Rooster is a job scheduler that runs in multiple queues with jobs being executed in parallel.
import "github.com/arkadyb/rooster"
To create new rooster item use NewRooster
function that takes two arguments - selector
and queues
where selector
is function of type QueueSelectorFunc
that describes a way next execution queue is selected for a new scheduled job.
You may define your own QueueSelectorFunc
to select queue depending on content of your job or scheduler.
A simple Round Robin selector may look like
roundRobinSelector:=func() rooster.QueueSelectorFunc {
selectedQueueIndex := 0
return func(queues []*rooster.Queue) *rooster.Queue {
q := queues[selectedQueueIndex]
selectedQueueIndex++
if selectedQueueIndex >= len(queues) {
selectedQueueIndex = 0
}
return q
}
}
Queues
are the workload chains that store and execute jobs. User rooster.NewQueue()
function to create new queue.
scheduler:=rooster.NewRooster(roundRobinSelector, []*rooster.Queue{rooster.NewQueue(), rooster.NewQueue()})
Here rooster would be created with two execution queues with one being selected to run scheduled job in round robin style.
Rooster exposes Enqueue
function to schedule new job and Dequeue
to remove job before its being executed. Use rooster.NewJob()
function to create a new job.
Function takes two arguments - time
when job should be executed and JobFunc
.
scheduler.Enqueue(NewJob(time.Now().Add(5 * time.Second), func(j *Job){
fmt.Printf("Job %s has been executed\n", j.GetID())
}))
Interceptors may be included into execution chain for given Queue
. Specify interceptor functions when creating new queue
NewQueue(func(job Job){
fmt.Printf("First interceptor run for job %s\n", job.GetID())
}, func(job Job){
fmt.Printf("Second interceptor run for job %s\n", job.GetID())
})
The MIT License (MIT)