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disable optimize_rewrite_sum_if_to_count_if by default
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@ -527,7 +527,7 @@ static constexpr UInt64 operator""_GiB(unsigned long long value)
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M(Bool, describe_extend_object_types, false, "Deduce concrete type of columns of type Object in DESCRIBE query", 0) \
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M(Bool, describe_extend_object_types, false, "Deduce concrete type of columns of type Object in DESCRIBE query", 0) \
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M(Bool, describe_include_subcolumns, false, "If true, subcolumns of all table columns will be included into result of DESCRIBE query", 0) \
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M(Bool, describe_include_subcolumns, false, "If true, subcolumns of all table columns will be included into result of DESCRIBE query", 0) \
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M(Bool, optimize_rewrite_sum_if_to_count_if, true, "Rewrite sumIf() and sum(if()) function countIf() function when logically equivalent", 0) \
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M(Bool, optimize_rewrite_sum_if_to_count_if, false, "Rewrite sumIf() and sum(if()) function countIf() function when logically equivalent", 0) \
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M(UInt64, insert_shard_id, 0, "If non zero, when insert into a distributed table, the data will be inserted into the shard `insert_shard_id` synchronously. Possible values range from 1 to `shards_number` of corresponding distributed table", 0) \
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M(UInt64, insert_shard_id, 0, "If non zero, when insert into a distributed table, the data will be inserted into the shard `insert_shard_id` synchronously. Possible values range from 1 to `shards_number` of corresponding distributed table", 0) \
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M(Bool, collect_hash_table_stats_during_aggregation, true, "Enable collecting hash table statistics to optimize memory allocation", 0) \
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M(Bool, collect_hash_table_stats_during_aggregation, true, "Enable collecting hash table statistics to optimize memory allocation", 0) \
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@ -0,0 +1,2 @@
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67
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0 100
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26
tests/queries/0_stateless/01646_rewrite_sum_if_bug.sql
Normal file
26
tests/queries/0_stateless/01646_rewrite_sum_if_bug.sql
Normal file
@ -0,0 +1,26 @@
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DROP TABLE IF EXISTS t;
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create table t( s String ) Engine=Memory as select arrayJoin (['a','b','c']);
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SELECT round((sum(multiIf(s IN ('a', 'b'), 1, 0)) / count()) * 100) AS r
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FROM cluster('test_cluster_two_shards', currentDatabase(), t);
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DROP TABLE t;
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DROP TABLE IF EXISTS test_alias;
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CREATE TABLE test_alias(`a` Int64, `b` Int64, `c` Int64, `day` Date, `rtime` DateTime) ENGINE = Memory
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as select 0, 0, 0, '2022-01-01', 0 from zeros(10);
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WITH
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sum(if((a >= 0) AND (b != 100) AND (c = 0), 1, 0)) AS r1,
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sum(if((a >= 0) AND (b != 100) AND (c > 220), 1, 0)) AS r2
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SELECT
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(intDiv(toUInt32(rtime), 20) * 20) * 1000 AS t,
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(r1 * 100) / (r1 + r2) AS m
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FROM cluster('test_cluster_two_shards', currentDatabase(), test_alias)
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WHERE day = '2022-01-01'
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GROUP BY t
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ORDER BY t ASC;
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DROP TABLE test_alias;
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