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before() : traceMethods() { Signature signature = thisJoinPointStaticPart.getSignature(); traceMethodWithMessage(signature, "Entering"); } after() returning : traceMethods() { Signature signature = thisJoinPointStaticPart.getSignature(); traceMethodWithMessage(signature, "Exiting"); } Notice that the advice type is followed, after the semicolon, by the pointcut to which it applies. The before advice on traceMethods is pretty straightforward; in the body of the advice we are using the field thisJoinPointStaticPart, which gives us access to the signature of the method being advised. AspectJ provides several ways to access the context of the current advice. The signature of the method is then passed to the custom method traceMethodWithMessage alongside the message string parameter Entering . The after advice can be defined for the different outcomes of a method call. It can either apply after the successful return from the method call, after an exception, or in both cases. In our case we want the advice to apply after a successful method call as signified by the keyword returning . If we want to log methods which throw an exception, we can use an after advice as follows: after() throwing(Throwable t) : traceMethods() { Signature signature = thisJoinPointStaticPart.getSignature(); traceMethodWithMessage(signature, "Exception", t); } The traceMethodWithMessage methods make use of the Jakarta Commons Logging package to perform the actual logging as shown next: private void traceMethodWithMessage(Signature signature, String message) { traceMethodWithMessage(signature, message, null); } private void traceMethodWithMessage(Signature signature, String message, Throwable t) { Log log = LogFactory.getLog(signature.getDeclaringType()); if (log.isTraceEnabled()) { String logMessage = message + " [" + getMethodName(signature) + "]" + (t != null t : ""); log.trace(logMessage); } } private String getMethodName(Signature signature) { return signature.getDeclaringType().getName() + "." + signature.getName(); }

The output tells you how many times the table was accessed in the plan (Scan count ); how many reads from cache were involved (logical reads ); how many reads from disk were involved (physical reads and read-ahead reads ); and similarly, how many logical and physical reads related to large objects were involved (lob logical reads, lob physical reads, lob read-ahead reads ). Run the following code to turn the session option off: SET STATISTICS IO OFF;

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A data source component is a data control that can implement some or all of a standard set of data operations. Whether a control implements the entire standard set of operations or only a subset depends on the class. For example, you can have a SQL data source control (a data source control that manages relational data) that supports selection and updates and another data source control that provides only selection capabilities. The standard set of data operations includes the four basic I/O operations: select, delete, insert, and update. The data source component is also expected to return the fetched data as an object. The type of the returned object depends on the particular implementation. The selection should be smart enough to support optional filtering and sorting. The data source component exposes these operations to page developers through a number of intuitive method calls on the data source control. The methods are grouped in a new interface that characterizes the data source components.

Backing Store Disk file Array of bytes held in memory System.Net.Sockets.NetworkStream Network connection

In addition, some locks impose a limitation where the thread that acquires the lock must be the thread that releases the lock . And some locks allow the currently owning thread to own the lock recursively . The Mutex lock is an example of a lock that has these characteristics .1 Using some fancy logic, it is possible to build a hybrid lock that offers spinning, thread ownership, and recursion . Here is what the code looks like:

Check for integer division When you re using integers, 7/10 does not equal 0.7. It usually equals 0. This applies equally to intermediate results. In the real world 10 * (7/10) = (10*7) / 10 = 7. Not so in the world of integer arithmetic. 10 * (7/10) equals 0 because the

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