Elastic-Job是一个分布式调度解决方案，由两个相互独立的子项目Elastic-Job-Lite和Elastic-Job-Cloud组成。
Elastic-Job-Lite定位为轻量级无中心化解决方案，使用jar包的形式提供分布式任务的协调服务； --摘自官网
具体的详细介绍，大家可以去官网查阅
这篇文章主要是整合springboot 的简单例子。通过一步一步实现，来逐步的熟悉elastic-job 这个组件,首要条件就是需要你有个运行的zookeeper
搭建springboot项目
这里不在赘述如果搭建,这里我只贴出我的pom文件
4.0.0
org.springframework.boot
spring-boot-starter-parent
2.0.1.RELEASE
com.kevin
es-job
0.0.1-SNAPSHOT
es-job
Demo project for Spring Boot
1.8
2.1.4
org.springframework.boot
spring-boot-starter
org.springframework.boot
spring-boot-starter-test
test
com.dangdang
elastic-job-lite-core
${elastic-job.version}
com.dangdang
elastic-job-lite-spring
${elastic-job.version}
org.springframework.boot
spring-boot-starter-web
org.springframework.boot
spring-boot-starter-actuator
org.springframework.boot
spring-boot-configuration-processor
true
org.springframework.boot
spring-boot-starter-jdbc
mysql
mysql-connector-java
org.springframework.boot
spring-boot-starter-data-jpa
org.springframework.boot
spring-boot-maven-plugin
主要的就是加载这2个依赖
com.dangdang
elastic-job-lite-core
${elastic-job.version}
com.dangdang
elastic-job-lite-spring
${elastic-job.version}
整合elasticjob
1.编写配置application.yml
zookeeper:
address: 192.168.247.7:2181
namespace: elastic-job
connectionTimeout: 10000
sessionTimeout: 10000
maxRetries: 3
# simplejob配置
simpleJob:
cron: 0/5 * * * * ?
shardingTotalCount: 5
shardingItemParameters: 0=java,1=php,2=erlang,3=angular,4=vue
jobParameter: source1=public,source2=private
failover: true
monitorExecution: true
monitorPort: 8889
maxTimeDiffSeconds: -1
jobShardingStrategyClass: com.dangdang.ddframe.job.lite.api.strategy.impl.AverageAllocationJobShardingStrategy
dataflowJob:
cron: 0/10 * * * * ?
shardingTotalCount: 2
shardingItemParameters: 0=jinan,1=qingdao
############################################################
#
# 配置数据源信息
#
############################################################
spring:
datasource: # 数据源的相关配置
type: com.zaxxer.hikari.HikariDataSource # 数据源类型：HikariCP
driver-class-name: com.mysql.jdbc.Driver # mysql驱动
url: jdbc:mysql://localhost:3306/elasticjob?useUnicode=true&characterEncoding=UTF-8&autoReconnect=true&useSSL=false
username: root
password: root
hikari:
connection-timeout: 30000 # 等待连接池分配连接的最大时长（毫秒），超过这个时长还没可用的连接则发生SQLException， 默认:30秒
minimum-idle: 5 # 最小连接数
maximum-pool-size: 20 # 最大连接数
auto-commit: true # 自动提交
idle-timeout: 600000 # 连接超时的最大时长（毫秒），超时则被释放（retired），默认:10分钟
pool-name: DateSourceHikariCP # 连接池名字
max-lifetime: 1800000 # 连接的生命时长（毫秒），超时而且没被使用则被释放（retired），默认:30分钟 1800000ms
connection-test-query: SELECT 1
2.注册中心加载到spring 容器中
/**
* @author: kevin
* @Date: 2020/1/22
*/
@Configuration
@ConditionalOnExpression("'${zookeeper.address}'.length() > 0")
public class RegistryCenterConfig {
/**
* 把注册中心加载到spring 容器中
* @return
*/
@Bean(initMethod = "init")
public ZookeeperRegistryCenter registryCenter(@Value("${zookeeper.address}") final String serverLists,
@Value("${zookeeper.namespace}") final String namespace,
@Value("${zookeeper.connectionTimeout}") final int connectionTimeout,
@Value("${zookeeper.sessionTimeout}") final int sessionTimeout,
@Value("${zookeeper.maxRetries}") final int maxRetries) {
ZookeeperConfiguration zookeeperConfiguration = new ZookeeperConfiguration(serverLists, namespace);
