mirror of
https://github.com/pgvector/pgvector.git
synced 2026-07-22 20:15:46 +08:00
Compare commits
85 Commits
hqann-bigi
...
hnsw-filte
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
6a9eb2e355 | ||
|
|
490522b883 | ||
|
|
a1a38156d7 | ||
|
|
042ddfdc8a | ||
|
|
56870ce04d | ||
|
|
4ab77f3d24 | ||
|
|
cc9e6a6778 | ||
|
|
8f1b669c4f | ||
|
|
1ff9ab5133 | ||
|
|
4894dc5da1 | ||
|
|
7390f31261 | ||
|
|
b7304a3a4a | ||
|
|
018ceb7a46 | ||
|
|
0b2be00622 | ||
|
|
0ce497a1b1 | ||
|
|
c7d60346d8 | ||
|
|
597bfdc76b | ||
|
|
cbf3eb4fa5 | ||
|
|
cacd389f6d | ||
|
|
423cc2b06c | ||
|
|
85c4ef6a14 | ||
|
|
c6160a783a | ||
|
|
1881b857f9 | ||
|
|
51bde5fb22 | ||
|
|
10e65ce349 | ||
|
|
61279f5a59 | ||
|
|
72b3889e26 | ||
|
|
bb21b2decf | ||
|
|
8a65c0e831 | ||
|
|
7d75d423e4 | ||
|
|
6cad1f5de0 | ||
|
|
67eeade63c | ||
|
|
108fb09d7b | ||
|
|
65d060ac86 | ||
|
|
62ee33bb92 | ||
|
|
520e274dde | ||
|
|
9e680884bd | ||
|
|
19a0e1b341 | ||
|
|
c7fe1571ee | ||
|
|
cb4c770df2 | ||
|
|
85fdecd79b | ||
|
|
6132428914 | ||
|
|
81d13bd40f | ||
|
|
8ee37b60a0 | ||
|
|
9b73b3d1a6 | ||
|
|
cae630784b | ||
|
|
d87bcd2deb | ||
|
|
736576220a | ||
|
|
a508b120c1 | ||
|
|
9a782d29f8 | ||
|
|
1e422cd62b | ||
|
|
569c69580a | ||
|
|
59509c3a17 | ||
|
|
61738846af | ||
|
|
e8c3bf0cef | ||
|
|
50d1aed3d8 | ||
|
|
66e14d2434 | ||
|
|
42cd4c6833 | ||
|
|
dcbe0b6f0d | ||
|
|
f61d4087b5 | ||
|
|
57554e5b46 | ||
|
|
6738fa0bd7 | ||
|
|
9ab10aa674 | ||
|
|
ec41dfa1d7 | ||
|
|
43e0b3d9d4 | ||
|
|
2bff7ccaa2 | ||
|
|
e88a425c9b | ||
|
|
921427ee03 | ||
|
|
a59aa02dd9 | ||
|
|
2fef497b7e | ||
|
|
0e19a984fb | ||
|
|
a156f6c7ae | ||
|
|
c653ac524f | ||
|
|
bf0d56e78e | ||
|
|
4d6739a7af | ||
|
|
ff744214d0 | ||
|
|
7ca9298163 | ||
|
|
ff3bffd9a8 | ||
|
|
014753eb9c | ||
|
|
6763661d3d | ||
|
|
d287921d15 | ||
|
|
5b12ae8225 | ||
|
|
4549e8aeb1 | ||
|
|
3263b350f5 | ||
|
|
dfee5d4045 |
@@ -1,6 +1,11 @@
|
||||
## 0.6.0 (unreleased)
|
||||
## 0.5.2 (unreleased)
|
||||
|
||||
- Added support for inline filtering with HNSW
|
||||
- Improved performance of HNSW
|
||||
- Added support for on-disk parallel index builds for HNSW
|
||||
- Reduced memory usage for HNSW index builds
|
||||
- Reduced WAL generation for HNSW index builds
|
||||
- Fixed error with logical replication
|
||||
- Fixed `invalid memory alloc request size` error with HNSW index build
|
||||
|
||||
## 0.5.1 (2023-10-10)
|
||||
|
||||
|
||||
244
README.md
244
README.md
@@ -10,7 +10,7 @@ Store your vectors with the rest of your data. Supports:
|
||||
|
||||
Plus [ACID](https://en.wikipedia.org/wiki/ACID) compliance, point-in-time recovery, JOINs, and all of the other [great features](https://www.postgresql.org/about/) of Postgres
|
||||
|
||||
[](https://github.com/pgvector/pgvector/actions)
|
||||
[](https://github.com/pgvector/pgvector/actions)
|
||||
|
||||
## Installation
|
||||
|
||||
@@ -161,8 +161,97 @@ You can add an index to use approximate nearest neighbor search, which trades so
|
||||
|
||||
Supported index types are:
|
||||
|
||||
- [IVFFlat](#ivfflat)
|
||||
- [HNSW](#hnsw) - added in 0.5.0
|
||||
- [IVFFlat](#ivfflat)
|
||||
|
||||
## HNSW
|
||||
|
||||
An HNSW index creates a multilayer graph. It has better query performance than IVFFlat (in terms of speed-recall tradeoff), but has slower build times and uses more memory. Also, an index can be created without any data in the table since there isn’t a training step like IVFFlat.
|
||||
|
||||
Add an index for each distance function you want to use.
|
||||
|
||||
L2 distance
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING hnsw (embedding vector_l2_ops);
|
||||
```
|
||||
|
||||
Inner product
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING hnsw (embedding vector_ip_ops);
|
||||
```
|
||||
|
||||
Cosine distance
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING hnsw (embedding vector_cosine_ops);
|
||||
```
|
||||
|
||||
Vectors with up to 2,000 dimensions can be indexed.
|
||||
|
||||
### Index Options
|
||||
|
||||
Specify HNSW parameters
|
||||
|
||||
- `m` - the max number of connections per layer (16 by default)
|
||||
- `ef_construction` - the size of the dynamic candidate list for constructing the graph (64 by default)
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING hnsw (embedding vector_l2_ops) WITH (m = 16, ef_construction = 64);
|
||||
```
|
||||
|
||||
A higher value of `ef_construction` provides better recall at the cost of index build time / insert speed.
|
||||
|
||||
### Query Options
|
||||
|
||||
Specify the size of the dynamic candidate list for search (40 by default)
|
||||
|
||||
```sql
|
||||
SET hnsw.ef_search = 100;
|
||||
```
|
||||
|
||||
A higher value provides better recall at the cost of speed.
|
||||
|
||||
Use `SET LOCAL` inside a transaction to set it for a single query
|
||||
|
||||
```sql
|
||||
BEGIN;
|
||||
SET LOCAL hnsw.ef_search = 100;
|
||||
SELECT ...
|
||||
COMMIT;
|
||||
```
|
||||
|
||||
### Index Build Time
|
||||
|
||||
Indexes build significantly faster when the graph fits into `maintenance_work_mem`
|
||||
|
||||
```sql
|
||||
SET maintenance_work_mem = '8GB';
|
||||
```
|
||||
|
||||
A notice is shown when the graph no longer fits
|
||||
|
||||
```text
|
||||
NOTICE: hnsw graph no longer fits into maintenance_work_mem after 100000 tuples
|
||||
DETAIL: Building will take significantly more time.
|
||||
HINT: Increase maintenance_work_mem to speed up builds.
|
||||
```
|
||||
|
||||
Note: Do not set `maintenance_work_mem` so high that it exhausts the memory on the server
|
||||
|
||||
### Indexing Progress
|
||||
|
||||
Check [indexing progress](https://www.postgresql.org/docs/current/progress-reporting.html#CREATE-INDEX-PROGRESS-REPORTING) with Postgres 12+
|
||||
|
||||
```sql
|
||||
SELECT phase, round(100.0 * blocks_done / nullif(blocks_total, 0), 1) AS "%" FROM pg_stat_progress_create_index;
|
||||
```
|
||||
|
||||
The phases for HNSW are:
|
||||
|
||||
1. `initializing`
|
||||
2. `loading tuples`
|
||||
|
||||
## IVFFlat
|
||||
|
||||
@@ -215,6 +304,16 @@ 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+
|
||||
@@ -232,75 +331,6 @@ The phases for IVFFlat are:
|
||||
|
||||
Note: `%` is only populated during the `loading tuples` phase
|
||||
|
||||
## 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). There’s no training step like IVFFlat, so the index can be created without any data in the table.
|
||||
|
||||
Add an index for each distance function you want to use.
|
||||
|
||||
L2 distance
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING hnsw (embedding vector_l2_ops);
|
||||
```
|
||||
|
||||
Inner product
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING hnsw (embedding vector_ip_ops);
|
||||
```
|
||||
|
||||
Cosine distance
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING hnsw (embedding vector_cosine_ops);
|
||||
```
|
||||
|
||||
Vectors with up to 2,000 dimensions can be indexed.
|
||||
|
||||
### Index Options
|
||||
|
||||
Specify HNSW parameters
|
||||
|
||||
- `m` - the max number of connections per layer (16 by default)
|
||||
- `ef_construction` - the size of the dynamic candidate list for constructing the graph (64 by default)
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING hnsw (embedding vector_l2_ops) WITH (m = 16, ef_construction = 64);
|
||||
```
|
||||
|
||||
### Query Options
|
||||
|
||||
Specify the size of the dynamic candidate list for search (40 by default)
|
||||
|
||||
```sql
|
||||
SET hnsw.ef_search = 100;
|
||||
```
|
||||
|
||||
A higher value provides better recall at the cost of speed.
|
||||
|
||||
Use `SET LOCAL` inside a transaction to set it for a single query
|
||||
|
||||
```sql
|
||||
BEGIN;
|
||||
SET LOCAL hnsw.ef_search = 100;
|
||||
SELECT ...
|
||||
COMMIT;
|
||||
```
|
||||
|
||||
### Indexing Progress
|
||||
|
||||
Check [indexing progress](https://www.postgresql.org/docs/current/progress-reporting.html#CREATE-INDEX-PROGRESS-REPORTING) with Postgres 12+
|
||||
|
||||
```sql
|
||||
SELECT phase, round(100.0 * blocks_done / nullif(blocks_total, 0), 1) AS "%" FROM pg_stat_progress_create_index;
|
||||
```
|
||||
|
||||
The phases for HNSW are:
|
||||
|
||||
1. `initializing`
|
||||
2. `loading tuples`
|
||||
|
||||
## Filtering
|
||||
|
||||
There are a few ways to index nearest neighbor queries with a `WHERE` clause
|
||||
@@ -315,17 +345,10 @@ Create an index on one [or more](https://www.postgresql.org/docs/current/indexes
|
||||
CREATE INDEX ON items (category_id);
|
||||
```
|
||||
|
||||
Or a composite HNSW index for approximate search (added in 0.6.0)
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING hnsw (embedding vector_l2_ops, category_id);
|
||||
```
|
||||
|
||||
Or a [partial index](https://www.postgresql.org/docs/current/indexes-partial.html) on the vector column for approximate search
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING ivfflat (embedding vector_l2_ops) WITH (lists = 100)
|
||||
WHERE (category_id = 123);
|
||||
CREATE INDEX ON items USING hnsw (embedding vector_l2_ops) 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
|
||||
@@ -383,7 +406,7 @@ Language | Libraries / Examples
|
||||
--- | ---
|
||||
C | [pgvector-c](https://github.com/pgvector/pgvector-c)
|
||||
C++ | [pgvector-cpp](https://github.com/pgvector/pgvector-cpp)
|
||||
C# | [pgvector-dotnet](https://github.com/pgvector/pgvector-dotnet)
|
||||
C#, F#, Visual Basic | [pgvector-dotnet](https://github.com/pgvector/pgvector-dotnet)
|
||||
Crystal | [pgvector-crystal](https://github.com/pgvector/pgvector-crystal)
|
||||
Dart | [pgvector-dart](https://github.com/pgvector/pgvector-dart)
|
||||
Elixir | [pgvector-elixir](https://github.com/pgvector/pgvector-elixir)
|
||||
@@ -392,8 +415,10 @@ Haskell | [pgvector-haskell](https://github.com/pgvector/pgvector-haskell)
|
||||
Java, Kotlin, Groovy, Scala | [pgvector-java](https://github.com/pgvector/pgvector-java)
|
||||
JavaScript, TypeScript | [pgvector-node](https://github.com/pgvector/pgvector-node)
|
||||
Julia | [pgvector-julia](https://github.com/pgvector/pgvector-julia)
|
||||
Lisp | [pgvector-lisp](https://github.com/pgvector/pgvector-lisp)
|
||||
Lua | [pgvector-lua](https://github.com/pgvector/pgvector-lua)
|
||||
Nim | [pgvector-nim](https://github.com/pgvector/pgvector-nim)
|
||||
OCaml | [pgvector-ocaml](https://github.com/pgvector/pgvector-ocaml)
|
||||
Perl | [pgvector-perl](https://github.com/pgvector/pgvector-perl)
|
||||
PHP | [pgvector-php](https://github.com/pgvector/pgvector-php)
|
||||
Python | [pgvector-python](https://github.com/pgvector/pgvector-python)
|
||||
@@ -466,6 +491,14 @@ and query with:
|
||||
SELECT * FROM items ORDER BY embedding::vector(3) <-> '[3,1,2]' LIMIT 5;
|
||||
```
|
||||
|
||||
#### Do indexes need to fit into memory?
|
||||
|
||||
No, but like other index types, you’ll likely see better performance if they do. You can get the size of an index with:
|
||||
|
||||
```sql
|
||||
SELECT pg_size_pretty(pg_relation_size('index_name'));
|
||||
```
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
#### Why isn’t a query using an index?
|
||||
@@ -549,7 +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:
|
||||
|
||||
```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:
|
||||
@@ -558,6 +591,14 @@ Then re-run the installation instructions (run `make clean` before `make` if nee
|
||||
sudo --preserve-env=PG_CONFIG make install
|
||||
```
|
||||
|
||||
A few common paths on Mac are:
|
||||
|
||||
- EDB installer - `/Library/PostgreSQL/16/bin/pg_config`
|
||||
- Homebrew (arm64) - `/opt/homebrew/opt/postgresql@16/bin/pg_config`
|
||||
- Homebrew (x86-64) - `/usr/local/opt/postgresql@16/bin/pg_config`
|
||||
|
||||
Note: Replace `16` with your Postgres server version
|
||||
|
||||
### Missing Header
|
||||
|
||||
If compilation fails with `fatal error: postgres.h: No such file or directory`, make sure Postgres development files are installed on the server.
