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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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According to the SQL:2006 standard, natural joins and named column joins support both inner and outer joins. However, this can vary from SQL implementation to implementation, so be sure to check the product documentation. By default, a join is processed as an inner join unless specifically defined as an outer join.

Now that you have a general overview of the condition join, let s take a closer look at the inner join. The inner join is the most common of the condition joins and is specified by using the INNER JOIN keywords. However, the INNER keyword is not required. If JOIN is used alone, an inner join is assumed. In addition to the JOIN keyword (specified in the FROM clause), you must also define an ON clause, which immediately follows the FROM clause. Let s take a look at an example to see how this works. Suppose you want to join the CD_TITLES table and the TITLES_ARTISTS table, shown in Figure 11-4. In the following example, an inner join has been created that is based on the TITLE_ID columns in the two tables:

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Analyzing the data shows that profitability has a strong relationship with the cost of goods sold, SGA expenses, and sales, given the complexity of business dealings. Therefore, performance measurements must include gathering data on the cost of goods sold and operational expenses and setting goals to reduce them. To establish a causal relationship between the performance measurements and profitability, correlations that capture the relative rankings of various measurements in order of significance were reviewed, as shown in Figure 10-3. A strong or weak correlation between two factors does not ensure a causal relationship, but it does indicate that there may be one. Figure 10-4 shows that profits are strongly correlated with a combination of the three key factors, i.e., sales, cost of goods sold, and SGA expenses. However, individually these three measurements are mildly correlated in the following order: 1. Sales 2. SGA Expenses 3. Cost of Goods Sold To improve profitability, a business must increase sales, reduce the SGA expenses, and reduce the cost of goods sold (in this order). Of course, there is a tradeoff between the three variables, so a balance must be found to maximize profitability. As Figure 10-4 illustrates, about 20 percent of the margins are accounted for in indirect expenses, and profitability correlates strongly with

Fig. 7.18(a)

SELECT t.TITLE, ta.ARTIST_ID FROM CD_TITLES t INNER JOIN TITLES_ARTISTS ta ON t.TITLE_ID = ta.TITLE_ID WHERE t.TITLE LIKE ('%Blue%');

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