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Posted to commits@cassandra.apache.org by "Benjamin Lerer (Jira)" <ji...@apache.org> on 2020/04/01 12:20:01 UTC

[jira] [Updated] (CASSANDRA-15306) Investigate why we are allocating 8MiB chunks and reaching the maximum BufferPool size

     [ https://issues.apache.org/jira/browse/CASSANDRA-15306?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Benjamin Lerer updated CASSANDRA-15306:
---------------------------------------
    Resolution: Cannot Reproduce
        Status: Resolved  (was: Triage Needed)

> Investigate why we are allocating 8MiB chunks and reaching the maximum BufferPool size
> --------------------------------------------------------------------------------------
>
>                 Key: CASSANDRA-15306
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-15306
>             Project: Cassandra
>          Issue Type: Bug
>          Components: Observability/Logging, Test/benchmark
>            Reporter: Joey Lynch
>            Priority: Normal
>             Fix For: 4.0-beta
>
>
> While throwing some light traffic at {{4.0-alpha1}} I saw a lot of the following in the logs
> {noformat}
> INFO  [CompactionExecutor:8] 2019-09-06 11:40:31,419 NoSpamLogger.java:91 - Maximum memory usage reached (512.000MiB), cannot allocate chunk of 8.000MiB
> INFO  [CompactionExecutor:8] 2019-09-06 11:55:31,419 NoSpamLogger.java:91 - Maximum memory usage reached (512.000MiB), cannot allocate chunk of 8.000MiB
> INFO  [CompactionExecutor:15] 2019-09-06 12:10:31,419 NoSpamLogger.java:91 - Maximum memory usage reached (512.000MiB), cannot allocate chunk of 8.000MiB
> INFO  [CompactionExecutor:18] 2019-09-06 12:25:31,421 NoSpamLogger.java:91 - Maximum memory usage reached (512.000MiB), cannot allocate chunk of 8.000MiB {noformat}
> This was with about 150 WPS against a LCS table containing 4kib partitions. It seemed that compaction proceeded just fine but I don't remember seeing this in previous testing runs and I'd like to make sure it's not a bug (otherwise we may want to reduce the logging). 



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