You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Wenchen Fan (JIRA)" <ji...@apache.org> on 2017/03/08 21:43:38 UTC
[jira] [Resolved] (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 ]
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].
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org