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73 Commits

Author SHA1 Message Date
Andrew Kane
8b06719ae9 Do not use index if no limit or limit + offset > expected tuples unless enable_seqscan = off 2024-01-20 17:16:42 -08:00
Andrew Kane
a1a38156d7 Removed unneeded test [skip ci] 2024-01-20 15:28:48 -08:00
Andrew Kane
042ddfdc8a Updated readme [skip ci] 2024-01-20 11:40:49 -08:00
Andrew Kane
56870ce04d Added common paths on Mac [skip ci] 2024-01-19 21:43:55 -08:00
Andrew Kane
4ab77f3d24 Added section on missing SDK [skip ci] 2024-01-19 20:47:23 -08:00
Andrew Kane
cc9e6a6778 Added section on max_parallel_maintenance_workers [skip ci] 2024-01-18 21:57:38 -08:00
Andrew Kane
8f1b669c4f Added IVFFLAT_KMEANS_DEBUG to readme [skip ci] 2024-01-17 22:12:39 -08:00
Andrew Kane
1ff9ab5133 Revert "Improved vector_in"
This reverts commit 4894dc5da1.
2024-01-17 17:14:42 -08:00
Andrew Kane
4894dc5da1 Improved vector_in 2024-01-17 16:57:16 -08:00
Andrew Kane
7390f31261 Updated changelog [skip ci] 2024-01-17 10:50:07 -08:00
Heikki Linnakangas
b7304a3a4a Don't modify input string in vector_in() (#413)
Fixes issue #399
2024-01-17 10:49:04 -08:00
Andrew Kane
018ceb7a46 Updated PG_CONFIG example [skip ci] 2024-01-16 22:26:28 -08:00
Andrew Kane
0b2be00622 Added more defines to contributing docs [skip ci] 2024-01-16 17:21:33 -08:00
Andrew Kane
0ce497a1b1 Updated Homebrew note [skip ci] 2024-01-15 12:12:04 -08:00
Andrew Kane
c7d60346d8 Improved macro [skip ci] 2024-01-13 20:02:41 -08:00
Andrew Kane
597bfdc76b Added HnswGetNeighbors macro 2024-01-13 20:00:34 -08:00
Andrew Kane
cbf3eb4fa5 Improved HNSW build and insert code 2024-01-13 10:07:42 -08:00
Andrew Kane
cacd389f6d Improved pattern for duplicates 2024-01-12 14:30:13 -08:00
Andrew Kane
423cc2b06c Homebrew now adds to postgresql@15 as well [skip ci] 2024-01-11 16:45:50 -08:00
Andrew Kane
85c4ef6a14 Updated Postgres versions in readme [skip ci] 2024-01-11 12:36:24 -08:00
Andrew Kane
c6160a783a Homebrew now adds to postgresql@16 [skip ci] 2024-01-11 12:32:14 -08:00
Andrew Kane
1881b857f9 Simplified code 2024-01-09 18:53:31 -08:00
Andrew Kane
51bde5fb22 Updated readme [skip ci] 2024-01-09 14:38:25 -08:00
Andrew Kane
10e65ce349 Added note about maintenance_work_mem [skip ci] 2024-01-09 14:31:54 -08:00
Andrew Kane
61279f5a59 Updated readme [skip ci] 2024-01-09 14:26:55 -08:00
Andrew Kane
72b3889e26 Updated readme [skip ci] 2024-01-09 14:22:19 -08:00
Andrew Kane
bb21b2decf Updated readme [skip ci] 2024-01-09 14:19:01 -08:00
Andrew Kane
8a65c0e831 Moved section [skip ci] 2024-01-09 13:33:03 -08:00
Andrew Kane
7d75d423e4 Added section on index build time [skip ci] 2024-01-09 13:27:27 -08:00
Andrew Kane
6cad1f5de0 Updated example [skip ci] 2024-01-09 13:04:47 -08:00
Andrew Kane
67eeade63c Moved HNSW first in readme [skip ci] 2024-01-09 13:04:18 -08:00
Andrew Kane
108fb09d7b Improved code [skip ci] 2024-01-08 17:54:49 -08:00
Andrew Kane
65d060ac86 Reverted FlushPages pattern for parallel builds 2024-01-08 10:45:31 -08:00
Andrew Kane
62ee33bb92 Improved locking code 2024-01-08 09:05:12 -08:00
Andrew Kane
520e274dde Improved locking code 2024-01-07 22:34:41 -08:00
Andrew Kane
9e680884bd Moved indtuples to HnswGraph 2024-01-07 22:23:49 -08:00
Andrew Kane
19a0e1b341 Moved graph to separate struct 2024-01-07 20:15:30 -08:00
Andrew Kane
c7fe1571ee Improved code 2024-01-07 18:30:51 -08:00
Andrew Kane
cb4c770df2 Switched to slist for elements to reduce allocations and remove limit 2024-01-07 18:26:19 -08:00
Andrew Kane
85fdecd79b Moved FlushPages before HnswEndParallel 2024-01-07 17:50:46 -08:00
Andrew Kane
6132428914 Improved number of parallel workers for HNSW index builds - closes #397 2024-01-05 19:46:08 -08:00
Andrew Kane
81d13bd40f Improved code [skip ci] 2024-01-03 13:53:23 -05:00
Andrew Kane
8ee37b60a0 Improved memory estimate for HNSW index builds 2024-01-03 13:47:50 -05:00
Andrew Kane
9b73b3d1a6 Reduced memory and allocations for heap TIDs - closes #385 2024-01-03 13:41:34 -05:00
Andrew Kane
cae630784b Improved BuildCallback [skip ci] 2023-12-30 20:55:29 -05:00
Andrew Kane
d87bcd2deb Added comments [skip ci] 2023-12-30 18:29:01 -05:00
Andrew Kane
736576220a Improved BuildCallback 2023-12-30 18:24:03 -05:00
Andrew Kane
a508b120c1 Added IVFFLAT_MEMORY flag to show memory usage [skip ci] 2023-12-24 09:27:09 -05:00
Andrew Kane
9a782d29f8 Use consistent style [skip ci] 2023-12-22 16:41:25 -05:00
Andrew Kane
1e422cd62b Improved readability [skip ci] 2023-12-22 16:39:13 -05:00
Andrew Kane
569c69580a Improved InsertTuple code - #384
Co-authored-by: Heikki Linnakangas <heikki.linnakangas@iki.fi>
2023-12-22 15:08:28 -05:00
Andrew Kane
59509c3a17 Added extra 5% to memory estimate 2023-12-22 14:04:05 -05:00
Andrew Kane
61738846af Updated comment [skip ci] 2023-12-22 14:03:33 -05:00
Andrew Kane
e8c3bf0cef Improved memory tracking for HNSW index builds - #384 2023-12-22 13:35:43 -05:00
Andrew Kane
50d1aed3d8 Improved memory usage logging [skip ci] 2023-12-22 13:09:11 -05:00
Andrew Kane
66e14d2434 Updated indentation [skip ci] 2023-12-22 12:59:50 -05:00
Andrew Kane
42cd4c6833 Fixed call to GenerationContextCreate for Postgres < 15 2023-12-22 12:49:07 -05:00
Andrew Kane
dcbe0b6f0d Reduced memory usage for HNSW index builds - #384
Co-authored-by: Heikki Linnakangas <heikki.linnakangas@iki.fi>
2023-12-22 12:41:47 -05:00
Andrew Kane
f61d4087b5 Slightly improved memory estimation [skip ci] 2023-12-21 10:31:36 -05:00
Andrew Kane
57554e5b46 Added todo [skip ci] 2023-12-20 17:52:31 -05:00
Andrew Kane
6738fa0bd7 Added HNSW_MEMORY flag to show memory usage - #384 [skip ci] 2023-12-20 16:49:16 -05:00
Andrew Kane
9ab10aa674 Fixed CI 2023-12-20 16:29:13 -05:00
Andrew Kane
ec41dfa1d7 Mark meta buffer contents as dirty when not logging 2023-12-20 16:20:15 -05:00
Andrew Kane
43e0b3d9d4 Mark buffer contents as dirty when not logging 2023-12-20 16:16:25 -05:00
Andrew Kane
2bff7ccaa2 Improved memory estimation - #384 [skip ci] 2023-12-20 11:10:27 -05:00
Andrew Kane
e88a425c9b Reduced WAL generation for HNSW index builds - thanks @hlinnaka 2023-12-19 20:37:32 -05:00
Andrew Kane
921427ee03 Replace dynahash hash table in HNSW with simplehash for speed - #378
Co-authored-by: Heikki Linnakangas <heikki.linnakangas@iki.fi>
2023-12-17 11:24:13 -05:00
Andrew Kane
a59aa02dd9 Only show message if flushed due to memory [skip ci] 2023-12-04 15:29:23 -08:00
Andrew Kane
2fef497b7e Fixed check 2023-12-04 15:22:12 -08:00
Andrew Kane
0e19a984fb Updated changelog [skip ci] 2023-12-04 15:15:20 -08:00
Andrew Kane
a156f6c7ae Fixed invalid memory alloc request size error with HNSW - fixes #43 2023-12-04 15:00:32 -08:00
Andrew Kane
c653ac524f Simplified code [skip ci] 2023-12-04 12:19:38 -08:00
Andrew Kane
bf0d56e78e Updated comment [skip ci] 2023-12-03 13:09:57 -08:00
29 changed files with 984 additions and 1751 deletions

View File

@@ -20,6 +20,8 @@ jobs:
os: ubuntu-20.04 os: ubuntu-20.04
- postgres: 12 - postgres: 12
os: ubuntu-20.04 os: ubuntu-20.04
- postgres: 11
os: ubuntu-20.04
steps: steps:
- uses: actions/checkout@v4 - uses: actions/checkout@v4
- uses: ankane/setup-postgres@v1 - uses: ankane/setup-postgres@v1

View File

@@ -1,6 +1,11 @@
## 0.5.2 (unreleased) ## 0.5.2 (unreleased)
- Improved performance of HNSW
- Added support for on-disk parallel index builds for 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) ## 0.5.1 (2023-10-10)

View File

@@ -3,8 +3,8 @@ EXTVERSION = 0.5.1
MODULE_big = vector MODULE_big = vector
DATA = $(wildcard sql/*--*.sql) DATA = $(wildcard sql/*--*.sql)
OBJS = src/half.o src/hnsw.o src/hnswbuild.o src/hnswinsert.o src/hnswscan.o src/hnswutils.o src/hnswvacuum.o src/ivfbuild.o src/ivfflat.o src/ivfinsert.o src/ivfkmeans.o src/ivfscan.o src/ivfutils.o src/ivfvacuum.o src/vector.o OBJS = src/hnsw.o src/hnswbuild.o src/hnswinsert.o src/hnswscan.o src/hnswutils.o src/hnswvacuum.o src/ivfbuild.o src/ivfflat.o src/ivfinsert.o src/ivfkmeans.o src/ivfscan.o src/ivfutils.o src/ivfvacuum.o src/vector.o
HEADERS = src/half.h src/vector.h HEADERS = src/vector.h
TESTS = $(wildcard test/sql/*.sql) TESTS = $(wildcard test/sql/*.sql)
REGRESS = $(patsubst test/sql/%.sql,%,$(TESTS)) REGRESS = $(patsubst test/sql/%.sql,%,$(TESTS))

View File

@@ -1,8 +1,8 @@
EXTENSION = vector EXTENSION = vector
EXTVERSION = 0.5.1 EXTVERSION = 0.5.1
OBJS = src\half.obj src\hnsw.obj src\hnswbuild.obj src\hnswinsert.obj src\hnswscan.obj src\hnswutils.obj src\hnswvacuum.obj src\ivfbuild.obj src\ivfflat.obj src\ivfinsert.obj src\ivfkmeans.obj src\ivfscan.obj src\ivfutils.obj src\ivfvacuum.obj src\vector.obj OBJS = src\hnsw.obj src\hnswbuild.obj src\hnswinsert.obj src\hnswscan.obj src\hnswutils.obj src\hnswvacuum.obj src\ivfbuild.obj src\ivfflat.obj src\ivfinsert.obj src\ivfkmeans.obj src\ivfscan.obj src\ivfutils.obj src\ivfvacuum.obj src\vector.obj
HEADERS = src\half.h src\vector.h HEADERS = src\vector.h
REGRESS = btree cast copy functions input ivfflat_cosine ivfflat_ip ivfflat_l2 ivfflat_options ivfflat_unlogged REGRESS = btree cast copy functions input ivfflat_cosine ivfflat_ip ivfflat_l2 ivfflat_options ivfflat_unlogged
REGRESS_OPTS = --inputdir=test --load-extension=$(EXTENSION) REGRESS_OPTS = --inputdir=test --load-extension=$(EXTENSION)

