Spring整合Quartz
1、quartz調度框架是有內置表的
進入quartz的官網http://www.quartz-scheduler.org/,點擊Downloads,
下載后在目錄\docs\dbTables下有常用數據庫創建quartz表的腳本,例如:“tables_mysql.sql”
table_mysql.sql
table_mysql_innodb.sql
上述兩者所有的數據庫引擎不一樣
2、導入pom依賴
<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> <!--quartz需要使用C3P0連接池將數據持久化到數據庫--> <!--Quartz各版本數據庫連接池技術更新情況--> <!--Quartz 2.0 以前 DBCP--> <!--Quartz 2.0 以后 C3P0(包含2.0)--> <dependency> <groupId>com.mchange</groupId> <artifactId>c3p0</artifactId> <version>0.9.5.2</version> </dependency> 更換成Druid連接池 引入依賴 <dependency> <groupId>com.alibaba</groupId> <artifactId>druid-spring-boot-starter</artifactId> <version>1.1.10</version> </dependency> 導入DruidConnectionProvider.java 修改quartz.properties配置 #配置數據庫源 org.quartz.dataSource.qzDS.connectionProvider.class: com.javaxl.項目名.util.DruidConnectionProvider
3、在項目中添加quartz.properties文件(這樣就不會加載自帶的properties文件)
此文件的內容主要分為:scheduler,ThreadPool,JobStore,plugin,Datasources等部分,
覆蓋properties文件的目的是覆蓋默認的數據源,更換為druid的數據配置