|
||||
@@ -565,10 +606,14 @@ If compilation fails with `fatal error: postgres.h: No such file or directory`,
|
||||
For Ubuntu and Debian, use:
|
||||
|
||||
```sh
|
||||
sudo apt install postgresql-server-dev-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
|
||||
|
||||
@@ -583,7 +628,7 @@ Note: The exact path will vary depending on your Visual Studio version and editi
|
||||
Then use `nmake` to build:
|
||||
|
||||
```cmd
|
||||
set "PGROOT=C:\Program Files\PostgreSQL\15"
|
||||
set "PGROOT=C:\Program Files\PostgreSQL\16"
|
||||
git clone --branch v0.5.1 https://github.com/pgvector/pgvector.git
|
||||
cd pgvector
|
||||
nmake /F Makefile.win
|
||||
@@ -633,22 +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:
|
||||
|
||||
```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
|
||||
|
||||
RPM packages are available from the [PostgreSQL Yum Repository](https://yum.postgresql.org/). Follow the [setup instructions](https://www.postgresql.org/download/linux/redhat/) for your distribution and run:
|
||||
|
||||
```sh
|
||||
sudo yum install pgvector_15
|
||||
sudo yum install pgvector_16
|
||||
# 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
|
||||
|
||||
@@ -718,7 +763,6 @@ Thanks to:
|
||||
- [k-means++: The Advantage of Careful Seeding](https://theory.stanford.edu/~sergei/papers/kMeansPP-soda.pdf)
|
||||
- [Concept Decompositions for Large Sparse Text Data using Clustering](https://www.cs.utexas.edu/users/inderjit/public_papers/concept_mlj.pdf)
|
||||
- [Efficient and Robust Approximate Nearest Neighbor Search using Hierarchical Navigable Small World Graphs](https://arxiv.org/ftp/arxiv/papers/1603/1603.09320.pdf)
|
||||
- [HQANN: Efficient and Robust Similarity Search for Hybrid Queries with Structured and Unstructured Constraints](https://arxiv.org/pdf/2207.07940.pdf)
|
||||
|
||||
## History
|
||||
|
||||
@@ -759,7 +803,25 @@ make prove_installcheck PROVE_TESTS=test/t/001_wal.pl # TAP test
|
||||
To enable benchmarking:
|
||||
|
||||
```sh
|
||||
make clean && PG_CFLAGS=-DIVFFLAT_BENCH make && make install
|
||||
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
|
||||
|
||||
@@ -1,18 +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 FUNCTION hnsw_attribute_distance(integer, integer) RETURNS float8
|
||||
AS 'MODULE_PATHNAME', 'hnsw_int4_attribute_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||
|
||||
CREATE FUNCTION hnsw_attribute_distance(bigint, bigint) RETURNS float8
|
||||
AS 'MODULE_PATHNAME', 'hnsw_int8_attribute_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||
|
||||
CREATE OPERATOR CLASS vector_integer_ops
|
||||
DEFAULT FOR TYPE integer USING hnsw AS
|
||||
OPERATOR 2 = (integer, integer),
|
||||
FUNCTION 3 hnsw_attribute_distance(integer, integer);
|
||||
|
||||
CREATE OPERATOR CLASS vector_bigint_ops
|
||||
DEFAULT FOR TYPE bigint USING hnsw AS
|
||||
OPERATOR 2 = (bigint, bigint),
|
||||
FUNCTION 3 hnsw_attribute_distance(bigint, bigint);
|
||||
@@ -290,21 +290,3 @@ CREATE OPERATOR CLASS vector_cosine_ops
|
||||
OPERATOR 1 <=> (vector, vector) FOR ORDER BY float_ops,
|
||||
FUNCTION 1 vector_negative_inner_product(vector, vector),
|
||||
FUNCTION 2 vector_norm(vector);
|
||||
|
||||
-- hnsw attributes
|
||||
|
||||
CREATE FUNCTION hnsw_attribute_distance(integer, integer) RETURNS float8
|
||||
AS 'MODULE_PATHNAME', 'hnsw_int4_attribute_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||
|
||||
CREATE FUNCTION hnsw_attribute_distance(bigint, bigint) RETURNS float8
|
||||
AS 'MODULE_PATHNAME', 'hnsw_int8_attribute_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||
|
||||
CREATE OPERATOR CLASS vector_integer_ops
|
||||
DEFAULT FOR TYPE integer USING hnsw AS
|
||||
OPERATOR 2 = (integer, integer),
|
||||
FUNCTION 3 hnsw_attribute_distance(integer, integer);
|
||||
|
||||
CREATE OPERATOR CLASS vector_bigint_ops
|
||||
DEFAULT FOR TYPE bigint USING hnsw AS
|
||||
OPERATOR 2 = (bigint, bigint),
|
||||
FUNCTION 3 hnsw_attribute_distance(bigint, bigint);
|
||||
|
||||
66
src/hnsw.c
66
src/hnsw.c
@@ -14,6 +14,7 @@
|
||||
#endif
|
||||
|
||||
int hnsw_ef_search;
|
||||
bool hnsw_enable_parallel_build;
|
||||
static relopt_kind hnsw_relopt_kind;
|
||||
|
||||
/*
|
||||
@@ -39,6 +40,11 @@ HnswInit(void)
|
||||
DefineCustomIntVariable("hnsw.ef_search", "Sets the size of the dynamic candidate list for search",
|
||||
"Valid range is 1..1000.", &hnsw_ef_search,
|
||||
HNSW_DEFAULT_EF_SEARCH, HNSW_MIN_EF_SEARCH, HNSW_MAX_EF_SEARCH, PGC_USERSET, 0, NULL, NULL, NULL);
|
||||
|
||||
/* Behind a variable for now since can be slower than building in memory */
|
||||
DefineCustomBoolVariable("hnsw.enable_parallel_build", "Enables or disables building indexes in parallel",
|
||||
NULL, &hnsw_enable_parallel_build,
|
||||
false, PGC_USERSET, 0, NULL, NULL, NULL);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -88,6 +94,34 @@ hnswcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
||||
return;
|
||||
}
|
||||
|
||||
/*
|
||||
* Do not use index if large % of tuples will be filtered unless
|
||||
* enable_seqscan = off
|
||||
*/
|
||||
if (list_length(path->indexinfo->indrestrictinfo) > 0)
|
||||
{
|
||||
double selectivity = 1;
|
||||
ListCell *lc;
|
||||
|
||||
foreach(lc, path->indexinfo->indrestrictinfo)
|
||||
{
|
||||
RestrictInfo *rinfo = lfirst(lc);
|
||||
|
||||
if (rinfo->norm_selec >= 0 && rinfo->norm_selec <= 1)
|
||||
selectivity *= rinfo->norm_selec;
|
||||
}
|
||||
|
||||
if (selectivity < 0.1)
|
||||
{
|
||||
*indexStartupCost = 1.0e10 - 1;
|
||||
*indexTotalCost = 1.0e10 - 1;
|
||||
*indexSelectivity = 0;
|
||||
*indexCorrelation = 0;
|
||||
*indexPages = 0;
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
MemSet(&costs, 0, sizeof(costs));
|
||||
|
||||
index = index_open(path->indexinfo->indexoid, NoLock);
|
||||
@@ -167,7 +201,7 @@ hnswhandler(PG_FUNCTION_ARGS)
|
||||
IndexAmRoutine *amroutine = makeNode(IndexAmRoutine);
|
||||
|
||||
amroutine->amstrategies = 0;
|
||||
amroutine->amsupport = 3;
|
||||
amroutine->amsupport = 2;
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
amroutine->amoptsprocnum = 0;
|
||||
#endif
|
||||
@@ -175,7 +209,7 @@ hnswhandler(PG_FUNCTION_ARGS)
|
||||
amroutine->amcanorderbyop = true;
|
||||
amroutine->amcanbackward = false; /* can change direction mid-scan */
|
||||
amroutine->amcanunique = false;
|
||||
amroutine->amcanmulticol = true;
|
||||
amroutine->amcanmulticol = false;
|
||||
amroutine->amoptionalkey = true;
|
||||
amroutine->amsearcharray = false;
|
||||
amroutine->amsearchnulls = false;
|
||||
@@ -222,31 +256,3 @@ hnswhandler(PG_FUNCTION_ARGS)
|
||||
|
||||
PG_RETURN_POINTER(amroutine);
|
||||
}
|
||||
|
||||
/*
|
||||
* Get the distance between two int4 attributes
|
||||
*/
|
||||
PGDLLEXPORT PG_FUNCTION_INFO_V1(hnsw_int4_attribute_distance);
|
||||
Datum
|
||||
hnsw_int4_attribute_distance(PG_FUNCTION_ARGS)
|
||||
{
|
||||
int32 a = PG_GETARG_INT32(0);
|
||||
int32 b = PG_GETARG_INT32(1);
|
||||
double distance = ((double) a) - ((double) b);
|
||||
|
||||
PG_RETURN_FLOAT8(distance);
|
||||
}
|
||||
|
||||
/*
|
||||
* Get the distance between two int8 attributes
|
||||
*/
|
||||
PGDLLEXPORT PG_FUNCTION_INFO_V1(hnsw_int8_attribute_distance);
|
||||
Datum
|
||||
hnsw_int8_attribute_distance(PG_FUNCTION_ARGS)
|
||||
{
|
||||
int64 a = PG_GETARG_INT64(0);
|
||||
int64 b = PG_GETARG_INT64(1);
|
||||
double distance = ((double) a) - ((double) b);
|
||||
|
||||
PG_RETURN_FLOAT8(distance);
|
||||
}
|
||||
|
||||
157
src/hnsw.h
157
src/hnsw.h
@@ -4,7 +4,9 @@
|
||||
#include "postgres.h"
|
||||
|
||||
#include "access/generic_xlog.h"
|
||||
#include "access/parallel.h"
|
||||
#include "access/reloptions.h"
|
||||
#include "lib/ilist.h"
|
||||
#include "nodes/execnodes.h"
|
||||
#include "port.h" /* for random() */
|
||||
#include "utils/sampling.h"
|
||||
@@ -14,12 +16,15 @@
|
||||
#error "Requires PostgreSQL 11+"
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM < 120000
|
||||
#include "access/relscan.h"
|
||||
#endif
|
||||
|
||||
#define HNSW_MAX_DIM 2000
|
||||
|
||||
/* Support functions */
|
||||
#define HNSW_DISTANCE_PROC 1
|
||||
#define HNSW_NORM_PROC 2
|
||||
#define HNSW_ATTRIBUTE_DISTANCE_PROC 3
|
||||
|
||||
#define HNSW_VERSION 1
|
||||
#define HNSW_MAGIC_NUMBER 0xA953A953
|
||||
@@ -68,8 +73,10 @@
|
||||
|
||||
#if PG_VERSION_NUM >= 150000
|
||||
#define RandomDouble() pg_prng_double(&pg_global_prng_state)
|
||||
#define SeedRandom(seed) pg_prng_seed(&pg_global_prng_state, seed)
|
||||
#else
|
||||
#define RandomDouble() (((double) random()) / MAX_RANDOM_VALUE)
|
||||
#define SeedRandom(seed) srandom(seed)
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM < 130000
|
||||
@@ -87,25 +94,28 @@
|
||||
#define HnswGetMl(m) (1 / log(m))
|
||||
|
||||
/* Ensure fits on page and in uint8 */
|
||||
#define HnswGetMaxLevel(m) Min(((BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(HnswPageOpaqueData)) - offsetof(HnswNeighborTupleData, indextids) - sizeof(ItemIdData)) / (sizeof(ItemPointerData)) / m) - 2, 255)
|
||||
#define 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 */
|
||||
extern int hnsw_ef_search;
|
||||
|
||||
typedef struct HnswNeighborArray HnswNeighborArray;
|
||||
extern bool hnsw_enable_parallel_build;
|
||||
|
||||
typedef struct HnswElementData
|
||||
{
|
||||
List *heaptids;
|
||||
slist_node next;
|
||||
ItemPointerData heaptids[HNSW_HEAPTIDS];
|
||||
uint8 heaptidsLength;
|
||||
uint8 level;
|
||||
uint8 deleted;
|
||||
HnswNeighborArray *neighbors;
|
||||
uint32 hash;
|
||||
struct HnswNeighborArray *neighbors;
|
||||
BlockNumber blkno;
|
||||
OffsetNumber offno;
|
||||
OffsetNumber neighborOffno;
|
||||
BlockNumber neighborPage;
|
||||
Datum value;
|
||||
IndexTuple itup;
|
||||
} HnswElementData;
|
||||
|
||||
typedef HnswElementData * HnswElement;
|
||||
@@ -138,6 +148,59 @@ typedef struct HnswOptions
|
||||
int efConstruction; /* size of dynamic candidate list */
|
||||
} HnswOptions;
|
||||
|
||||
typedef struct HnswGraph
|
||||
{
|
||||
slist_head elements;
|
||||
HnswElement entryPoint;
|
||||
long memoryUsed;
|
||||
long memoryTotal;
|
||||
bool flushed;
|
||||
double indtuples;
|
||||
} HnswGraph;
|
||||
|
||||
typedef struct HnswSpool
|
||||
{
|
||||
Relation heap;
|
||||
Relation index;
|
||||
} HnswSpool;
|
||||
|
||||
typedef struct HnswShared
|
||||
{
|
||||
/* Immutable state */
|
||||
Oid heaprelid;
|
||||
Oid indexrelid;
|
||||
bool isconcurrent;
|
||||
int scantuplesortstates;
|
||||
|
||||
/* Worker progress */
|
||||
ConditionVariable workersdonecv;
|
||||
|
||||
/* Mutex for mutable state */
|
||||
slock_t mutex;
|
||||
|
||||
/* Mutable state */
|
||||
int nparticipantsdone;
|
||||
double reltuples;
|
||||
HnswGraph graphData;
|
||||
|
||||
#if PG_VERSION_NUM < 120000
|
||||
ParallelHeapScanDescData heapdesc; /* must come last */
|
||||
#endif
|
||||
} HnswShared;
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
#define ParallelTableScanFromHnswShared(shared) \
|
||||
(ParallelTableScanDesc) ((char *) (shared) + BUFFERALIGN(sizeof(HnswShared)))
|
||||
#endif
|
||||
|
||||
typedef struct HnswLeader
|
||||
{
|
||||
ParallelContext *pcxt;
|
||||
int nparticipanttuplesorts;
|
||||
HnswShared *hnswshared;
