Building embedded analytics on ClickHouse with TypeScript involves several key steps to ensure that your application is both correct and performant. Here's an overview of how you can achieve this:
1. Setting Up Your Environment
First, ensure you have a working ClickHouse server and the necessary client libraries for TypeScript.
-
ClickHouse Server: Make sure it's running with appropriate settings (e.g.,
tenant_idinORDER BY, no partitioning by tenant). -
TypeScript Client Libraries:
- Install
@hypequery/clientto interact with ClickHouse. - Use
@hypequery/servefor creating HTTP handlers.
- Install
2. Creating a Type-Safe Query Builder
Use the hypequery library to create type-safe queries:
typescript1import { HypeQuery } from '@hypequery/client'; 2 3const query = new HypeQuery('events') 4 .select(['tenant_id', 'event_type']) 5 .where({ tenant_id: '123' }) 6 .groupBy(['tenant_id', 'event_type']) 7 .orderBy(['tenant_id', 'event_time']); 8 9console.log(query.build());
3. Schema Introspection
Use hypequery
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