Java performance optimization is a basic precondition of the successful app functioning, but it generates a lot of confusion and misconceptions among developers. This happens mostly because there is no “one size fits all” solution that can be applied in every situation.
Instead, you have to customize your approach and consider the purpose of Java code, the tools you are using, the garbage collection methods, and all other features that influence application performance.
However, this is easier said than done since you really have to understand how Java coding works and learn about its peculiarities. In this post, we will show you seven great Java performance optimization tricks to make the process smoother and more efficient.
Java Performance Optimizations
Optimize Only When Necessary
The first step you need to take is to answer one simple question: Do I really have to change and upgrade standard libraries and optimize Java code performance? If the answer is ‘Yes’ then you can move on, but if not – you better wait for the right time to come.
App developers at the cheap essay writing agency, who specialized in Java coding, say that programmers risk wasting tons of time building complex codes if they decide to optimize prematurely: “It will cause more damage than benefits, later on, so you have to define clearly what needs to be changed before launching the process. These can be API calls response time, the number of records, or some other code element, but you must know it in advance.”
Tune Garage Collection
Garbage collection is critical to the success of Java performance optimization. It’s a complex process that requires delicate maneuvering, with the standard solution being to conduct profiling and change garbage collection parameters at the same time. If you think that garbage collection is done properly, you can move on to the next stages of code optimization.
Find the Pain Point Using a Profiler
Now is the time to look for the real Java performance pain points. You could take a long way and check the code manually to detect weak spots, but the second option – called Java Profiler – is much faster. By definition, a Java Profiler is a tool that monitors Java bytecode constructs and operations at the Java Virtual Machine level. This tool is made to automatically scan your code in order to analyze features such as system performance, memory issues, and similar bugs or leaks.
Java memory is a tricky issue because you don’t want to start with maximum heat capacity. On the contrary, it’s much better, to begin with the limited allocation and increase it gradually through continuous testing.
You can choose anywhere between 1 GB to 8 GB of the initial heap capacity. After that, it’s easy to upgrade your Java application memory, but don’t forget to solve the garbage collection overhead. Therefore, you should fine-tune garbage collection before dealing with the heap accumulation issue.
Make a Performance Test Suite
Another way to find potential problems and solve them quickly is by making a performance test suite. Such tests represent an all-encompassing control function which works both in the period before and after performance optimization. This tool makes it much simpler to notice the possible side effects of your application-related upgrades. In other words, you can make sure not to avoid any additional actions, however big or small, that make Java coding stable and more accurate.
Make Use of String Builder
Java strings are versatile since you can utilize different linking functions. Some of the most popular choices are + or StringBuffer, while a lot of programmers also use += and StringBuilder.
It’s impossible to say which one is the best because there is no such thing in Java performance optimization. However, we believe StringBuilder is a simple and intuitive tool with a wide variety of performance capabilities.
StringBuilder provides an API that is compatible with StringBuffer, but it is designed primarily for use as a drop-in replacement for the latter in places where the string buffer is being used by a single thread (as is generally the case). StringBuilder is particularly useful if you rely mostly on operations like append and insert methods.
Use Primitive Types
The last tip on our list is fairly easy, but highly productive. Namely, you can replace wrapper classes with primitive types to eliminate the garbage collection overhead. For instance, primitives such as int or double make Java application more functional, especially compared to their counterparts – Integer or Double.
Java performance optimization has the power to make or break your application, so you better make sure to utilize state of the art optimization strategies. In this post, we showed you the seven most productive ways to optimize Java performance.
Did you already use any of these tricks? Do you have other useful suggestions to share with our readers? Feel free to let us know in comments and we will be glad to discuss this topic with you!
Samantha R. Gilbert has been working as a journalist at an online-publishing agency in New York, USA for 2 years. She is also a professional writing expert in such topics as blogging, modern art, and education. Meet Samantha on Twitter.