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VACUUM VERBOSE is the source for flaky tests and we don't gain much by including the verbose output in the test. Additionally removing the verbose option prevents us from having to make the vacuum tests pg-version specific as PG14 slightly changes the formatting of the VACUUM VERBOSE output.
139 lines
6.4 KiB
SQL
139 lines
6.4 KiB
SQL
-- This file and its contents are licensed under the Apache License 2.0.
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-- Please see the included NOTICE for copyright information and
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-- LICENSE-APACHE for a copy of the license.
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CREATE TABLE vacuum_test(time timestamp, temp float);
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-- create hypertable with three chunks
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SELECT create_hypertable('vacuum_test', 'time', chunk_time_interval => 2628000000000, create_default_indexes => false);
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INSERT INTO vacuum_test VALUES ('2017-01-20T16:00:01', 17.5),
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('2017-01-21T16:00:01', 19.1),
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('2017-04-20T16:00:01', 89.5),
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('2017-04-21T16:00:01', 17.1),
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('2017-06-20T16:00:01', 18.5),
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('2017-06-21T16:00:01', 11.0);
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-- no stats
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SELECT tablename, attname, histogram_bounds, n_distinct FROM pg_stats
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WHERE schemaname = '_timescaledb_internal' AND tablename LIKE '_hyper_%_chunk'
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ORDER BY tablename, attname, array_to_string(histogram_bounds, ',');
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SELECT tablename, attname, histogram_bounds, n_distinct FROM pg_stats
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WHERE schemaname = 'public' AND tablename LIKE 'vacuum_test'
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ORDER BY tablename, attname, array_to_string(histogram_bounds, ',');
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VACUUM ANALYZE vacuum_test;
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-- stats should exist for all three chunks
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SELECT tablename, attname, histogram_bounds, n_distinct FROM pg_stats
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WHERE schemaname = '_timescaledb_internal' AND tablename LIKE '_hyper_%_chunk'
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ORDER BY tablename, attname, array_to_string(histogram_bounds, ',');
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-- stats should exist on parent hypertable
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SELECT tablename, attname, histogram_bounds, n_distinct FROM pg_stats
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WHERE schemaname = 'public' AND tablename LIKE 'vacuum_test'
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ORDER BY tablename, attname, array_to_string(histogram_bounds, ',');
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DROP TABLE vacuum_test;
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--test plain analyze (no_vacuum)
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CREATE TABLE analyze_test(time timestamp, temp float);
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SELECT create_hypertable('analyze_test', 'time', chunk_time_interval => 2628000000000, create_default_indexes => false);
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INSERT INTO analyze_test VALUES ('2017-01-20T16:00:01', 17.5),
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('2017-01-21T16:00:01', 19.1),
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('2017-04-20T16:00:01', 89.5),
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('2017-04-21T16:00:01', 17.1),
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('2017-06-20T16:00:01', 18.5),
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('2017-06-21T16:00:01', 11.0);
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-- no stats
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SELECT tablename, attname, histogram_bounds, n_distinct FROM pg_stats
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WHERE schemaname = '_timescaledb_internal' AND tablename LIKE '_hyper_%_chunk'
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ORDER BY tablename, attname, array_to_string(histogram_bounds, ',');
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SELECT tablename, attname, histogram_bounds, n_distinct FROM pg_stats
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WHERE schemaname = 'public' AND tablename LIKE 'analyze_test'
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ORDER BY tablename, attname, array_to_string(histogram_bounds, ',');
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ANALYZE VERBOSE analyze_test;
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-- stats should exist for all three chunks
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SELECT tablename, attname, histogram_bounds, n_distinct FROM pg_stats
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WHERE schemaname = '_timescaledb_internal' AND tablename LIKE '_hyper_%_chunk'
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ORDER BY tablename, attname, array_to_string(histogram_bounds, ',');
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-- stats should exist on parent hypertable
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SELECT tablename, attname, histogram_bounds, n_distinct FROM pg_stats
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WHERE schemaname = 'public' AND tablename LIKE 'analyze_test'
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ORDER BY tablename, attname, array_to_string(histogram_bounds, ',');
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DROP TABLE analyze_test;
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-- Run vacuum on a normal (non-hypertable) table
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CREATE TABLE vacuum_norm(time timestamp, temp float);
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INSERT INTO vacuum_norm VALUES ('2017-01-20T09:00:01', 17.5),
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('2017-01-21T09:00:01', 19.1),
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('2017-04-20T09:00:01', 89.5),
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('2017-04-21T09:00:01', 17.1),
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('2017-06-20T09:00:01', 18.5),
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('2017-06-21T09:00:01', 11.0);
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VACUUM ANALYZE vacuum_norm;
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DROP TABLE vacuum_norm;
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--Similar to normal vacuum tests, but PG11 introduced ability to vacuum multiple tables at once, we make sure that works for hypertables as well.
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CREATE TABLE vacuum_test(time timestamp, temp float);
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-- create hypertable with three chunks
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SELECT create_hypertable('vacuum_test', 'time', chunk_time_interval => 2628000000000, create_default_indexes => false);
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INSERT INTO vacuum_test VALUES ('2017-01-20T16:00:01', 17.5),
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('2017-01-21T16:00:01', 19.1),
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('2017-04-20T16:00:01', 89.5),
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('2017-04-21T16:00:01', 17.1),
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('2017-06-20T16:00:01', 18.5),
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('2017-06-21T16:00:01', 11.0);
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CREATE TABLE analyze_test(time timestamp, temp float);
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SELECT create_hypertable('analyze_test', 'time', chunk_time_interval => 2628000000000, create_default_indexes => false);
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INSERT INTO analyze_test VALUES ('2017-01-20T16:00:01', 17.5),
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('2017-01-21T16:00:01', 19.1),
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('2017-04-20T16:00:01', 89.5),
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('2017-04-21T16:00:01', 17.1),
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('2017-06-20T16:00:01', 18.5),
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('2017-06-21T16:00:01', 11.0);
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CREATE TABLE vacuum_norm(time timestamp, temp float);
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INSERT INTO vacuum_norm VALUES ('2017-01-20T09:00:01', 17.5),
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('2017-01-21T09:00:01', 19.1),
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('2017-04-20T09:00:01', 89.5),
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('2017-04-21T09:00:01', 17.1),
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('2017-06-20T09:00:01', 18.5),
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('2017-06-21T09:00:01', 11.0);
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-- no stats
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SELECT tablename, attname, histogram_bounds, n_distinct FROM pg_stats
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WHERE schemaname = '_timescaledb_internal' AND tablename LIKE '_hyper_%_chunk'
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ORDER BY tablename, attname, array_to_string(histogram_bounds, ',');
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SELECT tablename, attname, histogram_bounds, n_distinct FROM pg_stats
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WHERE schemaname = 'public'
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ORDER BY tablename, attname, array_to_string(histogram_bounds, ',');
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VACUUM ANALYZE vacuum_norm, vacuum_test, analyze_test;
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-- stats should exist for all 6 chunks
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SELECT tablename, attname, histogram_bounds, n_distinct FROM pg_stats
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WHERE schemaname = '_timescaledb_internal' AND tablename LIKE '_hyper_%_chunk'
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ORDER BY tablename, attname, array_to_string(histogram_bounds, ',');
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-- stats should exist on parent hypertable and normal table
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SELECT tablename, attname, histogram_bounds, n_distinct FROM pg_stats
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WHERE schemaname = 'public'
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ORDER BY tablename, attname, array_to_string(histogram_bounds, ',');
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