Firebase Job Dispatcher

Intelligent and Comprehensive Job Scheduling

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last updated: 2017-05

This guide discusses how to schedule background work using the Firebase Job Dispatcher library from Google.


One of the best ways to keep an Android application responsive to the user is to ensure that complex or long running work is performed in the background. However, it is important that background work will not negatively impact the user's experience with the device.

For example, a background job might poll a website every few minutes to query for changes to a particular dataset. This seems benign, however it could have a disastrous impact on the device. The application will end up waking up the device, elevating the CPU to a higher power state, powering up the radios, making the network requests, and then processing the results. It gets worse because the device will not immediately power down and return to the low-power idle state. Poorly scheduled background work may inadvertently keep the device in a state with unnecessary and excessive power requirements. Effectively, this seeming innocent activity (polling a website) will render the device unusable in a relatively short period of time.

Android already provides several APIs to help with performing work in the background, however none of these are a comprehensive solution:

  • Intent Services – Intent Services are great for performing the work, however they provide no way to schedule work.
  • AlarmManager – These APIs only allow work to be scheduled, but provide no way to actually perform the work. Also, the AlarmManager only allows time based constraints, which means raise an alarm at a certain time or after a certain period of time has elapsed.
  • JobScheduler – The JobSchedule is a great API that works with the operating system to schedule jobs. However, it is only available for those Android apps that target API level 21 or higher.
  • Broadcast Receivers – An Android app can setup broadcast receivers to perform work in response to system wide events or Intents. However, broadcast receivers don't provide any control over when the job should be run. Also changes in the Android operating system will restrict when broadcast receivers will work, or the kinds of work that they can respond to.
  • Google Cloud Message Network Manager – For a long time this was, arguably, the best way to intelligently schedule background work. However, the GCMNetworkManager has since been deprecated.

There are two key features to effectively performing background work (sometimes referred to as a background job or a job):

  1. Intelligently scheduling the work – It is important that when an application is doing work in the background that it does so as a good citizen. Ideally, the application should not demand that a job be run. Instead, the application should specify conditions that must be met for when the job can run, and then schedule that that work to run when the conditions are met. This allows Android to intelligently perform work. For example, network requests may be batched to run all at the same time to make maximum use of overhead involved with networking.
  2. Encapsulating the work – The code to perform the background work should be encapsulated in a discrete component that can be run independently of the user interface and will be relatively easy to reschedule if the work fails to complete for some reason.

The Firebase Job Dispatcher is a library from Google that provides a fluent API to simplify scheduling background work. It is intended to be the replacement for Google Cloud Manager. The Firebase Job Dispatcher consists of the following APIs:

  • A Firebase.JobDispatcher.JobService is an abstract class that must be extended with the logic that will run in the background job.
  • A Firebase.JobDispatcher.JobTrigger declares when the job should be started. This is typically expressed as a window of time, for example, wait at least 30 seconds before starting the job, but run the job within 5 minutes.
  • A Firebase.JobDispatcher.RetryStrategy contains information about what should be done when a job fails to execute properly. The retry strategy specifies how long to wait before trying to run the job again.
  • A Firebase.JobDispatcher.Constraint is an optional value that describes a condition that must be met before the job can run, such as the device is on an unmetered network or charging.
  • The Firebase.JobDispatcher.Job is an API that unifies the previous APIs in to a unit-of-work that can be scheduled by the JobDispatcher. The Job.Builder class is used to instantiate a Job.
  • A Firebasee.JobDispatcher.JobDispatcher uses the previous three APIs to schedule the work with the operating system and to provide a way to cancel jobs, if necessary.

To schedule work with the Firebase Job Dispatcher, a Xamarin.Android application must encapsulate the code in a type that extends the JobService class. JobService has three lifecycle methods that that can be called during the lifetime of the job:

  • bool OnStartJob(IJobParameters parameters) – This method is where the work will occur and should always be implemented. It runs on the main thread. This method will return true if there is work remaining, or false if the work is done.
  • bool OnStopJob(IJobParameters parameters) – This is called when the job is stopped for some reason. It should return true if the job should be rescheduled for later.
  • JobFinished(IJobParameters parameters, bool needsReschedule) – This method is called when the JobService has finished any asynchronous work.

