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.github | ||
docs | ||
fang_examples | ||
migrations | ||
src | ||
.env | ||
.gitignore | ||
.gitmodules | ||
Cargo.toml | ||
CHANGELOG.md | ||
logo.png | ||
Makefile | ||
README.md |
Fang
Background task processing library for Rust. It uses Postgres DB as a task queue.
Features
- Asynk feature uses
tokio
. Workers are started in tokio tasks. - Blocking feature uses
std::thread
. Workers are started in a separated threads.
Installation
- Add this to your Cargo.toml
Blocking feature
[dependencies]
fang = { version = "0.9" , features = ["blocking"], default-features = false }
Asynk feature
[dependencies]
fang = { version = "0.9" , features = ["asynk"], default-features = false }
Both features
fang = { version = "0.9" }
Supports rustc 1.62+
- Create
fang_tasks
table in the Postgres database. The migration can be found in the migrations directory.
Usage
Defining a task
Blocking feature
Every task should implement fang::Runnable
trait which is used by fang
to execute it.
use fang::Error;
use fang::Runnable;
use fang::typetag;
use fang::PgConnection;
use fang::serde::{Deserialize, Serialize};
#[derive(Serialize, Deserialize)]
#[serde(crate = "fang::serde")]
struct MyTask {
pub number: u16,
}
#[typetag::serde]
impl Runnable for MyTask {
fn run(&self, _queue: &dyn Queueable) -> Result<(), Error> {
println!("the number is {}", self.number);
Ok(())
}
// If you want to make the tasks of this type uniq.
fn uniq(&self) -> bool {
true
}
// This will be useful if you want to filter tasks.
// default value: "common".to_string()
fn task_type(&self) -> String {
"my_task".to_string()
}
// This will be useful if you would like to schedule tasks.
// default value: None (task is not schedule just executes when it is fetched)
fn cron(&self) -> Option<Scheduled> {
// sec min hour day of month month day of week year
// be careful works only with UTC hour.
// https://www.timeanddate.com/worldclock/timezone/utc
let expression = "0/20 * * * Aug-Sep * 2022/1";
Some(Scheduled::CronPattern(expression.to_string()))
}
}
As you can see from the example above, the trait implementation has #[typetag::serde]
attribute which is used to deserialize the task.
The second parameter of the run
function is a is an struct that implements fang::Queueable (fang::Queue for example), You can re-use it to manipulate the task queue, for example, to add a new job during the current job's execution. If you don't need it, just ignore it.
Asynk feature
Every task should implement fang::AsyncRunnable
trait which is used by fang
to execute it.
Also be careful to not to call with the same name two impl of AsyncRunnable, because will cause a fail with typetag.
use fang::AsyncRunnable;
use fang::asynk::async_queue::AsyncQueueable;
use fang::serde::{Deserialize, Serialize};
use fang::async_trait;
#[derive(Serialize, Deserialize)]
#[serde(crate = "fang::serde")]
struct AsyncTask {
pub number: u16,
}
#[typetag::serde]
#[async_trait]
impl AsyncRunnable for AsyncTask {
async fn run(&self, _queueable: &mut dyn AsyncQueueable) -> Result<(), Error> {
Ok(())
}
// this func is optional to impl
// Default task-type it is common
fn task_type(&self) -> String {
"my-task-type".to_string()
}
// If you want to make the tasks of this type uniq.
fn uniq(&self) -> bool {
true
}
// This will be useful if you would like to schedule tasks.
// default value: None (task is not schedule just executes when it is fetched)
fn cron(&self) -> Option<Scheduled> {
// sec min hour day of month month day of week year
// be careful works only with UTC hour.
// https://www.timeanddate.com/worldclock/timezone/utc
let expression = "0/20 * * * Aug-Sep * 2022/1";
Some(Scheduled::CronPattern(expression.to_string()))
}
}
In both modules, tasks can be schedule to be execute once. Use Scheduled::ScheduleOnce
enum variant to schedule in specific datetime.
Datetimes and cron pattern are interpreted in UTC timezone. So you should introduce an offset to schedule in the desire hour.
Example:
If your hour is UTC + 2 and you would like to schedule at 11:00 all days, your expression will be this one.
let expression = "0 0 9 * * * *";
Enqueuing a task
Blocking feature
To enqueue a task use Queue::enqueue_task
For Postgres Backend.
use fang::Queue;
// create a r2d2 pool
// create a fang queue
let queue = Queue::builder().connection_pool(pool).build();
let task_inserted = queue.insert_task(&MyTask::new(1)).unwrap();
Queue::insert_task
method will insert a task with uniqueness or not it depends on uniq
method defined in a task.
