mirror of
https://github.com/timescale/timescaledb.git
synced 2025-05-16 10:33:27 +08:00
264b77eb20
Move the "block new chunks" functions and the chunk-based continuous aggregate refresh function to the new experimental schema.
542 lines
18 KiB
PL/PgSQL
542 lines
18 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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\set ON_ERROR_STOP 0
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--negative tests for query validation
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create table mat_t1( a integer, b integer,c TEXT);
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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 integer NULL,
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humidity DOUBLE PRECISION NULL,
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timemeasure TIMESTAMPTZ,
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timeinterval INTERVAL
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);
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select table_name from create_hypertable( 'conditions', 'timec');
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous, timescaledb.myfill = 1)
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as
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select location , min(temperature)
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from conditions
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group by time_bucket('1d', timec), location WITH NO DATA;
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--valid PG option
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous, check_option = LOCAL )
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as
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select * from conditions , mat_t1 WITH NO DATA;
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-- join multiple tables
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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as
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select location, count(*) from conditions , mat_t1
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where conditions.location = mat_t1.c
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group by location WITH NO DATA;
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-- join multiple tables WITH explicit JOIN
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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as
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select location, count(*) from conditions JOIN mat_t1 ON true
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where conditions.location = mat_t1.c
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group by location WITH NO DATA;
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-- LATERAL multiple tables
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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as
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select location, count(*) from conditions,
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LATERAL (Select * from mat_t1 where c = conditions.location) q
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group by location WITH NO DATA;
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--non-hypertable
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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as
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select a, count(*) from mat_t1
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group by a WITH NO DATA;
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-- no group by
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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as
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select count(*) from conditions WITH NO DATA;
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-- no time_bucket in group by
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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as
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select count(*) from conditions group by location WITH NO DATA;
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-- with valid query in a CTE
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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with m1 as (
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Select location, count(*) from conditions
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group by time_bucket('1week', timec) , location)
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select * from m1 WITH NO DATA;
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--with DISTINCT ON
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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as
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select distinct on ( location ) count(*) from conditions group by location, time_bucket('1week', timec) WITH NO DATA;
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--aggregate with DISTINCT
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select time_bucket('1week', timec),
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count(location) , sum(distinct temperature) from conditions
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group by time_bucket('1week', timec) , location WITH NO DATA;
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--aggregate with FILTER
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select time_bucket('1week', timec),
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sum(temperature) filter ( where humidity > 20 ) from conditions
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group by time_bucket('1week', timec) , location WITH NO DATA;
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-- aggregate with filter in having clause
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select time_bucket('1week', timec), max(temperature)
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from conditions
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group by time_bucket('1week', timec) , location
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having sum(temperature) filter ( where humidity > 20 ) > 50 WITH NO DATA;
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-- time_bucket on non partitioning column of hypertable
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select max(temperature)
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from conditions
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group by time_bucket('1week', timemeasure) , location WITH NO DATA;
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--time_bucket on expression
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select max(temperature)
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from conditions
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group by time_bucket('1week', timec+ '10 minutes'::interval) , location WITH NO DATA;
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--multiple time_bucket functions
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select max(temperature)
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from conditions
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group by time_bucket('1week', timec) , time_bucket('1month', timec), location WITH NO DATA;
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--time_bucket using additional args
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select max(temperature)
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from conditions
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group by time_bucket( INTERVAL '5 minutes', timec, INTERVAL '-2.5 minutes') , location WITH NO DATA;
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--time_bucket using non-const for first argument
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select max(temperature)
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from conditions
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group by time_bucket( timeinterval, timec) , location WITH NO DATA;
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-- ordered set aggr
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select mode() within group( order by humidity)
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from conditions
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group by time_bucket('1week', timec) WITH NO DATA;
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--window function
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select avg(temperature) over( order by humidity)
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from conditions
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WITH NO DATA;
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--aggregate without combine function
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select json_agg(location)
