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30 Commits
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d0a1c1d0ed | ||
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8063201cdf |
@@ -1,3 +1,8 @@
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## 0.2.6 (unreleased)
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||||
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- Significantly improved index query performance
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- Improved performance of index creation for Postgres < 12
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## 0.2.5 (2022-02-11)
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- Reduced memory usage during index creation
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112
src/ivfbuild.c
112
src/ivfbuild.c
@@ -36,16 +36,11 @@
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#define CALLBACK_ITEM_POINTER HeapTuple hup
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#endif
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||||
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||||
/*
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* Update build phase progress
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*/
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static inline void
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UpdateProgress(int index, int64 val)
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||||
{
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#if PG_VERSION_NUM >= 120000
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pgstat_progress_update_param(index, val);
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#define UpdateProgress(index, val) pgstat_progress_update_param(index, val)
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#else
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#define UpdateProgress(index, val) ((void)val)
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#endif
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}
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/*
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* Callback for sampling
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@@ -117,13 +112,13 @@ SampleRows(IvfflatBuildState * buildstate)
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#if PG_VERSION_NUM >= 120000
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table_index_build_range_scan(buildstate->heap, buildstate->index, buildstate->indexInfo,
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false, true, true, targblock, 1, SampleCallback, (void *) buildstate, NULL);
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false, true, false, targblock, 1, SampleCallback, (void *) buildstate, NULL);
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#elif PG_VERSION_NUM >= 110000
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IndexBuildHeapRangeScan(buildstate->heap, buildstate->index, buildstate->indexInfo,
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true, true, targblock, 1, SampleCallback, (void *) buildstate, NULL);
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false, true, targblock, 1, SampleCallback, (void *) buildstate, NULL);
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#else
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IndexBuildHeapRangeScan(buildstate->heap, buildstate->index, buildstate->indexInfo,
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true, true, targblock, 1, SampleCallback, (void *) buildstate);
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false, true, targblock, 1, SampleCallback, (void *) buildstate);
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#endif
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}
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||||
}
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@@ -170,16 +165,20 @@ BuildCallback(Relation index, CALLBACK_ITEM_POINTER, Datum *values,
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}
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}
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#ifdef IVFFLAT_KMEANS_DEBUG
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buildstate->inertia += minDistance;
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buildstate->listSums[closestCenter] += minDistance;
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buildstate->listCounts[closestCenter]++;
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#endif
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/* Create a virtual tuple */
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ExecClearTuple(slot);
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slot->tts_values[0] = Int32GetDatum(closestCenter);
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slot->tts_isnull[0] = false;
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slot->tts_values[1] = Int32GetDatum(ItemPointerGetBlockNumberNoCheck(tid));
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slot->tts_values[1] = PointerGetDatum(tid);
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slot->tts_isnull[1] = false;
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slot->tts_values[2] = Int32GetDatum(ItemPointerGetOffsetNumberNoCheck(tid));
