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https://github.com/timescale/timescaledb.git
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8a308deb85
Unlike the existing memory leak test which tests a single INSERT of 100.000.000 rows in a single transaction, this runs 1000000 SELECT, 10K UPDATE and 50K INSERT queries in the same backend.
34 lines
1.4 KiB
SQL
34 lines
1.4 KiB
SQL
-- This file and its contents are licensed under the Apache License 2.0.
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-- Please see the included NOTICE for copyright information and
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-- LICENSE-APACHE for a copy of the license.
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DROP DATABASE IF EXISTS test;
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CREATE DATABASE test;
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\c test
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\timing
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DROP EXTENSION IF EXISTS timescaledb CASCADE;
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CREATE EXTENSION timescaledb;
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SELECT pg_backend_pid();
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SELECT pg_sleep(5);
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CREATE TABLE metrics(time timestamptz, device text, value float);
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SELECT create_hypertable('metrics', 'time');
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INSERT INTO metrics SELECT '2020-01-01'::timestamptz + format('%ss',time)::interval, format('Device %s',time%10), random() FROM generate_series(1,1000000) g(time);
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\o /dev/null
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\set ECHO none
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\timing off
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\echo Starting 1 million SELECT queries
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SELECT format($$SELECT * FROM metrics WHERE device = 'Device %s' ORDER BY time DESC LIMIT 1;$$,time % 10) FROM generate_series(1,1000000) g(time) \gexec
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\echo Starting 10k UPDATE queries
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SELECT format($$UPDATE metrics SET value = %s WHERE time < '2020-01-02' AND device = 'Device %s';$$,time,time % 10) FROM generate_series(1,10000) g(time) \gexec
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\echo Starting 50k INSERTs with batches of 1000
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SELECT format($$INSERT INTO metrics SELECT '2021-01-01'::timestamptz + '%ss'::interval + format('%%s', time)::interval, format('Device %%s',time %% 10), random() FROM generate_series(1,1000) g(time);$$,time) FROM generate_series(1,50000) g(time) \gexec
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