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ASF GitHub Bot commented on APEXCORE-494: ----------------------------------------- Github user tweise commented on a diff in the pull request: https://github.com/apache/apex-core/pull/362#discussion_r72893138 --- Diff: engine/src/main/java/com/datatorrent/stram/plan/physical/PhysicalPlan.java --- @@ -962,8 +963,11 @@ private void redoPartitions(PMapping currentMapping, String note) mainPC.operatorIdToPartition.put(p.getId(), newPartition); } + // Get the deepest down stream mapping + PMapping downStreamMapping = currentMapping; --- End diff -- What means "deepest"? There could be multiple such mappings. > 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)