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

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-13623?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-13623:
---------------------------------
    Labels: bulk-closed  (was: )

> 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
>              Labels: bulk-closed
>
> 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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