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bitvector
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target-clo
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3f674c9994 |
@@ -1,10 +1,3 @@
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## 0.7.0 (unreleased)
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- Added support for binary vectors to HNSW
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- Added `hamming_distance` function
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- Added `jaccard_distance` function
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- Added `quantize_binary` function
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## 0.6.2 (2024-03-18)
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## 0.6.2 (2024-03-18)
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- Reduced lock contention with parallel HNSW index builds
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- Reduced lock contention with parallel HNSW index builds
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16
Makefile
16
Makefile
@@ -3,28 +3,22 @@ EXTVERSION = 0.6.2
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MODULE_big = vector
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MODULE_big = vector
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DATA = $(wildcard sql/*--*.sql)
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DATA = $(wildcard sql/*--*.sql)
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OBJS = src/bitvector.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
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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
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HEADERS = src/vector.h
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HEADERS = src/vector.h
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TESTS = $(wildcard test/sql/*.sql)
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TESTS = $(wildcard test/sql/*.sql)
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REGRESS = $(patsubst test/sql/%.sql,%,$(TESTS))
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REGRESS = $(patsubst test/sql/%.sql,%,$(TESTS))
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REGRESS_OPTS = --inputdir=test --load-extension=$(EXTENSION)
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REGRESS_OPTS = --inputdir=test --load-extension=$(EXTENSION)
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||||||
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OPTFLAGS = -march=native
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OPTFLAGS =
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# Mac ARM doesn't support -march=native
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# Since runtime dispatch not supported
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ifeq ($(shell uname -s), Darwin)
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ifeq ($(shell uname -s), Darwin)
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ifeq ($(shell uname -p), arm)
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ifeq ($(shell uname -m), x86_64)
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# no difference with -march=armv8.5-a
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OPTFLAGS = -march=native
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OPTFLAGS =
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endif
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endif
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endif
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endif
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||||||
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# PowerPC doesn't support -march=native
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ifneq ($(filter ppc64%, $(shell uname -m)), )
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OPTFLAGS =
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endif
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# For auto-vectorization:
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# For auto-vectorization:
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# - GCC (needs -ftree-vectorize OR -O3) - https://gcc.gnu.org/projects/tree-ssa/vectorization.html
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# - GCC (needs -ftree-vectorize OR -O3) - https://gcc.gnu.org/projects/tree-ssa/vectorization.html
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# - Clang (could use pragma instead) - https://llvm.org/docs/Vectorizers.html
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# - Clang (could use pragma instead) - https://llvm.org/docs/Vectorizers.html
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@@ -1,7 +1,7 @@
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EXTENSION = vector
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EXTENSION = vector
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EXTVERSION = 0.6.2
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EXTVERSION = 0.6.2
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OBJS = src\bitvector.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
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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
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HEADERS = src\vector.h
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HEADERS = src\vector.h
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REGRESS = btree cast copy functions input ivfflat_cosine ivfflat_ip ivfflat_l2 ivfflat_options ivfflat_unlogged
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REGRESS = btree cast copy functions input ivfflat_cosine ivfflat_ip ivfflat_l2 ivfflat_options ivfflat_unlogged
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39
README.md
39
README.md
@@ -5,7 +5,7 @@ Open-source vector similarity search for Postgres
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Store your vectors with the rest of your data. Supports:
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Store your vectors with the rest of your data. Supports:
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- exact and approximate nearest neighbor search
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- exact and approximate nearest neighbor search
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- L2 distance, inner product, cosine distance, and more
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- L2 distance, inner product, and cosine distance
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- any [language](#languages) with a Postgres client
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- any [language](#languages) with a Postgres client
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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
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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
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@@ -221,19 +221,7 @@ Cosine distance
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CREATE INDEX ON items USING hnsw (embedding vector_cosine_ops);
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CREATE INDEX ON items USING hnsw (embedding vector_cosine_ops);
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```
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```
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Hamming distance - added in 0.7.0
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Vectors with up to 2,000 dimensions can be indexed.
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```sql
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CREATE INDEX ON items USING hnsw (embedding bit_hamming_ops);
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||||||
```
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Jaccard distance - added in 0.7.0
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```sql
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CREATE INDEX ON items USING hnsw (embedding bit_jaccard_ops);
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```
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Vectors with up to 2,000 dimensions can be indexed, or bit vectors with up to 64,000 dimensions.
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### Index Options
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### Index Options
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@@ -683,6 +671,8 @@ ALTER TABLE items ALTER COLUMN embedding SET STORAGE PLAIN;
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Results are limited by the size of the dynamic candidate list (`hnsw.ef_search`). There may be even less results due to dead tuples or filtering conditions in the query. We recommend setting `hnsw.ef_search` to at least twice the `LIMIT` of the query. If you need more than 500 results, use an IVFFlat index instead.
|
Results are limited by the size of the dynamic candidate list (`hnsw.ef_search`). There may be even less results due to dead tuples or filtering conditions in the query. We recommend setting `hnsw.ef_search` to at least twice the `LIMIT` of the query. If you need more than 500 results, use an IVFFlat index instead.
|
||||||
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|
||||||
|
Also, note that `NULL` vectors are not indexed (as well as zero vectors for cosine distance).
|
||||||
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|
||||||
#### Why are there less results for a query after adding an IVFFlat index?
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#### Why are there less results for a query after adding an IVFFlat index?
|
||||||
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|
||||||
The index was likely created with too little data for the number of lists. Drop the index until the table has more data.
|
The index was likely created with too little data for the number of lists. Drop the index until the table has more data.
|
||||||
@@ -693,11 +683,13 @@ DROP INDEX index_name;
|
|||||||
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|
||||||
Results can also be limited by the number of probes (`ivfflat.probes`).
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Results can also be limited by the number of probes (`ivfflat.probes`).
|
||||||
|
|
||||||
|
Also, note that `NULL` vectors are not indexed (as well as zero vectors for cosine distance).
|
||||||
|
|
||||||
## Reference
|
## Reference
|
||||||
|
|
||||||
### Vector Type
|
### Vector Type
|
||||||
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|
||||||
Each vector takes `4 * dimensions + 8` bytes of storage. Each element is a single precision floating-point number (like the `real` type in Postgres), and all elements must be finite (no `NaN`, `Infinity` or `-Infinity`). Vectors can have up to 16,000 dimensions.
|
Each vector takes `4 * dimensions + 8` bytes of storage. Each element is a single-precision floating-point number (like the `real` type in Postgres), and all elements must be finite (no `NaN`, `Infinity` or `-Infinity`). Vectors can have up to 16,000 dimensions.
