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d8d392914a
Enable ALTER MATERIALIZED VIEW (timescaledb.compress) This enables compression on the underlying materialized hypertable. The segmentby and orderby columns for compression are based on the GROUP BY clause and time_bucket clause used while setting up the continuous aggregate. timescaledb_information.continuous_aggregate view defn change Add support for compression policy on continuous aggregates Move code from job.c to policy_utils.c Add support functions to check compression policy validity for continuous aggregates.
1200 lines
42 KiB
PL/PgSQL
1200 lines
42 KiB
PL/PgSQL
-- This file and its contents are licensed under the Timescale License.
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-- Please see the included NOTICE for copyright information and
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-- LICENSE-TIMESCALE for a copy of the license.
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-- initialize the bgw mock state to prevent the materialization workers from running
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\c :TEST_DBNAME :ROLE_SUPERUSER
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CREATE OR REPLACE FUNCTION ts_bgw_params_create() RETURNS VOID
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AS :MODULE_PATHNAME LANGUAGE C VOLATILE;
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CREATE OR REPLACE FUNCTION test.continuous_aggs_find_view(cagg REGCLASS) RETURNS VOID
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AS :TSL_MODULE_PATHNAME, 'ts_test_continuous_agg_find_by_view_name' LANGUAGE C;
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\set WAIT_ON_JOB 0
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\set IMMEDIATELY_SET_UNTIL 1
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\set WAIT_FOR_OTHER_TO_ADVANCE 2
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-- remove any default jobs, e.g., telemetry so bgw_job isn't polluted
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DELETE FROM _timescaledb_config.bgw_job WHERE TRUE;
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SET ROLE :ROLE_DEFAULT_PERM_USER;
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SELECT * FROM _timescaledb_config.bgw_job;
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--TEST1 ---
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--basic test with count
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create table foo (a integer, b integer, c integer);
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select table_name from create_hypertable('foo', 'a', chunk_time_interval=> 10);
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insert into foo values( 3 , 16 , 20);
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insert into foo values( 1 , 10 , 20);
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insert into foo values( 1 , 11 , 20);
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insert into foo values( 1 , 12 , 20);
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insert into foo values( 1 , 13 , 20);
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insert into foo values( 1 , 14 , 20);
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insert into foo values( 2 , 14 , 20);
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insert into foo values( 2 , 15 , 20);
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insert into foo values( 2 , 16 , 20);
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CREATE OR REPLACE FUNCTION integer_now_foo() returns int LANGUAGE SQL STABLE as $$ SELECT coalesce(max(a), 0) FROM foo $$;
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SELECT set_integer_now_func('foo', 'integer_now_foo');
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CREATE MATERIALIZED VIEW mat_m1(a, countb)
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WITH (timescaledb.continuous, timescaledb.materialized_only=true)
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as
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select a, count(b)
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from foo
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group by time_bucket(1, a), a WITH NO DATA;
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SELECT add_continuous_aggregate_policy('mat_m1', NULL, 2::integer, '12 h'::interval) AS job_id
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\gset
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SELECT * FROM _timescaledb_config.bgw_job;
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SELECT ca.raw_hypertable_id as "RAW_HYPERTABLE_ID",
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h.schema_name AS "MAT_SCHEMA_NAME",
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h.table_name AS "MAT_TABLE_NAME",
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partial_view_name as "PART_VIEW_NAME",
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partial_view_schema as "PART_VIEW_SCHEMA"
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FROM _timescaledb_catalog.continuous_agg ca
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INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
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WHERE user_view_name = 'mat_m1'
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\gset
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insert into :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
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select a, _timescaledb_internal.partialize_agg(count(b)),
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time_bucket(1, a)
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,1
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from foo
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group by time_bucket(1, a) , a ;
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select * from mat_m1 order by a ;
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--check triggers on user hypertable --
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SET ROLE :ROLE_SUPERUSER;
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select tgname, tgtype, tgenabled , relname from pg_trigger, pg_class
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where tgrelid = pg_class.oid and pg_class.relname like 'foo'
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order by tgname;
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SET ROLE :ROLE_DEFAULT_PERM_USER;
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-- TEST2 ---
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DROP MATERIALIZED VIEW mat_m1;
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SHOW enable_partitionwise_aggregate;
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SET enable_partitionwise_aggregate = on;
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SELECT * FROM _timescaledb_config.bgw_job;
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CREATE TABLE conditions (
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timec TIMESTAMPTZ NOT NULL,
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location TEXT NOT NULL,
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temperature DOUBLE PRECISION NULL,
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humidity DOUBLE PRECISION NULL
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);
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select table_name from create_hypertable( 'conditions', 'timec');
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insert into conditions values ( '2010-01-01 09:00:00-08', 'SFO', 55, 45);
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insert into conditions values ( '2010-01-02 09:00:00-08', 'por', 100, 100);
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insert into conditions values ( '2010-01-02 09:00:00-08', 'SFO', 65, 45);
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insert into conditions values ( '2010-01-02 09:00:00-08', 'NYC', 65, 45);
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insert into conditions values ( '2018-11-01 09:00:00-08', 'NYC', 45, 35);
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insert into conditions values ( '2018-11-02 09:00:00-08', 'NYC', 35, 15);
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CREATE MATERIALIZED VIEW mat_m1( timec, minl, sumt , sumh)
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WITH (timescaledb.continuous, timescaledb.materialized_only=true)
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as
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select time_bucket('1day', timec), min(location), sum(temperature),sum(humidity)
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from conditions
