OK, JIRA created: https://issues.apache.org/jira/browse/SPARK-16080
Also, after looking at the code a bit I think I see the reason. If I'm
correct, it may actually be a very easy fix.
On Mon, Jun 20, 2016 at 1:21 PM Marcelo Vanzin <van...@cloudera.com> wrote:
> It doesn't hurt to have a bug tracking it, in case anyone else has
> time to look at it before I do.
>
> On Mon, Jun 20, 2016 at 1:20 PM, Jonathan Kelly <jonathaka...@gmail.com>
> wrote:
> > Thanks for the confirmation! Shall I cut a JIRA issue?
> >
> > On Mon, Jun 20, 2016 at 10:42 AM Marcelo Vanzin <van...@cloudera.com>
> wrote:
> >>
> >> I just tried this locally and can see the wrong behavior you mention.
> >> I'm running a somewhat old build of 2.0, but I'll take a look.
> >>
> >> On Mon, Jun 20, 2016 at 7:04 AM, Jonathan Kelly <jonathaka...@gmail.com
> >
> >> wrote:
> >> > Does anybody have any thoughts on this?
> >> >
> >> > On Fri, Jun 17, 2016 at 6:36 PM Jonathan Kelly <
> jonathaka...@gmail.com>
> >> > wrote:
> >> >>
> >> >> I'm trying to debug a problem in Spark 2.0.0-SNAPSHOT (commit
> >> >> bdf5fe4143e5a1a393d97d0030e76d35791ee248) where Spark's
> >> >> log4j.properties is
> >> >> not getting picked up in the executor classpath (and driver classpath
> >> >> for
> >> >> yarn-cluster mode), so Hadoop's log4j.properties file is taking
> >> >> precedence
> >> >> in the YARN containers.
> >> >>
> >> >> Spark's log4j.properties file is correctly being bundled into the
> >> >> __spark_conf__.zip file and getting added to the DistributedCache,
> but
> >> >> it is
> >> >> not in the classpath of the executor, as evidenced by the following
> >> >> command,
> >> >> which I ran in spark-shell:
> >> >>
> >> >> scala> sc.parallelize(Seq(1)).map(_ =>
> >> >> getClass().getResource("/log4j.properties")).first
> >> >> res3: java.net.URL = file:/etc/hadoop/conf.empty/log4j.properties
> >> >>
> >> >> I then ran the following in spark-shell to verify the classpath of
> the
> >> >> executors:
> >> >>
> >> >> scala> sc.parallelize(Seq(1)).map(_ =>
> >> >> System.getProperty("java.class.path")).flatMap(_.split(':')).filter(e
> >> >> =>
> >> >> !e.endsWith(".jar") && !e.endsWith("*")).collect.foreach(println)
> >> >> ...
> >> >>
> >> >>
> >> >>
> /mnt/yarn/usercache/hadoop/appcache/application_1466208403287_0003/container_1466208403287_0003_01_000003
> >> >>
> >> >>
> >> >>
> /mnt/yarn/usercache/hadoop/appcache/application_1466208403287_0003/container_1466208403287_0003_01_000003/__spark_conf__
> >> >> /etc/hadoop/conf
> >> >> ...
> >> >>
> >> >> So the JVM has this nonexistent __spark_conf__ directory in the
> >> >> classpath
> >> >> when it should really be __spark_conf__.zip (which is actually a
> >> >> symlink to
> >> >> a directory, despite the .zip filename).
> >> >>
> >> >> % sudo ls -l
> >> >>
> >> >>
> /mnt/yarn/usercache/hadoop/appcache/application_1466208403287_0003/container_1466208403287_0003_01_000003
> >> >> total 20
> >> >> -rw-r--r-- 1 yarn yarn 88 Jun 18 01:26 container_tokens
> >> >> -rwx------ 1 yarn yarn 594 Jun 18 01:26
> >> >> default_container_executor_session.sh
> >> >> -rwx------ 1 yarn yarn 648 Jun 18 01:26
> default_container_executor.sh
> >> >> -rwx------ 1 yarn yarn 4419 Jun 18 01:26 launch_container.sh
> >> >> lrwxrwxrwx 1 yarn yarn 59 Jun 18 01:26 __spark_conf__.zip ->
> >> >> /mnt1/yarn/usercache/hadoop/filecache/17/__spark_conf__.zip
> >> >> lrwxrwxrwx 1 yarn yarn 77 Jun 18 01:26 __spark_libs__ ->
> >> >>
> >> >>
> /mnt/yarn/usercache/hadoop/filecache/16/__spark_libs__4490748779530764463.zip
> >> >> drwx--x--- 2 yarn yarn 46 Jun 18 01:26 tmp
> >> >>
> >> >> Does anybody know why this is happening? Is this a bug in Spark, or
> is
> >> >> it
> >> >> the JVM doing this (possibly because the extension is .zip)?
> >> >>
> >> >> Thanks,
> >> >> Jonathan
> >>
> >>
> >>
> >> --
> >> Marcelo
>
>
>
> --
> Marcelo
>
