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The most interesting new controls in the preceding code are those that relate to a producer and a consumer. The Producer and the Consumer point to a server-side destination, which (as you will have noticed) have the same value. Data services provide messaging services, which are accessible through destinations like the remoting services. Most data services support the two main messaging domains: point-to-point and publish-and-subscribe. Point-to-point messaging is about sending messages from one queue to the other. Publish-and-subscribe messaging is a way of distributing information where topics act as the central conduit. Consumers subscribe to a topic, and producers send messages to it. All subscribed consumers receive all the messages. Although the concept of messaging domains and the related roles are fairly universal, each programming language or platform has its own set of frameworks and tools to handle them. In Java, messaging is defined by a specification called Java Message Service (JMS). BlazeDS has the ability to plug in adapters to process messages using custom parsers, formatters, and message handlers. By default, it includes adapters for AS3 and JMS. This example does not involve any communication with JMS or Java, but it is restricted to two or more Flex clients, and so utilizes the ActionScript adapter Here is the configuration snippet from messaging-config.xml, which may explain things a bit further:

As can be seen from the rear image, they are both presented as files However, if you were to view the contents of the sparse bundle by right-clicking on it and selecting Show package contents, you will clearly see the underlying contents, including some configuration files and the separate bands..

<service id="message-service" class="flex.messaging.services.MessageService" messageTypes="flex.messaging.messages.AsyncMessage"> <adapters> <adapter-definition id="actionscript" class="flex.messaging.services.messaging. adapters.ActionScriptAdapter" default="true"/> <adapter-definition id="jms" class="flex.messaging.services. messaging.adapters.JMSAdapter"/> </adapters> <destination id=" CollaborationTopic"> <adapter ref="actionscript"/>

Figure 9 9. Finder presentation of a sparsebundle and sparseimage file (back), and the contents of a sparsebundle image (front)

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//Get the portal context SPSite portal = new SPSite(Page.Request.Url.GetLeftPart(UriPartial.Authority)); PortalContext context = PortalApplication.GetContext(portal.ID); //Get the list of audiences for the user AudienceManager manager = new AudienceManager(context); ArrayList audienceIDList = manager.GetUserAudienceIDs(); if(audienceIDList != null) { IEnumerator audienceNameIDs = audienceIDList.GetEnumerator(); while(audienceNameIDs.MoveNext()) { //Get the set of items for this audience String audienceName = ((AudienceNameID)audienceNameIDs.Current).AudienceName; DataView dataView = new DataView(list, "Audience='" + audienceName + "'", "",DataViewRowState.CurrentRows); if (dataView.Count!=0) { //Write out the audience name output.Write( " <tr><td class=\"ms-sectionheader\" colspan=\"" + colSpan.ToString() + "\">" + audienceName + "</td></tr>"); //Write out the rows foreach (DataRowView rowView in dataView) { output.Write(" <tr>"); //Write out columns IEnumerator columns = rowView.Row.ItemArray.GetEnumerator(); while(columns.MoveNext()) { if(columns.Current.ToString()!=audienceName) output.Write(" <td>" + columns.Current.ToString() + "</td>"); }

<properties> <server> <max-cache-size>1000</max-cache-size> <message-time-to-live>0</message-time-to-live> <durable>true</durable> <durable-store-manager> flex.messaging.durability.FileStoreManager </durable-store-manager> </server> <network> <session-timeout>0</session-timeout> <throttle-inbound policy="ERROR" max-frequency="50"/> <throttle-outbound policy="REPLACE" max-frequency="500"/> </network> </properties> <channels> <channel ref="samples-rtmp"/> <channel ref="samples-amf-polling"/> </channels> </destination> </service>

Just as a sparseimage adds flexibility over standard static disk images due to their reduced spaced consumption, sparse bundles introduce additional flexibility over sparse

This configuration file is divided into three parts to make it easier for you to understand the details part by part and not get consumed in the complexity of a large configuration file. The three parts are as follows:

image files in regards to disk efficiency with larger data sets Because of this, they are a good choice over sparse image files as image capacity grows The downside to sparse bundles comes at the expense of their structure Because they are in fact directories at a low level, there is possibility that files can be misplaced or removed This is particularly problematic when the file will be presented on alternate platforms, as these platforms will not present the bundle as a single file, users viewing the file from such a platform will see a directory, which contains a large number of files, as seen in the front-most image of Figure 9 9 In such a case, if a user modifies or moves one of these files, then the integrity of the sparse bundle image will be compromised.

output.Write(" } } } } //close the table output.Write("</table>"); } else {

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