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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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