Java中List效率的比较

  Java Collections Framework(JCF) 是Java SE中一个基本的类集,几乎所有的项目都会用到,其中的List 则是JCF中最最常用的一个接口。围绕List 接口,有很多实现,诸如常用的ArrayList 、LinkedList 、VectorStack ,还有Java5之后引入的CopyOnWriteArrayList ,也有不少List 的开源实现,如Apache commons-collections中的各类List 。

  这么多的List 实现,如何选择?他们的运行效率具体怎样?本篇文章将用具体的代码来检测其中最最常用的一些List 实现。

测试环境: 
  处理器:Intel Core 2 Duo P8600 2.4GHz
  内存:2G
  硬盘:160G 7200rpm
  Java:SUN JDK 1.6.0_15
  开发环境:Eclipse 3.5
  第三方类库:Apache commons-lang 2.4、Apache commons-collections 3.2.1

主要测试对象: 
  java.util.ArrayList;
  java.util.LinkedList;
  java.util.Stack;
  java.util.Vector;
  java.util.concurrent.CopyOnWriteArrayList;
  org.apache.commons.collections.FastArrayList;
  org.apache.commons.collections.list.TreeList;

测试用例: 
  1.测试List 
   1.1顺序添加
   1.2随机插入
   1.3随机删除
   1.4随机访问
   1.5随机更新
   1.5顺序迭代
  2.测试List 在三种情况下的排序效率
   2.1初始时List 中元素已从小到大有序排列(最优情况)
   2.2初始时List 中元素已从大到小有序排列(最差情况)
   2.3初始时List 中元素随机排列,无序
  3.测试List 互相转换的效率
   3.1转化为TreeList 
   3.2转化为ArrayList 
   3.3转化为LinkedList 
   3.4转化为CopyOnWriteArrayList 
   3.5转化为Vector

测试代码:

package test;
import static java.lang.System.out;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Iterator;
import java.util.LinkedList;
import java.util.List;
import java.util.Stack;
import java.util.Vector;
import java.util.concurrent.CopyOnWriteArrayList;
import org.apache.commons.collections.FastArrayList;
import org.apache.commons.collections.list.TreeList;
import org.apache.commons.lang.StringUtils;
import org.apache.commons.lang.time.StopWatch;
@SuppressWarnings("unchecked")
public class ListPerformance {
    public static void main(String[] args) {
        ListPerformance test = new ListPerformance(10 * 10000);
        out.print(StringUtils.center("Test List Performance: loop=" + test.loop, 80, ‘-‘));
        out.printf("/n%20s%10s%10s%10s%10s%10s%10s", "", "add", "insert", "remove", "get", "set",
                "iterator");
        test.benchmark(new FastArrayList());
        test.benchmark(new TreeList());
        test.benchmark(new ArrayList());
        test.benchmark(new LinkedList());
        test.benchmark(new CopyOnWriteArrayList());
        test.benchmark(new Vector());
        test.benchmark(new Stack());
        //2.测试排序
        out.print("/n/n");
        out.print(StringUtils.center("Test List sort Performance: loop=" + test.loop, 80, ‘-‘));
        out.printf("/n%20s%10s%10s%10s", "", "optimize", "worst", "random");
        test.benchmarkSort(new FastArrayList());
        test.benchmarkSort(new TreeList());
        test.benchmarkSort(new ArrayList());
        test.benchmarkSort(new LinkedList());
        //test.benchmarkSort(new CopyOnWriteArrayList());//UnsupportedOperationException
        test.benchmarkSort(new Vector());
        test.benchmarkSort(new Stack());
        //3.测试各种数据结构间转化
        out.print("/n/n");
        out.print(StringUtils.center("Test List convert Performance: loop=" + test.loop, 80, ‘-‘));
        out.printf("/n%20s%10s%10s%10s%10s%10s", "", "Tree", "Array", "Linked", "CopyOnWrite",
                "Vector");
        test.benchmarkConvert(new FastArrayList());
        test.benchmarkConvert(new TreeList());
        test.benchmarkConvert(new ArrayList());
        test.benchmarkConvert(new LinkedList());
        test.benchmarkConvert(new CopyOnWriteArrayList());
    }
    /**测试循环次数*/
    private int loop = 10000;
    public ListPerformance(int loop) {
        this.loop = loop;
    }
    public void benchmark(List list) {
        out.printf("/n%20s", list.getClass().getSimpleName());
        int j;
        StopWatch watch = null;
        //1.测试顺序性能(Add)
        (watch = new StopWatch()).start();
        for (int i = 0; i < loop; i++) {
            list.add(new Integer(i));
        }
        watch.stop();
        out.printf("%10d", watch.getTime());
        //2.测试随机插入性能(Random insert)
        (watch = new StopWatch()).start();
        for (int i = 0; i < loop; i++) {
            j = (int) (Math.random() * loop);
            list.add(j, new Integer(-j));
        }
        watch.stop();
        out.printf("%10d", watch.getTime());
        //3.测试随机索引删除(Random remove)
        (watch = new StopWatch()).start();
        for (int i = 0; i < loop; i++) {
            j = (int) (Math.random() * loop);
            list.remove(j);
        }
        watch.stop();
        out.printf("%10d", watch.getTime());
        //4.测试随机取数性能(Random get)
        (watch = new StopWatch()).start();
        for (int i = 0; i < loop; i++) {
            j = (int) (Math.random() * loop);
            list.get(j);
        }
        watch.stop();
        out.printf("%10d", watch.getTime());
        //5.测试随机更新性能(Random set)
        (watch = new StopWatch()).start();
        for (int i = 0; i < loop; i++) {
            j = (int) (Math.random() * loop);
            list.set(j, j);
        }
        watch.stop();
        out.printf("%10d", watch.getTime());
        //6.测试迭代性能(Iterator)
        (watch = new StopWatch()).start();
        Iterator<Object> iter = list.iterator();
        while (iter.hasNext()) {
            iter.next();
        }
        watch.stop();
        out.printf("%10d", watch.getTime());
    }
    public void benchmarkConvert(List list) {
        out.printf("/n%20s", list.getClass().getSimpleName());
        StopWatch watch = null;
        //1.转TreeList
        (watch = new StopWatch()).start();
        new TreeList(list);
        watch.stop();
        out.printf("%10d", watch.getTime());
        //2.转ArrayList
        (watch = new StopWatch()).start();
        new ArrayList(list);
        watch.stop();
        out.printf("%10d", watch.getTime());
        //3.转LinkedList
        (watch = new StopWatch()).start();
        new LinkedList(list);
        watch.stop();
        out.printf("%10d", watch.getTime());
        //4.转CopyOnWriteArrayList
        (watch = new StopWatch()).start();
        new CopyOnWriteArrayList(list);
        watch.stop();
        out.printf("%10d", watch.getTime());
        //5.转Vector
        (watch = new StopWatch()).start();
        new Vector(list);
        watch.stop();
        out.printf("%10d", watch.getTime());
    }
    public void benchmarkSort(List list) {
        out.printf("/n%20s", list.getClass().getSimpleName());
        StopWatch watch = null;
        //1.顺序List
        for (int i = 0; i < loop; i++) {
            list.add(new Integer(i));
        }
        (watch = new StopWatch()).start();
        Collections.sort(list);
        watch.stop();
        out.printf("%10d", watch.getTime());
        //2.逆序List
        for (int i = loop - 1; i > 0; i--) {
            list.add(new Integer(i));
        }
        (watch = new StopWatch()).start();
        Collections.sort(list);
        watch.stop();
        out.printf("%10d", watch.getTime());
        //3.随机顺序List
        for (int i = 0, j = 0; i < loop; i++) {
            j = (int) (Math.random() * loop);
            list.add(new Integer(j));
        }
        (watch = new StopWatch()).start();
        Collections.sort(list);
        watch.stop();
        out.printf("%10d", watch.getTime());
    }
}

