Hi Gary. I am currently using Mesos 0.16.0 build for Protobufs 2.5.0 (https://github.com/Guavus/mesos/tree/releases/0.16.0-HDP2x) Hadoop version 2.2 Spark 0.9.0 (https://github.com/guavus/incubator-spark/tree/guavus/branch-0.9-hdp2.2)
Things to know. Hadoop 1.0.4 uses protobufs 2.4.1 Hadoop 2.2 and 2.3 uses protobufs 2.5.0 Mesos < 0.17.0 uses protobufs 2.4.1 Mesos >= 0.17.0 uses protobufs 2.5.0 If you need Mesos 0.15.0 on protobufs 2.5.0 you could try to backport https://github.com/Guavus/mesos/tree/releases/0.16.0-HDP2x but if you keep CDH4 with protobufs 2.4.1 you will run into trouble. Let me know if this help. Bernardo. On Tue, Mar 25, 2014 at 4:57 PM, Gary Malouf <[email protected]> wrote: > For various reasons, our team needs to keep all of our projects on the same > protobuf version. We've now hit a point where we need to upgrade protobuf > from 2.4.1 to 2.5.0 across the board in our projects and dependent > platforms. > > *Current stack*: Mesos 0.15, Chronos, CDH 4.2.1-MRV1, Spark > 0.9-pre-scala-2.10 build off master > > *Ideal stack after upgrade*: Mesos 0.17, Chronos, CDH5 beta2, Spark 0.9.1 > (hadoop 2.2 build) > > From what we understand, we need a dependency on Hadoop 2.2 to get the > necessary protobuf upgrade. From reading Cloudera's documentation and > multiple google searches, it is not clear to me how we can construct the > stack to continue to work. > > Has anyone else requested info on getting this combination to work? From > others we've spoken to, they've basically said that we'll be forced to use > Yarn for Hadoop support in the very near future anyway so we should switch. > Since we colocate Spark with out HDFS nodes, it's hard to see how we would > run both Yarn and Mesos on the same servers.
