rdlc data matrix

rdlc data matrix

rdlc data matrix

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/* this call does something else based on i */ var1= do_something_else(i); if (var1) { /* This comment explains some really interesting thing about the following statement(s). */ do_it_again(); } }

For other types of data, unless the PivotTable settings are changed programmatically, you can t make any changes to the PivotTable data.

7.4.6 Tweaking the solution The solution we ve presented here applies resource pooling to all threads in the system using the Thread(Runnable) constructor. In most cases, since the AspectJbased solution offers pooling for free, this can be considered an added bonus. In other cases, however, you may want a more controlled usage of pooling. This section looks at some of those. One of the most common requirements of thread pooling is to apply it selectively based on the client. The solution in section 7.3.5, which uses the selectedClients() pointcut for database connection pooling, applies equally well here. Just as in the database connection example, you can specify any criteria you need in a new pointcut and combine it using && with the threadCreation(), session(), and threadStart() pointcuts to restrict the aspect s scope. It is sometimes desirable to restrict pooling to certain kinds of jobs. In our example, for instance, we may want to restrict it to threads used for the echo service. It is easy to modify the aspect to do this. Simply modify the threadCreation() pointcut as follows. In this case, we are restricting the thread pooling to threads delegating their work to a Runnable type of EchoWorker:

Tip Never use repeating *s to emphasize portions of code. It distracts the reader from the code and makes for a cluttered look. Besides, it s too much work to get all those things to line up especially when you edit your comments later.

pointcut threadCreation(Runnable worker) : call(Thread.new(Runnable)) && args(worker) && args(EchoWorker);

When you add the Units field to the pivot table data area, it s automatically named Sum of Units. You d like to rename it as Units, but you get an error message: PivotTable field name already exists.

If you are modifying the MySQL source code using the source control application BitKeeper, you don t have to worry about tracking your changes. BitKeeper provides several ways in which you can detect and report on which changes are yours versus others. However, if you are not using BitKeeper, you could lose track of which changes are yours, particularly if you make changes directly to existing system functions. In this case, it becomes difficult to distinguish what you wrote from what was already there. Keeping an engineering logbook helps immensely with this problem, but there is a better way. You could add comments before and after your changes to indicate which lines of code are your modifications. For example, you could place a comment like /* BEGIN CAB MODIFICATION */ before the code and a comment like /* END CAB MODIFICATION */ after the code. This allows you to bracket your changes and helps you search for the changes easily using a number of text and line parsing utilities. An example of this technique is shown in Listing 3-25.

When you become more familiar with AspectJ, you can add many other tweaks to optimally configure the AspectJ-based pooling solution to fit your system s needs.