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3 Commits

Author SHA1 Message Date
Andrew Kane
56dedd060c Improved test for angular distance [skip ci] 2023-09-01 19:58:50 -07:00
Andrew Kane
85b4db5db4 Added another test for angular distance [skip ci] 2023-09-01 19:58:16 -07:00
Andrew Kane
1a0b9d81ce Added angular_distance function 2023-09-01 19:45:59 -07:00
27 changed files with 449 additions and 490 deletions

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@@ -1,7 +1,6 @@
## 0.5.1 (2023-10-10) ## 0.5.1 (unreleased)
- Improved performance of HNSW index builds - Added `angular_distance` function
- Added check for MVCC-compliant snapshot for index scans
## 0.5.0 (2023-08-28) ## 0.5.0 (2023-08-28)

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@@ -2,7 +2,7 @@
"name": "vector", "name": "vector",
"abstract": "Open-source vector similarity search for Postgres", "abstract": "Open-source vector similarity search for Postgres",
"description": "Supports L2 distance, inner product, and cosine distance", "description": "Supports L2 distance, inner product, and cosine distance",
"version": "0.5.1", "version": "0.5.0",
"maintainer": [ "maintainer": [
"Andrew Kane <andrew@ankane.org>" "Andrew Kane <andrew@ankane.org>"
], ],
@@ -20,7 +20,7 @@
"vector": { "vector": {
"file": "sql/vector.sql", "file": "sql/vector.sql",
"docfile": "README.md", "docfile": "README.md",
"version": "0.5.1", "version": "0.5.0",
"abstract": "Open-source vector similarity search for Postgres" "abstract": "Open-source vector similarity search for Postgres"
} }
}, },

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@@ -1,5 +1,5 @@
EXTENSION = vector EXTENSION = vector
EXTVERSION = 0.5.1 EXTVERSION = 0.5.0
MODULE_big = vector MODULE_big = vector
DATA = $(wildcard sql/*--*.sql) DATA = $(wildcard sql/*--*.sql)
@@ -8,7 +8,7 @@ HEADERS = src/vector.h
TESTS = $(wildcard test/sql/*.sql) TESTS = $(wildcard test/sql/*.sql)
REGRESS = $(patsubst test/sql/%.sql,%,$(TESTS)) REGRESS = $(patsubst test/sql/%.sql,%,$(TESTS))
REGRESS_OPTS = --inputdir=test --load-extension=$(EXTENSION) REGRESS_OPTS = --inputdir=test --load-extension=vector
OPTFLAGS = -march=native OPTFLAGS = -march=native

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@@ -1,11 +1,11 @@
EXTENSION = vector EXTENSION = vector
EXTVERSION = 0.5.1 EXTVERSION = 0.5.0
OBJS = src\hnsw.obj src\hnswbuild.obj src\hnswinsert.obj src\hnswscan.obj src\hnswutils.obj src\hnswvacuum.obj src\ivfbuild.obj src\ivfflat.obj src\ivfinsert.obj src\ivfkmeans.obj src\ivfscan.obj src\ivfutils.obj src\ivfvacuum.obj src\vector.obj OBJS = src\hnsw.obj src\hnswbuild.obj src\hnswinsert.obj src\hnswscan.obj src\hnswutils.obj src\hnswvacuum.obj src\ivfbuild.obj src\ivfflat.obj src\ivfinsert.obj src\ivfkmeans.obj src\ivfscan.obj src\ivfutils.obj src\ivfvacuum.obj src\vector.obj
HEADERS = src\vector.h HEADERS = src\vector.h
REGRESS = btree cast copy functions input ivfflat_cosine ivfflat_ip ivfflat_l2 ivfflat_options ivfflat_unlogged REGRESS = btree cast copy functions input ivfflat_cosine ivfflat_ip ivfflat_l2 ivfflat_options ivfflat_unlogged
REGRESS_OPTS = --inputdir=test --load-extension=$(EXTENSION) REGRESS_OPTS = --inputdir=test --load-extension=vector
# For /arch flags # For /arch flags
# https://learn.microsoft.com/en-us/cpp/build/reference/arch-minimum-cpu-architecture # https://learn.microsoft.com/en-us/cpp/build/reference/arch-minimum-cpu-architecture

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@@ -18,7 +18,7 @@ Compile and install the extension (supports Postgres 11+)
```sh ```sh
cd /tmp cd /tmp
git clone --branch v0.5.1 https://github.com/pgvector/pgvector.git git clone --branch v0.5.0 https://github.com/pgvector/pgvector.git
cd pgvector cd pgvector
make make
make install # may need sudo make install # may need sudo
@@ -509,7 +509,7 @@ Then use `nmake` to build:
```cmd ```cmd
set "PGROOT=C:\Program Files\PostgreSQL\15" set "PGROOT=C:\Program Files\PostgreSQL\15"
git clone --branch v0.5.1 https://github.com/pgvector/pgvector.git git clone --branch v0.5.0 https://github.com/pgvector/pgvector.git
cd pgvector cd pgvector
nmake /F Makefile.win nmake /F Makefile.win
nmake /F Makefile.win install nmake /F Makefile.win install
@@ -530,7 +530,7 @@ This adds pgvector to the [Postgres image](https://hub.docker.com/_/postgres) (r
You can also build the image manually: You can also build the image manually:
```sh ```sh
git clone --branch v0.5.1 https://github.com/pgvector/pgvector.git git clone --branch v0.5.0 https://github.com/pgvector/pgvector.git
cd pgvector cd pgvector
docker build --build-arg PG_MAJOR=15 -t myuser/pgvector . docker build --build-arg PG_MAJOR=15 -t myuser/pgvector .
``` ```
@@ -595,18 +595,12 @@ pgvector is available on [these providers](https://github.com/pgvector/pgvector/
## Upgrading ## Upgrading
Install the latest version. Then in each database you want to upgrade, run: Install the latest version and run:
```sql ```sql
ALTER EXTENSION vector UPDATE; ALTER EXTENSION vector UPDATE;
``` ```
You can check the version in the current database with:
```sql
SELECT extversion FROM pg_extension WHERE extname = 'vector';
```
## Upgrade Notes ## Upgrade Notes
### 0.4.0 ### 0.4.0

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@@ -1,2 +1,5 @@
-- complain if script is sourced in psql, rather than via CREATE EXTENSION -- complain if script is sourced in psql, rather than via CREATE EXTENSION
\echo Use "ALTER EXTENSION vector UPDATE TO '0.5.1'" to load this file. \quit \echo Use "ALTER EXTENSION vector UPDATE TO '0.5.1'" to load this file. \quit
CREATE FUNCTION angular_distance(vector, vector) RETURNS float8
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;

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@@ -87,6 +87,9 @@ CREATE FUNCTION vector_l2_squared_distance(vector, vector) RETURNS float8
CREATE FUNCTION vector_negative_inner_product(vector, vector) RETURNS float8 CREATE FUNCTION vector_negative_inner_product(vector, vector) RETURNS float8
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE; AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION angular_distance(vector, vector) RETURNS float8
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
CREATE FUNCTION vector_spherical_distance(vector, vector) RETURNS float8 CREATE FUNCTION vector_spherical_distance(vector, vector) RETURNS float8
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE; AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;

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@@ -91,7 +91,7 @@ hnswcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
MemSet(&costs, 0, sizeof(costs)); MemSet(&costs, 0, sizeof(costs));
index = index_open(path->indexinfo->indexoid, NoLock); index = index_open(path->indexinfo->indexoid, NoLock);
HnswGetMetaPageInfo(index, &m, NULL); m = HnswGetM(index);
index_close(index, NoLock); index_close(index, NoLock);
/* Approximate entry level */ /* Approximate entry level */
@@ -196,7 +196,7 @@ hnswhandler(PG_FUNCTION_ARGS)
amroutine->aminsert = hnswinsert; amroutine->aminsert = hnswinsert;
amroutine->ambulkdelete = hnswbulkdelete; amroutine->ambulkdelete = hnswbulkdelete;
amroutine->amvacuumcleanup = hnswvacuumcleanup; amroutine->amvacuumcleanup = hnswvacuumcleanup;
amroutine->amcanreturn = NULL; amroutine->amcanreturn = NULL; /* tuple not included in heapsort */
amroutine->amcostestimate = hnswcostestimate; amroutine->amcostestimate = hnswcostestimate;
amroutine->amoptions = hnswoptions; amroutine->amoptions = hnswoptions;
amroutine->amproperty = NULL; /* TODO AMPROP_DISTANCE_ORDERABLE */ amroutine->amproperty = NULL; /* TODO AMPROP_DISTANCE_ORDERABLE */

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@@ -57,8 +57,6 @@
/* PROGRESS_CREATEIDX_SUBPHASE_INITIALIZE is 1 */ /* PROGRESS_CREATEIDX_SUBPHASE_INITIALIZE is 1 */
#define PROGRESS_HNSW_PHASE_LOAD 2 #define PROGRESS_HNSW_PHASE_LOAD 2
#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(_dim) MAXALIGN(offsetof(HnswElementTupleData, vec) + VECTOR_SIZE(_dim))
#define HNSW_NEIGHBOR_TUPLE_SIZE(level, m) MAXALIGN(offsetof(HnswNeighborTupleData, indextids) + ((level) + 2) * (m) * sizeof(ItemPointerData)) #define HNSW_NEIGHBOR_TUPLE_SIZE(level, m) MAXALIGN(offsetof(HnswNeighborTupleData, indextids) + ((level) + 2) * (m) * sizeof(ItemPointerData))
@@ -112,13 +110,11 @@ typedef struct HnswCandidate
{ {
HnswElement element; HnswElement element;
float distance; float distance;
bool closer;
} HnswCandidate; } HnswCandidate;
typedef struct HnswNeighborArray typedef struct HnswNeighborArray
{ {
int length; int length;
bool closerSet;
HnswCandidate *items; HnswCandidate *items;
} HnswNeighborArray; } HnswNeighborArray;
@@ -222,6 +218,7 @@ typedef HnswNeighborTupleData * HnswNeighborTuple;
typedef struct HnswScanOpaqueData typedef struct HnswScanOpaqueData
{ {
bool first; bool first;
Buffer buf;
List *w; List *w;
MemoryContext tmpCtx; MemoryContext tmpCtx;
@@ -262,16 +259,15 @@ typedef struct HnswVacuumState
/* Methods */ /* Methods */
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 rel, uint16 procnum);
bool HnswNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result); bool HnswNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result);
void HnswCommitBuffer(Buffer buf, GenericXLogState *state); void HnswCommitBuffer(Buffer buf, GenericXLogState *state);
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 HnswInitRegisterPage(Relation index, Buffer *buf, Page *page, GenericXLogState **state); void HnswInitRegisterPage(Relation index, Buffer *buf, Page *page, GenericXLogState **state);
void HnswInit(void); void HnswInit(void);
List *HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, int m, bool inserting, HnswElement skipElement); List *HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, bool inserting, HnswElement skipElement);
HnswElement HnswGetEntryPoint(Relation index); HnswElement HnswGetEntryPoint(Relation index);
void HnswGetMetaPageInfo(Relation index, int *m, HnswElement * entryPoint);
HnswElement HnswInitElement(ItemPointer tid, int m, double ml, int maxLevel); HnswElement HnswInitElement(ItemPointer tid, int m, double ml, int maxLevel);
void HnswFreeElement(HnswElement element); void HnswFreeElement(HnswElement element);
HnswElement HnswInitElementFromBlock(BlockNumber blkno, OffsetNumber offno); HnswElement HnswInitElementFromBlock(BlockNumber blkno, OffsetNumber offno);
@@ -288,7 +284,7 @@ void HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool
void HnswLoadElement(HnswElement element, float *distance, Datum *q, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec); void HnswLoadElement(HnswElement element, float *distance, Datum *q, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec);
void HnswSetElementTuple(HnswElementTuple etup, HnswElement element); void HnswSetElementTuple(HnswElementTuple etup, HnswElement element);
void HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int *updateIdx, Relation index, FmgrInfo *procinfo, Oid collation); void HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int *updateIdx, Relation index, FmgrInfo *procinfo, Oid collation);
void HnswLoadNeighbors(HnswElement element, Relation index, int m); void HnswLoadNeighbors(HnswElement element, Relation index);
/* Index access methods */ /* Index access methods */
IndexBuildResult *hnswbuild(Relation heap, Relation index, IndexInfo *indexInfo); IndexBuildResult *hnswbuild(Relation heap, Relation index, IndexInfo *indexInfo);

