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Now this UDF can be used within a T-SQL query in a variety of ways. For example, the following query displays the full names of each row in the Contact table: SELECT dbo.GetFullName(Title, FirstName, MiddleName, LastName) As FullName FROM Person.Contact One of the disadvantages of a UDF is that it can return only a single scalar value. However, you can create another type of function, called a table-valued function (TVF) that returns a result set. Again, this is similar to the functionality of a stored procedure except that a TVF can be used within a query. Specifically, TVFs are typically found in the FROM clause of a SELECT query. User-Defined Aggregates For years, database developers have requested the ability to extend the set of built-in functions like COUNT, SUM, AVG, etc. with their own custom functions. Finally, you can now do exactly that by implementing a user-defined aggregate (UDA). UDAs are similar to UDFs, except that they are designed to compute a single value by operating on a given column over a set of rows. Typically, you can also implement UDA functionality as a stored procedure or a UDF. The benefit of the UDA approach, however, is that you can use it in your queries like any of the built in aggregate functions. It will also perform better in most cases. User-Defined Types SQL Server 2005 s new user-defined type (UDT) feature enables you to extend the SQL Server type system with your own custom scalar types. You simply define a custom type as a managed class and encapsulate all required data and behaviors within that class. Once the type is completed and deployed, you can use it just like any other SQL Server data type to define columns, declare variables, etc. It is important to note, however, that this feature is not intended as a mechanism to turn SQL Server into an object-oriented database. This feature is meant for small and simple types only. If you attempt to use more complex types, you will soon run into the 8KB column size limit or various indexing restrictions. Therefore, complex business objects such as Customer, Product, Order, etc. are poor candidates for UDTs. On the other hand, a good example of where a UDT might be useful is if you have tables that use a custom date structure. With a UDT, you can encapsulate that custom date structure and its behaviors into a custom type.
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ops$tkyte%ORA11GR2> exec runstats_pkg.rs_start PL/SQL procedure successfully completed. ops$tkyte%ORA11GR2> exec proc1 PL/SQL procedure successfully completed. ops$tkyte%ORA11GR2> exec runstats_pkg.rs_middle PL/SQL procedure successfully completed. ops$tkyte%ORA11GR2> exec proc2 PL/SQL procedure successfully completed. ops$tkyte%ORA11GR2> exec runstats_pkg.rs_stop(10000) Run1 ran in 65 cpu hsecs Run2 ran in 1224 cpu hsecs run 1 ran in 5.31% of the time
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The data provided here will obviously vary based on the needs of the rule method. The constructor must accept the name of the property to be validated, and of course, the extra data. The property name is provided to the RuleArgs base class, and the extra data is stored in the field declared in the preceding code: Public Sub New(ByVal propertyName As String, ByVal maxLength As Integer) MyBase.New(propertyName) mMaxLength = maxLength End Sub Finally, the ToString() method is overridden. This is required. Recall that in 3, this value is used to uniquely identify the corresponding rule within the list of broken rules for an object. The ToString() value of the RuleArgs object is combined with the name of the rule method to generate the unique rule name. This means that the ToString() implementation must return a string representation of the rule that is unique within a given business object. Typically, this can be done by combining the name of the rule (from the RuleArgs base class) with whatever extra data you are storing in your custom object: Public Overrides Function ToString() As String Return MyBase.ToString & "!" & mMaxLength.ToString End Function The RuleArgs base class implements a ToString() method that returns a relatively unique value (the name of the property). By combining this with the extra data stored in this custom class, the resulting name should be unique within the business object.
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text_line like "___ ___ __ __:__:__ 20__" like "Starting ORACLE instance %" like "Starting ORACLE instance %"
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One of the cool things about schemas is that we can require that any incoming data be of specific types. We can ask that prices be supplied in decimal format. We can ask that quantities be integers. There are a multitude of schema types. The following are the more frequently used types:
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Caution A condition is nothing more than a method that returns a Boolean value, but it must be declared
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29 rows selected. SQL> The output shown in Listing 15-20 does not show the complete hierarchy (hint: use a connect by prior query to do this) but gives a high-level view of the issue across the complete schema and is a good starting point. Assess the complete schemas by using summarized queries and then assess the roles and privileges assigned against these schema objects again at the summary level and revoke at the role level.
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In the summer of 2001, I had my first wow experience with the power of what could be done with a browser-based interface using scripting, DHTML, and asynchronous XML. I was working for a product development group in a large financial services company in New York and was invited by one of their Chief Technical Office (CTO) teams to take a look at their new prototype of a zero-footprint technology for delivering financial information, both streaming and static. They claimed they could stream news, quotes, and charts to a browser with no installation necessary at the desktop, and they could do it in such a manner that it met all the requirements of a typical client. In those days, the biggest support problems were in the installation, maintenance, and support of heavy Component Object Model (COM) desktop applications, and this would wipe them all out in a single blow. Naturally I was skeptical, but I went to see it anyway. It was a prototype, but it worked. And it largely preserved the user experience that you d expect from a heavier application with drag-and-drop functionality; streaming updates to news, quotes, and charts; and advanced visualization of data. If anything, it was almost superior to the heavy desktops we were using!
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In the previous two recipes, the amount of shading was calculated in each vertex, and this shading value was interpolated over all the pixels of the triangle. Therefore, it is called per-vertex lighting (or Gouraud shading). In some cases, this does not give the best result. Especially when using large triangles and/or sharp edges, this cannot give the desired result. As an example of this, consider three sides of a cube, as shown on the left side of Figure 6-5. The right side of the image indicates how the shared normal directions should be defined. In this example, the direction of the light is indicated by the four arrows at the top of the right part.
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where val1 = 25 call count ------- -----Parse 1 Execute 1 Fetch 2 ------- -----total 4 cpu elapsed disk query current -------- ---------- ---------- ---------- ---------0.59 1.98 10005 10015 0 0.00 0.00 0 0 0 0.00 0.00 0 3 0 -------- ---------- ---------- ---------- ---------0.59 1.98 10005 10018 0 rows ---------0 0 1 ---------1
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Figure 10-7. Programatically zooming into the map
Implementing ToString
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