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Posted to issues@ignite.apache.org by "YuJue Li (Jira)" <ji...@apache.org> on 2022/04/26 00:26:00 UTC

[jira] [Comment Edited] (IGNITE-16736) Stress test JDBC Driver: partitionAwareness=true, the execution performance of INSERT statement becomes worse

    [ https://issues.apache.org/jira/browse/IGNITE-16736?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17527817#comment-17527817 ] 

YuJue Li edited comment on IGNITE-16736 at 4/26/22 12:25 AM:
-------------------------------------------------------------

No special test code.
After creating the table, you only need to access the cluster through JMeter and execute the INSERT statement.

INSERT statement is:

INSERT INTO tbl (a,b) VALUES (1,1), (2,2), (3,3)................................;

During the test, the partitionAwareness parameter is true/false respectively.


was (Author: liyuj):
No special test code.
After creating the table, you only need to access the cluster through JMeter and execute the INSERT statement.

INSERT statement is:

INSERT INTO tbl (a,b) VALUES (1,1), (2,2), (3,3)................................;

During the test, the partitionAwareness parameter is true and false respectively.

> Stress test JDBC Driver: partitionAwareness=true, the execution performance of INSERT statement becomes worse
> -------------------------------------------------------------------------------------------------------------
>
>                 Key: IGNITE-16736
>                 URL: https://issues.apache.org/jira/browse/IGNITE-16736
>             Project: Ignite
>          Issue Type: Improvement
>          Components: jdbc
>    Affects Versions: 2.12
>            Reporter: YuJue Li
>            Priority: Major
>         Attachments: partitionAwasome-false.png, partitionAwasome-true.png
>
>
> When use JDBC to perform the stress test of INSERT statement, you will find that the performance will deteriorate after partitionAwareness=true. In other scenarios, such as SQL query or KV read/write, the performance will be greatly improved, which is abnormal.



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