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@@ -81,6 +81,7 @@ HnswBuildAppendPage(Relation index, Buffer *buf, Page *page, GenericXLogState **
HnswPageGetOpaque(*page)->nextblkno = BufferGetBlockNumber(newbuf); HnswPageGetOpaque(*page)->nextblkno = BufferGetBlockNumber(newbuf);
/* Commit */ /* Commit */
MarkBufferDirty(*buf);
GenericXLogFinish(*state); GenericXLogFinish(*state);
UnlockReleaseBuffer(*buf); UnlockReleaseBuffer(*buf);
@@ -117,12 +118,12 @@ CreateElementPages(HnswBuildState * buildstate)
ListCell *lc; ListCell *lc;
/* Calculate sizes */ /* Calculate sizes */
maxSize = HNSW_MAX_SIZE; maxSize = BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(HnswPageOpaqueData));
etupSize = HNSW_ELEMENT_TUPLE_SIZE(dimensions); etupSize = HNSW_ELEMENT_TUPLE_SIZE(dimensions);
/* Allocate once */ /* Allocate once */
etup = palloc0(etupSize); etup = palloc0(etupSize);
ntup = palloc0(BLCKSZ); ntup = palloc0(maxSize);
/* Prepare first page */ /* Prepare first page */
buf = HnswNewBuffer(index, forkNum); buf = HnswNewBuffer(index, forkNum);
@@ -178,6 +179,7 @@ CreateElementPages(HnswBuildState * buildstate)
insertPage = BufferGetBlockNumber(buf); insertPage = BufferGetBlockNumber(buf);
/* Commit */ /* Commit */
MarkBufferDirty(buf);
GenericXLogFinish(state); GenericXLogFinish(state);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
@@ -225,6 +227,7 @@ CreateNeighborPages(HnswBuildState * buildstate)
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index)); elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
/* Commit */ /* Commit */
MarkBufferDirty(buf);
GenericXLogFinish(state); GenericXLogFinish(state);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
} }

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@@ -135,7 +135,7 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
etupSize = HNSW_ELEMENT_TUPLE_SIZE(dimensions); etupSize = HNSW_ELEMENT_TUPLE_SIZE(dimensions);
ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(e->level, m); ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(e->level, m);
combinedSize = etupSize + ntupSize + sizeof(ItemIdData); combinedSize = etupSize + ntupSize + sizeof(ItemIdData);
maxSize = HNSW_MAX_SIZE; maxSize = BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(HnswPageOpaqueData));
minCombinedSize = etupSize + HNSW_NEIGHBOR_TUPLE_SIZE(0, m) + sizeof(ItemIdData); minCombinedSize = etupSize + HNSW_NEIGHBOR_TUPLE_SIZE(0, m) + sizeof(ItemIdData);
/* Prepare element tuple */ /* Prepare element tuple */
@@ -202,6 +202,8 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
HnswInsertAppendPage(index, &newbuf, &newpage, state, page); HnswInsertAppendPage(index, &newbuf, &newpage, state, page);
/* Commit */ /* Commit */
MarkBufferDirty(newbuf);
MarkBufferDirty(buf);
GenericXLogFinish(state); GenericXLogFinish(state);
/* Unlock previous buffer */ /* Unlock previous buffer */
@@ -268,6 +270,9 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
} }
/* Commit */ /* Commit */
MarkBufferDirty(buf);
if (nbuf != buf)
MarkBufferDirty(nbuf);
GenericXLogFinish(state); GenericXLogFinish(state);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
if (nbuf != buf) if (nbuf != buf)
@@ -324,7 +329,7 @@ HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswE
/* Get latest neighbors since they may have changed */ /* Get latest neighbors since they may have changed */
/* Do not lock yet since selecting neighbors can take time */ /* Do not lock yet since selecting neighbors can take time */
HnswLoadNeighbors(hc->element, index, m); HnswLoadNeighbors(hc->element, index);
/* /*
* Could improve performance for vacuuming by checking neighbors * Could improve performance for vacuuming by checking neighbors
@@ -386,6 +391,7 @@ HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswE
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index)); elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
/* Commit */ /* Commit */
MarkBufferDirty(buf);
GenericXLogFinish(state); GenericXLogFinish(state);
} }
else else
@@ -439,6 +445,7 @@ HnswAddDuplicate(Relation index, HnswElement element, HnswElement dup)
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index)); elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
/* Commit */ /* Commit */
MarkBufferDirty(buf);
GenericXLogFinish(state); GenericXLogFinish(state);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
@@ -485,8 +492,9 @@ HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_ti
FmgrInfo *normprocinfo; FmgrInfo *normprocinfo;
HnswElement entryPoint; HnswElement entryPoint;
HnswElement element; HnswElement element;
int m; int m = HnswGetM(index);
int efConstruction = HnswGetEfConstruction(index); int efConstruction = HnswGetEfConstruction(index);
double ml = HnswGetMl(m);
FmgrInfo *procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC); FmgrInfo *procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
Oid collation = index->rd_indcollation[0]; Oid collation = index->rd_indcollation[0];
HnswElement dup; HnswElement dup;
@@ -503,6 +511,10 @@ HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_ti
return false; return false;
} }
/* Create an element */
element = HnswInitElement(heap_tid, m, ml, HnswGetMaxLevel(m));
element->vec = DatumGetVector(value);
/* /*
* Get a shared lock. This allows vacuum to ensure no in-flight inserts * Get a shared lock. This allows vacuum to ensure no in-flight inserts
* before repairing graph. Use a page lock so it does not interfere with * before repairing graph. Use a page lock so it does not interfere with
@@ -510,12 +522,8 @@ HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_ti
*/ */
LockPage(index, HNSW_UPDATE_LOCK, lockmode); LockPage(index, HNSW_UPDATE_LOCK, lockmode);
/* Get m and entry point */ /* Get entry point */
HnswGetMetaPageInfo(index, &m, &entryPoint); entryPoint = HnswGetEntryPoint(index);
/* Create an element */
element = HnswInitElement(heap_tid, m, HnswGetMl(m), HnswGetMaxLevel(m));
element->vec = DatumGetVector(value);
/* Prevent concurrent inserts when likely updating entry point */ /* Prevent concurrent inserts when likely updating entry point */
if (entryPoint == NULL || element->level > entryPoint->level) if (entryPoint == NULL || element->level > entryPoint->level)

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@@ -19,11 +19,7 @@ GetScanItems(IndexScanDesc scan, Datum q)
Oid collation = so->collation; Oid collation = so->collation;
List *ep; List *ep;
List *w; List *w;
int m; HnswElement entryPoint = HnswGetEntryPoint(index);
HnswElement entryPoint;
/* Get m and entry point */
HnswGetMetaPageInfo(index, &m, &entryPoint);
if (entryPoint == NULL) if (entryPoint == NULL)
return NIL; return NIL;
@@ -32,11 +28,11 @@ GetScanItems(IndexScanDesc scan, Datum q)
for (int lc = entryPoint->level; lc >= 1; lc--) for (int lc = entryPoint->level; lc >= 1; lc--)
{ {
w = HnswSearchLayer(q, ep, 1, lc, index, procinfo, collation, m, false, NULL); w = HnswSearchLayer(q, ep, 1, lc, index, procinfo, collation, false, NULL);
ep = w; ep = w;
} }
return HnswSearchLayer(q, ep, hnsw_ef_search, 0, index, procinfo, collation, m, false, NULL); return HnswSearchLayer(q, ep, hnsw_ef_search, 0, index, procinfo, collation, false, NULL);
} }
/* /*
@@ -62,33 +58,6 @@ GetDimensions(Relation index)
return dimensions; return dimensions;
} }
/*
* Get scan value
*/
static Datum
GetScanValue(IndexScanDesc scan)
{
HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
Datum value;
if (scan->orderByData->sk_flags & SK_ISNULL)
value = PointerGetDatum(InitVector(GetDimensions(scan->indexRelation)));
else
{
value = scan->orderByData->sk_argument;
/* Value should not be compressed or toasted */
Assert(!VARATT_IS_COMPRESSED(DatumGetPointer(value)));
Assert(!VARATT_IS_EXTENDED(DatumGetPointer(value)));
/* Fine if normalization fails */
if (so->normprocinfo != NULL)
HnswNormValue(so->normprocinfo, so->collation, &value, NULL);
}
return value;
}
/* /*
* Prepare for an index scan * Prepare for an index scan
*/ */
@@ -101,6 +70,7 @@ hnswbeginscan(Relation index, int nkeys, int norderbys)
scan = RelationGetIndexScan(index, nkeys, norderbys); scan = RelationGetIndexScan(index, nkeys, norderbys);
so = (HnswScanOpaque) palloc(sizeof(HnswScanOpaqueData)); so = (HnswScanOpaque) palloc(sizeof(HnswScanOpaqueData));
so->buf = InvalidBuffer;
so->first = true; so->first = true;
so->tmpCtx = AllocSetContextCreate(CurrentMemoryContext, so->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
"Hnsw scan temporary context", "Hnsw scan temporary context",
@@ -160,13 +130,20 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
if (scan->orderByData == NULL) if (scan->orderByData == NULL)
elog(ERROR, "cannot scan hnsw index without order"); elog(ERROR, "cannot scan hnsw index without order");
/* Requires MVCC-compliant snapshot as not able to maintain a pin */ if (scan->orderByData->sk_flags & SK_ISNULL)
/* https://www.postgresql.org/docs/current/index-locking.html */ value = PointerGetDatum(InitVector(GetDimensions(scan->indexRelation)));
if (!IsMVCCSnapshot(scan->xs_snapshot)) else
elog(ERROR, "non-MVCC snapshots are not supported with hnsw"); {
value = scan->orderByData->sk_argument;
/* Get scan value */ /* Value should not be compressed or toasted */
value = GetScanValue(scan); Assert(!VARATT_IS_COMPRESSED(DatumGetPointer(value)));
Assert(!VARATT_IS_EXTENDED(DatumGetPointer(value)));
/* Fine if normalization fails */
if (so->normprocinfo != NULL)
HnswNormValue(so->normprocinfo, so->collation, &value, NULL);
}
/* /*
* Get a shared lock. This allows vacuum to ensure no in-flight scans * Get a shared lock. This allows vacuum to ensure no in-flight scans
@@ -185,27 +162,41 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
while (list_length(so->w) > 0) while (list_length(so->w) > 0)
{ {
HnswCandidate *hc = llast(so->w); HnswCandidate *hc = llast(so->w);
ItemPointer heaptid; ItemPointer tid;
BlockNumber indexblkno;
/* Move to next element if no valid heap TIDs */ /* Move to next element if no valid heap tids */
if (list_length(hc->element->heaptids) == 0) if (list_length(hc->element->heaptids) == 0)
{ {
so->w = list_delete_last(so->w); so->w = list_delete_last(so->w);
continue; continue;
} }
heaptid = llast(hc->element->heaptids); tid = llast(hc->element->heaptids);
indexblkno = hc->element->blkno;
hc->element->heaptids = list_delete_last(hc->element->heaptids); hc->element->heaptids = list_delete_last(hc->element->heaptids);
MemoryContextSwitchTo(oldCtx); MemoryContextSwitchTo(oldCtx);
#if PG_VERSION_NUM >= 120000 #if PG_VERSION_NUM >= 120000
scan->xs_heaptid = *heaptid; scan->xs_heaptid = *tid;
#else #else
scan->xs_ctup.t_self = *heaptid; scan->xs_ctup.t_self = *tid;
#endif #endif
/* Unpin buffer */
if (BufferIsValid(so->buf))
ReleaseBuffer(so->buf);
/*
* An index scan must maintain a pin on the index page holding the
* item last returned by amgettuple
*
* https://www.postgresql.org/docs/current/index-locking.html
*/
so->buf = ReadBuffer(scan->indexRelation, indexblkno);
scan->xs_recheckorderby = false; scan->xs_recheckorderby = false;
return true; return true;
} }
@@ -222,6 +213,10 @@ hnswendscan(IndexScanDesc scan)
{ {
HnswScanOpaque so = (HnswScanOpaque) scan->opaque; HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
/* Release pin */
if (BufferIsValid(so->buf))
ReleaseBuffer(so->buf);
MemoryContextDelete(so->tmpCtx); MemoryContextDelete(so->tmpCtx);
pfree(so); pfree(so);