221
README.md
View File

@@ -161,80 +161,12 @@ You can add an index to use approximate nearest neighbor search, which trades so
Supported index types are: Supported index types are:
- [IVFFlat](#ivfflat)
- [HNSW](#hnsw) - added in 0.5.0 - [HNSW](#hnsw) - added in 0.5.0
- [IVFFlat](#ivfflat)
## IVFFlat
An IVFFlat index divides vectors into lists, and then searches a subset of those lists that are closest to the query vector. It has faster build times and uses less memory than HNSW, but has lower query performance (in terms of speed-recall tradeoff).
Three keys to achieving good recall are:
1. Create the index *after* the table has some data
2. Choose an appropriate number of lists - a good place to start is `rows / 1000` for up to 1M rows and `sqrt(rows)` for over 1M rows
3. When querying, specify an appropriate number of [probes](#query-options) (higher is better for recall, lower is better for speed) - a good place to start is `sqrt(lists)`
Add an index for each distance function you want to use.
L2 distance
```sql
CREATE INDEX ON items USING ivfflat (embedding vector_l2_ops) WITH (lists = 100);
```
Inner product
```sql
CREATE INDEX ON items USING ivfflat (embedding vector_ip_ops) WITH (lists = 100);
```
Cosine distance
```sql
CREATE INDEX ON items USING ivfflat (embedding vector_cosine_ops) WITH (lists = 100);
```
Vectors with up to 2,000 dimensions can be indexed.
### Query Options
Specify the number of probes (1 by default)
```sql
SET ivfflat.probes = 10;
```
A higher value provides better recall at the cost of speed, and it can be set to the number of lists for exact nearest neighbor search (at which point the planner wont use the index)
Use `SET LOCAL` inside a transaction to set it for a single query
```sql
BEGIN;
SET LOCAL ivfflat.probes = 10;
SELECT ...
COMMIT;
```
### Indexing Progress
Check [indexing progress](https://www.postgresql.org/docs/current/progress-reporting.html#CREATE-INDEX-PROGRESS-REPORTING) with Postgres 12+
```sql
SELECT phase, round(100.0 * tuples_done / nullif(tuples_total, 0), 1) AS "%" FROM pg_stat_progress_create_index;
```
The phases for IVFFlat are:
1. `initializing`
2. `performing k-means`
3. `assigning tuples`
4. `loading tuples`
Note: `%` is only populated during the `loading tuples` phase
## HNSW ## HNSW
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). Theres no training step like IVFFlat, so the index can be created without any data in the table. 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 isnt a training step like IVFFlat.
Add an index for each distance function you want to use. Add an index for each distance function you want to use.
@@ -290,6 +222,24 @@ SELECT ...
COMMIT; 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 ### Indexing Progress
Check [indexing progress](https://www.postgresql.org/docs/current/progress-reporting.html#CREATE-INDEX-PROGRESS-REPORTING) with Postgres 12+ Check [indexing progress](https://www.postgresql.org/docs/current/progress-reporting.html#CREATE-INDEX-PROGRESS-REPORTING) with Postgres 12+
@@ -303,6 +253,84 @@ The phases for HNSW are:
1. `initializing` 1. `initializing`
2. `loading tuples` 2. `loading tuples`
## IVFFlat
An IVFFlat index divides vectors into lists, and then searches a subset of those lists that are closest to the query vector. It has faster build times and uses less memory than HNSW, but has lower query performance (in terms of speed-recall tradeoff).
Three keys to achieving good recall are:
1. Create the index *after* the table has some data
2. Choose an appropriate number of lists - a good place to start is `rows / 1000` for up to 1M rows and `sqrt(rows)` for over 1M rows
3. When querying, specify an appropriate number of [probes](#query-options) (higher is better for recall, lower is better for speed) - a good place to start is `sqrt(lists)`
Add an index for each distance function you want to use.
L2 distance
```sql
CREATE INDEX ON items USING ivfflat (embedding vector_l2_ops) WITH (lists = 100);
```
Inner product
```sql
CREATE INDEX ON items USING ivfflat (embedding vector_ip_ops) WITH (lists = 100);
```
Cosine distance
```sql
CREATE INDEX ON items USING ivfflat (embedding vector_cosine_ops) WITH (lists = 100);
```
Vectors with up to 2,000 dimensions can be indexed.
### Query Options
Specify the number of probes (1 by default)
```sql
SET ivfflat.probes = 10;
```
A higher value provides better recall at the cost of speed, and it can be set to the number of lists for exact nearest neighbor search (at which point the planner wont use the index)
Use `SET LOCAL` inside a transaction to set it for a single query
```sql
BEGIN;
SET LOCAL ivfflat.probes = 10;
SELECT ...
COMMIT;
```
### Index Build Time
Speed up index creation on large tables by increasing the number of parallel workers (2 by default)
```sql
SET max_parallel_maintenance_workers = 7; -- plus leader
```
For a large number of workers, you may also need to increase `max_parallel_workers` (8 by default)
### Indexing Progress
Check [indexing progress](https://www.postgresql.org/docs/current/progress-reporting.html#CREATE-INDEX-PROGRESS-REPORTING) with Postgres 12+
```sql
SELECT phase, round(100.0 * tuples_done / nullif(tuples_total, 0), 1) AS "%" FROM pg_stat_progress_create_index;
```
The phases for IVFFlat are:
1. `initializing`
2. `performing k-means`
3. `assigning tuples`
4. `loading tuples`
Note: `%` is only populated during the `loading tuples` phase
## Filtering ## Filtering
There are a few ways to index nearest neighbor queries with a `WHERE` clause There are a few ways to index nearest neighbor queries with a `WHERE` clause
@@ -320,8 +348,7 @@ 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 Or a [partial index](https://www.postgresql.org/docs/current/indexes-partial.html) on the vector column for approximate search
```sql ```sql
CREATE INDEX ON items USING ivfflat (embedding vector_l2_ops) WITH (lists = 100) CREATE INDEX ON items USING hnsw (embedding vector_l2_ops) WHERE (category_id = 123);
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 Use [partitioning](https://www.postgresql.org/docs/current/ddl-partitioning.html) for approximate search on many different values of the `WHERE` columns
@@ -555,7 +582,7 @@ 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: If your machine has multiple Postgres installations, specify the path to [pg_config](https://www.postgresql.org/docs/current/app-pgconfig.html) with:
```sh ```sh
export PG_CONFIG=/Applications/Postgres.app/Contents/Versions/latest/bin/pg_config export PG_CONFIG=/Library/PostgreSQL/16/bin/pg_config
``` ```
Then re-run the installation instructions (run `make clean` before `make` if needed). If `sudo` is needed for `make install`, use: Then re-run the installation instructions (run `make clean` before `make` if needed). If `sudo` is needed for `make install`, use:
@@ -564,6 +591,14 @@ Then re-run the installation instructions (run `make clean` before `make` if nee
sudo --preserve-env=PG_CONFIG make install 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 ### 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. If compilation fails with `fatal error: postgres.h: No such file or directory`, make sure Postgres development files are installed on the server.
@@ -571,10 +606,14 @@ If compilation fails with `fatal error: postgres.h: No such file or directory`,
For Ubuntu and Debian, use: For Ubuntu and Debian, use:
```sh ```sh
sudo apt install postgresql-server-dev-15 sudo apt install postgresql-server-dev-16
``` ```
Note: Replace `15` with your Postgres server version 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.
### Windows ### Windows
@@ -589,7 +628,7 @@ Note: The exact path will vary depending on your Visual Studio version and editi
Then use `nmake` to build: Then use `nmake` to build:
```cmd ```cmd
set "PGROOT=C:\Program Files\PostgreSQL\15" set "PGROOT=C:\Program Files\PostgreSQL\16"
git clone --branch v0.5.1 https://github.com/pgvector/pgvector.git git clone --branch v0.5.1 https://github.com/pgvector/pgvector.git
cd pgvector cd pgvector
nmake /F Makefile.win nmake /F Makefile.win
@@ -639,22 +678,22 @@ 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: 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 ```sh
sudo apt install postgresql-15-pgvector sudo apt install postgresql-16-pgvector
``` ```
Note: Replace `15` with your Postgres server version Note: Replace `16` with your Postgres server version
### Yum ### 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: 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 ```sh
sudo yum install pgvector_15 sudo yum install pgvector_16
# or # or
sudo dnf install pgvector_15 sudo dnf install pgvector_16
``` ```
Note: Replace `15` with your Postgres server version Note: Replace `16` with your Postgres server version
### conda-forge ### conda-forge
@@ -764,7 +803,25 @@ make prove_installcheck PROVE_TESTS=test/t/001_wal.pl # TAP test
To enable benchmarking: To enable benchmarking:
```sh ```sh
make clean && PG_CFLAGS=-DIVFFLAT_BENCH make && make install 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
``` ```
Resources for contributors Resources for contributors

View File

@@ -1,101 +0,0 @@
-- complain if script is sourced in psql, rather than via CREATE EXTENSION
\echo Use "ALTER EXTENSION vector UPDATE TO '0.6.0'" to load this file. \quit
CREATE TYPE half;
CREATE FUNCTION half_in(cstring, oid, integer) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION half_out(half) RETURNS cstring
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION half_recv(internal, oid, integer) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION half_send(half) RETURNS bytea
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE TYPE half (
INPUT = half_in,
OUTPUT = half_out,
RECEIVE = half_recv,
SEND = half_send,
INTERNALLENGTH = 2,
PASSEDBYVALUE,
ALIGNMENT = int2
);
CREATE FUNCTION l2_distance(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME', 'half_l2_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION inner_product(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME', 'half_inner_product' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION cosine_distance(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME', 'half_cosine_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION l1_distance(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME', 'half_l1_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION half_l2_squared_distance(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION half_negative_inner_product(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION float4_to_half(real, integer, boolean) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION half_to_float4(half, integer, boolean) RETURNS real
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION float8_to_half(float8, integer, boolean) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION half_to_float8(half, integer, boolean) RETURNS float8
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION integer_to_half(integer, integer, boolean) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION numeric_to_half(numeric, integer, boolean) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION half_to_numeric(half, integer, boolean) RETURNS numeric
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE CAST (real AS half)
WITH FUNCTION float4_to_half(real, integer, boolean) AS IMPLICIT;
CREATE CAST (half AS real)
WITH FUNCTION half_to_float4(half, integer, boolean) AS IMPLICIT;
CREATE CAST (float8 AS half)
WITH FUNCTION float8_to_half(float8, integer, boolean) AS IMPLICIT;
CREATE CAST (half AS float8)
WITH FUNCTION half_to_float8(half, integer, boolean) AS IMPLICIT;
CREATE CAST (integer AS half)
WITH FUNCTION integer_to_half(integer, integer, boolean) AS IMPLICIT;
CREATE CAST (numeric AS half)
WITH FUNCTION numeric_to_half(numeric, integer, boolean) AS IMPLICIT;
CREATE CAST (half AS numeric)
WITH FUNCTION half_to_numeric(half, integer, boolean) AS IMPLICIT;
CREATE OPERATOR <-> (
LEFTARG = half[], RIGHTARG = half[], PROCEDURE = l2_distance,
COMMUTATOR = '<->'
);
CREATE OPERATOR <#> (
LEFTARG = half[], RIGHTARG = half[], PROCEDURE = half_negative_inner_product,
COMMUTATOR = '<#>'
);
CREATE OPERATOR <=> (
LEFTARG = half[], RIGHTARG = half[], PROCEDURE = cosine_distance,
COMMUTATOR = '<=>'
);

View File

@@ -290,114 +290,3 @@ CREATE OPERATOR CLASS vector_cosine_ops
OPERATOR 1 <=> (vector, vector) FOR ORDER BY float_ops, OPERATOR 1 <=> (vector, vector) FOR ORDER BY float_ops,
FUNCTION 1 vector_negative_inner_product(vector, vector), FUNCTION 1 vector_negative_inner_product(vector, vector),
FUNCTION 2 vector_norm(vector); FUNCTION 2 vector_norm(vector);
-- half type
CREATE TYPE half;
CREATE FUNCTION half_in(cstring, oid, integer) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION half_out(half) RETURNS cstring
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION half_recv(internal, oid, integer) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION half_send(half) RETURNS bytea
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE TYPE half (
INPUT = half_in,
OUTPUT = half_out,
RECEIVE = half_recv,
SEND = half_send,
INTERNALLENGTH = 2,
PASSEDBYVALUE,
ALIGNMENT = int2
);
-- half functions
CREATE FUNCTION l2_distance(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME', 'half_l2_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION inner_product(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME', 'half_inner_product' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION cosine_distance(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME', 'half_cosine_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION l1_distance(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME', 'half_l1_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-- half private functions
CREATE FUNCTION half_l2_squared_distance(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION half_negative_inner_product(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-- half cast functions
CREATE FUNCTION float4_to_half(real, integer, boolean) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION half_to_float4(half, integer, boolean) RETURNS real
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION float8_to_half(float8, integer, boolean) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION half_to_float8(half, integer, boolean) RETURNS float8
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION integer_to_half(integer, integer, boolean) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION numeric_to_half(numeric, integer, boolean) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION half_to_numeric(half, integer, boolean) RETURNS numeric
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-- half casts
CREATE CAST (real AS half)
WITH FUNCTION float4_to_half(real, integer, boolean) AS IMPLICIT;
CREATE CAST (half AS real)
WITH FUNCTION half_to_float4(half, integer, boolean) AS IMPLICIT;
CREATE CAST (float8 AS half)
WITH FUNCTION float8_to_half(float8, integer, boolean) AS IMPLICIT;
CREATE CAST (half AS float8)
WITH FUNCTION half_to_float8(half, integer, boolean) AS IMPLICIT;
CREATE CAST (integer AS half)
WITH FUNCTION integer_to_half(integer, integer, boolean) AS IMPLICIT;
CREATE CAST (numeric AS half)
WITH FUNCTION numeric_to_half(numeric, integer, boolean) AS IMPLICIT;
CREATE CAST (half AS numeric)
WITH FUNCTION half_to_numeric(half, integer, boolean) AS IMPLICIT;
-- half operators
CREATE OPERATOR <-> (
LEFTARG = half[], RIGHTARG = half[], PROCEDURE = l2_distance,
COMMUTATOR = '<->'
);
CREATE OPERATOR <#> (
LEFTARG = half[], RIGHTARG = half[], PROCEDURE = half_negative_inner_product,
COMMUTATOR = '<#>'
);
CREATE OPERATOR <=> (
LEFTARG = half[], RIGHTARG = half[], PROCEDURE = cosine_distance,
COMMUTATOR = '<=>'
);

