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34 Commits

Author SHA1 Message Date
Andrew Kane
46eda44530 Removed comments [skip ci] 2023-12-18 14:38:10 -05:00
Andrew Kane
02f55399eb Fixed comments [skip ci] 2023-12-18 14:08:48 -05:00
Andrew Kane
a679b584e9 Improved check [skip ci] 2023-12-04 13:59:48 -08:00
Andrew Kane
006e5c7aca Fixed identifier check 2023-12-04 13:53:07 -08:00
Andrew Kane
ba3730d2a5 Fixed identifier check 2023-12-04 13:38:00 -08:00
Andrew Kane
7aea658b26 Added HalfIsInf [skip ci] 2023-12-04 13:33:39 -08:00
Andrew Kane
7620089901 Improved Float8ToHalf [skip ci] 2023-12-04 13:03:59 -08:00
Andrew Kane
544e303d74 Added todo [skip ci] 2023-12-04 13:01:25 -08:00
Andrew Kane
d09aa9f873 Added casts between half to double precision [skip ci] 2023-12-04 12:49:28 -08:00
Andrew Kane
95eff595f0 Added cast from half to numeric [skip ci] 2023-12-04 12:38:34 -08:00
Andrew Kane
4b630d4f27 Added cast from half to real [skip ci] 2023-12-04 12:27:13 -08:00
Andrew Kane
3b2198d52c Removed comment [skip ci] 2023-12-04 10:27:03 -08:00
Andrew Kane
422667f6c6 Added half type 2023-12-03 13:01:47 -08:00
Andrew Kane
4d6739a7af Added Lisp to readme [skip ci] 2023-12-03 10:58:54 -08:00
Andrew Kane
ff744214d0 Added Visual Basic to readme [skip ci] 2023-12-03 00:25:07 -08:00
Andrew Kane
7ca9298163 Updated badge [skip ci] 2023-12-01 15:36:49 -08:00
Andrew Kane
ff3bffd9a8 Moved FAQ [skip ci] 2023-11-29 22:09:09 -08:00
Andrew Kane
014753eb9c Added FAQ about memory [skip ci] 2023-11-29 22:02:27 -08:00
Andrew Kane
6763661d3d Added OCaml to readme [skip ci] 2023-11-28 21:42:30 -08:00
Andrew Kane
d287921d15 Added F# to readme [skip ci] 2023-11-28 01:22:12 -08:00
Andrew Kane
5b12ae8225 Added note about ef_construction [skip ci] 2023-11-16 18:53:48 -08:00
Japin Li
4549e8aeb1 Fix coredump about HnswFreeElement() (#357)
The HnswInitElement() allocate an element with not initialize value
filed, which may has garbage that lead HnswFreeElement() free an
invalid pointer.
2023-11-15 16:19:59 -08:00
Andrew Kane
3263b350f5 Updated HnswLoadElementFromTuple to be less vector-specific 2023-11-11 21:14:12 -08:00
Andrew Kane
dfee5d4045 Added support for on-disk parallel index builds for HNSW 2023-11-11 19:29:45 -08:00
Andrew Kane
69a2ce0d43 Use datumIsEqual to compare 2023-11-10 10:46:48 -08:00
Andrew Kane
c5e8c46b80 Switched from VECTOR_SIZE to VARSIZE_ANY [skip ci] 2023-11-09 19:41:38 -08:00
Andrew Kane
94f7304ccd Keep vector for now to be overly cautious about packing [skip ci] 2023-11-09 18:43:55 -08:00
Andrew Kane
d078db3d25 Switched HnswElementTuple to generic data and zero full section 2023-11-09 18:28:25 -08:00
Andrew Kane
fbb904ae2f Use pointer for VARSIZE_ANY 2023-11-09 17:50:28 -08:00
Andrew Kane
3cf6f62900 Switched to datum for HnswElement 2023-11-09 17:35:39 -08:00
Andrew Kane
2a69e22ca4 Switched from VECTOR_SIZE to VARSIZE_ANY where possible (less vector-specific) 2023-11-09 17:16:43 -08:00
Andrew Kane
84e073888c Removed vector-specific code from HNSW_ELEMENT_TUPLE_SIZE [skip ci] 2023-11-09 16:57:01 -08:00
Andrew Kane
81a62d55d1 Switched from HNSW_ELEMENT_TUPLE_SIZE to ItemIdGetLength where possible (less vector-specific) 2023-11-09 16:32:00 -08:00
Andrew Kane
3f3463bde5 Improved memory calculation for HNSW and removed vector-specific code 2023-11-09 16:21:26 -08:00
27 changed files with 1711 additions and 1120 deletions

View File

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

View File

@@ -1,6 +1,6 @@
## 0.6.0 (unreleased)
## 0.5.2 (unreleased)
- Added support for sparse vectors
- Added support for on-disk parallel index builds for HNSW
## 0.5.1 (2023-10-10)

View File

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

View File

@@ -1,8 +1,8 @@
EXTENSION = vector
EXTVERSION = 0.5.1
OBJS = src\hnsw.obj src\hnswbuild.obj src\hnswinsert.obj src\hnswscan.obj src\hnswutils.obj src\hnswvacuum.obj src\ivfbuild.obj src\ivfflat.obj src\ivfinsert.obj src\ivfkmeans.obj src\ivfscan.obj src\ivfutils.obj src\ivfvacuum.obj src\svector.obj src\vector.obj
HEADERS = src\svector.h src\vector.h
OBJS = src\half.obj src\hnsw.obj src\hnswbuild.obj src\hnswinsert.obj src\hnswscan.obj src\hnswutils.obj src\hnswvacuum.obj src\ivfbuild.obj src\ivfflat.obj src\ivfinsert.obj src\ivfkmeans.obj src\ivfscan.obj src\ivfutils.obj src\ivfvacuum.obj src\vector.obj
HEADERS = src\half.h 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=$(EXTENSION)

View File

@@ -10,7 +10,7 @@ Store your vectors with the rest of your data. Supports:
Plus [ACID](https://en.wikipedia.org/wiki/ACID) compliance, point-in-time recovery, JOINs, and all of the other [great features](https://www.postgresql.org/about/) of Postgres
[![Build Status](https://github.com/pgvector/pgvector/workflows/build/badge.svg?branch=master)](https://github.com/pgvector/pgvector/actions)
[![Build Status](https://github.com/pgvector/pgvector/actions/workflows/build.yml/badge.svg)](https://github.com/pgvector/pgvector/actions)
## Installation
@@ -269,6 +269,8 @@ Specify HNSW parameters
CREATE INDEX ON items USING hnsw (embedding vector_l2_ops) WITH (m = 16, ef_construction = 64);
```
A higher value of `ef_construction` provides better recall at the cost of index build time / insert speed.
### Query Options
Specify the size of the dynamic candidate list for search (40 by default)
@@ -369,26 +371,6 @@ To speed up queries with an IVFFlat index, increase the number of inverted lists
CREATE INDEX ON items USING ivfflat (embedding vector_l2_ops) WITH (lists = 1000);
```
## Sparse Vectors
Create a sparse vector column with 10 dimensions
```sql
CREATE TABLE items (id bigserial PRIMARY KEY, embedding svector(10));
```
Insert vectors
```sql
INSERT INTO items (embedding) VALUES ('(0,1),(1,2),(2,3)|10|'), ('(0,4),(1,5),(4,6)|10|');
```
Get the nearest neighbors by L2 distance
```sql
SELECT * FROM items ORDER BY embedding <-> '(0,3),(1,1),(2,2)|10|' LIMIT 5;
```
## Languages
Use pgvector from any language with a Postgres client. You can even generate and store vectors in one language and query them in another.
@@ -397,7 +379,7 @@ Language | Libraries / Examples
--- | ---
C | [pgvector-c](https://github.com/pgvector/pgvector-c)
C++ | [pgvector-cpp](https://github.com/pgvector/pgvector-cpp)
C# | [pgvector-dotnet](https://github.com/pgvector/pgvector-dotnet)
C#, F#, Visual Basic | [pgvector-dotnet](https://github.com/pgvector/pgvector-dotnet)
Crystal | [pgvector-crystal](https://github.com/pgvector/pgvector-crystal)
Dart | [pgvector-dart](https://github.com/pgvector/pgvector-dart)
Elixir | [pgvector-elixir](https://github.com/pgvector/pgvector-elixir)
@@ -406,8 +388,10 @@ Haskell | [pgvector-haskell](https://github.com/pgvector/pgvector-haskell)
Java, Kotlin, Groovy, Scala | [pgvector-java](https://github.com/pgvector/pgvector-java)
JavaScript, TypeScript | [pgvector-node](https://github.com/pgvector/pgvector-node)
Julia | [pgvector-julia](https://github.com/pgvector/pgvector-julia)
Lisp | [pgvector-lisp](https://github.com/pgvector/pgvector-lisp)
Lua | [pgvector-lua](https://github.com/pgvector/pgvector-lua)
Nim | [pgvector-nim](https://github.com/pgvector/pgvector-nim)
OCaml | [pgvector-ocaml](https://github.com/pgvector/pgvector-ocaml)
Perl | [pgvector-perl](https://github.com/pgvector/pgvector-perl)
PHP | [pgvector-php](https://github.com/pgvector/pgvector-php)
Python | [pgvector-python](https://github.com/pgvector/pgvector-python)
@@ -480,6 +464,14 @@ and query with:
SELECT * FROM items ORDER BY embedding::vector(3) <-> '[3,1,2]' LIMIT 5;
```
#### Do indexes need to fit into memory?
No, but like other index types, youll likely see better performance if they do. You can get the size of an index with:
```sql
SELECT pg_size_pretty(pg_relation_size('index_name'));
