Pl sql updating tables from another table
Suppose we have two tables Categories and Categories_Test. The common column in the two tables is CATEGORY_ID. Please note that query below is used for illustration purpose because Category_ID alone is primary key.
We are going to update column DESCRIPTION and PICTURE in table Categories_Test by using data in table Categories, based on data in the common column CATEGORY_ID. Update data in a column in table A based on a common column in table B. Update data in two columns in table A based on a common column in table B. Conditionally update data in table A based on a common column in table B. No portion may be reproduced without my written permission.
I am think of the way without using cursor, script as below. I don't understand what's the problem.i am going to give u full overview of my problem. The software is available in different portion of the country for data entry and report generation etc. What about: create global temporary table gtt ( id int primary key, cnt int ) on commit delete rows / you'll add that ONCE, it'll become part of your schema forever....
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.
With this one, I set out to demonstrate the advantages of PARALLEL DML, didn't find what I thought I would, and ended up testing 8 different techniques to find out how they differed. The methods covered include both PL/SQL and SQL approaches.
), how I might cluster rows together that are subject to updates, and what I might do if I just get too many updates to handle. The fastest way to update every row in the table is to rebuild the table from scratch. Case 2 is common in Data Warehouses and overnight batch jobs.
You could create a trigger on table B that updates table A every time field_2 on table B is updated.
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.Compared to traditional travel-based training, SQL saves time and valuable corporate resources, allowing companies to do more with less. What I love about writing SQL Tuning articles is that I very rarely end up publishing the findings I set out to achieve. We have a table containing years worth of data, most of which is static; we are updating selected rows that were recently inserted and are still volatile. For the purposes of the test, we will assume that the target table of the update is arbitrarily large, and we want to avoid things like full-scans and index rebuilds.DECLARE CURSOR c1 IS SELECT * FROM test6; rec_cur c1%rowtype; BEGIN OPEN c1; LOOP FETCH c1 INTO rec_cur; EXIT WHEN c1%notfound; UPDATE test SET fk = rec_, fill = rec_WHERE pk = rec_cur.pk; END LOOP; CLOSE C1; END; / This is the simplest PL/SQL method and very common in hand-coded PL/SQL applications.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.But since the UPDATE has no WHERE clause, it will update all rows, even those where the subquery returns NULL.Tags: Adult Dating, affair dating, sex dating