The Java collection framework is a multi-functional data storage and processing tool based on the principles of generics, interfaces and implementation classes. It provides various data structures such as lists, sets, and maps that can be used to store, retrieve, and manipulate data. In practical applications, the collection framework can be used for data storage, data manipulation and concurrent access.
The Java collection framework is a large and powerful library. Helps us store, manage and process data collections. It provides a variety of data structures, including lists, sets, maps, and queues, each optimized for specific types of operations.
Under the hood, the Java collection framework uses the following principles:
The Java collection framework is widely used in real-life applications:
Data storage:
Using lists , collection, or map to store and retrieve data objects.
Data Manipulation:
Use algorithms and operations in the Collections Framework to manipulate data, such as sorting, filtering, and grouping.
Concurrent access:
Use concurrent collections, such as ConcurrentHashMap
, to safely access and modify data in a multi-threaded environment.
Example 1: Using a list to store student data
import java.util.List; import java.util.ArrayList; public class StudentList { public static void main(String[] args) { // 创建一个学生列表 List<Student> students = new ArrayList<>(); // 添加学生到列表 students.add(new Student("John", "Doe")); students.add(new Student("Jane", "Smith")); // 遍历并打印学生信息 for (Student student : students) { System.out.println(student.getName()); } } // 学生类 static class Student { private String firstName; private String lastName; public Student(String firstName, String lastName) { this.firstName = firstName; this.lastName = lastName; } public String getName() { return firstName + " " + lastName; } } }
Example 2: Using a map to store word counts
import java.util.Map; import java.util.HashMap; public class WordCount { public static void main(String[] args) { // 创建一个单词计数映射 Map<String, Integer> wordCounts = new HashMap<>(); // 按单词更新映射 wordCounts.put("apple", 5); wordCounts.computeIfPresent("banana", (word, count) -> count + 1); // 遍历并打印单词计数 for (Map.Entry<String, Integer> entry : wordCounts.entrySet()) { System.out.println(entry.getKey() + ": " + entry.getValue()); } } }
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