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from conditions
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group by time_bucket('1week', timec) , location WITH NO DATA;
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;
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select sum(humidity), avg(temperature), array_agg(location)
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from conditions
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group by time_bucket('1week', timec) , location WITH NO DATA;
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;
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-- userdefined aggregate without combine function
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CREATE AGGREGATE newavg (
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sfunc = int4_avg_accum, basetype = int4, stype = _int8,
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finalfunc = int8_avg,
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initcond1 = '{0,0}'
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);
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select sum(humidity), newavg(temperature::int4)
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from conditions
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group by time_bucket('1week', timec) , location WITH NO DATA;
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;
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-- using subqueries
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select sum(humidity), avg(temperature::int4)
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from
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( select humidity, temperature, location, timec
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from conditions ) q
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group by time_bucket('1week', timec) , location WITH NO DATA;
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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select * from
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( Select sum(humidity), avg(temperature::int4)
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from conditions
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group by time_bucket('1week', timec) , location ) q WITH NO DATA;
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--using limit /limit offset
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select sum(humidity), avg(temperature::int4)
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from conditions
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group by time_bucket('1week', timec) , location
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limit 10 WITH NO DATA;
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select sum(humidity), avg(temperature::int4)
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from conditions
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group by time_bucket('1week', timec) , location
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offset 10 WITH NO DATA;
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--using ORDER BY in view defintion
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select sum(humidity), avg(temperature::int4)
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from conditions
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group by time_bucket('1week', timec) , location
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ORDER BY 1 WITH NO DATA;
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--using FETCH
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select sum(humidity), avg(temperature::int4)
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from conditions
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group by time_bucket('1week', timec) , location
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fetch first 10 rows only WITH NO DATA;
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--using locking clauses FOR clause
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--all should be disabled. we cannot guarntee locks on the hypertable
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select sum(humidity), avg(temperature::int4)
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from conditions
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group by time_bucket('1week', timec) , location
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FOR KEY SHARE WITH NO DATA;
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select sum(humidity), avg(temperature::int4)
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from conditions
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group by time_bucket('1week', timec) , location
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FOR SHARE WITH NO DATA;
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select sum(humidity), avg(temperature::int4)
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from conditions
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group by time_bucket('1week', timec) , location
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FOR UPDATE WITH NO DATA;
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select sum(humidity), avg(temperature::int4)
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from conditions
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group by time_bucket('1week', timec) , location
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FOR NO KEY UPDATE WITH NO DATA;
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--tablesample clause
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select sum(humidity), avg(temperature::int4)
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from conditions tablesample bernoulli(0.2)
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group by time_bucket('1week', timec) , location
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WITH NO DATA;
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-- ONLY in from clause
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select sum(humidity), avg(temperature::int4)
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from ONLY conditions
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group by time_bucket('1week', timec) , location WITH NO DATA;
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--grouping sets and variants
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select sum(humidity), avg(temperature::int4)
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from conditions
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group by grouping sets(time_bucket('1week', timec) , location ) WITH NO DATA;
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select sum(humidity), avg(temperature::int4)
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from conditions
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group by rollup(time_bucket('1week', timec) , location ) WITH NO DATA;
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--NO immutable functions -- check all clauses
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CREATE FUNCTION test_stablefunc(int) RETURNS int LANGUAGE 'sql'
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STABLE AS 'SELECT $1 + 10';
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select sum(humidity), max(timec + INTERVAL '1h')
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from conditions
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group by time_bucket('1week', timec) , location WITH NO DATA;
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select sum(humidity), min(location)
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from conditions
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group by time_bucket('1week', timec)
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having max(timec + INTERVAL '1h') > '2010-01-01 09:00:00-08' WITH NO DATA;
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select sum( test_stablefunc(humidity::int) ), min(location)
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from conditions
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group by time_bucket('1week', timec) WITH NO DATA;
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select sum( temperature ), min(location)
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from conditions
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group by time_bucket('1week', timec), test_stablefunc(humidity::int) WITH NO DATA;
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-- Should use CREATE MATERIALIZED VIEW to create continuous aggregates
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CREATE VIEW continuous_aggs_errors_tbl1 WITH (timescaledb.continuous) AS
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SELECT time_bucket('1 week', timec)
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FROM conditions
