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12 Commits

Author SHA1 Message Date
Andrew Kane
68c67be35a Added comment [skip ci] 2023-09-03 15:44:05 -07:00
Andrew Kane
3f49343a79 Added comments [skip ci] 2023-09-03 15:42:15 -07:00
Andrew Kane
d6ac7b93bb Skip dead tuples for search with HNSW 2023-09-02 17:48:44 -07:00
Andrew Kane
9ebec1529b Updated comments [skip ci] 2023-09-01 00:35:06 -07:00
Andrew Kane
77ff4c18f0 Updated comments [skip ci] 2023-09-01 00:32:42 -07:00
Andrew Kane
88dabaa41c Added test for IVFFlat insert recall 2023-09-01 00:30:02 -07:00
Andrew Kane
1809ffa52b Renamed test [skip ci] 2023-09-01 00:15:07 -07:00
Andrew Kane
024f283ee8 Updated header order [skip ci] 2023-09-01 00:14:03 -07:00
Andrew Kane
da3b2fab46 Updated readme [skip ci] 2023-08-31 22:20:13 -07:00
Andrew Kane
884026a23c Updated changelog [skip ci] 2023-08-29 10:13:05 -07:00
Andrew Kane
4d352e6c30 Updated changelog [skip ci] 2023-08-29 10:11:53 -07:00
Andrew Kane
a8e257e1f1 Added comments [skip ci] 2023-08-28 22:02:48 -07:00
12 changed files with 260 additions and 31 deletions

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@@ -1,13 +1,13 @@
## 0.5.0 (2023-08-28)
- Added HNSW index type
- Added support for parallel index builds
- Added support for parallel index builds for IVFFlat
- Added `l1_distance` function
- Added element-wise multiplication for vectors
- Added `sum` aggregate
- Improved performance of distance functions
- Fixed out of range results for cosine distance
- Fixed results for NULL and NaN distances
- Fixed results for NULL and NaN distances for IVFFlat
## 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
Supported index types are:
- [IVFFlat](#ivfflat)
- [HNSW](#hnsw) - *added in 0.5.0*
- [HNSW](#hnsw) - added in 0.5.0
## IVFFlat
@@ -282,8 +282,8 @@ SELECT phase, tuples_done, tuples_total FROM pg_stat_progress_create_index;
The phases are:
1. `initializing`
2. `performing k-means` (IVFFlat only)
3. `assigning tuples` (IVFFlat only)
2. `performing k-means` - IVFFlat only
3. `assigning tuples` - IVFFlat only
4. `loading tuples`
Note: `tuples_done` and `tuples_total` are only populated during the `loading tuples` phase

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

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@@ -58,6 +58,75 @@ 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
*/
@@ -71,6 +140,9 @@ 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",
@@ -95,6 +167,7 @@ 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)
@@ -158,12 +231,25 @@ 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)
@@ -174,6 +260,7 @@ 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);
@@ -185,6 +272,11 @@ 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);

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@@ -551,6 +551,8 @@ 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;
@@ -579,13 +581,14 @@ 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 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++;
/* Do not count certain number of dead elements towards ef */
if (list_length(hc->element->heaptids) == 0)
{
if ((++dead) <= maxAdditional)
continue;
}
wlen++;
}
while (!pairingheap_is_empty(C))
@@ -638,19 +641,18 @@ 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 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)
/* Do not count certain number of dead elements towards ef */
if (list_length(e->element->heaptids) == 0)
{
wlen++;
/* No need to decrement wlen */
if (wlen > ef)
pairingheap_remove_first(W);
if ((++dead) <= maxAdditional)
continue;
}
wlen++;
/* No need to decrement wlen */
if (wlen > ef)
pairingheap_remove_first(W);
}
}
}

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@@ -10,8 +10,8 @@
#include "ivfflat.h"
#include "miscadmin.h"
#include "storage/bufmgr.h"
#include "utils/memutils.h"
#include "tcop/tcopprot.h"
#include "utils/memutils.h"
#if PG_VERSION_NUM >= 140000
#include "utils/backend_progress.h"

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@@ -343,6 +343,7 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
scan->xs_ctup.t_self = *tid;
#endif
/* Unpin buffer */
if (BufferIsValid(so->buf))
ReleaseBuffer(so->buf);

