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Modify the query in Problem 13 to include the number of individual product purchases made by each customer. (In other words, if the customer’s invoice is based on three products, one per LINE_NUMBER, you count three product purchases. Note that in the original invoice data, customer 10011 generated three invoices, which contained a total of six lines, each representing a product purchase.) Your output values must match those shown in Figure P7.14, sorted by customer code. FIGURE P7.14 CUSTOMER TOTAL PURCHASE AMOUNTS AND NUMBER OF PURCHASES

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Database Systems: Design, Implemen...

13th Edition
Carlos Coronel + 1 other
Publisher: Cengage Learning
ISBN: 9781337627900

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Chapter
Section
BuyFindarrow_forward

Database Systems: Design, Implemen...

13th Edition
Carlos Coronel + 1 other
Publisher: Cengage Learning
ISBN: 9781337627900
Chapter 7, Problem 14P
Textbook Problem
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Modify the query in Problem 13 to include the number of individual product purchases made by each customer. (In other words, if the customer’s invoice is based on three products, one per LINE_NUMBER, you count three product purchases. Note that in the original invoice data, customer 10011 generated three invoices, which contained a total of six lines, each representing a product purchase.) Your output values must match those shown in Figure P7.14, sorted by customer code.

FIGURE P7.14 CUSTOMER TOTAL PURCHASE AMOUNTS AND NUMBER OF PURCHASES

Chapter 7, Problem 14P, Modify the query in Problem 13 to include the number of individual product purchases made by each

Program Plan Intro

“COUNT()” function:

In SQL, the “COUNT ()” function will return the total number of rows in the table with satisfying the criteria mentioned in the “WHERE” clause.

DISTINCTROW Keyword:

The “DISTINCTROW” keyword omits data based entire duplicate records, not like just duplicate fields. The syntax for “DISTINCT” keyword is as follows:

Syntax:

SELECT DISTINCTROW col_Name FROM table_Name1 INNER JOIN table_Name2 ON table_Name1.col_Name = table_Name2.col_Name ORDER BY table_Name1;

SUM function:

The “SUM” function is used to add the value and then return the sum of the expression in a “SELECT” statement.

Syntax:

SELECT SUM (exp) FROM table_Name [WHERE condition];

GROUP BY Clause:

The GROUP BY clause is used to group the result of a SELECT statement done on a table where the tuple values are similar for more than one column

Syntax:

SELECT expression1, expression2, expression_n, aggregate_function (expression)FROM table_name WHERE conditions GROUP BY expression1, expression2, expression_n;

INNER JOIN keyword:

“INNER JOIN” keyword is used to select all the matching records of both the table.

Syntax:

SELECT col_Name FROM table_Name1 INNER JOIN table_Name2 ON table_Name1.col_Name = table_Name2.col_Name;

Explanation of Solution

SQL code:

The SQL code to modify the previous question to include individual product purchases made by each customer is given below:

SELECT DISTINCTROW INVOICE.CUS_CODE, CUSTOMER.CUS_BALANCE, Sum([LINE]![LINE_UNITS]*[LINE]![LINE_PRICE]) AS Expr1, Count(INVOICE.CUS_CODE) AS CountOfCUS_CODE

FROM CUSTOMER INNER JOIN (INVOICE INNER JOIN LINE ON INVOICE.INV_NUMBER = LINE.INV_NUMBER) ON CUSTOMER.CUS_CODE = INVOICE.CUS_CODE

GROUP BY INVOICE.CUS_CODE, CUSTOMER.CUS_BALANCE;

Explanation:

  • The above query will select the matching records from the “CUSTOMER”, “LINE” and “INVOICE” tables using INNER JOIN keyword...

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Chapter 7 Solutions

Database Systems: Design, Implementation, & Management
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