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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2017/03/24 01:23:41 UTC

[jira] [Commented] (SPARK-19641) JSON schema inference in DROPMALFORMED mode produces incorrect schema

    [ https://issues.apache.org/jira/browse/SPARK-19641?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15939530#comment-15939530 ] 

Hyukjin Kwon commented on SPARK-19641:
--------------------------------------

[~NathanHowell], I just happened to revisit this. Are you going to open a PR with the change?

> JSON schema inference in DROPMALFORMED mode produces incorrect schema
> ---------------------------------------------------------------------
>
>                 Key: SPARK-19641
>                 URL: https://issues.apache.org/jira/browse/SPARK-19641
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.1.0
>            Reporter: Nathan Howell
>
> In {{DROPMALFORMED}} mode the inferred schema may incorrectly contain no columns. This occurs when one document contains a valid JSON value (such as a string or number) and the other documents contain objects or arrays.
> When the default case in {{JsonInferSchema.compatibleRootType}} is reached when merging a {{StringType}} and a {{StructType}} the resulting type will be a {{StringType}}, which is then discarded because a {{StructType}} is expected.



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