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Once you execute this statement, the row is deleted and the trigger is invoked. The row is then inserted into the CD_OUT table. You can verify the deletion by using the following SELECT statement to view the contents of the CD_STOCK table:

SELECT * FROM CD_STOCK;

Scalar-Valued Expressions (SQL2)

The query results from this statement should no longer include the Past Light row. However, if you execute the following SELECT statement, you ll see that a row has been inserted into the CD_OUT table:

SELECT * FROM CD_OUT;

The simplest extended query capabilities in SQL2 are those that provide more data manipulation and calculation power involving individual data values (called scalars in the SQL2 standard). Within the SQL language, individual data values tend to have three sources: The value of an individual column within an individual row of a table A literal value, such as 125.7 or "ABC" A user-supplied data value, entered into a program In this SQL query: SELECT NAME, EMPL_NUM, HIRE_DATE, (QUOTA * .9) FROM SALESREPS WHERE (REP_OFFICE = 13) OR TITLE = 'VP SALES' the column names NAME, EMPL_NUM, HIRE_DATE, and QUOTA generate individual data values for each row of query results, as do the column names REP_OFFICE and TITLE in the WHERE clause. The numbers .9 and 13 and the character string "VP SALES" similarly generate individual data values. If this SQL statement appeared within an embedded SQL program (described in 17), the program variable office_num might contain an individual ata value, and the query might appear as: SELECT NAME, EMPL_NUM, HIRE_DATE, (QUOTA * .9) FROM SALESREPS WHERE (REP_OFFICE = :office_num) OR TITLE = 'VP SALES' As this query and many previous examples have shown, individual data values can be combined in simple expressions, like the calculated value QUOTA * .9. To these basic SQL1 expressions, SQL2 adds the CAST operator for explicit data type conversion, the CASE operator for decision-making, the NULLIF operation for conditionally creating a NULL value, and the COALESCE operator for conditionally creating non-NULL values.

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Each time a row is deleted from the CD_STOCK table, two values from that row will be inserted into the CD_OUT table. As with other trigger definitions, you could have included a WHEN clause in your CREATE TRIGGER statement so that the triggered SQL statements are executed only when the search condition specified in the WHEN clause evaluates to true. Otherwise, the statements are not executed. The row will still be deleted from the CD_STOCK table, but nothing will be inserted into the CD_OUT table.

The allure of the public market over the last decade has drawn many people from private companies, at least partly because a lot of private companies have been loath to give up ownership Equity stakes are often awarded slowly, grudgingly, and after executives have jumped through multiple hoops to earn them To be competitive in the ongoing war for talent, private companies will have to continue moving in the direction of developing creative ownership In time this may be another point of convergence with publicly traded companies as they seek to develop and implement new stock ownership concepts There are many possi-.

Try This 14-1

Throughout this chapter, we have looked at how to create the three basic types of triggers insert, update, and delete triggers. You will now create your own triggers (one of each of the three types) in the INVENTORY database. The triggers will be defined to log data modification activity that occurs in the ARTISTS table. Whenever data is modified in the ARTISTS table, a row will be inserted into a log table, which you will create. The log table will record the type of action taken (insert, update, delete), the ARTIST_ID value for the modified row, and a timestamp of when the row was inserted into the table. As a result, whenever you execute an INSERT, UPDATE, or DELETE statement against the ARTISTS table, a row will be inserted into the new table for each row that is modified. As with other Try This exercises in this book (particularly 13, when you created stored procedures),

The CAST Expression (SQL2)

14:

you should refer to the documentation for your SQL implementation when creating triggers to make certain you follow that product s standards. There are a lot of variations among the SQL implementations. You can download the Try_This_14.txt file, which contains the SQL statements used in this exercise.

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