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Special PSQL for Triggers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 645 Updating Other Tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 652 Changing Triggers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 661 Dropping Triggers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 663 Up Next . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 663

All updates to the resources will be committed or rolled back as a single unit of work Multiple components can also work together within a single transaction, perhaps with each one performing an update to a different resource The COM+ context is a key ingredient when using automatic transactions A COM+ context is an environment that is created by COM+ where objects live after they are activated Each context has a set of properties that determine the runtime characteristics of the component Every COM+ component is activated into either a new or existing context A COM+ context supports two separate but related flags that are used during transaction processing The consistent flag is used to cast a vote to commit or abort the transaction The done flag indicates that the component s vote is now final Several recipes in this chapter demonstrate ways to indirectly set these context flags.

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The header() function is rather nice in that it will redirect you automatically to the appropriate file (providing it exists) without a single hiccup in the processing. You will simply find yourself at the appropriate page. You can even use the header() function with the Location parameter to send you to a page not currently on the server on which the script is located. As such, this functionality can be rather effective even as a simple page redirection script.

A term you will sometimes encounter with respect to sets including tables is cardinality. Cardinality describes the number of rows in a set, which might be a table or an output set. More loosely, you may encounter cardinality of a row or cardinality of a key value, referring to the position of a row in an ordered output set. The term used to refer to the number of columns in a set is degree. By extension, you may encounter a phrase like the degree of a column, meaning its position in the left-to-right order of the columns in the set.

Just as the SELECT . . . FROM part of a retrieval query specifies a set for an output or cursor operation, so the other DML statements (INSERT, UPDATE, and DELETE) specify input sets identifying the data upon which the operation is to be performed. An INSERT query s input set is specified by identifying a single table and a leftto-right ordered list of identifiers for columns that are to receive input values in the subsequent VALUES() clause. The VALUES() clause must supply a list of values that corresponds exactly to the input set s order and the data types of its members.

The following example defines an input set consisting of three columns from TABLEB. The constants in the VALUES() clause will be checked to ensure that there are exactly three values and that they are of the correct data types:

Naturally, sometimes you will want to use the header() function to output a type of file format that may not be an actual web page. Thankfully, the header function is more than versatile enough to take care of this issue. To make the most out of this function, you can effectively output other file types by simply declaring the content type you want to output. This functionality can be handy in circumstances where you want to deploy a document to a user or perhaps even output a dynamic image. You can use the following script to output a JPG image to the user.

INSERT INTO TABLEB(COLA, COLB, COLC) VALUES(99, 'Christmas 2004', '2004-12-25');

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