I am one of the developer that works on the scheduler part of a student information system. During our original approach of the scheduling problem, we researched genetic algorithms to solve constraint satisfaction problems, and even though we were successful initially, we realized that there was a less complicated solution to the problem (after attending … Read more
With Quartz.NET I could contrast some of the earlier points: Code to write – You can express your intent in .NET language, write unit tests and debug the logic Integration with event log, you have Common.Logging that allows to write even to db.. Robust and reliable too Even richer API It’s mostly a question about … Read more
Have a look at the ScheduledExecutorService: Here is a class with a method that sets up a ScheduledExecutorService to beep every ten seconds for an hour: import static java.util.concurrent.TimeUnit.*; class BeeperControl { private final ScheduledExecutorService scheduler = Executors.newScheduledThreadPool(1); public void beepForAnHour() { final Runnable beeper = new Runnable() { public void run() { System.out.println(“beep”); } … Read more
run this test, it prints 1 2 3 4 5 and stops public class ScheduledThreadPoolExecutorTest { static ScheduledThreadPoolExecutor executor = new ScheduledThreadPoolExecutor(15); // no static ScheduledFuture<?> t; static class MyTask implements Runnable { private int attempt = 1; public void run() { System.out.print(attempt + ” “); if (++attempt > 5) { t.cancel(false); } } } … Read more
You should probably use the PythonOperator to call your function. If you want to define the function somewhere else, you can simply import it from a module as long as it’s accessible in your PYTHONPATH. from airflow import DAG from airflow.operators.python_operator import PythonOperator from my_script import my_python_function dag = DAG(‘tutorial’, default_args=default_args) PythonOperator(dag=dag, task_id=’my_task_powered_by_python’, provide_context=False, python_callable=my_python_function, … Read more
Spring @Configuration (non-xml configuration) for annotation-driven tasks Just add @EnableScheduling on your WebMvcConfig class import org.springframework.context.annotation.Configuration; import org.springframework.scheduling.annotation.EnableAsync; import org.springframework.scheduling.annotation.EnableScheduling; import org.springframework.web.servlet.config.annotation.EnableWebMvc; import org.springframework.web.servlet.config.annotation.WebMvcConfigurer; @Configuration @EnableWebMvc @EnableAsync @EnableScheduling public class WebMvcConfig implements WebMvcConfigurer { /** Annotations config Stuff … **/ }
The Linux kernel scheduler is actually scheduling tasks, and these are either threads or (single-threaded) processes. So a task (a task_struct inside the kernel), in the context of the scheduler, is the thing being scheduled, and can be some kernel thread like kworker or kswapd, some user thread of a multi-threaded process (like firefox), or … Read more
I’ve figured out the answer to my question, so I thought I’d add it here. Below is the patch that will add a new scheduler to the 2.6.34 vanilla kernel. Right now, I’ve only compiled the kernel. I fully expect running a system with this EXACT patch will cause it to crash — so use … Read more
The Linux scheduler (on recent Linux kernels, e.g. 3.0 at least) is scheduling schedulable tasks or simply tasks. A task may be : a single-threaded process (e.g. created by fork without any thread library) any thread inside a multi-threaded process (including its main thread), in particular Posix threads (pthreads) kernel tasks, which are started internally … Read more
I believe that threading priority is not controllable in python due to how they are implemented using a global interpreter lock (GIL). Having said that, even if you could give one thread more CPU processing priority, the python implementation that hands around the GIL would not be aware of this as it handed around the … Read more