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304 CHAPTER 10 INFINITE DATA PATTERN that with a large and incomplete database, what constitutes a complete result set? To generate the result set, you need to redesign your strategy by implementing an asynchronous task that generates the results piecemeal. This is the essence of the Infinite Data pattern. The pattern is called Infinite Data because the results that it generates are on a piecemeal basis. Each individual result when viewed independently is a piece of information. Put three results together, and you start to get an idea of the context. Put twenty results together, and the context of the data is clearer than when there were three results. Add more results, and the picture becomes less clear because of the variation of the data. Then to get a clear idea, you gather more results, and more results, and the results never stop because the data stream is infinite. As more data is retrieved, the context of the data is lost and you are just gathering data for the sake of data because it seems that there is an infinite data stream. The ramification of an infinite (seemingly) data stream is that you are literally finding a needle in the haystack. Applicability It would seem that the Infinite Data pattern works only in those scenarios where the data set being operating on is incomplete and large. However, the Infinite Data pattern is applicable to many scenarios, which are listed as follows: Querying and manipulating of very large data sets when the operation takes longer than what the user deems acceptable. For example, if an operation takes longer than the four- second rule, the Infinite Data pattern is applicable. Server-side operations that query other remote services that generate an incomplete result set. Examples include using Google, eBay, or Amazon.com web service application programming interfaces (APIs). Operations that take a long time to carry out and can be divided into smaller operations that can be considered intelligent guesses. The subdivided operation is an intelligent guess because the data that is generated is correct; however, the search is incomplete and therefore could miss important data. Missing important data is unavoidable because the problem of infinite data is too much data. The generated data can be displayed to indicate progress or allow further computations. Examples include the calculation of prime numbers and mechanical stress calculations. Any operation that could be converted into an asynchronous operation, allowing the application to generate results as the data arrives. Examples include asynchronous database queries or messaging applications. In a nutshell, the Infinite Data pattern is used to present timely data from a seemingly infinite data set. The idea is to generate results incrementally so that an HTML page is built incrementally, and not as a single operation that can cause dramatic effects in the HTML client. Associated Patterns The Infinite Data pattern is used to send tasks to be executed and receive results from executed tasks. The basis of the Infinite Data pattern is the Persistent Communications pattern. The
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