测试结果:

-----------------------Test List Performance: loop=100000-----------------------
add insert remove get set iterator
FastArrayList 16 8609 8360 15 47 0
TreeList 110 187 156 47 110 78
ArrayList 15 8313 8344 0 15 0
LinkedList 47 50110 80671 59016 55391 78
CopyOnWriteArrayList 54016 484003 370891 16 105406 0
Vector 15 8266 8328 0 16 0
Stack 31 8281 8266 0 16 0
--------------------Test List sort Performance: loop=100000---------------------

结论: 
  1.随机插入、随机删除操作中,用TreeList 效率最高;
  2.在只需要追加、迭代的环境下,LinkedList 效率最高;
  3.平均效率来讲,ArrayList 相对平衡,但如果海量随机操作,还是会造成性能瓶颈;
  4.CopyOnWriteArrayList 因为线程安全的原因,致使性能降低很多,所以慎用;
  5.Vector 没有传说中那么低的效率;
  6.让Stack 来做List 的事可以,不过语义上Stack 不应该做过多的List 的事情;
  7.在排序中,ArrayList 具有最好的性能,TreeList 平均性能也不错,LinkedList 的排序效率受元素初始状态的影响很大。
  8.各种List 间转换几乎没有时间损耗。
optimize worst random
FastArrayList 47 78 110
TreeList 15 47 110
ArrayList 32 47 78
LinkedList 15 109 125
Vector 0 63 94
Stack 16 46 78
-------------------Test List convert Performance: loop=100000-------------------
Tree Array LinkedCopyOnWrite Vector
FastArrayList 0 0 0 0 0
TreeList 0 0 0 0 0
ArrayList 0 0 0 0 0
LinkedList 0 0 0 0 0
CopyOnWriteArrayList 0 0 0 0 0

 

原文:http://blog.csdn.net/inkfish/article/details/5185320

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