -543,10 +542,10 @@ 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)
|
||||
{
|
||||
|
||||
@@ -72,14 +72,12 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
||||
double ratio;
|
||||
double spc_seq_page_cost;
|
||||
Relation index;
|
||||
double selectivity = 1;
|
||||
ListCell *lc;
|
||||
#if PG_VERSION_NUM < 120000
|
||||
List *qinfos;
|
||||
#endif
|
||||
|
||||
/* Never use index without order or limit */
|
||||
if (path->indexorderbys == NULL || root->limit_tuples < 0)
|
||||
/* Never use index without order */
|
||||
if (path->indexorderbys == NULL)
|
||||
{
|
||||
*indexStartupCost = DBL_MAX;
|
||||
*indexTotalCost = DBL_MAX;
|
||||
@@ -107,29 +105,6 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
||||
*/
|
||||
costs.numIndexTuples = path->indexinfo->tuples * ratio;
|
||||
|
||||
/* Get the selectivity of non-index conditions */
|
||||
foreach(lc, path->indexinfo->indrestrictinfo)
|
||||
{
|
||||
RestrictInfo *rinfo = lfirst(lc);
|
||||
|
||||
if (rinfo->norm_selec >= 0 && rinfo->norm_selec <= 1 && rinfo->norm_selec != (Selectivity) DEFAULT_INEQ_SEL)
|
||||
selectivity *= rinfo->norm_selec;
|
||||
}
|
||||
|
||||
/*
|
||||
* Do not use index if limit + offset > expected tuples unless
|
||||
* enable_seqscan = off
|
||||
*/
|
||||
if (root->limit_tuples > costs.numIndexTuples * selectivity)
|
||||
{
|
||||
*indexStartupCost = 1.0e10 - 1;
|
||||
*indexTotalCost = 1.0e10 - 1;
|
||||
*indexSelectivity = 0;
|
||||
*indexCorrelation = 0;
|
||||
*indexPages = 0;
|
||||
return;
|
||||
}
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
genericcostestimate(root, path, loop_count, &costs);
|
||||
#else
|
||||
|
||||
@@ -40,6 +40,9 @@
|
||||
#define IVFFLAT_METAPAGE_BLKNO 0
|
||||
#define IVFFLAT_HEAD_BLKNO 1 /* first list page */
|
||||
|
||||
/* Must correspond to page numbers since page lock is used */
|
||||
#define IVFFLAT_SCAN_LOCK 0
|
||||
|
||||
/* IVFFlat parameters */
|
||||
#define IVFFLAT_DEFAULT_LISTS 100
|
||||
#define IVFFLAT_MIN_LISTS 1
|
||||
@@ -246,6 +249,9 @@ typedef struct IvfflatScanOpaqueData
|
||||
int probes;
|
||||
int dimensions;
|
||||
bool first;
|
||||
bool hasLock;
|
||||
Buffer buf;
|
||||
ItemPointerData heaptid;
|
||||
|
||||
/* Sorting */
|
||||
Tuplesortstate *sortstate;
|
||||
@@ -275,7 +281,7 @@ VectorArray VectorArrayInit(int maxlen, int dimensions);
|
||||
void VectorArrayFree(VectorArray arr);
|
||||
void PrintVectorArray(char *msg, VectorArray arr);
|
||||
void IvfflatKmeans(Relation index, VectorArray samples, VectorArray centers);
|
||||
FmgrInfo *IvfflatOptionalProcInfo(Relation index, uint16 procnum);
|
||||
FmgrInfo *IvfflatOptionalProcInfo(Relation rel, uint16 procnum);
|
||||
bool IvfflatNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result);
|
||||
int IvfflatGetLists(Relation index);
|
||||
void IvfflatGetMetaPageInfo(Relation index, int *lists, int *dimensions);
|
||||
|
||||
@@ -11,37 +11,36 @@
|
||||
* Find the list that minimizes the distance function
|
||||
*/
|
||||
static void
|
||||
FindInsertPage(Relation index, Datum *values, BlockNumber *insertPage, ListInfo * listInfo)
|
||||
FindInsertPage(Relation rel, Datum *values, BlockNumber *insertPage, ListInfo * listInfo)
|
||||
{
|
||||
Buffer cbuf;
|
||||
Page cpage;
|
||||
IvfflatList list;
|
||||
double distance;
|
||||
double minDistance = DBL_MAX;
|
||||
BlockNumber nextblkno = IVFFLAT_HEAD_BLKNO;
|
||||
FmgrInfo *procinfo;
|
||||
Oid collation;
|
||||
OffsetNumber offno;
|
||||
OffsetNumber maxoffno;
|
||||
|
||||
/* Avoid compiler warning */
|
||||
listInfo->blkno = nextblkno;
|
||||
listInfo->offno = FirstOffsetNumber;
|
||||
|
||||
procinfo = index_getprocinfo(index, 1, IVFFLAT_DISTANCE_PROC);
|
||||
collation = index->rd_indcollation[0];
|
||||
procinfo = index_getprocinfo(rel, 1, IVFFLAT_DISTANCE_PROC);
|
||||
collation = rel->rd_indcollation[0];
|
||||
|
||||
/* Search all list pages */
|
||||
while (BlockNumberIsValid(nextblkno))
|
||||
{
|
||||
Buffer cbuf;
|
||||
Page cpage;
|
||||
OffsetNumber maxoffno;
|
||||
|
||||
cbuf = ReadBuffer(index, nextblkno);
|
||||
cbuf = ReadBuffer(rel, nextblkno);
|
||||
LockBuffer(cbuf, BUFFER_LOCK_SHARE);
|
||||
cpage = BufferGetPage(cbuf);
|
||||
maxoffno = PageGetMaxOffsetNumber(cpage);
|
||||
|
||||
for (OffsetNumber offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
|
||||
for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
|
||||
{
|
||||
IvfflatList list;
|
||||
double distance;
|
||||
|
||||
list = (IvfflatList) PageGetItem(cpage, PageGetItemId(cpage, offno));
|
||||
distance = DatumGetFloat8(FunctionCall2Coll(procinfo, collation, values[0], PointerGetDatum(&list->center)));
|
||||
|
||||
@@ -64,7 +63,7 @@ FindInsertPage(Relation index, Datum *values, BlockNumber *insertPage, ListInfo
|
||||
* Insert a tuple into the index
|
||||
*/
|
||||
static void
|
||||
InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel)
|
||||
InsertTuple(Relation rel, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel)
|
||||
{
|
||||
IndexTuple itup;
|
||||
Datum value;
|
||||
@@ -81,33 +80,33 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, R
|
||||
value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
|
||||
|
||||
/* Normalize if needed */
|
||||
normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC);
|
||||
normprocinfo = IvfflatOptionalProcInfo(rel, IVFFLAT_NORM_PROC);
|
||||
if (normprocinfo != NULL)
|
||||
{
|
||||
if (!IvfflatNormValue(normprocinfo, index->rd_indcollation[0], &value, NULL))
|
||||
if (!IvfflatNormValue(normprocinfo, rel->rd_indcollation[0], &value, NULL))
|
||||
return;
|
||||
}
|
||||
|
||||
/* Find the insert page - sets the page and list info */
