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1
.github/workflows/build.yml
vendored
1
.github/workflows/build.yml
vendored
@@ -78,6 +78,7 @@ jobs:
|
||||
nmake /NOLOGO /F Makefile.win uninstall
|
||||
shell: cmd
|
||||
i386:
|
||||
if: ${{ !startsWith(github.ref_name, 'mac') && !startsWith(github.ref_name, 'windows') }}
|
||||
runs-on: ubuntu-latest
|
||||
container:
|
||||
image: debian:11
|
||||
|
||||
12
CHANGELOG.md
12
CHANGELOG.md
@@ -1,14 +1,18 @@
|
||||
## 0.5.0 (unreleased)
|
||||
## 0.5.1 (unreleased)
|
||||
|
||||
- Improved performance of index scans for IVFFlat after updates and deletes
|
||||
- Fixed locking for index scans for HNSW
|
||||
|
||||
## 0.5.0 (2023-08-28)
|
||||
|
||||
- Added HNSW index type
|
||||
- Added support for parallel index builds
|
||||
- Added support for parallel index builds for IVFFlat
|
||||
- Added `l1_distance` function
|
||||
- Added `normalize_l2` function
|
||||
- Added element-wise multiplication for vectors
|
||||
- Added `sum` aggregate
|
||||
- Improved performance of distance functions
|
||||
- Fixed out of range results for cosine distance
|
||||
- Fixed results for NULL and NaN distances
|
||||
- Fixed results for NULL and NaN distances for IVFFlat
|
||||
|
||||
## 0.4.4 (2023-06-12)
|
||||
|
||||
|
||||
@@ -2,7 +2,7 @@
|
||||
"name": "vector",
|
||||
"abstract": "Open-source vector similarity search for Postgres",
|
||||
"description": "Supports L2 distance, inner product, and cosine distance",
|
||||
"version": "0.4.4",
|
||||
"version": "0.5.0",
|
||||
"maintainer": [
|
||||
"Andrew Kane <andrew@ankane.org>"
|
||||
],
|
||||
@@ -20,7 +20,7 @@
|
||||
"vector": {
|
||||
"file": "sql/vector.sql",
|
||||
"docfile": "README.md",
|
||||
"version": "0.4.4",
|
||||
"version": "0.5.0",
|
||||
"abstract": "Open-source vector similarity search for Postgres"
|
||||
}
|
||||
},
|
||||
|
||||
7
Makefile
7
Makefile
@@ -1,13 +1,14 @@
|
||||
EXTENSION = vector
|
||||
EXTVERSION = 0.4.4
|
||||
EXTVERSION = 0.5.0
|
||||
|
||||
MODULE_big = vector
|
||||
DATA = $(wildcard sql/*--*.sql)
|
||||
OBJS = src/hnsw.o src/hnswbuild.o src/hnswinsert.o src/hnswscan.o src/hnswutils.o src/hnswvacuum.o src/ivfbuild.o src/ivfflat.o src/ivfinsert.o src/ivfkmeans.o src/ivfscan.o src/ivfutils.o src/ivfvacuum.o src/vector.o
|
||||
OBJS = src/float4.o src/hnsw.o src/hnswbuild.o src/hnswinsert.o src/hnswscan.o src/hnswutils.o src/hnswvacuum.o src/ivfbuild.o src/ivfflat.o src/ivfinsert.o src/ivfkmeans.o src/ivfscan.o src/ivfutils.o src/ivfvacuum.o src/vector.o
|
||||
HEADERS = src/vector.h
|
||||
|
||||
TESTS = $(wildcard test/sql/*.sql)
|
||||
REGRESS = $(patsubst test/sql/%.sql,%,$(TESTS))
|
||||
REGRESS_OPTS = --inputdir=test --load-extension=vector
|
||||
REGRESS_OPTS = --inputdir=test --load-extension=$(EXTENSION)
|
||||
|
||||
OPTFLAGS = -march=native
|
||||
|
||||
|
||||
13
Makefile.win
13
Makefile.win
@@ -1,10 +1,11 @@
|
||||
EXTENSION = vector
|
||||
EXTVERSION = 0.4.4
|
||||
EXTVERSION = 0.5.0
|
||||
|
||||
OBJS = src\hnsw.obj src\hnswbuild.obj src\hnswinsert.obj src\hnswscan.obj src\hnswutils.obj src\hnswvacuum.obj src\ivfbuild.obj src\ivfflat.obj src\ivfinsert.obj src\ivfkmeans.obj src\ivfscan.obj src\ivfutils.obj src\ivfvacuum.obj src\vector.obj
|
||||
OBJS = src\float4.obj src\hnsw.obj src\hnswbuild.obj src\hnswinsert.obj src\hnswscan.obj src\hnswutils.obj src\hnswvacuum.obj src\ivfbuild.obj src\ivfflat.obj src\ivfinsert.obj src\ivfkmeans.obj src\ivfscan.obj src\ivfutils.obj src\ivfvacuum.obj src\vector.obj
|
||||
HEADERS = src\vector.h
|
||||
|
||||
REGRESS = btree cast copy functions input ivfflat_cosine ivfflat_ip ivfflat_l2 ivfflat_options ivfflat_unlogged
|
||||
REGRESS_OPTS = --inputdir=test --load-extension=vector
|
||||
REGRESS_OPTS = --inputdir=test --load-extension=$(EXTENSION)
|
||||
|
||||
# For /arch flags
|
||||
# https://learn.microsoft.com/en-us/cpp/build/reference/arch-minimum-cpu-architecture
|
||||
@@ -54,6 +55,8 @@ install:
|
||||
copy $(SHLIB) "$(PKGLIBDIR)"
|
||||
copy $(EXTENSION).control "$(SHAREDIR)\extension"
|
||||
copy sql\$(EXTENSION)--*.sql "$(SHAREDIR)\extension"
|
||||
mkdir "$(INCLUDEDIR_SERVER)\extension\$(EXTENSION)"
|
||||
copy $(HEADERS) "$(INCLUDEDIR_SERVER)\extension\$(EXTENSION)"
|
||||
|
||||
installcheck:
|
||||
"$(BINDIR)\pg_regress" --bindir="$(BINDIR)" $(REGRESS_OPTS) $(REGRESS)
|
||||
@@ -61,7 +64,9 @@ installcheck:
|
||||
uninstall:
|
||||
del /f "$(PKGLIBDIR)\$(SHLIB)"
|
||||
del /f "$(SHAREDIR)\extension\$(EXTENSION).control"
|
||||
del /f "$(SHAREDIR)\extension\vector--*.sql"
|
||||
del /f "$(SHAREDIR)\extension\$(EXTENSION)--*.sql"
|
||||
del /f "$(INCLUDEDIR_SERVER)\extension\$(EXTENSION)\*.h"
|
||||
rmdir "$(INCLUDEDIR_SERVER)\extension\$(EXTENSION)"
|
||||
|
||||
clean:
|
||||
del /f $(SHLIB) $(EXTENSION).lib $(EXTENSION).exp
|
||||
|
||||
135
README.md
135
README.md
@@ -2,7 +2,7 @@
|
||||
|
||||
Open-source vector similarity search for Postgres
|
||||
|
||||
Store all of your application data in one place. Supports:
|
||||
Store your vectors with the rest of your data. Supports:
|
||||
|
||||
- exact and approximate nearest neighbor search
|
||||
- L2 distance, inner product, and cosine distance
|
||||
@@ -18,7 +18,7 @@ Compile and install the extension (supports Postgres 11+)
|
||||
|
||||
```sh
|
||||
cd /tmp
|
||||
git clone --branch v0.4.4 https://github.com/pgvector/pgvector.git
|
||||
git clone --branch v0.5.0 https://github.com/pgvector/pgvector.git
|
||||
cd pgvector
|
||||
make
|
||||
make install # may need sudo
|
||||
@@ -157,7 +157,16 @@ SELECT category_id, AVG(embedding) FROM items GROUP BY category_id;
|
||||
|
||||
By default, pgvector performs exact nearest neighbor search, which provides perfect recall.
|
||||
|
||||
You can add an index to use approximate nearest neighbor search, which trades some recall for performance. Unlike typical indexes, you will see different results for queries after adding an approximate index.
|
||||
You can add an index to use approximate nearest neighbor search, which trades some recall for speed. Unlike typical indexes, you will see different results for queries after adding an approximate index.
|
||||
|
||||
Supported index types are:
|
||||
|
||||
- [IVFFlat](#ivfflat)
|
||||
- [HNSW](#hnsw) - added in 0.5.0
|
||||
|
||||
## IVFFlat
|
||||
|
||||
An IVFFlat index divides vectors into lists, and then searches a subset of those lists that are closest to the query vector. It has faster build times and uses less memory than HNSW, but has lower query performance (in terms of speed-recall tradeoff).
|
||||
|
||||
Three keys to achieving good recall are:
|
||||
|
||||
@@ -206,7 +215,63 @@ SELECT ...
|
||||
COMMIT;
|
||||
```
|
||||
|
||||
### Indexing Progress
|
||||
## 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+
|
||||
|
||||
@@ -217,8 +282,8 @@ SELECT phase, tuples_done, tuples_total FROM pg_stat_progress_create_index;
|
||||
The phases are:
|
||||
|
||||
1. `initializing`
|
||||
2. `performing k-means`
|
||||
3. `sorting tuples`
|
||||
2. `performing k-means` - IVFFlat only
|
||||
3. `assigning tuples` - IVFFlat only
|
||||
4. `loading tuples`
|
||||
|
||||
Note: `tuples_done` and `tuples_total` are only populated during the `loading tuples` phase
|
||||
@@ -283,7 +348,7 @@ SELECT * FROM items ORDER BY embedding <#> '[3,1,2]' LIMIT 5;
|
||||
|
||||
### Approximate Search
|
||||
|
||||
To speed up queries with an index, increase the number of inverted lists (at the expense of recall).
|
||||
To speed up queries with an IVFFlat index, increase the number of inverted lists (at the expense of recall).
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING ivfflat (embedding vector_l2_ops) WITH (lists = 1000);
|
||||
@@ -359,7 +424,7 @@ or choose to store vectors inline:
|
||||
ALTER TABLE items ALTER COLUMN embedding SET STORAGE PLAIN;
|
||||
```
|
||||
|
||||
#### Why are there less results for a query after adding an index?
|
||||
#### Why are there less results for a query after adding an IVFFlat index?
|
||||
|
||||
The index was likely created with too little data for the number of lists. Drop the index until the table has more data.
|
||||
|
||||
@@ -375,33 +440,32 @@ Each vector takes `4 * dimensions + 8` bytes of storage. Each element is a singl
|
||||
|
||||
### Vector Operators
|
||||
|
||||
Operator | Description
|
||||
--- | ---
|
||||
\+ | element-wise addition
|
||||
\- | element-wise subtraction
|
||||
\* | element-wise multiplication [unreleased]
|
||||
<-> | Euclidean distance
|
||||
<#> | negative inner product
|
||||
<=> | cosine distance
|
||||
Operator | Description | Added
|
||||
--- | --- | ---
|
||||
\+ | element-wise addition |
|
||||
\- | element-wise subtraction |
|
||||
\* | element-wise multiplication | 0.5.0
|
||||
<-> | Euclidean distance |
|
||||
<#> | negative inner product |
|
||||
<=> | cosine distance |
|
||||
|
||||
### Vector Functions
|
||||
|
||||
Function | Description
|
||||
--- | ---
|
||||
cosine_distance(vector, vector) → double precision | cosine distance
|
||||
inner_product(vector, vector) → double precision | inner product
|
||||
l2_distance(vector, vector) → double precision | Euclidean distance
|
||||
l1_distance(vector, vector) → double precision | taxicab distance [unreleased]
|
||||
normalize_l2(vector) → vector | normalize with Euclidean norm [unreleased]
|
||||
vector_dims(vector) → integer | number of dimensions
|
||||
vector_norm(vector) → double precision | Euclidean norm
|
||||
Function | Description | Added
|
||||
--- | --- | ---
|
||||
cosine_distance(vector, vector) → double precision | cosine distance |
|
||||
inner_product(vector, vector) → double precision | inner product |
|
||||
l2_distance(vector, vector) → double precision | Euclidean distance |
|
||||
l1_distance(vector, vector) → double precision | taxicab distance | 0.5.0
|
||||
vector_dims(vector) → integer | number of dimensions |
|
||||
vector_norm(vector) → double precision | Euclidean norm |
|
||||
|
||||
### Aggregate Functions
|
||||
|
||||
Function | Description
|
||||
--- | ---
|
||||
avg(vector) → vector | arithmetic mean
|
||||
sum(vector) → vector | sum [unreleased]
|
||||
Function | Description | Added
|
||||
--- | --- | ---
|
||||
avg(vector) → vector | average |
|
||||
sum(vector) → vector | sum | 0.5.0
|
||||
|
||||
## Installation Notes
|
||||
|
||||
@@ -445,7 +509,7 @@ Then use `nmake` to build:
|
||||
|
||||
```cmd
|
||||
set "PGROOT=C:\Program Files\PostgreSQL\15"
|
||||
git clone --branch v0.4.4 https://github.com/pgvector/pgvector.git
|
||||
git clone --branch v0.5.0 https://github.com/pgvector/pgvector.git
|
||||
cd pgvector
|
||||
nmake /F Makefile.win
|
||||
nmake /F Makefile.win install
|
||||
@@ -466,9 +530,8 @@ This adds pgvector to the [Postgres image](https://hub.docker.com/_/postgres) (r
|
||||
You can also build the image manually:
|
||||
|
||||
```sh
|
||||
git clone --branch v0.4.4 https://github.com/pgvector/pgvector.git
|
||||
git clone --branch v0.5.0 https://github.com/pgvector/pgvector.git
|
||||
cd pgvector
|
||||
git cherry-pick 237a6df
|
||||
docker build --build-arg PG_MAJOR=15 -t myuser/pgvector .
|
||||
```
|
||||
|
||||
@@ -532,12 +595,18 @@ pgvector is available on [these providers](https://github.com/pgvector/pgvector/
|
||||
|
||||
## Upgrading
|
||||
|
||||
Install the latest version and run:
|
||||
Install the latest version. Then in each database you want to upgrade, run:
|
||||
|
||||
```sql
|
||||
ALTER EXTENSION vector UPDATE;
|
||||
```
|
||||
|
||||
You can check the version in the current database with:
|
||||
|
||||
```sql
|
||||
SELECT extversion FROM pg_extension WHERE extname = 'vector';
|
||||
```
|
||||
|
||||
## Upgrade Notes
|
||||
|
||||
### 0.4.0
|
||||
|
||||
@@ -4,9 +4,6 @@
|
||||
CREATE FUNCTION l1_distance(vector, vector) RETURNS float8
|
||||
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||
|
||||
CREATE FUNCTION normalize_l2(vector) RETURNS vector
|
||||
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||
|
||||
CREATE FUNCTION vector_mul(vector, vector) RETURNS vector
|
||||
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||
|
||||
|
||||
@@ -34,6 +34,9 @@ CREATE TYPE vector (
|
||||
CREATE FUNCTION l2_distance(vector, vector) RETURNS float8
|
||||
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||
|
||||
CREATE FUNCTION l2_distance(float4[], float4[]) RETURNS float8
|
||||
AS 'MODULE_PATHNAME', 'float4_l2_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||
|
||||
CREATE FUNCTION inner_product(vector, vector) RETURNS float8
|
||||
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||
|
||||
@@ -49,9 +52,6 @@ CREATE FUNCTION vector_dims(vector) RETURNS integer
|
||||
CREATE FUNCTION vector_norm(vector) RETURNS float8
|
||||
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||
|
||||
CREATE FUNCTION normalize_l2(vector) RETURNS vector
|
||||
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||
|
||||
CREATE FUNCTION vector_add(vector, vector) RETURNS vector
|
||||
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||
|
||||
@@ -87,6 +87,9 @@ CREATE FUNCTION vector_cmp(vector, vector) RETURNS int4
|
||||
CREATE FUNCTION vector_l2_squared_distance(vector, vector) RETURNS float8
|
||||
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||
|
||||
CREATE FUNCTION float4_l2_squared_distance(float4[], float4[]) RETURNS float8
|
||||
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||
|
||||
CREATE FUNCTION vector_negative_inner_product(vector, vector) RETURNS float8
|
||||
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||
|
||||
@@ -167,6 +170,11 @@ CREATE OPERATOR <-> (
|
||||
COMMUTATOR = '<->'
|
||||
);
|
||||
|
||||
CREATE OPERATOR <-> (
|
||||
LEFTARG = float4[], RIGHTARG = float4[], PROCEDURE = l2_distance,
|
||||
COMMUTATOR = '<->'
|
||||
);
|
||||
|
||||
CREATE OPERATOR <#> (
|
||||
LEFTARG = vector, RIGHTARG = vector, PROCEDURE = vector_negative_inner_product,
|
||||
COMMUTATOR = '<#>'
|
||||
@@ -268,21 +276,26 @@ CREATE OPERATOR CLASS vector_ip_ops
|
||||
OPERATOR 1 <#> (vector, vector) FOR ORDER BY float_ops,
|
||||
FUNCTION 1 vector_negative_inner_product(vector, vector),
|
||||
FUNCTION 3 vector_spherical_distance(vector, vector),
|
||||
FUNCTION 6 normalize_l2(vector);
|
||||
FUNCTION 4 vector_norm(vector);
|
||||
|
||||
CREATE OPERATOR CLASS vector_cosine_ops
|
||||
FOR TYPE vector USING ivfflat AS
|
||||
OPERATOR 1 <=> (vector, vector) FOR ORDER BY float_ops,
|
||||
FUNCTION 1 vector_negative_inner_product(vector, vector),
|
||||
FUNCTION 2 vector_norm(vector),
|
||||
FUNCTION 3 vector_spherical_distance(vector, vector),
|
||||
FUNCTION 5 normalize_l2(vector),
|
||||
FUNCTION 6 normalize_l2(vector);
|
||||
FUNCTION 4 vector_norm(vector);
|
||||
|
||||
CREATE OPERATOR CLASS vector_l2_ops
|
||||
FOR TYPE vector USING hnsw AS
|
||||
OPERATOR 1 <-> (vector, vector) FOR ORDER BY float_ops,
|
||||
FUNCTION 1 vector_l2_squared_distance(vector, vector);
|
||||
|
||||
CREATE OPERATOR CLASS float4_l2_ops
|
||||
FOR TYPE float4[] USING hnsw AS
|
||||
OPERATOR 1 <-> (float4[], float4[]) FOR ORDER BY float_ops,
|
||||
FUNCTION 1 float4_l2_squared_distance(float4[], float4[]);
|
||||
|
||||
CREATE OPERATOR CLASS vector_ip_ops
|
||||
FOR TYPE vector USING hnsw AS
|
||||
OPERATOR 1 <#> (vector, vector) FOR ORDER BY float_ops,
|
||||
@@ -292,4 +305,4 @@ CREATE OPERATOR CLASS vector_cosine_ops
|
||||
FOR TYPE vector USING hnsw AS
|
||||
OPERATOR 1 <=> (vector, vector) FOR ORDER BY float_ops,
|
||||
FUNCTION 1 vector_negative_inner_product(vector, vector),
|
||||
FUNCTION 3 normalize_l2(vector);
|
||||
FUNCTION 2 vector_norm(vector);
|
||||
|
||||
60
src/float4.c
Normal file
60
src/float4.c
Normal file
@@ -0,0 +1,60 @@
|
||||
#include "postgres.h"
|
||||
|
||||
#include <math.h>
|
||||
|
||||
#include "utils/array.h"
|
||||
|
||||
/*
|
||||
* Get the L2 distance between vectors
|
||||
*/
|
||||
PGDLLEXPORT PG_FUNCTION_INFO_V1(float4_l2_distance);
|
||||
Datum
|
||||
float4_l2_distance(PG_FUNCTION_ARGS)
|
||||
{
|
||||
ArrayType *a = PG_GETARG_ARRAYTYPE_P(0);
|
||||
ArrayType *b = PG_GETARG_ARRAYTYPE_P(1);
|
||||
float *ax = (float *) ARR_DATA_PTR(a);
|
||||
float *bx = (float *) ARR_DATA_PTR(b);
|
||||
float distance = 0.0;
|
||||
float diff;
|
||||
|
||||
/* TODO Check rank, dimensions, and nulls */
|
||||
int dim = ARR_DIMS(a)[0];
|
||||
|
||||
/* Auto-vectorized */
|
||||
for (int i = 0; i < dim; i++)
|
||||
{
|
||||
diff = ax[i] - bx[i];
|
||||
distance += diff * diff;
|
||||
}
|
||||
|
||||
PG_RETURN_FLOAT8(sqrt((double) distance));
|
||||
}
|
||||
|
||||
/*
|
||||
* Get the L2 squared distance between vectors
|
||||
* This saves a sqrt calculation
|
||||
*/
|
||||
PGDLLEXPORT PG_FUNCTION_INFO_V1(float4_l2_squared_distance);
|
||||
Datum
|
||||
float4_l2_squared_distance(PG_FUNCTION_ARGS)
|
||||
{
|
||||
ArrayType *a = PG_GETARG_ARRAYTYPE_P(0);
|
||||
ArrayType *b = PG_GETARG_ARRAYTYPE_P(1);
|
||||
float *ax = (float *) ARR_DATA_PTR(a);
|
||||
float *bx = (float *) ARR_DATA_PTR(b);
|
||||
float distance = 0.0;
|
||||
float diff;
|
||||
|
||||
/* TODO Check rank, dimensions, and nulls */
|
||||
int dim = ARR_DIMS(a)[0];
|
||||
|
||||
/* Auto-vectorized */
|
||||
for (int i = 0; i < dim; i++)
|
||||
{
|
||||
diff = ax[i] - bx[i];
|
||||
distance += diff * diff;
|
||||
}
|
||||
|
||||
PG_RETURN_FLOAT8((double) distance);
|
||||
}
|
||||
15
src/hnsw.c
15
src/hnsw.c
@@ -33,11 +33,17 @@ HnswInit(void)
|
||||
HNSW_DEFAULT_EF_CONSTRUCTION, HNSW_MIN_EF_CONSTRUCTION, HNSW_MAX_EF_CONSTRUCTION
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
,AccessExclusiveLock
|
||||
#endif
|
||||
);
|
||||
add_int_reloption(hnsw_relopt_kind, "dimensions", "Number of dimensions",
|
||||
HNSW_DEFAULT_DIMENSIONS, HNSW_MIN_DIMENSIONS, HNSW_MAX_DIMENSIONS
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
,AccessExclusiveLock
|
||||
#endif
|
||||
);
|
||||
|
||||
DefineCustomIntVariable("hnsw.ef_search", "Sets the size of the dynamic candidate list for search",
|
||||
"Valid range is 10..1000.", &hnsw_ef_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);
|
||||
}
|
||||
|
||||
@@ -91,7 +97,7 @@ hnswcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
||||
MemSet(&costs, 0, sizeof(costs));
|
||||
|
||||
index = index_open(path->indexinfo->indexoid, NoLock);
|
||||
m = HnswGetM(index);
|
||||
HnswGetMetaPageInfo(index, &m, NULL);
|
||||
index_close(index, NoLock);
|
||||
|
||||
/* Approximate entry level */
|
||||
@@ -125,6 +131,7 @@ hnswoptions(Datum reloptions, bool validate)
|
||||
static const relopt_parse_elt tab[] = {
|
||||
{"m", RELOPT_TYPE_INT, offsetof(HnswOptions, m)},
|
||||
{"ef_construction", RELOPT_TYPE_INT, offsetof(HnswOptions, efConstruction)},
|
||||
{"dimensions", RELOPT_TYPE_INT, offsetof(HnswOptions, dimensions)},
|
||||
};
|
||||
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
@@ -167,7 +174,7 @@ 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
|
||||
@@ -196,7 +203,7 @@ hnswhandler(PG_FUNCTION_ARGS)
|
||||
amroutine->aminsert = hnswinsert;
|
||||
amroutine->ambulkdelete = hnswbulkdelete;
|
||||
amroutine->amvacuumcleanup = hnswvacuumcleanup;
|
||||
amroutine->amcanreturn = NULL; /* tuple not included in heapsort */
|
||||
amroutine->amcanreturn = NULL;
|
||||
amroutine->amcostestimate = hnswcostestimate;
|
||||
amroutine->amoptions = hnswoptions;
|
||||
amroutine->amproperty = NULL; /* TODO AMPROP_DISTANCE_ORDERABLE */
|
||||
|
||||
68
src/hnsw.h
68
src/hnsw.h
@@ -19,37 +19,48 @@
|
||||
/* Support functions */
|
||||
#define HNSW_DISTANCE_PROC 1
|
||||
#define HNSW_NORM_PROC 2
|
||||
#define HNSW_NORMALIZE_PROC 3
|
||||
|
||||
#define HNSW_VERSION 1
|
||||
#define HNSW_MAGIC_NUMBER 0xA953A953
|
||||
#define HNSW_PAGE_ID 0xFF85
|
||||
#define HNSW_PAGE_ID 0xFF90
|
||||
|
||||
/* Preserved page numbers */
|
||||
#define HNSW_METAPAGE_BLKNO 0
|
||||
#define HNSW_HEAD_BLKNO 1 /* first element page */
|
||||
|
||||
/* Must correspond to page numbers since page lock is used */
|
||||
#define HNSW_UPDATE_LOCK 0
|
||||
#define HNSW_SCAN_LOCK 1
|
||||
|
||||
/* HNSW parameters */
|
||||
#define HNSW_DEFAULT_M 16
|
||||
#define HNSW_MIN_M 4
|
||||
#define HNSW_MIN_M 2
|
||||
#define HNSW_MAX_M 100
|
||||
#define HNSW_DEFAULT_EF_CONSTRUCTION 40
|
||||
#define HNSW_MIN_EF_CONSTRUCTION 10
|
||||
#define HNSW_DEFAULT_EF_CONSTRUCTION 64
|
||||
#define HNSW_MIN_EF_CONSTRUCTION 4
|
||||
#define HNSW_MAX_EF_CONSTRUCTION 1000
|
||||
#define HNSW_DEFAULT_EF_SEARCH 40
|
||||
#define HNSW_MIN_EF_SEARCH 10
|
||||
#define HNSW_MIN_EF_SEARCH 1
|
||||
#define HNSW_MAX_EF_SEARCH 1000
|
||||
#define HNSW_DEFAULT_DIMENSIONS -1
|
||||
#define HNSW_MIN_DIMENSIONS 1
|
||||
#define HNSW_MAX_DIMENSIONS HNSW_MAX_DIM
|
||||
|
||||
/* Tuple types */
|
||||
#define HNSW_ELEMENT_TUPLE_TYPE 1
|
||||
#define HNSW_NEIGHBOR_TUPLE_TYPE 2
|
||||
|
||||
/* Make graph robust against non-HOT updates */
|
||||
#define HNSW_HEAPTIDS 10
|
||||
|
||||
#define HNSW_UPDATE_ENTRY_GREATER 1
|
||||
#define HNSW_UPDATE_ENTRY_ALWAYS 2
|
||||
|
||||
/* Build phases */
|
||||
/* PROGRESS_CREATEIDX_SUBPHASE_INITIALIZE is 1 */
|
||||
#define PROGRESS_HNSW_PHASE_LOAD 2
|
||||
|
||||
#define HNSW_ELEMENT_TUPLE_SIZE(_dim) MAXALIGN(offsetof(HnswElementTupleData, vec) + VECTOR_SIZE(_dim))
|
||||
#define HNSW_ELEMENT_TUPLE_SIZE(_datum) MAXALIGN(offsetof(HnswElementTupleData, value) + VARSIZE_ANY(_datum))
|
||||
#define HNSW_NEIGHBOR_TUPLE_SIZE(level, m) MAXALIGN(offsetof(HnswNeighborTupleData, indextids) + ((level) + 2) * (m) * sizeof(ItemPointerData))
|
||||
|
||||
#define HnswPageGetOpaque(page) ((HnswPageOpaque) PageGetSpecialPointer(page))
|
||||
@@ -69,10 +80,13 @@
|
||||
#define HnswIsElementTuple(tup) ((tup)->type == HNSW_ELEMENT_TUPLE_TYPE)
|
||||
#define HnswIsNeighborTuple(tup) ((tup)->type == HNSW_NEIGHBOR_TUPLE_TYPE)
|
||||
|
||||
#define HnswGetLayerM(m, layer) (layer == 0 ? m * 2 : m)
