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Joining the TITLES_IN_STOCK and TITLE_COSTS tables
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In this statement, the tables are joined through the CD_TITLE and CD_TYPE columns. Notice that neither column name is qualified qualified names are not permitted in natural joins. If either of these column names had been included in the WHERE clause, they still would not be qualified. When you execute this statement, you receive the following query results:
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CD_TITLE -------------------Blues on the Bayou Deuces Wild Blue CD_TYPE ------Blues Blues Popular RETAIL -----15.99 14.99 15.99
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As you can see, only three rows are returned. These are the rows in which the CD_ TITLE values in both tables are equal and the CD_TYPE values are equal. In addition, the INVENTORY values are greater than 15.
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Although natural joins can be handy for simple join operations, you might find that you do not always want to include every matching column as part of the join condition. The way around this is to use a named column join, which allows you to specify which matching columns to include. For example, suppose you want to include only the CD_TITLE in the join condition. You can modify the previous example as follows:
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SELECT CD_TITLE, s.CD_TYPE, c.RETAIL FROM TITLES_IN_STOCK s JOIN TITLE_COSTS c USING (CD_TITLE) WHERE s.Inventory > 15;
In this statement, I ve removed the NATURAL keyword and added a USING clause, which identifies the matching columns. Notice that the CD_TYPE column name has now been qualified, but the CD_TITLE column has not. Only the columns identified in the USING clause are not qualified. This statement returns the same results as the preceding example, although this does not necessarily have to be the case, depending on the data in the tables. If, however, you include both matching columns in the USING clause, you would definitely see the same results as you saw in the natural join. By identifying all matching columns in the USING clause, you are performing the same function as a natural join.
Use the Condition Join
So far in this chapter, we ve looked at comma-separated joins, cross joins, natural joins, and named column joins. In comma-separated and cross joins, the equi-join condition is defined in the WHERE clause. In natural joins, the equi-join condition is automatically assumed on all matching columns. And in named column joins, the equi-join condition is placed on any matching columns defined in the USING clause. The condition join takes an approach different from any of these. In a condition join, the equi-join condition is defined in the ON clause, which works in a way very similar to the WHERE clause. However, despite the use of the ON clause, a basic condition join is similar in many ways to the previous join operations we ve looked at, except that, unlike the natural join and named column join,
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the condition join allows you to match any compatible columns from one table against those in another table. Column names do not have to be the same. The condition join is the syntax preferred by most SQL programmers because of its clarity, flexibility, and wide support across SQL implementations. A condition join can be separated into two types of joins: inner joins and outer joins. The difference between the two is the amount of data returned by the query. An inner join returns only those rows that meet the equi-join condition defined in the SELECT statement. In other words, the inner join returns only matched rows. This was the original join available in SQL, and thus is called a standard join by some SQL programmers, although this is a misnomer because all the joins presented in this chapter are described in the SQL standard. An outer join, on the other hand, returns matched rows and some or all of the unmatched rows, depending on the type of outer join.
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