[ 
http://issues.apache.org/jira/browse/HADOOP-16?page=comments#action_12366659 ] 

Bryan Pendleton commented on HADOOP-16:
---------------------------------------

I'm not sure this patch does quite what's desired.

It looks like before it would try as hard as possible to find a task with a 
cache hit, then fail to running either just the first executable task. Now, it 
will search for the first task that's either a cache hit *or* executable..... 
In principle, wouldn't you only want to break out of the loop for finding a 
cache hit? This, of course, still causes timeouts - is there any way to 
actually precompute the list of cache hits, so that it's just a matter of 
picking a task from a priority queue?

> RPC call times out while indexing map task is computing splits
> --------------------------------------------------------------
>
>          Key: HADOOP-16
>          URL: http://issues.apache.org/jira/browse/HADOOP-16
>      Project: Hadoop
>         Type: Bug
>   Components: mapred
>  Environment: MapReduce multi-computer crawl environment: 11 machines (1 
> master with JobTracker/NameNode, 10 slaves with TaskTrackers/DataNodes)
>     Reporter: Chris Schneider
>  Attachments: patch.16
>
> We've been using Nutch 0.8 (MapReduce) to perform some internet crawling. 
> Things seemed to be going well until...
> 060129 222409 Lost tracker 'tracker_56288'
> 060129 222409 Task 'task_m_10gs5f' has been lost.
> 060129 222409 Task 'task_m_10qhzr' has been lost.
>    ........
>    ........
> 060129 222409 Task 'task_r_zggbwu' has been lost.
> 060129 222409 Task 'task_r_zh8dao' has been lost.
> 060129 222455 Server handler 8 on 8010 caught: java.net.SocketException: 
> Socket closed
> java.net.SocketException: Socket closed
>         at java.net.SocketOutputStream.socketWrite(SocketOutputStream.java:99)
>         at java.net.SocketOutputStream.write(SocketOutputStream.java:136)
>         at 
> java.io.BufferedOutputStream.flushBuffer(BufferedOutputStream.java:65)
>         at java.io.BufferedOutputStream.flush(BufferedOutputStream.java:123)
>         at java.io.DataOutputStream.flush(DataOutputStream.java:106)
>         at org.apache.nutch.ipc.Server$Handler.run(Server.java:216)
> 060129 222455 Adding task 'task_m_cia5po' to set for tracker 'tracker_56288'
> 060129 223711 Adding task 'task_m_ffv59i' to set for tracker 'tracker_25647'
> I'm hoping that someone could explain why task_m_cia5po got added to 
> tracker_56288 after this tracker was lost.
> The Crawl .main process died with the following output:
> 060129 221129 Indexer: adding segment: 
> /user/crawler/crawl-20060129091444/segments/20060129200246
> Exception in thread "main" java.io.IOException: timed out waiting for response
>     at org.apache.nutch.ipc.Client.call(Client.java:296)
>     at org.apache.nutch.ipc.RPC$Invoker.invoke(RPC.java:127)
>     at $Proxy1.submitJob(Unknown Source)
>     at org.apache.nutch.mapred.JobClient.submitJob(JobClient.java:259)
>     at org.apache.nutch.mapred.JobClient.runJob(JobClient.java:288)
>     at org.apache.nutch.indexer.Indexer.index(Indexer.java:263)
>     at org.apache.nutch.crawl.Crawl.main(Crawl.java:127)
> However, it definitely seems as if the JobTracker is still waiting for the 
> job to finish (no failed jobs).
> Doug Cutting's response:
> The bug here is that the RPC call times out while the map task is computing 
> splits.  The fix is that the job tracker should not compute splits until 
> after it has returned from the submitJob RPC.  Please submit a bug in Jira to 
> help remind us to fix this.

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