1、Spring整合Quartz
a、quartz调度框架是有内置表的,使用quartz就必须使用它的内置表,下载内置表在以下官网,自行下载
进入quartz的官网http://www.quartz-scheduler.org/,点击Downloads,
下载后在目录\docs\dbTables下有常用数据库创建quartz表的脚本,例如:“tables_mysql.sql”,我使用的MySQL,根据自己的版本来定
因为我创建的项目是springboot项目,在创建的时候quartz的pom依赖已经导入进来,但是它还缺少另外关于quartz的jar包,
<dependency>
<groupId>org.quartz-scheduler</groupId>
<artifactId>quartz-jobs</artifactId>
<version>2.2.1</version>
</dependency>
quartz默认使用的是C3P0连接池
quartz需要使用C3P0连接池将数据持久化到数据库
Quartz各版本数据库连接池技术更新情况
Quartz 2.0 以前 DBCP
Quartz 2.0 以后 C3P0(包含2.0)
我这里使用的Druid连接池,所以导入它的jar包
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifact Id>
<version>1.1.10</version>
</dependency>
c、在项目中添加quartz.properties文件(这样就不会加载自带的properties文件)
此文件的内容主要分为:scheduler,ThreadPool,JobStore,plugin,Datasources等部分,
覆盖properties文件的目的是覆盖默认的数据源,更换为druid的数据配置
#
#============================================================================
# Configure Main Scheduler Properties 调度器属性
#============================================================================
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
#============================================================================
#存储方式使用JobStoreTX,也就是数据库
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
#数据库中quartz表的表名前缀
org.quartz.jobStore.tablePrefix:qrtz_
org.quartz.jobStore.dataSource:qzDS
#是否使用集群(如果项目只部署到 一台服务器,就不用了)
org.quartz.jobStore.isClustered = true
#============================================================================
# Configure Datasources
#============================================================================
#配置数据库源(org.quartz.dataSource.qzDS.maxConnections: c3p0配置的是有s的,druid数据源没有s)
org.quartz.dataSource.qzDS.connectionProvider.class:com.javaxl.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: mybatis_ssm
org.quartz.dataSource.qzDS.password: xiaoli
org.quartz.dataSource.qzDS.maxConnection: 10
d、自定义MyJobFactory,解决spring不能在quartz中注入bean的问题
e、创建调度器schedule,交给spring进行管理
f、创建自定义任务
g、更新quartz中的任务
h、自定义任务表与quartz内置表的区分
要搞清楚一个问题:从数据库读取任务信息动态生成定时任务,和把quartz持久化到数据库是没有关系的。前者是我们自己定义的业务表,而后者是quartz使用自己的表来存储信息。持久化到数据库后,就算服务器重启或是多个quartz节点也没关系,因为他们共享数据库中的任务信息。
MyJobFactory
package com.tzp.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 {
//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 {
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 super.createJobInstance(bundle);
}
}
使用Druid它的数据源
DruidConnectionProvider
package com.tzp.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连接池的Quartz扩展类]
*
* @ProjectName: []
* @Author: [xuguang]
* @CreateDate: [2015/11/10 17:58]
* @Update: [说明本次修改内容] BY[xuguang][2015/11/10]
* @Version: [v1.0]
*/
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