You could consider using Zeppelin - https://zeppelin.incubator.apache.org/docs/latest/interpreter/spark.html <https://zeppelin.incubator.apache.org/docs/latest/interpreter/spark.html>
https://zeppelin.incubator.apache.org/ <https://zeppelin.incubator.apache.org/> ZeppelinContext Zeppelin automatically injects ZeppelinContext as variable 'z' in your scala/python environment. ZeppelinContext provides some additional functions and utility. Object exchange ZeppelinContext extends map and it's shared between scala, python environment. So you can put some object from scala and read it from python, vise versa. Put object from scala %spark val myObject = ... z.put("objName", myObject) Get object from python %python myObject = z.get("objName") > On Feb 15, 2016, at 12:10 PM, Leonid Blokhin <lblok...@provectus.com> wrote: > > Hello > > I want to work with single context Spark from Python and Scala. Is it > possible? > > Is it possible to do betwen started ./bin/pyspark and ./bin/spark-shell for > dramatic example? > > > > Cheers, > > Leonid >