View File

@@ -1,694 +0,0 @@
#include "postgres.h"
#include <math.h>
#include "common/shortest_dec.h"
#include "fmgr.h"
#include "half.h"
#include "lib/stringinfo.h"
#include "libpq/pqformat.h"
#include "utils/array.h"
#include "utils/builtins.h"
#include "utils/float.h"
#include "utils/numeric.h"
#if PG_VERSION_NUM < 120003
static pg_noinline void
float_overflow_error(void)
{
ereport(ERROR,
(errcode(ERRCODE_NUMERIC_VALUE_OUT_OF_RANGE),
errmsg("value out of range: overflow")));
}
static pg_noinline void
float_underflow_error(void)
{
ereport(ERROR,
(errcode(ERRCODE_NUMERIC_VALUE_OUT_OF_RANGE),
errmsg("value out of range: underflow")));
}
#endif
/*
* Check if array is a vector
*/
static void
CheckArrayIsVector(ArrayType *array)
{
if (ARR_NDIM(array) > 1)
ereport(ERROR,
(errcode(ERRCODE_DATA_EXCEPTION),
errmsg("array must be 1-D")));
if (ARR_HASNULL(array) && array_contains_nulls(array))
ereport(ERROR,
(errcode(ERRCODE_NULL_VALUE_NOT_ALLOWED),
errmsg("array must not contain nulls")));
}
/*
* Check if dimensions are the same
*/
static int
CheckDims(ArrayType *a, ArrayType *b)
{
int dima;
int dimb;
CheckArrayIsVector(a);
CheckArrayIsVector(b);
dima = ARR_DIMS(a)[0];
dimb = ARR_DIMS(b)[0];
if (dima != dimb)
ereport(ERROR,
(errcode(ERRCODE_DATA_EXCEPTION),
errmsg("different dimensions %d and %d", dima, dimb)));
return dima;
}
/*
* Return the datum representation for a half
*/
static inline Datum
HalfGetDatum(half X)
{
union
{
half value;
int16 retval;
} myunion;
myunion.value = X;
return Int16GetDatum(myunion.retval);
}
/*
* Return the half value of a datum
*/
static inline half
DatumGetHalf(Datum X)
{
union
{
int16 value;
half retval;
} myunion;
myunion.value = DatumGetInt16(X);
return myunion.retval;
}
/*
* Get a half from a message buffer
*/
static half
pq_getmsghalf(StringInfo msg)
{
union
{
half h;
uint16 i;
} swap;
swap.i = pq_getmsgint(msg, 2);
return swap.h;
}
/*
* Append a half to a StringInfo buffer
*/
static void
pq_sendhalf(StringInfo buf, half h)
{
union
{
half h;
uint16 i;
} swap;
swap.h = h;
pq_sendint16(buf, swap.i);
}
/*
* Convert a half to a float4
*/
static float
HalfToFloat4(half num)
{
#ifdef FLT16_SUPPORT
return (float) num;
#else
/* TODO Improve performance */
/* TODO Check endianness */
uint16 bin = *((uint16 *) &num);
uint32 exponent = (bin & 0x7C00) >> 10;
uint32 mantissa = bin & 0x03FF;
/* Sign */
uint32 result = (bin & 0x8000) << 16;
if (exponent == 31)
{
if (mantissa == 0)
{
/* Infinite */
result |= 0x7F800000;
}
else
{
/* NaN */
result |= 0x7FC00000;
result |= mantissa << 13;
}
}
else if (exponent == 0)
{
/* Subnormal */
if (mantissa != 0)
{
exponent = -14;
for (int i = 0; i < 10; i++)
{
mantissa <<= 1;
exponent -= 1;
if ((mantissa >> 10) % 2 == 1)
{
mantissa &= 0x03ff;
break;
}
}
result |= (exponent + 127) << 23;
result |= mantissa << 13;
}
}
else
{
/* Normal */
result |= (exponent - 15 + 127) << 23;
result |= mantissa << 13;
}
return *((float *) &result);
#endif
}
/*
* Convert a float4 to a half
*/
static half
Float4ToHalfUnchecked(float num)
{
#ifdef FLT16_SUPPORT
return (_Float16) num;
#else
/* TODO Improve performance */
/* TODO Check endianness */
uint32 bin = *((uint32 *) &num);
int exponent = (bin & 0x7F800000) >> 23;
int mantissa = bin & 0x007FFFFF;
/* Sign */
uint16 result = (bin & 0x80000000) >> 16;
if (isinf(num))
{
/* Infinite */
result |= 0x7C00;
}
else if (isnan(num))
{
/* NaN */
result |= 0x7E00;
result |= mantissa >> 13;
}
else if (exponent > 98)
{
int m;
int gr;
int s;
exponent -= 127;
s = mantissa & 0x00000FFF;
/* Subnormal */
if (exponent < -14)
{
int diff = -exponent - 14;
mantissa >>= diff;
mantissa += 1 << (23 - diff);
s |= mantissa & 0x00000FFF;
}
m = mantissa >> 13;
/* Round */
gr = (mantissa >> 12) % 4;
if (gr == 3 || (gr == 1 && s != 0))
m += 1;
if (m == 1024)
{
m = 0;
exponent += 1;
}
if (exponent > 15)
{
/* Infinite */
result |= 0x7C00;
}
else
{
if (exponent >= -14)
result |= (exponent + 15) << 10;
result |= m;
}
}
return *((half *) & result);
#endif
}
/*
* Check if half is infinite
*/
static inline bool
HalfIsInf(half num)
{
#ifdef FLT16_SUPPORT
return isinf(num);
#else
return (num << 1) == 0xF800;
#endif
}
/*
* Check if half is zero
*/
static inline bool
HalfIsZero(half num)
{
#ifdef FLT16_SUPPORT
return num == 0;
#else
return (num << 1) == 0x0000;
#endif
}
/*
* Convert a float4 to a half
*/
static half
Float4ToHalf(float num)
{
half result = Float4ToHalfUnchecked(num);
if (unlikely(HalfIsInf(result)) && !isinf(num))
float_overflow_error();
if (unlikely(HalfIsZero(result)) && num != 0.0)
float_underflow_error();
return result;
}
/*
* Convert a float8 to a half
*/
static half
Float8ToHalf(double num)
{
/* TODO Convert directly for greater accuracy */
half result = Float4ToHalfUnchecked((float) num);
if (unlikely(HalfIsInf(result)) && !isinf(num))
float_overflow_error();
if (unlikely(HalfIsZero(result)) && num != 0.0)
float_underflow_error();
return result;
}
/*
* Convert textual representation to internal representation
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(half_in);
Datum
half_in(PG_FUNCTION_ARGS)
{
char *num = PG_GETARG_CSTRING(0);
char *orig_num;
float val;
char *endptr;
orig_num = num;
/* Skip leading whitespace */
while (*num != '\0' && isspace((unsigned char) *num))
num++;
/*
* Check for an empty-string input to begin with, to avoid the vagaries of
* strtof() on different platforms.
*/
if (*num == '\0')
ereport(ERROR,
(errcode(ERRCODE_INVALID_TEXT_REPRESENTATION),
errmsg("invalid input syntax for type %s: \"%s\"",
"half", orig_num)));
val = strtof(num, &endptr);
if (val < -HALF_MAX || val > HALF_MAX)
ereport(ERROR,
(errcode(ERRCODE_NUMERIC_VALUE_OUT_OF_RANGE),
errmsg("\"%s\" is out of range for type %s",
orig_num, "half")));
/* Skip trailing whitespace */
while (*endptr != '\0' && isspace((unsigned char) *endptr))
endptr++;
/* If there is any junk left at the end of the string, bail out */
if (*endptr != '\0')
ereport(ERROR,
(errcode(ERRCODE_INVALID_TEXT_REPRESENTATION),
errmsg("invalid input syntax for type %s: \"%s\"",
"half", orig_num)));
PG_RETURN_HALF(Float4ToHalf(val));
}
/*
* Convert internal representation to textual representation
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(half_out);
Datum
half_out(PG_FUNCTION_ARGS)
{
float num = HalfToFloat4(PG_GETARG_HALF(0));
char *ascii = (char *) palloc(32);
int ndig = FLT_DIG + extra_float_digits;
if (extra_float_digits > 0)
{
float_to_shortest_decimal_buf(num, ascii);
PG_RETURN_CSTRING(ascii);
}
(void) pg_strfromd(ascii, 32, ndig, num);
PG_RETURN_CSTRING(ascii);
}
/*
* Convert external binary representation to internal representation
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(half_recv);
Datum
half_recv(PG_FUNCTION_ARGS)
{
StringInfo buf = (StringInfo) PG_GETARG_POINTER(0);
PG_RETURN_HALF(pq_getmsghalf(buf));
}
/*
* Convert internal representation to the external binary representation
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(half_send);
Datum
half_send(PG_FUNCTION_ARGS)
{
half arg1 = PG_GETARG_HALF(0);
StringInfoData buf;
pq_begintypsend(&buf);
pq_sendhalf(&buf, arg1);
PG_RETURN_BYTEA_P(pq_endtypsend(&buf));
}
/*
* Convert integer to half
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(integer_to_half);
Datum
integer_to_half(PG_FUNCTION_ARGS)
{
int32 i = PG_GETARG_INT32(0);
/* TODO Figure out correct error */
float f = (float) i;
half h = Float4ToHalf(f);
PG_RETURN_HALF(h);
}
/*
* Convert numeric to half
*
* TODO Improve error message if out of range
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(numeric_to_half);
Datum
numeric_to_half(PG_FUNCTION_ARGS)
{
Numeric num = PG_GETARG_NUMERIC(0);
float f = DatumGetFloat4(DirectFunctionCall1(numeric_float4, NumericGetDatum(num)));
half h = Float4ToHalf(f);
PG_RETURN_HALF(h);
}
/*
* Convert half to numeric
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(half_to_numeric);
Datum
half_to_numeric(PG_FUNCTION_ARGS)
{
half h = PG_GETARG_HALF(0);
float f = HalfToFloat4(h);
Numeric num = DatumGetNumeric(DirectFunctionCall1(float4_numeric, Float4GetDatum(f)));
PG_RETURN_NUMERIC(num);
}
/*
* Convert float4 to half
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(float4_to_half);
Datum
float4_to_half(PG_FUNCTION_ARGS)
{
float f = PG_GETARG_FLOAT4(0);
half h = Float4ToHalf(f);
PG_RETURN_HALF(h);
}
/*
* Convert half to float4
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(half_to_float4);
Datum
half_to_float4(PG_FUNCTION_ARGS)
{
half h = PG_GETARG_HALF(0);
float f = HalfToFloat4(h);
PG_RETURN_FLOAT4(f);
}
/*
* Convert float8 to half
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(float8_to_half);
Datum
float8_to_half(PG_FUNCTION_ARGS)
{
float8 d = PG_GETARG_FLOAT8(0);
half h = Float8ToHalf(d);
PG_RETURN_HALF(h);
}
/*
* Convert half to float8
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(half_to_float8);
Datum
half_to_float8(PG_FUNCTION_ARGS)
{
half h = PG_GETARG_HALF(0);
float f = HalfToFloat4(h);
PG_RETURN_FLOAT8((double) f);
}
/*
* Get the L2 distance between half arrays
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(half_l2_distance);
Datum
half_l2_distance(PG_FUNCTION_ARGS)
{
ArrayType *a = PG_GETARG_ARRAYTYPE_P(0);
ArrayType *b = PG_GETARG_ARRAYTYPE_P(1);
half *ax = (half *) ARR_DATA_PTR(a);
half *bx = (half *) ARR_DATA_PTR(b);
float distance = 0.0;
int dim = CheckDims(a, b);
/* Auto-vectorized */
for (int i = 0; i < dim; i++)
{
float diff = HalfToFloat4(ax[i]) - HalfToFloat4(bx[i]);
distance += diff * diff;
}
PG_RETURN_FLOAT8(sqrt((double) distance));
}
/*
* Get the L2 squared distance between half arrays
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(half_l2_squared_distance);
Datum
half_l2_squared_distance(PG_FUNCTION_ARGS)
{
ArrayType *a = PG_GETARG_ARRAYTYPE_P(0);
ArrayType *b = PG_GETARG_ARRAYTYPE_P(1);
half *ax = (half *) ARR_DATA_PTR(a);
half *bx = (half *) ARR_DATA_PTR(b);
float distance = 0.0;
int dim = CheckDims(a, b);
/* Auto-vectorized */
for (int i = 0; i < dim; i++)
{
float diff = HalfToFloat4(ax[i]) - HalfToFloat4(bx[i]);
distance += diff * diff;
}
PG_RETURN_FLOAT8((double) distance);
}
/*
* Get the inner product of two half arrays
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(half_inner_product);
Datum
half_inner_product(PG_FUNCTION_ARGS)
{
ArrayType *a = PG_GETARG_ARRAYTYPE_P(0);
ArrayType *b = PG_GETARG_ARRAYTYPE_P(1);
half *ax = (half *) ARR_DATA_PTR(a);
half *bx = (half *) ARR_DATA_PTR(b);
float distance = 0.0;
int dim = CheckDims(a, b);
/* Auto-vectorized */
for (int i = 0; i < dim; i++)
distance += HalfToFloat4(ax[i]) * HalfToFloat4(bx[i]);
PG_RETURN_FLOAT8((double) distance);
}
/*
* Get the negative inner product of two half arrays
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(half_negative_inner_product);
Datum
half_negative_inner_product(PG_FUNCTION_ARGS)
{
ArrayType *a = PG_GETARG_ARRAYTYPE_P(0);
ArrayType *b = PG_GETARG_ARRAYTYPE_P(1);
half *ax = (half *) ARR_DATA_PTR(a);
half *bx = (half *) ARR_DATA_PTR(b);
float distance = 0.0;
int dim = CheckDims(a, b);
/* Auto-vectorized */
for (int i = 0; i < dim; i++)
distance += HalfToFloat4(ax[i]) * HalfToFloat4(bx[i]);
PG_RETURN_FLOAT8((double) distance * -1);
}
/*
* Get the cosine distance between two half arrays
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(half_cosine_distance);
Datum
half_cosine_distance(PG_FUNCTION_ARGS)
{
ArrayType *a = PG_GETARG_ARRAYTYPE_P(0);
ArrayType *b = PG_GETARG_ARRAYTYPE_P(1);
half *ax = (half *) ARR_DATA_PTR(a);
half *bx = (half *) ARR_DATA_PTR(b);
float distance = 0.0;
float norma = 0.0;
float normb = 0.0;
double similarity;
int dim = CheckDims(a, b);
/* Auto-vectorized */
for (int i = 0; i < dim; i++)
{
float axi = HalfToFloat4(ax[i]);
float bxi = HalfToFloat4(bx[i]);
distance += axi * bxi;
norma += axi * axi;
normb += bxi * bxi;
}
/* Use sqrt(a * b) over sqrt(a) * sqrt(b) */
similarity = (double) distance / sqrt((double) norma * (double) normb);
#ifdef _MSC_VER
/* /fp:fast may not propagate NaN */
if (isnan(similarity))
PG_RETURN_FLOAT8(NAN);
#endif
/* Keep in range */
if (similarity > 1)
similarity = 1;
else if (similarity < -1)
similarity = -1;
PG_RETURN_FLOAT8(1 - similarity);
}
/*
* Get the L1 distance between two half arrays
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(half_l1_distance);
Datum
half_l1_distance(PG_FUNCTION_ARGS)
{
ArrayType *a = PG_GETARG_ARRAYTYPE_P(0);
ArrayType *b = PG_GETARG_ARRAYTYPE_P(1);
half *ax = (half *) ARR_DATA_PTR(a);
half *bx = (half *) ARR_DATA_PTR(b);
float distance = 0.0;
int dim = CheckDims(a, b);
/* Auto-vectorized */
for (int i = 0; i < dim; i++)
distance += fabsf(HalfToFloat4(ax[i]) - HalfToFloat4(bx[i]));
PG_RETURN_FLOAT8((double) distance);
}

View File

@@ -1,23 +0,0 @@
#ifndef HALF_H
#define HALF_H
#define __STDC_WANT_IEC_60559_TYPES_EXT__
#include <float.h>
#ifdef __FLT16_MAX__
#define FLT16_SUPPORT
#endif
#ifdef FLT16_SUPPORT
#define half _Float16
#define HALF_MAX FLT16_MAX
#else
#define half uint16
#define HALF_MAX 65504
#endif
#define PG_GETARG_HALF(n) DatumGetHalf(PG_GETARG_DATUM(n))
#define PG_RETURN_HALF(x) return HalfGetDatum(x)
#endif

View File

@@ -94,6 +94,20 @@ hnswcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
return; return;
} }
/*
* Do not use index if no limit or limit + offset > ef_search unless
* enable_seqscan = off
*/
if (root->limit_tuples < 0 || root->limit_tuples > hnsw_ef_search)
{
*indexStartupCost = 1.0e10 - 1;
*indexTotalCost = 1.0e10 - 1;
*indexSelectivity = 0;
*indexCorrelation = 0;
*indexPages = 0;
return;
}
MemSet(&costs, 0, sizeof(costs)); MemSet(&costs, 0, sizeof(costs));
index = index_open(path->indexinfo->indexoid, NoLock); index = index_open(path->indexinfo->indexoid, NoLock);

View File

@@ -6,6 +6,7 @@
#include "access/generic_xlog.h" #include "access/generic_xlog.h"
#include "access/parallel.h" #include "access/parallel.h"
#include "access/reloptions.h" #include "access/reloptions.h"
#include "lib/ilist.h"
#include "nodes/execnodes.h" #include "nodes/execnodes.h"
#include "port.h" /* for random() */ #include "port.h" /* for random() */
#include "utils/sampling.h" #include "utils/sampling.h"
@@ -72,8 +73,10 @@
#if PG_VERSION_NUM >= 150000 #if PG_VERSION_NUM >= 150000
#define RandomDouble() pg_prng_double(&pg_global_prng_state) #define RandomDouble() pg_prng_double(&pg_global_prng_state)
#define SeedRandom(seed) pg_prng_seed(&pg_global_prng_state, seed)
#else #else
#define RandomDouble() (((double) random()) / MAX_RANDOM_VALUE) #define RandomDouble() (((double) random()) / MAX_RANDOM_VALUE)
#define SeedRandom(seed) srandom(seed)
#endif #endif
#if PG_VERSION_NUM < 130000 #if PG_VERSION_NUM < 130000
@@ -91,20 +94,23 @@
#define HnswGetMl(m) (1 / log(m)) #define HnswGetMl(m) (1 / log(m))
/* Ensure fits on page and in uint8 */ /* 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 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])
/* Variables */ /* Variables */
extern int hnsw_ef_search; extern int hnsw_ef_search;
extern bool hnsw_enable_parallel_build; extern bool hnsw_enable_parallel_build;
typedef struct HnswNeighborArray HnswNeighborArray;
typedef struct HnswElementData typedef struct HnswElementData
{ {
List *heaptids; slist_node next;
ItemPointerData heaptids[HNSW_HEAPTIDS];
uint8 heaptidsLength;
uint8 level; uint8 level;
uint8 deleted; uint8 deleted;
HnswNeighborArray *neighbors; uint32 hash;
struct HnswNeighborArray *neighbors;
BlockNumber blkno; BlockNumber blkno;
OffsetNumber offno; OffsetNumber offno;
OffsetNumber neighborOffno; OffsetNumber neighborOffno;
@@ -142,6 +148,16 @@ typedef struct HnswOptions
int efConstruction; /* size of dynamic candidate list */ int efConstruction; /* size of dynamic candidate list */
} HnswOptions; } HnswOptions;
typedef struct HnswGraph
{
slist_head elements;
HnswElement entryPoint;
long memoryUsed;
long memoryTotal;
bool flushed;
double indtuples;
} HnswGraph;
typedef struct HnswSpool typedef struct HnswSpool
{ {
Relation heap; Relation heap;
@@ -165,7 +181,7 @@ typedef struct HnswShared
/* Mutable state */ /* Mutable state */
int nparticipantsdone; int nparticipantsdone;
double reltuples; double reltuples;
double indtuples; HnswGraph graphData;
#if PG_VERSION_NUM < 120000 #if PG_VERSION_NUM < 120000
ParallelHeapScanDescData heapdesc; /* must come last */ ParallelHeapScanDescData heapdesc; /* must come last */
@@ -208,15 +224,14 @@ typedef struct HnswBuildState
Oid collation; Oid collation;
/* Variables */ /* Variables */
List *elements; HnswGraph graphData;
HnswElement entryPoint; HnswGraph *graph;
double ml; double ml;
int maxLevel; int maxLevel;
long memoryLeft;
bool flushed;
Vector *normvec; Vector *normvec;
/* Memory */ /* Memory */
MemoryContext graphCtx;
MemoryContext tmpCtx; MemoryContext tmpCtx;
/* Parallel builds */ /* Parallel builds */
@@ -303,7 +318,7 @@ typedef struct HnswVacuumState
Oid collation; Oid collation;
/* Variables */ /* Variables */
HTAB *deleted; struct tidhash_hash *deleted;
BufferAccessStrategy bas; BufferAccessStrategy bas;
HnswNeighborTuple ntup; HnswNeighborTuple ntup;
HnswElementData highestPoint; HnswElementData highestPoint;
@@ -317,26 +332,22 @@ int HnswGetM(Relation index);
int HnswGetEfConstruction(Relation index); int HnswGetEfConstruction(Relation index);
FmgrInfo *HnswOptionalProcInfo(Relation index, uint16 procnum); FmgrInfo *HnswOptionalProcInfo(Relation index, uint16 procnum);
bool HnswNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result); bool HnswNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result);
void HnswCommitBuffer(Buffer buf, GenericXLogState *state);
Buffer HnswNewBuffer(Relation index, ForkNumber forkNum); Buffer HnswNewBuffer(Relation index, ForkNumber forkNum);
void HnswInitPage(Buffer buf, Page page); void HnswInitPage(Buffer buf, Page page);
void HnswInitRegisterPage(Relation index, Buffer *buf, Page *page, GenericXLogState **state);
void HnswInit(void); 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); 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); HnswElement HnswGetEntryPoint(Relation index);
void HnswGetMetaPageInfo(Relation index, int *m, HnswElement * entryPoint); void HnswGetMetaPageInfo(Relation index, int *m, HnswElement * entryPoint);
HnswElement HnswInitElement(ItemPointer tid, int m, double ml, int maxLevel); HnswElement HnswInitElement(ItemPointer tid, int m, double ml, int maxLevel);
void HnswFreeElement(HnswElement element);
HnswElement HnswInitElementFromBlock(BlockNumber blkno, OffsetNumber offno); HnswElement HnswInitElementFromBlock(BlockNumber blkno, OffsetNumber offno);
void HnswInsertElement(HnswElement element, HnswElement entryPoint, Relation index, FmgrInfo *procinfo, Oid collation, int m, int efConstruction, bool existing); 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); 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); void HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum, bool building);
void HnswSetNeighborTuple(HnswNeighborTuple ntup, HnswElement e, int m); void HnswSetNeighborTuple(HnswNeighborTuple ntup, HnswElement e, int m);
void HnswAddHeapTid(HnswElement element, ItemPointer heaptid); void HnswAddHeapTid(HnswElement element, ItemPointer heaptid);
void HnswInitNeighbors(HnswElement element, int m); void HnswInitNeighbors(HnswElement element, int m);
bool HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel); 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); void HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement e, int m, bool checkExisting, bool building);
void HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHeaptids, bool loadVec); void 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 HnswLoadElement(HnswElement element, float *distance, Datum *q, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec);
void HnswSetElementTuple(HnswElementTuple etup, HnswElement element); void HnswSetElementTuple(HnswElementTuple etup, HnswElement element);
@@ -360,4 +371,31 @@ void hnswrescan(IndexScanDesc scan, ScanKey keys, int nkeys, ScanKey orderbys,
bool hnswgettuple(IndexScanDesc scan, ScanDirection dir); bool hnswgettuple(IndexScanDesc scan, ScanDirection dir);
void hnswendscan(IndexScanDesc scan); 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 #endif

