erreur 1066: Impossible d'ouvrir iteratorfor alias

Question

run

de commande (en essayant d'obtenir l'exécution maximum marqué)

Run_M = foreach Run_Group_All generate (Match.Player, Match.Run) , MAX(Match.Run); 

Comme par commande groupe journal est un échec, quelqu'un peut-il aider à où le problème se?

java.lang.Exception: org.apache.pig.backend.executionengine.ExecException: ERROR 2103: Problem doing work on Longs 
    at org.apache.hadoop.mapred.LocalJobRunner$Job.runTasks(LocalJobRunner.java:489) 
    at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:556) 
Caused by: org.apache.pig.backend.executionengine.ExecException: ERROR 2103: Problem doing work on Longs 
    at org.apache.pig.builtin.AlgebraicLongMathBase.doTupleWork(AlgebraicLongMathBase.java:84) 
    at org.apache.pig.builtin.AlgebraicLongMathBase.exec(AlgebraicLongMathBase.java:93) 
    at org.apache.pig.builtin.AlgebraicLongMathBase.exec(AlgebraicLongMathBase.java:37) 
    at org.apache.pig.backend.hadoop.executionengine.physicalLayer.expressionOperators.POUserFunc.getNext(POUserFunc.java:326) 
    at org.apache.pig.backend.hadoop.executionengine.physicalLayer.expressionOperators.POUserFunc.getNextLong(POUserFunc.java:410) 
    at org.apache.pig.backend.hadoop.executionengine.physicalLayer.PhysicalOperator.getNext(PhysicalOperator.java:351) 
    at org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POForEach.processPlan(POForEach.java:400) 
    at org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POForEach.getNextTuple(POForEach.java:317) 
    at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Reduce.runPipeline(PigGenericMapReduce.java:474) 
    at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Reduce.processOnePackageOutput(PigGenericMapReduce.java:442) 
    at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Reduce.reduce(PigGenericMapReduce.java:422) 
    at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Reduce.reduce(PigGenericMapReduce.java:269) 
    at org.apache.hadoop.mapreduce.Reducer.run(Reducer.java:171) 
    at org.apache.hadoop.mapred.ReduceTask.runNewReducer(ReduceTask.java:627) 
    at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:389) 
    at org.apache.hadoop.mapred.LocalJobRunner$Job$ReduceTaskRunnable.run(LocalJobRunner.java:346) 
    at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) 
    at java.util.concurrent.FutureTask.run(FutureTask.java:266) 
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) 
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) 
    at java.lang.Thread.run(Thread.java:748) 
Caused by: java.lang.ClassCastException: org.apache.pig.data.DataByteArray cannot be cast to java.lang.Number 
    at org.apache.pig.builtin.AlgebraicLongMathBase.doTupleWork(AlgebraicLongMathBase.java:77) 
    ... 20 more 
2017-09-03 07:48:03,212 [main] WARN org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - Ooops! Some job has failed! Specify -stop_on_failure if you want Pig to stop immediately on failure. 
2017-09-03 07:48:03,212 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - job job_local1294624349_0011 has failed! Stop running all dependent jobs 
2017-09-03 07:48:03,212 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - 100% complete 
2017-09-03 07:48:03,213 [main] INFO org.apache.hadoop.metrics.jvm.JvmMetrics - Cannot initialize JVM Metrics with processName=JobTracker, sessionId= - already initialized 
2017-09-03 07:48:03,214 [main] INFO org.apache.hadoop.metrics.jvm.JvmMetrics - Cannot initialize JVM Metrics with processName=JobTracker, sessionId= - already initialized 
2017-09-03 07:48:03,214 [main] ERROR org.apache.pig.tools.pigstats.mapreduce.MRPigStatsUtil - 1 map reduce job(s) failed! 
2017-09-03 07:48:03,215 [main] INFO org.apache.pig.tools.pigstats.mapreduce.SimplePigStats - Script Statistics: 

HadoopVersion PigVersion UserId StartedAt FinishedAt Features 
2.8.1 0.15.0 goldi 2017-09-03 07:48:01 2017-09-03 07:48:03 GROUP_BY 

Failed! 

Failed Jobs: 
JobId Alias Feature Message Outputs 
job_local1294624349_0011 Cric,Match,Run_Group_All,Run_M GROUP_BY Message: Job failed! file:/tmp/temp-1949037811/tmp1601097545, 

Input(s): 
Failed to read data from "/home/goldi/Batting.csv" 

Output(s): 
Failed to produce result in "file:/tmp/temp-1949037811/tmp1601097545" 

Counters: 
Total records written : 0 
Total bytes written : 0 
Spillable Memory Manager spill count : 0 
Total bags proactively spilled: 0 
Total records proactively spilled: 0 

Job DAG: 
job_local1294624349_0011 


2017-09-03 07:48:03,217 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - Failed! 
2017-09-03 07:48:03,218 [main] ERROR org.apache.pig.tools.grunt.Grunt - ERROR 1066: Unable to open iterator for alias Run_M 
Details at logfile: /home/goldi/pig_1504365116860.log 

Answer 1

Remplacer '(Match.Player, Match.Run)' avec 'groupe'.

Run_M = foreach Run_Group_All generate FLATTEN(group) as (player,run) , MAX(Match.Run);