By Dov Bulka
This publication used to be written with one objective in brain: to supply Java programmers with the services had to construct effective, scalable Java code. the writer stocks his event in server-side functionality tuning via measured functionality checks, known as optimizations. every one optimization discusses thoughts to enhance the functionality and scalability of your code. each declare is substantiated with difficult numbers and an experience-based overview. Java(TM) functionality and Scalability, quantity 1, presents beneficial suggestion that you're going to, without doubt, locate beneficial on your coding. provided in forty eight concise classes that concentrate on the commonest and important functionality pitfalls, this ebook bargains a plethora of sensible assistance and options for enhancing the functionality of your courses. those classes hide performance-critical parts resembling reminiscence administration, rubbish assortment, caching, and multithreading. particular classes contain: booking StringBuffer capability keeping off untimely item construction growing a good vector type Designing caching into your API the price of synchronization Parallel subtasks JNI potency various the server workload and RMI community plumbing utilizing ServletOutputStream Caching JDBC(TM) connections as well as delivering tough numbers that quantify the optimizations, the writer concludes the ebook with an software demonstrating the effectiveness of the functionality optimizations. The workout takes a standard software and raises its functionality fourfold via a sequence of steps that tie jointly the teachings realized during the ebook. He bargains either the potential and the facts to raised coding.
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In the early days of the WWW craze, product release cycles were reduced from 1 2 years to 2 3 months. Consequently, even though S-HTTP support was disabled, nobody bothered to clean out the source code. S-HTTP code was all over, and removing all traces of it was an error-prone, tedious, and time- consuming job. Obsolete code due to S-HTTP was taking a toll on performance in several major ways. First, there were many occurrences of data members introduced by S-HTTP into various objects. Those members were initialized and destroyed, unnecessarily, consuming CPU cycles because their values were essentially dead.
That would happen only inside the scope where it is being used. What we did in C was separate the definition step from the initialization step. In Java, however, what you may find is something like void f() { int i; Date x = new Date(); ... ) { ... } ... // Date x is constructed outside the ... // ... scope where it is used // Date object x only used here } If we don't execute the scope in which x is used, then the effort that goes into the definition of x is pure overhead. It consists of • Allocating a new object • Executing the constructor logic • Garbage collecting the object sometime in the future This problem has a very easy solution: Define your objects in the scope that uses them, as in void f() { int i; 44 45 ...
Surely, there's a crossover point at which copying the character array will be faster than making repeated calls to charAt(). Next we design a test to look for that cutoff point. We will stick with the current exercise of converting a String object to a byte array. You don't really need a profiler to convince yourself that the asciiGetBytes() method is dominated by the loop iterating over the String characters. It is also rather obvious that this loop is dominated by repeated calls to charAt().