View File

@@ -56,6 +56,10 @@
#define PARALLEL_KEY_HNSW_SHARED UINT64CONST(0xA000000000000001) #define PARALLEL_KEY_HNSW_SHARED UINT64CONST(0xA000000000000001)
#define PARALLEL_KEY_QUERY_TEXT UINT64CONST(0xA000000000000002) #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 * Create the metapage
*/ */
@@ -66,11 +70,11 @@ CreateMetaPage(HnswBuildState * buildstate)
ForkNumber forkNum = buildstate->forkNum; ForkNumber forkNum = buildstate->forkNum;
Buffer buf; Buffer buf;
Page page; Page page;
GenericXLogState *state;
HnswMetaPage metap; HnswMetaPage metap;
buf = HnswNewBuffer(index, forkNum); buf = HnswNewBuffer(index, forkNum);
HnswInitRegisterPage(index, &buf, &page, &state); page = BufferGetPage(buf);
HnswInitPage(buf, page);
/* Set metapage data */ /* Set metapage data */
metap = HnswPageGetMeta(page); metap = HnswPageGetMeta(page);
@@ -86,14 +90,15 @@ CreateMetaPage(HnswBuildState * buildstate)
((PageHeader) page)->pd_lower = ((PageHeader) page)->pd_lower =
((char *) metap + sizeof(HnswMetaPageData)) - (char *) page; ((char *) metap + sizeof(HnswMetaPageData)) - (char *) page;
HnswCommitBuffer(buf, state); MarkBufferDirty(buf);
UnlockReleaseBuffer(buf);
} }
/* /*
* Add a new page * Add a new page
*/ */
static void static void
HnswBuildAppendPage(Relation index, Buffer *buf, Page *page, GenericXLogState **state, ForkNumber forkNum) HnswBuildAppendPage(Relation index, Buffer *buf, Page *page, ForkNumber forkNum)
{ {
/* Add a new page */ /* Add a new page */
Buffer newbuf = HnswNewBuffer(index, forkNum); Buffer newbuf = HnswNewBuffer(index, forkNum);
@@ -102,7 +107,7 @@ HnswBuildAppendPage(Relation index, Buffer *buf, Page *page, GenericXLogState **
HnswPageGetOpaque(*page)->nextblkno = BufferGetBlockNumber(newbuf); HnswPageGetOpaque(*page)->nextblkno = BufferGetBlockNumber(newbuf);
/* Commit */ /* Commit */
GenericXLogFinish(*state); MarkBufferDirty(*buf);
UnlockReleaseBuffer(*buf); UnlockReleaseBuffer(*buf);
/* Can take a while, so ensure we can interrupt */ /* Can take a while, so ensure we can interrupt */
@@ -113,8 +118,7 @@ HnswBuildAppendPage(Relation index, Buffer *buf, Page *page, GenericXLogState **
/* Prepare new page */ /* Prepare new page */
*buf = newbuf; *buf = newbuf;
*state = GenericXLogStart(index); *page = BufferGetPage(*buf);
*page = GenericXLogRegisterBuffer(*state, *buf, GENERIC_XLOG_FULL_IMAGE);
HnswInitPage(*buf, *page); HnswInitPage(*buf, *page);
} }
@@ -133,8 +137,7 @@ CreateElementPages(HnswBuildState * buildstate)
BlockNumber insertPage; BlockNumber insertPage;
Buffer buf; Buffer buf;
Page page; Page page;
GenericXLogState *state; slist_iter iter;
ListCell *lc;
/* Calculate sizes */ /* Calculate sizes */
etupAllocSize = BLCKSZ; etupAllocSize = BLCKSZ;
@@ -146,13 +149,12 @@ CreateElementPages(HnswBuildState * buildstate)
/* Prepare first page */ /* Prepare first page */
buf = HnswNewBuffer(index, forkNum); buf = HnswNewBuffer(index, forkNum);
state = GenericXLogStart(index); page = BufferGetPage(buf);
page = GenericXLogRegisterBuffer(state, buf, GENERIC_XLOG_FULL_IMAGE);
HnswInitPage(buf, page); HnswInitPage(buf, page);
foreach(lc, buildstate->elements) slist_foreach(iter, &buildstate->graph->elements)
{ {
HnswElement element = lfirst(lc); HnswElement element = slist_container(HnswElementData, next, iter.cur);
Size etupSize; Size etupSize;
Size ntupSize; Size ntupSize;
Size combinedSize; Size combinedSize;
@@ -173,7 +175,7 @@ CreateElementPages(HnswBuildState * buildstate)
/* Keep element and neighbors on the same page if possible */ /* Keep element and neighbors on the same page if possible */
if (PageGetFreeSpace(page) < etupSize || (combinedSize <= maxSize && PageGetFreeSpace(page) < combinedSize)) if (PageGetFreeSpace(page) < etupSize || (combinedSize <= maxSize && PageGetFreeSpace(page) < combinedSize))
HnswBuildAppendPage(index, &buf, &page, &state, forkNum); HnswBuildAppendPage(index, &buf, &page, forkNum);
/* Calculate offsets */ /* Calculate offsets */
element->blkno = BufferGetBlockNumber(buf); element->blkno = BufferGetBlockNumber(buf);
@@ -197,7 +199,7 @@ CreateElementPages(HnswBuildState * buildstate)
/* Add new page if needed */ /* Add new page if needed */
if (PageGetFreeSpace(page) < ntupSize) if (PageGetFreeSpace(page) < ntupSize)
HnswBuildAppendPage(index, &buf, &page, &state, forkNum); HnswBuildAppendPage(index, &buf, &page, forkNum);
/* Add placeholder for neighbors */ /* Add placeholder for neighbors */
if (PageAddItem(page, (Item) ntup, ntupSize, InvalidOffsetNumber, false, false) != element->neighborOffno) if (PageAddItem(page, (Item) ntup, ntupSize, InvalidOffsetNumber, false, false) != element->neighborOffno)
@@ -207,10 +209,10 @@ CreateElementPages(HnswBuildState * buildstate)
insertPage = BufferGetBlockNumber(buf); insertPage = BufferGetBlockNumber(buf);
/* Commit */ /* Commit */
GenericXLogFinish(state); MarkBufferDirty(buf);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_ALWAYS, buildstate->entryPoint, insertPage, forkNum); HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_ALWAYS, buildstate->graph->entryPoint, insertPage, forkNum, true);
pfree(etup); pfree(etup);
pfree(ntup); pfree(ntup);
@@ -225,18 +227,17 @@ CreateNeighborPages(HnswBuildState * buildstate)
Relation index = buildstate->index; Relation index = buildstate->index;
ForkNumber forkNum = buildstate->forkNum; ForkNumber forkNum = buildstate->forkNum;
int m = buildstate->m; int m = buildstate->m;
ListCell *lc; slist_iter iter;
HnswNeighborTuple ntup; HnswNeighborTuple ntup;
/* Allocate once */ /* Allocate once */
ntup = palloc0(BLCKSZ); ntup = palloc0(BLCKSZ);
foreach(lc, buildstate->elements) slist_foreach(iter, &buildstate->graph->elements)
{ {
HnswElement e = lfirst(lc); HnswElement e = slist_container(HnswElementData, next, iter.cur);
Buffer buf; Buffer buf;
Page page; Page page;
GenericXLogState *state;
Size ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(e->level, m); Size ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(e->level, m);
/* Can take a while, so ensure we can interrupt */ /* Can take a while, so ensure we can interrupt */
@@ -245,8 +246,7 @@ CreateNeighborPages(HnswBuildState * buildstate)
buf = ReadBufferExtended(index, forkNum, e->neighborPage, RBM_NORMAL, NULL); buf = ReadBufferExtended(index, forkNum, e->neighborPage, RBM_NORMAL, NULL);
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE); LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
state = GenericXLogStart(index); page = BufferGetPage(buf);
page = GenericXLogRegisterBuffer(state, buf, 0);
HnswSetNeighborTuple(ntup, e, m); HnswSetNeighborTuple(ntup, e, m);
@@ -254,26 +254,30 @@ CreateNeighborPages(HnswBuildState * buildstate)
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index)); elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
/* Commit */ /* Commit */
GenericXLogFinish(state); MarkBufferDirty(buf);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
} }
pfree(ntup); pfree(ntup);
} }
#ifdef HNSW_MEMORY
/* /*
* Free elements * Show memory usage
*/ */
static void static void
FreeElements(HnswBuildState * buildstate) ShowMemoryUsage(HnswBuildState * buildstate)
{ {
ListCell *lc; #if PG_VERSION_NUM >= 130000
elog(INFO, "graph memory: %zu MB, total memory: %zu MB",
foreach(lc, buildstate->elements) MemoryContextMemAllocated(buildstate->graphCtx, false) / (1024 * 1024),
HnswFreeElement(lfirst(lc)); MemoryContextMemAllocated(CurrentMemoryContext, true) / (1024 * 1024));
#else
list_free(buildstate->elements); MemoryContextStats(CurrentMemoryContext);
elog(INFO, "estimated memory: %zu MB", buildstate->memoryUsed / (1024 * 1024));
#endif
} }
#endif
/* /*
* Flush pages * Flush pages
@@ -281,26 +285,78 @@ FreeElements(HnswBuildState * buildstate)
static void static void
FlushPages(HnswBuildState * buildstate) FlushPages(HnswBuildState * buildstate)
{ {
#ifdef HNSW_MEMORY
ShowMemoryUsage(buildstate);
#endif
CreateMetaPage(buildstate); CreateMetaPage(buildstate);
CreateElementPages(buildstate); CreateElementPages(buildstate);
CreateNeighborPages(buildstate); CreateNeighborPages(buildstate);
buildstate->flushed = true; buildstate->graph->flushed = true;
FreeElements(buildstate); MemoryContextReset(buildstate->graphCtx);
}
#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
*/
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 * Insert tuple into in-memory graph
*/ */
static bool static bool
InsertTuple(Relation index, Datum *values, HnswElement element, HnswBuildState * buildstate, HnswElement * dup, MemoryContext outerCtx) InsertTupleInMemory(Relation index, Datum *values, ItemPointer heaptid, HnswBuildState * buildstate)
{ {
FmgrInfo *procinfo = buildstate->procinfo; FmgrInfo *procinfo = buildstate->procinfo;
Oid collation = buildstate->collation; Oid collation = buildstate->collation;
HnswElement entryPoint = buildstate->entryPoint; HnswGraph *graph = buildstate->graph;
HnswElement entryPoint = graph->entryPoint;
int efConstruction = buildstate->efConstruction; int efConstruction = buildstate->efConstruction;
int m = buildstate->m; int m = buildstate->m;
MemoryContext oldCtx; MemoryContext oldCtx;
HnswElement element;
/* Detoast once for all calls */ /* Detoast once for all calls */
Datum value = PointerGetDatum(PG_DETOAST_DATUM(values[0])); Datum value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
@@ -312,52 +368,67 @@ InsertTuple(Relation index, Datum *values, HnswElement element, HnswBuildState *
return false; return false;
} }
/* Copy value to element so accessible outside of memory context */ /* Allocate element in graph memory context */
oldCtx = MemoryContextSwitchTo(outerCtx); oldCtx = MemoryContextSwitchTo(buildstate->graphCtx);
element = HnswInitElement(heaptid, buildstate->m, buildstate->ml, buildstate->maxLevel);
element->value = datumCopy(value, false, -1); element->value = datumCopy(value, false, -1);
MemoryContextSwitchTo(oldCtx); MemoryContextSwitchTo(oldCtx);
/* Update memory usage */
#if PG_VERSION_NUM >= 130000
graph->memoryUsed = MemoryContextMemAllocated(buildstate->graphCtx, false);
#else
graph->memoryUsed += HnswElementMemory(element, buildstate->m);
#endif
/* Insert element in graph */ /* Insert element in graph */
HnswInsertElement(element, entryPoint, NULL, procinfo, collation, m, efConstruction, false); HnswInsertElement(element, entryPoint, NULL, procinfo, collation, m, efConstruction, false);
/* Look for duplicate */ /* Look for duplicate */
*dup = HnswFindDuplicate(element); if (HnswFindDuplicateInMemory(element))
/* Update neighbors if needed */
if (*dup == NULL)
{ {
for (int lc = element->level; lc >= 0; lc--) /* No need to free element since memory unlikely to be reallocated */
{ return true;
int lm = HnswGetLayerM(m, lc); }
HnswNeighborArray *neighbors = &element->neighbors[lc];
for (int i = 0; i < neighbors->length; i++) /* Add element */
HnswUpdateConnection(element, &neighbors->items[i], lm, lc, NULL, NULL, procinfo, collation); 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);
} }
/* Update entry point if needed */ /* Update entry point if needed */
if (*dup == NULL && (entryPoint == NULL || element->level > entryPoint->level)) if (entryPoint == NULL || element->level > entryPoint->level)
buildstate->entryPoint = element; graph->entryPoint = element;
UpdateProgress(PROGRESS_CREATEIDX_TUPLES_DONE, ++buildstate->indtuples); return true;
return *dup == NULL;
} }
/* /*
* Get the memory used by an element * Acquire a lock if needed
*/ */
static long static inline void
HnswElementMemory(HnswElement e, int m) HnswLockAcquire(HnswShared * hnswshared)
{ {
long elementSize = sizeof(HnswElementData); if (hnswshared)
SpinLockAcquire(&hnswshared->mutex);
}
elementSize += sizeof(HnswNeighborArray) * (e->level + 1); /*
elementSize += sizeof(HnswCandidate) * (m * (e->level + 2)); * Release a lock if needed
elementSize += sizeof(ItemPointerData); */
elementSize += VARSIZE_ANY(DatumGetPointer(e->value)); static inline void
return elementSize; HnswLockRelease(HnswShared * hnswshared)
{
if (hnswshared)
SpinLockRelease(&hnswshared->mutex);
} }
/* /*
@@ -368,9 +439,9 @@ BuildCallback(Relation index, CALLBACK_ITEM_POINTER, Datum *values,
bool *isnull, bool tupleIsAlive, void *state) bool *isnull, bool tupleIsAlive, void *state)
{ {
HnswBuildState *buildstate = (HnswBuildState *) state; HnswBuildState *buildstate = (HnswBuildState *) state;
HnswGraph *graph = buildstate->graph;
HnswShared *hnswshared = buildstate->hnswshared;
MemoryContext oldCtx; MemoryContext oldCtx;
HnswElement element;
HnswElement dup = NULL;
bool inserted; bool inserted;
#if PG_VERSION_NUM < 130000 #if PG_VERSION_NUM < 130000
@@ -381,69 +452,50 @@ BuildCallback(Relation index, CALLBACK_ITEM_POINTER, Datum *values,
if (isnull[0]) if (isnull[0])
return; return;
if (buildstate->memoryLeft <= 0) /* Flush pages if needed */
if (!graph->flushed && graph->memoryUsed >= graph->memoryTotal)
{ {
if (!buildstate->flushed) ereport(NOTICE,
{ (errmsg("hnsw graph no longer fits into maintenance_work_mem after " INT64_FORMAT " tuples", (int64) graph->indtuples),
ereport(NOTICE, errdetail("Building will take significantly more time."),
(errmsg("hnsw graph no longer fits into maintenance_work_mem after " INT64_FORMAT " tuples", (int64) buildstate->indtuples), errhint("Increase maintenance_work_mem to speed up builds.")));
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))
{
if (buildstate->hnswshared)
{
HnswShared *hnswshared = buildstate->hnswshared;
SpinLockAcquire(&hnswshared->mutex);
UpdateProgress(PROGRESS_CREATEIDX_TUPLES_DONE, ++hnswshared->indtuples);
SpinLockRelease(&hnswshared->mutex);
}
else
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);
/* Use memory context since detoast can allocate */
oldCtx = MemoryContextSwitchTo(buildstate->tmpCtx); oldCtx = MemoryContextSwitchTo(buildstate->tmpCtx);
/* Insert tuple */ /* Insert tuple */
inserted = InsertTuple(index, values, element, buildstate, &dup, oldCtx); 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);
}
/* Reset memory context */ /* Reset memory context */
MemoryContextSwitchTo(oldCtx); MemoryContextSwitchTo(oldCtx);
MemoryContextReset(buildstate->tmpCtx); MemoryContextReset(buildstate->tmpCtx);
}
/* Add outside memory context */ /*
if (dup != NULL) * Initialize the graph
{ */
HnswAddHeapTid(dup, tid); static void
buildstate->memoryLeft -= sizeof(ItemPointerData); InitGraph(HnswGraph * graph)
} {
slist_init(&graph->elements);
/* Add to buildstate or free */ graph->entryPoint = NULL;
if (inserted) graph->memoryUsed = 0;
{ graph->memoryTotal = maintenance_work_mem * 1024L;
buildstate->elements = lappend(buildstate->elements, element); graph->flushed = false;
buildstate->memoryLeft -= HnswElementMemory(element, buildstate->m); graph->indtuples = 0;
}
else
HnswFreeElement(element);
} }
/* /*
@@ -479,16 +531,20 @@ InitBuildState(HnswBuildState * buildstate, Relation heap, Relation index, Index
buildstate->normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC); buildstate->normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
buildstate->collation = index->rd_indcollation[0]; buildstate->collation = index->rd_indcollation[0];
buildstate->elements = NIL; InitGraph(&buildstate->graphData);
buildstate->entryPoint = NULL; buildstate->graph = &buildstate->graphData;
buildstate->ml = HnswGetMl(buildstate->m); buildstate->ml = HnswGetMl(buildstate->m);
buildstate->maxLevel = HnswGetMaxLevel(buildstate->m); buildstate->maxLevel = HnswGetMaxLevel(buildstate->m);
buildstate->memoryLeft = maintenance_work_mem * 1024L;
buildstate->flushed = false;
/* Reuse for each tuple */ /* Reuse for each tuple */
buildstate->normvec = InitVector(buildstate->dimensions); 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, buildstate->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
"Hnsw build temporary context", "Hnsw build temporary context",
ALLOCSET_DEFAULT_SIZES); ALLOCSET_DEFAULT_SIZES);
@@ -504,6 +560,7 @@ static void
FreeBuildState(HnswBuildState * buildstate) FreeBuildState(HnswBuildState * buildstate)
{ {
pfree(buildstate->normvec); pfree(buildstate->normvec);
MemoryContextDelete(buildstate->graphCtx);
MemoryContextDelete(buildstate->tmpCtx); MemoryContextDelete(buildstate->tmpCtx);
} }
@@ -523,7 +580,7 @@ ParallelHeapScan(HnswBuildState * buildstate)
SpinLockAcquire(&hnswshared->mutex); SpinLockAcquire(&hnswshared->mutex);
if (hnswshared->nparticipantsdone == nparticipanttuplesorts) if (hnswshared->nparticipantsdone == nparticipanttuplesorts)
{ {
buildstate->indtuples = hnswshared->indtuples; buildstate->graph = &hnswshared->graphData;
reltuples = hnswshared->reltuples; reltuples = hnswshared->reltuples;
SpinLockRelease(&hnswshared->mutex); SpinLockRelease(&hnswshared->mutex);
break; break;
@@ -558,9 +615,7 @@ HnswParallelScanAndInsert(HnswSpool * hnswspool, HnswShared * hnswshared, bool p
indexInfo = BuildIndexInfo(hnswspool->index); indexInfo = BuildIndexInfo(hnswspool->index);
indexInfo->ii_Concurrent = hnswshared->isconcurrent; indexInfo->ii_Concurrent = hnswshared->isconcurrent;
InitBuildState(&buildstate, hnswspool->heap, hnswspool->index, indexInfo, MAIN_FORKNUM); InitBuildState(&buildstate, hnswspool->heap, hnswspool->index, indexInfo, MAIN_FORKNUM);
/* TODO Support in-memory builds */ buildstate.graph = &hnswshared->graphData;
buildstate.memoryLeft = 0;
buildstate.flushed = true;
buildstate.hnswshared = hnswshared; buildstate.hnswshared = hnswshared;
#if PG_VERSION_NUM >= 120000 #if PG_VERSION_NUM >= 120000
scan = table_beginscan_parallel(hnswspool->heap, scan = table_beginscan_parallel(hnswspool->heap,
@@ -785,7 +840,10 @@ HnswBeginParallel(HnswBuildState * buildstate, bool isconcurrent, int request)
/* Initialize mutable state */ /* Initialize mutable state */
hnswshared->nparticipantsdone = 0; hnswshared->nparticipantsdone = 0;
hnswshared->reltuples = 0; hnswshared->reltuples = 0;
hnswshared->indtuples = 0; InitGraph(&hnswshared->graphData);
/* TODO Support in-memory builds */
hnswshared->graphData.memoryTotal = 0;
hnswshared->graphData.flushed = true;
#if PG_VERSION_NUM >= 120000 #if PG_VERSION_NUM >= 120000
table_parallelscan_initialize(buildstate->heap, table_parallelscan_initialize(buildstate->heap,
ParallelTableScanFromHnswShared(hnswshared), ParallelTableScanFromHnswShared(hnswshared),
@@ -836,6 +894,27 @@ HnswBeginParallel(HnswBuildState * buildstate, bool isconcurrent, int request)
WaitForParallelWorkersToAttach(pcxt); WaitForParallelWorkersToAttach(pcxt);
} }
/*
* Compute parallel workers
*/
static int
ComputeParallelWorkers(Relation heap, Relation index)
{
int parallel_workers;
/* Make sure it's safe to use parallel workers */
parallel_workers = plan_create_index_workers(RelationGetRelid(heap), RelationGetRelid(index));
if (parallel_workers == 0)
return 0;
/* Use parallel_workers storage parameter on table if set */
parallel_workers = RelationGetParallelWorkers(heap, -1);
if (parallel_workers != -1)
return Min(parallel_workers, max_parallel_maintenance_workers);
return max_parallel_maintenance_workers;
}
/* /*
* Build graph * Build graph
*/ */
@@ -847,8 +926,8 @@ BuildGraph(HnswBuildState * buildstate, ForkNumber forkNum)
UpdateProgress(PROGRESS_CREATEIDX_SUBPHASE, PROGRESS_HNSW_PHASE_LOAD); UpdateProgress(PROGRESS_CREATEIDX_SUBPHASE, PROGRESS_HNSW_PHASE_LOAD);
/* Calculate parallel workers */ /* Calculate parallel workers */
if (hnsw_enable_parallel_build) if (buildstate->heap != NULL && hnsw_enable_parallel_build)
parallel_workers = plan_create_index_workers(RelationGetRelid(buildstate->heap), RelationGetRelid(buildstate->index)); parallel_workers = ComputeParallelWorkers(buildstate->heap, buildstate->index);
/* Attempt to launch parallel worker scan when required */ /* Attempt to launch parallel worker scan when required */
if (parallel_workers > 0) if (parallel_workers > 0)
@@ -858,25 +937,50 @@ BuildGraph(HnswBuildState * buildstate, ForkNumber forkNum)
HnswBeginParallel(buildstate, buildstate->indexInfo->ii_Concurrent, parallel_workers); HnswBeginParallel(buildstate, buildstate->indexInfo->ii_Concurrent, parallel_workers);
} }
/* Add tuples to sort */ /* Add tuples to graph */
if (buildstate->hnswleader) if (buildstate->heap != NULL)
buildstate->reltuples = ParallelHeapScan(buildstate);
else
{ {
if (buildstate->hnswleader)
buildstate->reltuples = ParallelHeapScan(buildstate);
else
{
#if PG_VERSION_NUM >= 120000 #if PG_VERSION_NUM >= 120000
buildstate->reltuples = table_index_build_scan(buildstate->heap, buildstate->index, buildstate->indexInfo, buildstate->reltuples = table_index_build_scan(buildstate->heap, buildstate->index, buildstate->indexInfo,
true, true, BuildCallback, (void *) buildstate, NULL); true, true, BuildCallback, (void *) buildstate, NULL);
#else #else
buildstate->reltuples = IndexBuildHeapScan(buildstate->heap, buildstate->index, buildstate->indexInfo, buildstate->reltuples = IndexBuildHeapScan(buildstate->heap, buildstate->index, buildstate->indexInfo,
true, BuildCallback, (void *) buildstate, NULL); true, BuildCallback, (void *) buildstate, NULL);
#endif #endif
}
buildstate->indtuples = buildstate->graph->indtuples;
} }
/* Flush pages */
if (!buildstate->graph->flushed)
FlushPages(buildstate);
/* End parallel build */ /* End parallel build */
if (buildstate->hnswleader) if (buildstate->hnswleader)
HnswEndParallel(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 * Build the index
*/ */
@@ -884,13 +988,16 @@ static void
BuildIndex(Relation heap, Relation index, IndexInfo *indexInfo, BuildIndex(Relation heap, Relation index, IndexInfo *indexInfo,
HnswBuildState * buildstate, ForkNumber forkNum) HnswBuildState * buildstate, ForkNumber forkNum)
{ {
#ifdef HNSW_MEMORY
SeedRandom(42);
#endif
InitBuildState(buildstate, heap, index, indexInfo, forkNum); InitBuildState(buildstate, heap, index, indexInfo, forkNum);
if (buildstate->heap != NULL) BuildGraph(buildstate, forkNum);
BuildGraph(buildstate, forkNum);
if (!buildstate->flushed) if (RelationNeedsWAL(index))
FlushPages(buildstate); log_newpage_range(index, forkNum, 0, RelationGetNumberOfBlocks(index), true);
FreeBuildState(buildstate); FreeBuildState(buildstate);
} }

