-- This file and its contents are licensed under the Timescale License. -- Please see the included NOTICE for copyright information and -- LICENSE-TIMESCALE for a copy of the license. \c :TEST_DBNAME :ROLE_SUPERUSER SET ROLE :ROLE_DEFAULT_PERM_USER; SET client_min_messages TO NOTICE; CREATE TABLE continuous_agg_test(timeval integer, col1 integer, col2 integer); select create_hypertable('continuous_agg_test', 'timeval', chunk_time_interval=> 2); CREATE OR REPLACE FUNCTION integer_now_test1() returns int LANGUAGE SQL STABLE as $$ SELECT coalesce(max(timeval), 0) FROM continuous_agg_test $$; SELECT set_integer_now_func('continuous_agg_test', 'integer_now_test1'); INSERT INTO continuous_agg_test VALUES (10, - 4, 1), (11, - 3, 5), (12, - 3, 7), (13, - 3, 9), (14,-4, 11), (15, -4, 22), (16, -4, 23); -- TEST for multiple continuous aggs --- invalidations are picked up by both caggs CREATE MATERIALIZED VIEW cagg_1( timed, cnt ) WITH (timescaledb.continuous, timescaledb.materialized_only=true) AS SELECT time_bucket( 2, timeval), COUNT(col1) FROM continuous_agg_test GROUP BY 1 WITH NO DATA; CREATE MATERIALIZED VIEW cagg_2( timed, grp, maxval) WITH (timescaledb.continuous, timescaledb.materialized_only=true) AS SELECT time_bucket(2, timeval), col1, max(col2) FROM continuous_agg_test GROUP BY 1, 2 WITH NO DATA; select view_name, view_owner, materialization_hypertable_name from timescaledb_information.continuous_aggregates ORDER BY 1; --TEST1: cagg_1 is materialized, not cagg_2. CALL refresh_continuous_aggregate('cagg_1', NULL, NULL); select * from cagg_1 order by 1; SELECT time_bucket(2, timeval), COUNT(col1) as value FROM continuous_agg_test GROUP BY 1 order by 1; -- check that cagg_2 not materialized select * from cagg_2 order by 1,2; CALL refresh_continuous_aggregate('cagg_2', NULL, NULL); select * from cagg_2 order by 1,2; SELECT * FROM _timescaledb_catalog.continuous_aggs_invalidation_threshold; --TEST2: cagg_2 gets invalidations after cagg_1's refresh --will trigger invalidations INSERT INTO continuous_agg_test VALUES (10, -4, 10), (11, - 3, 50), (11, - 3, 70), (10, - 4, 10); SELECT * FROM _timescaledb_catalog.continuous_aggs_invalidation_threshold; CALL refresh_continuous_aggregate('cagg_1', NULL, NULL); select * from cagg_1 order by 1; SELECT time_bucket(2, timeval), COUNT(col1) as value FROM continuous_agg_test GROUP BY 1 order by 1; -- are the invalidations picked up here? select * from cagg_2 order by 1, 2; SELECT time_bucket(2, timeval), col1, max(col2) FROM continuous_agg_test GROUP BY 1, 2 order by 1,2 ; CALL refresh_continuous_aggregate('cagg_2', NULL, NULL); select * from cagg_2 order by 1, 2; --TEST3: invalidations left over by cagg_1 are dropped --trigger another invalidation INSERT INTO continuous_agg_test VALUES (10, -4, 1000); select count(*) from _timescaledb_catalog.continuous_aggs_hypertable_invalidation_log; select count(*) from _timescaledb_catalog.continuous_aggs_materialization_invalidation_log; CALL refresh_continuous_aggregate('cagg_1', NULL, NULL); select count(*) from _timescaledb_catalog.continuous_aggs_hypertable_invalidation_log; select count(*) from _timescaledb_catalog.continuous_aggs_materialization_invalidation_log; --now drop cagg_1, should still have materialization_invalidation_log DROP MATERIALIZED VIEW cagg_1; select count(*) from _timescaledb_catalog.continuous_aggs_materialization_invalidation_log; --cagg_2 still exists select view_name from timescaledb_information.continuous_aggregates; drop table continuous_agg_test cascade; select count(*) from _timescaledb_catalog.continuous_aggs_materialization_invalidation_log; select view_name from timescaledb_information.continuous_aggregates; --TEST4: invalidations that are copied over by cagg1 are not deleted by cagg2 refresh if -- they do not meet materialization invalidation threshold for cagg2. CREATE TABLE continuous_agg_test(timeval integer, col1 integer, col2 integer); select create_hypertable('continuous_agg_test', 'timeval', chunk_time_interval=> 2); CREATE OR REPLACE FUNCTION integer_now_test1() returns int LANGUAGE SQL STABLE as $$ SELECT coalesce(max(timeval), 0) FROM continuous_agg_test $$; SELECT