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Indexes are a crucial aspect of your application design. Correct implementation requires an in-depth knowledge of the data, how it is distributed, and how it will be used. Too often, indexes are treated as an afterthought in application development, and performance suffers as a consequence. This chapter examines in detail the different types of indexes, including B*Tree, bitmap, functionbased, and application domain indexes, and discusses where they should and should not be used. I ll also answer some common queries in the Frequently Asked Questions and Myths About Indexes section, such as Do indexes work on views and Why isn t my index getting used
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Your function should look like this: [System.Windows.Browser.ScriptableMember()] public string CallMeFromJS() { return "Silverlight function called from JS"; }
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Listing 9-5. The SoapSender Class
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With the custom RuleArgs class defined, it can be used to implement a rule method. The StringMaxLength() rule method looks like this: public static bool StringMaxLength( object target, RuleArgs e) { int max = ((MaxLengthRuleArgs)e).MaxLength; string value = (string)Utilities.CallByName( target, e.PropertyName, CallType.Get); if (!String.IsNullOrEmpty(value) && (value.Length > max))
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A member of the IT group reported that a potential problem exists with an application that accesses the Oracle database server. The application is requiring much more time to complete than normal. The specific application function that is suspected to be problematic is executed sporadically by different users throughout the day, and is reported to be requiring several minutes to complete when it should complete in a couple of seconds. For this potential problem, the script from 9 s Sampling Performance with Low Overhead section is executed with a 180-second capture duration. Following are the results: /* Ranked wait time by wait class, including CPU used */ WAIT_CLASS DELTA DELTA_SEC WAIT_PERCENT --------------- ----------- ------------ -----------CPU 16824 93.47 99.95 System I/O 8 0.05 0.05 The preceding results show that 99.95 percent of the apparent wait time (from the end-user point of view) for the database instance was due to CPU utilization. This particular server has eight CPUs, and the preceding code indicates that the server used 93.47 centiseconds (0.935 seconds) of CPU time per second of a possible 8 CPU seconds. The overall CPU consumption for the database instance is 11.69 percent of the total available CPU time, as an average for the 3-minute time interval. The true wait events, all in the wait class System I/O, totaled an insignificant amount of time in the 3-minute time period. On average, the database instance is not experiencing a problem. At this point, you must determine whether to continue investigating, or report back to the member
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Finishing Off the Billboarding Technique: Pixel Shader and Technique Definition
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Let s now create a new button that looks like a jagged-lined bubble you might see in a comic book. This could be useful for a comic-related site, an online store or modeling program, or any site that s on the whimsical side. The outline of the button is created in Expression Design using the PolyLine. Figure 8-14 shows the outline of the button.
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There are two Fetch() methods, a generic one to provide a strongly typed result and the actual implementation: public static T Fetch<T>(object criteria) { return (T)Fetch(criteria); } public static object Fetch(object criteria) { Server.DataPortalResult result; MethodInfo method = MethodCaller.GetMethod( MethodCaller.GetObjectType(criteria), "DataPortal_Fetch", criteria); DataPortalClient.IDataPortalProxy proxy; proxy = GetDataPortalProxy(RunLocal(method)); Server.DataPortalContext dpContext = new Server.DataPortalContext(GetPrincipal(), proxy.IsServerRemote); OnDataPortalInvoke(new DataPortalEventArgs(dpContext)); try { result = proxy.Fetch(criteria, dpContext); } catch (Server.DataPortalException ex) { result = ex.Result; if (proxy.IsServerRemote) ApplicationContext.SetGlobalContext(result.GlobalContext); throw new DataPortalException("DataPortal.Fetch " + Resources.Failed, ex.InnerException, result.ReturnObject); } if (proxy.IsServerRemote) ApplicationContext.SetGlobalContext(result.GlobalContext); OnDataPortalInvokeComplete(new DataPortalEventArgs(dpContext)); return result.ReturnObject; } The generic method simply casts the result so the calling code doesn t have to. Remember that the data portal can return virtually any type of object, and so the actual Fetch() method implementation must deal with results of type object. Looking at the code, you should see all the steps listed in the preceding bulleted list. The first is to retrieve the MethodInfo for the business method that will be ultimately invoked on the server: MethodInfo method = MethodCaller.GetMethod( MethodCaller.GetObjectType(criteria), "DataPortal_Fetch", criteria);
The output shows us that, in reality, the last function added is the one whose value is returned. But since this is implementation-defined, we should heed the warning and always use a manual walk of the invocation list with these delegates. Using GetInvocationList is also useful if exceptions might be thrown by the functions called through the delegate. If one delegate function throws an exception, other target functions may never execute. Walking through the invocation list manually enables you to wrap each invocation in a try/catch block, giving you more control over the functions that are invoked. Listing 7-13 demonstrates this technique. Listing 7-13. Manually Walking Through an Invocation List // delegate_with_exceptions.cpp using namespace System; delegate String^ MyDelegate(); ref class R { public: String^ f() { throw gcnew Exception(); return "R::f"; } String^ g() { return "R::g"; } String^ h() { return "R::h"; } }; int main() { MyDelegate^ d; R^ r = gcnew R(); d = gcnew MyDelegate(r, &R::f); d = safe_cast<MyDelegate^>(d->Combine(d, gcnew MyDelegate(r, &R::g))); d = safe_cast<MyDelegate^>(d->Combine(d, gcnew MyDelegate(r, &R::h))); for each (MyDelegate^ del in d->GetInvocationList()) {
In particular, we discussed how Oracle obtains consistency and isolation in the previous chapter. Here we ll focus most of our attention on the concept of atomicity and how that is applied in Oracle. In this chapter, we ll discuss the implications of atomicity and how it affects statements in Oracle. We ll cover transaction control statements such as COMMIT, SAVEPOINT, and ROLLBACK, and we ll discuss how integrity constraints are enforced in a transaction. We ll also look at why you may have some bad transaction habits if you ve been developing in other databases. We ll look at distributed transactions and the two-phase commit (2PC). Lastly, we ll examine autonomous transactions, what they are, and the role they play.
Enhanced Statement Performance
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