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group by time_bucket('1day', timec) WITH NO DATA;
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SELECT ca.raw_hypertable_id as "RAW_HYPERTABLE_ID",
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h.schema_name AS "MAT_SCHEMA_NAME",
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h.table_name AS "MAT_TABLE_NAME",
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partial_view_name as "PART_VIEW_NAME",
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partial_view_schema as "PART_VIEW_SCHEMA"
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FROM _timescaledb_catalog.continuous_agg ca
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INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
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WHERE user_view_name = 'mat_m1'
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\gset
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-- Materialized hypertable for mat_m1 should not be visible in the
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-- hypertables view:
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SELECT hypertable_schema, hypertable_name
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FROM timescaledb_information.hypertables ORDER BY 1,2;
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SET ROLE :ROLE_SUPERUSER;
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insert into :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
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select
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time_bucket('1day', timec), _timescaledb_internal.partialize_agg( min(location)), _timescaledb_internal.partialize_agg( sum(temperature)) , _timescaledb_internal.partialize_agg( sum(humidity))
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,1
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from conditions
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group by time_bucket('1day', timec) ;
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SET ROLE :ROLE_DEFAULT_PERM_USER;
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--should have same results --
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select timec, minl, sumt, sumh
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from mat_m1
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order by timec;
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select time_bucket('1day', timec), min(location), sum(temperature), sum(humidity)
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from conditions
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group by time_bucket('1day', timec)
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order by 1;
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SET enable_partitionwise_aggregate = off;
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-- TEST3 --
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-- drop on table conditions should cascade to materialized mat_v1
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drop table conditions cascade;
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CREATE TABLE conditions (
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timec TIMESTAMPTZ NOT NULL,
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location TEXT NOT NULL,
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temperature DOUBLE PRECISION NULL,
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humidity DOUBLE PRECISION NULL
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);
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select table_name from create_hypertable( 'conditions', 'timec');
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insert into conditions values ( '2010-01-01 09:00:00-08', 'SFO', 55, 45);
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insert into conditions values ( '2010-01-02 09:00:00-08', 'por', 100, 100);
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insert into conditions values ( '2010-01-02 09:00:00-08', 'NYC', 65, 45);
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insert into conditions values ( '2010-01-02 09:00:00-08', 'SFO', 65, 45);
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insert into conditions values ( '2010-01-03 09:00:00-08', 'NYC', 45, 55);
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insert into conditions values ( '2010-01-05 09:00:00-08', 'SFO', 75, 100);
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insert into conditions values ( '2018-11-01 09:00:00-08', 'NYC', 45, 35);
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insert into conditions values ( '2018-11-02 09:00:00-08', 'NYC', 35, 15);
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insert into conditions values ( '2018-11-03 09:00:00-08', 'NYC', 35, 25);
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CREATE MATERIALIZED VIEW mat_m1( timec, minl, sumth, stddevh)
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WITH (timescaledb.continuous, timescaledb.materialized_only=true)
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as
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select time_bucket('1week', timec) ,
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min(location), sum(temperature)+sum(humidity), stddev(humidity)
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from conditions
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group by time_bucket('1week', timec) WITH NO DATA;
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SELECT ca.raw_hypertable_id as "RAW_HYPERTABLE_ID",
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h.schema_name AS "MAT_SCHEMA_NAME",
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h.table_name AS "MAT_TABLE_NAME",
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partial_view_name as "PART_VIEW_NAME",
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partial_view_schema as "PART_VIEW_SCHEMA"
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FROM _timescaledb_catalog.continuous_agg ca
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INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
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WHERE user_view_name = 'mat_m1'
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\gset
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SET ROLE :ROLE_SUPERUSER;
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insert into :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
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select
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time_bucket('1week', timec), _timescaledb_internal.partialize_agg( min(location)), _timescaledb_internal.partialize_agg( sum(temperature)) , _timescaledb_internal.partialize_agg( sum(humidity)), _timescaledb_internal.partialize_agg(stddev(humidity))
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,1
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from conditions
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group by time_bucket('1week', timec) ;
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SET ROLE :ROLE_DEFAULT_PERM_USER;
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--should have same results --
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select timec, minl, sumth, stddevh
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from mat_m1
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order by timec;
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select time_bucket('1week', timec) ,
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min(location), sum(temperature)+ sum(humidity), stddev(humidity)
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from conditions
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group by time_bucket('1week', timec)
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order by time_bucket('1week', timec);
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-- TEST4 --
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--materialized view with group by clause + expression in SELECT
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-- use previous data from conditions
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--drop only the view.
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-- apply where clause on result of mat_m1 --
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DROP MATERIALIZED VIEW mat_m1;
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CREATE MATERIALIZED VIEW mat_m1( timec, minl, sumth, stddevh)
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WITH (timescaledb.continuous, timescaledb.materialized_only=true)
