[jira] [Updated] (CASSANDRA-15229) BufferPool Regression

["Benedict (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/CASSANDRA-15229?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Benedict updated CASSANDRA-15229:
---------------------------------
         Severity: Normal
       Complexity: Challenging
    Discovered By: Code Inspection
     Bug Category: Parent values: Degradation(12984)Level 1 values: Performance Bug/Regression(12997)
      Component/s: Local/Caching
           Status: Open  (was: Triage Needed)

> BufferPool Regression
> ---------------------
>
>                 Key: CASSANDRA-15229
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-15229
>             Project: Cassandra
>          Issue Type: Bug
>          Components: Local/Caching
>            Reporter: Benedict
>            Priority: Normal
>
> The BufferPool was never intended to be used for a {{ChunkCache}}, and we need to either change our behaviour to handle uncorrelated lifetimes or use something else.  This is particularly important with the default chunk size for compressed sstables being reduced.  If we address the problem, we should also utilise the BufferPool for native transport connections like we do for internode messaging, and reduce the number of pooling solutions we employ.
> Probably the best thing to do is to improve BufferPool’s behaviour when used for things with uncorrelated lifetimes, which essentially boils down to tracking those chunks that have not been freed and re-circulating them when we run out of completely free blocks.  We should probably also permit instantiating separate {{BufferPool}}, so that we can insulate internode messaging from the {{ChunkCache}}, or at least have separate memory bounds for each, and only share fully-freed chunks.
> With these improvements we can also safely increase the {{BufferPool}} chunk size to 128KiB or 256KiB, to guarantee we can fit compressed pages and reduce the amount of global coordination and per-allocation overhead.  We don’t need 1KiB granularity for allocations, nor 16 byte granularity for tiny allocations.



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