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1. In which SELECT statement clause do you include predicates 2. Which comparison operator symbol should you use to express a not equal condition A <= B >= C <> D =< 3. Which keywords can you use to combine predicates in a WHERE clause 4. You want to query a table that includes the PRICE column. You want to ensure that all rows
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returned have a PRICE value of 13.99. What predicate should you use
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5. You create the following SQL statement: SELECT FROM WHERE AND CD_TITLE, RETAIL_PRICE CDS_ON_HAND RETAIL_PRICE >= 14 RETAIL_PRICE <= 16;
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What predicate can you use in place of the two predicates shown in this statement
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6. What keyword can you add to a BETWEEN predicate to find the inverse of the condition
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7. When is a null value used in a column 8. You want to query a table to determine which values are null. What type of predicate should
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Using Predicates
9. You re creating a SELECT statement that queries the ARTISTS_BIO table. You want to
return all columns in the table, but you want to return only those rows that do not contain null values in the PLACE_OF_BIRTH column. Which SELECT statement should you use
10. You re querying the CD_INVENTORY table. You want to view all columns, but you want
to view only rows that contain the word Christmas in the name of the CD. The names are stored in the CD_TITLE column. Which SELECT statement should you use
11. What is the difference between a percentage sign and an underscore when used in a LIKE
predicate
12. What two types of data sources can you use in an IN predicate 13. Which type of predicate is concerned only with determining whether or not a subquery
returns any rows
14. What column names must be specified in an EXISTS predicate 15. You re creating a SELECT statement that includes a predicate in the WHERE clause. You
want to use a comparison operator to compare the values in one of the columns to the results of a subquery. You want the predicate to evaluate to true for any of the subquery results. Which type of predicate should you use
A EXISTS B ANY C ALL D IN 16. What is the difference between a SOME predicate and an ANY predicate 17. How does the ALL predicate differ from the SOME predicate
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Working with Functions and Value Expressions
Copyright 2009 by The McGraw-Hill Companies. Click here for terms of use.
SQL: A Beginner s Guide
Key Skills & Concepts
Use Set Functions Use Value Functions Use Value Expressions Use Special Values
n earlier parts of the book, you have been briefly introduced to various value-related functions and expressions. These values and expressions are used in examples and Try This exercises in a number of chapters to demonstrate different components of SQL. In this chapter, I take a closer look at many of these values and expressions, focusing on those that you are most likely to use as a beginning SQL programmer. You should keep in mind, however, that this chapter covers only a portion of the many types of functions and expressions supported by SQL. In addition, SQL implementations can vary greatly with regard to which SQL functions and expressions they support, how those values and expressions are implemented, and what nonstandard functions and expressions they include in their products in addition to the standard ones. Be sure to check the product documentation to determine what functionality is supported. In general, I include in this chapter those functions and expressions most commonly supported by SQL implementations.
Use Set Functions
In 3, I introduce the concept of a function. As you might recall, a function is a named operation that performs predefined tasks that you can t normally perform by using SQL statements alone. It is a type of routine that takes input parameters, which are enclosed in parentheses, and returns values based on those parameters. An important property of functions is that each execution of a function returns exactly one data value, and this is why functions can be used in place of table column names in the SELECT list of a query the function returns a single value for each row processed by the query. You have already seen examples of functions, such as SUM and AVG. Both of these functions are known as set functions. A set function, sometimes referred to as an aggregate function, processes or calculates data and returns the appropriate values. Set functions require that the data be grouped in some way, such as would be the case if the GROUP BY clause were used in a SELECT statement. If the rows are not explicitly grouped in some way, the entire table is treated as one group. In this section, I discuss five set functions: COUNT, MAX, MIN, SUM, and AVG. These functions are all commonly supported in SQL implementations. For all the set functions, I provide examples of how you would use them in the SELECT clause of a SELECT statement. The examples are based on the table shown in Figure 10-1.
10:
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