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as
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select time_bucket('1week', timec) ,
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min(location), sum(temperature)+sum(humidity), stddev(humidity)
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from conditions
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where location = 'NYC'
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group by time_bucket('1week', timec)
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WITH NO DATA;
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SELECT ca.raw_hypertable_id as "RAW_HYPERTABLE_ID",
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h.schema_name AS "MAT_SCHEMA_NAME",
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h.table_name AS "MAT_TABLE_NAME",
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partial_view_name as "PART_VIEW_NAME",
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partial_view_schema as "PART_VIEW_SCHEMA"
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FROM _timescaledb_catalog.continuous_agg ca
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INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
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WHERE user_view_name = 'mat_m1'
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\gset
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SET ROLE :ROLE_SUPERUSER;
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insert into :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
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select
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time_bucket('1week', timec), _timescaledb_internal.partialize_agg( min(location)), _timescaledb_internal.partialize_agg( sum(temperature)) , _timescaledb_internal.partialize_agg( sum(humidity)), _timescaledb_internal.partialize_agg(stddev(humidity))
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,1
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from conditions
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where location = 'NYC'
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group by time_bucket('1week', timec) ;
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SET ROLE :ROLE_DEFAULT_PERM_USER;
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--should have same results --
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select timec, minl, sumth, stddevh
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from mat_m1
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where stddevh is not null
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order by timec;
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select time_bucket('1week', timec) ,
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min(location), sum(temperature)+ sum(humidity), stddev(humidity)
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from conditions
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where location = 'NYC'
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group by time_bucket('1week', timec)
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order by time_bucket('1week', timec);
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-- TEST5 --
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---------test with having clause ----------------------
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DROP MATERIALIZED VIEW mat_m1;
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create materialized view mat_m1( timec, minl, sumth, stddevh)
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WITH (timescaledb.continuous, timescaledb.materialized_only=true)
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as
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select time_bucket('1week', timec) ,
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min(location), sum(temperature)+sum(humidity), stddev(humidity)
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from conditions
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group by time_bucket('1week', timec)
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having stddev(humidity) is not null WITH NO DATA;
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;
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SELECT ca.raw_hypertable_id as "RAW_HYPERTABLE_ID",
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h.schema_name AS "MAT_SCHEMA_NAME",
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h.table_name AS "MAT_TABLE_NAME",
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partial_view_name as "PART_VIEW_NAME",
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partial_view_schema as "PART_VIEW_SCHEMA"
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FROM _timescaledb_catalog.continuous_agg ca
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INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
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WHERE user_view_name = 'mat_m1'
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\gset
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SET ROLE :ROLE_SUPERUSER;
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insert into :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
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select
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time_bucket('1week', timec), _timescaledb_internal.partialize_agg( min(location)), _timescaledb_internal.partialize_agg( sum(temperature)) , _timescaledb_internal.partialize_agg( sum(humidity)), _timescaledb_internal.partialize_agg(stddev(humidity))
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,1
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from conditions
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group by time_bucket('1week', timec) ;
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SET ROLE :ROLE_DEFAULT_PERM_USER;
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-- should have same results --
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select * from mat_m1
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order by sumth;
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select time_bucket('1week', timec) ,
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min(location), sum(temperature)+sum(humidity), stddev(humidity)
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from conditions
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group by time_bucket('1week', timec)
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having stddev(humidity) is not null
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order by sum(temperature)+sum(humidity);
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-- TEST6 --
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--group by with more than 1 group column
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-- having clause with a mix of columns from select list + others
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drop table conditions cascade;
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CREATE TABLE conditions (
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timec TIMESTAMPTZ NOT NULL,
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location TEXT NOT NULL,
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temperature DOUBLE PRECISION NULL,
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humidity DOUBLE PRECISION NULL,
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lowp numeric NULL,
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highp numeric null
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);
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select table_name from create_hypertable( 'conditions', 'timec');
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insert into conditions
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select generate_series('2018-12-01 00:00'::timestamp, '2018-12-31 00:00'::timestamp, '1 day'), 'POR', 55, 75, 40, 70;
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insert into conditions
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select generate_series('2018-11-01 00:00'::timestamp, '2018-12-31 00:00'::timestamp, '1 day'), 'NYC', 35, 45, 50, 40;
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insert into conditions
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select generate_series('2018-11-01 00:00'::timestamp, '2018-12-15 00:00'::timestamp, '1 day'), 'LA', 73, 55, 71, 28;
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--naming with AS clauses
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CREATE MATERIALIZED VIEW mat_naming
