java定時任務調度的實現方式
Timer
這個相信大家都有用過,我也用過,但用的不多;
特點是:簡單易用,但由於所有任務都是由同一個線程來調度,因此所有任務都是串行執行的,同一時間只能有一個任務在執行,前一個任務的延遲或異常都將會影響到之后的任務;能實現簡單的定時任務,稍微復雜點(或要求高一些)的定時任務卻不好實現。
ScheduledExecutor
這個我相信大家也都用過,而且用的比Timer多;正是鑒於Timer的缺陷,Java 5推出了基於線程池設計的ScheduledExecutor;
特點:每一個被調度的任務都會由線程池中一個線程去執行,因此任務是並發執行的,相互之間不會受到干擾。需要注意的是,只有當任務的執行時間到來時,ScheduedExecutor 才會真正啟動一個線程,其余時間 ScheduledExecutor 都是在輪詢任務的狀態。
雖然用ScheduledExecutor和Calendar能夠實現復雜任務調度,但實現起來還是比較麻煩,對開發還是不夠友善。
Spring Scheduler
spring對任務調度的實現支持,可以指定任務的執行時間,但對任務隊列和線程池的管控較弱;一般集成於項目中,小任務很方便。
JCronTab
JCronTab則是一款完全按照crontab語法編寫的java任務調度工具。
特點:
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可指定任務的執行時間;
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提供完全按照Unix的UNIX-POSIX crontab的格式來規定時間;
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支持多種任務調度的持久化方法,包括普通文件、數據庫以及 XML 文件進行持久化;
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JCronTab內置了發郵件功能,可以將任務執行結果方便地發送給需要被通知的人;
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設計和部署是高性能並可擴展。
Quartz
本文主角,請往下看
當然還有XXL-JOB、Elastic-Job、Saturn等等
quartz相關概念
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Scheduler:調度器,進行任務調度;quartz的大腦
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Job:業務job,亦可稱業務組件;定時任務的具體執行業務需要實現此接口,調度器會調用此接口的execute方法完成我們的定時業務
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JobDetail:用來定義業務Job的實例,我們可以稱之為quartz job,很多時候我們談到的job指的是JobDetail
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Trigger:觸發器,用來定義一個指定的Job何時被執行
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JobBuilder:Job構建器,用來定義或創建JobDetail的實例;JobDetail限定了只能是Job的實例
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TriggerBuilder:觸發器構建器,用來定義或創建觸發器的實例
具體為什么要分這么細,大家可以去查閱下相關資料,你會發現很多東西。
工程實現
pom.xml
<?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 http://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>com.lee</groupId> <artifactId>spring-boot-quartz</artifactId> <version>1.0-SNAPSHOT</version> <properties> <java.version>1.8</java.version> <maven.compiler.source>1.8</maven.compiler.source> <maven.compiler.target>1.8</maven.compiler.target> <druid.version>1.1.10</druid.version> <pagehelper.version>1.2.5</pagehelper.version> <druid.version>1.1.10</druid.version> </properties> <parent> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-parent</artifactId> <version>2.0.3.RELEASE</version> </parent> <dependencies> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-thymeleaf</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-quartz</artifactId> </dependency> <dependency> <groupId>com.alibaba</groupId> <artifactId>druid-spring-boot-starter</artifactId> <version>${druid.version}</version> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> </dependency> <dependency> <groupId>com.github.pagehelper</groupId> <artifactId>pagehelper-spring-boot-starter</artifactId> <version>${pagehelper.version}</version> </dependency> <!-- 日志 --> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-logging</artifactId> <exclusions> <!-- 排除spring-boot-starter-logging中的全部依賴 --> <exclusion> <groupId>*</groupId> <artifactId>*</artifactId> </exclusion> </exclusions> <scope>test</scope> <!-- 打包的時候不打spring-boot-starter-logging.jar --> </dependency> <dependency> <groupId>ch.qos.logback</groupId> <artifactId>logback-classic</artifactId> </dependency> <dependency> <groupId>org.projectlombok</groupId> <artifactId>lombok</artifactId> <optional>true</optional> </dependency> </dependencies> <build> <finalName>spring-boot-quartz</finalName> <plugins> <!-- 打包項目 mvn clean package --> <plugin> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-maven-plugin</artifactId> </plugin> </plugins> </build> </project>
