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分布式spring-quartz

分布式spring-quartz

作者: 夏日橘子冰 | 来源:发表于2018-09-25 10:22 被阅读0次

    一、Quartz集群如何工作

    一个 Quartz 集群中的每个节点是一个独立的 Quartz 应用,它又管理着其他的节点。意思是你必须对每个节点分别启动或停止。不像许多应用服务器的集群,独立的 Quartz 节点并不与另一其的节点或是管理节点通信。Quartz 应用是通过数据库表来感知到另一应用的。

    图:表示了每个节点直接与数据库通信,若离开数据库将对其他节点一无所知


    quartzCluster.png

    二、如何搭建分布式Quartz

    【step1:创建quartz DB】

    下载quartz-2.2.3-distribution.tar,解压,找到quartz-2.2.3-distribution\quartz-2.2.3\docs\tables_mysql_innodb.sql,并执行

    【step2:配置文件】

    1、quartz.properties

    #============================================================================
    # Configure JobStore
    # Using Spring datasource in quartzJobsConfig.xml
    # Spring uses LocalDataSourceJobStore extension of JobStoreCMT
    #============================================================================
    org.quartz.jobStore.useProperties=true
    org.quartz.jobStore.tablePrefix = QRTZ_
    org.quartz.jobStore.isClustered = true
    org.quartz.jobStore.clusterCheckinInterval = 20000
    org.quartz.jobStore.misfireThreshold = 60000
    org.quartz.jobStore.txIsolationLevelReadCommitted = true
    
    # Change this to match your DB vendor
    org.quartz.jobStore.class = org.quartz.impl.jdbcjobstore.JobStoreTX
    org.quartz.jobStore.driverDelegateClass = org.quartz.impl.jdbcjobstore.StdJDBCDelegate
    
    
    #============================================================================
    # Configure Main Scheduler Properties
    # Needed to manage cluster instances
    #============================================================================
    org.quartz.scheduler.instanceId=AUTO
    org.quartz.scheduler.instanceName=MY_CLUSTERED_JOB_SCHEDULER
    org.quartz.scheduler.rmi.export = false
    org.quartz.scheduler.rmi.proxy = false
    
    
    #============================================================================
    # Configure ThreadPool
    #============================================================================
    org.quartz.threadPool.class = org.quartz.simpl.SimpleThreadPool
    org.quartz.threadPool.threadCount = 10
    org.quartz.threadPool.threadPriority = 5
    org.quartz.threadPool.threadsInheritContextClassLoaderOfInitializingThread = true
    

    2、jdbc.properties

    jdbc.driverClassName=com.mysql.jdbc.Driver
    jdbc.url=jdbc:mysql://x.x.x.x:3306/matchdb?zeroDateTimeBehavior=convertToNull&useUnicode=true&characterEncoding=UTF-8&autoReconnect=true&useOldAliasMetadataBehavior=true
    jdbc.username=root
    jdbc.password=latch
    jdbc.maxConnectionCount=150
    jdbc.minConnectionCount=5
    jdbc.acquire.increment=5
    

    3、spring-quartz-cluster.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:context="http://www.springframework.org/schema/context"
        xmlns:aop="http://www.springframework.org/schema/aop" xmlns:tx="http://www.springframework.org/schema/tx"
        xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.0.xsd
                http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop-3.0.xsd
                http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-3.0.xsd
                http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-3.0.xsd"
        default-autowire="byName" default-lazy-init="true">
    
        <context:component-scan base-package="com.latech.matchData"/>
        <!-- 分布式事务配置 start -->
        
        <!-- 配置任务并发执行线程池 -->
        <bean id="executor" class="org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor">
            <property name="corePoolSize" value="3" />
            <property name="maxPoolSize" value="5" />
            <property name="queueCapacity" value="10" />
        </bean>
        
        <bean name="transactionManager" class="org.springframework.jdbc.datasource.DataSourceTransactionManager">
            <property name="dataSource" ref="dataSource"/>
        </bean>
        
