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SELECT Sname, Major, Cname FROM Student LEFT JOIN ClubMembership ON Student.Sname = ClubMembership.MemberName; The word LEFT says that the table on the left, Student, not ClubMembership, is the one for which all rows will be reported. Now the query will return one row for every student (more than one for students who belong to more than one club), and if a student is not a member of any club, the Cname column will be NULL. The word RIGHT can be used to affect the rows reported from the table on the right. Rearranging the order of tables in the join, and switching to the word RIGHT, gives a new query that reports the same result: SELECT Sname, Major, Cname FROM ClubMembership RIGHT JOIN Student ON Student.Sname = ClubMembership.MemberName If one wants to include all rows from both tables, regardless of whether the join condition is satisfied, use the word FULL instead of LEFT or RIGHT. To report only those students who are not members of any club, simply add a WHERE clause: SELECT Sname, Major, Cname FROM Student LEFT JOIN ClubMembership ON Student.Sname = ClubMembership.MemberName WHERE Cname IS NULL; Notice that one uses the word IS, instead of the equal sign, to test for the presence of a NULL value. A NULL value literally has no value. Since the value does not exist, one cannot test for equality of the value to any other, even to NULL. When testing for NULL values, always use IS NULL or IS NOT NULL. Suppose one wanted to know how many students participated in each club SQL has built-in functions for simple and frequently needed math functions. The standard five functions are COUNT, SUM, AVG, MIN, and MAX, and many DBMS vendors provide additional nonstandard functions as well. One could report the count of students in each club this way: SELECT Cname, COUNT(*) AS Membership FROM ClubMembership GROUP BY Cname ORDER BY Cname; COUNT(*) says count the occurrences of rows. The AS Membership phrase sets the column heading for the counts in the report to Membership. The GROUP BY phrase tells SQL how to break down the calculations when using the built-in function; that is, count rows (members) for each club. If there were clubs that no students had joined, and one wanted to include that information in the report, one could use an outer join along with the built-in count function to achieve the desired report: SELECT Club.Cname, COUNT(ClubMembership.Cname) AS Membership FROM Club LEFT JOIN ClubMembership ON Club.Cname = ClubMembership.Cname GROUP BY Club.Cname ORDER BY Club.Cname; Here a left join on Club and ClubMembership insures that all clubs are included in the report, even if the clubs have no members (no entries in ClubMembership). Also, since Cname is a column heading in both tables, each reference to Cname must also specify which table is being referenced. This query says to execute an outer join on Club and ClubMembership so that all clubs are included, and then count the occurrences of records for each club by grouping on club names.
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If one wanted to report the revenues for each of the clubs, this query using the SUM function would work: SELECT CM.Cname, SUM( C.Dues ) AS Revenue FROM ClubMembership CM JOIN Club C ON CM.Cname = C.Cname GROUP BY CM.Cname; This statement introduces the use of aliases for table names. In the FROM clause one may follow the name of the table with an abbreviation. In that case, the abbreviation may be used wherever the table name would otherwise be required, even in the beginning of the SELECT clause before the FROM clause is encountered! Most experienced SQL people make extensive use of table aliases to reduce the size of SQL statements and make the statements easier to read. SQL queries can also be nested, one within another. Suppose one were interested in finding all those students whose major advisor was not in the Math Department. One way to learn that is to nest one query regarding faculty and departments inside another regarding students: SELECT Sname, Dorm FROM Student WHERE MajorAdvisorName IN ( SELECT Fname FROM Faculty WHERE Dept != 'Math' ); This is called a nested query, or subquery. Usually it is possible to use a join instead of a nested query, but not always. Later we will discuss correlated subqueries, which cannot be translated into join expressions. In this case, however, here is the same query example executed as a join: SELECT Sname, Dorm FROM Student JOIN Faculty ON MajorAdvisorName = Fname WHERE Dept != 'Math'; In this case, since there is no ambiguity about which table is being referenced, the column names do not need to be qualified with a table reference. When using a subquery, the result columns must all come from the table named in the FROM clause of the first SELECT clause. Since that is the case in this example, one has the choice of using a join or a subquery. We will return to the SELECT statement later to touch on some additional topics, but now we will turn our attention to the other SQL DML statements. Having created the tables for a database, the next step will be to enter data. The SQL statement for adding rows to a table is INSERT. Here is the syntax for INSERT: INSERT INTO <table_name> ( <columnX>, <columnY>..., <columnZ>) VALUES( <valueX>, <valueY>..., <valueZ>); This says that the key words INSERT INTO must be followed by the name of a table. Then you must provide an open parenthesis, a list of one or more column names, and a close parenthesis. Then the key word VALUES must appear, followed by an open parenthesis, a list of column values corresponding to the column names, a closed parenthesis and a semicolon. And here is an example: INSERT INTO Student( Sname, Dorm, Room, Phone ) VALUES ('Mary Poppins', 'Higgins', 142, '585 223 2112');
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