|
||||
/* 2 * M connections for ground layer */
|
||||
#define HnswGetLayerM(m, layer) (layer == 0 ? (m) * 2 : (m))
|
||||
|
||||
/* Optimal ML from paper */
|
||||
#define HnswGetMl(m) (1 / log(m))
|
||||
|
||||
/* Ensure fits in uint8 */
|
||||
/* Ensure fits on page and in uint8 */
|
||||
#define HnswGetMaxLevel(m) Min(((BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(HnswPageOpaqueData)) - offsetof(HnswNeighborTupleData, indextids) - sizeof(ItemIdData)) / (sizeof(ItemPointerData)) / m) - 2, 255)
|
||||
|
||||
/* Variables */
|
||||
@@ -85,12 +99,13 @@ typedef struct HnswElementData
|
||||
List *heaptids;
|
||||
uint8 level;
|
||||
uint8 deleted;
|
||||
bool loaded;
|
||||
HnswNeighborArray *neighbors;
|
||||
BlockNumber blkno;
|
||||
OffsetNumber offno;
|
||||
OffsetNumber neighborOffno;
|
||||
BlockNumber neighborPage;
|
||||
Vector *vec;
|
||||
Datum value;
|
||||
} HnswElementData;
|
||||
|
||||
typedef HnswElementData * HnswElement;
|
||||
@@ -107,13 +122,6 @@ typedef struct HnswNeighborArray
|
||||
HnswCandidate *items;
|
||||
} HnswNeighborArray;
|
||||
|
||||
typedef struct HnswUpdate
|
||||
{
|
||||
HnswCandidate hc;
|
||||
int level;
|
||||
int index;
|
||||
} HnswUpdate;
|
||||
|
||||
typedef struct HnswPairingHeapNode
|
||||
{
|
||||
pairingheap_node ph_node;
|
||||
@@ -126,6 +134,7 @@ typedef struct HnswOptions
|
||||
int32 vl_len_; /* varlena header (do not touch directly!) */
|
||||
int m; /* number of connections */
|
||||
int efConstruction; /* size of dynamic candidate list */
|
||||
int dimensions;
|
||||
} HnswOptions;
|
||||
|
||||
typedef struct HnswBuildState
|
||||
@@ -148,7 +157,6 @@ typedef struct HnswBuildState
|
||||
/* Support functions */
|
||||
FmgrInfo *procinfo;
|
||||
FmgrInfo *normprocinfo;
|
||||
FmgrInfo *normalizeprocinfo;
|
||||
Oid collation;
|
||||
|
||||
/* Variables */
|
||||
@@ -197,7 +205,7 @@ typedef struct HnswElementTupleData
|
||||
ItemPointerData heaptids[HNSW_HEAPTIDS];
|
||||
ItemPointerData neighbortid;
|
||||
uint16 unused2;
|
||||
Vector vec;
|
||||
char value[FLEXIBLE_ARRAY_MEMBER];
|
||||
} HnswElementTupleData;
|
||||
|
||||
typedef HnswElementTupleData * HnswElementTuple;
|
||||
@@ -215,14 +223,12 @@ typedef HnswNeighborTupleData * HnswNeighborTuple;
|
||||
typedef struct HnswScanOpaqueData
|
||||
{
|
||||
bool first;
|
||||
Buffer buf;
|
||||
List *w;
|
||||
MemoryContext tmpCtx;
|
||||
|
||||
/* Support functions */
|
||||
FmgrInfo *procinfo;
|
||||
FmgrInfo *normprocinfo;
|
||||
FmgrInfo *normalizeprocinfo;
|
||||
Oid collation;
|
||||
} HnswScanOpaqueData;
|
||||
|
||||
@@ -257,26 +263,34 @@ typedef struct HnswVacuumState
|
||||
/* Methods */
|
||||
int HnswGetM(Relation index);
|
||||
int HnswGetEfConstruction(Relation index);
|
||||
FmgrInfo *HnswOptionalProcInfo(Relation rel, uint16 procnum);
|
||||
void HnswNormValue(FmgrInfo *procinfo, FmgrInfo *normalizeprocinfo, Oid collation, Datum *value, Vector * result);
|
||||
int HnswGetDimensions(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, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, bool inserting, BlockNumber *skipPage, OffsetNumber *skipOffno);
|
||||
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 HnswInsertElement(HnswElement element, HnswElement entryPoint, Relation index, FmgrInfo *procinfo, Oid collation, int m, int efConstruction, List **updates, bool vacuuming);
|
||||
HnswCandidate *HnswEntryCandidate(HnswElement em, Datum q, Relation rel, FmgrInfo *procinfo, Oid collation, bool loadvec);
|
||||
void HnswUpdateMetaPage(Relation index, bool updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum);
|
||||
HnswElement HnswInitElementFromBlock(BlockNumber blkno, OffsetNumber offno);
|
||||
void HnswInsertElement(HnswElement element, HnswElement entryPoint, Relation index, FmgrInfo *procinfo, Oid collation, int m, int efConstruction, bool existing);
|
||||
HnswElement HnswFindDuplicate(HnswElement e);
|
||||
HnswCandidate *HnswEntryCandidate(HnswElement em, Datum q, Relation rel, FmgrInfo *procinfo, Oid collation, bool loadVec);
|
||||
void HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum);
|
||||
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 *procinfo, Oid collation, HnswElement e, int m, bool checkExisting);
|
||||
void HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHeaptids, bool loadVec);
|
||||
void HnswLoadElement(HnswElement element, float *distance, Datum *q, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec);
|
||||
void HnswSetElementTuple(HnswElementTuple etup, HnswElement element);
|
||||
void HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int *updateIdx, Relation index, FmgrInfo *procinfo, Oid collation);
|
||||
void HnswLoadNeighbors(HnswElement element, Relation index, int m);
|
||||
|
||||
/* Index access methods */
|
||||
IndexBuildResult *hnswbuild(Relation heap, Relation index, IndexInfo *indexInfo);
|
||||
|
||||
@@ -8,6 +8,7 @@
|
||||
#include "lib/pairingheap.h"
|
||||
#include "nodes/pg_list.h"
|
||||
#include "storage/bufmgr.h"
|
||||
#include "utils/datum.h"
|
||||
#include "utils/memutils.h"
|
||||
|
||||
#if PG_VERSION_NUM >= 140000
|
||||
@@ -60,6 +61,7 @@ CreateMetaPage(HnswBuildState * buildstate)
|
||||
metap->efConstruction = buildstate->efConstruction;
|
||||
metap->entryBlkno = InvalidBlockNumber;
|
||||
metap->entryOffno = InvalidOffsetNumber;
|
||||
metap->entryLevel = -1;
|
||||
metap->insertPage = InvalidBlockNumber;
|
||||
((PageHeader) page)->pd_lower =
|
||||
((char *) metap + sizeof(HnswMetaPageData)) - (char *) page;
|
||||
@@ -105,8 +107,6 @@ CreateElementPages(HnswBuildState * buildstate)
|
||||
{
|
||||
Relation index = buildstate->index;
|
||||
ForkNumber forkNum = buildstate->forkNum;
|
||||
int dimensions = buildstate->dimensions;
|
||||
Size etupSize;
|
||||
Size maxSize;
|
||||
HnswElementTuple etup;
|
||||
HnswNeighborTuple ntup;
|
||||
@@ -118,10 +118,9 @@ CreateElementPages(HnswBuildState * buildstate)
|
||||
|
||||
/* Calculate sizes */
|
||||
maxSize = BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(HnswPageOpaqueData));
|
||||
etupSize = HNSW_ELEMENT_TUPLE_SIZE(dimensions);
|
||||
|
||||
/* Allocate once */
|
||||
etup = palloc0(etupSize);
|
||||
etup = palloc0(maxSize);
|
||||
ntup = palloc0(maxSize);
|
||||
|
||||
/* Prepare first page */
|
||||
@@ -133,12 +132,14 @@ CreateElementPages(HnswBuildState * buildstate)
|
||||
foreach(lc, buildstate->elements)
|
||||
{
|
||||
HnswElement element = lfirst(lc);
|
||||
Size etupSize;
|
||||
Size ntupSize;
|
||||
Size combinedSize;
|
||||
|
||||
HnswSetElementTuple(etup, element);
|
||||
|
||||
/* Calculate sizes */
|
||||
etupSize = HNSW_ELEMENT_TUPLE_SIZE(element->value);
|
||||
ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(element->level, buildstate->m);
|
||||
combinedSize = etupSize + ntupSize + sizeof(ItemIdData);
|
||||
|
||||
@@ -182,7 +183,7 @@ CreateElementPages(HnswBuildState * buildstate)
|
||||
GenericXLogFinish(state);
|
||||
UnlockReleaseBuffer(buf);
|
||||
|
||||
HnswUpdateMetaPage(index, true, buildstate->entryPoint, insertPage, forkNum);
|
||||
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_ALWAYS, buildstate->entryPoint, insertPage, forkNum);
|
||||
|
||||
pfree(etup);
|
||||
pfree(ntup);
|
||||
@@ -275,16 +276,33 @@ InsertTuple(Relation index, Datum *values, HnswElement element, HnswBuildState *
|
||||
int m = buildstate->m;
|
||||
|
||||
/* Detoast once for all calls */
|
||||
Datum value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
|
||||
element->value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
|
||||
|
||||
/* Normalize if needed */
|
||||
HnswNormValue(buildstate->normprocinfo, buildstate->normalizeprocinfo, collation, &value, buildstate->normvec);
|
||||
|
||||
/* Copy value to element so accessible outside of memory context */
|
||||
memcpy(element->vec, DatumGetVector(value), VECTOR_SIZE(buildstate->dimensions));
|
||||
if (buildstate->normprocinfo != NULL)
|
||||
{
|
||||
if (!HnswNormValue(buildstate->normprocinfo, collation, &element->value, buildstate->normvec))
|
||||
return false;
|
||||
}
|
||||
|
||||
/* Insert element in graph */
|
||||
*dup = HnswInsertElement(element, entryPoint, NULL, procinfo, collation, m, efConstruction, NULL, false);
|
||||
HnswInsertElement(element, entryPoint, NULL, procinfo, collation, m, efConstruction, false);
|
||||
|
||||
/* Look for duplicate */
|
||||
*dup = HnswFindDuplicate(element);
|
||||
|
||||
/* Update neighbors if needed */
|
||||
if (*dup == NULL)
|
||||
{
|
||||
for (int lc = element->level; lc >= 0; lc--)
|
||||
{
|
||||
int lm = HnswGetLayerM(m, lc);
|
||||
HnswNeighborArray *neighbors = &element->neighbors[lc];
|
||||
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
HnswUpdateConnection(element, &neighbors->items[i], lm, lc, NULL, NULL, procinfo, collation);
|
||||
}
|
||||
}
|
||||
|
||||
/* Update entry point if needed */
|
||||
if (*dup == NULL && (entryPoint == NULL || element->level > entryPoint->level))
|
||||
@@ -342,7 +360,6 @@ BuildCallback(Relation index, CALLBACK_ITEM_POINTER, Datum *values,
|
||||
|
||||
/* Allocate necessary memory outside of memory context */
|
||||
element = HnswInitElement(tid, buildstate->m, buildstate->ml, buildstate->maxLevel);
|
||||
element->vec = palloc(VECTOR_SIZE(buildstate->dimensions));
|
||||
|
||||
/* Use memory context since detoast can allocate */
|
||||
oldCtx = MemoryContextSwitchTo(buildstate->tmpCtx);
|
||||
@@ -350,9 +367,8 @@ BuildCallback(Relation index, CALLBACK_ITEM_POINTER, Datum *values,
|
||||
/* Insert tuple */
|
||||
inserted = InsertTuple(index, values, element, buildstate, &dup);
|
||||
|
||||
/* Reset memory context */
|
||||
/* Switch memory context */
|
||||
MemoryContextSwitchTo(oldCtx);
|
||||
MemoryContextReset(buildstate->tmpCtx);
|
||||
|
||||
/* Add outside memory context */
|
||||
if (dup != NULL)
|
||||
@@ -360,9 +376,16 @@ BuildCallback(Relation index, CALLBACK_ITEM_POINTER, Datum *values,
|
||||
|
||||
/* Add to buildstate or free */
|
||||
if (inserted)
|
||||
{
|
||||
element->value = datumCopy(element->value, false, -1);
|
||||
element->loaded = true;
|
||||
buildstate->elements = lappend(buildstate->elements, element);
|
||||
}
|
||||
else
|
||||
HnswFreeElement(element);
|
||||
|
||||
/* Reset memory context */
|
||||
MemoryContextReset(buildstate->tmpCtx);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -377,6 +400,7 @@ HnswGetMaxInMemoryElements(int m, double ml, int dimensions)
|
||||
elementSize += sizeof(HnswNeighborArray) * (avgLevel + 1);
|
||||
elementSize += sizeof(HnswCandidate) * (m * (avgLevel + 2));
|
||||
elementSize += sizeof(ItemPointerData);
|
||||
/* TODO Handle non-vector types */
|
||||
elementSize += VECTOR_SIZE(dimensions);
|
||||
return (maintenance_work_mem * 1024L) / elementSize;
|
||||
}
|
||||
@@ -394,7 +418,10 @@ InitBuildState(HnswBuildState * buildstate, Relation heap, Relation index, Index
|
||||
|
||||
buildstate->m = HnswGetM(index);
|
||||
buildstate->efConstruction = HnswGetEfConstruction(index);
|
||||
buildstate->dimensions = TupleDescAttr(index->rd_att, 0)->atttypmod;
|
||||
buildstate->dimensions = HnswGetDimensions(index);
|
||||
|
||||
if (buildstate->dimensions < 0)
|
||||
buildstate->dimensions = TupleDescAttr(index->rd_att, 0)->atttypmod;
|
||||
|
||||
/* Require column to have dimensions to be indexed */
|
||||
if (buildstate->dimensions < 0)
|
||||
@@ -403,13 +430,15 @@ InitBuildState(HnswBuildState * buildstate, Relation heap, Relation index, Index
|
||||
if (buildstate->dimensions > HNSW_MAX_DIM)
|
||||
elog(ERROR, "column cannot have more than %d dimensions for hnsw index", HNSW_MAX_DIM);
|
||||
|
||||
if (buildstate->efConstruction < 2 * buildstate->m)
|
||||
elog(ERROR, "ef_construction must be greater than or equal to 2 * m");
|
||||
|
||||
buildstate->reltuples = 0;
|
||||
buildstate->indtuples = 0;
|
||||
|
||||
/* Get support functions */
|
||||
buildstate->procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
||||
buildstate->normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
|
||||
buildstate->normalizeprocinfo = HnswOptionalProcInfo(index, HNSW_NORMALIZE_PROC);
|
||||
buildstate->collation = index->rd_indcollation[0];
|
||||
|
||||
buildstate->elements = NIL;
|
||||
|
||||
288
src/hnswinsert.c
288
src/hnswinsert.c
@@ -34,7 +34,7 @@ GetInsertPage(Relation index)
|
||||
* Check for a free offset
|
||||
*/
|
||||
static bool
|
||||
HnswFreeOffset(Relation index, Buffer buf, Page page, HnswElement element, Size ntupSize, Buffer *nbuf, Page *npage, OffsetNumber *freeOffno, OffsetNumber *freeNeighborOffno, BlockNumber *firstFreePage)
|
||||
HnswFreeOffset(Relation index, Buffer buf, Page page, HnswElement element, Size ntupSize, Buffer *nbuf, Page *npage, OffsetNumber *freeOffno, OffsetNumber *freeNeighborOffno, BlockNumber *newInsertPage)
|
||||
{
|
||||
OffsetNumber offno;
|
||||
OffsetNumber maxoffno = PageGetMaxOffsetNumber(page);
|
||||
@@ -49,14 +49,15 @@ HnswFreeOffset(Relation index, Buffer buf, Page page, HnswElement element, Size
|
||||
|
||||
if (etup->deleted)
|
||||
{
|
||||
BlockNumber elementPage = BufferGetBlockNumber(buf);
|
||||
BlockNumber neighborPage = ItemPointerGetBlockNumber(&etup->neighbortid);
|
||||
OffsetNumber neighborOffno = ItemPointerGetOffsetNumber(&etup->neighbortid);
|
||||
ItemId itemid;
|
||||
|
||||
if (!BlockNumberIsValid(*firstFreePage))
|
||||
*firstFreePage = neighborPage;
|
||||
if (!BlockNumberIsValid(*newInsertPage))
|
||||
*newInsertPage = elementPage;
|
||||
|
||||
if (neighborPage == BufferGetBlockNumber(buf))
|
||||
if (neighborPage == elementPage)
|
||||
{
|
||||
*nbuf = buf;
|
||||
*npage = page;
|
||||
@@ -110,7 +111,7 @@ HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState
|
||||
* Add to element and neighbor pages
|
||||
*/
|
||||
static void
|
||||
WriteNewElementPages(Relation index, HnswElement e, int m)
|
||||
WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPage, BlockNumber *updatedInsertPage)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
@@ -118,21 +119,23 @@ WriteNewElementPages(Relation index, HnswElement e, int m)
|
||||
Size etupSize;
|
||||
Size ntupSize;
|
||||
Size combinedSize;
|
||||
Size maxSize;
|
||||
Size minCombinedSize;
|
||||
HnswElementTuple etup;
|
||||
BlockNumber insertPage = GetInsertPage(index);
|
||||
BlockNumber originalInsertPage = insertPage;
|
||||
int dimensions = e->vec->dim;
|
||||
BlockNumber currentPage = insertPage;
|
||||
HnswNeighborTuple ntup;
|
||||
Buffer nbuf;
|
||||
Page npage;
|
||||
OffsetNumber freeOffno = InvalidOffsetNumber;
|
||||
OffsetNumber freeNeighborOffno = InvalidOffsetNumber;
|
||||
BlockNumber firstFreePage = InvalidBlockNumber;
|
||||
BlockNumber newInsertPage = InvalidBlockNumber;
|
||||
|
||||
/* Calculate sizes */
|
||||
etupSize = HNSW_ELEMENT_TUPLE_SIZE(dimensions);
|
||||
etupSize = HNSW_ELEMENT_TUPLE_SIZE(e->value);
|
||||
ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(e->level, m);
|
||||
combinedSize = etupSize + ntupSize + sizeof(ItemIdData);
|
||||
maxSize = BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(HnswPageOpaqueData));
|
||||
minCombinedSize = etupSize + HNSW_NEIGHBOR_TUPLE_SIZE(0, m) + sizeof(ItemIdData);
|
||||
|
||||
/* Prepare element tuple */
|
||||
etup = palloc0(etupSize);
|
||||
@@ -142,16 +145,22 @@ WriteNewElementPages(Relation index, HnswElement e, int m)
|
||||
ntup = palloc0(ntupSize);
|
||||
HnswSetNeighborTuple(ntup, e, m);
|
||||
|
||||
/* Find a page to insert the item */
|
||||
/* Find a page (or two if needed) to insert the tuples */
|
||||
for (;;)
|
||||
{
|
||||
buf = ReadBuffer(index, insertPage);
|
||||
buf = ReadBuffer(index, currentPage);
|
||||
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
|
||||
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
|
||||
/* Space for both */
|
||||
/* Keep track of first page where element at level 0 can fit */
|
||||
if (!BlockNumberIsValid(newInsertPage) && PageGetFreeSpace(page) >= minCombinedSize)
|
||||
newInsertPage = currentPage;
|
||||
|
||||
/* First, try the fastest path */
|
||||
/* Space for both tuples on the current page */
|
||||
/* This can split existing tuples in rare cases */
|
||||
if (PageGetFreeSpace(page) >= combinedSize)
|
||||
{
|
||||
nbuf = buf;
|
||||
@@ -159,15 +168,8 @@ WriteNewElementPages(Relation index, HnswElement e, int m)
|
||||
break;
|
||||
}
|
||||
|
||||
/* Space for element but not neighbors and last page */
|
||||
if (PageGetFreeSpace(page) >= etupSize && !BlockNumberIsValid(HnswPageGetOpaque(page)->nextblkno))
|
||||
{
|
||||
HnswInsertAppendPage(index, &nbuf, &npage, state, page);
|
||||
break;
|
||||
}
|
||||
|
||||
/* Space from deleted item */
|
||||
if (HnswFreeOffset(index, buf, page, e, ntupSize, &nbuf, &npage, &freeOffno, &freeNeighborOffno, &firstFreePage))
|
||||
/* Next, try space from a deleted element */
|
||||
if (HnswFreeOffset(index, buf, page, e, ntupSize, &nbuf, &npage, &freeOffno, &freeNeighborOffno, &newInsertPage))
|
||||
{
|
||||
if (nbuf != buf)
|
||||
npage = GenericXLogRegisterBuffer(state, nbuf, 0);
|
||||
@@ -175,9 +177,17 @@ WriteNewElementPages(Relation index, HnswElement e, int m)
|
||||
break;
|
||||
}
|
||||
|
||||
insertPage = HnswPageGetOpaque(page)->nextblkno;
|
||||
/* Finally, try space for element only if last page */
|
||||
/* 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);
|
||||
break;
|
||||
}
|
||||
|
||||
if (BlockNumberIsValid(insertPage))
|
||||
currentPage = HnswPageGetOpaque(page)->nextblkno;
|
||||
|
||||
if (BlockNumberIsValid(currentPage))
|
||||
{
|
||||
/* Move to next page */
|
||||
GenericXLogAbort(state);
|
||||
@@ -219,7 +229,10 @@ WriteNewElementPages(Relation index, HnswElement e, int m)
|
||||
e->blkno = BufferGetBlockNumber(buf);
|
||||
e->neighborPage = BufferGetBlockNumber(nbuf);
|
||||
|
||||
insertPage = e->neighborPage;
|
||||
/* Added tuple to new page if newInsertPage is not set */
|
||||
/* So can set to neighbor page instead of element page */
|
||||
if (!BlockNumberIsValid(newInsertPage))
|
||||
newInsertPage = e->neighborPage;
|
||||
|
||||
if (OffsetNumberIsValid(freeOffno))
|
||||
{
|
||||
@@ -265,75 +278,126 @@ WriteNewElementPages(Relation index, HnswElement e, int m)
|
||||
UnlockReleaseBuffer(nbuf);
|
||||
|
||||
/* Update the insert page */
|
||||
if (insertPage != originalInsertPage && (!OffsetNumberIsValid(freeOffno) || firstFreePage == insertPage))
|
||||
HnswUpdateMetaPage(index, false, NULL, insertPage, MAIN_FORKNUM);
|
||||
if (BlockNumberIsValid(newInsertPage) && newInsertPage != insertPage)
|
||||
*updatedInsertPage = newInsertPage;
|
||||
}
|
||||
|
||||
/*
|
||||
* Calculate index for update
|
||||
* Check if connection already exists
|
||||
*/
|
||||
static int
|
||||
HnswGetIndex(HnswUpdate * update, int m)
|
||||
static bool
|
||||
ConnectionExists(HnswElement e, HnswNeighborTuple ntup, int startIdx, int lm)
|
||||
{
|
||||
return (update->hc.element->level - update->level) * m + update->index;
|
||||
for (int i = 0; i < lm; i++)
|
||||
{
|
||||
ItemPointer indextid = &ntup->indextids[startIdx + i];
|
||||
|
||||
if (!ItemPointerIsValid(indextid))
|
||||
break;
|
||||
|
||||
if (ItemPointerGetBlockNumber(indextid) == e->blkno && ItemPointerGetOffsetNumber(indextid) == e->offno)
|
||||
return true;
|
||||
}
|
||||
|
||||
return false;
|
||||
}
|
||||
|
||||
/*
|
||||
* Update neighbors
|
||||
*/
|
||||
static void
|
||||
UpdateNeighborPages(Relation index, HnswElement e, int m, List *updates)
|
||||
void
|
||||
HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement e, int m, bool checkExisting)
|
||||
{
|
||||
ListCell *lc;
|
||||
|
||||
/* Could update multiple at once for same element */
|
||||
/* but should only happen a low percent of time, so keep simple for now */
|
||||
foreach(lc, updates)
|
||||
for (int lc = e->level; lc >= 0; lc--)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
GenericXLogState *state;
|
||||
HnswUpdate *update = lfirst(lc);
|
||||
ItemId itemid;
|
||||
HnswNeighborTuple ntup;
|
||||
Size ntupSize;
|
||||
int idx;
|
||||
OffsetNumber offno = update->hc.element->neighborOffno;
|
||||
int lm = HnswGetLayerM(m, lc);
|
||||
HnswNeighborArray *neighbors = &e->neighbors[lc];
|
||||
|
||||
/* Register page */
|
||||
buf = ReadBuffer(index, update->hc.element->neighborPage);
|
||||
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
|
||||
/* Get tuple */
|
||||
itemid = PageGetItemId(page, offno);
|
||||
ntup = (HnswNeighborTuple) PageGetItem(page, itemid);
|
||||
ntupSize = ItemIdGetLength(itemid);
|
||||
|
||||
/* Calculate index */
|
||||
idx = HnswGetIndex(update, m);
|
||||
|
||||
/* Make robust to issues */
|
||||
if (idx < ntup->count)
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
{
|
||||
ItemPointer indextid = &ntup->indextids[idx];
|
||||
HnswCandidate *hc = &neighbors->items[i];
|
||||
Buffer buf;
|
||||
Page page;
|
||||
GenericXLogState *state;
|
||||
ItemId itemid;
|
||||
HnswNeighborTuple ntup;
|
||||
Size ntupSize;
|
||||
int idx = -1;
|
||||
int startIdx;
|
||||
OffsetNumber offno = hc->element->neighborOffno;
|
||||
|
||||
/* Update neighbor */
|
||||
ItemPointerSet(indextid, e->blkno, e->offno);
|
||||
/* Get latest neighbors since they may have changed */
|
||||
/* Do not lock yet since selecting neighbors can take time */
|
||||
HnswLoadNeighbors(hc->element, index, m);
|
||||
|
||||
/* Overwrite tuple */
|
||||
if (!PageIndexTupleOverwrite(page, offno, (Item) ntup, ntupSize))
|
||||
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
|
||||
/*
|
||||
* Could improve performance for vacuuming by checking neighbors
|
||||
* against list of elements being deleted to find index. It's
|
||||
* important to exclude already deleted elements for this since
|
||||
* they can be replaced at any time.
