Updating primary key db2


Check in frequently for tips, tricks, commentary and ideas on SQL Server and . Subscribe These can be very complicated and sometimes polarizing things to debate.As I often try to do, I will attempt to approach this topic from a slightly different perspective.You need to use the same number of expressions on both sides of the comparison, when using multiple operands in a comparison. DB2 10.5 APAR Fix list contains list of APARs shipped for each fix pack in DB2 Version 10.5 for Linux, UNIX and Windows products.In this article, I will show you, by way of working examples, how to retrieve useful information from the DB2 UDB system catalog.

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Additionally -- given the way the where and set clauses are CODED in the above -- it would succeed. The Headoffice is merge the data into their system. For migration data first of all i create another temporary user named VISTEMP then cotinuing this kinds of code insert into VISTEMP. Now we can update the join: update ( select a.pop, from taba a, gtt b where = ) set pop = cnt / and thats it. Hi Tom, I’m selecting approximately 1 million records from some tables and populating another set of tables.The values contained in the column or columns that make up the primary key serve to identify each of those rows.For example, a primary key is often made up of a single column.The query would in fact execute without any error messages since the correlated subquery in SET clause returns EXACTLY one row for each row in B and the where clause executes without error. Lets say you have a table A ( id int, a1 varchar2(25) ) and a table B ( id int PRIMARY KEY, b1 varchar2(25) ). REGISTRATION(BIN, NAME, NAME_ALIAS, COR_GROUP, AUTHOBY, AUTHODATE, CG_NAME, ADD1, ADD2, ADD3, TEL1, FAX1, ADD5, ADD6, ADD7, TEL2, FAX2, ADD9, ADD10, ADD11, TEL3, FAX3, TP_TYPE, TRD_LINC, TRD_FY, TRD_AUTH, IMP_REG, EXP_REG, REG_TYPE, TIN, STATUS, PRE_BIN, DATREG, STAT_CHNG, ACT_CODE, ACT_MULT, ITEM_TYPE, OLD_ACT, APP_CAT, LCODE, ISSUE_DATE, VREG, M_POSI, MFUNC, SFUNC, LAST_USER, LAST_ACCS, TREG, PAY_FREQ, CREG, EREG, OREG, OP_BAL, OP_BAL_DT) select BIN, NAME---- from VIS. Thank u very much for ur kind & very helpful reply. Here the source tables have data with leading spaces and the target data should be without spaces.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.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.

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