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slot->tts_values[2] = value;
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slot->tts_isnull[2] = false;
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slot->tts_values[3] = value;
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slot->tts_isnull[3] = false;
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ExecStoreVirtualTuple(slot);
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||||
/*
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@@ -201,8 +200,6 @@ GetNextTuple(Tuplesortstate *sortstate, TupleDesc tupdesc, TupleTableSlot *slot,
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{
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Datum value;
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bool isnull;
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int tupblk;
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int tupoff;
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||||
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||||
#if PG_VERSION_NUM >= 100000
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if (tuplesort_gettupleslot(sortstate, true, false, slot, NULL))
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@@ -211,13 +208,11 @@ GetNextTuple(Tuplesortstate *sortstate, TupleDesc tupdesc, TupleTableSlot *slot,
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||||
#endif
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{
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||||
*list = DatumGetInt32(slot_getattr(slot, 1, &isnull));
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||||
tupblk = DatumGetInt32(slot_getattr(slot, 2, &isnull));
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||||
tupoff = DatumGetInt32(slot_getattr(slot, 3, &isnull));
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value = slot_getattr(slot, 4, &isnull);
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||||
value = slot_getattr(slot, 3, &isnull);
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||||
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||||
/* Form the index tuple */
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*itup = index_form_tuple(tupdesc, &value, &isnull);
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ItemPointerSet(&(*itup)->t_tid, tupblk, tupoff);
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||||
(*itup)->t_tid = *((ItemPointer) DatumGetPointer(slot_getattr(slot, 2, &isnull)));
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||||
}
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||||
else
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||||
*list = -1;
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||||
@@ -326,17 +321,16 @@ InitBuildState(IvfflatBuildState * buildstate, Relation heap, Relation index, In
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||||
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||||
/* Create tuple description for sorting */
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||||
#if PG_VERSION_NUM >= 120000
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buildstate->tupdesc = CreateTemplateTupleDesc(4);
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buildstate->tupdesc = CreateTemplateTupleDesc(3);
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||||
#else
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buildstate->tupdesc = CreateTemplateTupleDesc(4, false);
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buildstate->tupdesc = CreateTemplateTupleDesc(3, false);
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||||
#endif
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TupleDescInitEntry(buildstate->tupdesc, (AttrNumber) 1, "list", INT4OID, -1, 0);
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TupleDescInitEntry(buildstate->tupdesc, (AttrNumber) 2, "blkno", INT4OID, -1, 0);
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TupleDescInitEntry(buildstate->tupdesc, (AttrNumber) 3, "offset", INT4OID, -1, 0);
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TupleDescInitEntry(buildstate->tupdesc, (AttrNumber) 2, "tid", TIDOID, -1, 0);
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#if PG_VERSION_NUM >= 110000
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TupleDescInitEntry(buildstate->tupdesc, (AttrNumber) 4, "vector", RelationGetDescr(index)->attrs[0].atttypid, -1, 0);
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TupleDescInitEntry(buildstate->tupdesc, (AttrNumber) 3, "vector", RelationGetDescr(index)->attrs[0].atttypid, -1, 0);
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||||
#else
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||||
TupleDescInitEntry(buildstate->tupdesc, (AttrNumber) 4, "vector", RelationGetDescr(index)->attrs[0]->atttypid, -1, 0);
|
||||
TupleDescInitEntry(buildstate->tupdesc, (AttrNumber) 3, "vector", RelationGetDescr(index)->attrs[0]->atttypid, -1, 0);
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
@@ -350,6 +344,12 @@ InitBuildState(IvfflatBuildState * buildstate, Relation heap, Relation index, In
|
||||
|
||||
/* Reuse for each tuple */
|
||||
buildstate->normvec = InitVector(buildstate->dimensions);