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WITH (timescaledb.continuous, timescaledb.materialized_only=true)
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as
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select time_bucket('1week', timec) as bucket, location as loc, sum(temperature)+sum(humidity), stddev(humidity)
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from conditions
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group by bucket, loc
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having min(location) >= 'NYC' and avg(temperature) > 20 WITH NO DATA;
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SELECT ca.raw_hypertable_id as "RAW_HYPERTABLE_ID",
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h.schema_name AS "MAT_SCHEMA_NAME",
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h.table_name AS "MAT_TABLE_NAME",
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partial_view_name as "PART_VIEW_NAME",
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partial_view_schema as "PART_VIEW_SCHEMA"
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FROM _timescaledb_catalog.continuous_agg ca
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INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
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WHERE user_view_name = 'mat_naming'
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\gset
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select attnum , attname from pg_attribute
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where attnum > 0 and attrelid =
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(Select oid from pg_class where relname like :'MAT_TABLE_NAME')
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order by attnum, attname;
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DROP MATERIALIZED VIEW mat_naming;
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--naming with default names
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CREATE MATERIALIZED VIEW mat_naming
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WITH (timescaledb.continuous, timescaledb.materialized_only=true)
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as
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select time_bucket('1week', timec), location, sum(temperature)+sum(humidity), stddev(humidity)
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from conditions
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group by 1,2
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having min(location) >= 'NYC' and avg(temperature) > 20 WITH NO DATA;
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SELECT ca.raw_hypertable_id as "RAW_HYPERTABLE_ID",
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h.schema_name AS "MAT_SCHEMA_NAME",
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h.table_name AS "MAT_TABLE_NAME",
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partial_view_name as "PART_VIEW_NAME",
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partial_view_schema as "PART_VIEW_SCHEMA"
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FROM _timescaledb_catalog.continuous_agg ca
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INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
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WHERE user_view_name = 'mat_naming'
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\gset
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select attnum , attname from pg_attribute
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where attnum > 0 and attrelid =
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(Select oid from pg_class where relname like :'MAT_TABLE_NAME')
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order by attnum, attname;
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DROP MATERIALIZED VIEW mat_naming;
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--naming with view col names
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CREATE MATERIALIZED VIEW mat_naming(bucket, loc, sum_t_h, stdd)
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WITH (timescaledb.continuous, timescaledb.materialized_only=true)
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as
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select time_bucket('1week', timec), location, sum(temperature)+sum(humidity), stddev(humidity)
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from conditions
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group by 1,2
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having min(location) >= 'NYC' and avg(temperature) > 20 WITH NO DATA;
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SELECT ca.raw_hypertable_id as "RAW_HYPERTABLE_ID",
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h.schema_name AS "MAT_SCHEMA_NAME",
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h.table_name AS "MAT_TABLE_NAME",
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partial_view_name as "PART_VIEW_NAME",
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partial_view_schema as "PART_VIEW_SCHEMA"
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FROM _timescaledb_catalog.continuous_agg ca
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INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
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WHERE user_view_name = 'mat_naming'
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\gset
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select attnum , attname from pg_attribute
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where attnum > 0 and attrelid =
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(Select oid from pg_class where relname like :'MAT_TABLE_NAME')
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order by attnum, attname;
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DROP MATERIALIZED VIEW mat_naming;
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CREATE MATERIALIZED VIEW mat_m1(timec, minl, sumth, stddevh)
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WITH (timescaledb.continuous, timescaledb.materialized_only=true)
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as
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select time_bucket('1week', timec) ,
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min(location), sum(temperature)+sum(humidity), stddev(humidity)
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from conditions
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group by time_bucket('1week', timec)
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having min(location) >= 'NYC' and avg(temperature) > 20 WITH NO DATA;
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SELECT ca.raw_hypertable_id as "RAW_HYPERTABLE_ID",
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h.schema_name AS "MAT_SCHEMA_NAME",
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h.table_name AS "MAT_TABLE_NAME",
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partial_view_name as "PART_VIEW_NAME",
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partial_view_schema as "PART_VIEW_SCHEMA"
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FROM _timescaledb_catalog.continuous_agg ca
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INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
|
|
WHERE user_view_name = 'mat_m1'
|
|
\gset
|
|
|
|
select attnum , attname from pg_attribute
|
|
where attnum > 0 and attrelid =
|
|
(Select oid from pg_class where relname like :'MAT_TABLE_NAME')
|
|
order by attnum, attname;
|
|
|
|
SET ROLE :ROLE_SUPERUSER;
|
|
insert into :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
|
|
select
|
|
time_bucket('1week', timec), _timescaledb_internal.partialize_agg( min(location)), _timescaledb_internal.partialize_agg( sum(temperature)) , _timescaledb_internal.partialize_agg( sum(humidity)), _timescaledb_internal.partialize_agg(stddev(humidity))
|
|
,_timescaledb_internal.partialize_agg( avg(temperature))
|
|
,1
|
|
from conditions
|
|
group by time_bucket('1week', timec) ;
|
|
SET ROLE :ROLE_DEFAULT_PERM_USER;
|
|
|
|
--should have same results --
|
|
select timec, minl, sumth, stddevh
|
|
from mat_m1
|
|
order by timec, minl;
|
|
|
|
select time_bucket('1week', timec) ,
|
|
min(location), sum(temperature)+sum(humidity), stddev(humidity)
|
|
from conditions
|
|
group by time_bucket('1week', timec)
|
|
having min(location) >= 'NYC' and avg(temperature) > 20 and avg(lowp) > 10
|
|
order by time_bucket('1week', timec), min(location);
|
|
|
|
--check view defintion in information views
|
|
select view_name, view_definition from timescaledb_information.continuous_aggregates
|
|
where view_name::text like 'mat_m1';
|
|
|
|
