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说明:我所涉及到的试验代码,均是针对于1百万条记录,我的硬件配置如下:CPUP4 1.5G,256M DDR的内存。 如果要试验其代码,要采用这种方式运行:java -Xms128M -Xmx250M TestMap 1,对内存容量的要求 Map对象高于List。因为Map除了Value外还需要一个Object的Key,从而增大了Map的容量。试验代码如下:
- import java.util.*;
- public class TestMap {
- public static void main(String[] args) {
- System.out.println("begin>>>>>>>>>>>>>>");
- long sm = Runtime.getRuntime().totalMemory();
- System.out.println("Begin Memory :" + sm);
- Map m = new Hashtable();
- //LinkedList tmpList = new LinkedList();
- for (int i=0;i<1000000;i++) {
- m.put(""+i,"i=" + i);
- //Integer integer = new Integer(i);
- //tmpList.add(integer);
- }
- long em = Runtime.getRuntime().totalMemory();
- System.out.println("End Memory :" + em);
- System.out.println("End-Start Memory :" + (em - sm));
- //walkList(tmpList);
- System.out.println("<<<<<<<<<<<<<<<<end");
- //find(m,"985757");
- walkMap(m);
- //List tmpList = new LinkedList();
- //tmpList.addAll(m.values());
- }
- }
其对比结果如下:1百万条记录Map大概需要70M额外空间,而List不需要,其额外空间为0 2.遍历比较 我在试验中,发现我们经常采用遍历List的方式是一个错误的遍历方式,其性能其差无比。我们经常遍历List代码实例如下: - for(int i = 0;i<list.size();i++) {
- Object obj = list.get(i);
- }
如果List的遍历方式换一种方式,其性能和Map差不多,我们将上面的代码进行扩充,从而来比较Map和List的遍历速度: - import java.util.*;
- /**
- * @author whxu
- * @version 1.0.0 2003-4-22 AM
- */
- public class TestMap {
- public static void main(String[] args) {
- System.out.println("begin>>>>>>>>>>>>>>");
- long sm = Runtime.getRuntime().totalMemory();
- System.out.println("Begin Memory :" + sm);
- Map m = new Hashtable();
- //LinkedList tmpList = new LinkedList();
- for (int i=0;i<1000000;i++) {
- m.put(""+i,"i=" + i);
- //Integer integer = new Integer(i);
- //tmpList.add(integer);
- }
- long em = Runtime.getRuntime().totalMemory();
- System.out.println("End Memory :" + em);
- System.out.println("End-Start Memory :" + (em - sm));
- //walkList(tmpList);
- System.out.println("<<<<<<<<<<<<<<<<end");
- //find(m,"985757");
- walkMap(m);
- //List tmpList = new LinkedList();
- //tmpList.addAll(m.values());
- }
- public static void find(Map m,String key) {
- long st = System.currentTimeMillis();
- Object obj = m.get(key);
- System.out.println("Object:" + obj);
- long et = System.currentTimeMillis();
- System.out.println("Start Time:" + st);
- System.out.println("End Time:" + et);
- System.out.println("Use Time:" + (et - st));
- }
- public static void walkMap(Map m) {
- long st = System.currentTimeMillis();
- for(Iterator it = m.values().iterator();it.hasNext();) {
- Object obj = it.next();
- }
- long et = System.currentTimeMillis();
- System.out.println("WalkMap Start Time:" + st);
- System.out.println("WalkMap End Time:" + et);
- System.out.println("WalkMap Use Time:" + (et - st));
- }
- public static void walkList(LinkedList l) {
- long st = System.currentTimeMillis();
- Object obj = null;
- //System.out.println(l.get(3434));
- /*这种遍历方式的性能其差无比,建议不要使用
- for(int i=0;i<l.size();i++) {
- obj = l.get(i);
- }
- */
- for(Iterator it = l.iterator();it.hasNext();) {
- obj = it.next();
- }
- long et = System.currentTimeMillis();
- System.out.println("WalkList Start Time:" + st);
- System.out.println("WalkList End Time:" + et);
- System.out.println("WalkList Use Time:" + (et - st));
- }
- }
3.随机查找。如果Map知道了Key,List知道了index,其性能在一百万条数据中无多大差别。其实例代码如下:
- import java.util.*;
- /**
- * @author whxu
- * @version 1.0.0 2003-4-22 AM
- */
- public class TestMap
- {
- public static void main(String[] args)
- {
- System.out.println("begin>>>>>>>>>>>>>>");
- long sm = Runtime.getRuntime().totalMemory();
- System.out.println("Begin Memory :" + sm);
- Map m = new Hashtable();
- LinkedList tmpList = new LinkedList();
- for (int i=0;i<1000000;i++) {
- //m.put(""+i,"i=" + i);
- tmpList.add("i=" + i);
- }
- long em = Runtime.getRuntime().totalMemory();
- System.out.println("End Memory :" + em);
- System.out.println("End-Start Memory :" + (em - sm));
- //walkList(tmpList);
- System.out.println("<<<<<<<<<<<<<<<<end");
- //find(m,"985757");
- find(tmpList,1000000-1);
- //walkMap(m);
- //List tmpList = new LinkedList();
- //tmpList.addAll(m.values());
- }
- public static void find(Map m,String key) {
- long st = System.currentTimeMillis();
- Object obj = m.get(key);
- System.out.println("Find Map Object:" + obj);
- long et = System.currentTimeMillis();
- System.out.println("Find Map Start Time:" + st);
- System.out.println("Find Map End Time:" + et);
- System.out.println("Find Map Use Time:" + (et - st));
- }
- public static void find(List l,int index) {
- long st = System.currentTimeMillis();
- Object obj = l.get(index);
- System.out.println("Find List Object:" + obj);
- long et = System.currentTimeMillis();
- System.out.println("Find List Start Time:" + st);
- System.out.println("Find List End Time:" + et);
- System.out.println("Find List Use Time:" + (et - st));
- }
- public static void walkMap(Map m) {
- long st = System.currentTimeMillis();
- for(Iterator it = m.values().iterator();it.hasNext();) {
- Object obj = it.next();
- }
- long et = System.currentTimeMillis();
- System.out.println("WalkMap Start Time:" + st);
- System.out.println("WalkMap End Time:" + et);
- System.out.println("WalkMap Use Time:" + (et - st));
- }
- public static void walkList(LinkedList l) {
- long st = System.currentTimeMillis();
- Object obj = null;
- //System.out.println(l.get(3434));
- /*for(int i=0;i<l.size();i++) {
- obj = l.get(i);
- }
- */
- for(Iterator it = l.iterator();it.hasNext();) {
- obj = it.next();
- }
- long et = System.currentTimeMillis();
- System.out.println("WalkList Start Time:" + st);
- System.out.println("WalkList End Time:" + et);
- System.out.println("WalkList Use Time:" + (et - st));
- }
- }
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