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https://issues.apache.org/jira/browse/BEAM-3484?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ismaël Mejía updated BEAM-3484:
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Priority: Minor (was: Blocker)
> HadoopInputFormatIO reads big datasets invalid
> ----------------------------------------------
>
> Key: BEAM-3484
> URL: https://issues.apache.org/jira/browse/BEAM-3484
> Project: Beam
> Issue Type: Bug
> Components: io-java-hadoop
> Affects Versions: 2.3.0, 2.4.0
> Reporter: Łukasz Gajowy
> Assignee: Alexey Romanenko
> Priority: Minor
> Fix For: 2.5.0
>
> Attachments: result_sorted1000000, result_sorted600000
>
>
> For big datasets HadoopInputFormat sometimes skips/duplicates elements from
> database in resulting PCollection. This gives incorrect read result.
> Occurred to me while developing HadoopInputFormatIOIT and running it on
> dataflow. For datasets smaller or equal to 600 000 database rows I wasn't
> able to reproduce the issue. Bug appeared only for bigger sets, eg. 700 000,
> 1 000 000.
> Attachments:
> - text file with sorted HadoopInputFormat.read() result saved using
> TextIO.write().to().withoutSharding(). If you look carefully you'll notice
> duplicates or missing values that should not happen
> - same text file for 600 000 records not having any duplicates and missing
> elements
> - link to a PR with HadoopInputFormatIO integration test that allows to
> reproduce this issue. At the moment of writing, this code is not merged yet.
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