原文地址:Spring Boot 整合 Quartz 实现定时工作
源码已上传至 Github:spring-boot-quartz
增加依赖
编辑文件 pom.xml
:
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-quartz</artifactId>
</dependency>
增加配置
编辑配置文件 application.yml
,增加以下配置:
spring:
quartz:
# 采纳数据库存储形式
job-store-type: jdbc
jdbc:
# 不从新创立数据表
initialize-schema: never
properties:
org:
quartz:
scheduler:
instanceId: AUTO
jobStore:
class: org.quartz.impl.jdbcjobstore.JobStoreTX
driverDelegateClass: org.quartz.impl.jdbcjobstore.StdJDBCDelegate
# 数据表前缀
tablePrefix: qrtz_
# 连接池
threadPool:
class: org.quartz.simpl.SimpleThreadPool
threadCount: 10
threadPriority: 5
threadsInheritContextClassLoaderOfInitializingThread: true
创立数据表供 Quartz 应用
sql 语句可在 jdbcjobstore 找到,Quartz 提供了 tables_mysql_innodb.sql
:
#
# In your Quartz properties file, you'll need to set
# org.quartz.jobStore.driverDelegateClass = org.quartz.impl.jdbcjobstore.StdJDBCDelegate
#
#
# By: Ron Cordell - roncordell
# I didn't see this anywhere, so I thought I'd post it here. This is the script from Quartz to create the tables in a MySQL database, modified to use INNODB instead of MYISAM.
DROP TABLE IF EXISTS QRTZ_FIRED_TRIGGERS;
DROP TABLE IF EXISTS QRTZ_PAUSED_TRIGGER_GRPS;
DROP TABLE IF EXISTS QRTZ_SCHEDULER_STATE;
DROP TABLE IF EXISTS QRTZ_LOCKS;
DROP TABLE IF EXISTS QRTZ_SIMPLE_TRIGGERS;
DROP TABLE IF EXISTS QRTZ_SIMPROP_TRIGGERS;
DROP TABLE IF EXISTS QRTZ_CRON_TRIGGERS;
DROP TABLE IF EXISTS QRTZ_BLOB_TRIGGERS;
DROP TABLE IF EXISTS QRTZ_TRIGGERS;
DROP TABLE IF EXISTS QRTZ_JOB_DETAILS;
DROP TABLE IF EXISTS QRTZ_CALENDARS;
CREATE TABLE QRTZ_JOB_DETAILS(SCHED_NAME VARCHAR(120) NOT NULL,
JOB_NAME VARCHAR(190) NOT NULL,
JOB_GROUP VARCHAR(190) NOT NULL,
DESCRIPTION VARCHAR(250) NULL,
JOB_CLASS_NAME VARCHAR(250) NOT NULL,
IS_DURABLE VARCHAR(1) NOT NULL,
IS_NONCONCURRENT VARCHAR(1) NOT NULL,
IS_UPDATE_DATA VARCHAR(1) NOT NULL,
REQUESTS_RECOVERY VARCHAR(1) NOT NULL,
JOB_DATA BLOB NULL,
PRIMARY KEY (SCHED_NAME,JOB_NAME,JOB_GROUP))
ENGINE=InnoDB;
CREATE TABLE QRTZ_TRIGGERS (SCHED_NAME VARCHAR(120) NOT NULL,
TRIGGER_NAME VARCHAR(190) NOT NULL,
TRIGGER_GROUP VARCHAR(190) NOT NULL,
JOB_NAME VARCHAR(190) NOT NULL,
JOB_GROUP VARCHAR(190) NOT NULL,
DESCRIPTION VARCHAR(250) NULL,
NEXT_FIRE_TIME BIGINT(13) NULL,
PREV_FIRE_TIME BIGINT(13) NULL,
PRIORITY INTEGER NULL,
TRIGGER_STATE VARCHAR(16) NOT NULL,
TRIGGER_TYPE VARCHAR(8) NOT NULL,
START_TIME BIGINT(13) NOT NULL,
END_TIME BIGINT(13) NULL,
CALENDAR_NAME VARCHAR(190) NULL,
MISFIRE_INSTR SMALLINT(2) NULL,
JOB_DATA BLOB NULL,
PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP),
FOREIGN KEY (SCHED_NAME,JOB_NAME,JOB_GROUP)
REFERENCES QRTZ_JOB_DETAILS(SCHED_NAME,JOB_NAME,JOB_GROUP))
ENGINE=InnoDB;
CREATE TABLE QRTZ_SIMPLE_TRIGGERS (SCHED_NAME VARCHAR(120) NOT NULL,
TRIGGER_NAME VARCHAR(190) NOT NULL,
