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Kaal

Reliability Rating Security Rating Maintainability Rating Quality Gate Status Coverage javadoc

An embeddable in-memory scheduler. It can be used to implement tasks that need to run multiple times at intervals.

  • Provides simple interface to obtain and act on results.
  • Provides full control to task to tune further executions
  • Multithreaded execution

Entities

  • KaalTask - An implementation of a task
  • KaalScheduler - The scheduler that runs the task
  • KaalTaskData - Task data available to a task execution

Getting Started

Coordinates

Kaal is available on Maven central. Please use the required dependency based on your build system.

Step 1 - Create the task

The first thing that needs to be done is to crate a custom type of task. For this example we create a task that gets invoked every 1 second and returns the current time as result. This current time is handled by using a signal handler and printed out. Task stops after 10 invocations.

/**
 * Sample task that runs every one second and returns the invocation time as the result
 */
@Slf4j
public class SampleTask implements KaalTask<SampleTask, Date> {

    @Override
    public String id() {
        return "SAMPLE_TASK"; //Fixed ID for the task
    }

    @Override
    public long delayToNextRun(Date currentTime) {
        return 1_000; //Task runs every one second
    }

    @Override
    public Date apply(Date date, KaalTaskData<SampleTask, Date> sampleTaskDateKaalTaskData) {
        log.info("Sample task invoked");
        return date; //Just return the invocation date as the task result.
    }
}

Step 2 - (Optional) Create a stop strategy

If you want the job to stop after some criterion are met, implement a stop strategy. For our example, we want the execution to stop after 10 runs, so we implement a stop strategy accordingly.

/**
 * Allows execution for only 10 iterations
 */
public class CountingStopStrategy implements KaalTaskStopStrategy<SampleTask, Date> {

    @Getter
    private final AtomicInteger executionCount = new AtomicInteger();

    @Override
    public boolean scheduleNext(KaalTaskData<SampleTask, Date> taskData) {
        return executionCount.incrementAndGet() < 10;
    }
}

Step 3 - Using the KaalScheduler

To use the scheduler, the following needs to be done:

Building the scheduler

The scheduler class is called KaalScheduler and can be built using the provided builder.

    scheduler=KaalScheduler.<SampleTask, Date>builder()
        .withTaskStopStrategy(stopStrategy)
        .build();

Handling a task run completion

Every run of a KaalTask is uniquely identified using a run Id. The ID generation logic can be customised by implementing the KaalTaskRunIdGenerator interface.

On completion of a run, a ConsumingSyncSignal dispatch is invoked with an instance of a KaalTaskData. The info is available inside the instance:

  • task - A reference to the Task instance
  • runId - The id for the current run invocation time
  • targetExecutionTime - Time at which task is supposed to be executed
  • actualStartTime - Time at which task was actually executed
  • result - Result of the execution if actually returned. Null if null is returned or task threw an exception
  • exception - Reference to the throwable thrown by the task run if any, or null otherwise
  • A method called drift() is available in the TaskData instance to calculate the time drift between actual and expected execution times in milliseconds

NOTE - It is highly recommended to register a handler and at the very least, log or handle any exceptions thrown from the task run

Implement the handler like following:

    private void handleTaskResult(KaalTaskData<SampleTask, Date> taskData){
        log.info("Received result from task run {}/{} is {}",
        taskData.getTask().id(),taskData.getRunId(),taskData.getResult());
        }

And connect it to the signal in the following manner:

    scheduler.onTaskCompleted().connect(this::handleTaskResult);

Starting the scheduler

The scheduler can be started by invoking the scheudler.start() method.

Submitting tasks(s) to Kaal

You can submit your tasks to Kaal in the following manner:

    scheduler.schedule(new SampleTask());

Deleting tasks

To delete a task, you need to pass the same id returned by id() method of your KaalTask implementation.

    schduler.delete("SAMPLE_TASK");

Cleaning up all tasks

To clean up all tasks in Kaal, please call the schduler.cleanup() method.

Stopping the scheduler

The scheduler can can be stopped by calling schduler.stop() method.

Bringing it all together

The following class shows a concrete wrapper around the above steps:

@Slf4j
public class SampleTaskRunner {
    private final KaalScheduler<SampleTask, Date> scheduler;
    private final CountingStopStrategy stopStrategy = new CountingStopStrategy();

    public SampleTaskRunner() {
        scheduler = KaalScheduler.<SampleTask, Date>builder()
                .withTaskStopStrategy(stopStrategy)
                .build();
        scheduler.onTaskCompleted().connect(this::handleTaskResult);
    }

    private void handleTaskResult(KaalTaskData<SampleTask, Date> taskData) {
        log.info("Received result from task run {}/{} is {}",
                 taskData.getTask().id(), taskData.getRunId(), taskData.getResult());
    }

    public void start() {
        scheduler.start();
        log.info("Scheduler started");
    }

    public void run() {
        scheduler.schedule(new SampleTask());
        await().atMost(Duration.ofSeconds(12))
                .pollInterval(Duration.ofSeconds(1))
                .until(() -> stopStrategy.getExecutionCount().get() == 11);
    }

    public void stop() {
        scheduler.stop();
    }

}

Finally, a test for the runner:

class SampleTaskTest {

    @Test
    void sampleTest() {
        val runner = new SampleTaskRunner();
        runner.start();
        try {
            runner.run();
            await().atMost(Duration.ofSeconds(15)).until(runner::done);
        }
        finally {
            runner.stop();
        }
    }
}

Customizations

  • Task Stop Strategy - can be overridden to evaluate and stop a task from further runs. By default, task runs forever. A custom implementation of the stop strategy can be passed to the builder using the withTaskStopStrategy() method.
  • Run ID Generation - every run of a KaalTask implementation gets a unique run id. This ID is an UUID by default. If more meaningful ID is needed, an implementation of KaalTaskRunIdGenerator can be provided to the builder using the withTaskIdGenerator() method.
  • Polling Interval - By default Kaal checks the task queue for execution every 100 milliseconds. If lower or higher resolution is needed, pass the same by using the pollingInterval() method in the builder.
  • Executor Service - By default Kaal uses an unbounded cached thread pool that ensures that tasks always get a thread to execute. A custom executor service can be provided to Kaal using the withExecutorService() method of the builder.

Drift and polling interval

Drift is caused due to the polling interval. For example: if a task is supposed to be run at time 1:00 pm, the polling interval is 1 second, there might be a maximum drift of approx 1 second before th job kicks in.

Additionally, there is no concept of interval in Kaal. Once a run is complete, the next run of a task will be scheduled at a delay returned by KaalTask::delayToNextRun(currentDate) and will be adjusted by the drift amount. the scheduling, therefore, may or may not be uniform and can be precisely controlled by the task implementation, providing a lot of flexibility in the implementation. this behaviour can be used to run tasks at fixed intervals, exponential backoff or whatever suits the use-case.

Please make sure the delay returned by delayToNextRun() is more than the polling interval. As can be guessed, an execution delay of less that polling interval will cause undefined behaviour.

License

Apache 2