|
||||
FindInsertPage(index, values, &insertPage, &listInfo);
|
||||
FindInsertPage(rel, values, &insertPage, &listInfo);
|
||||
Assert(BlockNumberIsValid(insertPage));
|
||||
originalInsertPage = insertPage;
|
||||
|
||||
/* Form tuple */
|
||||
itup = index_form_tuple(RelationGetDescr(index), &value, isnull);
|
||||
itup = index_form_tuple(RelationGetDescr(rel), &value, isnull);
|
||||
itup->t_tid = *heap_tid;
|
||||
|
||||
/* Get tuple size */
|
||||
itemsz = MAXALIGN(IndexTupleSize(itup));
|
||||
Assert(itemsz <= BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(IvfflatPageOpaqueData)) - sizeof(ItemIdData));
|
||||
Assert(itemsz <= BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(IvfflatPageOpaqueData)));
|
||||
|
||||
/* Find a page to insert the item */
|
||||
for (;;)
|
||||
{
|
||||
buf = ReadBuffer(index, insertPage);
|
||||
buf = ReadBuffer(rel, insertPage);
|
||||
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
|
||||
|
||||
state = GenericXLogStart(index);
|
||||
state = GenericXLogStart(rel);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
|
||||
if (PageGetFreeSpace(page) >= itemsz)
|
||||
@@ -127,9 +126,9 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, R
|
||||
Page newpage;
|
||||
|
||||
/* Add a new page */
|
||||
LockRelationForExtension(index, ExclusiveLock);
|
||||
newbuf = IvfflatNewBuffer(index, MAIN_FORKNUM);
|
||||
UnlockRelationForExtension(index, ExclusiveLock);
|
||||
LockRelationForExtension(rel, ExclusiveLock);
|
||||
newbuf = IvfflatNewBuffer(rel, MAIN_FORKNUM);
|
||||
UnlockRelationForExtension(rel, ExclusiveLock);
|
||||
|
||||
/* Init new page */
|
||||
newpage = GenericXLogRegisterBuffer(state, newbuf, GENERIC_XLOG_FULL_IMAGE);
|
||||
@@ -142,13 +141,15 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, R
|
||||
IvfflatPageGetOpaque(page)->nextblkno = insertPage;
|
||||
|
||||
/* Commit */
|
||||
MarkBufferDirty(newbuf);
|
||||
MarkBufferDirty(buf);
|
||||
GenericXLogFinish(state);
|
||||
|
||||
/* Unlock previous buffer */
|
||||
UnlockReleaseBuffer(buf);
|
||||
|
||||
/* Prepare new buffer */
|
||||
state = GenericXLogStart(index);
|
||||
state = GenericXLogStart(rel);
|
||||
buf = newbuf;
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
break;
|
||||
@@ -157,13 +158,13 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, R
|
||||
|
||||
/* Add to next offset */
|
||||
if (PageAddItem(page, (Item) itup, itemsz, InvalidOffsetNumber, false, false) == InvalidOffsetNumber)
|
||||
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
|
||||
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(rel));
|
||||
|
||||
IvfflatCommitBuffer(buf, state);
|
||||
|
||||
/* Update the insert page */
|
||||
if (insertPage != originalInsertPage)
|
||||
IvfflatUpdateList(index, listInfo, insertPage, originalInsertPage, InvalidBlockNumber, MAIN_FORKNUM);
|
||||
IvfflatUpdateList(rel, listInfo, insertPage, originalInsertPage, InvalidBlockNumber, MAIN_FORKNUM);
|
||||
}
|
||||
|
||||
/*
|
||||
|
||||
@@ -6,10 +6,6 @@
|
||||
#include "ivfflat.h"
|
||||
#include "miscadmin.h"
|
||||
|
||||
#ifdef IVFFLAT_MEMORY
|
||||
#include "utils/memutils.h"
|
||||
#endif
|
||||
|
||||
/*
|
||||
* Initialize with kmeans++
|
||||
*
|
||||
@@ -21,6 +17,10 @@ InitCenters(Relation index, VectorArray samples, VectorArray centers, float *low
|
||||
FmgrInfo *procinfo;
|
||||
Oid collation;
|
||||
int64 j;
|
||||
double distance;
|
||||
double sum;
|
||||
double choice;
|
||||
Vector *vec;
|
||||
float *weight = palloc(samples->length * sizeof(float));
|
||||
int numCenters = centers->maxlen;
|
||||
int numSamples = samples->length;
|
||||
@@ -33,21 +33,17 @@ InitCenters(Relation index, VectorArray samples, VectorArray centers, float *low
|
||||
centers->length++;
|
||||
|
||||
for (j = 0; j < numSamples; j++)
|
||||
weight[j] = FLT_MAX;
|
||||
weight[j] = DBL_MAX;
|
||||
|
||||
for (int i = 0; i < numCenters; i++)
|
||||
{
|
||||
double sum;
|
||||
double choice;
|
||||
|
||||
CHECK_FOR_INTERRUPTS();
|
||||
|
||||
sum = 0.0;
|
||||
|
||||
for (j = 0; j < numSamples; j++)
|
||||
{
|
||||
Vector *vec = VectorArrayGet(samples, j);
|
||||
double distance;
|
||||
vec = VectorArrayGet(samples, j);
|
||||
|
||||
/* Only need to compute distance for new center */
|
||||
/* TODO Use triangle inequality to reduce distance calculations */
|
||||
@@ -116,6 +112,7 @@ CompareVectors(const void *a, const void *b)
|
||||
static void
|
||||
QuickCenters(Relation index, VectorArray samples, VectorArray centers)
|
||||
{
|
||||
Vector *vec;
|
||||
int dimensions = centers->dim;
|
||||
Oid collation = index->rd_indcollation[0];
|
||||
FmgrInfo *normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_KMEANS_NORM_PROC);
|
||||
@@ -126,7 +123,7 @@ QuickCenters(Relation index, VectorArray samples, VectorArray centers)
|
||||
qsort(samples->items, samples->length, VECTOR_SIZE(samples->dim), CompareVectors);
|
||||
for (int i = 0; i < samples->length; i++)
|
||||
{
|
||||
Vector *vec = VectorArrayGet(samples, i);
|
||||
vec = VectorArrayGet(samples, i);
|
||||
|
||||
if (i == 0 || CompareVectors(vec, VectorArrayGet(samples, i - 1)) != 0)
|
||||
{
|
||||
@@ -139,7 +136,7 @@ QuickCenters(Relation index, VectorArray samples, VectorArray centers)
|
||||
/* Fill remaining with random data */
|
||||
while (centers->length < centers->maxlen)
|
||||
{
|
||||
Vector *vec = VectorArrayGet(centers, centers->length);
|
||||
vec = VectorArrayGet(centers, centers->length);
|
||||
|
||||
SET_VARSIZE(vec, VECTOR_SIZE(dimensions));
|
||||
vec->dim = dimensions;
|
||||
@@ -155,23 +152,6 @@ 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.