|
||||
*/
|
||||
|
||||
/* Commit */
|
||||
MarkBufferDirty(buf);
|
||||
GenericXLogFinish(state);
|
||||
/* Select neighbors */
|
||||
HnswUpdateConnection(e, hc, lm, lc, &idx, index, procinfo, collation);
|
||||
|
||||
/* New element was not selected as a neighbor */
|
||||
if (idx == -1)
|
||||
continue;
|
||||
|
||||
/* Register page */
|
||||
buf = ReadBuffer(index, hc->element->neighborPage);
|
||||
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
|
||||
/* Get tuple */
|
||||
itemid = PageGetItemId(page, offno);
|
||||
ntup = (HnswNeighborTuple) PageGetItem(page, itemid);
|
||||
ntupSize = ItemIdGetLength(itemid);
|
||||
|
||||
/* Calculate index for update */
|
||||
startIdx = (hc->element->level - lc) * m;
|
||||
|
||||
/* Check for existing connection */
|
||||
if (checkExisting && ConnectionExists(e, ntup, startIdx, lm))
|
||||
idx = -1;
|
||||
else if (idx == -2)
|
||||
{
|
||||
/* Find free offset if still exists */
|
||||
/* TODO Retry updating connections if not */
|
||||
for (int j = 0; j < lm; j++)
|
||||
{
|
||||
if (!ItemPointerIsValid(&ntup->indextids[startIdx + j]))
|
||||
{
|
||||
idx = startIdx + j;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
else
|
||||
idx += startIdx;
|
||||
|
||||
/* Make robust to issues */
|
||||
if (idx >= 0 && idx < ntup->count)
|
||||
{
|
||||
ItemPointer indextid = &ntup->indextids[idx];
|
||||
|
||||
/* Update neighbor */
|
||||
ItemPointerSet(indextid, e->blkno, e->offno);
|
||||
|
||||
/* Overwrite tuple */
|
||||
if (!PageIndexTupleOverwrite(page, offno, (Item) ntup, ntupSize))
|
||||
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
|
||||
|
||||
/* Commit */
|
||||
MarkBufferDirty(buf);
|
||||
GenericXLogFinish(state);
|
||||
}
|
||||
else
|
||||
GenericXLogAbort(state);
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
else
|
||||
GenericXLogAbort(state);
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -346,7 +410,7 @@ HnswAddDuplicate(Relation index, HnswElement element, HnswElement dup)
|
||||
Buffer buf;
|
||||
Page page;
|
||||
GenericXLogState *state;
|
||||
Size etupSize = HNSW_ELEMENT_TUPLE_SIZE(dup->vec->dim);
|
||||
Size etupSize = HNSW_ELEMENT_TUPLE_SIZE(dup->value);
|
||||
HnswElementTuple etup;
|
||||
int i;
|
||||
|
||||
@@ -391,8 +455,10 @@ HnswAddDuplicate(Relation index, HnswElement element, HnswElement dup)
|
||||
* Write changes to disk
|
||||
*/
|
||||
static void
|
||||
WriteElement(Relation index, HnswElement element, int m, List *updates, HnswElement dup, HnswElement entryPoint)
|
||||
WriteElement(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement element, int m, int efConstruction, HnswElement dup, HnswElement entryPoint)
|
||||
{
|
||||
BlockNumber newInsertPage = InvalidBlockNumber;
|
||||
|
||||
/* Try to add to existing page */
|
||||
if (dup != NULL)
|
||||
{
|
||||
@@ -400,13 +466,19 @@ WriteElement(Relation index, HnswElement element, int m, List *updates, HnswElem
|
||||
return;
|
||||
}
|
||||
|
||||
/* If fails, take this path */
|
||||
WriteNewElementPages(index, element, m);
|
||||
UpdateNeighborPages(index, element, m, updates);
|
||||
/* Write element and neighbor tuples */
|
||||
WriteNewElementPages(index, element, m, GetInsertPage(index), &newInsertPage);
|
||||
|
||||
/* Update insert page if needed */
|
||||
if (BlockNumberIsValid(newInsertPage))
|
||||
HnswUpdateMetaPage(index, 0, NULL, newInsertPage, MAIN_FORKNUM);
|
||||
|
||||
/* Update neighbors */
|
||||
HnswUpdateNeighborPages(index, procinfo, collation, element, m, false);
|
||||
|
||||
/* Update metapage if needed */
|
||||
if (entryPoint == NULL || element->level > entryPoint->level)
|
||||
HnswUpdateMetaPage(index, true, element, InvalidBlockNumber, MAIN_FORKNUM);
|
||||
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_GREATER, element, InvalidBlockNumber, MAIN_FORKNUM);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -417,37 +489,65 @@ HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_ti
|
||||
{
|
||||
Datum value;
|
||||
FmgrInfo *normprocinfo;
|
||||
FmgrInfo *normalizeprocinfo;
|
||||
HnswElement entryPoint;
|
||||
HnswElement element;
|
||||
int m = HnswGetM(index);
|
||||
int m;
|
||||
int efConstruction = HnswGetEfConstruction(index);
|
||||
double ml = HnswGetMl(m);
|
||||
FmgrInfo *procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
||||
Oid collation = index->rd_indcollation[0];
|
||||
List *updates = NIL;
|
||||
HnswElement dup;
|
||||
LOCKMODE lockmode = ShareLock;
|
||||
|
||||
/* Detoast once for all calls */
|
||||
value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
|
||||
|
||||
/* Normalize if needed */
|
||||
normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
|
||||
normalizeprocinfo = HnswOptionalProcInfo(index, HNSW_NORMALIZE_PROC);
|
||||
HnswNormValue(normprocinfo, normalizeprocinfo, collation, &value, NULL);
|
||||
if (normprocinfo != NULL)
|
||||
{
|
||||
if (!HnswNormValue(normprocinfo, collation, &value, NULL))
|
||||
return false;
|
||||
}
|
||||
|
||||
/*
|
||||
* Get a shared lock. This allows vacuum to ensure no in-flight inserts
|
||||
* before repairing graph. Use a page lock so it does not interfere with
|
||||
* buffer lock (or reads when vacuuming).
|
||||
*/
|
||||
LockPage(index, HNSW_UPDATE_LOCK, lockmode);
|
||||
|
||||
/* Get m and entry point */
|
||||
HnswGetMetaPageInfo(index, &m, &entryPoint);
|
||||
|
||||
/* Create an element */
|
||||
element = HnswInitElement(heap_tid, m, ml, HnswGetMaxLevel(m));
|
||||
element->vec = DatumGetVector(value);
|
||||
element = HnswInitElement(heap_tid, m, HnswGetMl(m), HnswGetMaxLevel(m));
|
||||
element->value = value;
|
||||
|
||||
/* Get entry point */
|
||||
entryPoint = HnswGetEntryPoint(index);
|
||||
/* Prevent concurrent inserts when likely updating entry point */
|
||||
if (entryPoint == NULL || element->level > entryPoint->level)
|
||||
{
|
||||
/* Release shared lock */
|
||||
UnlockPage(index, HNSW_UPDATE_LOCK, lockmode);
|
||||
|
||||
/* Get exclusive lock */
|
||||
lockmode = ExclusiveLock;
|
||||
LockPage(index, HNSW_UPDATE_LOCK, lockmode);
|
||||
|
||||
/* Get latest entry point after lock is acquired */
|
||||
entryPoint = HnswGetEntryPoint(index);
|
||||
}
|
||||
|
||||
/* Insert element in graph */
|
||||
dup = HnswInsertElement(element, entryPoint, index, procinfo, collation, m, efConstruction, &updates, false);
|
||||
HnswInsertElement(element, entryPoint, index, procinfo, collation, m, efConstruction, false);
|
||||
|
||||
/* Look for duplicate */
|
||||
dup = HnswFindDuplicate(element);
|
||||
|
||||
/* Write to disk */
|
||||
WriteElement(index, element, m, updates, dup, entryPoint);
|
||||
WriteElement(index, procinfo, collation, element, m, efConstruction, dup, entryPoint);
|
||||
|
||||
/* Release lock */
|
||||
UnlockPage(index, HNSW_UPDATE_LOCK, lockmode);
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
@@ -4,34 +4,39 @@
|
||||
#include "hnsw.h"
|
||||
#include "pgstat.h"
|
||||
#include "storage/bufmgr.h"
|
||||
#include "storage/lmgr.h"
|
||||
#include "utils/memutils.h"
|
||||
|
||||
/*
|
||||
* Algorithm 5 from paper
|
||||
*/
|
||||
static void
|
||||
static List *
|
||||
GetScanItems(IndexScanDesc scan, Datum q)
|
||||
{
|
||||
HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
|
||||
Relation index = scan->indexRelation;
|
||||
FmgrInfo *procinfo = so->procinfo;
|
||||
Oid collation = so->collation;
|
||||
List *ep = NIL;
|
||||
List *ep;
|
||||
List *w;
|
||||
HnswElement entryPoint = HnswGetEntryPoint(index);
|
||||
int m;
|
||||
HnswElement entryPoint;
|
||||
|
||||
/* Get m and entry point */
|
||||
HnswGetMetaPageInfo(index, &m, &entryPoint);
|
||||
|
||||
if (entryPoint == NULL)
|
||||
return;
|
||||
return NIL;
|
||||
|
||||
ep = lappend(ep, HnswEntryCandidate(entryPoint, q, index, procinfo, collation, false));
|
||||
ep = list_make1(HnswEntryCandidate(entryPoint, q, index, procinfo, collation, false));
|
||||
|
||||
for (int lc = entryPoint->level; lc >= 1; lc--)
|
||||
{
|
||||
w = HnswSearchLayer(q, ep, 1, lc, index, procinfo, collation, false, NULL, NULL);
|
||||
w = HnswSearchLayer(q, ep, 1, lc, index, procinfo, collation, m, false, NULL);
|
||||
ep = w;
|
||||
}
|
||||
|
||||
so->w = HnswSearchLayer(q, ep, hnsw_ef_search, 0, index, procinfo, collation, false, NULL, NULL);
|
||||
return HnswSearchLayer(q, ep, hnsw_ef_search, 0, index, procinfo, collation, m, false, NULL);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -57,6 +62,33 @@ GetDimensions(Relation index)
|
||||
return dimensions;
|
||||
}
|
||||
|
||||
/*
|
||||
* Get scan value
|
||||
*/
|
||||
static Datum
|
||||
GetScanValue(IndexScanDesc scan)
|
||||
{
|
||||
HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
|
||||
Datum value;
|
||||
|
||||
if (scan->orderByData->sk_flags & SK_ISNULL)
|
||||
value = PointerGetDatum(InitVector(GetDimensions(scan->indexRelation)));
|
||||
else
|
||||
{
|
||||
value = scan->orderByData->sk_argument;
|
||||
|
||||
/* Value should not be compressed or toasted */
|
||||
Assert(!VARATT_IS_COMPRESSED(DatumGetPointer(value)));
|
||||
Assert(!VARATT_IS_EXTENDED(DatumGetPointer(value)));
|
||||
|
||||
/* Fine if normalization fails */
|
||||
if (so->normprocinfo != NULL)
|
||||
HnswNormValue(so->normprocinfo, so->collation, &value, NULL);
|
||||
}
|
||||
|
||||
return value;
|
||||
}
|
||||
|
||||
/*
|
||||
* Prepare for an index scan
|
||||
*/
|
||||
@@ -69,7 +101,6 @@ hnswbeginscan(Relation index, int nkeys, int norderbys)
|
||||
scan = RelationGetIndexScan(index, nkeys, norderbys);
|
||||
|
||||
so = (HnswScanOpaque) palloc(sizeof(HnswScanOpaqueData));
|
||||
so->buf = InvalidBuffer;
|
||||
so->first = true;
|
||||
so->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
|
||||
"Hnsw scan temporary context",
|
||||
@@ -78,11 +109,16 @@ hnswbeginscan(Relation index, int nkeys, int norderbys)
|
||||
/* Set support functions */
|
||||
so->procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
||||
so->normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
|
||||
so->normalizeprocinfo = HnswOptionalProcInfo(index, HNSW_NORMALIZE_PROC);
|
||||
so->collation = index->rd_indcollation[0];
|
||||
|
||||
scan->opaque = so;
|
||||
|
||||
/*
|
||||
* Get a shared lock. This allows vacuum to ensure no in-flight scans
|
||||
* before marking tuples as deleted.
|
||||
*/
|
||||
LockPage(scan->indexRelation, HNSW_SCAN_LOCK, ShareLock);
|
||||
|
||||
return scan;
|
||||
}
|
||||
|
||||
@@ -130,60 +166,46 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
if (scan->orderByData == NULL)
|
||||
elog(ERROR, "cannot scan hnsw index without order");
|
||||
|
||||
if (scan->orderByData->sk_flags & SK_ISNULL)
|
||||
value = PointerGetDatum(InitVector(GetDimensions(scan->indexRelation)));
|
||||
else
|
||||
{
|
||||
value = scan->orderByData->sk_argument;
|
||||
/* Get scan value */
|
||||
value = GetScanValue(scan);
|
||||
|
||||
/* Value should not be compressed or toasted */
|
||||
Assert(!VARATT_IS_COMPRESSED(DatumGetPointer(value)));
|
||||
Assert(!VARATT_IS_EXTENDED(DatumGetPointer(value)));
|
||||
so->w = GetScanItems(scan, value);
|
||||
|
||||
/* Fine if normalization fails */
|
||||
HnswNormValue(so->normprocinfo, so->normalizeprocinfo, so->collation, &value, NULL);
|
||||
}
|
||||
|
||||
GetScanItems(scan, value);
|
||||
so->first = false;
|
||||
}
|
||||
|
||||
while (list_length(so->w) > 0)
|
||||
{
|
||||
HnswCandidate *hc = llast(so->w);
|
||||
ItemPointer tid;
|
||||
BlockNumber indexblkno;
|
||||
ItemPointer heaptid;
|
||||
|
||||
/* Move to next element if no valid heap tids */
|
||||
/* Move to next element if no valid heap TIDs */
|
||||
if (list_length(hc->element->heaptids) == 0)
|
||||
{
|
||||
so->w = list_delete_last(so->w);
|
||||
continue;
|
||||
}
|
||||
|
||||
tid = llast(hc->element->heaptids);
|
||||
indexblkno = hc->element->blkno;
|
||||
heaptid = llast(hc->element->heaptids);
|
||||
|
||||
hc->element->heaptids = list_delete_last(hc->element->heaptids);
|
||||
|
||||
MemoryContextSwitchTo(oldCtx);
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
scan->xs_heaptid = *tid;
|
||||
scan->xs_heaptid = *heaptid;
|
||||
#else
|
||||
scan->xs_ctup.t_self = *tid;
|
||||
scan->xs_ctup.t_self = *heaptid;
|
||||
#endif
|
||||
|
||||
if (BufferIsValid(so->buf))
|
||||
ReleaseBuffer(so->buf);
|
||||
|
||||
/*
|
||||
* An index scan must maintain a pin on the index page holding the
|
||||
* item last returned by amgettuple
|
||||
* Typically, an index scan must maintain a pin on the index page
|
||||
* holding the item last returned by amgettuple. However, this is not
|
||||
* needed with the current vacuum strategy, which ensures scans do not
|
||||
* visit tuples in danger of being marked as deleted.
|
||||
*
|
||||
* https://www.postgresql.org/docs/current/index-locking.html
|
||||
*/
|
||||
so->buf = ReadBuffer(scan->indexRelation, indexblkno);
|
||||
|
||||
scan->xs_recheckorderby = false;
|
||||
return true;
|
||||
@@ -201,9 +223,8 @@ hnswendscan(IndexScanDesc scan)
|
||||
{
|
||||
HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
|
||||
|
||||
/* Release pin */
|
||||
if (BufferIsValid(so->buf))
|
||||
ReleaseBuffer(so->buf);
|
||||
/* Release shared lock */
|
||||
UnlockPage(scan->indexRelation, HNSW_SCAN_LOCK, ShareLock);
|
||||
|
||||
MemoryContextDelete(so->tmpCtx);
|
||||
|
||||
|
||||
538
src/hnswutils.c
538
src/hnswutils.c
@@ -4,10 +4,11 @@
|
||||
|
||||
#include "hnsw.h"
|
||||
#include "storage/bufmgr.h"
|
||||
#include "utils/datum.h"
|
||||
#include "vector.h"
|
||||
|
||||
/*
|
||||
* Get the number of connection in the index
|
||||
* Get the max number of connections in an upper layer for each element in the index
|
||||
*/
|
||||
int
|
||||
HnswGetM(Relation index)
|
||||
@@ -35,38 +36,43 @@ HnswGetEfConstruction(Relation index)
|
||||
}
|
||||
|
||||
/*
|
||||
* Get proc
|
||||
* Get the number of dimensions in the index
|
||||
*/
|
||||
FmgrInfo *
|
||||
HnswOptionalProcInfo(Relation rel, uint16 procnum)
|
||||
int
|
||||
HnswGetDimensions(Relation index)
|
||||
{
|
||||
if (!OidIsValid(index_getprocid(rel, 1, procnum)))
|
||||
return NULL;
|
||||
HnswOptions *opts = (HnswOptions *) index->rd_options;
|
||||
|
||||
return index_getprocinfo(rel, 1, procnum);
|
||||
if (opts)
|
||||
return opts->dimensions;
|
||||
|
||||
return HNSW_DEFAULT_DIMENSIONS;
|
||||
}
|
||||
|
||||
/*
|
||||
* Normalize a vector
|
||||
* Get proc
|
||||
*/
|
||||
FmgrInfo *
|
||||
HnswOptionalProcInfo(Relation index, uint16 procnum)
|
||||
{
|
||||
if (!OidIsValid(index_getprocid(index, 1, procnum)))
|
||||
return NULL;
|
||||
|
||||
return index_getprocinfo(index, 1, procnum);
|
||||
}
|
||||
|
||||
/*
|
||||
* Divide by the norm
|
||||
*
|
||||
* Returns false if value should not be indexed
|
||||
*
|
||||
* The caller needs to free the pointer stored in value
|
||||
* if it's different than the original value
|
||||
*/
|
||||
void
|
||||
HnswNormValue(FmgrInfo *procinfo, FmgrInfo *normalizeprocinfo, Oid collation, Datum *value, Vector * result)
|
||||
bool
|
||||
HnswNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result)
|
||||
{
|
||||
double norm;
|
||||
|
||||
if (normalizeprocinfo != NULL)
|
||||
{
|
||||
*value = FunctionCall1Coll(normalizeprocinfo, collation, *value);
|
||||
return;
|
||||
}
|
||||
|
||||
if (procinfo == NULL)
|
||||
return;
|
||||
|
||||
norm = DatumGetFloat8(FunctionCall1Coll(procinfo, collation, *value));
|
||||
double norm = DatumGetFloat8(FunctionCall1Coll(procinfo, collation, *value));
|
||||
|
||||
if (norm > 0)
|
||||
{
|
||||
@@ -79,7 +85,11 @@ HnswNormValue(FmgrInfo *procinfo, FmgrInfo *normalizeprocinfo, Oid collation, Da
|
||||
result->x[i] = v->x[i] / norm;
|
||||
|
||||
*value = PointerGetDatum(result);
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
return false;
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -148,6 +158,17 @@ 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
|
||||
*/
|
||||
@@ -179,11 +200,10 @@ HnswInitElement(ItemPointer heaptid, int m, double ml, int maxLevel)
|
||||
void
|
||||
HnswFreeElement(HnswElement element)
|
||||
{
|
||||
HnswFreeNeighbors(element);
|
||||
list_free_deep(element->heaptids);
|
||||
for (int lc = 0; lc <= element->level; lc++)
|
||||
pfree(element->neighbors[lc].items);
|
||||
pfree(element->neighbors);
|
||||
pfree(element->vec);
|
||||
if (element->loaded)
|
||||
pfree(DatumGetPointer(element->value));
|
||||
pfree(element);
|
||||
}
|
||||
|
||||
@@ -202,59 +222,67 @@ HnswAddHeapTid(HnswElement element, ItemPointer heaptid)
|
||||
/*
|
||||
* Allocate an element from block and offset numbers
|
||||
*/
|
||||
static HnswElement
|
||||
InitElementFromBlock(BlockNumber blkno, OffsetNumber offno)
|
||||
HnswElement
|
||||
HnswInitElementFromBlock(BlockNumber blkno, OffsetNumber offno)
|
||||
{
|
||||
HnswElement element = palloc(sizeof(HnswElementData));
|
||||
|
||||
element->blkno = blkno;
|
||||
element->offno = offno;
|
||||
element->neighbors = NULL;
|
||||
element->vec = NULL;
|
||||
element->loaded = false;
|
||||
return element;
|
||||
}
|
||||
|
||||
/*
|
||||
* Get the metapage info
|
||||
*/
|
||||
void
|
||||
HnswGetMetaPageInfo(Relation index, int *m, HnswElement * entryPoint)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
HnswMetaPage metap;
|
||||
|
||||
buf = ReadBuffer(index, HNSW_METAPAGE_BLKNO);
|
||||
LockBuffer(buf, BUFFER_LOCK_SHARE);
|
||||
page = BufferGetPage(buf);
|
||||
metap = HnswPageGetMeta(page);
|
||||
|
||||
if (m != NULL)
|
||||
*m = metap->m;
|
||||
|
||||
if (entryPoint != NULL)
|
||||
{
|
||||
if (BlockNumberIsValid(metap->entryBlkno))
|
||||
*entryPoint = HnswInitElementFromBlock(metap->entryBlkno, metap->entryOffno);
|
||||
else
|
||||
*entryPoint = NULL;
|
||||
}
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
|
||||
/*
|
||||
* Get the entry point
|
||||
*/
|
||||
HnswElement
|
||||
HnswGetEntryPoint(Relation index)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
HnswMetaPage metap;
|
||||
HnswElement entryPoint = NULL;
|
||||
HnswElement entryPoint;
|
||||
|
||||
buf = ReadBuffer(index, HNSW_METAPAGE_BLKNO);
|
||||
LockBuffer(buf, BUFFER_LOCK_SHARE);
|
||||
page = BufferGetPage(buf);
|
||||
metap = HnswPageGetMeta(page);
|
||||
|
||||
if (BlockNumberIsValid(metap->entryBlkno))
|
||||
entryPoint = InitElementFromBlock(metap->entryBlkno, metap->entryOffno);
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
HnswGetMetaPageInfo(index, NULL, &entryPoint);
|
||||
|
||||
return entryPoint;
|
||||
}
|
||||
|
||||
/*
|
||||
* Update the metapage
|
||||
* Update the metapage info
|
||||
*/
|
||||
void
|
||||
HnswUpdateMetaPage(Relation index, bool updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum)
|
||||
static void
|
||||
HnswUpdateMetaPageInfo(Page page, int updateEntry, HnswElement entryPoint, BlockNumber insertPage)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
GenericXLogState *state;
|
||||
HnswMetaPage metap;
|
||||
|
||||
buf = ReadBufferExtended(index, forkNum, HNSW_METAPAGE_BLKNO, RBM_NORMAL, NULL);
|
||||
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
|
||||
metap = HnswPageGetMeta(page);
|
||||
HnswMetaPage metap = HnswPageGetMeta(page);
|
||||
|
||||
if (updateEntry)
|
||||
{
|
||||
@@ -264,7 +292,7 @@ HnswUpdateMetaPage(Relation index, bool updateEntry, HnswElement entryPoint, Blo
|
||||
metap->entryOffno = InvalidOffsetNumber;
|
||||
metap->entryLevel = -1;
|
||||
}
|
||||
else
|
||||
else if (entryPoint->level > metap->entryLevel || updateEntry == HNSW_UPDATE_ENTRY_ALWAYS)
|
||||
{
|
||||
metap->entryBlkno = entryPoint->blkno;
|
||||
metap->entryOffno = entryPoint->offno;
|
||||
@@ -274,6 +302,24 @@ HnswUpdateMetaPage(Relation index, bool updateEntry, HnswElement entryPoint, Blo
|
||||
|
||||
if (BlockNumberIsValid(insertPage))
|
||||
metap->insertPage = insertPage;
|
||||
}
|
||||
|
||||
/*
|
||||
* Update the metapage
|
||||
*/
|
||||
void
|
||||
HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
GenericXLogState *state;
|
||||
|
||||
buf = ReadBufferExtended(index, forkNum, HNSW_METAPAGE_BLKNO, RBM_NORMAL, NULL);
|
||||
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
|
||||
HnswUpdateMetaPageInfo(page, updateEntry, entryPoint, insertPage);
|
||||
|
||||
HnswCommitBuffer(buf, state);
|
||||
}
|
||||
@@ -294,7 +340,7 @@ HnswSetElementTuple(HnswElementTuple etup, HnswElement element)
|
||||
else
|
||||
ItemPointerSetInvalid(&etup->heaptids[i]);
|
||||
}
|
||||
memcpy(&etup->vec, element->vec, VECTOR_SIZE(element->vec->dim));
|
||||
memcpy(&etup->value, DatumGetPointer(element->value), VARSIZE_ANY(element->value));
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -334,10 +380,9 @@ HnswSetNeighborTuple(HnswNeighborTuple ntup, HnswElement e, int m)
|
||||
* Load neighbors from page
|
||||
*/
|
||||
static void
|
||||
LoadNeighborsFromPage(HnswElement element, Relation index, Page page)
|
||||
LoadNeighborsFromPage(HnswElement element, Relation index, Page page, int m)
|
||||
{
|
||||
HnswNeighborTuple ntup = (HnswNeighborTuple) PageGetItem(page, PageGetItemId(page, element->neighborOffno));
|
||||
int m = HnswGetM(index);
|
||||
int neighborCount = (element->level + 2) * m;
|
||||
|
||||
Assert(HnswIsNeighborTuple(ntup));
|
||||
@@ -361,7 +406,7 @@ LoadNeighborsFromPage(HnswElement element, Relation index, Page page)
|
||||
if (!ItemPointerIsValid(indextid))
|
||||
continue;
|
||||
|
||||
e = InitElementFromBlock(ItemPointerGetBlockNumber(indextid), ItemPointerGetOffsetNumber(indextid));
|
||||
e = HnswInitElementFromBlock(ItemPointerGetBlockNumber(indextid), ItemPointerGetOffsetNumber(indextid));
|
||||
|
||||
/* Calculate level based on offset */
|
||||
level = element->level - i / m;
|
||||
@@ -377,8 +422,8 @@ LoadNeighborsFromPage(HnswElement element, Relation index, Page page)
|
||||
/*
|
||||
* Load neighbors
|
||||
*/
|
||||
static void
|
||||
LoadNeighbors(HnswElement element, Relation index)
|
||||
void
|
||||
HnswLoadNeighbors(HnswElement element, Relation index, int m)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
@@ -387,11 +432,44 @@ LoadNeighbors(HnswElement element, Relation index)
|
||||
LockBuffer(buf, BUFFER_LOCK_SHARE);
|
||||
page = BufferGetPage(buf);
|
||||
|
||||
LoadNeighborsFromPage(element, index, page);
|
||||
LoadNeighborsFromPage(element, index, page, m);
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
|
||||
/*
|
||||
* Load an element from a tuple
|
||||
*/
|
||||
void
|
||||
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;
|
||||
|
||||
if (loadHeaptids)
|
||||
{
|
||||
for (int i = 0; i < HNSW_HEAPTIDS; i++)
|
||||
{
|
||||
/* Can stop at first invalid */
|
||||
if (!ItemPointerIsValid(&etup->heaptids[i]))
|
||||
break;
|
||||
|
||||
HnswAddHeapTid(element, &etup->heaptids[i]);
|
||||
}
|
||||
}
|
||||
|
||||
if (loadVec)
|
||||
{
|
||||
Datum value = PointerGetDatum(&etup->value);
|
||||
|
||||
element->value = datumCopy(value, false, -1);
|
||||
element->loaded = true;
|
||||
}
|
||||
}
|
||||
|
||||
/*
|
||||
* Load an element and optionally get its distance from q
|
||||
*/
|
||||
@@ -412,29 +490,11 @@ HnswLoadElement(HnswElement element, float *distance, Datum *q, Relation index,
|
||||
Assert(HnswIsElementTuple(etup));
|
||||
|
||||
/* Load element */
|
||||
element->heaptids = NIL;
|
||||
for (int i = 0; i < HNSW_HEAPTIDS; i++)
|
||||
{
|
||||
/* Can stop at first invalid */
|
||||
if (!ItemPointerIsValid(&etup->heaptids[i]))
|
||||
break;
|
||||
|
||||
HnswAddHeapTid(element, &etup->heaptids[i]);
|
