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https://issues.apache.org/jira/browse/CASSANDRA-8866?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Takenori Sato updated CASSANDRA-8866:
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Attachment: cassandra-2.0-8866.txt
confirmed it works as expected both on a single node and multi nodes env. Only
two partitioners, Murmur3Partitioners and RandomPartitioners, are tested.
> PartitionedCompactionStrategy
> -----------------------------
>
> Key: CASSANDRA-8866
> URL: https://issues.apache.org/jira/browse/CASSANDRA-8866
> Project: Cassandra
> Issue Type: New Feature
> Reporter: Takenori Sato
> Attachments: cassandra-2.0-8866.txt
>
>
> PartitionedCompactionStrategy is a new compaction strategy with the following
> goals in mind:
> * Column tombstone removal effectiveness
> * Read performance
> As the name suggests, PartitionedCompactionStrategy actively splits
> un-partitioned sstables(newly flushed, imported, compaction strategy switch)
> into partitions by IPartitioner. The number of nodes will be configurable.
> Then, PartitionedCompactionStrategy finds an interesting partition at
> compaction based on the followings:
> - the number of sstables
> - the ratio of droppable tombstones
> - read hotness
> You may think this design looks similar to SizeTieredCompactionStrategy and
> LeveledCompactionStrategy, but the big difference is that a compaction by
> PartitionedCompactionStrategy is based on rows(a partitions). And this allows
> more effective column tombstone removal, and better read performance.
> Also note that this will not require any changes to the other components. So
> this is expected to be a purely pluggable compaction strategy.
> A possible implementation of
> _PertitionedCompactionStrategy#getNextBackgroundTask()_ is as follows:
> # find un-partitioned sstables
> # split un-partitioned sstables into partitiones
> # group all the sstables into partitions
> # find an interesting partition
> #* the number of sstables
> #* the number of droppable tombstones
> #* hotness
> # create a compaction task for the interesting bucket if found
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