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https://issues.apache.org/jira/browse/SPARK-19641?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15939570#comment-15939570
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Hyukjin Kwon commented on SPARK-19641:
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Not sure, just IMHO, it sounds not super urgent one because schema inference is
not recommended in the production up to my knowledge. I think it is fine to
take your time :).
Otherwise, I am willing to pick up your commit and open a PR which should
credit to you if you want.
> 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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