        <!-- 配置调度任务-->
        <bean name="quartzScheduler" class="org.springframework.scheduling.quartz.SchedulerFactoryBean">
            <property name="configLocation" value="classpath:quartz.properties"/>
            <property name="dataSource" ref="dataSource"/>
            <property name="applicationContextSchedulerContextKey" value="applicationContextKey" />
         <!--    <property name="transactionManager" ref="transactionManager"/> -->
             <!-- 任务唯一的名称,将会持久化到数据库-->
            <property name="schedulerName" value="getMatchDataJobsScheduler"/>
    
            <!-- 每台集群机器部署应用的时候会更新触发器-->
            <property name="overwriteExistingJobs" value="true"/>
        
            <property name="jobFactory">
                <bean class="com.latech.matchData.impl.AutowiringSpringBeanJobFactory"/>
            </property>
            <property name="triggers">
                <list>
                    <ref bean="getMatchDataJobsScheduler"/>
                    <ref bean="getMatchResultJobsScheduler"/>
                </list>
            </property>
        </bean>
       
        <!-- 配置Job详情 -->
        <bean name="getMatchDataJobs" class="org.springframework.scheduling.quartz.JobDetailFactoryBean">
            <property name="jobClass" value="com.latech.matchData.impl.GetMatchDataJobs"/>
            <property name="durability" value="true"/>
            <property name="requestsRecovery" value="true"/>
        </bean>
      
         <!-- 配置触发时间 -->
        <bean name="getMatchDataJobsScheduler" class="org.springframework.scheduling.quartz.SimpleTriggerFactoryBean">
            <property name="jobDetail" ref="getMatchDataJobs"/>
            <property name="startDelay" value="0" />
            <property name="repeatInterval" value="10000" />
        </bean> 
    </beans>    
    

    4、spring-service-context.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:context="http://www.springframework.org/schema/context" xmlns:tx="http://www.springframework.org/schema/tx"
        xmlns:aop="http://www.springframework.org/schema/aop"
        xsi:schemaLocation="http://www.springframework.org/schema/beans 
                               http://www.springframework.org/schema/beans/spring-beans-4.3.xsd
                               http://www.springframework.org/schema/context
                               http://www.springframework.org/schema/context/spring-context-4.3.xsd
                               http://www.springframework.org/schema/tx
                               http://www.springframework.org/schema/tx/spring-tx-4.3.xsd
                               http://www.springframework.org/schema/aop
                               http://www.springframework.org/schema/aop/spring-aop-4.3.xsd">
    
        <!-- 采用注释的方式配置bean -->
        <context:annotation-config />
        <!-- 配置要扫描的包 -->
        <context:component-scan base-package="com.latech" />
        <!--定义切面 自动代理 -->
        <aop:aspectj-autoproxy />
        <!-- 读入配置属性文件 -->
        <context:property-placeholder location="classpath*:jdbc.properties"
            ignore-unresolvable="true" />
    