--TEST6 -- select from internal view
|
|
|
|
SET ROLE :ROLE_SUPERUSER;
|
|
insert into :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
|
|
select * from :"PART_VIEW_SCHEMA".:"PART_VIEW_NAME";
|
|
SET ROLE :ROLE_DEFAULT_PERM_USER;
|
|
|
|
--lets drop the view and check
|
|
DROP MATERIALIZED VIEW mat_m1;
|
|
|
|
drop table conditions;
|
|
CREATE TABLE conditions (
|
|
timec TIMESTAMPTZ NOT NULL,
|
|
location TEXT NOT NULL,
|
|
temperature DOUBLE PRECISION NULL,
|
|
humidity DOUBLE PRECISION NULL,
|
|
lowp double precision NULL,
|
|
highp double precision null,
|
|
allnull double precision null
|
|
);
|
|
|
|
select table_name from create_hypertable( 'conditions', 'timec');
|
|
|
|
insert into conditions
|
|
select generate_series('2018-12-01 00:00'::timestamp, '2018-12-31 00:00'::timestamp, '1 day'), 'POR', 55, 75, 40, 70, NULL;
|
|
insert into conditions
|
|
select generate_series('2018-11-01 00:00'::timestamp, '2018-12-31 00:00'::timestamp, '1 day'), 'NYC', 35, 45, 50, 40, NULL;
|
|
insert into conditions
|
|
select generate_series('2018-11-01 00:00'::timestamp, '2018-12-15 00:00'::timestamp, '1 day'), 'LA', 73, 55, NULL, 28, NULL;
|
|
|
|
|
|
SELECT
|
|
$$
|
|
select time_bucket('1week', timec) ,
|
|
min(location) as col1, sum(temperature)+sum(humidity) as col2, stddev(humidity) as col3, min(allnull) as col4
|
|
from conditions
|
|
group by time_bucket('1week', timec)
|
|
having min(location) >= 'NYC' and avg(temperature) > 20
|
|
$$ AS "QUERY"
|
|
\gset
|
|
|
|
|
|
\set ECHO errors
|
|
\ir include/cont_agg_equal.sql
|
|
\set ECHO all
|
|
|
|
SELECT
|
|
$$
|
|
select time_bucket('1week', timec), location,
|
|
sum(temperature)+sum(humidity) as col2, stddev(humidity) as col3, min(allnull) as col4
|
|
from conditions
|
|
group by location, time_bucket('1week', timec)
|
|
$$ AS "QUERY"
|
|
\gset
|
|
|
|
\set ECHO errors
|
|
\ir include/cont_agg_equal.sql
|
|
\set ECHO all
|
|
|
|
--TEST7 -- drop tests for view and hypertable
|
|
--DROP tests
|
|
\set ON_ERROR_STOP 0
|
|
SELECT h.schema_name AS "MAT_SCHEMA_NAME",
|
|
h.table_name AS "MAT_TABLE_NAME",
|
|
partial_view_name as "PART_VIEW_NAME",
|
|
partial_view_schema as "PART_VIEW_SCHEMA",
|
|
direct_view_name as "DIR_VIEW_NAME",
|
|
direct_view_schema as "DIR_VIEW_SCHEMA"
|
|
FROM _timescaledb_catalog.continuous_agg ca
|
|
INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
|
|
WHERE user_view_name = 'mat_test'
|
|
\gset
|
|
|
|
DROP TABLE :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME";
|
|
DROP VIEW :"PART_VIEW_SCHEMA".:"PART_VIEW_NAME";
|
|
DROP VIEW :"DIR_VIEW_SCHEMA".:"DIR_VIEW_NAME";
|
|
\set ON_ERROR_STOP 1
|
|
|
|
--catalog entry still there;
|
|
SELECT count(*)
|
|
FROM _timescaledb_catalog.continuous_agg ca
|
|
WHERE user_view_name = 'mat_test';
|
|
|
|
--mat table, user_view, direct view and partial view all there
|
|
select count(*) from pg_class where relname = :'PART_VIEW_NAME';
|
|
select count(*) from pg_class where relname = :'MAT_TABLE_NAME';
|
|
select count(*) from pg_class where relname = :'DIR_VIEW_NAME';
|
|
select count(*) from pg_class where relname = 'mat_test';
|
|
|
|
DROP MATERIALIZED VIEW mat_test;
|
|
|
|
--catalog entry should be gone
|
|
SELECT count(*)
|
|
FROM _timescaledb_catalog.continuous_agg ca
|
|
WHERE user_view_name = 'mat_test';
|
|
|
|
--mat table, user_view, direct view and partial view all gone
|
|
select count(*) from pg_class where relname = :'PART_VIEW_NAME';
|
|
select count(*) from pg_class where relname = :'MAT_TABLE_NAME';
|
|
select count(*) from pg_class where relname = :'DIR_VIEW_NAME';
|
|
select count(*) from pg_class where relname = 'mat_test';
|
|
|
|
|
|
--test dropping raw table
|
|
DROP TABLE conditions;
|
|
CREATE TABLE conditions (
|
|
timec TIMESTAMPTZ NOT NULL,
|
|
location TEXT NOT NULL,
|
|
temperature DOUBLE PRECISION NULL,
|
|
humidity DOUBLE PRECISION NULL,
|
|
lowp double precision NULL,
|
|
highp double precision null,
|
|
allnull double precision null
|
|
);
|
|
|
|
select table_name from create_hypertable( 'conditions', 'timec');
|
|
|
|
--no data in hyper table on purpose so that CASCADE is not required because of chunks
|
|
|
|
CREATE MATERIALIZED VIEW mat_drop_test(timec, minl, sumt , sumh)
|
|
WITH (timescaledb.continuous, timescaledb.materialized_only=true)
|
|
as
|
|
select time_bucket('1day', timec), min(location), sum(temperature),sum(humidity)
|
|
from conditions
|
|
group by time_bucket('1day', timec) WITH NO DATA;
|
|
|
|
\set ON_ERROR_STOP 0
|
|
DROP TABLE conditions;
|
|
\set ON_ERROR_STOP 1
|
|
|
|
--insert data now
|
|
|
|
insert into conditions
|
|
select generate_series('2018-12-01 00:00'::timestamp, '2018-12-31 00:00'::timestamp, '1 day'), 'POR', 55, 75, 40, 70, NULL;
|
|
insert into conditions
|
|
select generate_series('2018-11-01 00:00'::timestamp, '2018-12-31 00:00'::timestamp, '1 day'), 'NYC', 35, 45, 50, 40, NULL;
|
|
insert into conditions
|
|
select generate_series('2018-11-01 00:00'::timestamp, '2018-12-15 00:00'::timestamp, '1 day'), 'LA', 73, 55, NULL, 28, NULL;
|
|
|
|
|
|
SELECT ca.raw_hypertable_id as "RAW_HYPERTABLE_ID",
|
|
h.schema_name AS "MAT_SCHEMA_NAME",
|
|
h.table_name AS "MAT_TABLE_NAME",
|
|
partial_view_name as "PART_VIEW_NAME",
|
|
partial_view_schema as "PART_VIEW_SCHEMA"
|
|
FROM _timescaledb_catalog.continuous_agg ca
|
|
INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
|
|
WHERE user_view_name = 'mat_drop_test'
|
|
\gset
|
|
|
|
SET client_min_messages TO LOG;
|
|
CALL refresh_continuous_aggregate('mat_drop_test', NULL, NULL);
|
|
|
|
--force invalidation
|
|
insert into conditions
|
|
select generate_series('2017-11-01 00:00'::timestamp, '2017-12-15 00:00'::timestamp, '1 day'), 'LA', 73, 55, NULL, 28, NULL;
|
|
|
|
select count(*) from _timescaledb_catalog.continuous_aggs_invalidation_threshold;
|
|
select count(*) from _timescaledb_catalog.continuous_aggs_hypertable_invalidation_log;
|
|
|
|
DROP TABLE conditions CASCADE;
|
|
|
|
--catalog entry should be gone
|
|
SELECT count(*)
|
|
FROM _timescaledb_catalog.continuous_agg ca
|
|
WHERE user_view_name = 'mat_drop_test';
|
|
select count(*) from _timescaledb_catalog.continuous_aggs_invalidation_threshold;
|
|
select count(*) from _timescaledb_catalog.continuous_aggs_hypertable_invalidation_log;
|
|
select count(*) from _timescaledb_catalog.continuous_aggs_materialization_invalidation_log;
|
|
|
|
SELECT * FROM _timescaledb_config.bgw_job;
|
|
|
|
--mat table, user_view, and partial view all gone
|
|
select count(*) from pg_class where relname = :'PART_VIEW_NAME';
|
|
select count(*) from pg_class where relname = :'MAT_TABLE_NAME';
|
|
select count(*) from pg_class where relname = 'mat_drop_test';
|
|
|
|
--TEST With options
|
|
|
|
CREATE TABLE conditions (
|
|
timec TIMESTAMPTZ NOT NULL,
|
|
location TEXT NOT NULL,
|
|
temperature DOUBLE PRECISION NULL,
|
|
humidity DOUBLE PRECISION NULL,
|
|
lowp double precision NULL,
|
|
highp double precision null,
|
|
allnull double precision null
|
|
);
|
|
|
|
select table_name from create_hypertable( 'conditions', 'timec');
|
|
|
|
CREATE MATERIALIZED VIEW mat_with_test(timec, minl, sumt , sumh)
|
|
WITH (timescaledb.continuous,
|
|
timescaledb.materialized_only=true)
|
|
as
|
|
select time_bucket('1day', timec), min(location), sum(temperature),sum(humidity)
|
|
from conditions
|
|
group by time_bucket('1day', timec), location, humidity, temperature WITH NO DATA;
|
|
|
|
SELECT add_continuous_aggregate_policy('mat_with_test', NULL, '5 h'::interval, '12 h'::interval);
|
|
SELECT alter_job(id, schedule_interval => '1h') FROM _timescaledb_config.bgw_job;
|
|
SELECT schedule_interval FROM _timescaledb_config.bgw_job;
|
|
|
|
SELECT alter_job(id, schedule_interval => '2h') FROM _timescaledb_config.bgw_job;
|
|
SELECT schedule_interval FROM _timescaledb_config.bgw_job;
|
|
|
|
select indexname, indexdef from pg_indexes where tablename =
|
|
(SELECT h.table_name
|
|
FROM _timescaledb_catalog.continuous_agg ca
|
|
INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
|
|
WHERE user_view_name = 'mat_with_test')
|
|
order by indexname;
|
|
|
|
DROP MATERIALIZED VIEW mat_with_test;
|
|
--no additional indexes
|
|
CREATE MATERIALIZED VIEW mat_with_test(timec, minl, sumt , sumh)
|
|
WITH (timescaledb.continuous,
|
|
timescaledb.materialized_only=true,
|
|
timescaledb.create_group_indexes=false)
|
|
as
|
|
select time_bucket('1day', timec), min(location), sum(temperature),sum(humidity)
|
|
from conditions
|
|
group by time_bucket('1day', timec), location, humidity, temperature WITH NO DATA;
|
|
|
|
select indexname, indexdef from pg_indexes where tablename =
|
|
(SELECT h.table_name
|
|
FROM _timescaledb_catalog.continuous_agg ca
|
|
INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
|
|
WHERE user_view_name = 'mat_with_test');
|
|
|
|
DROP TABLE conditions CASCADE;
