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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/03/31 05:54:41 UTC

[jira] [Assigned] (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:all-tabpanel ]

Apache Spark reassigned SPARK-19641:
------------------------------------

    Assignee: Apache Spark

> 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
>            Assignee: Apache Spark
>
> 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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