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Posted to commits@cassandra.apache.org by "Brent (JIRA)" <ji...@apache.org> on 2019/05/06 14:50:00 UTC

[jira] [Updated] (CASSANDRA-15119) Repair fails randomly, causing nodes to restart

     [ https://issues.apache.org/jira/browse/CASSANDRA-15119?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Brent updated CASSANDRA-15119:
------------------------------
    Description: 
We have a cluster of 3 nodes (same dc) that is ~8GB on disk (per node). One keyspace has two tables, combined having about 20m rows with around 20 colums each. Whenever we try to run a repair (with or without cassandra-reaper, on any setting) the repair causes certain nodes to fail and restart. Originally these nodes had the default heap space calculation on a device with 12GB ram.

We upscaled these to 24GB ram and 12GB XMX which seemed to make a difference but still not quite enough. With JProfiler we can see that random nodes reach the xmx limit, regardless of the size of the repair, while streaming data.

I can't understand that such operations can cause servers to literally crash rather than just say "no I can't do it". We've tried a lot of things including setting up a fresh cluster and manually inserting all the data (with the correct replication factor) and then run repairs.

Sometimes they will work (barely) sometimes they will fail. I really don't understand.

We're running cassandra 3.11.4.  

Could I receive some assistance in troubleshooting this?

  was:
We have a cluster of 3 nodes (same dc) that is ~8GB on disk (per node). One keyspace has two tables, combined having about 20m rows with around 20 colums each. Whenever we try to run a repair (with or without cassandra-reaper, on any setting) the repair causes certain nodes to fail and restart. Originally these nodes had the default heap space calculation on a device with 12GB ram.

We upscaled these to 24GB ram and 12GB XMX which seemed to make a difference but still not quite enough. With JProfiler we can see that random nodes reach the xmx limit, regardless of the size of the repair, while streaming data.

I can't understand that such operations can cause servers to literally crash rather than just say "no I can't do it". We've tried a lot of things including setting up a fresh cluster and manually inserting all the data (with the correct replication factor) and then run repairs.

Sometimes they will work (barely) sometimes they will fail. I really don't understand.

We're running cassandra 3.11.4.  


> Repair fails randomly, causing nodes to restart
> -----------------------------------------------
>
>                 Key: CASSANDRA-15119
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-15119
>             Project: Cassandra
>          Issue Type: Bug
>          Components: Consistency/Repair, Consistency/Streaming
>            Reporter: Brent
>            Priority: Normal
>
> We have a cluster of 3 nodes (same dc) that is ~8GB on disk (per node). One keyspace has two tables, combined having about 20m rows with around 20 colums each. Whenever we try to run a repair (with or without cassandra-reaper, on any setting) the repair causes certain nodes to fail and restart. Originally these nodes had the default heap space calculation on a device with 12GB ram.
> We upscaled these to 24GB ram and 12GB XMX which seemed to make a difference but still not quite enough. With JProfiler we can see that random nodes reach the xmx limit, regardless of the size of the repair, while streaming data.
> I can't understand that such operations can cause servers to literally crash rather than just say "no I can't do it". We've tried a lot of things including setting up a fresh cluster and manually inserting all the data (with the correct replication factor) and then run repairs.
> Sometimes they will work (barely) sometimes they will fail. I really don't understand.
> We're running cassandra 3.11.4.  
> Could I receive some assistance in troubleshooting this?



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