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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2021/09/02 12:07:00 UTC
[jira] [Work logged] (BEAM-12701) Converting two deferred
dataframes to csv in the same pipeline causes a PCollection label
collision
[ https://issues.apache.org/jira/browse/BEAM-12701?focusedWorklogId=645798&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-645798 ]
ASF GitHub Bot logged work on BEAM-12701:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 02/Sep/21 12:06
Start Date: 02/Sep/21 12:06
Worklog Time Spent: 10m
Work Description: Edusanc95 opened a new pull request #15450:
URL: https://github.com/apache/beam/pull/15450
Adds an optional label parameter to `to_csv` method for `DeferredFrame`. Adding the possibility of a custom transform label solves the bug in [BEAM-12701](https://issues.apache.org/jira/browse/BEAM-12701) by giving each csv transformation a different one.
------------------------
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`ValidatesRunner` compliance status (on master branch)
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<th>ULR</th>
<th>Dataflow</th>
<th>Flink</th>
<th>Samza</th>
<th>Spark</th>
<th>Twister2</th>
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<td>Java</td>
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<td>Python</td>
<td>---</td>
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<a href="https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/lastCompletedBuild/">
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<img alt="Build Status" src="https://ci-beam.apache.org/job/beam_PreCommit_Python_PVR_Flink_Cron/lastCompletedBuild/badge/icon?subject=Portable">
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<td>XLang</td>
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</table>
Examples testing status on various runners
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<th>Lang</th>
<th>ULR</th>
<th>Dataflow</th>
<th>Flink</th>
<th>Samza</th>
<th>Spark</th>
<th>Twister2</th>
</tr>
</thead>
<tbody>
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<td>Go</td>
<td>---</td>
<td>---</td>
<td>---</td>
<td>---</td>
<td>---</td>
<td>---</td>
<td>---</td>
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<td>Java</td>
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<a href="https://ci-beam.apache.org/job/beam_PreCommit_Java_Examples_Dataflow_Cron/lastCompletedBuild/">
<img alt="Build Status" src="https://ci-beam.apache.org/job/beam_PreCommit_Java_Examples_Dataflow_Cron/lastCompletedBuild/badge/icon?subject=V1">
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<td>Python</td>
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<td>---</td>
<td>---</td>
<td>---</td>
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<td>XLang</td>
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<td>---</td>
<td>---</td>
<td>---</td>
<td>---</td>
<td>---</td>
<td>---</td>
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</tbody>
</table>
Post-Commit SDK/Transform Integration Tests Status (on master branch)
------------------------------------------------------------------------------------------------
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<th>Go</th>
<th>Java</th>
<th>Python</th>
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<a href="https://ci-beam.apache.org/job/beam_PostCommit_Go/lastCompletedBuild/">
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<a href="https://ci-beam.apache.org/job/beam_PostCommit_Java/lastCompletedBuild/">
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Pre-Commit Tests Status (on master branch)
------------------------------------------------------------------------------------------------
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<th>Java</th>
<th>Python</th>
<th>Go</th>
<th>Website</th>
<th>Whitespace</th>
<th>Typescript</th>
</tr>
</thead>
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<td>Non-portable</td>
<td>
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<td>Portable</td>
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</td>
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</tr>
</tbody>
</table>
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Issue Time Tracking
-------------------
Worklog Id: (was: 645798)
Remaining Estimate: 0h
Time Spent: 10m
> Converting two deferred dataframes to csv in the same pipeline causes a PCollection label collision
> ----------------------------------------------------------------------------------------------------
>
> Key: BEAM-12701
> URL: https://issues.apache.org/jira/browse/BEAM-12701
> Project: Beam
> Issue Type: Bug
> Components: io-py-common
> Affects Versions: 2.31.0
> Reporter: Jérémie Bigras-Dunberry
> Priority: P2
> Time Spent: 10m
> Remaining Estimate: 0h
>
>
> If you use the to_csv of the DeferredDataFrame twice in a single pipeline like this :
> {code:java}
> df1 = pd.DataFrame.from_records({"a":"b"}, index=[0])
> df2 = pd.DataFrame.from_records({"a":"b"}, index=[0])
> with beam.Pipeline() as p:
> df1 = to_dataframe(to_pcollection(df1, pipeline=p), label="df1")
> df2 = to_dataframe(to_pcollection(df2, pipeline=p), label="df2")
> df1.to_csv("test.csv")
> df2.to_csv("test2.csv"){code}
> You get this error on the second to_csv call
>
> {code:java}
> RuntimeError: A transform with label "ToPCollection(df)" already exists in the pipeline. To apply a transform with a specified label write pvalue | "label" >> transform
> {code}
> I think it comes from the fact that to_csv is calling a to_pcollection without any label, causing to infer an identical label for both to_csv function calls.
>
>
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