Available on crate feature
dataloader
only.Expand description
Batch loading support, used to solve N+1 problem.
§Examples
use async_graphql::*;
use async_graphql::dataloader::*;
use std::collections::{HashSet, HashMap};
use std::convert::Infallible;
use async_graphql::dataloader::Loader;
/// This loader simply converts the integer key into a string value.
struct MyLoader;
impl Loader<i32> for MyLoader {
type Value = String;
type Error = Infallible;
async fn load(&self, keys: &[i32]) -> Result<HashMap<i32, Self::Value>, Self::Error> {
// Use `MyLoader` to load data.
Ok(keys.iter().copied().map(|n| (n, n.to_string())).collect())
}
}
struct Query;
#[Object]
impl Query {
async fn value(&self, ctx: &Context<'_>, n: i32) -> Option<String> {
ctx.data_unchecked::<DataLoader<MyLoader>>().load_one(n).await.unwrap()
}
}
let schema = Schema::new(Query, EmptyMutation, EmptySubscription);
let query = r#"
{
v1: value(n: 1)
v2: value(n: 2)
v3: value(n: 3)
v4: value(n: 4)
v5: value(n: 5)
}
"#;
let request = Request::new(query).data(DataLoader::new(MyLoader, tokio::spawn));
let res = schema.execute(request).await.into_result().unwrap().data;
assert_eq!(res, value!({
"v1": "1",
"v2": "2",
"v3": "3",
"v4": "4",
"v5": "5",
}));
Structs§
- Data loader.
- std::collections::HashMap cache.
- LRU cache.
- No cache.
Traits§
- Factory for creating cache storage.
- Cache storage for DataLoader.
- Trait for batch loading.