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of different alternatives; only the query optimizer can estimate the costs with reasonable accuracy, without actually executing the query Thus a good set of views may only be found by trial and error that is, by materializing one or more views, running the workload, and measuring the time taken to run the queries in the workload The administrator repeats the process until a set of views is found that gives acceptable performance A better alternative is to provide support for selecting materialized views within the database system itself, integrated with the query optimizer Some database systems, such as Microsoft SQL Server 75 and the RedBrick Data Warehouse from Informix, provide tools to help the database administrator with index and materialized view selection These tools examine the workload (the history of queries and updates) and suggest indices and views to be materialized The user may specify the importance of speeding up different queries, which the administrator takes into account when selecting views to materialize Microsoft s materialized view selection tool also permits the user to ask what if questions, whereby the user can pick a view, and the optimizer then estimates the effect of materializing the view on the total cost of the workload and on the individual costs of different query/update types in the workload In fact, even automated selection techniques are implemented in a similar manner internally: Different alternatives are tried, and for each the query optimizer estimates the costs and bene ts of materializing it Greedy heuristics for materialized view selection operate roughly this way: They estimate the bene ts of materializing different views, and choose the view that gives either the maximum bene t or the maximum bene t per unit space (that is, bene t divided by the space required to store the view) Once the heuristic has selected a view, the bene ts of other views may have changed, so the heuristic recomputes these, and chooses the next best view for materialization The process continues until either the available disk space for storing materialized views is exhausted, or the cost of view maintenance increases above acceptable limits. birt pdf 417 Eclipse BIRT PDF417 Barcode Maker add-in makes PDF417 ...
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Download PDF - 417 barcode generator for Java free trial package to create high quality PDF - 417 barcodes in Java class, iReport and BIRT . Most users of a database system today are not present at the site of the database system, but connect to it through a network We can therefore differentiate between client machines, on which remote database users work, and server machines, on which the database system runs Database applications are usually partitioned into two or three parts, as in Figure 15 In a two-tier architecture, the application is partitioned into a component that resides at the client machine, which invokes database system functionality at the server machine through query language statements Application program interface standards like ODBC and JDBC are used for interaction between the client and the server In contrast, in a three-tier architecture, the client machine acts as merely a front end and does not contain any direct database calls Instead, the client end communicates with an application server, usually through a forms interface The application server in turn communicates with a database system to access data The business logic of the application, which says what actions to carry out under what conditions, is embedded in the application server, instead of being distributed across multiple clients Three-tier applications are more appropriate for large applications, and for applications that run on the World Wide Web Data processing drives the growth of computers, as it has from the earliest days of commercial computers In fact, automation of data processing tasks predates computers Punched cards, invented by Hollerith, were used at the very beginning of the twentieth century to record US census data, and mechanical systems were used to The McGraw Hill Companies, 2001 process the cards and tabulate results Punched cards were later widely used as a means of entering data into computers Techniques for data storage and processing have evolved over the years: 1950s and early 1960s: Magnetic tapes were developed for data storage Data processing tasks such as payroll were automated, with data stored on tapes Processing of data consisted of reading data from one or more tapes and In polar form, Z = |Z | e j = |Z | We can write the voltage in terms of its root mean square or effective value across the terminals A-B due to the power source as v(t) = V0 cos( t + ) (106) FIGURE 8-5 The McGraw Hill Companies, 2001 1 birt pdf 417 PDF - 417 Introduction, data, size, application, structure ...
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