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In SQL, you can also join a table to itself. Although this join type is essentially the same as a regular join, it has its own name: autojoin or self-join. In other words, autojoins contain tables being referenced more than once in the FROM clause. This provides another good reason why you should use explicit tuple variables (as opposed to relying on table names as implicit tuple variables) in your SQL statements. In autojoins, the table names result in ambiguity issues. So why not use tuple variables consistently in all your SQL statements Listing 8-7 shows an example of an autojoin. The query produces an overview of all employees born after January 1, 1965, with a second column showing the name of their managers. (You may want to refer to Figure C-3 in Appendix C, which shows a diagram of the hierarchy of the EMPLOYEES table.)

Listing 8-7. Autojoin (Self-Join) Example select , from , where and e.ename as employee m.ename as manager employees m employees e e.mgr = m.empno e.bdate > date '1965-01-01'; MANAGER -------BLAKE BLAKE SCOTT KING KING FORD

You also have the option of wrapping document text around the table. For business plans, you should turn text wrapping off. You can specify margins for text within the cell and padding between the cells. This allows you to space your data nicely across the page. To access these controls, click the Options button to bring up the Table Options dialog box, as shown in Figure 6-30.

Because we have two tuple variables e and m, both ranging freely over the same table, we get 14 14 = 196 possible row combinations. The WHERE clause filters out the correct combinations, where row m reflects the manager of row e.

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The join examples shown in the previous section use the Cartesian product operator (the comma in the FROM clause) as a starting point, and then filter the rows using an appropriate WHERE clause. There s absolutely nothing wrong with that approach, and the syntax is fully compliant with the ANSI/ISO SQL standard, but the ANSI/ISO SQL standard also supports alternative syntax to specify joins. This alternative join syntax is covered in this section. First, let s look again at the join statement in Listing 8-7. You could argue that the WHERE clause of that query contains two different condition types: line 5 contains the join condition to make sure you combine the right rows, and line 6 is a real (non-join) condition to filter the employees based on their birth dates. Listing 8-8 shows an equivalent query, producing the same results, using a different join syntax. Note the keywords JOIN and ON. Also note that this join syntax doesn t use any commas in the FROM clause. Listing 8-8. JOIN ... ON Example select e.ename as employee , m.ename as manager from employees m JOIN employees e ON e.mgr = m.empno where e.bdate > date '1965-01-01' order by employee;

This step would not be necessary if the application were deployed in a production environment because it would probably use Windows authentication. Note: WCF federation bindings can handle the negotiations between the active client and the issuers without additional code. You can achieve the same results with calls to the WIF s WSTrustChannel class.

The syntax of Listing 8-8 is more elegant than the syntax in Listing 8-7, because the join is fully specified in the FROM clause and the WHERE clause contains only the filtering (i.e., the non-join) condition.

You can also use the NATURAL JOIN operator in the FROM clause. Listing 8-9 shows an example that joins the EMPLOYEES table with the HISTORY table. Question: Before reading on, how is it possible that Listing 8-9 produces 15 rows in the result, instead of 14 Listing 8-9. Natural Join Example select ename, beginyear, msal, deptno from employees natural join history; ENAME BEGINYEAR MSAL DEPTNO -------- --------- -------- -------SMITH 2000 800 20 ALLEN 1999 1600 30 WARD 1992 1250 30 WARD 2000 1250 30 JONES 1999 2975 20 MARTIN 1999 1250 30 BLAKE 1989 2850 30 CLARK 1988 2450 10 SCOTT 2000 3000 20 KING 2000 5000 10 TURNER 2000 1500 30 ADAMS 2000 1100 20 JONES 2000 800 30 FORD 2000 3000 20 MILLER 2000 1300 10 Explanation: To understand what s happening in Listing 8-9, you must know how the NATURAL JOIN operator is defined in the SQL language. Listing 8-9 illustrates the behavior of the NATURAL JOIN operator: 1. The NATURAL JOIN operator determines which columns the two tables (EMPLOYEES and HISTORY) have in common. In this case, these are the three columns EMPNO, MSAL, and DEPTNO.

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