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JAVA underlying memory management and optimization practice
Abstract: Memory management is one of the keys to program operation, and the same is true for Java programs. This article will introduce the theoretical knowledge of Java's underlying memory management and provide some specific code examples of optimization practices. At the same time, some common memory management problems will also be discussed and solutions will be given.
3.1 Avoid creating unnecessary objects
In Java, the creation and destruction of objects consume memory and CPU resources. Therefore, frequent creation and destruction of objects should be avoided in your code. For example, if there is a need for loop traversal, you can use an iterator to traverse instead of creating a new collection object.
3.2 Use basic types instead of wrapper types
In Java, variables of basic types are stored directly on the stack, while variables of wrapper types need to be stored on the heap. Therefore, for frequently used variables, using basic types can reduce memory overhead and garbage collection pressure.
3.3 Timely release of occupied resources
In Java, some resources (such as files, database connections, etc.) need to be released manually after use, otherwise resource leaks may occur. In order to ensure the timely release of resources, you can use the try-with-resources statement block or explicitly call the close() method.
4.1 Memory Leak
Memory leak refers to the failure of memory that is no longer used to be released in time, resulting in a gradual increase in memory usage . Common memory leaks include incorrect object references, long-lived objects, etc. Methods to solve the memory leak problem include promptly releasing objects that are no longer used, using weak references or soft references, etc.
4.2 Memory Overflow
Memory overflow means that the program cannot obtain enough available memory when applying for memory. This is usually caused by too many objects or business logic errors in the program. Methods to solve the memory overflow problem include increasing heap memory, reducing object creation, optimizing algorithms, etc.
5.1 Avoid creating unnecessary objects
List<Integer> list = new ArrayList<>(); for (int i = 0; i < 1000; i++) { list.add(i); }
Optimized code:
List<Integer> list = new ArrayList<>(1000); for (int i = 0; i < 1000; i++) { list.add(i); }
5.2 Use basic types Alternative wrapper type
Integer sum = 0; for (int i = 0; i < 1000; i++) { sum += i; }
Optimized code:
int sum = 0; for (int i = 0; i < 1000; i++) { sum += i; }
References:
(Note: The above example code is only a demonstration, and needs to be adjusted and optimized according to specific conditions in actual development)
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