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Remove costs from explain plans in window_functions tests

release-7.4
Marco Slot 2018-06-14 23:39:03 +02:00 committed by velioglu
parent 79235c35fb
commit 8dc913ef04
2 changed files with 73 additions and 73 deletions
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128
src/test/regress/expected/window_functions.out
View File

@ -500,7 +500,7 @@ ORDER BY
1 | 3.2857142857142857 | 1.00000000000000000000
(6 rows)
EXPLAIN
EXPLAIN (COSTS FALSE)
SELECT
user_id,
AVG(avg(value_1)) OVER (PARTITION BY user_id, max(user_id), MIN(value_2)),
@ -512,25 +512,25 @@ GROUP BY
ORDER BY
3 DESC, 2 DESC, 1 DESC;
QUERY PLAN
---------------------------------------------------------------------------------------------------------------------------------------
Sort (cost=0.00..0.00 rows=0 width=0)
-----------------------------------------------------------------------------------------------------------------------------------
Sort
Sort Key: remote_scan.avg_1 DESC, remote_scan.avg DESC, remote_scan.user_id DESC
-> HashAggregate (cost=0.00..0.00 rows=0 width=0)
-> HashAggregate
Group Key: remote_scan.user_id
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time)
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> WindowAgg (cost=5.06..5.80 rows=33 width=128)
-> Sort (cost=5.06..5.14 rows=33 width=128)
-> WindowAgg
-> Sort
Sort Key: users_table.user_id, (min(users_table.user_id)), (avg(users_table.value_1))
-> WindowAgg (cost=3.48..4.22 rows=33 width=128)
-> Sort (cost=3.48..3.56 rows=33 width=96)
-> WindowAgg
-> Sort
Sort Key: users_table.user_id, (max(users_table.user_id)), (min(users_table.value_2))
-> HashAggregate (cost=2.07..2.65 rows=33 width=96)
-> HashAggregate
Group Key: users_table.user_id
-> Seq Scan on users_table_1400256 users_table (cost=0.00..1.33 rows=33 width=12)
-> Seq Scan on users_table_1400256 users_table
(18 rows)
SELECT
@ -579,7 +579,7 @@ ORDER BY
6 | 5 | 3.0000000000000000
(32 rows)
EXPLAIN
EXPLAIN (COSTS FALSE)
SELECT
user_id,
1 + sum(value_1),
@ -591,22 +591,22 @@ GROUP BY
ORDER BY
user_id, value_2;
QUERY PLAN
---------------------------------------------------------------------------------------------------------------------------
Sort (cost=0.00..0.00 rows=0 width=0)
------------------------------------------------------------------------------------------
Sort
Sort Key: remote_scan.user_id, remote_scan.worker_column_4
-> HashAggregate (cost=0.00..0.00 rows=0 width=0)
-> HashAggregate
Group Key: remote_scan.user_id, remote_scan.worker_column_4
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time)
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> WindowAgg (cost=2.16..3.40 rows=33 width=48)
-> GroupAggregate (cost=2.16..2.82 rows=33 width=16)
-> WindowAgg
-> GroupAggregate
Group Key: users_table.user_id, users_table.value_2
-> Sort (cost=2.16..2.24 rows=33 width=12)
-> Sort
Sort Key: users_table.user_id, users_table.value_2
-> Seq Scan on users_table_1400256 users_table (cost=0.00..1.33 rows=33 width=12)
-> Seq Scan on users_table_1400256 users_table
(15 rows)
SELECT
@ -719,7 +719,7 @@ ORDER BY user_id, avg(value_1) DESC;
6 | 1.00000000000000000000 | 5
(32 rows)
EXPLAIN
EXPLAIN (COSTS FALSE)
SELECT
user_id,
avg(value_1),
@ -730,21 +730,21 @@ GROUP BY user_id, value_2
ORDER BY user_id, avg(value_1) DESC;
QUERY PLAN
--------------------------------------------------------------------------------------------------------------------------------------------------------------------
Sort (cost=0.00..0.00 rows=0 width=0)
Sort
Sort Key: remote_scan.user_id, (pg_catalog.sum(((pg_catalog.sum(remote_scan.avg) / pg_catalog.sum(remote_scan.avg_1)))) / pg_catalog.sum(remote_scan.rank)) DESC
-> HashAggregate (cost=0.00..0.00 rows=0 width=0)
-> HashAggregate
Group Key: remote_scan.user_id, remote_scan.worker_column_5
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time)
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> WindowAgg (cost=3.32..4.14 rows=33 width=80)
-> Sort (cost=3.32..3.40 rows=33 width=56)
-> WindowAgg
-> Sort
Sort Key: users_table.user_id, (('1'::numeric / ('1'::numeric + avg(users_table.value_1))))
-> HashAggregate (cost=1.91..2.49 rows=33 width=56)
-> HashAggregate
Group Key: users_table.user_id, users_table.value_2
-> Seq Scan on users_table_1400256 users_table (cost=0.00..1.33 rows=33 width=12)
-> Seq Scan on users_table_1400256 users_table
(15 rows)
-- order by in the window function is same as avg(value_1) DESC
@ -793,7 +793,7 @@ ORDER BY user_id, avg(value_1) DESC;
(32 rows)
-- limit is not pushed down to worker !!
