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Memory allocation in Java is critical to application performance. By profiling allocation patterns, we can identify memory allocation hotspots. Optimization techniques include using object pools, avoiding unnecessary object creation, optimizing garbage collection, and using memory analysis tools. For example, for strings that are allocated frequently, we can use StringBuilder to build the string and reduce the number of allocations.
Analyzing and optimizing memory allocation performance in Java
Introduction
In Java Memory allocation is a critical operation that can significantly impact application performance. By analyzing and optimizing the memory allocation process, we can improve application responsiveness and throughput.
Memory Allocation Analysis
In order to optimize memory allocation, we first need to analyze the allocation pattern of the application. The following tools are available:
These tools help us identify memory allocation hotspots and understand how often and where objects are created.
Optimization technology
After analyzing the allocation pattern, we can use the following methods to optimize:
Practical Case
Let us consider the following sample code where String
objects are continuously allocated:
public class StringAllocation { public static void main(String[] args) { for (int i = 0; i < 1_000_000; i++) { String s = "String " + i; } } }
Used jmap
Profiling the application shows that a large number of memory allocations come from String
objects. To optimize allocation, we can use StringBuilder
to build a string before converting it to String
:
public class StringBuilderAllocation { public static void main(String[] args) { StringBuilder sb = new StringBuilder(); for (int i = 0; i < 1_000_000; i++) { sb.append("String ").append(i); } String s = sb.toString(); } }
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