||||
}
|
||||
element->level = etup->level;
|
||||
element->neighborPage = ItemPointerGetBlockNumber(&etup->neighbortid);
|
||||
element->neighborOffno = ItemPointerGetOffsetNumber(&etup->neighbortid);
|
||||
element->deleted = etup->deleted;
|
||||
|
||||
if (loadVec)
|
||||
{
|
||||
element->vec = palloc(VECTOR_SIZE(etup->vec.dim));
|
||||
memcpy(element->vec, &etup->vec, VECTOR_SIZE(etup->vec.dim));
|
||||
}
|
||||
HnswLoadElementFromTuple(element, etup, true, loadVec);
|
||||
|
||||
/* Calculate distance */
|
||||
if (distance != NULL)
|
||||
*distance = (float) DatumGetFloat8(FunctionCall2Coll(procinfo, collation, *q, PointerGetDatum(&etup->vec)));
|
||||
*distance = (float) DatumGetFloat8(FunctionCall2Coll(procinfo, collation, *q, PointerGetDatum(&etup->value)));
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
@@ -445,14 +505,14 @@ HnswLoadElement(HnswElement element, float *distance, Datum *q, Relation index,
|
||||
static float
|
||||
GetCandidateDistance(HnswCandidate * hc, Datum q, FmgrInfo *procinfo, Oid collation)
|
||||
{
|
||||
return DatumGetFloat8(FunctionCall2Coll(procinfo, collation, q, PointerGetDatum(hc->element->vec)));
|
||||
return DatumGetFloat8(FunctionCall2Coll(procinfo, collation, q, hc->element->value));
|
||||
}
|
||||
|
||||
/*
|
||||
* Create a candidate for the entry point
|
||||
*/
|
||||
HnswCandidate *
|
||||
HnswEntryCandidate(HnswElement entryPoint, Datum q, Relation index, FmgrInfo *procinfo, Oid collation, bool loadvec)
|
||||
HnswEntryCandidate(HnswElement entryPoint, Datum q, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec)
|
||||
{
|
||||
HnswCandidate *hc = palloc(sizeof(HnswCandidate));
|
||||
|
||||
@@ -460,7 +520,7 @@ HnswEntryCandidate(HnswElement entryPoint, Datum q, Relation index, FmgrInfo *pr
|
||||
if (index == NULL)
|
||||
hc->distance = GetCandidateDistance(hc, q, procinfo, collation);
|
||||
else
|
||||
HnswLoadElement(hc->element, &hc->distance, &q, index, procinfo, collation, loadvec);
|
||||
HnswLoadElement(hc->element, &hc->distance, &q, index, procinfo, collation, loadVec);
|
||||
return hc;
|
||||
}
|
||||
|
||||
@@ -527,7 +587,7 @@ AddToVisited(HTAB *v, HnswCandidate * hc, Relation index, bool *found)
|
||||
* Algorithm 2 from paper
|
||||
*/
|
||||
List *
|
||||
HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, bool inserting, BlockNumber *skipPage, OffsetNumber *skipOffno)
|
||||
HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, int m, bool inserting, HnswElement skipElement)
|
||||
{
|
||||
ListCell *lc2;
|
||||
|
||||
@@ -563,7 +623,13 @@ HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *pro
|
||||
pairingheap_add(C, &(CreatePairingHeapNode(hc)->ph_node));
|
||||
pairingheap_add(W, &(CreatePairingHeapNode(hc)->ph_node));
|
||||
|
||||
wlen++;
|
||||
/*
|
||||
* Do not count elements being deleted towards ef when vacuuming. It
|
||||
* 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)
|
||||
wlen++;
|
||||
}
|
||||
|
||||
while (!pairingheap_is_empty(C))
|
||||
@@ -576,7 +642,7 @@ HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *pro
|
||||
break;
|
||||
|
||||
if (c->element->neighbors == NULL)
|
||||
LoadNeighbors(c->element, index);
|
||||
HnswLoadNeighbors(c->element, index, m);
|
||||
|
||||
/* Get the neighborhood at layer lc */
|
||||
neighborhood = &c->element->neighbors[lc];
|
||||
@@ -599,17 +665,7 @@ HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *pro
|
||||
else
|
||||
HnswLoadElement(e->element, &eDistance, &q, index, procinfo, collation, inserting);
|
||||
|
||||
/* Skip if fully deleted */
|
||||
if (e->element->deleted)
|
||||
continue;
|
||||
|
||||
/* Skip for inserts if deleting */
|
||||
if (inserting && list_length(e->element->heaptids) == 0)
|
||||
continue;
|
||||
|
||||
/* Skip self for vacuuming update */
|
||||
if (skipPage != NULL && e->element->neighborPage == *skipPage && e->element->neighborOffno == *skipOffno)
|
||||
continue;
|
||||
Assert(!e->element->deleted);
|
||||
|
||||
/* Make robust to issues */
|
||||
if (e->element->level < lc)
|
||||
@@ -625,11 +681,20 @@ HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *pro
|
||||
|
||||
pairingheap_add(C, &(CreatePairingHeapNode(ec)->ph_node));
|
||||
pairingheap_add(W, &(CreatePairingHeapNode(ec)->ph_node));
|
||||
wlen++;
|
||||
|
||||
/* No need to decrement wlen */
|
||||
if (wlen > ef)
|
||||
pairingheap_remove_first(W);
|
||||
/*
|
||||
* Do not count elements being deleted towards ef when
|
||||
* 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)
|
||||
{
|
||||
wlen++;
|
||||
|
||||
/* No need to decrement wlen */
|
||||
if (wlen > ef)
|
||||
pairingheap_remove_first(W);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -675,7 +740,7 @@ HnswGetDistance(HnswElement a, HnswElement b, int lc, FmgrInfo *procinfo, Oid co
|
||||
}
|
||||
}
|
||||
|
||||
return DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(a->vec), PointerGetDatum(b->vec)));
|
||||
return DatumGetFloat8(FunctionCall2Coll(procinfo, collation, a->value, b->value));
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -708,7 +773,7 @@ SelectNeighbors(List *c, int m, int lc, FmgrInfo *procinfo, Oid collation, HnswC
|
||||
List *w = list_copy(c);
|
||||
pairingheap *wd;
|
||||
|
||||
if (list_length(w) < m)
|
||||
if (list_length(w) <= m)
|
||||
return w;
|
||||
|
||||
wd = pairingheap_allocate(CompareNearestCandidates, NULL);
|
||||
@@ -748,17 +813,17 @@ SelectNeighbors(List *c, int m, int lc, FmgrInfo *procinfo, Oid collation, HnswC
|
||||
/*
|
||||
* Find duplicate element
|
||||
*/
|
||||
static HnswElement
|
||||
HnswFindDuplicate(HnswElement e, List *neighbors)
|
||||
HnswElement
|
||||
HnswFindDuplicate(HnswElement e)
|
||||
{
|
||||
ListCell *lc;
|
||||
HnswNeighborArray *neighbors = &e->neighbors[0];
|
||||
|
||||
foreach(lc, neighbors)
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
{
|
||||
HnswCandidate *neighbor = lfirst(lc);
|
||||
HnswCandidate *neighbor = &neighbors->items[i];
|
||||
|
||||
/* Exit early since ordered by distance */
|
||||
if (vector_cmp_internal(e->vec, neighbor->element->vec) != 0)
|
||||
if (!datumIsEqual(e->value, neighbor->element->value, false, -1))
|
||||
break;
|
||||
|
||||
/* Check for space */
|
||||
@@ -804,183 +869,168 @@ CompareCandidateDistances(const void *a, const void *b)
|
||||
return 0;
|
||||
}
|
||||
|
||||
/*
|
||||
* Create update
|
||||
*/
|
||||
static HnswUpdate *
|
||||
CreateUpdate(HnswCandidate * hc, int level, int index)
|
||||
{
|
||||
HnswUpdate *update = palloc(sizeof(HnswUpdate));
|
||||
|
||||
update->hc = *hc;
|
||||
update->level = level;
|
||||
update->index = index;
|
||||
return update;
|
||||
}
|
||||
|
||||
/*
|
||||
* Update connections
|
||||
*/
|
||||
static void
|
||||
UpdateConnections(HnswElement element, List *neighbors, int m, int lc, List **updates, Relation index, FmgrInfo *procinfo, Oid collation)
|
||||
void
|
||||
HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int *updateIdx, Relation index, FmgrInfo *procinfo, Oid collation)
|
||||
{
|
||||
ListCell *lc2;
|
||||
HnswNeighborArray *currentNeighbors = &hc->element->neighbors[lc];
|
||||
|
||||
foreach(lc2, neighbors)
|
||||
HnswCandidate hc2;
|
||||
|
||||
hc2.element = element;
|
||||
hc2.distance = hc->distance;
|
||||
|
||||
if (currentNeighbors->length < m)
|
||||
{
|
||||
HnswCandidate *hc = (HnswCandidate *) lfirst(lc2);
|
||||
HnswNeighborArray *currentNeighbors = &hc->element->neighbors[lc];
|
||||
currentNeighbors->items[currentNeighbors->length++] = hc2;
|
||||
|
||||
HnswCandidate hc2;
|
||||
/* Track update */
|
||||
if (updateIdx != NULL)
|
||||
*updateIdx = -2;
|
||||
}
|
||||
else
|
||||
{
|
||||
/* Shrink connections */
|
||||
HnswCandidate *pruned = NULL;
|
||||
|
||||
hc2.element = element;
|
||||
hc2.distance = hc->distance;
|
||||
|
||||
if (currentNeighbors->length < m)
|
||||
/* Load elements on insert */
|
||||
if (index != NULL)
|
||||
{
|
||||
currentNeighbors->items[currentNeighbors->length++] = hc2;
|
||||
Datum q = hc->element->value;
|
||||
|
||||
/* Track updates */
|
||||
if (updates != NULL)
|
||||
*updates = lappend(*updates, CreateUpdate(hc, lc, currentNeighbors->length - 1));
|
||||
}
|
||||
else
|
||||
{
|
||||
/* Shrink connections */
|
||||
HnswCandidate *pruned = NULL;
|
||||
List *c = NIL;
|
||||
|
||||
/* Load elements on insert */
|
||||
if (index != NULL)
|
||||
{
|
||||
Datum q = PointerGetDatum(hc->element->vec);
|
||||
|
||||
for (int i = 0; i < currentNeighbors->length; i++)
|
||||
{
|
||||
HnswCandidate *hc3 = ¤tNeighbors->items[i];
|
||||
|
||||
if (hc3->element->vec == NULL)
|
||||
HnswLoadElement(hc3->element, &hc3->distance, &q, index, procinfo, collation, true);
|
||||
else
|
||||
hc3->distance = GetCandidateDistance(hc3, q, procinfo, collation);
|
||||
|
||||
/* Prune element if being deleted */
|
||||
if (list_length(hc3->element->heaptids) == 0)
|
||||
{
|
||||
pruned = ¤tNeighbors->items[i];
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (pruned == NULL)
|
||||
{
|
||||
/* Add and sort candidates */
|
||||
for (int i = 0; i < currentNeighbors->length; i++)
|
||||
c = lappend(c, ¤tNeighbors->items[i]);
|
||||
c = lappend(c, &hc2);
|
||||
list_sort(c, CompareCandidateDistances);
|
||||
|
||||
SelectNeighbors(c, m, lc, procinfo, collation, &pruned);
|
||||
|
||||
/* Should not happen */
|
||||
if (pruned == NULL)
|
||||
continue;
|
||||
}
|
||||
|
||||
/* Find and replace the pruned element */
|
||||
for (int i = 0; i < currentNeighbors->length; i++)
|
||||
{
|
||||
if (currentNeighbors->items[i].element == pruned->element)
|
||||
HnswCandidate *hc3 = ¤tNeighbors->items[i];
|
||||
|
||||
if (!hc3->element->loaded)
|
||||
HnswLoadElement(hc3->element, &hc3->distance, &q, index, procinfo, collation, true);
|
||||
else
|
||||
hc3->distance = GetCandidateDistance(hc3, q, procinfo, collation);
|
||||
|
||||
/* Prune element if being deleted */
|
||||
if (list_length(hc3->element->heaptids) == 0)
|
||||
{
|
||||
currentNeighbors->items[i] = hc2;
|
||||
|
||||
/* Track updates */
|
||||
if (updates != NULL)
|
||||
*updates = lappend(*updates, CreateUpdate(hc, lc, i));
|
||||
|
||||
pruned = ¤tNeighbors->items[i];
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (pruned == NULL)
|
||||
{
|
||||
List *c = NIL;
|
||||
|
||||
/* Add and sort candidates */
|
||||
for (int i = 0; i < currentNeighbors->length; i++)
|
||||
c = lappend(c, ¤tNeighbors->items[i]);
|
||||
c = lappend(c, &hc2);
|
||||
list_sort(c, CompareCandidateDistances);
|
||||
|
||||
SelectNeighbors(c, m, lc, procinfo, collation, &pruned);
|
||||
|
||||
/* Should not happen */
|
||||
if (pruned == NULL)
|
||||
return;
|
||||
}
|
||||
|
||||
/* Find and replace the pruned element */
|
||||
for (int i = 0; i < currentNeighbors->length; i++)
|
||||
{
|
||||
if (currentNeighbors->items[i].element == pruned->element)
|
||||
{
|
||||
currentNeighbors->items[i] = hc2;
|
||||
|
||||
/* Track update */
|
||||
if (updateIdx != NULL)
|
||||
*updateIdx = i;
|
||||
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/*
|
||||
* Remove elements being deleted or skipped
|
||||
*/
|
||||
static List *
|
||||
RemoveElements(List *w, HnswElement skipElement)
|
||||
{
|
||||
ListCell *lc2;
|
||||
List *w2 = NIL;
|
||||
|
||||
foreach(lc2, w)
|
||||
{
|
||||
HnswCandidate *hc = (HnswCandidate *) lfirst(lc2);
|
||||
|
||||
/* Skip self for vacuuming update */
|
||||
if (skipElement != NULL && hc->element->blkno == skipElement->blkno && hc->element->offno == skipElement->offno)
|
||||
continue;
|
||||
|
||||
if (list_length(hc->element->heaptids) != 0)
|
||||
w2 = lappend(w2, hc);
|
||||
}
|
||||
|
||||
return w2;
|
||||
}
|
||||
|
||||
/*
|
||||
* Algorithm 1 from paper
|
||||
*/
|
||||
HnswElement
|
||||
HnswInsertElement(HnswElement element, HnswElement entryPoint, Relation index, FmgrInfo *procinfo, Oid collation, int m, int efConstruction, List **updates, bool vacuuming)
|
||||
void
|
||||
HnswInsertElement(HnswElement element, HnswElement entryPoint, Relation index, FmgrInfo *procinfo, Oid collation, int m, int efConstruction, bool existing)
|
||||
{
|
||||
List *ep = NIL;
|
||||
List *ep;
|
||||
List *w;
|
||||
int level = element->level;
|
||||
int entryLevel;
|
||||
List **newNeighbors = palloc(sizeof(List *) * (level + 1));
|
||||
Datum q = PointerGetDatum(element->vec);
|
||||
HnswElement dup;
|
||||
BlockNumber *skipPage = vacuuming ? &element->neighborPage : NULL;
|
||||
OffsetNumber *skipOffno = vacuuming ? &element->neighborOffno : NULL;
|
||||
bool removeEntryPoint;
|
||||
HnswCandidate *entryCandidate;
|
||||
Datum q = element->value;
|
||||
HnswElement skipElement = existing ? element : NULL;
|
||||
|
||||
/* No neighbors if no entry point */
|
||||
if (entryPoint == NULL)
|
||||
return;
|
||||
|
||||
/* Get entry point and level */
|
||||
if (entryPoint != NULL)
|
||||
{
|
||||
entryCandidate = HnswEntryCandidate(entryPoint, q, index, procinfo, collation, true);
|
||||
ep = lappend(ep, entryCandidate);
|
||||
entryLevel = entryPoint->level;
|
||||
removeEntryPoint = vacuuming && list_length(entryPoint->heaptids) == 0;
|
||||
}
|
||||
else
|
||||
{
|
||||
entryLevel = -1;
|
||||
removeEntryPoint = false;
|
||||
}
|
||||
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, ep, 1, lc, index, procinfo, collation, true, skipPage, skipOffno);
|
||||
w = HnswSearchLayer(q, ep, 1, lc, index, procinfo, collation, m, true, skipElement);
|
||||
ep = w;
|
||||
}
|
||||
|
||||
if (level > entryLevel)
|
||||
level = entryLevel;
|
||||
|
||||
/* Add one for existing element */
|
||||
if (existing)
|
||||
efConstruction++;
|
||||
|
||||
/* 2nd phase */
|
||||
for (int lc = level; lc >= 0; lc--)
|
||||
{
|
||||
int lm = HnswGetLayerM(m, lc);
|
||||
List *neighbors;
|
||||
List *lw;
|
||||
|
||||
w = HnswSearchLayer(q, ep, efConstruction, lc, index, procinfo, collation, true, skipPage, skipOffno);
|
||||
w = HnswSearchLayer(q, ep, efConstruction, lc, index, procinfo, collation, m, true, skipElement);
|
||||
|
||||
/* Remove entry point if it's being deleted */
|
||||
if (removeEntryPoint)
|
||||
w = list_delete_ptr(w, entryCandidate);
|
||||
/* Elements being deleted or skipped can help with search */
|
||||
/* but should be removed before selecting neighbors */
|
||||
if (index != NULL)
|
||||
lw = RemoveElements(w, skipElement);
|
||||
else
|
||||
lw = w;
|
||||
|
||||
neighbors = SelectNeighbors(lw, lm, lc, procinfo, collation, NULL);
|
||||
|
||||
AddConnections(element, neighbors, lm, lc);
|
||||
|
||||
newNeighbors[lc] = SelectNeighbors(w, lm, lc, procinfo, collation, NULL);
|
||||
ep = w;
|
||||
}
|
||||
|
||||
/* Look for duplicate */
|
||||
if (level >= 0 && !vacuuming)
|
||||
{
|
||||
dup = HnswFindDuplicate(element, newNeighbors[0]);
|
||||
if (dup != NULL)
|
||||
return dup;
|
||||
}
|
||||
|
||||
/* Update connections */
|
||||
for (int lc = level; lc >= 0; lc--)
|
||||
{
|
||||
int lm = HnswGetLayerM(m, lc);
|
||||
|
||||
AddConnections(element, newNeighbors[lc], lm, lc);
|
||||
|
||||
if (!vacuuming)
|
||||
UpdateConnections(element, newNeighbors[lc], lm, lc, updates, index, procinfo, collation);
|
||||
}
|
||||
|
||||
return NULL;
|
||||
}
|
||||
|
||||
206
src/hnswvacuum.c
206
src/hnswvacuum.c
@@ -5,10 +5,11 @@
|
||||
#include "commands/vacuum.h"
|
||||
#include "hnsw.h"
|
||||
#include "storage/bufmgr.h"
|
||||
#include "storage/lmgr.h"
|
||||
#include "utils/memutils.h"
|
||||
|
||||
/*
|
||||
* Check if deleted list contains an index tid
|
||||
* Check if deleted list contains an index TID
|
||||
*/
|
||||
static bool
|
||||
DeletedContains(HTAB *deleted, ItemPointer indextid)
|
||||
@@ -32,6 +33,7 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
|
||||
Relation index = vacuumstate->index;
|
||||
BufferAccessStrategy bas = vacuumstate->bas;
|
||||
HnswElement entryPoint = HnswGetEntryPoint(vacuumstate->index);
|
||||
IndexBulkDeleteResult *stats = vacuumstate->stats;
|
||||
|
||||
/* Store separately since highestPoint.level is uint8 */
|
||||
int highestLevel = -1;
|
||||
@@ -77,17 +79,21 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
|
||||
break;
|
||||
|
||||
if (vacuumstate->callback(&etup->heaptids[i], vacuumstate->callback_state))
|
||||
{
|
||||
itemUpdated = true;
|
||||
stats->tuples_removed++;
|
||||
}
|
||||
else
|
||||
{
|
||||
/* Move to front of list */
|
||||
etup->heaptids[idx++] = etup->heaptids[i];
|
||||
stats->num_index_tuples++;
|
||||
}
|
||||
}
|
||||
|
||||
if (itemUpdated)
|
||||
{
|
||||
Size etupSize = HNSW_ELEMENT_TUPLE_SIZE(etup->vec.dim);
|
||||
Size etupSize = HNSW_ELEMENT_TUPLE_SIZE(PointerGetDatum(&etup->value));
|
||||
|
||||
/* Mark rest as invalid */
|
||||
for (int i = idx; i < HNSW_HEAPTIDS; i++)
|
||||
@@ -109,7 +115,7 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
|
||||
|
||||
(void) hash_search(vacuumstate->deleted, &ip, HASH_ENTER, NULL);
|
||||
}
|
||||
else if (etup->level > highestLevel && !(blkno == entryPoint->blkno && offno == entryPoint->offno))
|
||||
else if (etup->level > highestLevel && !(entryPoint != NULL && blkno == entryPoint->blkno && offno == entryPoint->offno))
|
||||
{
|
||||
/* Keep track of highest non-entry point */
|
||||
highestPoint->blkno = blkno;
|
||||
@@ -169,6 +175,11 @@ NeedsUpdated(HnswVacuumState * vacuumstate, HnswElement element)
|
||||
}
|
||||
}
|
||||
|
||||
/* Also update if layer 0 is not full */
|
||||
/* This could indicate too many candidates being deleted during insert */
|
||||
if (!needsUpdated)
|
||||
needsUpdated = !ItemPointerIsValid(&ntup->indextids[ntup->count - 1]);
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
|
||||
return needsUpdated;
|
||||
@@ -178,7 +189,7 @@ NeedsUpdated(HnswVacuumState * vacuumstate, HnswElement element)
|
||||
* Repair graph for a single element
|
||||
*/
|
||||
static void
|
||||
RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element)
|
||||
RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswElement entryPoint)
|
||||
{
|
||||
Relation index = vacuumstate->index;
|
||||
Buffer buf;
|
||||
@@ -188,42 +199,20 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element)
|
||||
int efConstruction = vacuumstate->efConstruction;
|
||||
FmgrInfo *procinfo = vacuumstate->procinfo;
|
||||
Oid collation = vacuumstate->collation;
|
||||
HnswElement entryPoint;
|
||||
BufferAccessStrategy bas = vacuumstate->bas;
|
||||
HnswNeighborTuple ntup = vacuumstate->ntup;
|
||||
Size ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(element->level, m);
|
||||
|
||||
/* Check if any neighbors point to deleted values */
|
||||
if (!NeedsUpdated(vacuumstate, element))
|
||||
/* Skip if element is entry point */
|
||||
if (entryPoint != NULL && element->blkno == entryPoint->blkno && element->offno == entryPoint->offno)
|
||||
return;
|
||||
|
||||
/* Refresh entry point for each element */
|
||||
entryPoint = HnswGetEntryPoint(index);
|
||||
|
||||
/* Special case for entry point */
|
||||
if (element->blkno == entryPoint->blkno && element->offno == entryPoint->offno)
|
||||
{
|
||||
if (BlockNumberIsValid(vacuumstate->highestPoint.blkno))
|
||||
{
|
||||
/* Already updated */
|
||||
if (vacuumstate->highestPoint.blkno == element->blkno && vacuumstate->highestPoint.offno == element->offno)
|
||||
return;
|
||||
|
||||
entryPoint = &vacuumstate->highestPoint;
|
||||
|
||||
/* Reset neighbors from previous update */
|
||||
entryPoint->neighbors = NULL;
|
||||
}
|
||||
else
|
||||
entryPoint = NULL;
|
||||
}
|
||||
|
||||
/* Init fields */
|
||||
HnswInitNeighbors(element, m);
|
||||
element->heaptids = NIL;
|
||||
|
||||
/* Add element to graph, skipping itself */
|
||||
HnswInsertElement(element, entryPoint, index, procinfo, collation, m, efConstruction, NULL, true);
|
||||
HnswInsertElement(element, entryPoint, index, procinfo, collation, m, efConstruction, true);
|
||||
|
||||
/* Update neighbor tuple */
|
||||
/* Do this before getting page to minimize locking */
|
||||
@@ -243,6 +232,9 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element)
|
||||
MarkBufferDirty(buf);
|
||||
GenericXLogFinish(state);
|
||||
UnlockReleaseBuffer(buf);
|
||||
|
||||
/* Update neighbors */
|
||||
HnswUpdateNeighborPages(index, procinfo, collation, element, m, true);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -256,16 +248,35 @@ RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
|
||||
HnswElement entryPoint;
|
||||
MemoryContext oldCtx = MemoryContextSwitchTo(vacuumstate->tmpCtx);
|
||||
|
||||
/* Repair graph for highest non-entry point */
|
||||
/* This may not be the highest with new inserts, but should be fine */
|
||||
if (BlockNumberIsValid(highestPoint->blkno))
|
||||
if (!BlockNumberIsValid(highestPoint->blkno))
|
||||
highestPoint = NULL;
|
||||
|
||||
/*
|
||||
* Repair graph for highest non-entry point. Highest point may be outdated
|
||||
* due to inserts that happen during and after RemoveHeapTids.
|
||||
*/
|
||||
if (highestPoint != NULL)
|
||||
{
|
||||
/* Get a shared lock */
|
||||
LockPage(index, HNSW_UPDATE_LOCK, ShareLock);
|
||||
|
||||
/* Load element */
|
||||
HnswLoadElement(highestPoint, NULL, NULL, index, vacuumstate->procinfo, vacuumstate->collation, true);
|
||||
RepairGraphElement(vacuumstate, highestPoint);
|
||||
|
||||
/* Repair if needed */
|
||||
if (NeedsUpdated(vacuumstate, highestPoint))
|
||||
RepairGraphElement(vacuumstate, highestPoint, HnswGetEntryPoint(index));
|
||||
|
||||
/* Release lock */
|
||||
UnlockPage(index, HNSW_UPDATE_LOCK, ShareLock);
|
||||
}
|
||||
|
||||
/* See if entry point needs updated */
|
||||
/* Prevent concurrent inserts when possibly updating entry point */
|
||||
LockPage(index, HNSW_UPDATE_LOCK, ExclusiveLock);
|
||||
|
||||
/* Get latest entry point */
|
||||
entryPoint = HnswGetEntryPoint(index);
|
||||
|
||||
if (entryPoint != NULL)
|
||||
{
|
||||
ItemPointerData epData;
|
||||
@@ -273,15 +284,37 @@ RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
|
||||
ItemPointerSet(&epData, entryPoint->blkno, entryPoint->offno);
|
||||
|
||||
if (DeletedContains(vacuumstate->deleted, &epData))
|
||||
HnswUpdateMetaPage(index, true, highestPoint, InvalidBlockNumber, MAIN_FORKNUM);
|
||||
{
|
||||
/*
|
||||
* Replace the entry point with the highest point. If highest
|
||||
* 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);
|
||||
}
|
||||
else
|
||||
{
|
||||
/* Highest point will be used to repair */
|
||||
/*
|
||||
* Repair the entry point with the highest point. If highest point
|
||||
* 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, index, vacuumstate->procinfo, vacuumstate->collation, true);
|
||||
RepairGraphElement(vacuumstate, entryPoint);
|
||||
|
||||
if (NeedsUpdated(vacuumstate, entryPoint))
|
||||
{
|
||||
/* Reset neighbors from previous update */
|
||||
if (highestPoint != NULL)
|
||||
highestPoint->neighbors = NULL;
|
||||
|
||||
RepairGraphElement(vacuumstate, entryPoint, highestPoint);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/* Release lock */
|
||||
UnlockPage(index, HNSW_UPDATE_LOCK, ExclusiveLock);
|
||||
|
||||
/* Reset memory context */
|
||||
MemoryContextSwitchTo(oldCtx);
|
||||
MemoryContextReset(vacuumstate->tmpCtx);
|
||||
@@ -297,6 +330,14 @@ RepairGraph(HnswVacuumState * vacuumstate)
|
||||
BufferAccessStrategy bas = vacuumstate->bas;
|
||||
BlockNumber blkno = HNSW_HEAD_BLKNO;
|
||||
|
||||
/*
|
||||
* Wait for inserts to complete. Inserts before this point may have
|
||||
* neighbors about to be deleted. Inserts after this point will not.
