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In addition, the SQL:2006 standard supports the INTERSECT and EXCEPT operators, which have syntax similar to UNION. INTERSECT works like UNION except it returns only rows that appear in the results of both SELECT statements. EXCEPT, on the other hand, returns only rows that appear in the results of the first SELECT statement but not in the results of the second one. SQL Server supports both INTERSECT and EXCEPT. Oracle and MySQL support INTERSECT but use the operator MINUS instead of EXCEPT.

comparable data types (or data types that can be converted to compatible types). This example shows a query that uses a pair of dates as matching columns: Find all orders received on a day when a new salesperson was hired.

SELECT ORDER_NUM, AMOUNT, ORDER_DATE, NAME FROM ORDERS, SALESREPS WHERE ORDER_DATE = HIRE_DATE; ORDER_NUM AMOUNT ORDER_DATE ---------- ----------- ----------112968 $3,978.00 12-OCT-07 112979 $15,000.00 12-OCT-07 112975 $2,100.00 12-OCT-07 112968 $3,978.00 12-OCT-07 112979 $15,000.00 12-OCT-07 112975 $2,100.00 12-OCT-07

Try This 11-1

OFFICE 22 11 12 13 21 CITY Denver New York Chicago Atlanta Los Angeles REGION MGR Western 108 Eastern 106 Eastern 104 Eastern NULL Western 108

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In this chapter, you have been introduced to a variety of join operations as well as the UNION operator, which, technically, is not considered a join. Now you will have the opportunity to practice several of these join techniques by querying data from the INVENTORY database. Specifically, you will query some of the tables that are configured with foreign key relationships, which are the sort of relationships that tie data from one table to data in another table. Because you will not be changing any data, you should feel free to try out various types of join operations, beyond what we review in this Try This exercise. You can download the Try_This_11.txt file, which contains the SQL statements used in this Try This exercise.

108 103 107

62 29 49

1. Open the client application for your RDBMS and connect to the INVENTORY database. 2. The first type of operation you ll perform is a comma-separated join on the ARTISTS and

21 12 22

CUST_NUM 2111 2102 2103 COMPANY JCP Inc. First Corp. Acme Mfg. CUST_REP 103 101 105 CREDIT_LIMIT $50,000.00 $65,000.00 $50,000.00

ARTIST_CDS tables. The join will use the ARTIST_ID column to establish the equi-join condition. Enter and execute the following SQL statement:

FIGURE 7-7

SELECT * FROM ARTISTS a, ARTIST_CDS c WHERE a.ARTIST_ID = c.ARTIST_ID;

7:

Multitable Queries (Joins)

Your query results should include 19 rows and should include the ARTIST_ID columns from both tables as well as the ARTIST_NAME, PLACE_OF_BIRTH, and COMPACT_ DISC_ID columns.

ORDER_NUM 113051 112978 113076 113062 112379 113027 112992 112875 113055 ORDER_DATE CUST

105 109 102 106 104 101 110 108 103 107 Bill Adams Mary Jones Sue Smith Sam Clark Bob Smith Dan Roberts Tom Snyder Larry Fitch Paul Cruz Nancy Angelli

table. That way, you can display the actual name of the CDs. In addition, you will specify the names of the columns that should be returned. Enter and execute the following SQL statement:

12-FEB-88 12-OCT-89 10-DEC-86 14-JUN-88 19-MAY-88 20-OCT-86 13-JAN-90 12-OCT-89 01-MAR-87 14-NOV-89

SELECT FROM WHERE AND d.CD_TITLE, a.ARTIST_NAME, a.PLACE_OF_BIRTH ARTISTS a, ARTIST_CDS c, COMPACT_DISCS d a.ARTIST_ID = c.ARTIST_ID d.COMPACT_DISC_ID = c.COMPACT_DISC_ID;

10-FEB-90 12-OCT-89 30-JAN-90

2118 2102 2107

Your query results should again include 19 rows. However, this time the results will display only the CD_TITLE, ARTIST_NAME, and PLACE_OF_BIRTH columns.

24-FEB-90 12-OCT-89 22-JAN-90

2124 2114 2103

11:

04-NOV-89 12-OCT-89 15-FEB-90

SQL statement:

2118 2111 2108

You can simply choose the appropriate command file for your selection and execute it. You can customize one of the files to better suit your specific needs and then execute the matching command file. You can create a completely new initialization file and then execute the command manually from the console or command prompt.

FIGURE 7-8

SELECT FROM WHERE AND d.CD_TITLE, a.ARTIST_NAME, a.PLACE_OF_BIRTH ARTISTS a CROSS JOIN ARTIST_CDS c CROSS JOIN COMPACT_DISCS d a.ARTIST_ID = c.ARTIST_ID d.COMPACT_DISC_ID = c.COMPACT_DISC_ID;

The results of this query come from pairs of rows in the ORDERS and SALESREPS tables where the ORDER_DATE happens to match the HIRE_DATE for the salesperson, as shown in Figure 7-8 Neither of these columns is a foreign key or a primary key, and the relationship between the pairs of rows is admittedly a strange one the only thing the matched orders and salespeople have in common is that they happen to have the same dates However, SQL happily joins the tables anyway Matching columns like the ones in this example generate a many-to-many relationship between the two tables Many orders can share a single salesperson s hire date, and more than one salesperson may have been hired on the same date.

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