Java List去重：Stream、HashMap与TreeSet对比分析
在处理包含重复元素的List时，高效地去除重复项是提高数据质量的关键步骤。本文将详细介绍如何运用Java 8 Stream API、HashMap以及TreeSet来实现List去重，并比较它们之间的优缺点及适用场景。
1. 使用Stream API去重
List<String> duplicates = Arrays.asList("apple", "banana", "apple", "cherry", "banana");
List<String> uniqueUsingStream = duplicates.stream().distinct().collect(Collectors.toList());
distinct()是Stream API提供的一个中间操作，它可以有效地移除流中的重复元素。此方法基于Object.equals()实现去重，适用于对象已正确覆盖equals()和hashCode()方法的情况。
2. 使用HashMap去重
List<String> duplicates = ... // 假设是包含重复元素的列表
Set<String> uniqueUsingMap = new HashSet<>(duplicates);
List<String> uniqueListUsingMap = new ArrayList<>(uniqueUsingMap);
通过将List转换为HashSet（底层实现为HashMap），可以利用哈希表特性达到去重效果。这种方法同样依赖于对象的equals()和hashCode()方法，但通常具有较高的性能。
3. 使用TreeSet去重
List<String> duplicates = ... // 同上
List<String> uniqueUsingTreeSet = new ArrayList<>(new TreeSet<>(duplicates));
TreeSet内部使用红黑树进行排序和去重，如果元素类型实现了Comparable接口或者提供了Comparator，那么不仅能去重还能按照指定顺序排列元素。
4. 实例代码详解
1. 使用Stream API去重
import java.util.Arrays;
import java.util.List;
import java.util.stream.Collectors;public class ListDeDuplicationExample {public static void main(String[] args) {// 创建一个包含重复元素的ListList<String> duplicates = Arrays.asList("apple", "banana", "apple", "cherry", "banana");// 使用Stream API进行去重List<String> uniqueUsingStream = duplicates.stream().distinct().collect(Collectors.toList());// 输出去重后的结果System.out.println("Unique elements using Stream API: " + uniqueUsingStream);// 解析：// `stream()`将List转换为Stream流，`distinct()`是一个中间操作，它会跳过所有连续重复的元素，仅保留第一个出现的。// 最后，`collect(Collectors.toList())`将去重后的流转换回List形式。}
}2. 使用HashMap去重
import java.util.ArrayList;
import java.util.HashSet;
import java.util.List;public class ListDeDuplicationExample {public static void main(String[] args) {// 同样创建一个包含重复元素的ListList<String> duplicates = Arrays.asList("apple", "banana", "apple", "cherry", "banana");// 使用HashMap（通过HashSet间接实现）去重Set<String> uniqueSetUsingMap = new HashSet<>(duplicates);// 将Set转换回ListList<String> uniqueListUsingMap = new ArrayList<>(uniqueSetUsingMap);// 输出去重后的结果System.out.println("Unique elements using HashMap: " + uniqueListUsingMap);// 解析：// HashSet是不允许重复元素存在的集合，其内部使用了HashMap来存储数据，因此当我们将List添加到HashSet时，重复的元素会被自动忽略。// 由于HashSet不保证元素的插入顺序，所以最终转换回List时，元素的顺序可能会变化。}
}3. 使用TreeSet去重并排序
import java.util.ArrayList;
import java.util.List;
import java.util.TreeSet;public class ListDeDuplicationExample {public static void main(String[] args) {// 创建包含重复元素且未排序的ListList<String> duplicates = Arrays.asList("banana", "apple", "cherry", "apple", "banana");// 使用TreeSet去重并按自然顺序排序TreeSet<String> uniqueSortedSet = new TreeSet<>(duplicates);// 将TreeSet转换回ListList<String> uniqueAndSortedList = new ArrayList<>(uniqueSortedSet);// 输出去重并排序后的结果System.out.println("Unique and sorted elements using TreeSet: " + uniqueAndSortedList);// 解析：// TreeSet不仅不允许重复元素，而且它以红黑树的形式存储数据，实现了SortedSet接口，这意味着元素会按照它们的自然顺序或者自定义Comparator进行排序。// 当元素类型String已经实现了Comparable接口时，无需额外提供Comparator也能完成排序。}
}
5. 区别总结
- Stream.distinct()：简洁易用，适合小到中等规模的数据集，且对象需正确实现equals()和hashCode()。适用于数据清洗或简单的集合去重操作，特别是在已经使用Stream API处理其他逻辑的场景下。
- HashMap/HashSet：基于哈希表，效率较高，尤其在大量数据下表现优秀，同样要求对象具备正确的equals()和hashCode()。当需要快速去重并且不关心元素顺序时，这是一个很好的选择，例如在内存数据库或缓存系统中。
- TreeSet：不仅去重，还能自动排序，若数据量大且需要排序，则适用性更广，但性能相比前两者可能稍低，因为涉及到了额外的排序操作。当去重的同时需要对元素进行排序时，如生成有序的结果集，或者用于需要保持特定顺序的业务场景。
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