Reference

Queue
Job
Events
- Global events

Queue

Queue(queueName: string, url?: string, opts?: QueueOptions): Queue

This is the Queue constructor. It creates a new Queue that is persisted in Redis. Everytime the same queue is instantiated it tries to process all the old jobs that may exist from a previous unfinished session.

The optional url argument, allows to specify a redis connection string such as for example: redis://mypassword@myredis.server.com:1234

interface QueueOptions {
  createClient?(type: 'client' | 'subscriber' | 'bclient', config?: Redis.RedisOptions): Redis.Redis | Redis.Cluster;
  limiter?: RateLimiter;
  redis?: RedisOpts;
  prefix?: string = 'bull'; // prefix for all queue keys.
  defaultJobOptions?: JobOpts;
  settings?: AdvancedSettings;
}

interface RateLimiter {
  max: number; // Max number of jobs processed
  duration: number; // per duration in milliseconds
  bounceBack?: boolean = false; // When jobs get rate limited, they stay in the waiting queue and are not moved to the delayed queue
  groupKey?: string; // allows grouping of jobs with the specified key from the data object passed to the Queue#add (ex. "network.handle")
}

RedisOpts are passed directly to ioredis constructor, check ioredis for details. We document here just the most important ones.

interface RedisOpts {
  port?: number = 6379;
  host?: string = localhost;
  db?: number = 0;
  password?: string;
}

interface AdvancedSettings {
  lockDuration: number = 30000; // Key expiration time for job locks.
  lockRenewTime: number = 15000; // Interval on which to acquire the job lock
  stalledInterval: number = 30000; // How often check for stalled jobs (use 0 for never checking).
  maxStalledCount: number = 1; // Max amount of times a stalled job will be re-processed.
  guardInterval: number = 5000; // Poll interval for delayed jobs and added jobs.
  retryProcessDelay: number = 5000; // delay before processing next job in case of internal error.
  backoffStrategies: {}; // A set of custom backoff strategies keyed by name.
  drainDelay: number = 5; // A timeout for when the queue is in drained state (empty waiting for jobs).
  isSharedChildPool: boolean = false; // enables multiple queues on the same instance of child pool to share the same instance.
}

Custom or Shared IORedis Connections

createClient is passed a type to specify the type of connection that Bull is trying to create, and some options that bull would like to set for that connection.

You can merge the provided options with some of your own and create an ioredis connection.

When type is client or subscriber you can return the same connection for multiple queues, which can reduce the number of connections you open to the redis server. Bull does not close or disconnect these connections when queues are closed, so if you need to have your app do a graceful shutdown, you will need to keep references to these Redis connections somewhere and disconnect them after you shut down all the queues.

The bclient connection however is a "blocking client" and is used to wait for new jobs on a single queue at a time. For this reason it cannot be shared and a new connection should be returned each time.

Advanced Settings

Warning: Do not override these advanced settings unless you understand the internals of the queue.

lockDuration: Time in milliseconds to acquire the job lock. Set this to a higher value if you find that your jobs are being stalled because your job processor is CPU-intensive and blocking the event loop (see note below about stalled jobs). Set this to a lower value if your jobs are extremely time-sensitive and it might be OK if they get double-processed (due to them be falsly considered stalled).

lockRenewTime: Interval in milliseconds on which to acquire the job lock. It is set to lockDuration / 2 by default to give enough buffer to renew the lock each time before the job lock expires. It should never be set to a value larger than lockDuration. Set this to a lower value if you're finding that jobs are becoming stalled due to a CPU-intensive job processor function. Generally you shouldn't change this though.

stalledInterval: Interval in milliseconds on which each worker will check for stalled jobs (i.e. unlocked jobs in the active state). See note below about stalled jobs. Set this to a lower value if your jobs are extremely time-sensitive. Set this to a higher value if your Redis CPU usage is high as this check can be expensive. Note that because each worker runs this on its own interval and checks the entire queue, the stalled job actually run much more frequently than this value would imply.

maxStalledCount: The maximum number of times a job can be restarted before it will be permamently failed with the error job stalled more than allowable limit. This is set to a default of 1 with the assumption that stalled jobs should be very rare (only due to process crashes) and you want to be on the safer side of not restarting jobs. Set this higher if stalled jobs are common (e.g. processes crash a lot) and it's generally OK to double process jobs.