EXPLAIN
EXPLAIN (COSTS FALSE)
SELECT
user_id,
avg(value_1),
@ -805,25 +805,25 @@ ORDER BY user_id, avg(value_1) DESC
LIMIT 5;
QUERY PLAN
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Limit (cost=0.00..0.00 rows=0 width=0)
-> Sort (cost=0.00..0.00 rows=0 width=0)
Limit
-> Sort
Sort Key: remote_scan.user_id, (pg_catalog.sum(((pg_catalog.sum(remote_scan.avg) / pg_catalog.sum(remote_scan.avg_1)))) / pg_catalog.sum(remote_scan.rank)) DESC
-> HashAggregate (cost=0.00..0.00 rows=0 width=0)
-> HashAggregate
Group Key: remote_scan.user_id, remote_scan.worker_column_5
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time)
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> WindowAgg (cost=3.32..4.14 rows=33 width=80)
-> Sort (cost=3.32..3.40 rows=33 width=56)
-> WindowAgg
-> Sort
Sort Key: users_table.user_id, (('1'::numeric / ('1'::numeric + avg(users_table.value_1))))
-> HashAggregate (cost=1.91..2.49 rows=33 width=56)
-> HashAggregate
Group Key: users_table.user_id, users_table.value_2
-> Seq Scan on users_table_1400256 users_table (cost=0.00..1.33 rows=33 width=12)
-> Seq Scan on users_table_1400256 users_table
(16 rows)
EXPLAIN
EXPLAIN (COSTS FALSE)
SELECT
user_id,
avg(value_1),
@ -835,25 +835,25 @@ ORDER BY user_id, avg(value_1) DESC
LIMIT 5;
QUERY PLAN
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Limit (cost=0.00..0.00 rows=0 width=0)
-> Sort (cost=0.00..0.00 rows=0 width=0)
Limit
-> Sort
Sort Key: remote_scan.user_id, (pg_catalog.sum(((pg_catalog.sum(remote_scan.avg) / pg_catalog.sum(remote_scan.avg_1)))) / pg_catalog.sum(remote_scan.rank)) DESC
-> HashAggregate (cost=0.00..0.00 rows=0 width=0)
-> HashAggregate
Group Key: remote_scan.user_id, remote_scan.worker_column_5
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time)
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> WindowAgg (cost=3.32..4.14 rows=33 width=80)
-> Sort (cost=3.32..3.40 rows=33 width=56)
-> WindowAgg
-> Sort
Sort Key: users_table.user_id, (('1'::numeric / ('1'::numeric + avg(users_table.value_1))))
-> HashAggregate (cost=1.91..2.49 rows=33 width=56)
-> HashAggregate
Group Key: users_table.user_id, users_table.value_2
-> Seq Scan on users_table_1400256 users_table (cost=0.00..1.33 rows=33 width=12)
-> Seq Scan on users_table_1400256 users_table
(16 rows)
EXPLAIN
EXPLAIN (COSTS FALSE)
SELECT
user_id,
avg(value_1),
@ -865,25 +865,25 @@ ORDER BY user_id, avg(value_1) DESC
LIMIT 5;
QUERY PLAN
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Limit (cost=0.00..0.00 rows=0 width=0)
-> Sort (cost=0.00..0.00 rows=0 width=0)
Limit
-> Sort
Sort Key: remote_scan.user_id, (pg_catalog.sum(((pg_catalog.sum(remote_scan.avg) / pg_catalog.sum(remote_scan.avg_1)))) / pg_catalog.sum(remote_scan.rank)) DESC
-> HashAggregate (cost=0.00..0.00 rows=0 width=0)
-> HashAggregate
