Quartz入门实例12-Spring4和quartz2的集群

使用spring4.0.6 和 quartz 2.2.1 整合进行集群

pom.xml:

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"><modelVersion>4.0.0</modelVersion><groupId>cn.zto.quartz</groupId><artifactId>quartzClumped</artifactId><version>0.0.1-SNAPSHOT</version><packaging>jar</packaging><name>quartzClumped</name><url>http://maven.apache.org</url><properties><project.build.sourceEncoding>UTF-8</project.build.sourceEncoding></properties><dependencies><dependency><groupId>com.alibaba</groupId><artifactId>druid</artifactId><version>1.0.5</version></dependency><dependency><groupId>org.springframework</groupId><artifactId>spring-context</artifactId><version>4.0.6.RELEASE</version></dependency><dependency><groupId>org.quartz-scheduler</groupId><artifactId>quartz</artifactId><version>2.2.1</version></dependency><dependency><groupId>org.quartz-scheduler</groupId><artifactId>quartz-jobs</artifactId><version>2.2.1</version></dependency><dependency><groupId>junit</groupId><artifactId>junit</artifactId><version>4.11</version><scope>test</scope></dependency><dependency><groupId>org.springframework</groupId><artifactId>spring-context-support</artifactId><version>4.0.6.RELEASE</version></dependency><dependency><groupId>org.springframework</groupId><artifactId>spring-jdbc</artifactId><version>4.0.6.RELEASE</version></dependency><dependency><groupId>org.springframework</groupId><artifactId>spring-tx</artifactId><version>4.0.6.RELEASE</version></dependency><dependency><groupId>org.springframework</groupId><artifactId>spring-test</artifactId><version>4.0.6.RELEASE</version></dependency><dependency><groupId>org.apache.tomcat</groupId><artifactId>annotations-api</artifactId><version>6.0.41</version></dependency><dependency><groupId>mysql</groupId><artifactId>mysql-connector-java</artifactId><version>5.1.30</version></dependency></dependencies></project>

quartz的集群需要在quartz.properties中配置

    ·org.quartz.jobStore.isClustered

    ·org.quartz.jobStore.clusterChedkinInterval

通过设置 org.quartz.jobStore.isClustered 属性为 true，你就告诉了 Scheduler 实例要它参与到一个集群当中。这一属性会贯穿于调度框架的始终，用于修改集群环境中操作的默认行为。
org.quartz.jobStore.clusterCheckinInterval 属性定义了Scheduler 实例检入到数据库中的频率(毫秒为单位)。Scheduler 检查是否其他的实例到了它们应当检入的时候未检入；这能指出一个失败的 Scheduler 实例，且当前 Scheduler 会以此来接管任何执行失败并可恢复的 Job。通过检入操作，Scheduler 也会更新自身的状态记录。

clusterChedkinInterval 越小，Scheduler 节点检查失败的 Scheduler 实例就越频繁。默认值是15000 (即15 秒)。

在以前的版本Quartz集群只能依赖于数据库来实现 新版本的 Quartz还可以通过Terracotta实现集群

quartz.properties：

#==============================================================  #Configure Main Scheduler Properties  #==============================================================   org.quartz.scheduler.instanceName = TestScheduler1org.quartz.scheduler.instanceId = AUTO#==============================================================  #Configure ThreadPool  #==============================================================   org.quartz.threadPool.class = org.quartz.simpl.SimpleThreadPoolorg.quartz.threadPool.threadCount = 5org.quartz.threadPool.threadPriority = 5#==============================================================  #Configure JobStore  #==============================================================   org.quartz.jobStore.misfireThreshold = 60000org.quartz.jobStore.class = org.quartz.impl.jdbcjobstore.JobStoreTXorg.quartz.jobStore.tablePrefix = QRTZ_org.quartz.jobStore.dataSource = myDS  org.quartz.jobStore.isClustered = trueorg.quartz.jobStore.clusterCheckinInterval = 15000#==============================================================  #Non-Managed Configure Datasource  #==============================================================   