guardInterval: Interval in milliseconds on which the delayed job watchdog will run. When running multiple concurrent workers with delayed tasks, the default value of guardInterval will cause spikes on network bandwidth, cpu usage and memory usage. Each concurrent worker will run the delayed job watchdog. In this case set this value to something much higher, e.g. guardInterval = numberOfWorkers*5000. Set to a lower value if your Redis connection is unstable and delayed jobs aren't being processed in time.

retryProcessDelay: Time in milliseconds in which to wait before trying to process jobs, in case of a Redis error. Set to a lower value on an unstable Redis connection.

backoffStrategies: An object containing custom backoff strategies. The key in the object is the name of the strategy and the value is a function that should return the delay in milliseconds. For a full example see Patterns.

drainDelay: A timeout for when the queue is in drained state (empty waiting for jobs). It is used when calling queue.getNextJob(), which will pass it to .brpoplpush on the Redis client.

backoffStrategies: {
  jitter: function () {
    return 5000 + Math.random() * 500;
  }
}

Queue#process

/**
 * Consider these as overloaded functions. Since method overloading doesn't exist in javacript
 * bull recognizes the desired function call by checking the parameters' types. Make sure you
 * comply with one of the below defined patterns.
 *
 * Note: Concurrency defaults to 1 if not specified.
 */
process(processor: ((job, done?) => Promise<any>) | string)
process(concurrency: number, processor: ((job, done?) => Promise<any>) | string)
process(name: string, processor: ((job, done?) => Promise<any>) | string)
process(name: string, concurrency: number, processor: ((job, done?) => Promise<any>) | string)

Defines a processing function for the jobs in a given Queue.

The callback is called every time a job is placed in the queue. It is passed an instance of the job as first argument.

If the callback signature contains the second optional done argument, the callback will be passed a done callback to be called after the job has been completed. The done callback can be called with an Error instance, to signal that the job did not complete successfully, or with a result as second argument (e.g.: done(null, result);) when the job is successful. Errors will be passed as a second argument to the "failed" event; results, as a second argument to the "completed" event.

If, however, the callback signature does not contain the done argument, a promise must be returned to signal job completion. If the promise is rejected, the error will be passed as a second argument to the "failed" event. If it is resolved, its value will be the "completed" event's second argument.

You can specify a concurrency argument. Bull will then call your handler in parallel respecting this maximum value.

A process function can also be declared as a separate process. This will make a better use of the available CPU cores and run the jobs in parallel. This is a perfect way to run blocking code. Just specify an absolute path to a processor module. i.e. a file exporting the process function like this:

// my-processor.js
module.exports = function (job) {
  // do some job

  return value;
};

You can return a value or a promise to signal that the job has been completed.

A name argument can be provided so that multiple process functions can be defined per queue. A named process will only process jobs that matches the given name. However, if you define multiple named process functions in one Queue, the defined concurrency for each process function stacks up for the Queue. See the following examples:

/***
 * For each named processor, concurrency stacks up, so any of these three process functions
 * can run with a concurrency of 125. To avoid this behaviour you need to create an own queue
 * for each process function.
 */
const loadBalancerQueue = new Queue('loadbalancer');
loadBalancerQueue.process('requestProfile', 100, requestProfile);
loadBalancerQueue.process('sendEmail', 25, sendEmail);
loadBalancerQueue.process('sendInvitation', 0, sendInvite);

const profileQueue = new Queue('profile');
// Max concurrency for requestProfile is 100
profileQueue.process('requestProfile', 100, requestProfile);

const emailQueue = new Queue('email');
// Max concurrency for sendEmail is 25
emailQueue.process('sendEmail', 25, sendEmail);

Specifying * as the process name will make it the default processor for all named jobs. It is frequently used to process all named jobs from one process function:

const differentJobsQueue = new Queue('differentJobsQueue');
differentJobsQueue.process('*', processFunction);
differentJobsQueue.add('jobA', data, opts);
differentJobsQueue.add('jobB', data, opts);

Note: in order to determine whether job completion is signaled by returning a promise or calling the done callback, Bull looks at the length property of the callback you pass to it. So watch out, as the following won't work:

// THIS WON'T WORK!!
queue.process(function (job, done) {
  // Oops! done callback here!
  return Promise.resolve();
});

This, however, will:

queue.process(function (job) {
  // No done callback here :)
  return Promise.resolve();
});

Queue#add

add(name?: string, data: object, opts?: JobOpts): Promise<Job>

Creates a new job and adds it to the queue. If the queue is empty the job will be executed directly, otherwise it will be placed in the queue and executed as soon as possible.