View File

@@ -5,6 +5,7 @@
#include "hnsw.h" #include "hnsw.h"
#include "storage/bufmgr.h" #include "storage/bufmgr.h"
#include "storage/lmgr.h" #include "storage/lmgr.h"
#include "utils/datum.h"
#include "utils/memutils.h" #include "utils/memutils.h"
/* /*
@@ -92,7 +93,7 @@ HnswFreeOffset(Relation index, Buffer buf, Page page, HnswElement element, Size
* Add a new page * Add a new page
*/ */
static void static void
HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState *state, Page page) HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState *state, Page page, bool building)
{ {
/* Add a new page */ /* Add a new page */
LockRelationForExtension(index, ExclusiveLock); LockRelationForExtension(index, ExclusiveLock);
@@ -100,7 +101,11 @@ HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState
UnlockRelationForExtension(index, ExclusiveLock); UnlockRelationForExtension(index, ExclusiveLock);
/* Init new page */ /* Init new page */
*npage = GenericXLogRegisterBuffer(state, *nbuf, GENERIC_XLOG_FULL_IMAGE); if (building)
*npage = BufferGetPage(*nbuf);
else
*npage = GenericXLogRegisterBuffer(state, *nbuf, GENERIC_XLOG_FULL_IMAGE);
HnswInitPage(*nbuf, *npage); HnswInitPage(*nbuf, *npage);
/* Update previous buffer */ /* Update previous buffer */
@@ -111,7 +116,7 @@ HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState
* Add to element and neighbor pages * Add to element and neighbor pages
*/ */
static void static void
WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPage, BlockNumber *updatedInsertPage) WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPage, BlockNumber *updatedInsertPage, bool building)
{ {
Buffer buf; Buffer buf;
Page page; Page page;
@@ -151,8 +156,16 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
buf = ReadBuffer(index, currentPage); buf = ReadBuffer(index, currentPage);
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE); LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
state = GenericXLogStart(index); if (building)
page = GenericXLogRegisterBuffer(state, buf, 0); {
state = NULL;
page = BufferGetPage(buf);
}
else
{
state = GenericXLogStart(index);
page = GenericXLogRegisterBuffer(state, buf, 0);
}
/* Keep track of first page where element at level 0 can fit */ /* Keep track of first page where element at level 0 can fit */
if (!BlockNumberIsValid(newInsertPage) && PageGetFreeSpace(page) >= minCombinedSize) if (!BlockNumberIsValid(newInsertPage) && PageGetFreeSpace(page) >= minCombinedSize)
@@ -172,7 +185,12 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
if (HnswFreeOffset(index, buf, page, e, ntupSize, &nbuf, &npage, &freeOffno, &freeNeighborOffno, &newInsertPage)) if (HnswFreeOffset(index, buf, page, e, ntupSize, &nbuf, &npage, &freeOffno, &freeNeighborOffno, &newInsertPage))
{ {
if (nbuf != buf) if (nbuf != buf)
npage = GenericXLogRegisterBuffer(state, nbuf, 0); {
if (building)
npage = BufferGetPage(nbuf);
else
npage = GenericXLogRegisterBuffer(state, nbuf, 0);
}
break; break;
} }
@@ -181,7 +199,7 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
/* Skip if both tuples can fit on the same page */ /* Skip if both tuples can fit on the same page */
if (combinedSize > maxSize && PageGetFreeSpace(page) >= etupSize && !BlockNumberIsValid(HnswPageGetOpaque(page)->nextblkno)) if (combinedSize > maxSize && PageGetFreeSpace(page) >= etupSize && !BlockNumberIsValid(HnswPageGetOpaque(page)->nextblkno))
{ {
HnswInsertAppendPage(index, &nbuf, &npage, state, page); HnswInsertAppendPage(index, &nbuf, &npage, state, page, building);
break; break;
} }
@@ -190,7 +208,8 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
if (BlockNumberIsValid(currentPage)) if (BlockNumberIsValid(currentPage))
{ {
/* Move to next page */ /* Move to next page */
GenericXLogAbort(state); if (!building)
GenericXLogAbort(state);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
} }
else else
@@ -198,22 +217,33 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
Buffer newbuf; Buffer newbuf;
Page newpage; Page newpage;
HnswInsertAppendPage(index, &newbuf, &newpage, state, page); HnswInsertAppendPage(index, &newbuf, &newpage, state, page, building);
/* Commit */ /* Commit */
GenericXLogFinish(state); if (building)
MarkBufferDirty(buf);
else
GenericXLogFinish(state);
/* Unlock previous buffer */ /* Unlock previous buffer */
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
/* Prepare new buffer */ /* Prepare new buffer */
state = GenericXLogStart(index);
buf = newbuf; buf = newbuf;
page = GenericXLogRegisterBuffer(state, buf, 0); if (building)
{
state = NULL;
page = BufferGetPage(buf);
}
else
{
state = GenericXLogStart(index);
page = GenericXLogRegisterBuffer(state, buf, 0);
}
/* Create new page for neighbors if needed */ /* Create new page for neighbors if needed */
if (PageGetFreeSpace(page) < combinedSize) if (PageGetFreeSpace(page) < combinedSize)
HnswInsertAppendPage(index, &nbuf, &npage, state, page); HnswInsertAppendPage(index, &nbuf, &npage, state, page, building);
else else
{ {
nbuf = buf; nbuf = buf;
@@ -267,7 +297,14 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
} }
/* Commit */ /* Commit */
GenericXLogFinish(state); if (building)
{
MarkBufferDirty(buf);
if (nbuf != buf)
MarkBufferDirty(nbuf);
}
else
GenericXLogFinish(state);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
if (nbuf != buf) if (nbuf != buf)
UnlockReleaseBuffer(nbuf); UnlockReleaseBuffer(nbuf);
@@ -301,12 +338,12 @@ ConnectionExists(HnswElement e, HnswNeighborTuple ntup, int startIdx, int lm)
* Update neighbors * Update neighbors
*/ */
void void
HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement e, int m, bool checkExisting) HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement e, int m, bool checkExisting, bool building)
{ {
for (int lc = e->level; lc >= 0; lc--) for (int lc = e->level; lc >= 0; lc--)
{ {
int lm = HnswGetLayerM(m, lc); int lm = HnswGetLayerM(m, lc);
HnswNeighborArray *neighbors = &e->neighbors[lc]; HnswNeighborArray *neighbors = HnswGetNeighbors(e, lc);
for (int i = 0; i < neighbors->length; i++) for (int i = 0; i < neighbors->length; i++)
{ {
@@ -342,8 +379,16 @@ HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswE
/* Register page */ /* Register page */
buf = ReadBuffer(index, hc->element->neighborPage); buf = ReadBuffer(index, hc->element->neighborPage);
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE); LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
state = GenericXLogStart(index); if (building)
page = GenericXLogRegisterBuffer(state, buf, 0); {
state = NULL;
page = BufferGetPage(buf);
}
else
{
state = GenericXLogStart(index);
page = GenericXLogRegisterBuffer(state, buf, 0);
}
/* Get tuple */ /* Get tuple */
itemid = PageGetItemId(page, offno); itemid = PageGetItemId(page, offno);
@@ -385,9 +430,12 @@ HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswE
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index)); elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
/* Commit */ /* Commit */
GenericXLogFinish(state); if (building)
MarkBufferDirty(buf);
else
GenericXLogFinish(state);
} }
else else if (!building)
GenericXLogAbort(state); GenericXLogAbort(state);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
@@ -399,7 +447,7 @@ HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswE
* Add a heap TID to an existing element * Add a heap TID to an existing element
*/ */
static bool static bool
HnswAddDuplicate(Relation index, HnswElement element, HnswElement dup) HnswAddDuplicate(Relation index, HnswElement element, HnswElement dup, bool building)
{ {
Buffer buf; Buffer buf;
Page page; Page page;
@@ -412,8 +460,16 @@ HnswAddDuplicate(Relation index, HnswElement element, HnswElement dup)
/* Read page */ /* Read page */
buf = ReadBuffer(index, dup->blkno); buf = ReadBuffer(index, dup->blkno);
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE); LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
state = GenericXLogStart(index); if (building)
page = GenericXLogRegisterBuffer(state, buf, 0); {
state = NULL;
page = BufferGetPage(buf);
}
else
{
state = GenericXLogStart(index);
page = GenericXLogRegisterBuffer(state, buf, 0);
}
/* Find space */ /* Find space */
itemid = PageGetItemId(page, dup->offno); itemid = PageGetItemId(page, dup->offno);
@@ -428,60 +484,84 @@ HnswAddDuplicate(Relation index, HnswElement element, HnswElement dup)
/* Either being deleted or we lost our chance to another backend */ /* Either being deleted or we lost our chance to another backend */
if (i == 0 || i == HNSW_HEAPTIDS) if (i == 0 || i == HNSW_HEAPTIDS)
{ {
GenericXLogAbort(state); if (!building)
GenericXLogAbort(state);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
return false; return false;
} }
/* Add heap TID */ /* Add heap TID */
etup->heaptids[i] = *((ItemPointer) linitial(element->heaptids)); etup->heaptids[i] = element->heaptids[0];
/* Overwrite tuple */ /* Overwrite tuple */
if (!PageIndexTupleOverwrite(page, dup->offno, (Item) etup, etupSize)) if (!PageIndexTupleOverwrite(page, dup->offno, (Item) etup, etupSize))
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index)); elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
/* Commit */ /* Commit */
GenericXLogFinish(state); if (building)
MarkBufferDirty(buf);
else
GenericXLogFinish(state);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
return true; 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 * Write changes to disk
*/ */
static void static void
WriteElement(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement element, int m, int efConstruction, HnswElement dup, HnswElement entryPoint) WriteElement(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement element, int m, int efConstruction, HnswElement entryPoint, bool building)
{ {
BlockNumber newInsertPage = InvalidBlockNumber; BlockNumber newInsertPage = InvalidBlockNumber;
/* Try to add to existing page */ /* Look for duplicate */
if (dup != NULL) if (HnswFindDuplicate(index, element, building))
{ return;
if (HnswAddDuplicate(index, element, dup))
return;
}
/* Write element and neighbor tuples */ /* Write element and neighbor tuples */
WriteNewElementPages(index, element, m, GetInsertPage(index), &newInsertPage); WriteNewElementPages(index, element, m, GetInsertPage(index), &newInsertPage, building);
/* Update insert page if needed */ /* Update insert page if needed */
if (BlockNumberIsValid(newInsertPage)) if (BlockNumberIsValid(newInsertPage))
HnswUpdateMetaPage(index, 0, NULL, newInsertPage, MAIN_FORKNUM); HnswUpdateMetaPage(index, 0, NULL, newInsertPage, MAIN_FORKNUM, building);
/* Update neighbors */ /* Update neighbors */
HnswUpdateNeighborPages(index, procinfo, collation, element, m, false); HnswUpdateNeighborPages(index, procinfo, collation, element, m, false, building);
/* Update metapage if needed */ /* Update entry point if needed */
if (entryPoint == NULL || element->level > entryPoint->level) if (entryPoint == NULL || element->level > entryPoint->level)
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_GREATER, element, InvalidBlockNumber, MAIN_FORKNUM); HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_GREATER, element, InvalidBlockNumber, MAIN_FORKNUM, building);
} }
/* /*
* Insert a tuple into the index * Insert a tuple into the index
*/ */
bool bool
HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel) HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel, bool building)
{ {
Datum value; Datum value;
FmgrInfo *normprocinfo; FmgrInfo *normprocinfo;
@@ -491,7 +571,6 @@ HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_ti
int efConstruction = HnswGetEfConstruction(index); int efConstruction = HnswGetEfConstruction(index);
FmgrInfo *procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC); FmgrInfo *procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
Oid collation = index->rd_indcollation[0]; Oid collation = index->rd_indcollation[0];
HnswElement dup;
LOCKMODE lockmode = ShareLock; LOCKMODE lockmode = ShareLock;
/* Detoast once for all calls */ /* Detoast once for all calls */
@@ -536,11 +615,8 @@ HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_ti
/* Insert element in graph */ /* Insert element in graph */
HnswInsertElement(element, entryPoint, index, procinfo, collation, m, efConstruction, false); HnswInsertElement(element, entryPoint, index, procinfo, collation, m, efConstruction, false);
/* Look for duplicate */
dup = HnswFindDuplicate(element);
/* Write to disk */ /* Write to disk */
WriteElement(index, procinfo, collation, element, m, efConstruction, dup, entryPoint); WriteElement(index, procinfo, collation, element, m, efConstruction, entryPoint, building);
/* Release lock */ /* Release lock */
UnlockPage(index, HNSW_UPDATE_LOCK, lockmode); UnlockPage(index, HNSW_UPDATE_LOCK, lockmode);
@@ -574,7 +650,7 @@ hnswinsert(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid,
oldCtx = MemoryContextSwitchTo(insertCtx); oldCtx = MemoryContextSwitchTo(insertCtx);
/* Insert tuple */ /* Insert tuple */
HnswInsertTuple(index, values, isnull, heap_tid, heap); HnswInsertTuple(index, values, isnull, heap_tid, heap, false);
/* Delete memory context */ /* Delete memory context */
MemoryContextSwitchTo(oldCtx); MemoryContextSwitchTo(oldCtx);

