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For example, note that three different orders (112968, 112975, and 112979) were received on October 12, 2007, and two different salespeople (Larry Fitch and Mary Jones) were hired that same day The three orders, each matched to both of the two salespeople, produce six rows of query results This many-to-many relationship is different from the one-to-many relationship created by primary key/foreign key matching columns The situation can be summarized as follows: Joins that match primary keys to foreign keys always create one-to-many, parent/ child relationships Other joins may also generate one-to-many relationships if the matching column in at least one of the tables has unique values for all rows of the table In general, joins on arbitrary matching columns generate many-to-many relationships Note that these three different situations have nothing to do with how you write the SELECT statement that expresses the join.

5. The next type of statement that you ll try is a condition join. As you probably recall,

All three types of joins are written the same way by including a comparison test for the matching column pairs in the WHERE clause or in the ON clause Nonetheless, it s useful to think about joins in this way to understand how to turn an English-language request into the correct SELECT statement..

a condition join can be either an inner join or an outer join. The first type you ll try is the inner join. In this statement, you ll join together three tables: COMPACT_DISCS, COMPACT_DISC_TYPES, and MUSIC_TYPES. Enter and execute the following SQL statement:

Part II:

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A transaction is a sequence of one or more SQL statements that together form a logical unit of work The SQL statements that form the transaction are typically closely related and perform interdependent actions Each statement in the transaction performs some part of a task, but all of them are required to complete the task Grouping the statements as a single transaction tells the DBMS that the entire statement sequence should be executed in a manner that passes what is known as the ACID test ACID is an acronym commonly used when referring to four characteristics of a transaction: Atomic A transaction has an all-or-nothing nature Either all operations in a transaction are performed or none of them are performed If some statements are executed and the transaction fails, the results of the statements that executed must be rolled back.

SELECT d.CD_TITLE, t.TYPE_NAME FROM COMPACT_DISCS d JOIN COMPACT_DISC_TYPES dt ON d.COMPACT_DISC_ID = dt.COMPACT_DISC_ID JOIN MUSIC_TYPES t ON dt.MUSIC_TYPE_ID = t.TYPE_ID;

Only when all statements are executed properly can a transaction be considered complete and the results of the transaction applied to the database Consistent A transaction must transform the database from one consistent state to another The database must be consistent at the end of each transaction, meaning that all rules that define and constrain the data must be adhered to before the transaction can end Also, no user should see inconsistent data because of changes made by transactions that have not yet completed Isolated Each transaction must execute on its own without interference from other transactions To be isolated, no transaction can act upon changes made by other transactions until those transactions are complete Durable Once a transaction is complete, all changes made by it should be preserved The data should be in a consistent state, even if a hardware or application error occurs after completion of the transaction.

In object-oriented programming, the term persistence is used for this property Here are some examples of typical transactions for the sample database, along with the SQL statement sequence that comprises each transaction: Add-an-order To accept a customer s order, the order-entry program should (a) query the PRODUCTS table to ensure that the product is in stock, (b) insert the order into the ORDERS table, (c) update the PRODUCTS table, subtracting the quantity ordered from the quantity-on-hand of the product, (d) update the SALESREPS table, adding the order amount to the total sales of the salesperson who took the order, and (e) update the OFFICES table, adding the order amount to the total sales of the office where the salesperson works.

Your query results should include 24 rows. Only the CD_TITLE column and the TYPE_ NAME column should be displayed.

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