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5 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
Andrew Kane
0b0e542ce6 Fixed auto-vectorization for vector_spherical_distance with MSVC 2023-09-01 18:42:37 -07:00
Andrew Kane
a4590d2d9d Simplified WAL tests [skip ci] 2023-09-01 15:49:52 -07:00
12 changed files with 140 additions and 137 deletions

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@@ -1,3 +1,7 @@
## 0.5.1 (unreleased)
- Added `angular_distance` function
## 0.5.0 (2023-08-28)
- Added HNSW index type

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@@ -0,0 +1,5 @@
-- 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
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
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
AS 'MODULE_PATHNAME' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;

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@@ -219,9 +219,6 @@ typedef struct HnswScanOpaqueData
{
bool first;
Buffer buf;
ItemPointerData heaptid;
OffsetNumber offno;
int removedCount;
List *w;
MemoryContext tmpCtx;

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@@ -58,75 +58,6 @@ GetDimensions(Relation index)
return dimensions;
}
/*
* Remove deleted heap TID
*/
static void
RemoveHeapTid(IndexScanDesc scan)
{
HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
Relation index = scan->indexRelation;
Buffer buf = so->buf;
Page page;
GenericXLogState *state;
ItemId itemid;
HnswElementTuple etup;
Size etupSize;
int idx = -1;
/* Safety check */
if (!BufferIsValid(buf) || !OffsetNumberIsValid(so->offno) || !ItemPointerIsValid(&so->heaptid))
return;
/* Use WAL rather than hint */
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
state = GenericXLogStart(index);
page = GenericXLogRegisterBuffer(state, buf, 0);
itemid = PageGetItemId(page, so->offno);
etup = (HnswElementTuple) PageGetItem(page, itemid);
etupSize = ItemIdGetLength(itemid);
Assert(HnswIsElementTuple(etup));
/* Find index */
for (int i = 0; i < HNSW_HEAPTIDS; i++)
{
if (!ItemPointerIsValid(&etup->heaptids[i]))
break;
if (ItemPointerEquals(&etup->heaptids[i], &so->heaptid))
{
idx = i;
break;
}
}
if (idx == -1)
GenericXLogAbort(state);
else
{
/* Move pointers forward */
for (int i = idx; i < HNSW_HEAPTIDS; i++)
{
if (i + 1 == HNSW_HEAPTIDS || !ItemPointerIsValid(&etup->heaptids[i + 1]))
ItemPointerSetInvalid(&etup->heaptids[i]);
else
ItemPointerCopy(&etup->heaptids[i + 1], &etup->heaptids[i]);
}
/* Overwrite tuple */
if (!PageIndexTupleOverwrite(page, so->offno, (Item) etup, etupSize))
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
/* Commit */
MarkBufferDirty(buf);
GenericXLogFinish(state);
}
/* Unlock buffer */
LockBuffer(buf, BUFFER_LOCK_UNLOCK);
}
/*
* Prepare for an index scan
*/
@@ -140,9 +71,6 @@ hnswbeginscan(Relation index, int nkeys, int norderbys)
so = (HnswScanOpaque) palloc(sizeof(HnswScanOpaqueData));
so->buf = InvalidBuffer;
ItemPointerSetInvalid(&so->heaptid);
so->offno = InvalidOffsetNumber;
so->removedCount = 0;
so->first = true;
so->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
"Hnsw scan temporary context",
@@ -167,7 +95,6 @@ hnswrescan(IndexScanDesc scan, ScanKey keys, int nkeys, ScanKey orderbys, int no
HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
so->first = true;
ItemPointerSetInvalid(&so->heaptid);
MemoryContextReset(so->tmpCtx);
if (keys && scan->numberOfKeys > 0)
@@ -231,25 +158,12 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
so->first = false;
}
else
{
/*
* Remove dead tuples. kill_prior_tuple will only be true if not in
* recovery. Limit the number removed per scan for performance.
*/
if (scan->kill_prior_tuple && so->removedCount < 3)
{
RemoveHeapTid(scan);
so->removedCount++;
}
}
while (list_length(so->w) > 0)
{
HnswCandidate *hc = llast(so->w);
ItemPointer tid;
BlockNumber indexblkno;
OffsetNumber indexoffno;
/* Move to next element if no valid heap tids */
if (list_length(hc->element->heaptids) == 0)
@@ -260,7 +174,6 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
tid = llast(hc->element->heaptids);
indexblkno = hc->element->blkno;
indexoffno = hc->element->offno;
hc->element->heaptids = list_delete_last(hc->element->heaptids);
@@ -272,10 +185,6 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
scan->xs_ctup.t_self = *tid;
#endif
/* Keep track of info needed to remove dead tuples */
so->heaptid = *tid;
so->offno = indexoffno;
/* Unpin buffer */
if (BufferIsValid(so->buf))
ReleaseBuffer(so->buf);

