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Posted to commits@cassandra.apache.org by "Sylvain Lebresne (JIRA)" <ji...@apache.org> on 2016/02/25 12:04:18 UTC
[jira] [Commented] (CASSANDRA-8817) Error handling in Cassandra
logs in low memory scenarios could use improvement
[ https://issues.apache.org/jira/browse/CASSANDRA-8817?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15167079#comment-15167079 ]
Sylvain Lebresne commented on CASSANDRA-8817:
---------------------------------------------
I don't think trying to guess some random minimal amount of memory required is a good idea. The one thing here that I can agree we may want to look at is why C* crashes without logging any error, assuming that this is indeed what happened.
> Error handling in Cassandra logs in low memory scenarios could use improvement
> ------------------------------------------------------------------------------
>
> Key: CASSANDRA-8817
> URL: https://issues.apache.org/jira/browse/CASSANDRA-8817
> Project: Cassandra
> Issue Type: Improvement
> Environment: Ubuntu 14.04, VM originally created with 1 GB RAM, DSE 4.6.0 installed
> Reporter: Michael DeHaan
> Priority: Minor
> Labels: lhf
> Fix For: 2.1.x
>
>
> When running Cassandra with a low amount of RAM, in this case, using DataStax Enterprise 4.6.0 in a reasonably default configuration, I find that I get an error after starting and trying to use nodetool, namely that it cannot connect to 127.0.0.1. Originally this sends me up a creek, looking for why Cassandra is not listening on 7199. The truth ends up being a bit more cryptic - that Cassandra isn't running.
> Upon looking at the Cassandra system logs, I see the last thing that it did was print out the (very long) class path. This confused me as basically I'm seeing no errors in the log at all.
> I am proposing that Cassandra should check the amount of available RAM and issue a warning in the log, or possibly an error, because in this scenario Cassandra is going to oomkill and probably could have predicted this in advance.
> Something like:
> "Found X MB of RAM, expecting at least Y MB of RAM, Z MB recommended, may crash, adjust <SETTINGS>" or something similar would be a possible solution.
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