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https://issues.apache.org/jira/browse/SPARK-12307?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-12307.
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Resolution: Duplicate
I believe we can configure this now, for examples,
https://github.com/apache/spark/blob/74f5c2176d8449e41f520febd38109edaf3f4172/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetIOSuite.scala#L464-L476
and
https://github.com/apache/spark/blob/74f5c2176d8449e41f520febd38109edaf3f4172/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetIOSuite.scala#L518-L544
I am resolving this as a duplicate. Please reopen this if I misunderstood the
issue or I was wrong.
> ParquetFormat options should be exposed through the DataFrameReader/Writer
> options API
> --------------------------------------------------------------------------------------
>
> Key: SPARK-12307
> URL: https://issues.apache.org/jira/browse/SPARK-12307
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: holdenk
> Priority: Trivial
>
> Currently many options for loading/saving Parquet need to be set globally on
> the SparkContext. It would be useful to also provide support for setting
> these options through the DataFrameReader/DataFrameWriter.
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