[ 
https://issues.apache.org/jira/browse/SPARK-46511?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

melin updated SPARK-46511:
--------------------------
    Description: 
[https://brian.pontarelli.com/2011/06/21/jdbc-batch-vs-multi-row-inserts/]

mysql, pg、Oracle 23c, sqlserver support:

INSERT INTO table_name (column1, column2, column3)
VALUES (value1, value2, value3),
(value4, value5, value6),
(value7, value8, value9);
 

  was:
[https://brian.pontarelli.com/2011/06/21/jdbc-batch-vs-multi-row-inserts/]

mysql, pg、Oracle 23c, sqlserver support:

INSERT INTO table_name (column1, column2, column3)
VALUES (value1, value2, value3),
(value4, value5, value6),
(value7, value8, value9);


> Optimize spark jdbc write speed with Multi-Row Inserts
> ------------------------------------------------------
>
>                 Key: SPARK-46511
>                 URL: https://issues.apache.org/jira/browse/SPARK-46511
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>    Affects Versions: 4.0.0
>            Reporter: melin
>            Priority: Major
>
> [https://brian.pontarelli.com/2011/06/21/jdbc-batch-vs-multi-row-inserts/]
> mysql, pg、Oracle 23c, sqlserver support:
> INSERT INTO table_name (column1, column2, column3)
> VALUES (value1, value2, value3),
> (value4, value5, value6),
> (value7, value8, value9);
>  



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