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The architecture for large or slow data sets requires a server component that supports multithreading or multiprocesses, and a client component that includes a two-channel communication mechanism. The architecture is laid out in Figure 6-2.
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Figure 6-2. Large and slow data set architecture The architecture shown in Figure 6-2 is an example historical ticker application. The client has two interactions: HTTP POST and HTTP GET to the same URL, /services/historical/*. At a technical level, the two interactions are separate, but they often work together. The POST interaction is used to send data, and the GET interaction is used to retrieve data. Technically, a REST Web service implies such an interaction: to start a task, a POST request is sent, and the answers for the task are retrieved using a GET. Two channels are used so that the client can receive multiple answers to an executing task. This ability is a necessity when you are working with large or slow data sets. You cannot
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CHAPTER 6 6-1. IMPLEMENTING WEB SERVICES FOR LARGE OR SLOW DATA SETS
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execute a task and wait for the complete answer, even though using XMLHttpRequest in asynchronous mode would not stop the browser from functioning. You want to retrieve data on a piecemeal basis because you want to display the results as soon as they are available. On the server side, two components implement the interactions: TaskManager and ResultCache. TaskManager responds to all POST requests and executes the appropriate task. The individual tasks then generate their results and add them to ResultCache. When the client executes a GET, the data from ResultCache is retrieved. TaskManager is only responsible for executing the tasks and managing the reference to ResultCache. TaskManager is not responsible for knowing the details of the results generated or the nature of the task that is executed.
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Managing the Client Request/Response Cycle
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For the moment, let s ignore the URLs and the server side, and focus on the client side. We can define the most amazing URLs and the most interesting server side, but if the client side functions inefficiently, everything else does not matter. Defining what the client can and cannot do goes a long way toward defining the server URLs and server-side code. First, let s look at a mapping example along the lines of http://map.search.ch or http://maps.google.com. You will see the logic to make the scrolling of the map smooth, as the map is composed of a number of image pieces (see Figure 6-3).
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Figure 6-3. Mapping logic
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CHAPTER 6 6-1. IMPLEMENTING WEB SERVICES FOR LARGE OR SLOW DATA SETS
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Figure 6-3 shows a square that represents the view port. The view port is the visible map pieces as viewed by an HTML page. Each view port can display four complete map pieces, and it provides four ways to navigate. In Figure 6-3, an arrow pointing north is shown, indicating that the user wants to move the view port north. Based on this configuration, let s walk through how the architecture in Figure 6-2 can be implemented as a series of steps: 1. The client surfs to the URL and loads the HTML page that contains the view port. 2. The HTML page sends a POST asking to load four map pieces. 3. TaskManager begins a task that retrieves the requested map pieces. The task adds the map pieces to ResultCache. 4. The HTML page executes a periodic loop that asks if the requested map pieces have been added to ResultCache. If the pieces have been added, then they are retrieved and displayed. At this moment, there is a disconnect, as the identifier of the map pieces has not been defined. When the HTML page loads, which map pieces are loaded Do you load the default And if you do load the default, what exactly is the default When loading the map pieces, you need to first determine how to identify a map piece. The best strategy is to use a coordinate system, as shown in Figure 6-4.
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