[
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
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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