|
||||||
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|
||||||
### Vector Operators
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### Vector Operators
|
||||||
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|
||||||
@@ -718,31 +710,16 @@ cosine_distance(vector, vector) → double precision | cosine distance |
|
|||||||
inner_product(vector, vector) → double precision | inner product |
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inner_product(vector, vector) → double precision | inner product |
|
||||||
l2_distance(vector, vector) → double precision | Euclidean distance |
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l2_distance(vector, vector) → double precision | Euclidean distance |
|
||||||
l1_distance(vector, vector) → double precision | taxicab distance | 0.5.0
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l1_distance(vector, vector) → double precision | taxicab distance | 0.5.0
|
||||||
quantize_binary(vector) → bit | quantize | 0.7.0
|
|
||||||
vector_dims(vector) → integer | number of dimensions |
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vector_dims(vector) → integer | number of dimensions |
|
||||||
vector_norm(vector) → double precision | Euclidean norm |
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vector_norm(vector) → double precision | Euclidean norm |
|
||||||
|
|
||||||
### Aggregate Functions
|
### Vector Aggregate Functions
|
||||||
|
|
||||||
Function | Description | Added
|
Function | Description | Added
|
||||||
--- | --- | ---
|
--- | --- | ---
|
||||||
avg(vector) → vector | average |
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avg(vector) → vector | average |
|
||||||
sum(vector) → vector | sum | 0.5.0
|
sum(vector) → vector | sum | 0.5.0
|
||||||
|
|
||||||
### Bit Operators
|
|
||||||
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|
||||||
Operator | Description | Added
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|
||||||
--- | --- | ---
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|
||||||
<~> | Hamming distance | 0.7.0
|
|
||||||
<%> | Jaccard distance | 0.7.0
|
|
||||||
|
|
||||||
### Bit Functions
|
|
||||||
|
|
||||||
Function | Description | Added
|
|
||||||
--- | --- | ---
|
|
||||||
hamming_distance(bit, bit) → double precision | Hamming distance | 0.7.0
|
|
||||||
jaccard_distance(bit, bit) → double precision | Jaccard distance | 0.7.0
|
|
||||||
|
|
||||||
## Installation Notes - Linux and Mac
|
## Installation Notes - Linux and Mac
|
||||||
|
|
||||||
### Postgres Location
|
### Postgres Location
|
||||||
|
|||||||
@@ -1,31 +0,0 @@
|
|||||||
-- complain if script is sourced in psql, rather than via CREATE EXTENSION
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|
||||||
\echo Use "ALTER EXTENSION vector UPDATE TO '0.7.0'" to load this file. \quit
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|
||||||
|
|
||||||
CREATE FUNCTION quantize_binary(vector) RETURNS bit
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|
||||||
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
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|
||||||
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|
||||||
CREATE FUNCTION hamming_distance(bit, bit) RETURNS float8
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|
||||||
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
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|
||||||
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|
||||||
CREATE FUNCTION jaccard_distance(bit, bit) RETURNS float8
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|
||||||
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
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|
||||||
|
|
||||||
CREATE OPERATOR <~> (
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|
||||||
LEFTARG = bit, RIGHTARG = bit, PROCEDURE = hamming_distance,
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|
||||||
COMMUTATOR = '<~>'
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|
||||||
);
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|
||||||
|
|
||||||
CREATE OPERATOR <%> (
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|
||||||
LEFTARG = bit, RIGHTARG = bit, PROCEDURE = jaccard_distance,
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|
||||||
COMMUTATOR = '<%>'
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|
||||||
);
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|
||||||
|
|
||||||
CREATE OPERATOR CLASS bit_hamming_ops
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|
||||||
FOR TYPE bit USING hnsw AS
|
|
||||||
OPERATOR 1 <~> (bit, bit) FOR ORDER BY float_ops,
|
|
||||||
FUNCTION 1 hamming_distance(bit, bit);
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|
||||||
|
|
||||||
CREATE OPERATOR CLASS bit_jaccard_ops
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|
||||||
FOR TYPE bit USING hnsw AS
|
|
||||||
OPERATOR 1 <%> (bit, bit) FOR ORDER BY float_ops,
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|
||||||
FUNCTION 1 jaccard_distance(bit, bit);
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|
||||||
@@ -58,9 +58,6 @@ CREATE FUNCTION vector_sub(vector, vector) RETURNS vector
|
|||||||
CREATE FUNCTION vector_mul(vector, vector) RETURNS vector
|
CREATE FUNCTION vector_mul(vector, vector) RETURNS vector
|
||||||
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||||
|
|
||||||
CREATE FUNCTION quantize_binary(vector) RETURNS bit
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|
||||||
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
|
||||||
|
|
||||||
-- private functions
|