自定義MyJobFactory,解決spring不能在quartz中注入bean的問題
創建調度器schedule,交給spring進行管理
創建自定義任務
更新quartz中的任務
自定義任務表與quartz內置表的區分
要搞清楚一個問題:從數據庫讀取任務信息動態生成定時任務,和把quartz持久化到數據庫是沒有關系的。前者是我們自己定義的業務表,而后者是quartz使用自己的表來存儲信息。持久化到數據庫后,就算服務器重啟或是多個quartz節點也沒關系,因為他們共享數據庫中的任務信息。
自定義的業務表
-- 注意:job_name存放的任務類的全路徑,在quartz中通過jobName和jobGroup來確定trigger的唯一性,所以這兩列為聯合唯一索引
create table t_schedule_trigger
(
id int primary key auto_increment, -- ID
cron varchar(200) not null, -- 時間表達式
status char(1) not null, -- 使用狀態 0:禁用 1:啟用
job_name varchar(200) not null, -- 任務名稱
job_group varchar(200) not null, -- 任務分組
unique index(job_name,job_group)
);
-- 額外添加到任務中的參數
create table t_schedule_trigger_param
(
param_id int primary key auto_increment, -- ID
name varchar(200) not null, -- 參數名
value varchar(512), -- 參數值
schedule_trigger_id int not null, -- 外鍵:引用t_schedule_trigger(id)
foreign key(schedule_trigger_id) references t_schedule_trigger(id)
);
DruidConnectionProvider.java
package com.huang.quartz02.utils; 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連接池的Quartz擴展類] * * @ProjectName: [] * @Author: [xuguang] * @CreateDate: [2015/11/10 17:58] * @Update: [說明本次修改內容] BY[xuguang][2015/11/10] * @Version: [v1.0] */ public class DruidConnectionProvider implements ConnectionProvider { /* * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * 常量配置,與quartz.properties文件的key保持一致(去掉前綴),同時提供set方法,Quartz框架自動注入值。 * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ */ //JDBC驅動 public String driver; //JDBC連接串 public String URL; //數據庫用戶名 public String user; //數據庫用戶密碼 public String password; //數據庫最大連接數 public int maxConnection; //數據庫SQL查詢每次連接返回執行到連接池,以確保它仍然是有效的。 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連接池 private DruidDataSource datasource; /* * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * 接口實現 * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ */ 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 調度器屬性 #============================================================================ 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 #============================================================================ #存儲方式使用JobStoreTX,也就是數據庫 org.quartz.jobStore.class: org.quartz.impl.jdbcjobstore.JobStoreTX org.quartz.jobStore.driverDelegateClass:org.quartz.impl.jdbcjobstore.StdJDBCDelegate #使用自己的配置文件 org.quartz.jobStore.useProperties:true #數據庫中quartz表的表名前綴 org.quartz.jobStore.tablePrefix:qrtz_ org.quartz.jobStore.dataSource:qzDS #是否使用集群(如果項目只部署到 一台服務器,就不用了) org.quartz.jobStore.isClustered = true #============================================================================ # Configure Datasources #============================================================================ #配置數據庫源(org.quartz.dataSource.qzDS.maxConnections: c3p0配置的是有s的,druid數據源沒有s) org.quartz.dataSource.qzDS.connectionProvider.class:com.huang.quartz02.utils.DruidConnectionProvider org.quartz.dataSource.qzDS.driver: com.mysql.jdbc.Driver org.quartz.dataSource.qzDS.URL: jdbc:mysql://localhost:3306/huang?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.huang.quartz02.utils; 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 { //這個對象Spring會幫我們自動注入進來 @Autowired private AutowireCapableBeanFactory autowireCapableBeanFactory; //重寫創建Job任務的實例方法 @Override protected Object createJobInstance(TriggerFiredBundle bundle) throws Exception { Object jobInstance = super.createJobInstance(bundle); //通過以下方式,解決Job任務無法使用Spring中的Bean問題 autowireCapableBeanFactory.autowireBean(jobInstance); return super.createJobInstance(bundle); } }
QuartzConfiguration.java(quartz調度框架與spring框架整合的配置類,主要是要將org.quartz.Scheduler交給spring進行管理)
package com.huang.quartz02.config; import com.huang.quartz02.utils.MyJobFactory; 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; @Configuration public class QuartzConfiguration { @Autowired private MyJobFactory myJobFactory; //創建調度器工廠 @Bean public SchedulerFactoryBean schedulerFactoryBean(){ //1.創建SchedulerFactoryBean //2.加載自定義的quartz.properties配置文件 //3.設置MyJobFactory SchedulerFactoryBean factoryBean=new SchedulerFactoryBean(); try { factoryBean.setQuartzProperties(quartzProperties()); factoryBean.setJobFactory(myJobFactory); return factoryBean; } catch (IOException e) { throw new RuntimeException(e); } } @Bean public Properties quartzProperties() throws IOException { PropertiesFactoryBean propertiesFactoryBean=new PropertiesFactoryBean(); propertiesFactoryBean.setLocation(new ClassPathResource("/quartz.properties")); propertiesFactoryBean.afterPropertiesSet(); return propertiesFactoryBean.getObject(); } @Bean(name="scheduler") public Scheduler scheduler(){ return schedulerFactoryBean().getScheduler(); } }
案例中需要觀察表數據變化的表
-- 自定義的業務表 SELECT * FROM t_schedule_trigger; SELECT * FROM t_schedule_trigger_param; -- quartz調度框架自帶的表 SELECT * FROM qrtz_scheduler_state; SELECT * FROM qrtz_cron_triggers; SELECT * FROM qrtz_simple_triggers SELECT * FROM qrtz_triggers; SELECT * FROM qrtz_job_details;


