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Only ${antbook-ant.jar}, a property with the full path to our tasks JAR file, is needed for the <taskdef>, but Lucene and JTidy are used by the task itself when invoked and so all dependencies used in the task should be included. The properties file is generated dynamically from a template by using XDoclet. Later, if we implement more Ant tasks in our project, it won t be necessary to have another, often overlooked, manual step to add the task to the properties file. The only missing piece to generate the properties file is the task name. It is added to IndexTask as a class-level Javadoc comment: @ant.task name="index":2

EXISTS is a powerful predicate that allows you to efficiently check whether or not any rows result from a given query. The input to EXISTS is a subquery, which is typically but not necessarily correlated, and the predicate returns TRUE or FALSE, depending on whether the subquery returns at least one row or none. Unlike other predicates and logical expressions, EXISTS cannot return UNKNOWN. Either the input subquery returns rows or it doesn't. If the subquery's filter returns UNKNOWN for a certain row, the row is not returned. Remember that in a filter, UNKNOWN is treated like FALSE. In other words, when the input subquery has a filter, EXISTS will return TRUE only if the filter is TRUE for at least one row. The reason I'm stressing this subtle point will become apparent shortly. First, let's look at an example that will demonstrate the use of EXISTS. The following query returns all customers from Spain that made orders, generating the output shown in Table 4-6 : SELECT CustomerID, CompanyName FROM dbo.Customers AS C WHERE Country = N'Spain' AND EXISTS (SELECT * FROM Orders AS O WHERE O.CustomerID = C.CustomerID);

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In order for the setProperty tag to work properly, parameter names must follow the syntax where the first letter of the parameter name begins with a lower case letter.

using using using using System; System.Collections.Generic; System.Linq; System.Text;

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public class Bid { ... private Item item; public void setItem(Item item) { this.item = item; } public Item getItem() { return item; } ... }

// This static method is called when the application shuts down, // to kill the pool of objects. public static void ShutdownThePool() { // This will stop finalized objects from // adding themselves back into the pool. pool = null; }

Most queues in your applications will be static in nature. The design of your system will require whatever queues it needs, and these will be provisioned when the application is deployed and left to run as is. Alternatively, you can create queues dynamically. For example, you can create a new custom queue for each new order that s being processed by the system. This helps your application dynamically scale, and it also helps you separate different concerns in your system. Perhaps you re building a system for a value-added network that manages the flow of purchase order messages from vendors and suppliers. All day long you re signing up new vendors and suppliers, and some occasionally stop using your service. A great way to automate the provisioning of the queues that are needed for each customer that signs up is to dynamically create the queues and infrastructure as they sign up and are approved as users of the system. You want to pay careful attention to the state of each customer, and make sure that any leftover data is cleaned up, and entities are deprovisioned as customers stop using your service. You don t want to have to pay for unneeded infrastructure that s forgotten and left lying around. Another scenario would be even more short term than the preceding one. Think back to the image-processing scenario. Because each image needs a queue to manage its breakdown and processing, you could dynamically create a queue for each new image job that s submitted. When the processing is complete, the queue could be torn down.

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