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From "Wenchen Fan (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-15463) Support for creating a dataframe from CSV in Dataset[String]
Date Wed, 08 Mar 2017 21:43:38 GMT

     [ https://issues.apache.org/jira/browse/SPARK-15463?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Wenchen Fan resolved SPARK-15463.
---------------------------------
       Resolution: Fixed
    Fix Version/s: 2.2.0

Issue resolved by pull request 16854
[https://github.com/apache/spark/pull/16854]

> Support for creating a dataframe from CSV in Dataset[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
>             Fix For: 2.2.0
>
>
> 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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