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@data-client/redux

v0.12.2

Published

Asynchronous data framework for React

Downloads

1,598

Readme

Reactive Data Client

CircleCI Coverage Status npm downloads bundle size npm version PRs Welcome

Asynchronous mutable data at scale. Performance, data integrity, and typing for REST, proto, GraphQL, websockets and more..

📖Read The Docs  |  🏁Getting Started  |  🎮Todo Demo  |  🎮Github Demo

Simple TypeScript definition

class Article extends Entity {
  readonly id: string = '';
  readonly title: string = '';
  readonly body: string = '';

  pk() {
    return this.id;
  }
}

Create collection of API Endpoints

const ArticleResource = createResource({
  path: '/articles/:id',
  schema: Article,
})

One line data binding

const article = useSuspense(ArticleResource.get, { id });
return (
  <>
    <h2>{article.title}</h2>
    <p>{article.body}</p>
  </>
);

Mutation

const ctrl = useController();
return (
  <ArticleForm
    onSubmit={data => ctrl.fetch(ArticleResource.update, { id }, data)}
  />
);

And subscriptions

const price = useSuspense(PriceResource.get, { symbol });
useSubscription(PriceResource.get, { symbol });
return price.value;

Programmatic queries

const sortedArticles = new schema.Query(
  new schema.All(Article),
  (entries, { asc } = { asc: false }) => {
    const sorted = [...entries].sort((a, b) => a.title.localeCompare(b.title));
    if (asc) return sorted;
    return sorted.reverse();
  }
);

const articlesUnsorted = useQuery(sortedArticles);
const articlesAscending = useQuery(sortedArticles, { asc: true });
const articlesDescending = useQuery(sortedArticles, { asc: false });

...all typed ...fast ...and consistent

🏁Get started now

Features

Principals of Data Client

TS Integrity

  • Strong inferred types
  • Global referential equality guarantees
  • Normalized store creates a single source of truth
  • Strong invariants robust against race conditions
  • Validation

Performance

  • Stale While Revalidate configurable cache
  • Only re-render

Composition over configuration

  • Declarative data definitions
  • Decoupled API definitions from usage
  • Co-located data dependencies
    • Centralized orchestration
  • Extensible orchestration through Managers (middleware)
  • Composable hooks
    • subject pattern
  • Suspense + concurrent mode async orchestration

Incremental Adoption

  • Simple case is simple
  • Scale as your app scales