```
## Troubleshooting
#### Why isnt a query using an index?

View File

@@ -1,79 +1,101 @@
-- complain if script is sourced in psql, rather than via CREATE EXTENSION
\echo Use "ALTER EXTENSION vector UPDATE TO '0.6.0'" to load this file. \quit
CREATE TYPE svector;
CREATE TYPE half;
CREATE FUNCTION svector_in(cstring, oid, integer) RETURNS svector
CREATE FUNCTION half_in(cstring, oid, integer) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION svector_out(svector) RETURNS cstring
CREATE FUNCTION half_out(half) RETURNS cstring
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION svector_typmod_in(cstring[]) RETURNS integer
CREATE FUNCTION half_recv(internal, oid, integer) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION svector_recv(internal, oid, integer) RETURNS svector
CREATE FUNCTION half_send(half) RETURNS bytea
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION svector_send(svector) RETURNS bytea
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE TYPE svector (
INPUT = svector_in,
OUTPUT = svector_out,
TYPMOD_IN = svector_typmod_in,
RECEIVE = svector_recv,
SEND = svector_send,
STORAGE = external
CREATE TYPE half (
INPUT = half_in,
OUTPUT = half_out,
RECEIVE = half_recv,
SEND = half_send,
INTERNALLENGTH = 2,
PASSEDBYVALUE,
ALIGNMENT = int2
);
CREATE FUNCTION l2_distance(svector, svector) RETURNS float8
AS 'MODULE_PATHNAME', 'svector_l2_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION l2_distance(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME', 'half_l2_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION inner_product(svector, svector) RETURNS float8
AS 'MODULE_PATHNAME', 'svector_inner_product' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION inner_product(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME', 'half_inner_product' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION cosine_distance(svector, svector) RETURNS float8
AS 'MODULE_PATHNAME', 'svector_cosine_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION cosine_distance(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME', 'half_cosine_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION jaccard_distance(svector, svector) RETURNS float8
AS 'MODULE_PATHNAME', 'svector_jaccard_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION l1_distance(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME', 'half_l1_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION svector_l2_squared_distance(svector, svector) RETURNS float8
CREATE FUNCTION half_l2_squared_distance(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION svector_negative_inner_product(svector, svector) RETURNS float8
CREATE FUNCTION half_negative_inner_product(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION svector(svector, integer, boolean) RETURNS svector
CREATE FUNCTION float4_to_half(real, integer, boolean) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION vector_to_svector(vector, integer, boolean) RETURNS svector
CREATE FUNCTION half_to_float4(half, integer, boolean) RETURNS real
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION svector_to_vector(svector, integer, boolean) RETURNS vector
CREATE FUNCTION float8_to_half(float8, integer, boolean) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE CAST (svector AS svector)
WITH FUNCTION svector(svector, integer, boolean) AS IMPLICIT;
CREATE FUNCTION half_to_float8(half, integer, boolean) RETURNS float8
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE CAST (svector AS vector)
WITH FUNCTION svector_to_vector(svector, integer, boolean) AS IMPLICIT;
CREATE FUNCTION integer_to_half(integer, integer, boolean) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE CAST (vector AS svector)
WITH FUNCTION vector_to_svector(vector, integer, boolean) AS IMPLICIT;
CREATE FUNCTION numeric_to_half(numeric, integer, boolean) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION half_to_numeric(half, integer, boolean) RETURNS numeric
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE CAST (real AS half)
WITH FUNCTION float4_to_half(real, integer, boolean) AS IMPLICIT;
CREATE CAST (half AS real)
WITH FUNCTION half_to_float4(half, integer, boolean) AS IMPLICIT;
CREATE CAST (float8 AS half)
WITH FUNCTION float8_to_half(float8, integer, boolean) AS IMPLICIT;
CREATE CAST (half AS float8)
WITH FUNCTION half_to_float8(half, integer, boolean) AS IMPLICIT;
CREATE CAST (integer AS half)
WITH FUNCTION integer_to_half(integer, integer, boolean) AS IMPLICIT;
CREATE CAST (numeric AS half)
WITH FUNCTION numeric_to_half(numeric, integer, boolean) AS IMPLICIT;
CREATE CAST (half AS numeric)
WITH FUNCTION half_to_numeric(half, integer, boolean) AS IMPLICIT;
CREATE OPERATOR <-> (
LEFTARG = svector, RIGHTARG = svector, PROCEDURE = l2_distance,
LEFTARG = half[], RIGHTARG = half[], PROCEDURE = l2_distance,
COMMUTATOR = '<->'
);
CREATE OPERATOR <#> (
LEFTARG = svector, RIGHTARG = svector, PROCEDURE = svector_negative_inner_product,
LEFTARG = half[], RIGHTARG = half[], PROCEDURE = half_negative_inner_product,
COMMUTATOR = '<#>'
);
CREATE OPERATOR <=> (
LEFTARG = svector, RIGHTARG = svector, PROCEDURE = cosine_distance,
LEFTARG = half[], RIGHTARG = half[], PROCEDURE = cosine_distance,
COMMUTATOR = '<=>'
);

View File

@@ -291,91 +291,113 @@ CREATE OPERATOR CLASS vector_cosine_ops
FUNCTION 1 vector_negative_inner_product(vector, vector),
FUNCTION 2 vector_norm(vector);
--- svector type
-- half type
CREATE TYPE svector;
CREATE TYPE half;
CREATE FUNCTION svector_in(cstring, oid, integer) RETURNS svector
CREATE FUNCTION half_in(cstring, oid, integer) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION svector_out(svector) RETURNS cstring
CREATE FUNCTION half_out(half) RETURNS cstring
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION svector_typmod_in(cstring[]) RETURNS integer
CREATE FUNCTION half_recv(internal, oid, integer) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION svector_recv(internal, oid, integer) RETURNS svector
CREATE FUNCTION half_send(half) RETURNS bytea
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION svector_send(svector) RETURNS bytea
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE TYPE svector (
INPUT = svector_in,
OUTPUT = svector_out,
TYPMOD_IN = svector_typmod_in,
RECEIVE = svector_recv,
SEND = svector_send,
STORAGE = external
CREATE TYPE half (
INPUT = half_in,
OUTPUT = half_out,
RECEIVE = half_recv,
SEND = half_send,
INTERNALLENGTH = 2,
PASSEDBYVALUE,
ALIGNMENT = int2
);
-- svector functions
-- half functions
CREATE FUNCTION l2_distance(svector, svector) RETURNS float8
AS 'MODULE_PATHNAME', 'svector_l2_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION l2_distance(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME', 'half_l2_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION inner_product(svector, svector) RETURNS float8
AS 'MODULE_PATHNAME', 'svector_inner_product' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION inner_product(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME', 'half_inner_product' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION cosine_distance(svector, svector) RETURNS float8
AS 'MODULE_PATHNAME', 'svector_cosine_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION cosine_distance(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME', 'half_cosine_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION jaccard_distance(svector, svector) RETURNS float8
AS 'MODULE_PATHNAME', 'svector_jaccard_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION l1_distance(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME', 'half_l1_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-- svector private functions
-- half private functions
CREATE FUNCTION svector_l2_squared_distance(svector, svector) RETURNS float8
CREATE FUNCTION half_l2_squared_distance(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION svector_negative_inner_product(svector, svector) RETURNS float8
CREATE FUNCTION half_negative_inner_product(half[], half[]) RETURNS float8
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-- svector cast functions
-- half cast functions
CREATE FUNCTION svector(svector, integer, boolean) RETURNS svector
CREATE FUNCTION float4_to_half(real, integer, boolean) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION vector_to_svector(vector, integer, boolean) RETURNS svector
CREATE FUNCTION half_to_float4(half, integer, boolean) RETURNS real
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION svector_to_vector(svector, integer, boolean) RETURNS vector
