citus/src/test/regress/sql/adaptive_executor.sql

38 lines
1.2 KiB
PL/PgSQL

CREATE SCHEMA adaptive_executor;
SET search_path TO adaptive_executor;
CREATE TABLE test (x int, y int);
SET citus.shard_count TO 4;
SET citus.shard_replication_factor TO 1;
SET citus.next_shard_id TO 801009000;
SELECT create_distributed_table('test','x');
INSERT INTO test VALUES (1,2);
INSERT INTO test VALUES (3,2);
-- Set a very high slow start to avoid opening parallel connections
SET citus.executor_slow_start_interval TO '60s';
SET citus.max_adaptive_executor_pool_size TO 2;
SET citus.task_executor_type TO 'adaptive';
BEGIN;
SELECT count(*) FROM test a JOIN (SELECT x, pg_sleep(0.1) FROM test) b USING (x);
SELECT sum(result::bigint) FROM run_command_on_workers($$
SELECT count(*) FROM pg_stat_activity
WHERE pid <> pg_backend_pid() AND query LIKE '%8010090%'
$$);
END;
-- SELECT takes longer than slow start interval, should open multiple connections
SET citus.executor_slow_start_interval TO '10ms';
BEGIN;
SELECT count(*) FROM test a JOIN (SELECT x, pg_sleep(0.1) FROM test) b USING (x);
SELECT sum(result::bigint) FROM run_command_on_workers($$
SELECT count(*) FROM pg_stat_activity
WHERE pid <> pg_backend_pid() AND query LIKE '%8010090%'
$$);
END;
DROP SCHEMA adaptive_executor CASCADE;