|
||||
*
|
||||
@@ -188,6 +168,7 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
Oid collation;
|
||||
Vector *vec;
|
||||
Vector *newCenter;
|
||||
int iteration;
|
||||
int64 j;
|
||||
int64 k;
|
||||
int dimensions = centers->dim;
|
||||
@@ -201,6 +182,14 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
float *s;
|
||||
float *halfcdist;
|
||||
float *newcdist;
|
||||
int changes;
|
||||
double minDistance;
|
||||
int closestCenter;
|
||||
double distance;
|
||||
bool rj;
|
||||
bool rjreset;
|
||||
double dxcx;
|
||||
double dxc;
|
||||
|
||||
/* Calculate allocation sizes */
|
||||
Size samplesSize = VECTOR_ARRAY_SIZE(samples->maxlen, samples->dim);
|
||||
@@ -252,24 +241,20 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
vec->dim = dimensions;
|
||||
}
|
||||
|
||||
#ifdef IVFFLAT_MEMORY
|
||||
ShowMemoryUsage(totalSize);
|
||||
#endif
|
||||
|
||||
/* Pick initial centers */
|
||||
InitCenters(index, samples, centers, lowerBound);
|
||||
|
||||
/* Assign each x to its closest initial center c(x) = argmin d(x,c) */
|
||||
for (j = 0; j < numSamples; j++)
|
||||
{
|
||||
float minDistance = FLT_MAX;
|
||||
int closestCenter = 0;
|
||||
minDistance = DBL_MAX;
|
||||
closestCenter = 0;
|
||||
|
||||
/* Find closest center */
|
||||
for (k = 0; k < numCenters; k++)
|
||||
{
|
||||
/* TODO Use Lemma 1 in k-means++ initialization */
|
||||
float distance = lowerBound[j * numCenters + k];
|
||||
distance = lowerBound[j * numCenters + k];
|
||||
|
||||
if (distance < minDistance)
|
||||
{
|
||||
@@ -283,14 +268,13 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
}
|
||||
|
||||
/* Give 500 iterations to converge */
|
||||
for (int iteration = 0; iteration < 500; iteration++)
|
||||
for (iteration = 0; iteration < 500; iteration++)
|
||||
{
|
||||
int changes = 0;
|
||||
bool rjreset;
|
||||
|
||||
/* Can take a while, so ensure we can interrupt */
|
||||
CHECK_FOR_INTERRUPTS();
|
||||
|
||||
changes = 0;
|
||||
|
||||
/* Step 1: For all centers, compute distance */
|
||||
for (j = 0; j < numCenters; j++)
|
||||
{
|
||||
@@ -298,8 +282,7 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
|
||||
for (k = j + 1; k < numCenters; k++)
|
||||
{
|
||||
float distance = 0.5 * DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(vec), PointerGetDatum(VectorArrayGet(centers, k))));
|
||||
|
||||
distance = 0.5 * DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(vec), PointerGetDatum(VectorArrayGet(centers, k))));
|
||||
halfcdist[j * numCenters + k] = distance;
|
||||
halfcdist[k * numCenters + j] = distance;
|
||||
}
|
||||
@@ -308,12 +291,10 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
/* For all centers c, compute s(c) */
|
||||
for (j = 0; j < numCenters; j++)
|
||||
{
|
||||
float minDistance = FLT_MAX;
|
||||
minDistance = DBL_MAX;
|
||||
|
||||
for (k = 0; k < numCenters; k++)
|
||||
{
|
||||
float distance;
|
||||
|
||||
if (j == k)
|
||||
continue;
|
||||
|
||||
@@ -329,8 +310,6 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
|
||||
for (j = 0; j < numSamples; j++)
|
||||
{
|
||||
bool rj;
|
||||
|
||||
/* Step 2: Identify all points x such that u(x) <= s(c(x)) */
|
||||
if (upperBound[j] <= s[closestCenters[j]])
|
||||
continue;
|
||||
@@ -339,8 +318,6 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
|
||||
for (k = 0; k < numCenters; k++)
|
||||
{
|
||||
float dxcx;
|
||||
|
||||
/* Step 3: For all remaining points x and centers c */
|
||||
if (k == closestCenters[j])
|
||||
continue;
|
||||
@@ -370,7 +347,7 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
/* Step 3b */
|
||||
if (dxcx > lowerBound[j * numCenters + k] || dxcx > halfcdist[closestCenters[j] * numCenters + k])
|
||||
{
|
||||
float dxc = DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(vec), PointerGetDatum(VectorArrayGet(centers, k))));
|
||||
dxc = DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(vec), PointerGetDatum(VectorArrayGet(centers, k))));
|
||||
|
||||
/* d(x,c) calculated */
|
||||
lowerBound[j * numCenters + k] = dxc;
|
||||
@@ -384,6 +361,7 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
|
||||
changes++;
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -400,8 +378,6 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
|
||||
for (j = 0; j < numSamples; j++)
|
||||
{
|
||||
int closestCenter;
|
||||
|
||||
vec = VectorArrayGet(samples, j);
|
||||
closestCenter = closestCenters[j];
|
||||
|
||||
@@ -450,7 +426,7 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
{
|
||||
for (k = 0; k < numCenters; k++)
|
||||
{
|
||||
float distance = lowerBound[j * numCenters + k] - newcdist[k];
|
||||
distance = lowerBound[j * numCenters + k] - newcdist[k];
|
||||
|
||||
if (distance < 0)
|
||||
distance = 0;
|
||||
@@ -466,7 +442,7 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
|
||||
/* Step 7 */
|
||||
for (j = 0; j < numCenters; j++)
|
||||
VectorArraySet(centers, j, VectorArrayGet(newCenters, j));
|
||||
memcpy(VectorArrayGet(centers, j), VectorArrayGet(newCenters, j), VECTOR_SIZE(dimensions));
|
||||
|
||||
if (changes == 0 && iteration != 0)
|
||||
break;
|
||||
@@ -489,6 +465,9 @@ static void
|
||||
CheckCenters(Relation index, VectorArray centers)
|
||||
{
|
||||
FmgrInfo *normprocinfo;
|
||||
Oid collation;
|
||||
Vector *vec;
|
||||
double norm;
|
||||
|
||||
if (centers->length != centers->maxlen)
|
||||
elog(ERROR, "Not enough centers. Please report a bug.");
|
||||
@@ -496,7 +475,7 @@ CheckCenters(Relation index, VectorArray centers)
|
||||
/* Ensure no NaN or infinite values */
|
||||
for (int i = 0; i < centers->length; i++)
|
||||
{
|
||||
Vector *vec = VectorArrayGet(centers, i);
|
||||
vec = VectorArrayGet(centers, i);
|
||||
|
||||
for (int j = 0; j < vec->dim; j++)
|
||||
{
|
||||
@@ -522,12 +501,11 @@ CheckCenters(Relation index, VectorArray centers)
|
||||
normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC);
|
||||
if (normprocinfo != NULL)
