Spring整合Quartz
a、quartz调度框架是有内置表的
进入quartz的官网http://www.quartz-scheduler.org/，点击Downloads，
下载后在目录docsdbTables下有常用数据库创建quartz表的脚本，例如：
导入pom依赖
<?xml version="1.0" encoding="UTF-8"?> <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 https://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <parent> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-parent</artifactId> <version>2.2.1.RELEASE</version> <relativePath/> <!-- lookup parent from repository --> </parent> <groupId>com.jt</groupId> <artifactId>quartz02</artifactId> <version>0.0.1-SNAPSHOT</version> <name>quartz02</name> <description>Demo project for Spring Boot</description> <properties> <java.version>1.8</java.version> </properties> <dependencies> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.mybatis.spring.boot</groupId> <artifactId>mybatis-spring-boot-starter</artifactId> <version>2.1.1</version> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <scope>runtime</scope> <version>5.1.44</version> </dependency> <dependency> <groupId>org.projectlombok</groupId> <artifactId>lombok</artifactId> <optional>true</optional> </dependency> <!--quartz--> <dependency> <groupId>org.quartz-scheduler</groupId> <artifactId>quartz-jobs</artifactId> <version>2.2.1</version> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-quartz</artifactId> </dependency> <!--druid--> <dependency> <groupId>com.alibaba</groupId> <artifactId>druid-spring-boot-starter</artifactId> <version>1.1.10</version> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope> <exclusions> <exclusion> <groupId>org.junit.vintage</groupId> <artifactId>junit-vintage-engine</artifactId> </exclusion> </exclusions> </dependency> </dependencies> <build> <resources> <!--解决mybatis-generator-maven-plugin运行时没有将XxxMapper.xml文件放入target文件夹的问题--> <resource> <directory>src/main/java</directory> <includes> <include>**/*.xml</include> </includes> </resource> <!--解决mybatis-generator-maven-plugin运行时没有将jdbc.properites文件放入target文件夹的问题--> <resource> <directory>src/main/resources</directory> <includes> <include>*.properties</include> <include>*.xml</include> <include>*.yml</include> </includes> </resource> </resources> <plugins> <plugin> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-maven-plugin</artifactId> </plugin> <plugin> <groupId>org.mybatis.generator</groupId> <artifactId>mybatis-generator-maven-plugin</artifactId> <version>1.3.2</version> <dependencies> <!--使用Mybatis-generator插件不能使用太高版本的mysql驱动 --> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <version>5.1.44</version> </dependency> </dependencies> <configuration> <overwrite>true</overwrite> </configuration> </plugin> </plugins> </build> </project>
自定义的业务表
-- 注意：job_name存放的任务类的全路径，在quartz中通过jobName和jobGroup来确定trigger的唯一性，所以这两列为联合唯一索引 create table t_schedule_trigger ( id int primary key auto_increment, -- ID cron varchar(200) not null, -- 时间表达式 status char(1) not null, -- 使用状态 0：禁用 1：启用 job_name varchar(200) not null, -- 任务名称 job_group varchar(200) not null, -- 任务分组 unique index(job_name,job_group) ); -- 额外添加到任务中的参数 create table t_schedule_trigger_param ( param_id int primary key auto_increment, -- ID name varchar(200) not null, -- 参数名 value varchar(512), -- 参数值 schedule_trigger_id int not null, -- 外键：引用t_schedule_trigger(id) foreign key(schedule_trigger_id) references t_schedule_trigger(id) );
导入DruidConnectionProvider.java
