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Posted to issues@spark.apache.org by "Jose Torres (Jira)" <ji...@apache.org> on 2023/03/10 17:14:00 UTC

[jira] [Created] (SPARK-42750) Support INSERT INTO by name

Jose Torres created SPARK-42750:
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             Summary: Support INSERT INTO by name
                 Key: SPARK-42750
                 URL: https://issues.apache.org/jira/browse/SPARK-42750
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 3.4.0
            Reporter: Jose Torres


In some use cases, users have incoming dataframes with fixed column names which might differ from the canonical order. Currently there's no way to handle this easily through the INSERT INTO API - the user has to make sure the columns are in the right order as they would when inserting a tuple. We should add an optional BY NAME clause, such that:

INSERT INTO tgt BY NAME <query>



takes each column of <query> and inserts it into the column in `tgt` which has the same name according to the configured `resolver` logic.



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