|
||||
Snapshot snapshot;
|
||||
} HnswLeader;
|
||||
|
||||
typedef struct HnswBuildState
|
||||
{
|
||||
/* Info */
|
||||
@@ -156,22 +219,24 @@ typedef struct HnswBuildState
|
||||
double reltuples;
|
||||
|
||||
/* Support functions */
|
||||
FmgrInfo **procinfos;
|
||||
FmgrInfo *procinfo;
|
||||
FmgrInfo *normprocinfo;
|
||||
Oid *collations;
|
||||
Oid collation;
|
||||
|
||||
/* Variables */
|
||||
List *elements;
|
||||
HnswElement entryPoint;
|
||||
HnswGraph graphData;
|
||||
HnswGraph *graph;
|
||||
double ml;
|
||||
int maxLevel;
|
||||
long memoryLeft;
|
||||
bool flushed;
|
||||
bool useIndexTuple;
|
||||
Vector *normvec;
|
||||
|
||||
/* Memory */
|
||||
MemoryContext graphCtx;
|
||||
MemoryContext tmpCtx;
|
||||
|
||||
/* Parallel builds */
|
||||
HnswLeader *hnswleader;
|
||||
HnswShared *hnswshared;
|
||||
} HnswBuildState;
|
||||
|
||||
typedef struct HnswMetaPageData
|
||||
@@ -229,9 +294,9 @@ typedef struct HnswScanOpaqueData
|
||||
MemoryContext tmpCtx;
|
||||
|
||||
/* Support functions */
|
||||
FmgrInfo **procinfos;
|
||||
FmgrInfo *procinfo;
|
||||
FmgrInfo *normprocinfo;
|
||||
Oid *collations;
|
||||
Oid collation;
|
||||
} HnswScanOpaqueData;
|
||||
|
||||
typedef HnswScanOpaqueData * HnswScanOpaque;
|
||||
@@ -249,11 +314,11 @@ typedef struct HnswVacuumState
|
||||
int efConstruction;
|
||||
|
||||
/* Support functions */
|
||||
FmgrInfo **procinfos;
|
||||
Oid *collations;
|
||||
FmgrInfo *procinfo;
|
||||
Oid collation;
|
||||
|
||||
/* Variables */
|
||||
HTAB *deleted;
|
||||
struct tidhash_hash *deleted;
|
||||
BufferAccessStrategy bas;
|
||||
HnswNeighborTuple ntup;
|
||||
HnswElementData highestPoint;
|
||||
@@ -267,32 +332,28 @@ int HnswGetM(Relation index);
|
||||
int HnswGetEfConstruction(Relation index);
|
||||
FmgrInfo *HnswOptionalProcInfo(Relation index, uint16 procnum);
|
||||
bool HnswNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result);
|
||||
void HnswCommitBuffer(Buffer buf, GenericXLogState *state);
|
||||
Buffer HnswNewBuffer(Relation index, ForkNumber forkNum);
|
||||
void HnswInitPage(Buffer buf, Page page);
|
||||
void HnswInitRegisterPage(Relation index, Buffer *buf, Page *page, GenericXLogState **state);
|
||||
void HnswInit(void);
|
||||
List *HnswSearchLayer(Datum q, IndexTuple qtup, ScanKeyData *keyData, List *ep, int ef, int lc, Relation index, FmgrInfo **procinfos, Oid *collations, int m, bool loadVec, HnswElement skipElement, bool inMemory);
|
||||
List *HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, int m, bool inserting, HnswElement skipElement);
|
||||
HnswElement HnswGetEntryPoint(Relation index);
|
||||
void HnswGetMetaPageInfo(Relation index, int *m, HnswElement * entryPoint);
|
||||
HnswElement HnswInitElement(ItemPointer tid, int m, double ml, int maxLevel);
|
||||
void HnswFreeElement(HnswElement element);
|
||||
HnswElement HnswInitElementFromBlock(BlockNumber blkno, OffsetNumber offno);
|
||||
void HnswInsertElement(HnswElement element, HnswElement entryPoint, Relation index, FmgrInfo **procinfos, Oid *collations, int m, int efConstruction, bool existing, bool inMemory);
|
||||
HnswElement HnswFindDuplicate(HnswElement e, Relation index);
|
||||
HnswCandidate *HnswEntryCandidate(HnswElement em, Datum q, IndexTuple qtup, ScanKeyData *keyData, Relation rel, FmgrInfo **procinfos, Oid *collations, bool loadVec, bool inMemory);
|
||||
void HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum);
|
||||
void HnswInsertElement(HnswElement element, HnswElement entryPoint, Relation index, FmgrInfo *procinfo, Oid collation, int m, int efConstruction, bool existing);
|
||||
HnswCandidate *HnswEntryCandidate(HnswElement em, Datum q, Relation rel, FmgrInfo *procinfo, Oid collation, bool loadVec);
|
||||
void HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum, bool building);
|
||||
void HnswSetNeighborTuple(HnswNeighborTuple ntup, HnswElement e, int m);
|
||||
void HnswAddHeapTid(HnswElement element, ItemPointer heaptid);
|
||||
void HnswInitNeighbors(HnswElement element, int m);
|
||||
bool HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel);
|
||||
void HnswUpdateNeighborPages(Relation index, FmgrInfo **procinfos, Oid *collations, HnswElement e, int m, bool checkExisting);
|
||||
void HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHeaptids, bool loadVec, Relation index);
|
||||
void HnswLoadElement(HnswElement element, float *distance, Datum *q, IndexTuple qtup, ScanKeyData *keyData, Relation index, FmgrInfo **procinfos, Oid *collations, bool loadVec);
|
||||
void HnswSetElementTuple(HnswElementTuple etup, HnswElement element, bool useIndexTuple);
|
||||
void HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int *updateIdx, Relation index, FmgrInfo **procinfos, Oid *collations, bool inMemory);
|
||||
bool HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel, bool building);
|
||||
void HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement e, int m, bool checkExisting, bool building);
|
||||
void HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHeaptids, bool loadVec);
|
||||
void HnswLoadElement(HnswElement element, float *distance, Datum *q, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec);
|
||||
void HnswSetElementTuple(HnswElementTuple etup, HnswElement element);
|
||||
void HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int *updateIdx, Relation index, FmgrInfo *procinfo, Oid collation);
|
||||
void HnswLoadNeighbors(HnswElement element, Relation index, int m);
|
||||
void HnswElementSetData(HnswElement element, Relation index, Datum value, Datum *values, bool *isnull);
|
||||
PGDLLEXPORT void HnswParallelBuildMain(dsm_segment *seg, shm_toc *toc);
|
||||
|
||||
/* Index access methods */
|
||||
IndexBuildResult *hnswbuild(Relation heap, Relation index, IndexInfo *indexInfo);
|
||||
@@ -309,6 +370,32 @@ IndexScanDesc hnswbeginscan(Relation index, int nkeys, int norderbys);
|
||||
void hnswrescan(IndexScanDesc scan, ScanKey keys, int nkeys, ScanKey orderbys, int norderbys);
|
||||
bool hnswgettuple(IndexScanDesc scan, ScanDirection dir);
|
||||
void hnswendscan(IndexScanDesc scan);
|
||||
FmgrInfo **HnswInitProcinfos(Relation index);
|
||||
|
||||
/* 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
|
||||
|
||||
813
src/hnswbuild.c
813
src/hnswbuild.c
File diff suppressed because it is too large
Load Diff
183
src/hnswinsert.c
183
src/hnswinsert.c
@@ -5,6 +5,7 @@
|
||||
#include "hnsw.h"
|
||||
#include "storage/bufmgr.h"
|
||||
#include "storage/lmgr.h"
|
||||
#include "utils/datum.h"
|
||||
#include "utils/memutils.h"
|
||||
|
||||
/*
|
||||
@@ -92,7 +93,7 @@ HnswFreeOffset(Relation index, Buffer buf, Page page, HnswElement element, Size
|
||||
* Add a new page
|
||||
*/
|
||||
static void
|
||||
HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState *state, Page page)
|
||||
HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState *state, Page page, bool building)
|
||||
{
|
||||
/* Add a new page */
|
||||
LockRelationForExtension(index, ExclusiveLock);
|
||||
@@ -100,7 +101,11 @@ HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState
|
||||
UnlockRelationForExtension(index, ExclusiveLock);
|
||||
|
||||
/* 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);
|
||||
|
||||
/* Update previous buffer */
|
||||
@@ -111,7 +116,7 @@ HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState
|
||||
* Add to element and neighbor pages
|
||||
*/
|
||||
static void
|
||||
WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPage, BlockNumber *updatedInsertPage)
|
||||
WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPage, BlockNumber *updatedInsertPage, bool building)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
@@ -129,10 +134,9 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
|
||||
OffsetNumber freeOffno = InvalidOffsetNumber;
|
||||
OffsetNumber freeNeighborOffno = InvalidOffsetNumber;
|
||||
BlockNumber newInsertPage = InvalidBlockNumber;
|
||||
bool useIndexTuple = IndexRelationGetNumberOfAttributes(index) > 1;
|
||||
|
||||
/* Calculate sizes */
|
||||
etupSize = HNSW_ELEMENT_TUPLE_SIZE(useIndexTuple ? IndexTupleSize(e->itup) : VARSIZE_ANY(DatumGetPointer(e->value)));
|
||||
etupSize = HNSW_ELEMENT_TUPLE_SIZE(VARSIZE_ANY(DatumGetPointer(e->value)));
|
||||
ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(e->level, m);
|
||||
combinedSize = etupSize + ntupSize + sizeof(ItemIdData);
|
||||
maxSize = HNSW_MAX_SIZE;
|
||||
@@ -140,7 +144,7 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
|
||||
|
||||
/* Prepare element tuple */
|
||||
etup = palloc0(etupSize);
|
||||
HnswSetElementTuple(etup, e, useIndexTuple);
|
||||
HnswSetElementTuple(etup, e);
|
||||
|
||||
/* Prepare neighbor tuple */
|
||||
ntup = palloc0(ntupSize);
|
||||
@@ -152,8 +156,16 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
|
||||
buf = ReadBuffer(index, currentPage);
|
||||
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
|
||||
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
if (building)
|
||||
{
|
||||
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 */
|
||||
if (!BlockNumberIsValid(newInsertPage) && PageGetFreeSpace(page) >= minCombinedSize)
|
||||
@@ -173,7 +185,12 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
|
||||
if (HnswFreeOffset(index, buf, page, e, ntupSize, &nbuf, &npage, &freeOffno, &freeNeighborOffno, &newInsertPage))
|
||||
{
|
||||
if (nbuf != buf)
|
||||
npage = GenericXLogRegisterBuffer(state, nbuf, 0);
|
||||
{
|
||||
if (building)
|
||||
npage = BufferGetPage(nbuf);
|
||||
else
|
||||
npage = GenericXLogRegisterBuffer(state, nbuf, 0);
|
||||
}
|
||||
|
||||
break;
|
||||
}
|
||||
@@ -182,7 +199,7 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
|
||||
/* Skip if both tuples can fit on the same page */
|
||||
if (combinedSize > maxSize && PageGetFreeSpace(page) >= etupSize && !BlockNumberIsValid(HnswPageGetOpaque(page)->nextblkno))
|
||||
{
|
||||
HnswInsertAppendPage(index, &nbuf, &npage, state, page);
|
||||
HnswInsertAppendPage(index, &nbuf, &npage, state, page, building);
|
||||
break;
|
||||
}
|
||||
|
||||
@@ -191,7 +208,8 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
|
||||
if (BlockNumberIsValid(currentPage))
|
||||
{
|
||||
/* Move to next page */
|
||||
GenericXLogAbort(state);
|
||||
if (!building)
|
||||
GenericXLogAbort(state);
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
else
|
||||
@@ -199,22 +217,33 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
|
||||
Buffer newbuf;
|
||||
Page newpage;
|
||||
|
||||
HnswInsertAppendPage(index, &newbuf, &newpage, state, page);
|
||||
HnswInsertAppendPage(index, &newbuf, &newpage, state, page, building);
|
||||
|
||||
/* Commit */
|
||||
GenericXLogFinish(state);
|
||||
if (building)
|
||||
MarkBufferDirty(buf);
|
||||
else
|
||||
GenericXLogFinish(state);
|
||||
|
||||
/* Unlock previous buffer */
|
||||
UnlockReleaseBuffer(buf);
|
||||
|
||||
/* Prepare new buffer */
|
||||
state = GenericXLogStart(index);
|
||||
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 */
|
||||
if (PageGetFreeSpace(page) < combinedSize)
|
||||
HnswInsertAppendPage(index, &nbuf, &npage, state, page);
|
||||
