[ https://issues.apache.org/jira/browse/SPARK-12307?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-12307. ---------------------------------- 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org