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https://issues.apache.org/jira/browse/SPARK-44512?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17785356#comment-17785356
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Yiu-Chung Lee edited comment on SPARK-44512 at 11/13/23 3:34 AM:
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[~dongjoon] As I mentioned before, I need to preserve the sorting order by _1
(but _1 is not part of the output) before writing into file. If partitionBy
does not have such contract what would be your recommendation?
was (Author: JIRAUSER301473):
[~dongjoon] As I mentioned before, I need to preserve the sorting order by _1
before writing into file. If partitionBy does not have such contract what would
be your recommendation?
> dataset.sort.select.write.partitionBy sorts wrong column
> --------------------------------------------------------
>
> Key: SPARK-44512
> URL: https://issues.apache.org/jira/browse/SPARK-44512
> Project: Spark
> Issue Type: Bug
> Components: Optimizer, SQL
> Affects Versions: 3.4.1
> Reporter: Yiu-Chung Lee
> Priority: Blocker
> Attachments: Test-Details-for-Query-0.png,
> Test-Details-for-Query-1.png
>
>
> (In this example the dataset is of type Tuple3, and the columns are named _1,
> _2 and _3)
>
> I found -then when AQE is enabled,- that the following code does not produce
> sorted output (.drop() also have the same problem), unless
> spark.sql.optimizer.plannedWrite.enabled is set to false.
> After further investigation, spark actually sorted wrong column in the
> following code.
> {{dataset.sort("_1")}}
> {{.select("_2", "_3")}}
> {{.write()}}
> {{.partitionBy("_2")}}
> {{.text("output");}}
>
> (the following workaround is no longer necessary)
> -However, if I insert an identity mapper between select and write, the output
> would be sorted as expected.-
> -{{dataset = dataset.sort("_1")}}-
> -{{.select("_2", "_3");}}-
> -{{dataset.map((MapFunction<Row, Row>) row -> row, dataset.encoder())}}-
> -{{.write()}}-
> -{{{}.{}}}{{{}partitionBy("_2"){}}}-
> -{{.text("output")}}-
> Below is the complete code that reproduces the problem.
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