HnswInsertAppendPage(index, &nbuf, &npage, state, page, building);
|
||||
else
|
||||
{
|
||||
nbuf = buf;
|
||||
@@ -268,7 +297,14 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
|
||||
}
|
||||
|
||||
/* Commit */
|
||||
GenericXLogFinish(state);
|
||||
if (building)
|
||||
{
|
||||
MarkBufferDirty(buf);
|
||||
if (nbuf != buf)
|
||||
MarkBufferDirty(nbuf);
|
||||
}
|
||||
else
|
||||
GenericXLogFinish(state);
|
||||
UnlockReleaseBuffer(buf);
|
||||
if (nbuf != buf)
|
||||
UnlockReleaseBuffer(nbuf);
|
||||
@@ -302,12 +338,12 @@ ConnectionExists(HnswElement e, HnswNeighborTuple ntup, int startIdx, int lm)
|
||||
* Update neighbors
|
||||
*/
|
||||
void
|
||||
HnswUpdateNeighborPages(Relation index, FmgrInfo **procinfos, Oid *collations, 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--)
|
||||
{
|
||||
int lm = HnswGetLayerM(m, lc);
|
||||
HnswNeighborArray *neighbors = &e->neighbors[lc];
|
||||
HnswNeighborArray *neighbors = HnswGetNeighbors(e, lc);
|
||||
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
{
|
||||
@@ -334,7 +370,7 @@ HnswUpdateNeighborPages(Relation index, FmgrInfo **procinfos, Oid *collations, H
|
||||
*/
|
||||
|
||||
/* Select neighbors */
|
||||
HnswUpdateConnection(e, hc, lm, lc, &idx, index, procinfos, collations, false);
|
||||
HnswUpdateConnection(e, hc, lm, lc, &idx, index, procinfo, collation);
|
||||
|
||||
/* New element was not selected as a neighbor */
|
||||
if (idx == -1)
|
||||
@@ -343,8 +379,16 @@ HnswUpdateNeighborPages(Relation index, FmgrInfo **procinfos, Oid *collations, H
|
||||
/* Register page */
|
||||
buf = ReadBuffer(index, hc->element->neighborPage);
|
||||
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
if (building)
|
||||
{
|
||||
state = NULL;
|
||||
page = BufferGetPage(buf);
|
||||
}
|
||||
else
|
||||
{
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
}
|
||||
|
||||
/* Get tuple */
|
||||
itemid = PageGetItemId(page, offno);
|
||||
@@ -386,9 +430,12 @@ HnswUpdateNeighborPages(Relation index, FmgrInfo **procinfos, Oid *collations, H
|
||||
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
|
||||
|
||||
/* Commit */
|
||||
GenericXLogFinish(state);
|
||||
if (building)
|
||||
MarkBufferDirty(buf);
|
||||
else
|
||||
GenericXLogFinish(state);
|
||||
}
|
||||
else
|
||||
else if (!building)
|
||||
GenericXLogAbort(state);
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
@@ -400,7 +447,7 @@ HnswUpdateNeighborPages(Relation index, FmgrInfo **procinfos, Oid *collations, H
|
||||
* Add a heap TID to an existing element
|
||||
*/
|
||||
static bool
|
||||
HnswAddDuplicate(Relation index, HnswElement element, HnswElement dup)
|
||||
HnswAddDuplicate(Relation index, HnswElement element, HnswElement dup, bool building)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
@@ -413,8 +460,16 @@ HnswAddDuplicate(Relation index, HnswElement element, HnswElement dup)
|
||||
/* Read page */
|
||||
buf = ReadBuffer(index, dup->blkno);
|
||||
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
if (building)
|
||||
{
|
||||
state = NULL;
|
||||
page = BufferGetPage(buf);
|
||||
}
|
||||
else
|
||||
{
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
}
|
||||
|
||||
/* Find space */
|
||||
itemid = PageGetItemId(page, dup->offno);
|
||||
@@ -429,60 +484,84 @@ HnswAddDuplicate(Relation index, HnswElement element, HnswElement dup)
|
||||
/* Either being deleted or we lost our chance to another backend */
|
||||
if (i == 0 || i == HNSW_HEAPTIDS)
|
||||
{
|
||||
GenericXLogAbort(state);
|
||||
if (!building)
|
||||
GenericXLogAbort(state);
|
||||
UnlockReleaseBuffer(buf);
|
||||
return false;
|
||||
}
|
||||
|
||||
/* Add heap TID */
|
||||
etup->heaptids[i] = *((ItemPointer) linitial(element->heaptids));
|
||||
etup->heaptids[i] = element->heaptids[0];
|
||||
|
||||
/* Overwrite tuple */
|
||||
if (!PageIndexTupleOverwrite(page, dup->offno, (Item) etup, etupSize))
|
||||
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
|
||||
|
||||
/* Commit */
|
||||
GenericXLogFinish(state);
|
||||
if (building)
|
||||
MarkBufferDirty(buf);
|
||||
else
|
||||
GenericXLogFinish(state);
|
||||
UnlockReleaseBuffer(buf);
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
/*
|
||||
* Find duplicate element
|
||||
*/
|
||||
static bool
|
||||
HnswFindDuplicate(Relation index, HnswElement element, bool building)
|
||||
{
|
||||
HnswNeighborArray *neighbors = HnswGetNeighbors(element, 0);
|
||||
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
{
|
||||
HnswCandidate *neighbor = &neighbors->items[i];
|
||||
|
||||
/* Exit early since ordered by distance */
|
||||
if (!datumIsEqual(element->value, neighbor->element->value, false, -1))
|
||||
return false;
|
||||
|
||||
if (HnswAddDuplicate(index, element, neighbor->element, building))
|
||||
return true;
|
||||
}
|
||||
|
||||
return false;
|
||||
}
|
||||
|
||||
/*
|
||||
* Write changes to disk
|
||||
*/
|
||||
static void
|
||||
WriteElement(Relation index, FmgrInfo **procinfos, Oid *collations, 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;
|
||||
|
||||
/* Try to add to existing page */
|
||||
if (dup != NULL)
|
||||
{
|
||||
if (HnswAddDuplicate(index, element, dup))
|
||||
return;
|
||||
}
|
||||
/* Look for duplicate */
|
||||
if (HnswFindDuplicate(index, element, building))
|
||||
return;
|
||||
|
||||
/* 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 */
|
||||
if (BlockNumberIsValid(newInsertPage))
|
||||
HnswUpdateMetaPage(index, 0, NULL, newInsertPage, MAIN_FORKNUM);
|
||||
HnswUpdateMetaPage(index, 0, NULL, newInsertPage, MAIN_FORKNUM, building);
|
||||
|
||||
/* Update neighbors */
|
||||
HnswUpdateNeighborPages(index, procinfos, collations, 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)
|
||||
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
|
||||
*/
|
||||
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;
|
||||
FmgrInfo *normprocinfo;
|
||||
@@ -490,9 +569,8 @@ HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_ti
|
||||
HnswElement element;
|
||||
int m;
|
||||
int efConstruction = HnswGetEfConstruction(index);
|
||||
FmgrInfo **procinfos = HnswInitProcinfos(index);
|
||||
Oid *collations = index->rd_indcollation;
|
||||
HnswElement dup;
|
||||
FmgrInfo *procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
||||
Oid collation = index->rd_indcollation[0];
|
||||
LOCKMODE lockmode = ShareLock;
|
||||
|
||||
/* Detoast once for all calls */
|
||||
@@ -502,7 +580,7 @@ HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_ti
|
||||
normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
|
||||
if (normprocinfo != NULL)
|
||||
{
|
||||
if (!HnswNormValue(normprocinfo, collations[0], &value, NULL))
|
||||
if (!HnswNormValue(normprocinfo, collation, &value, NULL))
|
||||
return false;
|
||||
}
|
||||
|
||||
@@ -518,7 +596,7 @@ HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_ti
|
||||
|
||||
/* Create an element */
|
||||
element = HnswInitElement(heap_tid, m, HnswGetMl(m), HnswGetMaxLevel(m));
|
||||
HnswElementSetData(element, index, value, values, isnull);
|
||||
element->value = value;
|
||||
|
||||
/* Prevent concurrent inserts when likely updating entry point */
|
||||
if (entryPoint == NULL || element->level > entryPoint->level)
|
||||
@@ -535,13 +613,10 @@ HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_ti
|
||||
}
|
||||
|
||||
/* Insert element in graph */
|
||||
HnswInsertElement(element, entryPoint, index, procinfos, collations, m, efConstruction, false, false);
|
||||
|
||||
/* Look for duplicate */
|
||||
dup = HnswFindDuplicate(element, index);
|
||||
HnswInsertElement(element, entryPoint, index, procinfo, collation, m, efConstruction, false);
|
||||
|
||||
/* Write to disk */
|
||||
WriteElement(index, procinfos, collations, element, m, efConstruction, dup, entryPoint);
|
||||
WriteElement(index, procinfo, collation, element, m, efConstruction, entryPoint, building);
|
||||
|
||||
/* Release lock */
|
||||
UnlockPage(index, HNSW_UPDATE_LOCK, lockmode);
|
||||
@@ -575,7 +650,7 @@ hnswinsert(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid,
|
||||
oldCtx = MemoryContextSwitchTo(insertCtx);
|
||||
|
||||
/* Insert tuple */
|
||||
HnswInsertTuple(index, values, isnull, heap_tid, heap);
|
||||
HnswInsertTuple(index, values, isnull, heap_tid, heap, false);
|
||||
|
||||
/* Delete memory context */
|
||||
MemoryContextSwitchTo(oldCtx);
|
||||
|
||||
@@ -15,13 +15,12 @@ GetScanItems(IndexScanDesc scan, Datum q)
|
||||
{
|
||||
HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
|
||||
Relation index = scan->indexRelation;
|
||||
FmgrInfo **procinfos = so->procinfos;
|
||||
Oid *collations = so->collations;
|
||||
FmgrInfo *procinfo = so->procinfo;
|
||||
Oid collation = so->collation;
|
||||
List *ep;
|
||||
List *w;
|
||||
int m;
|
||||
HnswElement entryPoint;
|
||||
ScanKeyData *keyData = scan->keyData;
|
||||
|
||||
/* Get m and entry point */
|
||||
HnswGetMetaPageInfo(index, &m, &entryPoint);
|
||||
@@ -29,15 +28,15 @@ GetScanItems(IndexScanDesc scan, Datum q)
|
||||
if (entryPoint == NULL)
|
||||
return NIL;
|
||||
|
||||
ep = list_make1(HnswEntryCandidate(entryPoint, q, NULL, keyData, index, procinfos, collations, false, false));
|
||||
ep = list_make1(HnswEntryCandidate(entryPoint, q, index, procinfo, collation, false));
|
||||
|
||||
for (int lc = entryPoint->level; lc >= 1; lc--)
|
||||
{
|
||||
w = HnswSearchLayer(q, NULL, keyData, ep, 1, lc, index, procinfos, collations, m, false, NULL, false);
|
||||
w = HnswSearchLayer(q, ep, 1, lc, index, procinfo, collation, m, false, NULL);
|
||||
ep = w;
|
||||
}
|
||||
|
||||
return HnswSearchLayer(q, NULL, keyData, ep, hnsw_ef_search, 0, index, procinfos, collations, m, false, NULL, false);
|
||||
return HnswSearchLayer(q, ep, hnsw_ef_search, 0, index, procinfo, collation, m, false, NULL);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -84,7 +83,7 @@ GetScanValue(IndexScanDesc scan)
|
||||
|
||||
/* Fine if normalization fails */
|
||||
if (so->normprocinfo != NULL)
|
||||
HnswNormValue(so->normprocinfo, so->collations[0], &value, NULL);
|
||||
HnswNormValue(so->normprocinfo, so->collation, &value, NULL);
|
||||
}
|
||||
|
||||
return value;
|
||||
@@ -108,9 +107,9 @@ hnswbeginscan(Relation index, int nkeys, int norderbys)
|
||||
ALLOCSET_DEFAULT_SIZES);
|
||||
|
||||
/* Set support functions */
|
||||
so->procinfos = HnswInitProcinfos(index);
|
||||
so->procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
||||
so->normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
|
||||
so->collations = index->rd_indcollation;
|
||||
so->collation = index->rd_indcollation[0];
|
||||
|
||||
scan->opaque = so;
|
||||
|
||||
@@ -189,15 +188,13 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
ItemPointer heaptid;
|
||||
|
||||
/* 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);
|
||||
continue;
|
||||
}
|
||||
|
||||
heaptid = llast(hc->element->heaptids);
|
||||
|
||||
hc->element->heaptids = list_delete_last(hc->element->heaptids);
|
||||
heaptid = &hc->element->heaptids[--hc->element->heaptidsLength];
|
||||
|
||||
MemoryContextSwitchTo(oldCtx);
|
||||
|
||||
@@ -207,9 +204,6 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
