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

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-- Complex nested CTEs
CREATE SCHEMA with_nested;
SET search_path tO with_nested, public;
CREATE TABLE with_nested.local_users (user_id int, event_type int);
INSERT INTO local_users VALUES (0, 0), (1, 4), (1, 7), (2, 1), (3, 3), (5, 4), (6, 2), (10, 7);
-- Can refer to outer CTE because it is recursively planned first
WITH cte_1 AS (
SELECT DISTINCT user_id FROM users_table
),
cte_2 AS (
WITH cte_1_1 AS (
SELECT * FROM cte_1 WHERE user_id > 1
)
SELECT * FROM cte_1_1 WHERE user_id < 3
)
SELECT user_id FROM cte_2 LIMIT 1;
user_id
---------------------------------------------------------------------
2
(1 row)
-- Nested CTEs
WITH users_events AS (
WITH users_events_2 AS (
SELECT
users_table.user_id as user_id,
events_table.event_type as event_type
FROM
users_table,
events_table
WHERE
users_table.user_id = events_table.user_id
GROUP BY
users_table.user_id,
events_table.event_type
)
SELECT
u_events.user_id, events_table.event_type
FROM
users_events_2 as u_events,
events_table
WHERE
u_events.user_id = events_table.user_id
)
SELECT
*
FROM
users_events
ORDER BY
1, 2
LIMIT 20;
user_id | event_type
---------------------------------------------------------------------
1 | 0
1 | 0
1 | 0
1 | 0
1 | 0
1 | 0
1 | 0
1 | 0
1 | 0
1 | 0
1 | 0
1 | 0
1 | 1
1 | 1
1 | 1
1 | 1
1 | 1
1 | 1
1 | 1
1 | 1
(20 rows)
-- Nested CTEs
WITH users_events AS (
WITH users_events AS (
WITH users_events AS (
WITH users_events AS (
WITH users_events AS (
WITH users_events AS (
WITH users_events AS (
SELECT
users_table.user_id as user_id,
events_table.event_type as event_type
FROM
users_table,
events_table
WHERE
users_table.user_id = events_table.user_id
GROUP BY
users_table.user_id,
events_table.event_type
)
SELECT
uid, event_type, value_2, value_3
FROM
(
(
SELECT
user_id as uid
FROM
users_events
) users
join
events_table
on
users.uid = events_table.event_type
) a
)
SELECT
*
FROM
users_events
ORDER BY
1, 3, 2, 4
LIMIT 100
)
SELECT
*
FROM
users_events
LIMIT 90
)
SELECT
*
FROM
users_events
LIMIT 50
)
SELECT
uid, event_type, value_2, sum(value_3) as sum_3
FROM
users_events
GROUP BY
1, 2, 3
LIMIT 40
)
SELECT
uid, event_type, sum(value_2) as sum_2, sum(sum_3) as sum_3
FROM
users_events
GROUP BY
1, 2
LIMIT 30
)
SELECT
uid, avg(event_type), sum(sum_2), sum(sum_3)
FROM
users_events
GROUP BY
1;
uid | avg | sum | sum
---------------------------------------------------------------------
1 | 1.00000000000000000000 | 3 | 72
(1 row)
-- Nested CTEs
WITH users_events AS (
-- router select query
WITH users_events_1 AS (
SELECT
*
FROM
users_table
WHERE
user_id = 1
),
-- real-time select query
users_events_2_3 AS (
SELECT
*
FROM
users_table
WHERE
user_id = 2
OR
user_id = 3
),
-- router select query
-- sub CTE is a real-time executor query but the top level is router select
users_events_4 AS (
WITH users_events_4_5 AS (
SELECT
*
FROM
users_table
WHERE
user_id = 4
OR
user_id = 5
)
SELECT
*
FROM
users_events_4_5
WHERE
user_id = 4
),
-- merge all the results from CTEs
merged_users AS (
SELECT
*
FROM
users_events_1
UNION
SELECT
*
FROM
users_events_2_3
UNION
SELECT
*
FROM
users_events_4
)
SELECT
*
FROM
merged_users
)
SELECT
*
FROM
users_events
ORDER BY
1, 2, 3, 4, 5, 6
LIMIT
20;
user_id | time | value_1 | value_2 | value_3 | value_4
---------------------------------------------------------------------
1 | Wed Nov 22 22:51:43.132261 2017 | 4 | 0 | 3 |
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 11:11:24.40789 2017 | 3 | 4 | 0 |
1 | Thu Nov 23 11:44:57.515981 2017 | 4 | 3 | 4 |
1 | Thu Nov 23 17:23:03.441394 2017 | 5 | 4 | 3 |
1 | Thu Nov 23 17:30:34.635085 2017 | 3 | 4 | 4 |
1 | | | | |
2 | Wed Nov 22 18:19:49.944985 2017 | 3 | 5 | 1 |
2 | Thu Nov 23 00:19:14.138058 2017 | 3 | 4 | 0 |
2 | Thu Nov 23 01:04:26.198826 2017 | 4 | 3 | 4 |
2 | Thu Nov 23 01:14:27.658529 2017 | 4 | 4 | 4 |
2 | Thu Nov 23 03:27:50.327051 2017 | 2 | 2 | 0 |
2 | Thu Nov 23 06:01:08.148777 2017 | 2 | 4 | 2 |
2 | Thu Nov 23 06:23:53.572592 2017 | 4 | 4 | 5 |
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 |
(20 rows)
-- Nested CTEs - joined with local table. Not supported yet.
