By Sikha Saha Bagui, Richard Walsh Earp
A person who interacts with latest sleek databases must recognize SQL (Structured question Language), the normal language for producing, manipulating, and retrieving database details. in recent times, the dramatic upward thrust within the approval for relational databases and multi-user databases has fueled a fit call for for software builders and others who can write SQL code successfully and properly. if you are new to databases, or desire a SQL refresher, studying SQL on SQL Server 2005 is a perfect step by step creation to this database question instrument, with every little thing you would like for programming SQL utilizing Microsoft's SQL Server 2005-one of the main strong and well known database engines used at the present time. lots of books clarify database thought. This consultant allows you to follow the speculation as you examine SQL. you don't want earlier database wisdom, or maybe earlier desktop knowledge.Based on a well-liked university-level path designed through authors Sikha Saha Bagui and Richard Walsh Earp, studying SQL on SQL Server 2005 begins with extremely simple SQL ideas, and slowly builds into extra advanced question improvement. each subject, inspiration, and concept comes with examples of code and output, in addition to routines that will help you achieve skillability in SQL and SQL Server 2005. With this publication, you will examine: starting SQL instructions, equivalent to how and the place to kind an SQL question, and the way to create, populate, regulate and delete tablesHow to customise SQL Server 2005's settings and approximately SQL Server 2005's functionsAbout joins, a standard database mechanism for combining tablesQuery improvement, using perspectives and different derived constructions, and straightforward set operationsSubqueries, combination services and correlated subqueries, in addition to indexes and constraints that may be further to tables in SQL Server 2005Whether you are an undergraduate computing device technological know-how or MIS pupil, a self-learner who has entry to the recent Microsoft database, or paintings on your company's IT division, studying SQL on SQL Server 2005 gets you up to the mark on SQL very quickly.
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Additional resources for Learning SQL on SQL Server 2005
Example text
What is a query? 3. A SQL query is typed in the _________ . 4. What is the purpose of the model database? 5. What is the purpose of the master database? 6. What is the purpose of the tempdb database? 7. What is the purpose of the USE command? 8. If you delete a table in the database, will the data in the table be deleted too? 9. What is the Parse Query button used for? How does this help you? 10. Tables are created in a ____________________ in SQL Server 2005. 20. Exercises The tables available in the Student_course database are shown in Appendix A.
DNAME -------------------Mary Beena Shantu Rani Susan Susan Monica Hillary Phoebe Mita RELATIONSHIP -----------Daughter Spouse Daughter Daughter Daughter Daughter Daughter Daughter Daughter SEX ---F F F F F F F F F F AGE -----9 31 5 3 4 5 1 16 12 NULL (22 row(s) affected) The output for this query lists all the columns of the Dependent table, but only the rows WHERE the sex attribute has been assigned a value of F. The WHERE clause can be used with several comparison operators: • > (greater than) • <> not equal • = equal • >= greater than or equal to • <= less than or equal to WHERE may be used in a query in addition to ORDER BY.
Negating the BETWEEN Operator The BETWEEN operator can be negated by using the keyword NOT before the BETWEEN operator. NOT BETWEEN allows you to determine whether a value does not occur within a given range of values. The general syntax of the NOT BETWEEN is: SELECT... 58 59 FROM WHERE NOT BETWEEN value1 AND value2 For example, if we want to find all the dependents who are not between the ages of 3 and 15, we would type the following: SELECT dname, age FROM Dependent WHERE age NOT BETWEEN 3 AND 15 which would give us the following 19 rows: dname -------------------Beena Raju Sam Monica Tom Hillary Jon Prakash Mithu Nita Barbara Rakhi Susan Susie Xi du Barbara Jake Mahesh Sally age -----31 1 1 1 45 16 2 1 1 2 26 2 22 22 22 23 2 2 22 (19 row(s) affected) Here the end points of the comparison are not included in the result set.