[jira] [Updated] (CASSANDRA-4310) Multiple independent Level Compactions in Parallel

["Yuki Morishita (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/CASSANDRA-4310?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yuki Morishita updated CASSANDRA-4310:
--------------------------------------

    Attachment: 4310-v3.txt

V3 attached.

bq. Shouldn't "skip submitBackground" logic be "CF is currently compacting, AND no more idle threads?"

Yes. Fixed this.

bq. Looks like compactingCF.remove(cfs); could be moved to the topmost finally block of run()

Done.

bq. We already track compacting sstables in DataTracker.View; seems like we shouldn't need to duplicate this in LeveledManifest. (I note that getting this correct in DT took some effort so I am worried on that level as well as abstract code purity.) If the problem is that getNextBackgroundTask is called multiple times before CompactionManager officially marks the sstables as in-progress, my preferred solution would be to move the in-progress code earlier.

I modified the code to mark sstables compacting before returning compaction task so that I can use DataTracker.View's compacting property. If nothing can be marked, then no task is returned.

I also cleaned up no longer used codes.
                
> Multiple independent Level Compactions in Parallel
> --------------------------------------------------
>
>                 Key: CASSANDRA-4310
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-4310
>             Project: Cassandra
>          Issue Type: New Feature
>          Components: Core
>    Affects Versions: 1.0.0
>            Reporter: sankalp kohli
>            Assignee: Yuki Morishita
>              Labels: compaction, features, leveled, performance, ssd
>             Fix For: 1.2.1
>
>         Attachments: 4310.txt, 4310-v2.txt, 4310-v3.txt
>
>
> Problem: If you are inserting data into cassandra and level compaction cannot catchup, you will create lot of files in L0.  
> Here is a solution which will help here and also increase the performance of level compaction.
> We can do many compactions in parallel for unrelated data.
> 1) For no over lapping levels. Ex: when L0 stable is compacting with L1, we can do compactions in other levels like L2 and L3 if they are eligible.
> 2) We can also do compactions with files in L1 which are not participating in L0 compactions.
> This is specially useful if you are using SSD and is not bottlenecked by IO. 
> I am seeing this issue in my cluster. The compactions pending are more than 50k and the disk usage is not that much(I am using SSD).
> I am doing multithreaded to true and also not throttling the IO by putting the value as 0. 
>  

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