标签：autowired spring容器 col creat tco 配置使用 table tee eid
项目需要对接大数据平台,定时更新相关的统计数据
SpringBoot: 2.2.4.RELEASE
MySQL: 5.5.4
Quartz: 2.3.0
因为Quartz 集群依赖于数据库，所以必须首先创建Quartz数据库表。Quartz 包括了所有被支持的数据库平台的 SQL 脚本
-- ----------------------------
-- Table structure for QRTZ_BLOB_TRIGGERS
-- ----------------------------
DROP TABLE IF EXISTS `QRTZ_BLOB_TRIGGERS`;
CREATE TABLE `QRTZ_BLOB_TRIGGERS` (
`SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`TRIGGER_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`TRIGGER_GROUP` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`BLOB_DATA` blob NULL,
PRIMARY KEY (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) USING BTREE,
INDEX `SCHED_NAME`(`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) USING BTREE,
CONSTRAINT `QRTZ_BLOB_TRIGGERS_ibfk_1` FOREIGN KEY (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) REFERENCES `QRTZ_TRIGGERS` (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) ON DELETE RESTRICT ON UPDATE RESTRICT
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for QRTZ_CALENDARS
-- ----------------------------
DROP TABLE IF EXISTS `QRTZ_CALENDARS`;
CREATE TABLE `QRTZ_CALENDARS` (
`SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`CALENDAR_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`CALENDAR` blob NOT NULL,
PRIMARY KEY (`SCHED_NAME`, `CALENDAR_NAME`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for QRTZ_CRON_TRIGGERS
-- ----------------------------
DROP TABLE IF EXISTS `QRTZ_CRON_TRIGGERS`;
CREATE TABLE `QRTZ_CRON_TRIGGERS` (
`SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`TRIGGER_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`TRIGGER_GROUP` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`CRON_EXPRESSION` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`TIME_ZONE_ID` varchar(80) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
PRIMARY KEY (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) USING BTREE,
CONSTRAINT `QRTZ_CRON_TRIGGERS_ibfk_1` FOREIGN KEY (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) REFERENCES `QRTZ_TRIGGERS` (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) ON DELETE RESTRICT ON UPDATE RESTRICT
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for QRTZ_FIRED_TRIGGERS
-- ----------------------------
DROP TABLE IF EXISTS `QRTZ_FIRED_TRIGGERS`;
CREATE TABLE `QRTZ_FIRED_TRIGGERS` (
`SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`ENTRY_ID` varchar(95) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`TRIGGER_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`TRIGGER_GROUP` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`INSTANCE_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`FIRED_TIME` bigint(13) NOT NULL,
`SCHED_TIME` bigint(13) NOT NULL,
`PRIORITY` int(11) NOT NULL,
`STATE` varchar(16) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`JOB_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
`JOB_GROUP` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
`IS_NONCONCURRENT` varchar(1) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
`REQUESTS_RECOVERY` varchar(1) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
PRIMARY KEY (`SCHED_NAME`, `ENTRY_ID`) USING BTREE,
INDEX `IDX_QRTZ_FT_TRIG_INST_NAME`(`SCHED_NAME`, `INSTANCE_NAME`) USING BTREE,
INDEX `IDX_QRTZ_FT_INST_JOB_REQ_RCVRY`(`SCHED_NAME`, `INSTANCE_NAME`, `REQUESTS_RECOVERY`) USING BTREE,
INDEX `IDX_QRTZ_FT_J_G`(`SCHED_NAME`, `JOB_NAME`, `JOB_GROUP`) USING BTREE,
INDEX `IDX_QRTZ_FT_JG`(`SCHED_NAME`, `JOB_GROUP`) USING BTREE,
INDEX `IDX_QRTZ_FT_T_G`(`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) USING BTREE,
