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Posted to issues@spark.apache.org by "Nathan Howell (JIRA)" <ji...@apache.org> on 2017/02/17 01:39:41 UTC

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

Nathan Howell created SPARK-19641:
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             Summary: 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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