The majority of the examples in this book involve the use of two tables, EMP and DEPT. The EMP table is a simple 14-row table with only numeric, string, and date fields. The DEPT table is a simple four-row table with only numeric and string fields. These tables appear in many old database texts, and the many-to-one relationship between departments and employees is well understood. While I'm on the topic of the example tables, I want to mention that all but a very few solutions in this book run against these tables. Nowhere do I tweak my example data to set up a solution that you would be unlikely to have a chance of implementing in the real world, as some books do. And while I'm on the topic of solutions, let me just mention that whenever possible I've tried to provide a generic solution that will run on all five RDBMSs covered in this book. Often that's not possible. Even so, in many cases more than one vendor shares a solution. Because of their mutual support for window functions, for example, Oracle and DB2 often share solutions. Whenever solutions are shared, or at least are very similar, discussions are shared as well. The contents of EMP and DEPT are shown below, respectively: select * from emp; EMPNO ENAME JOB MGR HIREDATE SAL COMM DEPTNO ----- ------ --------- ---- ----------- ---- ---- ------- 7369 SMITH CLERK 7902 17-DEC-1980 800 20 7499 ALLEN SALESMAN 7698 20-FEB-1981 1600 300 30 7521 WARD SALESMAN 7698 22-FEB-1981 1250 500 30 7566 JONES MANAGER 7839 02-APR-1981 2975 20 7654 MARTIN SALESMAN 7698 28-SEP-1981 1250 1400 30 7698 BLAKE MANAGER 7839 01-MAY-1981 2850 30 7782 CLARK MANAGER 7839 09-JUN-1981 2450 10 7788 SCOTT ANALYST 7566 09-DEC-1982 3000 20 7839 KING PRESIDENT 17-NOV-1981 5000 10 7844 TURNER SALESMAN 7698 08-SEP-1981 1500 0 30 7876 ADAMS CLERK 7788 12-JAN-1983 1100 20 7900 JAMES CLERK 7698 03-DEC-1981 950 30 7902 FORD ANALYST 7566 03-DEC-1981 3000 20 7934 MILLER CLERK 7782 23-JAN-1982 1300 10 select * from dept; DEPTNO DNAME LOC ------ -------------- --------- 10 ACCOUNTING NEW YORK 20 RESEARCH DALLAS 30 SALES CHICAGO 40 OPERATIONS BOSTON Additionally, you will find four pivot tables used in this book; T1, T10, T100, and T500. Because these tables exist only to facilitate pivots, I did not find it necessary to give them clever names. The number following the "T" in each of the pivot tables signifies the number of rows in each table starting from 1. For example, the values for T1 and T10: select id from t1; ID ---------- 1 select id from t10; ID ---------- 1 2 3 4 5 6 7 8 9 10 As an aside, some vendors allow partial SELECT statements. For example, you can have SELECT without a FROM clause. I don't particularly like this, thus I select against a support table, T1, with a single row, rather than using partial queries. Any other tables are specific to particular recipes and chapters, and will be introduced in the text when appropriate. |