package com.jt.quartz02.util; import com.alibaba.druid.pool.DruidDataSource; import org.quartz.SchedulerException; import org.quartz.utils.ConnectionProvider; import java.sql.Connection; import java.sql.SQLException; /* #============================================================================ # JDBC #============================================================================ org.quartz.jobStore.driverDelegateClass:org.quartz.impl.jdbcjobstore.StdJDBCDelegate org.quartz.jobStore.useProperties:false org.quartz.jobStore.dataSource:qzDS #org.quartz.dataSource.qzDS.connectionProvider.class:org.quartz.utils.PoolingConnectionProvider org.quartz.dataSource.qzDS.connectionProvider.class:com.zking.q03.quartz.DruidConnectionProvider org.quartz.dataSource.qzDS.driver:com.mysql.jdbc.Driver org.quartz.dataSource.qzDS.URL:jdbc:mysql://127.0.0.1:3306/test?useUnicode=true&characterEncoding=UTF-8 org.quartz.dataSource.qzDS.user:root org.quartz.dataSource.qzDS.password:root org.quartz.dataSource.qzDS.maxConnections:30 org.quartz.dataSource.qzDS.validationQuery: select 0 */ /** * [Druid连接池的Quartz扩展类] */ public class DruidConnectionProvider implements ConnectionProvider { /* * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * 常量配置，与quartz.properties文件的key保持一致(去掉前缀)，同时提供set方法，Quartz框架自动注入值。 * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ */ //JDBC驱动 public String driver; //JDBC连接串 public String URL; //数据库用户名 public String user; //数据库用户密码 public String password; //数据库最大连接数 public int maxConnection; //数据库SQL查询每次连接返回执行到连接池，以确保它仍然是有效的。 public String validationQuery; private boolean validateOnCheckout; private int idleConnectionValidationSeconds; public String maxCachedStatementsPerConnection; private String discardIdleConnectionsSeconds; public static final int DEFAULT_DB_MAX_CONNECTIONS = 10; public static final int DEFAULT_DB_MAX_CACHED_STATEMENTS_PER_CONNECTION = 120; //Druid连接池 private DruidDataSource datasource; /* * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * 接口实现 * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ */ public Connection getConnection() throws SQLException { return datasource.getConnection(); } public void shutdown() throws SQLException { datasource.close(); } public void initialize() throws SQLException{ if (this.URL == null) { throw new SQLException("DBPool could not be created: DB URL cannot be null"); } if (this.driver == null) { throw new SQLException("DBPool driver could not be created: DB driver class name cannot be null!"); } if (this.maxConnection < 0) { throw new SQLException("DBPool maxConnectins could not be created: Max connections must be greater than zero!"); } datasource = new DruidDataSource(); try{ datasource.setDriverClassName(this.driver); } catch (Exception e) { try { throw new SchedulerException("Problem setting driver class name on datasource: " + e.getMessage(), e); } catch (SchedulerException e1) { } } datasource.setUrl(this.URL); datasource.setUsername(this.user); datasource.setPassword(this.password); datasource.setMaxActive(this.maxConnection); datasource.setMinIdle(1); datasource.setMaxWait(0); datasource.setMaxPoolPreparedStatementPerConnectionSize(this.DEFAULT_DB_MAX_CACHED_STATEMENTS_PER_CONNECTION); if (this.validationQuery != null) { datasource.setValidationQuery(this.validationQuery); if(!this.validateOnCheckout) datasource.setTestOnReturn(true); else datasource.setTestOnBorrow(true); datasource.setValidationQueryTimeout(this.idleConnectionValidationSeconds); } } /* * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * 提供get set方法 * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ */ public String getDriver() { return driver; } public void setDriver(String driver) { this.driver = driver; } public String getURL() { return URL; } public void setURL(String URL) { this.URL = URL; } public String getUser() { return