Paulo Costa created SPARK-13700:
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Summary: Rdd.mapAsync(): Easily mix Spark and asynchroneous
transformation
Key: SPARK-13700
URL: https://issues.apache.org/jira/browse/SPARK-13700
Project: Spark
Issue Type: Improvement
Components: Spark Core
Affects Versions: 1.6.0
Reporter: Paulo Costa
Priority: Minor
Spark is great for synchronous operations.
But sometimes I need to call a web database/web server/etc from my transform,
and the Spark pipeline stalls waiting for it.
Avoiding that would be great!
I suggest we add a new method RDD.mapAsync(), which can execute these
operations concurrently, avoiding the bottleneck.
I've written a quick'n'dirty implementation of what I have in mind:
https://gist.github.com/paulo-raca/d121cf27905cfb1fafc3
What do you think?
If you agree with this feature, I can work on a pull request.
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