[jira] [Commented] (SPARK-4856) Null & empty string should not be considered as StringType at begining in Json schema inferring

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-4856?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14247571#comment-14247571 ] 

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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