|
||||
{
|
||||
Oid collation = index->rd_indcollation[0];
|
||||
collation = index->rd_indcollation[0];
|
||||
|
||||
for (int i = 0; i < centers->length; i++)
|
||||
{
|
||||
double norm = DatumGetFloat8(FunctionCall1Coll(normprocinfo, collation, PointerGetDatum(VectorArrayGet(centers, i))));
|
||||
|
||||
norm = DatumGetFloat8(FunctionCall1Coll(normprocinfo, collation, PointerGetDatum(VectorArrayGet(centers, i))));
|
||||
if (norm == 0)
|
||||
elog(ERROR, "Zero norm detected. Please report a bug.");
|
||||
}
|
||||
|
||||
105
src/ivfscan.c
105
src/ivfscan.c
@@ -9,6 +9,7 @@
|
||||
#include "miscadmin.h"
|
||||
#include "pgstat.h"
|
||||
#include "storage/bufmgr.h"
|
||||
#include "storage/lmgr.h"
|
||||
|
||||
/*
|
||||
* Compare list distances
|
||||
@@ -143,6 +144,10 @@ GetScanItems(IndexScanDesc scan, Datum value)
|
||||
bool isnull;
|
||||
ItemId itemid = PageGetItemId(page, offno);
|
||||
|
||||
/* Skip dead tuples */
|
||||
if (scan->ignore_killed_tuples && ItemIdIsDead(itemid))
|
||||
continue;
|
||||
|
||||
itup = (IndexTuple) PageGetItem(page, itemid);
|
||||
datum = index_getattr(itup, 1, tupdesc, &isnull);
|
||||
|
||||
@@ -157,6 +162,8 @@ GetScanItems(IndexScanDesc scan, Datum value)
|
||||
slot->tts_isnull[0] = false;
|
||||
slot->tts_values[1] = PointerGetDatum(&itup->t_tid);
|
||||
slot->tts_isnull[1] = false;
|
||||
slot->tts_values[2] = Int32GetDatum((int) searchPage);
|
||||
slot->tts_isnull[2] = false;
|
||||
ExecStoreVirtualTuple(slot);
|
||||
|
||||
tuplesort_puttupleslot(so->sortstate, slot);
|
||||
@@ -181,6 +188,55 @@ GetScanItems(IndexScanDesc scan, Datum value)
|
||||
tuplesort_performsort(so->sortstate);
|
||||
}
|
||||
|
||||
/*
|
||||
* Mark prior tuple as dead
|
||||
*/
|
||||
static void
|
||||
MarkPriorTupleDead(IndexScanDesc scan)
|
||||
{
|
||||
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
|
||||
Buffer buf = so->buf;
|
||||
Page page;
|
||||
OffsetNumber maxoffno;
|
||||
|
||||
/* Safety check */
|
||||
if (!BufferIsValid(so->buf) || !ItemPointerIsValid(&so->heaptid))
|
||||
return;
|
||||
|
||||
/* Only a shared locked is needed for ItemIdMarkDead */
|
||||
LockBuffer(buf, BUFFER_LOCK_SHARE);
|
||||
page = BufferGetPage(buf);
|
||||
maxoffno = PageGetMaxOffsetNumber(page);
|
||||
|
||||
for (OffsetNumber offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
|
||||
{
|
||||
ItemId itemid = PageGetItemId(page, offno);
|
||||
IndexTuple itup = (IndexTuple) PageGetItem(page, itemid);
|
||||
|
||||
/*
|
||||
* Find tuple. Since buffer has been pinned, tuple cannot have been
|
||||
* vacuumed (and heap TID reused).
|
||||
*/
|
||||
if (ItemPointerEquals(&itup->t_tid, &so->heaptid))
|
||||
{
|
||||
/*
|
||||
* Make sure tuple has not already been marked dead to avoid extra
|
||||
* WAL if wal_log_hints or data checksums enabled
|
||||
*/
|
||||
if (!ItemIdIsDead(itemid))
|
||||
{
|
||||
ItemIdMarkDead(itemid);
|
||||
MarkBufferDirtyHint(buf, true);
|
||||
}
|
||||
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
/* Unlock buffer */
|
||||
LockBuffer(buf, BUFFER_LOCK_UNLOCK);
|
||||
}
|
||||
|
||||
/*
|
||||
* Prepare for an index scan
|
||||
*/
|
||||
@@ -206,7 +262,10 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
|
||||
probes = lists;
|
||||
|
||||
so = (IvfflatScanOpaque) palloc(offsetof(IvfflatScanOpaqueData, lists) + probes * sizeof(IvfflatScanList));
|
||||
so->buf = InvalidBuffer;
|
||||
so->first = true;
|
||||
so->hasLock = false;
|
||||
ItemPointerSetInvalid(&so->heaptid);
|
||||
so->probes = probes;
|
||||
so->dimensions = dimensions;
|
||||
|
||||
@@ -217,12 +276,13 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
|
||||
|
||||
/* Create tuple description for sorting */
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
so->tupdesc = CreateTemplateTupleDesc(2);
|
||||
so->tupdesc = CreateTemplateTupleDesc(3);
|
||||
#else
|
||||
so->tupdesc = CreateTemplateTupleDesc(2, false);
|
||||
so->tupdesc = CreateTemplateTupleDesc(3, false);
|
||||
#endif
|
||||
TupleDescInitEntry(so->tupdesc, (AttrNumber) 1, "distance", FLOAT8OID, -1, 0);
|
||||
TupleDescInitEntry(so->tupdesc, (AttrNumber) 2, "heaptid", TIDOID, -1, 0);
|
||||
TupleDescInitEntry(so->tupdesc, (AttrNumber) 3, "indexblkno", INT4OID, -1, 0);
|
||||
|
||||
/* Prep sort */
|
||||
so->sortstate = tuplesort_begin_heap(so->tupdesc, 1, attNums, sortOperators, sortCollations, nullsFirstFlags, work_mem, NULL, false);
|
||||
@@ -254,6 +314,7 @@ ivfflatrescan(IndexScanDesc scan, ScanKey keys, int nkeys, ScanKey orderbys, int
|
||||
#endif
|
||||
|
||||
so->first = true;
|
||||
ItemPointerSetInvalid(&so->heaptid);
|
||||
pairingheap_reset(so->listQueue);
|
||||
|
||||
if (keys && scan->numberOfKeys > 0)
|
||||
@@ -288,10 +349,12 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
if (scan->orderByData == NULL)
|
||||
elog(ERROR, "cannot scan ivfflat index without order");
|
||||
|
||||
/* Requires MVCC-compliant snapshot as not able to pin during sorting */
|
||||
/* https://www.postgresql.org/docs/current/index-locking.html */
|
||||
if (!IsMVCCSnapshot(scan->xs_snapshot))
|
||||
elog(ERROR, "non-MVCC snapshots are not supported with ivfflat");
|
||||
/* Get a shared lock for non-MVCC snapshots */
|
||||
if (!so->hasLock && !IsMVCCSnapshot(scan->xs_snapshot))
|
||||
{
|
||||
so->hasLock = true;
|
||||
LockPage(scan->indexRelation, IVFFLAT_SCAN_LOCK, ShareLock);
|
||||
}
|
||||
|
||||
if (scan->orderByData->sk_flags & SK_ISNULL)
|
||||
value = PointerGetDatum(InitVector(so->dimensions));
|
||||
@@ -316,10 +379,17 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
if (value != scan->orderByData->sk_argument)
|
||||
pfree(DatumGetPointer(value));
|
||||
}
|
||||
else
|
||||
{
|
||||
/* Mark prior tuple as dead */
|
||||
if (scan->kill_prior_tuple)
|
||||
MarkPriorTupleDead(scan);
|
||||
}
|
||||
|
||||
if (tuplesort_gettupleslot(so->sortstate, true, false, so->slot, NULL))
|
||||
{