An optional name can be added, so that only process functions defined for that name (also called job type) will process the job.

Note: You need to define processors for all the named jobs that you add to your queue or the queue will complain that you are missing a processor for the given job, unless you use the * as job name when defining the processor.

interface JobOpts {
  priority: number; // Optional priority value. ranges from 1 (highest priority) to MAX_INT  (lowest priority). Note that
  // using priorities has a slight impact on performance, so do not use it if not required.

  delay: number; // An amount of milliseconds to wait until this job can be processed. Note that for accurate delays, both
  // server and clients should have their clocks synchronized. [optional].

  attempts: number; // The total number of attempts to try the job until it completes.

  repeat: RepeatOpts; // Repeat job according to a cron specification, see below for details.

  backoff: number | BackoffOpts; // Backoff setting for automatic retries if the job fails, default strategy: `fixed`

  lifo: boolean; // if true, adds the job to the right of the queue instead of the left (default false)
  timeout: number; // The number of milliseconds after which the job should fail with a timeout error [optional]

  jobId: number | string; // Override the job ID - by default, the job ID is a unique
  // integer, but you can use this setting to override it.
  // If you use this option, it is up to you to ensure the
  // jobId is unique. If you attempt to add a job with an id that
  // already exists, it will not be added (see caveat below about repeatable jobs).

  removeOnComplete: boolean | number; // If true, removes the job when it successfully
  // completes. A number specified the amount of jobs to keep. Default behavior is to keep the job in the completed set.

  removeOnFail: boolean | number; // If true, removes the job when it fails after all attempts. A number specified the amount of jobs to keep
  // Default behavior is to keep the job in the failed set.
  stackTraceLimit: number; // Limits the amount of stack trace lines that will be recorded in the stacktrace.
}

Timeout Implementation

It is important to note that jobs are not proactively stopped after the given timeout. The job is marked as failed and the job's promise is rejected, but Bull has no way to stop the processor function externally.

If you need to a job to stop processing after it times out, here are a couple suggestions:

Have the job itself periodically check job.getStatus(), and exit if the status becomes 'failed'
Implement the job as a cancelable promise. If the processor's promise has a cancel() method, it will be called when a job times out, and the job can respond accordingly. (Note: currently this only works for native Promises, see #2203
If you have a way to externally stop a job, add a listener for the failed event and do so there.

Repeated Job Details

interface RepeatOpts {
  cron?: string; // Cron string
  tz?: string; // Timezone
  startDate?: Date | string | number; // Start date when the repeat job should start repeating (only with cron).
  endDate?: Date | string | number; // End date when the repeat job should stop repeating.
  limit?: number; // Number of times the job should repeat at max.
  every?: number; // Repeat every millis (cron setting cannot be used together with this setting.)
  count?: number; // The start value for the repeat iteration count.
  readonly key: string; // The key for the repeatable job metadata in Redis.
}

Adding a job with the repeat option set will actually do two things immediately: create a Repeatable Job configuration, and schedule a regular delayed job for the job's first run. This first run will be scheduled "on the hour", that is if you create a job that repeats every 15 minutes at 4:07, the job will first run at 4:15, then 4:30, and so on. If startDate is set, the job will not run before startDate, but will still run "on the hour". In the previous example, if startDate was set for some day at 6:05, the same day, the first job would run on that day at 6:15.

The cron expression uses the cron-parser library, see their docs for more details.

The Repeatable Job configuration is not a job, so it will not show up in methods like getJobs(). To manage Repeatable Job configurations, use getRepeatableJobs() and similar. This also means repeated jobs do not participate in evaluating jobId uniqueness - that is, a non-repeatable job can have the same jobId as a Repeatable Job configuration, and two Repeatable Job configurations can have the same jobId as long as they have different repeat options.

