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Apache Spark commented on SPARK-1458: ------------------------------------- User 'JoshRosen' has created a pull request for this issue: https://github.com/apache/spark/pull/1596 > Expose sc.version in PySpark > ---------------------------- > > Key: SPARK-1458 > URL: https://issues.apache.org/jira/browse/SPARK-1458 > Project: Spark > Issue Type: New Feature > Components: PySpark, Spark Core > Affects Versions: 0.9.0 > Reporter: Nicholas Chammas > Assignee: Josh Rosen > Priority: Minor > > As discussed > [here|http://apache-spark-user-list.1001560.n3.nabble.com/programmatic-way-to-tell-Spark-version-td1929.html], > I think it would be nice if there was a way to programmatically determine > what version of Spark you are running. > The potential use cases are not that important, but they include: > # Branching your code based on what version of Spark is running. > # Checking your version without having to quit and restart the Spark shell. > Right now in PySpark, I believe the only way to determine your version is by > firing up the Spark shell and looking at the startup banner. -- This message was sent by Atlassian JIRA (v6.2#6252)