[jira] [Commented] (CASSANDRA-13418) Allow TWCS to ignore overlaps when dropping fully expired sstables

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

    [ https://issues.apache.org/jira/browse/CASSANDRA-13418?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15961662#comment-15961662 ] 

Jeff Jirsa commented on CASSANDRA-13418:
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unchecked_tombstone_compaction and tombstone_compaction_interval help here, but it's still not necessary - you may be able to promise/guarantee that all writes are appends (not overwrites or deletes), in which case there's no reason to recompact all the sstables to incrementally remove garbage, when the data truly is expired and obsolete.


> Allow TWCS to ignore overlaps when dropping fully expired sstables
> ------------------------------------------------------------------
>
>                 Key: CASSANDRA-13418
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-13418
>             Project: Cassandra
>          Issue Type: Improvement
>          Components: Compaction
>            Reporter: Corentin Chary
>              Labels: twcs
>
> http://thelastpickle.com/blog/2016/12/08/TWCS-part1.html explains it well. If you really want read-repairs you're going to have sstables blocking the expiration of other fully expired SSTables because they overlap.
> You can set unchecked_tombstone_compaction = true or tombstone_threshold to a very low value and that will purge the blockers of old data that should already have expired, thus removing the overlaps and allowing the other SSTables to expire.
> The thing is that this is rather CPU intensive and not optimal. If you have time series, you might not care if all your data doesn't exactly expire at the right time, or if data re-appears for some time, as long as it gets deleted as soon as it can. And in this situation I believe it would be really beneficial to allow users to simply ignore overlapping SSTables when looking for fully expired ones.
> To the question: why would you need read-repairs ?
> - Full repairs basically take longer than the TTL of the data on my dataset, so this isn't really effective.
> - Even with a 10% chances of doing a repair, we found out that this would be enough to greatly reduce entropy of the most used data (and if you have timeseries, you're likely to have a dashboard doing the same important queries over and over again).
> - LOCAL_QUORUM is too expensive (need >3 replicas), QUORUM is too slow.
> I'll try to come up with a patch demonstrating how this would work, try it on our system and report the effects.
> cc: [~adejanovski], [~rgerard] as I know you worked on similar issues already.



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