citus/src/test/regress/expected/with_executors.out

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-- Confirm we can use local, and adaptive execution
CREATE SCHEMA with_executors;
SET search_path TO with_executors, public;
SET citus.enable_repartition_joins TO on;
CREATE TABLE with_executors.local_table (id int);
INSERT INTO local_table VALUES (0), (1), (2), (3), (4), (5), (6), (7), (8), (9), (10);
CREATE TABLE ref_table (id int);
SELECT create_reference_table('ref_table');
create_reference_table
---------------------------------------------------------------------
(1 row)
INSERT INTO ref_table VALUES (0), (1), (2), (3), (4), (5), (6), (7), (8), (9), (10);
-- CTEs should be able to use local queries
WITH cte AS (
WITH local_cte AS (
SELECT * FROM local_table
),
dist_cte AS (
SELECT user_id FROM events_table
)
SELECT * FROM local_cte join dist_cte on dist_cte.user_id=local_cte.id
)
SELECT count(*) FROM cte;
count
---------------------------------------------------------------------
101
(1 row)
WITH cte AS (
WITH local_cte AS (
SELECT * FROM local_table
),
dist_cte AS (
SELECT user_id FROM events_table
),
merger_cte AS (
SELECT id as user_id FROM local_cte UNION (SELECT * FROM dist_cte)
)
SELECT * FROM merger_cte WHERE user_id IN (1, 2, 3)
)
SELECT * FROM cte ORDER BY 1;
user_id
---------------------------------------------------------------------
1
2
3
(3 rows)
WITH cte AS (
WITH local_cte AS (
SELECT * FROM local_table WHERE id < 5
),
local_cte_2 AS (
SELECT * FROM local_table WHERE id > 5
)
SELECT local_cte.id as id_1, local_cte_2.id as id_2 FROM local_cte,local_cte_2
)
SELECT
*
FROM
cte
join
users_table
on
cte.id_1 = users_table.user_id
WHERE
cte.id_1 IN (3, 4, 5)
ORDER BY
1,2,3,4,5,6,7
LIMIT
10;
id_1 | id_2 | user_id | time | value_1 | value_2 | value_3 | value_4
---------------------------------------------------------------------
3 | 6 | 3 | Wed Nov 22 18:43:51.450263 2017 | 1 | 1 | 4 |
3 | 6 | 3 | Wed Nov 22 20:43:31.008625 2017 | 1 | 3 | 2 |
3 | 6 | 3 | Wed Nov 22 23:24:32.080584 2017 | 3 | 2 | 5 |
3 | 6 | 3 | Thu Nov 23 00:15:45.610845 2017 | 1 | 1 | 4 |
3 | 6 | 3 | Thu Nov 23 03:23:24.702501 2017 | 1 | 2 | 5 |
3 | 6 | 3 | Thu Nov 23 03:52:32.008895 2017 | 4 | 2 | 0 |
3 | 6 | 3 | Thu Nov 23 04:01:08.04806 2017 | 5 | 5 | 3 |
3 | 6 | 3 | Thu Nov 23 05:01:44.885505 2017 | 3 | 5 | 4 |
3 | 6 | 3 | Thu Nov 23 06:20:05.854857 2017 | 1 | 4 | 2 |
3 | 6 | 3 | Thu Nov 23 09:57:41.540228 2017 | 2 | 2 | 3 |
(10 rows)
-- CTEs should be able to use router queries
WITH cte AS (
WITH router_cte AS (
SELECT user_id, value_2 FROM users_table WHERE user_id = 1
),
router_cte_2 AS (
SELECT user_id, event_type, value_2 FROM events_table WHERE user_id = 1
)
SELECT
router_cte.user_id as uid, event_type
FROM
router_cte, router_cte_2
)
SELECT * FROM cte ORDER BY 2 LIMIT 5;
uid | event_type
---------------------------------------------------------------------
1 | 0
1 | 0
1 | 0
1 | 0
1 | 0
(5 rows)
-- CTEs should be able to use real-time queries
WITH real_time_cte AS (
SELECT * FROM users_table WHERE value_2 IN (1, 2, 3)
)
SELECT * FROM real_time_cte ORDER BY 1, 2, 3, 4, 5, 6 LIMIT 10;
user_id | time | value_1 | value_2 | value_3 | value_4
---------------------------------------------------------------------
1 | Thu Nov 23 03:32:50.803031 2017 | 3 | 2 | 1 |
1 | Thu Nov 23 09:26:42.145043 2017 | 1 | 3 | 3 |
