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♻️ 抽取 quartz-config.yml,方便使用维护
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@@ -17,6 +17,7 @@
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package com.pig4cloud.pigx.daemon.quartz.config;
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import com.pig4cloud.pigx.common.core.factory.YamlPropertySourceFactory;
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import org.quartz.Calendar;
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import org.quartz.JobDetail;
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import org.quartz.Scheduler;
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@@ -31,6 +32,7 @@ import org.springframework.boot.context.properties.EnableConfigurationProperties
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import org.springframework.context.ApplicationContext;
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import org.springframework.context.annotation.Bean;
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import org.springframework.context.annotation.Configuration;
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import org.springframework.context.annotation.PropertySource;
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import org.springframework.scheduling.annotation.EnableAsync;
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import org.springframework.scheduling.quartz.SchedulerFactoryBean;
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@@ -44,6 +46,7 @@ import java.util.Properties;
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*/
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@EnableAsync
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@Configuration
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@PropertySource(value = "classpath:quartz-config.yml", factory = YamlPropertySourceFactory.class)
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@ConditionalOnClass({ Scheduler.class, SchedulerFactoryBean.class })
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@EnableConfigurationProperties({ QuartzProperties.class })
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public class PigxQuartzConfig {
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@@ -0,0 +1,24 @@
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# 如下配置为使用数据库存储定时任务,属性不经常修改,所以不放在 application.yml 中统一管理
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spring:
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quartz:
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properties:
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org:
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quartz:
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scheduler:
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instanceName: clusteredScheduler
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instanceId: AUTO
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jobStore:
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class: org.springframework.scheduling.quartz.LocalDataSourceJobStore # 数据库存储
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driverDelegateClass: org.quartz.impl.jdbcjobstore.StdJDBCDelegate # 数据库代理
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tablePrefix: QRTZ_ # 表前缀
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isClustered: true # 集群
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clusterCheckinInterval: 30000 # 集群检查间隔
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useProperties: false
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threadPool:
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class: org.quartz.simpl.SimpleThreadPool # 线程池
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threadCount: 50 # 线程数量
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threadPriority: 5 # 线程优先级
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threadsInheritContextClassLoaderOfInitializingThread: true # 是否继承类加载器
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job-store-type: jdbc # 持久化到数据库
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jdbc:
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initialize-schema: never # 不初始化表结构
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