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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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