user; } public void setUser(String user) { this.user = user; } public String getPassword() { return password; } public void setPassword(String password) { this.password = password; } public int getMaxConnection() { return maxConnection; } public void setMaxConnection(int maxConnection) { this.maxConnection = maxConnection; } public String getValidationQuery() { return validationQuery; } public void setValidationQuery(String validationQuery) { this.validationQuery = validationQuery; } public boolean isValidateOnCheckout() { return validateOnCheckout; } public void setValidateOnCheckout(boolean validateOnCheckout) { this.validateOnCheckout = validateOnCheckout; } public int getIdleConnectionValidationSeconds() { return idleConnectionValidationSeconds; } public void setIdleConnectionValidationSeconds(int idleConnectionValidationSeconds) { this.idleConnectionValidationSeconds = idleConnectionValidationSeconds; } public DruidDataSource getDatasource() { return datasource; } public void setDatasource(DruidDataSource datasource) { this.datasource = datasource; } }
quartz.properties
# #============================================================================ # Configure Main Scheduler Properties u8C03u5EA6u5668u5C5Eu6027 #============================================================================ org.quartz.scheduler.instanceName: DefaultQuartzScheduler org.quartz.scheduler.instanceId = AUTO org.quartz.scheduler.rmi.export: false org.quartz.scheduler.rmi.proxy: false org.quartz.scheduler.wrapJobExecutionInUserTransaction: false org.quartz.threadPool.class: org.quartz.simpl.SimpleThreadPool org.quartz.threadPool.threadCount= 10 org.quartz.threadPool.threadPriority: 5 org.quartz.threadPool.threadsInheritContextClassLoaderOfInitializingThread: true org.quartz.jobStore.misfireThreshold: 60000 #============================================================================ # Configure JobStore #============================================================================ #u5B58u50A8u65B9u5F0Fu4F7Fu7528JobStoreTXuFF0Cu4E5Fu5C31u662Fu6570u636Eu5E93 org.quartz.jobStore.class: org.quartz.impl.jdbcjobstore.JobStoreTX org.quartz.jobStore.driverDelegateClass:org.quartz.impl.jdbcjobstore.StdJDBCDelegate #u4F7Fu7528u81EAu5DF1u7684u914Du7F6Eu6587u4EF6 org.quartz.jobStore.useProperties:true #u6570u636Eu5E93u4E2Dquartzu8868u7684u8868u540Du524Du7F00 org.quartz.jobStore.tablePrefix:qrtz_ org.quartz.jobStore.dataSource:qzDS #u662Fu5426u4F7Fu7528u96C6u7FA4uFF08u5982u679Cu9879u76EEu53EAu90E8u7F72u5230 u4E00u53F0u670Du52A1u5668uFF0Cu5C31u4E0Du7528u4E86uFF09 org.quartz.jobStore.isClustered = true #============================================================================ # Configure Datasources #============================================================================ #u914Du7F6Eu6570u636Eu5E93u6E90 org.quartz.dataSource.qzDS.connectionProvider.class: com.jt.quartz02.util.DruidConnectionProvider org.quartz.dataSource.qzDS.driver: com.mysql.jdbc.Driver org.quartz.dataSource.qzDS.URL: jdbc:mysql://localhost:3306/xm1?useUnicode=true&characterEncoding=utf8 org.quartz.dataSource.qzDS.user: root org.quartz.dataSource.qzDS.password: 123 org.quartz.dataSource.qzDS.maxConnection: 10
MyJobFactory.java
