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Posted to issues@spark.apache.org by "Ximo Guanter (JIRA)" <ji...@apache.org> on 2018/11/24 16:22:00 UTC

[jira] [Created] (SPARK-26160) Make assertNotBucketed call in DataFrameWriter::save optional

Ximo Guanter created SPARK-26160:
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             Summary: Make assertNotBucketed call in DataFrameWriter::save optional
                 Key: SPARK-26160
                 URL: https://issues.apache.org/jira/browse/SPARK-26160
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 2.4.0
            Reporter: Ximo Guanter


Currently, the `.save` method in DataFrameWriter will fail if the dataframe is bucketed and/or sorted. This makes sense, since there is no way of storing metadata in the current file-based data sources to know whether a file was bucketed or not.

I have a use case where I would like to implement a new, file-based data source which could keep track of that kind of metadata, so I would like to be able to `.save` bucketed dataframes.

 

 Would a patch to extend the datasource api with an indicator of whether that source is able to serialize bucketed dataframes be a welcome addition? I'm happy to work on it.



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