[jira] [Reopened] (SPARK-29004) DataFrameWriter.save does not work with bucketBy [and sortBy]

["Pavel Parkhomenko (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-29004?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Pavel Parkhomenko reopened SPARK-29004:
---------------------------------------

It is not mentioned in documentation that I should use only saveAsTable. Moreover, there is written:
_This is applicable for all file-based data sources (e.g. Parquet, JSON) starting with Spark 2.1.0. _

Also
_If specified, the output is laid out on the file system similar to Hive's bucketing scheme._

"similar to Hive" does not mean "Hive only".

If it is Hive only feature, please, mention it in the documentation. Or fix it for all saves.

Thank you.

> 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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