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Merge pull request #35636 from den-crane/test/weird_partitions

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test for partition_by using ignore()
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Alexey Milovidov 2022-03-27 19:43:30 +03:00 committed by GitHub
commit 0f9cc9f924
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14
tests/queries/0_stateless/02245_weird_partitions_pruning.reference Normal file
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202112-0 (202112,0)
202201-0 (202201,0)
202301-0 (202301,0)
202112-0 2021-12-31 22:30:00 2021-12-31 22:30:00 2021-12-31 14:30:00 2021-12-31 14:30:00 1000
202201-0 2022-01-01 00:30:00 2022-01-31 22:30:00 2021-12-31 16:30:00 2022-01-31 14:30:00 2000
202301-0 2023-01-31 22:30:00 2023-01-31 22:30:00 2023-01-31 14:30:00 2023-01-31 14:30:00 1000
202112-0
default weird_partitions_02245 1 1000 1
202201-0
default weird_partitions_02245 1 2000 1
202112-0
202201-0
default weird_partitions_02245 2 3000 2
default weird_partitions_02245 0 0 0

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tests/queries/0_stateless/02245_weird_partitions_pruning.sql Normal file
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-- We use a hack - partition by ignore(d1). In some cases there are two columns
-- not fully correlated (<1) (date_begin - date_end or datetime - datetime_in_TZ_with_DST)
-- If we partition by these columns instead of one it will be twice more partitions.
-- Partition by (.., ignore(d1)) allows to partition by the first column but build
-- min_max indexes for both column, so partition pruning works for both columns.
-- It's very similar to min_max skip index but gives bigger performance boost,
-- because partition pruning happens on very early query stage.
DROP TABLE IF EXISTS weird_partitions_02245;
CREATE TABLE weird_partitions_02245(d DateTime, d1 DateTime default d - toIntervalHour(8), id Int64)
Engine=MergeTree
PARTITION BY (toYYYYMM(toDateTime(d)), ignore(d1))
ORDER BY id;
INSERT INTO weird_partitions_02245(d, id)
SELECT
toDateTime('2021-12-31 22:30:00') AS d,
number
FROM numbers(1000);
INSERT INTO weird_partitions_02245(d, id)
SELECT
toDateTime('2022-01-01 00:30:00') AS d,
number
FROM numbers(1000);
INSERT INTO weird_partitions_02245(d, id)
SELECT
toDateTime('2022-01-31 22:30:00') AS d,
number
FROM numbers(1000);
INSERT INTO weird_partitions_02245(d, id)
SELECT
toDateTime('2023-01-31 22:30:00') AS d,
number
FROM numbers(1000);
OPTIMIZE TABLE weird_partitions_02245;
OPTIMIZE TABLE weird_partitions_02245;
SELECT DISTINCT _partition_id, _partition_value FROM weird_partitions_02245 ORDER BY _partition_id ASC;
SELECT _partition_id, min(d), max(d), min(d1), max(d1), count() FROM weird_partitions_02245 GROUP BY _partition_id ORDER BY _partition_id ASC;
select DISTINCT _partition_id from weird_partitions_02245 where d >= '2021-12-31 00:00:00' and d < '2022-01-01 00:00:00' ORDER BY _partition_id;
explain estimate select DISTINCT _partition_id from weird_partitions_02245 where d >= '2021-12-31 00:00:00' and d < '2022-01-01 00:00:00';
select DISTINCT _partition_id from weird_partitions_02245 where d >= '2022-01-01 00:00:00' and d1 >= '2021-12-31 00:00:00' and d1 < '2022-01-01 00:00:00' ORDER BY _partition_id;;
explain estimate select DISTINCT _partition_id from weird_partitions_02245 where d >= '2022-01-01 00:00:00' and d1 >= '2021-12-31 00:00:00' and d1 < '2022-01-01 00:00:00';
select DISTINCT _partition_id from weird_partitions_02245 where d1 >= '2021-12-31 00:00:00' and d1 < '2022-01-01 00:00:00' ORDER BY _partition_id;;
explain estimate select DISTINCT _partition_id from weird_partitions_02245 where d1 >= '2021-12-31 00:00:00' and d1 < '2022-01-01 00:00:00';
select DISTINCT _partition_id from weird_partitions_02245 where d >= '2022-01-01 00:00:00' and d1 >= '2021-12-31 00:00:00' and d1 < '2020-01-01 00:00:00' ORDER BY _partition_id;;
explain estimate select DISTINCT _partition_id from weird_partitions_02245 where d >= '2022-01-01 00:00:00' and d1 >= '2021-12-31 00:00:00' and d1 < '2020-01-01 00:00:00';
DROP TABLE weird_partitions_02245;