I am trying to run a random job, but when it get 4 jobs failed, it fails the job:
Job failed as tasks failed. failedMaps:1 failedReduces:0
I tried a lot of times but every 4 fails my job fails, all tasks get killed.
Any option to change this number of fails allowed?
The issue is when the SAME map fails 4 time.
You can use these parameters to change the failure threshold in mapred-site.xml file:
mapreduce.map.maxattempts
mapreduce.reduce.maxattempts
It is also possible to ignore failed tasks, these paramteres say that the threshold of failed tasks:
mapreduce.map.failures.maxpercent
mapreduce.map.failures.maxpercent
Related
I am running a map-reduce job triggered by YARN's REST API. The yarn app starts, triggers another map-reduce job. But the actual yarn app timeout exactly around 12 mins.
This is the final log where it ends:
2016-09-01 13:22:53 DEBUG ProtobufRpcEngine:221 - Call: getJobReport took 0ms
2016-09-01 13:22:54 DEBUG Client:97 - stopping client from cache: org.apache.hadoop.ipc.Client#6bbe2511
There are literally no errors or exceptions. I don't know which setting in Hadoop is causing this.
The Diagnostics says Application *application_whatever* failed 1 times due to ApplicationMaster for attempt *appattempt_application_whatever* timed out. Failing the application.
Hi,
I am trying to schedule a falcon process using falcon CLI and falcon service user on a Kerberised cluster. I am getting the following error message:
ERROR: Bad Request;default/org.apache.falcon.FalconWebException::org.apache.falcon.FalconException: Entity schedule failed for process: testHiveProc
Falcon app logs shows following:
used by: org.apache.falcon.FalconException: E0501 : E0501: Could not perform authorization operation, Failed on local exception: java.io.IOException: Couldn't set up IO streams; Host Details :
Any suggestions?
Thanks.
Root cause:
Oozie was running out of processes due to more number of scheduled jobs.
Short term solution:
Restart Oozie server
Long term solution:
- Increase ulimit
- Limit the number of scheduled jobs in Oozie
I have a Pig script running on a production cluster weekly.
In the last run I got the following error
org.apache.pig.backend.executionengine.ExecException: ERROR 6017: Job failed! Error - Job initialization failed:
java.io.IOException: The number of tasks for this job 100325 exceeds the configured limit 100000
at org.apache.hadoop.mapred.JobInProgress.initTasks(JobInProgress.java:719)
at org.apache.hadoop.mapred.JobTracker.initJob(JobTracker.java:4041)
I tried to set the mapred.jobtracker.maxtasks.per.job to 100000 in the Pig Properties but with no luck.
Any idea on how to limit my job to create less than 100000 mappers?
Thanks
Try fiddling around with the split size system properties, by setting mapred.min.split.size to something quite large you should end up with less mappers. Now if you have 100325 files you'll need to use CombineFileInputFormat.
I am working on 8 node Hadoop cluster, and I am trying to execute a simple streaming Job with the specified configuration.
hadoop jar /usr/lib/hadoop-0.20/contrib/streaming/hadoop-streaming-0.20.2-cdh3u0.jar \-D mapred.map.max.tacker.failures=10 \-D mared.map.max.attempts=8 \-D mapred.skip.attempts.to.start.skipping=8 \-D mapred.skip.map.max.skip.records=8 \-D mapred.skip.mode.enabled=true \-D mapred.max.map.failures.percent=5 \-input /user/hdfs/ABC/ \-output "/user/hdfs/output1/" \-mapper "perl -e 'while (<>) { chomp; print; }; exit;" \-reducer "perl -e 'while (<>) { ~s/LR\>/LR\>\n/g; print ; }; exit;"
I am using cloudera's distribution for hadoop CDH3u0 with hadoop 0.20.2. The problem in execution of this job is that the job is getting failed everytime. The job is giving the error:
java.lang.Throwable: Child Error
at org.apache.hadoop.mapred.TaskRunner.run(TaskRunner.java:242)
Caused by: java.io.IOException: Task process exit with nonzero status of 1.
at org.apache.hadoop.mapred.TaskRunner.run(TaskRunner.java:229)
-------
java.lang.Throwable: Child Error
at org.apache.hadoop.mapred.TaskRunner.run(TaskRunner.java:242)
Caused by: java.io.IOException: Task process exit with nonzero status of 1.
at org.apache.hadoop.mapred.TaskRunner.run(TaskRunner.java:229)
STDERR on the datanodes:
Exception in thread "main" java.io.IOException: Exception reading file:/mnt/hdfs/06/local/taskTracker/hdfs/jobcache/job_201107141446_0001/jobToken
at org.apache.hadoop.security.Credentials.readTokenStorageFile(Credentials.java:146)
at org.apache.hadoop.mapreduce.security.TokenCache.loadTokens(TokenCache.java:159)
at org.apache.hadoop.mapred.Child.main(Child.java:107)
Caused by: java.io.FileNotFoundException: File file:/mnt/hdfs/06/local/taskTracker/hdfs/jobcache/job_201107141446_0001/jobToken does not exist.
For the cause of the error I have checked the following things and still it is crashing for which I am unable to understand the reason.
1. All the temp directories are in place
2. Memory is way more than it might be required for job (running a small job)
3. Permissions verified.
4. Nothing Fancier done in the configuration just usual stuff.
The most weird thing is that job runs successfully sometime and fails most of the time. Any guidance/Help regarding the issues would be really helpful. I am working on this error from last 4 days and I am not able to figure out anything. Please Help!!!
Thanks & Regards,
Atul
I have faced the same problem, it happens if task tracker is not able to allocates specified memory to the child JVM for the task.
Try executing same job again when cluster is not busy running many other jobs along with this one, it will go through or have speculative execution to true, in that case hadoop will execute the same task in another task tracker.
When I run a mapreduce program using Hadoop, I get the following error.
10/01/18 10:52:48 INFO mapred.JobClient: Task Id : attempt_201001181020_0002_m_000014_0, Status : FAILED
java.io.IOException: Task process exit with nonzero status of 1.
at org.apache.hadoop.mapred.TaskRunner.run(TaskRunner.java:418)
10/01/18 10:52:48 WARN mapred.JobClient: Error reading task outputhttp://ubuntu.ubuntu-domain:50060/tasklog?plaintext=true&taskid=attempt_201001181020_0002_m_000014_0&filter=stdout
10/01/18 10:52:48 WARN mapred.JobClient: Error reading task outputhttp://ubuntu.ubuntu-domain:50060/tasklog?plaintext=true&taskid=attempt_201001181020_0002_m_000014_0&filter=stderr
What is this error about?
One reason Hadoop produces this error is when the directory containing the log files becomes too full. This is a limit of the Ext3 Filesystem which only allows a maximum of 32000 links per inode.
Check how full your logs directory is in hadoop/userlogs
A simple test for this problem is to just try and create a directory from the command-line for example: $ mkdir hadoop/userlogs/testdir
If you have too many directories in userlogs the OS should fail to create the directory and report there are too many.
I was having the same issue when I run out of space on disk with log directory.
Another cause can be, JVM Error when you try to allocate some dedicated space to JVM and it is not present on your machine.
sample code:
conf.set("mapred.child.java.opts", "-Xmx4096m");
Error message:
Error occurred during initialization of VM
Could not reserve enough space for object heap
Solution: Replace -Xmx with dedicated memory value that you can provide to JVM on your machine(e.g. "-Xmx1024m")
Increase your ulimit to unlimited. or alternate solution reduce the allocated memory.
If you create a runnable jar file in eclipse, it gives that error on hadoop system. You should extract runnable part. That solved my problem.