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https://issues.apache.org/jira/browse/MESOS-1069?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13995695#comment-13995695
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Bernardo Gomez Palacio commented on MESOS-1069:
-----------------------------------------------
Amending...
In your Java code.
{code}
//instead of import com.google.protobuf.ByteString
import org.apache.mesos.protobuf.ByteString
{code}
> Branch for 0.16.0 with Protobufs 2.5.0
> --------------------------------------
>
> Key: MESOS-1069
> URL: https://issues.apache.org/jira/browse/MESOS-1069
> Project: Mesos
> Issue Type: Improvement
> Affects Versions: 0.16.0
> Reporter: Bernardo Gomez Palacio
> Assignee: Bernardo Gomez Palacio
> Fix For: 0.17.0
>
>
> If you deploy Mesos 0.16.0 on a Hadoop 2.x cluster with Spark 0.9.0+ you will
> start getting stack-dumps similar to
> [dump.log|https://gist.github.com/berngp/c16c56516cb40d9a78fe]
> Without going into much detail the hadoop-client.jar for 2.x now requires
> Protobuf 2.5.0 and therefore Spark will require the same protobuf
> version. Due this you will need to run Spark on Mesos with support of
> Protobuf 2.5.0.
> If you want to use Mesos 0.16.0, which is the latest stable release, you will
> need support of Protobufs 2.5.0 on Mesos 0.16.0.
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