If uniq is set to true and the task is already in storage this will return the task in the storage.
Asynk feature
To enqueue a task use AsyncQueueable::insert_task
,
depending of the backend that you prefer you will need to do it with a specific queue.
For Postgres backend.
use fang::asynk::async_queue::AsyncQueue;
use fang::NoTls;
use fang::AsyncRunnable;
// Create a AsyncQueue
let max_pool_size: u32 = 2;
let mut queue = AsyncQueue::builder()
// Postgres database url
.uri("postgres://postgres:postgres@localhost/fang")
// Max number of connections that are allowed
.max_pool_size(max_pool_size)
.build();
// Always connect first in order to perform any operation
queue.connect(NoTls).await.unwrap();
For easy example we are using NoTls type, if for some reason you would like to encrypt postgres traffic.
You can implement a Tls type.
It is well documented for openssl and native-tls
// AsyncTask from first example
let task = AsyncTask { 8 };
let task_returned = queue
.insert_task(&task as &dyn AsyncRunnable)
.await
.unwrap();
Starting workers
Blocking feature
Every worker runs in a separate thread. In case of panic, they are always restarted.
Use WorkerPool
to start workers. Use WorkerPool::builder
to create your worker pool and run tasks.
use fang::WorkerPool;
use fang::Queue;
// create a Queue
let mut worker_pool = WorkerPool::<Queue>::builder()
.queue(queue)
.number_of_workers(3_u32)
// if you want to run tasks of the specific kind
.task_type("my_task_type")
.build();
worker_pool.start();
Asynk feature
Every worker runs in a separate tokio task. In case of panic, they are always restarted.
Use AsyncWorkerPool
to start workers.
use fang::asynk::async_worker_pool::AsyncWorkerPool;
// Need to create a queue
// Also insert some tasks
let mut pool: AsyncWorkerPool<AsyncQueue<NoTls>> = AsyncWorkerPool::builder()
.number_of_workers(max_pool_size)
.queue(queue.clone())
// if you want to run tasks of the specific kind
.task_type("my_task_type")
.build();
pool.start().await;
Check out:
- Simple Worker Example - simple worker example
- Simple Cron Worker Example - simple worker example
- Simple Async Worker Example - simple async worker example
- Simple Cron Async Worker Example - simple async worker example
- El Monitorro - telegram feed reader. It uses Fang blocking module to synchronize feeds and deliver updates to users.
- weather_bot_rust - A bot that provides weather info. It uses Fang asynk module to process updates from Telegram users and schedule weather info.
Configuration
Blocking feature
Just use TypeBuilder
done for WorkerPool
.
Asynk feature
Just use TypeBuilder
done for AsyncWorkerPool
.
Configuring the type of workers
Configuring retention mode
By default, all successfully finished tasks are removed from the DB, failed tasks aren't.
There are three retention modes you can use:
pub enum RetentionMode {
KeepAll, // doesn't remove tasks
RemoveAll, // removes all tasks
RemoveFinished, // default value
}
Set retention mode with worker pools TypeBuilder
in both modules.
Configuring sleep values
Blocking feature
You can use use SleepParams
to confugure sleep values:
pub struct SleepParams {
pub sleep_period: Duration, // default value is 5 seconds
pub max_sleep_period: Duration, // default value is 15 seconds
pub min_sleep_period: Duration, // default value is 5 seconds
pub sleep_step: Duration, // default value is 5 seconds
}
If there are no tasks in the DB, a worker sleeps for sleep_period
and each time this value increases by sleep_step
until it reaches max_sleep_period
. min_sleep_period
is the initial value for sleep_period
. All values are in seconds.
Use set_sleep_params
to set it:
let sleep_params = SleepParams {
sleep_period: Duration::from_secs(2),
max_sleep_period: Duration::from_secs(6),
min_sleep_period: Duration::from_secs(2),
sleep_step: Duration::from_secs(1),
};
Set sleep params with worker pools TypeBuilder
in both modules.
Contributing
- Fork it!
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Add some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create new Pull Request
Running tests locally
- Install diesel_cli.
cargo install diesel_cli
-
Install docker in your machine.
-
Run a Postgres docker container. (See in Makefile.)
make db
- Run the migrations
make diesel
- Run tests
make tests
- Run dirty//long tests, DB must be recreated afterwards.
make ignored
- Kill docker container
make stop
Authors
-
Ayrat Badykov (@ayrat555)
-
Pepe Márquez (@pxp9)