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  • Check JIRA for remaining issues tied to the release
    • Review and merge any blocking features
    • Bump other remaining features to subsequent releases
  • Ensure Spark versions are correct in the codebase
    • See this example commit
    • The You should "grep" through the codebase to find all instances of the version string. Some known places to change are:
      • SBT build: Change version in file 'project/SparkBuild.scala'
      • Maven build: Change version in ALL the pom.xml files in repo. Note that the version should be SPARK-VERSION_SNAPSHOT and it will be changed to SPARK-VERSION automatically by Maven when cutting the release.
        • Exception: Change 'yarn/alpha/pom.xml' to SPARK-VERSION. Note that this is different from the main 'pom.xml' because the YARN alpha module does not get published as an artifact through Maven when cutting the release and so does not get version bumped from SPARK-VERSION_SNAPSHOT to SPARK-VERSION.
      • Spark REPLs
        • Scala REPL: Check inside 'repl/src/main/scala/org/apache/spark/repl/'
        • Python REPL: Check inside 'python/pyspark'
      • Docs: Change in file 'docs/_config.yml'
      • Spark EC2 scripts: Change mapping between Spark and Shark versions and the default Spark version in cluster

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