CREATE FUNCTION float8_to_half(float8, integer, boolean) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-- svector casts
CREATE FUNCTION half_to_float8(half, integer, boolean) RETURNS float8
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE CAST (svector AS svector)
WITH FUNCTION svector(svector, integer, boolean) AS IMPLICIT;
CREATE FUNCTION integer_to_half(integer, integer, boolean) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE CAST (svector AS vector)
WITH FUNCTION svector_to_vector(svector, integer, boolean) AS IMPLICIT;
CREATE FUNCTION numeric_to_half(numeric, integer, boolean) RETURNS half
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE CAST (vector AS svector)
WITH FUNCTION vector_to_svector(vector, integer, boolean) AS IMPLICIT;
CREATE FUNCTION half_to_numeric(half, integer, boolean) RETURNS numeric
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
-- svector operators
-- half casts
CREATE CAST (real AS half)
WITH FUNCTION float4_to_half(real, integer, boolean) AS IMPLICIT;
CREATE CAST (half AS real)
WITH FUNCTION half_to_float4(half, integer, boolean) AS IMPLICIT;
CREATE CAST (float8 AS half)
WITH FUNCTION float8_to_half(float8, integer, boolean) AS IMPLICIT;
CREATE CAST (half AS float8)
WITH FUNCTION half_to_float8(half, integer, boolean) AS IMPLICIT;
CREATE CAST (integer AS half)
WITH FUNCTION integer_to_half(integer, integer, boolean) AS IMPLICIT;
CREATE CAST (numeric AS half)
WITH FUNCTION numeric_to_half(numeric, integer, boolean) AS IMPLICIT;
CREATE CAST (half AS numeric)
WITH FUNCTION half_to_numeric(half, integer, boolean) AS IMPLICIT;
-- half operators
CREATE OPERATOR <-> (
LEFTARG = svector, RIGHTARG = svector, PROCEDURE = l2_distance,
LEFTARG = half[], RIGHTARG = half[], PROCEDURE = l2_distance,
COMMUTATOR = '<->'
);
CREATE OPERATOR <#> (
LEFTARG = svector, RIGHTARG = svector, PROCEDURE = svector_negative_inner_product,
LEFTARG = half[], RIGHTARG = half[], PROCEDURE = half_negative_inner_product,
COMMUTATOR = '<#>'
);
CREATE OPERATOR <=> (
LEFTARG = svector, RIGHTARG = svector, PROCEDURE = cosine_distance,
LEFTARG = half[], RIGHTARG = half[], PROCEDURE = cosine_distance,
COMMUTATOR = '<=>'
);

694
src/half.c Normal file
View File

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

23
src/half.h Normal file
View File

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

View File

@@ -14,6 +14,7 @@
#endif
int hnsw_ef_search;
bool hnsw_enable_parallel_build;
static relopt_kind hnsw_relopt_kind;
/*
@@ -39,6 +40,11 @@ HnswInit(void)
DefineCustomIntVariable("hnsw.ef_search", "Sets the size of the dynamic candidate list for search",
"Valid range is 1..1000.", &hnsw_ef_search,
HNSW_DEFAULT_EF_SEARCH, HNSW_MIN_EF_SEARCH, HNSW_MAX_EF_SEARCH, PGC_USERSET, 0, NULL, NULL, NULL);
/* Behind a variable for now since can be slower than building in memory */
DefineCustomBoolVariable("hnsw.enable_parallel_build", "Enables or disables building indexes in parallel",
NULL, &hnsw_enable_parallel_build,
false, PGC_USERSET, 0, NULL, NULL, NULL);
}
/*

View File

@@ -4,6 +4,7 @@
#include "postgres.h"
#include "access/generic_xlog.h"
#include "access/parallel.h"
#include "access/reloptions.h"
#include "nodes/execnodes.h"
#include "port.h" /* for random() */
@@ -14,6 +15,10 @@
#error "Requires PostgreSQL 11+"
#endif
#if PG_VERSION_NUM < 120000
#include "access/relscan.h"
#endif
#define HNSW_MAX_DIM 2000
/* Support functions */
@@ -59,7 +64,7 @@
#define HNSW_MAX_SIZE (BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(HnswPageOpaqueData)) - sizeof(ItemIdData))
#define HNSW_ELEMENT_TUPLE_SIZE(_dim) MAXALIGN(offsetof(HnswElementTupleData, vec) + VECTOR_SIZE(_dim))
#define HNSW_ELEMENT_TUPLE_SIZE(size) MAXALIGN(offsetof(HnswElementTupleData, data) + (size))
#define HNSW_NEIGHBOR_TUPLE_SIZE(level, m) MAXALIGN(offsetof(HnswNeighborTupleData, indextids) + ((level) + 2) * (m) * sizeof(ItemPointerData))
#define HnswPageGetOpaque(page) ((HnswPageOpaque) PageGetSpecialPointer(page))
@@ -90,6 +95,7 @@
/* Variables */
extern int hnsw_ef_search;
extern bool hnsw_enable_parallel_build;
typedef struct HnswNeighborArray HnswNeighborArray;
@@ -103,7 +109,7 @@ typedef struct HnswElementData
OffsetNumber offno;
OffsetNumber neighborOffno;
BlockNumber neighborPage;
Vector *vec;
Datum value;
} HnswElementData;
typedef HnswElementData * HnswElement;
@@ -136,6 +142,49 @@ typedef struct HnswOptions
int efConstruction; /* size of dynamic candidate list */
} HnswOptions;
typedef struct HnswSpool
{
Relation heap;
Relation index;
} HnswSpool;
typedef struct HnswShared
{
/* Immutable state */
Oid heaprelid;
Oid indexrelid;
bool isconcurrent;
int scantuplesortstates;
/* Worker progress */
ConditionVariable workersdonecv;
/* Mutex for mutable state */
slock_t mutex;
/* Mutable state */
int nparticipantsdone;
double reltuples;
double indtuples;
#if PG_VERSION_NUM < 120000
ParallelHeapScanDescData heapdesc; /* must come last */
#endif
} HnswShared;
#if PG_VERSION_NUM >= 120000
#define ParallelTableScanFromHnswShared(shared) \
(ParallelTableScanDesc) ((char *) (shared) + BUFFERALIGN(sizeof(HnswShared)))
#endif
typedef struct HnswLeader
{
ParallelContext *pcxt;
int nparticipanttuplesorts;
HnswShared *hnswshared;
Snapshot snapshot;
} HnswLeader;
typedef struct HnswBuildState
{
/* Info */
@@ -163,12 +212,16 @@ typedef struct HnswBuildState
HnswElement entryPoint;
double ml;
int maxLevel;
double maxInMemoryElements;
long memoryLeft;
bool flushed;
Vector *normvec;
/* Memory */
MemoryContext tmpCtx;
/* Parallel builds */
HnswLeader *hnswleader;
HnswShared *hnswshared;
} HnswBuildState;
typedef struct HnswMetaPageData
@@ -204,7 +257,7 @@ typedef struct HnswElementTupleData
ItemPointerData heaptids[HNSW_HEAPTIDS];
ItemPointerData neighbortid;
uint16 unused2;
Vector vec;
Vector data;
} HnswElementTupleData;
typedef HnswElementTupleData * HnswElementTuple;
@@ -289,6 +342,7 @@ void HnswLoadElement(HnswElement element, float *distance, Datum *q, Relation i
void HnswSetElementTuple(HnswElementTuple etup, HnswElement element);
void HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int *updateIdx, Relation index, FmgrInfo *procinfo, Oid collation);
void HnswLoadNeighbors(HnswElement element, Relation index, int m);
PGDLLEXPORT void HnswParallelBuildMain(dsm_segment *seg, shm_toc *toc);
/* Index access methods */
IndexBuildResult *hnswbuild(Relation heap, Relation index, IndexInfo *indexInfo);

View File

@@ -2,12 +2,16 @@
#include <math.h>
#include "access/parallel.h"
#include "access/xact.h"
#include "catalog/index.h"
#include "hnsw.h"
#include "miscadmin.h"
#include "lib/pairingheap.h"
#include "nodes/pg_list.h"
#include "storage/bufmgr.h"
#include "tcop/tcopprot.h"
#include "utils/datum.h"
#include "utils/memutils.h"
#if PG_VERSION_NUM >= 140000
@@ -35,6 +39,23 @@
#define UpdateProgress(index, val) ((void)val)
#endif
#if PG_VERSION_NUM >= 140000
#include "utils/backend_status.h"
#include "utils/wait_event.h"
#endif
#if PG_VERSION_NUM >= 120000
#include "access/table.h"
#include "optimizer/optimizer.h"
#else
#include "access/heapam.h"
#include "optimizer/planner.h"
#include "pgstat.h"
#endif
#define PARALLEL_KEY_HNSW_SHARED UINT64CONST(0xA000000000000001)
#define PARALLEL_KEY_QUERY_TEXT UINT64CONST(0xA000000000000002)
/*
* Create the metapage
*/
@@ -105,8 +126,7 @@ CreateElementPages(HnswBuildState * buildstate)
{
Relation index = buildstate->index;
ForkNumber forkNum = buildstate->forkNum;
int dimensions = buildstate->dimensions;
Size etupSize;
Size etupAllocSize;
Size maxSize;
HnswElementTuple etup;
HnswNeighborTuple ntup;
@@ -117,11 +137,11 @@ CreateElementPages(HnswBuildState * buildstate)
ListCell *lc;
/* Calculate sizes */
etupAllocSize = BLCKSZ;
maxSize = HNSW_MAX_SIZE;
etupSize = HNSW_ELEMENT_TUPLE_SIZE(dimensions);
/* Allocate once */
etup = palloc0(etupSize);
etup = palloc0(etupAllocSize);
ntup = palloc0(BLCKSZ);
/* Prepare first page */
@@ -133,15 +153,24 @@ CreateElementPages(HnswBuildState * buildstate)
foreach(lc, buildstate->elements)
{
HnswElement element = lfirst(lc);
Size etupSize;
Size ntupSize;
Size combinedSize;
HnswSetElementTuple(etup, element);
/* Zero memory for each element */
MemSet(etup, 0, etupAllocSize);
/* Calculate sizes */
etupSize = HNSW_ELEMENT_TUPLE_SIZE(VARSIZE_ANY(DatumGetPointer(element->value)));
ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(element->level, buildstate->m);
combinedSize = etupSize + ntupSize + sizeof(ItemIdData);
/* Initial size check */
if (etupSize > etupAllocSize)
elog(ERROR, "index tuple too large");
HnswSetElementTuple(etup, element);
/* Keep element and neighbors on the same page if possible */