|
||||
|
||||
#ifdef IVFFLAT_KMEANS_DEBUG
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||||
buildstate->inertia = 0;
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||||
buildstate->listSums = palloc0(sizeof(double) * buildstate->lists);
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||||
buildstate->listCounts = palloc0(sizeof(int) * buildstate->lists);
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||||
#endif
|
||||
}
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||||
|
||||
/*
|
||||
@@ -361,6 +361,11 @@ FreeBuildState(IvfflatBuildState * buildstate)
|
||||
pfree(buildstate->centers);
|
||||
pfree(buildstate->listInfo);
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||||
pfree(buildstate->normvec);
|
||||
|
||||
#ifdef IVFFLAT_KMEANS_DEBUG
|
||||
pfree(buildstate->listSums);
|
||||
pfree(buildstate->listCounts);
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||||
#endif
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||||
}
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||||
|
||||
/*
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||||
@@ -468,6 +473,51 @@ CreateListPages(Relation index, VectorArray centers, int dimensions,
|
||||
pfree(list);
|
||||
}
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||||
|
||||
/*
|
||||
* Print k-means metrics
|
||||
*/
|
||||
#ifdef IVFFLAT_KMEANS_DEBUG
|
||||
static void
|
||||
PrintKmeansMetrics(IvfflatBuildState * buildstate)
|
||||
{
|
||||
elog(INFO, "inertia: %.3e", buildstate->inertia);
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||||
|
||||
/* Calculate Davies-Bouldin index */
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||||
if (buildstate->lists > 1)
|
||||
{
|
||||
double db = 0.0;
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||||
|
||||
/* Calculate average distance */
|
||||
for (int i = 0; i < buildstate->lists; i++)
|
||||
{
|
||||
if (buildstate->listCounts[i] > 0)
|
||||
buildstate->listSums[i] /= buildstate->listCounts[i];
|
||||
}
|
||||
|
||||
for (int i = 0; i < buildstate->lists; i++)
|
||||
{
|
||||
double max = 0.0;
|
||||
double distance;
|
||||
|
||||
for (int j = 0; j < buildstate->lists; j++)
|
||||
{
|
||||
if (j == i)
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||||
continue;
|
||||
|
||||
distance = DatumGetFloat8(FunctionCall2Coll(buildstate->procinfo, buildstate->collation, PointerGetDatum(VectorArrayGet(buildstate->centers, i)), PointerGetDatum(VectorArrayGet(buildstate->centers, j))));
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||||
distance = (buildstate->listSums[i] + buildstate->listSums[j]) / distance;
|
||||
|
||||
if (distance > max)
|
||||
max = distance;
|
||||
}
|
||||
db += max;
|
||||
}
|
||||
db /= buildstate->lists;
|
||||
elog(INFO, "davies-bouldin: %.3f", db);
|
||||
}
|
||||
}
|
||||
#endif
|
||||
|
||||
/*
|
||||
* Create entry pages
|
||||
*/
|
||||
@@ -502,8 +552,14 @@ CreateEntryPages(IvfflatBuildState * buildstate, ForkNumber forkNum)
|
||||
#endif
|
||||
}
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||||
|
||||
/* Sort and insert */
|
||||
/* Sort */
|
||||
tuplesort_performsort(buildstate->sortstate);
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||||
|
||||
#ifdef IVFFLAT_KMEANS_DEBUG
|
||||
PrintKmeansMetrics(buildstate);
|
||||
#endif
|
||||
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||||
/* Insert */
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||||
InsertTuples(buildstate->index, buildstate, forkNum);
|
||||
tuplesort_end(buildstate->sortstate);
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||||
}
|
||||
|
||||
@@ -62,11 +62,6 @@
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||||
#define IvfflatBench(name, code) (code)
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM < 100000
|
||||
#define ItemPointerGetBlockNumberNoCheck ItemPointerGetBlockNumber
|
||||
#define ItemPointerGetOffsetNumberNoCheck ItemPointerGetOffsetNumber
|
||||
#endif
|
||||
|
||||
/* Variables */
|
||||
extern int ivfflat_probes;
|
||||
|
||||
@@ -120,6 +115,12 @@ typedef struct IvfflatBuildState
|
||||
ListInfo *listInfo;
|
||||
Vector *normvec;
|
||||
|
||||
#ifdef IVFFLAT_KMEANS_DEBUG
|
||||
double inertia;
|
||||
double *listSums;
|
||||
int *listCounts;
|
||||
#endif
|
||||
|
||||
/* Sampling */
|
||||
BlockSamplerData bs;
|
||||
ReservoirStateData rstate;
|
||||
@@ -161,16 +162,33 @@ typedef IvfflatListData * IvfflatList;
|
||||
|
||||
typedef struct IvfflatScanList
|
||||
{
|
||||
pairingheap_node ph_node;
|
||||
BlockNumber startPage;
|
||||
double distance;
|
||||
} IvfflatScanList;
|
||||
|
||||
typedef struct IvfflatScanItem
|
||||
{
|
||||
pairingheap_node ph_node;
|
||||
BlockNumber searchPage;
|
||||
double distance;
|
||||
ItemPointerData tid;
|
||||
} IvfflatScanItem;
|
||||
|
||||
typedef struct IvfflatScanOpaqueData
|
||||
{
|
||||
int probes;
|
||||
bool first;
|
||||
int stage;
|
||||
Buffer buf;
|
||||
|
||||
/* Items */
|
||||
int maxItems;
|
||||
int itemCount;
|
||||
pairingheap *itemQueue;
|
||||
IvfflatScanItem *items;
|
||||
IvfflatScanItem **sortedItems;
|
||||
bool heapFull;
|
||||
|
||||
/* Sorting */
|
||||
Tuplesortstate *sortstate;
|
||||
TupleDesc tupdesc;
|
||||
@@ -182,6 +200,9 @@ typedef struct IvfflatScanOpaqueData