TRIGGER_GROUP VARCHAR(190) 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),
FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP)
REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP))
ENGINE=InnoDB;
CREATE TABLE QRTZ_CRON_TRIGGERS (SCHED_NAME VARCHAR(120) NOT NULL,
TRIGGER_NAME VARCHAR(190) NOT NULL,
TRIGGER_GROUP VARCHAR(190) NOT NULL,
CRON_EXPRESSION VARCHAR(120) NOT NULL,
TIME_ZONE_ID VARCHAR(80),
PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP),
FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP)
REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP))
ENGINE=InnoDB;
CREATE TABLE QRTZ_SIMPROP_TRIGGERS
(SCHED_NAME VARCHAR(120) NOT NULL,
TRIGGER_NAME VARCHAR(190) NOT NULL,
TRIGGER_GROUP VARCHAR(190) NOT NULL,
STR_PROP_1 VARCHAR(512) NULL,
STR_PROP_2 VARCHAR(512) NULL,
STR_PROP_3 VARCHAR(512) NULL,
INT_PROP_1 INT NULL,
INT_PROP_2 INT NULL,
LONG_PROP_1 BIGINT NULL,
LONG_PROP_2 BIGINT NULL,
DEC_PROP_1 NUMERIC(13,4) NULL,
DEC_PROP_2 NUMERIC(13,4) NULL,
BOOL_PROP_1 VARCHAR(1) NULL,
BOOL_PROP_2 VARCHAR(1) NULL,
PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP),
FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP)
REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP))
ENGINE=InnoDB;
CREATE TABLE QRTZ_BLOB_TRIGGERS (SCHED_NAME VARCHAR(120) NOT NULL,
TRIGGER_NAME VARCHAR(190) NOT NULL,
TRIGGER_GROUP VARCHAR(190) NOT NULL,
BLOB_DATA BLOB NULL,
PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP),
INDEX (SCHED_NAME,TRIGGER_NAME, TRIGGER_GROUP),
FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP)
REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP))
ENGINE=InnoDB;
CREATE TABLE QRTZ_CALENDARS (SCHED_NAME VARCHAR(120) NOT NULL,
CALENDAR_NAME VARCHAR(190) NOT NULL,
CALENDAR BLOB NOT NULL,
PRIMARY KEY (SCHED_NAME,CALENDAR_NAME))
ENGINE=InnoDB;
CREATE TABLE QRTZ_PAUSED_TRIGGER_GRPS (SCHED_NAME VARCHAR(120) NOT NULL,
TRIGGER_GROUP VARCHAR(190) NOT NULL,
PRIMARY KEY (SCHED_NAME,TRIGGER_GROUP))
ENGINE=InnoDB;
CREATE TABLE QRTZ_FIRED_TRIGGERS (SCHED_NAME VARCHAR(120) NOT NULL,
ENTRY_ID VARCHAR(95) NOT NULL,
TRIGGER_NAME VARCHAR(190) NOT NULL,
TRIGGER_GROUP VARCHAR(190) NOT NULL,
INSTANCE_NAME VARCHAR(190) NOT NULL,
FIRED_TIME BIGINT(13) NOT NULL,
SCHED_TIME BIGINT(13) NOT NULL,
PRIORITY INTEGER NOT NULL,
STATE VARCHAR(16) NOT NULL,
JOB_NAME VARCHAR(190) NULL,
JOB_GROUP VARCHAR(190) NULL,
IS_NONCONCURRENT VARCHAR(1) NULL,
REQUESTS_RECOVERY VARCHAR(1) NULL,
PRIMARY KEY (SCHED_NAME,ENTRY_ID))
ENGINE=InnoDB;
CREATE TABLE QRTZ_SCHEDULER_STATE (SCHED_NAME VARCHAR(120) NOT NULL,
INSTANCE_NAME VARCHAR(190) NOT NULL,
LAST_CHECKIN_TIME BIGINT(13) NOT NULL,
CHECKIN_INTERVAL BIGINT(13) NOT NULL,
PRIMARY KEY (SCHED_NAME,INSTANCE_NAME))
ENGINE=InnoDB;
CREATE TABLE QRTZ_LOCKS (SCHED_NAME VARCHAR(120) NOT NULL,
