Not currently in Spark.
However, there are systems out there that can share DataFrame between languages
on top of Spark - it’s not calling the python UDF directly but you can pass the
DataFrame to python and then .map(UDF) that way.
From: Fiske, Danny
Sent: Monday, July 15, 2019 6:58:32 AM
To: user@spark.apache.org
Subject: [PySpark] [SparkR] Is it possible to invoke a PySpark function with a
SparkR DataFrame?
Hi all,
Forgive this naïveté, I’m looking for reassurance from some experts!
In the past we created a tailored Spark library for our organisation,
implementing Spark functions in Scala with Python and R “wrappers” on top, but
the focus on Scala has alienated our analysts/statisticians/data scientists and
collaboration is important for us (yeah… we’re aware that your SDKs are very
similar across languages… :/ ). We’d like to see if we could forego the Scala
facet in order to present the source code in a language more familiar to users
and internal contributors.
We’d ideally write our functions with PySpark and potentially create a SparkR
“wrapper” over the top, leading to the question:
Given a function written with PySpark that accepts a DataFrame parameter, is
there a way to invoke this function using a SparkR DataFrame?
Is there any reason to pursue this? Is it even possible?
Many thanks,
Danny
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