工具篇--分布式定时任务springBoot 整合 elasticjob使用（3）

文章目录

前言
一、Springboot 整合：
二、扩展：
总结

前言

本文对springBoot 整合 elasticjob 进行介绍。本文环境 jdk:1.8 ; zookeeper : 3.7

一、Springboot 整合：

1.1 引入jar：


 <dependency>
     <groupId>org.apache.shardingsphere.elasticjobgroupId>
     <artifactId>elasticjob-lite-coreartifactId>
    
     <version>3.0.1version>
 dependency>
 <dependency>
     <groupId>org.yamlgroupId>
     <artifactId>snakeyamlartifactId>
     <version>1.27version>
 dependency>
 <dependency>
     <groupId>ch.qos.logbackgroupId>
     <artifactId>logback-classicartifactId>
     <version>1.2.12version>
 dependency>
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1.2 配置zookeeper 注册中心：

ElasticJobZookeeper：

import org.apache.shardingsphere.elasticjob.reg.base.CoordinatorRegistryCenter;
import org.apache.shardingsphere.elasticjob.reg.zookeeper.ZookeeperConfiguration;
import org.apache.shardingsphere.elasticjob.reg.zookeeper.ZookeeperRegistryCenter;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration
public class ElasticJobZookeeper {


    @Bean(initMethod = "init")
    public  CoordinatorRegistryCenter createRegistryCenter() {
        ZookeeperConfiguration zookeeperConfiguration = new ZookeeperConfiguration("localhost:2181", "elastic-job");
        zookeeperConfiguration.setConnectionTimeoutMilliseconds(10000);
        zookeeperConfiguration.setSessionTimeoutMilliseconds(10000);
        zookeeperConfiguration.setMaxSleepTimeMilliseconds(10000);

        CoordinatorRegistryCenter regCenter = new ZookeeperRegistryCenter(zookeeperConfiguration);
        return regCenter;
    }
}

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1.3 定义job 业务类：

MyJob：

import lombok.extern.slf4j.Slf4j;
import org.apache.shardingsphere.elasticjob.api.ShardingContext;
import org.apache.shardingsphere.elasticjob.simple.job.SimpleJob;
import org.springframework.stereotype.Component;


@Slf4j
@Component
public class MyJob implements SimpleJob {
    @Override
    public void execute(ShardingContext shardingContext) {

        // 分片参数 0=text,1=image,2=radio,3=vedio
        String  shardingParameter= shardingContext.getShardingParameter();
        String  jobParameter= shardingContext.getJobParameter();

        log.debug("job 执行 error,job名称：{},分片数量:{},分片：{},分片参数:{},jobParamer:{}", shardingContext.getJobName(), shardingContext.getShardingTotalCount(),
                shardingContext.getShardingItem(), shardingParameter,jobParameter);
        if ("text".equals(jobParameter)) {
            // do something by sharding
        }
        switch (shardingContext.getShardingItem()) {
            case 0:
                // do something by sharding item 0
                break;
            case 1:
                // do something by sharding item 1
                break;
            case 2:
                // do something by sharding item 2
                break;
            // case n: ...
        }
    }
}

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MyJob1：

import lombok.extern.slf4j.Slf4j;
import org.apache.shardingsphere.elasticjob.api.ShardingContext;
import org.apache.shardingsphere.elasticjob.simple.job.SimpleJob;
import org.springframework.stereotype.Component;


@Slf4j
@Component
public class MyJob1 implements SimpleJob {
    @Override
    public void execute(ShardingContext shardingContext) {
        log.debug("job 执行 error,job名称：{},分片数量:{}",shardingContext.getJobName(),shardingContext.getShardingTotalCount());
        switch (shardingContext.getShardingItem()) {
            case 0:
                // do something by sharding item 0
                break;
            case 1:
                // do something by sharding item 1
                break;
            case 2:
                // do something by sharding item 2
                break;
            // case n: ...
        }
    }
}

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1.4 job 注册到zookeeper：

ElasticJobConfigure

import com.example.springelasticjob.quickstart.MyJob;
import com.example.springelasticjob.quickstart.MyJob1;
import org.apache.shardingsphere.elasticjob.api.JobConfiguration;
import org.apache.shardingsphere.elasticjob.lite.api.bootstrap.impl.ScheduleJobBootstrap;
import org.apache.shardingsphere.elasticjob.reg.base.CoordinatorRegistryCenter;
import org.apache.shardingsphere.elasticjob.simple.job.SimpleJob;
import org.springframework.beans.factory.InitializingBean;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Configuration;

@Configuration
public class ElasticJobConfigure implements InitializingBean {
    @Autowired
    private MyJob myJob;

    @Autowired
    private MyJob1 myJob1;
    @Autowired
    private CoordinatorRegistryCenter coordinatorRegistryCenter;


    public JobConfiguration createJobConfiguration(Class<? extends SimpleJob> JobClass, int shardingTotalCount, String cron, String shardingItemParameters) {
        // 创建作业配置
        JobConfiguration jobConfiguration = JobConfiguration.newBuilder(JobClass.getName(), shardingTotalCount).cron(cron).overwrite(true)
                .shardingItemParameters(shardingItemParameters).jobListenerTypes().build();


        return jobConfiguration;

