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You ll concentrate on the basic presentational elements of the web form for now, and work on the style (and other) properties and functionality of this web form later in the chapter 1 Open VS NET Create a new Visual Basic ASP NET Web Application project Call it 2Examples by typing http://localhost/2Examples into the Location box, as shown in Figure 2-1 Then click OK..

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Some restrictions exist on view merging, and these vary from version to version of Oracle. However, even when the optimizer is not allowed to merge a view into the main body of a query, there are cases in some nested loop joins where the optimizer can push a join predicate into a view. This results in many small view instantiations, rather than one large view instantiation. Although I have seen pushed predicates being reported in execution plans from time to time, I found it quite hard to create a realistic example when I needed one, so I ve fallen back on a limitation in the optimizer to demonstrate the feature (see push_pred.sql in the online code suite). The most likely case where pushing predicates will occur is when you do outer joins into multitable views: create or replace view v1 as select t2.id1, t2.id2, t3.small_vc, t3.padding from t2, t3 where t3.id1 = t2.id1

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Unlike variables and parameters, report elements are not required to have a name, because normally you do not need to obtain any individual element inside a report template. However, in some cases it is useful to be able to locate an element to alter one of its properties before using the report template. This could be the case in an application for which the color of some elements in the report template needs to change based on user input. To locate the report elements that need to have their colors altered, the caller program could use the getElementByKey(String) method available at band level. A key value must be associated with the report element and it must be unique within the overall band for the lookup to work. The key attribute is used as an example in the provided /demo/samples/alterdesign sample.

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As a data format, XML has a number of important characteristics that are its strengths In particular, it is a text-based data format (this fact should be fairly obvious from the two samples above) In other words, any XML document is a plain-text document that contains both data and the markup that describes its structure This means that: XML data is easy to store You can store XML in text documents on hard disk XML data is easy to transfer Sending XML is as easy as transferring a text file or an HTML file XML data is easy for machines to read Hence, XML is highly compatible with many different types of systems XML data is easy for humans to read This makes it easy for a human to interpret the data in an XML document, and even makes it possible for humans to write XML documents using a keyboard.

The execution plan for this query shows the predicate pushing in action. In this case, I have used the 9i dbms_xplan package to show the plan, as the filter_predicates and access_predicates columns of the plan_table are important. ------------------------------------------------------------------------------| Id | Operation | Name | Rows | Bytes | Cost | ------------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 1 | 240 | 5 | | 1 | NESTED LOOPS OUTER | | 1 | 240 | 5 | |* 2 | TABLE ACCESS BY INDEX ROWID | T1 | 1 | 119 | 3 | |* 3 | INDEX RANGE SCAN | T1_PK | 42 | | 2 | | 4 | VIEW PUSHED PREDICATE | V1 | 1 | 121 | 2 | |* 5 | FILTER | | | | | | 6 | NESTED LOOPS | | 1 | 129 | 3 | |* 7 | INDEX RANGE SCAN | T2_PK | 1 | 9 | 2 | | 8 | TABLE ACCESS BY INDEX ROWID| T3 | 1 | 120 | 1 | |* 9 | INDEX UNIQUE SCAN | T3_PK | 1 | | | ------------------------------------------------------------------------------Predicate Information (identified by operation id): --------------------------------------------------2 - filter("T1"."N1"=5) 3 - access("T1"."ID1">=10 AND "T1"."ID1"<=50) 5 - filter("T1"."ID1"<=50 AND "T1"."ID1">=10) 7 - access("T2"."ID1"="T1"."ID1") filter("T2"."ID1">=10 AND "T2"."ID1"<=50) 9 - access("T3"."ID1"="T2"."ID1" AND "T3"."ID2"="T2"."ID2") filter("T3"."ID1">=10 AND "T3"."ID1"<=50)

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