I launched two m1.medium nodes on amazon ec2 for executing my pig script, but looks like it failed at the first line (even before MapReduce start): raw = LOAD 's3n://uw-cse-344-oregon.aws.amazon.com/btc-2010-chunk-000' USING TextLoader as (line:chararray);
The error message I got:
2015-02-04 02:15:39,804 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - 1 map-reduce job(s) waiting for submission.
2015-02-04 02:15:39,821 [JobControl] INFO org.apache.hadoop.mapred.JobClient - Default number of map tasks: null
2015-02-04 02:15:39,822 [JobControl] INFO org.apache.hadoop.mapred.JobClient - Setting default number of map tasks based on cluster size to : 20
... (omitted)
2015-02-04 02:18:40,955 [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.
2015-02-04 02:18:40,956 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - job job_201502040202_0002 has failed! Stop running all dependent jobs
2015-02-04 02:18:40,956 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - 100% complete
2015-02-04 02:18:40,997 [main] ERROR org.apache.pig.tools.pigstats.SimplePigStats - ERROR 2997: Unable to recreate exception from backed error: Error: Java heap space
2015-02-04 02:18:40,997 [main] ERROR org.apache.pig.tools.pigstats.PigStatsUtil - 1 map reduce job(s) failed!
2015-02-04 02:18:40,997 [main] INFO org.apache.pig.tools.pigstats.SimplePigStats - Script Statistics: HadoopVersion PigVersion UserId StartedAt FinishedAt Features 1.0.3 0.11.1.1-amzn hadoop 2015-02-04 02:15:32 2015-02-04 02:18:40 GROUP_BY
Failed!
Failed Jobs:
JobId Alias Feature Message Outputs
job_201502050202_0002 ngroup,raw,triples,tt GROUP_BY,COMBINER Message: Job failed! Error - # of failed Map Tasks exceeded allowed limit. FailedCount: 1. LastFailedTask: task_201502050202_0002_m_000022
Input(s):
Failed to read data from "s3n://uw-cse-344-oregon.aws.amazon.com/btc-2010-chunk-000"
Output(s):
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
I think the code should be fine since I have ever successfully loaded other data with the same syntax, and the link to s3n://uw-cse-344-oregon.aws.amazon.com/btc-2010-chunk-000 looks valid. I suspect it might be related to some of my EC2 settings, but not sure how to investigate further or narrow down the problem. Anyone has a clue?
"Java heap space" error message gives some clues. Your files seem to be quite large (~2GB). Make sure that you have enough memory for each task runner to read the data.
The problem was currently solved by changing my node from m1.medium to m3.large , thanks for the good hint from #Nat as he pointed out the error message regarding with java heap space. I'll update more details later.
Related
I am running my hive query on EMR cluster that which is 25 nodes cluster and i have used r4.4xlarge in stances to run this .
When i run my query i get below error .