LOCK_NAME VARCHAR(40) NOT NULL,
PRIMARY KEY (SCHED_NAME,LOCK_NAME))
ENGINE=InnoDB;
CREATE INDEX IDX_QRTZ_J_REQ_RECOVERY ON QRTZ_JOB_DETAILS(SCHED_NAME,REQUESTS_RECOVERY);
CREATE INDEX IDX_QRTZ_J_GRP ON QRTZ_JOB_DETAILS(SCHED_NAME,JOB_GROUP);
CREATE INDEX IDX_QRTZ_T_J ON QRTZ_TRIGGERS(SCHED_NAME,JOB_NAME,JOB_GROUP);
CREATE INDEX IDX_QRTZ_T_JG ON QRTZ_TRIGGERS(SCHED_NAME,JOB_GROUP);
CREATE INDEX IDX_QRTZ_T_C ON QRTZ_TRIGGERS(SCHED_NAME,CALENDAR_NAME);
CREATE INDEX IDX_QRTZ_T_G ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_GROUP);
CREATE INDEX IDX_QRTZ_T_STATE ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_STATE);
CREATE INDEX IDX_QRTZ_T_N_STATE ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP,TRIGGER_STATE);
CREATE INDEX IDX_QRTZ_T_N_G_STATE ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_GROUP,TRIGGER_STATE);
CREATE INDEX IDX_QRTZ_T_NEXT_FIRE_TIME ON QRTZ_TRIGGERS(SCHED_NAME,NEXT_FIRE_TIME);
CREATE INDEX IDX_QRTZ_T_NFT_ST ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_STATE,NEXT_FIRE_TIME);
CREATE INDEX IDX_QRTZ_T_NFT_MISFIRE ON QRTZ_TRIGGERS(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME);
CREATE INDEX IDX_QRTZ_T_NFT_ST_MISFIRE ON QRTZ_TRIGGERS(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME,TRIGGER_STATE);
CREATE INDEX IDX_QRTZ_T_NFT_ST_MISFIRE_GRP ON QRTZ_TRIGGERS(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME,TRIGGER_GROUP,TRIGGER_STATE);
执行完 sql 语句能够在数据库中看到以下 11 个表:
应用
创立 ScheduleJobDTO
新建类 ScheduleJobDTO
,用于封装工作信息返回到前端。
@Data
@Accessors(chain = true)
public class ScheduleJobDTO {
private String jobName;
private String jobGroup;
private String jobDescription;
private Integer triggerStatus;
private String triggerStatusName;
/**
* 额定的数据
*/
private List<Map<String, Object>> jobMapData;
}
创立 ScheduleJobParam
新建类 ScheduleJobParam
,封装申请参数,用于接管前端传递过去的参数。
@Getter
@Setter
@ToString
@Accessors(chain = true)
public class ScheduleJobParam {@NotBlank(message = "工作名称不能为空")
private String jobName;
@NotBlank(message = "工作分组不能为空")
private String jobGroup;
@NotBlank(message = "执行类名不能为空")
private String jobClass;
@NotBlank(message = "cron 表达式不能为空")
private String cronExpression;
private String jobDescription;
/**
* 额定的数据
*/
private List<Map<String, Object>> jobMapData;
}
创立 IJobService
新建类 IJobService
,用于定义工作的获取、新增、进行、复原、删除等接口。
IJobService.java
内容如下:
public interface IJobService {
/**
* 查问所有工作列表
* @return
*/
List<ScheduleJobDTO> listAllJob();
/**
* 获取正在运行的工作列表
* @return
*/
List<ScheduleJobDTO> listRunningJob();
/**
* 新增工作
* @param job job
* @return
*/
boolean addJob(ScheduleJobParam job);
/**
* 执行 job
* @param jobName jobName
* @param jobGroupName jobGroupName
* @return
*/
boolean triggerJob(String jobName, String jobGroupName);
/**
* 启动所有定时工作
* @return
*/
boolean startJobs();
/**
* 删除工作
* @param jobName jobName
