Java中运行HTTPUrlConnection的某些链接的下载缓慢

如何解决Java中运行HTTPUrlConnection的某些链接的下载缓慢

我是编程新手。我正在尝试为Android编写一个应用程序,该应用程序将下载带有HTML链接的列表,并使用给定的链接下载这些链接的内容。我将发布下载程序的代码和日志。我的问题是:为什么有些链接大约需要5秒,而有些链接最多需要5分钟?原因可能不是网站,而是当我在Chrome或其他浏览器中打开链接时立即加载页面的原因。你们可以帮我吗?

package com.example.newsreader;

import android.util.Log;

import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.net.HttpURLConnection;
import java.net.URL;

public class MyRunnable implements Runnable {

    String result = "";
    String urlSource="";

    public MyRunnable(String urlSource){
        this.urlSource = urlSource;
    }

    @Override
    public void run() {
        Thread t1 = new Thread(new Runnable() {
            @Override
            public void run() {
                try {
                    result = "";
                    URL url = new URL(urlSource);
                    HttpURLConnection urlConnection = (HttpURLConnection) url.openConnection();
                    urlConnection.setRequestMethod("GET");
                    InputStream inputStream = urlConnection.getInputStream();
                    InputStreamReader inputStreamReader = new InputStreamReader(inputStream);

                    int data = inputStreamReader.read();

                    while (data !=-1) {
                        char current = (char) data;
                        result += current;
                        data = inputStreamReader.read();
                    }

                    inputStream.close();

                } catch (IOException e) {
                    e.printStackTrace();
                }
            }
        });
        t1.start();
        try{
            t1.join();
        } catch (Exception e){
            e.printStackTrace();
        }
    }

    public String getResult(){
        return result;
    }
}

LOGDATA: Times for Each Link to finish

解决方法

您正在逐一读取数据,效率不高。相反,您应该创建char缓冲区并按小块读取数据。

也不要连接很多字符串,请使用StringBuilder,这样可以减少此类操作的内存。

 public class MyRunnable implements Runnable {

    private final StringBuilder result = new StringBuilder();
    String urlSource="";
    private final char[] buffer = new char[512]; //allocating buffer

    public MyRunnable(String urlSource){
        this.urlSource = urlSource;
    }

    @Override
    public void run() {
        Thread t1 = new Thread(new Runnable() {
            @Override
            public void run() {
                try {
                    result.setLength(0); //clearing StringBuilder
                    URL url = new URL(urlSource);
                    HttpURLConnection urlConnection = (HttpURLConnection) url.openConnection();
                    urlConnection.setRequestMethod("GET");
                    InputStream inputStream = urlConnection.getInputStream();
                    InputStreamReader inputStreamReader = new InputStreamReader(inputStream);
                    
                    // now reading not by 1 char,but by 512 for once
                    int i;
                    while ((i = inputStreamReader.read(buffer)) != -1) {
                       result.append(buffer,i);
                    }

                    inputStreamReader.close(); //close reader instead of InputStream

                } catch (IOException e) {
                    e.printStackTrace();
                }
            }
        });
        t1.start();
        try{
            t1.join();
        } catch (Exception e){
            e.printStackTrace();
        }
    }

    public String getResult(){
        return result.toString(); //converting StringBuilder to String
    }
}

并使用BufferedInputStream,它也可以提高速度。

InputStreamReader inputStreamReader = new InputStreamReader(new BufferedInputStream(inputStream));

使用“ https://www.google.com”进行的某些测试:

Simple run
time: 838 ms
run with char buffer
time: 264 ms
Run with char buffer and BufferedInputStream
time: 130 ms

版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 dio@foxmail.com 举报,一经查实,本站将立刻删除。

