elastic -job和springboot集成实现分布式调度5

健康平安的活着2023-11-26 21:22

一 案例介绍说明

1.1 案例介绍

基于 Spring boot 集成方式的而产出的工程代码，完成对作业分片的实现，文件数据备份采取更接近真实项目的数 据库存取方式。
1.分片设置

2.每个线程获取给自的类型

二 操作说明

2.1 数据表的初始化

DROP TABLE IF EXISTS `t_file`;
CREATE TABLE `t_file` (
`id` varchar(11) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`name` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
`type` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
`content` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
`backedUp` tinyint(1) NULL DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;

如图所示：

2.2 初始化数据

2.3 pom文件的编写

   <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-jdbc</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
        </dependency>
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>5.1.47</version>
        </dependency>

        <dependency>
            <groupId>com.dangdang</groupId>
            <artifactId>elastic-job-lite-spring</artifactId>
            <version>2.1.5</version>
        </dependency>


        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
        </dependency>

2.4 编写注册配置类

1.截图如下

2.代码

package com.itheima.scheduler.elasticjob.springboot.config;

import com.dangdang.ddframe.job.api.ElasticJob;
import com.dangdang.ddframe.job.api.simple.SimpleJob;
import com.dangdang.ddframe.job.config.JobCoreConfiguration;
import com.dangdang.ddframe.job.config.dataflow.DataflowJobConfiguration;
import com.dangdang.ddframe.job.config.simple.SimpleJobConfiguration;
import com.dangdang.ddframe.job.event.JobEventConfiguration;
import com.dangdang.ddframe.job.event.rdb.JobEventRdbConfiguration;
import com.dangdang.ddframe.job.lite.config.LiteJobConfiguration;
import com.dangdang.ddframe.job.lite.spring.api.SpringJobScheduler;
import com.dangdang.ddframe.job.reg.base.CoordinatorRegistryCenter;
import com.itheima.scheduler.elasticjob.springboot.job.FileBackupJobDb;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.util.StringUtils;

import javax.sql.DataSource;

/**
 * @author Administrator
 * @version 1.0
 **/
@Configuration
public class ElasticJobConfig {

    @Autowired
    private DataSource dataSource; //数据源已经存在，直接引入

//    @Autowired
//    SimpleJob fileBackupJob;

    @Autowired
    FileBackupJobDb fileBackupJob;

//    @Autowired
//    FileBackupJobDataFlow fileBackupJob;

    @Autowired
    CoordinatorRegistryCenter registryCenter;

    /**
     * 配置任务详细信息
     * @param jobClass 任务执行类
     * @param cron  执行策略
     * @param shardingTotalCount 分片数量
     * @param shardingItemParameters 分片个性化参数
     * @return
     */
    private LiteJobConfiguration createJobConfiguration(final Class<? extends SimpleJob> jobClass,
                                                        final String cron,
                                                        final int shardingTotalCount,
                                                        final String shardingItemParameters){
        //JobCoreConfigurationBuilder
        JobCoreConfiguration.Builder JobCoreConfigurationBuilder = JobCoreConfiguration.newBuilder(jobClass.getName(), cron, shardingTotalCount);
        //设置shardingItemParameters
        if(!StringUtils.isEmpty(shardingItemParameters)){
            JobCoreConfigurationBuilder.shardingItemParameters(shardingItemParameters);
        }
        JobCoreConfiguration jobCoreConfiguration = JobCoreConfigurationBuilder.build();
        //创建SimpleJobConfiguration
        SimpleJobConfiguration simpleJobConfiguration = new SimpleJobConfiguration(jobCoreConfiguration, jobClass.getCanonicalName());
        //创建LiteJobConfiguration
        LiteJobConfiguration liteJobConfiguration = LiteJobConfiguration.newBuilder(simpleJobConfiguration).overwrite(true)
                .monitorPort(9888)//设置dump端口
                .build();
        return liteJobConfiguration;
    }

