Crates.io | postgres_queue |
lib.rs | postgres_queue |
version | 0.1.0 |
source | src |
created_at | 2023-03-23 14:17:49.18598 |
updated_at | 2023-03-23 14:17:49.18598 |
description | A library for managing and executing tasks in a PostgreSQL-backed queue |
homepage | |
repository | https://github.com/fcoury/postgres_queue |
max_upload_size | |
id | 818354 |
size | 49,248 |
A library for managing and executing tasks in a PostgreSQL-backed queue.
This library provides a simple way to define, enqueue, and process tasks in a concurrent and fault-tolerant manner using a PostgreSQL database as the task queue.
Add this to your Cargo.toml
:
[dependencies]
postgres_queue = "0.1.0"
Here's a basic example demonstrating how to use the postgres_queue
crate:
use postgres_queue::{TaskRegistry, TaskData, TaskError, connect, initialize_database};
use chrono::{Utc, Duration};
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let database_url = "postgres://user:password@localhost/dbname";
let pool = connect(database_url).await?;
initialize_database(&pool).await?;
let mut task_registry = TaskRegistry::new();
task_registry.register_task("my_task", my_task_handler);
let task_data = serde_json::json!({ "message": "Hello, world!" });
let run_at = Utc::now() + Duration::seconds(10);
let task_id = postgres_queue::enqueue(&pool, "my_task", task_data.clone(), run_at, None).await?;
task_registry.run(&pool, 4).await?;
Ok(())
}
async fn my_task_handler(task_id: i32, task_data: TaskData) -> Result<(), TaskError> {
println!("Task {}: {:?}", task_id, task_data);
Ok(())
}
This project is licensed under the MIT License.