|
||||
ItemPointer heaptid = (ItemPointer) DatumGetPointer(slot_getattr(so->slot, 2, &so->isnull));
|
||||
BlockNumber indexblkno = DatumGetInt32(slot_getattr(so->slot, 3, &so->isnull));
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
scan->xs_heaptid = *heaptid;
|
||||
@@ -327,6 +397,21 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
scan->xs_ctup.t_self = *heaptid;
|
||||
#endif
|
||||
|
||||
/* Keep track of info needed to mark tuple as dead */
|
||||
so->heaptid = *heaptid;
|
||||
|
||||
/* Unpin buffer */
|
||||
if (BufferIsValid(so->buf))
|
||||
ReleaseBuffer(so->buf);
|
||||
|
||||
/*
|
||||
* An index scan must maintain a pin on the index page holding the
|
||||
* item last returned by amgettuple
|
||||
*
|
||||
* https://www.postgresql.org/docs/current/index-locking.html
|
||||
*/
|
||||
so->buf = ReadBuffer(scan->indexRelation, indexblkno);
|
||||
|
||||
scan->xs_recheckorderby = false;
|
||||
return true;
|
||||
}
|
||||
@@ -342,6 +427,14 @@ ivfflatendscan(IndexScanDesc scan)
|
||||
{
|
||||
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
|
||||
|
||||
/* Release pin */
|
||||
if (BufferIsValid(so->buf))
|
||||
ReleaseBuffer(so->buf);
|
||||
|
||||
/* Release lock */
|
||||
if (so->hasLock)
|
||||
UnlockPage(scan->indexRelation, IVFFLAT_SCAN_LOCK, ShareLock);
|
||||
|
||||
pairingheap_free(so->listQueue);
|
||||
tuplesort_end(so->sortstate);
|
||||
|
||||
|
||||
@@ -57,12 +57,12 @@ IvfflatGetLists(Relation index)
|
||||
* Get proc
|
||||
*/
|
||||
FmgrInfo *
|
||||
IvfflatOptionalProcInfo(Relation index, uint16 procnum)
|
||||
IvfflatOptionalProcInfo(Relation rel, uint16 procnum)
|
||||
{
|
||||
if (!OidIsValid(index_getprocid(index, 1, procnum)))
|
||||
if (!OidIsValid(index_getprocid(rel, 1, procnum)))
|
||||
return NULL;
|
||||
|
||||
return index_getprocinfo(index, 1, procnum);
|
||||
return index_getprocinfo(rel, 1, procnum);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -136,6 +136,7 @@ IvfflatInitRegisterPage(Relation index, Buffer *buf, Page *page, GenericXLogStat
|
||||
void
|
||||
IvfflatCommitBuffer(Buffer buf, GenericXLogState *state)
|
||||
{
|
||||
MarkBufferDirty(buf);
|
||||
GenericXLogFinish(state);
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
@@ -159,6 +160,8 @@ IvfflatAppendPage(Relation index, Buffer *buf, Page *page, GenericXLogState **st
|
||||
IvfflatInitPage(newbuf, newpage);
|
||||
|
||||
/* Commit */
|
||||
MarkBufferDirty(*buf);
|
||||
MarkBufferDirty(newbuf);
|
||||
GenericXLogFinish(*state);
|
||||
|
||||
/* Unlock */
|
||||
|
||||
@@ -3,6 +3,7 @@
|
||||
#include "commands/vacuum.h"
|
||||
#include "ivfflat.h"
|
||||
#include "storage/bufmgr.h"
|
||||
#include "storage/lmgr.h"
|
||||
|
||||
/*
|
||||
* Bulk delete tuples from the index
|
||||
@@ -65,14 +66,10 @@ ivfflatbulkdelete(IndexVacuumInfo *info, IndexBulkDeleteResult *stats,
|
||||
|
||||
vacuum_delay_point();
|
||||
|
||||
buf = ReadBufferExtended(index, MAIN_FORKNUM, searchPage, RBM_NORMAL, bas);
|
||||
/* Ensure no in-flight index scans for non-MVCC snapshots */
|
||||
LockPage(index, IVFFLAT_SCAN_LOCK, ExclusiveLock);
|
||||
|
||||
/*
|
||||
* ambulkdelete cannot delete entries from pages that are
|
||||
* pinned by other backends
|
||||
*
|
||||
* https://www.postgresql.org/docs/current/index-locking.html
|
||||
*/
|
||||
buf = ReadBufferExtended(index, MAIN_FORKNUM, searchPage, RBM_NORMAL, bas);
|
||||
LockBufferForCleanup(buf);
|
||||
|
||||
state = GenericXLogStart(index);
|
||||
@@ -107,12 +104,15 @@ ivfflatbulkdelete(IndexVacuumInfo *info, IndexBulkDeleteResult *stats,
|
||||
{
|
||||
/* Delete tuples */
|
||||
PageIndexMultiDelete(page, deletable, ndeletable);
|
||||
MarkBufferDirty(buf);
|
||||
GenericXLogFinish(state);
|
||||
}
|
||||
else
|
||||
GenericXLogAbort(state);
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
|
||||
UnlockPage(index, IVFFLAT_SCAN_LOCK, ExclusiveLock);
|
||||
}
|
||||
|
||||
/*
|
||||
|
||||
55
src/vector.c
55
src/vector.c
@@ -89,7 +89,7 @@ CheckDim(int dim)
|
||||
}
|
||||
|
||||
/*
|
||||
* Ensure finite element
|
||||
* Ensure finite elements
|
||||
*/
|
||||
static inline void
|
||||
CheckElement(float value)
|
||||
@@ -177,15 +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++;
|
||||
@@ -269,7 +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);
|
||||
|
||||
@@ -438,18 +437,17 @@ vector_send(PG_FUNCTION_ARGS)
|
||||
|
||||
/*
|
||||
* Convert vector to vector
|
||||
* This is needed to check the type modifier
|
||||
*/
|
||||
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector);
|
||||
Datum
|
||||
vector(PG_FUNCTION_ARGS)
|
||||
{
|
||||
Vector *vec = PG_GETARG_VECTOR_P(0);
|
||||
Vector *arg = PG_GETARG_VECTOR_P(0);
|
||||
int32 typmod = PG_GETARG_INT32(1);
|
||||
|
||||
CheckExpectedDim(typmod, vec->dim);
|
||||
CheckExpectedDim(typmod, arg->dim);
|
||||
|
||||
PG_RETURN_POINTER(vec);
|
||||
PG_RETURN_POINTER(arg);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -466,6 +464,7 @@ array_to_vector(PG_FUNCTION_ARGS)
|
||||
bool typbyval;
|
||||
char typalign;
|
||||
Datum *elemsp;
|
||||
bool *nullsp;
|
||||
int nelemsp;
|
||||
|
||||
if (ARR_NDIM(array) > 1)
|
||||
@@ -479,7 +478,7 @@ array_to_vector(PG_FUNCTION_ARGS)
|
||||
errmsg("array must not contain nulls")));
|
||||
|
||||
get_typlenbyvalalign(ARR_ELEMTYPE(array), &typlen, &typbyval, &typalign);
|
||||
deconstruct_array(array, ARR_ELEMTYPE(array), typlen, typbyval, typalign, &elemsp, NULL, &nelemsp);
|
||||
deconstruct_array(array, ARR_ELEMTYPE(array), typlen, typbyval, typalign, &elemsp, &nullsp, &nelemsp);
|
||||
|
||||
CheckDim(nelemsp);
|
||||
CheckExpectedDim(typmod, nelemsp);
|
||||
@@ -513,12 +512,6 @@ array_to_vector(PG_FUNCTION_ARGS)
|
||||
errmsg("unsupported array type")));
|
||||
}
|
||||
|
||||
/*
|
||||
* Free allocation from deconstruct_array. Do not free individual elements
|
||||
* when pass-by-reference since they point to original array.
