I've just been through this exact case with shaded guava in our Mesos setup and that is how it behaves there (with Spark 1.3.1).
cheers, Tom On Fri, May 15, 2015 at 12:04 PM, Marcelo Vanzin <van...@cloudera.com> wrote: > On Fri, May 15, 2015 at 11:56 AM, Thomas Dudziak <tom...@gmail.com> wrote: > >> Actually the extraClassPath settings put the extra jars at the end of the >> classpath so they won't help. Only the deprecated SPARK_CLASSPATH puts them >> at the front. >> > > That's definitely not the case for YARN: > > https://github.com/apache/spark/blob/master/yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala#L1013 > > And it's been like that for as far as I remember. > > I'm almost sure that's also the case for standalone, at least in master / > 1.4, since I touched a lot of that code recently. > > It would be really weird if those options worked differently from > SPARK_CLASSPATH, since they were meant to replace it. > > > On Fri, May 15, 2015 at 11:54 AM, Marcelo Vanzin <van...@cloudera.com> >> wrote: >> >>> Ah, I see. yeah, it sucks that Spark has to expose Optional (and things >>> it depends on), but removing that would break the public API, so... >>> >>> One last thing you could try is do add your newer Guava jar to >>> "spark.driver.extraClassPath" and "spark.executor.extraClassPath". Those >>> settings will place your jars before Spark's in the classpath, so you'd >>> actually be using the newer versions of the conflicting classes everywhere. >>> >>> It does require manually distributing the Guava jar to the same location >>> on all nodes in the cluster, though. >>> >>> If that doesn't work. Thomas's suggestion of shading Guava in your app >>> can be used as a last resort. >>> >>> >>> On Thu, May 14, 2015 at 7:38 PM, Anton Brazhnyk < >>> anton.brazh...@genesys.com> wrote: >>> >>>> The problem is with 1.3.1 >>>> >>>> It has Function class (mentioned in exception) in >>>> spark-network-common_2.10-1.3.1.jar. >>>> >>>> Our current resolution is actually backport to 1.2.2, which is working >>>> fine. >>>> >>>> >>>> >>>> >>>> >>>> *From:* Marcelo Vanzin [mailto:van...@cloudera.com] >>>> *Sent:* Thursday, May 14, 2015 6:27 PM >>>> *To:* Anton Brazhnyk >>>> *Cc:* user@spark.apache.org >>>> *Subject:* Re: Spark's Guava pieces cause exceptions in non-trivial >>>> deployments >>>> >>>> >>>> >>>> What version of Spark are you using? >>>> >>>> The bug you mention is only about the Optional class (and a handful of >>>> others, but none of the classes you're having problems with). All other >>>> Guava classes should be shaded since Spark 1.2, so you should be able to >>>> use your own version of Guava with no problems (aside from the Optional >>>> classes). >>>> >>>> Also, Spark 1.3 added some improvements to how shading is done, so if >>>> you're using 1.2 I'd recommend trying 1.3 before declaring defeat. >>>> >>>> >>>> >>>> On Thu, May 14, 2015 at 4:52 PM, Anton Brazhnyk < >>>> anton.brazh...@genesys.com> wrote: >>>> >>>> Greetings, >>>> >>>> >>>> >>>> I have a relatively complex application with Spark, Jetty and Guava >>>> (16) not fitting together. >>>> >>>> Exception happens when some components try to use “mix” of Guava >>>> classes (including Spark’s pieces) that are loaded by different >>>> classloaders: >>>> >>>> java.lang.LinkageError: loader constraint violation: when resolving >>>> method >>>> "com.google.common.collect.Iterables.transform(Ljava/lang/Iterable;Lcom/google/common/base/Function;)Ljava/lang/Iterable;" >>>> the class loader (instance of org/eclipse/jetty/webapp/WebAppClassLoader) >>>> of the current class, org/apache/cassandra/db/ColumnFamilyStore, and the >>>> class loader (instance of java/net/URLClassLoader) for resolved class, >>>> com/google/common/collect/Iterables, have different Class objects for the >>>> type e;Lcom/google/common/base/Function;)Ljava/lang/Iterable; used in the >>>> signature >>>> >>>> >>>> >>>> According to https://issues.apache.org/jira/browse/SPARK-4819 it’s not >>>> going to be fixed at least until Spark 2.0, but maybe some workaround is >>>> possible? >>>> >>>> Those classes are pretty simple and have low chances to be changed in >>>> Guava significantly, so any “external” Guava can provide them. >>>> >>>> >>>> >>>> So, could such problems be fixed if those Spark’s pieces of Guava would >>>> be in separate jar and could be excluded from the mix (substituted by >>>> “external” Guava)? >>>> >>>> >>>> >>>> >>>> >>>> Thanks, >>>> >>>> Anton >>>> >>>> >>>> >>>> >>>> -- >>>> >>>> Marcelo >>>> >>> >>> >>> >>> -- >>> Marcelo >>> >> >> > > > -- > Marcelo >
