Adding `graphile_worker` library as a dependency

Run this command in a terminal, in your project's directory:

cargo add graphile_worker

To add it manually, edit your project's Cargo.toml file and add to the [dependencies] section:

graphile_worker = "0.11.4"

The graphile_worker library will be automatically available globally. Read the graphile_worker library documentation.

Back to the crate overview.

Readme

Graphile Worker RS

A powerful PostgreSQL-backed job queue for Rust applications, based on Graphile Worker. This is a complete Rust rewrite that offers excellent performance, reliability, and a convenient API.

Overview

Graphile Worker RS allows you to run jobs (such as sending emails, performing calculations, generating PDFs) in the background, so your HTTP responses and application code remain fast and responsive. It's ideal for any PostgreSQL-backed Rust application.

Key highlights:

High performance: Uses PostgreSQL's SKIP LOCKED for efficient job fetching
Low latency: Typically under 3ms from task schedule to execution using LISTEN/NOTIFY
Reliable: Automatically retries failed jobs with exponential backoff
Flexible: Supports scheduled jobs, task queues, cron-like recurring tasks, and more
Type-safe: Uses Rust's type system to ensure job payloads match their handlers

Differences from Node.js version

This port is mostly compatible with the original Graphile Worker, meaning you can run it side by side with the Node.js version. The key differences are:

No support for batch job processing yet (processing array payloads within a single job). Note: batch job scheduling (adding multiple jobs at once) is supported - see "Batch job scheduling" section.
In the Node.js version, each process has its own worker_id. In the Rust version, there is only one worker_id, and jobs are processed in your async runtime thread

Installation

Add the library to your project:

cargo add graphile_worker

Getting Started

1. Define a Task

A task consists of a struct that implements the TaskHandler trait. Each task has:

A struct with Serialize/Deserialize for the payload
A unique identifier string
An async run method that contains the task's logic

use serde::{Deserialize, Serialize};
use graphile_worker::{WorkerContext, TaskHandler, IntoTaskHandlerResult};

#[derive(Deserialize, Serialize)]
struct SendEmail {
    to: String,
    subject: String,
    body: String,
}

impl TaskHandler for SendEmail {
    const IDENTIFIER: &'static str = "send_email";

    async fn run(self, _ctx: WorkerContext) -> impl IntoTaskHandlerResult {
        println!("Sending email to {} with subject '{}'", self.to, self.subject);
        // Email sending logic would go here
        Ok::<(), String>(())
    }
}

2. Configure and Run the Worker

Set up the worker with your configuration options and run it:

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    // Create a PostgreSQL connection pool
    let pg_pool = sqlx::postgres::PgPoolOptions::new()
        .max_connections(5)
        .connect("postgres://postgres:password@localhost/mydb")
        .await?;

    // Initialize and run the worker
    graphile_worker::WorkerOptions::default()
        .concurrency(5)                 // Process up to 5 jobs concurrently
        .schema("graphile_worker")      // Use this PostgreSQL schema
        .define_job::<SendEmail>()      // Register the task handler
        .pg_pool(pg_pool)               // Provide the database connection
        .init()                         // Initialize the worker
        .await?
        .run()                          // Start processing jobs
        .await?;

    Ok(())
}

Custom shutdown handling

Graphile Worker installs OS-level signal handlers (like SIGINT/SIGTERM) so it can shut down gracefully when you press Ctrl+C. If your application already owns the shutdown lifecycle, disable the built-in listeners and call Worker::request_shutdown() when your orchestrator asks the worker to stop:

let worker = graphile_worker::WorkerOptions::default()
    .listen_os_shutdown_signals(false) // prevent installing Ctrl+C handlers
    // ... other configuration
    .init()
    .await?;

tokio::pin! {
    let run_loop = worker.run();
}

tokio::select! {
    // Main worker loop
    result = &mut run_loop => result?,
    // Notify the worker when the host framework wants to stop
    () = on_shutdown() => {
        worker.request_shutdown();
        (&mut run_loop).await; // drain gracefully before returning
    }
}

3. Schedule Jobs

Option A: Schedule a job via SQL

Connect to your database and run the following SQL:

SELECT graphile_worker.add_job(
    'send_email',
    json_build_object(
        'to', 'user@example.com',
        'subject', 'Welcome to our app!',
        'body', 'Thanks for signing up.'
    )
);

