Ewan Leith created SPARK-13623: ---------------------------------- 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org