|
Archives of the TeradataForumMessage Posted: Mon, 05 Nov 2007 @ 15:39:34 GMT
<-- Anonymously Posted: Mon, 5 Nov 2007 10:36 --> Hi All, I am inserting and deletiing certain rows in a table using Multload. Since the table data is highly skewed the Mload delete step is taking more than 9 hrs to complete. My target table has non-unique pirmary index. It is not possible to change the PI of the table. Though I noticed that if I change the PI from 2 to 3 columns the table becomes failry distributed on all the amps using the query *Select * hashamp(hashbucket(hashrow( NAME, ORIGIN, HO_NO))) ,*Count*(*) *From * MCKSG03_RESP *Group By* 1; So if change the PI from (NAME, ORIGIN) to (NAME, ORIGIN, HO_NO) the distribution of the rows is fairly even. But I cannot change the PI of the table. If I define a non-unique secondary index on (NAME, ORIGIN, HO_NO) will my mload performance improve. Is there any other way I can improve the performane of my Mload?
| ||||||||||||||||||||||||||||||||||||||||||||||||
| ||||||||||||||||||||||||||||||||||||||||||||||||
Copyright 2016 - All Rights Reserved | ||||||||||||||||||||||||||||||||||||||||||||||||
Last Modified: 15 Jun 2023 | ||||||||||||||||||||||||||||||||||||||||||||||||