INDEX `IDX_QRTZ_FT_TG`(`SCHED_NAME`, `TRIGGER_GROUP`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for QRTZ_JOB_DETAILS
-- ----------------------------
DROP TABLE IF EXISTS `QRTZ_JOB_DETAILS`;
CREATE TABLE `QRTZ_JOB_DETAILS` (
`SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`JOB_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`JOB_GROUP` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`DESCRIPTION` varchar(250) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
`JOB_CLASS_NAME` varchar(250) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`IS_DURABLE` varchar(1) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`IS_NONCONCURRENT` varchar(1) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`IS_UPDATE_DATA` varchar(1) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`REQUESTS_RECOVERY` varchar(1) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`JOB_DATA` blob NULL,
PRIMARY KEY (`SCHED_NAME`, `JOB_NAME`, `JOB_GROUP`) USING BTREE,
INDEX `IDX_QRTZ_J_REQ_RECOVERY`(`SCHED_NAME`, `REQUESTS_RECOVERY`) USING BTREE,
INDEX `IDX_QRTZ_J_GRP`(`SCHED_NAME`, `JOB_GROUP`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for QRTZ_LOCKS
-- ----------------------------
DROP TABLE IF EXISTS `QRTZ_LOCKS`;
CREATE TABLE `QRTZ_LOCKS` (
`SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`LOCK_NAME` varchar(40) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
PRIMARY KEY (`SCHED_NAME`, `LOCK_NAME`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for QRTZ_PAUSED_TRIGGER_GRPS
-- ----------------------------
DROP TABLE IF EXISTS `QRTZ_PAUSED_TRIGGER_GRPS`;
CREATE TABLE `QRTZ_PAUSED_TRIGGER_GRPS` (
`SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`TRIGGER_GROUP` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
PRIMARY KEY (`SCHED_NAME`, `TRIGGER_GROUP`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for QRTZ_SCHEDULER_STATE
-- ----------------------------
DROP TABLE IF EXISTS `QRTZ_SCHEDULER_STATE`;
CREATE TABLE `QRTZ_SCHEDULER_STATE` (
`SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`INSTANCE_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`LAST_CHECKIN_TIME` bigint(13) NOT NULL,
`CHECKIN_INTERVAL` bigint(13) NOT NULL,
PRIMARY KEY (`SCHED_NAME`, `INSTANCE_NAME`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for QRTZ_SIMPLE_TRIGGERS
-- ----------------------------
DROP TABLE IF EXISTS `QRTZ_SIMPLE_TRIGGERS`;
CREATE TABLE `QRTZ_SIMPLE_TRIGGERS` (
`SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`TRIGGER_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`TRIGGER_GROUP` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`REPEAT_COUNT` bigint(7) NOT NULL,
`REPEAT_INTERVAL` bigint(12) NOT NULL,
`TIMES_TRIGGERED` bigint(10) NOT NULL,
PRIMARY KEY (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) USING BTREE,
CONSTRAINT `QRTZ_SIMPLE_TRIGGERS_ibfk_1` FOREIGN KEY (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) REFERENCES `QRTZ_TRIGGERS` (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) ON DELETE RESTRICT ON UPDATE RESTRICT
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for QRTZ_SIMPROP_TRIGGERS
-- ----------------------------
DROP TABLE IF EXISTS `QRTZ_SIMPROP_TRIGGERS`;
CREATE TABLE `QRTZ_SIMPROP_TRIGGERS` (
`SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`TRIGGER_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`TRIGGER_GROUP` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`STR_PROP_1` varchar(512) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
`STR_PROP_2` varchar(512) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
