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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-05-04 12:17:33 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-05-04 12:17:33 +0000
commit5e45211a64149b3c659b90ff2de6fa982a5a93ed (patch)
tree739caf8c461053357daa9f162bef34516c7bf452 /src/test/regress/sql/memoize.sql
parentInitial commit. (diff)
downloadpostgresql-15-5e45211a64149b3c659b90ff2de6fa982a5a93ed.tar.xz
postgresql-15-5e45211a64149b3c659b90ff2de6fa982a5a93ed.zip
Adding upstream version 15.5.upstream/15.5
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
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+-- Perform tests on the Memoize node.
+
+-- The cache hits/misses/evictions from the Memoize node can vary between
+-- machines. Let's just replace the number with an 'N'. In order to allow us
+-- to perform validation when the measure was zero, we replace a zero value
+-- with "Zero". All other numbers are replaced with 'N'.
+create function explain_memoize(query text, hide_hitmiss bool) returns setof text
+language plpgsql as
+$$
+declare
+ ln text;
+begin
+ for ln in
+ execute format('explain (analyze, costs off, summary off, timing off) %s',
+ query)
+ loop
+ if hide_hitmiss = true then
+ ln := regexp_replace(ln, 'Hits: 0', 'Hits: Zero');
+ ln := regexp_replace(ln, 'Hits: \d+', 'Hits: N');
+ ln := regexp_replace(ln, 'Misses: 0', 'Misses: Zero');
+ ln := regexp_replace(ln, 'Misses: \d+', 'Misses: N');
+ end if;
+ ln := regexp_replace(ln, 'Evictions: 0', 'Evictions: Zero');
+ ln := regexp_replace(ln, 'Evictions: \d+', 'Evictions: N');
+ ln := regexp_replace(ln, 'Memory Usage: \d+', 'Memory Usage: N');
+ ln := regexp_replace(ln, 'Heap Fetches: \d+', 'Heap Fetches: N');
+ ln := regexp_replace(ln, 'loops=\d+', 'loops=N');
+ return next ln;
+ end loop;
+end;
+$$;
+
+-- Ensure we get a memoize node on the inner side of the nested loop
+SET enable_hashjoin TO off;
+SET enable_bitmapscan TO off;
+
+SELECT explain_memoize('
+SELECT COUNT(*),AVG(t1.unique1) FROM tenk1 t1
+INNER JOIN tenk1 t2 ON t1.unique1 = t2.twenty
+WHERE t2.unique1 < 1000;', false);
+
+-- And check we get the expected results.
+SELECT COUNT(*),AVG(t1.unique1) FROM tenk1 t1
+INNER JOIN tenk1 t2 ON t1.unique1 = t2.twenty
+WHERE t2.unique1 < 1000;
+
+-- Try with LATERAL joins
+SELECT explain_memoize('
+SELECT COUNT(*),AVG(t2.unique1) FROM tenk1 t1,
+LATERAL (SELECT t2.unique1 FROM tenk1 t2
+ WHERE t1.twenty = t2.unique1 OFFSET 0) t2
+WHERE t1.unique1 < 1000;', false);
+
+-- And check we get the expected results.
+SELECT COUNT(*),AVG(t2.unique1) FROM tenk1 t1,
+LATERAL (SELECT t2.unique1 FROM tenk1 t2
+ WHERE t1.twenty = t2.unique1 OFFSET 0) t2
+WHERE t1.unique1 < 1000;
+
+-- Reduce work_mem and hash_mem_multiplier so that we see some cache evictions
+SET work_mem TO '64kB';
+SET hash_mem_multiplier TO 1.0;
+SET enable_mergejoin TO off;
+-- Ensure we get some evictions. We're unable to validate the hits and misses
+-- here as the number of entries that fit in the cache at once will vary
+-- between different machines.
+SELECT explain_memoize('
+SELECT COUNT(*),AVG(t1.unique1) FROM tenk1 t1
+INNER JOIN tenk1 t2 ON t1.unique1 = t2.thousand
+WHERE t2.unique1 < 1200;', true);
+
+CREATE TABLE flt (f float);
+CREATE INDEX flt_f_idx ON flt (f);
+INSERT INTO flt VALUES('-0.0'::float),('+0.0'::float);
+ANALYZE flt;
+
+SET enable_seqscan TO off;
+
+-- Ensure memoize operates in logical mode
+SELECT explain_memoize('
+SELECT * FROM flt f1 INNER JOIN flt f2 ON f1.f = f2.f;', false);
+
+-- Ensure memoize operates in binary mode
+SELECT explain_memoize('
+SELECT * FROM flt f1 INNER JOIN flt f2 ON f1.f >= f2.f;', false);
+
+DROP TABLE flt;
+
+-- Exercise Memoize in binary mode with a large fixed width type and a
+-- varlena type.