-- private functions
|
||||||
|
|
||||||
CREATE FUNCTION vector_lt(vector, vector) RETURNS bool
|
CREATE FUNCTION vector_lt(vector, vector) RETURNS bool
|
||||||
@@ -290,31 +287,3 @@ CREATE OPERATOR CLASS vector_cosine_ops
|
|||||||
OPERATOR 1 <=> (vector, vector) FOR ORDER BY float_ops,
|
OPERATOR 1 <=> (vector, vector) FOR ORDER BY float_ops,
|
||||||
FUNCTION 1 vector_negative_inner_product(vector, vector),
|
FUNCTION 1 vector_negative_inner_product(vector, vector),
|
||||||
FUNCTION 2 vector_norm(vector);
|
FUNCTION 2 vector_norm(vector);
|
||||||
|
|
||||||
-- bit functions
|
|
||||||
|
|
||||||
CREATE FUNCTION hamming_distance(bit, bit) RETURNS float8
|
|
||||||
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
|
||||||
|
|
||||||
CREATE FUNCTION jaccard_distance(bit, bit) RETURNS float8
|
|
||||||
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
|
||||||
|
|
||||||
CREATE OPERATOR <~> (
|
|
||||||
LEFTARG = bit, RIGHTARG = bit, PROCEDURE = hamming_distance,
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|
||||||
COMMUTATOR = '<~>'
|
|
||||||
);
|
|
||||||
|
|
||||||
CREATE OPERATOR <%> (
|
|
||||||
LEFTARG = bit, RIGHTARG = bit, PROCEDURE = jaccard_distance,
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|
||||||
COMMUTATOR = '<%>'
|
|
||||||
);
|
|
||||||
|
|
||||||
CREATE OPERATOR CLASS bit_hamming_ops
|
|
||||||
FOR TYPE bit USING hnsw AS
|
|
||||||
OPERATOR 1 <~> (bit, bit) FOR ORDER BY float_ops,
|
|
||||||
FUNCTION 1 hamming_distance(bit, bit);
|
|
||||||
|
|
||||||
CREATE OPERATOR CLASS bit_jaccard_ops
|
|
||||||
FOR TYPE bit USING hnsw AS
|
|
||||||
OPERATOR 1 <%> (bit, bit) FOR ORDER BY float_ops,
|
|
||||||
FUNCTION 1 jaccard_distance(bit, bit);
|
|
||||||
|
|||||||
@@ -1,90 +0,0 @@
|
|||||||
#include "postgres.h"
|
|
||||||
|
|
||||||
#include "bitvector.h"
|
|
||||||
#include "port/pg_bitutils.h"
|
|
||||||
#include "utils/varbit.h"
|
|
||||||
|
|
||||||
#if PG_VERSION_NUM >= 160000
|
|
||||||
#include "varatt.h"
|
|
||||||
#endif
|
|
||||||
|
|
||||||
/*
|
|
||||||
* Allocate and initialize a new bit vector
|
|
||||||
*/
|
|
||||||
VarBit *
|
|
||||||
InitBitVector(int dim)
|
|
||||||
{
|
|
||||||
VarBit *result;
|
|
||||||
int size;
|
|
||||||
|
|
||||||
size = VARBITTOTALLEN(dim);
|
|
||||||
result = (VarBit *) palloc0(size);
|
|
||||||
SET_VARSIZE(result, size);
|
|
||||||
VARBITLEN(result) = dim;
|
|
||||||
|
|
||||||
return result;
|
|
||||||
}
|
|
||||||
|
|
||||||
/*
|
|
||||||
* Ensure same number of bits
|
|
||||||
*/
|
|
||||||
static inline void
|
|
||||||
CheckBitLengths(uint32 aLen, uint32 bLen)
|
|
||||||
{
|
|
||||||
if (aLen != bLen)
|
|
||||||
ereport(ERROR,
|
|
||||||
(errcode(ERRCODE_DATA_EXCEPTION),
|
|
||||||
errmsg("different bit lengths %u and %u", aLen, bLen)));
|
|
||||||
}
|
|
||||||
|
|
||||||
/*
|
|
||||||
* Get the Hamming distance between two bit strings
|
|
||||||
*/
|
|
||||||
PGDLLEXPORT PG_FUNCTION_INFO_V1(hamming_distance);
|
|
||||||
Datum
|
|
||||||
hamming_distance(PG_FUNCTION_ARGS)
|
|
||||||
{
|
|
||||||
VarBit *a = PG_GETARG_VARBIT_P(0);
|
|
||||||
VarBit *b = PG_GETARG_VARBIT_P(1);
|
|
||||||
unsigned char *ax = VARBITS(a);
|
|
||||||
unsigned char *bx = VARBITS(b);
|
|
||||||
uint64 distance = 0;
|
|
||||||
|
|
||||||
CheckBitLengths(VARBITLEN(a), VARBITLEN(b));
|
|
||||||
|
|
||||||
/* TODO Improve performance */
|
|
||||||
for (uint32 i = 0; i < VARBITBYTES(a); i++)
|
|
||||||
distance += pg_number_of_ones[ax[i] ^ bx[i]];
|
|
||||||
|
|
||||||
PG_RETURN_FLOAT8((double) distance);
|
|
||||||
}
|
|
||||||
|
|
||||||
/*
|
|
||||||
* Get the Jaccard distance between two bit strings
|
|
||||||
*/
|
|
||||||
PGDLLEXPORT PG_FUNCTION_INFO_V1(jaccard_distance);
|
|
||||||
Datum
|
|
||||||
jaccard_distance(PG_FUNCTION_ARGS)
|
|
||||||
{
|
|
||||||
VarBit *a = PG_GETARG_VARBIT_P(0);
|
|
||||||
VarBit *b = PG_GETARG_VARBIT_P(1);
|
|
||||||
unsigned char *ax = VARBITS(a);
|
|
||||||
unsigned char *bx = VARBITS(b);
|
|
||||||
uint64 ab = 0;
|
|
||||||
uint64 aa;
|
|
||||||
uint64 bb;
|
|
||||||
|
|
||||||
CheckBitLengths(VARBITLEN(a), VARBITLEN(b));
|
|
||||||
|
|
||||||
/* TODO Improve performance */
|
|
||||||
for (uint32 i = 0; i < VARBITBYTES(a); i++)
|
|
||||||
ab += pg_number_of_ones[ax[i] & bx[i]];
|
|
||||||
|
|
||||||
if (ab == 0)
|
|
||||||
PG_RETURN_FLOAT8(1);
|
|
||||||
|
|
||||||
aa = pg_popcount((char *) ax, VARBITBYTES(a));
|
|
||||||
bb = pg_popcount((char *) bx, VARBITBYTES(b));
|
|
||||||
|
|
||||||
PG_RETURN_FLOAT8(1 - (ab / ((double) (aa + bb - ab))));
|
|
||||||
}
|
|
||||||
@@ -1,8 +0,0 @@
|
|||||||
#ifndef BITVECTOR_H
|
|
||||||
#define BITVECTOR_H
|
|
||||||
|
|
||||||
#include "utils/varbit.h"
|
|
||||||
|
|
||||||
VarBit *InitBitVector(int dim);
|
|
||||||
|
|
||||||
#endif
|
|
||||||
@@ -262,7 +262,6 @@ typedef struct HnswBuildState
|
|||||||
HnswGraph *graph;
|
HnswGraph *graph;
|
||||||
double ml;
|
double ml;
|
||||||
int maxLevel;
|
int maxLevel;
|
||||||
Vector *normvec;
|
|
||||||
|
|
||||||
/* Memory */
|
/* Memory */
|
||||||
MemoryContext graphCtx;
|
MemoryContext graphCtx;
|
||||||
@@ -367,7 +366,7 @@ typedef struct HnswVacuumState
|
|||||||
int HnswGetM(Relation index);
|
int HnswGetM(Relation index);
|
||||||
int HnswGetEfConstruction(Relation index);
|
int HnswGetEfConstruction(Relation index);
|
||||||
FmgrInfo *HnswOptionalProcInfo(Relation index, uint16 procnum);
|
FmgrInfo *HnswOptionalProcInfo(Relation index, uint16 procnum);
|
||||||
bool HnswNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result);
|
bool HnswNormValue(FmgrInfo *procinfo, Oid collation, Datum *value);
|
||||||
Buffer HnswNewBuffer(Relation index, ForkNumber forkNum);