|
|
|
|
--test WITH using a hypertable with an integer time dimension
|
|
CREATE TABLE conditions (
|
|
timec INT NOT NULL,
|
|
location TEXT NOT NULL,
|
|
temperature DOUBLE PRECISION NULL,
|
|
humidity DOUBLE PRECISION NULL,
|
|
lowp double precision NULL,
|
|
highp double precision null,
|
|
allnull double precision null
|
|
);
|
|
|
|
select table_name from create_hypertable( 'conditions', 'timec', chunk_time_interval=> 100);
|
|
|
|
CREATE OR REPLACE FUNCTION integer_now_conditions() returns int LANGUAGE SQL STABLE as $$ SELECT coalesce(max(timec), 0) FROM conditions $$;
|
|
SELECT set_integer_now_func('conditions', 'integer_now_conditions');
|
|
|
|
CREATE MATERIALIZED VIEW mat_with_test(timec, minl, sumt , sumh)
|
|
WITH (timescaledb.continuous,
|
|
timescaledb.materialized_only=true)
|
|
as
|
|
select time_bucket(100, timec), min(location), sum(temperature),sum(humidity)
|
|
from conditions
|
|
group by time_bucket(100, timec) WITH NO DATA;
|
|
|
|
SELECT add_continuous_aggregate_policy('mat_with_test', NULL, 500::integer, '12 h'::interval);
|
|
SELECT alter_job(id, schedule_interval => '2h') FROM _timescaledb_config.bgw_job;
|
|
|
|
SELECT schedule_interval FROM _timescaledb_config.bgw_job;
|
|
|
|
DROP TABLE conditions CASCADE;
|
|
|
|
|
|
--test space partitions
|
|
CREATE TABLE space_table (
|
|
time BIGINT,
|
|
dev BIGINT,
|
|
data BIGINT
|
|
);
|
|
|
|
SELECT create_hypertable(
|
|
'space_table',
|
|
'time',
|
|
chunk_time_interval => 10,
|
|
partitioning_column => 'dev',
|
|
number_partitions => 3);
|
|
|
|
CREATE OR REPLACE FUNCTION integer_now_space_table() returns BIGINT LANGUAGE SQL STABLE as $$ SELECT coalesce(max(time), BIGINT '0') FROM space_table $$;
|
|
SELECT set_integer_now_func('space_table', 'integer_now_space_table');
|
|
|
|
CREATE MATERIALIZED VIEW space_view
|
|
WITH (timescaledb.continuous,
|
|
timescaledb.materialized_only=true)
|
|
AS SELECT time_bucket('4', time), COUNT(data)
|
|
FROM space_table
|
|
GROUP BY 1 WITH NO DATA;
|
|
|
|
INSERT INTO space_table VALUES
|
|
(0, 1, 1), (0, 2, 1), (1, 1, 1), (1, 2, 1),
|
|
(10, 1, 1), (10, 2, 1), (11, 1, 1), (11, 2, 1);
|
|
|
|
SELECT h.schema_name AS "MAT_SCHEMA_NAME",
|
|
h.table_name AS "MAT_TABLE_NAME",
|
|
partial_view_name as "PART_VIEW_NAME",
|
|
partial_view_schema as "PART_VIEW_SCHEMA",
|
|
direct_view_name as "DIR_VIEW_NAME",
|
|
direct_view_schema as "DIR_VIEW_SCHEMA"
|
|
FROM _timescaledb_catalog.continuous_agg ca
|
|
INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
|
|
WHERE user_view_name = 'space_view'
|
|
\gset
|
|
|
|
SELECT * FROM :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
|
|
ORDER BY time_bucket, chunk_id;
|
|
|
|
|
|
CALL refresh_continuous_aggregate('space_view', NULL, NULL);
|
|
|
|
SELECT * FROM space_view ORDER BY 1;
|
|
|
|
SELECT * FROM :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
|
|
ORDER BY time_bucket, chunk_id;
|
|
|
|
|
|
INSERT INTO space_table VALUES (3, 2, 1);
|
|
|
|
CALL refresh_continuous_aggregate('space_view', NULL, NULL);
|
|
|
|
SELECT * FROM space_view ORDER BY 1;
|
|
|
|
SELECT * FROM :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
|
|
ORDER BY time_bucket, chunk_id;
|
|
|
|
|
|
INSERT INTO space_table VALUES (2, 3, 1);
|
|
|
|
CALL refresh_continuous_aggregate('space_view', NULL, NULL);
|
|
|
|
SELECT * FROM space_view ORDER BY 1;
|
|
|
|
SELECT * FROM :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
|
|
ORDER BY time_bucket, chunk_id;
|
|
|
|
|
|
DROP TABLE space_table CASCADE;
|
|
|
|
--
|
|
-- TEST FINALIZEFUNC_EXTRA
|
|
--
|
|
|
|
-- create special aggregate to test ffunc_extra
|
|
-- Raise warning with the actual type being passed in
|
|
CREATE OR REPLACE FUNCTION fake_ffunc(a int8, b int, c int, d int, x anyelement)
|
|
RETURNS anyelement AS $$
|
|
BEGIN
|
|
RAISE WARNING 'type % %', pg_typeof(d), pg_typeof(x);
|
|
RETURN x;
|
|
END;
|
|
$$
|
|
LANGUAGE plpgsql;
|
|
|
|
CREATE OR REPLACE FUNCTION fake_sfunc(a int8, b int, c int, d int, x anyelement)
|
|
RETURNS int8 AS $$
|
|
BEGIN
|
|
RETURN b;
|
|
END; $$
|
|
LANGUAGE plpgsql;
|
|
|
|
|
|
CREATE AGGREGATE aggregate_to_test_ffunc_extra(int, int, int, anyelement) (
|
|
SFUNC = fake_sfunc,
|
|
STYPE = int8,
|
|
COMBINEFUNC = int8pl,
|
|
FINALFUNC = fake_ffunc,
|
|
PARALLEL = SAFE,
|
|
FINALFUNC_EXTRA
|
|
);
|
|
|
|
CREATE TABLE conditions (
|
|
timec INT NOT NULL,
|
|
location TEXT NOT NULL,
|
|
temperature DOUBLE PRECISION NULL,
|
|
humidity DOUBLE PRECISION NULL,
|
|
lowp double precision NULL,
|
|
highp double precision null,
|
|
allnull double precision null
|
|
);
|
|
|
|
select table_name from create_hypertable( 'conditions', 'timec', chunk_time_interval=> 100);
|
|
|
|
CREATE OR REPLACE FUNCTION integer_now_conditions() returns int LANGUAGE SQL STABLE as $$ SELECT coalesce(max(timec), 0) FROM conditions $$;
|
|
SELECT set_integer_now_func('conditions', 'integer_now_conditions');
|
|
|
|
insert into conditions
|
|
select generate_series(0, 200, 10), 'POR', 55, 75, 40, 70, NULL;
|
|
|
|
|
|
CREATE MATERIALIZED VIEW mat_ffunc_test
|
|
WITH (timescaledb.continuous, timescaledb.materialized_only=true)
|
|
as
|
|
select time_bucket(100, timec), aggregate_to_test_ffunc_extra(timec, 1, 3, 'test'::text)
|
|
from conditions
|
|
group by time_bucket(100, timec);
|
|
|
|
SELECT * FROM mat_ffunc_test;
|
|
|
|
DROP MATERIALIZED view mat_ffunc_test;
|
|
|
|
CREATE MATERIALIZED VIEW mat_ffunc_test
|
|
WITH (timescaledb.continuous, timescaledb.materialized_only=true)
|
|
as
|
|
select time_bucket(100, timec), aggregate_to_test_ffunc_extra(timec, 4, 5, bigint '123')
|
|
from conditions
|
|
group by time_bucket(100, timec);
|
|
|
|
SELECT * FROM mat_ffunc_test;
|
|
|
|
--refresh mat view test when time_bucket is not projected --
|
|
DROP MATERIALIZED VIEW mat_ffunc_test;
|
|
CREATE MATERIALIZED VIEW mat_refresh_test
|
|
WITH (timescaledb.continuous, timescaledb.materialized_only=true)
|
|
as
|
|
select location, max(humidity)
|
|
from conditions
|
|
group by time_bucket(100, timec), location WITH NO DATA;
|
|
|
|
insert into conditions
|
|
select generate_series(0, 50, 10), 'NYC', 55, 75, 40, 70, NULL;
|
|
|
|
CALL refresh_continuous_aggregate('mat_refresh_test', NULL, NULL);
|
|
SELECT * FROM mat_refresh_test order by 1,2 ;
|
|
|
|
-- test for bug when group by is not in project list
|
|
CREATE MATERIALIZED VIEW conditions_grpby_view with (timescaledb.continuous) as
|
|
select time_bucket(100, timec), sum(humidity)
|
|
from conditions
|
|
group by time_bucket(100, timec), location;
|
|
select * from conditions_grpby_view order by 1, 2;
|
|
|
|
CREATE MATERIALIZED VIEW conditions_grpby_view2 with (timescaledb.continuous) as
|
|
select time_bucket(100, timec), sum(humidity)
|
|
from conditions
|
|
group by time_bucket(100, timec), location
|
|
having avg(temperature) > 0;
|
|
|
|
select * from conditions_grpby_view2 order by 1, 2;
|
|
|
|
-- Test internal functions for continuous aggregates
|
|
SELECT test.continuous_aggs_find_view('mat_refresh_test');
|
|
|
|
-- Test pseudotype/enum handling
|
|
CREATE TYPE status_enum AS ENUM (
|
|
'red',
|
|
'yellow',
|
|
'green'
|
|
);
|
|
|
|
CREATE TABLE cagg_types (
|
|
time TIMESTAMPTZ NOT NULL,
|
|
status status_enum,
|
|
names NAME[],
|
|
floats FLOAT[]
|
|
);
|
|
|
|
SELECT
|
|
table_name
|
|
FROM
|
|
create_hypertable('cagg_types', 'time');
|
|
|
|
INSERT INTO cagg_types
|
|
SELECT
|
|
'2000-01-01',
|
|
'yellow',
|
|
'{foo,bar,baz}',
|
|
'{1,2.5,3}';
|
|
|
|
CREATE MATERIALIZED VIEW mat_types WITH (timescaledb.continuous) AS
|
|
SELECT
|
|
time_bucket('1d', time),
|
|
min(status) AS status,
|
|
max(names) AS names,
|
|
min(floats) AS floats
|
|
FROM
|
|
cagg_types
|
|
GROUP BY
|
|
1;
|
|
|
|
CALL refresh_continuous_aggregate('mat_types',NULL,NULL);
|
|
SELECT * FROM mat_types;
|
|
|
|
-------------------------------------------------------------------------------------
|
|
-- Test issue #2616 where cagg view contains an experssion with several aggregates in
|
|
|
|
CREATE TABLE water_consumption
|
|
(
|
|
sensor_id integer NOT NULL,
|
|
timestamp timestamp(0) NOT NULL,
|
|
water_index integer
|
|
);
|
|
|
|
SELECT create_hypertable('water_consumption', 'timestamp', 'sensor_id', 2);
|
|
|
|
INSERT INTO public.water_consumption (sensor_id, timestamp, water_index) VALUES
|
|
(1, '2010-11-03 09:42:30', 1030),
|
|
(1, '2010-11-03 09:42:40', 1032),
|
|
(1, '2010-11-03 09:42:50', 1035),
|
|
(1, '2010-11-03 09:43:30', 1040),
|
|
(1, '2010-11-03 09:43:40', 1045),
|
|
(1, '2010-11-03 09:43:50', 1050),
|
|
(1, '2010-11-03 09:44:30', 1052),
|
|
(1, '2010-11-03 09:44:40', 1057),
|
|
(1, '2010-11-03 09:44:50', 1060),
|
|
(1, '2010-11-03 09:45:30', 1063),
|
|
(1, '2010-11-03 09:45:40', 1067),
|
|
(1, '2010-11-03 09:45:50', 1070);
|
|
|
|
-- The test with the view originally reported in the issue.