Job Commit failed with exception 'org.apache.hadoop.hive.ql.metadata.HiveException(java.io.IOException: com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.services.s3.model.AmazonS3Exception: Not Found (Service: Amazon S3; Status Code: 404; Error Code: 404 Not Found; Request ID: FEAF40B78D086BEE; S3 Extended Request ID: yteHc4bRl1MrmVhqmnzm06rdzQNN8VcRwd4zqOa+rUY8m2HC2QTt9GoGR/Qu1wuJPILx4mchHRU=), S3 Extended Request ID: yteHc4bRl1MrmVhqmnzm06rdzQNN8VcRwd4zqOa+rUY8m2HC2QTt9GoGR/Qu1wuJPILx4mchHRU=)'
FAILED: Execution Error, return code 3 from org.apache.hadoop.hive.ql.exec.tez.TezTask
/mnt/var/lib/hadoop/steps/s-10YQZ5Z5PRUVJ/./hive-script:617:in `<main>': Error executing cmd: /usr/share/aws/emr/scripts/hive-script "--base-path" "s3://us-east-1.elasticmapreduce/libs/hive/" "--hive-versions" "latest" "--run-hive-script" "--args" "-f" "s3://205067-pcfp-app-stepfun-s3appbucket-qa/2019-02-22_App/d77a6a82-26f4-4f06-a1ea-e83677256a55/01/DeltaOutPut/processing/Scripts/script.sql" (RuntimeError)
Command exiting with ret '1'
I have tried settings all king of HIVE parameter combinations like below
emrfs-site fs.s3.consistent.retryPolicyType exponential
emrfs-site fs.s3.consistent.metadata.tableName EmrFSMetadataAlt
emrfs-site fs.s3.consistent.metadata.write.capacity 300
emrfs-site fs.s3.consistent.metadata.read.capacity 600
emrfs-site fs.s3.consistent true
hive-site hive.exec.stagingdir .hive-staging
hive-site hive.tez.java.opts -Xmx47364m
hive-site hive.stats.fetch.column.stats true
hive-site hive.stats.fetch.partition.stats true
hive-site hive.vectorized.execution.enabled false
hive-site hive.vectorized.execution.reduce.enabled false
hive-site tez.am.resource.memory.mb 15000
hive-site hive.auto.convert.join false
hive-site hive.compute.query.using.stats true
hive-site hive.cbo.enable true
hive-site tez.task.resource.memory.mb 16000
But every time it failed .
I tried increasing the no of nodes/bigger instances in the EMR cluster but result is still same .
I also tried with and without Tez but still did not worked for me .
Here is my sample query .I am just copying the part of my query
insert into filediffPcfp.TableDelta
Select rgt.FILLER1,rgt.DUNSNUMBER,rgt.BUSINESSNAME,rgt.TRADESTYLENAME,rgt.REGISTEREDADDRESSINDICATOR
Please help me identify the issue .
Adding full yarn logs
2019-02-26 06:28:54,318 [INFO] [TezChild] |exec.FileSinkOperator|: Final Path: FS s3://205067-pcfp-app-stepfun-s3appbucket-qa/2019-02-26_App/d996dfaa-1a62-4062-9350-d0c2bd62e867/01/DeltaOutPut/processing/Delta/.hive-staging_hive_2019-02-26_06-15-00_804_541842212852799084-1/_tmp.-ext-10000/000000_1
2019-02-26 06:28:54,319 [INFO] [TezChild] |exec.FileSinkOperator|: Writing to temp file: FS s3://205067-pcfp-app-stepfun-s3appbucket-qa/2019-02-26_App/d996dfaa-1a62-4062-9350-d0c2bd62e867/01/DeltaOutPut/processing/Delta/.hive-staging_hive_2019-02-26_06-15-00_804_541842212852799084-1/_task_tmp.-ext-10000/_tmp.000000_1
2019-02-26 06:28:54,319 [INFO] [TezChild] |exec.FileSinkOperator|: New Final Path: FS s3://205067-pcfp-app-stepfun-s3appbucket-qa/2019-02-26_App/d996dfaa-1a62-4062-9350-d0c2bd62e867/01/DeltaOutPut/processing/Delta/.hive-staging_hive_2019-02-26_06-15-00_804_541842212852799084-1/_tmp.-ext-10000/000000_1
2019-02-26 06:28:54,681 [INFO] [TezChild] |exec.FileSinkOperator|: FS[11]: records written - 1
2019-02-26 06:28:54,877 [INFO] [TezChild] |exec.MapOperator|: MAP[0]: records read - 1000
2019-02-26 06:28:56,632 [INFO] [TezChild] |exec.MapOperator|: MAP[0]: records read - 10000
