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https://issues.apache.org/jira/browse/SPARK-22217?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16194791#comment-16194791
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Apache Spark commented on SPARK-22217:
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User 'steveloughran' has created a pull request for this issue:
https://github.com/apache/spark/pull/19448
> ParquetFileFormat to support arbitrary OutputCommitters
> -------------------------------------------------------
>
> Key: SPARK-22217
> URL: https://issues.apache.org/jira/browse/SPARK-22217
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.2.0
> Reporter: Steve Loughran
>
> Although you can choose which committer to write dataframes as parquet data
> via {{spark.sql.parquet.output.committer.class}}, you get a class cast
> exception if this is not a
> {{org.apache.parquet.hadoop.ParquetOutputCommitter}} or subclass.
> This is not consistent with the docs in SQLConf, which says
> bq. The specified class needs to be a subclass of
> org.apache.hadoop.mapreduce.OutputCommitter. Typically, it's also a subclass
> of org.apache.parquet.hadoop.ParquetOutputCommitter.
> It is simple to relax {{ParquetFileFormat}}'s requirements, though if the
> user has set
> {{parquet.enable.summary-metadata=true}}, and set a committer which is not a
> ParquetOutputCommitter, then they won't see the data.
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