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Another type of join that you can create is the self-join, which can be either a commaseparated join or a cross join. In a self-join, you create a join condition that references the same table two times, essentially joining the table to itself. This is almost always done to resolve a recursive relationship, finding other rows in the same table that are related to the selected rows. For example, suppose you add an EMPLOYEES table to your database, as shown in Figure 11-2. The EMPLOYEES table includes a list of employee IDs, employee names, and the employee IDs of their managers, who are also listed in the table. For example, the manager of Mr. Jones (EMP_ID 102) is Ms. Smith (EMP_ID 101). To create a self-join on this table, you must create a join that treats the table as if it was two separate tables with the same name, same columns, and same data:

SELECT FROM WHERE ORDER a.EMP_ID, a.EMP_NAME, b.EMP_NAME AS MANAGER EMPLOYEES a, EMPLOYEES b a.MNGR = b.EMP_ID BY a.EMP_ID;

11:

EMP_ID: EMP_NAME: INT VARCHAR(60) 101 102 103 104 105 106 107 Ms. Smith Mr. Jones Mr. Roberts Ms. Hanson Mr. Fields Ms. Lee Mr. Carver

Measurement Sales Cost of Goods Sold R&D Inventory SGA Expenses Profits Long-Term Debt Plant and Equipment Shareholders Equity Retained Earnings Total Assets

Figure 11-2

Private Sub Command1_Click() Const Pi As Single = 3.1415927 Dim n As Integer, i As Integer Dim Angle As Single, Rad As Single, Approx As Single, Exact As Single Dim Sum As Single, C As Single Angle = Val(Text1.Text) Rad = 2 * Pi * Angle / 360 n = Val(Text2.Text)

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In this statement, each instance of the table is given a correlation name. As a result, you now have (in this example) table a and table b. You pull the EMP_ID value and EMP_NAME value from table a, but you pull the MANAGER value from table b. The equi-join condition is defined in the WHERE clause by equating the MNGR value in table a with the EMP_ID value in table b. This provides the link that treats one physical table as two logical tables. When you execute this statement, you receive the following query results:

EMP_ID -----102 103 104 105 106 107 EMP_NAME ----------Mr. Jones Mr. Roberts Ms. Hanson Mr. Fields Ms. Lee Mr. Carver MANAGER ----------Ms. Smith Ms. Smith Mr. Roberts Mr. Jones Mr. Jones Mr. Roberts

The results include the employee ID and name of each employee, along with the name of the employee s manager. As you can see, the self-join can be a handy tool to use in cases such as this where a table references itself.

Dow 30 Average $58,114 33,044 2,045 4,928 8,977 4,350 16,015 19,226 25,167 22,505 $133,635

SQL provides two methods for setting up joins that you can use when you re working with columns that have the same names. These two methods the natural join and the named column join allow you to easily specify a join condition between two tables when one or more columns within those tables are the same. In order to use either of these two methods, the tables must meet the following conditions:

The joined columns must share the same name and have compatible data types. The names of the joined columns cannot be qualified with table names.

Sum = 0 C = 1 For i = 1 To n Sum = Sum + C * Rad ^ (2 * i - 1) / Factorial(2 * i - 1) C = -C 'reverse sign for next member in series Next i Approx = Sum Exact = Sin(Rad) 'library function Text3.Text = Str(Approx) Text4.Text = Str(Exact) End Sub Private Sub Command2_Click() Text1.Text = "" Text2.Text = "" Text3.Text = "" Text4.Text = ""

When you re using either the natural join or the named column join, each table must share at least one column in common. For example, the TITLES_IN_STOCK and the TITLE_ COSTS tables, shown in Figure 11-3, have two columns that are the same: CD_TITLE and CD_TYPE. Notice that each set of matching columns is configured with the same data type. You can use a natural join or a named column join to join these two tables. I describe each of these types of join operations in the next several sections, and I use the tables in Figure 11-3 to illustrate how each of these methods work.

Not all SQL implementations support natural joins or named column joins. For example, SQL Server does not support either of these methods, MySQL supports natural joins but not named column joins, and Oracle supports both.

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