2019-02-26 06:29:13,301 [INFO] [TezChild] |exec.MapOperator|: MAP[0]: records read - 100000
2019-02-26 06:31:59,207 [INFO] [TezChild] |exec.MapOperator|: MAP[0]: records read - 1000000
2019-02-26 06:34:42,686 [INFO] [TaskHeartbeatThread] |task.TaskReporter|: Received should die response from AM
2019-02-26 06:34:42,686 [INFO] [TaskHeartbeatThread] |task.TaskReporter|: Asked to die via task heartbeat
2019-02-26 06:34:42,687 [INFO] [TaskHeartbeatThread] |task.TezTaskRunner2|: Attempting to abort attempt_1551161362408_0001_7_01_000000_1 due to an invocation of shutdownRequested
2019-02-26 06:34:42,687 [INFO] [TaskHeartbeatThread] |tez.TezProcessor|: Received abort
2019-02-26 06:34:42,687 [INFO] [TaskHeartbeatThread] |tez.TezProcessor|: Forwarding abort to RecordProcessor
2019-02-26 06:34:42,687 [INFO] [TaskHeartbeatThread] |tez.MapRecordProcessor|: Forwarding abort to mapOp: {} MAP
2019-02-26 06:34:42,687 [INFO] [TaskHeartbeatThread] |exec.MapOperator|: Received abort in operator: MAP
2019-02-26 06:34:42,705 [INFO] [TezChild] |s3.S3FSInputStream|: Encountered exception while reading '2019-02-26_App/d996dfaa-1a62-4062-9350-d0c2bd62e867/01/IncrFile/WB.ACTIVE.OCT17_01_OF_10.gz', will retry by attempting to reopen stream.
com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.AbortedException:
at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.internal.SdkFilterInputStream.abortIfNeeded(SdkFilterInputStream.java:53)
at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.internal.SdkFilterInputStream.read(SdkFilterInputStream.java:81)
at com.amazon.ws.emr.hadoop.fs.s3n.InputStreamWithInfo.read(InputStreamWithInfo.java:173)
at com.amazon.ws.emr.hadoop.fs.s3.S3FSInputStream.read(S3FSInputStream.java:136)
at java.io.BufferedInputStream.read1(BufferedInputStream.java:284)
at java.io.BufferedInputStream.read(BufferedInputStream.java:345)
at java.io.DataInputStream.read(DataInputStream.java:149)
at org.apache.hadoop.io.compress.DecompressorStream.getCompressedData(DecompressorStream.java:179)
at org.apache.hadoop.io.compress.DecompressorStream.decompress(DecompressorStream.java:163)
at org.apache.hadoop.io.compress.DecompressorStream.read(DecompressorStream.java:105)
at java.io.InputStream.read(InputStream.java:101)
at org.apache.hadoop.util.LineReader.fillBuffer(LineReader.java:182)
at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:218)
at org.apache.hadoop.util.LineReader.readLine(LineReader.java:176)
at org.apache.hadoop.mapred.LineRecordReader.next(LineRecordReader.java:255)
at org.apache.hadoop.mapred.LineRecordReader.next(LineRecordReader.java:48)
at org.apache.hadoop.hive.ql.io.HiveContextAwareRecordReader.doNext(HiveContextAwareRecordReader.java:360)
at org.apache.hadoop.hive.ql.io.HiveRecordReader.doNext(HiveRecordReader.java:79)
at org.apache.hadoop.hive.ql.io.HiveRecordReader.doNext(HiveRecordReader.java:33)
at org.apache.hadoop.hive.ql.io.HiveContextAwareRecordReader.next(HiveContextAwareRecordReader.java:116)
at org.apache.hadoop.mapred.split.TezGroupedSplitsInputFormat$TezGroupedSplitsRecordReader.next(TezGroupedSplitsInputFormat.java:151)
at org.apache.tez.mapreduce.lib.MRReaderMapred.next(MRReaderMapred.java:116)
at org.apache.hadoop.hive.ql.exec.tez.MapRecordSource.pushRecord(MapRecordSource.java:62)
Switch from Tez mode to MR. It should start working. Also remove all the tez related properties.
set hive.execution.engine=spark;
Let me answer my own question .
