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https://issues.apache.org/jira/browse/CASSANDRA-10787?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15242754#comment-15242754
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Alex Petrov commented on CASSANDRA-10787:
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[~piotrwest] if it's still relevant, you could check if the data is spread
across the cluster evenly. It might be that the partition key is biased toward
one of the nodes.
Also, I'd check hints and compactions, since they may play a role in server
load.
> OutOfMemoryError after few hours from node restart
> --------------------------------------------------
>
> Key: CASSANDRA-10787
> URL: https://issues.apache.org/jira/browse/CASSANDRA-10787
> Project: Cassandra
> Issue Type: Bug
> Environment: Amazon DataStax Auto-Clustering AMI 2.6.3-1404-pv
> on 2x m1.large instances (2 vCPU, 64-bit, 7.5GB RAM, Raid0 2x420GB Disk)
> [cqlsh 5.0.1 | Cassandra 2.2.3 | CQL spec 3.3.1 | Native protocol v4]
> RF=3
> Reporter: Piotr Westfalewicz
> Fix For: 2.2.x
>
> Attachments: case2_debuglog_head.txt, case2_debuglog_tail.txt,
> case2_systemlog.txt, case3_debuglog_tail.txt, case3_systemlog_tail.txt,
> case4_debuglog_tail.txt, case4_systemlog.txt, case5_debuglog.txt,
> case5_systemlog.txt
>
>
> Cassandra Cluster was operating flawessly for around 3 months. Lately I've
> got a critical problem with it - after few hours of running clients are
> disconnected permanently (that may be Datastax C# Driver problem, though),
> however few more hours later (with smaller load), on all 2 nodes there is
> thrown an exception (details in files):
> bq. java.lang.OutOfMemoryError: Java heap space
> Cases description:
> Case 2 (heavy load):
> - 2015-11-26 16:09:40,834 Restarted all nodes in cassandra cluster
> - 2015-11-26 17:03:46,774 First client disconnected permanently
> - 2015-11-26 22:17:02,327 Node shutdown
> Case 3 (unknown load, different node):
> - 2015-11-26 02:19:49,585 Node shutdown (visible only in
> systemlog, I don't know why not in debug log)
> Case 4 (low load):
> - 2015-11-27 13:00:24,994 Node restart
> - 2015-11-27 22:26:56,131 Node shutdown
> Is that a software issue or I am using too weak Amazon instances? If so, how
> can the required amount of memory be calculated?
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