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https://issues.apache.org/jira/browse/CASSANDRA-6271?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sylvain Lebresne updated CASSANDRA-6271:
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    Attachment: 0001-Always-call-ReplaceFunction.txt

Another problem is that the ColumnUpdater is not called for the first insert in 
a partition. This breaks some dtests (and is the reason for the last comments 
on CASSANDRA-4511).

Attaching a simple patch that fixes that. I'll note that this patch also 
include the tmp.patch fix as it happens.

> Replace SnapTree in AtomicSortedColumns
> ---------------------------------------
>
>                 Key: CASSANDRA-6271
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-6271
>             Project: Cassandra
>          Issue Type: Improvement
>            Reporter: Benedict
>            Assignee: Benedict
>              Labels: performance
>             Fix For: 2.1
>
>         Attachments: 0001-Always-call-ReplaceFunction.txt, oprate.svg, 
> tmp.patch
>
>
> On the write path a huge percentage of time is spent in GC (>50% in my tests, 
> if accounting for slow down due to parallel marking). SnapTrees are both GC 
> unfriendly due to their structure and also very expensive to keep around - 
> each column name in AtomicSortedColumns uses > 100 bytes on average 
> (excluding the actual ByteBuffer).
> I suggest using a sorted array; changes are supplied at-once, as opposed to 
> one at a time, and if < 10% of the keys in the array change (and data equal 
> to < 10% of the size of the key array) we simply overlay a new array of 
> changes only over the top. Otherwise we rewrite the array. This method should 
> ensure much less GC overhead, and also save approximately 80% of the current 
> memory overhead.
> TreeMap is similarly difficult object for the GC, and a related task might be 
> to remove it where not strictly necessary, even though we don't keep them 
> hanging around for long. TreeMapBackedSortedColumns, for instance, seems to 
> be used in a lot of places where we could simply sort the columns.



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