package com.jt.quartz02.quartz; import lombok.extern.slf4j.Slf4j; import org.quartz.spi.TriggerFiredBundle; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.beans.factory.config.AutowireCapableBeanFactory; import org.springframework.scheduling.quartz.AdaptableJobFactory; import org.springframework.stereotype.Component; @Component @Slf4j public class MyJobFactory extends AdaptableJobFactory { //这个对象Spring会帮我们自动注入进来 @Autowired private AutowireCapableBeanFactory autowireCapableBeanFactory; //重写创建Job任务的实例方法 @Override protected Object createJobInstance(TriggerFiredBundle bundle) throws Exception { //获取quartz框架的任务实例 Object jobInstance = super.createJobInstance(bundle); //通过以下方式，解决Job任务无法使用Spring中的Bean问题 autowireCapableBeanFactory.autowireBean(jobInstance); return jobInstance; } }
QuartzConfiguration.java（quartz调度框架与spring框架整合的配置类，主要是要将org.quartz.Scheduler交给spring进行管理）
package com.jt.quartz02.quartz; import org.quartz.Scheduler; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.beans.factory.config.PropertiesFactoryBean; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.core.io.ClassPathResource; import org.springframework.scheduling.quartz.SchedulerFactoryBean; import java.io.IOException; import java.util.Properties; /** * 创建配置类 */ @Configuration public class QuartzConfiguration { @Autowired private MyJobFactory myJobFactory; @Bean public SchedulerFactoryBean schedulerFactoryBean(){ SchedulerFactoryBean sc=new SchedulerFactoryBean(); try { //加载自定义的quartz.properties文件 sc.setQuartzProperties(quartzProperties()); //设置自定义的JobFactory工程类，解决Spring不能再Quartz框架中Bean的注入问题 sc.setJobFactory(myJobFactory); return sc; } catch (IOException e) { throw new RuntimeException(e); } } //指定quartz.properties @Bean public Properties quartzProperties() throws IOException { //创建Properties属性工厂Bean类 PropertiesFactoryBean propertiesFactoryBean = new PropertiesFactoryBean(); //加载自定义的quartz.properties propertiesFactoryBean.setLocation(new ClassPathResource("/quartz.properties")); propertiesFactoryBean.afterPropertiesSet(); return propertiesFactoryBean.getObject(); } //创建schedule @Bean(name = "scheduler") public Scheduler scheduler() { //从调度器工厂Bean中获取调取度实例对象 return schedulerFactoryBean().getScheduler(); } }
案例中需要观察表数据变化的表
-- 自定义的业务表 SELECT * FROM t_schedule_trigger; SELECT * FROM t_schedule_trigger_param; -- quartz调度框架自带的表 SELECT * FROM qrtz_scheduler_state; SELECT * FROM qrtz_cron_triggers; SELECT * FROM qrtz_simple_triggers SELECT * FROM qrtz_triggers; SELECT * FROM qrtz_job_details;
application.yml
server: port: 8080 servlet: context-path: / spring: datasource: #1.JDBC type: com.alibaba.druid.pool.DruidDataSource driver-class-name: com.mysql.jdbc.Driver url: jdbc:mysql://localhost:3306/xm1?useUnicode=true&characterEncoding=utf8 username: root password: 123 druid: #2.连接池配置 #初始化连接池的连接数量 大小，最小，最大 initial-size: 5 min-idle: 5 max-active: 20 #配置获取连接等待超时的时间 max-wait: 60000 #配置间隔多久才进行一次检测，检测需要关闭的空闲连接，单位是毫秒 time-between-eviction-runs-millis: 60000 # 配置一个连接在池中最小生存的时间，单位是毫秒 min-evictable-idle-time-millis: 30000 validation-query: SELECT 1 FROM DUAL test-while-idle: true test-on-borrow: true test-on-return: false # 是否缓存preparedStatement，也就是PSCache 官方建议MySQL下建议关闭 个人建议如果想用SQL防火墙 建议打开 pool-prepared-statements: true max-pool-prepared-statement-per-connection-size: 20 # 配置监控统计拦截的filters，去掉后监控界面sql无法统计，'wall'用于防火墙 filter: stat: merge-sql: true slow-sql-millis: 5000 #3.基础监控配置 web-stat-filter: enabled: true url-pattern: /* #设置不统计哪些URL exclusions: "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*" session-stat-enable: true session-stat-max-count: 100 stat-view-servlet: enabled: true url-pattern: /druid/* reset-enable: true #设置监控页面的登录名和密码 login-username: admin login-password: admin allow: 127.0.0.1 #mybatis配置 mybatis: #配置SQL映射文件路径 mapper-locations: classpath:mapper/*.xml #驼峰命名 configuration: map-underscore-to-camel-case: true logging: level: com.jt.quartz02.mapper: debug #deny: 192.168.1.100
Quartz02Application
