JVM培训序幕篇

明天老王要给我们讲JVM的知识,提前发了一个小Demo给我们看,代码如下:

package demo;

import java.util.*;

public class Demo {

    public static class SkuKey {
        private String category;
        private String skuProperties;

        public SkuKey(String category, String skuProperties) {
            this.category = category;
            this.skuProperties = skuProperties;
        }
    }


    public static class Sku{
        String category;
        String skuProperties;
        String name;

        public Sku(String category, String skuProperties, String name) {
            this.category = category;
            this.skuProperties = skuProperties;
            this.name = name;
        }
    }

    public static void main(String[] args) {

        List<Sku> skus = new ArrayList();
        skus.add(new Sku("0001", "1:1;2:2;3:3", "sku-1"));
        skus.add(new Sku("0002", "1:1;2:2;3:3", "sku-2"));
        skus.add(new Sku("0003", "1:1;2:2;3:3", "sku-3"));
        skus.add(new Sku("0004", "1:1;2:2;3:3", "sku-4"));

        Map<SkuKey, Sku> skuByKey = new HashMap<>();
        for(int i = 0; i< 4000*4000; i++) {
            skus.forEach( sku -> skuByKey.put(new SkuKey(sku.category, sku.skuProperties), sku ) );
        }

        System.out.println("build map complete");

    }

}

运行上述代码,结果毫无疑问,电脑瞬间开始狂躁起来,过了十几秒,然后G了

基于JDK1.8运行的,估计老版本会崩的更快。。。

如果不计算内存,这个HashMap一共要插入4000*4000*4个对象,但是其实只有4个是不重复的,所以其实我们只要重写hashCode和equals方法就可以解决这个问题了;

    public static class SkuKey {
        private String category;
        private String skuProperties;

        public SkuKey(String category, String skuProperties) {
            this.category = category;
            this.skuProperties = skuProperties;
        }
        public int hashCode(){
            return category.hashCode() + skuProperties.hashCode();
        }
        public boolean equals(Object obj) {
            SkuKey skuKey = (SkuKey)obj;
            return this.category.equals(skuKey.category) && this.skuProperties.equals(skuKey.skuProperties);
        }
    }

等明天培训之后再总结为何以这个为例子来引入JVM的深入研究!

原文地址:https://www.cnblogs.com/pengx/p/9643766.html