How to Improve the best Optimization of Java Code🙌

We come across the notion of optimization while working on any Java program. It is critical that the code we write is not just clean and error-free, but also optimize. So meaning that the time it takes to run the code is kept within acceptable boundaries. To do this, we must go to the Java coding standards and examine our code to ensure that it complies with them.

JAVA CODE

However, owing to time restrictions, we don’t always have time to thoroughly evaluate the code. In such instances, we’ve put together some pointers that a developer may bear in mind while creating any requirement. However, so that he or she only needs to make minor modifications to the code to solve performance issues. Which are during the testing process or before releasing it to production.

Optimization of Java Code:

  • Stop writing Long Methods

The methods should not be very lengthy and should only be use to complete a single task. Because the method is loaded in stack memory at class loading and during method calls, it is better for maintenance and performance. When methods are big and include a lot of processing, they take up a lot of memory and CPU cycles to run. At logical places, try to split the methods down into smaller chunks.

  • Stop adding multiple if-else statements

In our programming, we utilise conditional statements to make decisions. The usage of conditional statements should be limited. If we use too many conditional if-else lines, efficiency will suffer since JVM will have to compare the conditions. This can be exacerbated if the same is use in looping statements such as for, while, and so on. If possible, we may also consider using a switch statement instead of several if-else statements. When compared to if-else, the switch statement offers a performance benefit.

Use more Primitives

Primitive types are preferable to objects because primitive type data is save on stack memory whereas object data is store on heap memory. Because data access from stack memory is quicker than heap memory, we can utilize basic types instead of objects if possible. As a result, using int over Integer or double over Double is always advantageous.

  • Avoid creation f Big Objects

Within the application, there are several classes that function as data holders. These things are cumbersome, and they should be avoid at all costs. DB connection objects, system configuration objects, and session objects for the user after login are examples of such things. When making these items, a lot of resources were require.

Instead of creating these objects, we should reuse them because creating them will significantly slow down the application’s performance owing to increase memory use.

Also read, Things You Know to Pass Your Python Coding Interview💯

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