1 | Thu Nov 23 11:44:57.515981 2017 | 4 | 3 | 4 |
2 | Thu Nov 23 01:04:26.198826 2017 | 4 | 3 | 4 |
2 | Thu Nov 23 03:27:50.327051 2017 | 2 | 2 | 0 |
2 | Thu Nov 23 06:50:30.797805 2017 | 1 | 1 | 1 |
2 | Thu Nov 23 06:56:38.46819 2017 | 0 | 1 | 3 |
2 | Thu Nov 23 08:22:22.169158 2017 | 4 | 2 | 5 |
2 | Thu Nov 23 08:49:47.029236 2017 | 4 | 2 | 4 |
2 | Thu Nov 23 09:54:28.13665 2017 | 0 | 3 | 4 |
(10 rows)
-- router & real-time together
WITH cte AS (
WITH router_cte AS (
SELECT user_id, value_2 FROM users_table WHERE user_id = 1
),
real_time AS (
SELECT user_id, event_type, value_2 FROM events_table
)
SELECT
router_cte.user_id as uid, event_type
FROM
router_cte, real_time
WHERE
router_cte.user_id=real_time.user_id
)
SELECT * FROM cte WHERE uid=1 ORDER BY 2 LIMIT 5;
uid | event_type
---------------------------------------------------------------------
1 | 0
1 | 0
1 | 0
1 | 0
1 | 0
(5 rows)
-- CTEs should be able to use adaptive executor
WITH cte AS (
WITH task_tracker_1 AS (
SELECT
users_table.user_id as uid_1, users_table.value_2
FROM
users_table
JOIN
events_table
ON
users_table.value_2=events_table.value_2
),
task_tracker_2 AS (
SELECT
users_table.user_id as uid_2, users_table.value_3
FROM
users_table
JOIN
events_table
ON
users_table.value_3=events_table.value_3
)
SELECT
uid_1, uid_2, value_2, value_3
FROM
task_tracker_1
JOIN
task_tracker_2
ON
value_2 = value_3
)
SELECT
uid_1, uid_2, cte.value_2, cte.value_3
FROM
cte
JOIN
events_table
ON
cte.value_2 = events_table.event_type
ORDER BY
1, 2, 3, 4
LIMIT 10;
uid_1 | uid_2 | value_2 | value_3
---------------------------------------------------------------------
1 | 1 | 0 | 0
1 | 1 | 0 | 0
1 | 1 | 0 | 0
1 | 1 | 0 | 0
1 | 1 | 0 | 0
1 | 1 | 0 | 0
1 | 1 | 0 | 0
1 | 1 | 0 | 0
1 | 1 | 0 | 0
1 | 1 | 0 | 0
(10 rows)
-- All combined
WITH cte AS (
WITH task_tracker AS (
SELECT
users_table.user_id as uid_1, users_table.value_2 as val_2
FROM
users_table
JOIN
events_table
ON
users_table.value_2=events_table.value_2
),
real_time AS (
SELECT * FROM users_table
),
router_exec AS (
SELECT * FROM events_table WHERE user_id = 1
),
local_table AS (
SELECT * FROM local_table
),
join_first_two AS (
SELECT uid_1, time, value_3 FROM task_tracker JOIN real_time ON val_2=value_3
),
join_last_two AS (
SELECT
router_exec.user_id, local_table.id
FROM
router_exec
JOIN
local_table
ON
router_exec.user_id=local_table.id
)
SELECT * FROM join_first_two JOIN join_last_two ON id = value_3 ORDER BY 1,2,3,4,5 LIMIT 10
)
SELECT DISTINCT uid_1, time, value_3 FROM cte ORDER BY 1, 2, 3 LIMIT 20;
uid_1 | time | value_3
---------------------------------------------------------------------
2 | Wed Nov 22 18:19:49.944985 2017 | 1
(1 row)
-- All combined with outer join
WITH cte AS (
WITH task_tracker AS (
SELECT
users_table.user_id as uid_1, users_table.value_2 as val_2
FROM
users_table
JOIN
events_table
ON
users_table.value_2=events_table.value_2
),
real_time AS (
SELECT * FROM users_table
),
router_exec AS (
SELECT * FROM events_table WHERE user_id = 1
),
local_table AS (
SELECT * FROM local_table
),
join_first_two AS (
SELECT uid_1, time, value_3 FROM task_tracker JOIN real_time ON val_2=value_3
),
join_last_two AS (
SELECT
router_exec.user_id, local_table.id
FROM
router_exec
JOIN
local_table
ON
router_exec.user_id=local_table.id
)
SELECT uid_1, value_3 as val_3 FROM join_first_two JOIN join_last_two ON id = value_3 ORDER BY 1,2 LIMIT 10
