SpringBoot整合Xxl-Job

发布时间：2020-12-15 07:13:51 所属栏目：Java 来源：网络整理

导读：一、下载Xxl-Job源代码并导入本地并运行 Github地址: https://github.com/xuxueli/xxl-job 中文文档地址: https://www.xuxueli.com/xxl-job/ 1.使用Idea或Eclipse导入 2.执行sql脚本(红色标记处) 3.运行xxl-job-admin(xxl-job后台管理，主要方便管理各种各样

一、下载Xxl-Job源代码并导入本地并运行

Github地址:
https://github.com/xuxueli/xxl-job

中文文档地址:
https://www.xuxueli.com/xxl-job/

1.使用Idea或Eclipse导入

2.执行sql脚本(红色标记处)

3.运行xxl-job-admin(xxl-job后台管理，主要方便管理各种各样的任务)

注意:在运行之前，需要把2的sql脚本执行完毕，并修改数据库连接池。

正常启动，访问地址为:
http://localhost:8080/xxl-job-admin

效果图，如下所示:

用户名默认为admin
密码为123456

输入后，进入这个界面，如图:

这样就表示Xxl-Job成功运行了。确保运行没问题后，就可以开始下一步。

二、添加执行器(Xxl-Job源代码就一个Example，可以复用过来，你也可以选择自己新建项目，新建项目可以在Xxl-Job基础上，也可以放在其它项目中)

1.新建一个Maven项目，命名为blog-xxl-job。

2.导入Maven依赖

<!-- https://mvnrepository.com/artifact/com.xuxueli/xxl-job-core -->
       <dependency>
           <groupId>com.xuxueli</groupId>
           <artifactId>xxl-job-core</artifactId>
           <version>2.2.0</version>
       </dependency>
       <dependency>
           <groupId>org.springframework.cloud</groupId>
           <artifactId>spring-cloud-starter-netflix-eureka-client</artifactId>
       </dependency>
       <dependency>
           <groupId>org.springframework.boot</groupId>
           <artifactId>spring-boot-starter-web</artifactId>
       </dependency>

3.新建application.yml配置文件并添加如下内容

#eureka
eureka.client.serviceUrl.defaultZone=http:localhost:8761/eureka/
# web port
server.port=8081
# no web
#spring.main.web-environment=false
# log config
logging.config=classpath:logback.xml
### xxl-job admin address list,such as "http://address" or http://address01,http://address02"
xxl.job.admin.addresses=http:127.0.0.1:8080/xxl-job-admin
### xxl-job,access token
xxl.job.accessToken=
### xxl-job executor appname
xxl.job.executor.appname=blog-xxl-job-executor
### xxl-job executor registry-address: default use address to registry,otherwise use ip:port if address is null
xxl.job.executor.address=
### xxl-job executor server-info
xxl.job.executor.ip=
xxl.job.executor.port=9999
### xxl-job executor log-path
xxl.job.executor.logpath=/data/applogs/xxl-job/jobhandler
### xxl-job executor log-retention-days
xxl.job.executor.logretentiondays=30

可以不用eureka，这里我的项目中用到eureka所以增加该配置。

增加logback.xml配置:

<?xml version=1.0" encoding=UTF-8"?>
<configuration debug=false" scan=true" scanPeriod=1 seconds">

    <contextName>logback</contextName>
    <property name=log.path" value=/data/applogs/xxl-job/xxl-job-executor-sample-springboot.log"/>

    <appender name=console" class=ch.qos.logback.core.ConsoleAppender">
        <encoder>
            <pattern>%d{HH:mm:ss.SSS} %contextName [%thread] %-5level %logger{36} - %msg%n</pattern>
        </encoder>
    </appender>

    <appender name=filech.qos.logback.core.rolling.RollingFileAppender">
        <file>${log.path}</file>
        <rollingPolicy ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
            <fileNamePattern>${log.path}.%d{yyyy-MM-dd}.zip</fileNamePattern>
        </rollingPolicy>
        <encoder>
            <pattern>%date %level [%thread] %logger{36} [%file : %line] %msg%n
            </pattern>
        </encoder>
    </appender>

    <root level=info">
        <appender-ref ref="/>
        <appender-"/>
    </root>

</configuration>

4.编写Application类

package com.springcloud.blog.job.execute;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.client.discovery.EnableDiscoveryClient;
import org.springframework.cloud.netflix.eureka.EnableEurekaClient;