* @param jobGroupName jobGroupName
* @return
*/
boolean deleteJob(String jobName, String jobGroupName);
/**
* 暂停工作
* @param jobName jobName
* @param jobGroupName jobGroupName
* @return
*/
boolean pauseJob(String jobName, String jobGroupName);
/**
* 复原工作
* @param jobName jobName
* @param jobGroupName jobGroupName
* @return
*/
boolean resumeJob(String jobName, String jobGroupName);
}
创立 JobServiceImpl
新建类 JobServiceImpl
,用于实现 IJobService
接口,实现工作的获取、新增、进行、复原、删除等性能。
JobServiceImpl.java
内容如下:
@Service("jobService")
@Slf4j
public class JobServiceImpl implements IJobService {
public static final String TRIGGER_IDENTITY_PREFIX = "trigger_";
/**
* 调度器
*/
private final Scheduler scheduler;
@Autowired
public JobServiceImpl(Scheduler scheduler) {this.scheduler = scheduler;}
@Override
public List<ScheduleJobDTO> listAllJob() {List<ScheduleJobDTO> result = new ArrayList<>();
try {GroupMatcher<JobKey> matcher = GroupMatcher.anyJobGroup();
Set<JobKey> jobKeys = scheduler.getJobKeys(matcher);
for (JobKey jobKey : jobKeys) {List<? extends Trigger> triggers = scheduler.getTriggersOfJob(jobKey);
for (Trigger trigger : triggers) {ScheduleJobDTO scheduleJob = new ScheduleJobDTO();
scheduleJob.setJobName(jobKey.getName())
.setJobGroup(jobKey.getGroup())
.setJobDescription(trigger.getDescription())
.setTriggerStatus(scheduler.getTriggerState(trigger.getKey()).ordinal())
.setTriggerStatusName(scheduler.getTriggerState(trigger.getKey()).name());
result.add(scheduleJob);
}
}
} catch (SchedulerException e) {log.error("获取所有工作列表失败,谬误:{}", e.getMessage());
}
return result;
}
@Override
public List<ScheduleJobDTO> listRunningJob() {List<ScheduleJobDTO> result = new ArrayList<>();
try {
// 获取列表
List<JobExecutionContext> executingJobs = scheduler.getCurrentlyExecutingJobs();
result = getJobListData(executingJobs);
} catch (SchedulerException e) {log.error("获取运行工作列表失败,谬误:{}", e.getMessage());
}
return result;
}
@Override
public boolean addJob(ScheduleJobParam jobParam) {
try {
// 加载执行类
Class<? extends Job> clazz = (Class<? extends Job>) Class.forName(jobParam.getJobClass());
clazz.newInstance();
// 1. 创立 job
JobDetail job = JobBuilder.newJob(clazz)
.withIdentity(jobParam.getJobName(), jobParam.getJobGroup())
.withDescription(jobParam.getJobDescription())
.build();
JobDataMap jobDataMap = job.getJobDataMap();
List<Map<String, Object>> data = jobParam.getJobMapData();
if (data != null && data.size() > 0) {
data.forEach(jobDataItem -> {jobDataItem.keySet().forEach((key) -> {jobDataMap.put(key, jobDataItem.get(key));
});
});
}
// 配置 cron 运行规定,即执行工夫
CronScheduleBuilder cronScheduleBuilder = CronScheduleBuilder.cronSchedule(jobParam.getCronExpression());
// 2. 创立 Trigger
Trigger trigger = TriggerBuilder.newTrigger()
.withIdentity(TRIGGER_IDENTITY_PREFIX + jobParam.getJobName(), jobParam.getJobGroup())