application.xml
server: port: 9001 servlet: context-path: /quartz spring: thymeleaf: mode: HTML cache: false #連接池配置 datasource: type: com.alibaba.druid.pool.DruidDataSource druid: driver-class-name: com.mysql.jdbc.Driver url: jdbc:mysql://localhost:3306/spring-boot-quartz?useSSL=false&useUnicode=true username: root password: 123456 initial-size: 1 #連接池初始大小 max-active: 20 #連接池中最大的活躍連接數 min-idle: 1 #連接池中最小的活躍連接數 max-wait: 60000 #配置獲取連接等待超時的時間 pool-prepared-statements: true #打開PSCache,並且指定每個連接上PSCache的大小 max-pool-prepared-statement-per-connection-size: 20 validation-query: SELECT 1 FROM DUAL validation-query-timeout: 30000 test-on-borrow: false #是否在獲得連接后檢測其可用性 test-on-return: false #是否在連接放回連接池后檢測其可用性 test-while-idle: true #是否在連接空閑一段時間后檢測其可用性 quartz: #相關屬性配置 properties: org: quartz: scheduler: instanceName: quartzScheduler instanceId: AUTO jobStore: class: org.quartz.impl.jdbcjobstore.JobStoreTX driverDelegateClass: org.quartz.impl.jdbcjobstore.StdJDBCDelegate tablePrefix: QRTZ_ isClustered: false clusterCheckinInterval: 10000 useProperties: false threadPool: class: org.quartz.simpl.SimpleThreadPool threadCount: 10 threadPriority: 5 threadsInheritContextClassLoaderOfInitializingThread: true #數據庫方式 job-store-type: JDBC #初始化表結構 jdbc: initialize-schema: NEVER #mybatis配置 mybatis: type-aliases-package: com.lee.quartz.entity mapper-locations: classpath:mybatis/mapper/*.xml #分頁配置, pageHelper是物理分頁插件 pagehelper: #4.0.0以后版本可以不設置該參數,該示例中是5.1.4 helper-dialect: mysql #啟用合理化,如果pageNum<1會查詢第一頁,如果pageNum>pages會查詢最后一頁 reasonable: true logging: level: com.lee.quartz.mapper: debug
這樣,quartz就配置好了,應用里面直接用即可
JobController.java
package com.lee.quartz.web; import com.github.pagehelper.PageInfo; import com.lee.quartz.common.Result; import com.lee.quartz.entity.QuartzJob; import com.lee.quartz.service.IJobService; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.web.bind.annotation.PostMapping; import org.springframework.web.bind.annotation.RequestMapping; import org.springframework.web.bind.annotation.RestController; @RestController @RequestMapping("/job") public class JobController { private final static Logger LOGGER = LoggerFactory.getLogger(JobController.class); @Autowired private IJobService jobService; @SuppressWarnings({ "unchecked", "rawtypes" }) @PostMapping("/add") public Result save(QuartzJob quartz){ LOGGER.info("新增任務"); Result result = jobService.saveJob(quartz); return result; } @PostMapping("/list") public PageInfo list(String jobName,Integer pageNo,Integer pageSize){ LOGGER.info("任務列表"); PageInfo pageInfo = jobService.listQuartzJob(jobName, pageNo, pageSize); return pageInfo; } @PostMapping("/trigger") public Result trigger(String jobName, String jobGroup) { LOGGER.info("觸發任務"); Result result = jobService.triggerJob(jobName, jobGroup); return result; } @PostMapping("/pause") public Result pause(String jobName, String jobGroup) { LOGGER.info("停止任務"); Result result = jobService.pauseJob(jobName, jobGroup); return result; } @PostMapping("/resume") public Result resume(String jobName, String jobGroup) { LOGGER.info("恢復任務"); Result result = jobService.resumeJob(jobName, jobGroup); return result; } @PostMapping("/remove") public Result remove(String jobName, String jobGroup) { LOGGER.info("移除任務"); Result result = jobService.removeJob(jobName, jobGroup); return result; } }