+CREATE TABLE strtest (n name, t text);
+CREATE INDEX strtest_n_idx ON strtest (n);
+CREATE INDEX strtest_t_idx ON strtest (t);
+INSERT INTO strtest VALUES('one','one'),('two','two'),('three',repeat(md5('three'),100));
+-- duplicate rows so we get some cache hits
+INSERT INTO strtest SELECT * FROM strtest;
+ANALYZE strtest;
+
+-- Ensure we get 3 hits and 3 misses
+SELECT explain_memoize('
+SELECT * FROM strtest s1 INNER JOIN strtest s2 ON s1.n >= s2.n;', false);
+
+-- Ensure we get 3 hits and 3 misses
+SELECT explain_memoize('
+SELECT * FROM strtest s1 INNER JOIN strtest s2 ON s1.t >= s2.t;', false);
+
+DROP TABLE strtest;
+
+-- Ensure memoize works with partitionwise join
+SET enable_partitionwise_join TO on;
+
+CREATE TABLE prt (a int) PARTITION BY RANGE(a);
+CREATE TABLE prt_p1 PARTITION OF prt FOR VALUES FROM (0) TO (10);
+CREATE TABLE prt_p2 PARTITION OF prt FOR VALUES FROM (10) TO (20);
+INSERT INTO prt VALUES (0), (0), (0), (0);
+INSERT INTO prt VALUES (10), (10), (10), (10);
+CREATE INDEX iprt_p1_a ON prt_p1 (a);
+CREATE INDEX iprt_p2_a ON prt_p2 (a);
+ANALYZE prt;
+
+SELECT explain_memoize('
+SELECT * FROM prt t1 INNER JOIN prt t2 ON t1.a = t2.a;', false);
+
+DROP TABLE prt;
+
+RESET enable_partitionwise_join;
+
+-- Exercise Memoize code that flushes the cache when a parameter changes which
+-- is not part of the cache key.
+
+-- Ensure we get a Memoize plan
+EXPLAIN (COSTS OFF)
+SELECT unique1 FROM tenk1 t0
+WHERE unique1 < 3
+ AND EXISTS (
+ SELECT 1 FROM tenk1 t1
+ INNER JOIN tenk1 t2 ON t1.unique1 = t2.hundred
+ WHERE t0.ten = t1.twenty AND t0.two <> t2.four OFFSET 0);
+
+-- Ensure the above query returns the correct result
+SELECT unique1 FROM tenk1 t0
+WHERE unique1 < 3
+ AND EXISTS (
+ SELECT 1 FROM tenk1 t1
+ INNER JOIN tenk1 t2 ON t1.unique1 = t2.hundred
+ WHERE t0.ten = t1.twenty AND t0.two <> t2.four OFFSET 0);
+
+RESET enable_seqscan;
+RESET enable_mergejoin;
+RESET work_mem;
+RESET hash_mem_multiplier;
+RESET enable_bitmapscan;
+RESET enable_hashjoin;
+
+-- Test parallel plans with Memoize
+SET min_parallel_table_scan_size TO 0;
+SET parallel_setup_cost TO 0;
+SET parallel_tuple_cost TO 0;
+SET max_parallel_workers_per_gather TO 2;
+
+-- Ensure we get a parallel plan.
+EXPLAIN (COSTS OFF)
+SELECT COUNT(*),AVG(t2.unique1) FROM tenk1 t1,
+LATERAL (SELECT t2.unique1 FROM tenk1 t2 WHERE t1.twenty = t2.unique1) t2
+WHERE t1.unique1 < 1000;
+
+-- And ensure the parallel plan gives us the correct results.
+SELECT COUNT(*),AVG(t2.unique1) FROM tenk1 t1,
+LATERAL (SELECT t2.unique1 FROM tenk1 t2 WHERE t1.twenty = t2.unique1) t2
+WHERE t1.unique1 < 1000;
+
+RESET max_parallel_workers_per_gather;
+RESET parallel_tuple_cost;
+RESET parallel_setup_cost;
+RESET min_parallel_table_scan_size;