package com.jt.quartz02; import org.mybatis.spring.annotation.MapperScan; import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication; import org.springframework.scheduling.annotation.EnableScheduling; import org.springframework.transaction.annotation.EnableTransactionManagement; @SpringBootApplication @MapperScan("com.jt.quartz02.mapper") @EnableTransactionManagement @EnableScheduling public class Quartz02Application { public static void main(String[] args) { SpringApplication.run(Quartz02Application.class, args); } }
generatorConfig.xml
<?xml version="1.0" encoding="UTF-8" ?> <!DOCTYPE generatorConfiguration PUBLIC "-//mybatis.org//DTD MyBatis Generator Configuration 1.0//EN" "http://mybatis.org/dtd/mybatis-generator-config_1_0.dtd" > <generatorConfiguration> <!-- 引入配置文件 --> <properties resource="jdbc.properties"/> <!--指定数据库jdbc驱动jar包的位置--> <classPathEntry location="D: epositorymvn-repositorymysqlmysql-connector-java5.1.44mysql-connector-java-5.1.44.jar"/> <!-- 一个数据库一个context --> <context id="infoGuardian"> <!-- 注释 --> <commentGenerator> <property name="suppressAllComments" value="true"/><!-- 是否取消注释 --> <property name="suppressDate" value="true"/> <!-- 是否生成注释代时间戳 --> </commentGenerator> <!-- jdbc连接 --> <jdbcConnection driverClass="${jdbc.driver}" connectionURL="${jdbc.url}" userId="${jdbc.username}" password="${jdbc.password}"/> <!-- 类型转换 --> <javaTypeResolver> <!-- 是否使用bigDecimal， false可自动转化以下类型（Long, Integer, Short, etc.） --> <property name="forceBigDecimals" value="false"/> </javaTypeResolver> <!-- 01 指定javaBean生成的位置 --> <!-- targetPackage：指定生成的model生成所在的包名 --> <!-- targetProject：指定在该项目下所在的路径 --> <javaModelGenerator targetPackage="com.jt.quartz02.model" targetProject="src/main/java"> <!-- 是否允许子包，即targetPackage.schemaName.tableName --> <property name="enableSubPackages" value="false"/> <!-- 是否对model添加构造函数 --> <property name="constructorBased" value="true"/> <!-- 是否针对string类型的字段在set的时候进行trim调用 --> <property name="trimStrings" value="false"/> <!-- 建立的Model对象是否 不可改变 即生成的Model对象不会有 setter方法，只有构造方法 --> <property name="immutable" value="false"/> </javaModelGenerator> <!-- 02 指定sql映射文件生成的位置 --> <sqlMapGenerator targetPackage="com.jt.quartz02.mapper" targetProject="src/main/java"> <!-- 是否允许子包，即targetPackage.schemaName.tableName --> <property name="enableSubPackages" value="false"/> </sqlMapGenerator> <!-- 03 生成XxxMapper接口 --> <!-- type="ANNOTATEDMAPPER",生成Java Model 和基于注解的Mapper对象 --> <!-- type="MIXEDMAPPER",生成基于注解的Java Model 和相应的Mapper对象 --> <!-- type="XMLMAPPER",生成SQLMap XML文件和独立的Mapper接口 --> <javaClientGenerator targetPackage="com.jt.quartz02.mapper" targetProject="src/main/java" type="XMLMAPPER"> <!-- 是否在当前路径下新加一层schema,false路径com.oop.eksp.user.model， true:com.oop.eksp.user.model.[schemaName] --> <property name="enableSubPackages" value="false"/> </javaClientGenerator> <!-- 配置表信息 --> <!-- schema即为数据库名 --> <!-- tableName为对应的数据库表 --> <!-- domainObjectName是要生成的实体类 --> <!-- enable*ByExample是否生成 example类 --> <!--<table schema="" tableName="t_book" domainObjectName="Book"--> <!--enableCountByExample="false" enableDeleteByExample="false"--> <!--enableSelectByExample="false" enableUpdateByExample="false">--> <!--<!– 忽略列，不生成bean 字段 –>--> <!--<!– <ignoreColumn column="FRED" /> –>--> <!--<!– 指定列的java数据类型 –>--> <!--<!– <columnOverride column="LONG_VARCHAR_FIELD" jdbcType="VARCHAR" /> –>--> <!--</table>--> <!-- <table schema="" tableName="t_schedule_trigger" domainObjectName="ScheduleTtrigger" enableCountByExample="false" enableDeleteByExample="false" enableSelectByExample="false" enableUpdateByExample="false"> <!– 忽略列，不生成bean 字段 –> <!– <ignoreColumn column="FRED" /> –> <!– 指定列的java数据类型 –> <!– <columnOverride column="LONG_VARCHAR_FIELD" jdbcType="VARCHAR" /> –> </table> <table schema="" tableName="t_schedule_trigger_param" domainObjectName="ScheduleTriggerParam" enableCountByExample="false" enableDeleteByExample="false" enableSelectByExample="false" enableUpdateByExample="false"> <!– 忽略列，不生成bean 字段 –> <!– <ignoreColumn column="FRED" /> –> <!– 指定列的java数据类型 –> <!– <columnOverride column="LONG_VARCHAR_FIELD" jdbcType="VARCHAR" /> –> </table>--> </context> </generatorConfiguration>
