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Better test
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@ -1,2 +1,3 @@
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1 2
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1 2
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2 3
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9 5
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8 4
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@ -1,25 +1,23 @@
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drop table if exists xy;
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create table xy(x int, y int) engine MergeTree partition by intHash64(x) % 100 order by y settings index_granularity = 1;
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create table xy(x int, y int) engine MergeTree partition by intHash64(x) % 2 order by y settings index_granularity = 1;
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insert into xy values (1, 2), (2, 3);
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-- intHash64(0) % 2 = 0
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-- intHash64(2) % 2 = 1
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-- intHash64(8) % 2 = 0
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-- intHash64(9) % 2 = 1
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insert into xy values (0, 2), (2, 3), (8, 4), (9, 5);
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SET max_rows_to_read = 1;
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-- Now we have two partitions: 0 and 1, each of which contains 2 values.
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-- minmax index for the first partition is 0 <= x <= 8
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-- minmax index for the second partition is 2 <= x <= 9
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select * from xy where intHash64(x) % 100 = intHash64(1) % 100;
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SET max_rows_to_read = 2;
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-- This works too
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select * from xy where x = 1;
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select * from xy where intHash64(x) % 2 = intHash64(2) % 2;
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--
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-- Test for equality.
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-- It is special operator that treated as an always monotonic
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--
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set max_rows_to_read=100;
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drop table if exists xy;
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create table xy(x int, y int) engine MergeTree partition by x % 100 order by y settings index_granularity = 4096;
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-- insert enough data to make minmax index not enough for partition prunning
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insert into xy select number, number from numbers(10000);
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select * from xy where x = 1;
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-- Equality is another special operator that can be treated as an always monotonic indicator for deterministic functions.
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-- minmax index is not enough.
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select * from xy where x = 8;
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drop table if exists xy;
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