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These query results are generated by using a different type of join operation, called an outer join (indicated by the *= notation in the WHERE clause). The outer join is an extension of the standard join described earlier in this chapter, which is sometimes called an inner join. The SQL1 standard specifies only the inner join; it does not include the outer join. The earlier IBM SQL products also support only the inner join. However, the outer join is a well-understood and useful part of the relational database model, and it has been implemented in many non-IBM SQL products, including the flagship database products from Microsoft, Sybase, Oracle, and IBM s Informix. The outer join is also the most natural way to express a certain type of query request, as shown in the remainder of this section. To understand the outer join well, it s useful to move away from the sample database and consider the two simple tables in Figure 7-12. The GIRLS table lists five girls and the cities where they live; the BOYS table lists five boys and the cities where they live. To find the girl/boy pairs who live in the same city, you could use this query, which forms the inner join of the two tables: List the girls and boys who live in the same city.



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The World Wide Web (WWW) was first conceived by Tim Berners-Lee, who is considered the father of the World Wide Web. A physicist by training, Berners-Lee began his career in the computer and telecommunications

SELECT * FROM GIRLS, BOYS WHERE GIRLS.CITY = BOYS.CITY GIRLS.NAME ----------Mary Mary Susan Betty GIRLS.CITY ----------Boston Boston Chicago Chicago BOYS.NAME ---------John Henry Sam Sam BOYS.CITY ---------Boston Boston Chicago Chicago

Figure 7-12.





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The inner join produces four rows of query results. Notice that two of the girls (Anne and Nancy) and two of the boys (James and George) are not represented in the query results. These rows cannot be paired with any row from the other table, and so they are missing from the inner join results. Two of the unmatched rows (Anne and James) have valid values in their CITY columns, but they don t match any cities in the opposite table. The other two unmatched rows (Nancy and George) have NULL values in their CITY columns, and by the rules of SQL NULL handling, the NULL value doesn t match any other value (even another NULL value). Suppose you wanted to list the girl/boy pairs who share the same cities and include the unmatched girls and boys in the list. The outer join of the GIRLS and BOYS tables produces exactly this result. The following list shows the procedure for constructing the outer join, and the outer join is shown graphically in Figure 7-12. 1. Begin with the inner join of the two tables, using matching columns in the normal way. 2. For each row of the first table that is not matched by any row in the second table, add one row to the query results, using the values of the columns in the first table, and assuming a NULL value for all columns of the second table.

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Downloaded from Digital Engineering Library @ McGraw-Hill (www.digitalengineeringlibrary.com) Copyright 2004 The McGraw-Hill Companies. All rights reserved. Any use is subject to the Terms of Use as given at the website.

Figure 7-5. A dependency property requires an object of the DependencyProperty class and an object of the DependencyObject class.

7:

Multitable Queries (Joins)

1

3. For each row of the second table that is not matched by any row in the first table, add one row to the query results, using the values of the columns in the second table, and assuming a NULL value for all columns of the first table. 4. The resulting table is the outer join of the two tables. Here is the SQL statement that produces the outer join: List girls and boys in the same city, including any unmatched girls or boys.

SELECT * FROM GIRLS, BOYS WHERE GIRLS.CITY *=* BOYS.CITY GIRLS.NAME ----------Mary Mary Susan Betty Anne Nancy NULL NULL GIRLS.CITY ----------Boston Boston Chicago Chicago Denver NULL NULL NULL BOYS.NAME ---------John Henry Sam Sam NULL NULL James George BOYS.CITY ---------Boston Boston Chicago Chicago NULL NULL Dallas NULL RETRIEVING DATA

industries following graduation from Oxford, before accepting a consulting position as a software engineer with the European Organization for Nuclear Research (CERN) during the late 1970s During his stint in Geneva, Berners-Lee observed that CERN suffers from the problems that plague most major organizations: information location, management, and retrieval CERN is a research organization with large numbers of simultaneous ongoing projects, a plethora of internally published documentation, and significant turnover of people Much of the work conducted at CERN revolves around large-scale high-energy physics collaborations that demand instantaneous information sharing between physicists all over the world Berners-Lee found that his ability to quickly locate and retrieve specific information was seriously impaired by the lack of a single common search capability and the necessarily dispersed nature of the organization.

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