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); 14 rows created. / 28 rows created. / 56 rows created. COMMIT; Commit complete. SELECT COUNT(1) FROM dept_emp_names; COUNT(1) ---------112 1 row selected. The examples work as follows: In the first example, the subquery joining employees and departments creates a set that is inserted into the table. As the subquery was properly formed and executed, the rows in the table are the same as the rows from the query executed in Listing 6-2. The second example reads rows from the table and then inserts the same rows, effectively doubling the number of rows in the table every time the INSERT statement is executed. In this case, you do not need to specify the columns as the source and target of the insert is the same table and columns cannot be changed during the query and insert.
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6.2 The UPDATE Command
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You can change column values of existing rows in your tables with the UPDATE command. As shown in the syntax diagram in Figure 6-2, the UPDATE command has three main components: UPDATE ...: The table you want to update SET ...: The change you want to apply WHERE ...: The rows to which you want to apply the change
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Figure 6-2. UPDATE command syntax diagram If you omit the optional WHERE clause, the change is applied to all rows of the table. This illustrates the fact that the UPDATE command operates at the table level, so you need the WHERE clause as the relational restriction operator to limit the scope of the UPDATE command to a subset of the table. As you can see from Figure 6-2, the SET clause offers two alternatives: You can specify a comma-separated list of single column changes. With this approach, you can use the DEFAULT keyword as an expression. This allows you to change column default values in the data dictionary at any point in time without the need to change the UPDATE commands in your applications. You can drive the change with a subquery. The subquery must provide the right number of values for the list of column names specified between the parentheses. Of course, the datatypes should also match, or the Oracle DBMS should at least be able to convert values to the appropriate datatypes on the fly.
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The first approach is illustrated in Example 1 in Listing 6-4, and the second approach is shown in Examples 2 and 3. Listing 6-4. UPDATE Command Examples update set , , , where employees job = 'SALESREP' msal = msal - 500 comm = 0 deptno = 30 empno = 7876; -- Example 1
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1 row updated. rollback; Rollback complete. UPDATE employees -- Example 2 SET deptno = (SELECT deptno FROM departments WHERE location = 'BOSTON') WHERE empno = 7900;
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1 row updated. rollback; Rollback complete. UPDATE employees -- Example 3 SET (deptno,mgr) = (SELECT deptno,mgr FROM departments WHERE location = 'BOSTON') WHERE empno = 7900; 1 row updated. rollback; Rollback complete. The examples work as follows: In the first example, the employee with empno of 7876 has their job, msal, comm and deptno updated with new values. In the case of msal, the new value is based on the current (pre-UPDATE) value of the column. The second example uses a subquery to determine the value of deptno. For an UPDATE, this subquery can return one and only one row. This type of subquery is called a scalar subquery and is addressed in more detail in 9. The third example also uses a subquery to determine the value of deptno and mgr. Instead of having two different subqueries for deptno and mgr, you can use a scalar subquery that returns multiple columns. The number, datatypes, and order of the subquery columns must match the columns that are being updated.
As with the INSERT examples in Listing 6-1, in both of these listings, we use the ROLLBACK command to undo any changes made. A subquery can also be used to filter the records being updated. Instead of using a literal value, such as DEPTNO = 20, a subquery can be used so that the update can be driven by data in a table. Listing 6-5 applies a subquery to the task of determining the department number. Listing 6-5. UPDATE Command Examples Using WHERE subquery UPDATE employees e -- Example 2 SET e.msal = e.msal * 1.1 WHERE e.deptno IN (SELECT d.deptno FROM departments d WHERE d.location = 'DALLAS' ); 5 rows updated. rollback; Rollback complete.
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