[jira] [Created] (SPARK-13623) Relaxed mode for querying Dataframes, so columns that don't exist or have an incompatible schema return null rather than error

["Ewan Leith (JIRA)" <ji...@apache.org>]

Ewan Leith created SPARK-13623:
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             Summary: Relaxed mode for querying Dataframes, so columns that don't exist or have an incompatible schema return null rather than error
                 Key: SPARK-13623
                 URL: https://issues.apache.org/jira/browse/SPARK-13623
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 1.6.0
            Reporter: Ewan Leith
            Priority: Minor


Currently when querying a dataframe, if one record of many from a select statement is missing or has an invalid schema, then an error is raised such as:

{{org.apache.spark.sql.AnalysisException: cannot resolve 'data.stuff.onetype' due to data type mismatch: argument 2 requires integral type, however, 'onetype' is of string type.;}}

Ideally, when doing ad-hoc querying of data, there would be an option for a relaxed mode where any missing or incompatible records in the selected columns are returned as a {{null}} instead of an error being raised for the whole set of data.




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