View File

@@ -38,12 +38,12 @@ HnswGetEfConstruction(Relation index)
* Get proc * Get proc
*/ */
FmgrInfo * FmgrInfo *
HnswOptionalProcInfo(Relation index, uint16 procnum) HnswOptionalProcInfo(Relation rel, uint16 procnum)
{ {
if (!OidIsValid(index_getprocid(index, 1, procnum))) if (!OidIsValid(index_getprocid(rel, 1, procnum)))
return NULL; return NULL;
return index_getprocinfo(index, 1, procnum); return index_getprocinfo(rel, 1, procnum);
} }
/* /*
@@ -117,6 +117,7 @@ HnswInitRegisterPage(Relation index, Buffer *buf, Page *page, GenericXLogState *
void void
HnswCommitBuffer(Buffer buf, GenericXLogState *state) HnswCommitBuffer(Buffer buf, GenericXLogState *state)
{ {
MarkBufferDirty(buf);
GenericXLogFinish(state); GenericXLogFinish(state);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
} }
@@ -139,21 +140,9 @@ HnswInitNeighbors(HnswElement element, int m)
a = &element->neighbors[lc]; a = &element->neighbors[lc];
a->length = 0; a->length = 0;
a->items = palloc(sizeof(HnswCandidate) * lm); a->items = palloc(sizeof(HnswCandidate) * lm);
a->closerSet = false;
} }
} }
/*
* Free neighbors
*/
static void
HnswFreeNeighbors(HnswElement element)
{
for (int lc = 0; lc <= element->level; lc++)
pfree(element->neighbors[lc].items);
pfree(element->neighbors);
}
/* /*
* Allocate an element * Allocate an element
*/ */
@@ -185,8 +174,10 @@ HnswInitElement(ItemPointer heaptid, int m, double ml, int maxLevel)
void void
HnswFreeElement(HnswElement element) HnswFreeElement(HnswElement element)
{ {
HnswFreeNeighbors(element);
list_free_deep(element->heaptids); list_free_deep(element->heaptids);
for (int lc = 0; lc <= element->level; lc++)
pfree(element->neighbors[lc].items);
pfree(element->neighbors);
pfree(element->vec); pfree(element->vec);
pfree(element); pfree(element);
} }
@@ -219,43 +210,25 @@ HnswInitElementFromBlock(BlockNumber blkno, OffsetNumber offno)
} }
/* /*
* Get the metapage info * Get the entry point
*/ */
void HnswElement
HnswGetMetaPageInfo(Relation index, int *m, HnswElement * entryPoint) HnswGetEntryPoint(Relation index)
{ {
Buffer buf; Buffer buf;
Page page; Page page;
HnswMetaPage metap; HnswMetaPage metap;
HnswElement entryPoint = NULL;
buf = ReadBuffer(index, HNSW_METAPAGE_BLKNO); buf = ReadBuffer(index, HNSW_METAPAGE_BLKNO);
LockBuffer(buf, BUFFER_LOCK_SHARE); LockBuffer(buf, BUFFER_LOCK_SHARE);
page = BufferGetPage(buf); page = BufferGetPage(buf);
metap = HnswPageGetMeta(page); metap = HnswPageGetMeta(page);
if (m != NULL) if (BlockNumberIsValid(metap->entryBlkno))
*m = metap->m; entryPoint = HnswInitElementFromBlock(metap->entryBlkno, metap->entryOffno);
if (entryPoint != NULL)
{
if (BlockNumberIsValid(metap->entryBlkno))
*entryPoint = HnswInitElementFromBlock(metap->entryBlkno, metap->entryOffno);
else
*entryPoint = NULL;
}
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
}
/*
* Get the entry point
*/
HnswElement
HnswGetEntryPoint(Relation index)
{
HnswElement entryPoint;
HnswGetMetaPageInfo(index, NULL, &entryPoint);
return entryPoint; return entryPoint;
} }
@@ -364,9 +337,10 @@ HnswSetNeighborTuple(HnswNeighborTuple ntup, HnswElement e, int m)
* Load neighbors from page * Load neighbors from page
*/ */
static void static void
LoadNeighborsFromPage(HnswElement element, Relation index, Page page, int m) LoadNeighborsFromPage(HnswElement element, Relation index, Page page)
{ {
HnswNeighborTuple ntup = (HnswNeighborTuple) PageGetItem(page, PageGetItemId(page, element->neighborOffno)); HnswNeighborTuple ntup = (HnswNeighborTuple) PageGetItem(page, PageGetItemId(page, element->neighborOffno));
int m = HnswGetM(index);
int neighborCount = (element->level + 2) * m; int neighborCount = (element->level + 2) * m;
Assert(HnswIsNeighborTuple(ntup)); Assert(HnswIsNeighborTuple(ntup));
@@ -407,7 +381,7 @@ LoadNeighborsFromPage(HnswElement element, Relation index, Page page, int m)
* Load neighbors * Load neighbors
*/ */
void void
HnswLoadNeighbors(HnswElement element, Relation index, int m) HnswLoadNeighbors(HnswElement element, Relation index)
{ {
Buffer buf; Buffer buf;
Page page; Page page;
@@ -416,7 +390,7 @@ HnswLoadNeighbors(HnswElement element, Relation index, int m)
LockBuffer(buf, BUFFER_LOCK_SHARE); LockBuffer(buf, BUFFER_LOCK_SHARE);
page = BufferGetPage(buf); page = BufferGetPage(buf);
LoadNeighborsFromPage(element, index, page, m); LoadNeighborsFromPage(element, index, page);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
} }
@@ -569,7 +543,7 @@ AddToVisited(HTAB *v, HnswCandidate * hc, Relation index, bool *found)
* Algorithm 2 from paper * Algorithm 2 from paper
*/ */
List * List *
HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, int m, bool inserting, HnswElement skipElement) HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, bool inserting, HnswElement skipElement)
{ {
ListCell *lc2; ListCell *lc2;
@@ -624,7 +598,7 @@ HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *pro
break; break;
if (c->element->neighbors == NULL) if (c->element->neighbors == NULL)
HnswLoadNeighbors(c->element, index, m); HnswLoadNeighbors(c->element, index);
/* Get the neighborhood at layer lc */ /* Get the neighborhood at layer lc */
neighborhood = &c->element->neighbors[lc]; neighborhood = &c->element->neighbors[lc];
@@ -693,34 +667,6 @@ HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *pro
return w; return w;
} }
/*
* Compare candidate distances
*/
static int
#if PG_VERSION_NUM >= 130000
CompareCandidateDistances(const ListCell *a, const ListCell *b)
#else
CompareCandidateDistances(const void *a, const void *b)
#endif
{
HnswCandidate *hca = lfirst((ListCell *) a);
HnswCandidate *hcb = lfirst((ListCell *) b);
if (hca->distance < hcb->distance)
return 1;
if (hca->distance > hcb->distance)
return -1;
if (hca->element < hcb->element)
return 1;
if (hca->element > hcb->element)
return -1;
return 0;
}
/* /*
* Calculate the distance between elements * Calculate the distance between elements
*/ */
@@ -777,77 +723,33 @@ CheckElementCloser(HnswCandidate * e, List *r, int lc, FmgrInfo *procinfo, Oid c
* Algorithm 4 from paper * Algorithm 4 from paper
*/ */
static List * static List *
SelectNeighbors(List *c, int m, int lc, FmgrInfo *procinfo, Oid collation, HnswElement e2, HnswCandidate * newCandidate, HnswCandidate * *pruned, bool sortCandidates) SelectNeighbors(List *c, int m, int lc, FmgrInfo *procinfo, Oid collation, HnswCandidate * *pruned)
{ {
List *r = NIL; List *r = NIL;
List *w = list_copy(c); List *w = list_copy(c);
pairingheap *wd; pairingheap *wd;
bool mustCalculate = !e2->neighbors[lc].closerSet;
List *added = NIL;
bool removedAny = false;
if (list_length(w) <= m) if (list_length(w) <= m)
return w; return w;
wd = pairingheap_allocate(CompareNearestCandidates, NULL); wd = pairingheap_allocate(CompareNearestCandidates, NULL);
/* Ensure order of candidates is deterministic for closer caching */
if (sortCandidates)
list_sort(w, CompareCandidateDistances);
while (list_length(w) > 0 && list_length(r) < m) while (list_length(w) > 0 && list_length(r) < m)
{ {
/* Assumes w is already ordered desc */ /* Assumes w is already ordered desc */
HnswCandidate *e = llast(w); HnswCandidate *e = llast(w);
bool closer;
w = list_delete_last(w); w = list_delete_last(w);
/* Use previous state of r and wd to skip work when possible */ closer = CheckElementCloser(e, r, lc, procinfo, collation);
if (mustCalculate)
e->closer = CheckElementCloser(e, r, lc, procinfo, collation);
else if (list_length(added) > 0)
{
/*
* If the current candidate was closer, we only need to compare it
* with the other candidates that we have added.
*/
if (e->closer)
{
e->closer = CheckElementCloser(e, added, lc, procinfo, collation);
if (!e->closer) if (closer)
removedAny = true;
}
else
{
/*
* If we have removed any candidates from closer, a candidate
* that was not closer earlier might now be.
*/
if (removedAny)
{
e->closer = CheckElementCloser(e, r, lc, procinfo, collation);
if (e->closer)
added = lappend(added, e);
}
}
}
else if (e == newCandidate)
{
e->closer = CheckElementCloser(e, r, lc, procinfo, collation);
if (e->closer)
added = lappend(added, e);
}
if (e->closer)
r = lappend(r, e); r = lappend(r, e);
else else
pairingheap_add(wd, &(CreatePairingHeapNode(e)->ph_node)); pairingheap_add(wd, &(CreatePairingHeapNode(e)->ph_node));
} }
/* Cached value can only be used in future if sorted deterministically */
e2->neighbors[lc].closerSet = sortCandidates;
/* Keep pruned connections */ /* Keep pruned connections */
while (!pairingheap_is_empty(wd) && list_length(r) < m) while (!pairingheap_is_empty(wd) && list_length(r) < m)
r = lappend(r, ((HnswPairingHeapNode *) pairingheap_remove_first(wd))->inner); r = lappend(r, ((HnswPairingHeapNode *) pairingheap_remove_first(wd))->inner);
@@ -901,6 +803,28 @@ AddConnections(HnswElement element, List *neighbors, int m, int lc)
a->items[a->length++] = *((HnswCandidate *) lfirst(lc2)); a->items[a->length++] = *((HnswCandidate *) lfirst(lc2));
} }
/*
* Compare candidate distances
*/
static int
#if PG_VERSION_NUM >= 130000
CompareCandidateDistances(const ListCell *a, const ListCell *b)
#else
CompareCandidateDistances(const void *a, const void *b)
#endif
{
HnswCandidate *hca = lfirst((ListCell *) a);
HnswCandidate *hcb = lfirst((ListCell *) b);
if (hca->distance < hcb->distance)
return 1;
if (hca->distance > hcb->distance)
return -1;
return 0;
}
/* /*
* Update connections * Update connections
*/ */
@@ -954,12 +878,13 @@ HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int
{ {
List *c = NIL; List *c = NIL;
/* Add candidates */ /* Add and sort candidates */
for (int i = 0; i < currentNeighbors->length; i++) for (int i = 0; i < currentNeighbors->length; i++)
c = lappend(c, &currentNeighbors->items[i]); c = lappend(c, &currentNeighbors->items[i]);
c = lappend(c, &hc2); c = lappend(c, &hc2);
list_sort(c, CompareCandidateDistances);
SelectNeighbors(c, m, lc, procinfo, collation, hc->element, &hc2, &pruned, true); SelectNeighbors(c, m, lc, procinfo, collation, &pruned);
/* Should not happen */ /* Should not happen */
if (pruned == NULL) if (pruned == NULL)
@@ -1031,7 +956,7 @@ HnswInsertElement(HnswElement element, HnswElement entryPoint, Relation index, F
/* 1st phase: greedy search to insert level */ /* 1st phase: greedy search to insert level */
for (int lc = entryLevel; lc >= level + 1; lc--) for (int lc = entryLevel; lc >= level + 1; lc--)
{ {
w = HnswSearchLayer(q, ep, 1, lc, index, procinfo, collation, m, true, skipElement); w = HnswSearchLayer(q, ep, 1, lc, index, procinfo, collation, true, skipElement);
ep = w; ep = w;
} }
@@ -1049,7 +974,7 @@ HnswInsertElement(HnswElement element, HnswElement entryPoint, Relation index, F
List *neighbors; List *neighbors;
List *lw; List *lw;
w = HnswSearchLayer(q, ep, efConstruction, lc, index, procinfo, collation, m, true, skipElement); w = HnswSearchLayer(q, ep, efConstruction, lc, index, procinfo, collation, true, skipElement);
/* Elements being deleted or skipped can help with search */ /* Elements being deleted or skipped can help with search */
/* but should be removed before selecting neighbors */ /* but should be removed before selecting neighbors */
@@ -1058,12 +983,7 @@ HnswInsertElement(HnswElement element, HnswElement entryPoint, Relation index, F
else else
lw = w; lw = w;
/* neighbors = SelectNeighbors(lw, lm, lc, procinfo, collation, NULL);
* Candidates are sorted, but not deterministically. Could set
* sortCandidates to true for in-memory builds to enable closer
* caching, but there does not seem to be a difference in performance.
*/
neighbors = SelectNeighbors(lw, lm, lc, procinfo, collation, element, NULL, NULL, false);
AddConnections(element, neighbors, lm, lc); AddConnections(element, neighbors, lm, lc);

