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Posted to issues@spark.apache.org by "Steve Loughran (JIRA)" <ji...@apache.org> on 2017/10/06 15:57:00 UTC
[jira] [Updated] (SPARK-22217) ParquetFileFormat to support
arbitrary OutputCommitters
[ https://issues.apache.org/jira/browse/SPARK-22217?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Steve Loughran updated SPARK-22217:
-----------------------------------
Summary: ParquetFileFormat to support arbitrary OutputCommitters (was: ParquetFileFormat to support arbitrary OutputCommitters if parquet.enable.summary-metadata is false)
> 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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