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 int4, v vector(3));"); $node->safe_psql("postgres", "INSERT INTO tst SELECT i, ARRAY[random(), random(), random()] FROM generate_series(1, 100000) i;" ); # 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]; # 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); } # Build index serially $node->safe_psql("postgres", qq( SET max_parallel_maintenance_workers = 0; CREATE INDEX idx ON tst USING ivfflat (v $opclass); )); # Test approximate results if ($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); $node->safe_psql("postgres", "DROP INDEX idx;"); # Build index in parallel my ($ret, $stdout, $stderr) = $node->psql("postgres", qq( SET client_min_messages = DEBUG; SET min_parallel_table_scan_size = 1; CREATE INDEX idx ON tst USING ivfflat (v $opclass); )); is($ret, 0, $stderr); like($stderr, qr/using \d+ parallel workers/); # 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;"); } done_testing();