scan->xs_ctup.t_self = *heaptid;
|
||||
#endif
|
||||
|
||||
/* TODO Check during scan */
|
||||
scan->xs_recheck = scan->numberOfKeys > 0;
|
||||
|
||||
scan->xs_recheckorderby = false;
|
||||
return true;
|
||||
}
|
||||
@@ -226,7 +220,6 @@ hnswendscan(IndexScanDesc scan)
|
||||
{
|
||||
HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
|
||||
|
||||
pfree(so->procinfos);
|
||||
MemoryContextDelete(so->tmpCtx);
|
||||
|
||||
pfree(so);
|
||||
|
||||
528
src/hnswutils.c
528
src/hnswutils.c
@@ -7,10 +7,89 @@
|
||||
#include "utils/datum.h"
|
||||
#include "vector.h"
|
||||
|
||||
#if PG_VERSION_NUM < 130000
|
||||
#define TYPSTORAGE_PLAIN 'p'
|
||||
#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
|
||||
*/
|
||||
@@ -51,22 +130,6 @@ HnswOptionalProcInfo(Relation index, uint16 procnum)
|
||||
return index_getprocinfo(index, 1, procnum);
|
||||
}
|
||||
|
||||
/*
|
||||
* Init procs
|
||||
*/
|
||||
FmgrInfo **
|
||||
HnswInitProcinfos(Relation index)
|
||||
{
|
||||
int keyAttributes = IndexRelationGetNumberOfKeyAttributes(index);
|
||||
FmgrInfo **procinfos = palloc(keyAttributes * sizeof(FmgrInfo *));
|
||||
|
||||
procinfos[0] = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
||||
for (int i = 1; i < keyAttributes; i++)
|
||||
procinfos[i] = index_getprocinfo(index, i + 1, HNSW_ATTRIBUTE_DISTANCE_PROC);
|
||||
|
||||
return procinfos;
|
||||
}
|
||||
|
||||
/*
|
||||
* Divide by the norm
|
||||
*
|
||||
@@ -121,27 +184,6 @@ HnswInitPage(Buffer buf, Page page)
|
||||
HnswPageGetOpaque(page)->page_id = HNSW_PAGE_ID;
|
||||
}
|
||||
|
||||
/*
|
||||
* Init and register page
|
||||
*/
|
||||
void
|
||||
HnswInitRegisterPage(Relation index, Buffer *buf, Page *page, GenericXLogState **state)
|
||||
{
|
||||
*state = GenericXLogStart(index);
|
||||
*page = GenericXLogRegisterBuffer(*state, *buf, GENERIC_XLOG_FULL_IMAGE);
|
||||
HnswInitPage(*buf, *page);
|
||||
}
|
||||
|
||||
/*
|
||||
* Commit buffer
|
||||
*/
|
||||
void
|
||||
HnswCommitBuffer(Buffer buf, GenericXLogState *state)
|
||||
{
|
||||
GenericXLogFinish(state);
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
|
||||
/*
|
||||
* Allocate neighbors
|
||||
*/
|
||||
@@ -164,17 +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
|
||||
*/
|
||||
@@ -189,29 +220,17 @@ HnswInitElement(ItemPointer heaptid, int m, double ml, int maxLevel)
|
||||
if (level > maxLevel)
|
||||
level = maxLevel;
|
||||
|
||||
element->heaptids = NIL;
|
||||
element->heaptidsLength = 0;
|
||||
HnswAddHeapTid(element, heaptid);
|
||||
|
||||
element->level = level;
|
||||
element->deleted = 0;
|
||||
element->itup = NULL;
|
||||
|
||||
HnswInitNeighbors(element, m);
|
||||
|
||||
return element;
|
||||
}
|
||||
element->value = PointerGetDatum(NULL);
|
||||
|
||||
/*
|
||||
* Free an element
|
||||
*/
|
||||
void
|
||||
HnswFreeElement(HnswElement element)
|
||||
{
|
||||
HnswFreeNeighbors(element);
|
||||
list_free_deep(element->heaptids);
|
||||
if (element->itup)
|
||||
pfree(element->itup);
|
||||
pfree(element);
|
||||
return element;
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -220,10 +239,7 @@ HnswFreeElement(HnswElement element)
|
||||
void
|
||||
HnswAddHeapTid(HnswElement element, ItemPointer heaptid)
|
||||
{
|
||||
ItemPointer copy = palloc(sizeof(ItemPointerData));
|
||||
|
||||
ItemPointerCopy(heaptid, copy);
|
||||
element->heaptids = lappend(element->heaptids, copy);
|
||||
element->heaptids[element->heaptidsLength++] = *heaptid;
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -238,7 +254,6 @@ HnswInitElementFromBlock(BlockNumber blkno, OffsetNumber offno)
|
||||
element->offno = offno;
|
||||
element->neighbors = NULL;
|
||||
element->value = PointerGetDatum(NULL);
|
||||
element->itup = NULL;
|
||||
return element;
|
||||
}
|
||||
|
||||
@@ -316,7 +331,7 @@ HnswUpdateMetaPageInfo(Page page, int updateEntry, HnswElement entryPoint, Block
|
||||
* Update the metapage
|
||||
*/
|
||||
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;
|
||||
Page page;
|
||||
@@ -324,35 +339,43 @@ HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, Bloc
|
||||
|
||||
buf = ReadBufferExtended(index, forkNum, HNSW_METAPAGE_BLKNO, RBM_NORMAL, NULL);
|
||||
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
if (building)
|
||||
{
|
||||
state = NULL;
|
||||
page = BufferGetPage(buf);
|
||||
}
|
||||
else
|
||||
{
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
}
|
||||
|
||||
HnswUpdateMetaPageInfo(page, updateEntry, entryPoint, insertPage);
|
||||
|
||||
HnswCommitBuffer(buf, state);
|
||||
if (building)
|
||||
MarkBufferDirty(buf);
|
||||
else
|
||||
GenericXLogFinish(state);
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
|
||||
/*
|
||||
* Set element tuple, except for neighbor info
|
||||
*/
|
||||
void
|
||||
HnswSetElementTuple(HnswElementTuple etup, HnswElement element, bool useIndexTuple)
|
||||
HnswSetElementTuple(HnswElementTuple etup, HnswElement element)
|
||||
{
|
||||
etup->type = HNSW_ELEMENT_TUPLE_TYPE;
|
||||
etup->level = element->level;
|
||||
etup->deleted = 0;
|
||||
for (int i = 0; i < HNSW_HEAPTIDS; i++)
|
||||
{
|
||||
if (i < list_length(element->heaptids))
|
||||
etup->heaptids[i] = *((ItemPointer) list_nth(element->heaptids, i));
|
||||
if (i < element->heaptidsLength)
|
||||
etup->heaptids[i] = element->heaptids[i];
|
||||
else
|
||||
ItemPointerSetInvalid(&etup->heaptids[i]);
|
||||
}
|
||||
|
||||
if (useIndexTuple)
|
||||
memcpy(&etup->data, element->itup, IndexTupleSize(element->itup));
|
||||
else
|
||||
memcpy(&etup->data, DatumGetPointer(element->value), VARSIZE_ANY(DatumGetPointer(element->value)));
|
||||
memcpy(&etup->data, DatumGetPointer(element->value), VARSIZE_ANY(DatumGetPointer(element->value)));
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -367,7 +390,7 @@ HnswSetNeighborTuple(HnswNeighborTuple ntup, HnswElement e, int m)
|
||||
|
||||
for (int lc = e->level; lc >= 0; lc--)
|
||||
{
|
||||
HnswNeighborArray *neighbors = &e->neighbors[lc];
|
||||
HnswNeighborArray *neighbors = HnswGetNeighbors(e, lc);
|
||||
int lm = HnswGetLayerM(m, lc);
|
||||
|
||||
for (int i = 0; i < lm; i++)
|
||||
@@ -425,7 +448,7 @@ LoadNeighborsFromPage(HnswElement element, Relation index, Page page, int m)
|
||||
if (level < 0)
|
||||
level = 0;
|
||||
|
||||
neighbors = &element->neighbors[level];
|
||||
neighbors = HnswGetNeighbors(element, level);
|
||||
hc = &neighbors->items[neighbors->length++];
|
||||
hc->element = e;
|
||||
}
|
||||
@@ -453,13 +476,13 @@ HnswLoadNeighbors(HnswElement element, Relation index, int m)
|
||||
* Load an element from a tuple
|
||||
*/
|
||||
void
|
||||
HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHeaptids, bool loadVec, Relation index)
|
||||
HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHeaptids, bool loadVec)
|
||||
{
|
||||
element->level = etup->level;
|
||||
element->deleted = etup->deleted;
|
||||
element->neighborPage = ItemPointerGetBlockNumber(&etup->neighbortid);
|
||||
element->neighborOffno = ItemPointerGetOffsetNumber(&etup->neighbortid);
|
||||
element->heaptids = NIL;
|
||||
element->heaptidsLength = 0;
|
||||
|
||||
if (loadHeaptids)
|
||||
{
|
||||
@@ -474,150 +497,14 @@ HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHe
|
||||
}
|
||||
|
||||
if (loadVec)
|
||||
{
|
||||
if (IndexRelationGetNumberOfAttributes(index) > 1)
|
||||
{
|
||||
TupleDesc tupdesc = RelationGetDescr(index);
|
||||
bool unused;
|
||||
|
||||
element->itup = CopyIndexTuple((IndexTuple) &etup->data);
|
||||
element->value = index_getattr(element->itup, 1, tupdesc, &unused);
|
||||
}
|
||||
else
|
||||
{
|
||||
Vector *vec = palloc(VARSIZE_ANY(&etup->data));
|
||||
|
||||
memcpy(vec, &etup->data, VARSIZE_ANY(&etup->data));
|
||||
element->value = PointerGetDatum(vec);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/*
|
||||
* Get the tuple descriptor
|
||||
*/
|
||||
static TupleDesc
|
||||
HnswTupleDesc(Relation index)
|
||||
{
|
||||
TupleDesc tupdesc = CreateTupleDescCopyConstr(RelationGetDescr(index));
|
||||
|
||||
/* Prevent compression */
|
||||
TupleDescAttr(tupdesc, 0)->attstorage = TYPSTORAGE_PLAIN;
|
||||
|
||||
return tupdesc;
|
||||
}
|
||||
|
||||
/*
|
||||
* Set element data
|
||||
*/
|
||||
void
|
||||
HnswElementSetData(HnswElement element, Relation index, Datum value, Datum *values, bool *isnull)
|
||||
{
|
||||
/* TODO Create once per index build */
|
||||
TupleDesc tupdesc = HnswTupleDesc(index);
|
||||
bool unused;
|
||||
Datum tmp;
|
||||
|
||||
tmp = values[0];
|
||||
values[0] = value;
|
||||
element->itup = index_form_tuple(tupdesc, values, isnull);
|
||||
values[0] = tmp;
|
||||
|
||||
element->value = index_getattr(element->itup, 1, tupdesc, &unused);
|
||||
|
||||
FreeTupleDesc(tupdesc);
|
||||
}
|
||||
|
||||
/*
|
||||
* Get the attribute distance
|
||||
*/
|
||||
static inline double
|
||||
AttributeDistance(double e)
|
||||
{
|
||||
/* TODO Better bias */
|
||||
/* must be >> max(w * g) + 1 / log10(2) */
|
||||
double bias = 4.32;
|
||||
|
||||
return e > 0 ? bias - 1.0 / log10(e + 1) : 0;
|
||||
}
|
||||
|
||||
/*
|
||||
* Get the distance
|
||||
*/
|
||||
static double
|
||||
GetDistance(IndexTuple itup, Datum vec, Datum q, IndexTuple qtup, ScanKeyData *keyData, Relation index, FmgrInfo **procinfos, Oid *collations)
|
||||
{
|
||||
double g = DatumGetFloat8(FunctionCall2Coll(procinfos[0], collations[0], q, vec));
|
||||
|
||||
if (IndexRelationGetNumberOfKeyAttributes(index) > 1)
|
||||
{
|
||||
double w = 0.25;
|
||||
double e = 0.0;
|
||||
TupleDesc tupdesc = RelationGetDescr(index);
|
||||
|
||||
if (keyData)
|
||||
{
|
||||
/* TODO need to pass length of key data */
|
||||
int keyCount = 1;
|
||||
|
||||
for (int i = 0; i < keyCount; i++)
|
||||
{
|
||||
ScanKey key = &keyData[i];
|
||||
bool isnull;
|
||||
Datum value = index_getattr(itup, key->sk_attno, tupdesc, &isnull);
|
||||
bool attnull = key->sk_flags & SK_ISNULL;
|
||||
|
||||
if (isnull || attnull)
|
||||
{
|
||||
if (isnull != attnull)
|
||||
e += 1000;
|
||||
}
|
||||
else if (!DatumGetBool(FunctionCall2Coll(&key->sk_func, key->sk_collation, value, key->sk_argument)))
|
||||
{
|
||||
double ei = fabs(DatumGetFloat8(FunctionCall2Coll(procinfos[key->sk_attno - 1], collations[key->sk_attno - 1], value, key->sk_argument)));
|
||||
|
||||
if (ei > 0)
|
||||
e += ei;
|
||||
else
|
||||
/* Distance is zero for inequality */
|
||||
e += 1000;
|
||||
}
|
||||
}
|
||||
|
||||
return w * g + AttributeDistance(e);
|
||||
}
|
||||
else if (qtup)
|
||||
{
|
||||
int keyCount = IndexRelationGetNumberOfKeyAttributes(index) - 1;
|
||||
|
||||
for (int i = 0; i < keyCount; i++)
|
||||
{
|
||||
bool isnull;
|
||||
bool attnull;
|
||||
Datum value = index_getattr(itup, i + 2, tupdesc, &isnull);
|
||||
Datum value2 = index_getattr(qtup, i + 2, tupdesc, &attnull);
|
||||
|
||||
if (isnull || attnull)
|
||||
{
|
||||
if (isnull != attnull)
|
||||
e += 1000;
|
||||
}
|
||||
else
|
||||
e += fabs(DatumGetFloat8(FunctionCall2Coll(procinfos[i + 1], collations[i + 1], value, value2)));
|
||||
}
|
||||
|
||||
return w * g + AttributeDistance(e);
|
||||
}
|
||||
}
|
||||
|
||||
return g;
|
||||
element->value = datumCopy(PointerGetDatum(&etup->data), false, -1);
