Thank You so much for your help. It is working now.
On Mon, Sep 5, 2016 at 1:15 AM, Thomas Weise <[email protected]> wrote: > Since it is the virtual memory, please see: > > http://docs.datatorrent.com/configuration/#hadoop-tuning > > -- > sent from mobile > On Sep 4, 2016 12:10 PM, "Munagala Ramanath" <[email protected]> wrote: > >> It looks like there is not enough memory for all the containers. If you're >> running in the sandbox, how much memory is allocated to the sandbox ? >> Can you try increasing it ? >> >> There is also a detailed discussion of how to manage memory using >> configuration >> parameters in the properties files at: http://docs.datatorrent.co >> m/tutorials/topnwords-c7/ >> >> As a first step, can you simply build the archetype generated project >> (without copying >> over the source files for the word count application) and try to run the >> resulting app ? >> It has only 2 operators and so minimal memory requirements. If it runs, >> it will confirm >> that your setup is OK but availability of adequate memory is the issue. >> >> Ram >> >> On Sun, Sep 4, 2016 at 11:47 AM, Ambarish Pande < >> [email protected]> wrote: >> >>> Hello Guys, >>> >>> I have followed the steps shown in this video https://www.youtube.com/ >>> watch?v=LwRWBudOjg4&feature=youtu.be to build my first apex >>> application. My application is failing and the following diagnostics report >>> is shown in the web admin interface on master:8088 >>> >>> ---------- >>> >>> Application application_1473011986197_0001 failed 2 times due to AM >>> Container for appattempt_1473011986197_0001_000002 exited with >>> exitCode: -103 >>> For more detailed output, check application tracking page: >>> http://master:8088/cluster/app/application_1473011986197_0001Then, >>> click on links to logs of each attempt. >>> Diagnostics: Container [pid=8339,containerID=containe >>> r_1473011986197_0001_02_000001] is running beyond virtual memory >>> limits. Current usage: 254.7 MB of 1 GB physical memory used; 2.4 GB of 2.1 >>> GB virtual memory used. Killing container. >>> Dump of the process-tree for container_1473011986197_0001_02_000001 : >>> |- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) >>> SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE >>> |- 8389 8339 8339 8339 (java) 976 19 2575908864 64519 >>> /usr/lib/jvm/java-8-oracle/bin/java -Djava.io.tmpdir=/home/hadoopu >>> ser/tmp/nm-local-dir/usercache/hadoopuser/appcache/applicati >>> on_1473011986197_0001/container_1473011986197_0001_02_000001/tmp >>> -Xmx768m -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/tmp/dt-heap-1.bin >>> -Dhadoop.root.logger=INFO,RFA -Dhadoop.log.dir=/home/hadoopu >>> ser/hadoop/logs/userlogs/application_1473011986197_0001/ >>> container_1473011986197_0001_02_000001 -Ddt.attr.APPLICATION_PATH=hdf >>> s://master:54310/user/hadoopuser/datatorrent/apps/application_1473011986197_0001 >>> com.datatorrent.stram.StreamingAppMaster >>> |- 8339 8337 8339 8339 (bash) 0 0 17043456 679 /bin/bash -c >>> /usr/lib/jvm/java-8-oracle/bin/java -Djava.io.tmpdir=/home/hadoopu >>> ser/tmp/nm-local-dir/usercache/hadoopuser/appcache/applicati >>> on_1473011986197_0001/container_1473011986197_0001_02_000001/tmp >>> -Xmx768m -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/tmp/dt-heap-1.bin >>> -Dhadoop.root.logger=INFO,RFA -Dhadoop.log.dir=/home/hadoopu >>> ser/hadoop/logs/userlogs/application_1473011986197_0001/ >>> container_1473011986197_0001_02_000001 -Ddt.attr.APPLICATION_PATH=hdf >>> s://master:54310/user/hadoopuser/datatorrent/apps/application_1473011986197_0001 >>> com.datatorrent.stram.StreamingAppMaster 1>/home/hadoopuser/hadoop/logs >>> /userlogs/application_1473011986197_0001/container_147301198 >>> 6197_0001_02_000001/AppMaster.stdout 2>/home/hadoopuser/hadoop/logs >>> /userlogs/application_1473011986197_0001/container_147301198 >>> 6197_0001_02_000001/AppMaster.stderr >>> Container killed on request. Exit code is 143 >>> Container exited with a non-zero exit code 143 >>> Failing this attempt. Failing the application. >>> >>> >>> ---------- >>> >>> >>> Any help would be appreciated. >>> >>> Thank you in advance. >>> >>> >>> >>> >>