View File

@@ -188,15 +188,13 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
ItemPointer heaptid; ItemPointer heaptid;
/* Move to next element if no valid heap TIDs */ /* Move to next element if no valid heap TIDs */
if (list_length(hc->element->heaptids) == 0) if (hc->element->heaptidsLength == 0)
{ {
so->w = list_delete_last(so->w); so->w = list_delete_last(so->w);
continue; continue;
} }
heaptid = llast(hc->element->heaptids); heaptid = &hc->element->heaptids[--hc->element->heaptidsLength];
hc->element->heaptids = list_delete_last(hc->element->heaptids);
MemoryContextSwitchTo(oldCtx); MemoryContextSwitchTo(oldCtx);

View File

@@ -7,6 +7,89 @@
#include "utils/datum.h" #include "utils/datum.h"
#include "vector.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 * Get the max number of connections in an upper layer for each element in the index
*/ */
@@ -101,27 +184,6 @@ HnswInitPage(Buffer buf, Page page)
HnswPageGetOpaque(page)->page_id = HNSW_PAGE_ID; 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)
{
GenericXLogFinish(state);
UnlockReleaseBuffer(buf);
}
/* /*
* Allocate neighbors * Allocate neighbors
*/ */
@@ -144,17 +206,6 @@ HnswInitNeighbors(HnswElement element, int m)
} }
} }
/*
* Free neighbors
*/
static void
HnswFreeNeighbors(HnswElement element)
{
for (int lc = 0; lc <= element->level; lc++)
pfree(element->neighbors[lc].items);
pfree(element->neighbors);
}
/* /*
* Allocate an element * Allocate an element
*/ */
@@ -169,7 +220,7 @@ HnswInitElement(ItemPointer heaptid, int m, double ml, int maxLevel)
if (level > maxLevel) if (level > maxLevel)
level = maxLevel; level = maxLevel;
element->heaptids = NIL; element->heaptidsLength = 0;
HnswAddHeapTid(element, heaptid); HnswAddHeapTid(element, heaptid);
element->level = level; element->level = level;
@@ -182,29 +233,13 @@ HnswInitElement(ItemPointer heaptid, int m, double ml, int maxLevel)
return element; return element;
} }
/*
* Free an element
*/
void
HnswFreeElement(HnswElement element)
{
HnswFreeNeighbors(element);
list_free_deep(element->heaptids);
if (DatumGetPointer(element->value))
pfree(DatumGetPointer(element->value));
pfree(element);
}
/* /*
* Add a heap TID to an element * Add a heap TID to an element
*/ */
void void
HnswAddHeapTid(HnswElement element, ItemPointer heaptid) HnswAddHeapTid(HnswElement element, ItemPointer heaptid)
{ {
ItemPointer copy = palloc(sizeof(ItemPointerData)); element->heaptids[element->heaptidsLength++] = *heaptid;
ItemPointerCopy(heaptid, copy);
element->heaptids = lappend(element->heaptids, copy);
} }
/* /*
@@ -296,7 +331,7 @@ HnswUpdateMetaPageInfo(Page page, int updateEntry, HnswElement entryPoint, Block
* Update the metapage * Update the metapage
*/ */
void void
HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum) HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum, bool building)
{ {
Buffer buf; Buffer buf;
Page page; Page page;
@@ -304,12 +339,24 @@ HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, Bloc
buf = ReadBufferExtended(index, forkNum, HNSW_METAPAGE_BLKNO, RBM_NORMAL, NULL); buf = ReadBufferExtended(index, forkNum, HNSW_METAPAGE_BLKNO, RBM_NORMAL, NULL);
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE); LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
state = GenericXLogStart(index); if (building)
page = GenericXLogRegisterBuffer(state, buf, 0); {
state = NULL;
page = BufferGetPage(buf);
}
else
{
state = GenericXLogStart(index);
page = GenericXLogRegisterBuffer(state, buf, 0);
}
HnswUpdateMetaPageInfo(page, updateEntry, entryPoint, insertPage); HnswUpdateMetaPageInfo(page, updateEntry, entryPoint, insertPage);
HnswCommitBuffer(buf, state); if (building)
MarkBufferDirty(buf);
else
GenericXLogFinish(state);
UnlockReleaseBuffer(buf);
} }
/* /*
@@ -323,8 +370,8 @@ HnswSetElementTuple(HnswElementTuple etup, HnswElement element)
etup->deleted = 0; etup->deleted = 0;
for (int i = 0; i < HNSW_HEAPTIDS; i++) for (int i = 0; i < HNSW_HEAPTIDS; i++)
{ {
if (i < list_length(element->heaptids)) if (i < element->heaptidsLength)
etup->heaptids[i] = *((ItemPointer) list_nth(element->heaptids, i)); etup->heaptids[i] = element->heaptids[i];
else else
ItemPointerSetInvalid(&etup->heaptids[i]); ItemPointerSetInvalid(&etup->heaptids[i]);
} }
@@ -343,7 +390,7 @@ HnswSetNeighborTuple(HnswNeighborTuple ntup, HnswElement e, int m)
for (int lc = e->level; lc >= 0; lc--) for (int lc = e->level; lc >= 0; lc--)
{ {
HnswNeighborArray *neighbors = &e->neighbors[lc]; HnswNeighborArray *neighbors = HnswGetNeighbors(e, lc);
int lm = HnswGetLayerM(m, lc); int lm = HnswGetLayerM(m, lc);
for (int i = 0; i < lm; i++) for (int i = 0; i < lm; i++)
@@ -401,7 +448,7 @@ LoadNeighborsFromPage(HnswElement element, Relation index, Page page, int m)
if (level < 0) if (level < 0)
level = 0; level = 0;
neighbors = &element->neighbors[level]; neighbors = HnswGetNeighbors(element, level);
hc = &neighbors->items[neighbors->length++]; hc = &neighbors->items[neighbors->length++];
hc->element = e; hc->element = e;
} }
@@ -435,7 +482,7 @@ HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHe
element->deleted = etup->deleted; element->deleted = etup->deleted;
element->neighborPage = ItemPointerGetBlockNumber(&etup->neighbortid); element->neighborPage = ItemPointerGetBlockNumber(&etup->neighbortid);
element->neighborOffno = ItemPointerGetOffsetNumber(&etup->neighbortid); element->neighborOffno = ItemPointerGetOffsetNumber(&etup->neighbortid);
element->heaptids = NIL; element->heaptidsLength = 0;
if (loadHeaptids) if (loadHeaptids)
{ {
@@ -553,16 +600,22 @@ CreatePairingHeapNode(HnswCandidate * c)
* Add to visited * Add to visited
*/ */
static inline void static inline void
AddToVisited(HTAB *v, HnswCandidate * hc, Relation index, bool *found) AddToVisited(visited_hash v, HnswCandidate * hc, Relation index, bool *found)
{ {
if (index == NULL) if (index == NULL)
hash_search(v, &hc->element, HASH_ENTER, found); {
#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
}
else else
{ {
ItemPointerData indextid; ItemPointerData indextid;
ItemPointerSet(&indextid, hc->element->blkno, hc->element->offno); ItemPointerSet(&indextid, hc->element->blkno, hc->element->offno);
hash_search(v, &indextid, HASH_ENTER, found); tidhash_insert(v.tids, indextid, found);
} }
} }
@@ -572,36 +625,26 @@ AddToVisited(HTAB *v, HnswCandidate * hc, Relation index, bool *found)
List * List *
HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, int m, bool inserting, HnswElement skipElement) HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, int m, bool inserting, HnswElement skipElement)
{ {
ListCell *lc2;
List *w = NIL; List *w = NIL;
pairingheap *C = pairingheap_allocate(CompareNearestCandidates, NULL); pairingheap *C = pairingheap_allocate(CompareNearestCandidates, NULL);
pairingheap *W = pairingheap_allocate(CompareFurthestCandidates, NULL); pairingheap *W = pairingheap_allocate(CompareFurthestCandidates, NULL);
int wlen = 0; int wlen = 0;
HASHCTL hash_ctl; visited_hash v;
HTAB *v; ListCell *lc2;
/* Create hash table */ /* Create hash table */
if (index == NULL) if (index == NULL)
{ v.pointers = pointerhash_create(CurrentMemoryContext, ef * m * 2, NULL);
hash_ctl.keysize = sizeof(HnswElement *);
hash_ctl.entrysize = sizeof(HnswElement *);
}
else 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 */ /* Add entry points to v, C, and W */
foreach(lc2, ep) foreach(lc2, ep)
{ {
HnswCandidate *hc = (HnswCandidate *) lfirst(lc2); HnswCandidate *hc = (HnswCandidate *) lfirst(lc2);
bool found;
AddToVisited(v, hc, index, NULL); AddToVisited(v, hc, index, &found);
pairingheap_add(C, &(CreatePairingHeapNode(hc)->ph_node)); pairingheap_add(C, &(CreatePairingHeapNode(hc)->ph_node));
pairingheap_add(W, &(CreatePairingHeapNode(hc)->ph_node)); pairingheap_add(W, &(CreatePairingHeapNode(hc)->ph_node));
@@ -611,7 +654,7 @@ 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 * would be ideal to do this for inserts as well, but this could
* affect insert performance. * affect insert performance.
*/ */
if (skipElement == NULL || list_length(hc->element->heaptids) != 0) if (skipElement == NULL || hc->element->heaptidsLength != 0)
wlen++; wlen++;
} }
@@ -628,7 +671,7 @@ HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *pro
HnswLoadNeighbors(c->element, index, m); HnswLoadNeighbors(c->element, index, m);
/* Get the neighborhood at layer lc */ /* Get the neighborhood at layer lc */
neighborhood = &c->element->neighbors[lc]; neighborhood = HnswGetNeighbors(c->element, lc);
for (int i = 0; i < neighborhood->length; i++) for (int i = 0; i < neighborhood->length; i++)
{ {
@@ -670,7 +713,7 @@ HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *pro
* vacuuming. It would be ideal to do this for inserts as * vacuuming. It would be ideal to do this for inserts as
* well, but this could affect insert performance. * well, but this could affect insert performance.
*/ */
if (skipElement == NULL || list_length(e->element->heaptids) != 0) if (skipElement == NULL || e->element->heaptidsLength != 0)
{ {
wlen++; wlen++;
@@ -731,23 +774,23 @@ HnswGetDistance(HnswElement a, HnswElement b, int lc, FmgrInfo *procinfo, Oid co
/* Look for cached distance */ /* Look for cached distance */
if (a->neighbors != NULL) if (a->neighbors != NULL)
{ {
Assert(a->level >= lc); HnswNeighborArray *neighbors = HnswGetNeighbors(a, lc);
for (int i = 0; i < a->neighbors[lc].length; i++) for (int i = 0; i < neighbors->length; i++)
{ {
if (a->neighbors[lc].items[i].element == b) if (neighbors->items[i].element == b)
return a->neighbors[lc].items[i].distance; return neighbors->items[i].distance;
} }
} }
if (b->neighbors != NULL) if (b->neighbors != NULL)
{ {
Assert(b->level >= lc); HnswNeighborArray *neighbors = HnswGetNeighbors(b, lc);
for (int i = 0; i < b->neighbors[lc].length; i++) for (int i = 0; i < neighbors->length; i++)
{ {
if (b->neighbors[lc].items[i].element == a) if (neighbors->items[i].element == a)
return b->neighbors[lc].items[i].distance; return neighbors->items[i].distance;
} }
} }
@@ -783,7 +826,8 @@ SelectNeighbors(List *c, int m, int lc, FmgrInfo *procinfo, Oid collation, HnswE
List *r = NIL; List *r = NIL;
List *w = list_copy(c); List *w = list_copy(c);
pairingheap *wd; pairingheap *wd;
bool mustCalculate = !e2->neighbors[lc].closerSet; HnswNeighborArray *neighbors = HnswGetNeighbors(e2, lc);
bool mustCalculate = !neighbors->closerSet;
List *added = NIL; List *added = NIL;
bool removedAny = false; bool removedAny = false;
@@ -847,7 +891,7 @@ SelectNeighbors(List *c, int m, int lc, FmgrInfo *procinfo, Oid collation, HnswE
} }
/* Cached value can only be used in future if sorted deterministically */ /* Cached value can only be used in future if sorted deterministically */
e2->neighbors[lc].closerSet = sortCandidates; neighbors->closerSet = sortCandidates;
/* Keep pruned connections */ /* Keep pruned connections */
while (!pairingheap_is_empty(wd) && list_length(r) < m) while (!pairingheap_is_empty(wd) && list_length(r) < m)
@@ -865,30 +909,6 @@ SelectNeighbors(List *c, int m, int lc, FmgrInfo *procinfo, Oid collation, HnswE
return r; return r;
} }
/*
* Find duplicate element
*/
HnswElement
HnswFindDuplicate(HnswElement e)
{
HnswNeighborArray *neighbors = &e->neighbors[0];
for (int i = 0; i < neighbors->length; i++)
{
HnswCandidate *neighbor = &neighbors->items[i];
/* Exit early since ordered by distance */
if (!datumIsEqual(e->value, neighbor->element->value, false, -1))
break;
/* Check for space */
if (list_length(neighbor->element->heaptids) < HNSW_HEAPTIDS)
return neighbor->element;
}
return NULL;
}
/* /*
* Add connections * Add connections
*/ */
@@ -896,7 +916,7 @@ static void
AddConnections(HnswElement element, List *neighbors, int m, int lc) AddConnections(HnswElement element, List *neighbors, int m, int lc)
{ {
ListCell *lc2; ListCell *lc2;
HnswNeighborArray *a = &element->neighbors[lc]; HnswNeighborArray *a = HnswGetNeighbors(element, lc);
foreach(lc2, neighbors) foreach(lc2, neighbors)
a->items[a->length++] = *((HnswCandidate *) lfirst(lc2)); a->items[a->length++] = *((HnswCandidate *) lfirst(lc2));
@@ -908,7 +928,7 @@ AddConnections(HnswElement element, List *neighbors, int m, int lc)
void void
HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int *updateIdx, Relation index, FmgrInfo *procinfo, Oid collation) HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int *updateIdx, Relation index, FmgrInfo *procinfo, Oid collation)
{ {
HnswNeighborArray *currentNeighbors = &hc->element->neighbors[lc]; HnswNeighborArray *currentNeighbors = HnswGetNeighbors(hc->element, lc);
HnswCandidate hc2; HnswCandidate hc2;
@@ -943,7 +963,7 @@ HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int
hc3->distance = GetCandidateDistance(hc3, q, procinfo, collation); hc3->distance = GetCandidateDistance(hc3, q, procinfo, collation);
/* Prune element if being deleted */ /* Prune element if being deleted */
if (list_length(hc3->element->heaptids) == 0) if (hc3->element->heaptidsLength == 0)
{ {
pruned = &currentNeighbors->items[i]; pruned = &currentNeighbors->items[i];
break; break;
@@ -1001,7 +1021,7 @@ RemoveElements(List *w, HnswElement skipElement)
if (skipElement != NULL && hc->element->blkno == skipElement->blkno && hc->element->offno == skipElement->offno) if (skipElement != NULL && hc->element->blkno == skipElement->blkno && hc->element->offno == skipElement->offno)
continue; continue;
if (list_length(hc->element->heaptids) != 0) if (hc->element->heaptidsLength != 0)
w2 = lappend(w2, hc); w2 = lappend(w2, hc);
} }
@@ -1021,6 +1041,12 @@ HnswInsertElement(HnswElement element, HnswElement entryPoint, Relation index, F
Datum q = element->value; Datum q = element->value;
HnswElement skipElement = existing ? element : NULL; 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 */ /* No neighbors if no entry point */
if (entryPoint == NULL) if (entryPoint == NULL)
return; return;

