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Pig >> mail # user >> simple script generating 'too many counters' error


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Re: simple script generating 'too many counters' error
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On Thu, Apr 4, 2013 at 4:54 PM, Dmitriy Ryaboy <[EMAIL PROTECTED]> wrote:

> Do you have any special properties set?
> Like the pig.udf.profile one maybe..
> D
>
>
> On Thu, Apr 4, 2013 at 6:25 AM, Lauren Blau <
> [EMAIL PROTECTED]> wrote:
>
> > I'm running a simple script to add a sequence_number to a relation, sort
> > the result and store to a file:
> >
> > a0 = load '<filename>' using PigStorage('\t','-schema');
> > a1 = rank a0;
> > a2 = foreach a1 generate col1 .. col16 , rank_a0 as sequence_number;
> > a3 = order a2 by  sequence_number;
> > store a3 into 'outputfile' using PigStorage('\t','-schema');
> >
> > I get the following error:
> > org.apache.hadoop.mapreduce.counters.LimitExceededException: Too many
> > counters: 241 max=240
> >     at
> > org.apache.hadoop.mapreduce.counters.Limits.checkCounters(Limits.java:61)
> >     at
> > org.apache.hadoop.mapreduce.counters.Limits.incrCounters(Limits.java:68)
> >     at
> >
> >
> org.apache.hadoop.mapreduce.counters.AbstractCounterGroup.readFields(AbstractCounterGroup.java:174)
> >     at
> > org.apache.hadoop.mapred.Counters$Group.readFields(Counters.java:278)
> >     at
> >
> >
> org.apache.hadoop.mapreduce.counters.AbstractCounters.readFields(AbstractCounters.java:303)
> >     at
> > org.apache.hadoop.io.ObjectWritable.readObject(ObjectWritable.java:280)
> >     at
> > org.apache.hadoop.io.ObjectWritable.readFields(ObjectWritable.java:75)
> >     at
> > org.apache.hadoop.ipc.Client$Connection.receiveResponse(Client.java:951)
> >     at org.apache.hadoop.ipc.Client$Connection.run(Client.java:835)
> >
> >
> > we aren't able to up our counters any higher (policy) and I don't
> > understand why I should need so many counters for such a simple script
> > anyway?
> > running Apache Pig version 0.11.1-SNAPSHOT (r: unknown)
> > compiled Mar 22 2013, 10:19:19
> >
> > Can someone help?
> >
> > Thanks,
> > Lauren
> >
>
NEW: Monitor These Apps!
elasticsearch, apache solr, apache hbase, hadoop, redis, casssandra, amazon cloudwatch, mysql, memcached, apache kafka, apache zookeeper, apache storm, ubuntu, centOS, red hat, debian, puppet labs, java, senseiDB