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https://issues.apache.org/jira/browse/SPARK-17969?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17969:
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    Assignee: Apache Spark

> I think it's user unfriendly to process standard json file with DataFrame 
> --------------------------------------------------------------------------
>
>                 Key: SPARK-17969
>                 URL: https://issues.apache.org/jira/browse/SPARK-17969
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>    Affects Versions: 2.0.1
>            Reporter: Jianfei Wang
>            Assignee: Apache Spark
>            Priority: Minor
>
> Currently, with DataFrame API,  we can't load standard json file directly, 
> maybe we can provide an override method to process this, the logic is as 
> below:
> ```
> val df = spark.sparkContext.wholeTextFiles("data/test.json") 
>  val json_rdd = df.map( x => x.toString.replaceAll("\\s+","")).map{ x => 
>       val index = x.indexOf(',') 
>       x.substring(index + 1, x.length - 1) 
>     } 
>     val json_df = spark.read.json(json_rdd) 
> ```



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