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elastic-job 分布式定时任务框架 在 SpringBoot 中如何使用(一)初始化任务并定时执行...

2020-01-13 05:53 801 查看

第一篇需要实现一个最简单的需求:某个任务定时执行,多台机子只让其中一台机子执行任务

 

一、安装 分布式应用程序协调服务 zookeeper,安装步骤在链接里面

  Linux(Centos7)下安装 zookeeper docker版 集群 

 

二、在springboot项目中引入 elastic-job 依赖,我这里用的 springboot 2.0.5 版本

整合代码参考官方的springboot demo 

https://github.com/elasticjob/elastic-job-example

 

 对应的  elastic-job 版本

<elastic-job.version>2.1.5</elastic-job.version>

<!-- apache elastic-job start -->
<dependency>
<groupId>com.dangdang</groupId>
<artifactId>elastic-job-lite-core</artifactId>
<version>${elastic-job.version}</version>
</dependency>
<dependency>
<groupId>com.dangdang</groupId>
<artifactId>elastic-job-lite-spring</artifactId>
<version>${elastic-job.version}</version>
</dependency>
<!-- apache elastic-job end -->
依赖XML代码

 

application.yaml 加入配置

regCenter:
serverList: localhost:2181
namespace: my-project

simpleJob:
cron: 0/15 * * * * ?
shardingTotalCount: 1
shardingItemParameters: 0=a

dataflowJob:
cron: 0/5 * * * * ?
shardingTotalCount: 3
shardingItemParameters: 0=Beijing,1=Shanghai,2=Guangzhou
application.yaml 配置代码

 

三、作业代码(simpleJob类型的任务),把官方的demo拿到自己的项目中来就行,注意添加一个@Component注解在类上

 

/*
* Copyright 1999-2015 dangdang.com.
* <p>
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
*     http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* </p>
*/

package com.dianji.task_server.job.exec;

import com.dangdang.ddframe.job.api.ShardingContext;
import com.dangdang.ddframe.job.api.simple.SimpleJob;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Component;

import java.text.MessageFormat;
import java.text.SimpleDateFormat;
import java.util.Date;

@Slf4j
@Component
public class SpringSimpleJob implements SimpleJob {
@Value("${flag}")
private String serverFlag;

@Override
public void execute(final ShardingContext shardingContext) {
int shardingItem = shardingContext.getShardingItem();
if (shardingItem == 0) {
log.info("这是来自『{}』的任务,SIMPLE「SpringSimpleJob_execute」", serverFlag + ":" +
shardingContext.getShardingParameter());
String logStr = "Item: {0} | Parameter: {1} | : {2} | Time: {3} | Thread: {4} | {5}";
logStr = MessageFormat.format(logStr, shardingContext.getShardingItem(),
shardingContext.getShardingParameter(),
new SimpleDateFormat("HH:mm:ss").format(new Date()),
Thread.currentThread().getId(), "SIMPLE「SpringSimpleJob_execute」");
log.info(logStr);
} else if (shardingItem == 1) {
log.info("这是来自『{}』的任务", serverFlag + ":" + shardingContext.getShardingParameter());
} else if (shardingItem == 2) {
log.info("这是来自『{}』的任务", shardingContext.getShardingParameter());
}
}
}
作业任务代码

 

四、配置作业(直接将官方的配置代码拿进自己的项目中)

/*
* Copyright 1999-2015 dangdang.com.
* <p>
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
*     http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* </p>
*/

package com.dianji.task_server.job.config;

import com.dangdang.ddframe.job.api.simple.SimpleJob;
import com.dangdang.ddframe.job.config.JobCoreConfiguration;
import com.dangdang.ddframe.job.config.simple.SimpleJobConfiguration;
import com.dangdang.ddframe.job.event.JobEventConfiguration;
import com.dangdang.ddframe.job.lite.api.JobScheduler;
import com.dangdang.ddframe.job.lite.config.LiteJobConfiguration;
import com.dangdang.ddframe.job.lite.spring.api.SpringJobScheduler;
import com.dangdang.ddframe.job.reg.zookeeper.ZookeeperRegistryCenter;
import com.dianji.task_server.job.exec.SpringSimpleJob;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

import javax.annotation.Resource;

@Configuration
public class SimpleJobConfig {

@Resource
private ZookeeperRegistryCenter regCenter;

@Resource
private JobEventConfiguration jobEventConfiguration;

@Bean
public SimpleJob simpleJob() {
return new SpringSimpleJob();
}

@Bean(initMethod = "init")
public JobScheduler simpleJobScheduler(final SimpleJob simpleJob, @Value("${simpleJob.cron}") final String cron, @Value("${simpleJob.shardingTotalCount}") final int shardingTotalCount,
@Value("${simpleJob.shardingItemParameters}") final String shardingItemParameters) {
return new SpringJobScheduler(simpleJob, regCenter, getLiteJobConfiguration(simpleJob.getClass(), cron, shardingTotalCount, shardingItemParameters), jobEventConfiguration);
}

private LiteJobConfiguration getLiteJobConfiguration(final Class<? extends SimpleJob> jobClass, final String cron, final int shardingTotalCount, final String shardingItemParameters) {
return LiteJobConfiguration.newBuilder(new SimpleJobConfiguration(JobCoreConfiguration.newBuilder(
jobClass.getName(), cron, shardingTotalCount).shardingItemParameters(shardingItemParameters).build(), jobClass.getCanonicalName())).overwrite(true).build();
}
}
作业配置代码

 

五、最简单的整合步骤就完成了,启动应用(分别启动三个进程),看见任务开始执行了

最简单的任务需求得到了满足,定时执行,多台机子只让其中一台机子执行任务

 

 

关于分片的数量设置,实际操作了一把

 

假如:有3个进程实例 并且elastic-job 设置  

分片 1 时:3个进程只有1一个进程执行1次任务,共执行1次任务

分片 2 时:3个进程中的2个进程一共执行2次任务,共执行2次任务

分片 3 时:3个进程每个执行1次任务,共执行3次任务

分片 4 时:3个进程同时一共执行4次任务,共执行4次任务

分片 5 时:3个进程同时一共执行5次任务,共执行5次任务

  分片为X时,此任务同时在Y台个进程里面执行X次。   这样就可以根据不同的使用场景配置不同的分片数量了  

转载于:https://www.cnblogs.com/liugx/p/9845263.html

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