創建springboot項目

pom依賴
<dependency> <groupId>org.quartz-scheduler</groupId> <artifactId>quartz-jobs</artifactId> <version>2.2.1</version> </dependency> <dependency> <groupId>com.alibaba</groupId> <artifactId>druid-spring-boot-starter</artifactId> <version>1.1.10</version> </dependency> <resources> <!--解決mybatis-generator-maven-plugin運行時沒有將XxxMapper.xml文件放入target文件夾的問題--> <resource> <directory>src/main/java</directory> <includes> <include>**/*.xml</include> </includes> </resource> <!--解決mybatis-generator-maven-plugin運行時沒有將jdbc.properites文件放入target文件夾的問題--> <resource> <directory>src/main/resources</directory> <includes> <include>*.properties</include> <include>*.xml</include> <include>*.yml</include> </includes> </resource> </resources> <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驅動 --> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <version>${mysql.version}</version> </dependency> </dependencies> <configuration> <overwrite>true</overwrite> </configuration> </plugin>
application.yml
server: servlet: context-path: / port: 8080 spring: datasource: #1.JDBC type: com.alibaba.druid.pool.DruidDataSource driver-class-name: com.mysql.jdbc.Driver url: jdbc:mysql://localhost:3306/huang?useUnicode=true&characterEncoding=utf8 username: root password: 123 druid: #2.連接池配置 #初始化連接池的連接數量 大小,最小,最大 initial-size: 5 min-idle: 5 max-active: 20 #配置獲取連接等待超時的時間 max-wait: 60000 #配置間隔多久才進行一次檢測,檢測需要關閉的空閑連接,單位是毫秒 time-between-eviction-runs-millis: 60000 # 配置一個連接在池中最小生存的時間,單位是毫秒 min-evictable-idle-time-millis: 30000 validation-query: SELECT 1 FROM DUAL test-while-idle: true test-on-borrow: true test-on-return: false # 是否緩存preparedStatement,也就是PSCache 官方建議MySQL下建議關閉 個人建議如果想用SQL防火牆 建議打開 pool-prepared-statements: true max-pool-prepared-statement-per-connection-size: 20 # 配置監控統計攔截的filters,去掉后監控界面sql無法統計,'wall'用於防火牆 filter: stat: merge-sql: true slow-sql-millis: 5000 #3.基礎監控配置 web-stat-filter: enabled: true url-pattern: /* #設置不統計哪些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 #設置監控頁面的登錄名和密碼 login-username: admin login-password: admin allow: 127.0.0.1 #deny: 192.168.1.100 #顯示日志 logging: level: com.huang.quartz02.mapper: debug
Quartz02Application.java
package com.huang.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; @MapperScan("com.huang.quartz02.mapper") @EnableTransactionManagement @EnableScheduling @SpringBootApplication 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"/> <!--指定數據庫jdbc驅動jar包的位置--> <classPathEntry location="F:\\initPath\\mvn_repository\\mysql\\mysql-connector-java\\5.1.44\\mysql-connector-java-5.1.44.jar"/> <!-- 一個數據庫一個context --> <context id="infoGuardian"> <!-- 注釋 --> <commentGenerator> <property name="suppressAllComments" value="true"/><!-- 是否取消注釋 --> <property name="suppressDate" value="true"/> <!-- 是否生成注釋代時間戳 --> </commentGenerator> <!-- jdbc連接 --> <jdbcConnection driverClass="${jdbc.driver}" connectionURL="${jdbc.url}" userId="${jdbc.username}" password="${jdbc.password}"/> <!-- 類型轉換 --> <javaTypeResolver> <!-- 是否使用bigDecimal, false可自動轉化以下類型(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:指定在該項目下所在的路徑 --> <javaModelGenerator targetPackage="com.huang.quartz02.model" targetProject="src/main/java"> <!-- 是否允許子包,即targetPackage.schemaName.tableName --> <property name="enableSubPackages" value="false"/> <!-- 是否對model添加構造函數 --> <property name="constructorBased" value="true"/> <!-- 是否針對string類型的字段在set的時候進行trim調用 --> <property name="trimStrings" value="false"/> <!-- 建立的Model對象是否 不可改變 即生成的Model對象不會有 setter方法,只有構造方法 --> <property name="immutable" value="false"/> </javaModelGenerator> <!-- 02 指定sql映射文件生成的位置 --> <sqlMapGenerator targetPackage="com.huang.quartz02.mapper" targetProject="src/main/java"> <!-- 是否允許子包,即targetPackage.schemaName.tableName --> <property name="enableSubPackages" value="false"/> </sqlMapGenerator> <!-- 03 生成XxxMapper接口 --> <!-- type="ANNOTATEDMAPPER",生成Java Model 和基於注解的Mapper對象 --> <!-- type="MIXEDMAPPER",生成基於注解的Java Model 和相應的Mapper對象 --> <!-- type="XMLMAPPER",生成SQLMap XML文件和獨立的Mapper接口 --> <javaClientGenerator targetPackage="com.huang.quartz02.mapper" targetProject="src/main/java" type="XMLMAPPER"> <!-- 是否在當前路徑下新加一層schema,false路徑com.oop.eksp.user.model, true:com.oop.eksp.user.model.[schemaName] --> <property name="enableSubPackages" value="false"/> </javaClientGenerator> <!-- 配置表信息 --> <table schema="" tableName="t_schedule_trigger" domainObjectName="ScheduleTrigger" enableCountByExample="false" enableDeleteByExample="false" enableSelectByExample="false" enableUpdateByExample="false"> <property name="useActualColumnNames" value="true" /> </table> <table schema="" tableName="t_schedule_trigger_param" domainObjectName="ScheduleTriggerParam" enableCountByExample="false" enableDeleteByExample="false" enableSelectByExample="false" enableUpdateByExample="false"> <property name="useActualColumnNames" value="true" /> </table> </context> </generatorConfiguration>
