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https://issues.apache.org/jira/browse/MESOS-1069?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13995687#comment-13995687
]
Bernardo Gomez Palacio commented on MESOS-1069:
-----------------------------------------------
Since Mesos 0.18.1 we now supports protobuf shading which enables Mesos to keep
the protobuf version internal through the `org.apache.mesos.protobuf`
namespace. This enables Mesos to work with protobuf versions that are
externalized by other libraries.
Using the shaded artifact:
Maven.
{code}
<dependency>
<groupId>org.apache.mesos</groupId>
<artifactId>mesos</artifactId>
<version>${mesos.version}</version>
<classifier>${mesos.classifier}</classifier>
<exclusions>
<exclusion>
<groupId>com.google.protobuf</groupId>
<artifactId>protobuf-java</artifactId>
</exclusion>
</exclusions>
</dependency>
{code}
SBT
{code}
"org.apache.mesos" % "mesos" % "0.18.1"
classifier("shaded-protobuf") exclude("com.google.protobuf", "protobuf-java")
{code}
In your Java code.
{code}
import com.google.protobuf.ByteString
//instead of 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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