SpringBoot+Quartz+數據庫存儲

Spring整合Quartz

a、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

<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

   A、 引入依賴

   <dependency>
	<groupId>com.alibaba</groupId>
	<artifactId>druid-spring-boot-starter</artifactId>
	<version>1.1.10</version>
   </dependency>

   B、 導入DruidConnectionProvider.java

C、修改quartz.properties配置

#配置數據庫源
org.quartz.dataSource.qzDS.connectionProvider.class:
com.lingerqi.項目名.util.DruidConnectionProvider

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

 

#
#============================================================================
# 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.lingerqi.quartz02.utils.DruidConnectionProvider
org.quartz.dataSource.qzDS.driver: com.mysql.jdbc.Driver
org.quartz.dataSource.qzDS.URL: jdbc:mysql://localhost:3306/mybatis_ssm?useUnicode=true&characterEncoding=utf8
org.quartz.dataSource.qzDS.user: root
org.quartz.dataSource.qzDS.password: 123
org.quartz.dataSource.qzDS.maxConnection: 10

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)
);

 

　　

package com.lingerqi.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;
    }
}

　　

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.lingerqi.quartz02.config;

import com.lingerqi.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>

 

　　配置application.yml

server:
  servlet:
    context-path: /
  port: 80
spring:
  datasource:
    #1.JDBC
    type: com.alibaba.druid.pool.DruidDataSource
    driver-class-name: com.mysql.jdbc.Driver
    url: jdbc:mysql://localhost:3306/mybatis_ssm?useUnicode=true&characterEncoding=utf8
    username: root
    password: 123
    druid:
      #2.\u8FDE\u63A5\u6C60\u914D\u7F6E
      #\u521D\u59CB\u5316\u8FDE\u63A5\u6C60\u7684\u8FDE\u63A5\u6570\u91CF \u5927\u5C0F\uFF0C\u6700\u5C0F\uFF0C\u6700\u5927
      initial-size: 5
      min-idle: 5
      max-active: 20
      #\u914D\u7F6E\u83B7\u53D6\u8FDE\u63A5\u7B49\u5F85\u8D85\u65F6\u7684\u65F6\u95F4
      max-wait: 60000
      #\u914D\u7F6E\u95F4\u9694\u591A\u4E45\u624D\u8FDB\u884C\u4E00\u6B21\u68C0\u6D4B\uFF0C\u68C0\u6D4B\u9700\u8981\u5173\u95ED\u7684\u7A7A\u95F2\u8FDE\u63A5\uFF0C\u5355\u4F4D\u662F\u6BEB\u79D2
      time-between-eviction-runs-millis: 60000
      # \u914D\u7F6E\u4E00\u4E2A\u8FDE\u63A5\u5728\u6C60\u4E2D\u6700\u5C0F\u751F\u5B58\u7684\u65F6\u95F4\uFF0C\u5355\u4F4D\u662F\u6BEB\u79D2
      min-evictable-idle-time-millis: 30000
      validation-query: SELECT 1 FROM DUAL
      test-while-idle: true
      test-on-borrow: true
      test-on-return: false
      # \u662F\u5426\u7F13\u5B58preparedStatement\uFF0C\u4E5F\u5C31\u662FPSCache  \u5B98\u65B9\u5EFA\u8BAEMySQL\u4E0B\u5EFA\u8BAE\u5173\u95ED   \u4E2A\u4EBA\u5EFA\u8BAE\u5982\u679C\u60F3\u7528SQL\u9632\u706B\u5899 \u5EFA\u8BAE\u6253\u5F00
      pool-prepared-statements: true
      max-pool-prepared-statement-per-connection-size: 20
      # \u914D\u7F6E\u76D1\u63A7\u7EDF\u8BA1\u62E6\u622A\u7684filters\uFF0C\u53BB\u6389\u540E\u76D1\u63A7\u754C\u9762sql\u65E0\u6CD5\u7EDF\u8BA1\uFF0C'wall'\u7528\u4E8E\u9632\u706B\u5899
      filter:
        stat:
          merge-sql: true
          slow-sql-millis: 5000
      #3.\u57FA\u7840\u76D1\u63A7\u914D\u7F6E
      web-stat-filter:
        enabled: true
        url-pattern: /*
        #\u8BBE\u7F6E\u4E0D\u7EDF\u8BA1\u54EA\u4E9BURL
        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
        #\u8BBE\u7F6E\u76D1\u63A7\u9875\u9762\u7684\u767B\u5F55\u540D\u548C\u5BC6\u7801
        login-username: admin
        login-password: admin
        allow: 127.0.0.1
        #deny: 192.168.1.100

#\u663E\u793A\u65E5\u5FD7
logging:
  level:
    com.lingerqi.quartz02.mapper: debug　

Quartz02Application.java前面加上以下注解：

@MapperScan("com.lingerqi.quartz02.mapper")
@EnableTransactionManagement
@EnableScheduling
@SpringBootApplication

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="E:\mvn\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.lingerqi.quartz02.entity"
                            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.lingerqi.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.lingerqi.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 -->
        <!-- schema即為數據庫名 -->
        <!-- tableName為對應的數據庫表 -->
        <!-- domainObjectName是要生成的實體類 -->
        <!-- enable*ByExample是否生成 example類 -->
        <!--<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數據類型 –>-->
        <!--<!– <columnOverride column="LONG_VARCHAR_FIELD" jdbcType="VARCHAR" /> –>-->
        <!--</table>-->

        <!-- 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>

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);　

spring自帶定時任務作業類ScheduleTriggerServiceImpl.java

package com.lingerqi.quartz02.service.impl;

import com.lingerqi.quartz02.entity.ScheduleTrigger;
import com.lingerqi.quartz02.entity.ScheduleTriggerParam;
import com.lingerqi.quartz02.mapper.ScheduleTriggerMapper;
import com.lingerqi.quartz02.mapper.ScheduleTriggerParamMapper;
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
                    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
                        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.out.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.lingerqi.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

 

定時任務中攜帶參數

 

 

 MyJob1

@Component
@Slf4j
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

@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

 

 

 

 

 

 

 

 

@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()+"-->MyJob2參數傳遞name="+jobDataMap.get("name")+",score="+

                jobDataMap.get("score"));

    }

}