jdbc.properties
jdbc.driver=com.mysql.jdbc.Driver jdbc.url=jdbc:mysql://localhost:3306/huang?useUnicode=true&characterEncoding=UTF-8 jdbc.username=root jdbc.password=123
ScheduleTriggerMapper.java
/** * 查詢觸發器中包含的所有任務 * @return */ List<ScheduleTrigger> queryScheduleTriggerLst();
ScheduleTriggerParamMapper.java
/** * 查詢出當前任務類對應所需的參數 * @param triggerId * @return */ List<ScheduleTriggerParam> queryScheduleParamLst(Integer triggerId);
ScheduleTriggerMapper.xml
<select id="queryScheduleTriggerLst" resultType="com.huang.quartz02.model.ScheduleTrigger"> select <include refid="Base_Column_List"/> from t_schedule_trigger </select>
ScheduleTriggerParamMapper.xml
<select id="queryScheduleParamLst" resultType="com.huang.quartz02.model.ScheduleTriggerParam"> select <include refid="Base_Column_List"/> from t_schedule_trigger_param where schedule_trigger_id=#{triggerId} </select>
ScheduleTriggerParamServiceImpl.java
package com.huang.quartz02.service.impl; import com.huang.quartz02.mapper.ScheduleTriggerParamMapper; import com.huang.quartz02.model.ScheduleTriggerParam; import com.huang.quartz02.service.ScheduleTriggerParamService; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.stereotype.Service; import java.util.List; /** * @auther 宇晨 * @company * @create 2019-12-02-23:16 */ @Service public class ScheduleTriggerParamServiceImpl implements ScheduleTriggerParamService { @Autowired private ScheduleTriggerParamMapper scheduleTriggerParamMapper; @Override public List<ScheduleTriggerParam> queryScheduleParamLst(Integer triggerId) { return scheduleTriggerParamMapper.queryScheduleParamLst(triggerId); } }
spring自帶定時任務作業類ScheduleTriggerServiceImpl.java
package com.huang.quartz02.service.impl; import com.huang.quartz02.mapper.ScheduleTriggerMapper; import com.huang.quartz02.mapper.ScheduleTriggerParamMapper; import com.huang.quartz02.model.ScheduleTrigger; import com.huang.quartz02.model.ScheduleTriggerParam; 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 ScheduleTriggerServiceImpl { @Autowired private ScheduleTriggerMapper scheduleTriggerMapper; @Autowired private ScheduleTriggerParamMapper scheduleTriggerParamMapper; @Autowired private Scheduler scheduler; @Scheduled(cron = "0/10 * * * * ?") public void refreshScheduler(){ try { List<ScheduleTrigger> scheduleTriggers = scheduleTriggerMapper.queryScheduleTriggerLst(); if(null!=scheduleTriggers){ for (ScheduleTrigger scheduleTrigger : scheduleTriggers) { String cron = scheduleTrigger.getCron(); //表達式 String jobName = scheduleTrigger.getJob_name(); //任務名稱 String jobGroup = scheduleTrigger.getJob_group(); //任務分組 String status = scheduleTrigger.getStatus(); //任務狀態 //JobName+JobGroup=Primary Key //根據jobName和jobGroup生成TriggerKey TriggerKey triggerKey = TriggerKey.triggerKey(jobName, jobGroup); //根據TriggerKey到Scheduler調度器中獲取觸發器,是從quartz自帶的表中讀取數據 CronTrigger cronTrigger = (CronTrigger) scheduler.getTrigger(triggerKey); if(null==cronTrigger){ if(status.equals("0")) continue; System.out.println("創建調度器"); //創建任務詳情 JobDetail jobDetail= JobBuilder.newJob((Class<? extends Job>) Class.forName(jobName)) .withIdentity(jobName,jobGroup) .build(); //往Job任務中傳遞參數 JobDataMap jobDataMap = jobDetail.getJobDataMap(); List<ScheduleTriggerParam> params = scheduleTriggerParamMapper.queryScheduleParamLst(scheduleTrigger.getId()); for (ScheduleTriggerParam param : params) { jobDataMap.put(param.getName(),param.getValue()); } //創建表達式調度器,將自定定義的任務表數據同步到quartz內置表中 CronScheduleBuilder cronSchedule = CronScheduleBuilder.cronSchedule(cron); //創建Trigger cronTrigger=TriggerBuilder.newTrigger() .withIdentity(jobName,jobGroup) .withSchedule(cronSchedule) .build(); //將jobDetail和Trigger注入到scheduler調度器中 scheduler.scheduleJob(jobDetail,cronTrigger); }else{ System.err.println("Quartz 調度任務中已存在該任務"); if(status.equals("0")){ JobKey jobKey = JobKey.jobKey(jobName, jobGroup); scheduler.deleteJob(jobKey); continue; } //調度器中的表達式 String cronExpression = cronTrigger.getCronExpression(); if(!cron.equals(cronExpression)){ //創建表達式調度器 CronScheduleBuilder cronSchedule = CronScheduleBuilder.cronSchedule(cron); //重構 cronTrigger=cronTrigger.getTriggerBuilder() .withIdentity(triggerKey) .withSchedule(cronSchedule) .build(); //刷新調度器 scheduler.rescheduleJob(triggerKey,cronTrigger); } } } } } catch (Exception e) { e.printStackTrace(); } } }
讀取數據庫中表達式啟動定時任務
數據庫表t_schedule_trigger配置

