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https://issues.apache.org/jira/browse/SPARK-2883?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14603187#comment-14603187
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Yin Huai commented on SPARK-2883:
---------------------------------
You can use DataFrameWriter
(https://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.sql.DataFrameWriter)
and DataFrameReader
(https://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.sql.DataFrameReader)
interfaces.
{code}
dataFrame.write.format("orc").save("...")
sqlContext.read.format("orc").load("...")
{code}
> Spark Support for ORCFile format
> --------------------------------
>
> Key: SPARK-2883
> URL: https://issues.apache.org/jira/browse/SPARK-2883
> Project: Spark
> Issue Type: New Feature
> Components: Input/Output, SQL
> Reporter: Zhan Zhang
> Assignee: Zhan Zhang
> Priority: Critical
> Fix For: 1.4.0
>
> Attachments: 2014-09-12 07.05.24 pm Spark UI.png, 2014-09-12 07.07.19
> pm jobtracker.png, orc.diff
>
>
> Verify the support of OrcInputFormat in spark, fix issues if exists and add
> documentation of its usage.
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