if (PageGetFreeSpace(page) < etupSize || (combinedSize <= maxSize && PageGetFreeSpace(page) < combinedSize))
HnswBuildAppendPage(index, &buf, &page, &state, forkNum);
@@ -264,13 +293,14 @@ FlushPages(HnswBuildState * buildstate)
* Insert tuple
*/
static bool
InsertTuple(Relation index, Datum *values, HnswElement element, HnswBuildState * buildstate, HnswElement * dup)
InsertTuple(Relation index, Datum *values, HnswElement element, HnswBuildState * buildstate, HnswElement * dup, MemoryContext outerCtx)
{
FmgrInfo *procinfo = buildstate->procinfo;
Oid collation = buildstate->collation;
HnswElement entryPoint = buildstate->entryPoint;
int efConstruction = buildstate->efConstruction;
int m = buildstate->m;
MemoryContext oldCtx;
/* Detoast once for all calls */
Datum value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
@@ -283,7 +313,9 @@ InsertTuple(Relation index, Datum *values, HnswElement element, HnswBuildState *
}
/* Copy value to element so accessible outside of memory context */
memcpy(element->vec, DatumGetVector(value), VECTOR_SIZE(buildstate->dimensions));
oldCtx = MemoryContextSwitchTo(outerCtx);
element->value = datumCopy(value, false, -1);
MemoryContextSwitchTo(oldCtx);
/* Insert element in graph */
HnswInsertElement(element, entryPoint, NULL, procinfo, collation, m, efConstruction, false);
@@ -313,6 +345,21 @@ InsertTuple(Relation index, Datum *values, HnswElement element, HnswBuildState *
return *dup == NULL;
}
/*
* Get the memory used by an element
*/
static long
HnswElementMemory(HnswElement e, int m)
{
long elementSize = sizeof(HnswElementData);
elementSize += sizeof(HnswNeighborArray) * (e->level + 1);
elementSize += sizeof(HnswCandidate) * (m * (e->level + 2));
elementSize += sizeof(ItemPointerData);
elementSize += VARSIZE_ANY(DatumGetPointer(e->value));
return elementSize;
}
/*
* Callback for table_index_build_scan
*/
@@ -334,7 +381,7 @@ BuildCallback(Relation index, CALLBACK_ITEM_POINTER, Datum *values,
if (isnull[0])
return;
if (buildstate->indtuples >= buildstate->maxInMemoryElements)
if (buildstate->memoryLeft <= 0)
{
if (!buildstate->flushed)
{
@@ -349,7 +396,18 @@ BuildCallback(Relation index, CALLBACK_ITEM_POINTER, Datum *values,
oldCtx = MemoryContextSwitchTo(buildstate->tmpCtx);
if (HnswInsertTuple(buildstate->index, values, isnull, tid, buildstate->heap))
{
if (buildstate->hnswshared)
{
HnswShared *hnswshared = buildstate->hnswshared;
SpinLockAcquire(&hnswshared->mutex);
UpdateProgress(PROGRESS_CREATEIDX_TUPLES_DONE, ++hnswshared->indtuples);
SpinLockRelease(&hnswshared->mutex);
}
else
UpdateProgress(PROGRESS_CREATEIDX_TUPLES_DONE, ++buildstate->indtuples);
}
/* Reset memory context */
MemoryContextSwitchTo(oldCtx);
@@ -360,13 +418,12 @@ 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);
/* Insert tuple */
inserted = InsertTuple(index, values, element, buildstate, &dup);
inserted = InsertTuple(index, values, element, buildstate, &dup, oldCtx);
/* Reset memory context */
MemoryContextSwitchTo(oldCtx);
@@ -374,31 +431,21 @@ BuildCallback(Relation index, CALLBACK_ITEM_POINTER, Datum *values,
/* Add outside memory context */
if (dup != NULL)
{
HnswAddHeapTid(dup, tid);
buildstate->memoryLeft -= sizeof(ItemPointerData);
}
/* Add to buildstate or free */
if (inserted)
{
buildstate->elements = lappend(buildstate->elements, element);
buildstate->memoryLeft -= HnswElementMemory(element, buildstate->m);
}
else
HnswFreeElement(element);
}
/*
* Get the max number of elements that fit into maintenance_work_mem
*/
static double
HnswGetMaxInMemoryElements(int m, double ml, int dimensions)
{
Size elementSize = sizeof(HnswElementData);
double avgLevel = -log(0.5) * ml;
elementSize += sizeof(HnswNeighborArray) * (avgLevel + 1);
elementSize += sizeof(HnswCandidate) * (m * (avgLevel + 2));
elementSize += sizeof(ItemPointerData);
elementSize += VECTOR_SIZE(dimensions);
return (maintenance_work_mem * 1024L) / elementSize;
}
/*
* Initialize the build state
*/
@@ -436,7 +483,7 @@ InitBuildState(HnswBuildState * buildstate, Relation heap, Relation index, Index
buildstate->entryPoint = NULL;
buildstate->ml = HnswGetMl(buildstate->m);
buildstate->maxLevel = HnswGetMaxLevel(buildstate->m);
buildstate->maxInMemoryElements = HnswGetMaxInMemoryElements(buildstate->m, buildstate->ml, buildstate->dimensions);
buildstate->memoryLeft = maintenance_work_mem * 1024L;
buildstate->flushed = false;
/* Reuse for each tuple */
@@ -445,6 +492,9 @@ InitBuildState(HnswBuildState * buildstate, Relation heap, Relation index, Index
buildstate->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
"Hnsw build temporary context",
ALLOCSET_DEFAULT_SIZES);
buildstate->hnswleader = NULL;
buildstate->hnswshared = NULL;
}
/*
@@ -457,14 +507,362 @@ FreeBuildState(HnswBuildState * buildstate)
MemoryContextDelete(buildstate->tmpCtx);
}
/*
* Within leader, wait for end of heap scan
*/
static double
ParallelHeapScan(HnswBuildState * buildstate)
{
HnswShared *hnswshared = buildstate->hnswleader->hnswshared;
int nparticipanttuplesorts;
double reltuples;
nparticipanttuplesorts = buildstate->hnswleader->nparticipanttuplesorts;
for (;;)
{
SpinLockAcquire(&hnswshared->mutex);
if (hnswshared->nparticipantsdone == nparticipanttuplesorts)
{
buildstate->indtuples = hnswshared->indtuples;
reltuples = hnswshared->reltuples;
SpinLockRelease(&hnswshared->mutex);
break;
}
SpinLockRelease(&hnswshared->mutex);
ConditionVariableSleep(&hnswshared->workersdonecv,
WAIT_EVENT_PARALLEL_CREATE_INDEX_SCAN);
}
ConditionVariableCancelSleep();
return reltuples;
}
/*
* Perform a worker's portion of a parallel insert
*/
static void
HnswParallelScanAndInsert(HnswSpool * hnswspool, HnswShared * hnswshared, bool progress)
{
HnswBuildState buildstate;
#if PG_VERSION_NUM >= 120000
TableScanDesc scan;
#else
HeapScanDesc scan;
#endif
double reltuples;
IndexInfo *indexInfo;
/* Join parallel scan */
indexInfo = BuildIndexInfo(hnswspool->index);
indexInfo->ii_Concurrent = hnswshared->isconcurrent;
InitBuildState(&buildstate, hnswspool->heap, hnswspool->index, indexInfo, MAIN_FORKNUM);
/* TODO Support in-memory builds */
buildstate.memoryLeft = 0;
buildstate.flushed = true;
buildstate.hnswshared = hnswshared;
#if PG_VERSION_NUM >= 120000
scan = table_beginscan_parallel(hnswspool->heap,
ParallelTableScanFromHnswShared(hnswshared));
reltuples = table_index_build_scan(hnswspool->heap, hnswspool->index, indexInfo,
true, progress, BuildCallback,
(void *) &buildstate, scan);
#else
scan = heap_beginscan_parallel(hnswspool->heap, &hnswshared->heapdesc);
reltuples = IndexBuildHeapScan(hnswspool->heap, hnswspool->index, indexInfo,
true, BuildCallback,
(void *) &buildstate, scan);
#endif
/* Record statistics */
SpinLockAcquire(&hnswshared->mutex);
hnswshared->nparticipantsdone++;
hnswshared->reltuples += reltuples;
SpinLockRelease(&hnswshared->mutex);
/* Log statistics */
if (progress)
ereport(DEBUG1, (errmsg("leader processed " INT64_FORMAT " tuples", (int64) reltuples)));
else
ereport(DEBUG1, (errmsg("worker processed " INT64_FORMAT " tuples", (int64) reltuples)));
/* Notify leader */
ConditionVariableSignal(&hnswshared->workersdonecv);
FreeBuildState(&buildstate);
}
/*
* Perform work within a launched parallel process
*/
void
HnswParallelBuildMain(dsm_segment *seg, shm_toc *toc)
{
char *sharedquery;
HnswSpool *hnswspool;
HnswShared *hnswshared;
Relation heapRel;
Relation indexRel;
LOCKMODE heapLockmode;
LOCKMODE indexLockmode;
/* Set debug_query_string for individual workers first */
sharedquery = shm_toc_lookup(toc, PARALLEL_KEY_QUERY_TEXT, true);
debug_query_string = sharedquery;
/* Report the query string from leader */
pgstat_report_activity(STATE_RUNNING, debug_query_string);
/* Look up shared state */
hnswshared = shm_toc_lookup(toc, PARALLEL_KEY_HNSW_SHARED, false);
/* Open relations using lock modes known to be obtained by index.c */
if (!hnswshared->isconcurrent)
{
heapLockmode = ShareLock;
indexLockmode = AccessExclusiveLock;
}
else
{
heapLockmode = ShareUpdateExclusiveLock;
indexLockmode = RowExclusiveLock;
}
/* Open relations within worker */
#if PG_VERSION_NUM >= 120000
heapRel = table_open(hnswshared->heaprelid, heapLockmode);
#else
heapRel = heap_open(hnswshared->heaprelid, heapLockmode);
#endif
indexRel = index_open(hnswshared->indexrelid, indexLockmode);
/* Initialize worker's own spool */
hnswspool = (HnswSpool *) palloc0(sizeof(HnswSpool));
hnswspool->heap = heapRel;
hnswspool->index = indexRel;
/* Perform inserts */
HnswParallelScanAndInsert(hnswspool, hnswshared, false);
/* Close relations within worker */
index_close(indexRel, indexLockmode);
#if PG_VERSION_NUM >= 120000
table_close(heapRel, heapLockmode);
#else