`STR_PROP_3` varchar(512) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
`INT_PROP_1` int(11) NULL DEFAULT NULL,
`INT_PROP_2` int(11) NULL DEFAULT NULL,
`LONG_PROP_1` bigint(20) NULL DEFAULT NULL,
`LONG_PROP_2` bigint(20) NULL DEFAULT NULL,
`DEC_PROP_1` decimal(13, 4) NULL DEFAULT NULL,
`DEC_PROP_2` decimal(13, 4) NULL DEFAULT NULL,
`BOOL_PROP_1` varchar(1) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
`BOOL_PROP_2` varchar(1) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
PRIMARY KEY (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) USING BTREE,
CONSTRAINT `QRTZ_SIMPROP_TRIGGERS_ibfk_1` FOREIGN KEY (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) REFERENCES `QRTZ_TRIGGERS` (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) ON DELETE RESTRICT ON UPDATE RESTRICT
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for QRTZ_TRIGGERS
-- ----------------------------
DROP TABLE IF EXISTS `QRTZ_TRIGGERS`;
CREATE TABLE `QRTZ_TRIGGERS` (
`SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`TRIGGER_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`TRIGGER_GROUP` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`JOB_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`JOB_GROUP` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`DESCRIPTION` varchar(250) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
`NEXT_FIRE_TIME` bigint(13) NULL DEFAULT NULL,
`PREV_FIRE_TIME` bigint(13) NULL DEFAULT NULL,
`PRIORITY` int(11) NULL DEFAULT NULL,
`TRIGGER_STATE` varchar(16) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`TRIGGER_TYPE` varchar(8) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`START_TIME` bigint(13) NOT NULL,
`END_TIME` bigint(13) NULL DEFAULT NULL,
`CALENDAR_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
`MISFIRE_INSTR` smallint(2) NULL DEFAULT NULL,
`JOB_DATA` blob NULL,
PRIMARY KEY (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) USING BTREE,
INDEX `IDX_QRTZ_T_J`(`SCHED_NAME`, `JOB_NAME`, `JOB_GROUP`) USING BTREE,
INDEX `IDX_QRTZ_T_JG`(`SCHED_NAME`, `JOB_GROUP`) USING BTREE,
INDEX `IDX_QRTZ_T_C`(`SCHED_NAME`, `CALENDAR_NAME`) USING BTREE,
INDEX `IDX_QRTZ_T_G`(`SCHED_NAME`, `TRIGGER_GROUP`) USING BTREE,
INDEX `IDX_QRTZ_T_STATE`(`SCHED_NAME`, `TRIGGER_STATE`) USING BTREE,
INDEX `IDX_QRTZ_T_N_STATE`(`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`, `TRIGGER_STATE`) USING BTREE,
INDEX `IDX_QRTZ_T_N_G_STATE`(`SCHED_NAME`, `TRIGGER_GROUP`, `TRIGGER_STATE`) USING BTREE,
INDEX `IDX_QRTZ_T_NEXT_FIRE_TIME`(`SCHED_NAME`, `NEXT_FIRE_TIME`) USING BTREE,
INDEX `IDX_QRTZ_T_NFT_ST`(`SCHED_NAME`, `TRIGGER_STATE`, `NEXT_FIRE_TIME`) USING BTREE,
INDEX `IDX_QRTZ_T_NFT_MISFIRE`(`SCHED_NAME`, `MISFIRE_INSTR`, `NEXT_FIRE_TIME`) USING BTREE,
INDEX `IDX_QRTZ_T_NFT_ST_MISFIRE`(`SCHED_NAME`, `MISFIRE_INSTR`, `NEXT_FIRE_TIME`, `TRIGGER_STATE`) USING BTREE,
INDEX `IDX_QRTZ_T_NFT_ST_MISFIRE_GRP`(`SCHED_NAME`, `MISFIRE_INSTR`, `NEXT_FIRE_TIME`, `TRIGGER_GROUP`, `TRIGGER_STATE`) USING BTREE,
CONSTRAINT `QRTZ_TRIGGERS_ibfk_1` FOREIGN KEY (`SCHED_NAME`, `JOB_NAME`, `JOB_GROUP`) REFERENCES `QRTZ_JOB_DETAILS` (`SCHED_NAME`, `JOB_NAME`, `JOB_GROUP`) ON DELETE RESTRICT ON UPDATE RESTRICT
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
<!--Spring Boot 整合 Quartz 实现定时任务 -->
<dependency>
<groupId>org.quartz-scheduler</groupId>
<artifactId>quartz</artifactId>
<version>2.3.0</version>
</dependency>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-context-support</artifactId>
<version>5.2.5.RELEASE</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.1.21</version>
</dependency>
这里要注意,使用分布式集群跑定时,需要使用到db持久化,所以需要所有的节点共享一个数据源.
