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@@ -1,3 +1,11 @@
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## 0.1.6 (2021-06-09)
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- Fixed segmentation fault with `COUNT`
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## 0.1.5 (2021-05-25)
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- Reduced memory usage during index creation
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## 0.1.4 (2021-05-09)
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- Fixed kmeans for inner product
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@@ -2,7 +2,7 @@
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"name": "vector",
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"abstract": "Open-source vector similarity search for Postgres",
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"description": "Supports L2 distance, inner product, and cosine distance",
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"version": "0.1.4",
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"version": "0.1.6",
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"maintainer": [
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"Andrew Kane <andrew@ankane.org>"
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],
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@@ -20,7 +20,7 @@
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"vector": {
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"file": "sql/vector.sql",
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"docfile": "README.md",
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"version": "0.1.4",
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"version": "0.1.6",
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"abstract": "Open-source vector similarity search for Postgres"
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}
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},
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2
Makefile
2
Makefile
@@ -1,5 +1,5 @@
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EXTENSION = vector
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EXTVERSION = 0.1.4
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EXTVERSION = 0.1.6
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MODULE_big = vector
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DATA = $(wildcard sql/*--*.sql)
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10
README.md
10
README.md
@@ -17,7 +17,7 @@ Supports L2 distance, inner product, and cosine distance
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Compile and install the extension (supports Postgres 9.6+)
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```sh
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git clone --branch v0.1.4 https://github.com/ankane/pgvector.git
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git clone --branch v0.1.6 https://github.com/ankane/pgvector.git
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cd pgvector
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make
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make install # may need sudo
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@@ -137,6 +137,7 @@ vector_norm(vector) | Euclidean norm
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Libraries that use pgvector:
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- [Neighbor](https://github.com/ankane/neighbor) (Ruby)
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- [pgvector.rs](https://github.com/ankane/pgvector.rs) (Rust)
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## Additional Installation Methods
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@@ -153,7 +154,7 @@ This adds pgvector to the [Postgres image](https://hub.docker.com/_/postgres).
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You can also build the image manually
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```sh
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git clone --branch v0.1.4 https://github.com/ankane/pgvector.git
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git clone --branch v0.1.6 https://github.com/ankane/pgvector.git
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cd pgvector
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docker build -t pgvector .
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```
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@@ -181,10 +182,11 @@ Some Postgres providers only support specific extensions. To request a new exten
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- Amazon RDS - follow the instructions on [this page](https://aws.amazon.com/rds/postgresql/faqs/)
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- Google Cloud SQL - follow the instructions on [this page](https://cloud.google.com/sql/docs/postgres/extensions#requesting-support-for-a-new-extension)
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- DigitalOcean Managed Databases - follow the instructions on [this page](https://docs.digitalocean.com/products/databases/postgresql/resources/supported-extensions/#supported-extensions)
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- Azure Database for PostgreSQL - follow the instructions on [this page](https://docs.microsoft.com/en-us/azure/postgresql/concepts-extensions#next-steps)
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## Upgrading
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Compile and install the latest version and run:
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Install the latest version and run:
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```sql
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ALTER EXTENSION vector UPDATE;
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@@ -232,7 +234,7 @@ make prove_installcheck # TAP tests
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To run single tests:
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```sh
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make installcheck REGRESS=vector # regression test
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make installcheck REGRESS=functions # regression test
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make prove_installcheck PROVE_TESTS=test/t/001_wal.pl # TAP test
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```
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2
sql/vector--0.1.4--0.1.5.sql
Normal file
2
sql/vector--0.1.4--0.1.5.sql
Normal file
@@ -0,0 +1,2 @@
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-- complain if script is sourced in psql, rather than via CREATE EXTENSION
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\echo Use "ALTER EXTENSION vector UPDATE TO '0.1.5'" to load this file. \quit
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2
sql/vector--0.1.5--0.1.6.sql
Normal file
2
sql/vector--0.1.5--0.1.6.sql
Normal file
@@ -0,0 +1,2 @@
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-- complain if script is sourced in psql, rather than via CREATE EXTENSION
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\echo Use "ALTER EXTENSION vector UPDATE TO '0.1.6'" to load this file. \quit
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@@ -241,6 +241,8 @@ InsertTuples(Relation index, IvfflatBuildState * buildstate, ForkNumber forkNum)
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if (PageAddItem(page, (Item) itup, itemsz, InvalidOffsetNumber, false, false) == InvalidOffsetNumber)
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elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
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pfree(itup);
