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https://issues.apache.org/jira/browse/SPARK-4856?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14247571#comment-14247571
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Apache Spark commented on SPARK-4856:
-------------------------------------
User 'chenghao-intel' has created a pull request for this issue:
https://github.com/apache/spark/pull/3708
> Null & empty string should not be considered as StringType at begining in
> Json schema inferring
> -----------------------------------------------------------------------------------------------
>
> Key: SPARK-4856
> URL: https://issues.apache.org/jira/browse/SPARK-4856
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Cheng Hao
>
> We have data like:
> {code:java}
> TestSQLContext.sparkContext.parallelize(
>
> """{"ip":"27.31.100.29","headers":{"Host":"1.abc.com","Charset":"UTF-8"}}"""
> ::
> """{"ip":"27.31.100.29","headers":{}}""" ::
> """{"ip":"27.31.100.29","headers":""}""" :: Nil)
> {code:xml}
> As empty string (the "headers") will be considered as String in the beginning
> (in line 2 and 3), it ignores the real nested data type (struct type
> "headers" in line 1), and also take the line 1 (the "headers") as String
> Type, which is not our expected.
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