Hi Stoney,

Thanks for info. A couple of follow-up questions:
- If I build Spark 0.8.0 with hadoop-client 2.0.5-alpha, can I use it
safely to connect to Hadoop (HDFS) server running 2.1.0-beta?
- Do you know if there plans / outlook on making the master compatible with
2.1.0-beta?

--
Best regards,
Sergey Parhomenko


On 27 September 2013 20:25, Stoney Vintson <[email protected]> wrote:

> > We tried building recently released Spark 0.8.0 with latest version of
> > hadoop-client (2.1.0-beta) and YARN support. According to release notes,
> > 0.8.0 should support YARN. The build, however, fails with compilation
> error.
> > Command line used was SPARK_HADOOP_VERSION=2.1.0-beta SPARK_YARN=true
> > sbt/sbt assembly, the log file is attached. Latest master code also
> fails.
> > Building without YARN or with previous (2.0.6-alpha) version of
> > hadoop-client works.
> >
>
> 1. There are some incompatible changes to yarn release 2.1.0-beta
> compared to yarn release 2.0.6 alpha.  You can read about the changes
> at the links provided below.  Some of the changes are YARN-439 Flatten
> NodeHeartbeatResponse, YARN-440 Flatten RegisterNodeManagerResponse by
> Xuan Gong via sseth.
>
> a.
> http://hadoop.apache.org/docs/r2.1.0-beta/hadoop-project-dist/hadoop-yarn/CHANGES.txt
> b.
> http://hadoop.apache.org/docs/r2.1.0-beta/hadoop-project-dist/hadoop-common/releasenotes.html
> c.
> http://hortonworks.com/blog/stabilizing-yarn-apis-for-apache-hadoop-2-beta-and-beyond/#.UkNaC7yoUkA
>
> 2.  Currently, you can build spark with the earlier 2.0.6-alpha release.
> When using spark release 0.7.3 or release 0.8.0 you can build for use
> with the YARN resource allocator by issuing the following command from
> the install directory.
>
> SPARK_HADOOP_VERSION=2.0.5-alpha SPARK_YARN=true sbt/sbt assembly
>
> http://spark.incubator.apache.org/docs/latest/running-on-yarn.html
>
> > Are we doing something wrong or is the support for YARN on 2.1.0-beta not
> > yet there? We would prefer not to downgrade from Hadoop 2 beta to alpha.
> >
> > --
> > Best regards,
> > Sergey Parhomenko
>

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