|
Buffer HnswNewBuffer(Relation index, ForkNumber forkNum);
|
||||||
void HnswInitPage(Buffer buf, Page page);
|
void HnswInitPage(Buffer buf, Page page);
|
||||||
void HnswInit(void);
|
void HnswInit(void);
|
||||||
|
|||||||
@@ -44,7 +44,6 @@
|
|||||||
#include "access/xact.h"
|
#include "access/xact.h"
|
||||||
#include "access/xloginsert.h"
|
#include "access/xloginsert.h"
|
||||||
#include "catalog/index.h"
|
#include "catalog/index.h"
|
||||||
#include "catalog/pg_type_d.h"
|
|
||||||
#include "commands/progress.h"
|
#include "commands/progress.h"
|
||||||
#include "hnsw.h"
|
#include "hnsw.h"
|
||||||
#include "miscadmin.h"
|
#include "miscadmin.h"
|
||||||
@@ -490,7 +489,7 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heaptid, Hn
|
|||||||
/* Normalize if needed */
|
/* Normalize if needed */
|
||||||
if (buildstate->normprocinfo != NULL)
|
if (buildstate->normprocinfo != NULL)
|
||||||
{
|
{
|
||||||
if (!HnswNormValue(buildstate->normprocinfo, buildstate->collation, &value, buildstate->normvec))
|
if (!HnswNormValue(buildstate->normprocinfo, buildstate->collation, &value))
|
||||||
return false;
|
return false;
|
||||||
}
|
}
|
||||||
|
|
||||||
@@ -672,12 +671,6 @@ HnswSharedMemoryAlloc(Size size, void *state)
|
|||||||
static void
|
static void
|
||||||
InitBuildState(HnswBuildState * buildstate, Relation heap, Relation index, IndexInfo *indexInfo, ForkNumber forkNum)
|
InitBuildState(HnswBuildState * buildstate, Relation heap, Relation index, IndexInfo *indexInfo, ForkNumber forkNum)
|
||||||
{
|
{
|
||||||
int maxDimensions = HNSW_MAX_DIM;
|
|
||||||
Oid typid = TupleDescAttr(index->rd_att, 0)->atttypid;
|
|
||||||
|
|
||||||
if (typid == BITOID || typid == VARBITOID)
|
|
||||||
maxDimensions *= 32;
|
|
||||||
|
|
||||||
buildstate->heap = heap;
|
buildstate->heap = heap;
|
||||||
buildstate->index = index;
|
buildstate->index = index;
|
||||||
buildstate->indexInfo = indexInfo;
|
buildstate->indexInfo = indexInfo;
|
||||||
@@ -691,8 +684,8 @@ InitBuildState(HnswBuildState * buildstate, Relation heap, Relation index, Index
|
|||||||
if (buildstate->dimensions < 0)
|
if (buildstate->dimensions < 0)
|
||||||
elog(ERROR, "column does not have dimensions");
|
elog(ERROR, "column does not have dimensions");
|
||||||
|
|
||||||
if (buildstate->dimensions > maxDimensions)
|
if (buildstate->dimensions > HNSW_MAX_DIM)
|
||||||
elog(ERROR, "column cannot have more than %d dimensions for hnsw index", maxDimensions);
|
elog(ERROR, "column cannot have more than %d dimensions for hnsw index", HNSW_MAX_DIM);
|
||||||
|
|
||||||
if (buildstate->efConstruction < 2 * buildstate->m)
|
if (buildstate->efConstruction < 2 * buildstate->m)
|
||||||
elog(ERROR, "ef_construction must be greater than or equal to 2 * m");
|
elog(ERROR, "ef_construction must be greater than or equal to 2 * m");
|
||||||
@@ -710,9 +703,6 @@ InitBuildState(HnswBuildState * buildstate, Relation heap, Relation index, Index
|
|||||||
buildstate->ml = HnswGetMl(buildstate->m);
|
buildstate->ml = HnswGetMl(buildstate->m);
|
||||||
buildstate->maxLevel = HnswGetMaxLevel(buildstate->m);
|
buildstate->maxLevel = HnswGetMaxLevel(buildstate->m);
|
||||||
|
|
||||||
/* Reuse for each tuple */
|
|
||||||
buildstate->normvec = InitVector(buildstate->dimensions);
|
|
||||||
|
|
||||||
buildstate->graphCtx = GenerationContextCreate(CurrentMemoryContext,
|
buildstate->graphCtx = GenerationContextCreate(CurrentMemoryContext,
|
||||||
"Hnsw build graph context",
|
"Hnsw build graph context",
|
||||||
#if PG_VERSION_NUM >= 150000
|
#if PG_VERSION_NUM >= 150000
|
||||||
@@ -736,7 +726,6 @@ InitBuildState(HnswBuildState * buildstate, Relation heap, Relation index, Index
|
|||||||
static void
|
static void
|
||||||
FreeBuildState(HnswBuildState * buildstate)
|
FreeBuildState(HnswBuildState * buildstate)
|
||||||
{
|
{
|
||||||
pfree(buildstate->normvec);
|
|
||||||
MemoryContextDelete(buildstate->graphCtx);
|
MemoryContextDelete(buildstate->graphCtx);
|
||||||
MemoryContextDelete(buildstate->tmpCtx);
|
MemoryContextDelete(buildstate->tmpCtx);
|
||||||
}
|
}
|
||||||
|
|||||||
@@ -622,7 +622,7 @@ HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_ti
|
|||||||
normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
|
normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
|
||||||
if (normprocinfo != NULL)
|
if (normprocinfo != NULL)
|
||||||
{
|
{
|
||||||
if (!HnswNormValue(normprocinfo, collation, &value, NULL))
|
if (!HnswNormValue(normprocinfo, collation, &value))
|
||||||
return;
|
return;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|||||||
@@ -1,8 +1,6 @@
|
|||||||
#include "postgres.h"
|
#include "postgres.h"
|
||||||
|
|
||||||
#include "access/relscan.h"
|
#include "access/relscan.h"
|
||||||
#include "bitvector.h"
|
|
||||||
#include "catalog/pg_type_d.h"
|
|
||||||
#include "hnsw.h"
|
#include "hnsw.h"
|
||||||
#include "pgstat.h"
|
#include "pgstat.h"
|
||||||
#include "storage/bufmgr.h"
|
#include "storage/bufmgr.h"
|
||||||
@@ -75,15 +73,7 @@ GetScanValue(IndexScanDesc scan)
|
|||||||
Datum value;
|
Datum value;
|
||||||
|
|
||||||
if (scan->orderByData->sk_flags & SK_ISNULL)
|
if (scan->orderByData->sk_flags & SK_ISNULL)
|
||||||
{
|
value = PointerGetDatum(InitVector(GetDimensions(scan->indexRelation)));
|
||||||
Oid typid = TupleDescAttr(scan->indexRelation->rd_att, 0)->atttypid;
|
|
||||||
int dimensions = GetDimensions(scan->indexRelation);
|
|
||||||
|
|
||||||
if (typid == BITOID || typid == VARBITOID)
|
|
||||||
value = PointerGetDatum(InitBitVector(dimensions));
|
|
||||||
else
|
|
||||||
value = PointerGetDatum(InitVector(dimensions));