@EnableEurekaClient
@EnableDiscoveryClient
@SpringBootApplication
public class BlogXxlJobExecutorApplication {
    static void main(String[] args) {
        SpringApplication.run(BlogXxlJobExecutorApplication.,args);
    }

}

5.编写Job执行器

package com.springcloud.blog.job.execute.jobhandler;

import com.xxl.job.core.biz.model.ReturnT;
import com.xxl.job.core.handler.IJobHandler;
import com.xxl.job.core.handler.annotation.XxlJob;
import com.xxl.job.core.log.XxlJobLogger;
import com.xxl.job.core.util.ShardingUtil;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.stereotype.Component;

import java.io.BufferedInputStream;
import java.io.BufferedReader;
import java.io.DataOutputStream;
import java.io.InputStreamReader;
import java.net.HttpURLConnection;
import java.net.URL;
import java.util.Arrays;
import java.util.concurrent.TimeUnit;

/**
 * XxlJob开发示例（Bean模式）
 * <p>
 * 开发步骤：
 * 1、在Spring Bean实例中，开发Job方法，方式格式要求为 "public ReturnT<String> execute(String param)"
 * 2、为Job方法添加注解 "@XxlJob(value="自定义jobhandler名称",init = "JobHandler初始化方法",destroy = "JobHandler销毁方法")"，注解value值对应的是调度中心新建任务的JobHandler属性的值。
 * 3、执行日志：需要通过 "XxlJobLogger.log" 打印执行日志；
 *
 * @author xuxueli 2019-12-11 21:52:51
 */
@Component
 SampleXxlJob {
    private static Logger logger = LoggerFactory.getLogger(SampleXxlJob.);


    *
     * 1、简单任务示例（Bean模式）
     
    @XxlJob(demoJobHandler)
    public ReturnT<String> demoJobHandler(String param) throws Exception {
        XxlJobLogger.log(XXL-JOB,Hello World.);

        for (int i = 0; i < 5; i++) {
            XxlJobLogger.log(beat at:" + i);
            TimeUnit.SECONDS.sleep(2);
        }
        return ReturnT.SUCCESS;
    }


    *
     * 2、分片广播任务
     shardingJobHandler shardingJobHandler(String param) throws Exception {

         分片参数
        ShardingUtil.ShardingVO shardingVO = ShardingUtil.getShardingVo();
        XxlJobLogger.log(分片参数：当前分片序号 = {},总分片数 = {} 业务逻辑
        0; i < shardingVO.getTotal(); i++) {
            if (i == shardingVO.getIndex()) {
                XxlJobLogger.log(第 {} 片,命中分片开始处理else {
                XxlJobLogger.log(*
     * 3、命令行任务
     commandJobHandler commandJobHandler(String param) throws Exception {
        String command = param;
        int exitValue = -1;

        BufferedReader bufferedReader = ;
        try {
             command process
            Process process = Runtime.getRuntime().exec(command);
            BufferedInputStream bufferedInputStream = new BufferedInputStream(process.getInputStream());
            bufferedReader = new BufferedReader( InputStreamReader(bufferedInputStream));

             command log
            String line;
            while ((line = bufferedReader.readLine()) != ) {
                XxlJobLogger.log(line);
            }

             command exit
            process.waitFor();
            exitValue = process.exitValue();
        } catch (Exception e) {
            XxlJobLogger.log(e);
        } finallyif (bufferedReader != ) {
                bufferedReader.close();
            }
        }

        if (exitValue == 0 IJobHandler.SUCCESS;
        } return new ReturnT<String>(IJobHandler.FAIL.getCode(),command exit value(" + exitValue + ) is failed);
        }
    }


    *
     * 4、跨平台Http任务
     * 参数示例：
     * "url: http://www.baidu.comn" +
     * "method: getn" +
     * "data: contentn";
     httpJobHandler httpJobHandler(String param) throws Exception {

         param parse
        if (param == null || param.trim().length() == param[" + param + ] invalid.);
             ReturnT.FAIL;
        }
        String[] httpParams = param.split(n);
        String url = ;
        String method = ;
        String data = for (String httpParam : httpParams) {
            if (httpParam.startsWith(url:)) {
                url = httpParam.substring(httpParam.indexOf(") + 4).trim();
            }
            method:)) {
                method = httpParam.substring(httpParam.indexOf(7).trim().toUpperCase();
            }
            data:)) {
                data = httpParam.substring(httpParam.indexOf(5).trim();
            }
        }