    }

    @Override
    public void afterPropertiesSet() throws Exception {
        JobConfiguration jobConfiguration = createJobConfiguration(myJob.getClass(), 1, "0/10 * * * * ?", null);
        new ScheduleJobBootstrap(coordinatorRegistryCenter, myJob, jobConfiguration).schedule();
        JobConfiguration jobConfiguration1 = createJobConfiguration(myJob1.getClass(), 1, "0/1 * * * * ?", null);
        new ScheduleJobBootstrap(coordinatorRegistryCenter, myJob1, jobConfiguration1).schedule();
    }
}

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1.5 项目启动：

1.5.1 zookeeper 注册中心实例：

在这里插入图片描述

1.5.2 任务执行日志输出：

在这里插入图片描述

二、扩展：

2.1 任务监听器：

定义监听器：

import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang.time.DateFormatUtils;
import org.apache.shardingsphere.elasticjob.infra.listener.ElasticJobListener;
import org.apache.shardingsphere.elasticjob.infra.listener.ShardingContexts;

import java.util.Date;

@Slf4j
public class MyElasticJobListener implements ElasticJobListener {

    private long beginTime = 0;

    @Override
    public void beforeJobExecuted(ShardingContexts shardingContexts) {
        beginTime = System.currentTimeMillis();
        log.info("===>{} MyElasticJobListener BEGIN TIME: {} <===",shardingContexts.getJobName(),  DateFormatUtils.format(new Date(), "yyyy-MM-dd HH:mm:ss"));
    }

    @Override
    public void afterJobExecuted(ShardingContexts shardingContexts) {
        long endTime = System.currentTimeMillis();
        log.info("===>{} MyElasticJobListener END TIME: {},TOTAL CAST: {} <===",shardingContexts.getJobName(), DateFormatUtils.format(new Date(), "yyyy-MM-dd HH:mm:ss"), endTime - beginTime);
    }

    @Override
    public String getType() {
        return "myElasticJobListener";
    }


}

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2）在项目resources 新建文件夹： META-INF\services
在这里插入图片描述
3）新建文件，名称为：org.apache.shardingsphere.elasticjob.infra.listener.ElasticJobListener
文集内容：

# 监听器实现类的 类全路径
com.example.springelasticjob.config.MyElasticJobListener
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4）job 配置增加监听器：

// 创建作业配置
        JobConfiguration jobConfiguration = JobConfiguration.newBuilder("myjob-param", 1).cron("0/5 * * * * ?")
                .overwrite(true).shardingItemParameters("0=Beijing,1=Shanghai,2=Guangzhou").jobParameter("0=a,1=b,2=c")
                .jobListenerTypes("myElasticJobListener")
                .build();

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jobListenerTypes(“myElasticJobListener”) 中 “myElasticJobListener” 要和 MyElasticJobListener getType() 返回的保持一致，否则启动无法找到监听器：
在这里插入图片描述

2. 2 DataflowJob 流工作：

2.2.1 新建 DataflowJob：


import lombok.extern.slf4j.Slf4j;
import org.apache.shardingsphere.elasticjob.api.ShardingContext;
import org.apache.shardingsphere.elasticjob.dataflow.job.DataflowJob;

import java.util.ArrayList;
import java.util.List;

/**
 * 流任务
 */
@Slf4j
public class MyDataFlowJob implements DataflowJob {
    @Override
    public List fetchData(ShardingContext shardingContext) {
        // 抓取数据
        // 分片参数 0=text,1=image,2=radio,3=vedio
        String jobParameter = shardingContext.getJobParameter();

        log.debug("job 执行 error,job名称：{},分片数量:{},分片：{},分片参数:{}", shardingContext.getJobName(), shardingContext.getShardingTotalCount(), shardingContext.getShardingItem(), jobParameter);
        List list = new ArrayList(1);
        list.add("lgx");
        return list;
    }

    @Override
    public void processData(ShardingContext shardingContext, List list) {
        // 数据处理
        System.out.println("list.toString() = " + list.toString());
    }
}

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2.2.2 streaming.process 属性配置：

 private static JobConfiguration createJobConfiguration() {
        JobConfiguration jobConfiguration = JobConfiguration.newBuilder("myjob-dataflow-param", 1).cron("0/30 * * * * ?")
            
                .overwrite(true).shardingItemParameters("0=Beijing,1=Shanghai,2=Guangzhou").jobParameter("0=a,1=b,2=c")
              	//  streaming.process 流处理设置为true
                .setProperty("streaming.process","true")
                .build();


        return jobConfiguration;

    }
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2.2.3 执行效果：

虽然任务是每隔30s 执行一次，但是因为 fetchData 可以一直获取到数据，使的 processData 方法可以一直被调用：
在这里插入图片描述

总结

本文对 springBoot 整合 elasticjob 整合，监听器的使用，任务的流式处理做介绍。

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原文地址：https://blog.csdn.net/l123lgx/article/details/136633232