|
||||
*/
|
||||
LockPage(index, HNSW_UPDATE_LOCK, ExclusiveLock);
|
||||
UnlockPage(index, HNSW_UPDATE_LOCK, ExclusiveLock);
|
||||
|
||||
/* Repair entry point first */
|
||||
RepairGraphEntryPoint(vacuumstate);
|
||||
|
||||
while (BlockNumberIsValid(blkno))
|
||||
@@ -333,14 +374,8 @@ RepairGraph(HnswVacuumState * vacuumstate)
|
||||
continue;
|
||||
|
||||
/* Create an element */
|
||||
element = palloc(sizeof(HnswElementData));
|
||||
element->neighborPage = ItemPointerGetBlockNumber(&etup->neighbortid);
|
||||
element->neighborOffno = ItemPointerGetOffsetNumber(&etup->neighbortid);
|
||||
element->level = etup->level;
|
||||
element->blkno = blkno;
|
||||
element->offno = offno;
|
||||
element->vec = palloc(VECTOR_SIZE(etup->vec.dim));
|
||||
memcpy(element->vec, &etup->vec, VECTOR_SIZE(etup->vec.dim));
|
||||
element = HnswInitElementFromBlock(blkno, offno);
|
||||
HnswLoadElementFromTuple(element, etup, false, true);
|
||||
|
||||
elements = lappend(elements, element);
|
||||
}
|
||||
@@ -351,7 +386,48 @@ RepairGraph(HnswVacuumState * vacuumstate)
|
||||
|
||||
/* Update neighbor pages */
|
||||
foreach(lc2, elements)
|
||||
RepairGraphElement(vacuumstate, (HnswElement) lfirst(lc2));
|
||||
{
|
||||
HnswElement element = (HnswElement) lfirst(lc2);
|
||||
HnswElement entryPoint;
|
||||
LOCKMODE lockmode = ShareLock;
|
||||
|
||||
/* Check if any neighbors point to deleted values */
|
||||
if (!NeedsUpdated(vacuumstate, element))
|
||||
continue;
|
||||
|
||||
/* Get a shared lock */
|
||||
LockPage(index, HNSW_UPDATE_LOCK, lockmode);
|
||||
|
||||
/* Refresh entry point for each element */
|
||||
entryPoint = HnswGetEntryPoint(index);
|
||||
|
||||
/* Prevent concurrent inserts when likely updating entry point */
|
||||
if (entryPoint == NULL || element->level > entryPoint->level)
|
||||
{
|
||||
/* Release shared lock */
|
||||
UnlockPage(index, HNSW_UPDATE_LOCK, lockmode);
|
||||
|
||||
/* Get exclusive lock */
|
||||
lockmode = ExclusiveLock;
|
||||
LockPage(index, HNSW_UPDATE_LOCK, lockmode);
|
||||
|
||||
/* Get latest entry point after lock is acquired */
|
||||
entryPoint = HnswGetEntryPoint(index);
|
||||
}
|
||||
|
||||
/* Repair connections */
|
||||
RepairGraphElement(vacuumstate, element, entryPoint);
|
||||
|
||||
/*
|
||||
* Update metapage if needed. Should only happen if entry point
|
||||
* was replaced and highest point was outdated.
|
||||
*/
|
||||
if (entryPoint == NULL || element->level > entryPoint->level)
|
||||
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_GREATER, element, InvalidBlockNumber, MAIN_FORKNUM);
|
||||
|
||||
/* Release lock */
|
||||
UnlockPage(index, HNSW_UPDATE_LOCK, lockmode);
|
||||
}
|
||||
|
||||
/* Reset memory context */
|
||||
MemoryContextSwitchTo(oldCtx);
|
||||
@@ -369,7 +445,14 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
BlockNumber insertPage = InvalidBlockNumber;
|
||||
Relation index = vacuumstate->index;
|
||||
BufferAccessStrategy bas = vacuumstate->bas;
|
||||
IndexBulkDeleteResult *stats = vacuumstate->stats;
|
||||
|
||||
/*
|
||||
* Wait for index scans to complete. Scans before this point may contain
|
||||
* tuples about to be deleted. Scans after this point will not, since the
|
||||
* graph has been repaired.
|
||||
*/
|
||||
LockPage(index, HNSW_SCAN_LOCK, ExclusiveLock);
|
||||
UnlockPage(index, HNSW_SCAN_LOCK, ExclusiveLock);
|
||||
|
||||
while (BlockNumberIsValid(blkno))
|
||||
{
|
||||
@@ -402,6 +485,7 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
HnswNeighborTuple ntup;
|
||||
Size etupSize;
|
||||
Size ntupSize;
|
||||
Datum value;
|
||||
Buffer nbuf;
|
||||
Page npage;
|
||||
BlockNumber neighborPage;
|
||||
@@ -413,20 +497,23 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
|
||||
/* Skip deleted tuples */
|
||||
if (etup->deleted)
|
||||
continue;
|
||||
|
||||
/* Skip live tuples */
|
||||
if (ItemPointerIsValid(&etup->heaptids[0]))
|
||||
{
|
||||
stats->num_index_tuples++;
|
||||
/* Set to first free page */
|
||||
if (!BlockNumberIsValid(insertPage))
|
||||
insertPage = blkno;
|
||||
|
||||
continue;
|
||||
}
|
||||
|
||||
/* Update stats */
|
||||
stats->tuples_removed++;
|
||||
/* Skip live tuples */
|
||||
if (ItemPointerIsValid(&etup->heaptids[0]))
|
||||
continue;
|
||||
|
||||
/* Get datum */
|
||||
value = PointerGetDatum(&etup->value);
|
||||
|
||||
/* Calculate sizes */
|
||||
etupSize = HNSW_ELEMENT_TUPLE_SIZE(etup->vec.dim);
|
||||
etupSize = HNSW_ELEMENT_TUPLE_SIZE(value);
|
||||
ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(etup->level, vacuumstate->m);
|
||||
|
||||
/* Get neighbor page */
|
||||
@@ -449,7 +536,7 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
|
||||
/* Overwrite element */
|
||||
etup->deleted = 1;
|
||||
MemSet(&etup->vec.x, 0, etup->vec.dim * sizeof(float));
|
||||
MemSet(&etup->value, 0, VARSIZE_ANY(value));
|
||||
|
||||
/* Overwrite neighbors */
|
||||
for (int i = 0; i < ntup->count; i++)
|
||||
@@ -486,7 +573,8 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
|
||||
HnswUpdateMetaPage(index, false, NULL, insertPage, MAIN_FORKNUM);
|
||||
/* Update insert page last, after everything has been marked as deleted */
|
||||
HnswUpdateMetaPage(index, 0, NULL, insertPage, MAIN_FORKNUM);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -505,7 +593,6 @@ InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkD
|
||||
vacuumstate->stats = stats;
|
||||
vacuumstate->callback = callback;
|
||||
vacuumstate->callback_state = callback_state;
|
||||
vacuumstate->m = HnswGetM(index);
|
||||
vacuumstate->efConstruction = HnswGetEfConstruction(index);
|
||||
vacuumstate->bas = GetAccessStrategy(BAS_BULKREAD);
|
||||
vacuumstate->procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
||||
@@ -515,6 +602,9 @@ InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkD
|
||||
"Hnsw vacuum temporary context",
|
||||
ALLOCSET_DEFAULT_SIZES);
|
||||
|
||||
/* Get m from metapage */
|
||||
HnswGetMetaPageInfo(index, &vacuumstate->m, NULL);
|
||||
|
||||
/* Create hash table */
|
||||
hash_ctl.keysize = sizeof(ItemPointerData);
|
||||
hash_ctl.entrysize = sizeof(ItemPointerData);
|
||||
|
||||
@@ -10,8 +10,8 @@
|
||||
#include "ivfflat.h"
|
||||
#include "miscadmin.h"
|
||||
#include "storage/bufmgr.h"
|
||||
#include "utils/memutils.h"
|
||||
#include "tcop/tcopprot.h"
|
||||
#include "utils/memutils.h"
|
||||
|
||||
#if PG_VERSION_NUM >= 140000
|
||||
#include "utils/backend_progress.h"
|
||||
@@ -75,7 +75,11 @@ AddSample(Datum *values, IvfflatBuildState * buildstate)
|
||||
* Normalize with KMEANS_NORM_PROC since spherical distance function
|
||||
* expects unit vectors
|
||||
*/
|
||||
IvfflatNormValue(buildstate->kmeansnormprocinfo, buildstate->kmeansnormalizeprocinfo, buildstate->collation, &value, buildstate->normvec);
|
||||
if (buildstate->kmeansnormprocinfo != NULL)
|
||||
{
|
||||
if (!IvfflatNormValue(buildstate->kmeansnormprocinfo, buildstate->collation, &value, buildstate->normvec))
|
||||
return;
|
||||
}
|
||||
|
||||
if (samples->length < targsamples)
|
||||
{
|
||||
@@ -172,7 +176,11 @@ AddTupleToSort(Relation index, ItemPointer tid, Datum *values, IvfflatBuildState
|
||||
Datum value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
|
||||
|
||||
/* Normalize if needed */
|
||||
IvfflatNormValue(buildstate->normprocinfo, buildstate->normalizeprocinfo, buildstate->collation, &value, buildstate->normvec);
|
||||
if (buildstate->normprocinfo != NULL)
|
||||
{
|
||||
if (!IvfflatNormValue(buildstate->normprocinfo, buildstate->collation, &value, buildstate->normvec))
|
||||
return;
|
||||
}
|
||||
|
||||
/* Find the list that minimizes the distance */
|
||||
for (int i = 0; i < centers->length; i++)
|
||||
@@ -360,8 +368,6 @@ InitBuildState(IvfflatBuildState * buildstate, Relation heap, Relation index, In
|
||||
buildstate->procinfo = index_getprocinfo(index, 1, IVFFLAT_DISTANCE_PROC);
|
||||
buildstate->normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC);
|
||||
buildstate->kmeansnormprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_KMEANS_NORM_PROC);
|
||||
buildstate->normalizeprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORMALIZE_PROC);
|
||||
buildstate->kmeansnormalizeprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_KMEANS_NORMALIZE_PROC);
|
||||
buildstate->collation = index->rd_indcollation[0];
|
||||
|
||||
/* Require more than one dimension for spherical k-means */
|
||||
@@ -500,29 +506,30 @@ CreateListPages(Relation index, VectorArray centers, int dimensions,
|
||||
Buffer buf;
|
||||
Page page;
|
||||
GenericXLogState *state;
|
||||
OffsetNumber offno;
|
||||
Size itemsz;
|
||||
IvfflatList list;
|
||||
|
||||
itemsz = MAXALIGN(IVFFLAT_LIST_SIZE(dimensions));
|
||||
list = palloc(itemsz);
|
||||
list = palloc0(BLCKSZ);
|
||||
|
||||
buf = IvfflatNewBuffer(index, forkNum);
|
||||
IvfflatInitRegisterPage(index, &buf, &page, &state);
|
||||
|
||||
for (int i = 0; i < lists; i++)
|
||||
{
|
||||
OffsetNumber offno;
|
||||
Datum center = PointerGetDatum(VectorArrayGet(centers, i));
|
||||
Size listSize = MAXALIGN(IVFFLAT_LIST_SIZE(center));
|
||||
|
||||
/* Load list */
|
||||
list->startPage = InvalidBlockNumber;
|
||||
list->insertPage = InvalidBlockNumber;
|
||||
memcpy(&list->center, VectorArrayGet(centers, i), VECTOR_SIZE(dimensions));
|
||||
memcpy(&list->center, DatumGetPointer(center), VARSIZE_ANY(center));
|
||||
|
||||
/* Ensure free space */
|
||||
if (PageGetFreeSpace(page) < itemsz)
|
||||
if (PageGetFreeSpace(page) < listSize)
|
||||
IvfflatAppendPage(index, &buf, &page, &state, forkNum);
|
||||
|
||||
/* Add the item */
|
||||
offno = PageAddItem(page, (Item) list, itemsz, InvalidOffsetNumber, false, false);
|
||||
offno = PageAddItem(page, (Item) list, listSize, InvalidOffsetNumber, false, false);
|
||||
if (offno == InvalidOffsetNumber)
|
||||
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
|
||||
|
||||
|
||||
@@ -24,7 +24,7 @@ IvfflatInit(void)
|
||||
{
|
||||
ivfflat_relopt_kind = add_reloption_kind();
|
||||
add_int_reloption(ivfflat_relopt_kind, "lists", "Number of inverted lists",
|
||||
IVFFLAT_DEFAULT_LISTS, 1, IVFFLAT_MAX_LISTS
|
||||
IVFFLAT_DEFAULT_LISTS, IVFFLAT_MIN_LISTS, IVFFLAT_MAX_LISTS
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
,AccessExclusiveLock
|
||||
#endif
|
||||
@@ -32,7 +32,7 @@ IvfflatInit(void)
|
||||
|
||||
DefineCustomIntVariable("ivfflat.probes", "Sets the number of probes",
|
||||
"Valid range is 1..lists.", &ivfflat_probes,
|
||||
1, 1, IVFFLAT_MAX_LISTS, PGC_USERSET, 0, NULL, NULL, NULL);
|
||||
IVFFLAT_DEFAULT_PROBES, IVFFLAT_MIN_LISTS, IVFFLAT_MAX_LISTS, PGC_USERSET, 0, NULL, NULL, NULL);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -71,7 +71,7 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
||||
int lists;
|
||||
double ratio;
|
||||
double spc_seq_page_cost;
|
||||
Relation indexRel;
|
||||
Relation index;
|
||||
#if PG_VERSION_NUM < 120000
|
||||
List *qinfos;
|
||||
#endif
|
||||
@@ -89,9 +89,9 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
||||
|
||||
MemSet(&costs, 0, sizeof(costs));
|
||||
|
||||
indexRel = index_open(path->indexinfo->indexoid, NoLock);
|
||||
lists = IvfflatGetLists(indexRel);
|
||||
index_close(indexRel, NoLock);
|
||||
index = index_open(path->indexinfo->indexoid, NoLock);
|
||||
IvfflatGetMetaPageInfo(index, &lists, NULL);
|
||||
index_close(index, NoLock);
|
||||
|
||||
/* Get the ratio of lists that we need to visit */
|
||||
ratio = ((double) ivfflat_probes) / lists;
|
||||
@@ -194,7 +194,7 @@ ivfflathandler(PG_FUNCTION_ARGS)
|
||||
IndexAmRoutine *amroutine = makeNode(IndexAmRoutine);
|
||||
|
||||
amroutine->amstrategies = 0;
|
||||
amroutine->amsupport = 6;
|
||||
amroutine->amsupport = 4;
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
amroutine->amoptsprocnum = 0;
|
||||
#endif
|
||||
|
||||
@@ -31,8 +31,6 @@
|
||||
#define IVFFLAT_NORM_PROC 2
|
||||
#define IVFFLAT_KMEANS_DISTANCE_PROC 3
|
||||
#define IVFFLAT_KMEANS_NORM_PROC 4
|
||||
#define IVFFLAT_NORMALIZE_PROC 5
|
||||
#define IVFFLAT_KMEANS_NORMALIZE_PROC 6
|
||||
|
||||
#define IVFFLAT_VERSION 1
|
||||
#define IVFFLAT_MAGIC_NUMBER 0x14FF1A7
|
||||
@@ -42,8 +40,11 @@
|
||||
#define IVFFLAT_METAPAGE_BLKNO 0
|
||||
#define IVFFLAT_HEAD_BLKNO 1 /* first list page */
|
||||
|
||||
/* IVFFlat parameters */
|
||||
#define IVFFLAT_DEFAULT_LISTS 100
|
||||
#define IVFFLAT_MIN_LISTS 1
|
||||
#define IVFFLAT_MAX_LISTS 32768
|
||||
#define IVFFLAT_DEFAULT_PROBES 1
|
||||
|
||||
/* Build phases */
|
||||
/* PROGRESS_CREATEIDX_SUBPHASE_INITIALIZE is 1 */
|
||||
@@ -51,7 +52,7 @@
|
||||
#define PROGRESS_IVFFLAT_PHASE_ASSIGN 3
|
||||
#define PROGRESS_IVFFLAT_PHASE_LOAD 4
|
||||
|
||||
#define IVFFLAT_LIST_SIZE(_dim) (offsetof(IvfflatListData, center) + VECTOR_SIZE(_dim))
|
||||
#define IVFFLAT_LIST_SIZE(_datum) (offsetof(IvfflatListData, center) + VARSIZE_ANY(_datum))
|
||||
|
||||
#define IvfflatPageGetOpaque(page) ((IvfflatPageOpaque) PageGetSpecialPointer(page))
|
||||
#define IvfflatPageGetMeta(page) ((IvfflatMetaPageData *) PageGetContents(page))
|
||||
@@ -174,8 +175,6 @@ typedef struct IvfflatBuildState
|
||||
FmgrInfo *procinfo;
|
||||
FmgrInfo *normprocinfo;
|
||||
FmgrInfo *kmeansnormprocinfo;
|
||||
FmgrInfo *normalizeprocinfo;
|
||||
FmgrInfo *kmeansnormalizeprocinfo;
|
||||
Oid collation;
|
||||
|
||||
/* Variables */
|
||||
@@ -230,7 +229,7 @@ typedef struct IvfflatListData
|
||||
{
|
||||
BlockNumber startPage;
|
||||
BlockNumber insertPage;
|
||||
Vector center;
|
||||
char center[FLEXIBLE_ARRAY_MEMBER];
|
||||
} IvfflatListData;
|
||||
|
||||
typedef IvfflatListData * IvfflatList;
|
||||
@@ -245,8 +244,10 @@ typedef struct IvfflatScanList
|
||||
typedef struct IvfflatScanOpaqueData
|
||||
{
|
||||
int probes;
|
||||
int dimensions;
|
||||
bool first;
|
||||
Buffer buf;
|
||||
ItemPointerData heaptid;
|
||||
|
||||
/* Sorting */
|
||||
Tuplesortstate *sortstate;
|
||||
@@ -257,7 +258,6 @@ typedef struct IvfflatScanOpaqueData
|
||||
/* Support functions */
|
||||
FmgrInfo *procinfo;
|
||||
FmgrInfo *normprocinfo;
|
||||
FmgrInfo *normalizeprocinfo;
|
||||
Oid collation;
|
||||
|
||||
/* Lists */
|
||||
@@ -277,9 +277,10 @@ VectorArray VectorArrayInit(int maxlen, int dimensions);
|
||||
void VectorArrayFree(VectorArray arr);
|
||||
void PrintVectorArray(char *msg, VectorArray arr);
|
||||
void IvfflatKmeans(Relation index, VectorArray samples, VectorArray centers);
|
||||
FmgrInfo *IvfflatOptionalProcInfo(Relation rel, uint16 procnum);
|
||||
void IvfflatNormValue(FmgrInfo *procinfo, FmgrInfo *normalizeprocinfo, Oid collation, Datum *value, Vector * result);
|
||||
FmgrInfo *IvfflatOptionalProcInfo(Relation index, uint16 procnum);
|
||||
bool IvfflatNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result);
|
||||
int IvfflatGetLists(Relation index);
|
||||
void IvfflatGetMetaPageInfo(Relation index, int *lists, int *dimensions);
|
||||
void IvfflatUpdateList(Relation index, ListInfo listInfo, BlockNumber insertPage, BlockNumber originalInsertPage, BlockNumber startPage, ForkNumber forkNum);
|
||||
void IvfflatCommitBuffer(Buffer buf, GenericXLogState *state);
|
||||
void IvfflatAppendPage(Relation index, Buffer *buf, Page *page, GenericXLogState **state, ForkNumber forkNum);
|
||||
|
||||
@@ -11,36 +11,37 @@
|
||||
* Find the list that minimizes the distance function
|
||||
*/
|
||||
static void
|
||||
FindInsertPage(Relation rel, Datum *values, BlockNumber *insertPage, ListInfo * listInfo)
|
||||
FindInsertPage(Relation index, Datum *values, BlockNumber *insertPage, ListInfo * listInfo)
|
||||
{
|
||||
Buffer cbuf;
|
||||
Page cpage;
|
||||
IvfflatList list;
|
||||
double distance;
|
||||
double minDistance = DBL_MAX;
|
||||
BlockNumber nextblkno = IVFFLAT_HEAD_BLKNO;
|
||||
FmgrInfo *procinfo;
|
||||
Oid collation;
|
||||
OffsetNumber offno;
|
||||
OffsetNumber maxoffno;
|
||||
|
||||
/* Avoid compiler warning */
|
||||
listInfo->blkno = nextblkno;
|
||||
listInfo->offno = FirstOffsetNumber;
|
||||
|
||||
procinfo = index_getprocinfo(rel, 1, IVFFLAT_DISTANCE_PROC);
|
||||
collation = rel->rd_indcollation[0];
|
||||
procinfo = index_getprocinfo(index, 1, IVFFLAT_DISTANCE_PROC);
|
||||
collation = index->rd_indcollation[0];
|
||||
|
||||
/* Search all list pages */
|
||||
while (BlockNumberIsValid(nextblkno))
|
||||
{
|
||||
cbuf = ReadBuffer(rel, nextblkno);
|
||||
Buffer cbuf;
|
||||
Page cpage;
|
||||
OffsetNumber maxoffno;
|
||||
|
||||
cbuf = ReadBuffer(index, nextblkno);
|
||||
LockBuffer(cbuf, BUFFER_LOCK_SHARE);
|
||||
cpage = BufferGetPage(cbuf);
|
||||
maxoffno = PageGetMaxOffsetNumber(cpage);
|
||||
|
||||
for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
|
||||
for (OffsetNumber offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
|
||||
{
|
||||
IvfflatList list;
|
||||
double distance;
|
||||
|
||||
list = (IvfflatList) PageGetItem(cpage, PageGetItemId(cpage, offno));
|
||||
distance = DatumGetFloat8(FunctionCall2Coll(procinfo, collation, values[0], PointerGetDatum(&list->center)));
|
||||
|
||||
@@ -63,12 +64,11 @@ FindInsertPage(Relation rel, Datum *values, BlockNumber *insertPage, ListInfo *
|
||||
* Insert a tuple into the index
|
||||
*/
|
||||
static void
|
||||
InsertTuple(Relation rel, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel)
|
||||
InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel)
|
||||
{
|
||||
IndexTuple itup;
|
||||
Datum value;
|
||||
FmgrInfo *normprocinfo;
|
||||
FmgrInfo *normalizeprocinfo;
|
||||
Buffer buf;
|
||||
Page page;
|
||||
GenericXLogState *state;
|
||||
@@ -81,17 +81,20 @@ InsertTuple(Relation rel, Datum *values, bool *isnull, ItemPointer heap_tid, Rel
|
||||
value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
|
||||
|
||||
/* Normalize if needed */
|
||||
normprocinfo = IvfflatOptionalProcInfo(rel, IVFFLAT_NORM_PROC);
|
||||
normalizeprocinfo = IvfflatOptionalProcInfo(rel, IVFFLAT_NORMALIZE_PROC);
|
||||
IvfflatNormValue(normprocinfo, normalizeprocinfo, rel->rd_indcollation[0], &value, NULL);
|
||||
normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC);
|
||||
if (normprocinfo != NULL)
|
||||
{
|
||||
if (!IvfflatNormValue(normprocinfo, index->rd_indcollation[0], &value, NULL))
|
||||
return;
|
||||
}
|
||||
|
||||
/* Find the insert page - sets the page and list info */
|
||||
FindInsertPage(rel, values, &insertPage, &listInfo);
|
||||
FindInsertPage(index, values, &insertPage, &listInfo);
|
||||
Assert(BlockNumberIsValid(insertPage));
|
||||
originalInsertPage = insertPage;
|
||||
|
||||
/* Form tuple */
|
||||
itup = index_form_tuple(RelationGetDescr(rel), &value, isnull);
|
||||
itup = index_form_tuple(RelationGetDescr(index), &value, isnull);
|
||||
itup->t_tid = *heap_tid;
|
||||
|
||||
/* Get tuple size */
|
||||
@@ -101,10 +104,10 @@ InsertTuple(Relation rel, Datum *values, bool *isnull, ItemPointer heap_tid, Rel
|
||||
/* Find a page to insert the item */
|
||||
for (;;)
|
||||
{
|
||||
buf = ReadBuffer(rel, insertPage);
|
||||
buf = ReadBuffer(index, insertPage);
|
||||
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
|
||||
|
||||
state = GenericXLogStart(rel);
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
|
||||
if (PageGetFreeSpace(page) >= itemsz)
|
||||
@@ -124,9 +127,9 @@ InsertTuple(Relation rel, Datum *values, bool *isnull, ItemPointer heap_tid, Rel
|
||||
Page newpage;
|
||||
|
||||
/* Add a new page */
|
||||
LockRelationForExtension(rel, ExclusiveLock);
|
||||
newbuf = IvfflatNewBuffer(rel, MAIN_FORKNUM);
|
||||
UnlockRelationForExtension(rel, ExclusiveLock);
|
||||
LockRelationForExtension(index, ExclusiveLock);
|
||||
newbuf = IvfflatNewBuffer(index, MAIN_FORKNUM);
|
||||
UnlockRelationForExtension(index, ExclusiveLock);
|
||||
|
||||
/* Init new page */
|
||||
newpage = GenericXLogRegisterBuffer(state, newbuf, GENERIC_XLOG_FULL_IMAGE);
|
||||
@@ -147,7 +150,7 @@ InsertTuple(Relation rel, Datum *values, bool *isnull, ItemPointer heap_tid, Rel
|
||||
UnlockReleaseBuffer(buf);
|
||||
|
||||
/* Prepare new buffer */
|
||||
state = GenericXLogStart(rel);
|
||||
state = GenericXLogStart(index);
|
||||
buf = newbuf;
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
break;
|
||||
@@ -156,13 +159,13 @@ InsertTuple(Relation rel, Datum *values, bool *isnull, ItemPointer heap_tid, Rel
|
||||
|
||||
/* Add to next offset */
|
||||
if (PageAddItem(page, (Item) itup, itemsz, InvalidOffsetNumber, false, false) == InvalidOffsetNumber)
|
||||
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(rel));
|
||||
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
|
||||
|
||||
IvfflatCommitBuffer(buf, state);
|
||||
|
||||
/* Update the insert page */
|
||||
if (insertPage != originalInsertPage)
|
||||
IvfflatUpdateList(rel, listInfo, insertPage, originalInsertPage, InvalidBlockNumber, MAIN_FORKNUM);
|
||||
IvfflatUpdateList(index, listInfo, insertPage, originalInsertPage, InvalidBlockNumber, MAIN_FORKNUM);
|
||||
}
|
||||
|
||||
/*
|
||||
|
||||
@@ -17,10 +17,6 @@ InitCenters(Relation index, VectorArray samples, VectorArray centers, float *low
|
||||
FmgrInfo *procinfo;
|
||||
Oid collation;
|
||||
int64 j;
|
||||
double distance;
|
||||
double sum;
|
||||
double choice;
|
||||
Vector *vec;
|
||||
float *weight = palloc(samples->length * sizeof(float));
|
||||
int numCenters = centers->maxlen;
|
||||
int numSamples = samples->length;
|
||||
@@ -33,17 +29,21 @@ InitCenters(Relation index, VectorArray samples, VectorArray centers, float *low
|
||||
centers->length++;
|
||||
|
||||
for (j = 0; j < numSamples; j++)
|
||||
weight[j] = DBL_MAX;
|
||||
weight[j] = FLT_MAX;
|
||||
|
||||
for (int i = 0; i < numCenters; i++)
|
||||
{
|
||||
double sum;
|
||||
double choice;
|
||||
|
||||
CHECK_FOR_INTERRUPTS();
|
||||
|
||||
sum = 0.0;
|
||||
|
||||
for (j = 0; j < numSamples; j++)
|
||||
{
|
||||
vec = VectorArrayGet(samples, j);
|
||||
Vector *vec = VectorArrayGet(samples, j);
|
||||
double distance;
|
||||
|
||||
/* Only need to compute distance for new center */
|
||||
/* TODO Use triangle inequality to reduce distance calculations */
|
||||
@@ -112,7 +112,6 @@ CompareVectors(const void *a, const void *b)
|
||||
static void
|
||||
QuickCenters(Relation index, VectorArray samples, VectorArray centers)
|
||||
{
|
||||
Vector *vec;
|
||||
int dimensions = centers->dim;
|
||||
Oid collation = index->rd_indcollation[0];
|
||||
FmgrInfo *normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_KMEANS_NORM_PROC);
|
||||
@@ -123,7 +122,7 @@ QuickCenters(Relation index, VectorArray samples, VectorArray centers)
|
||||
qsort(samples->items, samples->length, VECTOR_SIZE(samples->dim), CompareVectors);
|
||||
for (int i = 0; i < samples->length; i++)
|
||||
{
|
||||
vec = VectorArrayGet(samples, i);
|
||||
Vector *vec = VectorArrayGet(samples, i);
|
||||
|
||||
if (i == 0 || CompareVectors(vec, VectorArrayGet(samples, i - 1)) != 0)
|
||||
{
|
||||
@@ -136,7 +135,7 @@ QuickCenters(Relation index, VectorArray samples, VectorArray centers)
|
||||
/* Fill remaining with random data */
|
||||
while (centers->length < centers->maxlen)
|
||||
{
|
||||
vec = VectorArrayGet(centers, centers->length);
|
||||
Vector *vec = VectorArrayGet(centers, centers->length);
|
||||
|
||||
SET_VARSIZE(vec, VECTOR_SIZE(dimensions));
|
||||
vec->dim = dimensions;
|
||||
@@ -168,7 +167,6 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
Oid collation;
|
||||
Vector *vec;
|
||||
Vector *newCenter;
|
||||
int iteration;
|
||||
int64 j;
|
||||
int64 k;
|
||||
int dimensions = centers->dim;
|
||||
@@ -182,14 +180,6 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
float *s;
|
||||
float *halfcdist;
|
||||
float *newcdist;
|
||||
int changes;
|
||||
double minDistance;
|
||||
int closestCenter;
|
||||
double distance;
|
||||
bool rj;
|
||||
bool rjreset;
|
||||
double dxcx;
|
||||
double dxc;
|
||||
|
||||
/* Calculate allocation sizes */
|
||||
Size samplesSize = VECTOR_ARRAY_SIZE(samples->maxlen, samples->dim);
|
||||
@@ -247,14 +237,14 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
/* Assign each x to its closest initial center c(x) = argmin d(x,c) */
|
||||
for (j = 0; j < numSamples; j++)
|
||||
{
|
||||
minDistance = DBL_MAX;
|
||||
closestCenter = 0;
|
||||
float minDistance = FLT_MAX;
|
||||
int closestCenter = 0;
|
||||
|
||||
/* Find closest center */
|
||||
for (k = 0; k < numCenters; k++)
|
||||
{
|
||||
/* TODO Use Lemma 1 in k-means++ initialization */
|
||||
distance = lowerBound[j * numCenters + k];
|
||||
float distance = lowerBound[j * numCenters + k];
|
||||
|
||||
if (distance < minDistance)
|
||||
{
|
||||