View File

@@ -128,7 +128,10 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
blkno = HnswPageGetOpaque(page)->nextblkno; blkno = HnswPageGetOpaque(page)->nextblkno;
if (updated) if (updated)
{
MarkBufferDirty(buf);
GenericXLogFinish(state); GenericXLogFinish(state);
}
else else
GenericXLogAbort(state); GenericXLogAbort(state);
@@ -226,6 +229,7 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswEleme
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index)); elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
/* Commit */ /* Commit */
MarkBufferDirty(buf);
GenericXLogFinish(state); GenericXLogFinish(state);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
@@ -326,10 +330,7 @@ RepairGraph(HnswVacuumState * vacuumstate)
BufferAccessStrategy bas = vacuumstate->bas; BufferAccessStrategy bas = vacuumstate->bas;
BlockNumber blkno = HNSW_HEAD_BLKNO; BlockNumber blkno = HNSW_HEAD_BLKNO;
/* /* Wait for inserts to complete */
* Wait for inserts to complete. Inserts before this point may have
* neighbors about to be deleted. Inserts after this point will not.
*/
LockPage(index, HNSW_UPDATE_LOCK, ExclusiveLock); LockPage(index, HNSW_UPDATE_LOCK, ExclusiveLock);
UnlockPage(index, HNSW_UPDATE_LOCK, ExclusiveLock); UnlockPage(index, HNSW_UPDATE_LOCK, ExclusiveLock);
@@ -442,11 +443,7 @@ MarkDeleted(HnswVacuumState * vacuumstate)
Relation index = vacuumstate->index; Relation index = vacuumstate->index;
BufferAccessStrategy bas = vacuumstate->bas; BufferAccessStrategy bas = vacuumstate->bas;
/* /* Wait for selects to complete */
* Wait for index scans to complete. Scans before this point may contain
* tuples about to be deleted. Scans after this point will not, since the
* graph has been repaired.
*/
LockPage(index, HNSW_SCAN_LOCK, ExclusiveLock); LockPage(index, HNSW_SCAN_LOCK, ExclusiveLock);
UnlockPage(index, HNSW_SCAN_LOCK, ExclusiveLock); UnlockPage(index, HNSW_SCAN_LOCK, ExclusiveLock);
@@ -543,6 +540,9 @@ MarkDeleted(HnswVacuumState * vacuumstate)
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index)); elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
/* Commit */ /* Commit */
MarkBufferDirty(buf);
if (nbuf != buf)
MarkBufferDirty(nbuf);
GenericXLogFinish(state); GenericXLogFinish(state);
if (nbuf != buf) if (nbuf != buf)
UnlockReleaseBuffer(nbuf); UnlockReleaseBuffer(nbuf);
@@ -582,6 +582,7 @@ InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkD
vacuumstate->stats = stats; vacuumstate->stats = stats;
vacuumstate->callback = callback; vacuumstate->callback = callback;
vacuumstate->callback_state = callback_state; vacuumstate->callback_state = callback_state;
vacuumstate->m = HnswGetM(index);
vacuumstate->efConstruction = HnswGetEfConstruction(index); vacuumstate->efConstruction = HnswGetEfConstruction(index);
vacuumstate->bas = GetAccessStrategy(BAS_BULKREAD); vacuumstate->bas = GetAccessStrategy(BAS_BULKREAD);
vacuumstate->procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC); vacuumstate->procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
@@ -591,9 +592,6 @@ InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkD
"Hnsw vacuum temporary context", "Hnsw vacuum temporary context",
ALLOCSET_DEFAULT_SIZES); ALLOCSET_DEFAULT_SIZES);
/* Get m from metapage */
HnswGetMetaPageInfo(index, &vacuumstate->m, NULL);
/* Create hash table */ /* Create hash table */
hash_ctl.keysize = sizeof(ItemPointerData); hash_ctl.keysize = sizeof(ItemPointerData);
hash_ctl.entrysize = sizeof(ItemPointerData); hash_ctl.entrysize = sizeof(ItemPointerData);

View File

@@ -11,7 +11,6 @@
#include "miscadmin.h" #include "miscadmin.h"
#include "storage/bufmgr.h" #include "storage/bufmgr.h"
#include "tcop/tcopprot.h" #include "tcop/tcopprot.h"
#include "utils/datum.h"
#include "utils/memutils.h" #include "utils/memutils.h"
#if PG_VERSION_NUM >= 140000 #if PG_VERSION_NUM >= 140000
@@ -66,18 +65,11 @@
static void static void
AddSample(Datum *values, IvfflatBuildState * buildstate) AddSample(Datum *values, IvfflatBuildState * buildstate)
{ {
MemoryContext oldCtx; VectorArray samples = buildstate->samples;
Datum value; int targsamples = samples->maxlen;
int targsamples = buildstate->targsamples;
/* Use memory context since detoast can allocate */
oldCtx = MemoryContextSwitchTo(buildstate->tmpCtx);
/* Detoast once for all calls */ /* Detoast once for all calls */
value = PointerGetDatum(PG_DETOAST_DATUM(values[0])); Datum value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
/* Restore memory context */
MemoryContextSwitchTo(oldCtx);
/* /*
* Normalize with KMEANS_NORM_PROC since spherical distance function * Normalize with KMEANS_NORM_PROC since spherical distance function
@@ -89,23 +81,18 @@ AddSample(Datum *values, IvfflatBuildState * buildstate)
return; return;
} }
/* Copy datum */ if (samples->length < targsamples)
value = datumCopy(value, false, -1); {
VectorArraySet(samples, samples->length, DatumGetVector(value));
/* Reset memory context */ samples->length++;
MemoryContextReset(buildstate->tmpCtx); }
if (list_length(buildstate->samples) < targsamples)
buildstate->samples = lappend(buildstate->samples, DatumGetVector(value));
else else
{ {
if (buildstate->rowstoskip < 0) if (buildstate->rowstoskip < 0)
buildstate->rowstoskip = reservoir_get_next_S(&buildstate->rstate, list_length(buildstate->samples), targsamples); buildstate->rowstoskip = reservoir_get_next_S(&buildstate->rstate, samples->length, targsamples);
if (buildstate->rowstoskip <= 0) if (buildstate->rowstoskip <= 0)
{ {
ListCell *lc;
#if PG_VERSION_NUM >= 150000 #if PG_VERSION_NUM >= 150000
int k = (int) (targsamples * sampler_random_fract(&buildstate->rstate.randstate)); int k = (int) (targsamples * sampler_random_fract(&buildstate->rstate.randstate));
#else #else
@@ -113,8 +100,7 @@ AddSample(Datum *values, IvfflatBuildState * buildstate)
#endif #endif
Assert(k >= 0 && k < targsamples); Assert(k >= 0 && k < targsamples);
lc = list_nth_cell(buildstate->samples, k); VectorArraySet(samples, k, DatumGetVector(value));
lfirst(lc) = DatumGetVector(value);
} }
buildstate->rowstoskip -= 1; buildstate->rowstoskip -= 1;
@@ -129,13 +115,21 @@ SampleCallback(Relation index, CALLBACK_ITEM_POINTER, Datum *values,
bool *isnull, bool tupleIsAlive, void *state) bool *isnull, bool tupleIsAlive, void *state)
{ {
IvfflatBuildState *buildstate = (IvfflatBuildState *) state; IvfflatBuildState *buildstate = (IvfflatBuildState *) state;
MemoryContext oldCtx;
/* Skip nulls */ /* Skip nulls */
if (isnull[0]) if (isnull[0])
return; return;
/* Use memory context since detoast can allocate */
oldCtx = MemoryContextSwitchTo(buildstate->tmpCtx);
/* Add sample */ /* Add sample */
AddSample(values, buildstate); AddSample(values, state);
/* Reset memory context */
MemoryContextSwitchTo(oldCtx);
MemoryContextReset(buildstate->tmpCtx);
} }
/* /*
@@ -144,7 +138,7 @@ SampleCallback(Relation index, CALLBACK_ITEM_POINTER, Datum *values,
static void static void
SampleRows(IvfflatBuildState * buildstate) SampleRows(IvfflatBuildState * buildstate)
{ {
int targsamples = buildstate->targsamples; int targsamples = buildstate->samples->maxlen;
BlockNumber totalblocks = RelationGetNumberOfBlocks(buildstate->heap); BlockNumber totalblocks = RelationGetNumberOfBlocks(buildstate->heap);
buildstate->rowstoskip = -1; buildstate->rowstoskip = -1;
@@ -455,13 +449,12 @@ ComputeCenters(IvfflatBuildState * buildstate)
/* Sample rows */ /* Sample rows */
/* TODO Ensure within maintenance_work_mem */ /* TODO Ensure within maintenance_work_mem */
buildstate->samples = NIL; buildstate->samples = VectorArrayInit(numSamples, buildstate->dimensions);
buildstate->targsamples = numSamples;
if (buildstate->heap != NULL) if (buildstate->heap != NULL)
{ {
SampleRows(buildstate); SampleRows(buildstate);
if (list_length(buildstate->samples) < buildstate->lists) if (buildstate->samples->length < buildstate->lists)
{ {
ereport(NOTICE, ereport(NOTICE,
(errmsg("ivfflat index created with little data"), (errmsg("ivfflat index created with little data"),
@@ -474,7 +467,7 @@ ComputeCenters(IvfflatBuildState * buildstate)
IvfflatBench("k-means", IvfflatKmeans(buildstate->index, buildstate->samples, buildstate->centers)); IvfflatBench("k-means", IvfflatKmeans(buildstate->index, buildstate->samples, buildstate->centers));
/* Free samples before we allocate more memory */ /* Free samples before we allocate more memory */
list_free_deep(buildstate->samples); VectorArrayFree(buildstate->samples);
} }
/* /*
@@ -513,30 +506,29 @@ CreateListPages(Relation index, VectorArray centers, int dimensions,
Buffer buf; Buffer buf;
Page page; Page page;
GenericXLogState *state; GenericXLogState *state;
Size listSize; OffsetNumber offno;
Size itemsz;
IvfflatList list; IvfflatList list;
listSize = MAXALIGN(IVFFLAT_LIST_SIZE(dimensions)); itemsz = MAXALIGN(IVFFLAT_LIST_SIZE(dimensions));
list = palloc(listSize); list = palloc(itemsz);
buf = IvfflatNewBuffer(index, forkNum); buf = IvfflatNewBuffer(index, forkNum);
IvfflatInitRegisterPage(index, &buf, &page, &state); IvfflatInitRegisterPage(index, &buf, &page, &state);
for (int i = 0; i < lists; i++) for (int i = 0; i < lists; i++)
{ {
OffsetNumber offno;
/* Load list */ /* Load list */
list->startPage = InvalidBlockNumber; list->startPage = InvalidBlockNumber;
list->insertPage = InvalidBlockNumber; list->insertPage = InvalidBlockNumber;
memcpy(&list->center, VectorArrayGet(centers, i), VECTOR_SIZE(dimensions)); memcpy(&list->center, VectorArrayGet(centers, i), VECTOR_SIZE(dimensions));
/* Ensure free space */ /* Ensure free space */
if (PageGetFreeSpace(page) < listSize) if (PageGetFreeSpace(page) < itemsz)
IvfflatAppendPage(index, &buf, &page, &state, forkNum); IvfflatAppendPage(index, &buf, &page, &state, forkNum);
/* Add the item */ /* Add the item */
offno = PageAddItem(page, (Item) list, listSize, InvalidOffsetNumber, false, false); offno = PageAddItem(page, (Item) list, itemsz, InvalidOffsetNumber, false, false);
if (offno == InvalidOffsetNumber) if (offno == InvalidOffsetNumber)
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index)); elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));

