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https://issues.apache.org/jira/browse/CASSANDRA-10496?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15988455#comment-15988455
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Corentin Chary commented on CASSANDRA-10496:
--------------------------------------------

I wanted to give it a shot for TWCS because of CASSANDRA-13418, I was thinking 
about using a custom CompactionAwareWriter to seggregate data by timestamp in 
the first window (and also make --split-output work). Currently I'm planning to 
use partition.stats().minTimestamp, but I'm not sure how it is affect by 
read-repairs. It may be a better idea to group data by deletion time instead ..

> Make DTCS/TWCS split partitions based on time during compaction
> ---------------------------------------------------------------
>
>                 Key: CASSANDRA-10496
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-10496
>             Project: Cassandra
>          Issue Type: Improvement
>            Reporter: Marcus Eriksson
>              Labels: dtcs
>             Fix For: 3.11.x
>
>
> To avoid getting old data in new time windows with DTCS (or related, like 
> [TWCS|CASSANDRA-9666]), we need to split out old data into its own sstable 
> during compaction.
> My initial idea is to just create two sstables, when we create the compaction 
> task we state the start and end times for the window, and any data older than 
> the window will be put in its own sstable.
> By creating a single sstable with old data, we will incrementally get the 
> windows correct - say we have an sstable with these timestamps:
> {{[100, 99, 98, 97, 75, 50, 10]}}
> and we are compacting in window {{[100, 80]}} - we would create two sstables:
> {{[100, 99, 98, 97]}}, {{[75, 50, 10]}}, and the first window is now 
> 'correct'. The next compaction would compact in window {{[80, 60]}} and 
> create sstables {{[75]}}, {{[50, 10]}} etc.
> We will probably also want to base the windows on the newest data in the 
> sstables so that we actually have older data than the window.



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