heap_close(heapRel, heapLockmode);
#endif
}
/*
* End parallel build
*/
static void
HnswEndParallel(HnswLeader * hnswleader)
{
/* Shutdown worker processes */
WaitForParallelWorkersToFinish(hnswleader->pcxt);
/* Free last reference to MVCC snapshot, if one was used */
if (IsMVCCSnapshot(hnswleader->snapshot))
UnregisterSnapshot(hnswleader->snapshot);
DestroyParallelContext(hnswleader->pcxt);
ExitParallelMode();
}
/*
* Return size of shared memory required for parallel index build
*/
static Size
ParallelEstimateShared(Relation heap, Snapshot snapshot)
{
#if PG_VERSION_NUM >= 120000
return add_size(BUFFERALIGN(sizeof(HnswShared)), table_parallelscan_estimate(heap, snapshot));
#else
if (!IsMVCCSnapshot(snapshot))
{
Assert(snapshot == SnapshotAny);
return sizeof(HnswShared);
}
return add_size(offsetof(HnswShared, heapdesc) +
offsetof(ParallelHeapScanDescData, phs_snapshot_data),
EstimateSnapshotSpace(snapshot));
#endif
}
/*
* Within leader, participate as a parallel worker
*/
static void
HnswLeaderParticipateAsWorker(HnswBuildState * buildstate)
{
HnswLeader *hnswleader = buildstate->hnswleader;
HnswSpool *leaderworker;
/* Allocate memory and initialize private spool */
leaderworker = (HnswSpool *) palloc0(sizeof(HnswSpool));
leaderworker->heap = buildstate->heap;
leaderworker->index = buildstate->index;
/* Perform work common to all participants */
HnswParallelScanAndInsert(leaderworker, hnswleader->hnswshared, true);
}
/*
* Begin parallel build
*/
static void
HnswBeginParallel(HnswBuildState * buildstate, bool isconcurrent, int request)
{
ParallelContext *pcxt;
int scantuplesortstates;
Snapshot snapshot;
Size esthnswshared;
HnswShared *hnswshared;
HnswLeader *hnswleader = (HnswLeader *) palloc0(sizeof(HnswLeader));
bool leaderparticipates = true;
int querylen;
#ifdef DISABLE_LEADER_PARTICIPATION
leaderparticipates = false;
#endif
/* Enter parallel mode and create context */
EnterParallelMode();
Assert(request > 0);
#if PG_VERSION_NUM >= 120000
pcxt = CreateParallelContext("vector", "HnswParallelBuildMain", request);
#else
pcxt = CreateParallelContext("vector", "HnswParallelBuildMain", request, true);
#endif
scantuplesortstates = leaderparticipates ? request + 1 : request;
/* Get snapshot for table scan */
if (!isconcurrent)
snapshot = SnapshotAny;
else
snapshot = RegisterSnapshot(GetTransactionSnapshot());
/* Estimate size of workspaces */
esthnswshared = ParallelEstimateShared(buildstate->heap, snapshot);
shm_toc_estimate_chunk(&pcxt->estimator, esthnswshared);
shm_toc_estimate_keys(&pcxt->estimator, 1);
/* Finally, estimate PARALLEL_KEY_QUERY_TEXT space */
if (debug_query_string)
{
querylen = strlen(debug_query_string);
shm_toc_estimate_chunk(&pcxt->estimator, querylen + 1);
shm_toc_estimate_keys(&pcxt->estimator, 1);
}
else
querylen = 0; /* keep compiler quiet */
/* Everyone's had a chance to ask for space, so now create the DSM */
InitializeParallelDSM(pcxt);
/* If no DSM segment was available, back out (do serial build) */
if (pcxt->seg == NULL)
{
if (IsMVCCSnapshot(snapshot))
UnregisterSnapshot(snapshot);
DestroyParallelContext(pcxt);
ExitParallelMode();
return;
}
/* Store shared build state, for which we reserved space */
hnswshared = (HnswShared *) shm_toc_allocate(pcxt->toc, esthnswshared);
/* Initialize immutable state */
hnswshared->heaprelid = RelationGetRelid(buildstate->heap);
hnswshared->indexrelid = RelationGetRelid(buildstate->index);
hnswshared->isconcurrent = isconcurrent;
hnswshared->scantuplesortstates = scantuplesortstates;
ConditionVariableInit(&hnswshared->workersdonecv);
SpinLockInit(&hnswshared->mutex);
/* Initialize mutable state */
hnswshared->nparticipantsdone = 0;
hnswshared->reltuples = 0;
hnswshared->indtuples = 0;
#if PG_VERSION_NUM >= 120000
table_parallelscan_initialize(buildstate->heap,
ParallelTableScanFromHnswShared(hnswshared),
snapshot);
#else
heap_parallelscan_initialize(&hnswshared->heapdesc, buildstate->heap, snapshot);
#endif
shm_toc_insert(pcxt->toc, PARALLEL_KEY_HNSW_SHARED, hnswshared);
/* Store query string for workers */
if (debug_query_string)
{
char *sharedquery;
sharedquery = (char *) shm_toc_allocate(pcxt->toc, querylen + 1);
memcpy(sharedquery, debug_query_string, querylen + 1);
shm_toc_insert(pcxt->toc, PARALLEL_KEY_QUERY_TEXT, sharedquery);
}
/* Launch workers, saving status for leader/caller */
LaunchParallelWorkers(pcxt);
hnswleader->pcxt = pcxt;
hnswleader->nparticipanttuplesorts = pcxt->nworkers_launched;
if (leaderparticipates)
hnswleader->nparticipanttuplesorts++;
hnswleader->hnswshared = hnswshared;
hnswleader->snapshot = snapshot;
/* If no workers were successfully launched, back out (do serial build) */
if (pcxt->nworkers_launched == 0)
{
HnswEndParallel(hnswleader);
return;
}
/* Log participants */
ereport(DEBUG1, (errmsg("using %d parallel workers", pcxt->nworkers_launched)));
/* Save leader state now that it's clear build will be parallel */
buildstate->hnswleader = hnswleader;
/* Join heap scan ourselves */
if (leaderparticipates)
HnswLeaderParticipateAsWorker(buildstate);
/* Wait for all launched workers */
WaitForParallelWorkersToAttach(pcxt);
}
/*
* Build graph
*/
static void
BuildGraph(HnswBuildState * buildstate, ForkNumber forkNum)
{
int parallel_workers = 0;
UpdateProgress(PROGRESS_CREATEIDX_SUBPHASE, PROGRESS_HNSW_PHASE_LOAD);
/* Calculate parallel workers */
if (hnsw_enable_parallel_build)
parallel_workers = plan_create_index_workers(RelationGetRelid(buildstate->heap), RelationGetRelid(buildstate->index));
/* Attempt to launch parallel worker scan when required */
if (parallel_workers > 0)
{
/* TODO Support in-memory builds */
FlushPages(buildstate);
HnswBeginParallel(buildstate, buildstate->indexInfo->ii_Concurrent, parallel_workers);
}
/* Add tuples to sort */
if (buildstate->hnswleader)
buildstate->reltuples = ParallelHeapScan(buildstate);
else
{
#if PG_VERSION_NUM >= 120000
buildstate->reltuples = table_index_build_scan(buildstate->heap, buildstate->index, buildstate->indexInfo,
true, true, BuildCallback, (void *) buildstate, NULL);
@@ -472,6 +870,11 @@ BuildGraph(HnswBuildState * buildstate, ForkNumber forkNum)
buildstate->reltuples = IndexBuildHeapScan(buildstate->heap, buildstate->index, buildstate->indexInfo,
true, BuildCallback, (void *) buildstate, NULL);
#endif
}
/* End parallel build */
if (buildstate->hnswleader)
HnswEndParallel(buildstate->hnswleader);
}
/*

View File

@@ -123,7 +123,6 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
Size minCombinedSize;
HnswElementTuple etup;
BlockNumber currentPage = insertPage;
int dimensions = e->vec->dim;
HnswNeighborTuple ntup;
Buffer nbuf;
Page npage;
@@ -132,7 +131,7 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
BlockNumber newInsertPage = InvalidBlockNumber;
/* Calculate sizes */
etupSize = HNSW_ELEMENT_TUPLE_SIZE(dimensions);
etupSize = HNSW_ELEMENT_TUPLE_SIZE(VARSIZE_ANY(DatumGetPointer(e->value)));
ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(e->level, m);
combinedSize = etupSize + ntupSize + sizeof(ItemIdData);
maxSize = HNSW_MAX_SIZE;
@@ -405,8 +404,9 @@ HnswAddDuplicate(Relation index, HnswElement element, HnswElement dup)
Buffer buf;
Page page;
GenericXLogState *state;
Size etupSize = HNSW_ELEMENT_TUPLE_SIZE(dup->vec->dim);
ItemId itemid;
HnswElementTuple etup;
Size etupSize;
int i;
/* Read page */
@@ -416,7 +416,9 @@ HnswAddDuplicate(Relation index, HnswElement element, HnswElement dup)
page = GenericXLogRegisterBuffer(state, buf, 0);
/* Find space */
etup = (HnswElementTuple) PageGetItem(page, PageGetItemId(page, dup->offno));
itemid = PageGetItemId(page, dup->offno);
etup = (HnswElementTuple) PageGetItem(page, itemid);
etupSize = ItemIdGetLength(itemid);
for (i = 0; i < HNSW_HEAPTIDS; i++)
{
if (!ItemPointerIsValid(&etup->heaptids[i]))
@@ -515,7 +517,7 @@ HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_ti
/* Create an element */
element = HnswInitElement(heap_tid, m, HnswGetMl(m), HnswGetMaxLevel(m));
element->vec = DatumGetVector(value);
element->value = value;
/* Prevent concurrent inserts when likely updating entry point */
if (entryPoint == NULL || element->level > entryPoint->level)

View File

@@ -4,6 +4,7 @@
#include "hnsw.h"
#include "storage/bufmgr.h"
#include "utils/datum.h"
#include "vector.h"
/*
@@ -176,6 +177,8 @@ HnswInitElement(ItemPointer heaptid, int m, double ml, int maxLevel)
HnswInitNeighbors(element, m);
element->value = PointerGetDatum(NULL);
return element;
}
@@ -187,7 +190,8 @@ HnswFreeElement(HnswElement element)
{
HnswFreeNeighbors(element);
list_free_deep(element->heaptids);
pfree(element->vec);
if (DatumGetPointer(element->value))
pfree(DatumGetPointer(element->value));