        <bean id="dataSource" class="org.apache.commons.dbcp.BasicDataSource"
            destroy-method="close">
            <property name="driverClassName" value="${jdbc.driverClassName}" />
            <property name="url" value="${jdbc.url}" />
            <property name="username" value="${jdbc.username}" />
            <property name="password" value="${jdbc.password}" />
            <!--maxActive: 最大连接数量 -->
            <property name="maxActive" value="${jdbc.maxConnectionCount}" />
            <!--minIdle: 最小空闲连接 -->
            <property name="minIdle" value="${jdbc.minConnectionCount}" />
            <!--maxIdle: 最大空闲连接 -->
            <property name="maxIdle" value="20" />
            <!--initialSize: 初始化连接 -->
            <property name="initialSize" value="30" />
            <!-- 连接被泄露时是否打印 -->
            <property name="logAbandoned" value="true" />
            <!--removeAbandoned: 是否自动回收超时连接 -->
            <property name="removeAbandoned" value="true" />
            <!--removeAbandonedTimeout: 超时时间(以秒数为单位) -->
            <property name="removeAbandonedTimeout" value="10" />
            <!--maxWait: 超时等待时间以毫秒为单位 1000等于60秒 -->
            <property name="maxWait" value="1000" />
            <!-- 在空闲连接回收器线程运行期间休眠的时间值,以毫秒为单位. -->
            <property name="timeBetweenEvictionRunsMillis" value="10000" />
            <!-- 在每次空闲连接回收器线程(如果有)运行时检查的连接数量 -->
            <property name="numTestsPerEvictionRun" value="10" />
            <!-- 1000 * 60 * 30 连接在池中保持空闲而不被空闲连接回收器线程 -->
            <property name="minEvictableIdleTimeMillis" value="10000" />
            <property name="validationQuery" value="SELECT NOW() FROM DUAL" />
        </bean> 
        <!-- 统一异常处理配置 -->
        <bean id="exceptionHandler" class="com.latech.ExceptionAdvisor"></bean>
        <!-- AOP throwing管理 -->
        <bean id="exceptionHandlerPointCut"
            class="org.springframework.aop.aspectj.AspectJExpressionPointcut">
            <property name="expression"
                value="execution(* com.latech.*.impl.*.*(..)) or execution(* latech.*.impl.*.*(..))"></property>
        </bean>
        <bean id="exceptionHandlerAdvisor" class="org.springframework.aop.support.DefaultPointcutAdvisor">
            <property name="pointcut" ref="exceptionHandlerPointCut"></property>
            <property name="advice" ref="exceptionHandler"></property>
        </bean>
        <import resource="classpath*:/spring-service.xml" />
    <!--导入分布式配置-->
        <import resource="classpath*:/spring-quartz-cluster.xml" /> 
        <!-- dubbo服务 -->
        <import resource="classpath*:/dubbo-*-provider.xml" />
        <import resource="classpath*:/spring-mybatis.xml" />
    </beans>
      
    
    【step3:创建job】

    1、AutowiringSpringBeanJobFactory类是为了可以在scheduler中使用spring注解,如果不使用注解,可以不适用该类,而直接使用
    SpringBeanJobFactory

    package com.latech.matchData.impl;
    
    import org.quartz.spi.TriggerFiredBundle;
    import org.springframework.beans.BeansException;
    import org.springframework.beans.factory.config.AutowireCapableBeanFactory;
    import org.springframework.context.ApplicationContext;
    import org.springframework.context.ApplicationContextAware;
    import org.springframework.scheduling.quartz.SpringBeanJobFactory;
    /**
     * 使job类支持spring的自动注入
     * @author Administrator
     *
     */
    public class AutowiringSpringBeanJobFactory extends SpringBeanJobFactory implements ApplicationContextAware
    {
        private transient AutowireCapableBeanFactory beanFactory;
    
        public void setApplicationContext(ApplicationContext applicationContext) throws BeansException
        {
            beanFactory = applicationContext.getAutowireCapableBeanFactory();
        }
    
    
        @Override
        protected Object createJobInstance(TriggerFiredBundle bundle) throws Exception
        {
            Object job = super.createJobInstance(bundle);
            beanFactory.autowireBean(job);
            return job;
        }
    }
    

    2、创建具体job

    package com.latech.matchData.impl;
    
    import org.quartz.DisallowConcurrentExecution;
    import org.quartz.JobExecutionContext;
    import org.quartz.JobExecutionException;
    import org.quartz.PersistJobDataAfterExecution;
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.scheduling.quartz.QuartzJobBean;
    
    import com.latech.matchData.api.IMatchDataService;
    
    @PersistJobDataAfterExecution
    @DisallowConcurrentExecution// 不允许并发执行
    public class GetMatchDataJobs extends QuartzJobBean{
     //这里就是因为有上文中的AutowiringSpringBeanJobFactory才可以使用@Autowired注解,否则只能在配置文件中设置这属性的值
        @Autowired
        private IMatchDataService matchDataService;
        
        @Override
        protected void executeInternal(JobExecutionContext context) throws JobExecutionException {
            matchDataService.addMatchInfoToDB();
        }
    
    }
    

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