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From "Shoban (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (CASSANDRA-13489) Cassandra Repair in 2.2.8
Date Thu, 04 May 2017 10:31:04 GMT

    [ https://issues.apache.org/jira/browse/CASSANDRA-13489?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15996514#comment-15996514
] 

Shoban commented on CASSANDRA-13489:
------------------------------------

Hi [~spod],

Ok closing this task and will mail to users mailing list.

Thanks

> Cassandra Repair in 2.2.8
> -------------------------
>
>                 Key: CASSANDRA-13489
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-13489
>             Project: Cassandra
>          Issue Type: Task
>         Environment: Linux Redhat Enterprise, 32 GB RAM, 
>            Reporter: Shoban
>            Priority: Critical
>
> I am using 4 node, 2 data center Cassandra cluster. While running nodetool repair -dcpar
it takes arund 2 hours 30 minutes for database size of 20 MB. I checked how to tune streaming
of data between data centers from below url:
> https://support.datastax.com/hc/en-us/articles/205409646-How-to-performance-tune-data-streaming-activities-like-repair-and-bootstrap
> But still the repair takes 2 hours and 30 mins. I drilled down the repair logs and identified
while repair Cassandra repairs 256 ranges per node which is 4*256=1024. In a single token
range merkle tree for each column families is compared which takes around 110 ms. We have
80 column families thus it takes 110*80*1024 which results in 2 hours 30 mins.
> Can we reduce number of traffic by generating merkle tree for more than one column family
at a time? 
> Or is there any other way to reduce the repair procedure in Cassandra 2.2.



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