pfree(element);
}
@@ -214,7 +218,7 @@ HnswInitElementFromBlock(BlockNumber blkno, OffsetNumber offno)
element->blkno = blkno;
element->offno = offno;
element->neighbors = NULL;
element->vec = NULL;
element->value = PointerGetDatum(NULL);
return element;
}
@@ -324,7 +328,7 @@ HnswSetElementTuple(HnswElementTuple etup, HnswElement element)
else
ItemPointerSetInvalid(&etup->heaptids[i]);
}
memcpy(&etup->vec, element->vec, VECTOR_SIZE(element->vec->dim));
memcpy(&etup->data, DatumGetPointer(element->value), VARSIZE_ANY(DatumGetPointer(element->value)));
}
/*
@@ -446,10 +450,7 @@ HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHe
}
if (loadVec)
{
element->vec = palloc(VECTOR_SIZE(etup->vec.dim));
memcpy(element->vec, &etup->vec, VECTOR_SIZE(etup->vec.dim));
}
element->value = datumCopy(PointerGetDatum(&etup->data), false, -1);
}
/*
@@ -476,7 +477,7 @@ HnswLoadElement(HnswElement element, float *distance, Datum *q, Relation index,
/* Calculate distance */
if (distance != NULL)
*distance = (float) DatumGetFloat8(FunctionCall2Coll(procinfo, collation, *q, PointerGetDatum(&etup->vec)));
*distance = (float) DatumGetFloat8(FunctionCall2Coll(procinfo, collation, *q, PointerGetDatum(&etup->data)));
UnlockReleaseBuffer(buf);
}
@@ -487,7 +488,7 @@ HnswLoadElement(HnswElement element, float *distance, Datum *q, Relation index,
static float
GetCandidateDistance(HnswCandidate * hc, Datum q, FmgrInfo *procinfo, Oid collation)
{
return DatumGetFloat8(FunctionCall2Coll(procinfo, collation, q, PointerGetDatum(hc->element->vec)));
return DatumGetFloat8(FunctionCall2Coll(procinfo, collation, q, hc->element->value));
}
/*
@@ -750,7 +751,7 @@ 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));
}
/*
@@ -877,7 +878,7 @@ HnswFindDuplicate(HnswElement e)
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 */
@@ -930,13 +931,13 @@ HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int
/* Load elements on insert */
if (index != NULL)
{
Datum q = PointerGetDatum(hc->element->vec);
Datum q = hc->element->value;
for (int i = 0; i < currentNeighbors->length; i++)
{
HnswCandidate *hc3 = &currentNeighbors->items[i];
if (hc3->element->vec == NULL)
if (DatumGetPointer(hc3->element->value) == NULL)
HnswLoadElement(hc3->element, &hc3->distance, &q, index, procinfo, collation, true);
else
hc3->distance = GetCandidateDistance(hc3, q, procinfo, collation);
@@ -1017,7 +1018,7 @@ HnswInsertElement(HnswElement element, HnswElement entryPoint, Relation index, F
List *w;
int level = element->level;
int entryLevel;
Datum q = PointerGetDatum(element->vec);
Datum q = element->value;
HnswElement skipElement = existing ? element : NULL;
/* No neighbors if no entry point */

View File

@@ -62,7 +62,8 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
/* Iterate over nodes */
for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
{
HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, PageGetItemId(page, offno));
ItemId itemid = PageGetItemId(page, offno);
HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, itemid);
int idx = 0;
bool itemUpdated = false;
@@ -93,7 +94,7 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
if (itemUpdated)
{
Size etupSize = HNSW_ELEMENT_TUPLE_SIZE(etup->vec.dim);
Size etupSize = ItemIdGetLength(itemid);
/* Mark rest as invalid */
for (int i = idx; i < HNSW_HEAPTIDS; i++)
@@ -477,7 +478,8 @@ MarkDeleted(HnswVacuumState * vacuumstate)
/* Update element and neighbors together */
for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
{
HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, PageGetItemId(page, offno));
ItemId itemid = PageGetItemId(page, offno);
HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, itemid);
HnswNeighborTuple ntup;
Size etupSize;
Size ntupSize;
@@ -505,7 +507,7 @@ MarkDeleted(HnswVacuumState * vacuumstate)
continue;
/* Calculate sizes */
etupSize = HNSW_ELEMENT_TUPLE_SIZE(etup->vec.dim);
etupSize = ItemIdGetLength(itemid);
ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(etup->level, vacuumstate->m);
/* Get neighbor page */
@@ -528,7 +530,7 @@ MarkDeleted(HnswVacuumState * vacuumstate)
/* Overwrite element */
etup->deleted = 1;
MemSet(&etup->vec.x, 0, etup->vec.dim * sizeof(float));
MemSet(&etup->data, 0, VARSIZE_ANY(&etup->data));
/* Overwrite neighbors */
for (int i = 0; i < ntup->count; i++)

View File

@@ -1,705 +0,0 @@
#include "postgres.h"
#include <math.h>
#include "fmgr.h"
#include "libpq/pqformat.h"
#include "svector.h"
#include "utils/array.h"
#include "vector.h"
#if PG_VERSION_NUM >= 120000
#include "common/shortest_dec.h"
#include "utils/float.h"
#else
#include <float.h>
#include "utils/builtins.h"
#endif
/*
* Ensure same dimensions
*/
static inline void
CheckDims(SVector * a, SVector * b)
{
if (a->dim != b->dim)
ereport(ERROR,
(errcode(ERRCODE_DATA_EXCEPTION),
errmsg("different svector dimensions %d and %d", a->dim, b->dim)));
}
/*
* Ensure expected dimensions
*/
static inline void
CheckExpectedDim(int32 typmod, int dim)
{
if (typmod != -1 && typmod != dim)
ereport(ERROR,
(errcode(ERRCODE_DATA_EXCEPTION),
errmsg("expected %d dimensions, not %d", typmod, dim)));
}
/*
* Ensure valid dimensions
*/
static inline void
CheckDim(int dim)
{
if (dim < 1)
ereport(ERROR,
(errcode(ERRCODE_DATA_EXCEPTION),
errmsg("svector must have at least 1 dimension")));
if (dim > SVECTOR_MAX_DIM)
ereport(ERROR,
(errcode(ERRCODE_PROGRAM_LIMIT_EXCEEDED),
errmsg("svector cannot have more than %d dimensions", SVECTOR_MAX_DIM)));
}
/*
* Ensure valid nnz
*/
static inline void
CheckNnz(int nnz, int dim)
{
if (nnz < 0)
ereport(ERROR,
(errcode(ERRCODE_DATA_EXCEPTION),
errmsg("svector must have at least one element")));
if (nnz > dim)
ereport(ERROR,
(errcode(ERRCODE_PROGRAM_LIMIT_EXCEEDED),
errmsg("svector cannot have more elements than dimensions")));
}
/*
* Ensure valid index
*/
static inline void
CheckIndex(int32 *indices, int i, int dim)
{
int32 index = indices[i];
if (index < 0)
ereport(ERROR,
(errcode(ERRCODE_DATA_EXCEPTION),
errmsg("index must not be negative")));
if (index >= dim)
ereport(ERROR,
(errcode(ERRCODE_DATA_EXCEPTION),
errmsg("index must be less than dimensions")));
if (i > 0)
{
if (index < indices[i - 1])
ereport(ERROR,
(errcode(ERRCODE_DATA_EXCEPTION),
errmsg("indexes must be in ascending order")));
if (index == indices[i - 1])
ereport(ERROR,
(errcode(ERRCODE_DATA_EXCEPTION),
errmsg("indexes must not contain duplicates")));
}
}
/*
* Ensure finite element
*/
static inline void
CheckElement(float value)
{
if (isnan(value))
ereport(ERROR,
(errcode(ERRCODE_DATA_EXCEPTION),
errmsg("NaN not allowed in svector")));
if (isinf(value))
ereport(ERROR,
(errcode(ERRCODE_DATA_EXCEPTION),
errmsg("infinite value not allowed in svector")));
}
/*
* Allocate and initialize a new sparse vector
*/
SVector *
InitSVector(int dim, int nnz)
{
SVector *result;
int size;
size = SVECTOR_SIZE(nnz);
result = (SVector *) palloc0(size);
SET_VARSIZE(result, size);
result->dim = dim;
result->nnz = nnz;
return result;
}
/*
* Convert textual representation to internal representation
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(svector_in);
Datum
svector_in(PG_FUNCTION_ARGS)
{
char *str = PG_GETARG_CSTRING(0);
int32 typmod = PG_GETARG_INT32(2);
int dim;
char *pt;
SVector *result;
float *rvalues;
char *lit = pstrdup(str);
int n;
int32 *indices;
float *values;
int index;
float value;
int maxNnz;
int nnz = 0;
/* TODO Improve code and checks after deciding on format */
maxNnz = 1;
pt = str;
while (*pt != '\0')
{
if (*pt == ',')
maxNnz++;
pt++;
}
maxNnz /= 2;
indices = palloc(maxNnz * sizeof(int32));
values = palloc(maxNnz * sizeof(float));
while (sscanf(str, "(%d,%f)%n", &index, &value, &n) == 2)
{
/* TODO Better error */
if (nnz == maxNnz)
ereport(ERROR,
(errcode(ERRCODE_INVALID_TEXT_REPRESENTATION),
errmsg("ran out of buffer: \"%s\"", lit)));
/* TODO Decide whether to store zero values */
indices[nnz] = index;
values[nnz] = value;
nnz++;
str += n;
if (*str == ',')
str++;
else if (*str == '|')
break;
else
ereport(ERROR,
(errcode(ERRCODE_INVALID_TEXT_REPRESENTATION),
errmsg("malformed svector literal: \"%s\"", lit)));
}
if (sscanf(str, "|%d|%n", &dim, &n) != 1)
ereport(ERROR,
(errcode(ERRCODE_INVALID_TEXT_REPRESENTATION),
errmsg("malformed svector literal: \"%s\"", lit)));
str += n;
if (*str != '\0')
ereport(ERROR,
(errcode(ERRCODE_INVALID_TEXT_REPRESENTATION),
errmsg("malformed svector literal: \"%s\"", lit),
errdetail("Junk after closing pipe.")));
pfree(lit);
CheckDim(dim);
CheckExpectedDim(typmod, dim);
result = InitSVector(dim, nnz);
rvalues = SVECTOR_VALUES(result);
for (int i = 0; i < nnz; i++)
{
result->indices[i] = indices[i];