set_integer_now_func('continuous_agg_test', 'integer_now_test1'); INSERT INTO continuous_agg_test VALUES (10, -4, 1), (11, -3, 5), (12, -3, 7), (13, -3, 9), (14, -4, 11), (15, -4, 22), (16, -4, 23); CREATE MATERIALIZED VIEW cagg_1( timed, cnt ) WITH (timescaledb.continuous, timescaledb.materialized_only = true) AS SELECT time_bucket( 2, timeval), COUNT(col1) FROM continuous_agg_test GROUP BY 1 WITH DATA; CREATE MATERIALIZED VIEW cagg_2( timed, maxval) WITH (timescaledb.continuous, timescaledb.materialized_only = true) AS SELECT time_bucket(2, timeval), max(col2) FROM continuous_agg_test GROUP BY 1 WITH NO DATA; --cagg_1 already refreshed on creation select * from cagg_1 order by 1; --partially refresh cagg_2 to 14 to test inserts that won't be seen in --one of the caggs CALL refresh_continuous_aggregate('cagg_2', NULL, 14); select * from cagg_2 order by 1; --this insert will be processed only by cagg_1 and copied over to cagg_2 insert into continuous_agg_test values( 14, -2, 100); CALL refresh_continuous_aggregate('cagg_1', NULL, NULL); select * from cagg_1 order by 1; CALL refresh_continuous_aggregate('cagg_2', NULL, 14); select * from cagg_2 order by 1; SET ROLE :ROLE_SUPERUSER; select * from _timescaledb_catalog.continuous_aggs_invalidation_threshold order by 1; select * from _timescaledb_catalog.continuous_aggs_materialization_invalidation_log order by 1; SET ROLE :ROLE_DEFAULT_PERM_USER; --this insert will be processed only by cagg_1 and cagg_2 will process the previous --one insert into continuous_agg_test values( 18, -2, 200); CALL refresh_continuous_aggregate('cagg_1', NULL, NULL); select * from cagg_1 order by 1; -- Now make changes visible up to 16 CALL refresh_continuous_aggregate('cagg_2', NULL, 16); select * from cagg_2 order by 1; --TEST5 2 inserts with the same value can be copied over to materialization invalidation log insert into continuous_agg_test values( 18, -2, 100); insert into continuous_agg_test values( 18, -2, 100); select * from _timescaledb_catalog.continuous_aggs_hypertable_invalidation_log order by 1; CALL refresh_continuous_aggregate('cagg_1', NULL, NULL); select * from cagg_1 where timed = 18 ; --copied over for cagg_2 to process later? select * from _timescaledb_catalog.continuous_aggs_materialization_invalidation_log order by 1; DROP MATERIALIZED VIEW cagg_1; DROP MATERIALIZED VIEW cagg_2; ----TEST7 multiple continuous aggregates with real time aggregates test---- create table foo (a integer, b integer, c integer); select table_name FROM create_hypertable('foo', 'a', chunk_time_interval=> 10); INSERT into foo values( 1 , 10 , 20); INSERT into foo values( 1 , 11 , 20); INSERT into foo values( 1 , 12 , 20); INSERT into foo values( 1 , 13 , 20); INSERT into foo values( 1 , 14 , 20); INSERT into foo values( 5 , 14 , 20); INSERT into foo values( 5 , 15 , 20); INSERT into foo values( 5 , 16 , 20); INSERT into foo values( 20 , 16 , 20); INSERT into foo values( 20 , 26 , 20); INSERT into foo values( 20 , 16 , 20); INSERT into foo values( 21 , 15 , 30); INSERT into foo values( 21 , 15 , 30); INSERT into foo values( 21 , 15 , 30); INSERT into foo values( 45 , 14 , 70); CREATE OR REPLACE FUNCTION integer_now_foo() returns int LANGUAGE SQL STABLE as $$ SELECT coalesce(max(a), 0) FROM foo $$; SELECT set_integer_now_func('foo', 'integer_now_foo'); CREATE MATERIALIZED VIEW mat_m1(a, countb) WITH (timescaledb.continuous) AS SELECT time_bucket(10, a), count(*) FROM foo GROUP BY time_bucket(10, a) WITH NO DATA; CREATE MATERIALIZED VIEW mat_m2(a, countb) WITH (timescaledb.continuous) AS SELECT time_bucket(5, a), count(*) FROM foo GROUP BY time_bucket(5, a) WITH NO DATA; select view_name, materialized_only from timescaledb_information.continuous_aggregates WHERE view_name::text like 'mat_m%' order by view_name; CALL refresh_continuous_aggregate('mat_m1', NULL, 35); CALL refresh_continuous_aggregate('mat_m2', NULL, NULL); -- the results from the view should match the direct query SELECT * from mat_m1 order by 1; SELECT time_bucket(5, a), count(*) FROM foo GROUP BY time_bucket(5, a) ORDER BY 1; SELECT * from mat_m2 order by 1; SELECT time_bucket(10, a), count(*) FROM foo GROUP BY time_bucket(10, a) ORDER BY 1;