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else if rel_b has data write NULLS for rel_a fi else if type is LEFT if join column values match join conditions write attribute data from rel_a to client else if rel_a has data write NULLS for rel_a fi else if type is RIGHT if join column values match join conditions write attribute data from rel_b to client else if rel_b has data write NULLS for rel_a fi fi check rewind conditions while not end_of_rel_a and not end_of_rel_b end Next, we discuss examples of each of the types of outer joins. Left Outer Join Left outer joins are those that include all rows from the left table concatenated with rows from the right table. For those rows that do not match the join condition, null values are returned for the columns from the right table. SELECT staff.last_name, directorate.dept_name FROM staff LEFT OUTER JOIN directorate on staff.dept_id = directorate.id Listing 12-8 shows the result set for the left outer join of the sample tables. Listing 12-8. Example Left Outer Join Result Set +-----------+----------------+ | last_name | dept_name | +-----------+----------------+ | Wallace | <null> | | Borg | Headquarters | | Hill | Administration | | Wallace | Administration | | Wallace | Administration | | Bell | Research | | Marrow | Research | | English | Research | | Smith | Research | +-----------+----------------+

Your pivot table contains a Total field that stores the total amount of each sale, and a Units field, that stores the number of units sold. You d like a Bonus field that calculates the bonus payable if a sales representative has sold more than 100 units of any product.

public aspect TrackingAspect { private String TestPrecedence._id = "TrackingAspect:id"; private void TestPrecedence.printId() { System.out.println( "<TrackingAspect:performTracking id=" + _id + "/>"); } }

Right Outer Join Right outer joins are those that include all rows from the right table concatenated with rows from the left table. For those rows that do not match the join condition, null values are returned for the columns from the left table. SELECT staff.last_name, directorate.dept_name FROM staff RIGHT OUTER JOIN directorate on staff.dept_id = directorate.id Listing 12-9 shows the result set for the left outer join of the sample tables. Listing 12-9. Example Left Outer Join Result Set +-----------+----------------+ | last_name | dept_name | +-----------+----------------+ | Borg | Headquarters | | Hill | Administration | | Wallace | Administration | | Wallace | Administration | | Smith | Research | | Bell | Research | | Marrow | Research | | English | Research | | <null> | Marketing | +-----------+----------------+ Full Outer Join Full outer joins are those that include all rows from both tables concatenated together. For those rows that do not match the join condition, null values are returned for the columns from the non-matching table. SELECT staff.last_name, directorate.dept_name FROM staff FULL OUTER JOIN directorate on staff.dept_id = directorate.id Listing 12-10 shows the result set for the full outer join of the sample tables. Listing 12-10. Example Full Outer Join Result Set +-----------+----------------+ | last_name | dept_name | +-----------+----------------+ | Wallace | <null> | | Borg | Headquarters | | Hill | Administration | | Wallace | Administration | | Wallace | Administration | | Bell | Research | | Marrow | Research |

Let s also add the following precedence-coordinating aspect (listing 4.14).

The cross-product operation is where the result set contains each row of the left table combined with every row from the right table. Thus, the result set contains n x m rows, where n represents the number of rows in the left table and m represents the number of rows in the right table. While simple in concept, not all database systems support the cross-product operation.

1. In the pivot table, select any cell. 2. On the Pivot toolbar, choose PivotTable Formulas Calculated Field. 3. Type a name for the calculated field, for example, Bonus. 4. Press the Tab key to move to the Formula box. 5. Type the formula =IF(Units>100,Total*0.03,0) 6. Click the OK button to save the calculated field and close the dialog box.

aspect SystemAspectCoordinator { declare precedence : SecurityAspect, TrackingAspect; }

Note It is possible in some database systems to represent a cross-product query using a query like

When we compile all the files and run the TestPrecedence class, we see this output: