Programming language: Java
License: Apache License 2.0
Tags: Projects     Job Scheduling    
Latest version: v2.2.0

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Wisp Scheduler

Build Status Coverage Status Maven Central

Wisp is a library for managing the execution of recurring Java jobs. It works like the Java class ScheduledThreadPoolExecutor, but it comes with some advanced features:

Wisp weighs only 30Kb and has zero dependency except SLF4J for logging. It will try to only create threads that will be used: if one thread is enough to run all the jobs, then only one thread will be created. A second thread will generally be created only when 2 jobs have to run at the same time.

The scheduler precision will depend on the system load. Though a job will never be executed early, it will generally run after 1ms of the scheduled time.

Wisp is compatible with Java 8 and higher.

Getting started

Include Wisp in your project:


Schedule a job:

Scheduler scheduler = new Scheduler();

    () -> System.out.println("My first job"),           // the runnable to be scheduled
    Schedules.fixedDelaySchedule(Duration.ofMinutes(5)) // the schedule associated to the runnable


A project should generally contain only one instance of a Scheduler. So either a dependency injection framework handles this instance, or either a static instance of Scheduler should be created.

In production, it is generally a good practice to configure the monitor for long running jobs detection.

Changelog and upgrade instructions

All the changelog and the upgrades instructions are available in the project releases page.


When a job is created or done executing, the schedule associated to the job is called to determine when the job should next be executed. There are multiple implications:

  • the same job will never be executed twice at a time,
  • if a job has to be executed at a fixed frequency, then the job has to finish running before the next execution is scheduled ; else the next execution will likely be skipped (depending of the Schedule implementation).

Basics schedules

Basics schedules are referenced in the Schedules class:

  • fixedDelaySchedule(Duration): execute a job at a fixed delay after each execution
  • executeAt(String): execute a job at the same time every day, e.g. executeAt("05:30")


Schedules are very flexible and can easily be composed, e.g:

  • Schedules.afterInitialDelay(Schedules.fixedDelaySchedule(Duration.ofMinutes(5)), Duration.ZERO): the job will be first executed ASAP and then with a fixed delay of 5 minutes between each execution,
  • Schedules.executeOnce(Schedules.executeAt("05:30")): the job will be executed once at 05:30.
  • Schedules.executeOnce(Schedules.fixedDelaySchedule(Duration.ofSeconds(10))): the job will be executed once 10 seconds after it has been scheduled.


Schedules can be created using cron expressions. This feature is made possible by the use of cron-utils. So to use cron expression, cron-utils should be added in the project:


Then to create a job which is executed every hour at the 30th minute, you can create the schedule: CronSchedule.parseQuartzCron("0 30 * * * ? *").

Cron expression should be created and checked using a tool like Cron Maker.

Custom schedules

Custom schedules can be created, see the [Schedule](src/main/java/com/coreoz/wisp/schedule/Schedule.java) interface.

Past schedule

Schedules can reference a past time. However once a past time is returned by a schedule, the associated job will never be executed again. At the first execution, if a past time is referenced a warning will be logged but no exception will be raised.


Two methods enable to fetch scheduler statistics:

  • Scheduler.jobStatus(): To fetch all the jobs executing on the scheduler. For each job, these data are available:
    • name,
    • status (see JobStatus for details),
    • executions count,
    • last execution start date,
    • last execution end date,
    • next execution date.
  • Scheduler.stats(): To fetch statistics about the underlying thread pool:
    • min threads,
    • max threads,
    • active threads running jobs,
    • idle threads,
    • largest thread pool size.

Long running jobs detection

To detect jobs that are running for too long, an optional job monitor is provided. It can be setup with:

    "Long running job monitor",
    new LongRunningJobMonitor(scheduler),

This way, every minute, the monitor will check for jobs that are running for more than 5 minutes. A warning message with the job stack trace will be logged for any job running for more than 5 minutes.

The detection threshold can also be configured this way: new LongRunningJobMonitor(scheduler, Duration.ofMinutes(15))

Scalable thread pool

By default the thread pool size will only grow up, from 0 to 10 threads (and not scale down). But it is also possible to define a maximum keep alive duration after which idle threads will be removed from the pool. This can be configured this way:

Scheduler scheduler = new Scheduler(

In this example:

  • There will be always at least 2 threads to run the jobs,
  • The thread pool can grow up to 15 threads to run the jobs,
  • Idle threads for at least an hour will be removed from the pool, until the 2 minimum threads remain.

Plume Framework integration

If you are already using Plume Framework, please take a look at Plume Scheduler.