zookeeperConfiguration.setConnectionTimeoutMilliseconds(connectionTimeout);
zookeeperConfiguration.setSessionTimeoutMilliseconds(sessionTimeout);
zookeeperConfiguration.setMaxRetries(maxRetries);
return new ZookeeperRegistryCenter(zookeeperConfiguration);
}
}
3.配置JobEventConfig事件追踪
/**
* @author: kevin
* @Date: 2020/1/22
*/
@Configuration
public class JobEventConfig {
@Autowired
private DataSource dataSource;
@Bean
public JobEventConfiguration jobEventConfiguration() {
return new JobEventRdbConfiguration(dataSource);
}
}
4.编写自己的job并完成配置
4.1 定义自己的job
/**
* @author: kevin
* @Date: 2020/1/22
*/
@Component
public class MySimpleJob implements SimpleJob {
@Override
public void execute(ShardingContext shardingContext) {
System.out.println(shardingContext.getShardingParameter());
}
}
4.2 编写job配置
@Configuration
public class MySimpleJobConfig {
@Autowired
private ZookeeperRegistryCenter registryCenter;
@Autowired
private JobEventConfiguration jobEventConfiguration;
/**
* 具体真正的定时任务执行逻辑
* @return
*/
@Bean
public SimpleJob simpleJob() {
return new MySimpleJob();
}
/**
* @param simpleJob
* @return
*/
@Bean(initMethod = "init")
public JobScheduler simpleJobScheduler(final SimpleJob simpleJob,
@Value("${simpleJob.cron}") final String cron,
@Value("${simpleJob.shardingTotalCount}") final int shardingTotalCount,
@Value("${simpleJob.shardingItemParameters}") final String shardingItemParameters,
@Value("${simpleJob.jobParameter}") final String jobParameter,
@Value("${simpleJob.failover}") final boolean failover,
@Value("${simpleJob.monitorExecution}") final boolean monitorExecution,
@Value("${simpleJob.monitorPort}") final int monitorPort,
@Value("${simpleJob.maxTimeDiffSeconds}") final int maxTimeDiffSeconds,
@Value("${simpleJob.jobShardingStrategyClass}") final String jobShardingStrategyClass) {
return new SpringJobScheduler(simpleJob,
registryCenter,
getLiteJobConfiguration(simpleJob.getClass(),
cron,
shardingTotalCount,
shardingItemParameters,
jobParameter,
failover,
monitorExecution,
monitorPort,
maxTimeDiffSeconds,
jobShardingStrategyClass),
jobEventConfiguration,
new SimpleJobListener());
}
private LiteJobConfiguration getLiteJobConfiguration(Class jobClass, String cron,
int shardingTotalCount, String shardingItemParameters, String jobParameter, boolean failover,
boolean monitorExecution, int monitorPort, int maxTimeDiffSeconds, String jobShardingStrategyClass) {
//定义作业核心配置
JobCoreConfiguration jobCoreConfiguration = JobCoreConfiguration
.newBuilder(jobClass.getName(), cron, shardingTotalCount)
.misfire(true)
.failover(failover)
.jobParameter(jobParameter)
.shardingItemParameters(shardingItemParameters)
.build();
//定义SIMPLE类型配置
SimpleJobConfiguration simpleJobConfiguration = new SimpleJobConfiguration(jobCoreConfiguration, jobClass.getCanonicalName());
//定义Lite作业根配置
LiteJobConfiguration liteJobConfiguration = LiteJobConfiguration.newBuilder(simpleJobConfiguration)
.jobShardingStrategyClass(jobShardingStrategyClass)
.monitorExecution(monitorExecution)
.monitorPort(monitorPort)
.maxTimeDiffSeconds(maxTimeDiffSeconds)
.overwrite(true)
.build();
return liteJobConfiguration;
}
运行
这里直接启动后，可以看到控制台打印
java
php
erlang
angular
vue
运维平台
elastic-job也提供运维平台，大家可以去官网下载源码，然后本地install下。找到elastic-job-lite-console-3.0.0.M1-SNAPSHOT.tar 解压后，直接运行bin下面的运行文件
如图所示，添加自己的配置
