GitHub user gaborhermann opened a pull request: https://github.com/apache/flink/pull/994
[FLINK-2286] [streaming] Wrapped ParallelMerge into stream operator Resolved the issue by wrapping the ParallelMerge function into a StreamOperator and emitting the remaining records at the end of the data processing. This is not tested (automatically), as I could not reproduce the issue in a deterministic way (due to its behaviour depending on time). It can be reproduced by changing the streaming WordCount to use windows: ```java final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); DataStreamSource<String> text = env.fromElements( "To be, or not to be,--that is the question:--", "Whether 'tis nobler in the mind to suffer" ); DataStream<Tuple2<String, Integer>> counts = text.flatMap(new Tokenizer()) .window(Time.of(1000, TimeUnit.MILLISECONDS)) .groupBy(0) .sum(1) .flatten(); counts.print(); ``` This topology would print nothing before the fix. You can merge this pull request into a Git repository by running: $ git pull https://github.com/gaborhermann/flink FLINK-2286 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/flink/pull/994.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 #994 ---- commit 86096adb688d9233c77986c3012298ae00bfbba0 Author: Gábor Hermann <reckone...@gmail.com> Date: 2015-08-06T13:42:54Z [FLINK-2286] [streaming] Wrapped ParallelMerge into stream operator ---- --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. ---