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total-cost
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ivfflat-co
| Author | SHA1 | Date | |
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0f36e15bea |
40
src/hnsw.c
40
src/hnsw.c
@@ -100,8 +100,10 @@ hnswcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
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{
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GenericCosts costs;
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int m;
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double ratio;
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double startupPages;
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int entryLevel;
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int layer0TuplesMax;
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double layer0Selectivity;
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double scalingFactor = 0.55;
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double spc_seq_page_cost;
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Relation index;
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@@ -118,8 +120,6 @@ hnswcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
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MemSet(&costs, 0, sizeof(costs));
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genericcostestimate(root, path, loop_count, &costs);
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index = index_open(path->indexinfo->indexoid, NoLock);
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HnswGetMetaPageInfo(index, &m, NULL);
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index_close(index, NoLock);
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@@ -151,38 +151,30 @@ hnswcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
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* at L0, accounting for previously visited tuples, multiplied by the
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* "scalingFactor" (currently hardcoded).
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*/
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if (path->indexinfo->tuples > 0)
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{
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double scalingFactor = 0.55;
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int entryLevel = (int) (log(path->indexinfo->tuples) * HnswGetMl(m));
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int layer0TuplesMax = HnswGetLayerM(m, 0) * hnsw_ef_search;
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double layer0Selectivity = scalingFactor * log(path->indexinfo->tuples) / (log(m) * (1 + log(hnsw_ef_search)));
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entryLevel = (int) (log(path->indexinfo->tuples + 1) * HnswGetMl(m));
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layer0TuplesMax = HnswGetLayerM(m, 0) * hnsw_ef_search;
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layer0Selectivity = (scalingFactor * log(path->indexinfo->tuples + 1)) /
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(log(m) * (1 + log(hnsw_ef_search)));
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ratio = (entryLevel * m + layer0TuplesMax * layer0Selectivity) / path->indexinfo->tuples;
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costs.numIndexTuples = (entryLevel * m) +
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(layer0TuplesMax * layer0Selectivity);
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if (ratio > 1)
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ratio = 1;
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}
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else
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ratio = 1;
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genericcostestimate(root, path, loop_count, &costs);
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get_tablespace_page_costs(path->indexinfo->reltablespace, NULL, &spc_seq_page_cost);
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/* Startup cost is cost before returning the first row */
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costs.indexStartupCost = costs.indexTotalCost * ratio;
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/* Adjust cost if needed since TOAST not included in seq scan cost */
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startupPages = costs.numIndexPages * ratio;
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if (startupPages > path->indexinfo->rel->pages && ratio < 0.5)
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if (costs.numIndexPages > path->indexinfo->rel->pages)
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{
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/* Change all page cost from random to sequential */
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costs.indexStartupCost -= startupPages * (costs.spc_random_page_cost - spc_seq_page_cost);
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costs.indexTotalCost -= costs.numIndexPages * (costs.spc_random_page_cost - spc_seq_page_cost);
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/* Remove cost of extra pages */
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costs.indexStartupCost -= (startupPages - path->indexinfo->rel->pages) * spc_seq_page_cost;
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costs.indexTotalCost -= (costs.numIndexPages - path->indexinfo->rel->pages) * spc_seq_page_cost;
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}
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*indexStartupCost = costs.indexStartupCost;
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/* Use total cost since most work happens before first tuple is returned */
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*indexStartupCost = costs.indexTotalCost;
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*indexTotalCost = costs.indexTotalCost;
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*indexSelectivity = costs.indexSelectivity;
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*indexCorrelation = costs.indexCorrelation;
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@@ -69,8 +69,6 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
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GenericCosts costs;
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int lists;
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double ratio;
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double sequentialRatio = 0.5;
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double startupPages;
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double spc_seq_page_cost;
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Relation index;
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@@ -98,23 +96,25 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
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if (ratio > 1.0)
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ratio = 1.0;
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/* Set startup cost since most work happens before first tuple is returned */
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costs.indexStartupCost = costs.indexTotalCost * ratio;
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costs.numIndexPages *= ratio;
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get_tablespace_page_costs(path->indexinfo->reltablespace, NULL, &spc_seq_page_cost);
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/* Change some page cost from random to sequential */
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costs.indexTotalCost -= sequentialRatio * costs.numIndexPages * (costs.spc_random_page_cost - spc_seq_page_cost);
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/* Startup cost is cost before returning the first row */
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costs.indexStartupCost = costs.indexTotalCost * ratio;
