本文介绍了为什么Java HashMap变慢?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我试图用一个文件的内容来构建一个地图,我的代码如下:

  System.out。 println(开始建立sns地图....); 
String basePath = PropertyReader.getProp(oldbasepath);
String pathname = basePath +\\user_sns.txt;
FileReader fr;
Map< Integer,List< Integer>> snsMap =
new HashMap< Integer,List< Integer>>(2000000);
尝试{
fr = new FileReader(pathname);
BufferedReader br = new BufferedReader(fr);
字符串行;
int i = 1; ((line = br.readLine())!= null){
System.out.println(line number:+ i);
i ++;

String [] strs = line.split(\t);
int key = Integer.parseInt(strs [0]);
int value = Integer.parseInt(strs [1]);
列表<整数> list = snsMap.get(key);
//如果追随者不在地图中
if(snsMap.get(key)== null)
list = new LinkedList< Integer>();
list.add(value);
snsMap.put(key,list);
System.out.println(map size:+ snsMap.size());
}
} catch(IOException e){
e.printStackTrace();
}
System.out.println(完成建立sns地图....);
返回snsMap;

程序在开始时速度非常快<,但信息缓慢打印为:

 地图大小:1138338 
行号:30923602
地图大小:1138338
行号:30923603
....

我尝试找到两个理由System.out.println()子句用于判断BufferedReader和HashMap的性能,而不是Java Profiler。
在获取行号信息后,有时需要一段时间才能获取地图大小的信息,有时,获取地图大小后需要一段时间才能获取行号信息。我的问题是:这会让我的程序变慢吗?大型文件的BufferedReader或大型地图的HashMap? 如果您是在Eclipse内部测试此项功能,那么您应该了解巨大性能损失由于Eclipse在控制台视图中捕获了输出,所以写入stdout / stderr。但是,如果你抱怨的是处理3000万行之后经历的放缓,那么在严格循环内打印始终是一个性能问题,即使在Eclipse之外也是如此。 我敢打赌这是一个记忆问题。首先它由于激烈的GC'ing而变慢,然后它与 OutOfMemoryError 打破。


I try to build a map with the content of a file and my code is as below:

    System.out.println("begin to build the sns map....");
    String basePath = PropertyReader.getProp("oldbasepath");
    String pathname = basePath + "\\user_sns.txt";
    FileReader fr;
    Map<Integer, List<Integer>> snsMap =
            new HashMap<Integer, List<Integer>>(2000000);
    try {
        fr = new FileReader(pathname);
        BufferedReader br = new BufferedReader(fr);
        String line;
        int i = 1;
        while ((line = br.readLine()) != null) {
            System.out.println("line number: " + i);
            i++;

            String[] strs = line.split("\t");
            int key = Integer.parseInt(strs[0]);
            int value = Integer.parseInt(strs[1]);
            List<Integer> list = snsMap.get(key);
            //if the follower is not in the map
            if(snsMap.get(key) == null)
                list = new LinkedList<Integer>();
            list.add(value);
            snsMap.put(key, list);
            System.out.println("map size: " + snsMap.size());
        }
    } catch (IOException e) {
        e.printStackTrace();
    }
    System.out.println("finish building the sns map....");
    return snsMap;

The program is very fast at first but gets much slowly when the information printed is :

 map size: 1138338
 line number: 30923602
 map size: 1138338
 line number: 30923603
 ....

I try to find to reason with two System.out.println() clauses to judge the preformance of BufferedReader and HashMap instead of a Java profiler.Sometimes it takes a while to get the information of the map size after getting the line number information, and sometimes, it takes a while to get the information of the line number information after get the map size. My question is: which makes my program slow? the BufferedReader for a big file or HashMap for a big map?

解决方案

If you are testing this from inside Eclipse, you should be aware of the huge performance penalty of writing to stdout/stderr, due to Eclipse's capturing that ouptut in the Console view. Printing inside a tight loop is always a performance issue, even outside of Eclipse.

But, if what you are complaining about is the slowdown experienced after processing 30 million lines, then I bet it's a memory issue. First it slows down due to intense GC'ing and then it breaks with OutOfMemoryError.

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09-02 15:26