|
||||
}
|
||||
|
||||
/*
|
||||
* Load an element and optionally get its distance from q
|
||||
*/
|
||||
void
|
||||
HnswLoadElement(HnswElement element, float *distance, Datum *q, IndexTuple qtup, ScanKeyData *keyData, Relation index, FmgrInfo **procinfos, Oid *collations, bool loadVec)
|
||||
HnswLoadElement(HnswElement element, float *distance, Datum *q, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
@@ -633,27 +520,11 @@ HnswLoadElement(HnswElement element, float *distance, Datum *q, IndexTuple qtup,
|
||||
Assert(HnswIsElementTuple(etup));
|
||||
|
||||
/* Load element */
|
||||
HnswLoadElementFromTuple(element, etup, true, loadVec, index);
|
||||
HnswLoadElementFromTuple(element, etup, true, loadVec);
|
||||
|
||||
/* Calculate distance */
|
||||
if (distance != NULL)
|
||||
{
|
||||
IndexTuple itup = NULL;
|
||||
Datum value;
|
||||
|
||||
if (IndexRelationGetNumberOfAttributes(index) > 1)
|
||||
{
|
||||
TupleDesc tupdesc = RelationGetDescr(index);
|
||||
bool unused;
|
||||
|
||||
itup = (IndexTuple) &etup->data;
|
||||
value = index_getattr(itup, 1, tupdesc, &unused);
|
||||
}
|
||||
else
|
||||
value = PointerGetDatum(&etup->data);
|
||||
|
||||
*distance = GetDistance(itup, value, *q, qtup, keyData, index, procinfos, collations);
|
||||
}
|
||||
*distance = (float) DatumGetFloat8(FunctionCall2Coll(procinfo, collation, *q, PointerGetDatum(&etup->data)));
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
@@ -662,24 +533,24 @@ HnswLoadElement(HnswElement element, float *distance, Datum *q, IndexTuple qtup,
|
||||
* Get the distance for a candidate
|
||||
*/
|
||||
static float
|
||||
GetCandidateDistance(HnswCandidate * hc, Datum q, IndexTuple qtup, ScanKeyData *keyData, Relation index, FmgrInfo **procinfos, Oid *collations)
|
||||
GetCandidateDistance(HnswCandidate * hc, Datum q, FmgrInfo *procinfo, Oid collation)
|
||||
{
|
||||
return GetDistance(hc->element->itup, hc->element->value, q, qtup, keyData, index, procinfos, collations);
|
||||
return DatumGetFloat8(FunctionCall2Coll(procinfo, collation, q, hc->element->value));
|
||||
}
|
||||
|
||||
/*
|
||||
* Create a candidate for the entry point
|
||||
*/
|
||||
HnswCandidate *
|
||||
HnswEntryCandidate(HnswElement entryPoint, Datum q, IndexTuple qtup, ScanKeyData *keyData, Relation index, FmgrInfo **procinfos, Oid *collations, bool loadVec, bool inMemory)
|
||||
HnswEntryCandidate(HnswElement entryPoint, Datum q, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec)
|
||||
{
|
||||
HnswCandidate *hc = palloc(sizeof(HnswCandidate));
|
||||
|
||||
hc->element = entryPoint;
|
||||
if (inMemory)
|
||||
hc->distance = GetCandidateDistance(hc, q, qtup, keyData, index, procinfos, collations);
|
||||
if (index == NULL)
|
||||
hc->distance = GetCandidateDistance(hc, q, procinfo, collation);
|
||||
else
|
||||
HnswLoadElement(hc->element, &hc->distance, &q, qtup, keyData, index, procinfos, collations, loadVec);
|
||||
HnswLoadElement(hc->element, &hc->distance, &q, index, procinfo, collation, loadVec);
|
||||
return hc;
|
||||
}
|
||||
|
||||
@@ -729,16 +600,22 @@ CreatePairingHeapNode(HnswCandidate * c)
|
||||
* Add to visited
|
||||
*/
|
||||
static inline void
|
||||
AddToVisited(HTAB *v, HnswCandidate * hc, bool inMemory, bool *found)
|
||||
AddToVisited(visited_hash v, HnswCandidate * hc, Relation index, bool *found)
|
||||
{
|
||||
if (inMemory)
|
||||
hash_search(v, &hc->element, HASH_ENTER, found);
|
||||
if (index == NULL)
|
||||
{
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
pointerhash_insert_hash(v.pointers, (uintptr_t) hc->element, hc->element->hash, found);
|
||||
#else
|
||||
pointerhash_insert(v.pointers, (uintptr_t) hc->element, found);
|
||||
#endif
|
||||
}
|
||||
else
|
||||
{
|
||||
ItemPointerData indextid;
|
||||
|
||||
ItemPointerSet(&indextid, hc->element->blkno, hc->element->offno);
|
||||
hash_search(v, &indextid, HASH_ENTER, found);
|
||||
tidhash_insert(v.tids, indextid, found);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -746,38 +623,28 @@ AddToVisited(HTAB *v, HnswCandidate * hc, bool inMemory, bool *found)
|
||||
* Algorithm 2 from paper
|
||||
*/
|
||||
List *
|
||||
HnswSearchLayer(Datum q, IndexTuple qtup, ScanKeyData *keyData, List *ep, int ef, int lc, Relation index, FmgrInfo **procinfos, Oid *collations, int m, bool loadVec, HnswElement skipElement, bool inMemory)
|
||||
HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, int m, bool inserting, HnswElement skipElement)
|
||||
{
|
||||
ListCell *lc2;
|
||||
|
||||
List *w = NIL;
|
||||
pairingheap *C = pairingheap_allocate(CompareNearestCandidates, NULL);
|
||||
pairingheap *W = pairingheap_allocate(CompareFurthestCandidates, NULL);
|
||||
int wlen = 0;
|
||||
HASHCTL hash_ctl;
|
||||
HTAB *v;
|
||||
visited_hash v;
|
||||
ListCell *lc2;
|
||||
|
||||
/* Create hash table */
|
||||
if (inMemory)
|
||||
{
|
||||
hash_ctl.keysize = sizeof(HnswElement *);
|
||||
hash_ctl.entrysize = sizeof(HnswElement *);
|
||||
}
|
||||
if (index == NULL)
|
||||
v.pointers = pointerhash_create(CurrentMemoryContext, ef * m * 2, NULL);
|
||||
else
|
||||
{
|
||||
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);
|
||||
v.tids = tidhash_create(CurrentMemoryContext, ef * m * 2, NULL);
|
||||
|
||||
/* Add entry points to v, C, and W */
|
||||
foreach(lc2, ep)
|
||||
{
|
||||
HnswCandidate *hc = (HnswCandidate *) lfirst(lc2);
|
||||
bool found;
|
||||
|
||||
AddToVisited(v, hc, inMemory, NULL);
|
||||
AddToVisited(v, hc, index, &found);
|
||||
|
||||
pairingheap_add(C, &(CreatePairingHeapNode(hc)->ph_node));
|
||||
pairingheap_add(W, &(CreatePairingHeapNode(hc)->ph_node));
|
||||
@@ -787,7 +654,7 @@ HnswSearchLayer(Datum q, IndexTuple qtup, ScanKeyData *keyData, List *ep, int ef
|
||||
* would be ideal to do this for inserts as well, but this could
|
||||
* affect insert performance.
|
||||
*/
|
||||
if (skipElement == NULL || list_length(hc->element->heaptids) != 0)
|
||||
if (skipElement == NULL || hc->element->heaptidsLength != 0)
|
||||
wlen++;
|
||||
}
|
||||
|
||||
@@ -804,14 +671,14 @@ HnswSearchLayer(Datum q, IndexTuple qtup, ScanKeyData *keyData, List *ep, int ef
|
||||
HnswLoadNeighbors(c->element, index, m);
|
||||
|
||||
/* Get the neighborhood at layer lc */
|
||||
neighborhood = &c->element->neighbors[lc];
|
||||
neighborhood = HnswGetNeighbors(c->element, lc);
|
||||
|
||||
for (int i = 0; i < neighborhood->length; i++)
|
||||
{
|
||||
HnswCandidate *e = &neighborhood->items[i];
|
||||
bool visited;
|
||||
|
||||
AddToVisited(v, e, inMemory, &visited);
|
||||
AddToVisited(v, e, index, &visited);
|
||||
|
||||
if (!visited)
|
||||
{
|
||||
@@ -819,10 +686,10 @@ HnswSearchLayer(Datum q, IndexTuple qtup, ScanKeyData *keyData, List *ep, int ef
|
||||
|
||||
f = ((HnswPairingHeapNode *) pairingheap_first(W))->inner;
|
||||
|
||||
if (inMemory)
|
||||
eDistance = GetCandidateDistance(e, q, qtup, keyData, index, procinfos, collations);
|
||||
if (index == NULL)
|
||||
eDistance = GetCandidateDistance(e, q, procinfo, collation);
|
||||
else
|
||||
HnswLoadElement(e->element, &eDistance, &q, qtup, keyData, index, procinfos, collations, loadVec);
|
||||
HnswLoadElement(e->element, &eDistance, &q, index, procinfo, collation, inserting);
|
||||
|
||||
Assert(!e->element->deleted);
|
||||
|
||||
@@ -846,7 +713,7 @@ HnswSearchLayer(Datum q, IndexTuple qtup, ScanKeyData *keyData, List *ep, int ef
|
||||
* vacuuming. It would be ideal to do this for inserts as
|
||||
* well, but this could affect insert performance.
|
||||
*/
|
||||
if (skipElement == NULL || list_length(e->element->heaptids) != 0)
|
||||
if (skipElement == NULL || e->element->heaptidsLength != 0)
|
||||
{
|
||||
wlen++;
|
||||
|
||||
@@ -902,46 +769,46 @@ CompareCandidateDistances(const void *a, const void *b)
|
||||
* Calculate the distance between elements
|
||||
*/
|
||||
static float
|
||||
HnswGetCachedDistance(HnswElement a, HnswElement b, int lc, Relation index, FmgrInfo **procinfos, Oid *collations)
|
||||
HnswGetDistance(HnswElement a, HnswElement b, int lc, FmgrInfo *procinfo, Oid collation)
|
||||
{
|
||||
/* Look for cached distance */
|
||||
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)
|
||||
return a->neighbors[lc].items[i].distance;
|
||||
if (neighbors->items[i].element == b)
|
||||
return neighbors->items[i].distance;
|
||||
}
|
||||
}
|
||||
|
||||
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)
|
||||
return b->neighbors[lc].items[i].distance;
|
||||
if (neighbors->items[i].element == a)
|
||||
return neighbors->items[i].distance;
|
||||
}
|
||||
}
|
||||
|
||||
return GetDistance(a->itup, a->value, b->value, b->itup, NULL, index, procinfos, collations);
|
||||
return DatumGetFloat8(FunctionCall2Coll(procinfo, collation, a->value, b->value));
|
||||
}
|
||||
|
||||
/*
|
||||
* Check if an element is closer to q than any element from R
|
||||
*/
|
||||
static bool
|
||||
CheckElementCloser(HnswCandidate * e, List *r, int lc, Relation index, FmgrInfo **procinfos, Oid *collations)
|
||||
CheckElementCloser(HnswCandidate * e, List *r, int lc, FmgrInfo *procinfo, Oid collation)
|
||||
{
|
||||
ListCell *lc2;
|
||||
|
||||
foreach(lc2, r)
|
||||
{
|
||||
HnswCandidate *ri = lfirst(lc2);
|
||||
float distance = HnswGetCachedDistance(e->element, ri->element, lc, index, procinfos, collations);
|
||||
float distance = HnswGetDistance(e->element, ri->element, lc, procinfo, collation);
|
||||
|
||||
if (distance <= e->distance)
|
||||
return false;
|
||||
@@ -954,12 +821,13 @@ CheckElementCloser(HnswCandidate * e, List *r, int lc, Relation index, FmgrInfo
|
||||
* Algorithm 4 from paper
|
||||
*/
|
||||
static List *
|
||||
SelectNeighbors(List *c, int m, int lc, Relation index, FmgrInfo **procinfos, Oid *collations, HnswElement e2, HnswCandidate * newCandidate, HnswCandidate * *pruned, bool sortCandidates)
|
||||
SelectNeighbors(List *c, int m, int lc, FmgrInfo *procinfo, Oid collation, HnswElement e2, HnswCandidate * newCandidate, HnswCandidate * *pruned, bool sortCandidates)
|
||||
{
|
||||
List *r = NIL;
|
||||
List *w = list_copy(c);
|
||||
pairingheap *wd;
|
||||
bool mustCalculate = !e2->neighbors[lc].closerSet;
|
||||
HnswNeighborArray *neighbors = HnswGetNeighbors(e2, lc);
|
||||
bool mustCalculate = !neighbors->closerSet;
|
||||
List *added = NIL;
|
||||
bool removedAny = false;
|
||||
|
||||
@@ -981,7 +849,7 @@ SelectNeighbors(List *c, int m, int lc, Relation index, FmgrInfo **procinfos, Oi
|
||||
|
||||
/* Use previous state of r and wd to skip work when possible */
|
||||
if (mustCalculate)
|
||||
e->closer = CheckElementCloser(e, r, lc, index, procinfos, collations);
|
||||
e->closer = CheckElementCloser(e, r, lc, procinfo, collation);
|
||||
else if (list_length(added) > 0)
|
||||
{
|
||||
/*
|
||||
@@ -990,7 +858,7 @@ SelectNeighbors(List *c, int m, int lc, Relation index, FmgrInfo **procinfos, Oi
|
||||
*/
|
||||
if (e->closer)
|
||||
{
|
||||
e->closer = CheckElementCloser(e, added, lc, index, procinfos, collations);
|
||||
e->closer = CheckElementCloser(e, added, lc, procinfo, collation);
|
||||
|
||||
if (!e->closer)
|
||||
removedAny = true;
|
||||