View File

@@ -551,8 +551,6 @@ HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *pro
pairingheap *C = pairingheap_allocate(CompareNearestCandidates, NULL);
pairingheap *W = pairingheap_allocate(CompareFurthestCandidates, NULL);
int wlen = 0;
uint64 dead = 0;
uint64 maxAdditional = skipElement == NULL ? ef : PG_UINT64_MAX;
HASHCTL hash_ctl;
HTAB *v;
@@ -581,13 +579,12 @@ HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *pro
pairingheap_add(C, &(CreatePairingHeapNode(hc)->ph_node));
pairingheap_add(W, &(CreatePairingHeapNode(hc)->ph_node));
/* Do not count certain number of dead elements towards ef */
if (list_length(hc->element->heaptids) == 0)
{
if ((++dead) <= maxAdditional)
continue;
}
/*
* Do not count elements being deleted towards ef when vacuuming. It
* would be ideal to do this for inserts as well, but this could
* affect insert performance.
*/
if (skipElement == NULL || list_length(hc->element->heaptids) != 0)
wlen++;
}
@@ -641,13 +638,13 @@ HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *pro
pairingheap_add(C, &(CreatePairingHeapNode(ec)->ph_node));
pairingheap_add(W, &(CreatePairingHeapNode(ec)->ph_node));
/* Do not count certain number of dead elements towards ef */
if (list_length(e->element->heaptids) == 0)
/*
* Do not count elements being deleted towards ef when
* vacuuming. It would be ideal to do this for inserts as
* well, but this could affect insert performance.
*/
if (skipElement == NULL || list_length(e->element->heaptids) != 0)
{
if ((++dead) <= maxAdditional)
continue;
}
wlen++;
/* No need to decrement wlen */
@@ -657,6 +654,7 @@ HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *pro
}
}
}
}
/* Add each element of W to w */
while (!pairingheap_is_empty(W))

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@@ -684,6 +684,49 @@ cosine_distance(PG_FUNCTION_ARGS)
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
* Currently uses angular distance since needs to satisfy triangle inequality
@@ -695,6 +738,8 @@ vector_spherical_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 dp = 0.0;
double distance;
@@ -702,7 +747,7 @@ vector_spherical_distance(PG_FUNCTION_ARGS)
/* Auto-vectorized */
for (int i = 0; i < a->dim; i++)
dp += a->x[i] * b->x[i];
dp += ax[i] * bx[i];
distance = (double) dp;

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@@ -152,6 +152,56 @@ SELECT l1_distance('[3e38]', '[-3e38]');
Infinity
(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;
avg
-----------

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@@ -36,6 +36,16 @@ SELECT l1_distance('[0,0]', '[0,1]');
SELECT l1_distance('[1,2]', '[3]');
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]', NULL]) v;
SELECT avg(v) FROM unnest(ARRAY[]::vector[]) v;

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@@ -19,8 +19,6 @@ sub test_index_replay
# Wait for replica to catch up
my $applname = $node_replica->name;
my $server_version_num = $node_primary->safe_psql("postgres", "SHOW server_version_num");
my $caughtup_query = "SELECT pg_current_wal_lsn() <= replay_lsn FROM pg_stat_replication WHERE application_name = '$applname';";
$node_primary->poll_query_until('postgres', $caughtup_query)
or die "Timed out while waiting for replica 1 to catch up";

View File

@@ -19,8 +19,6 @@ sub test_index_replay
# Wait for replica to catch up
my $applname = $node_replica->name;
my $server_version_num = $node_primary->safe_psql("postgres", "SHOW server_version_num");
my $caughtup_query = "SELECT pg_current_wal_lsn() <= replay_lsn FROM pg_stat_replication WHERE application_name = '$applname';";
$node_primary->poll_query_until('postgres', $caughtup_query)
or die "Timed out while waiting for replica 1 to catch up";
@@ -38,9 +36,8 @@ sub test_index_replay
);
# Run test queries and compare their result
# Query replica first since index scan on primary can generate WAL removing tuples
my $replica_result = $node_replica->safe_psql("postgres", $queries);
my $primary_result = $node_primary->safe_psql("postgres", $queries);
my $replica_result = $node_replica->safe_psql("postgres", $queries);
is($primary_result, $replica_result, "$test_name: query result matches");
return;

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@@ -23,27 +23,25 @@ sub insert_vectors
sub test_duplicates
{
my ($exp) = @_;
my $res = $node->safe_psql("postgres", qq(
SET enable_seqscan = off;
SET hnsw.ef_search = 1;
SELECT COUNT(*) FROM (SELECT * FROM tst ORDER BY v <-> '[1,1,1]') t;
));
is($res, $exp);
is($res, 10);
}
# Test duplicates with build
insert_vectors();
$node->safe_psql("postgres", "CREATE INDEX idx ON tst USING hnsw (v vector_l2_ops);");
test_duplicates(10);
test_duplicates();
# Reset
$node->safe_psql("postgres", "TRUNCATE tst;");
# Test duplicates with inserts
insert_vectors();
test_duplicates(10);
test_duplicates();
# Test fallback path for inserts
$node->pgbench(
@@ -57,15 +55,4 @@ $node->pgbench(
}
);
# Reset
$node->safe_psql("postgres", "TRUNCATE tst;");
# Test deletes with index scan
$node->safe_psql("postgres", "INSERT INTO tst SELECT '[1,1,1]' FROM generate_series(1, 10) i;");
$node->safe_psql("postgres", "DELETE FROM tst WHERE ctid IN (SELECT ctid FROM tst ORDER BY random() LIMIT 5);");
for (1 .. 3)
{
test_duplicates(5);
}
done_testing();