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Retrieving Data Using Data Query Language
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7. The proper syntax for eliminating null values in query results is a. = NULL b. NOT = NULL c. <> NULL d. IS NULL e. IS NOT NULL 8. Standard SQL string functions include a. UPPER b. MIDDLE c. LOWER d. SUBSTR e. EXISTS 9. Standard SQL mathematical functions include a. LENGTH b. ROUND c. CAST d. MIN e. ABS 10. The UNION operator a. Eliminates duplicate rows in the result set b. Includes duplicate rows in the result set c. Combines two queries into a single joined query d. Combines the result sets of two queries into a single result set e. Is named JOIN in some SQL implementations Write the SQL statement for each of these problems. 11. Find all movies in the MOVIE table where the MPAA_RATING_CODE is a value other than R . 12. List the title and price of all movies that have a RETAIL_PRICE_DVD that is at least 19.99 but no more than 29.99, sorted in ascending sequence by price.
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13. List all movies that have a genre (MOVIE_GENRE_CODE) of Comdy and a rating (MPAA_RATING_CODE) of PG-13, along with movies that have a genre of Drama and a rating of R. 14. How many rentals (MOVIE_RENTAL table) have no value for the LATE_ OR_LOSS_FEE column 15. How many people have a last name (PERSON_FAMILY_NAME) that includes the letter a , in either uppercase or lowercase 16. List all movie titles that contain the word the anywhere in the title, capitalized or not. 17. Use the SUM function to nd the total of the RENTAL_FEE column in the MOVIE_RENTAL table. 18. List the rst ve characters of the last names (PERSON_FAMILY_NAME) from the PERSON table, but eliminate all duplicate values in the query results. 19. From the MOVIE table, list each genre (MOVIE_GENRE_CODE) with the average DVD price (RETAIL_PRICE_DVD) for that genre, rounded to two decimal places. 20. List each movie (MOVIE_ID) that has been rented (MOVIE_RENTAL table) with the total amount of money collected in rental fees (RENTAL_ FEE) and late-or-loss fees (LATE_OR_LOSS_FEE) for that movie. Hint: add RENTAL_FEE and LATE_OR_LOSS_FEE and then SUM that result for each value of MOVIE_ID. Some of the values for LATE_OR_LOSS_ FEE are null, so unless you use a function that replaces null values with another value (zero in this case), you will get null values in the result. In Oracle the function is called NVL, in Microsoft SQL Server it is called ISNULL, and in MySQL it is called IFNULL. (There doesn t appear to be an equivalent function in DB2.)
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CHAPTER
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Combining Data from Multiple Tables
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In 4, we looked at SQL statements that select data from a single table. However, it s often very useful to combine data from multiple tables in a single query. For example, in the listing of three columns from the MOVIE table shown in Figure 5-1, notice the values displayed for the MOVIE_GENRE column. While some of the rows contain values that you could easily guess, such as Drama, Forgn, and SciFi, others are not so obvious, such as ActAd, ChFam, and Indep. When I designed this database for the video store, I deliberately used codes instead of full descriptions for the movie genres in the MOVIE table. This is not only a good database design practice that follows the rules of normalization, but it also reduces the size of each row in the MOVIE table by using a ve-character code in
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Figure 5-1
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MOVIE table listing (three columns)
place of a description that could be 100 characters long. Moreover, as you will recall from the normalization discussion in 1, I have avoided the update anomaly should a movie genre description change, I don t have to update that description for every movie that is assigned to that genre in the MOVIE table. During normalization, the genre description was moved to its own table, MOVIE_GENRE, with the MOVIE_GENRE_CODE remaining as a foreign key in the MOVIE table, which references the primary key column (same column name) in the MOVIE_GENRE table. While some designers prefer primary key values that have no real-world meaning because the values might have to change on occasion, I chose to use a mnemonic code for the genre code because it allows those who are very familiar with the data to understand the genre assigned to the movies without having to look them up in the MOVIE_GENRE table. Obviously, you cannot display the MOVIE table as shown in Figure 5-1 on the video store s web page you need to obtain the full description of the movie genre from the MOVIE_GENRE table. That is the very point of this chapter: combining data from multiple tables in a single query. Figure 5-2 shows a listing of the MOVIE_GENRE table.
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