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From "Xin Wu (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-15463) Support for creating a dataframe from CSV in RDD[String]
Date Tue, 24 May 2016 23:45:12 GMT

    [ https://issues.apache.org/jira/browse/SPARK-15463?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15299167#comment-15299167
] 

Xin Wu commented on SPARK-15463:
--------------------------------

I am looking into this. 

> Support for creating a dataframe from CSV in RDD[String]
> --------------------------------------------------------
>
>                 Key: SPARK-15463
>                 URL: https://issues.apache.org/jira/browse/SPARK-15463
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.0.0
>            Reporter: PJ Fanning
>
> I currently use Databrick's spark-csv lib but some features don't work with Apache Spark
2.0.0-SNAPSHOT. I understand that with the addition of CSV support into spark-sql directly,
that spark-csv won't be modified.
> I currently read some CSV data that has been pre-processed and is in RDD[String] format.
> There is sqlContext.read.json(rdd: RDD[String]) but other formats don't appear to support
the creation of DataFrames based on loading from RDD[String].



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