相关推荐


使用本地python环境可以成功执行 import pandas as pd import matplotlib.pyplot as plt # 设置字体 plt.rcParams['font.sans-serif'] = ['SimHei'] # 能正确显示负号 p
错误1:Request method ‘DELETE‘ not supported 错误还原:controller层有一个接口,访问该接口时报错:Request method ‘DELETE‘ not supported 错误原因:没有接收到前端传入的参数,修改为如下 参考 错误2:cannot r
错误1:启动docker镜像时报错:Error response from daemon: driver failed programming external connectivity on endpoint quirky_allen 解决方法:重启docker -> systemctl r
错误1:private field ‘xxx‘ is never assigned 按Altʾnter快捷键,选择第2项 参考:https://blog.csdn.net/shi_hong_fei_hei/article/details/88814070 错误2:启动时报错,不能找到主启动类 #
报错如下,通过源不能下载,最后警告pip需升级版本 Requirement already satisfied: pip in c:\users\ychen\appdata\local\programs\python\python310\lib\site-packages (22.0.4) Coll
错误1:maven打包报错 错误还原:使用maven打包项目时报错如下 [ERROR] Failed to execute goal org.apache.maven.plugins:maven-resources-plugin:3.2.0:resources (default-resources)
错误1:服务调用时报错 服务消费者模块assess通过openFeign调用服务提供者模块hires 如下为服务提供者模块hires的控制层接口 @RestController @RequestMapping("/hires") public class FeignControl
错误1:运行项目后报如下错误 解决方案 报错2:Failed to execute goal org.apache.maven.plugins:maven-compiler-plugin:3.8.1:compile (default-compile) on project sb 解决方案:在pom.
参考 错误原因 过滤器或拦截器在生效时,redisTemplate还没有注入 解决方案:在注入容器时就生效 @Component //项目运行时就注入Spring容器 public class RedisBean { @Resource private RedisTemplate<String
使用vite构建项目报错 C:\Users\ychen\work>npm init @vitejs/app @vitejs/create-app is deprecated, use npm init vite instead C:\Users\ychen\AppData\Local\npm-
参考1 参考2 解决方案 # 点击安装源 协议选择 http:// 路径填写 mirrors.aliyun.com/centos/8.3.2011/BaseOS/x86_64/os URL类型 软件库URL 其他路径 # 版本 7 mirrors.aliyun.com/centos/7/os/x86
报错1 [root@slave1 data_mocker]# kafka-console-consumer.sh --bootstrap-server slave1:9092 --topic topic_db [2023-12-19 18:31:12,770] WARN [Consumer clie
错误1 # 重写数据 hive (edu)> insert overwrite table dwd_trade_cart_add_inc > select data.id, > data.user_id, > data.course_id, > date_format(
错误1 hive (edu)> insert into huanhuan values(1,'haoge'); Query ID = root_20240110071417_fe1517ad-3607-41f4-bdcf-d00b98ac443e Total jobs = 1
报错1:执行到如下就不执行了,没有显示Successfully registered new MBean. [root@slave1 bin]# /usr/local/software/flume-1.9.0/bin/flume-ng agent -n a1 -c /usr/local/softwa
虚拟及没有启动任何服务器查看jps会显示jps,如果没有显示任何东西 [root@slave2 ~]# jps 9647 Jps 解决方案 # 进入/tmp查看 [root@slave1 dfs]# cd /tmp [root@slave1 tmp]# ll 总用量 48 drwxr-xr-x. 2
报错1 hive> show databases; OK Failed with exception java.io.IOException:java.lang.RuntimeException: Error in configuring object Time taken: 0.474 se
报错1 [root@localhost ~]# vim -bash: vim: 未找到命令 安装vim yum -y install vim* # 查看是否安装成功 [root@hadoop01 hadoop]# rpm -qa |grep vim vim-X11-7.4.629-8.el7_9.x
修改hadoop配置 vi /usr/local/software/hadoop-2.9.2/etc/hadoop/yarn-site.xml # 添加如下 <configuration> <property> <name>yarn.nodemanager.res