WITH users_events AS (
-- router select query
WITH users_events_1 AS (
SELECT
*
FROM
users_table
WHERE
user_id = 1
),
-- real-time select query
users_events_2_3 AS (
SELECT
*
FROM
users_table
WHERE
user_id = 2
OR
user_id = 3
),
-- router select query
-- sub CTE is a real-time executor query but the top level is router select
users_events_4 AS (
WITH users_events_4_5 AS (
SELECT
*
FROM
users_table
WHERE
user_id = 4
OR
user_id = 5
)
SELECT
*
FROM
users_events_4_5
WHERE
user_id = 4
)
-- merge all the results from CTEs
SELECT
*
FROM
users_events_1
UNION
SELECT
*
FROM
users_events_2_3
UNION
SELECT
*
FROM
users_events_4
)
SELECT
*
FROM
users_events
ORDER BY
1, 2, 3, 4, 5, 6
LIMIT
20;
user_id | time | value_1 | value_2 | value_3 | value_4
---------------------------------------------------------------------
1 | Wed Nov 22 22:51:43.132261 2017 | 4 | 0 | 3 |
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 11:11:24.40789 2017 | 3 | 4 | 0 |
1 | Thu Nov 23 11:44:57.515981 2017 | 4 | 3 | 4 |
1 | Thu Nov 23 17:23:03.441394 2017 | 5 | 4 | 3 |
1 | Thu Nov 23 17:30:34.635085 2017 | 3 | 4 | 4 |
1 | | | | |
2 | Wed Nov 22 18:19:49.944985 2017 | 3 | 5 | 1 |
2 | Thu Nov 23 00:19:14.138058 2017 | 3 | 4 | 0 |
2 | Thu Nov 23 01:04:26.198826 2017 | 4 | 3 | 4 |
2 | Thu Nov 23 01:14:27.658529 2017 | 4 | 4 | 4 |
2 | Thu Nov 23 03:27:50.327051 2017 | 2 | 2 | 0 |
2 | Thu Nov 23 06:01:08.148777 2017 | 2 | 4 | 2 |
2 | Thu Nov 23 06:23:53.572592 2017 | 4 | 4 | 5 |
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 |
(20 rows)
-- access to uncle, use window function, apply aggregates, use group by, LIMIT/OFFSET
WITH cte1 AS (
WITH cte1_1 AS (
WITH cte1_1_1 AS (
SELECT user_id, time, value_2 FROM users_table
),
cte1_1_2 AS (
SELECT
user_id, count
FROM (
SELECT
user_id,
count(value_2) OVER (PARTITION BY user_id)
FROM
users_table
GROUP BY 1, users_table.value_2
)aa
GROUP BY
1,2
ORDER BY
1,2
LIMIT
4
OFFSET
2
)
SELECT cte1_1_1.user_id, cte1_1_1.time, cte1_1_2.count FROM cte1_1_1 join cte1_1_2 on cte1_1_1.user_id=cte1_1_2.user_id
),
cte1_2 AS (
WITH cte1_2_1 AS (
SELECT
user_id, time, avg(value_1)::real as value_1, min(value_2) as value_2
FROM
users_table
GROUP BY
1, 2
),
cte1_2_2 AS (
SELECT cte1_2_1.user_id, cte1_1.time, cte1_2_1.value_1, cte1_1.count FROM cte1_2_1 join cte1_1 on cte1_2_1.time=cte1_1.time and cte1_2_1.user_id=cte1_1.user_id
)
SELECT * FROM cte1_2_2
)
SELECT * FROM cte1_2
),
cte2 AS (
WITH cte2_1 AS (
WITH cte2_1_1 AS (
SELECT * FROM cte1
)
SELECT user_id, time, value_1, min(count) FROM cte2_1_1 GROUP BY 1, 2, 3 ORDER BY 1,2,3
)
SELECT * FROM cte2_1 ORDER BY 1,2,3,4 LIMIT 3 OFFSET 2
)
SELECT * FROM cte2;
user_id | time | value_1 | min
---------------------------------------------------------------------
3 | Wed Nov 22 23:24:32.080584 2017 | 3 | 5
3 | Thu Nov 23 00:15:45.610845 2017 | 1 | 5
3 | Thu Nov 23 03:23:24.702501 2017 | 1 | 5
(3 rows)
DROP SCHEMA with_nested CASCADE;
NOTICE: drop cascades to table local_users
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