That is, the following code will result in three jobs being created (one immediate and two delayed):

await queue.add({}, { jobId: 'example', repeat: { every: 5 * 1000 } })
await queue.add({}, { jobId: 'example', repeat: { every: 5 * 1000 } }) // Will not be created, same repeat configuration
await queue.add({}, { jobId: 'example', repeat: { every: 10 * 1000 } }) // Will be created, different repeat configuration
await queue.add({}, { jobId: 'example' }) // Will be created, no regular job with this id
await queue.add({}, { jobId: 'example' }) // Will not be created, conflicts with previous regular job

Backoff Options

interface BackoffOpts {
  type: string; // Backoff type, which can be either `fixed` or `exponential`. A custom backoff strategy can also be specified in `backoffStrategies` on the queue settings.
  delay: number; // Backoff delay, in milliseconds.
}

Queue#addBulk

addBulk(jobs: { name?: string, data: object, opts?: JobOpts }[]): Promise<Job[]>

Creates array of jobs and adds them to the queue. They follow the same signature as Queue#add.

Queue#pause

pause(isLocal?: boolean, doNotWaitActive?: boolean): Promise

Returns a promise that resolves when the queue is paused. A paused queue will not process new jobs until resumed, but current jobs being processed will continue until they are finalized. The pause can be either global or local. If global, all workers in all queue instances for a given queue will be paused. If local, just this worker will stop processing new jobs after the current lock expires. This can be useful to stop a worker from taking new jobs prior to shutting down.

If doNotWaitActive is true, pause will not wait for any active jobs to finish before resolving. Otherwise, pause will wait for active jobs to finish. See Queue#whenCurrentJobsFinished for more information.

Pausing a queue that is already paused does nothing.

Queue#isPaused

isPaused(isLocal?: boolean): Promise<boolean>

Checks if the queue is paused. Pass true if you need to know if this particular instance is paused.

Queue#resume

resume(isLocal?: boolean): Promise

Returns a promise that resolves when the queue is resumed after being paused. The resume can be either local or global. If global, all workers in all queue instances for a given queue will be resumed. If local, only this worker will be resumed. Note that resuming a queue globally will not resume workers that have been paused locally; for those, resume(true) must be called directly on their instances.

Resuming a queue that is not paused does nothing.

Queue#whenCurrentJobsFinished

whenCurrentJobsFinished(): Promise<Void>

Returns a promise that resolves when all jobs currently being processed by this worker have finished.

Queue#count

count(): Promise<number>

Returns a promise that returns the number of jobs in the queue, waiting or delayed. Since there may be other processes adding or processing jobs, this value may be true only for a very small amount of time.

Queue#removeJobs

removeJobs(pattern: string): Promise<void>

Removes all the jobs which jobId matches the given pattern. The pattern must follow redis glob-style pattern (syntax)[https://redis.io/commands/keys]

Example:

myQueue.removeJobs('?oo*').then(function () {
  console.log('done removing jobs');
});

Will remove jobs with ids such as: "boo", "foofighter", etc.

Note: This method does not affect Repeatable Job configurations, instead use removeRepeatable() or removeRepeatableByKey()

Queue#empty

empty(): Promise

Drains a queue deleting all the input lists and associated jobs.

Note: This function only removes the jobs that are waiting to be processed by the queue or delayed. Jobs in other states (active, failed, completed) and Repeatable Job configurations will remain, and repeatable jobs will continue to be created on schedule.

To remove other job statuses, use clean(), and to remove everything including Repeatable Job configurations, use obliterate().

Queue#close

close(): Promise

Closes the underlying Redis client. Use this to perform a graceful shutdown.

const Queue = require('bull');
const queue = Queue('example');

const after100 = _.after(100, function () {
  queue.close().then(function () {
    console.log('done');
  });
});

queue.on('completed', after100);

close can be called from anywhere, with one caveat: if called from within a job handler the queue won't close until after the job has been processed, so the following won't work:

queue.process(function (job, jobDone) {
  handle(job);
  queue.close().then(jobDone);
});

Instead, do this:

queue.process(function (job, jobDone) {
  handle(job);
  queue.close();
  jobDone();
});

Or this:

queue.process(function (job) {
  queue.close();
  return handle(job).then(...);
});

Queue#getJob

getJob(jobId: string): Promise<Job>

Returns a promise that will return the job instance associated with the jobId parameter. If the specified job cannot be located, the promise will be resolved to null.