@@ -268,13 +258,14 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
}
|
||||
|
||||
/* Give 500 iterations to converge */
|
||||
for (iteration = 0; iteration < 500; iteration++)
|
||||
for (int iteration = 0; iteration < 500; iteration++)
|
||||
{
|
||||
int changes = 0;
|
||||
bool rjreset;
|
||||
|
||||
/* Can take a while, so ensure we can interrupt */
|
||||
CHECK_FOR_INTERRUPTS();
|
||||
|
||||
changes = 0;
|
||||
|
||||
/* Step 1: For all centers, compute distance */
|
||||
for (j = 0; j < numCenters; j++)
|
||||
{
|
||||
@@ -282,7 +273,8 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
|
||||
for (k = j + 1; k < numCenters; k++)
|
||||
{
|
||||
distance = 0.5 * DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(vec), PointerGetDatum(VectorArrayGet(centers, k))));
|
||||
float distance = 0.5 * DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(vec), PointerGetDatum(VectorArrayGet(centers, k))));
|
||||
|
||||
halfcdist[j * numCenters + k] = distance;
|
||||
halfcdist[k * numCenters + j] = distance;
|
||||
}
|
||||
@@ -291,10 +283,12 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
/* For all centers c, compute s(c) */
|
||||
for (j = 0; j < numCenters; j++)
|
||||
{
|
||||
minDistance = DBL_MAX;
|
||||
float minDistance = FLT_MAX;
|
||||
|
||||
for (k = 0; k < numCenters; k++)
|
||||
{
|
||||
float distance;
|
||||
|
||||
if (j == k)
|
||||
continue;
|
||||
|
||||
@@ -310,6 +304,8 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
|
||||
for (j = 0; j < numSamples; j++)
|
||||
{
|
||||
bool rj;
|
||||
|
||||
/* Step 2: Identify all points x such that u(x) <= s(c(x)) */
|
||||
if (upperBound[j] <= s[closestCenters[j]])
|
||||
continue;
|
||||
@@ -318,6 +314,8 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
|
||||
for (k = 0; k < numCenters; k++)
|
||||
{
|
||||
float dxcx;
|
||||
|
||||
/* Step 3: For all remaining points x and centers c */
|
||||
if (k == closestCenters[j])
|
||||
continue;
|
||||
@@ -347,7 +345,7 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
/* Step 3b */
|
||||
if (dxcx > lowerBound[j * numCenters + k] || dxcx > halfcdist[closestCenters[j] * numCenters + k])
|
||||
{
|
||||
dxc = DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(vec), PointerGetDatum(VectorArrayGet(centers, k))));
|
||||
float dxc = DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(vec), PointerGetDatum(VectorArrayGet(centers, k))));
|
||||
|
||||
/* d(x,c) calculated */
|
||||
lowerBound[j * numCenters + k] = dxc;
|
||||
@@ -361,7 +359,6 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
|
||||
changes++;
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -378,6 +375,8 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
|
||||
for (j = 0; j < numSamples; j++)
|
||||
{
|
||||
int closestCenter;
|
||||
|
||||
vec = VectorArrayGet(samples, j);
|
||||
closestCenter = closestCenters[j];
|
||||
|
||||
@@ -426,7 +425,7 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
{
|
||||
for (k = 0; k < numCenters; k++)
|
||||
{
|
||||
distance = lowerBound[j * numCenters + k] - newcdist[k];
|
||||
float distance = lowerBound[j * numCenters + k] - newcdist[k];
|
||||
|
||||
if (distance < 0)
|
||||
distance = 0;
|
||||
@@ -442,7 +441,7 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
|
||||
|
||||
/* Step 7 */
|
||||
for (j = 0; j < numCenters; j++)
|
||||
memcpy(VectorArrayGet(centers, j), VectorArrayGet(newCenters, j), VECTOR_SIZE(dimensions));
|
||||
VectorArraySet(centers, j, VectorArrayGet(newCenters, j));
|
||||
|
||||
if (changes == 0 && iteration != 0)
|
||||
break;
|
||||
@@ -465,9 +464,6 @@ static void
|
||||
CheckCenters(Relation index, VectorArray centers)
|
||||
{
|
||||
FmgrInfo *normprocinfo;
|
||||
Oid collation;
|
||||
Vector *vec;
|
||||
double norm;
|
||||
|
||||
if (centers->length != centers->maxlen)
|
||||
elog(ERROR, "Not enough centers. Please report a bug.");
|
||||
@@ -475,7 +471,7 @@ CheckCenters(Relation index, VectorArray centers)
|
||||
/* Ensure no NaN or infinite values */
|
||||
for (int i = 0; i < centers->length; i++)
|
||||
{
|
||||
vec = VectorArrayGet(centers, i);
|
||||
Vector *vec = VectorArrayGet(centers, i);
|
||||
|
||||
for (int j = 0; j < vec->dim; j++)
|
||||
{
|
||||
@@ -501,11 +497,12 @@ CheckCenters(Relation index, VectorArray centers)
|
||||
normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC);
|
||||
if (normprocinfo != NULL)
|
||||
{
|
||||
collation = index->rd_indcollation[0];
|
||||
Oid collation = index->rd_indcollation[0];
|
||||
|
||||
for (int i = 0; i < centers->length; i++)
|
||||
{
|
||||
norm = DatumGetFloat8(FunctionCall1Coll(normprocinfo, collation, PointerGetDatum(VectorArrayGet(centers, i))));
|
||||
double norm = DatumGetFloat8(FunctionCall1Coll(normprocinfo, collation, PointerGetDatum(VectorArrayGet(centers, i))));
|
||||
|
||||
if (norm == 0)
|
||||
elog(ERROR, "Zero norm detected. Please report a bug.");
|
||||
}
|
||||
|
||||
129
src/ivfscan.c
129
src/ivfscan.c
@@ -31,36 +31,36 @@ CompareLists(const pairingheap_node *a, const pairingheap_node *b, void *arg)
|
||||
static void
|
||||
GetScanLists(IndexScanDesc scan, Datum value)
|
||||
{
|
||||
Buffer cbuf;
|
||||
Page cpage;
|
||||
IvfflatList list;
|
||||
OffsetNumber offno;
|
||||
OffsetNumber maxoffno;
|
||||
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
|
||||
BlockNumber nextblkno = IVFFLAT_HEAD_BLKNO;
|
||||
int listCount = 0;
|
||||
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
|
||||
double distance;
|
||||
IvfflatScanList *scanlist;
|
||||
double maxDistance = DBL_MAX;
|
||||
|
||||
/* Search all list pages */
|
||||
while (BlockNumberIsValid(nextblkno))
|
||||
{
|
||||
Buffer cbuf;
|
||||
Page cpage;
|
||||
OffsetNumber maxoffno;
|
||||
|
||||
cbuf = ReadBuffer(scan->indexRelation, nextblkno);
|
||||
LockBuffer(cbuf, BUFFER_LOCK_SHARE);
|
||||
cpage = BufferGetPage(cbuf);
|
||||
|
||||
maxoffno = PageGetMaxOffsetNumber(cpage);
|
||||
|
||||
for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
|
||||
for (OffsetNumber offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
|
||||
{
|
||||
list = (IvfflatList) PageGetItem(cpage, PageGetItemId(cpage, offno));
|
||||
IvfflatList list = (IvfflatList) PageGetItem(cpage, PageGetItemId(cpage, offno));
|
||||
double distance;
|
||||
|
||||
/* Use procinfo from the index instead of scan key for performance */
|
||||
distance = DatumGetFloat8(FunctionCall2Coll(so->procinfo, so->collation, PointerGetDatum(&list->center), value));
|
||||
|
||||
if (listCount < so->probes)
|
||||
{
|
||||
IvfflatScanList *scanlist;
|
||||
|
||||
scanlist = &so->lists[listCount];
|
||||
scanlist->startPage = list->startPage;
|
||||
scanlist->distance = distance;
|
||||
@@ -75,6 +75,8 @@ GetScanLists(IndexScanDesc scan, Datum value)
|
||||
}
|
||||
else if (distance < maxDistance)
|
||||
{
|
||||
IvfflatScanList *scanlist;
|
||||
|
||||
/* Remove */
|
||||
scanlist = (IvfflatScanList *) pairingheap_remove_first(so->listQueue);
|
||||
|
||||
@@ -101,14 +103,6 @@ static void
|
||||
GetScanItems(IndexScanDesc scan, Datum value)
|
||||
{
|
||||
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
|
||||
Buffer buf;
|
||||
Page page;
|
||||
IndexTuple itup;
|
||||
BlockNumber searchPage;
|
||||
OffsetNumber offno;
|
||||
OffsetNumber maxoffno;
|
||||
Datum datum;
|
||||
bool isnull;
|
||||
TupleDesc tupdesc = RelationGetDescr(scan->indexRelation);
|
||||
double tuples = 0;
|
||||
|
||||
@@ -128,19 +122,32 @@ GetScanItems(IndexScanDesc scan, Datum value)
|
||||
/* Search closest probes lists */
|
||||
while (!pairingheap_is_empty(so->listQueue))
|
||||
{
|
||||
searchPage = ((IvfflatScanList *) pairingheap_remove_first(so->listQueue))->startPage;
|
||||
BlockNumber searchPage = ((IvfflatScanList *) pairingheap_remove_first(so->listQueue))->startPage;
|
||||
|
||||
/* Search all entry pages for list */
|
||||
while (BlockNumberIsValid(searchPage))
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
OffsetNumber maxoffno;
|
||||
|
||||
buf = ReadBufferExtended(scan->indexRelation, MAIN_FORKNUM, searchPage, RBM_NORMAL, bas);
|
||||
LockBuffer(buf, BUFFER_LOCK_SHARE);
|
||||
page = BufferGetPage(buf);
|
||||
maxoffno = PageGetMaxOffsetNumber(page);
|
||||
|
||||
for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
|
||||
for (OffsetNumber offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
|
||||
{
|
||||
itup = (IndexTuple) PageGetItem(page, PageGetItemId(page, offno));
|
||||
IndexTuple itup;
|
||||
Datum datum;
|
||||
bool isnull;
|
||||
ItemId itemid = PageGetItemId(page, offno);
|
||||
|
||||
/* Skip dead tuples */
|
||||
if (scan->ignore_killed_tuples && ItemIdIsDead(itemid))
|
||||
continue;
|
||||
|
||||
itup = (IndexTuple) PageGetItem(page, itemid);
|
||||
datum = index_getattr(itup, 1, tupdesc, &isnull);
|
||||
|
||||
/*
|
||||
@@ -181,26 +188,52 @@ GetScanItems(IndexScanDesc scan, Datum value)
|
||||
}
|
||||
|
||||
/*
|
||||
* Get dimensions from metapage
|
||||
* Mark prior tuple as dead
|
||||
*/
|
||||
static int
|
||||
GetDimensions(Relation index)
|
||||
static void
|
||||
MarkPriorTupleDead(IndexScanDesc scan)
|
||||
{
|
||||
Buffer buf;
|
||||
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
|
||||
Buffer buf = so->buf;
|
||||
Page page;
|
||||
IvfflatMetaPage metap;
|
||||
int dimensions;
|
||||
OffsetNumber maxoffno;
|
||||
|
||||
buf = ReadBuffer(index, IVFFLAT_METAPAGE_BLKNO);
|
||||
/* Safety check */
|
||||
if (!BufferIsValid(so->buf) || !ItemPointerIsValid(&so->heaptid))
|
||||
return;
|
||||
|
||||
/* Only a shared locked is needed for ItemIdMarkDead */
|
||||
LockBuffer(buf, BUFFER_LOCK_SHARE);
|
||||
page = BufferGetPage(buf);
|
||||
metap = IvfflatPageGetMeta(page);
|
||||
maxoffno = PageGetMaxOffsetNumber(page);
|
||||
|
||||
dimensions = metap->dimensions;
|
||||
for (OffsetNumber offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
|
||||
{
|
||||
ItemId itemid = PageGetItemId(page, offno);
|
||||
IndexTuple itup = (IndexTuple) PageGetItem(page, itemid);
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
/*
|
||||
* Find tuple. Since buffer has been pinned, tuple cannot have been
|
||||
* vacuumed (and heap TID reused).
|
||||
*/
|
||||
if (ItemPointerEquals(&itup->t_tid, &so->heaptid))
|
||||
{
|
||||
/*
|
||||
* Make sure tuple has not already been marked dead to avoid extra
|
||||
* WAL if wal_log_hints or data checksums enabled
|
||||
*/
|
||||
if (!ItemIdIsDead(itemid))
|
||||
{
|
||||
ItemIdMarkDead(itemid);
|
||||
MarkBufferDirtyHint(buf, true);
|
||||
}
|
||||
|
||||
return dimensions;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
/* Unlock buffer */
|
||||
LockBuffer(buf, BUFFER_LOCK_UNLOCK);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -212,6 +245,7 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
|
||||
IndexScanDesc scan;
|
||||
IvfflatScanOpaque so;
|
||||
int lists;
|
||||
int dimensions;
|
||||
AttrNumber attNums[] = {1};
|
||||
Oid sortOperators[] = {Float8LessOperator};
|
||||
Oid sortCollations[] = {InvalidOid};
|
||||
@@ -219,7 +253,9 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
|
||||
int probes = ivfflat_probes;
|
||||
|
||||
scan = RelationGetIndexScan(index, nkeys, norderbys);
|
||||
lists = IvfflatGetLists(scan->indexRelation);
|
||||
|
||||
/* Get lists and dimensions from metapage */
|
||||
IvfflatGetMetaPageInfo(index, &lists, &dimensions);
|
||||
|
||||
if (probes > lists)
|
||||
probes = lists;
|
||||
@@ -227,12 +263,13 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
|
||||
so = (IvfflatScanOpaque) palloc(offsetof(IvfflatScanOpaqueData, lists) + probes * sizeof(IvfflatScanList));
|
||||
so->buf = InvalidBuffer;
|
||||
so->first = true;
|
||||
ItemPointerSetInvalid(&so->heaptid);
|
||||
so->probes = probes;
|
||||
so->dimensions = dimensions;
|
||||
|
||||
/* Set support functions */
|
||||
so->procinfo = index_getprocinfo(index, 1, IVFFLAT_DISTANCE_PROC);
|
||||
so->normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC);
|
||||
so->normalizeprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORMALIZE_PROC);
|
||||
so->collation = index->rd_indcollation[0];
|
||||
|
||||
/* Create tuple description for sorting */
|
||||
@@ -242,7 +279,7 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
|
||||
so->tupdesc = CreateTemplateTupleDesc(3, false);
|
||||
#endif
|
||||
TupleDescInitEntry(so->tupdesc, (AttrNumber) 1, "distance", FLOAT8OID, -1, 0);
|
||||
TupleDescInitEntry(so->tupdesc, (AttrNumber) 2, "tid", TIDOID, -1, 0);
|
||||
TupleDescInitEntry(so->tupdesc, (AttrNumber) 2, "heaptid", TIDOID, -1, 0);
|
||||
TupleDescInitEntry(so->tupdesc, (AttrNumber) 3, "indexblkno", INT4OID, -1, 0);
|
||||
|
||||
/* Prep sort */
|
||||
@@ -275,6 +312,7 @@ ivfflatrescan(IndexScanDesc scan, ScanKey keys, int nkeys, ScanKey orderbys, int
|
||||
#endif
|
||||
|
||||
so->first = true;
|
||||
ItemPointerSetInvalid(&so->heaptid);
|
||||
pairingheap_reset(so->listQueue);
|
||||
|
||||
if (keys && scan->numberOfKeys > 0)
|
||||
@@ -310,7 +348,7 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
elog(ERROR, "cannot scan ivfflat index without order");
|
||||
|
||||
if (scan->orderByData->sk_flags & SK_ISNULL)
|
||||
value = PointerGetDatum(InitVector(GetDimensions(scan->indexRelation)));
|
||||
value = PointerGetDatum(InitVector(so->dimensions));
|
||||
else
|
||||
{
|
||||
value = scan->orderByData->sk_argument;
|
||||
@@ -320,7 +358,8 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
Assert(!VARATT_IS_EXTENDED(DatumGetPointer(value)));
|
||||
|
||||
/* Fine if normalization fails */
|
||||
IvfflatNormValue(so->normprocinfo, so->normalizeprocinfo, so->collation, &value, NULL);
|
||||
if (so->normprocinfo != NULL)
|
||||
IvfflatNormValue(so->normprocinfo, so->collation, &value, NULL);
|
||||
}
|
||||
|
||||
IvfflatBench("GetScanLists", GetScanLists(scan, value));
|
||||
@@ -331,18 +370,28 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
if (value != scan->orderByData->sk_argument)
|
||||
pfree(DatumGetPointer(value));
|
||||
}
|
||||
else
|
||||
{
|
||||
/* Mark prior tuple as dead */
|
||||
if (scan->kill_prior_tuple)
|
||||
MarkPriorTupleDead(scan);
|
||||
}
|
||||
|
||||
if (tuplesort_gettupleslot(so->sortstate, true, false, so->slot, NULL))
|
||||
{
|
||||
ItemPointer tid = (ItemPointer) DatumGetPointer(slot_getattr(so->slot, 2, &so->isnull));
|
||||
ItemPointer heaptid = (ItemPointer) DatumGetPointer(slot_getattr(so->slot, 2, &so->isnull));
|
||||
BlockNumber indexblkno = DatumGetInt32(slot_getattr(so->slot, 3, &so->isnull));
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
scan->xs_heaptid = *tid;
|
||||
scan->xs_heaptid = *heaptid;
|
||||
#else
|
||||
scan->xs_ctup.t_self = *tid;
|
||||
scan->xs_ctup.t_self = *heaptid;
|
||||
#endif
|
||||
|
||||
/* Keep track of info needed to mark tuple as dead */
|
||||
so->heaptid = *heaptid;
|
||||
|
||||
/* Unpin buffer */
|
||||
if (BufferIsValid(so->buf))
|
||||
ReleaseBuffer(so->buf);
|
||||
|
||||
|
||||
@@ -57,35 +57,26 @@ IvfflatGetLists(Relation index)
|
||||
* Get proc
|
||||
*/
|
||||
FmgrInfo *
|
||||
IvfflatOptionalProcInfo(Relation rel, uint16 procnum)
|
||||
IvfflatOptionalProcInfo(Relation index, uint16 procnum)
|
||||
{
|
||||
if (!OidIsValid(index_getprocid(rel, 1, procnum)))
|
||||
if (!OidIsValid(index_getprocid(index, 1, procnum)))
|
||||
return NULL;
|
||||
|
||||
return index_getprocinfo(rel, 1, procnum);
|
||||
return index_getprocinfo(index, 1, procnum);
|
||||
}
|
||||
|
||||
/*
|
||||
* Normalize a vector
|
||||
* Divide by the norm
|
||||
*
|
||||
* Returns false if value should not be indexed
|
||||
*
|
||||
* The caller needs to free the pointer stored in value
|
||||
* if it's different than the original value
|
||||
*/
|
||||
void
|
||||
IvfflatNormValue(FmgrInfo *procinfo, FmgrInfo *normalizeprocinfo, Oid collation, Datum *value, Vector * result)
|
||||
bool
|
||||
IvfflatNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result)
|
||||
{
|
||||
double norm;
|
||||
|
||||
if (normalizeprocinfo != NULL)
|
||||
{
|
||||
*value = FunctionCall1Coll(normalizeprocinfo, collation, *value);
|
||||
return;
|
||||
}
|
||||
|
||||
if (procinfo == NULL)
|
||||
return;
|
||||
|
||||
norm = DatumGetFloat8(FunctionCall1Coll(procinfo, collation, *value));
|
||||
double norm = DatumGetFloat8(FunctionCall1Coll(procinfo, collation, *value));
|
||||
|
||||
if (norm > 0)
|
||||
{
|
||||
@@ -98,7 +89,11 @@ IvfflatNormValue(FmgrInfo *procinfo, FmgrInfo *normalizeprocinfo, Oid collation,
|
||||
result->x[i] = v->x[i] / norm;
|
||||
|
||||
*value = PointerGetDatum(result);
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
return false;
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -177,6 +172,29 @@ IvfflatAppendPage(Relation index, Buffer *buf, Page *page, GenericXLogState **st
|
||||
*buf = newbuf;
|
||||
}
|
||||
|
||||
/*
|
||||
* Get the metapage info
|
||||
*/
|
||||
void
|
||||
IvfflatGetMetaPageInfo(Relation index, int *lists, int *dimensions)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
IvfflatMetaPage metap;
|
||||
|
||||
buf = ReadBuffer(index, IVFFLAT_METAPAGE_BLKNO);
|
||||
LockBuffer(buf, BUFFER_LOCK_SHARE);
|
||||
page = BufferGetPage(buf);
|
||||
metap = IvfflatPageGetMeta(page);
|
||||
|
||||
*lists = metap->lists;
|
||||
|
||||
if (dimensions != NULL)
|
||||
*dimensions = metap->dimensions;
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
|
||||
/*
|
||||
* Update the start or insert page of a list
|
||||
*/
|
||||
|
||||
74
src/vector.c
74
src/vector.c
@@ -15,6 +15,10 @@
|
||||
#include "utils/numeric.h"
|
||||
#include "vector.h"
|
||||
|
||||
#if PG_VERSION_NUM >= 160000
|
||||
#include "varatt.h"
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
#include "common/shortest_dec.h"
|
||||
#include "utils/float.h"
|
||||
@@ -35,6 +39,7 @@ PG_MODULE_MAGIC;
|
||||
/*
|
||||
* Initialize index options and variables
|
||||
*/
|
||||
PGDLLEXPORT void _PG_init(void);
|
||||
void
|
||||
_PG_init(void)
|
||||
{
|
||||
@@ -100,6 +105,23 @@ CheckElement(float value)
|
||||
errmsg("infinite value not allowed in vector")));
|
||||
}
|
||||
|
||||
/*
|
||||
* Allocate and initialize a new vector
|
||||
*/
|
||||
Vector *
|
||||
InitVector(int dim)
|
||||
{
|
||||
Vector *result;
|
||||
int size;
|
||||
|
||||
size = VECTOR_SIZE(dim);
|
||||
result = (Vector *) palloc0(size);
|
||||
SET_VARSIZE(result, size);
|
||||
result->dim = dim;
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
/*
|
||||
* Check for whitespace, since array_isspace() is static
|
||||
*/
|
||||
@@ -673,6 +695,8 @@ vector_spherical_distance(PG_FUNCTION_ARGS)
|
||||
{
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||
float *ax = a->x;
|
||||
float *bx = b->x;
|
||||
float dp = 0.0;
|
||||
double distance;
|
||||
|
||||
@@ -680,7 +704,7 @@ vector_spherical_distance(PG_FUNCTION_ARGS)
|
||||
|
||||
/* Auto-vectorized */
|
||||
for (int i = 0; i < a->dim; i++)
|
||||
dp += a->x[i] * b->x[i];
|
||||
dp += ax[i] * bx[i];
|
||||
|
||||
distance = (double) dp;
|
||||
|
||||
@@ -733,62 +757,16 @@ vector_dims(PG_FUNCTION_ARGS)
|
||||
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_norm);
|
||||
Datum
|
||||
vector_norm(PG_FUNCTION_ARGS)
|
||||
{
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
float *ax = a->x;
|
||||
float norm = 0.0;
|
||||
|
||||
/* Auto-vectorized */
|
||||
for (int i = 0; i < a->dim; i++)
|
||||
norm += ax[i] * ax[i];
|
||||
|
||||
PG_RETURN_FLOAT8(sqrt((double) norm));
|
||||
}
|
||||
|
||||
/*
|
||||
* Normalize a vector with the L2 norm
|
||||
*/
|
||||
PGDLLEXPORT PG_FUNCTION_INFO_V1(normalize_l2);
|
||||
Datum
|
||||
normalize_l2(PG_FUNCTION_ARGS)
|
||||
{
|
||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||
float *ax = a->x;
|
||||
double norm = 0.0;
|
||||
#ifdef _MSC_VER
|
||||
/* Fix precision on Windows */
|
||||
double normf;
|
||||
#else
|
||||
float normf;
|
||||
#endif
|
||||
Vector *result;
|
||||
float *rx;
|
||||
|
||||
result = InitVector(a->dim);
|
||||
rx = result->x;
|
||||
|
||||
/* Auto-vectorized */
|
||||
for (int i = 0; i < a->dim; i++)
|
||||
norm += (double) ax[i] * (double) ax[i];
|
||||
|
||||
norm = sqrt(norm);
|
||||
normf = norm;
|
||||
|
||||
if (normf > 0)
|
||||
{
|
||||
/* Auto-vectorized */
|
||||
for (int i = 0, imax = a->dim; i < imax; i++)
|
||||
rx[i] = ax[i] / normf;
|
||||
|
||||
/* Check for overflow */
|
||||
for (int i = 0, imax = a->dim; i < imax; i++)
|
||||
{
|
||||
if (isinf(rx[i]))
|
||||
float_overflow_error();
|
||||
}
|
||||
}
|
||||
|
||||
PG_RETURN_POINTER(result);
|
||||
PG_RETURN_FLOAT8(sqrt(norm));
|
||||
}
|
||||
|
||||
/*
|
||||
|
||||
27
src/vector.h
27
src/vector.h
@@ -1,12 +1,6 @@
|
||||
#ifndef VECTOR_H
|
||||
#define VECTOR_H
|
||||
|
||||
#include "postgres.h"
|
||||
|
||||
#if PG_VERSION_NUM >= 160000
|
||||
#include "varatt.h"
|
||||
#endif
|
||||
|
||||
#define VECTOR_MAX_DIM 16000
|
||||
|
||||
#define VECTOR_SIZE(_dim) (offsetof(Vector, x) + sizeof(float)*(_dim))
|
||||
@@ -14,9 +8,6 @@
|
||||
#define PG_GETARG_VECTOR_P(x) DatumGetVector(PG_GETARG_DATUM(x))
|
||||
#define PG_RETURN_VECTOR_P(x) PG_RETURN_POINTER(x)
|
||||
|
||||
/* Exported functions */
|
||||
PGDLLEXPORT void _PG_init(void);
|
||||
|
||||
typedef struct Vector
|
||||
{
|
||||
int32 vl_len_; /* varlena header (do not touch directly!) */
|
||||
@@ -25,24 +16,8 @@ typedef struct Vector
|
||||
float x[FLEXIBLE_ARRAY_MEMBER];
|
||||
} Vector;
|
||||
|
||||
Vector *InitVector(int dim);
|
||||
void PrintVector(char *msg, Vector * vector);
|
||||
int vector_cmp_internal(Vector * a, Vector * b);
|
||||
|
||||
/*
|
||||
* Allocate and initialize a new vector
|
||||
*/
|
||||
static inline Vector *
|
||||
InitVector(int dim)
|
||||
{
|
||||
Vector *result;
|
||||
int size;
|
||||
|
||||
size = VECTOR_SIZE(dim);
|
||||
result = (Vector *) palloc0(size);
|
||||
SET_VARSIZE(result, size);
|
||||
result->dim = dim;
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
#endif
|
||||
|
||||
@@ -48,51 +48,27 @@ SELECT vector_norm('[0,1]');
|
||||
1
|
||||
(1 row)
|
||||
|
||||
SELECT normalize_l2('[3,4]');
|
||||
normalize_l2
|
||||
--------------
|
||||
[0.6,0.8]
|
||||
SELECT vector_norm('[3e37,4e37]')::real;
|
||||
vector_norm
|
||||
-------------
|
||||
5e+37
|
||||
(1 row)
|
||||
|
||||
SELECT normalize_l2('[3,0]');
|
||||
normalize_l2
|
||||
--------------
|
||||
[1,0]
|
||||
(1 row)
|
||||
|
||||
SELECT normalize_l2('[0,0.1]');
|
||||
normalize_l2
|
||||
--------------
|
||||
[0,1]
|
||||
(1 row)
|
||||
|
||||
SELECT normalize_l2('[0,0]');
|
||||
normalize_l2
|
||||
--------------
|
||||
[0,0]
|
||||
(1 row)
|
||||
|
||||
SELECT normalize_l2('[3e38]');
|
||||
normalize_l2
|
||||
--------------
|
||||
[1]
|
||||
(1 row)
|
||||
|
||||
SELECT l2_distance('[0,0]', '[3,4]');
|
||||
SELECT l2_distance('[0,0]'::vector, '[3,4]');
|
||||
l2_distance
|
||||
-------------
|
||||
5
|
||||
(1 row)
|
||||
|
||||
SELECT l2_distance('[0,0]', '[0,1]');
|
||||
SELECT l2_distance('[0,0]'::vector, '[0,1]');
|
||||
l2_distance
|
||||
-------------
|
||||
1
|
||||
(1 row)
|
||||
|
||||
SELECT l2_distance('[1,2]', '[3]');
|
||||
SELECT l2_distance('[1,2]'::vector, '[3]');
|
||||
ERROR: different vector dimensions 2 and 1
|
||||
SELECT l2_distance('[3e38]', '[-3e38]');
|
||||
SELECT l2_distance('[3e38]'::vector, '[-3e38]');
|
||||
l2_distance
|
||||
-------------
|
||||
Infinity
|
||||
@@ -130,6 +106,12 @@ SELECT cosine_distance('[1,1]', '[1,1]');
|
||||
0
|
||||
(1 row)
|
||||
|
||||
SELECT cosine_distance('[1,0]', '[0,2]');
|
||||
cosine_distance
|
||||
-----------------
|
||||
1
|
||||
(1 row)
|
||||
|
||||
SELECT cosine_distance('[1,1]', '[-1,-1]');
|
||||
cosine_distance
|
||||
-----------------
|
||||
|
||||
@@ -9,19 +9,18 @@ SELECT * FROM t ORDER BY val <=> '[3,3,3]';
|
||||
[1,1,1]
|
||||
[1,2,3]
|
||||
[1,2,4]
|
||||
[0,0,0]
|
||||
(4 rows)
|
||||
(3 rows)
|
||||
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '[0,0,0]') t2;
|
||||
count
|
||||
-------
|
||||
4
|
||||
3
|
||||
(1 row)
|
||||
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::vector)) t2;
|
||||
count
|
||||
-------
|
||||
4
|
||||
3
|
||||
(1 row)
|
||||
|
||||
DROP TABLE t;
|
||||
|
||||
@@ -27,4 +27,10 @@ SELECT COUNT(*) FROM t;
|
||||
5
|
||||
(1 row)
|
||||
|
||||
TRUNCATE t;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
val
|
||||
-----
|
||||
(0 rows)
|
||||
|
||||
DROP TABLE t;
|
||||
|
||||
@@ -1,25 +1,26 @@
|
||||
SET enable_seqscan = off;
|
||||
CREATE TABLE t (val vector(3));
|
||||
CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (m = 3);
|
||||
ERROR: value 3 out of bounds for option "m"
|
||||
DETAIL: Valid values are between "4" and "100".