|
||||
FmgrInfo *normprocinfo;
|
||||
Oid collation;
|
||||
|
||||
/* Lists */
|
||||
pairingheap *listQueue;
|
||||
IvfflatScanList **sortedLists;
|
||||
IvfflatScanList lists[FLEXIBLE_ARRAY_MEMBER]; /* must come last */
|
||||
} IvfflatScanOpaqueData;
|
||||
|
||||
|
||||
377
src/ivfscan.c
377
src/ivfscan.c
@@ -1,5 +1,7 @@
|
||||
#include "postgres.h"
|
||||
|
||||
#include <float.h>
|
||||
|
||||
#include "access/relscan.h"
|
||||
#include "ivfflat.h"
|
||||
#include "miscadmin.h"
|
||||
@@ -17,19 +19,32 @@
|
||||
* Compare list distances
|
||||
*/
|
||||
static int
|
||||
CompareLists(const void *a, const void *b)
|
||||
CompareLists(const pairingheap_node *a, const pairingheap_node *b, void *arg)
|
||||
{
|
||||
double diff = (((IvfflatScanList *) a)->distance - ((IvfflatScanList *) b)->distance);
|
||||
|
||||
if (diff > 0)
|
||||
if (((const IvfflatScanList *) a)->distance > ((const IvfflatScanList *) b)->distance)
|
||||
return 1;
|
||||
|
||||
if (diff < 0)
|
||||
if (((const IvfflatScanList *) a)->distance < ((const IvfflatScanList *) b)->distance)
|
||||
return -1;
|
||||
|
||||
return 0;
|
||||
}
|
||||
|
||||
/*
|
||||
* Compare item distances
|
||||
*/
|
||||
static int
|
||||
CompareItems(const pairingheap_node *a, const pairingheap_node *b, void *arg)
|
||||
{
|
||||
if (((const IvfflatScanItem *) a)->distance > ((const IvfflatScanItem *) b)->distance)
|
||||
return 1;
|
||||
|
||||
if (((const IvfflatScanItem *) a)->distance < ((const IvfflatScanItem *) b)->distance)
|
||||
return -1;
|
||||
|
||||
return ItemPointerCompare(&((IvfflatScanItem *) a)->tid, &((IvfflatScanItem *) b)->tid);
|
||||
}
|
||||
|
||||
/*
|
||||
* Get lists and sort by distance
|
||||
*/
|
||||
@@ -44,7 +59,10 @@ GetScanLists(IndexScanDesc scan, Datum value)
|
||||
BlockNumber nextblkno = IVFFLAT_HEAD_BLKNO;
|
||||
int listCount = 0;
|
||||
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
|
||||
int i;
|
||||
double distance;
|
||||
IvfflatScanList *scanlist;
|
||||
double maxDistance = DBL_MAX;
|
||||
|
||||
/* Search all list pages */
|
||||
while (BlockNumberIsValid(nextblkno))
|
||||
@@ -62,9 +80,33 @@ GetScanLists(IndexScanDesc scan, Datum value)
|
||||
/* Use procinfo from the index instead of scan key for performance */
|
||||
distance = DatumGetFloat8(FunctionCall2Coll(so->procinfo, so->collation, PointerGetDatum(&list->center), value));
|
||||
|
||||
so->lists[listCount].startPage = list->startPage;
|
||||
so->lists[listCount].distance = distance;
|
||||
listCount++;
|
||||
if (listCount < so->probes)
|
||||
{
|
||||
scanlist = &so->lists[listCount];
|
||||
scanlist->startPage = list->startPage;
|
||||
scanlist->distance = distance;
|
||||
listCount++;
|
||||
|
||||
/* Add to heap */
|
||||
pairingheap_add(so->listQueue, &scanlist->ph_node);
|
||||
|
||||
/* Calculate max distance */
|
||||
if (listCount == so->probes)
|
||||
maxDistance = ((IvfflatScanList *) pairingheap_first(so->listQueue))->distance;
|
||||
}
|
||||
else if (distance < maxDistance)
|
||||
{
|
||||
/* Remove */
|
||||
scanlist = (IvfflatScanList *) pairingheap_remove_first(so->listQueue);
|
||||
|
||||
/* Reuse */
|
||||
scanlist->startPage = list->startPage;
|
||||
scanlist->distance = distance;
|
||||
pairingheap_add(so->listQueue, &scanlist->ph_node);
|
||||
|
||||
/* Update max distance */
|
||||
maxDistance = ((IvfflatScanList *) pairingheap_first(so->listQueue))->distance;
|
||||
}
|
||||
}
|
||||
|
||||
nextblkno = IvfflatPageGetOpaque(cpage)->nextblkno;
|
||||
@@ -72,12 +114,139 @@ GetScanLists(IndexScanDesc scan, Datum value)
|
||||
UnlockReleaseBuffer(cbuf);
|
||||
}
|
||||
|
||||
/* Sort by distance */
|
||||
/* TODO Use heap for performance */
|
||||
qsort(so->lists, listCount, sizeof(IvfflatScanList), CompareLists);
|
||||
for (i = 0; i < so->probes; i++)
|
||||
so->sortedLists[i] = (IvfflatScanList *) pairingheap_remove_first(so->listQueue);
|
||||
|
||||
if (so->probes > listCount)
|
||||
so->probes = listCount;
|
||||
Assert(pairingheap_is_empty(so->listQueue));
|
||||
}
|
||||
|
||||
/*
|
||||
* Get items
|
||||
*/
|
||||
static void
|
||||
GetScanItemsQuick(IndexScanDesc scan, Datum value)
|
||||
{
|
||||
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
|
||||
Buffer buf;
|
||||
Page page;
|
||||
IndexTuple itup;
|
||||
BlockNumber searchPage;
|
||||
OffsetNumber offno;
|
||||
OffsetNumber maxoffno;
|
||||
Datum datum;
|
||||
bool isnull;
|
||||
TupleDesc tupdesc = RelationGetDescr(scan->indexRelation);
|
||||
int i;
|
||||
double distance;
|
||||
IvfflatScanItem *scanitem;
|
||||
double maxDistance = DBL_MAX;
|
||||
|
||||
/*
|
||||
* Reuse same set of shared buffers for scan
|
||||
*
|
||||
* See postgres/src/backend/storage/buffer/README for description
|
||||
*/
|
||||
BufferAccessStrategy bas = GetAccessStrategy(BAS_BULKREAD);
|
||||
|
||||
/* Search closest probes lists */
|
||||
for (i = 0; i < so->probes; i++)
|
||||
{
|
||||
/* Read closest lists first for performance */
|
||||
searchPage = so->sortedLists[i]->startPage;
|
||||
|
||||
/* Search all entry pages for list */
|
||||
while (BlockNumberIsValid(searchPage))
|
||||
{
|
||||
buf = ReadBufferExtended(scan->indexRelation, MAIN_FORKNUM, searchPage, RBM_NORMAL, bas);
|
||||
LockBuffer(buf, BUFFER_LOCK_SHARE);
