Java Performance Tuning (2nd Edition) by Jack Shirazi

By Jack Shirazi

Functionality has been an incredible factor for Java builders ever because the first model hit the streets. through the years, Java functionality has better dramatically, yet tuning is vital to get the easiest effects, particularly for J2EE purposes. you could by no means have code that runs too quickly. Java Peformance Tuning, 2d variation presents a complete and fundamental consultant to taking out all kinds of functionality difficulties. utilizing many real-life examples to paintings in the course of the tuning technique intimately, JPT exhibits how tips resembling minimizing item production and exchanging strings with arrays can relatively repay in enhancing your code's functionality. Tuning J2EE purposes bears many similarities to tuning J2SE apps, yet vital and particular concerns follow. accordingly, Java functionality Tuning, moment version comprises 4 new chapters: a brand new bankruptcy on J2EE program tuning often by means of chapters on tuning JDBC, servlets and JSPs, and EJBs. Java functionality Tuning bargains common sense suggestion approximately what to song and what to go away on my own, emphasizing innovations that supply massive functionality profits with minimum code restructuring. It can provide an important counsel that is helping you song with out destroying your program's structure. Blindly altering issues which will make a software run swifter is a smart 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 the way to:Create a functionality plan Glean information regarding your program's habit from profiling instruments establish bottlenecks sooner than tuning reduce the variety of items your application creates, quite severe for J2EE purposes Optimize using strings steer clear of functionality consequences from inefficient code enhance the habit of loops and switches Optimize I/O habit Use applicable algorithms for sorting and different universal initiatives Use threads successfully Optimize the functionality of allotted structures accelerate servlets and JSPs constitution JDBC utilization successfully Use powerful layout styles to optimize EJB performanceCovers JDK 1.4

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Extra info for Java Performance Tuning (2nd Edition)

Sample text

It also means that you cannot determine from which thread a particular method call was made. Nevertheless, after re-sorting the section on the time field rather than the count field, the profile data is useful enough to suffice as a method profiler when you have no better alternative. One problem I've encountered is the limited size of the list of methods that can be held by the internal profiler. Technically, this limitation is 10,001 entries in the profile table, and there is presumably one entry per method.

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. These results reveal that GC is taking way too much time, but at least the metric is accurate. , one CPU at 100% and the other unused), which, if everything else was as reported, would have yielded a GC percentage of 22% (as it would have been 50% of 718 seconds of GC CPU time).

The methods are ranked according to the percentage of time they take. Note that the trace does not identify actual method signatures, only method names. [8] [8] The samples that count toward a particular method's execution time are those where the method itself is executing at the time of the sample. If method foo( ) were calling another method when the sample was taken, that other method would be at the top of the stack instead of foo( ). So you do not need to worry about the distinction between foo( )'s execution time and the time spent executing foo( )'s callees.

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