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https://issues.apache.org/jira/browse/CASSANDRA-16201?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Marcus Eriksson updated CASSANDRA-16201:
----------------------------------------
    Test and Documentation Plan: cci runs
                         Status: Patch Available  (was: Open)

4.0: 
[patch|https://github.com/krummas/cassandra/commits/marcuse/16201-4.0-new], 
[cci|https://app.circleci.com/pipelines/github/krummas/cassandra?branch=marcuse%2F16201-4.0-new]
3.11: 
[patch|https://github.com/krummas/cassandra/commits/marcuse/16201-3.11-new], 
[cci|https://app.circleci.com/pipelines/github/krummas/cassandra?branch=marcuse%2F16201-3.11-new]
3.0: 
[patch|https://github.com/krummas/cassandra/commits/marcuse/16201-3.0-new], 
[cci|https://app.circleci.com/pipelines/github/krummas/cassandra?branch=marcuse%2F16201-3.0-new]

this focuses only on getMutations as that is where the OOM happened - there is 
much more to do, but I think these fixes are fairly safe and make performance 
slightly more acceptable


> Reduce amount of allocations during batch statement execution
> -------------------------------------------------------------
>
>                 Key: CASSANDRA-16201
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-16201
>             Project: Cassandra
>          Issue Type: Bug
>          Components: Local/Other
>            Reporter: Thomas Steinmaurer
>            Assignee: Marcus Eriksson
>            Priority: Normal
>             Fix For: 3.0.x, 3.11.x, 4.0-beta
>
>         Attachments: screenshot-1.png, screenshot-2.png
>
>
> In a Cas 2.1 / 3.0 / 3.11 / 4.0b2 comparison test with the same load profile, 
> we see 4.0b2 going OOM from time to time. According to a heap dump, we have 
> multiple NTR threads in a 3-digit MB range.
> This is likely related to object array pre-allocations at the size of 
> {{BatchUpdatesCollector.updatedRows}} per {{BTree}} although there is always 
> only 1 {{BTreeRow}} in the {{BTree}}.
>  !screenshot-1.png|width=100%! 
> So it seems we have many, many 20K elemnts pre-allocated object arrays 
> resulting in a shallow heap of 80K each, although there is only one element 
> in the array.
> This sort of pre-allocation is causing a lot of memory pressure.



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