Hi,   You also need to check on below configuration (If any).   1. Dynamic Resource Pool Configuration > Resource Pools - Check if jobs are exceeding any max values respective of the queue it's being submitted.   2. Dynamic Resource Pool Configuration > User Limits - Check if the maximum number of applications a user can submit simultaneously is crossing the default value (5) or the specified value. ... View more

vmem checks have been disabled in CDH almost since their introduction. The vmem check is not stable and highly dependent on Linux version and distro. If you run CDH you are already running with it disabled. Wilfred ... View more

When the  first attempt fails, it tries to run again the app. So the status changes from "running" to "accepted". If you check the RM webUI you could see several attempts were run. ... View more

Hi Guys, I am facing similar issue. I have a new installation of Cloudera and i am trying to run a simple Map reduce Pi Example and also a spark Job. Map Reduce job gets stuck at the map 0% and reduce 0% step as shown below and Spark job is waiting spends lot of time in ACCEPTED state. I checked the user limit and it is blank for me.   test@spark-1 ~]$ sudo -u hdfs hadoop jar /data/cloudera/parcels/CDH/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar pi 10 100 Number of Maps = 10 Samples per Map = 100 Wrote input for Map #0 Wrote input for Map #1 Wrote input for Map #2 Wrote input for Map #3 Wrote input for Map #4 Wrote input for Map #5 Wrote input for Map #6 Wrote input for Map #7 Wrote input for Map #8 Wrote input for Map #9 Starting Job 18/10/16 12:33:25 INFO input.FileInputFormat: Total input paths to process : 10 18/10/16 12:33:26 INFO mapreduce.JobSubmitter: number of splits:10 18/10/16 12:33:26 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1539705370715_0002 18/10/16 12:33:26 INFO impl.YarnClientImpl: Submitted application application_1539705370715_0002 18/10/16 12:33:26 INFO mapreduce.Job: The url to track the job: http://spark-4:8088/proxy/application_1539705370715_0002/ 18/10/16 12:33:26 INFO mapreduce.Job: Running job: job_1539705370715_0002 18/10/16 12:33:31 INFO mapreduce.Job: Job job_1539705370715_0002 running in uber mode : false 18/10/16 12:33:31 INFO mapreduce.Job: map 0% reduce 0% I made multiple config changes, but cannot find a solution for this. The only error i could trace was in the nodemanager log file as below : ERROR org.apache.hadoop.yarn.server.nodemanager.NodeManager: RECEIVED SIGNAL 15: SIGTERM I tried checking various properties discussed in this thread, but i still have that issue. Can someone please help in solving this issue? Please let me know what all details i can provide.       ... View more

I understand this is older post but I am getting same problem. Can you please provide solution if it is resolved for you? Thanks ... View more

Please follow the below steps. Options for container size control Now comes the complicated part - there are various overlapping and very poorly documented options for setting the size of Tez containers. According to some links, the following options control how Tez jobs started by Hive behave: hive.tez.container.size – value in megabytes hive.tez.java.opts ... View more

@Harsh J   No, we rarely run balancer in this environment. I'll set it to 3 for now and observe for a while for any reoccurence of those WARNs if any . (CM recommends to set it between a value equal or greater than replication factor and lesser than number of DNs)   Regards ... View more

Thanks for quick reply. ... View more