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https://issues.apache.org/jira/browse/SPARK-42750?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17700509#comment-17700509
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Xinsen commented on SPARK-42750:
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May I solve it? I'm interested in this. And by the way, does it just include
inserting into hive table and hdfs file, or it includes jdbc tables like MySQL
table?
> 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
> Priority: Major
>
> 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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