View File

@@ -71,7 +71,7 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
int lists; int lists;
double ratio; double ratio;
double spc_seq_page_cost; double spc_seq_page_cost;
Relation index; Relation indexRel;
#if PG_VERSION_NUM < 120000 #if PG_VERSION_NUM < 120000
List *qinfos; List *qinfos;
#endif #endif
@@ -89,9 +89,9 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
MemSet(&costs, 0, sizeof(costs)); MemSet(&costs, 0, sizeof(costs));
index = index_open(path->indexinfo->indexoid, NoLock); indexRel = index_open(path->indexinfo->indexoid, NoLock);
IvfflatGetMetaPageInfo(index, &lists, NULL); lists = IvfflatGetLists(indexRel);
index_close(index, NoLock); index_close(indexRel, NoLock);
/* Get the ratio of lists that we need to visit */ /* Get the ratio of lists that we need to visit */
ratio = ((double) ivfflat_probes) / lists; ratio = ((double) ivfflat_probes) / lists;

View File

@@ -80,10 +80,6 @@
#define RandomInt() random() #define RandomInt() random()
#endif #endif
#if PG_VERSION_NUM < 130000
#define list_sort(list, cmp) list_qsort(list, cmp)
#endif
/* Variables */ /* Variables */
extern int ivfflat_probes; extern int ivfflat_probes;
@@ -182,8 +178,7 @@ typedef struct IvfflatBuildState
Oid collation; Oid collation;
/* Variables */ /* Variables */
List *samples; VectorArray samples;
int targsamples;
VectorArray centers; VectorArray centers;
ListInfo *listInfo; ListInfo *listInfo;
Vector *normvec; Vector *normvec;
@@ -249,8 +244,8 @@ typedef struct IvfflatScanList
typedef struct IvfflatScanOpaqueData typedef struct IvfflatScanOpaqueData
{ {
int probes; int probes;
int dimensions;
bool first; bool first;
Buffer buf;
/* Sorting */ /* Sorting */
Tuplesortstate *sortstate; Tuplesortstate *sortstate;
@@ -279,11 +274,10 @@ typedef IvfflatScanOpaqueData * IvfflatScanOpaque;
VectorArray VectorArrayInit(int maxlen, int dimensions); VectorArray VectorArrayInit(int maxlen, int dimensions);
void VectorArrayFree(VectorArray arr); void VectorArrayFree(VectorArray arr);
void PrintVectorArray(char *msg, VectorArray arr); void PrintVectorArray(char *msg, VectorArray arr);
void IvfflatKmeans(Relation index, List *samples, VectorArray centers); void IvfflatKmeans(Relation index, VectorArray samples, VectorArray centers);
FmgrInfo *IvfflatOptionalProcInfo(Relation index, uint16 procnum); FmgrInfo *IvfflatOptionalProcInfo(Relation rel, uint16 procnum);
bool IvfflatNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result); bool IvfflatNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result);
int IvfflatGetLists(Relation index); int IvfflatGetLists(Relation index);
void IvfflatGetMetaPageInfo(Relation index, int *lists, int *dimensions);
void IvfflatUpdateList(Relation index, ListInfo listInfo, BlockNumber insertPage, BlockNumber originalInsertPage, BlockNumber startPage, ForkNumber forkNum); void IvfflatUpdateList(Relation index, ListInfo listInfo, BlockNumber insertPage, BlockNumber originalInsertPage, BlockNumber startPage, ForkNumber forkNum);
void IvfflatCommitBuffer(Buffer buf, GenericXLogState *state); void IvfflatCommitBuffer(Buffer buf, GenericXLogState *state);
void IvfflatAppendPage(Relation index, Buffer *buf, Page *page, GenericXLogState **state, ForkNumber forkNum); void IvfflatAppendPage(Relation index, Buffer *buf, Page *page, GenericXLogState **state, ForkNumber forkNum);

View File

@@ -11,37 +11,36 @@
* Find the list that minimizes the distance function * Find the list that minimizes the distance function
*/ */
static void static void
FindInsertPage(Relation index, Datum *values, BlockNumber *insertPage, ListInfo * listInfo) FindInsertPage(Relation rel, Datum *values, BlockNumber *insertPage, ListInfo * listInfo)
{ {
Buffer cbuf;
Page cpage;
IvfflatList list;
double distance;
double minDistance = DBL_MAX; double minDistance = DBL_MAX;
BlockNumber nextblkno = IVFFLAT_HEAD_BLKNO; BlockNumber nextblkno = IVFFLAT_HEAD_BLKNO;
FmgrInfo *procinfo; FmgrInfo *procinfo;
Oid collation; Oid collation;
OffsetNumber offno;
OffsetNumber maxoffno;
/* Avoid compiler warning */ /* Avoid compiler warning */
listInfo->blkno = nextblkno; listInfo->blkno = nextblkno;
listInfo->offno = FirstOffsetNumber; listInfo->offno = FirstOffsetNumber;
procinfo = index_getprocinfo(index, 1, IVFFLAT_DISTANCE_PROC); procinfo = index_getprocinfo(rel, 1, IVFFLAT_DISTANCE_PROC);
collation = index->rd_indcollation[0]; collation = rel->rd_indcollation[0];
/* Search all list pages */ /* Search all list pages */
while (BlockNumberIsValid(nextblkno)) while (BlockNumberIsValid(nextblkno))
{ {
Buffer cbuf; cbuf = ReadBuffer(rel, nextblkno);
Page cpage;
OffsetNumber maxoffno;
cbuf = ReadBuffer(index, nextblkno);
LockBuffer(cbuf, BUFFER_LOCK_SHARE); LockBuffer(cbuf, BUFFER_LOCK_SHARE);
cpage = BufferGetPage(cbuf); cpage = BufferGetPage(cbuf);
maxoffno = PageGetMaxOffsetNumber(cpage); maxoffno = PageGetMaxOffsetNumber(cpage);
for (OffsetNumber offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno)) for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
{ {
IvfflatList list;
double distance;
list = (IvfflatList) PageGetItem(cpage, PageGetItemId(cpage, offno)); list = (IvfflatList) PageGetItem(cpage, PageGetItemId(cpage, offno));
distance = DatumGetFloat8(FunctionCall2Coll(procinfo, collation, values[0], PointerGetDatum(&list->center))); distance = DatumGetFloat8(FunctionCall2Coll(procinfo, collation, values[0], PointerGetDatum(&list->center)));
@@ -64,7 +63,7 @@ FindInsertPage(Relation index, Datum *values, BlockNumber *insertPage, ListInfo
* Insert a tuple into the index * Insert a tuple into the index
*/ */
static void static void
InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel) InsertTuple(Relation rel, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel)
{ {
IndexTuple itup; IndexTuple itup;
Datum value; Datum value;
@@ -81,33 +80,33 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, R
value = PointerGetDatum(PG_DETOAST_DATUM(values[0])); value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
/* Normalize if needed */ /* Normalize if needed */
normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC); normprocinfo = IvfflatOptionalProcInfo(rel, IVFFLAT_NORM_PROC);
if (normprocinfo != NULL) if (normprocinfo != NULL)
{ {
if (!IvfflatNormValue(normprocinfo, index->rd_indcollation[0], &value, NULL)) if (!IvfflatNormValue(normprocinfo, rel->rd_indcollation[0], &value, NULL))
return; return;
} }
/* Find the insert page - sets the page and list info */ /* Find the insert page - sets the page and list info */
FindInsertPage(index, values, &insertPage, &listInfo); FindInsertPage(rel, values, &insertPage, &listInfo);
Assert(BlockNumberIsValid(insertPage)); Assert(BlockNumberIsValid(insertPage));
originalInsertPage = insertPage; originalInsertPage = insertPage;
/* Form tuple */ /* Form tuple */
itup = index_form_tuple(RelationGetDescr(index), &value, isnull); itup = index_form_tuple(RelationGetDescr(rel), &value, isnull);
itup->t_tid = *heap_tid; itup->t_tid = *heap_tid;
/* Get tuple size */ /* Get tuple size */
itemsz = MAXALIGN(IndexTupleSize(itup)); itemsz = MAXALIGN(IndexTupleSize(itup));
Assert(itemsz <= BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(IvfflatPageOpaqueData)) - sizeof(ItemIdData)); Assert(itemsz <= BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(IvfflatPageOpaqueData)));
/* Find a page to insert the item */ /* Find a page to insert the item */
for (;;) for (;;)
{ {
buf = ReadBuffer(index, insertPage); buf = ReadBuffer(rel, insertPage);
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE); LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
state = GenericXLogStart(index); state = GenericXLogStart(rel);
page = GenericXLogRegisterBuffer(state, buf, 0); page = GenericXLogRegisterBuffer(state, buf, 0);
if (PageGetFreeSpace(page) >= itemsz) if (PageGetFreeSpace(page) >= itemsz)
@@ -127,9 +126,9 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, R
Page newpage; Page newpage;
/* Add a new page */ /* Add a new page */
LockRelationForExtension(index, ExclusiveLock); LockRelationForExtension(rel, ExclusiveLock);
newbuf = IvfflatNewBuffer(index, MAIN_FORKNUM); newbuf = IvfflatNewBuffer(rel, MAIN_FORKNUM);
UnlockRelationForExtension(index, ExclusiveLock); UnlockRelationForExtension(rel, ExclusiveLock);
/* Init new page */ /* Init new page */
newpage = GenericXLogRegisterBuffer(state, newbuf, GENERIC_XLOG_FULL_IMAGE); newpage = GenericXLogRegisterBuffer(state, newbuf, GENERIC_XLOG_FULL_IMAGE);
@@ -142,13 +141,15 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, R
IvfflatPageGetOpaque(page)->nextblkno = insertPage; IvfflatPageGetOpaque(page)->nextblkno = insertPage;
/* Commit */ /* Commit */
MarkBufferDirty(newbuf);
MarkBufferDirty(buf);
GenericXLogFinish(state); GenericXLogFinish(state);
/* Unlock previous buffer */ /* Unlock previous buffer */
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
/* Prepare new buffer */ /* Prepare new buffer */
state = GenericXLogStart(index); state = GenericXLogStart(rel);
buf = newbuf; buf = newbuf;
page = GenericXLogRegisterBuffer(state, buf, 0); page = GenericXLogRegisterBuffer(state, buf, 0);
break; break;
@@ -157,13 +158,13 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, R
/* Add to next offset */ /* Add to next offset */
if (PageAddItem(page, (Item) itup, itemsz, InvalidOffsetNumber, false, false) == InvalidOffsetNumber) if (PageAddItem(page, (Item) itup, itemsz, InvalidOffsetNumber, false, false) == InvalidOffsetNumber)
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index)); elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(rel));
IvfflatCommitBuffer(buf, state); IvfflatCommitBuffer(buf, state);
/* Update the insert page */ /* Update the insert page */
if (insertPage != originalInsertPage) if (insertPage != originalInsertPage)
IvfflatUpdateList(index, listInfo, insertPage, originalInsertPage, InvalidBlockNumber, MAIN_FORKNUM); IvfflatUpdateList(rel, listInfo, insertPage, originalInsertPage, InvalidBlockNumber, MAIN_FORKNUM);
} }
/* /*

