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Posted to issues@spark.apache.org by "Xin Wu (JIRA)" <ji...@apache.org> on 2017/01/26 07:02:24 UTC

[jira] [Closed] (SPARK-15463) Support for creating a dataframe from CSV in Dataset[String]

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

Xin Wu closed SPARK-15463.
--------------------------
    Resolution: Later

> 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
>
> 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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