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v0.5.0
...
hnsw-index
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a8e257e1f1 |
@@ -1,13 +1,13 @@
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## 0.5.0 (2023-08-28)
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- Added HNSW index type
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- Added support for parallel index builds
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- Added support for parallel index builds for IVFFlat
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- Added `l1_distance` function
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- Added element-wise multiplication for vectors
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- Added `sum` aggregate
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- Improved performance of distance functions
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- Fixed out of range results for cosine distance
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- Fixed results for NULL and NaN distances
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- Fixed results for NULL and NaN distances for IVFFlat
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## 0.4.4 (2023-06-12)
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@@ -162,7 +162,7 @@ You can add an index to use approximate nearest neighbor search, which trades so
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Supported index types are:
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- [IVFFlat](#ivfflat)
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- [HNSW](#hnsw) - *added in 0.5.0*
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- [HNSW](#hnsw) - added in 0.5.0
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## IVFFlat
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@@ -282,8 +282,8 @@ SELECT phase, tuples_done, tuples_total FROM pg_stat_progress_create_index;
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The phases are:
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1. `initializing`
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2. `performing k-means` (IVFFlat only)
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3. `assigning tuples` (IVFFlat only)
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2. `performing k-means` - IVFFlat only
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3. `assigning tuples` - IVFFlat only
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4. `loading tuples`
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Note: `tuples_done` and `tuples_total` are only populated during the `loading tuples` phase
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11
src/hnsw.c
11
src/hnsw.c
@@ -155,6 +155,15 @@ hnswvalidate(Oid opclassoid)
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return true;
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}
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/*
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* Checks if index-only scan is supported
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*/
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static bool
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hnswcanreturn(Relation indexRelation, int attno)
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{
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return attno == 1 && !OidIsValid(index_getprocid(indexRelation, 1, HNSW_NORM_PROC));
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}
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/*
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* Define index handler
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*
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@@ -196,7 +205,7 @@ hnswhandler(PG_FUNCTION_ARGS)
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amroutine->aminsert = hnswinsert;
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amroutine->ambulkdelete = hnswbulkdelete;
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amroutine->amvacuumcleanup = hnswvacuumcleanup;
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amroutine->amcanreturn = NULL; /* tuple not included in heapsort */
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amroutine->amcanreturn = hnswcanreturn;
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amroutine->amcostestimate = hnswcostestimate;
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amroutine->amoptions = hnswoptions;
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amroutine->amproperty = NULL; /* TODO AMPROP_DISTANCE_ORDERABLE */
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@@ -266,7 +266,7 @@ Buffer HnswNewBuffer(Relation index, ForkNumber forkNum);
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void HnswInitPage(Buffer buf, Page page);
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void HnswInitRegisterPage(Relation index, Buffer *buf, Page *page, GenericXLogState **state);
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void HnswInit(void);
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List *HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, bool inserting, HnswElement skipElement);
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List *HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec, HnswElement skipElement);
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HnswElement HnswGetEntryPoint(Relation index);
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HnswElement HnswInitElement(ItemPointer tid, int m, double ml, int maxLevel);
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void HnswFreeElement(HnswElement element);
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@@ -17,6 +17,7 @@ GetScanItems(IndexScanDesc scan, Datum q)
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Relation index = scan->indexRelation;
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FmgrInfo *procinfo = so->procinfo;
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Oid collation = so->collation;
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bool loadVec = scan->xs_want_itup;
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List *ep;
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List *w;
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HnswElement entryPoint = HnswGetEntryPoint(index);
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@@ -24,15 +25,15 @@ GetScanItems(IndexScanDesc scan, Datum q)
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if (entryPoint == NULL)
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return NIL;
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ep = list_make1(HnswEntryCandidate(entryPoint, q, index, procinfo, collation, false));
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ep = list_make1(HnswEntryCandidate(entryPoint, q, index, procinfo, collation, loadVec));
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for (int lc = entryPoint->level; lc >= 1; lc--)
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{
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w = HnswSearchLayer(q, ep, 1, lc, index, procinfo, collation, false, NULL);
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w = HnswSearchLayer(q, ep, 1, lc, index, procinfo, collation, loadVec, NULL);
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ep = w;
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}
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return HnswSearchLayer(q, ep, hnsw_ef_search, 0, index, procinfo, collation, false, NULL);
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return HnswSearchLayer(q, ep, hnsw_ef_search, 0, index, procinfo, collation, loadVec, NULL);
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}
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/*
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@@ -83,6 +84,9 @@ hnswbeginscan(Relation index, int nkeys, int norderbys)
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scan->opaque = so;
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/* OK to always set since cheap */
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scan->xs_itupdesc = RelationGetDescr(index);
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return scan;
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}
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@@ -165,7 +169,7 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
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ItemPointer tid;
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BlockNumber indexblkno;
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/* Move to next element if no valid heap tids */
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/* Move to next element if no valid heap TIDs */
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if (list_length(hc->element->heaptids) == 0)
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{
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so->w = list_delete_last(so->w);
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@@ -177,6 +181,15 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
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hc->element->heaptids = list_delete_last(hc->element->heaptids);
