By Jack Shirazi
Functionality has been a massive factor for Java builders ever because the first model hit the streets. through the years, Java functionality has more advantageous dramatically, yet tuning is key to get the easiest effects, specifically for J2EE functions. you could by no means have code that runs too quickly. Java Peformance Tuning, 2d variation presents a accomplished and crucial advisor to disposing of every kind of functionality difficulties. utilizing many real-life examples to paintings during the tuning technique intimately, JPT indicates how methods reminiscent of minimizing item production and changing strings with arrays can particularly repay in enhancing your code's functionality. Tuning J2EE purposes bears many similarities to tuning J2SE apps, yet vital and particular concerns follow. therefore, Java functionality Tuning, moment variation contains 4 new chapters: a brand new bankruptcy on J2EE program tuning normally by way of chapters on tuning JDBC, servlets and JSPs, and EJBs. Java functionality Tuning bargains commonsense suggestion approximately what to track and what to go away on my own, emphasizing thoughts that supply gigantic functionality profits with minimum code restructuring. It promises an important advice that is helping you song with out destroying your program's structure. Blindly altering issues so one can make a software run quicker is a brilliant strategy to create buggy, unmaintainable code. Java functionality Tuning teaches you to paintings successfully and successfully, leading to code that's powerful, maintainable, and speedy. Java functionality Tuning, moment variation indicates you ways to:Create a functionality plan Glean information regarding your program's habit from profiling instruments determine bottlenecks earlier than tuning reduce the variety of gadgets your application creates, really serious for J2EE functions Optimize using strings keep away from functionality consequences from inefficient code increase the habit of loops and switches Optimize I/O habit Use acceptable algorithms for sorting and different universal projects Use threads successfully Optimize the functionality of dispensed structures accelerate servlets and JSPs constitution JDBC utilization successfully Use powerful layout styles to optimize EJB performanceCovers JDK 1.4
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Additional resources for Java Performance Tuning (2nd Edition)
To be completely accurate, you also need to factor in how much load the application and GC put on the CPU, which would require you to monitor the underlying system for the duration of the test (see Chapter 14 for tools to do that). In this case, the server ran on a single-processor system. 5%. 5% of 2400 seconds (40 minutes), which makes 1620 seconds. The CPU time for the GC was 100% of 718 seconds, which makes 718 seconds. Therefore, garbage collection took 718 out of 1620 seconds, or 44% of the application's processing time.
If a method is called in different ways, it may also give rise to different stack traces. Sometimes the same method call can be listed in different stack traces due to lost information. Each of these different stack traces results in a different entry in the third section of the profiler's output, even though the method field is the same. append(int), but called from two different methods (and so giving rise to two different stack traces and consequently two different lines in the summary example).
However, these times include the times taken to output the printed statements from the garbage collector and are therefore higher times than those for the garbage collection alone. To see the pure synchronous garbage-collection times for this code fragment, you need to run the program without the verbosegc option. In the previous examples, the garbage collector kicks in either because it has been called by the code fragment or because creating an object from the code fragment (or the runtime initialization) encounters a lack of free memory from which to allocate space for that object.
Java Performance Tuning (2nd Edition) by Jack Shirazi