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There are four constraints that can be specified: PRIMARY KEY, FOREIGN KEY, UNIQUE and CHECK. The primary key constraint identifies the column or columns that comprise the primary key. A foreign key constraint identifies a column that contains values of a primary key in a different table. Foreign keys are the mechanism for creating relationships among rows (entities) in different tables. A unique constraint requires all rows in the table to have unique values for the column or set of columns specified in the constraint. A unique constraint is sometimes called a candidate key, because the unique column(s) could be used as a primary key for the table, in place of the chosen primary key. Here are examples of several CREATE TABLE commands: CREATE TABLE Student ( Sname VarChar(25) Not Null, Dorm VarChar(20) Not Null, Room Integer, Phone Char(12), Major VarChar(20), MajorAdvisorName VarChar(25), CONSTRAINT StudentPK PRIMARY KEY( Sname, Dorm ), CONSTRAINT StudentDormFK FOREIGN KEY( DORM ) REFERENCES Dorm( Dorm ), CONSTRAINT StudentFacultyFK FOREIGN KEY( MajorAdvisorName ) REFERENCES Faculty( Fname ) ); CREATE TABLE Dorm ( Dorm VarChar(20) Not Null, RA VarChar(25), CONSTRAINT DormPK PRIMARY KEY( Dorm ) ); CREATE TABLE Faculty ( Fname VarChar(25) Not Null, Dept VarChar(20), CONSTRAINT FacultyPK PRIMARY KEY( Fname ) ); Another kind of constraint is the CHECK constraint. A CHECK constraint allows one to specify valid conditions for a column. For instance: CONSTRAINT FoundedCheck CHECK ( FoundedDate > 1900), CONSTRAINT ZipCheck CHECK ( zip LIKE '[0-9][0-9][0-9][0-9][0-9]' ), The first constraint will insure that the column FoundedDate has a value more recent than 1900, and the second will insure that the column zip will consist of five numeric characters. In the case of the second CHECK constraint, the syntax says that zip must be like five characters, each of which is a numeric character between 0 and 9. This syntax, too, varies by database vendor, so you must consult the documentation of your DBMS for implementation specifics. Having created tables in the database, one sometimes must dispose of them. One might guess that the keyword would be delete or dispose or destroy . While delete is a key word in SQL, it is used for removing data from the database, not for getting rid of structures like a table. The way to remove a database object like a table is to use the DROP command. Here is the syntax: DROP < object_type > < object_name >; The key word DROP must be followed by the type of database structure and the name of the database structure. Object types include TABLE, VIEW, PROCEDURE (stored procedure), TRIGGER and some others.
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To dispose of the Student table, one can use this command: DROP TABLE Student; When one must modify a database object like a table, the command to use is ALTER. For instance, to add a birthdate column to the student table, one could use this command to add a column named Birthdate of data type Date: ALTER TABLE Student ADD COLUMN Birthdate Date; In addition to adding columns, one can use the ALTER TABLE command to drop columns, add or drop constraints, and set or drop defaults. DML DATA MANIPULATION LANGUAGE The first DML statement to learn is SELECT. The SELECT statement provides the means of retrieving information from the database. It is a very flexible command with numberless variations and much to know about using it. In the simplest case, use SELECT to retrieve values for certain columns in a table, such as the Sname and Major values in the Student table we created in the previous section: SELECT Sname, Major FROM Student; This statement will retrieve one row for each student and display the student s name and major. One can also be selective about which rows one displays by adding a WHERE clause: SELECT Sname FROM Student WHERE Major = 'Computer Science'; This statement, or query, will return the names of all Computer Science majors, and no others. If one wants to retrieve all columns for each qualifying row, one can use the asterisk to specify that all columns be displayed: SELECT * FROM Student WHERE Major = 'Computer Science'; The WHERE clause itself is very flexible. In addition to the equal sign, one can use the comparison and logical operators given in Table 8-1. Suppose one wants to find all the students named Jones who are not math or computer science majors, and who live in either Williams or Schoelkopf dormitory. One possible query is the following: SELECT * FROM Student WHERE Sname LIKE '%Jones' AND Major NOT IN ( 'Math', 'Computer Science' ) AND ( Dorm = 'Williams' OR Dorm = 'Schoelkopf' ); The results of a query can be sorted, too. All one need do is add the ORDER BY clause. For instance: SELECT Sname FROM Student WHERE Major = 'Computer Science' ORDER BY Sname;
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