本文介绍: 基于集成方式的而产出的工程代码,完成对作业分片实现文件数据备份采取更接近真实项目的数 据库存方式。1.分片设置2.每个线程获取给自的类型

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,完成对作业分片实现文件数据备份采取更接近真实项目的数 据库存方式

2.每个线程获取给自的类型

1.2 作业配置

zk的配置 

 

操作说明

2.1 数据表初始化

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文件编写

   <dependency>
            <groupId>org.springframework.boot</groupId>
            &lt;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

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 启动4个

2.执行情况

3.2  案例场景分析

1.设置4个分片,10秒执行一次

分片弹性扩容缩容机制测试

测试1:测试窗口1不关闭,再次运行main方法查看控制台日志,注意修改application.properties中的 server.port,保证端口冲突

测试2:测试窗口1 和测试窗口2 不关闭,再次运行2次main方法,达到4个任务实例查看控制日志

 测试3:测试窗口1 和测试窗口2 不关闭,将测试窗口3和测试窗口4任务停止

测试4:测试窗口1不关闭 将测试窗口2 任务停止

结论:

1、任务运行期间,如果有新机器加入,则会立刻触发分片机制,将任务相对 平均分配每台机器并行执行调度

2、如果有机器退出集群,则经过短暂的一段时间(大约40秒)后又会重 新触发分片机制

原文地址:https://blog.csdn.net/u011066470/article/details/134631111

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