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Posted to commits@cassandra.apache.org by "Jeremy Hanna (JIRA)" <ji...@apache.org> on 2019/06/13 18:29:11 UTC
[jira] [Updated] (CASSANDRA-12464) Investigate the potential
improvement of parallelism on higher level compactions in LCS
[ https://issues.apache.org/jira/browse/CASSANDRA-12464?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jeremy Hanna updated CASSANDRA-12464:
-------------------------------------
Complexity: Low Hanging Fruit
> Investigate the potential improvement of parallelism on higher level compactions in LCS
> ---------------------------------------------------------------------------------------
>
> Key: CASSANDRA-12464
> URL: https://issues.apache.org/jira/browse/CASSANDRA-12464
> Project: Cassandra
> Issue Type: Improvement
> Components: Local/Compaction
> Reporter: Wei Deng
> Assignee: Pramod K Sivaraju
> Priority: Normal
> Labels: lcs, lhf, performance
>
> According to LevelDB's design doc [here|https://github.com/google/leveldb/blob/master/doc/impl.md#compactions], "A compaction merges the contents of the picked files to produce a sequence of level-(L+1) files", it will "switch to producing a new level-(L+1) file after the current output file has reached the target file size" (in our case 160MB), it will also "switch to a new output file when the key range of the current output file has grown enough to overlap more than ten level-(L+2) files". This is to ensure "that a later compaction of a level-(L+1) file will not pick up too much data from level-(L+2)."
> Our current code in LeveledCompactionStrategy doesn't implement this last rule, but we might be able to quickly implement it and see how much a compaction throughput improvement it can deliver. Potentially we can create a scenario where a number of large L0 SSTables are present (e.g. 200GB after switching from STCS) and let it to create thousands of L1 SSTables overflow, and see how fast LCS can digest this much data from L1 and properly upper-level them to completion.
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