|
||||
*/
|
||||
pfree(elemsp);
|
||||
|
||||
/* Check elements */
|
||||
for (int i = 0; i < result->dim; i++)
|
||||
CheckElement(result->x[i]);
|
||||
@@ -725,7 +718,7 @@ vector_spherical_distance(PG_FUNCTION_ARGS)
|
||||
}
|
||||
|
||||
/*
|
||||
* Get the L1 distance between two vectors
|
||||
* Get the L1 distance between vectors
|
||||
*/
|
||||
PGDLLEXPORT PG_FUNCTION_INFO_V1(l1_distance);
|
||||
Datum
|
||||
@@ -904,8 +897,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_lt);
|
||||
Datum
|
||||
vector_lt(PG_FUNCTION_ARGS)
|
||||
{
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1);
|
||||
|
||||
PG_RETURN_BOOL(vector_cmp_internal(a, b) < 0);
|
||||
}
|
||||
@@ -917,8 +910,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_le);
|
||||
Datum
|
||||
vector_le(PG_FUNCTION_ARGS)
|
||||
{
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1);
|
||||
|
||||
PG_RETURN_BOOL(vector_cmp_internal(a, b) <= 0);
|
||||
}
|
||||
@@ -930,8 +923,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_eq);
|
||||
Datum
|
||||
vector_eq(PG_FUNCTION_ARGS)
|
||||
{
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1);
|
||||
|
||||
PG_RETURN_BOOL(vector_cmp_internal(a, b) == 0);
|
||||
}
|
||||
@@ -943,8 +936,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_ne);
|
||||
Datum
|
||||
vector_ne(PG_FUNCTION_ARGS)
|
||||
{
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1);
|
||||
|
||||
PG_RETURN_BOOL(vector_cmp_internal(a, b) != 0);
|
||||
}
|
||||
@@ -956,8 +949,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_ge);
|
||||
Datum
|
||||
vector_ge(PG_FUNCTION_ARGS)
|
||||
{
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1);
|
||||
|
||||
PG_RETURN_BOOL(vector_cmp_internal(a, b) >= 0);
|
||||
}
|
||||
@@ -969,8 +962,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_gt);
|
||||
Datum
|
||||
vector_gt(PG_FUNCTION_ARGS)
|
||||
{
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1);
|
||||
|
||||
PG_RETURN_BOOL(vector_cmp_internal(a, b) > 0);
|
||||
}
|
||||
@@ -982,8 +975,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_cmp);
|
||||
Datum
|
||||
vector_cmp(PG_FUNCTION_ARGS)
|
||||
{
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1);
|
||||
|
||||
PG_RETURN_INT32(vector_cmp_internal(a, b));
|
||||
}
|
||||
|
||||
@@ -3,7 +3,7 @@ CREATE TABLE t (val vector(3));
|
||||
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||
CREATE INDEX ON t USING hnsw (val vector_cosine_ops);
|
||||
INSERT INTO t (val) VALUES ('[1,2,4]');
|
||||
SELECT * FROM t ORDER BY val <=> '[3,3,3]' LIMIT 5;
|
||||
SELECT * FROM t ORDER BY val <=> '[3,3,3]';
|
||||
val
|
||||
---------
|
||||
[1,1,1]
|
||||
@@ -11,13 +11,13 @@ SELECT * FROM t ORDER BY val <=> '[3,3,3]' LIMIT 5;
|
||||
[1,2,4]
|
||||
(3 rows)
|
||||
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '[0,0,0]' LIMIT 5) t2;
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '[0,0,0]') t2;
|
||||
count
|
||||
-------
|
||||
3
|
||||
(1 row)
|
||||
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::vector) LIMIT 5) t2;
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::vector)) t2;
|
||||
count
|
||||
-------
|
||||
3
|
||||
|
||||
@@ -3,7 +3,7 @@ CREATE TABLE t (val vector(3));
|
||||
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||
CREATE INDEX ON t USING hnsw (val vector_ip_ops);
|
||||
INSERT INTO t (val) VALUES ('[1,2,4]');
|
||||
SELECT * FROM t ORDER BY val <#> '[3,3,3]' LIMIT 5;
|
||||
SELECT * FROM t ORDER BY val <#> '[3,3,3]';
|
||||
val
|
||||
---------
|
||||
[1,2,4]
|
||||
@@ -12,7 +12,7 @@ SELECT * FROM t ORDER BY val <#> '[3,3,3]' LIMIT 5;
|
||||
[0,0,0]
|
||||
(4 rows)
|
||||
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <#> (SELECT NULL::vector) LIMIT 5) t2;
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <#> (SELECT NULL::vector)) t2;
|
||||
count
|
||||
-------
|
||||
4
|
||||
|
||||
@@ -3,7 +3,7 @@ CREATE TABLE t (val vector(3));
|
||||
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||
CREATE INDEX ON t USING hnsw (val vector_l2_ops);
|
||||
INSERT INTO t (val) VALUES ('[1,2,4]');
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]' LIMIT 5;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
val
|
||||
---------
|
||||
[1,2,3]
|
||||
@@ -12,7 +12,7 @@ SELECT * FROM t ORDER BY val <-> '[3,3,3]' LIMIT 5;
|
||||
[0,0,0]
|
||||
(4 rows)
|
||||
|
||||
SELECT * FROM t ORDER BY val <-> (SELECT NULL::vector) LIMIT 5;
|
||||
SELECT * FROM t ORDER BY val <-> (SELECT NULL::vector);
|
||||
val
|
||||
---------
|
||||
[0,0,0]
|
||||
@@ -28,7 +28,7 @@ SELECT COUNT(*) FROM t;
|
||||
(1 row)
|
||||
|
||||
TRUNCATE t;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]' LIMIT 5;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
val
|
||||
-----
|
||||
(0 rows)
|
||||
|
||||
@@ -2,7 +2,7 @@ SET enable_seqscan = off;
|
||||
CREATE UNLOGGED TABLE t (val vector(3));
|
||||
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||
CREATE INDEX ON t USING hnsw (val vector_l2_ops);
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]' LIMIT 5;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
val
|
||||
---------
|
||||
[1,2,3]
|
||||
|
||||
@@ -3,7 +3,7 @@ CREATE TABLE t (val vector(3));
|
||||
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||
CREATE INDEX ON t USING ivfflat (val vector_cosine_ops) WITH (lists = 1);
|
||||
INSERT INTO t (val) VALUES ('[1,2,4]');
|
||||
SELECT * FROM t ORDER BY val <=> '[3,3,3]' LIMIT 5;
|
||||
SELECT * FROM t ORDER BY val <=> '[3,3,3]';
|
||||
val
|
||||
---------
|
||||
[1,1,1]
|
||||
@@ -11,13 +11,13 @@ SELECT * FROM t ORDER BY val <=> '[3,3,3]' LIMIT 5;
|
||||
[1,2,4]
|
||||
(3 rows)
|
||||
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '[0,0,0]' LIMIT 5) t2;
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '[0,0,0]') t2;
|
||||
count
|
||||
-------
|
||||
3
|
||||
(1 row)
|
||||
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::vector) LIMIT 5) t2;
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::vector)) t2;
|
||||
count
|
||||
-------
|
||||
3
|
||||
|
||||
@@ -3,7 +3,7 @@ CREATE TABLE t (val vector(3));
|
||||
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||
CREATE INDEX ON t USING ivfflat (val vector_ip_ops) WITH (lists = 1);
|
||||
INSERT INTO t (val) VALUES ('[1,2,4]');
|
||||
SELECT * FROM t ORDER BY val <#> '[3,3,3]' LIMIT 5;
|
||||
SELECT * FROM t ORDER BY val <#> '[3,3,3]';
|
||||
val
|
||||
---------
|
||||
[1,2,4]
|
||||
@@ -12,7 +12,7 @@ SELECT * FROM t ORDER BY val <#> '[3,3,3]' LIMIT 5;
|
||||
[0,0,0]
|
||||
(4 rows)
|
||||
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <#> (SELECT NULL::vector) LIMIT 5) t2;
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <#> (SELECT NULL::vector)) t2;
|
||||
count
|
||||
-------
|
||||
4
|
||||
|
||||
@@ -3,7 +3,7 @@ CREATE TABLE t (val vector(3));
|
||||
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||
CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 1);
|
||||
INSERT INTO t (val) VALUES ('[1,2,4]');
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]' LIMIT 5;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
val
|
||||
---------
|
||||
[1,2,3]
|
||||
@@ -12,7 +12,7 @@ SELECT * FROM t ORDER BY val <-> '[3,3,3]' LIMIT 5;
|
||||
[0,0,0]
|
||||
(4 rows)
|
||||
|
||||
SELECT * FROM t ORDER BY val <-> (SELECT NULL::vector) LIMIT 5;
|
||||
SELECT * FROM t ORDER BY val <-> (SELECT NULL::vector);
|
||||
val
|
||||
---------
|
||||
[0,0,0]
|
||||
@@ -31,7 +31,7 @@ TRUNCATE t;
|
||||
NOTICE: ivfflat index created with little data
|
||||
DETAIL: This will cause low recall.