To schedule a job, the application will instantiate a JobDispatcher object. Then, a Job.Builder is used to create a Job object, which is provided to the JobDispatcher which will try and schedule the job to run.

This guide will discuss how to add the Firebase Job Dispatcher to a Xamarin.Android application and use it to schedule background work.


The Firebase Job Dispatcher requires Android API level 9 or higher. The Firebase Job Dispatcher library relies on some components provided by Google Play Services; the device must have Google Play Services installed.

Using the Firebase Job Dispatcher Library in Xamarin.Android

To get started with the Firebase Job Dispatcher, first add the Xamarin.Firebase.JobDispatcher NuGet package to the Xamarin.Android project. Search the NuGet Package Manager for the Xamarin.Firebase.Jobdispatcher package.

After adding the Firebase Job Dispatcher library, create a JobService class and then schedule it to run with an instance of the FirebaseJobDispatcher.

Creating a JobService

All work performed by the Firebase Job Dispatcher library must be done in a type that extends the Firebase.JobDispatcher.JobService abstract class. Creating a JobService is very similar to creating a Service with the Android framework:

  1. Extend the JobService class
  2. Decorate the subclass with the ServiceAttribute. Although not strictly required, it is recommended to explicitly set the Name parameter to help with debugging the JobService.
  3. Add an IntentFilter to declare the JobService in the AndroidManifest.xml. This will also help the Firebase Job Dispatcher library locate and invoke the JobService.

The following code is an example of the simplest JobService for an application:

[Service(Name = "com.xamarin.fjdtestapp.DemoJob")]
[IntentFilter(new[] {FirebaseJobServiceIntent.Action})]
public class DemoJob : JobService
    static readonly string TAG = "X:DemoService";

    public override bool OnStartJob(IJobParameters jobParameters)
        Log.Debug(TAG, "DemoJob::OnStartJob");
        // Note: This runs on the main thread. Anything that takes longer than 16 milliseconds
         // should be run on a seperate thread.

        return false; // return false because there is no more work to do.

    public override bool OnStopJob(IJobParameters jobParameters)
        Log.Debug(TAG, "DemoJob::OnStartJob");
        // nothing to do.
        return false;

Creating a FirebaseJobDispatcher

Before any work can be scheduled, it is necessary to create a Firebase.JobDispatcher.FirebaseJobDispatcher object. The FirebaseJobDispatcher is responsible for scheduling a JobService. The following code snippet is one way to create an instance of the FirebaseJobDispatcher:

// This is the "Java" way to create a FirebaseJobDispatcher object
IDriver driver = new GooglePlayDriver(context);
FirebaseJobDispatcher dispatcher = new FirebaseJobDispatcher(driver);

In the previous code snippet, the GooglePlayDriver is class that helps the FirebaseJobDispatcher interact with some of the scheduling APIs in Google Play Services on the device. The parameter context is any Android Context, such as an Activity. Currently the GooglePlayDriver is the only IDriver implementation in the Firebase Job Dispatcher library.

The Xamarin.Android binding for the Firebase Job Dispatcher provides an extension method to create a FirebaseJobDispatcher from the Context:

FirebaseJobDispatcher dispatcher = context.CreateJobDispatcher();

Once the FirebaseJobDispatcher has been instantiated, it is possible to create a Job and run the code in the JobService class. The Job is created by a Job.Builder object and will be discussed in the next section.

Creating a Firebase.JobDispatcher.Job with the Job.Builder

The Firebase.JobDispatcher.Job class is responsible for encapsulating the meta-data necessary to run a JobService. AJob contains information such as any constraint that must be met before the job can run, if the Job is recurring, or any triggers that will cause the job to be run. As a bare minimum, a Job must have a tag (a unique string that identifies the job to the FirebaseJobDispatcher) and the type of the JobService that should be run. The Firebase Job Dispatcher will instantiate the JobService when it is time to run the job. A Job is created by using an instance of the Firebase.JobDispatcher.Job.JobBuilder class.

