GitHub user vanzin opened a pull request: https://github.com/apache/spark/pull/4272
[SPARK-5466] Add explicit guava dependencies where needed. One side-effect of shading guava is that it disappears as a transitive dependency. For Hadoop 2.x, this was masked by the fact that Hadoop itself depends on guava. But certain versions of Hadoop 1.x also shade guava, leaving either no guava or some random version pulled by another dependency on the classpath. So be explicit about the dependency in modules that use guava directly, which is the right thing to do anyway. You can merge this pull request into a Git repository by running: $ git pull https://github.com/vanzin/spark SPARK-5466 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/4272.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #4272 ---- commit d3b2c84eea8ff75d6cdec46c48b8dc8c9aa1bf11 Author: Marcelo Vanzin <van...@cloudera.com> Date: 2015-01-29T18:10:19Z [SPARK-5466] Add explicit guava dependencies where needed. One side-effect of shading guava is that it disappears as a transitive dependency. For Hadoop 2.x, this was masked by the fact that Hadoop itself depends on guava. But certain versions of Hadoop 1.x also shade guava, leaving either no guava or some random version pulled by another dependency on the classpath. So be explicit about the dependency in modules that use guava directly, which is the right thing to do anyway. ---- --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org