|
||||
HINT: Drop the index until the table has more data.
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]' LIMIT 5;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
val
|
||||
-----
|
||||
(0 rows)
|
||||
|
||||
@@ -2,7 +2,7 @@ SET enable_seqscan = off;
|
||||
CREATE UNLOGGED TABLE t (val vector(3));
|
||||
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||
CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 1);
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]' LIMIT 5;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
val
|
||||
---------
|
||||
[1,2,3]
|
||||
|
||||
@@ -6,8 +6,8 @@ CREATE INDEX ON t USING hnsw (val vector_cosine_ops);
|
||||
|
||||
INSERT INTO t (val) VALUES ('[1,2,4]');
|
||||
|
||||
SELECT * FROM t ORDER BY val <=> '[3,3,3]' LIMIT 5;
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '[0,0,0]' LIMIT 5) t2;
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::vector) LIMIT 5) t2;
|
||||
SELECT * FROM t ORDER BY val <=> '[3,3,3]';
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '[0,0,0]') t2;
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::vector)) t2;
|
||||
|
||||
DROP TABLE t;
|
||||
|
||||
@@ -6,7 +6,7 @@ CREATE INDEX ON t USING hnsw (val vector_ip_ops);
|
||||
|
||||
INSERT INTO t (val) VALUES ('[1,2,4]');
|
||||
|
||||
SELECT * FROM t ORDER BY val <#> '[3,3,3]' LIMIT 5;
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <#> (SELECT NULL::vector) LIMIT 5) t2;
|
||||
SELECT * FROM t ORDER BY val <#> '[3,3,3]';
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <#> (SELECT NULL::vector)) t2;
|
||||
|
||||
DROP TABLE t;
|
||||
|
||||
@@ -6,11 +6,11 @@ CREATE INDEX ON t USING hnsw (val vector_l2_ops);
|
||||
|
||||
INSERT INTO t (val) VALUES ('[1,2,4]');
|
||||
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]' LIMIT 5;
|
||||
SELECT * FROM t ORDER BY val <-> (SELECT NULL::vector) LIMIT 5;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
SELECT * FROM t ORDER BY val <-> (SELECT NULL::vector);
|
||||
SELECT COUNT(*) FROM t;
|
||||
|
||||
TRUNCATE t;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]' LIMIT 5;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
|
||||
DROP TABLE t;
|
||||
|
||||
@@ -4,6 +4,6 @@ CREATE UNLOGGED TABLE t (val vector(3));
|
||||
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||
CREATE INDEX ON t USING hnsw (val vector_l2_ops);
|
||||
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]' LIMIT 5;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
|
||||
DROP TABLE t;
|
||||
|
||||
@@ -6,8 +6,8 @@ CREATE INDEX ON t USING ivfflat (val vector_cosine_ops) WITH (lists = 1);
|
||||
|
||||
INSERT INTO t (val) VALUES ('[1,2,4]');
|
||||
|
||||
SELECT * FROM t ORDER BY val <=> '[3,3,3]' LIMIT 5;
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '[0,0,0]' LIMIT 5) t2;
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::vector) LIMIT 5) t2;
|
||||
SELECT * FROM t ORDER BY val <=> '[3,3,3]';
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '[0,0,0]') t2;
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::vector)) t2;
|
||||
|
||||
DROP TABLE t;
|
||||
|
||||
@@ -6,7 +6,7 @@ CREATE INDEX ON t USING ivfflat (val vector_ip_ops) WITH (lists = 1);
|
||||
|
||||
INSERT INTO t (val) VALUES ('[1,2,4]');
|
||||
|
||||
SELECT * FROM t ORDER BY val <#> '[3,3,3]' LIMIT 5;
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <#> (SELECT NULL::vector) LIMIT 5) t2;
|
||||
SELECT * FROM t ORDER BY val <#> '[3,3,3]';
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <#> (SELECT NULL::vector)) t2;
|
||||
|
||||
DROP TABLE t;
|
||||
|
||||
@@ -6,11 +6,11 @@ CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 1);
|
||||
|
||||
INSERT INTO t (val) VALUES ('[1,2,4]');
|
||||
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]' LIMIT 5;
|
||||
SELECT * FROM t ORDER BY val <-> (SELECT NULL::vector) LIMIT 5;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
SELECT * FROM t ORDER BY val <-> (SELECT NULL::vector);
|
||||
SELECT COUNT(*) FROM t;
|
||||
|
||||
TRUNCATE t;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]' LIMIT 5;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
|
||||
DROP TABLE t;
|
||||
|
||||
@@ -4,6 +4,6 @@ CREATE UNLOGGED TABLE t (val vector(3));
|
||||
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||
CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 1);
|
||||
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]' LIMIT 5;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
|
||||
DROP TABLE t;
|
||||
|
||||
@@ -49,7 +49,7 @@ is(idx_scan(), 0);
|
||||
$count = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET ivfflat.probes = 100;
|
||||
SELECT COUNT(*) FROM (SELECT v FROM tst ORDER BY v <-> (SELECT v FROM tst LIMIT 1) LIMIT 20000) t;
|
||||
SELECT COUNT(*) FROM (SELECT v FROM tst ORDER BY v <-> (SELECT v FROM tst LIMIT 1)) t;
|
||||
));
|
||||
is($count, $expected);
|
||||
is(idx_scan(), 1);
|
||||
|
||||
@@ -83,32 +83,11 @@ for my $i (0 .. $#operators)
|
||||
push(@expected, $res);
|
||||
}
|
||||
|
||||
# Build index serially
|
||||
$node->safe_psql("postgres", qq(
|
||||
SET max_parallel_maintenance_workers = 0;
|
||||
CREATE INDEX idx ON tst USING hnsw (v $opclass);
|
||||
));
|
||||
# Add index
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING hnsw (v $opclass);");
|
||||
|
||||
# Test approximate results
|
||||
my $min = $operator eq "<#>" ? 0.80 : 0.99;
|
||||
test_recall($min, $operator);
|
||||
|
||||
$node->safe_psql("postgres", "DROP INDEX idx;");
|
||||
|
||||
# Build index in parallel
|
||||
my ($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, $stderr);
|
||||
like($stderr, qr/using \d+ parallel workers/);
|
||||
|
||||
# Test approximate results
|
||||
test_recall($min, $operator);
|
||||
|
||||
$node->safe_psql("postgres", "DROP INDEX idx;");
|
||||
}
|
||||
|
||||
done_testing();
|
||||
|
||||
@@ -42,7 +42,7 @@ for my $i (1 .. 20)
|
||||
|
||||
my $count = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SELECT COUNT(*) FROM (SELECT v FROM tst ORDER BY v <-> (SELECT v FROM tst LIMIT 1) LIMIT 20) t;
|
||||
