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This statement returns a value of 29, which is based on the NUMBER_SOLD values in the ARTIST_CDS table. This means that, for all the CDs listed in the table, an average of 29 for each one has been sold. Although you might find this information helpful, it might be more useful to you if you were to create a statement that groups data together:

The RESTRICT rule for deletes and updates is a "single-level" rule it affects only the parent table in a relationship. The CASCADE rule, on the other hand, can be a "multi-level" rule, as shown in Figure 11-3.

SELECT FROM WHERE GROUP ARTIST_NAME, AVG(NUMBER_SOLD) AS AVG_SOLD ARTIST_CDS NUMBER_SOLD > 30 BY ARTIST_NAME;

If you execute this statement, you will receive the following query results:

- 221 -

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empowered owner/manager who worked hard to pay off debt and to increase shareholder value Their motivation was simple: they owned significant stakes in the company and were personally at risk Traditional companies took note of these owner/managers who were making sweeping changes, taking risks, and putting plans into action Granted since the MBO and LBO transactions had taken the companies private, these owner/managers often had more control of the companies, along with their investors Still the large, publicly traded companies believed that with the right ownership stake they could motivate their top executives to make tough decisions and take bold actions LBOs and MBOs were interesting for another reason: they represented the second major wave of quick corporate takeovers in the last 40 years The first major wave was in the 1960s when companies were bought and sold virtually overnight.

ARTIST_NAME ------------Bing Crosby Joni Mitchell Patsy Cline AVG_SOLD -------34 39 54

As in the previous examples, three groups are created, and for each group, an average is calculated based on the values in the NUMBER_SOLD column. For the Joni Mitchell row, this average is based on the NUMBER_SOLD values of 45 and 34. For the other two rows, the average is the same as the NUMBER_SOLD value because there is only one row for each artist.

Q: A:

Assume for this discussion that the OFFICES/SALESREPS and SALESREPS/ORDERS relationships shown in the figure both have CASCADE rules. What happens when you delete Los Angeles from the OFFICES table The CASCADE rule for the OFFICES/SALESREPS relationship tells the DBMS to automatically delete all of the SALESREPS rows that refer to the Los Angeles office (office number 21) as well. But deleting the SALESREPS row for Sue Smith brings into play the CASCADE rule for the SALESREPS/ORDERS relationship. This rule tells the DBMS to automatically delete all of the ORDERS rows that refer to Sue (employee number 102). Deleting an office thus causes cascaded deletion of salespeople, which causes cascaded deletion of orders. As the example shows, CASCADE delete rules must be specified with care because they can cause widespread automatic deletion of data if they're used incorrectly. Cascaded update rules can cause similar multilevel updates if the foreign key in the child table is also its primary key. In practice, this is not very common, so cascaded updates typically have less far-reaching effects than cascaded deletes. The SET NULL and SET DEFAULT update and delete rules are both two-level rules; their impact stops with the child table. Figure 11-4 shows the OFFICES, SALESREPS, and ORDERS tables again, with a SET NULL delete rule for the OFFICES/SALESREPS relationship. This time, when the Los Angeles office is deleted, the SET NULL delete rule tells the DBMS to set the REP_OFFICE column to NULL in the SALESREPS rows that refer to office number 21. The rows remain in the SALESREPS table, however, and the impact of the delete operation extends only to the child table.

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