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The CREATE TRIGGER statement is used by most DBMS brands that support triggers to define a new trigger within the database. It assigns a name to the trigger (UPD_TGT for this one) and identifies the table the trigger is associated with (SALESREPS) and the update action(s) on that table that will cause the trigger to be executed (INSERT in this case). The body of this trigger tells the DBMS that for each new row inserted into the table, it should execute the specified UPDATE statement for the OFFICES table. The QUOTA value from the newly inserted SALESREPS row is referred to as NEW.QUOTA within the trigger body.

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Other SQL products impose a maximum limit, but it is always a very generous one two billion rows or more is common..

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Many SQL-based DBMS products provide a callable API for programmatic database access: Depending on the particular DBMS brand and its history, the callable API may be an alternative to an embedded SQL approach, or it may be the primary method by which an application program accesses the database A callable interface puts query processing, parameter passing, statement compilation, statement execution, and similar tasks into the call interface, keeping the programmatic SQL language identical to interactive SQL With embedded SQL, these tasks are handled by special SQL statements (OPEN, FETCH, CLOSE, PREPARE, EXECUTE, and so on) that are unique to programmatic SQL Microsoft s ODBC is a widely supported, callable API that provides an effective way for an application program to achieve independence from a particular DBMS However, differences between DBMS brands are reflected in varying support for ODBC functions and capabilities.

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Triggers can be extremely useful as an integral part of a database definition, and they can be used for a variety of different functions, including these: I Auditing changes. A trigger can detect and disallow specific updates and changes that should not be permitted in the database. I Cascaded operations. A trigger can detect an operation within the database (such as deletion of a customer or salesperson) and automatically cascade the impact throughout the database (such as adjusting account balances or sales targets). I Enforce interrelationships. A trigger can enforce more complex interrelationships among the data in a database than those that can be expressed by simple referential integrity constraints or check constraints, such as those that require a sequence of SQL statements or IF THEN ELSE processing. I Stored procedure invocation. A trigger can call one or more stored procedures or even invoke actions outside the DBMS itself through external procedure calls in response to database updates. In each of these cases, a trigger embodies a set of business rules that govern the data in the database and modifications to that data. The rules are embedded in a single place in the database (the trigger definition). As a result, they are uniformly enforced across all applications that access the database. When they need to be changed, they can be changed once with the assurance that the change will be applied uniformly.

The SQL/Call-Level Interface (SQL/CLI) standard is based on ODBC and is compatible with it at the core level SQL/CLI provides a callable API to complement the embedded SQL interface specified in the SQL standard Many DBMS vendors support the SQL/CLI because of their historical support for ODBC For Java programs, the JDBC interface is the de facto industry standard callable API, supported by all of the major DBMS products and defined as the database management API within the Java2 Enterprise Edition (J2EE) standard implemented by all of the major application server products The proprietary callable APIs of the different DBMS brands remain important in the market (especially Oracle s OCI) All of them offer the same basic features, but they vary dramatically in the extended features that they offer and in the details of the calls and data structures that they use.

The major disadvantage of triggers is their potential performance impact. If a trigger is set on a particular table, then every database operation that attempts to update that table causes the DBMS to execute the trigger procedure. For a database that requires very high data insertion or update rates, the overhead of this processing can be considerable. This is especially true for bulk load operations, where the data may have already been prechecked for integrity. To deal with this disadvantage, some DBMS brands allow triggers to be selectively enabled and disabled, as appropriate.

In general, DBMS vendors put considerable performance-tuning work into their proprietary APIs and tend to offer ODBC and/or SQL/CLI support as a check-off feature Thus, applications with higher performance requirements tend to use the proprietary APIs and are locked into a particular DBMS brand when they do..

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