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https://github.com/actix/examples
synced 2025-06-26 17:17:42 +02:00
simplify data_factory example
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@ -1,105 +1,43 @@
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use actix_web::{get, web::Data, App, HttpServer};
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use redis_tang::{Builder, Pool, RedisManager};
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use actix_web::{web, App, HttpResponse, HttpServer};
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#[actix_web::main]
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async fn main() -> std::io::Result<()> {
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let redis_url =
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std::env::var("REDIS_URL").unwrap_or_else(|_| String::from("redis://127.0.0.1"));
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env_logger::init_from_env(env_logger::Env::new().default_filter_or("info"));
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let num_cpus = num_cpus::get();
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// a shared redis pool for work load comparison.
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let pool = pool_builder(num_cpus, redis_url.as_str())
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.await
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.expect("fail to build pool");
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let pool = Data::new(RedisWrapper(pool));
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log::info!("starting HTTP server at http://localhost:8080");
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HttpServer::new(move || {
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let redis_url = redis_url.clone();
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App::new()
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.app_data(pool.clone())
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// a dummy data_factory implementation
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.data_factory(|| {
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/*
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App::data_factory would accept a future as return type and poll the future when
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App is initialized.
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The Output of the future must be Result<T, E> and T will be the transformed to
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App::Data<T> that can be extracted from handler/request.
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(The E will only be used to trigger a log::error.)
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This data is bound to worker thread and you get an instance of it for every
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worker of the HttpServer.(hence the name data_factory)
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*. It is NOT shared between workers
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(unless the underlying data is a smart pointer like Arc<T>).
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*/
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// App::data_factory would accept a future as return type and poll the future when
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// App is initialized.
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//
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// The Output of the future must be Result<T, E> and T will be the transformed to
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// App::Data<T> that can be extracted from handler/request. (The E will only be used
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// to trigger an error log.)
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//
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// This data is bound to worker thread and you get an instance of it for each worker
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// of the HttpServer, hence the name data_factory.
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//
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// It is NOT shared between workers
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// (unless the underlying data is a smart pointer like Arc<T>).
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async {
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// 123usize would be transformed into Data<usize>
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Ok::<usize, ()>(123)
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// would be transformed into Data<usize>
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Ok::<_, ()>(123_usize)
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}
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})
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// a data_factory redis pool for work load comparison.
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.data_factory(move || pool_builder(1, redis_url.clone()))
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.service(pool_shared_prebuilt)
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.service(pool_local)
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.route(
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"/",
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web::to(|data: web::Data<usize>| async move {
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assert_eq!(**data, 123);
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HttpResponse::NoContent()
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}),
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)
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})
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.workers(2)
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.bind(("127.0.0.1", 8080))?
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.run()
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.await
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}
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/*
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This pool is shared between workers. We have all redis connections spawned tasks on main thread
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therefore it puts too much pressure on one thread.
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*. This is the case for redis::aio::MultiplexedConnection and it may not apply to other async
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redis connection type.
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*/
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#[get("/pool")]
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async fn pool_shared_prebuilt(pool: Data<RedisWrapper>) -> &'static str {
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ping(&pool.as_ref().0).await
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}
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/*
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This pool is built with App::data_factory and we have 2 connections fixed for every worker.
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It's evenly distributed and have no cross workers synchronization.
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*/
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#[get("/pool2")]
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async fn pool_local(data: Data<usize>, pool: Data<Pool<RedisManager>>) -> &'static str {
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assert_eq!(data.get_ref(), &123);
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ping(pool.as_ref()).await
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}
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// boiler plate for redis pool
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#[derive(Clone)]
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struct RedisWrapper(Pool<RedisManager>);
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async fn pool_builder(
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num_cpus: usize,
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redis_url: impl redis::IntoConnectionInfo,
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) -> Result<Pool<RedisManager>, ()> {
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let mgr = RedisManager::new(redis_url);
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Builder::new()
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.always_check(false)
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.idle_timeout(None)
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.max_lifetime(None)
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.min_idle(num_cpus * 2)
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.max_size(num_cpus * 2)
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.build(mgr)
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.await
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.map_err(|_| ())
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}
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async fn ping(pool: &Pool<RedisManager>) -> &'static str {
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let mut client = pool.get().await.unwrap().clone();
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redis::cmd("PING")
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.query_async::<_, ()>(&mut client)
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.await
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.unwrap();
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"Done"
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}
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