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But I am trapped by the method that without using cursor to achieve it. I have another table B containg 10,000 records of incremented and edited records of A table. I am using the following codes to append data from B to A. Normally, I would try to use a single sql statment -- here, due to the "data being spread all over the place", and being distributed and all. We have a 2 CPU machine where at normal times, the topmost entry in top command shows only .2 or .3 percentage of CPU use. This is on a test database where nothing else is going on concurrently.

There are one column in each table, call id, to link them. --For incremental/New data----- insert into A select * from B where column_name NOT IN (select column_name from B); --For Edited Data------- cursore C_AB select * from B minus select * from A For R in C_AB loop Update A set....where ... this shows how I would approach getting the first two columns -- just add the other 2 and use merge to keep filling temp -- and then update the join: [email protected] -1 5 group by urefitem ) b 6 on (temp.urefitem = b.urefitem) 7 when matched then update set amount = b.sum_total 8 when not matched then insert (urefitem,amount) values ( b.urefitem, b.sum_total) 9 / 398 rows merged. using a cursor means you are back to "slow=very_true" you already WERE updating on a bulk basis??? But when I run the following query, it takes up 50% of CPU. tab A has these columns: id, cycle, pop tab B has these columns: id, cycle, site_id,rel_cd,groupid update tab A a set pop= (select count(*) from tab B b where b.id=and a.cycle = b.cycle and b.site_id=44 and b.rel_cd in('code1','code2','code3') and b.groupid='123') where pop is null and id in(select id from tab B); call count cpu elapsed disk query current rows ------- ------ -------- ---------- ---------- ---------- ---------- ---------- Parse 1 0.00 0.00 0 0 0 0 Execute 2 496.35 499.54 7530955 9902630 76532 11444 Fetch 0 0.00 0.00 0 0 0 0 ------- ------ -------- ---------- ---------- ---------- ---------- ---------- total 3 496.35 499.54 7530955 9902630 76532 11444 Misses in library cache during parse: 0 Optimizer goal: CHOOSE Parsing user id: 305 Rows Row Source Operation ------- --------------------------------------------------- 1 UPDATE tab A 11445 MERGE JOIN 5942 VIEW VW_NSO_1 5942 SORT UNIQUE 31227 TABLE ACCESS FULL tab B 17385 SORT JOIN 12601 TABLE ACCESS FULL tab A Now my questions are: 1. We have several such updates that creates the same problems on the server from time to time and I would appreciate some guidance to resolve this.

You use an update query when you have to update or change existing data in a set of records.

You cannot use an update query to add new records to a database, or to delete entire records from a database.

To add new records to a database you use an append query, and to delete whole records from a database you use a delete query.

Note: You cannot run an update query in a Web browser.

If you want to run an update query in an Access Web database, you must first open the database by using Access. If you are using an Access web app, you can use data macros to update or change existing data in a set of records.

As a best practice, there are two main steps that you must follow to create and run an update query: create a select query that identifies the records that you want to update, and then convert that query to an update query that you can run to update the records.

But the 2nd Where clause simply return the message of `more than one row is return', since the id is unpredictable and this create a `many to many' relationship in both tables. Many Thanks, (script) REM* the where-clause of the update cannot work UPDATE table b SET column_b1 = ( SELECT MAX(column_a1) FROM table_a a, table_b b WHERE a.id=GROUP BY a.id) WHERE table_IN (SELECT MIN(id) FROM table_a GROUP BY id); Your example is somewhat confusing -- you ask "update column a1 in table a where data in column b1 in table b" but your update shows you updating column b1 in table B with some data from table a. Every month the client office is to give data(NEW & EDITED) "BY DATE RANGWISE" to the headoffice in CD. Now, you "two step" it: insert into gtt select b.id, count(*) cnt from tabb b, taba a where = and a.cycle = b.cycle and b.site_id = 44 and b.rel_cd in ( 'code1', 'code2', 'code3' ) and b.groupid = '123' and is null group by / that gets all of the id/cnts for only the rows of interest.

NET 2002/2003 section of the Wrox Programmer to Programmer discussions.

Registration is fast, simple and absolutely free i have two table Student Account Table and billmonthly studentaccounttable contain Student Id Namefield Class Roll Balance Amount 1001 abc 2 3 2500.00 1002 Dbc 3 3 3500.00 here studentid is primary key in billmonthly Student ID Total amount 10 1500 Here Student Id Also Primary Key now i wann update studentaccounttable (Balance Amount) at once from Billmonthly (Total Amount) for this i make query on sql UPDATE Student Account Table SET Balance Amount = Student Account Table. Tota l FROM Student Account Table, bill Monthly WHERE Student Account Table.

My task is to fill all the data in that column from table B to table A with corresponding ids.

This article describes how to create and run an update query in an Access desktop database.

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