#============================================================================
# Configure JobStore
# Using Spring datasource in SchedulerConfig.java
# Spring uses LocalDataSourceJobStore extension of JobStoreCMT
#============================================================================
org.quartz.jobStore.useProperties=false
#表名的前缀
org.quartz.jobStore.tablePrefix = QRTZ_
#isClustered 属性为 true，你就告诉了 Scheduler 实例要它参与到一个集群当中
org.quartz.jobStore.isClustered = true
#clusterCheckinInterval 属性定义了Scheduler 实例检入到数据库中的频率(单位：毫秒),默认值是 15000
org.quartz.jobStore.clusterCheckinInterval = 3000
org.quartz.jobStore.misfireThreshold = 60000
org.quartz.jobStore.txIsolationLevelReadCommitted = true
#class属性为 JobStoreTX，将任务持久化到数据中。quartz依赖于数据库查询任务状态
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
#============================================================================
#instanceName属性可为任何值，用在 JDBC JobStore 中来唯一标识实例，但是所有集群节点中必须相同。
org.quartz.scheduler.instanceName = ClusterQuartz
#instanceId 属性为 AUTO即可，基于主机名和时间戳来产生实例 ID
org.quartz.scheduler.instanceId= AUTO
org.quartz.scheduler.rmi.export = false
org.quartz.scheduler.rmi.proxy = false
org.quartz.scheduler.wrapJobExecutionInUserTransaction = false
#============================================================================
# Configure ThreadPool
# Can also be configured in spring configuration
# 此处使用的java的线程池
#============================================================================
#org.quartz.threadPool.class = org.quartz.simpl.SimpleThreadPool
#org.quartz.threadPool.threadCount = 5
#org.quartz.threadPool.threadPriority = 5
#org.quartz.threadPool.threadsInheritContextClassLoaderOfInitializingThread = true
package com.zkml.reception.config;
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;
/**
* @Author: Luzy
* @Date: 2020-07-06 11:06
* @Description: 自定义jobFactory
*/
@Component
public class SpringJobFactory extends AdaptableJobFactory {
@Autowired
private AutowireCapableBeanFactory capableBeanFactory;
@Override
protected Object createJobInstance(TriggerFiredBundle bundle) throws Exception {
Object jobInstance = super.createJobInstance(bundle);
capableBeanFactory.autowireBean(jobInstance);
return jobInstance;
}
}
说明:
若不自定义jobFactory, 后面在定时任务的job中进行属性注入的时候就会发现所有的对象都无法使用Autowired进行注入,会有空指针异常抛出
原因
Quartz初始化是自己的JobContext，不同于Spring的ApplicationContext，所以无法直接注入，导致使用时产生空指针异常！
版本也有关系: spring3.1以下的版本必须使用quartz1.x系列，3.1以上的版本才支持quartz 2.x，不然会出错。至于原因，则是spring对于quartz的支持实现org.springframework.scheduling.quartz.CronTriggerBean继承了org.quartz.CronTrigger，在quartz1.x系列中org.quartz.CronTrigger是个类，而在quartz2.x系列中org.quartz.CronTrigger变成了接口，从而造成无法用spring的方式配置quartz的触发器（trigger）
package com.zkml.reception.config;
import com.alibaba.druid.pool.DruidDataSource;
import com.zkml.reception.jobs.StatisticsJob;
import org.quartz.JobKey;
import org.quartz.Scheduler;
import org.quartz.TriggerKey;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
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.concurrent.ThreadPoolTaskExecutor;
import org.springframework.scheduling.quartz.CronTriggerFactoryBean;
import org.springframework.scheduling.quartz.JobDetailFactoryBean;
import org.springframework.scheduling.quartz.SchedulerFactoryBean;
import javax.sql.DataSource;
import java.io.IOException;
import java.util.Properties;
import java.util.concurrent.Executor;
/**
*
* @Author: Luzy
* @Date: 2020-07-06 16:05:53
* @Description: 分布式定时器配置类
**/
@Configuration
public class TaskConfig {
/** 定义集群中job所属组*/
private static final String JOB_DEFAULT_GROUP_NAME = "JOB_STATISTICS_GROUP";
/** 定义集群中trigger所属组*/
private static final String TRIGGER_DEFAULT_GROUP_NAME = "TRIGGER_STATISTICS_GROUP";
@Value("${spring.datasource.dynamic.datasource.master.url}")
private String url;
@Value("${spring.datasource.dynamic.datasource.master.username}")
private String username;
@Value("${spring.datasource.dynamic.datasource.master.password}")
private String password;
@Value("${spring.datasource.dynamic.datasource.master.driver-class-name}")
private String driver;
@Value("${corn.expression}")
private String corn;
@Autowired
private SpringJobFactory springJobFactory;
//开启当前的任务调度器
@Bean
public Scheduler scheduler() throws Exception {
Scheduler scheduler = schedulerFactoryBean().getScheduler();
/* TriggerKey triggerKey1 = TriggerKey.triggerKey("trigger1", "TriggerTest11111");
*//*========如果有必要可以配置删除任务,开始====================*//*
//停止触发器
scheduler.pauseTrigger(triggerKey1);
//移除触发器
scheduler.unscheduleJob(triggerKey1);
JobKey jobKey1 = JobKey.jobKey(" ------", "quartzTest--------");
//删除任务
boolean b = scheduler.deleteJob(jobKey1);
System.out.println(b);
*//*=========结束====================*/
scheduler.start();
return scheduler;
}
//配置数据源
//这里可以不使用@Bean交给spring管理,否则可能出现默认数据源的问题.
