[
https://issues.apache.org/jira/browse/SPARK-15463?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15299881#comment-15299881
]
PJ Fanning edited comment on SPARK-15463 at 5/25/16 11:09 AM:
--------------------------------------------------------------
Dataset[String] to DataFrame conversion seems fine to me. Would it make sense
to change sqlContext.read.json(rdd: RDD[String]) to sqlContext.read.json(ds:
Dataset[String]) too?
https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala
was (Author: pj.fanning):
Dataset[String] to DataFrame conversion seems fine to me
> 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].
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
