By Scott Oaks
Coding and trying out are usually thought of separate parts of workmanship. during this entire advisor, writer and Java professional Scott Oaks takes the technique that any one who works with Java will be both adept at realizing how code behaves within the JVM, in addition to the tunings more likely to aid its functionality. you will achieve in-depth wisdom of Java program functionality, utilizing the Java digital computer (JVM) and the Java platform, together with the language and API. builders and function engineers alike will examine quite a few gains, instruments, and procedures for bettering the best way Java 7 and eight functions practice.
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Extra resources for Java Performance: The Definitive Guide: Getting the Most Out of Your Code
Many important tuning flags calculate their defaults based on the underlying hardware the JVM is running on. Code is compiled dif‐ ferently from platform to platform. Caches—software and, more importantly, hard‐ ware—behave differently on different systems, and under different loads. And so on… Hence, the performance of a particular production environment can never be fully known without testing the expected load on the expected hardware. Approxima‐ tions and extrapolations can be made from running smaller tests on smaller hard‐ ware, and in the real world, duplicating a production environment for testing can be quite difficult or expensive.
3-second response time but only 400 OPS. Throughput measurements are almost always taken after a suitable warm-up period, particularly since what is being measured is not a fixed set of work. info | 25 Response Time Tests The last common test is one that measures response time: the amount of time that elapses between the sending of a request from a client and the receipt of the response. The difference between a response time test and a throughput test (assuming the latter is client-server based) is that client threads in a response time test sleep for some period of time between operations.
Being idle doesn’t help anyone in that case, and if we were doing a useful (lengthy) calculation, forcing the CPU to be periodically idle would mean that it would take longer to get the answer we are after. If you run this command on a single-CPU machine, much of the time you are unlikely to notice that it is running. But if you attempt to start a new program, or time the performance of another application, then you will certainly see the effect. Operating systems are good at time-slicing programs that are competing for CPU cycles, but there will be less CPU available for the new program, and it will run more slowly.
Java Performance: The Definitive Guide: Getting the Most Out of Your Code by Scott Oaks