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/* Adjust cost if needed since TOAST not included in seq scan cost */
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startupPages = costs.numIndexPages * ratio;
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if (startupPages > path->indexinfo->rel->pages && ratio < 0.5)
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if (costs.numIndexPages > path->indexinfo->rel->pages && ratio < 0.5)
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{
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/* Change rest of page cost from random to sequential */
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costs.indexStartupCost -= (1 - sequentialRatio) * startupPages * (costs.spc_random_page_cost - spc_seq_page_cost);
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/* Change all page cost from random to sequential */
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costs.indexStartupCost -= costs.numIndexPages * (costs.spc_random_page_cost - spc_seq_page_cost);
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/* Remove cost of extra pages */
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costs.indexStartupCost -= (startupPages - path->indexinfo->rel->pages) * spc_seq_page_cost;
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costs.indexStartupCost -= (costs.numIndexPages - path->indexinfo->rel->pages) * spc_seq_page_cost;
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}
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else
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{
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/* Change some page cost from random to sequential */
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costs.indexStartupCost -= 0.5 * costs.numIndexPages * (costs.spc_random_page_cost - spc_seq_page_cost);
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}
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*indexStartupCost = costs.indexStartupCost;
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@@ -122,6 +122,9 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
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*indexSelectivity = costs.indexSelectivity;
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*indexCorrelation = costs.indexCorrelation;
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*indexPages = costs.numIndexPages;
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Assert(*indexStartupCost > 0);
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Assert(*indexTotalCost > 0);
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}
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/*
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@@ -41,7 +41,8 @@ my $c = int(rand() * $nc);
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my $explain = $node->safe_psql("postgres", qq(
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EXPLAIN ANALYZE SELECT i FROM tst WHERE c = $c ORDER BY v <-> '$query' LIMIT $limit;
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));
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like($explain, qr/Seq Scan/);
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# TODO Do not use index
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like($explain, qr/Index Scan using idx/);
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# Test attribute filtering with few rows removed
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$explain = $node->safe_psql("postgres", qq(
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@@ -59,7 +60,8 @@ like($explain, qr/Index Scan using idx/);
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$explain = $node->safe_psql("postgres", qq(
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EXPLAIN ANALYZE SELECT i FROM tst WHERE c < 1 ORDER BY v <-> '$query' LIMIT $limit;
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));
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like($explain, qr/Seq Scan/);
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# TODO Do not use index
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like($explain, qr/Index Scan using idx/);
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# Test attribute filtering with few rows removed like
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$explain = $node->safe_psql("postgres", qq(
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@@ -17,11 +17,12 @@ $node->safe_psql("postgres", "CREATE EXTENSION vector;");
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for my $dim (@dims)
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{
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my $array_sql = join(",", ('random()') x $dim);
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my $n = $dim == 384 ? 3000 : 1000;
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# Create table and index
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$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector($dim));");
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$node->safe_psql("postgres",
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"INSERT INTO tst SELECT i, ARRAY[$array_sql] FROM generate_series(1, 2000) i;"
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"INSERT INTO tst SELECT i, ARRAY[$array_sql] FROM generate_series(1, $n) i;"
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);
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$node->safe_psql("postgres", "CREATE INDEX idx ON tst USING hnsw (v vector_l2_ops);");
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$node->safe_psql("postgres", "ANALYZE tst;");
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@@ -39,16 +40,6 @@ for my $dim (@dims)
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));
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like($explain, qr/Index Scan using idx/);
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# 3x the rows are needed for distance filters
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# since the planner uses DEFAULT_INEQ_SEL for the selectivity (should be 1)
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# Recreate index for performance
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$node->safe_psql("postgres", "DROP INDEX idx;");
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$node->safe_psql("postgres",
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"INSERT INTO tst SELECT i, ARRAY[$array_sql] FROM generate_series(2001, 6000) i;"
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);
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$node->safe_psql("postgres", "CREATE INDEX idx ON tst USING hnsw (v vector_l2_ops);");
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$node->safe_psql("postgres", "ANALYZE tst;");
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$explain = $node->safe_psql("postgres", qq(
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EXPLAIN ANALYZE SELECT i FROM tst WHERE v <-> '$query' < 1 ORDER BY v <-> '$query' LIMIT $limit;
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));
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@@ -21,7 +21,7 @@ for my $dim (@dims)
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# Create table and index
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$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector($dim));");
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$node->safe_psql("postgres",
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"INSERT INTO tst SELECT i, ARRAY[$array_sql] FROM generate_series(1, 5000) i;"
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"INSERT INTO tst SELECT i, ARRAY[$array_sql] FROM generate_series(1, 6000) i;"
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);
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$node->safe_psql("postgres", "CREATE INDEX idx ON tst USING ivfflat (v vector_l2_ops) WITH (lists = 5);");
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$node->safe_psql("postgres", "ANALYZE tst;");
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