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Jeff Jirsa commented on CASSANDRA-13418: ---------------------------------------- I think the path forward is this: Let's create a new compaction option, that ISNT in any of the autocomplete logic, and has a scary name {{unsafe_aggressive_sstable_expiration}} . We could also add a system property {{-Dcassandra.unsafe.aggressive_sstable_expiration}} to make sure nobody ever enables this by mistake and gets unsafe behavior. The same patch should add a section to the documentation explaining exactly why this option is unsafe. Finally, The approach in the patch on this ticket is different from the approach on the fork [~intjonathan] linked - the reviewer (I can do it, or perhaps [~krummas] ) should definitely evaluate which approach is going to be better. > 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. -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@cassandra.apache.org For additional commands, e-mail: commits-h...@cassandra.apache.org