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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.SET column_name = (subquery3) Assigns the value retrieved from the database by list.The subquery must return exactly one row that includes all the columns listed.Tom, When updating a column with an update-statement, the value of some records (records that don't need to be updated), are changed into the value NULL.

The rules can be sophisticated interdependent calculations.I'll show my preferred method (update a join) and then another method that'll work if you cannot put a unique constraint on LOOKUP(keyname) (which is needed for the join update). WORLD select * from name; KEYNAME COLUMNNAME ---------- ------------------------- 100 Original Data 200 Original Data Here we update a join.We can only modify the columns in one of the tables and the other tables we are *NOT* modifying must be "key preserved" -- that is, we must be able to verify that at most one record will be returned when we join NAME to this other table.Using cursor is ok, but it brings with a un-toleratable speed when operating on a large table. end loop End; It's working but taking a huge time/sometimes hang the computer. [email protected] update ( select upd.purchase_no u_pno, upd.amount u_a, 2 temp.purchase_no t_pno, temp.amount t_a 3 from upd, temp 4 where upd.urefitem = temp.urefitem ) 5 set u_pno = t_pno, u_a = t_a 6 / 635 rows updated. Is this time, 10 minutes for 12000 rows tables an acceptable (expected) time? Thanks Anandhi = b.cycle and b.site_id=44 and b.rel_cd in('code1','code2','code3') and b.groupid='123' 12,000 times?Even the idea create a temporary table holding only primary key and Column b, and then apply cursor to it is slow. Would u please help me how can i faster my procedure.u have given information 9i it same for oracle8i & dev6i.please help me Thank u very much for ur kind update information is really nice and working very insert----same prolem. That means -- just using math here -- that we have 600 seconds, 12,000 queries to run, 12000/60 = 20, so we are doing 20 per second -- or each query is taking 0.05 cpu seconds to run. do anything 12,000 times and you might have a problem tho! this might be one of the rare times that a temp table can be useful.Othercolumn = Other_value); As a result all the necessary changes are made, but also the records that don't need to be updated: they get the Null-value.Is there a way of avoiding this, because we do need to update the records frequently, but not all records at the same time.For example, a table and a trigger can have the same name (however, to avoid confusion, this is not recommended).A trigger is fired based on a triggering statement, which specifies: statement might include a list of columns. Deptno) AS Amp_list_ Emplist FROM Dept_tab d; The statement level triggers are useful for performing validation checks for the entire statement.Triggers can be: Trigger names must be unique with respect to other triggers in the same schema.Trigger names do not need to be unique with respect to other schema objects, such as tables, views, and procedures.The column values returned by the subquery are assigned to the columns in the column list in order. WHERE search_condition Chooses which rows to update in the database table.The first value is assigned to the first column in the list, the second value is assigned to the second column in the list, and so on. Only rows that meet the search condition are updated.Is there a kind of workaround we can use for updating the records that need to be updated without changing the other records too with a Null value?Thanks and greetings, David Boot There are at least 2 ways to perform this sort of co-related update correctly.




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