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https://issues.apache.org/jira/browse/SPARK-15463?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon reopened SPARK-15463:
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I am reopening this as I feel we need this per the issues
https://github.com/databricks/spark-csv/issues/62
https://github.com/databricks/spark-csv/issues/264
https://github.com/databricks/spark-csv/issues/329
https://github.com/databricks/spark-csv/issues/245
https://github.com/databricks/spark-csv/issues/295
https://github.com/databricks/spark-csv/issues/321
https://github.com/databricks/spark-csv/issues/399
which are loosely or tightly related with this feature in spark-csv.
There are loosely or tightly related and similar questions/issues in spark-xml
too for example as below:
https://github.com/databricks/spark-xml/issues/114
https://github.com/databricks/spark-xml/issues/131
https://github.com/databricks/spark-xml/issues/127
https://github.com/databricks/spark-xml/issues/162
https://github.com/databricks/spark-xml/issues/213
> 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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