Option B: Schedule a job from Rust

// Get a WorkerUtils instance to manage jobs
let utils = worker.create_utils();

// Type-safe method (recommended):
utils.add_job(
    SendEmail {
        to: "user@example.com".to_string(),
        subject: "Welcome to our app!".to_string(),
        body: "Thanks for signing up.".to_string(),
    },
    Default::default(), // Use default job options
).await?;

// Or use the raw method when type isn't available:
utils.add_raw_job(
    "send_email",
    serde_json::json!({
        "to": "user@example.com",
        "subject": "Welcome to our app!",
        "body": "Thanks for signing up."
    }),
    Default::default(),
).await?;

Option C: Batch job scheduling

For efficiency when adding many jobs at once, use batch methods:

// Batch add jobs of the same type (type-safe)
let spec = JobSpec::default();
utils.add_jobs::<SendEmail>(&[
    (SendEmail { to: "user1@example.com".into(), subject: "Hello".into(), body: "...".into() }, &spec),
    (SendEmail { to: "user2@example.com".into(), subject: "Hello".into(), body: "...".into() }, &spec),
    (SendEmail { to: "user3@example.com".into(), subject: "Hello".into(), body: "...".into() }, &spec),
]).await?;

// Batch add jobs of different types (dynamic)
utils.add_raw_jobs(&[
    RawJobSpec {
        identifier: "send_email".into(),
        payload: serde_json::json!({ "to": "user@example.com", "subject": "Hi" }),
        spec: JobSpec::default(),
    },
    RawJobSpec {
        identifier: "process_payment".into(),
        payload: serde_json::json!({ "user_id": 123, "amount": 50 }),
        spec: JobSpec::default(),
    },
]).await?;

Advanced Features

Shared Application State

You can provide shared state to all your tasks using extensions:

use serde::{Deserialize, Serialize};
use graphile_worker::{WorkerContext, TaskHandler, IntoTaskHandlerResult};
use std::sync::{Arc, atomic::{AtomicUsize, Ordering::SeqCst}};

// Define your shared state
#[derive(Clone, Debug)]
struct AppState {
    db_client: Arc<DatabaseClient>,
    api_key: String,
    counter: Arc<AtomicUsize>,
}

// Example database client (just for demonstration)
struct DatabaseClient;
impl DatabaseClient {
    fn new() -> Self { Self }
    async fn find_user(&self, _user_id: &str) -> Result<(), String> { Ok(()) }
}

#[derive(Deserialize, Serialize)]
struct ProcessUserTask {
    user_id: String,
}

impl TaskHandler for ProcessUserTask {
    const IDENTIFIER: &'static str = "process_user";

    async fn run(self, ctx: WorkerContext) -> impl IntoTaskHandlerResult {
        // Access the shared state in your task
        let app_state = ctx.get_ext::<AppState>().unwrap();
        let count = app_state.counter.fetch_add(1, SeqCst);
        
        // Use shared resources
        app_state.db_client.find_user(&self.user_id).await?;
        
        println!("Processed user {}, task count: {}", self.user_id, count);
        Ok::<(), String>(())
    }
}

// Add the extension when configuring the worker
let app_state = AppState {
    db_client: Arc::new(DatabaseClient::new()),
    api_key: "secret_key".to_string(),
    counter: Arc::new(AtomicUsize::new(0)),
};

graphile_worker::WorkerOptions::default()
    .add_extension(app_state)
    .define_job::<ProcessUserTask>()
    // ... other configuration
    .init()
    .await?;

Scheduling Options

You can customize how and when jobs run with the JobSpec builder:

use graphile_worker::{JobSpecBuilder, JobKeyMode};
use chrono::Utc;

// Schedule a job to run after 5 minutes with high priority
let job_spec = JobSpecBuilder::new()
    .run_at(Utc::now() + chrono::Duration::minutes(5))
    .priority(10)
    .job_key("welcome_email_user_123")  // Unique identifier for deduplication
    .job_key_mode(JobKeyMode::Replace)  // Replace existing jobs with this key
    .max_attempts(5)                    // Max retry attempts (default is 25)
    .build();

utils.add_job(SendEmail { /* ... */ }, job_spec).await?;

