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Vasil Dimov authored
Adjust mtr tests, part 18. Persistent stats use a different sampling algorithm so it is possible that the stats numbers differ from transient stats. Also, persistent stats are updated less frequently or with a delay, so it is possible that persistent stats are not up to date as transient were even if both algorithms would return the same results. If possible, each failing test was fixed by manually running ANALYZE TABLE. This is doable if both transient and persistent sampling algorithms end up with the same numbers for the given table and its data. If persistent stats result in different stats, then test failures were fixed by forcing the usage of transient stats for the table by using CREATE TABLE ... STATS_PERSISTENT=0. Intentionally do not fix the tests by using persistent stats and adjustin the output of EXPLAIN in .result files because a different execution plan may cause a different code path to be executed, than the one originally intended in the test.
Vasil Dimov authoredAdjust mtr tests, part 18. Persistent stats use a different sampling algorithm so it is possible that the stats numbers differ from transient stats. Also, persistent stats are updated less frequently or with a delay, so it is possible that persistent stats are not up to date as transient were even if both algorithms would return the same results. If possible, each failing test was fixed by manually running ANALYZE TABLE. This is doable if both transient and persistent sampling algorithms end up with the same numbers for the given table and its data. If persistent stats result in different stats, then test failures were fixed by forcing the usage of transient stats for the table by using CREATE TABLE ... STATS_PERSISTENT=0. Intentionally do not fix the tests by using persistent stats and adjustin the output of EXPLAIN in .result files because a different execution plan may cause a different code path to be executed, than the one originally intended in the test.
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