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SQL lets you summarize data from the database through a set of column functions. A SQL column function takes an entire column of data as its argument and produces a single data item that summarizes the column. For example, the AVG() column function takes a column of data and computes its average. Here is a query that uses the AVG() column function to compute the average value of two columns from the SALESREPS table: What are the average quota and average sales of our salespeople SELECT AVG(QUOTA), AVG(SALES) FROM SALESREPS AVG(QUOTA) AVG(SALES) ------------ ----------$300,000.00 $289,353.20 Figure 8-1 graphically shows how the query results are produced. The first column function in the query takes values in the QUOTA column and computes their average; the second one averages the values in the SALES column. The query produces a single row of query results summarizing the data in the SALESREPS table.

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Multiple UNIONs*

then it produces only four rows, because the outer UNION eliminates all duplicate rows. For this reason, it s always a good idea to use parentheses in UNIONs of three or more tables to specify the order of evaluation intended.

You can use the UNION operation repeatedly to combine three or more sets of query results, as shown in Figure 6-15. The union of Table B and Table C in the figure produces a single, combined table. This table is then combined with Table A in another UNION operation. The query in the figure is written this way:

Summary

* C);

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This chapter is the first of four chapters about SQL queries. It described the following query features: I The SELECT statement is used to express a SQL query. Every SELECT statement produces a table of query results containing one or more columns and zero or more rows. I The FROM clause specifies the table(s) containing the data to be retrieved by a query. I The SELECT clause specifies the column(s) of data to be included in the query results, which can be columns of data from the database, or calculated columns. I The WHERE clause selects the rows to be included in the query results by applying a search condition to rows of the database. I A search condition can select rows by comparing values, by checking a value against a range or set of values, by matching a string pattern, and by checking for NULL values. I Simple search conditions can be combined with AND, OR, and NOT to form more complex search conditions. I The ORDER BY clause specifies that the query results should be sorted in ascending or descending order, based on the values of one or more columns. I The UNION operation can be used within a SELECT statement to combine two or more sets of query results into a single set.

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The parentheses in the query indicate which UNION operation should be performed first. In fact, if all of the UNIONs in the statement eliminate duplicate rows, or if all of them retain duplicate rows, the order in which they are performed is unimportant. These three expressions are completely equivalent

- 136 -

7

FIGURE 6-15

Part II:

Multitable Queries (Joins)

and produce seven rows of query results. Similarly, the following three expressions are completely equivalent and produce 12 rows of query results, because the duplicates are retained:

any useful queries request data from two or more tables in a database. For example, these requests for data in the sample database draw data from two, three, or four tables:

However, if the UNIONs involve a mixture of UNION and UNION ALL, the order of evaluation matters. If this expression:

I List the salespeople and the offices where they work (SALESREPS and OFFICES tables). I List each order placed last week, showing the order amount, the name of the customer who placed it, and the name of the product ordered (ORDERS, CUSTOMERS, and SALESREPS tables). I Show all orders taken by salespeople in the Eastern region, showing the product description and salesperson (ORDERS, SALESREPS, OFFICES, and PRODUCTS tables). SQL allows you to retrieve data that answers these requests through multitable queries that join data from two or more tables. These queries and the SQL join facility are described in this chapter.

SQL offers six different column functions, as shown in Figure 8-2. The column functions offer different kinds of summary data:

is interpreted as:

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