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https://issues.apache.org/jira/browse/APEXCORE-494?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15415474#comment-15415474
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Thomas Weise commented on APEXCORE-494:
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There is an existing unit test for a similar scenario where the operator that
is repartitioned has an upstream operator (in your case the operator is input):
testRepartitioningScaleUp
Have you looked what is different between the 2 scenarios and why it won't work
for the input operator?
> Window id of downstream operator is not moving after dynamic partition of
> upstream operator.
> --------------------------------------------------------------------------------------------
>
> Key: APEXCORE-494
> URL: https://issues.apache.org/jira/browse/APEXCORE-494
> Project: Apache Apex Core
> Issue Type: Bug
> Reporter: Chaitanya
> Assignee: Chaitanya
> Attachments: PhysicalDAGAfterKafkaRepartition.png,
> PhysicalDAGBeforeKafkaRepartition.png,
> PhysicalOperatorAfterKafkaRepartition.png
>
>
> Created the following application to reproduce this issue.
> Application has the following DAG:
> KafkaSinglePortStringInputOperator(Input) -> ConsoleOutputOperator(Output)
>
> I launched the application with below configuration:
> Kafka topic created with single partition and replication factor as 1.
> Partition Strategy: ONE_TO_ONE
> Launched the application successfully. After some time, I increased the
> topic partitions to 2. After re-partition, the window of down stream operator
> is not moving. By looking into the app Physical DAG, it looks like there is
> an issue in construction of Physical DAG after re-partition.
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