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https://issues.apache.org/jira/browse/SPARK-4856?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-4856.
-------------------------------------
Resolution: Fixed
Fix Version/s: 1.3.0
Issue resolved by pull request 3708
[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
> Fix For: 1.3.0
>
>
> We have data like:
> {noformat}
> 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)
> {noformat}
> As empty string (the "headers") will be considered as String, and it ignores
> the real nested data type (struct type "headers" in line 1), and then we will
> get the "headers" (in line 1) as String Type, which is not our expectation.
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