|
|
||||||
}
|
|
||||||
else
|
else
|
||||||
{
|
{
|
||||||
value = scan->orderByData->sk_argument;
|
value = scan->orderByData->sk_argument;
|
||||||
@@ -94,7 +84,7 @@ GetScanValue(IndexScanDesc scan)
|
|||||||
|
|
||||||
/* Fine if normalization fails */
|
/* Fine if normalization fails */
|
||||||
if (so->normprocinfo != NULL)
|
if (so->normprocinfo != NULL)
|
||||||
HnswNormValue(so->normprocinfo, so->collation, &value, NULL);
|
HnswNormValue(so->normprocinfo, so->collation, &value);
|
||||||
}
|
}
|
||||||
|
|
||||||
return value;
|
return value;
|
||||||
|
|||||||
@@ -158,16 +158,14 @@ HnswOptionalProcInfo(Relation index, uint16 procnum)
|
|||||||
* if it's different than the original value
|
* if it's different than the original value
|
||||||
*/
|
*/
|
||||||
bool
|
bool
|
||||||
HnswNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result)
|
HnswNormValue(FmgrInfo *procinfo, Oid collation, Datum *value)
|
||||||
{
|
{
|
||||||
double norm = DatumGetFloat8(FunctionCall1Coll(procinfo, collation, *value));
|
double norm = DatumGetFloat8(FunctionCall1Coll(procinfo, collation, *value));
|
||||||
|
|
||||||
if (norm > 0)
|
if (norm > 0)
|
||||||
{
|
{
|
||||||
Vector *v = DatumGetVector(*value);
|
Vector *v = DatumGetVector(*value);
|
||||||
|
Vector *result = InitVector(v->dim);
|
||||||
if (result == NULL)
|
|
||||||
result = InitVector(v->dim);
|
|
||||||
|
|
||||||
for (int i = 0; i < v->dim; i++)
|
for (int i = 0; i < v->dim; i++)
|
||||||
result->x[i] = v->x[i] / norm;
|
result->x[i] = v->x[i] / norm;
|
||||||
|
|||||||
@@ -57,7 +57,7 @@ AddSample(Datum *values, IvfflatBuildState * buildstate)
|
|||||||
*/
|
*/
|
||||||
if (buildstate->kmeansnormprocinfo != NULL)
|
if (buildstate->kmeansnormprocinfo != NULL)
|
||||||
{
|
{
|
||||||
if (!IvfflatNormValue(buildstate->kmeansnormprocinfo, buildstate->collation, &value, buildstate->normvec))
|
if (!IvfflatNormValue(buildstate->kmeansnormprocinfo, buildstate->collation, &value))
|
||||||
return;
|
return;
|
||||||
}
|
}
|
||||||
|
|
||||||
@@ -153,7 +153,7 @@ AddTupleToSort(Relation index, ItemPointer tid, Datum *values, IvfflatBuildState
|
|||||||
/* Normalize if needed */
|
/* Normalize if needed */
|
||||||
if (buildstate->normprocinfo != NULL)
|
if (buildstate->normprocinfo != NULL)
|
||||||
{
|
{
|
||||||
if (!IvfflatNormValue(buildstate->normprocinfo, buildstate->collation, &value, buildstate->normvec))
|
if (!IvfflatNormValue(buildstate->normprocinfo, buildstate->collation, &value))
|
||||||
return;
|
return;
|
||||||
}
|
}
|
||||||
|
|
||||||
@@ -356,9 +356,6 @@ InitBuildState(IvfflatBuildState * buildstate, Relation heap, Relation index, In
|
|||||||
buildstate->centers = VectorArrayInit(buildstate->lists, buildstate->dimensions);
|
buildstate->centers = VectorArrayInit(buildstate->lists, buildstate->dimensions);
|
||||||
buildstate->listInfo = palloc(sizeof(ListInfo) * buildstate->lists);
|
buildstate->listInfo = palloc(sizeof(ListInfo) * buildstate->lists);
|
||||||
|
|
||||||
/* Reuse for each tuple */
|
|
||||||
buildstate->normvec = InitVector(buildstate->dimensions);
|
|
||||||
|
|
||||||
buildstate->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
|
buildstate->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
|
||||||
"Ivfflat build temporary context",
|
"Ivfflat build temporary context",
|
||||||
ALLOCSET_DEFAULT_SIZES);
|
ALLOCSET_DEFAULT_SIZES);
|
||||||
@@ -380,7 +377,6 @@ FreeBuildState(IvfflatBuildState * buildstate)
|
|||||||
{
|
{
|
||||||
VectorArrayFree(buildstate->centers);
|
VectorArrayFree(buildstate->centers);
|
||||||
pfree(buildstate->listInfo);
|
pfree(buildstate->listInfo);
|
||||||
pfree(buildstate->normvec);
|
|
||||||
|
|
||||||
#ifdef IVFFLAT_KMEANS_DEBUG
|
#ifdef IVFFLAT_KMEANS_DEBUG
|
||||||
pfree(buildstate->listSums);
|
pfree(buildstate->listSums);
|
||||||
|
|||||||
@@ -172,7 +172,6 @@ typedef struct IvfflatBuildState
|
|||||||
VectorArray samples;
|
VectorArray samples;
|
||||||
VectorArray centers;
|
VectorArray centers;
|
||||||
ListInfo *listInfo;
|
ListInfo *listInfo;
|
||||||
Vector *normvec;
|
|
||||||
|
|
||||||
#ifdef IVFFLAT_KMEANS_DEBUG
|
#ifdef IVFFLAT_KMEANS_DEBUG
|
||||||
double inertia;
|
double inertia;
|
||||||
@@ -267,7 +266,7 @@ void VectorArrayFree(VectorArray arr);
|
|||||||
void PrintVectorArray(char *msg, VectorArray arr);
|
void PrintVectorArray(char *msg, VectorArray arr);
|
||||||
void IvfflatKmeans(Relation index, VectorArray samples, VectorArray centers);
|
void IvfflatKmeans(Relation index, VectorArray samples, VectorArray centers);
|
||||||
FmgrInfo *IvfflatOptionalProcInfo(Relation index, uint16 procnum);
|
FmgrInfo *IvfflatOptionalProcInfo(Relation index, uint16 procnum);
|
||||||
bool IvfflatNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result);
|
bool IvfflatNormValue(FmgrInfo *procinfo, Oid collation, Datum *value);
|
||||||
int IvfflatGetLists(Relation index);
|
int IvfflatGetLists(Relation index);
|
||||||
void IvfflatGetMetaPageInfo(Relation index, int *lists, int *dimensions);
|
void IvfflatGetMetaPageInfo(Relation index, int *lists, int *dimensions);
|
||||||
void IvfflatUpdateList(Relation index, ListInfo listInfo, BlockNumber insertPage, BlockNumber originalInsertPage, BlockNumber startPage, ForkNumber forkNum);
|
void IvfflatUpdateList(Relation index, ListInfo listInfo, BlockNumber insertPage, BlockNumber originalInsertPage, BlockNumber startPage, ForkNumber forkNum);
|
||||||
|
|||||||
@@ -85,7 +85,7 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, R
|
|||||||
normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC);
|
normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC);
|
||||||
if (normprocinfo != NULL)
|
if (normprocinfo != NULL)
|
||||||
{
|
{
|
||||||
if (!IvfflatNormValue(normprocinfo, index->rd_indcollation[0], &value, NULL))
|
if (!IvfflatNormValue(normprocinfo, index->rd_indcollation[0], &value))
|
||||||
return;
|
return;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|||||||
@@ -293,7 +293,7 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
|
|||||||
|
|
||||||
/* Fine if normalization fails */
|
/* Fine if normalization fails */
|
||||||
if (so->normprocinfo != NULL)
|
if (so->normprocinfo != NULL)
|
||||||
IvfflatNormValue(so->normprocinfo, so->collation, &value, NULL);
|
IvfflatNormValue(so->normprocinfo, so->collation, &value);
|
||||||
}
|
}
|
||||||
|
|
||||||
IvfflatBench("GetScanLists", GetScanLists(scan, value));
|
IvfflatBench("GetScanLists", GetScanLists(scan, value));
|
||||||
|
|||||||
@@ -75,16 +75,14 @@ IvfflatOptionalProcInfo(Relation index, uint16 procnum)
|
|||||||
* if it's different than the original value
|
* if it's different than the original value
|
||||||
*/
|
*/
|
||||||
bool
|
bool
|
||||||
IvfflatNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result)
|
IvfflatNormValue(FmgrInfo *procinfo, Oid collation, Datum *value)
|
||||||
{
|
{
|
||||||
double norm = DatumGetFloat8(FunctionCall1Coll(procinfo, collation, *value));
|
double norm = DatumGetFloat8(FunctionCall1Coll(procinfo, collation, *value));
|
||||||
|
|
||||||
if (norm > 0)
|
if (norm > 0)
|
||||||
{
|
{
|
||||||
Vector *v = DatumGetVector(*value);
|
Vector *v = DatumGetVector(*value);
|
||||||
|
Vector *result = InitVector(v->dim);
|
||||||
if (result == NULL)
|
|
||||||
result = InitVector(v->dim);
|
|
||||||
|
|
||||||
for (int i = 0; i < v->dim; i++)
|
for (int i = 0; i < v->dim; i++)
|
||||||
result->x[i] = v->x[i] / norm;
|
result->x[i] = v->x[i] / norm;
|
||||||
|
|||||||
71
src/vector.c
71
src/vector.c
@@ -2,7 +2,6 @@
|
|||||||
|
|
||||||
#include <math.h>
|
#include <math.h>
|
||||||
|
|
||||||
#include "bitvector.h"
|
|
||||||
#include "catalog/pg_type.h"
|
#include "catalog/pg_type.h"
|
||||||
#include "common/shortest_dec.h"
|
#include "common/shortest_dec.h"
|
||||||
#include "fmgr.h"
|
#include "fmgr.h"
|
||||||
@@ -30,6 +29,15 @@
|
|||||||
#define STATE_DIMS(x) (ARR_DIMS(x)[0] - 1)
|
#define STATE_DIMS(x) (ARR_DIMS(x)[0] - 1)
|
||||||
#define CreateStateDatums(dim) palloc(sizeof(Datum) * (dim + 1))
|
#define CreateStateDatums(dim) palloc(sizeof(Datum) * (dim + 1))
|
||||||
|
|
||||||
|
#if defined(__x86_64__) && defined(__gnu_linux__) && defined(__has_attribute) && __has_attribute(target_clones)
|
||||||
|
#define RUNTIME_DISPATCH __attribute__((target_clones("default", "avx", "fma", "avx512f")))
|
||||||
|
#elif defined(__aarch64__) && defined(__gnu_linux__) && defined(__has_attribute) && __has_attribute(target_clones)
|
||||||
|
/* TODO Fix error: target does not support function version dispatcher */
|
||||||
|
#define RUNTIME_DISPATCH __attribute__((target_clones("default", "arch=armv8.5-a")))
|
||||||
|
#else
|
||||||
|
#define RUNTIME_DISPATCH
|
||||||
|
#endif
|
||||||
|
|
||||||
PG_MODULE_MAGIC;
|
PG_MODULE_MAGIC;
|
||||||
|
|
||||||
/*
|
/*
|
||||||
@@ -533,6 +541,23 @@ vector_to_float4(PG_FUNCTION_ARGS)
|
|||||||
PG_RETURN_POINTER(result);
|
PG_RETURN_POINTER(result);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
RUNTIME_DISPATCH
|
||||||
|
static float
|
||||||
|
l2_squared_distance_impl(int16 dim, float *ax, float *bx)
|
||||||
|
{
|
||||||
|
float distance = 0.0;
|
||||||
|
|
||||||
|
/* Auto-vectorized */
|
||||||
|
for (int16 i = 0; i < dim; i++)
|
||||||
|
{
|
||||||
|
float diff = ax[i] - bx[i];
|
||||||
|
|
||||||
|
distance += diff * diff;
|
||||||
|
}
|
||||||
|
|
||||||
|
return distance;
|
||||||
|
}
|
||||||
|
|
||||||
/*
|
/*
|
||||||
* Get the L2 distance between vectors
|
* Get the L2 distance between vectors
|
||||||
*/
|
*/
|
||||||
@@ -542,19 +567,11 @@ l2_distance(PG_FUNCTION_ARGS)
|
|||||||
{
|
{
|
||||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||||
float *ax = a->x;
|
float distance;
|
||||||
float *bx = b->x;
|
|
||||||
float distance = 0.0;
|
|
||||||
float diff;
|
|
||||||
|
|
||||||
CheckDims(a, b);
|
CheckDims(a, b);
|
||||||
|
|
||||||
/* Auto-vectorized */
|
distance = l2_squared_distance_impl(a->dim, a->x, b->x);
|
||||||
for (int i = 0; i < a->dim; i++)
|
|
||||||
{
|
|
||||||
diff = ax[i] - bx[i];
|
|
||||||
distance += diff * diff;
|
|
||||||
}
|
|
||||||
|
|
||||||
PG_RETURN_FLOAT8(sqrt((double) distance));
|
PG_RETURN_FLOAT8(sqrt((double) distance));
|
||||||
}
|
}
|
||||||
@@ -569,19 +586,11 @@ vector_l2_squared_distance(PG_FUNCTION_ARGS)
|
|||||||
{
|
{
|
||||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
Vector *a = PG_GETARG_VECTOR_P(0);
|
||||||
Vector *b = PG_GETARG_VECTOR_P(1);
|
Vector *b = PG_GETARG_VECTOR_P(1);
|
||||||
float *ax = a->x;
|
float distance;
|
||||||
float *bx = b->x;
|
|
||||||
float distance = 0.0;
|
|
||||||
float diff;
|
|
||||||
|
|
||||||
CheckDims(a, b);
|
CheckDims(a, b);
|
||||||
|
|
||||||
/* Auto-vectorized */
|
distance = l2_squared_distance_impl(a->dim, a->x, b->x);
|
||||||
for (int i = 0; i < a->dim; i++)
|
|
||||||
{
|
|
||||||
diff = ax[i] - bx[i];
|
|
||||||
distance += diff * diff;
|
|
||||||
}
|
|
||||||
|
|
||||||
PG_RETURN_FLOAT8((double) distance);
|
PG_RETURN_FLOAT8((double) distance);
|
||||||
}
|
}
|
||||||
@@ -861,26 +870,6 @@ vector_mul(PG_FUNCTION_ARGS)
|
|||||||
PG_RETURN_POINTER(result);
|
PG_RETURN_POINTER(result);
|
||||||
}
|
}
|
||||||
|
|
||||||
/*
|
|
||||||
* Quantize a vector
|
|
||||||
*/
|
|
