Scheduler (1)

创建Scheduler一般都是

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package scheduler; import org.junit.Test; import org.quartz.*; import org.quartz.impl.StdSchedulerFactory; public class SchedulerTest {     @Test     public void test1(){         try {             Scheduler sc=new StdSchedulerFactory().getDefaultScheduler();         } catch (SchedulerException e) {             e.printStackTrace();         }     } }

这种情况下使用的是默认调度器，在quartz.properties中已经把属性全部设置好了，看代码

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org.quartz.scheduler.instanceName: DefaultQuartzScheduler 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//Thread数量 org.quartz.threadPool.threadPriority: 5//Thread优先级 org.quartz.threadPool.threadsInheritContextClassLoaderOfInitializingThread: true   org.quartz.jobStore.misfireThreshold: 60000  //将schedule相关信息保存在ram中，轻量级速度快，遗憾的是重启应用时会丢失 org.quartz.jobStore.class: org.quartz.simpl.RAMJobSto

我们可以自己配置相关的信息，比如thread的数量

代码如下：

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package scheduler; import java.util.Properties; //两个quartz包不可以少 import org.quartz.*; import org.quartz.impl.StdSchedulerFactory; public class SchedulerTest {     private static SchedulerFactory scf=new StdSchedulerFactory();     static{         Properties pr=new Properties();         //将thread数量设置为50         pr.put("org.quartz.threadPool.threadCount", "50");         try {             ((StdSchedulerFactory) scf).initialize(pr);         } catch (SchedulerException e) {             e.printStackTrace();         }       } }

运行之后，会发现已经thread数量已经变化

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Scheduler class: 'org.quartz.core.QuartzScheduler' - running locally.  NOT STARTED.  Currently in standby mode.  Number of jobs executed: 0  Using thread pool 'org.quartz.simpl.SimpleThreadPool' - with 50 threads.  Using job-store 'org.quartz.simpl.RAMJobStore' - which does not support persistence. and is not clustered.