MyJob.java
package com.huang.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 { @Override public void execute(JobExecutionContext jobExecutionContext) throws JobExecutionException { System.out.println("MyJob是一個空的任務計划,時間:"+new Date().toLocaleString()); } }

Spring自帶定時任務每10s執行一次,查詢自定義觸發器表,獲取到具體的作業類及任務表達式,quartz的任務為每5s執行一次,所以打印如上
更改定時任務狀態
更改數據庫調度器表t_schedule_trigger的state狀態

當禁用該觸發器時,那么程序只會執行spring自帶的定時任務,每10s執行一次查詢,所以打印語句如上
定時任務中攜帶參數
t_schedule_trigger

t_schedule_trigger_param

MyJob1.java
package com.huang.quartz02.quartz; import com.huang.quartz02.service.ScheduleTriggerParamService; import org.quartz.*; import org.springframework.beans.factory.annotation.Autowired; import java.util.Date; /** * @auther 宇晨 * @company * @create 2019-12-03-1:12 */ public class MyJob1 implements Job { @Autowired private ScheduleTriggerParamService scheduleTriggerParamService; @Override public void execute(JobExecutionContext jobExecutionContext) throws JobExecutionException { JobDetail jobDetail = jobExecutionContext.getJobDetail(); JobDataMap jobDataMap = jobDetail.getJobDataMap(); System.out.println(new Date().toLocaleString()+"-->攜帶參數個數:"+jobDataMap.size()); } }

程序執行spring自帶的定時任務,每10s執行一次查詢,查詢t_schedule_trigger表,調度器表中有兩個調度器,都是每5s執行一次,其中一個調度器是需要攜帶參數的,攜帶的參數在t_schedule_trigger_param表中,所以一開始調度器啟動的時候需要查詢t_schedule_trigger_param表數據,最終打印語句如上。
更改定時任務規則
MyJob2.java
package com.huang.quartz02.quartz; import org.quartz.*; import java.util.Date; /** * @auther 宇晨 * @company * @create 2019-12-03-1:21 */ 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()+"-->MyJob2參數傳遞name="+jobDataMap.get("name")+",score="+ jobDataMap.get("score")); } }

程序執行spring自帶的定時任務,每10s執行一次查詢,查詢t_schedule_trigger表,將任務3的表達式由0/3 * * * * ?改成0/20 * * * * ?,最終結果如上