JobServiceImpl.java
package com.lee.quartz.service.impl; import com.github.pagehelper.PageHelper; import com.github.pagehelper.PageInfo; import com.lee.quartz.common.Result; import com.lee.quartz.entity.QuartzJob; import com.lee.quartz.mapper.JobMapper; import com.lee.quartz.service.IJobService; import org.quartz.*; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.stereotype.Service; import java.util.List; @Service public class JobServiceImpl implements IJobService { @Autowired private Scheduler scheduler; @Autowired private JobMapper jobMapper; @Override public PageInfo listQuartzJob(String jobName, Integer pageNum, Integer pageSize) { PageHelper.startPage(pageNum, pageSize); List<QuartzJob> jobList = jobMapper.listJob(jobName); PageInfo pageInfo = new PageInfo(jobList); return pageInfo; } @Override public Result saveJob(QuartzJob quartz){ try { //如果是修改 展示舊的 任務 if(quartz.getOldJobGroup() != null && !"".equals(quartz.getOldJobGroup())){ JobKey key = new JobKey(quartz.getOldJobName(),quartz.getOldJobGroup()); scheduler.deleteJob(key); } //構建job信息 Class cls = Class.forName(quartz.getJobClassName()) ; cls.newInstance(); JobDetail job = JobBuilder.newJob(cls).withIdentity(quartz.getJobName(), quartz.getJobGroup()) .withDescription(quartz.getDescription()).build(); // 觸發時間點 CronScheduleBuilder cronScheduleBuilder = CronScheduleBuilder.cronSchedule(quartz.getCronExpression().trim()); Trigger trigger = TriggerBuilder.newTrigger().withIdentity("trigger"+quartz.getJobName(), quartz.getJobGroup()) .startNow().withSchedule(cronScheduleBuilder).build(); //交由Scheduler安排觸發 scheduler.scheduleJob(job, trigger); } catch (Exception e) { e.printStackTrace(); return Result.error(); } return Result.ok(); } @Override public Result triggerJob(String jobName, String jobGroup) { JobKey key = new JobKey(jobName,jobGroup); try { scheduler.triggerJob(key); } catch (SchedulerException e) { e.printStackTrace(); return Result.error(); } return Result.ok(); } @Override public Result pauseJob(String jobName, String jobGroup) { JobKey key = new JobKey(jobName,jobGroup); try { scheduler.pauseJob(key); } catch (SchedulerException e) { e.printStackTrace(); return Result.error(); } return Result.ok(); } @Override public Result resumeJob(String jobName, String jobGroup) { JobKey key = new JobKey(jobName,jobGroup); try { scheduler.resumeJob(key); } catch (SchedulerException e) { e.printStackTrace(); return Result.error(); } return Result.ok(); } @Override public Result removeJob(String jobName, String jobGroup) { try { TriggerKey triggerKey = TriggerKey.triggerKey(jobName, jobGroup); // 停止觸發器 scheduler.pauseTrigger(triggerKey); // 移除觸發器 scheduler.unscheduleJob(triggerKey); // 刪除任務 scheduler.deleteJob(JobKey.jobKey(jobName, jobGroup)); System.out.println("removeJob:"+JobKey.jobKey(jobName)); } catch (Exception e) { e.printStackTrace(); return Result.error(); } return Result.ok(); } }