@@ -1003,7 +871,7 @@ SelectNeighbors(List *c, int m, int lc, Relation index, FmgrInfo **procinfos, Oi
|
||||
*/
|
||||
if (removedAny)
|
||||
{
|
||||
e->closer = CheckElementCloser(e, r, lc, index, procinfos, collations);
|
||||
e->closer = CheckElementCloser(e, r, lc, procinfo, collation);
|
||||
if (e->closer)
|
||||
added = lappend(added, e);
|
||||
}
|
||||
@@ -1011,7 +879,7 @@ SelectNeighbors(List *c, int m, int lc, Relation index, FmgrInfo **procinfos, Oi
|
||||
}
|
||||
else if (e == newCandidate)
|
||||
{
|
||||
e->closer = CheckElementCloser(e, r, lc, index, procinfos, collations);
|
||||
e->closer = CheckElementCloser(e, r, lc, procinfo, collation);
|
||||
if (e->closer)
|
||||
added = lappend(added, e);
|
||||
}
|
||||
@@ -1023,7 +891,7 @@ SelectNeighbors(List *c, int m, int lc, Relation index, FmgrInfo **procinfos, Oi
|
||||
}
|
||||
|
||||
/* Cached value can only be used in future if sorted deterministically */
|
||||
e2->neighbors[lc].closerSet = sortCandidates;
|
||||
neighbors->closerSet = sortCandidates;
|
||||
|
||||
/* Keep pruned connections */
|
||||
while (!pairingheap_is_empty(wd) && list_length(r) < m)
|
||||
@@ -1041,34 +909,6 @@ SelectNeighbors(List *c, int m, int lc, Relation index, FmgrInfo **procinfos, Oi
|
||||
return r;
|
||||
}
|
||||
|
||||
/*
|
||||
* Find duplicate element
|
||||
*/
|
||||
HnswElement
|
||||
HnswFindDuplicate(HnswElement e, Relation index)
|
||||
{
|
||||
HnswNeighborArray *neighbors = &e->neighbors[0];
|
||||
|
||||
/* TODO Implement */
|
||||
if (IndexRelationGetNumberOfAttributes(index) > 1)
|
||||
return NULL;
|
||||
|
||||
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
|
||||
*/
|
||||
@@ -1076,7 +916,7 @@ static void
|
||||
AddConnections(HnswElement element, List *neighbors, int m, int lc)
|
||||
{
|
||||
ListCell *lc2;
|
||||
HnswNeighborArray *a = &element->neighbors[lc];
|
||||
HnswNeighborArray *a = HnswGetNeighbors(element, lc);
|
||||
|
||||
foreach(lc2, neighbors)
|
||||
a->items[a->length++] = *((HnswCandidate *) lfirst(lc2));
|
||||
@@ -1086,9 +926,9 @@ AddConnections(HnswElement element, List *neighbors, int m, int lc)
|
||||
* Update connections
|
||||
*/
|
||||
void
|
||||
HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int *updateIdx, Relation index, FmgrInfo **procinfos, Oid *collations, bool inMemory)
|
||||
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;
|
||||
|
||||
@@ -1109,23 +949,21 @@ HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int
|
||||
HnswCandidate *pruned = NULL;
|
||||
|
||||
/* Load elements on insert */
|
||||
if (!inMemory)
|
||||
if (index != NULL)
|
||||
{
|
||||
Datum q = hc->element->value;
|
||||
IndexTuple qtup = hc->element->itup;
|
||||
ScanKeyData *keyData = NULL;
|
||||
|
||||
for (int i = 0; i < currentNeighbors->length; i++)
|
||||
{
|
||||
HnswCandidate *hc3 = ¤tNeighbors->items[i];
|
||||
|
||||
if (DatumGetPointer(hc3->element->value) == NULL)
|
||||
HnswLoadElement(hc3->element, &hc3->distance, &q, qtup, keyData, index, procinfos, collations, true);
|
||||
HnswLoadElement(hc3->element, &hc3->distance, &q, index, procinfo, collation, true);
|
||||
else
|
||||
hc3->distance = GetCandidateDistance(hc3, q, qtup, keyData, index, procinfos, collations);
|
||||
hc3->distance = GetCandidateDistance(hc3, q, procinfo, collation);
|
||||
|
||||
/* Prune element if being deleted */
|
||||
if (list_length(hc3->element->heaptids) == 0)
|
||||
if (hc3->element->heaptidsLength == 0)
|
||||
{
|
||||
pruned = ¤tNeighbors->items[i];
|
||||
break;
|
||||
@@ -1142,7 +980,7 @@ HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int
|
||||
c = lappend(c, ¤tNeighbors->items[i]);
|
||||
c = lappend(c, &hc2);
|
||||
|
||||
SelectNeighbors(c, m, lc, index, procinfos, collations, hc->element, &hc2, &pruned, true);
|
||||
SelectNeighbors(c, m, lc, procinfo, collation, hc->element, &hc2, &pruned, true);
|
||||
|
||||
/* Should not happen */
|
||||
if (pruned == NULL)
|
||||
@@ -1183,7 +1021,7 @@ RemoveElements(List *w, HnswElement skipElement)
|
||||
if (skipElement != NULL && hc->element->blkno == skipElement->blkno && hc->element->offno == skipElement->offno)
|
||||
continue;
|
||||
|
||||
if (list_length(hc->element->heaptids) != 0)
|
||||
if (hc->element->heaptidsLength != 0)
|
||||
w2 = lappend(w2, hc);
|
||||
}
|
||||
|
||||
@@ -1194,29 +1032,33 @@ RemoveElements(List *w, HnswElement skipElement)
|
||||
* Algorithm 1 from paper
|
||||
*/
|
||||
void
|
||||
HnswInsertElement(HnswElement element, HnswElement entryPoint, Relation index, FmgrInfo **procinfos, Oid *collations, int m, int efConstruction, bool existing, bool inMemory)
|
||||
HnswInsertElement(HnswElement element, HnswElement entryPoint, Relation index, FmgrInfo *procinfo, Oid collation, int m, int efConstruction, bool existing)
|
||||
{
|
||||
List *ep;
|
||||
List *w;
|
||||
int level = element->level;
|
||||
int entryLevel;
|
||||
Datum q = element->value;
|
||||
IndexTuple qtup = element->itup;
|
||||
ScanKeyData *keyData = 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 */
|
||||
if (entryPoint == NULL)
|
||||
return;
|
||||
|
||||
/* Get entry point and level */
|
||||
ep = list_make1(HnswEntryCandidate(entryPoint, q, qtup, keyData, index, procinfos, collations, true, inMemory));
|
||||
ep = list_make1(HnswEntryCandidate(entryPoint, q, index, procinfo, collation, true));
|
||||
entryLevel = entryPoint->level;
|
||||
|
||||
/* 1st phase: greedy search to insert level */
|
||||
for (int lc = entryLevel; lc >= level + 1; lc--)
|
||||
{
|
||||
w = HnswSearchLayer(q, qtup, keyData, ep, 1, lc, index, procinfos, collations, m, true, skipElement, inMemory);
|
||||
w = HnswSearchLayer(q, ep, 1, lc, index, procinfo, collation, m, true, skipElement);
|
||||
ep = w;
|
||||
}
|
||||
|
||||
@@ -1234,11 +1076,11 @@ HnswInsertElement(HnswElement element, HnswElement entryPoint, Relation index, F
|
||||
List *neighbors;
|
||||
List *lw;
|
||||
|
||||
w = HnswSearchLayer(q, qtup, keyData, ep, efConstruction, lc, index, procinfos, collations, m, true, skipElement, inMemory);
|
||||
w = HnswSearchLayer(q, ep, efConstruction, lc, index, procinfo, collation, m, true, skipElement);
|
||||
|
||||
/* Elements being deleted or skipped can help with search */
|
||||
/* but should be removed before selecting neighbors */
|
||||
if (!inMemory)
|
||||
if (index != NULL)
|
||||
lw = RemoveElements(w, skipElement);
|
||||
else
|
||||
lw = w;
|
||||
@@ -1248,7 +1090,7 @@ HnswInsertElement(HnswElement element, HnswElement entryPoint, Relation index, F
|
||||
* sortCandidates to true for in-memory builds to enable closer
|
||||
* caching, but there does not seem to be a difference in performance.
|
||||
*/
|
||||
neighbors = SelectNeighbors(lw, lm, lc, index, procinfos, collations, element, NULL, NULL, false);
|
||||
neighbors = SelectNeighbors(lw, lm, lc, procinfo, collation, element, NULL, NULL, false);
|
||||
|
||||
AddConnections(element, neighbors, lm, lc);
|
||||
|
||||
|
||||
@@ -12,12 +12,9 @@
|
||||
* Check if deleted list contains an index TID
|
||||
*/
|
||||
static bool
|
||||
DeletedContains(HTAB *deleted, ItemPointer indextid)
|
||||
DeletedContains(tidhash_hash * deleted, ItemPointer indextid)
|
||||
{
|
||||
bool found;
|
||||
|
||||
hash_search(deleted, indextid, HASH_FIND, &found);
|
||||
return found;
|
||||
return tidhash_lookup(deleted, *indextid) != NULL;
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -110,11 +107,13 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
|
||||
if (!ItemPointerIsValid(&etup->heaptids[0]))
|
||||
{
|
||||
ItemPointerData ip;
|
||||
bool found;
|
||||
|
||||
/* Add to deleted list */
|
||||
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))
|
||||
{
|
||||
@@ -195,8 +194,8 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswEleme
|
||||
GenericXLogState *state;
|
||||
int m = vacuumstate->m;
|
||||
int efConstruction = vacuumstate->efConstruction;
|
||||
FmgrInfo **procinfos = vacuumstate->procinfos;
|
||||
Oid *collations = vacuumstate->collations;
|
||||
FmgrInfo *procinfo = vacuumstate->procinfo;
|
||||
Oid collation = vacuumstate->collation;
|
||||
BufferAccessStrategy bas = vacuumstate->bas;
|
||||
HnswNeighborTuple ntup = vacuumstate->ntup;
|
||||
Size ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(element->level, m);
|
||||
@@ -207,10 +206,10 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswEleme
|
||||
|
||||
/* Init fields */
|
||||
HnswInitNeighbors(element, m);
|
||||
element->heaptids = NIL;
|
||||
element->heaptidsLength = 0;
|
||||
|
||||
/* Add element to graph, skipping itself */
|
||||
HnswInsertElement(element, entryPoint, index, procinfos, collations, m, efConstruction, true, false);
|
||||
HnswInsertElement(element, entryPoint, index, procinfo, collation, m, efConstruction, true);
|
||||
|
||||
/* Update neighbor tuple */
|
||||
/* Do this before getting page to minimize locking */
|
||||
@@ -231,7 +230,7 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswEleme
|
||||
UnlockReleaseBuffer(buf);
|
||||
|
||||
/* Update neighbors */
|
||||
HnswUpdateNeighborPages(index, procinfos, collations, element, m, true);
|
||||
HnswUpdateNeighborPages(index, procinfo, collation, element, m, true, false);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -258,7 +257,7 @@ RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
|
||||
LockPage(index, HNSW_UPDATE_LOCK, ShareLock);
|
||||
|
||||
/* Load element */
|
||||
HnswLoadElement(highestPoint, NULL, NULL, NULL, NULL, index, vacuumstate->procinfos, vacuumstate->collations, true);
|
||||
HnswLoadElement(highestPoint, NULL, NULL, index, vacuumstate->procinfo, vacuumstate->collation, true);
|
||||
|
||||
/* Repair if needed */
|
||||
if (NeedsUpdated(vacuumstate, highestPoint))
|
||||
@@ -287,7 +286,7 @@ RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
|
||||
* point is outdated and empty, the entry point will be empty
|
||||
* until an element is repaired.
|
||||
*/
|
||||
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_ALWAYS, highestPoint, InvalidBlockNumber, MAIN_FORKNUM);
|
||||
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_ALWAYS, highestPoint, InvalidBlockNumber, MAIN_FORKNUM, false);
|
||||
}
|
||||
else
|
||||
{
|
||||
@@ -296,7 +295,7 @@ RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
|
||||
* is outdated, this can remove connections at higher levels in
|
||||
* the graph until they are repaired, but this should be fine.
|
||||
*/
|
||||
HnswLoadElement(entryPoint, NULL, NULL, NULL, NULL, index, vacuumstate->procinfos, vacuumstate->collations, true);
|
||||
HnswLoadElement(entryPoint, NULL, NULL, index, vacuumstate->procinfo, vacuumstate->collation, true);
|
||||
|
||||
if (NeedsUpdated(vacuumstate, entryPoint))
|
||||
{
|
||||
@@ -372,7 +371,7 @@ RepairGraph(HnswVacuumState * vacuumstate)
|
||||
|
||||
/* Create an element */
|
||||
element = HnswInitElementFromBlock(blkno, offno);
|
||||
HnswLoadElementFromTuple(element, etup, false, true, index);
|
||||
HnswLoadElementFromTuple(element, etup, false, true);
|
||||
|
||||
elements = lappend(elements, element);
|
||||
}
|
||||
@@ -420,7 +419,7 @@ RepairGraph(HnswVacuumState * vacuumstate)
|
||||
* was replaced and highest point was outdated.
