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This is a followup of #6845 from @difince @zijianjoy The listruns query is also very slow (seconds for large run_details tables).
It must also be migrated to joins or something other more performant
Already this small database leads to 15 seconds per listruns api call It regressed from 5 to 15 seconds with Kubeflow 1.5 -> 1.7.
mysql> SELECT -> namespace, -> COUNT(*) AS entry_count, -> SUM(LENGTH(CAST(namespace AS CHAR))) AS column_size -> FROM -> run_details -> GROUP BY -> namespace -> ORDER BY -> column_size DESC; +------------------------------------------------+-------------+-------------+ | namespace | entry_count | column_size | +------------------------------------------------+-------------+-------------+ | namespace-xxx | 93931 | 1033241 | | namespace-yyy | 22645 | 362320 | | namespace-zzz | 16700 | 317300 | | namespace-www | 9894 | 187986
Just let users run a lot of pipelines per year, e.g. 200,000 and see how slow the listruns query becomes.
Listruns in less than one second for 200,000 runs, which is a very small database task
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The text was updated successfully, but these errors were encountered:
Solved and closed see #9780
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chensun
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This is a followup of #6845 from @difince @zijianjoy
The listruns query is also very slow (seconds for large run_details tables).
It must also be migrated to joins or something other more performant
Already this small database leads to 15 seconds per listruns api call
It regressed from 5 to 15 seconds with Kubeflow 1.5 -> 1.7.
Steps to reproduce
Just let users run a lot of pipelines per year, e.g. 200,000 and see how slow the listruns query becomes.
Expected result
Listruns in less than one second for 200,000 runs, which is a very small database task
Materials and Reference
Impacted by this bug? Give it a 👍.
The text was updated successfully, but these errors were encountered: