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13. A unique identi er
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a. Must be identi ed before a view can be normalized b. May be composed of only one attribute c. May be formed by inventing a new attribute d. May be composed of zero, one, or many attributes e. May be composed of concatenated attributes 14. First normal form resolves anomalies caused by a. Partial dependency on the primary key b. Repeating groups c. Transitive dependency d. Multivalued attributes e. One-to-many relationships 15. Second normal form resolves anomalies caused by a. Partial dependency on the primary key b. Repeating groups c. Transitive dependency d. Multivalued attributes e. One-to-many relationships 16. Third normal form resolves anomalies caused by a. Partial dependency on the primary key b. Repeating groups c. Transitive dependency d. Multivalued attributes e. One-to-many relationships 17. To be in third normal form, a relation a. Must be in rst normal form b. Must be in second normal form c. Must have a unique identi er d. Must have no transitive dependencies e. Must have no repeating groups or multivalued attributes
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18. When transforming an unnormalized relation to rst normal form a. Attributes depending on only part of the key are removed b. Multivalued attributes are moved to a new relation c. Attributes that are transitively dependent are removed d. Repeating groups are moved to other relations e. The unique identi er of the original relation is copied to the new relation 19. Partial dependency issues a. Are resolved by second normal form b. Are resolved by third normal form c. Can only occur in relations with concatenated primary keys d. Occur when a non-key attribute depends on part of the primary key e. Occur when a non-key attribute depends on another non-key attribute 20. Transitive dependency issues a. Are resolved by second normal form b. Are resolved by third normal form c. Can only occur in relations with concatenated primary keys d. Occur when a non-key attribute depends on part of the primary key e. Occur when a non-key attribute depends on another non-key attribute
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This chapter introduces SQL, which will be expanded upon throughout the remainder of this book. SQL has become the universal language for relational databases and nearly every DBMS in modern use supports it. There is little doubt that this wide acceptance is the result of the time and effort that went into the development of language features and standards, making SQL highly portable across different RDBMS products. Your learning experience with SQL will be greatly enhanced if you actively use SQL and a relational database to try the examples in this book as you read. Moreover, you ll learn even more if you experiment with your own variations of the examples. The video store database used throughout this book can be implemented on a relational database of your choice. Instructions for downloading the SQL statements that de ne the tables and load them with sample data appear toward the end of 1.
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SQL (Structured Query Language) is a standard language used to communicate with a relational database. The name may be pronounced either as the letters S-Q-L or as the word sequel. A query is simply a request that is sent to the database for which the database sends some form of response back to the sender. SQL is the most common language used to form database queries. SQL is considered a nonprocedural or declarative language, which means that you tell the computer the results you want without telling it how to achieve them. For example, if you want the average of a column of numbers, you simply use the AVG function to ask for it. There is no need to count how many numbers are in the column and to divide by that count the SQL language processor in the DBMS handles all of that for you. SQL functions are presented in detail in 4. It is important to understand that SQL is not a procedural language like C, Pascal, Basic, FORTRAN, COBOL, or Ada. A procedural language uses a series of statements that are executed in sequence. Procedural languages also include statements that can alter the execution sequence by branching to other parts of the procedure or looping back through some set of statements in the procedure. Many RDBMS vendors have procedural extensions to their basic SQL language, such as Oracle s PL/SQL (Procedural Language/SQL) or Microsoft s Transact-SQL, but keep in mind that these are extensions to SQL that form new languages the SQL in them is still nonprocedural. SQL should also not be confused with object-oriented programming languages such as Java and C++. Simply stated, SQL is a language for managing and maintaining relational databases, not a language suitable for general programming of applications, such as order entry and payroll systems. SQL is often used in conjunction with the procedural and object-oriented languages mentioned earlier to handle storing and retrieving data, with statements in the more general programming language used for other programming tasks, such as presenting data on a web page and responding to user input from the keyboard and mouse. When an interaction with the database is required, procedural language statements form the SQL statement, send it to the RDBMS for processing, and receive the results from the RDBMS and process them appropriately.
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