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If the function you are calling via a delegate takes a long time to execute, you may want your code to perform other work while the called function is executing asynchronously on another thread. The .NET Framework provides support for calling delegates asynchronously, using a worker thread to call the function indicated by the delegate and allowing the initiating thread to continue with other work. Instead of using the Invoke method, use the BeginInvoke method to initiate the function call, and later in your code, call EndInvoke to retrieve the result. A variety of design patterns may be used. If you simply have a few other tasks to complete, you can perform those tasks and then simply wait for the result by calling EndInvoke. When EndInvoke is called before the worker thread has completed its work, execution on the main thread will block waiting for the function to complete. You can also poll the secondary thread, enabling you to continue working and keep checking the secondary thread until it s done. Another design pattern allows you to set up a callback function that is called when the function called by the delegate completes. The BeginInvoke has a signature that is determined by the delegate declaration. BeginInvoke has the same parameters as the usual Invoke function, plus two additional parameters: the first is an AsyncCallback class and the second is the delegate. EndInvoke has only one parameter of type IAsyncResult. So, for example if you have a delegate like this one: delegate void MyDelegate(R^ r); the invoke methods have the following signatures: AsyncResult^ BeginInvoke(R^, AsyncCallback^, MyDelegate^ ); void EndInvoke(IAsyncResult^);

It is amazingly simple to add basic appointments (or reminders) to your calendar. 1. In Day View, glide the trackpad to the correct day and time, press the Enter key, and start typing your appointment right in Day View.

One of the key problems in understanding the cost calculation for sorting is that the cost formula from the 92 Performance Guide and Reference that I quoted in 1 does not include a component to represent the writes and reads that might be relevant to sort operations that spill to disk A further problem appears when you examine the 10053 trace files, and find that there are several discrepancies between the model implied by the numbers and the actual activity The dramatic variation between versions doesn t make the trace files any easier to comprehend..

2. 3.

As with hash joins, there are three levels of efficiency with sorting optimal, onepass, and multipass.

The classes AsyncCallback and AsyncResult and the associated interface IAsyncResult provide the methods needed to implement these designs, such as providing a way to check on whether the function has completed. The BeginInvoke function returns an object of type AsyncResult. Listing 7-14 shows an example. Listing 7-14. Checking Function Completion // async_delegates.cpp using namespace System; using namespace System::Threading; ref class R { public: property String^ Value; R(String^ s) { Value = s; } }; delegate void QueryFunc(String^, R^); ref class Document { IAsyncResult^ result; R^ m_r; public: Document(String^ s) { m_r = gcnew R(s); } // Query the database. void Query(String^ queryString, R^ r) { // Execute a long query. r->Value = "New Value"; } void InitiateQuery(String^ queryString) { QueryFunc^ qf = gcnew QueryFunc(this, &Document::Query); Console::WriteLine(m_r->Value); result = qf->BeginInvoke(queryString, m_r, gcnew AsyncCallback(this, &Document::ProcessResult), qf); }

The optimal sort takes place completely in memory We simply read and sort a stream of data, keeping everything in memory as we go We run out of data before we run out of memory, so we don t have to use any disk space as a scratch working area Contrary to popular belief, we only allocate memory gradually as we read data; we don t allocate the entire sort_area_size (or limit implied by the pga_aggregate_target) as we start the sort The onepass sort appears when the data gets too big to fit in memory We read as much data as we can deal with into the available memory, sorting it as we go, and when we reach our memory limit, we dump the sorted set to disk.

If you need to change the start time, press the ALT key (up/down arrow in lower left corner) while rolling the trackpad up/down. To change the ending time, just glide the trackpad by itself. When you re done, click the trackpad or press the Enter key.

We then read more data, sorting it as we go, and when memory is full again, we dump the next sorted set to disk, and so on until we have used up the entire input data stream At this point, we have several sorted runs of data on disk, and have to merge them into a single set We have a onepass sort if we have enough memory to read a chunk from every single sorted run at once If you want an idea of what the merge step looks like, record a video of someone dealing a deck of cards, and then play the video backwards.

TIP: Quick Scheduling is so fast that you can even use your Calendar app for reminders such as Pick up the dry cleaning, Pick up Chinese food, or Pick up dog food.