jdbc.properties
jdbc.driver=com.mysql.jdbc.Driver jdbc.url=jdbc:mysql://localhost:3306/xm1?useUnicode=true&characterEncoding=UTF-8 jdbc.username=root jdbc.password=123
ScheduleTtriggerMapper
package com.jt.quartz02.mapper; import com.jt.quartz02.model.ScheduleTtrigger; import org.springframework.stereotype.Repository; import java.util.List; @Repository public interface ScheduleTtriggerMapper { int deleteByPrimaryKey(Integer id); int insert(ScheduleTrigger record); int insertSelective(ScheduleTrigger record); ScheduleTrigger selectByPrimaryKey(Integer id); int updateByPrimaryKeySelective(ScheduleTrigger record); int updateByPrimaryKey(ScheduleTrigger record); /** * 获取所有的定时调度任务信息t_schedule_trigger */ List<ScheduleTtrigger> queryScheduleTtrigger(); }
ScheduleTtriggerMapper.xml
<select id="queryScheduleTtrigger" resultType="com.jt.quartz02.model.ScheduleTtrigger"> SELECT <include refid="Base_Column_List"/> FROM t_schedule_trigger </select>
ScheduleTriggerParamMapper
package com.jt.quartz02.mapper; import com.jt.quartz02.model.ScheduleTriggerParam; import org.springframework.stereotype.Repository; import java.util.List; @Repository public interface ScheduleTriggerParamMapper { int deleteByPrimaryKey(Integer param_id); int insert(ScheduleTriggerParam record); int insertSelective(ScheduleTriggerParam record); ScheduleTriggerParam selectByPrimaryKey(Integer param_id); int updateByPrimaryKeySelective(ScheduleTriggerParam record); int updateByPrimaryKey(ScheduleTriggerParam record); /** * 根据定时任务id获取任务对应的执行参数信息 */ List<ScheduleTriggerParam> queryScheduleParams(Integer id); }
ScheduleTriggerParamMapper.xml
<select id="queryScheduleParams" resultType="com.jt.quartz02.model.ScheduleTriggerParam"> SELECT <include refid="Base_Column_List"/> FROM t_schedule_trigger_param where schedule_trigger_id=#{id} </select>
spring自带定时任务作业类SScheduleTriggerParamServiceImpl
package com.jt.quartz02.service.impl; import com.jt.quartz02.mapper.ScheduleTriggerParamMapper; import com.jt.quartz02.mapper.ScheduleTtriggerMapper; import com.jt.quartz02.model.ScheduleTriggerParam; import com.jt.quartz02.model.ScheduleTtrigger; import org.quartz.*; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.scheduling.annotation.Scheduled; import org.springframework.stereotype.Service; import java.util.List; @Service public class SScheduleTriggerParamServiceImpl { //获取调度器实例 @Autowired private Scheduler scheduler; @Autowired private ScheduleTtriggerMapper sheduleTtriggerMapper; @Autowired private ScheduleTriggerParamMapper scheduleTriggerParamMapper; @Scheduled(cron = "*/10 * * * * ?") public void reflushScheduler(){ try { //1.循环获取数据库里面的所有定时任务信息 List<ScheduleTtrigger> list = sheduleTtriggerMapper.queryScheduleTtrigger(); //2.循环遍历 for (ScheduleTtrigger scheduleTtrigger : list) { //获取cron表达式 String cron=scheduleTtrigger.getCron(); //获取Jobname,job任务类的全路径名 String jobname=scheduleTtrigger.getJobName(); //获取JobGroup String jobGroup=scheduleTtrigger.getJobGroup(); //获取Status运行状态 String status=scheduleTtrigger.getStatus(); //3.