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The NULL values for Tom Snyder represent missing or unknown data. He is new to the company and has not yet been assigned to a sales office or been given a sales quota. However, he has already made some sales. The data in his row of query results shows this clearly. SQL also lets you ask for calculated results. For example, you can ask SQL to calculate the amount by which each salesperson is over or under quota:
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SELECT NAME, SALES, QUOTA, (SALES QUOTA) FROM SALESREPS; NAME SALES QUOTA (SALES QUOTA) -------------- ------------ ------------ -------------Bill Adams $367,911.00 $350,000.00 $17,911.00 Mary Jones $392,725.00 $300,000.00 $92,725.00 Sue Smith $474,050.00 $350,000.00 $124,050.00 Sam Clark $299,912.00 $275,000.00 $24,912.00 Bob Smith $142,594.00 $200,000.00 $57,406.00 Dan Roberts $305,673.00 $300,000.00 $5,673.00 Tom Snyder $75,985.00 NULL NULL Larry Fitch $361,865.00 $350,000.00 $11,865.00 Paul Cruz $286,775.00 $275,000.00 $11,775.00 Nancy Angelli $186,042.00 $300,000.00 $113,958.00
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The requested data (including the calculated difference between sales and quota for each salesperson) once again appears in a row/column table. Perhaps you would like to focus on the salespeople whose sales are less than their quotas. SQL lets you retrieve that
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Part I:
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An Overview of SQL
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kind of selective information very easily, by adding a mathematical comparison to the previous request:
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SELECT NAME, SALES, QUOTA, (SALES QUOTA) FROM SALESREPS WHERE SALES < QUOTA; NAME SALES QUOTA -------------- ------------ -----------Bob Smith $142,594.00 $200,000.00 Nancy Angelli $186,042.00 $300,000.00 (SALES QUOTA) ------------ $57,406.00 $113,958.00
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You can use the same technique to list large orders in the database and find out which customer placed the order, which product was ordered, and in what quantity. You can also ask SQL to sort the orders based on the order amount:
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SELECT FROM WHERE ORDER ORDER_NUM, CUST, PRODUCT, QTY, AMOUNT ORDERS AMOUNT > 25000.00 BY AMOUNT;
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ORDER_NUM CUST PRODUCT QTY AMOUNT ---------- ----- -------- ---- ----------112987 2103 4100Y 11 $27,500.00 113069 2109 775C 22 $31,350.00 112961 2117 2A44L 7 $31,500.00 113045 2112 2A44R 10 $45,000.00
Summarizing Data
SQL not only retrieves individual pieces of data from the database, but it also can summarize the database contents. What s the average size of an order in the database This request asks SQL to look at all the orders and find the average amount:
SELECT AVG(AMOUNT) FROM ORDERS; AVG(AMOUNT) -----------$8,256.37
You could also ask for the average order size for a particular customer:
SELECT AVG(AMOUNT) FROM ORDERS WHERE CUST = 2103; AVG(AMOUNT) ----------$8,895.50
2:
A Q u i c k To u r o f S Q L
Finally, let s find out the total value of the orders placed by each customer. To do this, you can ask SQL to group the orders together by customer number and then total the orders for each customer:
SELECT CUST, SUM(AMOUNT) FROM ORDERS GROUP BY CUST; CUST SUM(AMOUNT) ----- -----------2101 $1,458.00 2102 $3,978.00 2103 $35,582.00 2106 $4,026.00 2107 $23,132.00 2108 $7,255.00 2109 $31,350.00 2111 $6,445.00 2112 $47,925.00 2113 $22,500.00 2114 $22,100.00 2117 $31,500.00 2118 $3,608.00 2120 $3,750.00 2124 $3,082.00
PART I
Adding Data to the Database
You also use SQL to add new data to the database. For example, suppose you just opened a new Western region sales office in Dallas, with target sales of $275,000. Here s the INSERT statement that adds the new office to the database, as office number 23:
INSERT INTO OFFICES (CITY, REGION, TARGET, SALES, OFFICE) VALUES ('Dallas', 'Western', 275000.00, 0.00, 23); 1 row inserted.
Similarly, if Mary Jones (employee number 109) signs up a new customer, Acme Industries, this INSERT statement adds the customer to the database as customer number 2125 with a $25,000 credit limit:
INSERT INTO CUSTOMERS (COMPANY, CUST_REP, CUST_NUM, CREDIT_LIMIT) VALUES ('Acme Industries', 109, 2125, 25000.00); 1 row inserted.
You may have noticed that the SQL engine returned feedback (1 row inserted) to tell you that the statements worked. The exact wording and formatting of this feedback will vary from one SQL implementation to another.
Part I:
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