||||||
PGDLLEXPORT PG_FUNCTION_INFO_V1(quantize_binary);
|
|
||||||
Datum
|
|
||||||
quantize_binary(PG_FUNCTION_ARGS)
|
|
||||||
{
|
|
||||||
Vector *a = PG_GETARG_VECTOR_P(0);
|
|
||||||
float *ax = a->x;
|
|
||||||
VarBit *result = InitBitVector(a->dim);
|
|
||||||
unsigned char *rx = VARBITS(result);
|
|
||||||
|
|
||||||
/* TODO Improve */
|
|
||||||
for (int i = 0; i < a->dim; i++)
|
|
||||||
rx[i / 8] |= (ax[i] > 0) << (7 - (i % 8));
|
|
||||||
|
|
||||||
PG_RETURN_VARBIT_P(result);
|
|
||||||
}
|
|
||||||
|
|
||||||
|
|
||||||
/*
|
/*
|
||||||
* Internal helper to compare vectors
|
* Internal helper to compare vectors
|
||||||
*/
|
*/
|
||||||
|
|||||||
@@ -1,64 +0,0 @@
|
|||||||
SELECT hamming_distance(B'111', B'111');
|
|
||||||
hamming_distance
|
|
||||||
------------------
|
|
||||||
0
|
|
||||||
(1 row)
|
|
||||||
|
|
||||||
SELECT hamming_distance(B'111', B'110');
|
|
||||||
hamming_distance
|
|
||||||
------------------
|
|
||||||
1
|
|
||||||
(1 row)
|
|
||||||
|
|
||||||
SELECT hamming_distance(B'111', B'100');
|
|
||||||
hamming_distance
|
|
||||||
------------------
|
|
||||||
2
|
|
||||||
(1 row)
|
|
||||||
|
|
||||||
SELECT hamming_distance(B'111', B'000');
|
|
||||||
hamming_distance
|
|
||||||
------------------
|
|
||||||
3
|
|
||||||
(1 row)
|
|
||||||
|
|
||||||
SELECT hamming_distance(B'111', B'00');
|
|
||||||
ERROR: different bit lengths 3 and 2
|
|
||||||
SELECT jaccard_distance(B'1111', B'1111');
|
|
||||||
jaccard_distance
|
|
||||||
------------------
|
|
||||||
0
|
|
||||||
(1 row)
|
|
||||||
|
|
||||||
SELECT jaccard_distance(B'1111', B'1110');
|
|
||||||
jaccard_distance
|
|
||||||
------------------
|
|
||||||
0.25
|
|
||||||
(1 row)
|
|
||||||
|
|
||||||
SELECT jaccard_distance(B'1111', B'1100');
|
|
||||||
jaccard_distance
|
|
||||||
------------------
|
|
||||||
0.5
|
|
||||||
(1 row)
|
|
||||||
|
|
||||||
SELECT jaccard_distance(B'1111', B'1000');
|
|
||||||
jaccard_distance
|
|
||||||
------------------
|
|
||||||
0.75
|
|
||||||
(1 row)
|
|
||||||
|
|
||||||
SELECT jaccard_distance(B'1111', B'0000');
|
|
||||||
jaccard_distance
|
|
||||||
------------------
|
|
||||||
1
|
|
||||||
(1 row)
|
|
||||||
|
|
||||||
SELECT jaccard_distance(B'1100', B'1000');
|
|
||||||
jaccard_distance
|
|
||||||
------------------
|
|
||||||
0.5
|
|
||||||
(1 row)
|
|
||||||
|
|
||||||
SELECT jaccard_distance(B'1111', B'000');
|
|
||||||
ERROR: different bit lengths 4 and 3
|
|
||||||
@@ -208,18 +208,6 @@ SELECT l1_distance('[3e38]', '[-3e38]');
|
|||||||
Infinity
|
Infinity
|
||||||
(1 row)
|
(1 row)
|
||||||
|
|
||||||
SELECT quantize_binary('[1,0,-1]');
|
|
||||||
quantize_binary
|
|
||||||
-----------------
|
|
||||||
100
|
|
||||||
(1 row)
|
|
||||||
|
|
||||||
SELECT quantize_binary('[0,0.1,-0.2,-0.3,0.4,0.5,0.6,-0.7,0.8,-0.9,1]');
|
|
||||||
quantize_binary
|
|
||||||
-----------------
|
|
||||||
01001110101
|
|
||||||
(1 row)
|
|
||||||
|
|
||||||
SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]']) v;
|
SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]']) v;
|
||||||
avg
|
avg
|
||||||
-----------
|
-----------
|
||||||
|
|||||||
@@ -1,21 +0,0 @@
|
|||||||
SET enable_seqscan = off;
|
|
||||||
CREATE TABLE t (val bit(3));
|
|
||||||
INSERT INTO t (val) VALUES (B'000'), (B'100'), (B'111'), (NULL);
|
|
||||||
CREATE INDEX ON t USING hnsw (val bit_hamming_ops);
|
|
||||||
INSERT INTO t (val) VALUES (B'110');
|
|
||||||
SELECT * FROM t ORDER BY val <~> B'111';
|
|
||||||
val
|
|
||||||
-----
|
|
||||||
111
|
|
||||||
110
|
|
||||||
100
|
|
||||||
000
|
|
||||||
(4 rows)
|
|
||||||
|
|
||||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <~> (SELECT NULL::bit)) t2;
|
|
||||||
count
|
|
||||||
-------
|
|
||||||
4
|
|
||||||
(1 row)
|
|
||||||
|
|
||||||
DROP TABLE t;
|
|
||||||
@@ -1,21 +0,0 @@
|
|||||||
SET enable_seqscan = off;
|
|
||||||
CREATE TABLE t (val bit(4));
|
|
||||||
INSERT INTO t (val) VALUES (B'0000'), (B'1100'), (B'1111'), (NULL);
|
|
||||||
CREATE INDEX ON t USING hnsw (val bit_jaccard_ops);
|
|
||||||
INSERT INTO t (val) VALUES (B'1110');
|
|
||||||
SELECT * FROM t ORDER BY val <%> B'1111';
|
|
||||||
val
|
|
||||||
------
|
|
||||||
1111
|
|
||||||
1110
|
|
||||||
1100
|
|
||||||
0000
|
|
||||||
(4 rows)
|
|
||||||
|
|
||||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <%> (SELECT NULL::bit)) t2;
|
|
||||||
count
|
|
||||||
-------
|
|
||||||
4
|
|
||||||
(1 row)
|
|
||||||
|
|
||||||
DROP TABLE t;
|
|
||||||
@@ -1,13 +0,0 @@
|
|||||||
SELECT hamming_distance(B'111', B'111');
|
|
||||||
SELECT hamming_distance(B'111', B'110');
|
|
||||||
SELECT hamming_distance(B'111', B'100');
|
|
||||||
SELECT hamming_distance(B'111', B'000');
|
|
||||||
SELECT hamming_distance(B'111', B'00');
|
|
||||||
|
|
||||||
SELECT jaccard_distance(B'1111', B'1111');
|
|
||||||
SELECT jaccard_distance(B'1111', B'1110');
|
|
||||||
SELECT jaccard_distance(B'1111', B'1100');
|
|
||||||
SELECT jaccard_distance(B'1111', B'1000');
|
|
||||||
SELECT jaccard_distance(B'1111', B'0000');
|
|
||||||
SELECT jaccard_distance(B'1100', B'1000');
|
|
||||||
SELECT jaccard_distance(B'1111', B'000');
|
|
||||||
@@ -48,9 +48,6 @@ SELECT l1_distance('[0,0]', '[0,1]');
|
|||||||
SELECT l1_distance('[1,2]', '[3]');
|
SELECT l1_distance('[1,2]', '[3]');
|
||||||
SELECT l1_distance('[3e38]', '[-3e38]');
|
SELECT l1_distance('[3e38]', '[-3e38]');
|
||||||
|
|
||||||
SELECT quantize_binary('[1,0,-1]');
|
|
||||||
SELECT quantize_binary('[0,0.1,-0.2,-0.3,0.4,0.5,0.6,-0.7,0.8,-0.9,1]');
|
|
||||||
|
|
||||||
SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]']) v;
|
SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]']) v;
