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- (void)accessoryDidDisconnect:(EAAccessory *)accessory { NSLog(@"Controller Removed"); } #pragma mark NSStreamDelegateEventExtensions - (void)stream:(NSStream *)aStream handleEvent:(NSStreamEvent)eventCode { switch (eventCode) { case NSStreamEventNone: break; case NSStreamEventOpenCompleted: break; case NSStreamEventHasBytesAvailable: [self _readData]; break; case NSStreamEventHasSpaceAvailable: [self _writeData]; break; case NSStreamEventErrorOccurred: break; case NSStreamEventEndEncountered: break; default: break; } } #pragma mark #pragma mark Basic Object Methods - (void)dealloc { [self closeSession]; [self setupControllerForAccessory:nil withProtocolString:nil]; _writeData = nil; [_writeData release]; [super dealloc]; } @end
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reaches one of the nodes, it will update the database and its in-memory cache to reflect the new value of, say, John Moe . If a second request to retrieve the customer information for customer #123 hits a different node, the returned data will, however, still contain the old and meanwhile incorrect value of John Doe . Does this mean that you cannot use any in-memory caches when planning to deploy your application in a cluster No, definitely not. It just means that you have to look quite carefully at the type of data you are working with. Therefore, one of the first steps in creating scalable applications is to analyze the different kinds of data that is used by your application. It can be advantageous to split the list of database tables into three groups: Group 1: Static data. Group 2: Near-static, seldom changed data. Data that is updated in advance or that is only changed during certain time windows (for example, daily at midnight). Group 3: Operative, dynamic data. If you look at an online shop as a sample, static data are usually lists of zip codes, cities, payment terms, or the list of acceptable means of payment (various credit cards, bank transfer, check, cash, etc.). More often than not, this is also data that cannot be changed by the application itself but that is statically defined or altered using specific administrative tools. In the second group, you will find data that usually doesn t change more often than once a day. These are things like a list of articles, prices, etc. This group can also contain data that is changed at certain intervals, like once a day or once every hour. It is only important that you know exactly when and how often this data is changed. The last group of operative data contains all your real transaction data, the meat of your business. This is usually the most heavily changed data in your application, like customer information, inventory levels, and orders. You will see that, in practice, most of the tables in your database will contain data of the first two groups, and only few tables actually contain data that is changed on a regular basis by business transactions. If you notice during the analysis process that some tables in your system actually contain data of different categories, you can change the database model or simply treat the two kinds of data differently in your application. This happens, for example, if you originally decided to store your article s inventory levels (which change all the time) together with the static data in the same table. You would have to separate this (either in the database or just in your object model) into the real product information on one hand and the transactional information (the inventory level) on the other hand. Based on these three categories, you can now quite easily define matching caching strategies. The decision of whether or not to cache static data is made quite easily: you can usually cache everything that fits in terms of memory usage. Equally easy is the decision of whether or not to cache the operative data of the third group: you shouldn t store this data in memory, but instead always read/write the data to shared storage, for example, a database. Of course, there are exceptions for very specific applications, for example, if you can create fixed assignments between a number of customers and a number of hosts. In these applications, for example, you would store the complete customer data for all customers with names from A to G on one server, the data from H to N on a second, and the data from O to Z on a third one. But for most general applications, you should assume that these kinds of data should not be cached. The most complex category in terms of caching strategies is the second group of seldom changed data, as there are two different types. On one hand, you ll find information that is usually very stable for a longer period of time and that will be changed over a longer period of time,
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CHAPTER 7: Adding the Game Controller
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HTML and XHTML documents support embedded content. You often see examples of this on the Web for special items such as Java applets or Flash video. BlackBerry devices have had supported embedding since device software version 4.0, and their support is considered complete as of version 4.6. You can embed a variety of content including midi files, Plazmic animations, and other HTML documents. Note: If serving Plazmic content, your server must be configured to associate the .pme file extension with MIME type application/x-vnd.rim.pme and .pmb with application/ x-vnd.rim.pme.b. You can embed content by using the <object> tag, as in the following example. Use embedded objects when you want to present something within a larger context, or if you want to show something else if the browser cannot display the main content.
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< xml version="1.0" encoding="utf-8" > <sparql xmlns=""> <head> <variable name="x"/> <variable name="hpage"/> </head> <results> <result> <binding name="x"> <bnode>r2</bnode> </binding> <binding name="hpage"> <uri></uri> </binding> <binding name="name"> <literal xml:lang="en">Bob</literal> </binding> <binding name="age"> <literal datatype= ""> 30 </literal> </binding> <binding name="mbox"> <uri></uri> </binding> </result> </results> </sparql>
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After reading this output, you can definitely see the options that you just set. Likewise, you can verify that the settings have properly updated in Server Admin. Note: Global and per-user password policies do not apply to Open Directory Administrator accounts.
often you want Evolution to check for new mail or if you want to delete mail from the server after it has been downloaded. Unless you have been told otherwise or have special requirements, it should be okay to leave the default settings as they are. If you use a Microsoft Exchange server, you may need to enter the Active Directory/Global Address List server details here. Click Forward to continue.
When discussing performance and optimization with regard to web applications, the most effective tool is caching, a function within ASP.NET 2.0 where specified data or information can be saved into memory and later accessed from memory instead of accessing the information by making a round-trip to the server. There are different types of caching, and certain types are better in different scenarios. In this section we discuss two types of output caching: SQL Server caching and output caching. You must take extreme care when your website s content is completely dynamic because there is a danger of incorrect information being displayed. In situations such as these, SQL Server caching is the preferred technique.
Figure 3 34. Notepad project items in Solution Explorer 3. Open NotepadViewModel.cs, found under the Notepad project, and paste the following c# codes.
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