Updating a select statement to update

from sql.unitedstates; 114000 North America 14FEB1912 Arkansas Little Rock 2447996 53200 North America 15JUN1836 California Sacramento 31518948 163700 North America 09SEP1850 Colorado Denver 3601298 104100 North America 01AUG1876 Connecticut Hartford 5500 North America 09JAN1788 Delaware Dover 707232 2500 North America 07DEC1787 District of Colum Washington 612907 100 North America 21FEB1871 Florida Tallahassee 13814408 65800 North America 03MAR1845 The UPDATE statement updates values in the SQL. The WHERE clause ensures that only the rows in SQL. NEWPOP are updated, by checking each value of Name against the list of state names that is returned from the in-line view. Population Data state Population ----------------------------------------------- Texas 20,851,820 Georgia 8,186,453 Washington 5,894,121 Arizona 5,130,632 Alabama 4,447,100 Oklahoma 3,450,654 Connecticut 3,405,565 Iowa 2,926,324 West Virginia 1,808,344 Idaho 1,293,953 Maine 1,274,923 New Hampshire 1,235,786 North Dakota 642,200 Alaska 626,932 proc sql; title 'UNITEDSTATES'; update sql.unitedstates as u set population=(select population from sql.newpop as n where u.name=n.state) where in (select state from sql.newpop); select Name format=., Capital format=., Population, Area, Continent format=., Statehood format=date9. UNITEDSTATES table, the in-line view in the SET clause returns a single value. NEWPOP, this value is the value of the Population column from SQL. For rows that do not have a corresponding row in SQL. In both cases, the returned value is assigned to the Population column.Additionally if you forget the WHERE clause altogether, you will update the entire table when you might not intend to.Here is an example where I specified the WHERE clause incorrectly and I updated too many rows: Here I updated Toy Name on two rows, the “Silver Magic” and the “Super Surfer” Toyname rows.UPDATE dest_tab tt SET (tt.code, tt.description) = (SELECT st.code, st.description FROM source_tab st WHERE = tt.id) WHERE EXISTS (SELECT 1 FROM source_tab WHERE id = tt.id); 5000 rows updated.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.

I can update multiple columns with a single UPDATE statement.There may be times when you don’t want to manually write a bunch of UPDATE statements with different literal strings to update your table.Suppose I wanted to change all the prices of my Toys with a single UPDATE statement.If you are not exactly sure what rows will be returned by your WHERE clause of an UPDATE statement, it best to take some precautions prior to executing your UPDATE statement.What I like to do is to first execute a SELECT statement that contains the I plan to use in my WHERE clause of my UPDATE statement.

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