Is there a line that says "Job Setup: Failed" at the top of the job page?
Failed (or "Successful") should be a link, click through that to get the
setup log.

D

On Fri, Apr 1, 2011 at 6:02 PM, Dimitris Iliopoulos <
[email protected]> wrote:

> Dmitriy,
>
> The jobtracker does indeed mark the job as failed but the problem is that
> there are no log files. All map and reduce tasks are flagged as killed and
> upon inspection produce no logs. The only logs are the ones I appended
> before produced by Pig.
>
> - Dimitris
>
> On Fri, Apr 1, 2011 at 5:55 PM, Dmitriy Ryaboy <[email protected]> wrote:
>
> > Dimitris,
> > You should be able to look at the jobs submitted to your jobtracker and
> > find
> > out what happened to the pig job (the message " Job terminated with
> > anomalous status FAILED" leads me to believe there is some job setup
> > problem). Do you see any pig job attempts on your jobtracker UI?
> >
> > D
> >
> > On Fri, Apr 1, 2011 at 2:16 PM, Dimitris Iliopoulos <
> > [email protected]> wrote:
> >
> > > Currently using Pig 0.8 and Hadoop 0.20.2. I'm able to run things in
> > local
> > > mode as well as run fs -* commands from within Grunt running in
> MapReduce
> > > mode. I can't seem to be able to execute any Pig Latin statement in
> > > MapReduce mode. The fact that I can browse HDFS and access files leads
> me
> > > to
> > > believe that the setup is correct (also verified by the correct
> namenode
> > > and
> > > jobtracker addresses connected to when firing off any pig command). I
> > don't
> > > know why though I can't run anything else. A simple command like the
> > > following:
> > >
> > > data = LOAD 'test.csv' USING PigStorage(',');
> > > DUMP data;
> > >
> > > Produces the following stack trace:
> > >
> > > Pig Stack Trace
> > > ---------------
> > > ERROR 1066: Unable to open iterator for alias data
> > >
> > > org.apache.pig.impl.logicalLayer.FrontendException: ERROR 1066: Unable
> to
> > > open iterator for alias data
> > >        at org.apache.pig.PigServer.openIterator(PigServer.java:754)
> > >        at
> > >
> org.apache.pig.tools.grunt.GruntParser.processDump(GruntParser.java:612)
> > >        at
> > >
> > >
> >
> org.apache.pig.tools.pigscript.parser.PigScriptParser.parse(PigScriptParser.java:303)
> > >        at
> > >
> > >
> >
> org.apache.pig.tools.grunt.GruntParser.parseStopOnError(GruntParser.java:165)
> > >        at
> > >
> > >
> >
> org.apache.pig.tools.grunt.GruntParser.parseStopOnError(GruntParser.java:141)
> > >        at org.apache.pig.tools.grunt.Grunt.run(Grunt.java:76)
> > >        at org.apache.pig.Main.run(Main.java:465)
> > >        at org.apache.pig.Main.main(Main.java:107)
> > > Caused by: java.io.IOException: Job terminated with anomalous status
> > FAILED
> > >        at org.apache.pig.PigServer.openIterator(PigServer.java:744)
> > >        ... 7 more
> > >
> > > Any other more elaborate collection of Pig statements will produce
> this:
> > >
> > > Pig Stack Trace
> > > ---------------
> > > ERROR 2244: Job failed, hadoop does not return any error message
> > >
> > > org.apache.pig.backend.executionengine.ExecException: ERROR 2244: Job
> > > failed, hadoop does not return any error message
> > > at
> > >
> org.apache.pig.tools.grunt.GruntParser.executeBatch(GruntParser.java:116)
> > > at
> > >
> > >
> >
> org.apache.pig.tools.grunt.GruntParser.parseStopOnError(GruntParser.java:169)
> > > at
> > >
> > >
> >
> org.apache.pig.tools.grunt.GruntParser.parseStopOnError(GruntParser.java:141)
> > > at org.apache.pig.tools.grunt.Grunt.exec(Grunt.java:90)
> > > at org.apache.pig.Main.run(Main.java:510)
> > > at org.apache.pig.Main.main(Main.java:107)
> > >
> > > Where any input file is flagged as unreadable by the following error
> > > message
> > > during execution:
> > >
> > > Input(s):
> > > Failed to read data from "test.csv"
> > >
> > > All files are accessible in MapReduce mode via cat, ls etc. I might be
> > > missing something very obvious here since this is the first time I've
> > used
> > > Pig so any help would be greatly appreciated.
> > >
> > > - Dimitris
> > >
> >
>

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