rvalues[i] = values[i];
CheckIndex(result->indices, i, dim);
CheckElement(rvalues[i]);
}
PG_RETURN_POINTER(result);
}
/*
* Convert internal representation to textual representation
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(svector_out);
Datum
svector_out(PG_FUNCTION_ARGS)
{
SVector *svector = PG_GETARG_SVECTOR_P(0);
float *values = SVECTOR_VALUES(svector);
char *buf;
char *ptr;
int n;
/* TODO Improve code after deciding on format */
#if PG_VERSION_NUM < 120000
int ndig = FLT_DIG + extra_float_digits;
if (ndig < 1)
ndig = 1;
#define FLOAT_SHORTEST_DECIMAL_LEN (ndig + 10)
#endif
/* TODO Move */
#define APPEND_CHAR(ptr, ch) (*(ptr)++ = (ch))
/* TODO Improve */
buf = (char *) palloc((FLOAT_SHORTEST_DECIMAL_LEN + 20) * svector->nnz + 20);
ptr = buf;
for (int i = 0; i < svector->nnz; i++)
{
if (i > 0)
APPEND_CHAR(ptr, ',');
n = sprintf(ptr, "(%d,", svector->indices[i]);
ptr += n;
#if PG_VERSION_NUM >= 120000
n = float_to_shortest_decimal_bufn(values[i], ptr);
#else
n = sprintf(ptr, "%.*g", ndig, values[i]);
#endif
ptr += n;
APPEND_CHAR(ptr, ')');
}
n = sprintf(ptr, "|%d|", svector->dim);
ptr += n;
APPEND_CHAR(ptr, '\0');
PG_FREE_IF_COPY(svector, 0);
PG_RETURN_CSTRING(buf);
}
/*
* Convert type modifier
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(svector_typmod_in);
Datum
svector_typmod_in(PG_FUNCTION_ARGS)
{
ArrayType *ta = PG_GETARG_ARRAYTYPE_P(0);
int32 *tl;
int n;
tl = ArrayGetIntegerTypmods(ta, &n);
if (n != 1)
ereport(ERROR,
(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
errmsg("invalid type modifier")));
if (*tl < 1)
ereport(ERROR,
(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
errmsg("dimensions for type svector must be at least 1")));
if (*tl > SVECTOR_MAX_DIM)
ereport(ERROR,
(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
errmsg("dimensions for type svector cannot exceed %d", SVECTOR_MAX_DIM)));
PG_RETURN_INT32(*tl);
}
/*
* Convert external binary representation to internal representation
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(svector_recv);
Datum
svector_recv(PG_FUNCTION_ARGS)
{
StringInfo buf = (StringInfo) PG_GETARG_POINTER(0);
int32 typmod = PG_GETARG_INT32(2);
SVector *result;
int32 dim;
int32 nnz;
int32 unused;
float *values;
dim = pq_getmsgint(buf, sizeof(int32));
nnz = pq_getmsgint(buf, sizeof(int32));
unused = pq_getmsgint(buf, sizeof(int32));
CheckDim(dim);
CheckNnz(nnz, dim);
CheckExpectedDim(typmod, dim);
if (unused != 0)
ereport(ERROR,
(errcode(ERRCODE_DATA_EXCEPTION),
errmsg("expected unused to be 0, not %d", unused)));
result = InitSVector(dim, nnz);
values = SVECTOR_VALUES(result);
for (int i = 0; i < nnz; i++)
{
result->indices[i] = pq_getmsgint(buf, sizeof(int32));
CheckIndex(result->indices, i, dim);
}
for (int i = 0; i < nnz; i++)
{
values[i] = pq_getmsgfloat4(buf);
CheckElement(values[i]);
}
PG_RETURN_POINTER(result);
}
/*
* Convert internal representation to the external binary representation
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(svector_send);
Datum
svector_send(PG_FUNCTION_ARGS)
{
SVector *svec = PG_GETARG_SVECTOR_P(0);
float *values = SVECTOR_VALUES(svec);
StringInfoData buf;
pq_begintypsend(&buf);
pq_sendint(&buf, svec->dim, sizeof(int32));
pq_sendint(&buf, svec->nnz, sizeof(int32));
pq_sendint(&buf, svec->unused, sizeof(int32));
for (int i = 0; i < svec->nnz; i++)
pq_sendint(&buf, svec->indices[i], sizeof(int32));
for (int i = 0; i < svec->nnz; i++)
pq_sendfloat4(&buf, values[i]);
PG_RETURN_BYTEA_P(pq_endtypsend(&buf));
}
/*
* Convert sparse vector to sparse vector
* This is needed to check the type modifier
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(svector);
Datum
svector(PG_FUNCTION_ARGS)
{
SVector *svec = PG_GETARG_SVECTOR_P(0);
int32 typmod = PG_GETARG_INT32(1);
CheckExpectedDim(typmod, svec->dim);
PG_RETURN_POINTER(svec);
}
/*
* Convert dense vector to sparse vector
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_to_svector);
Datum
vector_to_svector(PG_FUNCTION_ARGS)
{
Vector *vec = PG_GETARG_VECTOR_P(0);
int32 typmod = PG_GETARG_INT32(1);
SVector *result;
int dim = vec->dim;
int nnz = 0;
float *values;
int j = 0;
CheckDim(dim);
CheckExpectedDim(typmod, dim);
for (int i = 0; i < dim; i++)
{
if (vec->x[i] != 0)
nnz++;
}
result = InitSVector(dim, nnz);
values = SVECTOR_VALUES(result);
for (int i = 0; i < dim; i++)
{
if (vec->x[i] != 0)
{
/* Safety check */
if (j == nnz)
elog(ERROR, "safety check failed");
result->indices[j] = i;
values[j] = vec->x[i];
j++;
}
}
PG_RETURN_POINTER(result);
}
/*
* Get the L2 squared distance between sparse vectors
*/
static double
l2_distance_squared_internal(SVector * a, SVector * b)
{
float *ax = SVECTOR_VALUES(a);
float *bx = SVECTOR_VALUES(b);
double distance = 0.0;
int bpos = 0;
for (int i = 0; i < a->nnz; i++)
{
int ai = a->indices[i];
int bi = -1;
for (int j = bpos; j < b->nnz; j++)
{
bi = b->indices[j];
if (ai == bi)
{
double diff = ax[i] - bx[j];
distance += diff * diff;
}
else if (ai > bi)
distance += bx[j] * bx[j];
/* Update start for next iteration */
if (ai >= bi)
bpos = j + 1;
/* Found or passed it */
if (bi >= ai)
break;
}
if (ai != bi)
distance += ax[i] * ax[i];
}
for (int j = bpos; j < b->nnz; j++)
distance += bx[j] * bx[j];
return distance;
}
/*
* Get the L2 distance between sparse vectors
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(svector_l2_distance);
Datum
svector_l2_distance(PG_FUNCTION_ARGS)
{
SVector *a = PG_GETARG_SVECTOR_P(0);
SVector *b = PG_GETARG_SVECTOR_P(1);
CheckDims(a, b);
PG_RETURN_FLOAT8(sqrt(l2_distance_squared_internal(a, b)));
}
/*
* Get the L2 squared distance between sparse vectors
* This saves a sqrt calculation
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(svector_l2_squared_distance);
Datum
svector_l2_squared_distance(PG_FUNCTION_ARGS)
{
SVector *a = PG_GETARG_SVECTOR_P(0);
SVector *b = PG_GETARG_SVECTOR_P(1);
CheckDims(a, b);
PG_RETURN_FLOAT8(l2_distance_squared_internal(a, b));
}
/*
* Get the inner product of two sparse vectors
*/
static double
inner_product_internal(SVector * a, SVector * b)
{
float *ax = SVECTOR_VALUES(a);
float *bx = SVECTOR_VALUES(b);
double distance = 0.0;
int bpos = 0;
for (int i = 0; i < a->nnz; i++)
{
int ai = a->indices[i];
for (int j = bpos; j < b->nnz; j++)
{
int bi = b->indices[j];
/* Only update when the same index */
if (ai == bi)
distance += ax[i] * bx[j];
/* Update start for next iteration */
if (ai >= bi)
bpos = j + 1;
/* Found or passed it */
if (bi >= ai)
break;
}
}
return distance;
}
/*
* Get the inner product of two sparse vectors
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(svector_inner_product);
Datum
svector_inner_product(PG_FUNCTION_ARGS)
{
SVector *a = PG_GETARG_SVECTOR_P(0);
SVector *b = PG_GETARG_SVECTOR_P(1);
CheckDims(a, b);
PG_RETURN_FLOAT8(inner_product_internal(a, b));
}
/*
* Get the negative inner product of two sparse vectors
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(svector_negative_inner_product);
Datum
svector_negative_inner_product(PG_FUNCTION_ARGS)
{
SVector *a = PG_GETARG_SVECTOR_P(0);
SVector *b = PG_GETARG_SVECTOR_P(1);
CheckDims(a, b);
PG_RETURN_FLOAT8(-inner_product_internal(a, b));
}
/*
* Get the cosine distance between two sparse vectors
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(svector_cosine_distance);
Datum
svector_cosine_distance(PG_FUNCTION_ARGS)
{
SVector *a = PG_GETARG_SVECTOR_P(0);
SVector *b = PG_GETARG_SVECTOR_P(1);
float *ax = SVECTOR_VALUES(a);
float *bx = SVECTOR_VALUES(b);
float norma = 0.0;
float normb = 0.0;
double similarity;
CheckDims(a, b);
similarity = inner_product_internal(a, b);
/* Auto-vectorized */
for (int i = 0; i < a->nnz; i++)
norma += ax[i] * ax[i];
/* Auto-vectorized */
for (int i = 0; i < b->nnz; i++)
normb += bx[i] * bx[i];
/* Use sqrt(a * b) over sqrt(a) * sqrt(b) */
similarity /= sqrt((double) norma * (double) normb);
#ifdef _MSC_VER
/* /fp:fast may not propagate NaN */
if (isnan(similarity))
PG_RETURN_FLOAT8(NAN);
#endif
/* Keep in range */
if (similarity > 1)
similarity = 1.0;
else if (similarity < -1)
similarity = -1.0;
PG_RETURN_FLOAT8(1.0 - similarity);
}
/*
* Get the weighted Jaccard distance between two sparse vectors
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(svector_jaccard_distance);
Datum
svector_jaccard_distance(PG_FUNCTION_ARGS)
{
SVector *a = PG_GETARG_SVECTOR_P(0);
SVector *b = PG_GETARG_SVECTOR_P(1);
float *ax = SVECTOR_VALUES(a);
float *bx = SVECTOR_VALUES(b);
double num = 0.0;
double denom = 0.0;
int bpos = 0;
CheckDims(a, b);
/*
* Weighted Jaccard distance is not defined for vectors with negative
* values. Could check and return NaN if minimal impact on performance.
