I have one table A has column (id, field_1,field_2), and another table B has column (id,field_2) Now I want to merge table B to A, that means i want to update field_2 in table A to value of table B. BTW I am using oracle Thanks Now, each time the above is executed, it will do it across all rows in the table.If this is something you need to do all the time, I would suggest something else, but for a one-off or very small tables it should be sufficient.This may seem like a simple question: Update Column a1 in Table A with all data in Column b1 in Table B. I have a table named A containing say 100000 records. HSCODELIST 5 WHERE not exists 6 (SELECT NULL FROM VIStemp. Brao what I suggest then is not to do it in a single sql statement -- just proving that "there are exceptions to every rule". Type ----------------------------------------- -------- ---------------------------- BIN VARCHAR2(10) ACT_SL VARCHAR2(3) ACT_CODE VARCHAR2(11) ACT_VAL NUMBER(14,2) ENTRY_DATE DATE SQL DESC VIS. Type ----------------------------------------- -------- ---------------------------- BIN VARCHAR2(10) ACT_SL VARCHAR2(3) ACT_CODE VARCHAR2(11) ACT_VAL NUMBER(14,2) ENTRY_DATE DATE SQL UPDATE (SELECT DBHSCODELIST. the database needs to know that each row in dbhscodelist will map to AT MOST one row in hscodelist - this mandates a primary or unqiue key constraint on the join columns this is discussed in the original answer above.

Sexcy black camera girls - Updating a table from another table

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

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It is the field which we want to update with the value from the second table.

Following script can be used as for the demonstration – CREATE TABLE [dbo].[T1]( [T1Id] [int] NULL, [T1Name] [varchar](50) NULL, [T1Category] [varchar](50) NULL, [T1Description] [varchar](50) NULL ) ON [PRIMARY] GO SET ANSI_PADDING OFF GO INSERT [dbo].[T1] ([T1Id], [T1Name], [T1Category], [T1Description]) VALUES (1, N'Name1', N'Cat1', N'Desc1') INSERT [dbo].[T1] ([T1Id], [T1Name], [T1Category], [T1Description]) VALUES (2, N'Name2', N'Cat2', N'Desc2') INSERT [dbo].[T1] ([T1Id], [T1Name], [T1Category], [T1Description]) VALUES (3, N'Name3', N'Cat3', N'Desc3') GO CREATE TABLE [dbo].[T2]( [T2Id] [int] NULL, [T2Title] [varchar](50) NULL, [T2Amount] [money] NULL, [T2Category] [varchar](50) NULL, [T2Description] [varchar](50) NULL ) ON [PRIMARY] GO INSERT [dbo].[T2] ([T2Id], [T2Title], [T2Amount], [T2Category], [T2Description]) VALUES (1, N'Title1', 200.0000, N'Cat1', NULL) INSERT [dbo].[T2] ([T2Id], [T2Title], [T2Amount], [T2Category], [T2Description]) VALUES (2, N'Title2', 100.0000, N'Cat2', NULL) INSERT [dbo].[T2] ([T2Id], [T2Title], [T2Amount], [T2Category], [T2Description]) VALUES (3, N'Title3', 400.0000, N'Cat3', NULL) INSERT [dbo].[T2] ([T2Id], [T2Title], [T2Amount], [T2Category], [T2Description]) VALUES (4, N'Title4', 300.0000, N'Cat1', NULL) Using the Code : Now, as we execute the above script we will have two tables as in the figures below- https://suvendugiri." data-medium-file="https://suvendugiri.files.wordpress.com/2012/01/001.png?

Given that, we can: [email protected] select * from a 2 / ID A1 ---------- ------------------------- 1 Hello 2 World The following updates are equivalent as well - they do the same thing differently. REGISTRATION); RUN and Computer in BIG Busy mood(Hang). 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, NAME_ALIAS,---- from VIS. In update portion i am facing another problem by ur recomended code. INSERT into abc values (RTRIM(col1), RTRIM(col2) .) There is another option where I can use SELECT RTRIM(col1), RTRIM(col2) from xxx where RTRIM(col1) = ‘yyy’ and then directly use insert into target table without RTRIM.

It is best to use the above update of a JOIN if possible (optimizer has best chance of getting a good plan). REGISTRATION where not exists (select null from VIStemp. b)in privious question i told u that i am exporting incremental and edited data by using system date. In my B(big table record-79186) and in S(small table record-12871). Can you please tell me which option performs better if the number of records are in millions. I have a table t1 which is having all orders information.

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.

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?

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