View File

@@ -12,12 +12,9 @@
* Check if deleted list contains an index TID * Check if deleted list contains an index TID
*/ */
static bool static bool
DeletedContains(HTAB *deleted, ItemPointer indextid) DeletedContains(tidhash_hash * deleted, ItemPointer indextid)
{ {
bool found; return tidhash_lookup(deleted, *indextid) != NULL;
hash_search(deleted, indextid, HASH_FIND, &found);
return found;
} }
/* /*
@@ -110,11 +107,13 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
if (!ItemPointerIsValid(&etup->heaptids[0])) if (!ItemPointerIsValid(&etup->heaptids[0]))
{ {
ItemPointerData ip; ItemPointerData ip;
bool found;
/* Add to deleted list */ /* Add to deleted list */
ItemPointerSet(&ip, blkno, offno); ItemPointerSet(&ip, blkno, offno);
(void) hash_search(vacuumstate->deleted, &ip, HASH_ENTER, NULL); tidhash_insert(vacuumstate->deleted, ip, &found);
Assert(!found);
} }
else if (etup->level > highestLevel && !(entryPoint != NULL && blkno == entryPoint->blkno && offno == entryPoint->offno)) else if (etup->level > highestLevel && !(entryPoint != NULL && blkno == entryPoint->blkno && offno == entryPoint->offno))
{ {
@@ -207,7 +206,7 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswEleme
/* Init fields */ /* Init fields */
HnswInitNeighbors(element, m); HnswInitNeighbors(element, m);
element->heaptids = NIL; element->heaptidsLength = 0;
/* Add element to graph, skipping itself */ /* Add element to graph, skipping itself */
HnswInsertElement(element, entryPoint, index, procinfo, collation, m, efConstruction, true); HnswInsertElement(element, entryPoint, index, procinfo, collation, m, efConstruction, true);
@@ -231,7 +230,7 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswEleme
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
/* Update neighbors */ /* Update neighbors */
HnswUpdateNeighborPages(index, procinfo, collation, element, m, true); HnswUpdateNeighborPages(index, procinfo, collation, element, m, true, false);
} }
/* /*
@@ -287,7 +286,7 @@ RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
* point is outdated and empty, the entry point will be empty * point is outdated and empty, the entry point will be empty
* until an element is repaired. * until an element is repaired.
*/ */
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_ALWAYS, highestPoint, InvalidBlockNumber, MAIN_FORKNUM); HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_ALWAYS, highestPoint, InvalidBlockNumber, MAIN_FORKNUM, false);
} }
else else
{ {
@@ -420,7 +419,7 @@ RepairGraph(HnswVacuumState * vacuumstate)
* was replaced and highest point was outdated. * was replaced and highest point was outdated.
*/ */
if (entryPoint == NULL || element->level > entryPoint->level) if (entryPoint == NULL || element->level > entryPoint->level)
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_GREATER, element, InvalidBlockNumber, MAIN_FORKNUM); HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_GREATER, element, InvalidBlockNumber, MAIN_FORKNUM, false);
/* Release lock */ /* Release lock */
UnlockPage(index, HNSW_UPDATE_LOCK, lockmode); UnlockPage(index, HNSW_UPDATE_LOCK, lockmode);
@@ -565,7 +564,7 @@ MarkDeleted(HnswVacuumState * vacuumstate)
} }
/* Update insert page last, after everything has been marked as deleted */ /* Update insert page last, after everything has been marked as deleted */
HnswUpdateMetaPage(index, 0, NULL, insertPage, MAIN_FORKNUM); HnswUpdateMetaPage(index, 0, NULL, insertPage, MAIN_FORKNUM, false);
} }
/* /*
@@ -575,7 +574,6 @@ static void
InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkDeleteResult *stats, IndexBulkDeleteCallback callback, void *callback_state) InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkDeleteResult *stats, IndexBulkDeleteCallback callback, void *callback_state)
{ {
Relation index = info->index; Relation index = info->index;
HASHCTL hash_ctl;
if (stats == NULL) if (stats == NULL)
stats = (IndexBulkDeleteResult *) palloc0(sizeof(IndexBulkDeleteResult)); stats = (IndexBulkDeleteResult *) palloc0(sizeof(IndexBulkDeleteResult));
@@ -597,10 +595,7 @@ InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkD
HnswGetMetaPageInfo(index, &vacuumstate->m, NULL); HnswGetMetaPageInfo(index, &vacuumstate->m, NULL);
/* Create hash table */ /* Create hash table */
hash_ctl.keysize = sizeof(ItemPointerData); vacuumstate->deleted = tidhash_create(CurrentMemoryContext, 256, NULL);
hash_ctl.entrysize = sizeof(ItemPointerData);
hash_ctl.hcxt = CurrentMemoryContext;
vacuumstate->deleted = hash_create("hnswbulkdelete indextids", 256, &hash_ctl, HASH_ELEM | HASH_BLOBS | HASH_CONTEXT);
} }
/* /*
@@ -609,7 +604,7 @@ InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkD
static void static void
FreeVacuumState(HnswVacuumState * vacuumstate) FreeVacuumState(HnswVacuumState * vacuumstate)
{ {
hash_destroy(vacuumstate->deleted); tidhash_destroy(vacuumstate->deleted);
FreeAccessStrategy(vacuumstate->bas); FreeAccessStrategy(vacuumstate->bas);
pfree(vacuumstate->ntup); pfree(vacuumstate->ntup);
MemoryContextDelete(vacuumstate->tmpCtx); MemoryContextDelete(vacuumstate->tmpCtx);

View File

@@ -543,10 +543,10 @@ CreateListPages(Relation index, VectorArray centers, int dimensions,
pfree(list); pfree(list);
} }
#ifdef IVFFLAT_KMEANS_DEBUG
/* /*
* Print k-means metrics * Print k-means metrics
*/ */
#ifdef IVFFLAT_KMEANS_DEBUG
static void static void
PrintKmeansMetrics(IvfflatBuildState * buildstate) PrintKmeansMetrics(IvfflatBuildState * buildstate)
{ {

View File

@@ -105,6 +105,20 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
*/ */
costs.numIndexTuples = path->indexinfo->tuples * ratio; costs.numIndexTuples = path->indexinfo->tuples * ratio;
/*
* Do not use index if no limit or limit + offset > expected tuples unless
* enable_seqscan = off
*/
if (root->limit_tuples < 0 || root->limit_tuples > costs.numIndexTuples)
{
*indexStartupCost = 1.0e10 - 1;
*indexTotalCost = 1.0e10 - 1;
*indexSelectivity = 0;
*indexCorrelation = 0;
*indexPages = 0;
return;
}
#if PG_VERSION_NUM >= 120000 #if PG_VERSION_NUM >= 120000
genericcostestimate(root, path, loop_count, &costs); genericcostestimate(root, path, loop_count, &costs);
#else #else

View File

@@ -6,6 +6,10 @@
#include "ivfflat.h" #include "ivfflat.h"
#include "miscadmin.h" #include "miscadmin.h"
#ifdef IVFFLAT_MEMORY
#include "utils/memutils.h"
#endif
/* /*
* Initialize with kmeans++ * Initialize with kmeans++
* *
@@ -151,6 +155,23 @@ 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. * Use Elkan for performance. This requires distance function to satisfy triangle inequality.
* *
@@ -231,6 +252,10 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
vec->dim = dimensions; vec->dim = dimensions;
} }
#ifdef IVFFLAT_MEMORY
ShowMemoryUsage(totalSize);
#endif
/* Pick initial centers */ /* Pick initial centers */
InitCenters(index, samples, centers, lowerBound); InitCenters(index, samples, centers, lowerBound);

View File

@@ -177,14 +177,15 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_in);
Datum Datum
vector_in(PG_FUNCTION_ARGS) vector_in(PG_FUNCTION_ARGS)
{ {
char *str = PG_GETARG_CSTRING(0); char *lit = PG_GETARG_CSTRING(0);
int32 typmod = PG_GETARG_INT32(2); int32 typmod = PG_GETARG_INT32(2);
float x[VECTOR_MAX_DIM]; float x[VECTOR_MAX_DIM];
int dim = 0; int dim = 0;
char *pt; char *pt;
char *stringEnd; char *stringEnd;
Vector *result; Vector *result;
char *lit = pstrdup(str); char *litcopy = pstrdup(lit);
char *str = litcopy;
while (vector_isspace(*str)) while (vector_isspace(*str))
str++; str++;
@@ -268,7 +269,7 @@ vector_in(PG_FUNCTION_ARGS)
(errcode(ERRCODE_DATA_EXCEPTION), (errcode(ERRCODE_DATA_EXCEPTION),
errmsg("vector must have at least 1 dimension"))); errmsg("vector must have at least 1 dimension")));
pfree(lit); pfree(litcopy);
CheckExpectedDim(typmod, dim); CheckExpectedDim(typmod, dim);
@@ -724,7 +725,7 @@ vector_spherical_distance(PG_FUNCTION_ARGS)
} }
/* /*
* Get the L1 distance between vectors * Get the L1 distance between two vectors
*/ */
PGDLLEXPORT PG_FUNCTION_INFO_V1(l1_distance); PGDLLEXPORT PG_FUNCTION_INFO_V1(l1_distance);
Datum Datum
@@ -903,8 +904,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_lt);
Datum Datum
vector_lt(PG_FUNCTION_ARGS) vector_lt(PG_FUNCTION_ARGS)
{ {
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0); Vector *a = PG_GETARG_VECTOR_P(0);
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1); Vector *b = PG_GETARG_VECTOR_P(1);
PG_RETURN_BOOL(vector_cmp_internal(a, b) < 0); PG_RETURN_BOOL(vector_cmp_internal(a, b) < 0);
} }
@@ -916,8 +917,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_le);
Datum Datum
vector_le(PG_FUNCTION_ARGS) vector_le(PG_FUNCTION_ARGS)
{ {
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0); Vector *a = PG_GETARG_VECTOR_P(0);
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1); Vector *b = PG_GETARG_VECTOR_P(1);
PG_RETURN_BOOL(vector_cmp_internal(a, b) <= 0); PG_RETURN_BOOL(vector_cmp_internal(a, b) <= 0);
} }
@@ -929,8 +930,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_eq);
Datum Datum
vector_eq(PG_FUNCTION_ARGS) vector_eq(PG_FUNCTION_ARGS)
{ {
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0); Vector *a = PG_GETARG_VECTOR_P(0);
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1); Vector *b = PG_GETARG_VECTOR_P(1);
PG_RETURN_BOOL(vector_cmp_internal(a, b) == 0); PG_RETURN_BOOL(vector_cmp_internal(a, b) == 0);
} }
@@ -942,8 +943,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_ne);
Datum Datum
vector_ne(PG_FUNCTION_ARGS) vector_ne(PG_FUNCTION_ARGS)
{ {
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0); Vector *a = PG_GETARG_VECTOR_P(0);
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1); Vector *b = PG_GETARG_VECTOR_P(1);
PG_RETURN_BOOL(vector_cmp_internal(a, b) != 0); PG_RETURN_BOOL(vector_cmp_internal(a, b) != 0);
} }
@@ -955,8 +956,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_ge);
Datum Datum
vector_ge(PG_FUNCTION_ARGS) vector_ge(PG_FUNCTION_ARGS)
{ {
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0); Vector *a = PG_GETARG_VECTOR_P(0);
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1); Vector *b = PG_GETARG_VECTOR_P(1);
PG_RETURN_BOOL(vector_cmp_internal(a, b) >= 0); PG_RETURN_BOOL(vector_cmp_internal(a, b) >= 0);
} }
@@ -968,8 +969,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_gt);
Datum Datum
vector_gt(PG_FUNCTION_ARGS) vector_gt(PG_FUNCTION_ARGS)
{ {
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0); Vector *a = PG_GETARG_VECTOR_P(0);
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1); Vector *b = PG_GETARG_VECTOR_P(1);
PG_RETURN_BOOL(vector_cmp_internal(a, b) > 0); PG_RETURN_BOOL(vector_cmp_internal(a, b) > 0);
} }
@@ -981,8 +982,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_cmp);
Datum Datum
vector_cmp(PG_FUNCTION_ARGS) vector_cmp(PG_FUNCTION_ARGS)
{ {
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0); Vector *a = PG_GETARG_VECTOR_P(0);
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1); Vector *b = PG_GETARG_VECTOR_P(1);
PG_RETURN_INT32(vector_cmp_internal(a, b)); PG_RETURN_INT32(vector_cmp_internal(a, b));
} }

