ClickHouse React

Use ClickHouse in React with typed hooks instead of custom fetch glue

React teams want analytics queries that are cache-aware, type-safe, and easy to reuse across charts and dashboards. hypequery gives you shared query definitions on the server and typed React hooks on the client.

Open React docs See hook usage examples

Client layer

@hypequery/react

Caching

TanStack Query

Best for

Interactive dashboards

React dashboards grow a lot of fragile fetch code

Teams often hand-roll request helpers, response types, loading states, and cache invalidation logic for every chart. The complexity compounds fast.

Client code should not know raw ClickHouse details

A browser should not care about schema drift, `UInt64` mapping, or how analytics SQL is built. It should call a typed contract and render the result.

Server and client types usually drift apart

When the API layer and React layer are typed separately, changes arrive as runtime bugs instead of compile-time feedback.

React-friendly model

Generate hooks from the same analytics API your server already owns

The stable pattern is straightforward: define analytics on the server, expose them over HTTP, and derive React hooks from that definition so the browser stays thin.

Keep ClickHouse access and schema knowledge on the server
Infer hook types directly from the serve API
Use TanStack Query for cache lifecycle and background refetching
Share one query contract across charts, tables, and filters
Avoid manually duplicating request and response types in React

Hook setup

Create hooks from the server API type

import { createHooks } from '@hypequery/react';
import { InferApiType } from '@hypequery/serve';
import type { api } from '@/analytics/queries';

type Api = InferApiType<typeof api>;

export const { useQuery, useMutation } = createHooks<Api>({
  baseUrl: '/api/analytics',
});

This is the key to keeping React in sync with the real analytics contract instead of maintaining a second hand-written client schema.

Dashboard usage

Keep components focused on rendering and interaction

Once the hook layer exists, React components become much simpler. They ask for a named query with typed input, then render loading, error, and success states without custom networking glue.

This fits especially well with ClickHouse dashboards where multiple charts share filters and query lifecycles. TanStack Query handles the browser concerns while hypequery preserves the analytics contract.

If your app is on Next.js, combine this pattern with the Next.js pillar page so server-rendered and client-rendered analytics use the same backend definitions.

Component

Use a typed analytics hook in React

export function RevenueChart() {
  const { data, isLoading } = useQuery('revenueByDay', {
    startDate: '2026-01-01',
    endDate: '2026-01-31',
  });

  if (isLoading) return <div>Loading...</div>;

  return <Chart data={data ?? []} />;
}

The component only deals with UI state. Query naming, input shape, and output typing all come from the shared analytics layer.

Why teams search for this

Common implementation questions this page should solve

ClickHouse React hooks

If you are searching for React hooks for ClickHouse, the right abstraction is usually a typed analytics API plus generated hooks, not direct database access from the browser.

React dashboard data fetching for analytics

Interactive dashboards need cache control, background updates, and typed inputs. TanStack Query plus a schema-driven API is the pragmatic route.

Type-safe React queries on ClickHouse

Type safety only matters if the server contract is accurate. That starts with schema-driven analytics definitions, not just client-side TypeScript wrappers.

When React should call HTTP vs server code

Server components can execute locally, but browser components need HTTP. A shared analytics layer lets both paths use the same query definition.

Go deeper with comparison posts and implementation guides

Next step

Set up typed hooks on top of a shared server definition

Do not start by inventing a browser-only analytics client. Start from the server API type, then let the React layer inherit it.

Open React setup See Next.js architecture