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Pl sql updating tables from another table

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I put a primary key on B(id) because if there is NO SUCH constraint -- the update is totally ambigous -- if there is more then 1 value of B1 in B for a given ID -- we cannot tell what row in B should be used to update the row in A. REGISTRATION where BIN NOT IN (select BIN from VIS. Its working very nicely.i will greateful to u forever.i was suffering by this problem for a long i am using the following / insert into VISTEMP. i could envision problems with only a second of granularity on a clock -- you could miss a record or two due to that. d) I don't program forms -- you can try otn.- Thank u very much for ur nice reply. I plan to use RTRIM function in the WHERE clause to get specific set records and then after fetching, I’ll insert with a RTRIM on each column.

Cross table update (also known as correlated update, or multiple table update) in Oracle uses non-standard SQL syntax format (non ANSI standard) to update rows in another table. Update data in table A based on two or more common columns in table B.

SQL ----------------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ----------------------------------------------------------------------------------------------- | 0 | UPDATE STATEMENT | | 4999 | 185K| 30013 (34)| | | 1 | UPDATE | dest_tab | | | | | | 2 | NESTED LOOPS SEMI | | 4999 | 185K| 19 (6)| | | 3 | TABLE ACCESS FULL | dest_tab | 10000 | 332K| 18 (0)| | |* 4 | INDEX UNIQUE SCAN | source_tab_PK | 2500 | 10000 | 0 (0)| | | 5 | TABLE ACCESS BY INDEX ROWID| source_tab | 1 | 43 | 2 (0)| | |* 6 | INDEX UNIQUE SCAN | source_tab_PK | 1 | | 1 (0)| | ----------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 4 - access("ID"="TT"."ID") 6 - access("ST"."ID"=: B1) UPDATE (SELECT tt.id, tt.code, tt.description, AS st_code, st.description AS st_description FROM dest_tab tt, source_tab st WHERE = st.id) ilv SET = ilv.st_code, ilv.description = ilv.st_description; 5000 rows updated.

works fine when I try to update all the records in tbl A, however, in this case I only have missing data which I have identified and populated in tbl B.

You can also perform more complicated updates in Oracle.

You may wish to update records in one table based on values in another table.

Since you can't list more than one table in the Oracle UPDATE statement, you can use the Oracle EXISTS clause.

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.