First thing very important that we have noticed while running HIVE jobs on EMR is that STEP error is misleading vertex failed will not point you in the correct direction .
So better to check for hive logs.
Now if our instance is terminated, then we can not log into master instance and see the logs , in that case we have to look for nodes application logs .
Here is how we can find that nodes logs .
Get the master instance id something like this (i-04d04d9a8f7d28fd1) and with that search for in nodes .
Then open below path
/applications/hive/user/hive/hive.log.gz
Here you can find the expected error .
Also we have to look for the containers logs for the failed nodes ,failed nodes details can be found in master instance node.
hadooplogs/j-25RSD7FFOL5JB/node/i-03f8a646a7ae97aae/daemons/
This daemons nodes logs can be found only if cluster is running else after terminating the cluster EMR does not pushes the logs into S3 log uri .
When i looked at it i got the real reason why it was failing .
For me this was the reason of failure
On checking the master instance's instance-controller logs, i saw there were multiple core instances went into un-healthy state :
2019-02-27 07:50:03,905 INFO Poller: InstanceJointStatusMap contains 21 entries (R:21):
i-0131b7a6abd0fb8e7 1541s R 1500s ig-28 ip-10-97-51-145.tr-fr-nonprod.aws-int.thomsonreuters.com I: 18s Y:U 81s c: 0 am: 0 H:R 0.6%Yarn unhealthy Reason : 1/1 local-dirs are bad: /mnt/yarn; 1/1 log-dirs are bad: /var/log/hadoop-yarn/containers
i-01672279d170dafd3 1539s R 1500s ig-28 ip-10-97-54-69.tr-fr-nonprod.aws-int.thomsonreuters.com I: 16s Y:R 79s c: 0 am:241664 H:R 0.7%
i-0227ac0f0932bd0b3 1539s R 1500s ig-28 ip-10-97-51-197.tr-fr-nonprod.aws-int.thomsonreuters.com I: 16s Y:R 79s c: 0 am:241664 H:R 4.1%
i-02355f335c190be40 1544s R 1500s ig-28 ip-10-97-52-150.tr-fr-nonprod.aws-int.thomsonreuters.com I: 22s Y:R 84s c: 0 am:241664 H:R 0.2%
i-024ed22b6affdd5ec 1540s R 1500s ig-28 ip-10-97-55-123.tr-fr-nonprod.aws-int.thomsonreuters.com I: 16s Y:U 79s c: 0 am: 0 H:R 0.6%Yarn unhealthy Reason : 1/1 local-dirs are bad: /mnt/yarn; 1/1 log-dirs are bad: /var/log/hadoop-yarn/containers
Also after some time yarn Blacklisted the Core instances:
2019-02-27 07:46:39,676 INFO Poller: Determining health status for App Monitor: aws157.instancecontroller.apphealth.monitor.YarnMonitor
2019-02-27 07:46:39,688 INFO Poller: SlaveRecord i-0ac26bd7886fec338 changed state from RUNNING to BLACKLISTED
2019-02-27 07:47:13,695 INFO Poller: SlaveRecord i-0131b7a6abd0fb8e7 changed state from RUNNING to BLACKLISTED
2019-02-27 07:47:13,695 INFO Poller: Update SlaveRecordDbRow for i-0131b7a6abd0fb8e7 ip-10-97-51-145.tr-fr-nonprod.aws-int.thomsonreuters.com
2019-02-27 07:47:13,696 INFO Poller: SlaveRecord i-024ed22b6affdd5ec changed state from RUNNING to BLACKLISTED
2019-02-27 07:47:13,696 INFO Poller: Update SlaveRecordDbRow for i-024ed22b6affdd5ec ip-10-97-55-123.tr-fr-nonprod.aws-int.thomsonreuters.com
On checking the instance nodes instance-controller logs, I can see the /mnt got full due to job caching and usage went beyond threshold i.e 90% by default.
