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From "Marcus Eriksson (JIRA)" <j...@apache.org>
Subject [jira] [Comment Edited] (CASSANDRA-13943) Infinite compaction of L0 SSTables in JBOD
Date Thu, 12 Oct 2017 17:32:00 GMT

    [ https://issues.apache.org/jira/browse/CASSANDRA-13943?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16202320#comment-16202320
] 

Marcus Eriksson edited comment on CASSANDRA-13943 at 10/12/17 5:31 PM:
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but not seeing any infinite compactions in the logs anymore?

and could you post your cassandra.yaml and describe how much data you are writing?

the logs for a node would help as well


was (Author: krummas):
but not seeing any infinite compactions in the logs anymore?

and could you post your cassandra.yaml and describe how much data you are writing?

> Infinite compaction of L0 SSTables in JBOD
> ------------------------------------------
>
>                 Key: CASSANDRA-13943
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-13943
>             Project: Cassandra
>          Issue Type: Bug
>          Components: Compaction
>         Environment: Cassandra 3.11.0 / Centos 6
>            Reporter: Dan Kinder
>            Assignee: Marcus Eriksson
>         Attachments: cassandra-jstack-2017-10-12.txt, debug.log, debug.log-with-commit-d8f3f2780
>
>
> I recently upgraded from 2.2.6 to 3.11.0.
> I am seeing Cassandra loop infinitely compacting the same data over and over. Attaching
logs.
> It is compacting two tables, one on /srv/disk10, the other on /srv/disk1. It does create
new SSTables but immediately recompacts again. Note that I am not inserting anything at the
moment, there is no flushing happening on this table (Memtable switch count has not changed).
> My theory is that it somehow thinks those should be compaction candidates. But they shouldn't
be, they are on different disks and I ran nodetool relocatesstables as well as nodetool compact.
So, it tries to compact them together, but the compaction results in the exact same 2 SSTables
on the 2 disks, because the keys are split by data disk.
> This is pretty serious, because all our nodes right now are consuming CPU doing this
for multiple tables, it seems.



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