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https://issues.apache.org/jira/browse/SPARK-13700?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Paulo Costa updated SPARK-13700:
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Description:
Spark is great for synchronous operations.
But sometimes I need to call a 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.
was:
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.
> 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
> Labels: async, features, rdd, transform
>
> Spark is great for synchronous operations.
> But sometimes I need to call a 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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