POM文件配置
4.0.0
com.example
demojob
0.0.1-SNAPSHOT
jar
demojob
Demo project for Spring Boot
org.springframework.boot
spring-boot-starter-parent
2.0.2.RELEASE
UTF-8
UTF-8
1.8
org.springframework.boot
spring-boot-starter-web
org.springframework.boot
spring-boot-starter-test
test
elastic-job-common-core
com.dangdang
2.1.5
elastic-job-lite-core
com.dangdang
2.1.5
elastic-job-lite-spring
com.dangdang
2.1.5
elastic-job-cloud-executor
com.dangdang
2.1.5
org.mariadb.jdbc
mariadb-java-client
1.5.4
com.alibaba
druid-spring-boot-starter
1.1.9
com.baomidou
mybatisplus-spring-boot-starter
1.0.5
com.baomidou
mybatis-plus
2.1.9
org.springframework.boot
spring-boot-maven-plugin
yaml文件配置(也可以用application.properties一样的)
# 配置配置数据源
spring:
datasource:
type: com.alibaba.druid.pool.DruidDataSource
driver-class-name: org.mariadb.jdbc.Driver
name: elastic-job-event
url: jdbc:mariadb://127.0.0.1:3306/elasticjob
username: root
password: 123456
druid:
validationQuery: SELECT 1
initialSize: 10
minIdle: 10
maxActive: 200
minEvictableIdleTimeMillis: 180000
testOnBorrow: false
testWhileIdle: true
removeAbandoned: true
removeAbandonedTimeout: 1800
logAbandoned: true
poolPreparedStatements: true
maxOpenPreparedStatements: 100
# 配置Zookeeper
regCenter:
serverList: localhost:2181
namespace: hulk_order_task
# 配置定时器规则
simpleJob:
cron: 0/5 * * * * ?
shardingTotalCount: 1
shardingItemParameters: 0=1
开始写代码
RegistryCenterConfig
package com.example.demojob.config;
import com.dangdang.ddframe.job.reg.zookeeper.ZookeeperConfiguration;
import com.dangdang.ddframe.job.reg.zookeeper.ZookeeperRegistryCenter;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.autoconfigure.condition.ConditionalOnExpression;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
/**
* 注册中心配置
* 用于注册和协调作业分布式行为的组件,目前仅支持Zookeeper。
* @author shudalei
*/
@Configuration
@ConditionalOnExpression("'${regCenter.serverList}'.length() > 0")
public class RegistryCenterConfig {
@Bean(initMethod = "init")
public ZookeeperRegistryCenter regCenter(@Value("${regCenter.serverList}") final String serverList,
@Value("${regCenter.namespace}") final String namespace) {
return new ZookeeperRegistryCenter(new ZookeeperConfiguration(serverList, namespace));
}
}
JobEventConfig
package com.example.demojob.config;
import com.dangdang.ddframe.job.event.JobEventConfiguration;
import com.dangdang.ddframe.job.event.rdb.JobEventRdbConfiguration;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import javax.annotation.Resource;
import javax.sql.DataSource;
/**
* 如果想把作业运行的内容写到DB中,我们需要用到另一个构造器,
* 同时定义自己的JobEventConfiguration,
* 目前来说实现这个接口的只有一个类JobEventRdbConfiguration,
* 通过这个可以将作业运行的痕迹进行持久化到DB的操作。
* @author shudalei
*/
@Configuration
public class JobEventConfig {
@Resource
private DataSource dataSource;
@Bean
public JobEventConfiguration jobEventConfiguration() {
return new JobEventRdbConfiguration(dataSource);
}
}
SimpleJobConfig
package com.example.demojob.config;
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.example.demojob.job.TestSimpleJob;
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 {
/**
* 注册中心
*/
@Resource
private ZookeeperRegistryCenter regCenter;
/**
* job事件配置
*/
@Resource
private JobEventConfiguration jobEventConfiguration;
/**
* 微信access token获取任务对象
*
*/
@Resource
private TestSimpleJob simpleJob;
/**
*
* @param cron 定时任务cron配置
* @param shardingTotalCount 任务分片数
* @param shardingItemParameters 任务分片参数
* @return JobScheduler 任务调度器
*/
@Bean(initMethod = "init")
public JobScheduler simpleJobScheduler(@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);
}
/**
*
* @param jobClass 任务调度类
* @param cron 定时任务cron配置
* @param shardingTotalCount 任务分片数
* @param shardingItemParameters 任务分片参数
* @return LiteJobConfiguration 任务配置
*/
private LiteJobConfiguration getLiteJobConfiguration(final Class extends com.dangdang.ddframe.job.api.simple.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();
}
}
TestSimpleJob,定时器任务本身
package com.example.demojob.job;
import com.dangdang.ddframe.job.api.ShardingContext;
import com.dangdang.ddframe.job.api.simple.SimpleJob;
import org.springframework.stereotype.Component;
@Component
public class TestSimpleJob implements SimpleJob {
private int count;
//任务就是每5秒执行一次控制台输出1,2,3……
@Override
public void execute(ShardingContext shardingContext) {
count++;
System.out.println("task " + count);
}
}
最后在Docker下安装 Zookeeper
安装脚本compose文件如下
version: '2'
services:
zookeeper01:
image: zookeeper
restart: always
hostname: zookeeper01
ports:
- 2181:2181
environment:
ZOO_MY_ID: 1
ZOO_SERVERS: server.1=0.0.0.0:2888:3888 server.2=zookeeper02:2888:3888 server.3=zookeeper03:2888:3888
zookeeper02:
image: zookeeper
restart: always
hostname: zookeeper02
ports:
- 2182:2181
environment:
ZOO_MY_ID: 2
ZOO_SERVERS: server.1=zookeeper01:2888:3888 server.2=0.0.0.0:2888:3888 server.3=zookeeper03:2888:3888
zookeeper03:
image: zookeeper
restart: always
hostname: zookeeper03
ports:
- 2183:2181
environment:
ZOO_MY_ID: 3
ZOO_SERVERS: server.1=zookeeper01:2888:3888 server.2=zookeeper02:2888:3888 server.3=0.0.0.0:2888:3888