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https://issues.apache.org/jira/browse/SPARK-29004?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-29004.
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Resolution: Invalid
> DataFrameWriter.save does not work with bucketBy [and sortBy]
> -------------------------------------------------------------
>
> Key: SPARK-29004
> URL: https://issues.apache.org/jira/browse/SPARK-29004
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.4.4
> Reporter: Pavel Parkhomenko
> Priority: Major
>
> bucketBy (and sortBy) does not work in DataFrameWriter at least for JSON
> (seems like it does not work for all file-based data sources) despite the
> documentation:
> {noformat}
> This is applicable for all file-based data sources (e.g. Parquet, JSON)
> starting with Spark 2.1.0.{noformat}
> https://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.sql.DataFrameWriter@bucketBy(numBuckets:Int,colName:String,colNames:String*):org.apache.spark.sql.DataFrameWriter[T]
> Probably the issue is here:
> https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala#L253
> Or the documentation is wrong and bucketBy is not supported for file based
> sources.
>
>
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