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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/07/25 00:37:04 UTC
[jira] [Assigned] (SPARK-9328) Netty IO layer should implement read
timeouts
[ https://issues.apache.org/jira/browse/SPARK-9328?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-9328:
-----------------------------------
Assignee: Apache Spark (was: Josh Rosen)
> Netty IO layer should implement read timeouts
> ---------------------------------------------
>
> Key: SPARK-9328
> URL: https://issues.apache.org/jira/browse/SPARK-9328
> Project: Spark
> Issue Type: Bug
> Components: Shuffle, Spark Core
> Reporter: Josh Rosen
> Assignee: Apache Spark
>
> Spark's network layer does not implement read timeouts which may lead to stalls during shuffle: if a remote shuffle server stalls while responding to a shuffle block fetch request but does not close the socket then the job may block until an OS-level socket timeout occurs.
> I think that we can fix this using Netty's ReadTimeoutHandler (http://stackoverflow.com/questions/13390363/netty-connecttimeoutmillis-vs-readtimeouthandler). The tricky part of working on this will be figuring out the right place to add the handler and ensuring that we don't introduce performance issues by not re-using sockets.
> Quoting from that linked StackOverflow question:
> {quote}
> Note that the ReadTimeoutHandler is also unaware of whether you have sent a request - it only cares whether data has been read from the socket. If your connection is persistent, and you only want read timeouts to fire when a request has been sent, you'll need to build a request / response aware timeout handler.
> {quote}
> If we want to avoid tearing down connections between shuffles then we may have to do something like this.
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