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Schedule(1)
创建Scheduler一般都是
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | 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
1 2 3 4 5 6 7 8 9 10 11 12 13 | 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:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | 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
1 2 3 4 5 6 | 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. |
Schedule(1)
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