主要就是以上文件,詳情請查看spring-boot-quartz
https://gitee.com/youzhibing/spring-boot-2.0.3/tree/master/spring-boot-quartz
工程里面數據源用的druid,springboot默認也會將該數據源應用到quartz,如果想給quartz單獨配置數據源,可配合@QuartzDataSource來實現
最終效果如下
trigger狀態
org.quartz.impl.jdbcjobstore.Constants中存放了一些列的常量,源代碼如下
/* * All content copyright Terracotta, Inc., unless otherwise indicated. All rights reserved. * * Licensed under the Apache License, Version 2.0 (the "License"); you may not * use this file except in compliance with the License. You may obtain a copy * of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the * License for the specific language governing permissions and limitations * under the License. * */ package org.quartz.impl.jdbcjobstore; /** * <p> * This interface can be implemented by any <code>{@link * org.quartz.impl.jdbcjobstore.DriverDelegate}</code> * class that needs to use the constants contained herein. * </p> * * @author <a href="mailto:jeff@binaryfeed.org">Jeffrey Wescott</a> * @author James House */ public interface Constants { /* * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * Constants. * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ */ // Table names String TABLE_JOB_DETAILS = "JOB_DETAILS"; String TABLE_TRIGGERS = "TRIGGERS"; String TABLE_SIMPLE_TRIGGERS = "SIMPLE_TRIGGERS"; String TABLE_CRON_TRIGGERS = "CRON_TRIGGERS"; String TABLE_BLOB_TRIGGERS = "BLOB_TRIGGERS"; String TABLE_FIRED_TRIGGERS = "FIRED_TRIGGERS"; String TABLE_CALENDARS = "CALENDARS"; String TABLE_PAUSED_TRIGGERS = "PAUSED_TRIGGER_GRPS"; String TABLE_LOCKS = "LOCKS"; String TABLE_SCHEDULER_STATE = "SCHEDULER_STATE"; // TABLE_JOB_DETAILS columns names String COL_SCHEDULER_NAME = "SCHED_NAME"; String COL_JOB_NAME = "JOB_NAME"; String COL_JOB_GROUP = "JOB_GROUP"; String COL_IS_DURABLE = "IS_DURABLE"; String COL_IS_VOLATILE = "IS_VOLATILE"; String COL_IS_NONCONCURRENT = "IS_NONCONCURRENT"; String COL_IS_UPDATE_DATA = "IS_UPDATE_DATA"; String COL_REQUESTS_RECOVERY = "REQUESTS_RECOVERY"; String COL_JOB_DATAMAP = "JOB_DATA"; String COL_JOB_CLASS = "JOB_CLASS_NAME"; String COL_DESCRIPTION = "DESCRIPTION"; // TABLE_TRIGGERS columns names String COL_TRIGGER_NAME = "TRIGGER_NAME"; String COL_TRIGGER_GROUP = "TRIGGER_GROUP"; String COL_NEXT_FIRE_TIME = "NEXT_FIRE_TIME"; String COL_PREV_FIRE_TIME = "PREV_FIRE_TIME"; String COL_TRIGGER_STATE = "TRIGGER_STATE"; String COL_TRIGGER_TYPE = "TRIGGER_TYPE"; String COL_START_TIME = "START_TIME"; String COL_END_TIME = "END_TIME"; String COL_PRIORITY = "PRIORITY"; String COL_MISFIRE_INSTRUCTION = "MISFIRE_INSTR"; String ALIAS_COL_NEXT_FIRE_TIME = "ALIAS_NXT_FR_TM"; // TABLE_SIMPLE_TRIGGERS columns names String COL_REPEAT_COUNT = "REPEAT_COUNT"; String COL_REPEAT_INTERVAL = "REPEAT_INTERVAL"; String COL_TIMES_TRIGGERED = "TIMES_TRIGGERED"; // TABLE_CRON_TRIGGERS columns names String COL_CRON_EXPRESSION = "CRON_EXPRESSION"; // TABLE_BLOB_TRIGGERS columns names String COL_BLOB = "BLOB_DATA"; String COL_TIME_ZONE_ID = "TIME_ZONE_ID"; // TABLE_FIRED_TRIGGERS columns names String COL_INSTANCE_NAME = "INSTANCE_NAME"; String COL_FIRED_TIME = "FIRED_TIME"; String COL_SCHED_TIME = "SCHED_TIME"; String COL_ENTRY_ID = "ENTRY_ID"; String COL_ENTRY_STATE = "STATE"; // TABLE_CALENDARS columns names String COL_CALENDAR_NAME = "CALENDAR_NAME"; String COL_CALENDAR = "CALENDAR"; // TABLE_LOCKS columns names String COL_LOCK_NAME = "LOCK_NAME"; // TABLE_LOCKS columns names String COL_LAST_CHECKIN_TIME = "LAST_CHECKIN_TIME"; String COL_CHECKIN_INTERVAL = "CHECKIN_INTERVAL"; // MISC CONSTANTS String DEFAULT_TABLE_PREFIX = "QRTZ_"; // STATES String STATE_WAITING = "WAITING"; String STATE_ACQUIRED = "ACQUIRED"; String STATE_EXECUTING = "EXECUTING"; String STATE_COMPLETE = "COMPLETE"; String STATE_BLOCKED = "BLOCKED"; String STATE_ERROR = "ERROR"; String STATE_PAUSED = "PAUSED"; String STATE_PAUSED_BLOCKED = "PAUSED_BLOCKED"; String STATE_DELETED = "DELETED"; /** * @deprecated Whether a trigger has misfired is no longer a state, but * rather now identified dynamically by whether the trigger's next fire * time is more than the misfire threshold time in the past. */ String STATE_MISFIRED = "MISFIRED"; String ALL_GROUPS_PAUSED = "_$_ALL_GROUPS_PAUSED_$_"; // TRIGGER TYPES /** Simple Trigger type. */ String TTYPE_SIMPLE = "SIMPLE"; /** Cron Trigger type. */ String TTYPE_CRON = "CRON"; /** Calendar Interval Trigger type. */ String TTYPE_CAL_INT = "CAL_INT"; /** Daily Time Interval Trigger type. */ String TTYPE_DAILY_TIME_INT = "DAILY_I"; /** A general blob Trigger type. */ String TTYPE_BLOB = "BLOB"; } // EOF
里面有quartz的表名、各個表包含的列名、trigger狀態、trigger類型等內容。更多springboot內容,可以在Java知音公眾號回復“”springboot聚合。
狀態包括
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WAITING:等待中
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ACQUIRED:將觸發,此時還未到trigger真正的觸發時刻
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EXECUTING:觸發,亦可理解成執行中,trigger真正的觸發時刻
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COMPLETE:完成,不再觸發
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BLOCKED:受阻,不允許並發執行job時會出現(@DisallowConcurrentExecution)
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ERROR:出錯
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PAUSED:暫停中
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PAUSED_BLOCKED:暫停受阻,不允許並發執行job時會出現(@DisallowConcurrentExecution)
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DELETED:已刪除
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MISFIRED:觸發失敗,已棄用,有另外的替代方式
狀態變化流程圖如下所示
trigger的初始狀態是WAITING,處於WAITING狀態的trigger等待被觸發。調度線程會不停地掃triggers表,根據NEXT_FIRE_TIME提前拉取即將觸發的trigger,如果這個trigger被該調度線程拉取到,它的狀態就會變為ACQUIRED。
因為是提前拉取trigger,並未到達trigger真正的觸發時刻,所以調度線程會等到真正觸發的時刻,再將trigger狀態由ACQUIRED改為EXECUTING。如果這個trigger不再執行,就將狀態改為COMPLETE,否則為WAITING,開始新的周期。如果這個周期中的任何環節拋出異常,trigger的狀態會變成ERROR。如果手動暫停這個trigger,狀態會變成PAUSED。
總結
Quartz作為一個開源的作業調度框架,提供了巨大的靈活性而不犧牲簡單性。我們能夠用它來為執行一個作業而創建簡單的或復雜的調度。它有很多特征,如:數據庫、集群、插件、JavaMail支持,EJB作業預構建,支持cron-like表達式等等;
springboot集成quartz非常簡單,最簡單的情況下只需要引入依賴我們就可以享受quartz提供的功能,springboot默認會幫我們配置好quartz;當然我們也可以自定義配置來實現quartz的定制;
參考
https://www.ibm.com/developerworks/cn/java/j-lo-taskschedule/index.html
https://gitee.com/52itstyle/spring-boot-quartz
https://docs.spring.io/spring-boot/docs/2.0.3.RELEASE/reference/htmlsingle/#boot-features-quartz
https://xuzongbao.gitbooks.io/quartz/content/
https://segmentfault.com/a/1190000015492260
http://www.quartz-scheduler.org/documentation/faq.html