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https://issues.apache.org/jira/browse/SPARK-42750?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-42750:
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Labels: pull-request-available (was: )
> Support INSERT INTO by name
> ---------------------------
>
> Key: SPARK-42750
> URL: https://issues.apache.org/jira/browse/SPARK-42750
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 3.4.0
> Reporter: Jose Torres
> Assignee: Jia Fan
> Priority: Major
> Labels: pull-request-available
> Fix For: 3.5.0
>
>
> 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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