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https://issues.apache.org/jira/browse/BEAM-84?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Amit Sela closed BEAM-84.
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Resolution: Duplicate
Fix Version/s: Not applicable
Handled by BEAM-920
> Add support for Session Windows - Beam Sessions
> -----------------------------------------------
>
> Key: BEAM-84
> URL: https://issues.apache.org/jira/browse/BEAM-84
> Project: Beam
> Issue Type: New Feature
> Components: runner-spark
> Reporter: Amit Sela
> Fix For: Not applicable
>
>
> Implement Beam Sessions, or Session Windows, by maintaining the session
> state. Spark 1.6 presents mapWithState as an improvement to updateStateByKey
> so It'd be better to use it.
> See "Session Windows" in Dataflow documentation here:
> https://cloud.google.com/dataflow/model/windowing#Functions
> Also, this blog post from Databricks would be a good place to start:
> https://databricks.com/blog/2016/02/01/faster-stateful-stream-processing-in-spark-streaming.html
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