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buildstate->indtuples += 1;
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GetNextTuple(buildstate->sortstate, tupdesc, slot, &itup, &list);
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@@ -1,5 +1,7 @@
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#include "postgres.h"
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#include <float.h>
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#include "access/amapi.h"
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#include "commands/vacuum.h"
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#include "ivfflat.h"
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@@ -44,18 +46,29 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
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int lists;
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double ratio;
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Relation indexRel;
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#if PG_VERSION_NUM < 120000
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List *qinfos;
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qinfos = deconstruct_indexquals(path);
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#endif
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/* Never use index without order */
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if (path->indexorderbys == NULL)
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{
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*indexStartupCost = DBL_MAX;
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*indexTotalCost = DBL_MAX;
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*indexSelectivity = 0;
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*indexCorrelation = 0;
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#if PG_VERSION_NUM >= 100000
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*indexPages = 0;
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#endif
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return;
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}
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MemSet(&costs, 0, sizeof(costs));
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#if PG_VERSION_NUM >= 120000
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genericcostestimate(root, path, loop_count, &costs);
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#else
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qinfos = deconstruct_indexquals(path);
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genericcostestimate(root, path, loop_count, qinfos, &costs);
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#endif
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@@ -251,6 +251,10 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
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{
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Datum value;
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/* Safety check */
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if (scan->orderByData == NULL)
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elog(ERROR, "cannot scan ivfflat index without order");
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/* No items will match if null */
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if (scan->orderByData->sk_flags & SK_ISNULL)
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return false;
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@@ -244,14 +244,20 @@ vector_recv(PG_FUNCTION_ARGS)
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int32 typmod = PG_GETARG_INT32(2);
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Vector *result;
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int16 dim;
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int16 unused;
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int i;
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dim = pq_getmsgint(buf, sizeof(int16));
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pq_getmsgint(buf, sizeof(int16)); /* unused */
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unused = pq_getmsgint(buf, sizeof(int16));
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CheckDim(dim);
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CheckExpectedDim(typmod, dim);
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if (unused != 0)
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ereport(ERROR,
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(errcode(ERRCODE_DATA_EXCEPTION),
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errmsg("expected unused to be 0, not %d", unused)));
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result = InitVector(dim);
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for (i = 0; i < dim; i++)
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result->x[i] = pq_getmsgfloat4(buf);
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@@ -28,3 +28,5 @@ SELECT '{-Infinity}'::real[]::vector;
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ERROR: infinite value not allowed in vector
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SELECT '{}'::real[]::vector;
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ERROR: vector must have at least 1 dimension
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SELECT array_agg(n)::vector FROM generate_series(1, 1025) n;
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ERROR: vector cannot have more than 1024 dimensions
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@@ -19,4 +19,10 @@ SELECT * FROM t ORDER BY val <-> (SELECT NULL::vector);
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-----
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(0 rows)
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SELECT COUNT(*) FROM t;
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count
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-------
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5
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(1 row)
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DROP TABLE t;
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@@ -9,3 +9,4 @@ SELECT '{NaN}'::real[]::vector;
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SELECT '{Infinity}'::real[]::vector;
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SELECT '{-Infinity}'::real[]::vector;
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SELECT '{}'::real[]::vector;
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SELECT array_agg(n)::vector FROM generate_series(1, 1025) n;
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@@ -10,5 +10,6 @@ INSERT INTO t (val) VALUES ('[1,2,4]');
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SELECT * FROM t ORDER BY val <-> '[3,3,3]';
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SELECT * FROM t ORDER BY val <-> (SELECT NULL::vector);
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SELECT COUNT(*) FROM t;
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DROP TABLE t;
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@@ -1,4 +1,4 @@
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comment = 'vector data type and ivfflat access method'
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default_version = '0.1.4'
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default_version = '0.1.6'
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module_pathname = '$libdir/vector'
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relocatable = true
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