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As I already stated, relational algebra has an open-ended set of operators; I m focusing on some of the most useful ones. I already pointed out how the Rename operator is useful. Without it, any nonunary operators operators that accept more than one relation as parameters would be very limited. The Rename operator assigns an alias to an attribute or to a relation in a query. Note that it is practical to have aliases for relations as well as for attributes because a single query can refer to the same relation more than once. A language that supports relational algebra is said to be relationally complete; however, this doesn t mean that it is computationally complete as well. I haven t yet introduced an operator that would return a computed attribute in the resulting relation. The Extend operator is the operator that adds a named expression (which evaluates to a scalar value) to the resulting relation. Note that this expression is not limited to computations between attributes of a single tuple only; the expression can also work on multiple tuples if it aggregates multiple input values to a single output value. Figure 3-6 shows the Rename and the Extend operators, with aliased and added attributes in darker color with pattern.

The last section of the SqlMapConfig.xml file is where we configure the <sqlMap> elements. This is where you start to get into the real heavy lifting that iBATIS can do for you. The <sqlMap> element is actually one of the simplest elements in this file, because it only requires one of two attributes to be set. The resource attribute is used if you want to put your SQL Map files on the Java classpath and refer to them that way. Generally, this is the easiest way, because they can be stored in a JAR file or a WAR file, and simply referenced relative to the root of the classpath. In other cases, you may want to be more explicit about the location of the files. In those cases, you can use the url attribute. This attribute can use the java.net.URL class to resolve the location of the file, so you can use any URL value that can be understood by that class.

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B. Incorrect: The Headers Collection section does not contain the posted data. c. Correct: The Form Collection section contains the posted data. D. Incorrect: The Server Variables section does not contain the posted data.

We ll start by introducing the classic vector space model. This has become the basic building block of several scoring techniques, including Lucene s. Along the way, we ll talk about the shortcomings of this approach. Then, after working through a complete example, we ll move on to how Lucene deals with these shortcomings, how it implements its variations of this model, and how you can manipulate the scoring process.

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<SOAP-ENV:Envelope xmlns:SOAP-ENV="http://schemas.xmlsoap.org/soap/envelope/" SOAP-ENV:encodingStyle="http://schemas.xmlsoap.org/soap/encoding/"> <SOAP-ENV:Body> <m:GetProductPrice xmlns:m="MyCompany-URI"> <productId>123456</productId> </m:GetProductPrice> </SOAP-ENV:Body> </SOAP-ENV:Envelope> ---------------------------------------------------------HTTP/1.1 200 OK Content-Type: text/xml; charset="utf-8" Content-Length: nnnn

Before you start creating the admin_orders and the admin_order_details componentized templates, let s modify admin.php to load these componentized templates and also modify admin_menu.tpl to display an ORDERS ADMIN link.

Note In relation to the last point above:

Datagram datagram = connection.newDatagram(100); byte[] data = "Message 1 from the Server".getBytes(); datagram.setData(data, 0, data.length); connection.send(datagram);

This is a simple action method, and it returns the default view. Figure 27.2 shows what we d expect.

The ASP .NET AJAX Control Toolkit is a collection of components (and samples showing how to use them) encapsulating AJAX capabilities . When you browse through the samples, you can get an idea of the kind of user experiences available through the controls and extenders .

The row locator used by a nonclustered index leaf row to point to a data row is an 8-byte physical pointer called RID. It consists of the le number in the database, the target page number in the le, and the row number in the target page (zero based). When looking for a particular data row through the index, SQL Server has to follow the seek operation with a RID lookup operation, which translates to reading the page that contains the data row. Therefore, the cost of a RID lookup is one page read. For a single lookup or a very small number of lookups, the cost is not high, but for a large number of lookups, the cost can be very high because SQL Server ends up reading one whole page per sought row. For range queries that use a nonclustered index and a series of lookups one per qualifying key the cumulative cost of the lookup operations typically makes up the bulk of the cost of the query. I ll demonstrate this point in the Index Access Methods section. As for the cost of a seek operation, remember that the formulas I provided earlier are just as relevant to nonclustered indexes. It s just that the leaf_row_size is smaller, and therefore the rows_per_leaf_page will be higher. But the formulas are the same.

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