Because of this yarn :
2019-02-27 07:40:52,231 INFO dsm-1: /mnt total 27633 MB free 2068 MB used 25565 MB
2019-02-27 07:40:52,231 INFO dsm-1: / total 100663 MB free 97932 MB used 2731 MB
2019-02-27 07:40:52,231 INFO dsm-1: cycle 17 /mnt/var/log freeSpaceMb: 2068/27633 MB freeRatio:0.07
2019-02-27 07:40:52,248 INFO dsm-1: /mnt/var/log stats :
-> As in my dataset, source table is having .gz compression. As .gz compressed files are non-splitable due to this 1 file is having 1 map task assigned to it. And as the map task will decompress the file in /mnt, it may also lead to that issue.
-> Processing a large amount of data in EMR needs some hive properties to be optimized. Below are the few optimization property can be set in the cluster to make the query run in a better way.
V.V.V.V.V.I
Increase the EBS volume size for Core instances
Important is that we have to increase the EBS voulume for each core not alone for the master because EBS volume is where /mnt gets mounted not on the route .
This alone has solved my problem but below configuration also helped me optimize the HIVE jobs
hive-site.xml
-------------
"hive.exec.compress.intermediate" : "true",
"hive.intermediate.compression.codec" : "org.apache.hadoop.io.compress.SnappyCodec",
"hive.intermediate.compression.type" : "BLOCK"
yarn-site.xml
-------------
"max-disk-utilization-per-disk-percentage" : "99"
And this has resolved my issue permanently .
Hope some one will get benefited with my answer
Command run (trying to get Maximum run scored)
Run_M = foreach Run_Group_All generate (Match.Player, Match.Run) , MAX(Match.Run);
As per log Group command is failing , can anybody help where is problem?
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
Replace '(Match.Player, Match.Run)' with 'group'.
Run_M = foreach Run_Group_All generate FLATTEN(group) as (player,run) , MAX(Match.Run);
I'm trying to load apache log, split into fields and save it into hcatalog.
apache_log = LOAD 'httpd-www01-access.log.2014-02-09-*' USING TextLoader AS (line:chararray);
apache_row = FOREACH apache_log GENERATE FLATTEN (
REGEX_EXTRACT_ALL
(line,'^"(\\S+)" \\[(\\d{2}\\/\\w+\\/\\d{4}:\\d{2}:\\d{2}:\\d{2} \\+\\d{4}]) (\\S+) (\\S+) "(.+?)" (\\S+) (\\S+) "([^"]*)" "([^"]*)" "([^"]*)"'))
AS (ip: chararray, datetime: chararray, session_id: chararray, time_of_request:chararray, request: chararray, status: chararray, size: chararray, referer : chararray, cookie: chararray, user_agent: chararray);
If i do:
a = sample apache_row 0.001;
dump a
it works.
but
store apache_row into 'stage.apache_log' using org.apache.hcatalog.pig.HCatStorer();
doesn't.
Error:
2014-02-17 08:17:13,812 [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.
2014-02-17 08:17:13,812 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - job job_201402120751_0117 has failed! Stop running all dependent jobs
2014-02-17 08:17:13,812 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - 100% complete
2014-02-17 08:17:13,814 [main] ERROR org.apache.pig.tools.pigstats.PigStatsUtil - 1 map reduce job(s) failed!
2014-02-17 08:17:13,815 [main] INFO org.apache.pig.tools.pigstats.SimplePigStats - Script Statistics:
HadoopVersion PigVersion UserId StartedAt FinishedAt Features
1.2.0.1.3.2.0-111 0.11.1.1.3.2.0-111 pig 2014-02-17 08:16:24 2014-02-17 08:17:13 UNKNOWN
Failed!