         param valid
        if (url == null || url.trim().length() == url[" + url +  ReturnT.FAIL;
        }
        if (method == null || !Arrays.asList(GET",1)">POST).contains(method)) {
            XxlJobLogger.log(method[" + method +  ReturnT.FAIL;
        }

         request
        HttpURLConnection connection = ;
        BufferedReader bufferedReader =  connection
            URL realUrl =  URL(url);
            connection = (HttpURLConnection) realUrl.openConnection();

             connection setting
            connection.setRequestMethod(method);
            connection.setDoOutput(true);
            connection.setDoInput();
            connection.setUseCaches();
            connection.setReadTimeout(5 * 1000);
            connection.setConnectTimeout(3 * );
            connection.setRequestProperty(connectionKeep-AliveContent-Typeapplication/json;charset=UTF-8Accept-Charset);

             do connection
            connection.connect();

             data
            if (data != null && data.trim().length() > ) {
                DataOutputStream dataOutputStream =  DataOutputStream(connection.getOutputStream());
                dataOutputStream.write(data.getBytes());
                dataOutputStream.flush();
                dataOutputStream.close();
            }

             valid StatusCode
            int statusCode = connection.getResponseCode();
            if (statusCode != 200) {
                throw new RuntimeException(Http Request StatusCode(" + statusCode + ) Invalid.);
            }

             result
            bufferedReader = new InputStreamReader(connection.getInputStream(),1)">));
            StringBuilder result =  StringBuilder();
            String line;
            ) {
                result.append(line);
            }
            String responseMsg = result.toString();

            XxlJobLogger.log(responseMsg);
             ReturnT.SUCCESS;
        }  (Exception e) {
            XxlJobLogger.log(e);
             ReturnT.FAIL;
        }  {
                ) {
                    bufferedReader.close();
                }
                if (connection != ) {
                    connection.disconnect();
                }
            }  (Exception e2) {
                XxlJobLogger.log(e2);
            }
        }

    }

    *
     * 5、生命周期任务示例：任务初始化与销毁时，支持自定义相关逻辑；
     
    @XxlJob(value = demoJobHandler2initdestroy demoJobHandler2(String param) throws Exception {
        XxlJobLogger.log();
         ReturnT.SUCCESS;
    }

     init() {
        logger.info();
    }

     destroy() {
        logger.info(destory);
    }


}

6.增加XxlJobConfig配置类

package com.springcloud.blog.job.execute.core.config;

import com.xxl.job.core.executor.impl.XxlJobSpringExecutor;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration
 XxlJobConfig {
    private Logger logger = LoggerFactory.getLogger(XxlJobConfig.);

    @Value(${xxl.job.admin.addresses}private String adminAddresses;

    @Value(${xxl.job.accessToken} String accessToken;

    @Value(${xxl.job.executor.appname} String appname;

    @Value(${xxl.job.executor.address} String address;

    @Value(${xxl.job.executor.ip} String ip;

    @Value(${xxl.job.executor.port}int port;

    @Value(${xxl.job.executor.logpath} String logPath;

    @Value(${xxl.job.executor.logretentiondays} logRetentionDays;


    @Bean
    public XxlJobSpringExecutor xxlJobExecutor() {
        logger.info(>>>>>>>>>>> xxl-job config init.);
        XxlJobSpringExecutor xxlJobSpringExecutor =  XxlJobSpringExecutor();
        xxlJobSpringExecutor.setAdminAddresses(adminAddresses);
        xxlJobSpringExecutor.setAppname(appname);
        xxlJobSpringExecutor.setAddress(address);
        xxlJobSpringExecutor.setIp(ip);
        xxlJobSpringExecutor.setPort(port);
        xxlJobSpringExecutor.setAccessToken(accessToken);
        xxlJobSpringExecutor.setLogPath(logPath);
        xxlJobSpringExecutor.setLogRetentionDays(logRetentionDays);

         xxlJobSpringExecutor;
    }


}

三、结合Xxl-Job后台系统增加定时任务

1.配置执行器

执行器地址为(与blog-xxl-job中application.yml配置文件里的执行器地址需要保持一致，否则会注册失败，导致任务执行不了:

2.添加任务

3.任务执行成功的标志

四、为什么选择Xxl-Job

当初选择使用Xxl-Job有这么几个原因:
第一、团队里有好几个人上一家公司或上上家公司用过。
第二、这个生态比较丰富且开源。
第三、确实非常容易上手且轻量化(轻量化的一个体现就是非侵入式)

（编辑：李大同）

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