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27: Custom Tag Libraries Overview Servlets and JavaServer Pages (JSPs) are the primary tools used by every developer of Web applications on a WebSphere platform JSPs and servlets are really one and the same, since every JSP is transformed by the JSP engine into a servlet The JSP lifecycle and the servlet lifecycle are identical for the most part, and you are free to use either servlets or JSPs in your applications, depending on your application's focus and needs Whether you use JSPs or servlets (or both) almost always depends on your role in the development organization If you are building back-end functionality, you will be using a servlet to expose your functionality to the outside world If you are working on the presentation layer of an application, building dynamic Web screens that access some back-end data and expose them to a browser, you will most probably be using a JSP In terms of roles, back-end programmers usually write servlets, and page designers always use JSPs The tools for writing JSPs are mature and follow the same paradigm as Web page development tools Servlets, as constructs, do not include any development tools apart from templates and debuggers, which are usually part of a Java Integrated Development Environment (IDE) While JSPs are certainly the preferred method to use for building user interfaces, they can grow to be complex Some of the inherent problems and complexities are reviewed early in this chapter Later in the chapter, custom tag libraries are introduced The use of these libraries is expanding in the industry in general, and in WebSphere a technology that promises to revolutionize the use of JSPs and make building JSPs far easier Using the libraries also promises to better distinguish the roles of the different people who work on Web application development projects The topic of tag libraries deserves a book to itself; although this chapter will not cover all the options, lifecycle intricacies, and application programming interface (API) sets for custom tag libraries, you will be introduced to this important subject and will learn how to use tag libraries in a WebSphere deployment.

Part III:

Figure 1115 Rooftop AHU (Courtesy of Mammoth)

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The JSP Complexity Problem As reviewed in 7, the history of servlets and JSPs is based on continuous improvement Here's a quick recap: Servlets were the greatest thing since cherry pie when they first emerged as a better way of writing Common Gateway Interface (CGI) scripts Then they became very complex as the amount of Hypertext Markup Language (HTML) embedded as strings in Java print commands became uncontrollable Tools could not be used because as strings, the elements lost all semantics and structure Then JSPs emerged and reversed the roles, letting the pages be built as "normal" HTML pages with a few scriptlets embedded to extract dynamic data or to perform some server-side processing JSPs were the best thing since cherry pie topped with vanilla ice cream Unfortunately, as time progressed and JSPs became widely used for complex business applications, the next "complexity curve" emerged JSPs, as programming constructs, have grown into monolithic monsters In many business applications, the pages are huge and hard to read Even more problematic is that they have become a continuous mix of HTML and Java, which means that a clear separation no longer exists between the page designer (an HTML developer) and the Java developer As a result, building complex Web user interfaces now requires Java developers, and they are expensive 469

and the revenue for the year-to-date and prior year-to-date of the Outdoor Protection product line You want to see if revenue is down for a certain order method You can apply a context filter so that you see the revenue for only fax orders If revenue looks good there, you can change the context filter to mail orders, and so on, until you determine the order method for which revenue is down the most Here s how to apply a context filter: 1 Drag a dimension or member into the Context Filter region of the overview area that you want to use to filter the analysis Analysis Studio adds the selected dimension to the overview area, and filters the data based on the selection In the following example, we use the Fax member from the Order Method dimension We can see the revenue from fax orders for the Outdoor Protection product line:

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TIP You can also create a context filter of the item currently inserted in the rows of an analysis by

Encapsulation and Abstraction Almost every problem in computer science eventually can be categorized as a problem involving lack of encapsulation or lack of abstraction As it turns out, the problems with JSPs are a bit of both When people first start writing JSPs, they are often overwhelmed by the simplicity of the model They simply build a Web page and then start filling in the dynamic content using Java code This approach begs for simple use, but developers do not always think of their pages as programming constructs They therefore often leave behind all that they have been taught about modularity and encapsulation, and the code becomes one big, unmanageable mess Remember that a Web page itself is compiled into a servlet and, in the process, generates the servicing method The best way for you to understand where the JSP model has taken us is to look at a complex page Figure 27-1 shows a fairly simple Web screen that depends on a nontrivial amount of dynamic behavior to control the work that can be done using the screen, based on a set of business rules managed by a workflow engine We will not list the contents of this JSP, because it would fill up the rest of the chapter, with more than 2000 lines of code a mix of HTML and Java (and more than 25 pages of code printout) Even more troublesome is the size of the service method in the generated servlet, with more than 1100 lines of code! When was the last time you wrote a single method that was this big

You can create a calculation in the analysis if you need one that is not inherently in the data source The calculation that you create is not stored in the data source itself but rather saved as part of the analysis That means if the data in the data source has changed and you open a saved analysis, Analysis Studio reruns the calculation and displays the new data

This is a special class of a package AHU, designed primarily for use in large mainframe computer rooms where a carefully controlled environment is required The package is designed for installation within the computer room, as shown in Fig 1116 Supply air is discharged downward into the plenum space below the raised oor, from which it enters the computer equipment cabinets directly or is transferred into the room through oor supply registers Return air enters the AHU directly from the room The unit includes a supply fan, high-ef ciency lters, humidi er, direct-expansion cooling coil, refrigeration compressor(s), and water-cooled condenser Alternatively, a remote air-cooled condenser can be used, or a water coil with a remote source of chilled water Electric reheat is typical, although hot water may be used Units are available up to 20-ton capacity, and multiple-unit installations are common No ductwork is used in most down- ow applications These units have found some application in low-grade cleanroom applications where humidity control is desired Fan-assisted HEPA lters can be incorporated in a system 114 Built-up (Field-Assembled) AHU

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