Hey,
I am about to implement a spark app which will require to use both, pyspark and
spark on scala.
Data should be read from AWS S3 (compressed CSV files), and must be
pre-processed by an existing Python codebase. However, our final goal is to
make those datasets available for Spark apps written in either Python or Scala
through e.g. Tachyon.
S3 => Pyspark => Tachyon => {Py, Scala}Spark
Is there any recommended way to pass data between Spark applications
implemented in different languages? I thought about using some sort of
serialisation framework like Thrift or Avro, but maybe there are other ways to
do this (if possible without writing CSV files). I am open for any kind of
input!
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