applicationContext.xml：

<?xml version="1.0" encoding="UTF-8" ?><beans xmlns="http://www.springframework.org/schema/beans"xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:p="http://www.springframework.org/schema/p"xmlns:tx="http://www.springframework.org/schema/tx" xmlns:aop="http://www.springframework.org/schema/aop"xmlns:context="http://www.springframework.org/schema/context"xmlns:task="http://www.springframework.org/schema/task"xsi:schemaLocation="            http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-4.0.xsd            http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop-4.0.xsd            http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-4.0.xsdhttp://www.springframework.org/schema/context           http://www.springframework.org/schema/context/spring-context-4.0.xsd           http://www.springframework.org/schema/taskhttp://www.springframework.org/schema/task/spring-task-4.0.xsd"><context:annotation-config /><bean id="DataSource" class="com.alibaba.druid.pool.DruidDataSource" init-method="init" destroy-method="close"><property name="driverClassName" value="com.mysql.jdbc.Driver" /><property name="url" value="jdbc:mysql:///quartz" /><property name="username" value="root" /><property name="password" value="123456" /><!-- 连接池最大使用连接数量 --><property name="maxActive" value="5" /><!-- 初始化大小 --><property name="initialSize" value="1" /><!-- 获取连接最大等待时间 --><property name="maxWait" value="60000" /><!-- 连接池最小空闲 --><property name="minIdle" value="2" /><!-- 逐出连接的检测时间间隔 --><property name="timeBetweenEvictionRunsMillis" value="3000" /><!-- 最小逐出时间 --><property name="minEvictableIdleTimeMillis" value="300000" /><!-- 测试有效用的SQL Query --><property name="validationQuery" value="SELECT 'x'" /><!-- 连接空闲时测试是否有效 --><property name="testWhileIdle" value="true" /><!-- 获取连接时测试是否有效 --><property name="testOnBorrow" value="false" /><!-- 归还连接时是否测试有效 --><property name="testOnReturn" value="false" /></bean><!-- 声明工厂 --><bean id="scheduler" autowire="no" class="org.springframework.scheduling.quartz.SchedulerFactoryBean"><property name="schedulerName" value="TestScheduler1"/><property name="dataSource" ref="DataSource" /><property name="configLocation" value="classpath:quartz.properties" /><!--applicationContextSchedulerContextKey： 是org.springframework.scheduling.quartz.SchedulerFactoryBean这个类中把spring上下 文以key/value的方式存放在了quartz的上下文中了，可以用applicationContextSchedulerContextKey所定义的key得到对应的spring上下文-->  <property name="applicationContextSchedulerContextKey" value="applicationContextKey"/>     </bean></beans>

这里使用的是阿里的druid数据源  

数据库建表sql可以在下载下来的quartz-2.x.x\docs\dbTables下面找到

各表的作用和说明 

SimpleJob.java

package cn.zto.job;import java.text.SimpleDateFormat;import java.util.Date;import org.quartz.DisallowConcurrentExecution;import org.quartz.Job;import org.quartz.JobDataMap;import org.quartz.JobDetail;import org.quartz.JobExecutionContext;import org.quartz.JobExecutionException;import org.quartz.JobKey;import org.quartz.PersistJobDataAfterExecution;import org.slf4j.Logger;import org.slf4j.LoggerFactory;public class SimpleJob implements Job {  public void execute(JobExecutionContext context)    throws JobExecutionException  {//通过上下文获取    JobKey jobKey = context.getJobDetail().getKey();        SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy年MM月dd日 HH时mm分ss秒");      System.out.println("集群列子1："+ jobKey + " 在 " + dateFormat.format(new Date())+" 时运行");  }}

ClumpedExample.java

package cn.zto.example;import java.util.ArrayList;import java.util.Date;import java.util.List;import java.util.Set;import org.junit.Test;import org.quartz.DateBuilder;import org.quartz.JobBuilder;import org.quartz.JobDetail;import org.quartz.JobExecutionContext;import org.quartz.JobKey;import org.quartz.Scheduler;import org.quartz.SchedulerException;import org.quartz.SimpleScheduleBuilder;import org.quartz.SimpleTrigger;import org.quartz.Trigger;import org.quartz.TriggerBuilder;import org.quartz.TriggerKey;import org.quartz.impl.matchers.GroupMatcher;import org.springframework.context.ApplicationContext;import org.springframework.context.support.ClassPathXmlApplicationContext;import cn.zto.job.SimpleJob;public class ClumpedExample {public void run () throws SchedulerException {ApplicationContext context = new ClassPathXmlApplicationContext("applicationContext.xml");System.out.println("集群列子1");Scheduler sche = (Scheduler) context.getBean("scheduler");//获取正在运行中的JobList<JobExecutionContext> executingJobs = sche.getCurrentlyExecutingJobs();//获取数据库中的JobGroupMatcher<JobKey> jobMatcher = GroupMatcher.anyJobGroup();Set<JobKey> jobKeys = sche.getJobKeys(jobMatcher);List<JobDetail> jobDetails = new ArrayList<JobDetail>();for (JobKey key : jobKeys) {jobDetails.add(sche.getJobDetail(key));}//获取数据库中的TriggerGroupMatcher<TriggerKey> TgrMatcher = GroupMatcher.anyTriggerGroup();Set<TriggerKey> Keys = sche.getTriggerKeys(TgrMatcher);List<Trigger> triggers = new ArrayList<Trigger>();for (TriggerKey key : Keys) {triggers.add(sche.getTrigger(key));}    //自动获取数据库中触发器和job的信息  然后执行sche.start();while(true){}}@Testpublic void test() {ClumpedExample example = new ClumpedExample();try {example.run();} catch (SchedulerException e) {e.printStackTrace();}}}

具体详细信息可以查看这本书Quartz Job Scheduling Framework 中文版；