|
||||
CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (m = 1);
|
||||
ERROR: value 1 out of bounds for option "m"
|
||||
DETAIL: Valid values are between "2" and "100".
|
||||
CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (m = 101);
|
||||
ERROR: value 101 out of bounds for option "m"
|
||||
DETAIL: Valid values are between "4" and "100".
|
||||
CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (ef_construction = 9);
|
||||
ERROR: value 9 out of bounds for option "ef_construction"
|
||||
DETAIL: Valid values are between "10" and "1000".
|
||||
DETAIL: Valid values are between "2" and "100".
|
||||
CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (ef_construction = 3);
|
||||
ERROR: value 3 out of bounds for option "ef_construction"
|
||||
DETAIL: Valid values are between "4" and "1000".
|
||||
CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (ef_construction = 1001);
|
||||
ERROR: value 1001 out of bounds for option "ef_construction"
|
||||
DETAIL: Valid values are between "10" and "1000".
|
||||
DETAIL: Valid values are between "4" and "1000".
|
||||
CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (m = 16, ef_construction = 31);
|
||||
ERROR: ef_construction must be greater than or equal to 2 * m
|
||||
SHOW hnsw.ef_search;
|
||||
hnsw.ef_search
|
||||
----------------
|
||||
40
|
||||
(1 row)
|
||||
|
||||
SET hnsw.ef_search = 9;
|
||||
ERROR: 9 is outside the valid range for parameter "hnsw.ef_search" (10 .. 1000)
|
||||
SET hnsw.ef_search = 0;
|
||||
ERROR: 0 is outside the valid range for parameter "hnsw.ef_search" (1 .. 1000)
|
||||
SET hnsw.ef_search = 1001;
|
||||
ERROR: 1001 is outside the valid range for parameter "hnsw.ef_search" (10 .. 1000)
|
||||
ERROR: 1001 is outside the valid range for parameter "hnsw.ef_search" (1 .. 1000)
|
||||
DROP TABLE t;
|
||||
|
||||
@@ -9,19 +9,18 @@ SELECT * FROM t ORDER BY val <=> '[3,3,3]';
|
||||
[1,1,1]
|
||||
[1,2,3]
|
||||
[1,2,4]
|
||||
[0,0,0]
|
||||
(4 rows)
|
||||
(3 rows)
|
||||
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> '[0,0,0]') t2;
|
||||
count
|
||||
-------
|
||||
4
|
||||
3
|
||||
(1 row)
|
||||
|
||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::vector)) t2;
|
||||
count
|
||||
-------
|
||||
4
|
||||
3
|
||||
(1 row)
|
||||
|
||||
DROP TABLE t;
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
SET enable_seqscan = off;
|
||||
CREATE TABLE t (val vector(3));
|
||||
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||
CREATE INDEX ON t USING ivfflat (val) WITH (lists = 1);
|
||||
CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 1);
|
||||
INSERT INTO t (val) VALUES ('[1,2,4]');
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
val
|
||||
@@ -27,4 +27,13 @@ SELECT COUNT(*) FROM t;
|
||||
5
|
||||
(1 row)
|
||||
|
||||
TRUNCATE t;
|
||||
NOTICE: ivfflat index created with little data
|
||||
DETAIL: This will cause low recall.
|
||||
HINT: Drop the index until the table has more data.
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
val
|
||||
-----
|
||||
(0 rows)
|
||||
|
||||
DROP TABLE t;
|
||||
|
||||
@@ -1,9 +1,8 @@
|
||||
SET enable_seqscan = off;
|
||||
CREATE TABLE t (val vector(3));
|
||||
CREATE INDEX ON t USING ivfflat (val) WITH (lists = 0);
|
||||
CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 0);
|
||||
ERROR: value 0 out of bounds for option "lists"
|
||||
DETAIL: Valid values are between "1" and "32768".
|
||||
CREATE INDEX ON t USING ivfflat (val) WITH (lists = 32769);
|
||||
CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 32769);
|
||||
ERROR: value 32769 out of bounds for option "lists"
|
||||
DETAIL: Valid values are between "1" and "32768".
|
||||
SHOW ivfflat.probes;
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
SET enable_seqscan = off;
|
||||
CREATE UNLOGGED TABLE t (val vector(3));
|
||||
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||
CREATE INDEX ON t USING ivfflat (val) WITH (lists = 1);
|
||||
CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 1);
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
val
|
||||
---------
|
||||
|
||||
@@ -11,17 +11,12 @@ SELECT vector_dims('[1,2,3]');
|
||||
SELECT round(vector_norm('[1,1]')::numeric, 5);
|
||||
SELECT vector_norm('[3,4]');
|
||||
SELECT vector_norm('[0,1]');
|
||||
SELECT vector_norm('[3e37,4e37]')::real;
|
||||
|
||||
SELECT normalize_l2('[3,4]');
|
||||
SELECT normalize_l2('[3,0]');
|
||||
SELECT normalize_l2('[0,0.1]');
|
||||
SELECT normalize_l2('[0,0]');
|
||||
SELECT normalize_l2('[3e38]');
|
||||
|
||||
SELECT l2_distance('[0,0]', '[3,4]');
|
||||
SELECT l2_distance('[0,0]', '[0,1]');
|
||||
SELECT l2_distance('[1,2]', '[3]');
|
||||
SELECT l2_distance('[3e38]', '[-3e38]');
|
||||
SELECT l2_distance('[0,0]'::vector, '[3,4]');
|
||||
SELECT l2_distance('[0,0]'::vector, '[0,1]');
|
||||
SELECT l2_distance('[1,2]'::vector, '[3]');
|
||||
SELECT l2_distance('[3e38]'::vector, '[-3e38]');
|
||||
|
||||
SELECT inner_product('[1,2]', '[3,4]');
|
||||
SELECT inner_product('[1,2]', '[3]');
|
||||
@@ -30,6 +25,7 @@ SELECT inner_product('[3e38]', '[3e38]');
|
||||
SELECT cosine_distance('[1,2]', '[2,4]');
|
||||
SELECT cosine_distance('[1,2]', '[0,0]');
|
||||
SELECT cosine_distance('[1,1]', '[1,1]');
|
||||
SELECT cosine_distance('[1,0]', '[0,2]');
|
||||
SELECT cosine_distance('[1,1]', '[-1,-1]');
|
||||
SELECT cosine_distance('[1,2]', '[3]');
|
||||
SELECT cosine_distance('[1,1]', '[1.1,1.1]');
|
||||
|
||||
@@ -10,4 +10,7 @@ SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
SELECT * FROM t ORDER BY val <-> (SELECT NULL::vector);
|
||||
SELECT COUNT(*) FROM t;
|
||||
|
||||
TRUNCATE t;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
|
||||
DROP TABLE t;
|
||||
|
||||
@@ -1,14 +1,13 @@
|
||||
SET enable_seqscan = off;
|
||||
|
||||
CREATE TABLE t (val vector(3));
|
||||
CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (m = 3);
|
||||
CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (m = 1);
|
||||
CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (m = 101);
|
||||
CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (ef_construction = 9);
|
||||
CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (ef_construction = 3);
|
||||
CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (ef_construction = 1001);
|
||||
CREATE INDEX ON t USING hnsw (val vector_l2_ops) WITH (m = 16, ef_construction = 31);
|
||||
|
||||
SHOW hnsw.ef_search;
|
||||
|
||||
SET hnsw.ef_search = 9;
|
||||
SET hnsw.ef_search = 0;
|
||||
SET hnsw.ef_search = 1001;
|
||||
|
||||
DROP TABLE t;
|
||||
|
||||
@@ -2,7 +2,7 @@ SET enable_seqscan = off;
|
||||
|
||||
CREATE TABLE t (val vector(3));
|
||||
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||
CREATE INDEX ON t USING ivfflat (val) WITH (lists = 1);
|
||||
CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 1);
|
||||
|
||||
INSERT INTO t (val) VALUES ('[1,2,4]');
|
||||
|
||||
@@ -10,4 +10,7 @@ SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
SELECT * FROM t ORDER BY val <-> (SELECT NULL::vector);
|
||||
SELECT COUNT(*) FROM t;
|
||||
|
||||
TRUNCATE t;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
|
||||
DROP TABLE t;
|
||||
|
||||
@@ -1,8 +1,6 @@
|
||||
SET enable_seqscan = off;
|
||||
|
||||
CREATE TABLE t (val vector(3));
|
||||
CREATE INDEX ON t USING ivfflat (val) WITH (lists = 0);
|
||||
CREATE INDEX ON t USING ivfflat (val) WITH (lists = 32769);
|
||||
CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 0);
|
||||
CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 32769);
|
||||
|
||||
SHOW ivfflat.probes;
|
||||
|
||||
|
||||
@@ -2,7 +2,7 @@ SET enable_seqscan = off;
|
||||
|
||||
CREATE UNLOGGED TABLE t (val vector(3));
|
||||
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||
CREATE INDEX ON t USING ivfflat (val) WITH (lists = 1);
|
||||
CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 1);
|
||||
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
|
||||
|
||||
@@ -19,14 +19,13 @@ sub test_index_replay
|
||||
|
||||
# Wait for replica to catch up
|
||||
my $applname = $node_replica->name;
|
||||
|
||||
my $server_version_num = $node_primary->safe_psql("postgres", "SHOW server_version_num");
|
||||
my $caughtup_query = "SELECT pg_current_wal_lsn() <= replay_lsn FROM pg_stat_replication WHERE application_name = '$applname';";
|
||||
$node_primary->poll_query_until('postgres', $caughtup_query)
|
||||
or die "Timed out while waiting for replica 1 to catch up";
|
||||
|
||||
my @r = ();
|
||||
for (1 .. $dim) {
|
||||
for (1 .. $dim)
|
||||
{
|
||||
push(@r, rand());
|
||||
}
|
||||
my $sql = join(",", @r);
|
||||
@@ -52,11 +51,13 @@ my $array_sql = join(",", ('random()') x $dim);
|
||||
# Initialize primary node
|
||||
$node_primary = get_new_node('primary');
|
||||
$node_primary->init(allows_streaming => 1);
|
||||
if ($dim > 32) {
|
||||
if ($dim > 32)
|
||||
{
|
||||
# TODO use wal_keep_segments for Postgres < 13
|
||||
$node_primary->append_conf('postgresql.conf', qq(wal_keep_size = 1GB));
|
||||
}
|
||||
if ($dim > 1500) {
|
||||
if ($dim > 1500)
|
||||
{
|
||||
$node_primary->append_conf('postgresql.conf', qq(maintenance_work_mem = 128MB));
|
||||
}
|
||||
$node_primary->start;
|
||||
@@ -67,8 +68,7 @@ $node_primary->backup($backup_name);
|
||||
|
||||
# Create streaming replica linking to primary
|
||||
$node_replica = get_new_node('replica');
|
||||
$node_replica->init_from_backup($node_primary, $backup_name,
|
||||
has_streaming => 1);
|
||||
$node_replica->init_from_backup($node_primary, $backup_name, has_streaming => 1);
|
||||
$node_replica->start;
|
||||
|
||||
# Create ivfflat index on primary
|
||||
@@ -77,7 +77,7 @@ $node_primary->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector($dim));
|
||||
$node_primary->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i % 10, ARRAY[$array_sql] FROM generate_series(1, 100000) i;"
|
||||
);
|
||||
$node_primary->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v);");
|
||||
$node_primary->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v vector_l2_ops);");
|
||||
|
||||
# Test that queries give same result
|
||||
test_index_replay('initial');
|
||||
|
||||
@@ -7,7 +7,8 @@ use Test::More;
|
||||
my $dim = 3;
|
||||
|
||||
my @r = ();
|
||||
for (1 .. $dim) {
|
||||
for (1 .. $dim)
|
||||
{
|
||||
my $v = int(rand(1000)) + 1;
|
||||
push(@r, "i % $v");
|
||||
}
|
||||
@@ -24,7 +25,7 @@ $node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector($dim));");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i % 10, ARRAY[$array_sql] FROM generate_series(1, 100000) i;"
|
||||
);
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v);");
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v vector_l2_ops);");
|
||||
|
||||
# Get size
|
||||
my $size = $node->safe_psql("postgres", "SELECT pg_total_relation_size('tst_v_idx');");
|
||||
|
||||
@@ -22,7 +22,8 @@ sub test_recall
|
||||
));
|
||||
like($explain, qr/Index Scan using idx on tst/);
|
||||
|
||||
for my $i (0 .. $#queries) {
|
||||
for my $i (0 .. $#queries)
|
||||
{
|
||||
my $actual = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET ivfflat.probes = $probes;
|
||||
@@ -33,8 +34,10 @@ sub test_recall
|
||||
|
||||
my @expected_ids = split("\n", $expected[$i]);
|
||||
|
||||
foreach (@expected_ids) {
|
||||
if (exists($actual_set{$_})) {
|
||||
foreach (@expected_ids)
|
||||
{
|
||||
if (exists($actual_set{$_}))
|
||||
{
|
||||
$correct++;
|
||||
}
|
||||
$total++;
|
||||
@@ -57,7 +60,8 @@ $node->safe_psql("postgres",
|
||||
);
|
||||
|
||||
# Generate queries
|
||||
for (1..20) {
|
||||
for (1 .. 20)
|
||||
{
|
||||
my $r1 = rand();
|
||||
my $r2 = rand();
|
||||
my $r3 = rand();
|
||||
@@ -66,26 +70,21 @@ for (1..20) {
|
||||
|
||||
# Check each index type
|
||||
my @operators = ("<->", "<#>", "<=>");
|
||||
my @opclasses = ("vector_l2_ops", "vector_ip_ops", "vector_cosine_ops");
|
||||
|
||||
foreach (@operators) {
|
||||
my $operator = $_;
|
||||
for my $i (0 .. $#operators)
|
||||
{
|
||||
my $operator = $operators[$i];
|
||||
my $opclass = $opclasses[$i];
|
||||
|
||||
# Get exact results
|
||||
@expected = ();
|
||||
foreach (@queries) {
|
||||
foreach (@queries)
|
||||
{
|
||||
my $res = $node->safe_psql("postgres", "SELECT i FROM tst ORDER BY v $operator '$_' LIMIT $limit;");
|
||||
push(@expected, $res);
|
||||
}
|
||||
|
||||
my $opclass;
|
||||
if ($operator eq "<->") {
|
||||
$opclass = "vector_l2_ops";
|
||||
} elsif ($operator eq "<#>") {
|
||||
$opclass = "vector_ip_ops";
|
||||
} else {
|
||||
$opclass = "vector_cosine_ops";
|
||||
}
|
||||
|
||||
# Build index serially
|
||||
$node->safe_psql("postgres", qq(
|
||||
SET max_parallel_maintenance_workers = 0;
|
||||
@@ -93,13 +92,14 @@ foreach (@operators) {
|
||||
));
|
||||
|
||||
# Test approximate results
|
||||
if ($operator ne "<#>") {
|
||||
# TODO fix test
|
||||
test_recall(1, 0.75, $operator);
|
||||
if ($operator ne "<#>")
|
||||
{
|
||||
# TODO Fix test (uniform random vectors all have similar inner product)
|
||||
test_recall(1, 0.71, $operator);
|
||||
test_recall(10, 0.95, $operator);
|
||||
}
|
||||
# Account for equal distances
|
||||
test_recall(100, 0.995, $operator);
|
||||
test_recall(100, 0.9925, $operator);
|
||||
|
||||
$node->safe_psql("postgres", "DROP INDEX idx;");
|
||||
|
||||
@@ -113,13 +113,14 @@ foreach (@operators) {
|
||||
like($stderr, qr/using \d+ parallel workers/);
|
||||
|
||||
# Test approximate results
|
||||
if ($operator ne "<#>") {
|
||||
# TODO fix test
|
||||
test_recall(1, 0.75, $operator);
|
||||
if ($operator ne "<#>")
|
||||
{
|
||||
# TODO Fix test (uniform random vectors all have similar inner product)
|
||||
test_recall(1, 0.71, $operator);
|
||||
test_recall(10, 0.95, $operator);
|
||||
}
|
||||
# Account for equal distances
|
||||
test_recall(100, 0.995, $operator);
|
||||
test_recall(100, 0.9925, $operator);
|
||||
|
||||
$node->safe_psql("postgres", "DROP INDEX idx;");
|
||||
}
|
||||
@@ -20,7 +20,7 @@ sub test_centers
|
||||
{
|
||||
my ($lists, $min) = @_;
|
||||
|
||||
my ($ret, $stdout, $stderr) = $node->psql("postgres", "CREATE INDEX ON tst USING ivfflat (v) WITH (lists = $lists);");
|
||||
my ($ret, $stdout, $stderr) = $node->psql("postgres", "CREATE INDEX ON tst USING ivfflat (v vector_l2_ops) WITH (lists = $lists);");
|
||||
is($ret, 0, $stderr);
|
||||
}
|
||||
|
||||
|
||||
@@ -18,24 +18,21 @@ $node->safe_psql("postgres",
|
||||
|
||||
# Check each index type
|
||||
my @operators = ("<->", "<#>", "<=>");
|
||||
foreach (@operators) {
|
||||
my $operator = $_;
|
||||
my @opclasses = ("vector_l2_ops", "vector_ip_ops", "vector_cosine_ops");
|
||||
|
||||
for my $i (0 .. $#operators)
|
||||
{
|
||||
my $operator = $operators[$i];
|
||||
my $opclass = $opclasses[$i];
|
||||
|
||||
# Add index
|
||||
my $opclass;
|
||||
if ($operator eq "<->") {
|
||||
$opclass = "vector_l2_ops";
|
||||
} elsif ($operator eq "<#>") {
|
||||
$opclass = "vector_ip_ops";
|
||||
} else {
|
||||
$opclass = "vector_cosine_ops";
|
||||
}
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v $opclass);");
|
||||
|
||||
# Test 100% recall
|
||||
for (1..20) {
|
||||
my $i = int(rand() * 100000);
|
||||
my $query = $node->safe_psql("postgres", "SELECT v FROM tst WHERE i = $i;");
|
||||
for (1 .. 20)
|
||||
{
|
||||
my $id = int(rand() * 100000);
|
||||
my $query = $node->safe_psql("postgres", "SELECT v FROM tst WHERE i = $id;");
|
||||
my $res = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SELECT v FROM tst ORDER BY v <-> '$query' LIMIT 1;
|
||||
|
||||
@@ -16,8 +16,8 @@ $node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT ARRAY[random(), random(), random()] FROM generate_series(1, 100000) i;"
|
||||
);
|
||||
|
||||
$node->safe_psql("postgres", "CREATE INDEX lists50 ON tst USING ivfflat (v) WITH (lists = 50);");
|
||||
$node->safe_psql("postgres", "CREATE INDEX lists100 ON tst USING ivfflat (v) WITH (lists = 100);");
|
||||
$node->safe_psql("postgres", "CREATE INDEX lists50 ON tst USING ivfflat (v vector_l2_ops) WITH (lists = 50);");
|
||||
$node->safe_psql("postgres", "CREATE INDEX lists100 ON tst USING ivfflat (v vector_l2_ops) WITH (lists = 100);");
|
||||
|
||||
# Test prefers more lists
|
||||
my $res = $node->safe_psql("postgres", "EXPLAIN SELECT v FROM tst ORDER BY v <-> '[0.5,0.5,0.5]' LIMIT 10;");
|
||||
@@ -26,7 +26,7 @@ unlike($res, qr/lists50/);
|
||||
|
||||
# Test errors with too much memory
|
||||
my ($ret, $stdout, $stderr) = $node->psql("postgres",
|
||||
"CREATE INDEX lists10000 ON tst USING ivfflat (v) WITH (lists = 10000);"
|
||||
"CREATE INDEX lists10000 ON tst USING ivfflat (v vector_l2_ops) WITH (lists = 10000);"
|
||||
);
|
||||
like($stderr, qr/memory required is/);
|
||||
|
||||
|
||||
@@ -19,7 +19,7 @@ $node->safe_psql("postgres", "CREATE TABLE tst (v vector($dim));");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT ARRAY[$array_sql] FROM generate_series(1, 10000) i;"
|
||||
);
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v);");
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v vector_l2_ops);");
|
||||
|
||||
$node->pgbench(
|
||||
"--no-vacuum --client=5 --transactions=100",
|
||||
@@ -28,7 +28,7 @@ $node->pgbench(
|
||||
[qr{^$}],
|
||||
"concurrent INSERTs",
|
||||
{
|
||||
"007_inserts" => "INSERT INTO tst SELECT ARRAY[$array_sql] FROM generate_series(1, 10) i;"
|
||||
"007_ivfflat_inserts" => "INSERT INTO tst SELECT ARRAY[$array_sql] FROM generate_series(1, 10) i;"
|
||||
}
|
||||
);
|
||||
|
||||
|
||||
@@ -30,7 +30,8 @@ sub test_aggregate
|
||||
|
||||
# Test matches real for avg
|
||||
# Cannot test sum since sum(real) varies between calls
|
||||
if ($agg eq 'avg') {
|
||||
if ($agg eq 'avg')
|
||||
{
|
||||
my $r1 = $node->safe_psql("postgres", "SELECT $agg(r1)::float4 FROM tst;");
|
||||
my $r2 = $node->safe_psql("postgres", "SELECT $agg(r2)::float4 FROM tst;");
|
||||
my $r3 = $node->safe_psql("postgres", "SELECT $agg(r3)::float4 FROM tst;");
|
||||
|
||||
@@ -19,14 +19,13 @@ sub test_index_replay
|
||||
|
||||
# Wait for replica to catch up
|
||||
my $applname = $node_replica->name;
|
||||
|
||||
my $server_version_num = $node_primary->safe_psql("postgres", "SHOW server_version_num");
|
||||
my $caughtup_query = "SELECT pg_current_wal_lsn() <= replay_lsn FROM pg_stat_replication WHERE application_name = '$applname';";
|
||||
$node_primary->poll_query_until('postgres', $caughtup_query)
|
||||
or die "Timed out while waiting for replica 1 to catch up";
|
||||
|
||||
my @r = ();
|
||||
for (1 .. $dim) {
|
||||
for (1 .. $dim)
|
||||
{
|
||||
push(@r, rand());
|
||||
}
|
||||
my $sql = join(",", @r);
|
||||
@@ -52,11 +51,13 @@ my $array_sql = join(",", ('random()') x $dim);
|
||||
# Initialize primary node
|
||||
$node_primary = get_new_node('primary');
|
||||
$node_primary->init(allows_streaming => 1);
|
||||
if ($dim > 32) {
|
||||
if ($dim > 32)
|
||||
{
|
||||
# TODO use wal_keep_segments for Postgres < 13
|
||||
$node_primary->append_conf('postgresql.conf', qq(wal_keep_size = 1GB));
|
||||
}
|
||||
if ($dim > 1500) {
|
||||
if ($dim > 1500)
|
||||
{
|
||||
$node_primary->append_conf('postgresql.conf', qq(maintenance_work_mem = 128MB));
|
||||
}
|
||||
$node_primary->start;
|
||||
@@ -67,8 +68,7 @@ $node_primary->backup($backup_name);
|
||||
|
||||
# Create streaming replica linking to primary
|
||||
$node_replica = get_new_node('replica');
|
||||
$node_replica->init_from_backup($node_primary, $backup_name,
|
||||
has_streaming => 1);
|
||||
