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From "Amit Sela (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (BEAM-853) Force streaming execution on batch pipelines for testing.
Date Wed, 14 Dec 2016 18:12:58 GMT

     [ https://issues.apache.org/jira/browse/BEAM-853?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Amit Sela updated BEAM-853:
---------------------------
    Description: 
The SDK's {{streaming}} tests actually use a {{BoundedReadFromUnboundedSource}} while "forcing"
a streaming pipeline (although the input is {{Read.Bounded}}).

The {{TestSparkRunner}} should be able to use the underlying {{UnboundedSource}} to execute
a streaming pipeline.

  was:
Beam's {{RunnableOnService}} tests for runners are written with bounded reads so the SparkRunner
should force a streaming pipeline on an "all-batch" pipeline. 

Currently the runner will decide the translation (batch/streaming) according to the input
PCollection boundness (in case of input, according to output).

One way to overcome this would be to override this behaviour in {{TestSparkRunner}}.
Another challenge is the implementation itself - we could clearly read the RDD and create
a single-RDD-DStream of it (following RDDs will be empty) but this will miss the point of
testing streaming pipelines both for testing the execution of {{Read.Unbounded}} and for testing
across-microbatches (tests state management).

Finally, we have to consider how this is going to play nicely with {{SplittableDoFn}}.


> Force streaming execution on batch pipelines for testing.
> ---------------------------------------------------------
>
>                 Key: BEAM-853
>                 URL: https://issues.apache.org/jira/browse/BEAM-853
>             Project: Beam
>          Issue Type: Bug
>          Components: runner-spark
>            Reporter: Amit Sela
>            Assignee: Amit Sela
>
> The SDK's {{streaming}} tests actually use a {{BoundedReadFromUnboundedSource}} while
"forcing" a streaming pipeline (although the input is {{Read.Bounded}}).
> The {{TestSparkRunner}} should be able to use the underlying {{UnboundedSource}} to execute
a streaming pipeline.



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