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

["Cheng Hao (JIRA)" <ji...@apache.org>]

Cheng Hao created SPARK-4856:
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             Summary: 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:
{panel}
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)
{panel}

As empty string will be considered as String in the beginning (in line 2 and 3), it ignores the real nested data type (struct type in line 1), and also take the line 1 (the "headers") as String Type.



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