Note: This method does not return Repeatable Job configurations, to do so see getRepeatableJobs()

Queue#getJobs

getJobs(types: JobStatus[], start?: number, end?: number, asc?: boolean): Promise<Job[]>

Returns a promise that will return an array of job instances of the given job statuses. Optional parameters for range and ordering are provided.

Note: The start and end options are applied per job statuses. For example, if there are 10 jobs in state completed and 10 jobs in state active, getJobs(['completed', 'active'], 0, 4) will yield an array with 10 entries, representing the first 5 completed jobs (0 - 4) and the first 5 active jobs (0 - 4).

This method does not return Repeatable Job configurations, to do so see getRepeatableJobs()

Queue#getJobLogs

getJobLogs(jobId: string, start?: number, end?: number): Promise<{
  logs: string[],
  count: number
}>

Returns a object with the logs according to the start and end arguments. The returned count value is the total amount of logs, useful for implementing pagination.

Queue#getRepeatableJobs

getRepeatableJobs(start?: number, end?: number, asc?: boolean): Promise<{
          key: string,
          name: string,
          id: number | string,
          endDate: Date,
          tz: string,
          cron: string,
          every: number,
          next: number
        }[]>

Returns a promise that will return an array of Repeatable Job configurations. Optional parameters for range and ordering are provided.

Queue#removeRepeatable

removeRepeatable(name?: string, repeat: RepeatOpts): Promise<void>

Removes a given Repeatable Job configuration. The RepeatOpts needs to be the same as the ones used for the job when it was added.

Queue#removeRepeatableByKey

removeRepeatableByKey(key: string): Promise<void>

Removes a given Repeatable Job configuration by its key so that no more repeatable jobs will be processed for this particular configuration.

There are currently two ways to get the "key" of a repeatable job.

When first creating the job, queue.add() will return a job object with the key for that job, which you can store for later use:

const job = await queue.add('remove', { example: 'data' }, { repeat: { every: 1000 } });
// store job.opts.repeat.key somewhere...
const repeatableKey = job.opts.repeat.key;

// ...then later...
await queue.removeRepeatableByKey(repeatableKey);

Otherwise, you can list all repeatable jobs with getRepeatableJobs(), find the job you want to remove in the list, and use the key there to remove it:

await queue.add('remove', { example: 'data' }, { jobId: 'findMe', repeat: { every: 1000 } })

// ... then later ...
const repeatableJobs = await queue.getRepeatableJobs()
const foundJob = repeatableJobs.find(job => job.id === 'findMe')
await queue.removeRepeatableByKey(foundJob.key)

Queue#getJobCounts

getJobCounts() : Promise<JobCounts>

Returns a promise that will return the job counts for the given queue.

  interface JobCounts {
    waiting: number,
    active: number,
    completed: number,
    failed: number,
    delayed: number
  }
}

Queue#getCompletedCount

getCompletedCount() : Promise<number>

Returns a promise that will return the completed job counts for the given queue.

Queue#getFailedCount

getFailedCount() : Promise<number>

Returns a promise that will return the failed job counts for the given queue.

Queue#getDelayedCount

getDelayedCount() : Promise<number>

Returns a promise that will return the delayed job counts for the given queue.

Queue#getActiveCount

getActiveCount() : Promise<number>

Returns a promise that will return the active job counts for the given queue.

Queue#getWaitingCount

getWaitingCount() : Promise<number>

Returns a promise that will return the waiting job counts for the given queue.

Queue#getPausedCount

DEPRECATED Since only the queue can be paused, getWaitingCount gives the same result.

getPausedCount() : Promise<number>

Returns a promise that will return the paused job counts for the given queue.

Getters

The following methods are used to get the jobs that are in certain states.

