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The graph clearly shows how much cheaper the merge approach is than the recalculate approach after you get past a certain volume of transactions. The difference in cost is due almost entirely to the transaction costs associated with the two different approaches. Tailspin decided to implement the merge approach in the Surveys application. Note: The vertical cost scale on the chart is logarithmic. The analysis behind this chart makes a number of worst-case assumptions about the way the application processes the survey results. The chart is intended to illustrate the relative difference in cost between the two approaches; it is not intended to give hard figures. It is possible to optimize the recalculate approach if you decide to sample the survey answers instead of processing every single one when you calculate the summary data. You would need to perform some detailed statistical analysis to determine what proportion of results you need to select to calculate the summary statistics within an acceptable margin of error. In the Surveys application, it would also be possible to generate the summary statistics by using an approach based on MapReduce. The advantage of this approach is that it is possible to use multiple task instances to calculate the summary statistics. However, Tailspin is willing to accept a delay in calculating the summary statistics, so performance is not critical for this task. For a description of the MapReduce programming model, see the section, MapReduce, earlier in this chapter.

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</diffgr:before> Although this solution is clearly not optimal, because unchanged columns are stored twice, it closely reflects the internal architecture of the DataRow object and, as such, speeds up the restoration of the DataRow object in the destination DataTable object The DataRow class maintains its various versions by implementing Note an array of subobjects one for the current values, one for the original version, and one for intermediate proposed values Other internal properties indicate at any moment which is the current version and what the state of the row is As a final note, consider that for each column in a DataRow object, only the original and the current values are tracked, and no intermediate values are buffered.

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For example, suppose that you perform the following operation on an unchanged row: // 1 is the current value of the field row[0][field] = 2; The row state changes to Modified, the original value (1) is persisted in the Original copy of the row, and the new value (2) is registered as the current value Next the following code runs: // 2 is the current value of the field // 1 is the original value of the field row[0][field] = 3; // 3 is NOW the current value of the field // 1 is the original value of the field The original copy of the row remains intact, but the current version is updated As a result, the intermediate value (2) is overwritten and is irreversibly lost Note Building an automatic mechanism for tracking the entire history of a row is probably unnecessary in most cases.

If you need a more powerful mechanism to track changes, you can build a parallel table of changes for each row in the table Each entry in the custom table would point to a particular DataRow object and contain a collection of changes organized as you prefer..

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The event pattern also requires that the delegate definition and the callback method name the EventArgs-derived parameter e . The only reason for this is to add additional consistency to the pattern, making it easier for developers to learn and implement the pattern . Tools that spit out source code (such as Microsoft Visual Studio) also know to call the parameter e . Finally, the event pattern requires all event handlers to have a return type of void . This is necessary because raising an event might call several callback methods, and there is no way to get the return values from all of them . Having a return type of void doesn t allow the callbacks to return a value . Unfortunately, there are some event handlers in the FCL, such as ResolveEventHandler, that did not follow Microsoft s own prescribed pattern because it returns an object of type Assembly .

protected pointcut loggedOperations() : (execution(* *.*(..)) || execution(*.new(..))) && !within(IndentedLogging+); before() : loggedOperations() { Signature sig = thisJoinPointStaticPart.getSignature(); System.out.println("Entering [" + sig.getDeclaringType().getName() + "." + sig.getName() + "]"); } }

int* a, b, c; char** d; byte*[] e; void* f; // // // // Declare 3 Declare a An single A pointer integer pointers pointer to a character pointer dimension array of pointers to bytes to an unknown type

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