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https://issues.apache.org/jira/browse/SPARK-17969?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15581357#comment-15581357
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Jianfei Wang edited comment on SPARK-17969 at 10/17/16 6:27 AM:
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I can do this mini job base on some top api, such as
sparkContext.wholeTextFiles without modify some low-level method, is this ok?.
thank you!
was (Author: codlife):
I can do this mini job. thank you!
> 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
> 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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