|
||||||
SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]', NULL]) v;
|
SELECT avg(v) FROM unnest(ARRAY['[1,2,3]'::vector, '[3,5,7]', NULL]) v;
|
||||||
SELECT avg(v) FROM unnest(ARRAY[]::vector[]) v;
|
SELECT avg(v) FROM unnest(ARRAY[]::vector[]) v;
|
||||||
|
|||||||
@@ -1,12 +0,0 @@
|
|||||||
SET enable_seqscan = off;
|
|
||||||
|
|
||||||
CREATE TABLE t (val bit(3));
|
|
||||||
INSERT INTO t (val) VALUES (B'000'), (B'100'), (B'111'), (NULL);
|
|
||||||
CREATE INDEX ON t USING hnsw (val bit_hamming_ops);
|
|
||||||
|
|
||||||
INSERT INTO t (val) VALUES (B'110');
|
|
||||||
|
|
||||||
SELECT * FROM t ORDER BY val <~> B'111';
|
|
||||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <~> (SELECT NULL::bit)) t2;
|
|
||||||
|
|
||||||
DROP TABLE t;
|
|
||||||
@@ -1,12 +0,0 @@
|
|||||||
SET enable_seqscan = off;
|
|
||||||
|
|
||||||
CREATE TABLE t (val bit(4));
|
|
||||||
INSERT INTO t (val) VALUES (B'0000'), (B'1100'), (B'1111'), (NULL);
|
|
||||||
CREATE INDEX ON t USING hnsw (val bit_jaccard_ops);
|
|
||||||
|
|
||||||
INSERT INTO t (val) VALUES (B'1110');
|
|
||||||
|
|
||||||
SELECT * FROM t ORDER BY val <%> B'1111';
|
|
||||||
SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <%> (SELECT NULL::bit)) t2;
|
|
||||||
|
|
||||||
DROP TABLE t;
|
|
||||||
@@ -1,137 +0,0 @@
|
|||||||
use strict;
|
|
||||||
use warnings;
|
|
||||||
use PostgresNode;
|
|
||||||
use TestLib;
|
|
||||||
use Test::More;
|
|
||||||
|
|
||||||
my $node;
|
|
||||||
my @queries = ();
|
|
||||||
my @expected;
|
|
||||||
my $limit = 20;
|
|
||||||
my $dim = 52;
|
|
||||||
my $max = 2**$dim;
|
|
||||||
|
|
||||||
sub test_recall
|
|
||||||
{
|
|
||||||
my ($min, $operator) = @_;
|
|
||||||
my $correct = 0;
|
|
||||||
my $total = 0;
|
|
||||||
|
|
||||||
my $explain = $node->safe_psql("postgres", qq(
|
|
||||||
SET enable_seqscan = off;
|
|
||||||
SET hnsw.ef_search = 100;
|
|
||||||
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;
|
|
||||||
SET hnsw.ef_search = 100;
|
|
||||||
SELECT i FROM tst ORDER BY v $operator $queries[$i] LIMIT $limit;
|
|
||||||
));
|
|
||||||
my @actual_ids = split("\n", $actual);
|
|
||||||
|
|
||||||
my @expected_ids = split("\n", $expected[$i]);
|
|
||||||
my %expected_set = map { $_ => 1 } @expected_ids;
|
|
||||||
|
|
||||||
foreach (@actual_ids)
|
|
||||||
{
|
|
||||||
if (exists($expected_set{$_}))
|
|
||||||
{
|
|
||||||
$correct++;
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
$total += $limit;
|
|
||||||
}
|
|
||||||
|
|
||||||
cmp_ok($correct / $total, ">=", $min, $operator);
|
|
||||||
}
|
|
||||||
|
|
||||||
# Initialize node
|
|
||||||
$node = get_new_node('node');
|
|
||||||
$node->init;
|
|
||||||
$node->start;
|
|
||||||
|
|
||||||
# Create table
|
|
||||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
|
||||||
$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v bit($dim));");
|
|
||||||
$node->safe_psql("postgres",
|
|
||||||
"INSERT INTO tst SELECT i, (random() * $max)::bigint::bit($dim) FROM generate_series(1, 10000) i;"
|
|
||||||
);
|
|
||||||
|
|
||||||
# Generate queries
|
|
||||||
for (1 .. 20)
|
|
||||||
{
|
|
||||||
my $r = int(rand() * $max);
|
|
||||||
push(@queries, "${r}::bigint::bit($dim)");
|
|
||||||
}
|
|
||||||
|
|
||||||
# Check each index type
|
|
||||||
my @operators = ("<~>", "<\%>");
|
|
||||||
my @opclasses = ("bit_hamming_ops", "bit_jaccard_ops");
|
|
||||||
|
|
||||||
for my $i (0 .. $#operators)
|
|
||||||
{
|
|
||||||
my $operator = $operators[$i];
|
|
||||||
my $opclass = $opclasses[$i];
|
|
||||||
|
|
||||||
# Get exact results
|
|
||||||
@expected = ();
|
|
||||||
foreach (@queries)
|
|
||||||
{
|
|
||||||
# Handle ties
|
|
||||||
my $res = $node->safe_psql("postgres", qq(
|
|
||||||
WITH top AS (
|
|
||||||
SELECT v $operator $_ AS distance FROM tst ORDER BY v $operator $_ LIMIT $limit
|
|
||||||
)
|
|
||||||
SELECT i FROM tst WHERE (v $operator $_) <= (SELECT MAX(distance) FROM top)
|
|
||||||
));
|
|
||||||
push(@expected, $res);
|
|
||||||
}
|
|
||||||
|
|
||||||
# Build index serially
|
|
||||||
$node->safe_psql("postgres", qq(
|
|
||||||
SET max_parallel_maintenance_workers = 0;
|
|
||||||
CREATE INDEX idx ON tst USING hnsw (v $opclass);
|
|
||||||
));
|
|
||||||
|
|
||||||
# Test approximate results
|
|
||||||
my $min = $operator eq "<\%>" ? 0.96 : 0.99;
|
|
||||||
test_recall($min, $operator);
|
|
||||||
|
|
||||||
$node->safe_psql("postgres", "DROP INDEX idx;");
|
|
||||||
|
|
||||||
# Build index in parallel in memory
|
|
||||||
my ($ret, $stdout, $stderr) = $node->psql("postgres", qq(
|
|
||||||
SET client_min_messages = DEBUG;
|
|
||||||
SET min_parallel_table_scan_size = 1;
|
|
||||||
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);
|
|
||||||
|
|
||||||
$node->safe_psql("postgres", "DROP INDEX idx;");
|
|
||||||
|
|
||||||
# Build index in parallel on disk
|
|
||||||
# Set parallel_workers on table to use workers with low maintenance_work_mem
|
|
||||||
($ret, $stdout, $stderr) = $node->psql("postgres", qq(
|
|
||||||
ALTER TABLE tst SET (parallel_workers = 2);
|
|
||||||
SET client_min_messages = DEBUG;
|
|
||||||
SET maintenance_work_mem = '4MB';
|
|
||||||
CREATE INDEX idx ON tst USING hnsw (v $opclass);
|
|
||||||
ALTER TABLE tst RESET (parallel_workers);
|
|
||||||
));
|
|
||||||
is($ret, 0, $stderr);
|
|
||||||
like($stderr, qr/using \d+ parallel workers/);
|
|
||||||
like($stderr, qr/hnsw graph no longer fits into maintenance_work_mem/);
|
|
||||||
|
|
||||||
$node->safe_psql("postgres", "DROP INDEX idx;");
|
|
||||||
}
|
|
||||||
|
|
||||||
done_testing();
|
|
||||||
Reference in New Issue
Block a user