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https://issues.apache.org/jira/browse/SPARK-20845?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-20845:
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Assignee: (was: Apache Spark)
> Support specification of column names in INSERT INTO
> ----------------------------------------------------
>
> Key: SPARK-20845
> URL: https://issues.apache.org/jira/browse/SPARK-20845
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.0.0
> Reporter: Josh Rosen
> Priority: Minor
>
> Some databases allow you to specify column names when specifying the target
> of an INSERT INTO. For example, in SQLite:
> {code}
> sqlite> CREATE TABLE twocolumn (x INT, y INT); INSERT INTO twocolumn(x, y)
> VALUES (44,51), (NULL,52), (42,53), (45,45)
> ...> ;
> sqlite> select * from twocolumn;
> 44|51
> |52
> 42|53
> 45|45
> {code}
> I have a corpus of existing queries of this form which I would like to run on
> Spark SQL, so I think we should extend our dialect to support this syntax.
> When implementing this, we should make sure to test the following behaviors
> and corner-cases:
> - Number of columns specified is greater than or less than the number of
> columns in the table.
> - Specification of repeated columns.
> - Specification of columns which do not exist in the target table.
> - Permute column order instead of using the default order in the table.
> For each of these, we should check how SQLite behaves and should also compare
> against another database. It looks like T-SQL supports this; see
> https://technet.microsoft.com/en-us/library/dd776381(v=sql.105).aspx under
> the "Inserting data that is not in the same order as the table columns"
> header.
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