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Posted to issues@spark.apache.org by "Xin Wu (JIRA)" <ji...@apache.org> on 2016/05/24 23:45:12 UTC
[jira] [Commented] (SPARK-15463) Support for creating a dataframe
from CSV in RDD[String]
[ 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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