The GetterOpts can be used for configure some aspects from the getters.

interface GetterOpts
  excludeData: boolean; // Exclude the data field of the jobs.

Queue#getWaiting

getWaiting(start?: number, end?: number, opts?: GetterOpts) : Promise<Array<Job>>

Returns a promise that will return an array with the waiting jobs between start and end.

Queue#getActive

getActive(start?: number, end?: number, opts?: GetterOpts) : Promise<Array<Job>>

Returns a promise that will return an array with the active jobs between start and end.

Queue#getDelayed

getDelayed(start?: number, end?: number, opts?: GetterOpts) : Promise<Array<Job>>

Returns a promise that will return an array with the delayed jobs between start and end.

Queue#getCompleted

getCompleted(start?: number, end?: number, opts?: GetterOpts) : Promise<Array<Job>>

Returns a promise that will return an array with the completed jobs between start and end.

Queue#getFailed

getFailed(start?: number, end?: number, opts?: GetterOpts) : Promise<Array<Job>>

Returns a promise that will return an array with the failed jobs between start and end.

Queue#getWorkers

getWorkers() : Promise<Array<Object>>

Returns a promise that will return an array workers currently listening or processing jobs. The object includes the same fields as Redis CLIENT LIST command.

Queue#clean

clean(grace: number, status?: string, limit?: number): Promise<number[]>

Tells the queue remove jobs of a specific type created outside of a grace period.

Example

queue.on('cleaned', function (jobs, type) {
  console.log('Cleaned %s %s jobs', jobs.length, type);
});

//cleans all jobs that completed over 5 seconds ago.
await queue.clean(5000);
//clean all jobs that failed over 10 seconds ago.
await queue.clean(10000, 'failed');

Queue#obliterate

obliterate(ops?: { force: boolean}): Promise<void>

Completely removes a queue with all its data. In order to obliterate a queue there cannot be active jobs, but this behaviour can be overrided with the "force" option.

Note: since this operation can be quite long in duration depending on how many jobs there are in the queue, it is not performed atomically, instead is performed iterativelly. However the queue is always paused during this process, if the queue gets unpaused during the obliteration by another script, the call will fail with the removed items it managed to remove until the failure.

Example

// Removes everything but only if there are no active jobs
await queue.obliterate();

await queue.obliterate({ force: true });

Job

A job includes all data needed to perform its execution, as well as the progress method needed to update its progress.

The most important property for the user is Job#data that includes the object that was passed to Queue#add, and that is normally used to perform the job.

Job#progress

progress(progress?: number | object): Promise

Updates a job progress if called with an argument. Return a promise resolving to the current job's progress if called without argument.

Arguments

  progress: number; Job progress number or any serializable object representing progress or similar.

Job#log

log(row: string): Promise

Adds a log row to this job specific job. Logs can be retrieved using Queue#getJobLogs.

Job#getState

getState(): Promise

Returns a promise resolving to the current job's status (completed, failed, delayed etc.). Possible returns are: completed, failed, delayed, active, waiting, paused, stuck or null.

Please take note that the implementation of this method is not very efficient, nor is it atomic. If your queue does have a very large quantity of jobs, you may want to avoid using this method.

Job#update

update(data: object): Promise

Updated a job data field with the give data object.

Job#remove

remove(): Promise

Removes a job from the queue and from any lists it may be included in.

Job#retry

retry(): Promise

Re-run a job that has failed. Returns a promise that resolves when the job is scheduled for retry.

Job#discard

discard(): Promise

Ensure this job is never ran again even if attemptsMade is less than job.attempts.

Job#promote

promote(): Promise

Promotes a job that is currently "delayed" to the "waiting" state and executed as soon as possible.

Job#finished

finished(): Promise

Returns a promise that resolves or rejects when the job completes or fails.

Job#moveToCompleted

moveToCompleted(returnValue: any, ignoreLock: boolean, notFetch?: boolean): Promise<string[Jobdata, JobId] | null>

Moves a job to the completed queue. Pulls a job from 'waiting' to 'active' and returns a tuple containing the next jobs data and id. If no job is in the waiting queue, returns null. Set notFetch to true to avoid prefetching the next job in the queue.