View File

@@ -1,15 +1,15 @@
CREATE TABLE t (val vector(3), val2 half[]); CREATE TABLE t (val vector(3));
INSERT INTO t (val, val2) VALUES ('[0,0,0]', '{0,0,0}'), ('[1,2,3]', '{1,2,3}'), ('[1,1,1]', '{1,1,1}'), (NULL, NULL); INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
CREATE TABLE t2 (val vector(3), val2 half[]); CREATE TABLE t2 (val vector(3));
\copy t TO 'results/data.bin' WITH (FORMAT binary) \copy t TO 'results/data.bin' WITH (FORMAT binary)
\copy t2 FROM 'results/data.bin' WITH (FORMAT binary) \copy t2 FROM 'results/data.bin' WITH (FORMAT binary)
SELECT * FROM t2 ORDER BY val; SELECT * FROM t2 ORDER BY val;
val | val2 val
---------+--------- ---------
[0,0,0] | {0,0,0} [0,0,0]
[1,1,1] | {1,1,1} [1,1,1]
[1,2,3] | {1,2,3} [1,2,3]
|
(4 rows) (4 rows)
DROP TABLE t; DROP TABLE t;

View File

@@ -54,105 +54,105 @@ SELECT vector_norm('[3e37,4e37]')::real;
5e+37 5e+37
(1 row) (1 row)
SELECT l2_distance('[0,0]'::vector, '[3,4]'); SELECT l2_distance('[0,0]', '[3,4]');
l2_distance l2_distance
------------- -------------
5 5
(1 row) (1 row)
SELECT l2_distance('[0,0]'::vector, '[0,1]'); SELECT l2_distance('[0,0]', '[0,1]');
l2_distance l2_distance
------------- -------------
1 1
(1 row) (1 row)
SELECT l2_distance('[1,2]'::vector, '[3]'); SELECT l2_distance('[1,2]', '[3]');
ERROR: different vector dimensions 2 and 1 ERROR: different vector dimensions 2 and 1
SELECT l2_distance('[3e38]'::vector, '[-3e38]'); SELECT l2_distance('[3e38]', '[-3e38]');
l2_distance l2_distance
------------- -------------
Infinity Infinity
(1 row) (1 row)
SELECT inner_product('[1,2]'::vector, '[3,4]'); SELECT inner_product('[1,2]', '[3,4]');
inner_product inner_product
--------------- ---------------
11 11
(1 row) (1 row)
SELECT inner_product('[1,2]'::vector, '[3]'); SELECT inner_product('[1,2]', '[3]');
ERROR: different vector dimensions 2 and 1 ERROR: different vector dimensions 2 and 1
SELECT inner_product('[3e38]'::vector, '[3e38]'); SELECT inner_product('[3e38]', '[3e38]');
inner_product inner_product
--------------- ---------------
Infinity Infinity
(1 row) (1 row)
SELECT cosine_distance('[1,2]'::vector, '[2,4]'); SELECT cosine_distance('[1,2]', '[2,4]');
cosine_distance cosine_distance
----------------- -----------------
0 0
(1 row) (1 row)
SELECT cosine_distance('[1,2]'::vector, '[0,0]'); SELECT cosine_distance('[1,2]', '[0,0]');
cosine_distance cosine_distance
----------------- -----------------
NaN NaN
(1 row) (1 row)
SELECT cosine_distance('[1,1]'::vector, '[1,1]'); SELECT cosine_distance('[1,1]', '[1,1]');
cosine_distance cosine_distance
----------------- -----------------
0 0
(1 row) (1 row)
SELECT cosine_distance('[1,0]'::vector, '[0,2]'); SELECT cosine_distance('[1,0]', '[0,2]');
cosine_distance cosine_distance
----------------- -----------------
1 1
(1 row) (1 row)
SELECT cosine_distance('[1,1]'::vector, '[-1,-1]'); SELECT cosine_distance('[1,1]', '[-1,-1]');
cosine_distance cosine_distance
----------------- -----------------
2 2
(1 row) (1 row)
SELECT cosine_distance('[1,2]'::vector, '[3]'); SELECT cosine_distance('[1,2]', '[3]');
ERROR: different vector dimensions 2 and 1 ERROR: different vector dimensions 2 and 1
SELECT cosine_distance('[1,1]'::vector, '[1.1,1.1]'); SELECT cosine_distance('[1,1]', '[1.1,1.1]');
cosine_distance cosine_distance
----------------- -----------------
0 0
(1 row) (1 row)
SELECT cosine_distance('[1,1]'::vector, '[-1.1,-1.1]'); SELECT cosine_distance('[1,1]', '[-1.1,-1.1]');
cosine_distance cosine_distance
----------------- -----------------
2 2
(1 row) (1 row)
SELECT cosine_distance('[3e38]'::vector, '[3e38]'); SELECT cosine_distance('[3e38]', '[3e38]');
cosine_distance cosine_distance
----------------- -----------------
NaN NaN
(1 row) (1 row)
SELECT l1_distance('[0,0]'::vector, '[3,4]'); SELECT l1_distance('[0,0]', '[3,4]');
l1_distance l1_distance
------------- -------------
7 7
(1 row) (1 row)
SELECT l1_distance('[0,0]'::vector, '[0,1]'); SELECT l1_distance('[0,0]', '[0,1]');
l1_distance l1_distance
------------- -------------
1 1
(1 row) (1 row)
SELECT l1_distance('[1,2]'::vector, '[3]'); SELECT l1_distance('[1,2]', '[3]');
ERROR: different vector dimensions 2 and 1 ERROR: different vector dimensions 2 and 1
SELECT l1_distance('[3e38]'::vector, '[-3e38]'); SELECT l1_distance('[3e38]', '[-3e38]');
l1_distance l1_distance
------------- -------------
Infinity Infinity

View File

@@ -1,226 +0,0 @@
SELECT '1.5'::half;
half
------
1.5
(1 row)
SELECT '65504'::half;
half
-------
65504
(1 row)
SELECT '65505'::half;
ERROR: "65505" is out of range for type half
LINE 1: SELECT '65505'::half;
^
SELECT '-65504'::half;
half
--------
-65504
(1 row)
SELECT '-65505'::half;
ERROR: "-65505" is out of range for type half
LINE 1: SELECT '-65505'::half;
^
SELECT ''::half;
ERROR: invalid input syntax for type half: ""
LINE 1: SELECT ''::half;
^
SELECT ' '::half;
ERROR: invalid input syntax for type half: " "
LINE 1: SELECT ' '::half;
^
SELECT '-'::half;
ERROR: invalid input syntax for type half: "-"
LINE 1: SELECT '-'::half;
^
SELECT ' 1.5'::half;
half
------
1.5
(1 row)
SELECT '1.5 '::half;
half
------
1.5
(1 row)
SELECT '1.5a'::half;
ERROR: invalid input syntax for type half: "1.5a"
LINE 1: SELECT '1.5a'::half;
^
SELECT '{1,2,3}'::half[];
half
---------
{1,2,3}
(1 row)
SELECT '{1,2,3}'::half[]::real[];
float4
---------
{1,2,3}
(1 row)
SELECT '65505'::integer::half;
half
-------
65504
(1 row)
SELECT 'NaN'::real::half;
half
------
NaN
(1 row)
SELECT 'Infinity'::real::half;
half
----------
Infinity
(1 row)
SELECT '1e-38'::real::half;
ERROR: value out of range: underflow
SELECT '1.5'::half::real;
float4
--------
1.5
(1 row)
SELECT '1.5'::real::half;
half
------
1.5
(1 row)
SELECT '1.5'::half::double precision;
float8
--------
1.5
(1 row)
SELECT '1.5'::double precision::half;
half
------
1.5
(1 row)
SELECT '1.5'::half::numeric;
numeric
---------
1.5
(1 row)
SELECT '1.5'::numeric::half;
half
------
1.5
(1 row)
SELECT l2_distance('{0,0}'::half[], '{3,4}'::half[]);
l2_distance
-------------
5
(1 row)
SELECT l2_distance('{0,0}'::half[], '{0,1}'::half[]);
l2_distance
-------------
1
(1 row)
SELECT l2_distance('{1,2}'::half[], '{3}'::half[]);
ERROR: different dimensions 2 and 1
SELECT '{0,0}'::half[] <-> '{3,4}'::half[];
?column?
----------
5
(1 row)
SELECT inner_product('{1,2}'::half[], '{3,4}'::half[]);
inner_product
---------------
11
(1 row)
SELECT inner_product('{1,2}'::half[], '{3}'::half[]);
ERROR: different dimensions 2 and 1
SELECT inner_product('{65504}'::half[], '{65504}'::half[]);
inner_product
---------------
4290774016
(1 row)
SELECT '{1,2}'::half[] <#> '{3,4}'::half[];
?column?
----------
-11
(1 row)
SELECT cosine_distance('{1,2}'::half[], '{2,4}'::half[]);
cosine_distance
-----------------
0
(1 row)
SELECT cosine_distance('{1,2}'::half[], '{0,0}'::half[]);
cosine_distance
-----------------
NaN
(1 row)
SELECT cosine_distance('{1,1}'::half[], '{1,1}'::half[]);
cosine_distance
-----------------
0
(1 row)
SELECT cosine_distance('{1,0}'::half[], '{0,2}'::half[]);
cosine_distance
-----------------
1
(1 row)
SELECT cosine_distance('{1,1}'::half[], '{-1,-1}'::half[]);
cosine_distance
-----------------
2
(1 row)
SELECT cosine_distance('{1,2}'::half[], '{3}'::half[]);
ERROR: different dimensions 2 and 1
SELECT cosine_distance('{1,1}'::half[], '{1.1,1.1}'::half[]);
cosine_distance
-----------------
0
(1 row)
SELECT cosine_distance('{1,1}'::half[], '{-1.1,-1.1}'::half[]);
cosine_distance
-----------------
2
(1 row)
SELECT '{1,2}'::half[] <=> '{2,4}'::half[];
?column?
----------
0
(1 row)
SELECT l1_distance('{0,0}'::half[], '{3,4}');
l1_distance
-------------
7
(1 row)
SELECT l1_distance('{0,0}'::half[], '{0,1}');
l1_distance
-------------
1
(1 row)
SELECT l1_distance('{1,2}'::half[], '{3}');
ERROR: different dimensions 2 and 1

View File

@@ -1,7 +1,7 @@
CREATE TABLE t (val vector(3), val2 half[]); CREATE TABLE t (val vector(3));
INSERT INTO t (val, val2) VALUES ('[0,0,0]', '{0,0,0}'), ('[1,2,3]', '{1,2,3}'), ('[1,1,1]', '{1,1,1}'), (NULL, NULL); INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
CREATE TABLE t2 (val vector(3), val2 half[]); CREATE TABLE t2 (val vector(3));
\copy t TO 'results/data.bin' WITH (FORMAT binary) \copy t TO 'results/data.bin' WITH (FORMAT binary)
\copy t2 FROM 'results/data.bin' WITH (FORMAT binary) \copy t2 FROM 'results/data.bin' WITH (FORMAT binary)

View File

@@ -13,29 +13,29 @@ SELECT vector_norm('[3,4]');
SELECT vector_norm('[0,1]'); SELECT vector_norm('[0,1]');
SELECT vector_norm('[3e37,4e37]')::real; SELECT vector_norm('[3e37,4e37]')::real;
SELECT l2_distance('[0,0]'::vector, '[3,4]'); SELECT l2_distance('[0,0]', '[3,4]');
SELECT l2_distance('[0,0]'::vector, '[0,1]'); SELECT l2_distance('[0,0]', '[0,1]');
SELECT l2_distance('[1,2]'::vector, '[3]'); SELECT l2_distance('[1,2]', '[3]');
SELECT l2_distance('[3e38]'::vector, '[-3e38]'); SELECT l2_distance('[3e38]', '[-3e38]');
SELECT inner_product('[1,2]'::vector, '[3,4]'); SELECT inner_product('[1,2]', '[3,4]');
SELECT inner_product('[1,2]'::vector, '[3]'); SELECT inner_product('[1,2]', '[3]');
SELECT inner_product('[3e38]'::vector, '[3e38]'); SELECT inner_product('[3e38]', '[3e38]');
SELECT cosine_distance('[1,2]'::vector, '[2,4]'); SELECT cosine_distance('[1,2]', '[2,4]');
SELECT cosine_distance('[1,2]'::vector, '[0,0]'); SELECT cosine_distance('[1,2]', '[0,0]');
SELECT cosine_distance('[1,1]'::vector, '[1,1]'); SELECT cosine_distance('[1,1]', '[1,1]');
SELECT cosine_distance('[1,0]'::vector, '[0,2]'); SELECT cosine_distance('[1,0]', '[0,2]');
SELECT cosine_distance('[1,1]'::vector, '[-1,-1]'); SELECT cosine_distance('[1,1]', '[-1,-1]');
SELECT cosine_distance('[1,2]'::vector, '[3]'); SELECT cosine_distance('[1,2]', '[3]');
SELECT cosine_distance('[1,1]'::vector, '[1.1,1.1]'); SELECT cosine_distance('[1,1]', '[1.1,1.1]');
SELECT cosine_distance('[1,1]'::vector, '[-1.1,-1.1]'); SELECT cosine_distance('[1,1]', '[-1.1,-1.1]');
SELECT cosine_distance('[3e38]'::vector, '[3e38]'); SELECT cosine_distance('[3e38]', '[3e38]');
SELECT l1_distance('[0,0]'::vector, '[3,4]'); SELECT l1_distance('[0,0]', '[3,4]');
SELECT l1_distance('[0,0]'::vector, '[0,1]'); SELECT l1_distance('[0,0]', '[0,1]');
SELECT l1_distance('[1,2]'::vector, '[3]'); SELECT l1_distance('[1,2]', '[3]');
SELECT l1_distance('[3e38]'::vector, '[-3e38]'); SELECT l1_distance('[3e38]', '[-3e38]');
SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]']) v; SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]']) v;
SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]', NULL]) v; SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]', NULL]) v;

View File

@@ -1,53 +0,0 @@
SELECT '1.5'::half;
SELECT '65504'::half;
SELECT '65505'::half;
SELECT '-65504'::half;
SELECT '-65505'::half;
SELECT ''::half;
SELECT ' '::half;
SELECT '-'::half;
SELECT ' 1.5'::half;
SELECT '1.5 '::half;
SELECT '1.5a'::half;
SELECT '{1,2,3}'::half[];
SELECT '{1,2,3}'::half[]::real[];
SELECT '65505'::integer::half;
SELECT 'NaN'::real::half;
SELECT 'Infinity'::real::half;
SELECT '1e-38'::real::half;
SELECT '1.5'::half::real;
SELECT '1.5'::real::half;
SELECT '1.5'::half::double precision;
SELECT '1.5'::double precision::half;
SELECT '1.5'::half::numeric;
SELECT '1.5'::numeric::half;
SELECT l2_distance('{0,0}'::half[], '{3,4}'::half[]);
SELECT l2_distance('{0,0}'::half[], '{0,1}'::half[]);
SELECT l2_distance('{1,2}'::half[], '{3}'::half[]);
SELECT '{0,0}'::half[] <-> '{3,4}'::half[];
SELECT inner_product('{1,2}'::half[], '{3,4}'::half[]);
SELECT inner_product('{1,2}'::half[], '{3}'::half[]);
SELECT inner_product('{65504}'::half[], '{65504}'::half[]);
SELECT '{1,2}'::half[] <#> '{3,4}'::half[];
SELECT cosine_distance('{1,2}'::half[], '{2,4}'::half[]);
SELECT cosine_distance('{1,2}'::half[], '{0,0}'::half[]);
SELECT cosine_distance('{1,1}'::half[], '{1,1}'::half[]);
SELECT cosine_distance('{1,0}'::half[], '{0,2}'::half[]);
SELECT cosine_distance('{1,1}'::half[], '{-1,-1}'::half[]);
SELECT cosine_distance('{1,2}'::half[], '{3}'::half[]);
SELECT cosine_distance('{1,1}'::half[], '{1.1,1.1}'::half[]);
SELECT cosine_distance('{1,1}'::half[], '{-1.1,-1.1}'::half[]);
SELECT '{1,2}'::half[] <=> '{2,4}'::half[];
SELECT l1_distance('{0,0}'::half[], '{3,4}');
SELECT l1_distance('{0,0}'::half[], '{0,1}');
SELECT l1_distance('{1,2}'::half[], '{3}');

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@@ -1,43 +0,0 @@
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();

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@@ -0,0 +1,64 @@
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();

62
test/t/020_hnsw_limit.pl Normal file
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@@ -0,0 +1,62 @@
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();