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https://issues.apache.org/jira/browse/CASSANDRA-13474?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17100606#comment-17100606
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Benjamin S commented on CASSANDRA-13474:
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Is it still being worked on? Or has it been abandoned?
> Cassandra pluggable storage engine
> ----------------------------------
>
> Key: CASSANDRA-13474
> URL: https://issues.apache.org/jira/browse/CASSANDRA-13474
> Project: Cassandra
> Issue Type: New Feature
> Components: Legacy/Core
> Reporter: Dikang Gu
> Priority: Normal
>
> Instagram is working on a project to significantly reduce Cassandra's tail
> latency, by implementing a new storage engine on top of RocksDB, named
> Rocksandra.
> We started a prototype of single column (key-value) use case, and then
> implemented a full design to support most of the data types and data models
> in Cassandra, as well as streaming.
> After a year of development and testing, we have rolled out the Rocksandra
> project to our internal deployments, and observed 3-4X reduction on P99 read
> latency in general, even more than 10 times reduction for some use cases.
> We published a blog post about the wins and the benchmark metrics on AWS
> environment.
> https://engineering.instagram.com/open-sourcing-a-10x-reduction-in-apache-cassandra-tail-latency-d64f86b43589
> I think the biggest performance win comes from we get rid of most Java
> garbages created by current read/write path and compactions, which reduces
> the JVM overhead and makes the latency to be more predictable.
> We are very excited about the potential performance gain. As the next step, I
> propose to make the Cassandra storage engine to be pluggable (like Mysql and
> MongoDB), and we are very interested in providing RocksDB as one storage
> option with more predictable performance, together with community.
> Design doc for pluggable storage engine:
> https://docs.google.com/document/d/1suZlvhzgB6NIyBNpM9nxoHxz_Ri7qAm-UEO8v8AIFsc/edit
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