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GROUP BY time_bucket('1 week', timec);
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-- row security on table
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create table rowsec_tab( a bigint, b integer, c integer);
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select table_name from create_hypertable( 'rowsec_tab', 'a', chunk_time_interval=>10);
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CREATE OR REPLACE FUNCTION integer_now_test() returns bigint LANGUAGE SQL STABLE as $$ SELECT coalesce(max(a), 0)::bigint FROM rowsec_tab $$;
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SELECT set_integer_now_func('rowsec_tab', 'integer_now_test');
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alter table rowsec_tab ENABLE ROW LEVEL SECURITY;
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create policy rowsec_tab_allview ON rowsec_tab FOR SELECT USING(true);
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CREATE MATERIALIZED VIEW mat_m1 WITH ( timescaledb.continuous)
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AS
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Select sum( b), min(c)
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from rowsec_tab
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group by time_bucket('1', a) WITH NO DATA;
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drop table conditions cascade;
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--negative tests for WITH options
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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 double precision NULL,
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highp double precision null,
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allnull double precision null
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);
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select table_name from create_hypertable( 'conditions', 'timec');
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create materialized view mat_with_test( timec, minl, sumt , sumh)
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WITH (timescaledb.continuous)
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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 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_with_test'
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\gset
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\set ON_ERROR_STOP 0
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ALTER MATERIALIZED VIEW mat_with_test SET(timescaledb.create_group_indexes = 'false');
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ALTER MATERIALIZED VIEW mat_with_test SET(timescaledb.create_group_indexes = 'true');
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ALTER MATERIALIZED VIEW mat_with_test ALTER timec DROP default;
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\set ON_ERROR_STOP 1
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DROP TABLE conditions CASCADE;
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--test WITH using a hypertable with an integer time dimension
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CREATE TABLE conditions (
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timec SMALLINT 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 double precision NULL,
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highp double precision null,
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allnull double precision null
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);
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select table_name from create_hypertable( 'conditions', 'timec', chunk_time_interval=> 100);
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CREATE OR REPLACE FUNCTION integer_now_test_s() returns smallint LANGUAGE SQL STABLE as $$ SELECT coalesce(max(timec), 0)::smallint FROM conditions $$;
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SELECT set_integer_now_func('conditions', 'integer_now_test_s');
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\set ON_ERROR_STOP 0
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create materialized view mat_with_test( timec, minl, sumt , sumh)
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WITH (timescaledb.continuous)
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as
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select time_bucket(100, timec), min(location), sum(temperature),sum(humidity)
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from conditions
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group by time_bucket(100, timec) WITH NO DATA;
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create materialized view mat_with_test( timec, minl, sumt , sumh)
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WITH (timescaledb.continuous)
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as
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select time_bucket(100, timec), min(location), sum(temperature),sum(humidity)
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from conditions
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group by time_bucket(100, timec) WITH NO DATA;
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ALTER TABLE conditions ALTER timec type int;
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create materialized view mat_with_test( timec, minl, sumt , sumh)
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WITH (timescaledb.continuous)
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as
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select time_bucket(100, timec), min(location), sum(temperature),sum(humidity)
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from conditions
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group by time_bucket(100, timec) WITH NO DATA;
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\set ON_ERROR_STOP 1
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DROP TABLE conditions cascade;
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CREATE TABLE conditions (
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timec BIGINT 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 double precision NULL,
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highp double precision null,
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allnull double precision null
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);
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select table_name from create_hypertable( 'conditions', 'timec', chunk_time_interval=> 100);
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CREATE OR REPLACE FUNCTION integer_now_test_b() returns bigint LANGUAGE SQL STABLE as $$ SELECT coalesce(max(timec), 0)::bigint FROM conditions $$;
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SELECT set_integer_now_func('conditions', 'integer_now_test_b');
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create materialized view mat_with_test( timec, minl, sumt , sumh)
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WITH (timescaledb.continuous)
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as
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select time_bucket(BIGINT '100', timec), min(location), sum(temperature),sum(humidity)
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from conditions
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group by 1 WITH NO DATA;
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-- custom time partition functions are not supported with invalidations
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CREATE FUNCTION text_part_func(TEXT) RETURNS BIGINT
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AS $$ SELECT length($1)::BIGINT $$
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LANGUAGE SQL IMMUTABLE;
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CREATE TABLE text_time(time TEXT);
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SELECT create_hypertable('text_time', 'time', chunk_time_interval => 10, time_partitioning_func => 'text_part_func');
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\set ON_ERROR_STOP 0
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CREATE MATERIALIZED VIEW text_view
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WITH (timescaledb.continuous)
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AS SELECT time_bucket('5', text_part_func(time)), COUNT(time)
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FROM text_time
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GROUP BY 1 WITH NO DATA;
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\set ON_ERROR_STOP 1
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-- Check that we get an error when mixing normal materialized views
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-- and continuous aggregates.