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@@ -94,7 +94,7 @@ for my $i (0 .. $#operators)
# Test approximate results
if ($operator ne "<#>")
{
# TODO fix test
# TODO Fix test (uniform random vectors all have similar inner product)
test_recall(1, 0.71, $operator);
test_recall(10, 0.95, $operator);
}
@@ -115,7 +115,7 @@ for my $i (0 .. $#operators)
# Test approximate results
if ($operator ne "<#>")
{
# TODO fix test
# TODO Fix test (uniform random vectors all have similar inner product)
test_recall(1, 0.71, $operator);
test_recall(10, 0.95, $operator);
}

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@@ -38,8 +38,9 @@ sub test_index_replay
);
# Run test queries and compare their result
my $primary_result = $node_primary->safe_psql("postgres", $queries);
# 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", $queries);
is($primary_result, $replica_result, "$test_name: query result matches");
return;

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@@ -23,25 +23,27 @@ 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, 10);
is($res, $exp);
}
# Test duplicates with build
insert_vectors();
$node->safe_psql("postgres", "CREATE INDEX idx ON tst USING hnsw (v vector_l2_ops);");
test_duplicates();
test_duplicates(10);
# Reset
$node->safe_psql("postgres", "TRUNCATE tst;");
# Test duplicates with inserts
insert_vectors();
test_duplicates();
test_duplicates(10);
# Test fallback path for inserts
$node->pgbench(
@@ -55,4 +57,15 @@ $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();

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@@ -89,7 +89,7 @@ foreach (@queries)
test_recall(0.20, $limit, "before vacuum");
test_recall(0.95, 100, "before vacuum");
# TODO test concurrent inserts with vacuum
# TODO Test concurrent inserts with vacuum
$node->safe_psql("postgres", "VACUUM tst;");
test_recall(0.95, $limit, "after vacuum");

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@@ -0,0 +1,117 @@
use strict;
use warnings;
use PostgresNode;
use TestLib;
use Test::More;
my $node;
my @queries = ();
my @expected;
my $limit = 20;
sub test_recall
{
my ($probes, $min, $operator) = @_;
my $correct = 0;
my $total = 0;
my $explain = $node->safe_psql("postgres", qq(
SET enable_seqscan = off;
SET ivfflat.probes = $probes;
EXPLAIN ANALYZE SELECT i FROM tst ORDER BY v $operator '$queries[0]' LIMIT $limit;
));
like($explain, qr/Index Scan using idx on tst/);
for my $i (0 .. $#queries)
{
my $actual = $node->safe_psql("postgres", qq(
SET enable_seqscan = off;
SET ivfflat.probes = $probes;
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;
my @expected_ids = split("\n", $expected[$i]);
foreach (@expected_ids)
{
if (exists($actual_set{$_}))
{
$correct++;
}
$total++;
}
}
cmp_ok($correct / $total, ">=", $min, $operator);
}
# Initialize node
$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 serial, v vector(3));");
# Generate queries
for (1 .. 20)
{
my $r1 = rand();
my $r2 = rand();
my $r3 = rand();
push(@queries, "[$r1,$r2,$r3]");
}
# Check each index type
my @operators = ("<->", "<#>", "<=>");
my @opclasses = ("vector_l2_ops", "vector_ip_ops", "vector_cosine_ops");
for my $i (0 .. $#operators)
{
my $operator = $operators[$i];
my $opclass = $opclasses[$i];
# Add index
$node->safe_psql("postgres", "CREATE INDEX idx ON tst USING ivfflat (v $opclass);");
# Use concurrent inserts
$node->pgbench(
"--no-vacuum --client=10 --transactions=1000",
0,
[qr{actually processed}],
[qr{^$}],
"concurrent INSERTs",
{
"017_ivfflat_insert_recall_$opclass" => "INSERT INTO tst (v) SELECT ARRAY[random(), random(), random()] FROM generate_series(1, 10) i;"
}
);
# Get exact results
@expected = ();
foreach (@queries)
{
my $res = $node->safe_psql("postgres", qq(
SET enable_indexscan = off;
SELECT i FROM tst ORDER BY v $operator '$_' LIMIT $limit;
));
push(@expected, $res);
}
# Test approximate results
if ($operator ne "<#>")
{
# TODO Fix test (uniform random vectors all have similar inner product)
test_recall(1, 0.71, $operator);
test_recall(10, 0.95, $operator);
}
# Account for equal distances
test_recall(100, 0.9925, $operator);
$node->safe_psql("postgres", "DROP INDEX idx;");
$node->safe_psql("postgres", "TRUNCATE tst;");
}
done_testing();