ClickHouse/tests/performance/fuse_sumcount.xml

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<test>
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<!-- We test rewriting sum(), avg(), count() to a single call of sumCount() here.
As a reference, we use the same queries with the optimization disabled.
sum() has a highly optimized algorithm, so alone it will be faster than sumCount(),
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but when we add count() or avg(), the sumCount() should win.
Also test GROUP BY with and without keys, because they might have different
optimizations. -->
<settings>
<optimize_fuse_sum_count_avg>1</optimize_fuse_sum_count_avg>
</settings>
<substitutions>
<substitution>
<name>key</name>
<values>
<value>1</value>
<value>intHash32(number) % 1000</value>
</values>
</substitution>
</substitutions>
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<query>SELECT sum(number) FROM numbers(1000000000) FORMAT Null</query>
<query>SELECT sum(number), count(number) FROM numbers(1000000000) FORMAT Null</query>
<query>SELECT sum(number), count(number) FROM numbers(1000000000) SETTINGS optimize_fuse_sum_count_avg = 0 FORMAT Null</query>
<query>SELECT sum(number), avg(number), count(number) FROM numbers(1000000000) FORMAT Null</query>
<query>SELECT sum(number), avg(number), count(number) FROM numbers(1000000000) SETTINGS optimize_fuse_sum_count_avg = 0 FORMAT Null</query>
<query>SELECT sum(number) FROM numbers(100000000) GROUP BY intHash32(number) % 1000 FORMAT Null</query>
<query>SELECT sum(number), count(number) FROM numbers(100000000) GROUP BY intHash32(number) % 1000 FORMAT Null</query>
<query>SELECT sum(number), count(number) FROM numbers(100000000) GROUP BY intHash32(number) % 1000 SETTINGS optimize_fuse_sum_count_avg = 0 FORMAT Null</query>
<query>SELECT sum(number), avg(number), count(number) FROM numbers(100000000) GROUP BY intHash32(number) % 1000 FORMAT Null</query>
<query>SELECT sum(number), avg(number), count(number) FROM numbers(100000000) GROUP BY intHash32(number) % 1000 SETTINGS optimize_fuse_sum_count_avg = 0 FORMAT Null</query>
</test>