|
||||
page = BufferGetPage(buf);
|
||||
maxoffno = PageGetMaxOffsetNumber(page);
|
||||
|
||||
for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
|
||||
{
|
||||
itup = (IndexTuple) PageGetItem(page, PageGetItemId(page, offno));
|
||||
datum = index_getattr(itup, 1, tupdesc, &isnull);
|
||||
distance = DatumGetFloat8(FunctionCall2Coll(so->procinfo, so->collation, datum, value));
|
||||
|
||||
if (so->itemCount < so->maxItems)
|
||||
{
|
||||
scanitem = &so->items[so->itemCount];
|
||||
scanitem->searchPage = searchPage;
|
||||
scanitem->tid = itup->t_tid;
|
||||
scanitem->distance = distance;
|
||||
so->itemCount++;
|
||||
|
||||
/* Add to heap */
|
||||
pairingheap_add(so->itemQueue, &scanitem->ph_node);
|
||||
|
||||
/* Calculate max distance */
|
||||
if (so->itemCount == so->maxItems)
|
||||
{
|
||||
maxDistance = ((IvfflatScanItem *) pairingheap_first(so->itemQueue))->distance;
|
||||
scanitem = &so->items[so->itemCount];
|
||||
}
|
||||
}
|
||||
else if (distance <= maxDistance)
|
||||
{
|
||||
/* Reuse */
|
||||
scanitem->searchPage = searchPage;
|
||||
scanitem->tid = itup->t_tid;
|
||||
scanitem->distance = distance;
|
||||
pairingheap_add(so->itemQueue, &scanitem->ph_node);
|
||||
|
||||
/* Remove */
|
||||
scanitem = (IvfflatScanItem *) pairingheap_remove_first(so->itemQueue);
|
||||
|
||||
/* Update max distance */
|
||||
maxDistance = ((IvfflatScanItem *) pairingheap_first(so->itemQueue))->distance;
|
||||
}
|
||||
}
|
||||
|
||||
searchPage = IvfflatPageGetOpaque(page)->nextblkno;
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
}
|
||||
|
||||
for (i = 0; i < so->itemCount; i++)
|
||||
so->sortedItems[i] = (IvfflatScanItem *) pairingheap_remove_first(so->itemQueue);
|
||||
|
||||
Assert(pairingheap_is_empty(so->itemQueue));
|
||||
}
|
||||
|
||||
/*
|
||||
* Initialize sort
|
||||
*/
|
||||
static void
|
||||
InitSort(IvfflatScanOpaque so)
|
||||
{
|
||||
AttrNumber attNums[] = {1, 2};
|
||||
Oid sortOperators[] = {Float8LessOperator, TIDLessOperator};
|
||||
Oid sortCollations[] = {InvalidOid, InvalidOid};
|
||||
bool nullsFirstFlags[] = {false, false};
|
||||
|
||||
/* Create tuple description for sorting */
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
so->tupdesc = CreateTemplateTupleDesc(3);
|
||||
#else
|
||||
so->tupdesc = CreateTemplateTupleDesc(3, false);
|
||||
#endif
|
||||
TupleDescInitEntry(so->tupdesc, (AttrNumber) 1, "distance", FLOAT8OID, -1, 0);
|
||||
TupleDescInitEntry(so->tupdesc, (AttrNumber) 2, "tid", TIDOID, -1, 0);
|
||||
TupleDescInitEntry(so->tupdesc, (AttrNumber) 3, "indexblkno", INT4OID, -1, 0);
|
||||
|
||||
/* Prep sort */
|
||||
#if PG_VERSION_NUM >= 110000
|
||||
so->sortstate = tuplesort_begin_heap(so->tupdesc, sizeof(attNums) / sizeof(attNums[0]), attNums, sortOperators, sortCollations, nullsFirstFlags, work_mem, NULL, false);
|
||||
#else
|
||||
so->sortstate = tuplesort_begin_heap(so->tupdesc, sizeof(attNums) / sizeof(attNums[0]), attNums, sortOperators, sortCollations, nullsFirstFlags, work_mem, false);
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
so->slot = MakeSingleTupleTableSlot(so->tupdesc, &TTSOpsMinimalTuple);
|
||||
#else
|
||||
so->slot = MakeSingleTupleTableSlot(so->tupdesc);
|
||||
#endif
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -95,8 +264,8 @@ GetScanItems(IndexScanDesc scan, Datum value)
|
||||
OffsetNumber maxoffno;
|
||||
Datum datum;
|
||||
bool isnull;
|
||||
int i;
|
||||
TupleDesc tupdesc = RelationGetDescr(scan->indexRelation);
|
||||
int i;
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
TupleTableSlot *slot = MakeSingleTupleTableSlot(so->tupdesc, &TTSOpsVirtual);
|
||||
@@ -114,7 +283,7 @@ GetScanItems(IndexScanDesc scan, Datum value)
|
||||
/* Search closest probes lists */
|
||||
for (i = 0; i < so->probes; i++)
|
||||
{
|
||||
searchPage = so->lists[i].startPage;
|
||||
searchPage = so->sortedLists[i]->startPage;
|
||||
|
||||
/* Search all entry pages for list */
|
||||
while (BlockNumberIsValid(searchPage))
|
||||
@@ -138,12 +307,10 @@ GetScanItems(IndexScanDesc scan, Datum value)
|
||||
ExecClearTuple(slot);
|
||||
slot->tts_values[0] = FunctionCall2Coll(so->procinfo, so->collation, datum, value);
|
||||
slot->tts_isnull[0] = false;
|
||||
slot->tts_values[1] = Int32GetDatum((int) ItemPointerGetBlockNumberNoCheck(&itup->t_tid));
|
||||
slot->tts_values[1] = PointerGetDatum(&itup->t_tid);
|
||||
slot->tts_isnull[1] = false;
|
||||
slot->tts_values[2] = Int32GetDatum((int) ItemPointerGetOffsetNumberNoCheck(&itup->t_tid));
|
||||
slot->tts_values[2] = Int32GetDatum((int) searchPage);
|
||||
slot->tts_isnull[2] = false;
|
||||
slot->tts_values[3] = Int32GetDatum((int) searchPage);
|
||||
slot->tts_isnull[3] = false;
|
||||
ExecStoreVirtualTuple(slot);
|
||||
|
||||
tuplesort_puttupleslot(so->sortstate, slot);
|
||||
@@ -156,6 +323,7 @@ GetScanItems(IndexScanDesc scan, Datum value)
|
||||
}
|
||||
|
||||
tuplesort_performsort(so->sortstate);
|
||||
tuplesort_skiptuples(so->sortstate, so->maxItems, true);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -164,49 +332,34 @@ GetScanItems(IndexScanDesc scan, Datum value)
|
||||
IndexScanDesc
|
||||
ivfflatbeginscan(Relation index, int nkeys, int norderbys)
|
||||
{
|
||||
IndexScanDesc scan;
|
||||
