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You can deal with multiple submittal validation in essentially two ways. The first occurs on the server. Server side refers to a script located on the server that is receiving the data; client side is more browser related (and explained in the next example). Because the server has no actual access to the browser, validating multiple submissions can be a bit trickier. While you can accomplish this goal in a number of ways from a server-side perspective, we prefer to use a session-based method. Basically, once the submit button has been clicked, the server logs the request from the individual user. If the user attempts to resubmit a request, the script notes a request is already in motion from this user and denies the subsequent request. Once the script has finished processing, the session is unset, and you have no more worries. For the following example, you will need a test.txt text file that you can create and place relative to the script. (Or you can ensure that you have write privileges on the working directory, and the script will attempt to create it for you.) Keep in mind that the file must have the proper privileges set for writing (CHMOD to 777 to keep things simple).

The last group of predicates comprises those that use subqueries to supply values for assertions of various kinds in search conditions. The predicating keywords are ALL, ANY, EXISTS, IN, SINGULAR, and SOME. They came to be referred to as existential because all play roles in search predicates that test in some way for the existence of the left-side value in the output of embedded queries on other tables. All of these predicators summarized in Table 21-6 are involved in some way with subqueries. The topic of subqueries gets detailed treatment in the next chapter.

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Tests whether the comparison is true for ALL values returned by the subquery. Exists (or not) in at least one value returned by the subquery. Exists (or not) in at least one value returned by the subquery. Tests whether exactly one value is returned by the subquery. If NULL is returned, or more than one value, then SINGULAR is false (and NOT SINGULAR is true). Tests whether the comparison is true for at least one value returned by the subquery. Tests whether the comparison is true for at least one value returned by the subquery. SOME and ANY are equivalent.

With multiple components voting in a transaction, how does COM+ know when the vote has ended The votes are counted when the transaction root object is finished The root is the component and method that originally caused the creation of a new transaction It may call other components that in turn call other components, and so on But the votes that have been cast are finally counted when the original method returns to its caller Any components that are called during the lifetime of the transaction are called interior objects A COM+ context actually supports two separate but related flags The consistent flag indicates that the object is in either a consistent or inconsistent state When we vote to commit a transaction, this flag is set to indicate that everything is consistent The done flag determines if the object has completed its work and can be deactivated.

By far the most useful of all of the existential predicators, EXISTS provides the fastest possible method to test for the existence of a value in another table.

<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <title>Sample 13.6</title> <meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1" /> </head> <body> <div style="width: 500px; text-align: left;"> <form action="sample13_6_process.php" method="post"> <p>Example:</p> <input type="hidden" name="submitted" value="yes" /> Your Name: <input type="text" name="yourname" maxlength="150 /><br /> <input type="submit" value="Submit" style="margin-top: 10px;" /> </form> </div> </body> </html> < php //Start the session state. session_start ();

Often, in stored procedures or queries, you want to know whether there are any rows in a table meeting a certain set of criteria. You are not interested in how many such rows exist you only want to determine whether there is at least one. The strategy of performing a COUNT(*) on the set and evaluating any returned value greater than 0 as true is costly in Firebird.

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