ClickHouse Materialized Views for TypeScript Developers
ClickHouse materialized views trigger on INSERT and pre-aggregate into a target table. This guide explains the mechanics, the backfill gotcha, and how to query them with hypequery.
Insights
Deep dives, architecture notes, and product guidance from the hypequery team.
ClickHouse materialized views trigger on INSERT and pre-aggregate into a target table. This guide explains the mechanics, the backfill gotcha, and how to query them with hypequery.
Three pagination patterns for ClickHouse in TypeScript — offset/limit, cursor-based, and keyset. Know when each applies and how to implement them.
PREWHERE filters before reading all columns, WHERE filters after. Learn when PREWHERE actually improves ClickHouse performance, when it does not matter, and how to approach it from a TypeScript app using hypequery.
A full walkthrough — schema generation, typed query endpoints, React hooks, and a polling dashboard that stays live without WebSockets.
ClickHouse has no native RLS like Postgres. Here are the three patterns for tenant isolation — and why context injection with hypequery is the right default for TypeScript teams.
Three strategies for testing ClickHouse queries in TypeScript — mocking the client, using a local Docker instance, and letting the type system catch errors before tests run.
How to use toStartOfInterval with GROUP BY and column aliases in ClickHouse. TypeScript examples using hypequery and raw SQL — DateTime bucketing for time-series analytics.
A safer ClickHouse MCP pattern: expose a small set of named analytics queries as tools instead of letting the model write arbitrary SQL.
A practical comparison of the real TypeScript options for ClickHouse: raw client, Kysely, Cube, and hypequery, with the tradeoffs each one leaves you holding.
Generate typed React hooks from the same backend query definitions that power your ClickHouse API, so components stop owning fetch glue and response types.