.startNow()
.withSchedule(cronScheduleBuilder)
.build();
// 3. 注册工作和定时器
scheduler.scheduleJob(job, trigger);
scheduler.start();} catch (ClassNotFoundException | IllegalAccessException | InstantiationException | SchedulerException e) {log.error("增加工作 {} 失败,谬误:{}", jobParam.getJobName(), e.getMessage());
return false;
}
return true;
}
@Override
public boolean triggerJob(String jobName, String jobGroupName) {JobKey key = new JobKey(jobName, jobGroupName);
try {scheduler.triggerJob(key);
} catch (SchedulerException e) {log.error("工作 {} 触发失败", jobName);
return false;
}
return true;
}
@Override
public boolean startJobs() {
try {scheduler.start();
} catch (SchedulerException e) {log.error("启动所有工作失败:", e);
return false;
}
return true;
}
@Override
public boolean deleteJob(String jobName, String jobGroupName) {TriggerKey triggerKey = TriggerKey.triggerKey(jobName, jobGroupName);
try {
// 进行触发器
scheduler.pauseTrigger(triggerKey);
// 删除触发器
scheduler.unscheduleJob(triggerKey);
// 删除工作
scheduler.deleteJob(JobKey.jobKey(jobName, jobGroupName));
} catch (SchedulerException e) {log.error("删除工作 {} 失败,谬误:{}", jobName, e.getMessage());
return false;
}
return true;
}
@Override
public boolean pauseJob(String jobName, String jobGroupName) {JobKey jobKey = JobKey.jobKey(jobName, jobGroupName);
try {scheduler.pauseJob(jobKey);
} catch (SchedulerException e) {log.error("进行工作 {} 失败,谬误:{}", jobName, e.getMessage());
return false;
}
return true;
}
@Override
public boolean resumeJob(String jobName, String jobGroupName) {JobKey jobKey = JobKey.jobKey(jobName, jobGroupName);
try {scheduler.resumeJob(jobKey);
} catch (SchedulerException e) {log.error("复原工作 {} 失败,谬误:{}", jobName, e.getMessage());
return false;
}
return true;
}
private List<ScheduleJobDTO> getJobListData(List<JobExecutionContext> executingJobs) {List<ScheduleJobDTO> result = new ArrayList<>();
try {for (JobExecutionContext jobItem : executingJobs) {ScheduleJobDTO scheduleJobItem = getJobDataByJobExecutionContext(jobItem);
result.add(scheduleJobItem);
}
} catch (SchedulerException e) {log.error("获取工作状态失败,谬误:{}", e.getMessage());
}
return result;
}
/**
* 从 JobExecutionContext 中解析获取数据
* @param jobContext JobExecutionContext
* @return
* @throws SchedulerException
*/
private ScheduleJobDTO getJobDataByJobExecutionContext(JobExecutionContext jobContext) throws SchedulerException {JobDetail jobDetail = jobContext.getJobDetail();
JobKey jobKey = jobDetail.getKey();
Trigger trigger = jobContext.getTrigger();
// 封装 ScheduleJobDTO 返回,想要获取更多的数据(如 JobDataMap)可自行添加
ScheduleJobDTO scheduleJob = new ScheduleJobDTO();
scheduleJob.setJobName(jobKey.getName())
.setJobGroup(jobKey.getGroup())
.setJobDescription(trigger.getDescription())
.setTriggerStatus(scheduler.getTriggerState(trigger.getKey()).ordinal())