//@Bean
public DataSource druidDataSource() {
DruidDataSource dataSource = new DruidDataSource();
dataSource.setUrl(url);
dataSource.setUsername(username);
dataSource.setPassword(password);
dataSource.setDriverClassName(driver);
return dataSource;
}
//配置quartz配置文件
@Bean
public Properties quartzProperties() throws IOException {
PropertiesFactoryBean propertiesFactoryBean = new PropertiesFactoryBean();
propertiesFactoryBean.setLocation(new ClassPathResource("/quartz.properties"));
// 在quartz.properties中的属性被读取并注入后再初始化对象
propertiesFactoryBean.afterPropertiesSet();
return propertiesFactoryBean.getObject();
}
//配置定时任务
@Bean
public JobDetailFactoryBean job() {
JobDetailFactoryBean jobDetail = new JobDetailFactoryBean();
//配置任务的具体实现
jobDetail.setJobClass(StatisticsJob.class);
//是否持久化
jobDetail.setDurability(true);
//出现异常是否重新执行
jobDetail.setRequestsRecovery(true);
//配置定时任务信息
jobDetail.setGroup(JOB_DEFAULT_GROUP_NAME);
jobDetail.setName("大数据统计定时任务");
jobDetail.setDescription("公务接待数据可视化分析统计");
return jobDetail;
}
//配置任务定时规则
@Bean
public CronTriggerFactoryBean trigger() {
CronTriggerFactoryBean cronTrigger = new CronTriggerFactoryBean();
cronTrigger.setGroup(TRIGGER_DEFAULT_GROUP_NAME);
cronTrigger.setName("大数据统计定时器规则");
cronTrigger.setJobDetail(job().getObject());
cronTrigger.setCronExpression(corn);
return cronTrigger;
}
//配置任务调度工厂,用来生成任务调度器,这是quartz的核心
@Bean
public SchedulerFactoryBean schedulerFactoryBean() throws IOException {
SchedulerFactoryBean factory = new SchedulerFactoryBean();
//将自定义的MyJobFactory注入配置类,并添加如下配置,
//配置使用spring的autowired的对象,在job中进行对象的注入
factory.setJobFactory(springJobFactory);
//设置延时启动,保证job中的属性的注入
factory.setStartupDelay(5);
//开启更新job
factory.setOverwriteExistingJobs(true);
//如果不配置就会使用quartz.properties中的instanceName
factory.setSchedulerName("Statistics_Cluster_Scheduler");
//配置数据源,这是quartz使用的表的数据库存放位置
factory.setDataSource(druidDataSource());
//设置实例在spring容器中的key
factory.setApplicationContextSchedulerContextKey("applicationContext");
//配置线程池
factory.setTaskExecutor(schedulerThreadPool());
//配置配置文件
factory.setQuartzProperties(quartzProperties());
//配置任务执行规则,参数是一个可变数组
// factory.setTriggers(trigger1().getObject(),trigger2().getObject());
factory.setTriggers(trigger().getObject());
return factory;
}
//线程池配置
@Bean
public Executor schedulerThreadPool() {
ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
executor.setCorePoolSize(10);
executor.setMaxPoolSize(20);
executor.setQueueCapacity(50);
return executor;
}
}
定时任务需要实现job接口,但是quartz已经有了一个简单的抽象实现,简化了代码量.只需要直接继承即可
package com.zkml.reception.jobs;
import com.zkml.common.util.CopyUtil;
import com.zkml.reception.entity.PlanStaticLever;
import com.zkml.reception.entity.PlanStaticType;
import com.zkml.reception.entity.PlanStaticVisit;
import com.zkml.reception.entity.SettlementStatic;
import com.zkml.reception.response.StatisticsResponse;
import com.zkml.reception.service.*;
import com.zkml.reception.util.PrimaryKeyUtil;