根据Jobname和JobGroup生成TriggerKey TriggerKey triggerKey = TriggerKey.triggerKey(jobname, jobGroup); //4根据TriggerKey获取Scheduler调度器中的触发器，并判断是否为null，不为null即存在 CronTrigger trigger =(CronTrigger) scheduler.getTrigger(triggerKey); //5判断是否为null if(null==trigger){ //6.判断当前kob任务是否可用 if(status.equals("0")) continue; //7.创建JobDetail JobDetail jobDetail = JobBuilder.newJob((Class<? extends Job>) Class.forName(jobname)) .withIdentity(jobname,jobGroup) .build(); //8.传递参数到job任中 JobDataMap jobDataMap=jobDetail.getJobDataMap(); //获取调度器任务id Integer scheduleid=scheduleTtrigger.getId(); List<ScheduleTriggerParam> params = scheduleTriggerParamMapper.queryScheduleParams(scheduleid); for (ScheduleTriggerParam param : params) { jobDataMap.put(param.getName(),param.getValue()); } //9.创建cron表达式调度器 CronScheduleBuilder cronScheduleBuilder = CronScheduleBuilder.cronSchedule(cron); //10 创建cron表达式触发器 trigger=TriggerBuilder.newTrigger() .withIdentity(jobname,jobGroup) .withSchedule(cronScheduleBuilder) .build(); //11.将jobDetail和Trigger注入到调度器中 scheduler.scheduleJob(jobDetail,trigger); } else{ System.out.println("Quartz调度器实例已经存在"); if(status.equals("0")){ //删除调度任务 JobKey jobKey=JobKey.jobKey(jobname,jobGroup); scheduler.deleteJob(jobKey); continue; } //获取调度器中的表达式 String cronExpression = trigger.getCronExpression(); //将调度器中的cron与数据库中的job任务进行比对 if(!cron.equals(cronExpression)){ //重构表达式调度器 CronScheduleBuilder newCronSchedule = CronScheduleBuilder.cronSchedule(cron); //重构CronTrigger trigger=TriggerBuilder.newTrigger() .withIdentity(triggerKey) .withSchedule(newCronSchedule) .build(); //刷新调度器实例 scheduler.rescheduleJob(triggerKey,trigger); } } } } catch (Exception e) { e.printStackTrace(); } } }
MyJob.java
package com.jt.quartz02.quartz; import lombok.extern.slf4j.Slf4j; import org.quartz.Job; import org.quartz.JobExecutionContext; import org.quartz.JobExecutionException; import org.springframework.stereotype.Component; import java.util.Date; @Component @Slf4j public class MyJob implements Job{ //获取spring 上下文的Bean @Override public void execute(JobExecutionContext jobExecutionContext) throws JobExecutionException { System.out.println("这是一个简单的Job任务调度实例"+ new Date().toLocaleString()); } }
Spring自带定时任务每10s执行一次，查询自定义触发器表，获取到具体的作业类及任务表达式，quartz的任务为每5s执行一次，所以打印如上
MyJob1.java
package com.jt.quartz02.quartz; import com.jt.quartz02.model.ScheduleTriggerParam; import com.jt.quartz02.service.IScheduleTriggerParamService; import lombok.extern.slf4j.Slf4j; import org.quartz.*; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.stereotype.Component; import java.util.Date; import java.util.List; @Component @Slf4j public class MyJob1 implements Job{ @Autowired private IScheduleTriggerParamService IScheduleTriggerParamService; //获取spring 上下文的Bean @Override public void execute(JobExecutionContext jobExecutionContext) throws JobExecutionException { System.out.println("这是一个获取sprig中Bean的job任务"+new Date().toLocaleString()); List<ScheduleTriggerParam> scheduleTriggerParams = IScheduleTriggerParamService.queryScheduleParams(2); System.out.println("参数数量"+scheduleTriggerParams.size()); } }
MyJob2.java
package com.jt.quartz02.quartz; import lombok.extern.slf4j.Slf4j; import org.quartz.*; import org.springframework.stereotype.Component; import java.util.Date; @Component @Slf4j public class MyJob2 implements Job{ @Override public void execute(JobExecutionContext jobExecutionContext) throws JobExecutionException { JobDetail jobDetail = jobExecutionContext.getJobDetail(); JobDataMap jobDataMap = jobDetail.getJobDataMap(); System.out.println(new Date().toLocaleString()+"-->MyJob2参数传递name="+jobDataMap.get("name")+",score="+ jobDataMap.get("score")); }
