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50360aa586
The existing ones aren't that representative since there isn't any NULL values, so the branch predictor is correct 100% of the time
31 lines
1.9 KiB
XML
31 lines
1.9 KiB
XML
<test>
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<query>SELECT sum(number) FROM numbers(100000000)</query>
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<query>SELECT sum(toUInt32(number)) FROM numbers(100000000)</query>
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<query>SELECT sum(toUInt16(number)) FROM numbers(100000000)</query>
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<query>SELECT sum(toUInt8(number)) FROM numbers(100000000)</query>
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<query>SELECT sum(toFloat32(number)) FROM numbers(100000000)</query>
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<query>SELECT sum(toFloat64(number)) FROM numbers(100000000)</query>
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<query>SELECT sumKahan(toFloat32(number)) FROM numbers(100000000)</query>
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<query>SELECT sumKahan(toFloat64(number)) FROM numbers(100000000)</query>
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<query>SELECT sum(toNullable(number)) FROM numbers(100000000)</query>
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<query>SELECT sum(toNullable(toUInt32(number))) FROM numbers(100000000)</query>
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<query>SELECT sum(toNullable(toUInt16(number))) FROM numbers(100000000)</query>
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<query>SELECT sum(toNullable(toUInt8(number))) FROM numbers(100000000)</query>
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<query>SELECT sum(toNullable(toFloat32(number))) FROM numbers(100000000)</query>
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<query>SELECT sum(toNullable(toFloat64(number))) FROM numbers(100000000)</query>
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<query>SELECT sumKahan(toNullable(toFloat32(number))) FROM numbers(100000000)</query>
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<query>SELECT sumKahan(toNullable(toFloat64(number))) FROM numbers(100000000)</query>
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<!-- Create a table with ~20% null values. Make it random so the branch predictor doesn't do all the work -->
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<create_query>CREATE TABLE nullfloat32 (x Nullable(Float32)) ENGINE = Memory</create_query>
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<fill_query>INSERT INTO nullfloat32
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SELECT IF(rand() % 5 == 0, NULL::Nullable(Float32), toFloat32(number)) as x
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FROM numbers_mt(200000000)
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SETTINGS max_threads = 8
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</fill_query>
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<query>SELECT sum(x) FROM nullfloat32</query>
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<query>SELECT sum(x::Nullable(Float64)) FROM nullfloat32</query>
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<drop_query>DROP TABLE IF EXISTS nullfloat32</drop_query>
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</test>
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