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Posted to commits@cassandra.apache.org by "C. Scott Andreas (JIRA)" <ji...@apache.org> on 2018/11/18 18:25:02 UTC
[jira] [Updated] (CASSANDRA-7542) Reduce CAS contention
[ https://issues.apache.org/jira/browse/CASSANDRA-7542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
C. Scott Andreas updated CASSANDRA-7542:
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Component/s: Coordination
> Reduce CAS contention
> ---------------------
>
> Key: CASSANDRA-7542
> URL: https://issues.apache.org/jira/browse/CASSANDRA-7542
> Project: Cassandra
> Issue Type: Improvement
> Components: Coordination
> Reporter: sankalp kohli
> Priority: Minor
> Labels: LWT
> Fix For: 4.x
>
>
> CAS updates on same CQL partition can lead to heavy contention inside C*. I am looking for simple ways(no algorithmic changes) to reduce contention as the penalty of it is high in terms of latency, specially for reads.
> We can put some sort of synchronization on CQL partition at StorageProxy level. This will reduce contention at least for all requests landing on one box for same partition.
> Here is an example of why it will help:
> 1) Say 1 write and 2 read CAS requests for the same partition key is send to C* in parallel.
> 2) Since client is token-aware, it sends these 3 request to the same C* instance A. (Lets assume that all 3 requests goto same instance A)
> 3) In this C* instance A, all 3 CAS requests will contend with each other in Paxos. (This is bad)
> To improve contention in 3), what I am proposing is to add a lock on partition key similar to what we do in PaxosState.java to serialize these 3 requests. This will remove the contention and improve performance as these 3 requests will not collide with each other.
> Another improvement we can do in client is to pick a deterministic live replica for a given partition doing CAS.
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