Hi there,
I wished for intermediate datasets, and Santa Ufuk made my wishes come true
(thank you, Santa)!
Now that FLINK-986 is in the mainline, I want to ask some practical
questions.
In Spark, there is a way to put a value from the local driver to the
distributed runtime via
val x = env.parallelize(...) // expose x to the distributed runtime
val y = dataflow(env, x) // y is produced by a dataflow which reads from x
and also to get a value from the distributed runtime back to the driver
val z = env.collect("y")
As far as I know, in Flink we have an equivalent for parallelize
val x = env.fromCollection(...)
but not for collect. Is this still the case?
If yes, how hard would it be to add this feature at the moment? Can you
give me some pointers?
Regards,
Alexander