The following code snippet is the simplest example of how to create a Job using the Xamarin.Android binding:

Job myJob = dispatcher.NewJobBuilder()

The Job.Builder will perform some basic validation checks on the input values for the job. An exception will be thrown if it not possible for the Job.Builder to create a Job. The Job.Builder will create a Job with the following defaults:

  • A Job's lifetime (how long it will be scheduled to run) is only until the device reboots – once the device reboots the Job is lost.
  • A Job is not recurring – it will only run once.
  • A Job will be scheduled to run as soon as possible.
  • The default retry strategy for a Job is to use an exponential backoff (discussed on more detail below in the section Setting a RetryStrategy)

Scheduling a Job

After creating the Job, it needs to be scheduled with the FirebaseJobDispatcher before it is run. There are two methods for scheduling a Job:

// This will throw an exception if there was a problem scheduling the job

// This method will not throw an exception; an integer result value is returned
int scheduleResult = dispatcher.Schedule(myJob);

The value returned by FirebaseJobDispatcher.Schedule will be one of the following integer values:

  • FirebaseJobDispatcher.ScheduleResultSuccess – The Job was successfully scheduled.
  • FirebaseJobDispatcher.ScheduleResultUnknownError – Some unknown problem occurred which prevented the Job from being scheduled.
  • FirebaseJobDispatcher.ScheduleResultNoDriverAvailable – An invalid IDriver was used or the IDriver was somehow unavailable.
  • FirebaseJobDispatcher.ScheduleResultUnsupportedTrigger – The Trigger was not supported.
  • FirebaseJobDispatcher.ScheduleResultBadService – The service is not configured correctly or is unavailable.

Configuring a Job

It is possible to customize a job. Examples of how a job may be customized include the following:

  • Pass Parameters to a Job – A Job may require additional values to perform its work, for example downloading a file.
  • Set Constraints – It may be necessary to only run a job when certain conditions are met. For example, only run a Job when the device is charging.
  • Specify when a Job should run – The Firebase Job Dispatcher allows applications to specify a time when the job should run.
  • Declare a retry strategy for failed jobs – A retry strategy provides guidance to the FirebaseJobDispatcher on what to do with Jobs that fail to complete.

Each of these topics will be discussed more in the following sections.

Passing Parameters to a Job

Parameters are passed to a job by creating a Bundle that is passed along with the Job.Builder.SetExtras method:

Bundle jobParameters = new Bundle();
jobParameters.PutInt(FibonacciCalculatorJob.FibonacciPositionKey, 25);

Job myJob = dispatcher.NewJobBuilder()

The Bundle is accessed from the IJobParameters.Extras property on the OnStartJob method:

public override bool OnStartJob(IJobParameters jobParameters)
    int position = jobParameters.Extras.GetInt(FibonacciPositionKey, DEFAULT_VALUE);

    // rest of code omitted

Setting Constraints

Constraints can help reduces costs or battery drain on the device. The Firebase.JobDispatcher.Constraint class defines these constraints as integer values:

  • Constraint.OnUnmeteredNetwork – Only run the job when the device is connected to an unmetered network. This is useful to prevent the user from incurring data charges.
  • Constraint.OnAnyNetwork – Run the job on whatever network the device is connected to. If specified along with Constraint.OnUnmeteredNetwork, this value will take priority.
  • Constraint.DeviceCharging – Run the job only when the device is charging.

Constraints are set with the Job.Builder.SetConstraint method:

Job myJob = dispatcher.NewJobBuilder()

Setting Job Triggers

The JobTrigger provides guidance to the operating system about when the job should start. A JobTrigger has an executing window that defines a scheduled time for when the Job should run. The execution window has a start window value and an end window value. The start window is the number of seconds that the device should wait before running the job and the end window value is the maximum number of seconds to wait before running the Job.

