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sharing across sub-projects 194 substituting with XDoclet 343 undefined value 71 <property> 67 70, 599 environment variant 69 file variant 68 location variant 69 value variant 67 <propertycopy> task 81, 254 -propertyfile 41 <propertyfile> task 237 239, 599 <entry> element 239 example in web development 298 propertyfile 9 PVCS task 245 <pvcs> task 245, 599 Python scripting within Ant See <script> task Q -quiet 41 R RadPak See HP-AS Rant remotely invoking Ant 383 <rant> task for executing Ant as a web service 383 Rational Unified Process 17 ReadOnlySelector 515 <record> task 600 Refactoring 86 References 79 82 inheriting 223 refid attribute 79 Regexp mapper 63 regular expressions mapper 63 replacing See <replaceregexp> task <replace> task 600 replaceProperties() 472 <replaceregexp> task 244 245, 601 replacing tokens See <copy> task, filtering resolveFile() 472 473 Rhino for scripting 499 <rmic> task 601

SELECT t1.resource_type, t1.resource_database_id, t1.resource_associated_entity_id,t1.request_mode, t1.request_session_id,t2.blocking_session_id FROM sys.dm_tran_locks AS t1 INNER JOIN sys.dm_os_waiting_tasks AS t2 ON t1.lock_owner_address = t2.resource_address;

Just like <xmlvalidate>, the <xslt> task needs to find the DTDs of the files it transforms, and fails if it cannot resolve any. First, we have to write the DTD itself, which we create in xdocs/stylesheets/doc.dtd:

parameters such as current vacation hours, date of hire, some sort of level information, and so on. Taking in individual parameters like that, rather than passing in an Employee object, helps reinforce the SRP and decouple from the rest of the system because the class no longer needs to be changed if the Employee class changes. Listing 16.11 shows the final version of this service, taking individual parameters rather than the Employee object.

Let s see an example:

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The Business Data Catalog architecture can be described using the diagram in figure 1.6. Several data sources are listed, but theoretically we should be able to connect to any data source by using either ODBC or a custom web service. ADO.NET or web services can be used as a provider to the data sources. ADO.NET includes most providers such as the SQLOLEDB, Jet, and Oracle providers. Via a web service, you can pretty much expose any data you like, and that s how we can connect to SAP and Siebel.

In sections 7.1.4 and 7.4.5 we discussed the FuzzyQuery and the fact that we could utilize it to help us with user-entered misspellings. There is a problem with this. If you ve used the FuzzyQuery for this purpose, you probably soon found out that setting the minimum similarity correctly to get the results you were expecting is a somewhat timeconsuming and tedious process. There is a better and less time-consuming way to pull this off, and that is to use a spellchecker on the field or fields you are concerned with. It just so happens that Lucene includes a spellchecker in the Contributions section. The spellchecker utility .jar file, lucene-spellchecker.jar, is located in the contrib directory at lucene-install-directory\contrib\spellchecker.

// this.columnTitle.Text = "Title"; this.columnTitle.Width = 100; // // columnSize // this.columnSize.Text = "Size"; this.columnSize.TextAlign = System.Windows.Forms.HorizontalAlignment.Center; this.columnSize.Width = 40; . . . // // listViewMain // this.listViewMain.Columns.AddRange( new System.Windows.Forms.ColumnHeader[] { this.columnName, this.columnTitle, this.columnPassword, this.columnSize}); . . . }

Putting all of your information in a table is really convenient. The important data appears at a glance in a nice and orderly arrangement, and it s easy to sort the results based on a particular column. Unfortunately, this table of orders has a lot of repetition. Customer names and product names repeat multiple times. Also, although the product ID BEV01COF indicates coffee, one of the lines lists it as Tea. A few other problems are inherent in data that s placed in a single flat file database table. Mr. Codd, the brilliant computer scientist that he was, saw these problems, too. But instead of just sitting around and complaining about them like I do, he came up with a solution: normalization. By breaking the data into separate tables with data subsets, assigning a unique identifier to each record/row in every table (a primary key), and making a few other adjustments, the data could be normalized for both processing efficiency and data integrity. For the sample orders in Table 4-1, the data could be normalized into three separate tables: one for order line items, one for customers, and one for products (see Tables 4-2, 4-3, and 4-4, respectively). In each table, I ve put an asterisk next to the column title that acts as the primary key column.

Figure 1.6 The default presentation for the ListBox items leaves something to be desired. It looks like WinForms or something! I demand more from our first Silverlight example.

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