IndexScanDesc scan = RelationGetIndexScan(index, nkeys, norderbys);
|
||||
int lists = IvfflatGetLists(scan->indexRelation);
|
||||
int probes = ivfflat_probes;
|
||||
IvfflatScanOpaque so;
|
||||
int lists;
|
||||
AttrNumber attNums[] = {1};
|
||||
Oid sortOperators[] = {Float8LessOperator};
|
||||
Oid sortCollations[] = {InvalidOid};
|
||||
bool nullsFirstFlags[] = {false};
|
||||
|
||||
scan = RelationGetIndexScan(index, nkeys, norderbys);
|
||||
lists = IvfflatGetLists(scan->indexRelation);
|
||||
if (probes > lists)
|
||||
probes = lists;
|
||||
|
||||
so = (IvfflatScanOpaque) palloc(offsetof(IvfflatScanOpaqueData, lists) + lists * sizeof(IvfflatScanList));
|
||||
so = (IvfflatScanOpaque) palloc(offsetof(IvfflatScanOpaqueData, lists) + probes * sizeof(IvfflatScanList));
|
||||
so->buf = InvalidBuffer;
|
||||
so->first = true;
|
||||
so->stage = 0;
|
||||
so->probes = probes;
|
||||
|
||||
/* Set support functions */
|
||||
so->procinfo = index_getprocinfo(index, 1, IVFFLAT_DISTANCE_PROC);
|
||||
so->normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC);
|
||||
so->collation = index->rd_indcollation[0];
|
||||
|
||||
/* Create tuple description for sorting */
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
so->tupdesc = CreateTemplateTupleDesc(4);
|
||||
#else
|
||||
so->tupdesc = CreateTemplateTupleDesc(4, false);
|
||||
#endif
|
||||
TupleDescInitEntry(so->tupdesc, (AttrNumber) 1, "distance", FLOAT8OID, -1, 0);
|
||||
TupleDescInitEntry(so->tupdesc, (AttrNumber) 2, "blkno", INT4OID, -1, 0);
|
||||
TupleDescInitEntry(so->tupdesc, (AttrNumber) 3, "offset", INT4OID, -1, 0);
|
||||
TupleDescInitEntry(so->tupdesc, (AttrNumber) 4, "indexblkno", INT4OID, -1, 0);
|
||||
so->listQueue = pairingheap_allocate(CompareLists, scan);
|
||||
so->sortedLists = palloc(sizeof(IvfflatScanItem *) * probes);
|
||||
|
||||
/* Prep sort */
|
||||
#if PG_VERSION_NUM >= 110000
|
||||
so->sortstate = tuplesort_begin_heap(so->tupdesc, 1, attNums, sortOperators, sortCollations, nullsFirstFlags, work_mem, NULL, false);
|
||||
#else
|
||||
so->sortstate = tuplesort_begin_heap(so->tupdesc, 1, attNums, sortOperators, sortCollations, nullsFirstFlags, work_mem, false);
|
||||
#endif
|
||||
so->maxItems = 1024;
|
||||
so->itemCount = 0;
|
||||
so->itemQueue = pairingheap_allocate(CompareItems, scan);
|
||||
so->items = palloc(sizeof(IvfflatScanItem) * (so->maxItems + 1));
|
||||
so->sortedItems = palloc(sizeof(IvfflatScanItem *) * so->maxItems);
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
so->slot = MakeSingleTupleTableSlot(so->tupdesc, &TTSOpsMinimalTuple);
|
||||
#else
|
||||
so->slot = MakeSingleTupleTableSlot(so->tupdesc);
|
||||
#endif
|
||||
so->sortstate = NULL;
|
||||
|
||||
scan->opaque = so;
|
||||
|
||||
@@ -222,12 +375,14 @@ ivfflatrescan(IndexScanDesc scan, ScanKey keys, int nkeys, ScanKey orderbys, int
|
||||
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
|
||||
|
||||
#if PG_VERSION_NUM >= 130000
|
||||
if (!so->first)
|
||||
if (so->sortstate != NULL)
|
||||
tuplesort_reset(so->sortstate);
|
||||
#endif
|
||||
|
||||
so->first = true;
|
||||
so->probes = ivfflat_probes;
|
||||
so->stage = 0;
|
||||
pairingheap_reset(so->listQueue);
|
||||
pairingheap_reset(so->itemQueue);
|
||||
so->itemCount = 0;
|
||||
|
||||
if (keys && scan->numberOfKeys > 0)
|
||||
memmove(scan->keyData, keys, scan->numberOfKeys * sizeof(ScanKeyData));
|
||||
@@ -250,7 +405,7 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
*/
|
||||
Assert(ScanDirectionIsForward(dir));
|
||||
|
||||
if (so->first)
|
||||
if (so->stage == 0)
|
||||
{
|
||||
Datum value;
|
||||
|
||||
@@ -272,43 +427,101 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
}
|
||||
|
||||
IvfflatBench("GetScanLists", GetScanLists(scan, value));
|
||||
IvfflatBench("GetScanItems", GetScanItems(scan, value));
|
||||
so->first = false;
|
||||
IvfflatBench("GetScanItemsQuick", GetScanItemsQuick(scan, value));
|
||||
so->heapFull = so->itemCount == so->maxItems;
|
||||
so->stage++;
|
||||
|
||||
/* Clean up if we allocated a new value */
|
||||
if (value != scan->orderByData->sk_argument)
|
||||
pfree(DatumGetPointer(value));
|
||||
}
|
||||
|
||||
#if PG_VERSION_NUM >= 100000
|
||||
if (tuplesort_gettupleslot(so->sortstate, true, false, so->slot, NULL))
|
||||
#else
|
||||
if (tuplesort_gettupleslot(so->sortstate, true, so->slot, NULL))
|
||||
#endif
|
||||
if (so->stage == 1)
|
||||
{
|
||||
BlockNumber blkno = DatumGetInt32(slot_getattr(so->slot, 2, &so->isnull));
|
||||
OffsetNumber offset = DatumGetInt32(slot_getattr(so->slot, 3, &so->isnull));
|
||||
BlockNumber indexblkno = DatumGetInt32(slot_getattr(so->slot, 4, &so->isnull));
|
||||
if (so->itemCount > 0)
|
||||
{
|
||||
IvfflatScanItem *scanitem;
|
||||
|
||||
so->itemCount--;
|
||||
|
||||
scanitem = so->sortedItems[so->itemCount];
|
||||
|
||||
#if PG_VERSION_NUM >= 120000
|
||||
ItemPointerSet(&scan->xs_heaptid, blkno, offset);
|
||||
scan->xs_heaptid = scanitem->tid;
|
||||
#else
|
||||
ItemPointerSet(&scan->xs_ctup.t_self, blkno, offset);
|
||||
scan->xs_ctup.t_sef = scanitem->tid;
|
||||
#endif
|
||||
|
||||
if (BufferIsValid(so->buf))
|
||||
ReleaseBuffer(so->buf);
|
||||
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);
|
||||
/*
|
||||