Group Key: remote_scan.user_id, remote_scan.worker_column_5
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time)
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> WindowAgg (cost=3.15..3.98 rows=33 width=48)
-> Sort (cost=3.15..3.23 rows=33 width=40)
-> WindowAgg
-> Sort
Sort Key: users_table.user_id, ((1 / (1 + sum(users_table.value_2))))
-> HashAggregate (cost=1.83..2.32 rows=33 width=40)
-> HashAggregate
Group Key: users_table.user_id, users_table.value_2
-> Seq Scan on users_table_1400256 users_table (cost=0.00..1.33 rows=33 width=12)
-> Seq Scan on users_table_1400256 users_table
(16 rows)
EXPLAIN
EXPLAIN (COSTS FALSE)
SELECT
user_id,
avg(value_1),
@ -895,21 +895,21 @@ ORDER BY user_id, avg(value_1) DESC
LIMIT 5;
QUERY PLAN
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Limit (cost=0.00..0.00 rows=0 width=0)
-> Sort (cost=0.00..0.00 rows=0 width=0)
Limit
-> Sort
Sort Key: remote_scan.user_id, (pg_catalog.sum(((pg_catalog.sum(remote_scan.avg) / pg_catalog.sum(remote_scan.avg_1)))) / pg_catalog.sum(remote_scan.rank)) DESC
-> HashAggregate (cost=0.00..0.00 rows=0 width=0)
-> HashAggregate
Group Key: remote_scan.user_id, remote_scan.worker_column_5
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time)
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> WindowAgg (cost=2.90..3.56 rows=33 width=40)
-> Sort (cost=2.90..2.99 rows=33 width=32)
-> WindowAgg
-> Sort
Sort Key: users_table.user_id, (sum(users_table.value_2))
-> HashAggregate (cost=1.74..2.07 rows=33 width=32)
-> HashAggregate
Group Key: users_table.user_id, users_table.value_2
-> Seq Scan on users_table_1400256 users_table (cost=0.00..1.33 rows=33 width=12)
-> Seq Scan on users_table_1400256 users_table
(16 rows)

14
src/test/regress/sql/window_functions.sql
View File

@ -288,7 +288,7 @@ GROUP BY
ORDER BY
3 DESC, 2 DESC, 1 DESC;
EXPLAIN
EXPLAIN (COSTS FALSE)
SELECT
user_id,
AVG(avg(value_1)) OVER (PARTITION BY user_id, max(user_id), MIN(value_2)),
@ -311,7 +311,7 @@ GROUP BY
ORDER BY
user_id, value_2;
EXPLAIN
EXPLAIN (COSTS FALSE)
SELECT
user_id,
1 + sum(value_1),
@ -355,7 +355,7 @@ FROM
GROUP BY user_id, value_2
ORDER BY user_id, avg(value_1) DESC;
EXPLAIN
EXPLAIN (COSTS FALSE)
SELECT
user_id,
avg(value_1),
@ -376,7 +376,7 @@ GROUP BY user_id, value_2
ORDER BY user_id, avg(value_1) DESC;
-- limit is not pushed down to worker !!
EXPLAIN
EXPLAIN (COSTS FALSE)
SELECT
user_id,
avg(value_1),
@ -387,7 +387,7 @@ GROUP BY user_id, value_2
ORDER BY user_id, avg(value_1) DESC
LIMIT 5;
EXPLAIN
EXPLAIN (COSTS FALSE)
SELECT
user_id,
avg(value_1),
@ -398,7 +398,7 @@ GROUP BY user_id, value_2
ORDER BY user_id, avg(value_1) DESC
LIMIT 5;
EXPLAIN
EXPLAIN (COSTS FALSE)
SELECT
user_id,
avg(value_1),
@ -409,7 +409,7 @@ GROUP BY user_id, value_2
ORDER BY user_id, avg(value_1) DESC
LIMIT 5;
EXPLAIN
EXPLAIN (COSTS FALSE)
SELECT
user_id,
avg(value_1),