Matthieu Baechler created JAMES-3123:
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Summary: Manage properly Cassandra queries concurrency
Key: JAMES-3123
URL: https://issues.apache.org/jira/browse/JAMES-3123
Project: James Server
Issue Type: Improvement
Components: cassandra
Reporter: Matthieu Baechler
We have several parameters regarding Cassandra usage in James:
* cassandra driver queue size
* cassandra driver threadpool size
* reactor concurrency tuning
We frequently fine tune these parameters based on metrics feedback: for example
https://github.com/linagora/james-project/pull/3218 tries to limit the impact
of counters computation on the user queries
However, this "try, measure, fix" strategy could be handle by engineering a
better execution framework.
I suggest this one:
* use two specific reactor workqueues for running cassandra queries, one for
interactive queries and another one for background queries
* ensure we don't schedule more queries than the Cassandra queue size can
handle by using back-pressure
* send queries to the right workqueue depending on the expected execution
characteristics
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