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if (scan->xs_want_itup)
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{
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Datum value = PointerGetDatum(hc->element->vec);
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bool isnull = false;
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scan->xs_itup = index_form_tuple(scan->xs_itupdesc, &value, &isnull);
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scan->xs_itup->t_tid = *tid;
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}
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MemoryContextSwitchTo(oldCtx);
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#if PG_VERSION_NUM >= 120000
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@@ -185,6 +198,7 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
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scan->xs_ctup.t_self = *tid;
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#endif
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/* Unpin buffer */
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if (BufferIsValid(so->buf))
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ReleaseBuffer(so->buf);
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@@ -543,7 +543,7 @@ AddToVisited(HTAB *v, HnswCandidate * hc, Relation index, bool *found)
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* Algorithm 2 from paper
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*/
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List *
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HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, bool inserting, HnswElement skipElement)
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HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec, HnswElement skipElement)
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{
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ListCell *lc2;
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@@ -619,7 +619,7 @@ HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *pro
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if (index == NULL)
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eDistance = GetCandidateDistance(e, q, procinfo, collation);
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else
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HnswLoadElement(e->element, &eDistance, &q, index, procinfo, collation, inserting);
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HnswLoadElement(e->element, &eDistance, &q, index, procinfo, collation, loadVec);
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Assert(!e->element->deleted);
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@@ -10,8 +10,8 @@
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#include "ivfflat.h"
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#include "miscadmin.h"
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#include "storage/bufmgr.h"
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#include "utils/memutils.h"
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#include "tcop/tcopprot.h"
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#include "utils/memutils.h"
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#if PG_VERSION_NUM >= 140000
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#include "utils/backend_progress.h"
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@@ -343,6 +343,7 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
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scan->xs_ctup.t_self = *tid;
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#endif
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/* Unpin buffer */
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if (BufferIsValid(so->buf))
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ReleaseBuffer(so->buf);
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@@ -695,6 +695,8 @@ vector_spherical_distance(PG_FUNCTION_ARGS)
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{
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Vector *a = PG_GETARG_VECTOR_P(0);
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Vector *b = PG_GETARG_VECTOR_P(1);
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float *ax = a->x;
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float *bx = b->x;
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float dp = 0.0;
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double distance;
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@@ -702,7 +704,7 @@ vector_spherical_distance(PG_FUNCTION_ARGS)
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/* Auto-vectorized */
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for (int i = 0; i < a->dim; i++)
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dp += a->x[i] * b->x[i];
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dp += ax[i] * bx[i];
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distance = (double) dp;
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@@ -106,6 +106,12 @@ SELECT cosine_distance('[1,1]', '[1,1]');
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0
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(1 row)
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SELECT cosine_distance('[1,0]', '[0,2]');
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cosine_distance
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-----------------
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1
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(1 row)
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SELECT cosine_distance('[1,1]', '[-1,-1]');
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cosine_distance
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-----------------
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@@ -25,6 +25,7 @@ SELECT inner_product('[3e38]', '[3e38]');
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SELECT cosine_distance('[1,2]', '[2,4]');
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SELECT cosine_distance('[1,2]', '[0,0]');
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SELECT cosine_distance('[1,1]', '[1,1]');
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SELECT cosine_distance('[1,0]', '[0,2]');
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SELECT cosine_distance('[1,1]', '[-1,-1]');
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SELECT cosine_distance('[1,2]', '[3]');
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SELECT cosine_distance('[1,1]', '[1.1,1.1]');
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@@ -19,8 +19,6 @@ sub test_index_replay
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# Wait for replica to catch up
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my $applname = $node_replica->name;
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my $server_version_num = $node_primary->safe_psql("postgres", "SHOW server_version_num");
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my $caughtup_query = "SELECT pg_current_wal_lsn() <= replay_lsn FROM pg_stat_replication WHERE application_name = '$applname';";
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$node_primary->poll_query_until('postgres', $caughtup_query)
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or die "Timed out while waiting for replica 1 to catch up";
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@@ -94,7 +94,7 @@ for my $i (0 .. $#operators)
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# Test approximate results
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if ($operator ne "<#>")
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{
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# TODO fix test
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# TODO Fix test (uniform random vectors all have similar inner product)
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test_recall(1, 0.71, $operator);
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test_recall(10, 0.95, $operator);
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}
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@@ -115,7 +115,7 @@ for my $i (0 .. $#operators)
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# Test approximate results
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if ($operator ne "<#>")
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{
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# TODO fix test
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# TODO Fix test (uniform random vectors all have similar inner product)
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test_recall(1, 0.71, $operator);
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test_recall(10, 0.95, $operator);
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}
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@@ -19,8 +19,6 @@ sub test_index_replay
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# Wait for replica to catch up
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my $applname = $node_replica->name;
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my $server_version_num = $node_primary->safe_psql("postgres", "SHOW server_version_num");
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my $caughtup_query = "SELECT pg_current_wal_lsn() <= replay_lsn FROM pg_stat_replication WHERE application_name = '$applname';";
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$node_primary->poll_query_until('postgres', $caughtup_query)
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or die "Timed out while waiting for replica 1 to catch up";
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@@ -89,7 +89,7 @@ foreach (@queries)
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test_recall(0.20, $limit, "before vacuum");
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test_recall(0.95, 100, "before vacuum");
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# TODO test concurrent inserts with vacuum
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# TODO Test concurrent inserts with vacuum
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$node->safe_psql("postgres", "VACUUM tst;");
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test_recall(0.95, $limit, "after vacuum");
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117
test/t/017_ivfflat_insert_recall.pl
Normal file
117
test/t/017_ivfflat_insert_recall.pl
Normal file
@@ -0,0 +1,117 @@
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use strict;
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use warnings;
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use PostgresNode;
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use TestLib;
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use Test::More;
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my $node;
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my @queries = ();
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my @expected;
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my $limit = 20;
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sub test_recall
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{
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my ($probes, $min, $operator) = @_;
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my $correct = 0;
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my $total = 0;
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my $explain = $node->safe_psql("postgres", qq(
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SET enable_seqscan = off;
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SET ivfflat.probes = $probes;
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EXPLAIN ANALYZE SELECT i FROM tst ORDER BY v $operator '$queries[0]' LIMIT $limit;
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));
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like($explain, qr/Index Scan using idx on tst/);
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for my $i (0 .. $#queries)
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{
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my $actual = $node->safe_psql("postgres", qq(
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SET enable_seqscan = off;
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SET ivfflat.probes = $probes;
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SELECT i FROM tst ORDER BY v $operator '$queries[$i]' LIMIT $limit;
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));
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my @actual_ids = split("\n", $actual);
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my %actual_set = map { $_ => 1 } @actual_ids;
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|
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my @expected_ids = split("\n", $expected[$i]);
|
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foreach (@expected_ids)
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{
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if (exists($actual_set{$_}))
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{
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$correct++;
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}
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$total++;
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}
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}
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cmp_ok($correct / $total, ">=", $min, $operator);
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}
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# Initialize node
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$node = get_new_node('node');
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$node->init;
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$node->start;
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# Create table
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$node->safe_psql("postgres", "CREATE EXTENSION vector;");
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$node->safe_psql("postgres", "CREATE TABLE tst (i serial, v vector(3));");
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# Generate queries
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for (1 .. 20)
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{
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my $r1 = rand();
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my $r2 = rand();
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my $r3 = rand();
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push(@queries, "[$r1,$r2,$r3]");
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}
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# Check each index type
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my @operators = ("<->", "<#>", "<=>");
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my @opclasses = ("vector_l2_ops", "vector_ip_ops", "vector_cosine_ops");
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for my $i (0 .. $#operators)
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{
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my $operator = $operators[$i];
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my $opclass = $opclasses[$i];
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# Add index
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$node->safe_psql("postgres", "CREATE INDEX idx ON tst USING ivfflat (v $opclass);");
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# Use concurrent inserts
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$node->pgbench(
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"--no-vacuum --client=10 --transactions=1000",
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0,
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[qr{actually processed}],
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[qr{^$}],
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"concurrent INSERTs",
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{
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"017_ivfflat_insert_recall_$opclass" => "INSERT INTO tst (v) SELECT ARRAY[random(), random(), random()] FROM generate_series(1, 10) i;"
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}
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);
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|
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# Get exact results
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@expected = ();
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foreach (@queries)
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{
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my $res = $node->safe_psql("postgres", qq(
|
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SET enable_indexscan = off;
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SELECT i FROM tst ORDER BY v $operator '$_' LIMIT $limit;
|
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));
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push(@expected, $res);
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}
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# Test approximate results
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if ($operator ne "<#>")
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{
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# TODO Fix test (uniform random vectors all have similar inner product)
|
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test_recall(1, 0.71, $operator);
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test_recall(10, 0.95, $operator);
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}
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# Account for equal distances
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test_recall(100, 0.9925, $operator);
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$node->safe_psql("postgres", "DROP INDEX idx;");
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$node->safe_psql("postgres", "TRUNCATE tst;");
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}
|
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|
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done_testing();
|
||||
Reference in New Issue
Block a user