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create trigger bef_upd_ord before update on orders begin /* Calculate order total before changes */ old_total = add_orders(); end; create trigger aft_upd_ord after update on orders begin /* Calculate order total after changes */ new_total = add_orders(); end; create trigger dur_upd_ord before update of amount on orders referencing old as pre new as post /* Capture order increases and decreases */ for each row when (:post.amount != :pre.amount) begin if post.amount != :pre.amount) then if (:post.amount < :pre.amount) then /* Write decrease data into table */ insert into ord_less values (:pre.cust, :pre.order_date, :pre.amount, :post.amount); elsif (:post.amount > :pre.amount) then /* Write increase data into table */ insert into ord_more values (:pre.cust, :pre.order_date, :pre.amount, :post.amount); end if; end if; end;

An official standard for SQL was initially published by the American National Standards Institute (ANSI) and the International Standards Organization (ISO) in 1986, and was expanded in 1989 and again in 1992 and 1999. SQL is also a U.S. Federal Information Processing Standard (FIPS), making it a key requirement for large government computer contracts. Over the years, other international, government, and vendor groups have pioneered the standardization of new SQL capabilities, such as call-level interfaces or object-based extensions. Many of these new initiatives have been incorporated into the ANSI/ISO standard over time. The evolving standards serve as an official stamp of approval for SQL and have speeded its market acceptance.

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These trigger structures and their options provide 14 different valid Oracle trigger types (12 resulting from a choice of INSERT/DELETE/UPDATE triggers for BEFORE or AFTER processing at the row or statement level (3 2 2), and two more from instead-of triggers at

IBM Endorsement and Commitment (DB2)

20:

SQL was originally invented by IBM researchers and has since become a strategic product for IBM based on its flagship DB2 database. SQL support is available on all major IBM product families, from personal computers through midrange systems (AS/400 and UNIX-based servers) to IBM mainframes. IBM s initial work provided a clear signal of IBM s direction for other database and system vendors to follow early in the development of SQL and relational databases. Later, IBM s commitment and broad support speeded the market acceptance of SQL. IBM s SQL reach today extends well beyond its own computer systems business. SQL-based products that IBM has developed or acquired now run across a broad range of hardware, in many cases from competing computer vendors such as Sun or Hewlett-Packard.

SMALLINT BIT(len) BIT VARYING(len) NUMERIC(precision,scale) DECIMAL(precision,scale) DEC(precision,scale) FLOAT(precision) REAL DOUBLE PRECISION DATE TIME(precision) TIMESTAMP(precision) INTERVAL

the statement or row level). In practice, relational databases built using Oracle don t tend to use instead-of triggers; they were introduced in Oracle8 to support some of its newer objectoriented features.

Microsoft Commitment (SQL Server, ODBC, and ADO)

Triggers pose some of the same issues for DBMS processing that UPDATE and DELETE rules present. For example, triggers can cause a cascaded series of actions. Suppose a user s attempt to update a table causes a trigger to fire, and within the body of that trigger is an UPDATE statement for another table. A trigger on that table causes the UPDATE of still another table, and so on. The situation is even worse if one of the fired triggers attempts to update the original target table that caused the firing of the trigger sequence in the first place! In this case, an infinite loop of fired triggers could result. Various DBMS systems deal with this issue in different ways. Some impose restrictions on the actions that can be taken during execution of a trigger. Others provide built-in functions that allow a trigger s body to detect the level of nesting at which the trigger is operating. Some provide a system setting that controls whether cascaded trigger processing is allowed. Finally, some provide a limit on the number of levels of nested triggers that can fire. One additional issue associated with triggers is the overhead that can result during very heavy database usage, such as when bulk data is being loaded into a database. Some DBMS brands provide the ability to selectively enable and disable trigger processing to handle this situation. Oracle, for example, provides this form of the ALTER TRIGGER statement:

Microsoft has long considered database access a key part of its Windows personal computer software architecture. Both desktop and server versions of Windows provide standardized relational database access through Open Database Connectivity (ODBC), a SQL-based call-level API. Leading Windows software applications (spreadsheets, word processors, databases, etc.) from Microsoft and other vendors support ODBC,

ALTER TRIGGER BEF_UPD_ORD DISABLE;

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