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ASF GitHub Bot commented on APEXCORE-494: ----------------------------------------- GitHub user chaithu14 opened a pull request: https://github.com/apache/apex-core/pull/359 APEXCORE-494 Fixed the dynamic partition issue in case of initial partition size is 1 You can merge this pull request into a Git repository by running: $ git pull https://github.com/chaithu14/incubator-apex-core APEXCORE-494-DPartIssue Alternatively you can review and apply these changes as the patch at: https://github.com/apache/apex-core/pull/359.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #359 ---- commit c4578818fb970580310cff1d3a24d6884645c233 Author: Chaitanya <chaita...@datatorrent.com> Date: 2016-07-19T11:42:48Z APEXCORE-494 Fixed the dynamic partition issue in case of initial partition size is 1 ---- > 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332)