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