I had this problem also with spark 1.1.1. At the time I was using hadoop
0.20.
To get around it I installed hadoop 2.5.2, and set the protobuf.version to
2.5.0 in the build command like so:
mvn -Phadoop-2.5 -Dhadoop.version=2.5.2 -Dprotobuf.version=2.5.0
-DskipTests clean package
So I changed spark's pom.xml to read the protobuf.version from the command
line.
If I didn't explicitly set protobuf.version it was picking up an older
version that existed on my filesystem somewhere,
Karen
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