.setTriggerStatusName(scheduler.getTriggerState(trigger.getKey()).name());
return scheduleJob;
}
}
创立工作类
新建两个工作类(实现 org.quartz.Job
接口),用于定时工作执行,我这建了 EatJob
和 DrinkJob
。
EatJob
内容如下:
public class EatJob implements Job {
@Override
public void execute(JobExecutionContext jobExecutionContext) {
// 通过 jobExecutionContext 可获取到工作的相干信息
// JobDataMap jobDataMap = jobExecutionContext.getJobDetail().getJobDataMap();
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
System.out.println(sdf.format(new Date()) + "正在吃饭......");
}
}
DrinkJob
内容如下:
public class DrinkJob implements Job {
@Override
public void execute(JobExecutionContext jobExecutionContext) {SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
System.out.println(sdf.format(new Date()) + "正在喝货色......");
}
}
创立 controller
新建 controller
:
@RestController
@RequestMapping("/jobs")
public class MainController {
private final IJobService jobService;
@Autowired
public MainController(IJobService jobService) {this.jobService = jobService;}
@GetMapping("/all")
public JsonResult<List<ScheduleJobDTO>> queryAllJobs() {List<ScheduleJobDTO> list = jobService.listAllJob();
return JsonResult.ok(list);
}
@GetMapping("/running")
public JsonResult<List<ScheduleJobDTO>> queryRunningJobs() {List<ScheduleJobDTO> list = jobService.listRunningJob();
return JsonResult.ok(list);
}
@PostMapping("")
public JsonResult<String> addJob(@RequestBody @Valid ScheduleJobParam param) {boolean flag = jobService.addJob(param);
return flag ? JsonResult.ok() : JsonResult.error("增加工作失败");
}
@PutMapping("/pause")
public JsonResult<String> pauseJob(@RequestBody @Valid ScheduleJobParam param) {boolean flag = jobService.pauseJob(param.getJobName(), param.getJobGroup());
return flag ? JsonResult.ok() : JsonResult.error("进行工作失败");
}
@PutMapping("/resume")
public JsonResult<String> resumeJob(@RequestBody @Valid ScheduleJobParam param) {boolean flag = jobService.resumeJob(param.getJobName(), param.getJobGroup());
return flag ? JsonResult.ok() : JsonResult.error("进行工作失败");
}
@DeleteMapping("")
public JsonResult<String> deleteJob(@RequestBody @Valid ScheduleJobParam param) {boolean flag = jobService.deleteJob(param.getJobName(), param.getJobGroup());
return flag ? JsonResult.ok() : JsonResult.error("删除工作失败");
}
}
测试
启动我的项目,应用 Postman
发送申请测试:
- 获取所有工作列表,申请
http://127.0.0.1:8077/jobs/all
,因为没有工作,所以返回为空;
- 新增工作,应用
POST
申请http://127.0.0.1:8077/jobs
,申请参数如下;其中 cron 表达式可应用 https://cron.qqe2.com/ 这个工具生成;
此时,再去申请获取工作列表,胜利返回列表:
- 进行工作,应用
PUT
申请http://127.0.0.1:8077/jobs/pause
,参数参考增加参数,发现控制台已不输入信息; - 复原工作,应用
PUT
申请http://127.0.0.1:8077/jobs/resume
,参数参考增加参数,发现控制台又从新输入信息,阐明工作已胜利复原执行; - 删除工作,应用
DELETE
申请http://127.0.0.1:8077/jobs
,参数参考增加参数,操作实现后控制台不再输入信息,再次申请获取工作列表,发现返回空列表了,阐明删除工作胜利。
至此,Spring Boot 整合 Quartz 实现。
Github:spring-boot-quartz