$node_replica->init_from_backup($node_primary, $backup_name, has_streaming => 1);
|
||||
$node_replica->start;
|
||||
|
||||
# Create hnsw index on primary
|
||||
|
||||
@@ -7,7 +7,8 @@ use Test::More;
|
||||
my $dim = 3;
|
||||
|
||||
my @r = ();
|
||||
for (1 .. $dim) {
|
||||
for (1 .. $dim)
|
||||
{
|
||||
my $v = int(rand(1000)) + 1;
|
||||
push(@r, "i % $v");
|
||||
}
|
||||
@@ -22,7 +23,7 @@ $node->start;
|
||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector($dim));");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i % 10, ARRAY[$array_sql] FROM generate_series(1, 10000) i;"
|
||||
"INSERT INTO tst SELECT i, ARRAY[$array_sql] FROM generate_series(1, 10000) i;"
|
||||
);
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING hnsw (v vector_l2_ops);");
|
||||
|
||||
@@ -33,11 +34,21 @@ my $size = $node->safe_psql("postgres", "SELECT pg_total_relation_size('tst_v_id
|
||||
$node->safe_psql("postgres", "DELETE FROM tst;");
|
||||
$node->safe_psql("postgres", "VACUUM tst;");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i % 10, ARRAY[$array_sql] FROM generate_series(1, 10000) i;"
|
||||
"INSERT INTO tst SELECT i, ARRAY[$array_sql] FROM generate_series(1, 10000) i;"
|
||||
);
|
||||
|
||||
# Check size
|
||||
# May increase some due to different levels
|
||||
my $new_size = $node->safe_psql("postgres", "SELECT pg_total_relation_size('tst_v_idx');");
|
||||
cmp_ok($new_size, "<=", $size * 1.01, "size does not increase too much");
|
||||
cmp_ok($new_size, "<=", $size * 1.02, "size does not increase too much");
|
||||
|
||||
# Delete all but one
|
||||
$node->safe_psql("postgres", "DELETE FROM tst WHERE i != 123;");
|
||||
$node->safe_psql("postgres", "VACUUM tst;");
|
||||
my $res = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SELECT i FROM tst ORDER BY v <-> '[0,0,0]' LIMIT 10;
|
||||
));
|
||||
is($res, 123);
|
||||
|
||||
done_testing();
|
||||
|
||||
@@ -21,7 +21,8 @@ sub test_recall
|
||||
));
|
||||
like($explain, qr/Index Scan/);
|
||||
|
||||
for my $i (0 .. $#queries) {
|
||||
for my $i (0 .. $#queries)
|
||||
{
|
||||
my $actual = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SELECT i FROM tst ORDER BY v $operator '$queries[$i]' LIMIT $limit;
|
||||
@@ -31,8 +32,10 @@ sub test_recall
|
||||
|
||||
my @expected_ids = split("\n", $expected[$i]);
|
||||
|
||||
foreach (@expected_ids) {
|
||||
if (exists($actual_set{$_})) {
|
||||
foreach (@expected_ids)
|
||||
{
|
||||
if (exists($actual_set{$_}))
|
||||
{
|
||||
$correct++;
|
||||
}
|
||||
$total++;
|
||||
@@ -55,7 +58,8 @@ $node->safe_psql("postgres",
|
||||
);
|
||||
|
||||
# Generate queries
|
||||
for (1..20) {
|
||||
for (1 .. 20)
|
||||
{
|
||||
my $r1 = rand();
|
||||
my $r2 = rand();
|
||||
my $r3 = rand();
|
||||
@@ -64,33 +68,26 @@ for (1..20) {
|
||||
|
||||
# Check each index type
|
||||
my @operators = ("<->", "<#>", "<=>");
|
||||
my @opclasses = ("vector_l2_ops", "vector_ip_ops", "vector_cosine_ops");
|
||||
|
||||
foreach (@operators) {
|
||||
my $operator = $_;
|
||||
for my $i (0 .. $#operators)
|
||||
{
|
||||
my $operator = $operators[$i];
|
||||
my $opclass = $opclasses[$i];
|
||||
|
||||
# Get exact results
|
||||
@expected = ();
|
||||
foreach (@queries) {
|
||||
foreach (@queries)
|
||||
{
|
||||
my $res = $node->safe_psql("postgres", "SELECT i FROM tst ORDER BY v $operator '$_' LIMIT $limit;");
|
||||
push(@expected, $res);
|
||||
}
|
||||
|
||||
# Add index
|
||||
my $opclass;
|
||||
if ($operator eq "<->") {
|
||||
$opclass = "vector_l2_ops";
|
||||
} elsif ($operator eq "<#>") {
|
||||
$opclass = "vector_ip_ops";
|
||||
} else {
|
||||
$opclass = "vector_cosine_ops";
|
||||
}
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING hnsw (v $opclass);");
|
||||
|
||||
if ($operator eq "<#>") {
|
||||
test_recall(0.80, $operator);
|
||||
} else {
|
||||
test_recall(0.99, $operator);
|
||||
}
|
||||
my $min = $operator eq "<#>" ? 0.80 : 0.99;
|
||||
test_recall($min, $operator);
|
||||
}
|
||||
|
||||
done_testing();
|
||||
|
||||
@@ -21,7 +21,8 @@ sub test_recall
|
||||
));
|
||||
like($explain, qr/Index Scan/);
|
||||
|
||||
for my $i (0 .. $#queries) {
|
||||
for my $i (0 .. $#queries)
|
||||
{
|
||||
my $actual = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SELECT i FROM tst ORDER BY v $operator '$queries[$i]' LIMIT $limit;
|
||||
@@ -31,8 +32,10 @@ sub test_recall
|
||||
|
||||
my @expected_ids = split("\n", $expected[$i]);
|
||||
|
||||
foreach (@expected_ids) {
|
||||
if (exists($actual_set{$_})) {
|
||||
foreach (@expected_ids)
|
||||
{
|
||||
if (exists($actual_set{$_}))
|
||||
{
|
||||
$correct++;
|
||||
}
|
||||
$total++;
|
||||
@@ -49,10 +52,11 @@ $node->start;
|
||||
|
||||
# Create table
|
||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector(3));");
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (i serial, v vector(3));");
|
||||
|
||||
# Generate queries
|
||||
for (1..20) {
|
||||
for (1 .. 20)
|
||||
{
|
||||
my $r1 = rand();
|
||||
my $r2 = rand();
|
||||
my $r3 = rand();
|
||||
@@ -61,28 +65,32 @@ for (1..20) {
|
||||
|
||||
# Check each index type
|
||||
my @operators = ("<->", "<#>", "<=>");
|
||||
my @opclasses = ("vector_l2_ops", "vector_ip_ops", "vector_cosine_ops");
|
||||
|
||||
foreach (@operators) {
|
||||
my $operator = $_;
|
||||
for my $i (0 .. $#operators)
|
||||
{
|
||||
my $operator = $operators[$i];
|
||||
my $opclass = $opclasses[$i];
|
||||
|
||||
# Add index
|
||||
my $opclass;
|
||||
if ($operator eq "<->") {
|
||||
$opclass = "vector_l2_ops";
|
||||
} elsif ($operator eq "<#>") {
|
||||
$opclass = "vector_ip_ops";
|
||||
} else {
|
||||
$opclass = "vector_cosine_ops";
|
||||
}
|
||||
$node->safe_psql("postgres", "CREATE INDEX idx ON tst USING hnsw (v $opclass);");
|
||||
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[random(), random(), random()] FROM generate_series(1, 10000) i;"
|
||||
# Use concurrent inserts
|
||||
$node->pgbench(
|
||||
"--no-vacuum --client=10 --transactions=1000",
|
||||
0,
|
||||
[qr{actually processed}],
|
||||
[qr{^$}],
|
||||
"concurrent INSERTs",
|
||||
{
|
||||
"013_hnsw_insert_recall_$opclass" => "INSERT INTO tst (v) VALUES (ARRAY[random(), random(), random()]);"
|
||||
}
|
||||
);
|
||||
|
||||
# Get exact results
|
||||
@expected = ();
|
||||
foreach (@queries) {
|
||||
foreach (@queries)
|
||||
{
|
||||
my $res = $node->safe_psql("postgres", qq(
|
||||
SET enable_indexscan = off;
|
||||
SELECT i FROM tst ORDER BY v $operator '$_' LIMIT $limit;
|
||||
@@ -90,11 +98,8 @@ foreach (@operators) {
|
||||
push(@expected, $res);
|
||||
}
|
||||
|
||||
if ($operator eq "<#>") {
|
||||
test_recall(0.80, $operator);
|
||||
} else {
|
||||
test_recall(0.99, $operator);
|
||||
}
|
||||
my $min = $operator eq "<#>" ? 0.80 : 0.99;
|
||||
test_recall($min, $operator);
|
||||
|
||||
$node->safe_psql("postgres", "DROP INDEX idx;");
|
||||
$node->safe_psql("postgres", "TRUNCATE tst;");
|
||||
|
||||
@@ -17,22 +17,8 @@ $node->start;
|
||||
# Create table and index
|
||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (v vector($dim));");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT ARRAY[$array_sql] FROM generate_series(1, 100) i;"
|
||||
);
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING hnsw (v vector_l2_ops);");
|
||||
|
||||
$node->pgbench(
|
||||
"--no-vacuum --client=5 --transactions=100",
|
||||
0,
|
||||
[qr{actually processed}],
|
||||
[qr{^$}],
|
||||
"concurrent INSERTs",
|
||||
{
|
||||
"007_inserts" => "INSERT INTO tst SELECT ARRAY[$array_sql] FROM generate_series(1, 10) i;"
|
||||
}
|
||||
);
|
||||
|
||||
sub idx_scan
|
||||
{
|
||||
# Stats do not update instantaneously
|
||||
@@ -41,18 +27,48 @@ sub idx_scan
|
||||
$node->safe_psql("postgres", "SELECT idx_scan FROM pg_stat_user_indexes WHERE indexrelid = 'tst_v_idx'::regclass;");
|
||||
}
|
||||
|
||||
my $expected = 100 + 5 * 100 * 10;
|
||||
for my $i (1 .. 20)
|
||||
{
|
||||
$node->pgbench(
|
||||
"--no-vacuum --client=10 --transactions=1",
|
||||
0,
|
||||
[qr{actually processed}],
|
||||
[qr{^$}],
|
||||
"concurrent INSERTs",
|
||||
{
|
||||
"014_hnsw_inserts_$i" => "INSERT INTO tst VALUES (ARRAY[$array_sql]);"
|
||||
}
|
||||
);
|
||||
|
||||
my $count = $node->safe_psql("postgres", "SELECT COUNT(*) FROM tst;");
|
||||
is($count, $expected);
|
||||
is(idx_scan(), 0);
|
||||
my $count = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SELECT COUNT(*) FROM (SELECT v FROM tst ORDER BY v <-> (SELECT v FROM tst LIMIT 1)) t;
|
||||
));
|
||||
is($count, 10);
|
||||
|
||||
$count = $node->safe_psql("postgres", qq(
|
||||
$node->safe_psql("postgres", "TRUNCATE tst;");
|
||||
}
|
||||
|
||||
$node->pgbench(
|
||||
"--no-vacuum --client=20 --transactions=5",
|
||||
0,
|
||||
[qr{actually processed}],
|
||||
[qr{^$}],
|
||||
"concurrent INSERTs",
|
||||
{
|
||||
"014_hnsw_inserts" => "INSERT INTO tst SELECT ARRAY[$array_sql] FROM generate_series(1, 10) i;"
|
||||
}
|
||||
);
|
||||
|
||||
my $count = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET hnsw.ef_search = 400;
|
||||
SET hnsw.ef_search = 1000;
|
||||
SELECT COUNT(*) FROM (SELECT v FROM tst ORDER BY v <-> (SELECT v FROM tst LIMIT 1)) t;
|
||||
));
|
||||
is($count, 400);
|
||||
is(idx_scan(), 1);
|
||||
# Elements may lose all incoming connections with the HNSW algorithm
|
||||
# Vacuuming can fix this if one of the elements neighbors is deleted
|
||||
cmp_ok($count, ">=", 997);
|
||||
|
||||
is(idx_scan(), 21);
|
||||
|
||||
done_testing();
|
||||
|
||||
58
test/t/015_hnsw_duplicates.pl
Normal file
58
test/t/015_hnsw_duplicates.pl
Normal file
@@ -0,0 +1,58 @@
|
||||
use strict;
|
||||
use warnings;
|
||||
use PostgresNode;
|
||||
use TestLib;
|
||||
use Test::More;
|
||||
|
||||
# Initialize node
|
||||
my $node = get_new_node('node');
|
||||
$node->init;
|
||||
$node->start;
|
||||
|
||||
# Create table
|
||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (v vector(3));");
|
||||
|
||||
sub insert_vectors
|
||||
{
|
||||
for my $i (1 .. 20)
|
||||
{
|
||||
$node->safe_psql("postgres", "INSERT INTO tst VALUES ('[1,1,1]');");
|
||||
}
|
||||
}
|
||||
|
||||
sub test_duplicates
|
||||
{
|
||||
my $res = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET hnsw.ef_search = 1;
|
||||
SELECT COUNT(*) FROM (SELECT * FROM tst ORDER BY v <-> '[1,1,1]') t;
|
||||
));
|
||||
is($res, 10);
|
||||
}
|
||||
|
||||
# Test duplicates with build
|
||||
insert_vectors();
|
||||
$node->safe_psql("postgres", "CREATE INDEX idx ON tst USING hnsw (v vector_l2_ops);");
|
||||
test_duplicates();
|
||||
|
||||
# Reset
|
||||
$node->safe_psql("postgres", "TRUNCATE tst;");
|
||||
|
||||
# Test duplicates with inserts
|
||||
insert_vectors();
|
||||
test_duplicates();
|
||||
|
||||
# Test fallback path for inserts
|
||||
$node->pgbench(
|
||||
"--no-vacuum --client=5 --transactions=100",
|
||||
0,
|
||||
[qr{actually processed}],
|
||||
[qr{^$}],
|
||||
"concurrent INSERTs",
|
||||
{
|
||||
"015_hnsw_duplicates" => "INSERT INTO tst VALUES ('[1,1,1]');"
|
||||
}
|
||||
);
|
||||
|
||||
done_testing();
|
||||
97
test/t/016_hnsw_vacuum_recall.pl
Normal file
97
test/t/016_hnsw_vacuum_recall.pl
Normal file
@@ -0,0 +1,97 @@
|
||||
use strict;
|
||||
use warnings;
|
||||
use PostgresNode;
|
||||
use TestLib;
|
||||
use Test::More;
|
||||
|
||||
my $node;
|
||||
my @queries = ();
|
||||
my @expected;
|
||||
my $limit = 20;
|
||||
|
||||
sub test_recall
|
||||
{
|
||||
my ($min, $ef_search, $test_name) = @_;
|
||||
my $correct = 0;
|
||||
my $total = 0;
|
||||
|
||||
my $explain = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET hnsw.ef_search = $ef_search;
|
||||
EXPLAIN ANALYZE SELECT i FROM tst ORDER BY v <-> '$queries[0]' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan/);
|
||||
|
||||
for my $i (0 .. $#queries)
|
||||
{
|
||||
my $actual = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET hnsw.ef_search = $ef_search;
|
||||
SELECT i FROM tst ORDER BY v <-> '$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, $test_name);
|
||||
}
|
||||
|
||||
# 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(3));");
|
||||
$node->safe_psql("postgres", "ALTER TABLE tst SET (autovacuum_enabled = false);");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[random(), random(), random()] FROM generate_series(1, 10000) i;"
|
||||
);
|
||||
|
||||
# Add index
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING hnsw (v vector_l2_ops) WITH (m = 4, ef_construction = 8);");
|
||||
|
||||
# Delete data
|
||||
$node->safe_psql("postgres", "DELETE FROM tst WHERE i > 2500;");
|
||||
|
||||
# Generate queries
|
||||
for (1 .. 20)
|
||||
{
|
||||
my $r1 = rand();
|
||||
my $r2 = rand();
|
||||
my $r3 = rand();
|
||||
push(@queries, "[$r1,$r2,$r3]");
|
||||
}
|
||||
|
||||
# Get exact results
|
||||
@expected = ();
|
||||
foreach (@queries)
|
||||
{
|
||||
my $res = $node->safe_psql("postgres", qq(
|
||||
SET enable_indexscan = off;
|
||||
SELECT i FROM tst ORDER BY v <-> '$_' LIMIT $limit;
|
||||
));
|
||||
push(@expected, $res);
|
||||
}
|
||||
|
||||
test_recall(0.20, $limit, "before vacuum");
|
||||
test_recall(0.95, 100, "before vacuum");
|
||||
|
||||
# TODO Test concurrent inserts with vacuum
|
||||
$node->safe_psql("postgres", "VACUUM tst;");
|
||||
|
||||
test_recall(0.95, $limit, "after vacuum");
|
||||
|
||||
done_testing();
|
||||
117
test/t/017_ivfflat_insert_recall.pl
Normal file
117
test/t/017_ivfflat_insert_recall.pl
Normal file
@@ -0,0 +1,117 @@
|
||||
use strict;
|
||||
use warnings;
|
||||
use PostgresNode;
|
||||
use TestLib;
|
||||
use Test::More;
|
||||
|
||||
my $node;
|
||||
my @queries = ();
|
||||
my @expected;
|
||||
my $limit = 20;
|
||||
|
||||
sub test_recall
|
||||
{
|
||||
my ($probes, $min, $operator) = @_;
|
||||
my $correct = 0;
|
||||
my $total = 0;
|
||||
|
||||
my $explain = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET ivfflat.probes = $probes;
|
||||
EXPLAIN ANALYZE SELECT i FROM tst ORDER BY v $operator '$queries[0]' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using idx on tst/);
|
||||
|
||||
for my $i (0 .. $#queries)
|
||||
{
|
||||
my $actual = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET ivfflat.probes = $probes;
|
||||
SELECT i FROM tst 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 serial, v vector(3));");
|
||||
|
||||
# Generate queries
|
||||
for (1 .. 20)
|
||||
{
|
||||
my $r1 = rand();
|
||||
my $r2 = rand();
|
||||
my $r3 = rand();
|
||||
push(@queries, "[$r1,$r2,$r3]");
|
||||
}
|
||||
|
||||
# Check each index type
|
||||
my @operators = ("<->", "<#>", "<=>");
|
||||
my @opclasses = ("vector_l2_ops", "vector_ip_ops", "vector_cosine_ops");
|
||||
|
||||
for my $i (0 .. $#operators)
|
||||
{
|
||||
my $operator = $operators[$i];
|
||||
my $opclass = $opclasses[$i];
|
||||
|
||||
# Add index
|
||||
$node->safe_psql("postgres", "CREATE INDEX idx ON tst USING ivfflat (v $opclass);");
|
||||
|
||||
# Use concurrent inserts
|
||||
$node->pgbench(
|
||||
"--no-vacuum --client=10 --transactions=1000",
|
||||
0,
|
||||
[qr{actually processed}],
|
||||
[qr{^$}],
|
||||
"concurrent INSERTs",
|
||||
{
|
||||
"017_ivfflat_insert_recall_$opclass" => "INSERT INTO tst (v) SELECT ARRAY[random(), random(), random()] FROM generate_series(1, 10) i;"
|
||||
}
|
||||
);
|
||||
|
||||
# Get exact results
|
||||
@expected = ();
|
||||
foreach (@queries)
|
||||
{
|
||||
my $res = $node->safe_psql("postgres", qq(
|
||||
SET enable_indexscan = off;
|
||||
SELECT i FROM tst ORDER BY v $operator '$_' LIMIT $limit;
|
||||
));
|
||||
push(@expected, $res);
|
||||
}
|
||||
|
||||
# Test approximate results
|
||||
if ($operator ne "<#>")
|
||||
{
|
||||
# TODO Fix test (uniform random vectors all have similar inner product)
|
||||
test_recall(1, 0.71, $operator);
|
||||
test_recall(10, 0.95, $operator);
|
||||
}
|
||||
# Account for equal distances
|
||||
test_recall(100, 0.9925, $operator);
|
||||
|
||||
$node->safe_psql("postgres", "DROP INDEX idx;");
|
||||
$node->safe_psql("postgres", "TRUNCATE tst;");
|
||||
}
|
||||
|
||||
done_testing();
|
||||
43
test/t/018_ivfflat_deletes.pl
Normal file
43
test/t/018_ivfflat_deletes.pl
Normal file
@@ -0,0 +1,43 @@
|
||||
use strict;
|
||||
use warnings;
|
||||
use PostgresNode;
|
||||
use TestLib;
|
||||
use Test::More;
|
||||
|
||||
my $dim = 3;
|
||||
|
||||
my $array_sql = join(",", ('random()') x $dim);
|
||||
|
||||
# Initialize node
|
||||
my $node = get_new_node('node');
|
||||
$node->init;
|
||||
$node->start;
|
||||
|
||||
# Create table and index
|
||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (i serial, v vector($dim));");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst (v) SELECT ARRAY[$array_sql] FROM generate_series(1, 10000) i;"
|
||||
);
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v vector_l2_ops);");
|
||||
|
||||
# Delete data
|
||||
$node->safe_psql("postgres", "DELETE FROM tst WHERE i % 100 != 0;");
|
||||
|
||||
my $exp = $node->safe_psql("postgres", qq(
|
||||
SET enable_indexscan = off;
|
||||
SELECT i FROM tst ORDER BY v <-> '[0,0,0]';
|
||||
));
|
||||
|
||||
# Run twice to make sure correct tuples marked as dead
|
||||
for (1 .. 2)
|
||||
{
|
||||
my $res = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET ivfflat.probes = 100;
|
||||
SELECT i FROM tst ORDER BY v <-> '[0,0,0]';
|
||||
));
|
||||
is($res, $exp);
|
||||
}
|
||||
|
||||
done_testing();
|
||||
93
test/t/019_hnsw_array.pl
Normal file
93
test/t/019_hnsw_array.pl
Normal file
@@ -0,0 +1,93 @@
|
||||
use strict;
|
||||
use warnings;
|
||||
use PostgresNode;
|
||||
use TestLib;
|
||||
use Test::More;
|
||||
|
||||
my $node;
|
||||
my @queries = ();
|
||||
my @expected;
|
||||
my $limit = 20;
|
||||
|
||||
sub test_recall
|
||||
{
|
||||
my ($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 ORDER BY v $operator '$queries[0]' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan/);
|
||||
|
||||
for my $i (0 .. $#queries)
|
||||
{
|
||||
my $actual = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SELECT i FROM tst 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 float4[3]);");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[random(), random(), random()] FROM generate_series(1, 10000) i;"
|
||||
);
|
||||
|
||||
# Generate queries
|
||||
for (1 .. 20)
|
||||
{
|
||||
my $r1 = rand();
|
||||
my $r2 = rand();
|
||||
my $r3 = rand();
|
||||
push(@queries, "{$r1,$r2,$r3}");
|
||||
}
|
||||
|
||||
# Check each index type
|
||||
my @operators = ("<->");
|
||||
my @opclasses = ("float4_l2_ops");
|
||||
|
||||
for my $i (0 .. $#operators)
|
||||
{
|
||||
my $operator = $operators[$i];
|
||||
my $opclass = $opclasses[$i];
|
||||
|
||||
# Get exact results
|
||||
@expected = ();
|
||||
foreach (@queries)
|
||||
{
|
||||
my $res = $node->safe_psql("postgres", "SELECT i FROM tst ORDER BY v $operator '$_' LIMIT $limit;");
|
||||
push(@expected, $res);
|
||||
}
|
||||
|
||||
# Add index
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING hnsw (v $opclass) WITH (dimensions = 3);");
|
||||
|
||||
my $min = $operator eq "<#>" ? 0.80 : 0.99;
|
||||
test_recall($min, $operator);
|
||||
}
|
||||
|
||||
done_testing();
|
||||
@@ -1,4 +1,4 @@
|
||||
comment = 'vector data type and ivfflat access method'
|
||||
default_version = '0.4.4'
|
||||
comment = 'vector data type and ivfflat and hnsw access methods'
|
||||
default_version = '0.5.0'
|
||||
module_pathname = '$libdir/vector'
|
||||
relocatable = true
|
||||
|
||||
Reference in New Issue
Block a user