|
|
CREATE MATERIALIZED VIEW water_consumption_aggregation_minute
|
|
WITH (timescaledb.continuous, timescaledb.materialized_only = TRUE)
|
|
AS
|
|
SELECT sensor_id,
|
|
time_bucket(INTERVAL '1 minute', timestamp) + '1 minute' AS timestamp,
|
|
(max(water_index) - min(water_index)) AS water_consumption
|
|
FROM water_consumption
|
|
GROUP BY sensor_id, time_bucket(INTERVAL '1 minute', timestamp)
|
|
WITH NO DATA;
|
|
|
|
CALL refresh_continuous_aggregate('water_consumption_aggregation_minute', NULL, NULL);
|
|
|
|
-- The results of the view and the query over hypertable should be the same
|
|
SELECT * FROM water_consumption_aggregation_minute ORDER BY water_consumption;
|
|
SELECT sensor_id,
|
|
time_bucket(INTERVAL '1 minute', timestamp) + '1 minute' AS timestamp,
|
|
(max(water_index) - min(water_index)) AS water_consumption
|
|
FROM water_consumption
|
|
GROUP BY sensor_id, time_bucket(INTERVAL '1 minute', timestamp)
|
|
ORDER BY water_consumption;
|
|
|
|
-- Simplified test, where the view doesn't contain all group by clauses
|
|
CREATE MATERIALIZED VIEW water_consumption_no_select_bucket
|
|
WITH (timescaledb.continuous, timescaledb.materialized_only = TRUE)
|
|
AS
|
|
SELECT sensor_id,
|
|
(max(water_index) - min(water_index)) AS water_consumption
|
|
FROM water_consumption
|
|
GROUP BY sensor_id, time_bucket(INTERVAL '1 minute', timestamp)
|
|
WITH NO DATA;
|
|
|
|
CALL refresh_continuous_aggregate('water_consumption_no_select_bucket', NULL, NULL);
|
|
|
|
-- The results of the view and the query over hypertable should be the same
|
|
SELECT * FROM water_consumption_no_select_bucket ORDER BY water_consumption;
|
|
SELECT sensor_id,
|
|
(max(water_index) - min(water_index)) AS water_consumption
|
|
FROM water_consumption
|
|
GROUP BY sensor_id, time_bucket(INTERVAL '1 minute', timestamp)
|
|
ORDER BY water_consumption;
|
|
|
|
-- The test with SELECT matching GROUP BY and placing aggregate expression not the last
|
|
CREATE MATERIALIZED VIEW water_consumption_aggregation_no_addition
|
|
WITH (timescaledb.continuous, timescaledb.materialized_only = TRUE)
|
|
AS
|
|
SELECT sensor_id,
|
|
(max(water_index) - min(water_index)) AS water_consumption,
|
|
time_bucket(INTERVAL '1 minute', timestamp) AS timestamp
|
|
FROM water_consumption
|
|
GROUP BY sensor_id, time_bucket(INTERVAL '1 minute', timestamp)
|
|
WITH NO DATA;
|
|
|
|
CALL refresh_continuous_aggregate('water_consumption_aggregation_no_addition', NULL, NULL);
|
|
|
|
-- The results of the view and the query over hypertable should be the same
|
|
SELECT * FROM water_consumption_aggregation_no_addition ORDER BY water_consumption;
|
|
SELECT sensor_id,
|
|
(max(water_index) - min(water_index)) AS water_consumption,
|
|
time_bucket(INTERVAL '1 minute', timestamp) AS timestamp
|
|
FROM water_consumption
|
|
GROUP BY sensor_id, time_bucket(INTERVAL '1 minute', timestamp)
|
|
ORDER BY water_consumption;
|
|
|
|
DROP TABLE water_consumption CASCADE;
|
|
|
|
----
|
|
--- github issue 2655 ---
|
|
create table raw_data(time timestamptz, search_query text, cnt integer, cnt2 integer);
|
|
select create_hypertable('raw_data','time', chunk_time_interval=>'15 days'::interval);
|
|
insert into raw_data select '2000-01-01','Q1';
|
|
|
|
--having has exprs that appear in select
|
|
CREATE MATERIALIZED VIEW search_query_count_1m WITH (timescaledb.continuous)
|
|
AS
|
|
SELECT search_query,count(search_query) as count,
|
|
time_bucket(INTERVAL '1 minute', time) AS bucket
|
|
FROM raw_data
|
|
WHERE search_query is not null AND LENGTH(TRIM(both from search_query))>0
|
|
GROUP BY search_query, bucket HAVING count(search_query) > 3 OR sum(cnt) > 1;
|
|
|
|
--having has aggregates + grp by columns that appear in select
|
|
CREATE MATERIALIZED VIEW search_query_count_2 WITH (timescaledb.continuous)
|
|
AS
|
|
SELECT search_query,count(search_query) as count, sum(cnt),
|
|
time_bucket(INTERVAL '1 minute', time) AS bucket
|
|
FROM raw_data
|
|
WHERE search_query is not null AND LENGTH(TRIM(both from search_query))>0
|
|
GROUP BY search_query, bucket
|
|
HAVING count(search_query) > 3 OR sum(cnt) > 1 OR
|
|
( sum(cnt) + count(cnt)) > 1
|
|
AND search_query = 'Q1';
|
|
|
|
CREATE MATERIALIZED VIEW search_query_count_3 WITH (timescaledb.continuous)
|
|
AS
|
|
SELECT search_query,count(search_query) as count, sum(cnt),
|
|
time_bucket(INTERVAL '1 minute', time) AS bucket
|
|
FROM raw_data
|
|
WHERE search_query is not null AND LENGTH(TRIM(both from search_query))>0
|
|
GROUP BY cnt +cnt2 , bucket, search_query
|
|
HAVING cnt + cnt2 + sum(cnt) > 2 or count(cnt2) > 10;
|
|
|
|
insert into raw_data select '2000-01-01 00:00+0','Q1', 1, 100;
|
|
insert into raw_data select '2000-01-01 00:00+0','Q1', 2, 200;
|
|
insert into raw_data select '2000-01-01 00:00+0','Q1', 3, 300;
|
|
insert into raw_data select '2000-01-02 00:00+0','Q2', 10, 10;
|
|
insert into raw_data select '2000-01-02 00:00+0','Q2', 20, 20;
|
|
|
|
CALL refresh_continuous_aggregate('search_query_count_1m', NULL, NULL);
|
|
SELECT * FROM search_query_count_1m ORDER BY 1, 2;
|
|
|
|
--only 1 of these should appear in the result
|
|
insert into raw_data select '2000-01-02 00:00+0','Q3', 0, 0;
|
|
insert into raw_data select '2000-01-03 00:00+0','Q4', 20, 20;
|
|
|
|