)
SELECT DISTINCT uid_1, val_3 FROM cte join events_table on cte.val_3=events_table.event_type ORDER BY 1, 2;
uid_1 | val_3
---------------------------------------------------------------------
2 | 1
(1 row)
-- CTEs should be able to terminate (the last SELECT) in a local query
WITH cte AS (
SELECT user_id FROM users_table
)
SELECT min(user_id) FROM cte JOIN local_table ON (user_id = id);
min
---------------------------------------------------------------------
1
(1 row)
-- even if there are no distributed tables
WITH cte AS (
SELECT user_id FROM users_table
)
SELECT min(user_id) FROM cte JOIN local_table ON (user_id = id) JOIN events_table USING (user_id);
min
---------------------------------------------------------------------
1
(1 row)
-- unless the distributed table is part of a recursively planned subquery
WITH cte AS (
SELECT user_id FROM users_table
)
SELECT min(user_id) FROM cte JOIN local_table ON (user_id = id) JOIN (SELECT * FROM events_table OFFSET 0) e USING (user_id);
min
---------------------------------------------------------------------
1
(1 row)
-- joins between local and reference tables are allowed
-- even when the coordinator is not in the metadata at this stage
WITH cte AS (
SELECT user_id FROM users_table
)
SELECT count(*) FROM local_table JOIN ref_table USING (id)
WHERE id IN (SELECT * FROM cte);
count
---------------------------------------------------------------------
6
(1 row)
-- CTEs should be able to terminate a router query
WITH cte AS (
WITH cte_1 AS (
SELECT * FROM local_table WHERE id < 7
),
cte_2 AS (
SELECT * FROM local_table WHERE id > 3
),
cte_dist AS (
SELECT count(*) as u_id FROM users_table
),
cte_merge AS (
SELECT cte_1.id as id FROM cte_1 join cte_2 on TRUE
)
SELECT count(*) FROM users_table join cte_merge on id=user_id
)
SELECT
row_number() OVER (), count(*)
FROM
cte, users_table
WHERE
cte.count=user_id and user_id=5;
row_number | count
---------------------------------------------------------------------
1 | 0
(1 row)
-- CTEs should be able to terminate a real-time query
WITH cte AS (
WITH cte_1 AS (
SELECT * FROM local_table WHERE id < 7
),
cte_2 AS (
SELECT * FROM local_table WHERE id > 3
),
cte_dist AS (
SELECT count(*) as u_id FROM users_table
),
cte_merge AS (
SELECT cte_1.id as id FROM cte_1 join cte_2 on TRUE
)
SELECT count(*) FROM users_table join cte_merge on id=user_id
)
SELECT count(*) FROM cte, users_table where cte.count=user_id;
count
---------------------------------------------------------------------
0
(1 row)
WITH cte_1 AS (
SELECT
u_table.user_id as u_id, e_table.event_type
FROM
users_table as u_table
join
events_table as e_table
on
u_table.value_2=e_table.event_type
WHERE
u_table.user_id < 7
),
cte_2 AS (
SELECT
u_table.user_id as u_id, e_table.event_type
FROM
users_table as u_table
join
events_table as e_table
on
u_table.value_2=e_table.event_type
WHERE
u_table.user_id > 3
),
cte_merge AS (
SELECT
cte_1.u_id, cte_2.event_type
FROM
cte_1
join
cte_2
on cte_1.event_type=cte_2.u_id
)
SELECT
count(*)
FROM
users_table, cte_merge
WHERE
users_table.user_id = cte_merge.u_id;
count
---------------------------------------------------------------------
4365606
(1 row)
DROP SCHEMA with_executors CASCADE;
NOTICE: drop cascades to 2 other objects
DETAIL: drop cascades to table local_table
drop cascades to table ref_table