So if there is just a few python functions your interested in accessing you can also use the pipe interface (you'll have to manually serialize your data on both ends in ways that Python and Scala can respectively parse) - but its a very generic approach and can work with many different languages.
On Mon, Apr 18, 2016 at 10:23 AM, Ndjido Ardo BAR <ndj...@gmail.com> wrote: > Hi Didier, > > I think with PySpark you can wrap your legacy Python functions into UDFs > and use it in your DataFrames. But you have to use DataFrames instead of > RDD. > > cheers, > Ardo > > On Mon, Apr 18, 2016 at 7:13 PM, didmar <marin.did...@gmail.com> wrote: > >> Hi, >> >> I have a Spark project in Scala and I would like to call some Python >> functions from within the program. >> Both parts are quite big, so re-coding everything in one language is not >> really an option. >> >> The workflow would be: >> - Creating a RDD with Scala code >> - Mapping a Python function over this RDD >> - Using the result directly in Scala >> >> I've read about PySpark internals, but that didn't help much. >> Is it possible to do so, and preferably in an efficent manner ? >> >> Cheers, >> Didier >> >> >> >> -- >> View this message in context: >> http://apache-spark-user-list.1001560.n3.nabble.com/Calling-Python-code-from-Scala-tp26798.html >> Sent from the Apache Spark User List mailing list archive at Nabble.com. >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >> For additional commands, e-mail: user-h...@spark.apache.org >> >> > -- Cell : 425-233-8271 Twitter: https://twitter.com/holdenkarau
