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https://github.com/pgvector/pgvector.git
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57 lines
1.3 KiB
Perl
57 lines
1.3 KiB
Perl
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 tests => 2;
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my $node;
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my @expected_ids;
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# TODO Run more queries to prevent flakiness
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sub test_recall
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{
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my ($probes, $min) = @_;
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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 <-> '[0.5,0.5,0.5]' LIMIT 10;
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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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my $count = 0;
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for my $el (@expected_ids) {
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if (exists($actual_set{$el})) {
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$count++;
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}
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}
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cmp_ok($count, ">=", $min);
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}
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# Initialize node
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$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 int4, v vector(3));");
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$node->safe_psql("postgres",
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"INSERT INTO tst SELECT i, ARRAY[random(), random(), random()] FROM generate_series(1, 100000) i;"
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);
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# Get exact results
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my $expected = $node->safe_psql("postgres", "SELECT i FROM tst ORDER BY v <-> '[0.5,0.5,0.5]' LIMIT 10;");
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@expected_ids = split("\n", $expected);
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# Add index
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$node->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v);");
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# Test approximate results
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test_recall(1, 5);
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# Test probes
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test_recall(100, 10);
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