mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-29 19:12:03 +00:00
31 lines
2.6 KiB
MySQL
31 lines
2.6 KiB
MySQL
|
set optimize_group_by_function_keys = 1;
|
||
|
|
set enable_debug_queries = 1;
|
||
|
|
|
||
|
|
SELECT max(log(2) * number) AS k FROM numbers(10000000) GROUP BY number % 2, number % 3, (number % 2 + number % 3) % 2 ORDER BY k;
|
||
|
|
SELECT avg(log(2) * number) AS k FROM numbers(10000000) GROUP BY number % 5, ((number % 5) * (number % 5)) ORDER BY k;
|
||
|
|
SELECT avg(log(2) * number) AS k FROM numbers(10000000) GROUP BY (number % 2) * (number % 3), number % 3 ORDER BY k;
|
||
|
|
SELECT avg(log(2) * number) AS k FROM numbers(10000000) GROUP BY (number % 2) * (number % 3), number % 3, number % 2 ORDER BY k;
|
||
|
|
SELECT avg(log(2) * number) AS k FROM numbers(10000000) GROUP BY (number % 2) % 3, number % 2 ORDER BY k;
|
||
|
|
|
||
|
|
|
||
|
|
analyze SELECT max(log(2) * number) AS k FROM numbers(10000000) GROUP BY number % 2, number % 3, (number % 2 + number % 3) % 2 ORDER BY k;
|
||
|
|
analyze SELECT avg(log(2) * number) AS k FROM numbers(10000000) GROUP BY number % 5, ((number % 5) * (number % 5)) ORDER BY k;
|
||
|
|
analyze SELECT avg(log(2) * number) AS k FROM numbers(10000000) GROUP BY (number % 2) * (number % 3), number % 3 ORDER BY k;
|
||
|
|
analyze SELECT avg(log(2) * number) AS k FROM numbers(10000000) GROUP BY (number % 2) * (number % 3), number % 3, number % 2 ORDER BY k;
|
||
|
|
analyze SELECT avg(log(2) * number) AS k FROM numbers(10000000) GROUP BY (number % 2) % 3, number % 2 ORDER BY k;
|
||
|
|
|
||
|
|
set optimize_group_by_function_keys = 0;
|
||
|
|
|
||
|
|
SELECT max(log(2) * number) AS k FROM numbers(10000000) GROUP BY number % 2, number % 3, (number % 2 + number % 3) % 2 ORDER BY k;
|
||
|
|
SELECT avg(log(2) * number) AS k FROM numbers(10000000) GROUP BY number % 5, ((number % 5) * (number % 5)) ORDER BY k;
|
||
|
|
SELECT avg(log(2) * number) AS k FROM numbers(10000000) GROUP BY (number % 2) * (number % 3), number % 3 ORDER BY k;
|
||
|
|
SELECT avg(log(2) * number) AS k FROM numbers(10000000) GROUP BY (number % 2) * (number % 3), number % 3, number % 2 ORDER BY k;
|
||
|
|
SELECT avg(log(2) * number) AS k FROM numbers(10000000) GROUP BY (number % 2) % 3, number % 2 ORDER BY k;
|
||
|
|
|
||
|
|
analyze SELECT max(log(2) * number) AS k FROM numbers(10000000) GROUP BY number % 2, number % 3, (number % 2 + number % 3) % 2 ORDER BY k;
|
||
|
|
analyze SELECT avg(log(2) * number) AS k FROM numbers(10000000) GROUP BY number % 5, ((number % 5) * (number % 5)) ORDER BY k;
|
||
|
|
analyze SELECT avg(log(2) * number) AS k FROM numbers(10000000) GROUP BY (number % 2) * (number % 3), number % 3 ORDER BY k;
|
||
|
|
analyze SELECT avg(log(2) * number) AS k FROM numbers(10000000) GROUP BY (number % 2) * (number % 3), number % 3, number % 2 ORDER BY k;
|
||
|
|
analyze SELECT avg(log(2) * number) AS k FROM numbers(10000000) GROUP BY (number % 2) % 3, number % 2 ORDER BY k;
|
||
|
|
-- TODO - test with similar variables of different tables (collision)
|