Failed Jobs:
JobId Alias Feature Message Outputs
job_201402120751_0117 apache_log,apache_row MAP_ONLY Message: Job failed! Error - # of failed Map Tasks exceeded allowed limit. FailedCount: 1. LastFailedTask: task_201402120751_0117_m_000000 stage.atg_apache_log,
Input(s):
Failed to read data from "hdfs://hadoop1:8020/user/pig/httpd-www01-access.log.2014-02-09-*"
Output(s):
Failed to produce result in "stage.apache_log"
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_201402120751_0117
Where can I fing any details of the problem?
There is an an information that more details I can find under:
hadoop1:50030/jobdetails.jsp?jobid=job_201402120751_0117
But when job is finished it doesn't work...
Regards
Pawel
A pig script (not particularly more complex than any others I have built) before the job starts it seems to loop on this for a long time:
2013-10-08 10:46:07,655 [main] INFO org.apache.hadoop.mapreduce.lib.input.FileInputFormat - Total input paths to process : 10
2013-10-08 10:46:07,659 [main] INFO org.apache.pig.backend.hadoop.executionengine.util.MapRedUtil - Total input paths to process : 10
2013-10-08 10:46:09,168 [main] INFO org.apache.hadoop.mapreduce.lib.input.FileInputFormat - Total input paths to process : 10
2013-10-08 10:46:09,168 [main] INFO org.apache.pig.backend.hadoop.executionengine.util.MapRedUtil - Total input paths to process : 10
2013-10-08 10:46:11,381 [main] INFO org.apache.hadoop.mapreduce.lib.input.FileInputFormat - Total input paths to process : 10
2013-10-08 10:46:11,381 [main] INFO org.apache.pig.backend.hadoop.executionengine.util.MapRedUtil - Total input paths to process : 10
2013-10-08 10:46:13,875 [main] INFO org.apache.hadoop.mapreduce.lib.input.FileInputFormat - Total input paths to process : 10
2013-10-08 10:46:13,875 [main] INFO org.apache.pig.backend.hadoop.executionengine.util.MapRedUtil - Total input paths to process : 10
2013-10-08 10:46:16,303 [main] INFO org.apache.hadoop.mapreduce.lib.input.FileInputFormat - Total input paths to process : 10
It repeats the above for around 4 minutes when usually this step is completed in seconds. I have not been able to identify the cause - other than removing parts of the script but the issue does not seem to be caused by any particular part of the script. I have other scripts as complex as this one and I have not had this problem. What could be causing the issue?
I can't say for certain without more information, but it appears that pig is waiting for your cluster's JobTracker to start running the underlying Map/Reduce jobs generated by your script. There are numerious reasons why this could be happening such as running on a shared cluster which has run out of resources. You'll most likely have to look at your cluster's JobTracker and/or TaskTrackers to know the exact reason.
I am trying to analyze an apache log and the goal is the find out all user agents and their percentage in usage. The following program works fine to the line when result contains each useragent, count and percentage. The program fails at last line when tries to order according to most used. Could someone help?
