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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-9328) Netty IO layer should implement read timeouts
Date Fri, 24 Jul 2015 22:37:04 GMT

     [ https://issues.apache.org/jira/browse/SPARK-9328?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-9328:
-----------------------------------

    Assignee: Josh Rosen  (was: Apache Spark)

> 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: Josh Rosen
>
> 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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