SELECT COUNT(*) FROM (SELECT v FROM tst ORDER BY v <-> (SELECT v FROM tst LIMIT 1)) t;
|
||||
));
|
||||
is($count, 10);
|
||||
|
||||
@@ -63,7 +63,7 @@ $node->pgbench(
|
||||
my $count = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET hnsw.ef_search = 1000;
|
||||
SELECT COUNT(*) FROM (SELECT v FROM tst ORDER BY v <-> (SELECT v FROM tst LIMIT 1) LIMIT 1000) t;
|
||||
SELECT COUNT(*) FROM (SELECT v FROM tst ORDER BY v <-> (SELECT v FROM tst LIMIT 1)) t;
|
||||
));
|
||||
# Elements may lose all incoming connections with the HNSW algorithm
|
||||
# Vacuuming can fix this if one of the elements neighbors is deleted
|
||||
|
||||
@@ -26,7 +26,7 @@ sub test_duplicates
|
||||
my $res = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET hnsw.ef_search = 1;
|
||||
SELECT COUNT(*) FROM (SELECT * FROM tst ORDER BY v <-> '[1,1,1]' LIMIT 20) t;
|
||||
SELECT COUNT(*) FROM (SELECT * FROM tst ORDER BY v <-> '[1,1,1]') t;
|
||||
));
|
||||
is($res, 10);
|
||||
}
|
||||
|
||||
@@ -1,111 +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 $limit;
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
|
||||
# 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 $limit;
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
|
||||
# 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 $limit;
|
||||
));
|
||||
like($explain, qr/Bitmap Index Scan on attribute_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();
|
||||
@@ -1,99 +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);");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[$array_sql], i % $nc 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 $limit;
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
|
||||
# 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 $limit;
|
||||
));
|
||||
like($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 $limit;
|
||||
));
|
||||
like($explain, qr/Bitmap Index Scan on attribute_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 $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using partial_idx/);
|
||||
|
||||
done_testing();
|
||||
@@ -1,64 +0,0 @@
|
||||
use strict;
|
||||
use warnings;
|
||||
use PostgresNode;
|
||||
use TestLib;
|
||||
use Test::More;
|
||||
|
||||
# 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 (v vector(3));");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT ARRAY[random(), random(), random()] FROM generate_series(1, 1000) i;"
|
||||
);
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v vector_l2_ops) WITH (lists = 10);");
|
||||
|
||||
# Test limit
|
||||
my $explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT * FROM tst ORDER BY v <-> '[1,2,3]' LIMIT 100;
|
||||
));
|
||||
like($explain, qr/Index Scan/);
|
||||
|
||||
# Test limit with probes
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
SET ivfflat.probes = 2;
|
||||
EXPLAIN ANALYZE SELECT * FROM tst ORDER BY v <-> '[1,2,3]' LIMIT 200;
|
||||
));
|
||||
like($explain, qr/Index Scan/);
|
||||
|
||||
# Test limit + offset
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT * FROM tst ORDER BY v <-> '[1,2,3]' LIMIT 90 OFFSET 10;
|
||||
));
|
||||
like($explain, qr/Index Scan/);
|
||||
|
||||
# Test limit > expected tuples
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT * FROM tst ORDER BY v <-> '[1,2,3]' LIMIT 101;
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
|
||||
# Test limit > expected tuples with probes
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
SET ivfflat.probes = 2;
|
||||
EXPLAIN ANALYZE SELECT * FROM tst ORDER BY v <-> '[1,2,3]' LIMIT 201;
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
|
||||
# Test limit + offset > expected tuples
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT * FROM tst ORDER BY v <-> '[1,2,3]' LIMIT 91 OFFSET 10;
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
|
||||
# Test no limit
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT * FROM tst ORDER BY v <-> '[1,2,3]';
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
|
||||
done_testing();
|
||||
@@ -1,62 +0,0 @@
|
||||
use strict;
|
||||
use warnings;
|
||||
use PostgresNode;
|
||||
use TestLib;
|
||||
use Test::More;
|
||||
|
||||
# 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 (v vector(3));");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT ARRAY[random(), random(), random()] FROM generate_series(1, 1000) i;"
|
||||
);
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING hnsw (v vector_l2_ops);");
|
||||
|
||||
# Test limit
|
||||
my $explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT * FROM tst ORDER BY v <-> '[1,2,3]' LIMIT 40;
|
||||
));
|
||||
like($explain, qr/Index Scan/);
|
||||
|
||||
# Test limit with CTE
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE WITH cte AS (SELECT * FROM tst ORDER BY v <-> '[1,2,3]' LIMIT 40) SELECT * FROM cte;
|
||||
));
|
||||
like($explain, qr/Index Scan/);
|
||||
|
||||
# Test limit + offset
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT * FROM tst ORDER BY v <-> '[1,2,3]' LIMIT 30 OFFSET 10;
|
||||
));
|
||||
like($explain, qr/Index Scan/);
|
||||
|
||||
# Test limit > ef_search
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT * FROM tst ORDER BY v <-> '[1,2,3]' LIMIT 41;
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
|
||||
# Test limit > ef_search with CTE
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE WITH cte AS (SELECT * FROM tst ORDER BY v <-> '[1,2,3]' LIMIT 41) SELECT * FROM cte;
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
|
||||
# Test limit + offset > ef_search
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT * FROM tst ORDER BY v <-> '[1,2,3]' LIMIT 31 OFFSET 10;
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
|
||||
# Test no limit
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT * FROM tst ORDER BY v <-> '[1,2,3]';
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
|
||||
done_testing();
|
||||
@@ -1,4 +1,4 @@
|
||||
comment = 'vector data type and ivfflat and hnsw access methods'
|
||||
default_version = '0.5.1'
|
||||
default_version = '0.5.0'
|
||||
module_pathname = '$libdir/vector'
|
||||
relocatable = true
|
||||
|
||||
Reference in New Issue
Block a user