|
||||
*/
|
||||
if (entryPoint == NULL || element->level > entryPoint->level)
|
||||
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_GREATER, element, InvalidBlockNumber, MAIN_FORKNUM);
|
||||
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_GREATER, element, InvalidBlockNumber, MAIN_FORKNUM, false);
|
||||
|
||||
/* Release lock */
|
||||
UnlockPage(index, HNSW_UPDATE_LOCK, lockmode);
|
||||
@@ -442,7 +441,6 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
BlockNumber insertPage = InvalidBlockNumber;
|
||||
Relation index = vacuumstate->index;
|
||||
BufferAccessStrategy bas = vacuumstate->bas;
|
||||
bool useIndexTuple = IndexRelationGetNumberOfAttributes(index);
|
||||
|
||||
/*
|
||||
* Wait for index scans to complete. Scans before this point may contain
|
||||
@@ -531,18 +529,7 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
|
||||
/* Overwrite element */
|
||||
etup->deleted = 1;
|
||||
if (useIndexTuple)
|
||||
{
|
||||
IndexTuple itup = (IndexTuple) &etup->data;
|
||||
|
||||
MemSet(itup, 0, IndexTupleSize(itup));
|
||||
}
|
||||
else
|
||||
{
|
||||
Vector *vec = (Vector *) (&etup->data);
|
||||
|
||||
MemSet(vec, 0, VARSIZE_ANY(vec));
|
||||
}
|
||||
MemSet(&etup->data, 0, VARSIZE_ANY(&etup->data));
|
||||
|
||||
/* Overwrite neighbors */
|
||||
for (int i = 0; i < ntup->count; i++)
|
||||
@@ -577,7 +564,7 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
}
|
||||
|
||||
/* 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);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -587,7 +574,6 @@ static void
|
||||
InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkDeleteResult *stats, IndexBulkDeleteCallback callback, void *callback_state)
|
||||
{
|
||||
Relation index = info->index;
|
||||
HASHCTL hash_ctl;
|
||||
|
||||
if (stats == NULL)
|
||||
stats = (IndexBulkDeleteResult *) palloc0(sizeof(IndexBulkDeleteResult));
|
||||
@@ -598,8 +584,8 @@ InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkD
|
||||
vacuumstate->callback_state = callback_state;
|
||||
vacuumstate->efConstruction = HnswGetEfConstruction(index);
|
||||
vacuumstate->bas = GetAccessStrategy(BAS_BULKREAD);
|
||||
vacuumstate->procinfos = HnswInitProcinfos(index);
|
||||
vacuumstate->collations = index->rd_indcollation;
|
||||
vacuumstate->procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
||||
vacuumstate->collation = index->rd_indcollation[0];
|
||||
vacuumstate->ntup = palloc0(BLCKSZ);
|
||||
vacuumstate->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
|
||||
"Hnsw vacuum temporary context",
|
||||
@@ -609,10 +595,7 @@ InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkD
|
||||
HnswGetMetaPageInfo(index, &vacuumstate->m, NULL);
|
||||
|
||||
/* Create hash table */
|
||||
hash_ctl.keysize = sizeof(ItemPointerData);
|
||||
hash_ctl.entrysize = sizeof(ItemPointerData);
|
||||
hash_ctl.hcxt = CurrentMemoryContext;
|
||||
vacuumstate->deleted = hash_create("hnswbulkdelete indextids", 256, &hash_ctl, HASH_ELEM | HASH_BLOBS | HASH_CONTEXT);
|
||||
vacuumstate->deleted = tidhash_create(CurrentMemoryContext, 256, NULL);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -621,9 +604,8 @@ InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkD
|
||||
static void
|
||||
FreeVacuumState(HnswVacuumState * vacuumstate)
|
||||
{
|
||||
hash_destroy(vacuumstate->deleted);
|
||||
tidhash_destroy(vacuumstate->deleted);
|
||||
FreeAccessStrategy(vacuumstate->bas);
|
||||
pfree(vacuumstate->procinfos);
|
||||
pfree(vacuumstate->ntup);
|
||||
MemoryContextDelete(vacuumstate->tmpCtx);
|
||||
}
|
||||
|
||||
@@ -543,10 +543,10 @@ CreateListPages(Relation index, VectorArray centers, int dimensions,
|
||||
pfree(list);
|
||||
}
|
||||
|
||||
#ifdef IVFFLAT_KMEANS_DEBUG
|
||||
/*
|
||||
* Print k-means metrics
|
||||
*/
|
||||
#ifdef IVFFLAT_KMEANS_DEBUG
|
||||
static void
|
||||
PrintKmeansMetrics(IvfflatBuildState * buildstate)
|
||||
{
|
||||
|
||||
@@ -6,6 +6,10 @@
|
||||
#include "ivfflat.h"
|
||||
#include "miscadmin.h"
|
||||
|
||||
#ifdef IVFFLAT_MEMORY
|
||||
#include "utils/memutils.h"
|
||||
#endif
|
||||
|
||||
/*
|
||||
* 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.
|
||||
*
|
||||
@@ -231,6 +252,10 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
vec->dim = dimensions;
|
||||
}
|
||||
|
||||
#ifdef IVFFLAT_MEMORY
|
||||
ShowMemoryUsage(totalSize);
|
||||
#endif
|
||||
|
||||
/* Pick initial centers */
|
||||
InitCenters(index, samples, centers, lowerBound);
|
||||
|
||||
|
||||
37
src/vector.c
37
src/vector.c
@@ -177,14 +177,15 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_in);
|
||||
Datum
|
||||
vector_in(PG_FUNCTION_ARGS)
|
||||
{
|
||||
char *str = PG_GETARG_CSTRING(0);
|
||||
char *lit = PG_GETARG_CSTRING(0);
|
||||
int32 typmod = PG_GETARG_INT32(2);
|
||||
float x[VECTOR_MAX_DIM];
|
||||
int dim = 0;
|
||||
char *pt;
|
||||
char *stringEnd;
|
||||
Vector *result;
|
||||
char *lit = pstrdup(str);
|
||||
char *litcopy = pstrdup(lit);
|
||||
char *str = litcopy;
|
||||
|
||||
while (vector_isspace(*str))
|
||||
str++;
|
||||
@@ -268,7 +269,7 @@ vector_in(PG_FUNCTION_ARGS)
|
||||
(errcode(ERRCODE_DATA_EXCEPTION),
|
||||
errmsg("vector must have at least 1 dimension")));
|
||||
|
||||
pfree(lit);
|
||||
pfree(litcopy);
|
||||
|
||||
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);
|
||||
Datum
|
||||
@@ -903,8 +904,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_lt);
|
||||
Datum
|
||||
vector_lt(PG_FUNCTION_ARGS)
|
||||
{
|
||||
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1);
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||
|
||||
PG_RETURN_BOOL(vector_cmp_internal(a, b) < 0);
|
||||
}
|
||||
@@ -916,8 +917,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_le);
|
||||
Datum
|
||||
vector_le(PG_FUNCTION_ARGS)
|
||||
{
|
||||
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1);
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||
|
||||
PG_RETURN_BOOL(vector_cmp_internal(a, b) <= 0);
|
||||
}
|
||||
@@ -929,8 +930,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_eq);
|
||||
Datum
|
||||
vector_eq(PG_FUNCTION_ARGS)
|
||||
{
|
||||
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1);
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||
|
||||
PG_RETURN_BOOL(vector_cmp_internal(a, b) == 0);
|
||||
}
|
||||
@@ -942,8 +943,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_ne);
|
||||
Datum
|
||||
vector_ne(PG_FUNCTION_ARGS)
|
||||
{
|
||||
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1);
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||
|
||||
PG_RETURN_BOOL(vector_cmp_internal(a, b) != 0);
|
||||
}
|
||||
@@ -955,8 +956,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_ge);
|
||||
Datum
|
||||
vector_ge(PG_FUNCTION_ARGS)
|
||||
{
|
||||
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1);
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||
|
||||
PG_RETURN_BOOL(vector_cmp_internal(a, b) >= 0);
|
||||
}
|
||||
@@ -968,8 +969,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_gt);
|
||||
Datum
|
||||
vector_gt(PG_FUNCTION_ARGS)
|
||||
{
|
||||
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1);
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||
|
||||
PG_RETURN_BOOL(vector_cmp_internal(a, b) > 0);
|
||||
}
|
||||
@@ -981,8 +982,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_cmp);
|
||||
Datum
|
||||
vector_cmp(PG_FUNCTION_ARGS)
|
||||
{
|
||||
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1);
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||
|
||||
PG_RETURN_INT32(vector_cmp_internal(a, b));
|
||||
}
|
||||
|
||||
@@ -83,11 +83,32 @@ for my $i (0 .. $#operators)
|
||||
push(@expected, $res);
|
||||
}
|
||||
|
||||
# Add index
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING hnsw (v $opclass);");
|
||||
# Build index serially
|
||||
$node->safe_psql("postgres", qq(
|
||||
SET max_parallel_maintenance_workers = 0;
|
||||
CREATE INDEX idx ON tst USING hnsw (v $opclass);
|
||||
));
|
||||
|
||||
# Test approximate results
|
||||
my $min = $operator eq "<#>" ? 0.80 : 0.99;
|
||||
test_recall($min, $operator);
|
||||
|
||||
$node->safe_psql("postgres", "DROP INDEX idx;");
|
||||
|
||||
# Build index in parallel
|
||||
my ($ret, $stdout, $stderr) = $node->psql("postgres", qq(
|
||||
SET client_min_messages = DEBUG;
|
||||
SET min_parallel_table_scan_size = 1;
|
||||
SET hnsw.enable_parallel_build = on;
|
||||
CREATE INDEX idx ON tst USING hnsw (v $opclass);
|
||||
));
|
||||
is($ret, 0, $stderr);
|
||||
like($stderr, qr/using \d+ parallel workers/);
|
||||
|
||||
# Test approximate results
|
||||
test_recall($min, $operator);
|
||||
|
||||
$node->safe_psql("postgres", "DROP INDEX idx;");
|
||||
}
|
||||
|
||||
done_testing();
|
||||
|
||||
79
test/t/018_hnsw_filtering.pl
Normal file
79
test/t/018_hnsw_filtering.pl
Normal file
@@ -0,0 +1,79 @@
|
||||
use strict;
|
||||
use warnings;
|
||||
use PostgresNode;
|
||||
use TestLib;
|
||||
use Test::More;
|
||||
|
||||
my $dim = 3;
|
||||
my $nc = 50;
|
||||
my $limit = 20;
|
||||
|
||||
my $array_sql = join(",", ('random()') x $dim);
|
||||
|
||||
# Initialize node
|
||||
my $node = get_new_node('node');
|
||||
$node->init;
|
||||
$node->start;
|
||||
|
||||
# Create table and index
|
||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector($dim), c int4);");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[$array_sql], i % $nc FROM generate_series(1, 10000) i;"
|
||||
);
|
||||
$node->safe_psql("postgres", "CREATE INDEX idx ON tst USING hnsw (v vector_l2_ops);");
|
||||
|
||||
# Generate query
|
||||
my @r = ();
|
||||
for (1 .. $dim)
|
||||
{
|
||||
push(@r, rand());
|
||||
}
|
||||
my $query = "[" . join(",", @r) . "]";
|
||||
my $c = int(rand() * $nc);
|
||||
|
||||
# Test attribute filtering
|
||||
my $explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = $c ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
|
||||
# Test attribute filtering with few rows removed
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c != $c ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test distance filtering
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE v <-> '$query' < 1 ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test distance filtering without order
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE v <-> '$query' < 1;
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
|
||||
# Test distance filtering without limit
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE v <-> '$query' < 1 ORDER BY v <-> '$query';
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
|
||||
# Test attribute index
|
||||
$node->safe_psql("postgres", "CREATE INDEX attribute_idx ON tst (c);");
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = $c ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Bitmap Index Scan on attribute_idx/);
|
||||
|
||||
# Test partial index
|
||||
$node->safe_psql("postgres", "CREATE INDEX partial_idx ON tst USING hnsw (v vector_l2_ops) WHERE (c = $c);");
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = $c ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using partial_idx/);
|
||||
|
||||
done_testing();
|
||||
@@ -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();
|
||||
@@ -1,107 +0,0 @@
|
||||
use strict;
|
||||
use warnings;
|
||||
use PostgresNode;
|
||||
use TestLib;
|
||||
use Test::More;
|
||||
|
||||
my $node;
|
||||
my @queries = ();
|
||||
my @cs = ();
|
||||
my @expected;
|
||||
my $limit = 20;
|
||||
my $dim = 3;
|
||||
my $array_sql = join(",", ('random()') x $dim);
|
||||
my $nc = 50;
|
||||
|
||||
sub test_recall
|
||||
{
|
||||
my ($min, $operator) = @_;
|
||||
my $correct = 0;
|
||||
my $total = 0;
|
||||
|
||||
my $explain = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = $cs[0] ORDER BY v $operator '$queries[0]' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Cond/);
|
||||
|
||||
for my $i (0 .. $#queries)
|
||||
{
|
||||
my $actual = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SELECT i FROM tst WHERE c = $cs[$i] ORDER BY v $operator '$queries[$i]' LIMIT $limit;
|
||||
));
|
||||
my @actual_ids = split("\n", $actual);
|
||||
my %actual_set = map { $_ => 1 } @actual_ids;
|
||||
|
||||
my @expected_ids = split("\n", $expected[$i]);
|
||||
|
||||
foreach (@expected_ids)
|
||||
{
|
||||
if (exists($actual_set{$_}))
|
||||
{
|
||||
$correct++;
|
||||
}
|
||||
$total++;
|
||||
}
|
||||
}
|
||||
|
||||
cmp_ok($correct / $total, ">=", $min, $operator);
|
||||
}
|
||||
|
||||
# Initialize node
|
||||
$node = get_new_node('node');
|
||||
$node->init;
|
||||
$node->start;
|
||||
|
||||
# Create table
|
||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector($dim), c int8);");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[$array_sql], i % $nc FROM generate_series(1, 20000) i;"
|
||||
);
|
||||
|
||||
# Generate queries
|
||||
for (1 .. 20)
|
||||
{
|
||||
my @r = ();
|
||||
for (1 .. $dim)
|
||||
{
|
||||
push(@r, rand());
|
||||
}
|
||||
push(@queries, "[" . join(",", @r) . "]");
|
||||
push(@cs, int(rand() * $nc));
|
||||
}
|
||||
|
||||
# Get exact results
|
||||
@expected = ();
|
||||
for my $i (0 .. $#queries)
|
||||
{
|
||||
my $res = $node->safe_psql("postgres", "SELECT i FROM tst WHERE c = $cs[$i] ORDER BY v <-> '$queries[$i]' LIMIT $limit;");
|
||||
push(@expected, $res);
|
||||
}
|
||||
|
||||
# Add index
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING hnsw (v vector_l2_ops, c);");
|
||||
|
||||
# Test recall
|
||||
test_recall(0.99, '<->');
|
||||
|
||||
# Test vacuum
|
||||
$node->safe_psql("postgres", "DELETE FROM tst WHERE c > 5;");
|
||||
$node->safe_psql("postgres", "VACUUM tst;");
|
||||
|
||||
# Test columns
|
||||
my ($ret, $stdout, $stderr) = $node->psql("postgres", "CREATE INDEX ON tst USING hnsw (c);");
|
||||
like($stderr, qr/first column must be a vector/);
|
||||
|
||||
($ret, $stdout, $stderr) = $node->psql("postgres", "CREATE INDEX ON tst USING hnsw (c, v vector_l2_ops);");
|
||||
like($stderr, qr/first column must be a vector/);
|
||||
|
||||
($ret, $stdout, $stderr) = $node->psql("postgres", "CREATE INDEX ON tst USING hnsw (v vector_l2_ops, c, c);");
|
||||
like($stderr, qr/index cannot have more than two columns/);
|
||||
|
||||
($ret, $stdout, $stderr) = $node->psql("postgres", "CREATE INDEX ON tst USING hnsw (v vector_l2_ops, v vector_l2_ops);");
|
||||
like($stderr, qr/column 2 cannot be a vector/);
|
||||
|
||||
done_testing();
|
||||
Reference in New Issue
Block a user