In mapreduce, there is a proper Best Regards, Anil
On Jul 1, 2013, at 11:43 PM, Glen Arrowsmith <[email protected]> wrote: > Hi, > I'm getting an error on a map reduce task that use to work just fine for a > few weeks. > > Exceeded limits on number of counters - Counters=120 Limit=120 > > The full stderr output is at the bottom. > > I'm using Amazon's Elastic MapReduce. > The following command starts the job > elastic-mapreduce --create --name REGISTER table to S3 v2" --num-instances 6 > --with-supported-products mapr-m5 --instance-type m1.xlarge --hive-script > --arg s3://censored/dynamo-to-s3-v2.h --args > -d,OUTPATH=s3://censored/out/,-d,INTABLE="REGISTER" > > From what I've read you can't change the counter limit without recompiling. > > Originally I had "fixed" this problem by upgrading from standard map reduce > instances to mapr-m5 instances but that stopped working now for some reason. > > Thanks very much in advance for your help > > Glen Arrowsmith > Systems Architect > > > /mnt/var/lib/hadoop/steps/2/./hive-script:326: warning: Insecure world > writable dir /home/hadoop/bin in PATH, mode 040757 > Logging initialized using configuration in > file:/home/hadoop/.versions/hive-0.8.1/conf/hive-log4j.properties > Hive history > file=/mnt/var/lib/hive_081/tmp/history/hive_job_log_hadoop_201307020009_133883985.txt > OK > [snip] > Time taken: 0.389 seconds > OK > Time taken: 0.382 seconds > Total MapReduce jobs = 12 > Launching Job 1 out of 12 > Number of reduce tasks not specified. Defaulting to jobconf value of: 10 > In order to change the average load for a reducer (in bytes): > set hive.exec.reducers.bytes.per.reducer=<number> > In order to limit the maximum number of reducers: > set hive.exec.reducers.max=<number> > In order to set a constant number of reducers: > set mapred.reduce.tasks=<number> > Starting Job = job_201307020007_0001, Tracking URL = > http://ip-10-151-78-231.ec2.internal:9100/jobdetails.jsp?jobid=job_201307020007_0001 > Kill Command = /opt/mapr/hadoop/hadoop-0.20.2/bin/../bin/hadoop job > -Dmapred.job.tracker=maprfs:/// -kill job_201307020007_0001 > Hadoop job information for Stage-12: number of mappers: 23; number of > reducers: 10 > 2013-07-02 00:09:30,325 Stage-12 map = 0%, reduce = 0% > org.apache.hadoop.mapred.Counters$CountersExceededException: Error: Exceeded > limits on number of counters - Counters=120 Limit=120 > at > org.apache.hadoop.mapred.Counters$Group.getCounterForName(Counters.java:318) > at > org.apache.hadoop.mapred.Counters.findCounter(Counters.java:439) > at > org.apache.hadoop.mapred.Counters.getCounter(Counters.java:503) > at > org.apache.hadoop.hive.ql.exec.Operator.updateCounters(Operator.java:1150) > at > org.apache.hadoop.hive.ql.exec.ExecDriver.updateCounters(ExecDriver.java:1281) > at > org.apache.hadoop.hive.ql.exec.HadoopJobExecHelper.updateCounters(HadoopJobExecHelper.java:85) > at > org.apache.hadoop.hive.ql.exec.HadoopJobExecHelper.progress(HadoopJobExecHelper.java:312) > at > org.apache.hadoop.hive.ql.exec.HadoopJobExecHelper.progress(HadoopJobExecHelper.java:685) > at > org.apache.hadoop.hive.ql.exec.ExecDriver.execute(ExecDriver.java:494) > at > org.apache.hadoop.hive.ql.exec.MapRedTask.execute(MapRedTask.java:136) > at > org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:133) > at > org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:57) > at > org.apache.hadoop.hive.ql.exec.TaskRunner.run(TaskRunner.java:47) > Ended Job = job_201307020007_0001 with exception > 'org.apache.hadoop.mapred.Counters$CountersExceededException(Error: Exceeded > limits on number of counters - Counters=120 Limit=120)' > FAILED: Execution Error, return code 1 from > org.apache.hadoop.hive.ql.exec.MapRedTask > Command exiting with ret '255'