logs = LOAD '$LOGS' USING ApacheCombinedLogLoader AS (remoteHost, hyphen, user, time, method, uri, protocol, statusCode, responseSize, referer, userAgent);
uarows = FOREACH logs GENERATE userAgent;
total = FOREACH (GROUP uarows ALL) GENERATE COUNT(uarows) as count;
dump total;
gpuarows = GROUP uarows BY userAgent;
result = FOREACH gpuarows {
subtotal = COUNT(uarows);
GENERATE flatten(group) as ua, subtotal AS SUB_TOTAL, 100*(double)subtotal/(double)total.count AS percentage;
};
orderresult = ORDER result BY SUB_TOTAL DESC;
dump orderresult;
what's weird is that 'dump result' works just fine, so it's the ORDER line makes trouble
errors:
013-04-13 11:33:09,976 [Thread-48] INFO org.apache.hadoop.mapred.MapTask - data buffer = 79691776/99614720
2013-04-13 11:33:09,976 [Thread-48] INFO org.apache.hadoop.mapred.MapTask - record buffer = 262144/327680
2013-04-13 11:33:09,995 [Thread-48] WARN org.apache.hadoop.mapred.LocalJobRunner - job_local_0005
java.lang.RuntimeException: org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: file:/home/dliu/ApacheLogAnalysisWithPig/pigsample_1573648613_1365823989735
at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.partitioners.WeightedRangePartitioner.setConf(WeightedRangePartitioner.java:157)
at org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:62)
at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:117)
at org.apache.hadoop.mapred.MapTask$NewOutputCollector.<init>(MapTask.java:677)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:756)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:370)
at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:212)
Caused by: org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: file:/home/dliu/ApacheLogAnalysisWithPig/pigsample_1573648613_1365823989735
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:235)
at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigFileInputFormat.listStatus(PigFileInputFormat.java:37)
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.getSplits(FileInputFormat.java:252)
at org.apache.pig.impl.io.ReadToEndLoader.init(ReadToEndLoader.java:177)
at org.apache.pig.impl.io.ReadToEndLoader.<init>(ReadToEndLoader.java:124)
at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.partitioners.WeightedRangePartitioner.setConf(WeightedRangePartitioner.java:131)
... 6 more
2013-04-13 11:33:10,276 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - HadoopJobId: job_local_0005
2013-04-13 11:33:10,276 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - Processing aliases orderresult
2013-04-13 11:33:10,276 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - detailed locations: M: orderresult[16,14] C: R:
2013-04-13 11:33:15,286 [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.
2013-04-13 11:33:15,286 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - job job_local_0005 has failed! Stop running all dependent jobs
2013-04-13 11:33:15,287 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - 100% complete
2013-04-13 11:33:15,287 [main] ERROR org.apache.pig.tools.pigstats.PigStatsUtil - 1 map reduce job(s) failed!
2013-04-13 11:33:15,288 [main] INFO org.apache.pig.tools.pigstats.SimplePigStats - Script Statistics:
HadoopVersion PigVersion UserId StartedAt FinishedAt Features
1.0.4 0.11.0 dliu 2013-04-13 11:32:27 2013-04-13 11:33:15 GROUP_BY,ORDER_BY
Some jobs have failed! Stop running all dependent jobs
Job Stats (time in seconds):
JobId Maps Reduces MaxMapTime MinMapTIme AvgMapTime MedianMapTime MaxReduceTime MinReduceTime AvgReduceTime MedianReducetime Alias Feature Outputs
job_local_0002 1 1 n/a n/a n/a n/a n/a n/a 1-18,logs,total,uarows MULTI_QUERY,COMBINER
job_local_0003 1 1 n/a n/a n/a n/a n/a n/a gpuarows,result GROUP_BY,COMBINER
job_local_0004 1 1 n/a n/a n/a n/a n/a n/a orderresult SAMPLER
Failed Jobs:
JobId Alias Feature Message Outputs
job_local_0005 orderresult ORDER_BY Message: Job failed! Error - NA file:/tmp/temp265162785/tmp896004388,
Input(s):
Successfully read 0 records from: "file:///home/dliu/ApacheLogAnalysisWithPig/access.log"
Output(s):
Failed to produce result in "file:/tmp/temp265162785/tmp896004388"
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_local_0002 -> job_local_0003,
job_local_0003 -> job_local_0004,
job_local_0004 -> job_local_0005,
job_local_0005
2013-04-13 11:33:15,291 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - Some jobs have failed! Stop running all dependent jobs
2013-04-13 11:33:15,297 [main] ERROR org.apache.pig.tools.grunt.Grunt - ERROR 1066: Unable to open iterator for alias orderresult
Details at logfile: /home/dliu/ApacheLogAnalysisWithPig/pig_1365823931459.log
Make sure two things:
1) Run pig in local mode: pig -x local
2) Set either PIG_HOME or PIG_INSTALL environment variable to point to pig installation directory
Please check that you don't have already file /tmp/temp265162785/tmp896004388
You can use the same file\directory for different tasks.