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https://issues.apache.org/jira/browse/CASSANDRA-13418?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15988836#comment-15988836
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Nate McCall commented on CASSANDRA-13418:
-----------------------------------------

I would like to see an append-only optimization as [~iksaif] and others have 
described: off by default and scary warnings in the docs. This is a common 
enough use case (particularly in that folks like [~intjonathan] and crew having 
a patched version deployed already) that we should provide an optimization for 
it. 

> 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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