CALL refresh_continuous_aggregate('search_query_count_1m', NULL, NULL);
|
|
SELECT * FROM search_query_count_1m ORDER BY 1, 2;
|
|
|
|
--refresh search_query_count_2---
|
|
CALL refresh_continuous_aggregate('search_query_count_2', NULL, NULL);
|
|
SELECT * FROM search_query_count_2 ORDER BY 1, 2;
|
|
|
|
--refresh search_query_count_3---
|
|
CALL refresh_continuous_aggregate('search_query_count_3', NULL, NULL);
|
|
SELECT * FROM search_query_count_3 ORDER BY 1, 2, 3;
|
|
|
|
--- TEST enable compression on continuous aggregates
|
|
CREATE VIEW cagg_compression_status as
|
|
SELECT ca.mat_hypertable_id AS mat_htid,
|
|
ca.user_view_name AS cagg_name ,
|
|
h.schema_name AS mat_schema_name,
|
|
h.table_name AS mat_table_name,
|
|
ca.materialized_only
|
|
FROM _timescaledb_catalog.continuous_agg ca
|
|
INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
|
|
;
|
|
SELECT mat_htid AS "MAT_HTID"
|
|
, mat_schema_name || '.' || mat_table_name AS "MAT_HTNAME"
|
|
, mat_table_name AS "MAT_TABLE_NAME"
|
|
FROM cagg_compression_status
|
|
WHERE cagg_name = 'search_query_count_3' \gset
|
|
|
|
ALTER MATERIALIZED VIEW search_query_count_3 SET (timescaledb.compress = 'true');
|
|
SELECT cagg_name, mat_table_name
|
|
FROM cagg_compression_status where cagg_name = 'search_query_count_3';
|
|
\x
|
|
SELECT * FROM timescaledb_information.compression_settings
|
|
WHERE hypertable_name = :'MAT_TABLE_NAME';
|
|
\x
|
|
|
|
SELECT compress_chunk(ch)
|
|
FROM show_chunks('search_query_count_3') ch;
|
|
|
|
SELECT * from search_query_count_3 ORDER BY 1, 2, 3;
|
|
|
|
-- insert into a new region of the hypertable and then refresh the cagg
|
|
-- (note we still do not support refreshes into existing regions.
|
|
-- cagg chunks do not map 1-1 to hypertabl regions. They encompass
|
|
-- more data
|
|
-- ).
|
|
insert into raw_data select '2000-05-01 00:00+0','Q3', 0, 0;
|
|
|
|
--this one fails now
|
|
\set ON_ERROR_STOP 0
|
|
CALL refresh_continuous_aggregate('search_query_count_3', NULL, '2000-06-01 00:00+0'::timestamptz);
|
|
CALL refresh_continuous_aggregate('search_query_count_3', '2000-05-01 00:00+0'::timestamptz, '2000-06-01 00:00+0'::timestamptz);
|
|
\set ON_ERROR_STOP 1
|
|
|
|
--insert row
|
|
insert into raw_data select '2001-05-10 00:00+0','Q3', 100, 100;
|
|
|
|
--this should succeed since it does not refresh any compressed regions in the cagg
|
|
CALL refresh_continuous_aggregate('search_query_count_3', '2001-05-01 00:00+0'::timestamptz, '2001-06-01 00:00+0'::timestamptz);
|
|
|
|
--verify watermark and check that chunks are compressed
|
|
SELECT _timescaledb_internal.to_timestamp(w) FROM _timescaledb_internal.cagg_watermark(:'MAT_HTID') w;
|
|
|
|
SELECT chunk_name, range_start, range_end, is_compressed
|
|
FROM timescaledb_information.chunks
|
|
WHERE hypertable_name = :'MAT_TABLE_NAME'
|
|
ORDER BY 1;
|
|
|
|
SELECT * FROM _timescaledb_catalog.continuous_aggs_materialization_invalidation_log
|
|
WHERE materialization_id = :'MAT_HTID' ORDER BY 1, 2,3;
|
|
|
|
SELECT * from search_query_count_3
|
|
WHERE bucket > '2001-01-01'
|
|
ORDER BY 1, 2, 3;
|
|
|
|
--now disable compression , will error out --
|
|
\set ON_ERROR_STOP 0
|
|
ALTER MATERIALIZED VIEW search_query_count_3 SET (timescaledb.compress = 'false');
|
|
\set ON_ERROR_STOP 1
|
|
|
|
SELECT decompress_chunk(schema_name || '.' || table_name)
|
|
FROM _timescaledb_catalog.chunk
|
|
WHERE hypertable_id = :'MAT_HTID' and status = 1;
|
|
|
|
--disable compression on cagg after decompressing all chunks--
|
|
ALTER MATERIALIZED VIEW search_query_count_3 SET (timescaledb.compress = 'false');
|
|
SELECT cagg_name, mat_table_name
|
|
FROM cagg_compression_status where cagg_name = 'search_query_count_3';
|
|
SELECT view_name, materialized_only, compression_enabled
|
|
FROM timescaledb_information.continuous_aggregates
|
|
where view_name = 'search_query_count_3';
|
|
|
|
-- TEST caggs on table with more columns than in the cagg view defn --
|
|
CREATE TABLE test_morecols ( time TIMESTAMPTZ NOT NULL,
|
|
val1 INTEGER, val2 INTEGER, val3 INTEGER, val4 INTEGER,
|
|
val5 INTEGER, val6 INTEGER, val7 INTEGER, val8 INTEGER);
|
|
SELECT create_hypertable('test_morecols', 'time', chunk_time_interval=> '7 days'::interval);
|
|
INSERT INTO test_morecols
|
|
SELECT generate_series('2018-12-01 00:00'::timestamp, '2018-12-31 00:00'::timestamp, '1 day'), 55, 75, 40, 70, NULL, 100, 200, 200;
|
|
|
|
CREATE MATERIALIZED VIEW test_morecols_cagg with (timescaledb.continuous)
|
|
AS SELECT time_bucket('30 days',time), avg(val1), count(val2)
|
|
FROM test_morecols GROUP BY 1;
|
|
|
|
ALTER MATERIALIZED VIEW test_morecols_cagg SET (timescaledb.compress='true');
|
|
|
|
SELECT compress_chunk(ch) FROM show_chunks('test_morecols_cagg') ch;
|
|
|
|
SELECT * FROM test_morecols_cagg;
|
|
|
|
SELECT view_name, materialized_only, compression_enabled
|
|
FROM timescaledb_information.continuous_aggregates
|
|
where view_name = 'test_morecols_cagg';
|
|
|
|
--should keep compressed option, modify only materialized --
|
|
ALTER MATERIALIZED VIEW test_morecols_cagg SET (timescaledb.materialized_only='true');
|
|
|
|
SELECT view_name, materialized_only, compression_enabled
|
|
FROM timescaledb_information.continuous_aggregates
|
|
where view_name = 'test_morecols_cagg';
|
|
|