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Danny McCormick commented on BEAM-11341: ---------------------------------------- This issue has been migrated to https://github.com/apache/beam/issues/20599 > Pipeline using GenerateSequence not working with SDF > ---------------------------------------------------- > > Key: BEAM-11341 > URL: https://issues.apache.org/jira/browse/BEAM-11341 > Project: Beam > Issue Type: Bug > Components: runner-flink > Affects Versions: 2.25.0 > Reporter: Kyle Weaver > Priority: P3 > > Originally reported by Tao Li on the mailing list: > https://lists.apache.org/thread.html/r20ec55733a0b54018e23e43fe2ca3359b5adf7ad1f98c5ff7a35254a%40%3Cuser.beam.apache.org%3E > ---- > I am running into a problem with > “org.apache.beam:beam-runners-flink-1.11:2.25.0” and > “org.apache.beam:beam-runners-flink-1.10:2.25.0”. I am doing some local > testing with the flink runners in embedded mode. The problem is that I cannot > save data into local files using those artifact versions. However when I > switched to “org.apache.beam:beam-runners-flink-1.10:2.24.0”, it worked fine > and output files were saved successfully. > > I am basically generating unbounded data in memory using GenerateSequence > transform and saving it into local files. Here is the code that generates > unlimited data in memory: > > Pipeline.apply(GenerateSequence.from(0).withRate(1, new Duration(10))) > .apply(Window.into[java.lang.Long](FixedWindows.of(Duration.standardSeconds(1)))) > > I compared the logs and noticed that there is no write operation found in the > logs with “beam-runners-flink-1.11:2.25.0” and > “beam-runners-flink-1.10:2.25.0”. With the working version > “beam-runners-flink-1.10:2.24.0”, I could find below logs that was obviously > doing the write operation: > > [FileIO.Write/WriteFiles/GatherTempFileResults/Reshuffle.ViaRandomKey/Values/Values/Map/ParMultiDo(Anonymous) > -> > FileIO.Write/WriteFiles/FinalizeTempFileBundles/Finalize/ParMultiDo(Finalize) > -> > FileIO.Write/WriteFiles/FinalizeTempFileBundles/Reshuffle.ViaRandomKey/Pair > with random key/ParMultiDo(AssignShard) (9/12)] INFO > org.apache.beam.sdk.io.WriteFiles - Finalizing 1 file results > [FileIO.Write/WriteFiles/GatherTempFileResults/Reshuffle.ViaRandomKey/Values/Values/Map/ParMultiDo(Anonymous) > -> > FileIO.Write/WriteFiles/FinalizeTempFileBundles/Finalize/ParMultiDo(Finalize) > -> > FileIO.Write/WriteFiles/FinalizeTempFileBundles/Reshuffle.ViaRandomKey/Pair > with random key/ParMultiDo(AssignShard) (9/12)] INFO > org.apache.beam.sdk.io.FileBasedSink - Will copy temporary file > FileResult{tempFilename=/Users/taol/data/output/.temp-beam-819dbd7c-b9f7-4c8c-9d8b-20091d2eef94/010abb5e-92b0-4e95-a85d-30984e769fe2, > shard=2, window=[2020-11-24T01:33:59.000Z..2020-11-24T01:34:00.000Z), > paneInfo=PaneInfo{isFirst=true, isLast=true, timing=ON_TIME, index=0, > onTimeIndex=0}} to final location > /Users/taol/data/output/output-2020-11-24T01:33:59.000Z-2020-11-24T01:34:00.000Z-00002-of-00010.parquet > [FileIO.Write/WriteFiles/GatherTempFileResults/Reshuffle.ViaRandomKey/Values/Values/Map/ParMultiDo(Anonymous) > -> > FileIO.Write/WriteFiles/FinalizeTempFileBundles/Finalize/ParMultiDo(Finalize) > -> > FileIO.Write/WriteFiles/FinalizeTempFileBundles/Reshuffle.ViaRandomKey/Pair > with random key/ParMultiDo(AssignShard) (9/12)] INFO > org.apache.beam.sdk.io.FileBasedSink - Will remove known temporary file > /Users/taol/data/output/.temp-beam-819dbd7c-b9f7-4c8c-9d8b-20091d2eef94/010abb5e-92b0-4e95-a85d-30984e769fe2 -- This message was sent by Atlassian Jira (v8.20.7#820007)