Job#moveToFailed

moveToFailed(errorInfo:{ message: string; }, ignoreLock?:boolean): Promise<string[Jobdata, JobId] | null>

Moves a job to the failed queue. Pulls a job from 'waiting' to 'active' and returns a tuple containing the next jobs data and id. If no job is in the waiting queue, returns null.

Events

A queue emits also some useful events:

.on('error', function (error) {
  // An error occured.
})

.on('waiting', function (jobId) {
  // A Job is waiting to be processed as soon as a worker is idling.
});

.on('active', function (job, jobPromise) {
  // A job has started. You can use `jobPromise.cancel()`` to abort it.
})

.on('stalled', function (job) {
  // A job has been marked as stalled. This is useful for debugging job
  // workers that crash or pause the event loop.
})

.on('lock-extension-failed', function (job, err) {
  // A job failed to extend lock. This will be useful to debug redis
  // connection issues and jobs getting restarted because workers
  // are not able to extend locks.
});

.on('progress', function (job, progress) {
  // A job's progress was updated!
})

.on('completed', function (job, result) {
  // A job successfully completed with a `result`.
})

.on('failed', function (job, err) {
  // A job failed with reason `err`!
})

.on('paused', function () {
  // The queue has been paused.
})

.on('resumed', function (job) {
  // The queue has been resumed.
})

.on('cleaned', function (jobs, type) {
  // Old jobs have been cleaned from the queue. `jobs` is an array of cleaned
  // jobs, and `type` is the type of jobs cleaned.
});

.on('drained', function () {
  // Emitted every time the queue has processed all the waiting jobs (even if there can be some delayed jobs not yet processed)
});

.on('removed', function (job) {
  // A job successfully removed.
});

Global events

Events are local by default — in other words, they only fire on the listeners that are registered on the given worker. If you need to listen to events globally, for example from other servers across redis, just prefix the event with 'global:':

// Will listen locally, just to this queue...
queue.on('completed', listener):

// Will listen globally, to instances of this queue...
queue.on('global:completed', listener);

When working with global events whose local counterparts pass a Job instance to the event listener callback, notice that global events pass the job's ID instead.

If you need to access the Job instance in a global listener, use Queue#getJob to retrieve it. However, remember that if removeOnComplete is enabled when adding the job, the job will no longer be available after completion. Should you need to both access the job and remove it after completion, you can use Job#remove to remove it in the listener.

// Local events pass the job instance...
queue.on('progress', function (job, progress) {
  console.log(`Job ${job.id} is ${progress * 100}% ready!`);
});

queue.on('completed', function (job, result) {
  console.log(`Job ${job.id} completed! Result: ${result}`);
  job.remove();
});

// ...whereas global events only pass the job ID:
queue.on('global:progress', function (jobId, progress) {
  console.log(`Job ${jobId} is ${progress * 100}% ready!`);
});

queue.on('global:completed', function (jobId, result) {
  console.log(`Job ${jobId} completed! Result: ${result}`);
  queue.getJob(jobId).then(function (job) {
    job.remove();
  });
});

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Reference

Queue

Custom or Shared IORedis Connections

Advanced Settings

Queue#process

Queue#add

Timeout Implementation

Repeated Job Details

Backoff Options

Queue#addBulk

Queue#pause

Queue#isPaused

Queue#resume

Queue#whenCurrentJobsFinished

Queue#count

Queue#removeJobs

Queue#empty

Queue#close

Queue#getJob

Queue#getJobs

Queue#getJobLogs

Queue#getRepeatableJobs

Queue#removeRepeatable

Queue#removeRepeatableByKey

Queue#getJobCounts

Queue#getCompletedCount

Queue#getFailedCount

Queue#getDelayedCount

Queue#getActiveCount

Queue#getWaitingCount

Queue#getPausedCount

Getters

Queue#getWaiting

Queue#getActive

Queue#getDelayed

Queue#getCompleted

Queue#getFailed

Queue#getWorkers

Queue#clean

Example

Queue#obliterate

Example

Job

Job#progress

Arguments

Job#log

Job#getState

Job#update

Job#remove

Job#retry

Job#discard

Job#promote

Job#finished

Job#moveToCompleted

Job#moveToFailed

Events

Global events