View File

@@ -12,38 +12,38 @@
* https://theory.stanford.edu/~sergei/papers/kMeansPP-soda.pdf * https://theory.stanford.edu/~sergei/papers/kMeansPP-soda.pdf
*/ */
static void static void
InitCenters(Relation index, List *samples, VectorArray centers, float *lowerBound) InitCenters(Relation index, VectorArray samples, VectorArray centers, float *lowerBound)
{ {
FmgrInfo *procinfo; FmgrInfo *procinfo;
Oid collation; Oid collation;
int64 j; int64 j;
float *weight = palloc(list_length(samples) * sizeof(float)); double distance;
double sum;
double choice;
Vector *vec;
float *weight = palloc(samples->length * sizeof(float));
int numCenters = centers->maxlen; int numCenters = centers->maxlen;
int numSamples = list_length(samples); int numSamples = samples->length;
procinfo = index_getprocinfo(index, 1, IVFFLAT_KMEANS_DISTANCE_PROC); procinfo = index_getprocinfo(index, 1, IVFFLAT_KMEANS_DISTANCE_PROC);
collation = index->rd_indcollation[0]; collation = index->rd_indcollation[0];
/* Choose an initial center uniformly at random */ /* Choose an initial center uniformly at random */
VectorArraySet(centers, 0, list_nth(samples, RandomInt() % list_length(samples))); VectorArraySet(centers, 0, VectorArrayGet(samples, RandomInt() % samples->length));
centers->length++; centers->length++;
for (j = 0; j < numSamples; j++) for (j = 0; j < numSamples; j++)
weight[j] = FLT_MAX; weight[j] = DBL_MAX;
for (int i = 0; i < numCenters; i++) for (int i = 0; i < numCenters; i++)
{ {
double sum;
double choice;
CHECK_FOR_INTERRUPTS(); CHECK_FOR_INTERRUPTS();
sum = 0.0; sum = 0.0;
for (j = 0; j < numSamples; j++) for (j = 0; j < numSamples; j++)
{ {
Vector *vec = list_nth(samples, j); vec = VectorArrayGet(samples, j);
double distance;
/* Only need to compute distance for new center */ /* Only need to compute distance for new center */
/* TODO Use triangle inequality to reduce distance calculations */ /* TODO Use triangle inequality to reduce distance calculations */
@@ -74,7 +74,7 @@ InitCenters(Relation index, List *samples, VectorArray centers, float *lowerBoun
break; break;
} }
VectorArraySet(centers, i + 1, list_nth(samples, j)); VectorArraySet(centers, i + 1, VectorArrayGet(samples, j));
centers->length++; centers->length++;
} }
@@ -106,41 +106,26 @@ CompareVectors(const void *a, const void *b)
return vector_cmp_internal((Vector *) a, (Vector *) b); return vector_cmp_internal((Vector *) a, (Vector *) b);
} }
/*
* Compare list vectors
*/
static int
#if PG_VERSION_NUM >= 130000
CompareListVectors(const ListCell *a, const ListCell *b)
#else
CompareListVectors(const void *a, const void *b)
#endif
{
Vector *va = lfirst((ListCell *) a);
Vector *vb = lfirst((ListCell *) b);
return CompareVectors(va, vb);
}
/* /*
* Quick approach if we have little data * Quick approach if we have little data
*/ */
static void static void
QuickCenters(Relation index, List *samples, VectorArray centers) QuickCenters(Relation index, VectorArray samples, VectorArray centers)
{ {
Vector *vec;
int dimensions = centers->dim; int dimensions = centers->dim;
Oid collation = index->rd_indcollation[0]; Oid collation = index->rd_indcollation[0];
FmgrInfo *normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_KMEANS_NORM_PROC); FmgrInfo *normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_KMEANS_NORM_PROC);
/* Copy existing vectors while avoiding duplicates */ /* Copy existing vectors while avoiding duplicates */
if (list_length(samples) > 0) if (samples->length > 0)
{ {
list_sort(samples, CompareListVectors); qsort(samples->items, samples->length, VECTOR_SIZE(samples->dim), CompareVectors);
for (int i = 0; i < list_length(samples); i++) for (int i = 0; i < samples->length; i++)
{ {
Vector *vec = list_nth(samples, i); vec = VectorArrayGet(samples, i);
if (i == 0 || CompareVectors(vec, list_nth(samples, i - 1)) != 0) if (i == 0 || CompareVectors(vec, VectorArrayGet(samples, i - 1)) != 0)
{ {
VectorArraySet(centers, centers->length, vec); VectorArraySet(centers, centers->length, vec);
centers->length++; centers->length++;
@@ -151,7 +136,7 @@ QuickCenters(Relation index, List *samples, VectorArray centers)
/* Fill remaining with random data */ /* Fill remaining with random data */
while (centers->length < centers->maxlen) while (centers->length < centers->maxlen)
{ {
Vector *vec = VectorArrayGet(centers, centers->length); vec = VectorArrayGet(centers, centers->length);
SET_VARSIZE(vec, VECTOR_SIZE(dimensions)); SET_VARSIZE(vec, VECTOR_SIZE(dimensions));
vec->dim = dimensions; vec->dim = dimensions;
@@ -176,18 +161,19 @@ QuickCenters(Relation index, List *samples, VectorArray centers)
* https://www.aaai.org/Papers/ICML/2003/ICML03-022.pdf * https://www.aaai.org/Papers/ICML/2003/ICML03-022.pdf
*/ */
static void static void
ElkanKmeans(Relation index, List *samples, VectorArray centers) ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
{ {
FmgrInfo *procinfo; FmgrInfo *procinfo;
FmgrInfo *normprocinfo; FmgrInfo *normprocinfo;
Oid collation; Oid collation;
Vector *vec; Vector *vec;
Vector *newCenter; Vector *newCenter;
int iteration;
int64 j; int64 j;
int64 k; int64 k;
int dimensions = centers->dim; int dimensions = centers->dim;
int numCenters = centers->maxlen; int numCenters = centers->maxlen;
int numSamples = list_length(samples); int numSamples = samples->length;
VectorArray newCenters; VectorArray newCenters;
int *centerCounts; int *centerCounts;
int *closestCenters; int *closestCenters;
@@ -196,9 +182,17 @@ ElkanKmeans(Relation index, List *samples, VectorArray centers)
float *s; float *s;
float *halfcdist; float *halfcdist;
float *newcdist; float *newcdist;
int changes;
double minDistance;
int closestCenter;
double distance;
bool rj;
bool rjreset;
double dxcx;
double dxc;
/* Calculate allocation sizes */ /* Calculate allocation sizes */
Size samplesSize = 0; Size samplesSize = VECTOR_ARRAY_SIZE(samples->maxlen, samples->dim);
Size centersSize = VECTOR_ARRAY_SIZE(centers->maxlen, centers->dim); Size centersSize = VECTOR_ARRAY_SIZE(centers->maxlen, centers->dim);
Size newCentersSize = VECTOR_ARRAY_SIZE(numCenters, dimensions); Size newCentersSize = VECTOR_ARRAY_SIZE(numCenters, dimensions);
Size centerCountsSize = sizeof(int) * numCenters; Size centerCountsSize = sizeof(int) * numCenters;
@@ -253,14 +247,14 @@ ElkanKmeans(Relation index, List *samples, VectorArray centers)
/* Assign each x to its closest initial center c(x) = argmin d(x,c) */ /* Assign each x to its closest initial center c(x) = argmin d(x,c) */
for (j = 0; j < numSamples; j++) for (j = 0; j < numSamples; j++)
{ {
float minDistance = FLT_MAX; minDistance = DBL_MAX;
int closestCenter = 0; closestCenter = 0;
/* Find closest center */ /* Find closest center */
for (k = 0; k < numCenters; k++) for (k = 0; k < numCenters; k++)
{ {
/* TODO Use Lemma 1 in k-means++ initialization */ /* TODO Use Lemma 1 in k-means++ initialization */
float distance = lowerBound[j * numCenters + k]; distance = lowerBound[j * numCenters + k];
if (distance < minDistance) if (distance < minDistance)
{ {
@@ -274,14 +268,13 @@ ElkanKmeans(Relation index, List *samples, VectorArray centers)
} }
/* Give 500 iterations to converge */ /* Give 500 iterations to converge */
for (int iteration = 0; iteration < 500; iteration++) for (iteration = 0; iteration < 500; iteration++)
{ {
int changes = 0;
bool rjreset;
/* Can take a while, so ensure we can interrupt */ /* Can take a while, so ensure we can interrupt */
CHECK_FOR_INTERRUPTS(); CHECK_FOR_INTERRUPTS();
changes = 0;
/* Step 1: For all centers, compute distance */ /* Step 1: For all centers, compute distance */
for (j = 0; j < numCenters; j++) for (j = 0; j < numCenters; j++)
{ {
@@ -289,8 +282,7 @@ ElkanKmeans(Relation index, List *samples, VectorArray centers)
for (k = j + 1; k < numCenters; k++) for (k = j + 1; k < numCenters; k++)
{ {
float distance = 0.5 * DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(vec), PointerGetDatum(VectorArrayGet(centers, k)))); distance = 0.5 * DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(vec), PointerGetDatum(VectorArrayGet(centers, k))));
halfcdist[j * numCenters + k] = distance; halfcdist[j * numCenters + k] = distance;
halfcdist[k * numCenters + j] = distance; halfcdist[k * numCenters + j] = distance;
} }
@@ -299,12 +291,10 @@ ElkanKmeans(Relation index, List *samples, VectorArray centers)
/* For all centers c, compute s(c) */ /* For all centers c, compute s(c) */
for (j = 0; j < numCenters; j++) for (j = 0; j < numCenters; j++)
{ {
float minDistance = FLT_MAX; minDistance = DBL_MAX;
for (k = 0; k < numCenters; k++) for (k = 0; k < numCenters; k++)
{ {
float distance;
if (j == k) if (j == k)
continue; continue;
@@ -320,8 +310,6 @@ ElkanKmeans(Relation index, List *samples, VectorArray centers)
for (j = 0; j < numSamples; j++) for (j = 0; j < numSamples; j++)
{ {
bool rj;
/* Step 2: Identify all points x such that u(x) <= s(c(x)) */ /* Step 2: Identify all points x such that u(x) <= s(c(x)) */
if (upperBound[j] <= s[closestCenters[j]]) if (upperBound[j] <= s[closestCenters[j]])
continue; continue;
@@ -330,8 +318,6 @@ ElkanKmeans(Relation index, List *samples, VectorArray centers)
for (k = 0; k < numCenters; k++) for (k = 0; k < numCenters; k++)
{ {
float dxcx;
/* Step 3: For all remaining points x and centers c */ /* Step 3: For all remaining points x and centers c */
if (k == closestCenters[j]) if (k == closestCenters[j])
continue; continue;
@@ -342,7 +328,7 @@ ElkanKmeans(Relation index, List *samples, VectorArray centers)
if (upperBound[j] <= halfcdist[closestCenters[j] * numCenters + k]) if (upperBound[j] <= halfcdist[closestCenters[j] * numCenters + k])
continue; continue;
vec = list_nth(samples, j); vec = VectorArrayGet(samples, j);
/* Step 3a */ /* Step 3a */
if (rj) if (rj)
@@ -361,7 +347,7 @@ ElkanKmeans(Relation index, List *samples, VectorArray centers)
/* Step 3b */ /* Step 3b */
if (dxcx > lowerBound[j * numCenters + k] || dxcx > halfcdist[closestCenters[j] * numCenters + k]) if (dxcx > lowerBound[j * numCenters + k] || dxcx > halfcdist[closestCenters[j] * numCenters + k])
{ {
float dxc = DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(vec), PointerGetDatum(VectorArrayGet(centers, k)))); dxc = DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(vec), PointerGetDatum(VectorArrayGet(centers, k))));
/* d(x,c) calculated */ /* d(x,c) calculated */
lowerBound[j * numCenters + k] = dxc; lowerBound[j * numCenters + k] = dxc;
@@ -375,6 +361,7 @@ ElkanKmeans(Relation index, List *samples, VectorArray centers)
changes++; changes++;
} }
} }
} }
} }
@@ -391,9 +378,7 @@ ElkanKmeans(Relation index, List *samples, VectorArray centers)
for (j = 0; j < numSamples; j++) for (j = 0; j < numSamples; j++)
{ {
int closestCenter; vec = VectorArrayGet(samples, j);
vec = list_nth(samples, j);
closestCenter = closestCenters[j]; closestCenter = closestCenters[j];
/* Increment sum and count of closest center */ /* Increment sum and count of closest center */
@@ -441,7 +426,7 @@ ElkanKmeans(Relation index, List *samples, VectorArray centers)
{ {
for (k = 0; k < numCenters; k++) for (k = 0; k < numCenters; k++)
{ {
float distance = lowerBound[j * numCenters + k] - newcdist[k]; distance = lowerBound[j * numCenters + k] - newcdist[k];
if (distance < 0) if (distance < 0)
distance = 0; distance = 0;
@@ -457,7 +442,7 @@ ElkanKmeans(Relation index, List *samples, VectorArray centers)
/* Step 7 */ /* Step 7 */
for (j = 0; j < numCenters; j++) for (j = 0; j < numCenters; j++)
VectorArraySet(centers, j, VectorArrayGet(newCenters, j)); memcpy(VectorArrayGet(centers, j), VectorArrayGet(newCenters, j), VECTOR_SIZE(dimensions));
if (changes == 0 && iteration != 0) if (changes == 0 && iteration != 0)
break; break;
@@ -480,6 +465,9 @@ static void
CheckCenters(Relation index, VectorArray centers) CheckCenters(Relation index, VectorArray centers)
{ {
FmgrInfo *normprocinfo; FmgrInfo *normprocinfo;
Oid collation;
Vector *vec;
double norm;
if (centers->length != centers->maxlen) if (centers->length != centers->maxlen)
elog(ERROR, "Not enough centers. Please report a bug."); elog(ERROR, "Not enough centers. Please report a bug.");
@@ -487,7 +475,7 @@ CheckCenters(Relation index, VectorArray centers)
/* Ensure no NaN or infinite values */ /* Ensure no NaN or infinite values */
for (int i = 0; i < centers->length; i++) for (int i = 0; i < centers->length; i++)
{ {
Vector *vec = VectorArrayGet(centers, i); vec = VectorArrayGet(centers, i);
for (int j = 0; j < vec->dim; j++) for (int j = 0; j < vec->dim; j++)
{ {
@@ -513,12 +501,11 @@ CheckCenters(Relation index, VectorArray centers)
normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC); normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC);
if (normprocinfo != NULL) if (normprocinfo != NULL)
{ {
Oid collation = index->rd_indcollation[0]; collation = index->rd_indcollation[0];
for (int i = 0; i < centers->length; i++) for (int i = 0; i < centers->length; i++)
{ {
double norm = DatumGetFloat8(FunctionCall1Coll(normprocinfo, collation, PointerGetDatum(VectorArrayGet(centers, i)))); norm = DatumGetFloat8(FunctionCall1Coll(normprocinfo, collation, PointerGetDatum(VectorArrayGet(centers, i))));
if (norm == 0) if (norm == 0)
elog(ERROR, "Zero norm detected. Please report a bug."); elog(ERROR, "Zero norm detected. Please report a bug.");
} }
@@ -530,9 +517,9 @@ CheckCenters(Relation index, VectorArray centers)
* We use spherical k-means for inner product and cosine * We use spherical k-means for inner product and cosine
*/ */
void void
IvfflatKmeans(Relation index, List *samples, VectorArray centers) IvfflatKmeans(Relation index, VectorArray samples, VectorArray centers)
{ {
if (list_length(samples) <= centers->maxlen) if (samples->length <= centers->maxlen)
QuickCenters(index, samples, centers); QuickCenters(index, samples, centers);
else else
ElkanKmeans(index, samples, centers); ElkanKmeans(index, samples, centers);