Job Queues

Jobs with the same queue name run in series (one after another) rather than in parallel:

// These jobs will run one after another, not concurrently
let spec1 = JobSpecBuilder::new()
    .queue_name("user_123_operations")
    .build();

let spec2 = JobSpecBuilder::new()
    .queue_name("user_123_operations")
    .build();

utils.add_job(UpdateProfile { /* ... */ }, spec1).await?;
utils.add_job(SendEmail { /* ... */ }, spec2).await?;

Cron Jobs

You can schedule recurring jobs using crontab syntax:

// Run a task daily at 8:00 AM
let worker = WorkerOptions::default()
    .with_crontab("0 8 * * * send_daily_report")?
    .define_job::<SendDailyReport>()
    // ... other configuration
    .init()
    .await?;

Local Queue

The Local Queue feature batch-fetches jobs from the database and caches them locally, significantly reducing database load in high-throughput scenarios.

use graphile_worker::{WorkerOptions, LocalQueueConfig, RefetchDelayConfig};
use std::time::Duration;

let worker = WorkerOptions::default()
    .local_queue(
        LocalQueueConfig::default()
            .with_size(100)                              // Cache up to 100 jobs
            .with_ttl(Duration::from_secs(300))          // Return unclaimed jobs after 5 minutes
            .with_refetch_delay(
                RefetchDelayConfig::default()
                    .with_duration(Duration::from_millis(100))  // Delay between refetches
                    .with_threshold(10)                         // Refetch when queue drops below 10
            )
    )
    .define_job::<SendEmail>()
    .pg_pool(pg_pool)
    .init()
    .await?;

The Local Queue operates in several modes:

Polling: Actively fetching jobs from the database
Waiting: Jobs are cached locally, serving from cache
TtlExpired: Cache TTL expired, returning jobs to database

Key benefits:

Reduces database round-trips by fetching jobs in batches
Configurable cache size and TTL
Automatic return of unclaimed jobs on shutdown or TTL expiry
Refetch delay prevents thundering herd on empty queues

Lifecycle Hooks

You can observe and intercept job lifecycle events using plugins that implement the Plugin trait. This is useful for logging, metrics, validation, and custom job handling logic.

use std::sync::Arc;
use std::sync::atomic::{AtomicU64, Ordering};
use graphile_worker::{
    Plugin, HookRegistry, HookResult,
    WorkerStart, JobStart, JobComplete, JobFail, BeforeJobRun,
};

struct MetricsPlugin {
    jobs_started: AtomicU64,
    jobs_completed: AtomicU64,
}

impl Plugin for MetricsPlugin {
    fn register(self, hooks: &mut HookRegistry) {
        hooks.on(WorkerStart, async |ctx| {
            println!("Worker {} started", ctx.worker_id);
        });

        let jobs_started = Arc::new(self.jobs_started);
        let jobs_completed = Arc::new(self.jobs_completed);

        {
            let jobs_started = jobs_started.clone();
            hooks.on(JobStart, move |ctx| {
                let jobs_started = jobs_started.clone();
                async move {
                    jobs_started.fetch_add(1, Ordering::Relaxed);
                    println!("Job {} started", ctx.job.id());
                }
            });
        }

        {
            let jobs_completed = jobs_completed.clone();
            hooks.on(JobComplete, move |ctx| {
                let jobs_completed = jobs_completed.clone();
                async move {
                    jobs_completed.fetch_add(1, Ordering::Relaxed);
                    println!("Job {} completed in {:?}", ctx.job.id(), ctx.duration);
                }
            });
        }

        hooks.on(JobFail, async |ctx| {
            println!("Job {} failed: {}", ctx.job.id(), ctx.error);
        });
    }
}

Intercepting Jobs

The BeforeJobRun and AfterJobRun hooks can intercept jobs and change their behavior:

struct ValidationPlugin;

impl Plugin for ValidationPlugin {
    fn register(self, hooks: &mut HookRegistry) {
        hooks.on(BeforeJobRun, async |ctx| {
            // Skip jobs with a "skip" flag in their payload
            if ctx.payload.get("skip").and_then(|v| v.as_bool()).unwrap_or(false) {
                return HookResult::Skip;
            }

            // Fail jobs with invalid data
            if ctx.payload.get("invalid").is_some() {
                return HookResult::Fail("Invalid payload".into());
            }

            // Continue with normal execution
            HookResult::Continue
        });
    }
}

Registering Plugins

Add plugins when configuring the worker:

let worker = WorkerOptions::default()
    .define_job::<SendEmail>()
    .add_plugin(MetricsPlugin::new())
    .add_plugin(ValidationPlugin)
    .pg_pool(pg_pool)
    .init()
    .await?;

Multiple plugins can be registered and they will all receive hook calls in the order they were added.