    //创建支持dataFlow类型的作业的配置信息
    private LiteJobConfiguration createFlowJobConfiguration(final Class<? extends ElasticJob> jobClass,
                                                        final String cron,
                                                        final int shardingTotalCount,
                                                        final String shardingItemParameters){
        //JobCoreConfigurationBuilder
        JobCoreConfiguration.Builder JobCoreConfigurationBuilder = JobCoreConfiguration.newBuilder(jobClass.getName(), cron, shardingTotalCount);
        //设置shardingItemParameters
        if(!StringUtils.isEmpty(shardingItemParameters)){
            JobCoreConfigurationBuilder.shardingItemParameters(shardingItemParameters);
        }
        JobCoreConfiguration jobCoreConfiguration = JobCoreConfigurationBuilder.build();
        // 定义数据流类型任务配置
        DataflowJobConfiguration jobConfig = new DataflowJobConfiguration(jobCoreConfiguration, jobClass.getCanonicalName(),true);
        //创建LiteJobConfiguration
        LiteJobConfiguration liteJobConfiguration = LiteJobConfiguration.newBuilder(jobConfig).overwrite(true)
                .monitorPort(9888)//设置dump端口
                .build();
        return liteJobConfiguration;
    }
    @Bean(initMethod = "init")
    public SpringJobScheduler initSimpleElasticJob() {
        // 增加任务事件追踪配置
        JobEventConfiguration jobEventConfig = new JobEventRdbConfiguration(dataSource);
        //创建SpringJobScheduler

        SpringJobScheduler springJobScheduler = new SpringJobScheduler(fileBackupJob, registryCenter,
                createJobConfiguration(fileBackupJob.getClass(), "0/10 * * * * ?", 4, "0=text,1=image,2=radio,3=vedio")
                ,jobEventConfig);
        return springJobScheduler;
    }
}

3.代码

package com.itheima.scheduler.elasticjob.springboot.config;

import com.dangdang.ddframe.job.reg.base.CoordinatorRegistryCenter;
import com.dangdang.ddframe.job.reg.zookeeper.ZookeeperConfiguration;
import com.dangdang.ddframe.job.reg.zookeeper.ZookeeperRegistryCenter;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

/**
 * @author Administrator
 * @version 1.0
 **/
@Configuration
public class ElasticJobRegistryCenterConfig {

    //zookeeper链接字符串 localhost:2181
    private  String ZOOKEEPER_CONNECTION_STRING = "localhost:2181" ;
    //定时任务命名空间
    private  String JOB_NAMESPACE = "elastic-job-example-java";

    //zk的配置及创建注册中心
    @Bean(initMethod = "init")
    public  CoordinatorRegistryCenter setUpRegistryCenter(){
        //zk的配置
        ZookeeperConfiguration zookeeperConfiguration = new ZookeeperConfiguration(ZOOKEEPER_CONNECTION_STRING, JOB_NAMESPACE);

        //创建注册中心
        CoordinatorRegistryCenter zookeeperRegistryCenter = new ZookeeperRegistryCenter(zookeeperConfiguration);
        return zookeeperRegistryCenter;

    }
}

2.5 启动类

2.6 配置连接

2.7 启动zk

2.8 测试

1.启动application服务，查看打印log：

三 多实例测试

3.1

相关推荐
打野二师兄1 年前
2、分布式调用之 quartz Java 编程
java·开发语言·分布式·quartz·分布式调度
热门推荐
01〔AI 绘画〕Stable Diffusion 之 解决绘制多人或面部很小的人物时面部崩坏问题 篇02YOLOv8训练好模型后，追加轮数继续训练、或者提前终止训练，缩减训练轮数03玄机平台应急响应—webshell查杀04DisplayPort AltMode On Type-c协议_Ver2.0(学习笔记)05HCIA-datacom数通题库和录播视频资料06Docker 夺命连环 15 问076个主流的工业3D管道设计软件08校验 GPT-4 真实性的三个经典问题：快速区分 GPT-3.5 与 GPT-4，并提供免费测试网站09(欧拉)openEuler系统添加网卡文件配置流程、(欧拉)openEuler系统手动配置ipv6地址流程、(欧拉)openEuler系统网络管理说明10树莓派 5 AI 套件（Hailo-8L）使用教程