hi I am using spark with yarn . how can i make sure that the ulimit settings are applied to the Spark process ?
I set core dump limit to unlimited in all nodes . Edit /etc/security/limits.conf file and add " * soft core unlimited " line. i rechecked using : $ ulimit -all core file size (blocks, -c) unlimited data seg size (kbytes, -d) unlimited scheduling priority (-e) 0 file size (blocks, -f) unlimited pending signals (-i) 241204 max locked memory (kbytes, -l) 64 max memory size (kbytes, -m) unlimited open files (-n) 1024 pipe size (512 bytes, -p) 8 POSIX message queues (bytes, -q) 819200 real-time priority (-r) 0 stack size (kbytes, -s) 8192 cpu time (seconds, -t) unlimited max user processes (-u) 241204 virtual memory (kbytes, -v) unlimited file locks (-x) unlimited Regards Prateek On Thu, Jun 16, 2016 at 4:46 AM, Jacek Laskowski <ja...@japila.pl> wrote: > Hi, > > Can you make sure that the ulimit settings are applied to the Spark > process? Is this Spark on YARN or Standalone? > > Pozdrawiam, > Jacek Laskowski > ---- > https://medium.com/@jaceklaskowski/ > Mastering Apache Spark http://bit.ly/mastering-apache-spark > Follow me at https://twitter.com/jaceklaskowski > > > On Wed, Jun 1, 2016 at 7:55 PM, prateek arora > <prateek.arora...@gmail.com> wrote: > > Hi > > > > I am using cloudera to setup spark 1.6.0 on ubuntu 14.04 . > > > > I set core dump limit to unlimited in all nodes . > > Edit /etc/security/limits.conf file and add " * soft core unlimited > " > > line. > > > > i rechecked using : $ ulimit -all > > > > core file size (blocks, -c) unlimited > > data seg size (kbytes, -d) unlimited > > scheduling priority (-e) 0 > > file size (blocks, -f) unlimited > > pending signals (-i) 241204 > > max locked memory (kbytes, -l) 64 > > max memory size (kbytes, -m) unlimited > > open files (-n) 1024 > > pipe size (512 bytes, -p) 8 > > POSIX message queues (bytes, -q) 819200 > > real-time priority (-r) 0 > > stack size (kbytes, -s) 8192 > > cpu time (seconds, -t) unlimited > > max user processes (-u) 241204 > > virtual memory (kbytes, -v) unlimited > > file locks (-x) unlimited > > > > but when I am running my spark application with some third party native > > libraries . but it crashes some time and show error " Failed to write > core > > dump. Core dumps have been disabled. To enable core dumping, try "ulimit > -c > > unlimited" before starting Java again " . > > > > Below are the log : > > > > A fatal error has been detected by the Java Runtime Environment: > > # > > # SIGSEGV (0xb) at pc=0x00007fd44b491fb9, pid=20458, tid=140549318547200 > > # > > # JRE version: Java(TM) SE Runtime Environment (7.0_67-b01) (build > > 1.7.0_67-b01) > > # Java VM: Java HotSpot(TM) 64-Bit Server VM (24.65-b04 mixed mode > > linux-amd64 compressed oops) > > # Problematic frame: > > # V [libjvm.so+0x650fb9] jni_SetByteArrayRegion+0xa9 > > # > > # Failed to write core dump. Core dumps have been disabled. To enable > core > > dumping, try "ulimit -c unlimited" before starting Java again > > # > > # An error report file with more information is saved as: > > # > > > /yarn/nm/usercache/master/appcache/application_1462930975871_0004/container_1462930975871_0004_01_000066/hs_err_pid20458.log > > # > > # If you would like to submit a bug report, please visit: > > # http://bugreport.sun.com/bugreport/crash.jsp > > # > > > > > > so how can i enable core dump and save it some place ? > > > > Regards > > Prateek > > > > > > > > -- > > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/How-to-enable-core-dump-in-spark-tp27065.html > > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > > > --------------------------------------------------------------------- > > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > > For additional commands, e-mail: user-h...@spark.apache.org > > >