Available Hooks

Hook	Type	Description
`WorkerInit`	Observer	Called when worker is initializing
`WorkerStart`	Observer	Called when worker starts processing
`WorkerShutdown`	Observer	Called when worker is shutting down
`JobFetch`	Observer	Called when a job is fetched from the queue
`JobStart`	Observer	Called before a job starts executing
`JobComplete`	Observer	Called after a job completes successfully
`JobFail`	Observer	Called when a job fails (will retry)
`JobPermanentlyFail`	Observer	Called when a job exceeds max attempts
`CronTick`	Observer	Called on each cron scheduler tick
`CronJobScheduled`	Observer	Called when a cron job is scheduled
`LocalQueueInit`	Observer	Called when local queue is initialized
`LocalQueueSetMode`	Observer	Called when local queue changes mode
`LocalQueueGetJobsComplete`	Observer	Called after batch fetching jobs
`LocalQueueReturnJobs`	Observer	Called when jobs are returned to database
`LocalQueueRefetchDelayStart`	Observer	Called when refetch delay starts
`LocalQueueRefetchDelayAbort`	Observer	Called when refetch delay is aborted
`LocalQueueRefetchDelayExpired`	Observer	Called when refetch delay expires
`BeforeJobRun`	Interceptor	Can skip, fail, or continue job execution
`AfterJobRun`	Interceptor	Can modify the job result after execution
`BeforeJobSchedule`	Interceptor	Can skip, fail, or transform job before scheduling

Job Management Utilities

The WorkerUtils class provides methods for managing jobs:

// Get a WorkerUtils instance
let utils = worker.create_utils();

// Remove a job by its key
utils.remove_job("job_key_123").await?;

// Mark jobs as completed
utils.complete_jobs(&[job_id1, job_id2]).await?;

// Permanently fail jobs with a reason
utils.permanently_fail_jobs(&[job_id3, job_id4], "Invalid data").await?;

// Reschedule jobs
let options = RescheduleJobOptions {
    run_at: Some(Utc::now() + chrono::Duration::minutes(60)),
    priority: Some(5),
    max_attempts: Some(3),
    ..Default::default()
};
utils.reschedule_jobs(&[job_id5, job_id6], options).await?;

// Run database cleanup tasks
utils.cleanup(&[
    CleanupTask::DeletePermenantlyFailedJobs,
    CleanupTask::GcTaskIdentifiers,
    CleanupTask::GcJobQueues,
]).await?;

Feature List

Flexible deployment: Run standalone or embedded in your application
Multi-language support: Use from Rust, SQL or alongside the Node.js version
Performance optimized:
- Low latency job execution (typically under 3ms)
- PostgreSQL LISTEN/NOTIFY for immediate job notifications
- SKIP LOCKED for efficient job fetching
Robust job processing:
- Parallel processing with customizable concurrency
- Serialized execution via named queues
- Automatic retries with exponential backoff
- Customizable retry counts (default: 25 attempts over ~3 days)
Scheduling features:
- Delayed execution with run_at
- Job prioritization
- Crontab-like recurring tasks
- Task deduplication via job_key
Lifecycle hooks: Observe and intercept job events for logging, metrics, and validation
Type safety: End-to-end type checking of job payloads
Minimal overhead: Direct serialization of task payloads

Requirements

PostgreSQL 12+
- Required for the generated always as (expression) feature
- May work with older versions but has not been tested

Project Status

Production ready but the API may continue to evolve. If you encounter any issues or have feature requests, please open an issue on GitHub.

Acknowledgments

This library is a Rust port of the excellent Graphile Worker by Benjie Gillam. If you find this library useful, please consider sponsoring Benjie's work, as all the research and architecture design was done by him.

License

MIT License - See LICENSE.md

Adding graphile_worker library as a dependency

Adding `graphile_worker` library as a dependency