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CREATE MATERIALIZED VIEW normal_mat_view AS
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SELECT time_bucket('5', text_part_func(time)), COUNT(time)
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FROM text_time
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GROUP BY 1 WITH NO DATA;
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\set ON_ERROR_STOP 0
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DROP MATERIALIZED VIEW normal_mat_view, mat_with_test;
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\set ON_ERROR_STOP 1
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DROP TABLE text_time CASCADE;
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CREATE TABLE measurements (time TIMESTAMPTZ NOT NULL, device INT, value FLOAT);
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SELECT create_hypertable('measurements', 'time');
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INSERT INTO measurements VALUES ('2019-03-04 13:30', 1, 1.3);
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\set VERBOSITY default
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\set ON_ERROR_STOP 0
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SELECT timescaledb_experimental.refresh_continuous_aggregate(
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'mat_with_test',
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show_chunks('measurements')
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);
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\set ON_ERROR_STOP 1
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\set VERBOSITY terse
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-- Add a continuous aggregate on the measurements table and a policy
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-- to be able to test error cases for the add_job function.
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CREATE MATERIALIZED VIEW measurements_summary WITH (timescaledb.continuous) AS
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SELECT time_bucket('1 day', time), COUNT(time)
|
|
FROM measurements
|
|
GROUP BY 1 WITH NO DATA;
|
|
|
|
-- First test that add_job checks the config. It is currently possible
|
|
-- to add non-custom jobs using the add_job function so we need to
|
|
-- test that the function actually checks the config parameters. These
|
|
-- should all generate errors, for different reasons...
|
|
\set ON_ERROR_STOP 0
|
|
-- ... this one because it is missing a field.
|
|
SELECT add_job(
|
|
'_timescaledb_internal.policy_refresh_continuous_aggregate'::regproc,
|
|
'1 hour'::interval,
|
|
config => '{"end_offset": null, "start_offset": null}');
|
|
-- ... this one because it has a bad value for start_offset
|
|
SELECT add_job(
|
|
'_timescaledb_internal.policy_refresh_continuous_aggregate'::regproc,
|
|
'1 hour'::interval,
|
|
config => '{"end_offset": null, "start_offset": "1 fortnight", "mat_hypertable_id": 11}');
|
|
-- ... this one because it has a bad value for end_offset
|
|
SELECT add_job(
|
|
'_timescaledb_internal.policy_refresh_continuous_aggregate'::regproc,
|
|
'1 hour'::interval,
|
|
config => '{"end_offset": "chicken", "start_offset": null, "mat_hypertable_id": 11}');
|
|
\set ON_ERROR_STOP 1
|
|
|
|
SELECT add_continuous_aggregate_policy('measurements_summary', NULL, NULL, '1 h'::interval) AS job_id
|
|
\gset
|
|
|
|
\x on
|
|
SELECT * FROM _timescaledb_config.bgw_job WHERE id = :job_id;
|
|
\x off
|
|
|
|
-- These are all weird values for the parameters for the continuous
|
|
-- aggregate jobs and should generate an error. Since the config will
|
|
-- be replaced, we will also generate error for missing arguments.
|
|
\set ON_ERROR_STOP 0
|
|
SELECT alter_job(:job_id, config => '{"end_offset": "1 week", "start_offset": "2 fortnights"}');
|
|
SELECT alter_job(:job_id,
|
|
config => '{"mat_hypertable_id": 11, "end_offset": "chicken", "start_offset": "1 fortnights"}');
|
|
SELECT alter_job(:job_id,
|
|
config => '{"mat_hypertable_id": 11, "end_offset": "chicken", "start_offset": "1 week"}');
|
|
\set ON_ERROR_STOP 1
|
|
|
|
DROP TABLE measurements CASCADE;
|
|
DROP TABLE conditions CASCADE;
|
|
|
|
-- test handling of invalid mat_hypertable_id
|
|
create table i2980(time timestamptz not null);
|
|
select create_hypertable('i2980','time');
|
|
create materialized view i2980_cagg with (timescaledb.continuous) AS SELECT time_bucket('1h',time), avg(7) FROM i2980 GROUP BY 1;
|
|
select add_continuous_aggregate_policy('i2980_cagg',NULL,NULL,'4h') AS job_id \gset
|
|
\set ON_ERROR_STOP 0
|
|
select alter_job(:job_id,config:='{"end_offset": null, "start_offset": null, "mat_hypertable_id": 1000}');
|
|
\set ON_ERROR_STOP 1
|
|
|