* 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, scanitem->searchPage);
|
||||
|
||||
scan->xs_recheckorderby = false;
|
||||
return true;
|
||||
scan->xs_recheckorderby = false;
|
||||
return true;
|
||||
}
|
||||
else if (so->heapFull)
|
||||
{
|
||||
Datum value = scan->orderByData->sk_argument;
|
||||
|
||||
if (so->normprocinfo != NULL)
|
||||
{
|
||||
/* No items will match if normalization fails */
|
||||
if (!IvfflatNormValue(so->normprocinfo, so->collation, &value, NULL))
|
||||
return false;
|
||||
}
|
||||
|
||||
if (so->sortstate == NULL)
|
||||
InitSort(so);
|
||||
|
||||
IvfflatBench("GetScanItems", GetScanItems(scan, value));
|
||||
so->stage++;
|
||||
|
||||
/* Clean up if we allocated a new value */
|
||||
if (value != scan->orderByData->sk_argument)
|
||||
pfree(DatumGetPointer(value));
|
||||
}
|
||||
else
|
||||
so->stage = 3;
|
||||
}
|
||||
|
||||
if (so->stage == 2)
|
||||
{
|
||||
#if PG_VERSION_NUM >= 100000
|
||||
if (tuplesort_gettupleslot(so->sortstate, true, false, so->slot, NULL))
|
||||
#else
|
||||
if (tuplesort_gettupleslot(so->sortstate, true, so->slot, NULL))
|
||||
#endif
|
||||
{
|
||||
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
|
||||
scan->xs_heaptid = *tid;
|
||||
#else
|
||||
scan->xs_ctup.t_self = *tid;
|
||||
#endif
|
||||
|
||||
if (BufferIsValid(so->buf))
|
||||
ReleaseBuffer(so->buf);
|
||||
|
||||
/*
|
||||
* An index scan must maintain a pin on the index page holding the
|
||||
* item last returned by amgettuple
|
||||
*
|
||||
* https://www.postgresql.org/docs/current/index-locking.html
|
||||
*/
|
||||
so->buf = ReadBuffer(scan->indexRelation, indexblkno);
|
||||
|
||||
scan->xs_recheckorderby = false;
|
||||
return true;
|
||||
}
|
||||
}
|
||||
|
||||
return false;
|
||||
@@ -326,7 +539,15 @@ ivfflatendscan(IndexScanDesc scan)
|
||||
if (BufferIsValid(so->buf))
|
||||
ReleaseBuffer(so->buf);
|
||||
|
||||
tuplesort_end(so->sortstate);
|
||||
pairingheap_free(so->listQueue);
|
||||
pfree(so->sortedLists);
|
||||
|
||||
if (so->sortstate != NULL)
|
||||
tuplesort_end(so->sortstate);
|
||||
|
||||
pairingheap_free(so->itemQueue);
|
||||
pfree(so->items);
|
||||
pfree(so->sortedItems);
|
||||
|
||||
pfree(so);
|
||||
scan->opaque = NULL;
|
||||
|
||||
@@ -13,7 +13,7 @@ $node->start;
|
||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector(3));");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i%10, ARRAY[i%1000, i%333, i%55] FROM generate_series(1, 100000) i;"
|
||||
"INSERT INTO tst SELECT i % 10, ARRAY[i % 1000, i % 333, i % 55] FROM generate_series(1, 100000) i;"
|
||||
);
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v);");
|
||||
|
||||
@@ -24,7 +24,7 @@ my $size = $node->safe_psql("postgres", "SELECT pg_total_relation_size('tst_v_id
|
||||
$node->safe_psql("postgres", "DELETE FROM tst;");
|
||||
$node->safe_psql("postgres", "VACUUM tst;");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i % 10, ARRAY[i % 1000, i % 333, i % 55] FROM generate_series(1, 100000) i;"
|
||||
"INSERT INTO tst SELECT i % 10, ARRAY[i % 1000, i % 333, i % 55] FROM generate_series(1, 100000) i;"
|
||||
);
|
||||
|
||||
# Check size
|
||||
|
||||
@@ -2,15 +2,16 @@ use strict;
|
||||
use warnings;
|
||||
use PostgresNode;
|
||||
use TestLib;
|
||||
use Test::More tests => 2;
|
||||
use Test::More tests => 9;
|
||||
|
||||
my $node;
|
||||
my @queries = ();
|
||||
my @expected = ();
|
||||
my @expected;
|
||||
my $limit = 20;
|
||||
|
||||
sub test_recall
|
||||
{
|
||||
my ($probes, $min) = @_;
|
||||
my ($probes, $min, $operator) = @_;
|
||||
my $correct = 0;
|
||||
my $total = 0;
|
||||
|
||||
@@ -18,7 +19,7 @@ sub test_recall
|
||||
my $actual = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET ivfflat.probes = $probes;
|
||||
SELECT i FROM tst ORDER BY v <-> '$queries[$i]' LIMIT 10;
|
||||
SELECT i FROM tst ORDER BY v $operator '$queries[$i]' LIMIT $limit;
|
||||
));
|
||||
my @actual_ids = split("\n", $actual);
|
||||
my %actual_set = map { $_ => 1 } @actual_ids;
|
||||
@@ -33,7 +34,7 @@ sub test_recall
|
||||
}
|
||||
}
|
||||
|
||||
cmp_ok($correct / $total, ">=", $min);
|
||||
cmp_ok($correct / $total, ">=", $min, $operator);
|
||||
}
|
||||
|
||||
# Initialize node
|
||||
@@ -56,17 +57,32 @@ for (1..20) {
|
||||
push(@queries, "[$r1,$r2,$r3]");
|
||||
}
|
||||
|
||||
# Get exact results
|
||||
foreach (@queries) {
|
||||
my $res = $node->safe_psql("postgres", "SELECT i FROM tst ORDER BY v <-> '$_' LIMIT 10;");
|
||||
push(@expected, $res);
|
||||
# Check each index type
|
||||
my @operators = ("<->", "<#>", "<=>");
|
||||
|
||||
foreach (@operators) {
|
||||
my $operator = $_;
|
||||
|
||||
# Get exact results
|
||||
@expected = ();
|
||||
foreach (@queries) {
|
||||
my $res = $node->safe_psql("postgres", "SELECT i FROM tst ORDER BY v $operator '$_' LIMIT $limit;");
|
||||
push(@expected, $res);
|
||||
}
|
||||
|
||||
# Add index
|
||||
my $opclass;
|
||||
if ($operator == "<->") {
|
||||
$opclass = "vector_l2_ops";
|
||||
} elsif ($operator == "<#>") {
|
||||
$opclass = "vector_ip_ops";
|
||||
} else {
|
||||
$opclass = "vector_cosine_ops";
|
||||
}
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v $opclass);");
|
||||
|
||||
# Test approximate results
|
||||
test_recall(1, 0.75, $operator);
|
||||
test_recall(10, 0.95, $operator);