import org.quartz.JobExecutionContext;
import org.quartz.JobExecutionException;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.scheduling.quartz.QuartzJobBean;
import org.springframework.stereotype.Component;
import org.springframework.util.StringUtils;
import java.util.Date;
import java.util.List;
/**
* @Author: Luzy
* @Date: 2020-07-06 15:36
* @Description: 大数据统计job
*/
@Component
public class StatisticsJob extends QuartzJobBean {
@Autowired
private PlanService planService;
@Autowired
private PlanStaticLeverService planStaticLeverService;
@Autowired
private SettlementStaticService settlementStaticService;
@Autowired
private PlanStaticTypeService planStaticTypeService;
@Autowired
private PlanStaticVisitService planStaticVisitService;
@Autowired
private SettlementService settlementService;
@Override
protected void executeInternal(JobExecutionContext jobExecutionContext) throws JobExecutionException {
System.out.println("***********StatisticsJob中的executeInternal方法执行了***********"+new Date());
// //公务接待任务次数
// List<Map<String, Object>> taskCountForCurrentMonth = planService.getTaskCountForCurrentMonth();
//
//各级来宾人数统计
List<StatisticsResponse.AllLevelPersons> planCountByReceptLevel = planService.getPlanCountByReceptLevel();
List<PlanStaticLever> planStaticLevers = CopyUtil.copyBeanList(planCountByReceptLevel, PlanStaticLever.class);
if (!StringUtils.isEmpty(planStaticLevers)){
planStaticLevers = PrimaryKeyUtil.guestStatistics(planStaticLevers);
planStaticLeverService.saveOrUpdateBatch(planStaticLevers);
}
//来访类型统计
List<StatisticsResponse.ClassifyByVisitType> countByVisitType = planService.getCountByVisitType();
List<PlanStaticVisit> planStaticVisits = CopyUtil.copyBeanList(countByVisitType, PlanStaticVisit.class);
if (!StringUtils.isEmpty(planStaticVisits)){
planStaticVisits = PrimaryKeyUtil.visitTypeStatistics(planStaticVisits);
planStaticVisitService.saveOrUpdateBatch(planStaticVisits);
}
//接待类型统计
List<StatisticsResponse.ClassifyByReceptLevel> planByReceptLevel = planService.getPlanByReceptLevel();
List<PlanStaticType> planStaticTypes = CopyUtil.copyBeanList(planByReceptLevel, PlanStaticType.class);
if (!StringUtils.isEmpty(planStaticTypes)){
planStaticTypes = PrimaryKeyUtil.receptionTypeStatistics(planStaticTypes);
planStaticTypeService.saveOrUpdateBatch(planStaticTypes);
}
//支出分类统计
List<StatisticsResponse.Expenditure> planCostsForCurrMonth = settlementService.getPlanCostsForCurrMonth();
List<SettlementStatic> settlementStatics = CopyUtil.copyBeanList(planCostsForCurrMonth, SettlementStatic.class);
if (!StringUtils.isEmpty(settlementStatics)){
settlementStatics = PrimaryKeyUtil.expenditureStatistics(settlementStatics);
settlementStaticService.saveOrUpdateBatch(settlementStatics);
}
}
}
这里我定时规则为每晚11点触发
application.yml部分
corn:
expression: 0 0 23 * * ?
标签：autowired spring容器 col creat tco 配置使用 table tee eid
原文地址：https://www.cnblogs.com/sanye613/p/quartz.html