View File

@@ -31,36 +31,36 @@ CompareLists(const pairingheap_node *a, const pairingheap_node *b, void *arg)
static void static void
GetScanLists(IndexScanDesc scan, Datum value) GetScanLists(IndexScanDesc scan, Datum value)
{ {
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque; Buffer cbuf;
Page cpage;
IvfflatList list;
OffsetNumber offno;
OffsetNumber maxoffno;
BlockNumber nextblkno = IVFFLAT_HEAD_BLKNO; BlockNumber nextblkno = IVFFLAT_HEAD_BLKNO;
int listCount = 0; int listCount = 0;
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
double distance;
IvfflatScanList *scanlist;
double maxDistance = DBL_MAX; double maxDistance = DBL_MAX;
/* Search all list pages */ /* Search all list pages */
while (BlockNumberIsValid(nextblkno)) while (BlockNumberIsValid(nextblkno))
{ {
Buffer cbuf;
Page cpage;
OffsetNumber maxoffno;
cbuf = ReadBuffer(scan->indexRelation, nextblkno); cbuf = ReadBuffer(scan->indexRelation, nextblkno);
LockBuffer(cbuf, BUFFER_LOCK_SHARE); LockBuffer(cbuf, BUFFER_LOCK_SHARE);
cpage = BufferGetPage(cbuf); cpage = BufferGetPage(cbuf);
maxoffno = PageGetMaxOffsetNumber(cpage); maxoffno = PageGetMaxOffsetNumber(cpage);
for (OffsetNumber offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno)) for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
{ {
IvfflatList list = (IvfflatList) PageGetItem(cpage, PageGetItemId(cpage, offno)); list = (IvfflatList) PageGetItem(cpage, PageGetItemId(cpage, offno));
double distance;
/* Use procinfo from the index instead of scan key for performance */ /* Use procinfo from the index instead of scan key for performance */
distance = DatumGetFloat8(FunctionCall2Coll(so->procinfo, so->collation, PointerGetDatum(&list->center), value)); distance = DatumGetFloat8(FunctionCall2Coll(so->procinfo, so->collation, PointerGetDatum(&list->center), value));
if (listCount < so->probes) if (listCount < so->probes)
{ {
IvfflatScanList *scanlist;
scanlist = &so->lists[listCount]; scanlist = &so->lists[listCount];
scanlist->startPage = list->startPage; scanlist->startPage = list->startPage;
scanlist->distance = distance; scanlist->distance = distance;
@@ -75,8 +75,6 @@ GetScanLists(IndexScanDesc scan, Datum value)
} }
else if (distance < maxDistance) else if (distance < maxDistance)
{ {
IvfflatScanList *scanlist;
/* Remove */ /* Remove */
scanlist = (IvfflatScanList *) pairingheap_remove_first(so->listQueue); scanlist = (IvfflatScanList *) pairingheap_remove_first(so->listQueue);
@@ -103,6 +101,14 @@ static void
GetScanItems(IndexScanDesc scan, Datum value) GetScanItems(IndexScanDesc scan, Datum value)
{ {
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque; IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
Buffer buf;
Page page;
IndexTuple itup;
BlockNumber searchPage;
OffsetNumber offno;
OffsetNumber maxoffno;
Datum datum;
bool isnull;
TupleDesc tupdesc = RelationGetDescr(scan->indexRelation); TupleDesc tupdesc = RelationGetDescr(scan->indexRelation);
double tuples = 0; double tuples = 0;
@@ -122,28 +128,19 @@ GetScanItems(IndexScanDesc scan, Datum value)
/* Search closest probes lists */ /* Search closest probes lists */
while (!pairingheap_is_empty(so->listQueue)) while (!pairingheap_is_empty(so->listQueue))
{ {
BlockNumber searchPage = ((IvfflatScanList *) pairingheap_remove_first(so->listQueue))->startPage; searchPage = ((IvfflatScanList *) pairingheap_remove_first(so->listQueue))->startPage;
/* Search all entry pages for list */ /* Search all entry pages for list */
while (BlockNumberIsValid(searchPage)) while (BlockNumberIsValid(searchPage))
{ {
Buffer buf;
Page page;
OffsetNumber maxoffno;
buf = ReadBufferExtended(scan->indexRelation, MAIN_FORKNUM, searchPage, RBM_NORMAL, bas); buf = ReadBufferExtended(scan->indexRelation, MAIN_FORKNUM, searchPage, RBM_NORMAL, bas);
LockBuffer(buf, BUFFER_LOCK_SHARE); LockBuffer(buf, BUFFER_LOCK_SHARE);
page = BufferGetPage(buf); page = BufferGetPage(buf);
maxoffno = PageGetMaxOffsetNumber(page); maxoffno = PageGetMaxOffsetNumber(page);
for (OffsetNumber offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno)) for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
{ {
IndexTuple itup; itup = (IndexTuple) PageGetItem(page, PageGetItemId(page, offno));
Datum datum;
bool isnull;
ItemId itemid = PageGetItemId(page, offno);
itup = (IndexTuple) PageGetItem(page, itemid);
datum = index_getattr(itup, 1, tupdesc, &isnull); datum = index_getattr(itup, 1, tupdesc, &isnull);
/* /*
@@ -157,6 +154,8 @@ GetScanItems(IndexScanDesc scan, Datum value)
slot->tts_isnull[0] = false; slot->tts_isnull[0] = false;
slot->tts_values[1] = PointerGetDatum(&itup->t_tid); slot->tts_values[1] = PointerGetDatum(&itup->t_tid);
slot->tts_isnull[1] = false; slot->tts_isnull[1] = false;
slot->tts_values[2] = Int32GetDatum((int) searchPage);
slot->tts_isnull[2] = false;
ExecStoreVirtualTuple(slot); ExecStoreVirtualTuple(slot);
tuplesort_puttupleslot(so->sortstate, slot); tuplesort_puttupleslot(so->sortstate, slot);
@@ -181,6 +180,29 @@ GetScanItems(IndexScanDesc scan, Datum value)
tuplesort_performsort(so->sortstate); tuplesort_performsort(so->sortstate);
} }
/*
* Get dimensions from metapage
*/
static int
GetDimensions(Relation index)
{
Buffer buf;
Page page;
IvfflatMetaPage metap;
int dimensions;
buf = ReadBuffer(index, IVFFLAT_METAPAGE_BLKNO);
LockBuffer(buf, BUFFER_LOCK_SHARE);
page = BufferGetPage(buf);
metap = IvfflatPageGetMeta(page);
dimensions = metap->dimensions;
UnlockReleaseBuffer(buf);
return dimensions;
}
/* /*
* Prepare for an index scan * Prepare for an index scan
*/ */
@@ -190,7 +212,6 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
IndexScanDesc scan; IndexScanDesc scan;
IvfflatScanOpaque so; IvfflatScanOpaque so;
int lists; int lists;
int dimensions;
AttrNumber attNums[] = {1}; AttrNumber attNums[] = {1};
Oid sortOperators[] = {Float8LessOperator}; Oid sortOperators[] = {Float8LessOperator};
Oid sortCollations[] = {InvalidOid}; Oid sortCollations[] = {InvalidOid};
@@ -198,17 +219,15 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
int probes = ivfflat_probes; int probes = ivfflat_probes;
scan = RelationGetIndexScan(index, nkeys, norderbys); scan = RelationGetIndexScan(index, nkeys, norderbys);
lists = IvfflatGetLists(scan->indexRelation);
/* Get lists and dimensions from metapage */
IvfflatGetMetaPageInfo(index, &lists, &dimensions);
if (probes > lists) if (probes > lists)
probes = lists; probes = lists;
so = (IvfflatScanOpaque) palloc(offsetof(IvfflatScanOpaqueData, lists) + probes * sizeof(IvfflatScanList)); so = (IvfflatScanOpaque) palloc(offsetof(IvfflatScanOpaqueData, lists) + probes * sizeof(IvfflatScanList));
so->buf = InvalidBuffer;
so->first = true; so->first = true;
so->probes = probes; so->probes = probes;
so->dimensions = dimensions;
/* Set support functions */ /* Set support functions */
so->procinfo = index_getprocinfo(index, 1, IVFFLAT_DISTANCE_PROC); so->procinfo = index_getprocinfo(index, 1, IVFFLAT_DISTANCE_PROC);
@@ -217,12 +236,13 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
/* Create tuple description for sorting */ /* Create tuple description for sorting */
#if PG_VERSION_NUM >= 120000 #if PG_VERSION_NUM >= 120000
so->tupdesc = CreateTemplateTupleDesc(2); so->tupdesc = CreateTemplateTupleDesc(3);
#else #else
so->tupdesc = CreateTemplateTupleDesc(2, false); so->tupdesc = CreateTemplateTupleDesc(3, false);
#endif #endif
TupleDescInitEntry(so->tupdesc, (AttrNumber) 1, "distance", FLOAT8OID, -1, 0); TupleDescInitEntry(so->tupdesc, (AttrNumber) 1, "distance", FLOAT8OID, -1, 0);
TupleDescInitEntry(so->tupdesc, (AttrNumber) 2, "heaptid", TIDOID, -1, 0); TupleDescInitEntry(so->tupdesc, (AttrNumber) 2, "tid", TIDOID, -1, 0);
TupleDescInitEntry(so->tupdesc, (AttrNumber) 3, "indexblkno", INT4OID, -1, 0);
/* Prep sort */ /* Prep sort */
so->sortstate = tuplesort_begin_heap(so->tupdesc, 1, attNums, sortOperators, sortCollations, nullsFirstFlags, work_mem, NULL, false); so->sortstate = tuplesort_begin_heap(so->tupdesc, 1, attNums, sortOperators, sortCollations, nullsFirstFlags, work_mem, NULL, false);
@@ -288,13 +308,8 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
if (scan->orderByData == NULL) if (scan->orderByData == NULL)
elog(ERROR, "cannot scan ivfflat index without order"); elog(ERROR, "cannot scan ivfflat index without order");
/* Requires MVCC-compliant snapshot as not able to pin during sorting */
/* https://www.postgresql.org/docs/current/index-locking.html */
if (!IsMVCCSnapshot(scan->xs_snapshot))
elog(ERROR, "non-MVCC snapshots are not supported with ivfflat");
if (scan->orderByData->sk_flags & SK_ISNULL) if (scan->orderByData->sk_flags & SK_ISNULL)
value = PointerGetDatum(InitVector(so->dimensions)); value = PointerGetDatum(InitVector(GetDimensions(scan->indexRelation)));
else else
{ {
value = scan->orderByData->sk_argument; value = scan->orderByData->sk_argument;
@@ -319,14 +334,27 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
if (tuplesort_gettupleslot(so->sortstate, true, false, so->slot, NULL)) if (tuplesort_gettupleslot(so->sortstate, true, false, so->slot, NULL))
{ {
ItemPointer heaptid = (ItemPointer) DatumGetPointer(slot_getattr(so->slot, 2, &so->isnull)); ItemPointer tid = (ItemPointer) DatumGetPointer(slot_getattr(so->slot, 2, &so->isnull));
BlockNumber indexblkno = DatumGetInt32(slot_getattr(so->slot, 3, &so->isnull));
#if PG_VERSION_NUM >= 120000 #if PG_VERSION_NUM >= 120000
scan->xs_heaptid = *heaptid; scan->xs_heaptid = *tid;
#else #else
scan->xs_ctup.t_self = *heaptid; scan->xs_ctup.t_self = *tid;
#endif #endif
/* Unpin buffer */
if (BufferIsValid(so->buf))
ReleaseBuffer(so->buf);
/*
* An index scan must maintain a pin on the index page holding the
* item last returned by amgettuple
*
* https://www.postgresql.org/docs/current/index-locking.html
*/
so->buf = ReadBuffer(scan->indexRelation, indexblkno);
scan->xs_recheckorderby = false; scan->xs_recheckorderby = false;
return true; return true;
} }
@@ -342,6 +370,10 @@ ivfflatendscan(IndexScanDesc scan)
{ {
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque; IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
/* Release pin */
if (BufferIsValid(so->buf))
ReleaseBuffer(so->buf);
pairingheap_free(so->listQueue); pairingheap_free(so->listQueue);
tuplesort_end(so->sortstate); tuplesort_end(so->sortstate);