|
||||
test_recall(100, 1.0, $operator);
|
||||
}
|
||||
|
||||
# Add index
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v);");
|
||||
|
||||
# Test approximate results
|
||||
test_recall(1, 0.8);
|
||||
|
||||
# Test probes
|
||||
test_recall(100, 1.0);
|
||||
|
||||
36
test/t/004_centers.pl
Normal file
36
test/t/004_centers.pl
Normal file
@@ -0,0 +1,36 @@
|
||||
use strict;
|
||||
use warnings;
|
||||
use PostgresNode;
|
||||
use TestLib;
|
||||
use Test::More tests => 3;
|
||||
|
||||
# Initialize node
|
||||
my $node = get_new_node('node');
|
||||
$node->init;
|
||||
$node->start;
|
||||
|
||||
# Create table
|
||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector(3));");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, '[1,2,3]' FROM generate_series(1, 10) i;"
|
||||
);
|
||||
|
||||
sub test_centers
|
||||
{
|
||||
my ($lists, $min) = @_;
|
||||
|
||||
my ($ret, $stdout, $stderr) = $node->psql("postgres", "CREATE INDEX ON tst USING ivfflat (v) WITH (lists = $lists);");
|
||||
is($ret, 0, $stderr);
|
||||
}
|
||||
|
||||
# Test no error for duplicate centers
|
||||
test_centers(5);
|
||||
test_centers(10);
|
||||
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, '[4,5,6]' FROM generate_series(1, 10) i;"
|
||||
);
|
||||
|
||||
# Test no error for duplicate centers
|
||||
test_centers(10);
|
||||
45
test/t/005_query_recall.pl
Normal file
45
test/t/005_query_recall.pl
Normal file
@@ -0,0 +1,45 @@
|
||||
use strict;
|
||||
use warnings;
|
||||
use PostgresNode;
|
||||
use TestLib;
|
||||
use Test::More tests => 60;
|
||||
|
||||
# Initialize node
|
||||
my $node = get_new_node('node');
|
||||
$node->init;
|
||||
$node->start;
|
||||
|
||||
# Create table
|
||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (i int4 primary key, v vector(3));");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[random(), random(), random()] FROM generate_series(1, 100000) i;"
|
||||
);
|
||||
|
||||
# Check each index type
|
||||
my @operators = ("<->", "<#>", "<=>");
|
||||
foreach (@operators) {
|
||||
my $operator = $_;
|
||||
|
||||
# Add index
|
||||
my $opclass;
|
||||
if ($operator == "<->") {
|
||||
$opclass = "vector_l2_ops";
|
||||
} elsif ($operator == "<#>") {
|
||||
$opclass = "vector_ip_ops";
|
||||
} else {
|
||||
$opclass = "vector_cosine_ops";
|
||||
}
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v $opclass);");
|
||||
|
||||
# Test 100% recall
|
||||
for (1..20) {
|
||||
my $i = int(rand() * 100000);
|
||||
my $query = $node->safe_psql("postgres", "SELECT v FROM tst WHERE i = $i;");
|
||||
my $res = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SELECT v FROM tst ORDER BY v <-> '$query' LIMIT 1;
|
||||
));
|
||||
is($res, $query);
|
||||
}
|
||||
}
|
||||
31
test/t/006_lists.pl
Normal file
31
test/t/006_lists.pl
Normal file
@@ -0,0 +1,31 @@
|
||||
use strict;
|
||||
use warnings;
|
||||
use PostgresNode;
|
||||
use TestLib;
|
||||
use Test::More tests => 3;
|
||||
|
||||
# Initialize node
|
||||
my $node = get_new_node('node');
|
||||
$node->init;
|
||||
$node->start;
|
||||
|
||||
# Create table
|
||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (v vector(3));");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT ARRAY[random(), random(), random()] FROM generate_series(1, 100000) i;"
|
||||
);
|
||||
|
||||
$node->safe_psql("postgres", "CREATE INDEX lists50 ON tst USING ivfflat (v) WITH (lists = 50);");
|
||||
$node->safe_psql("postgres", "CREATE INDEX lists100 ON tst USING ivfflat (v) WITH (lists = 100);");
|
||||
|
||||
# Test prefers more lists
|
||||
my $res = $node->safe_psql("postgres", "EXPLAIN SELECT v FROM tst ORDER BY v <-> '[0.5,0.5,0.5]' LIMIT 10;");
|
||||
like($res, qr/lists100/);
|
||||
unlike($res, qr/lists50/);
|
||||
|
||||
# Test errors with too much memory
|
||||
my ($ret, $stdout, $stderr) = $node->psql("postgres",
|
||||
"CREATE INDEX lists10000 ON tst USING ivfflat (v) WITH (lists = 10000);"
|
||||
);
|
||||
like($stderr, qr/memory required is/);
|
||||
38
test/t/007_stages.pl
Normal file
38
test/t/007_stages.pl
Normal file
@@ -0,0 +1,38 @@
|
||||
use strict;
|
||||
use warnings;
|
||||
use PostgresNode;
|
||||
use TestLib;
|
||||
use Test::More tests => 2;
|
||||
|
||||
# Initialize node
|
||||
my $node = get_new_node('node');
|
||||
$node->init;
|
||||
$node->start;
|
||||
|
||||
# Create table
|
||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector(3));");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[i % 1000, i % 1000, i % 1000] FROM generate_series(1, 10000) i;"
|
||||
);
|
||||
|
||||
my @limits = (128, 2048);
|
||||
my @expected = ();
|
||||
|
||||
foreach (@limits) {
|
||||
my $res = $node->safe_psql("postgres", "SELECT i, v FROM tst ORDER BY v <-> '[0,0,0]', i LIMIT $_;");
|
||||
push(@expected, $res);
|
||||
}
|
||||
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v) WITH (lists = 5);");
|
||||
|
||||
for my $i (0 .. $#limits) {
|
||||
my $res = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET ivfflat.probes = 5;
|
||||
WITH tmp AS (
|
||||
SELECT *, v <-> '[0,0,0]' AS d FROM tst ORDER BY v <-> '[0,0,0]' LIMIT $limits[$i]
|
||||
) SELECT i, v FROM tmp ORDER BY d, i;
|
||||
));
|
||||
is($res, $expected[$i]);
|
||||
}
|
||||
Reference in New Issue
Block a user