*/
for (int i = 0; i < a->nnz; i++)
{
int ai = a->indices[i];
int bi = -1;
for (int j = bpos; j < b->nnz; j++)
{
bi = b->indices[j];
if (ai == bi)
{
num += ax[i] < bx[j] ? ax[i] : bx[j];
denom += ax[i] > bx[j] ? ax[i] : bx[j];
}
else if (ai > bi)
denom += bx[j];
/* Update start for next iteration */
if (ai >= bi)
bpos = j + 1;
/* Found or passed it */
if (bi >= ai)
break;
}
if (ai != bi)
denom += ax[i];
}
for (int j = bpos; j < b->nnz; j++)
denom += bx[j];
if (denom > 0)
PG_RETURN_FLOAT8(1.0 - (num / denom));
else
PG_RETURN_FLOAT8(NAN);
}

View File

@@ -1,23 +0,0 @@
#ifndef SVECTOR_H
#define SVECTOR_H
#define SVECTOR_MAX_DIM 100000
#define SVECTOR_SIZE(_nnz) (offsetof(SVector, indices) + (_nnz) * sizeof(int32) + (_nnz * sizeof(float)))
#define SVECTOR_VALUES(x) ((float *) (((char *) (x)) + offsetof(SVector, indices) + (x)->nnz * sizeof(int32)))
#define DatumGetSVector(x) ((SVector *) PG_DETOAST_DATUM(x))
#define PG_GETARG_SVECTOR_P(x) DatumGetSVector(PG_GETARG_DATUM(x))
#define PG_RETURN_SVECTOR_P(x) PG_RETURN_POINTER(x)
typedef struct SVector
{
int32 vl_len_; /* varlena header (do not touch directly!) */
int32 dim; /* number of dimensions */
int32 nnz;
int32 unused;
int32 indices[FLEXIBLE_ARRAY_MEMBER];
} SVector;
SVector *InitSVector(int dim, int nnz);
#endif

View File

@@ -9,7 +9,6 @@
#include "lib/stringinfo.h"
#include "libpq/pqformat.h"
#include "port.h" /* for strtof() */
#include "svector.h"
#include "utils/array.h"
#include "utils/builtins.h"
#include "utils/lsyscache.h"
@@ -1152,26 +1151,3 @@ vector_avg(PG_FUNCTION_ARGS)
PG_RETURN_POINTER(result);
}
/*
* Convert sparse vector to dense vector
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(svector_to_vector);
Datum
svector_to_vector(PG_FUNCTION_ARGS)
{
SVector *svec = PG_GETARG_SVECTOR_P(0);
int32 typmod = PG_GETARG_INT32(1);
Vector *result;
int dim = svec->dim;
float *values = SVECTOR_VALUES(svec);
CheckDim(dim);
CheckExpectedDim(typmod, dim);
result = InitVector(dim);
for (int i = 0; i < svec->nnz; i++)
result->x[svec->indices[i]] = values[i];
PG_RETURN_POINTER(result);
}

View File

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

View File

@@ -138,21 +138,21 @@ SELECT cosine_distance('[3e38]'::vector, '[3e38]');
NaN
(1 row)
SELECT l1_distance('[0,0]', '[3,4]');
SELECT l1_distance('[0,0]'::vector, '[3,4]');
l1_distance
-------------
7
(1 row)
SELECT l1_distance('[0,0]', '[0,1]');
SELECT l1_distance('[0,0]'::vector, '[0,1]');
l1_distance
-------------
1
(1 row)
SELECT l1_distance('[1,2]', '[3]');
SELECT l1_distance('[1,2]'::vector, '[3]');
ERROR: different vector dimensions 2 and 1
SELECT l1_distance('[3e38]', '[-3e38]');
SELECT l1_distance('[3e38]'::vector, '[-3e38]');
l1_distance
-------------
Infinity

226
test/expected/half.out Normal file
View File

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

View File

@@ -1,140 +0,0 @@
SELECT '(0,1.5),(2,3.5)|5|'::svector;
svector
--------------------
(0,1.5),(2,3.5)|5|
(1 row)
SELECT '(0,1.5),(2,3.5)|5|'::svector::vector;
vector
-----------------
[1.5,0,3.5,0,0]
(1 row)
SELECT '(0,1.5),(2,3.5)|5|'::svector::vector(5);
vector
-----------------
[1.5,0,3.5,0,0]
(1 row)
SELECT '(0,1.5),(2,3.5)|5|'::svector::vector(4);
ERROR: expected 4 dimensions, not 5
SELECT '[0,1.5,0,3.5,0]'::vector::svector;
svector
--------------------
(1,1.5),(3,3.5)|5|
(1 row)
SELECT '(0,0),(1,1),(2,0)|3|'::svector;
svector
----------------------
(0,0),(1,1),(2,0)|3|
(1 row)
SELECT '|5|'::svector;
svector
---------
|5|
(1 row)
SELECT '|-1|'::svector;
ERROR: svector must have at least 1 dimension
LINE 1: SELECT '|-1|'::svector;
^
SELECT '|100001|'::svector;
ERROR: svector cannot have more than 100000 dimensions
LINE 1: SELECT '|100001|'::svector;
^
SELECT '|16001|'::svector::vector;
ERROR: vector cannot have more than 16000 dimensions
SELECT '(-1,1)|1|'::svector;
ERROR: index must not be negative
LINE 1: SELECT '(-1,1)|1|'::svector;
^
SELECT '(1,1)|1|'::svector;
ERROR: index must be less than dimensions
LINE 1: SELECT '(1,1)|1|'::svector;
^
SELECT '|1|'::svector(2);
ERROR: expected 2 dimensions, not 1
SELECT l2_distance('|2|'::svector, '(0,3),(1,4)|2|');
l2_distance
-------------
5
(1 row)
SELECT l2_distance('|2|'::svector, '(1,1)|2|');
l2_distance
-------------
1
(1 row)
SELECT '|2|'::svector <-> '(0,3),(1,4)|2|';
?column?
----------
5
(1 row)
SELECT inner_product('(0,1),(1,2)|2|'::svector, '(0,2),(1,4)|2|');
inner_product
---------------
10
(1 row)
SELECT svector_negative_inner_product('(0,1),(1,2)|2|', '(0,2),(1,4)|2|');
svector_negative_inner_product
--------------------------------
-10
(1 row)
SELECT cosine_distance('(0,1),(1,2)|2|'::svector, '(0,2),(1,4)|2|');
cosine_distance
-----------------
0
(1 row)
SELECT cosine_distance('(0,1),(1,2)|2|'::svector, '|2|');
cosine_distance
-----------------
NaN
(1 row)
SELECT cosine_distance('(0,1),(1,1)|2|'::svector, '(0,-1),(1,-1)|2|');
cosine_distance
-----------------
2
(1 row)
SELECT cosine_distance('(0,1)|2|'::svector, '(1,2)|2|');
cosine_distance
-----------------
1
(1 row)
SELECT cosine_distance('|1|'::svector, '|1|');
cosine_distance
-----------------
NaN
(1 row)
SELECT cosine_distance('(0,1)|2|'::svector, '(0,1)|3|');
ERROR: different svector dimensions 2 and 3
SELECT jaccard_distance('(0,1)|2|', '(0,1)|2|');
jaccard_distance
------------------
0
(1 row)
SELECT jaccard_distance('(0,1)|2|', '(1,1)|2|');
jaccard_distance
------------------
1
(1 row)
SELECT jaccard_distance('|1|', '|1|');
jaccard_distance
------------------
NaN
(1 row)
SELECT jaccard_distance('(0,1)|2|', '(0,1)|3|');
ERROR: different svector dimensions 2 and 3

View File

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

View File

@@ -32,10 +32,10 @@ SELECT cosine_distance('[1,1]'::vector, '[1.1,1.1]');
SELECT cosine_distance('[1,1]'::vector, '[-1.1,-1.1]');
SELECT cosine_distance('[3e38]'::vector, '[3e38]');
SELECT l1_distance('[0,0]', '[3,4]');
SELECT l1_distance('[0,0]', '[0,1]');
SELECT l1_distance('[1,2]', '[3]');
SELECT l1_distance('[3e38]', '[-3e38]');
SELECT l1_distance('[0,0]'::vector, '[3,4]');
SELECT l1_distance('[0,0]'::vector, '[0,1]');
SELECT l1_distance('[1,2]'::vector, '[3]');
SELECT l1_distance('[3e38]'::vector, '[-3e38]');
SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]']) v;
SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]', NULL]) v;

53
test/sql/half.sql Normal file
View File

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

View File

@@ -1,36 +0,0 @@
SELECT '(0,1.5),(2,3.5)|5|'::svector;
SELECT '(0,1.5),(2,3.5)|5|'::svector::vector;
SELECT '(0,1.5),(2,3.5)|5|'::svector::vector(5);
SELECT '(0,1.5),(2,3.5)|5|'::svector::vector(4);
SELECT '[0,1.5,0,3.5,0]'::vector::svector;
SELECT '(0,0),(1,1),(2,0)|3|'::svector;
SELECT '|5|'::svector;
SELECT '|-1|'::svector;
SELECT '|100001|'::svector;
SELECT '|16001|'::svector::vector;
SELECT '(-1,1)|1|'::svector;
SELECT '(1,1)|1|'::svector;
SELECT '|1|'::svector(2);
SELECT l2_distance('|2|'::svector, '(0,3),(1,4)|2|');
SELECT l2_distance('|2|'::svector, '(1,1)|2|');
SELECT '|2|'::svector <-> '(0,3),(1,4)|2|';
SELECT inner_product('(0,1),(1,2)|2|'::svector, '(0,2),(1,4)|2|');
SELECT svector_negative_inner_product('(0,1),(1,2)|2|', '(0,2),(1,4)|2|');
SELECT cosine_distance('(0,1),(1,2)|2|'::svector, '(0,2),(1,4)|2|');
SELECT cosine_distance('(0,1),(1,2)|2|'::svector, '|2|');
SELECT cosine_distance('(0,1),(1,1)|2|'::svector, '(0,-1),(1,-1)|2|');
SELECT cosine_distance('(0,1)|2|'::svector, '(1,2)|2|');
SELECT cosine_distance('|1|'::svector, '|1|');
SELECT cosine_distance('(0,1)|2|'::svector, '(0,1)|3|');
SELECT jaccard_distance('(0,1)|2|', '(0,1)|2|');
SELECT jaccard_distance('(0,1)|2|', '(1,1)|2|');
SELECT jaccard_distance('|1|', '|1|');
SELECT jaccard_distance('(0,1)|2|', '(0,1)|3|');

View File

@@ -83,11 +83,32 @@ for my $i (0 .. $#operators)
push(@expected, $res);
}
# Add index
$node->safe_psql("postgres", "CREATE INDEX ON tst USING hnsw (v $opclass);");
# Build index serially
$node->safe_psql("postgres", qq(
SET max_parallel_maintenance_workers = 0;
CREATE INDEX idx ON tst USING hnsw (v $opclass);
));
# Test approximate results
my $min = $operator eq "<#>" ? 0.80 : 0.99;
test_recall($min, $operator);
$node->safe_psql("postgres", "DROP INDEX idx;");
# Build index in parallel
my ($ret, $stdout, $stderr) = $node->psql("postgres", qq(
SET client_min_messages = DEBUG;
SET min_parallel_table_scan_size = 1;
SET hnsw.enable_parallel_build = on;
CREATE INDEX idx ON tst USING hnsw (v $opclass);
));
is($ret, 0, $stderr);
like($stderr, qr/using \d+ parallel workers/);
# Test approximate results
test_recall($min, $operator);
$node->safe_psql("postgres", "DROP INDEX idx;");
}
done_testing();