View File

@@ -57,12 +57,12 @@ IvfflatGetLists(Relation index)
* Get proc * Get proc
*/ */
FmgrInfo * FmgrInfo *
IvfflatOptionalProcInfo(Relation index, uint16 procnum) IvfflatOptionalProcInfo(Relation rel, uint16 procnum)
{ {
if (!OidIsValid(index_getprocid(index, 1, procnum))) if (!OidIsValid(index_getprocid(rel, 1, procnum)))
return NULL; return NULL;
return index_getprocinfo(index, 1, procnum); return index_getprocinfo(rel, 1, procnum);
} }
/* /*
@@ -136,6 +136,7 @@ IvfflatInitRegisterPage(Relation index, Buffer *buf, Page *page, GenericXLogStat
void void
IvfflatCommitBuffer(Buffer buf, GenericXLogState *state) IvfflatCommitBuffer(Buffer buf, GenericXLogState *state)
{ {
MarkBufferDirty(buf);
GenericXLogFinish(state); GenericXLogFinish(state);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
} }
@@ -159,6 +160,8 @@ IvfflatAppendPage(Relation index, Buffer *buf, Page *page, GenericXLogState **st
IvfflatInitPage(newbuf, newpage); IvfflatInitPage(newbuf, newpage);
/* Commit */ /* Commit */
MarkBufferDirty(*buf);
MarkBufferDirty(newbuf);
GenericXLogFinish(*state); GenericXLogFinish(*state);
/* Unlock */ /* Unlock */
@@ -169,29 +172,6 @@ IvfflatAppendPage(Relation index, Buffer *buf, Page *page, GenericXLogState **st
*buf = newbuf; *buf = newbuf;
} }
/*
* Get the metapage info
*/
void
IvfflatGetMetaPageInfo(Relation index, int *lists, int *dimensions)
{
Buffer buf;
Page page;
IvfflatMetaPage metap;
buf = ReadBuffer(index, IVFFLAT_METAPAGE_BLKNO);
LockBuffer(buf, BUFFER_LOCK_SHARE);
page = BufferGetPage(buf);
metap = IvfflatPageGetMeta(page);
*lists = metap->lists;
if (dimensions != NULL)
*dimensions = metap->dimensions;
UnlockReleaseBuffer(buf);
}
/* /*
* Update the start or insert page of a list * Update the start or insert page of a list
*/ */

View File

@@ -107,6 +107,7 @@ ivfflatbulkdelete(IndexVacuumInfo *info, IndexBulkDeleteResult *stats,
{ {
/* Delete tuples */ /* Delete tuples */
PageIndexMultiDelete(page, deletable, ndeletable); PageIndexMultiDelete(page, deletable, ndeletable);
MarkBufferDirty(buf);
GenericXLogFinish(state); GenericXLogFinish(state);
} }
else else

View File

@@ -684,6 +684,49 @@ cosine_distance(PG_FUNCTION_ARGS)
PG_RETURN_FLOAT8(1.0 - similarity); PG_RETURN_FLOAT8(1.0 - similarity);
} }
/*
* Get the angular distance between two vectors
*/
PGDLLEXPORT PG_FUNCTION_INFO_V1(angular_distance);
Datum
angular_distance(PG_FUNCTION_ARGS)
{
Vector *a = PG_GETARG_VECTOR_P(0);
Vector *b = PG_GETARG_VECTOR_P(1);
float *ax = a->x;
float *bx = b->x;
float distance = 0.0;
float norma = 0.0;
float normb = 0.0;
double similarity;
CheckDims(a, b);
/* Auto-vectorized */
for (int i = 0; i < a->dim; i++)
{
distance += ax[i] * bx[i];
norma += ax[i] * ax[i];
normb += bx[i] * bx[i];
}
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
/* Prevent NaN with acos with loss of precision */
if (similarity > 1)
similarity = 1;
else if (similarity < -1)
similarity = -1;
PG_RETURN_FLOAT8(acos(similarity) / M_PI);
}
/* /*
* Get the distance for spherical k-means * Get the distance for spherical k-means
* Currently uses angular distance since needs to satisfy triangle inequality * Currently uses angular distance since needs to satisfy triangle inequality

View File

@@ -106,12 +106,6 @@ SELECT cosine_distance('[1,1]', '[1,1]');
0 0
(1 row) (1 row)
SELECT cosine_distance('[1,0]', '[0,2]');
cosine_distance
-----------------
1
(1 row)
SELECT cosine_distance('[1,1]', '[-1,-1]'); SELECT cosine_distance('[1,1]', '[-1,-1]');
cosine_distance cosine_distance
----------------- -----------------
@@ -158,6 +152,56 @@ SELECT l1_distance('[3e38]', '[-3e38]');
Infinity Infinity
(1 row) (1 row)
SELECT angular_distance('[1,2]', '[2,4]');
angular_distance
------------------
0
(1 row)
SELECT angular_distance('[1,2]', '[0,0]');
angular_distance
------------------
NaN
(1 row)
SELECT angular_distance('[1,1]', '[1,1]');
angular_distance
------------------
0
(1 row)
SELECT angular_distance('[1,0]', '[0,2]');
angular_distance
------------------
0.5
(1 row)
SELECT angular_distance('[1,1]', '[-1,-1]');
angular_distance
------------------
1
(1 row)
SELECT angular_distance('[1,2]', '[3]');
ERROR: different vector dimensions 2 and 1
SELECT angular_distance('[1,1]', '[1.1,1.1]');
angular_distance
------------------
0
(1 row)
SELECT angular_distance('[1,1]', '[-1.1,-1.1]');
angular_distance
------------------
1
(1 row)
SELECT angular_distance('[3e38]', '[3e38]');
angular_distance
------------------
NaN
(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
----------- -----------

View File

@@ -25,7 +25,6 @@ SELECT inner_product('[3e38]', '[3e38]');
SELECT cosine_distance('[1,2]', '[2,4]'); SELECT cosine_distance('[1,2]', '[2,4]');
SELECT cosine_distance('[1,2]', '[0,0]'); SELECT cosine_distance('[1,2]', '[0,0]');
SELECT cosine_distance('[1,1]', '[1,1]'); SELECT cosine_distance('[1,1]', '[1,1]');
SELECT cosine_distance('[1,0]', '[0,2]');
SELECT cosine_distance('[1,1]', '[-1,-1]'); SELECT cosine_distance('[1,1]', '[-1,-1]');
SELECT cosine_distance('[1,2]', '[3]'); SELECT cosine_distance('[1,2]', '[3]');
SELECT cosine_distance('[1,1]', '[1.1,1.1]'); SELECT cosine_distance('[1,1]', '[1.1,1.1]');
@@ -37,6 +36,16 @@ 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 angular_distance('[1,2]', '[2,4]');
SELECT angular_distance('[1,2]', '[0,0]');
SELECT angular_distance('[1,1]', '[1,1]');
SELECT angular_distance('[1,0]', '[0,2]');
SELECT angular_distance('[1,1]', '[-1,-1]');
SELECT angular_distance('[1,2]', '[3]');
SELECT angular_distance('[1,1]', '[1.1,1.1]');
SELECT angular_distance('[1,1]', '[-1.1,-1.1]');
SELECT angular_distance('[3e38]', '[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]']) 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;

View File

@@ -1,43 +0,0 @@
use strict;
use warnings;
use PostgresNode;
use TestLib;
use Test::More;
my $dim = 3;
my $array_sql = join(",", ('random()') x $dim);
# Initialize node
my $node = get_new_node('node');
$node->init;
$node->start;
# Create table and index
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
$node->safe_psql("postgres", "CREATE TABLE tst (i serial, v vector($dim));");
$node->safe_psql("postgres",
"INSERT INTO tst (v) SELECT ARRAY[$array_sql] FROM generate_series(1, 10000) i;"
);
$node->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v vector_l2_ops);");
# Delete data
$node->safe_psql("postgres", "DELETE FROM tst WHERE i % 100 != 0;");
my $exp = $node->safe_psql("postgres", qq(
SET enable_indexscan = off;
SELECT i FROM tst ORDER BY v <-> '[0,0,0]';
));
# Run twice to make sure correct tuples marked as dead
for (1 .. 2)
{
my $res = $node->safe_psql("postgres", qq(
SET enable_seqscan = off;
SET ivfflat.probes = 100;
SELECT i FROM tst ORDER BY v <-> '[0,0,0]';
));
is($res, $exp);
}
done_testing();

View File

@@ -1,4 +1,4 @@
comment = 'vector data type and ivfflat and hnsw access methods' comment = 'vector data type and ivfflat access method'
default_version = '0.5.1' default_version = '0.5.0'
module_pathname = '$libdir/vector' module_pathname = '$libdir/vector'
relocatable = true relocatable = true