[jira] [Assigned] (BEAM-10100) FileIO writeDynamic with AvroIO.sink not writing all data

["Ismaël Mejía (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-10100?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ismaël Mejía reassigned BEAM-10100:
-----------------------------------

    Assignee:     (was: Aizhamal Nurmamat kyzy)

> FileIO writeDynamic with AvroIO.sink not writing all data
> ---------------------------------------------------------
>
>                 Key: BEAM-10100
>                 URL: https://issues.apache.org/jira/browse/BEAM-10100
>             Project: Beam
>          Issue Type: Bug
>          Components: beam-community
>    Affects Versions: 2.17.0, 2.20.0
>         Environment: Mac OSX Catalina, tested with SparkRunner - Spark 2.4.5.
>            Reporter: Dave Martin
>            Priority: P2
>              Labels: AVRO, IO, Spark
>
> FileIO writeDynamic with AvroIO.sink is not writing all data in the following pipeline. The amount of data written varies between runs but it is consistently dropping records. This is with a very small test dataset - 6 records, which should produce 3 directories.
> {code:java}
> Pipeline p = Pipeline.create(options);
> PCollection<KV<String, AvroRecord>> records = p.apply(TextIO.read().from("/tmp/input.csv"))
> .apply(ParDo.of(new StringToDatasetIDAvroRecordFcn()));
> //write out into AVRO in each separate directory
> records.apply("Write avro file per dataset", FileIO.<String, KV<String, AvroRecord>>writeDynamic()
>   .by(KV::getKey)
>   .via(Contextful.fn(KV::getValue), Contextful.fn(x -> AvroIO.sink(AvroRecord.class).withCodec(BASE_CODEC)))
>   .to(options.getTargetPath())
>   .withDestinationCoder(StringUtf8Coder.of())
>   .withNaming(key -> defaultNaming(key + "/export", PipelinesVariables.Pipeline.AVRO_EXTENSION)));
> p.run().waitUntilFinish();
> {code}
> If i replace AvroIO.sink() with TextIO.sink() (and replace the initial mapping function) then the correct number of records are written to the separate directories. This is working consistently.
> e.g.
> {code:java}
> // Initialise pipeline
> Pipeline p = Pipeline.create(options);
> PCollection<KV<String, String>> records = p.apply(TextIO.read().from("/tmp/input.csv")).apply(ParDo.of(new StringToDatasetIDKVFcn()));
> //write out into AVRO in each separate directory
> records.apply("Write CSV file per dataset", FileIO.<String, KV<String, String>>writeDynamic()
>     .by(KV::getKey)
>     .via(Contextful.fn(KV::getValue), TextIO.sink())
>     .to(options.getTargetPath())
>     .withDestinationCoder(StringUtf8Coder.of())
>     .withNaming(datasetID -> defaultNaming(key + "/export", ".csv"));
>  p.run().waitUntilFinish();
> {code}
> cc [~timrobertson100]



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