A JobTrigger can be created with the Firebase.Jobdispatcher.Trigger.ExecutionWindow method. For example Trigger.ExecutionWindow(15,60) means that the job should run between 15 and 60 seconds from when it is scheduled. The Job.Builder.SetTrigger method is used to

JobTrigger myTrigger = Trigger.ExecutionWindow(15,60);
Job myJob = dispatcher.NewJobBuilder()

The default JobTrigger for a job is represented by the value Trigger.Now, which specifies that a job be run as soon as possible after being scheduled..

Setting a RetryStrategy

The Firebase.JobDispatcher.RetryStrategy is used to specify how much of a delay a device should use before trying to re-run a failed job. A RetryStrategy has a policy, which defines what time-base algorithm will be used to re-schedule the failed job, and an execution window that specifies a window in which the job should be scheduled. This rescheduling window is defined by two values. The first value is the number of seconds to wait before rescheduling the job (the initial backoff value), and the second number is the maximum number of seconds before the job must run (the maximum backoff value).

The two types of retry policies are identified by these int values:

  • RetryStrategy.RetryPolicyExponential – An exponential backoff policy will increase the initial backoff value exponentially after each failure. The first time a job fails, the library will wait the _initial interval that is specified before rescheduling the job – example 30 seconds. The second time the job fails, the library will wait at least 60 seconds before trying to run the job. After the third failed attempt, the library will wait 120 seconds, and so on. The default RetryStrategy for the Firebase Job Dispatcher library is represented by the RetryStrategy.DefaultExponential object. It has an initial backoff of 30 seconds and a maximum backoff of 3600 seconds.
  • RetryStrategy.RetryPolicyLinear – This strategy is a linear backoff that the job should be rescheduled to run at set intervals (until it succeeds). Linear backoff is best suited for work that must be completed as soon as possible or for problems that will quickly resolve themselves. The Firebase Job Dispatcher library defines a RetryStrategy.DefaultLinear which has a rescheduling window of at least 30 seconds and up to 3600 seconds.

It is possible to define a custom RetryStrategy with the FirebaseJobDispatcher.NewRetryStrategy method. It takes three parameters:

  1. int policy – The policy is one of the previous RetryStrategy values, RetryStrategy.RetryPolicyLinear, or RetryStrategy.RetryPolicyExponential.
  2. int intialBackoffSeconds – The initial backoff is a delay, in seconds, that is required before trying to run the job again. The default value for this is 30 seconds.
  3. int maximumBackoffSeconds – The maximum backoff value declares the maximum number of seconds to delay before trying to run the job again. The default value is 3600 seconds.
RetryStrategy retry = dispatcher.NewRetryStrategy(RetryStrategy.RetryPolicyLinear, initialBackoffSeconds, maximumBackoffSet);

// Create a Job and set the RetryStrategy via the Job.Builder
Job myJob = dispatcher.NewJobBuilder()

Cancelling a Job

It is possible to cancel all the jobs that have been scheduled, or just a single job using the FirebaseJobDispatcher.CancelAll() method or the FirebaseJobDispatcher.Cancel(string) method:

int cancelResult = dispatcher.CancelAll(); 

// to cancel a single job:

int cancelResult = dispatcher.Cancel("unique-tag-for-job");

Either method will return an integer value:

  • FirebaseJobDispatcher.CancelResultSuccess – The job was successfully cancelled.
  • FirebaseJobDispatcher.CancelResultUnknownError – An error prevented the job from being cancelled.
  • FirebaseJobDispatcher.CancelResult.NoDriverAvailable – The FirebaseJobDispatcher is unable to cancel the job as there is no valid IDriver available.


This guide discussed how to use the Firebase Job Dispatcher to intelligently perform work in the background. It discussed how to encapsulate the work to be performed as a JobService and how to the FirebaseJobDispatcher to schedule that work, specifying the criteria with a JobTrigger and how failures should be handled with a RetryStrategy.

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