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The best way to understand the facilities that SQL provides for multitable queries is to start with a simple request that combines data from two different tables: List all orders, showing the order number and amount, and the name and credit limit of the customer who placed it. The four specific data items requested are clearly stored in two different tables, as shown in Figure 7-1. I The ORDERS table contains the order number and amount of each order, but doesn t have customer names or credit limits. I The CUSTOMERS table contains the customer names and balances, but it lacks any information about orders. There is a link between these two tables, however. In each row of the ORDERS table, the CUST column contains the customer number of the customer who placed the order, which matches the value in the CUST_NUM column in one of the rows in the CUSTOMERS table. Clearly, the SELECT statement that handles the request must somehow use this link between the tables to generate its query results. Before examining the SELECT statement for the query, it s instructive to think about how you would manually handle the request, using paper and pencil. Figure 7-2 shows what you would probably do:

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A UNION ALL (B UNION C)

7:

then it produces ten rows of query results (six from the inner UNION, plus four rows from Table A). However, if it is interpreted as:

Multitable Queries (Joins)

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.

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SUM() computes the total of a column. AVG() computes the average value in a column. MIN() finds the smallest value in a column. MAX() finds the largest value in a column. COUNT() counts the number of values in a column. COUNT(*) counts rows of query results. The argument to a column function can be a simple column name, as in the previous example, or it can be a SQL expression, as shown here: What is the average quota performance of our salespeople

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1. Start by writing down the four column names for the query results. Then move to the ORDERS table, and start with the first order. 2. Look across the row to find the order number (112961) and the order amount ($31,500.00) and copy both values to the first row of query results. 3. Look across the row to find the number of the customer who placed the order (2117), and move to the CUSTOMERS table to find customer number 2117 by searching the CUST_NUM column. 4. Move across the row of the CUSTOMERS table to find the customer s name ( J.P. Sinclair ) and credit limit ($35,000.00), and copy them to the query results table. 5. You ve generated a row of query results! Move back to the ORDERS table, and go to the next row. Repeat the process, starting with Step 2, until you run out of orders. Of course this isn t the only way to generate the query results, but regardless of how you do it, two things will be true: I Each row of query results draws its data from a specific pair of rows, one from the ORDERS table and one from the CUSTOMERS table. I The pair of rows are found by matching the contents of corresponding columns from the tables.

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This chapter is the first of four chapters about SQL queries. It described the following query features: 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. The FROM clause specifies the table(s) containing the data to be retrieved by a query. 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. The WHERE clause selects the rows to be included in the query results by applying a search condition to rows of the database. 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. Simple search conditions can be combined with AND, OR, and NOT to form more complex search conditions. 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. 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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