clickhouse-reference-architecture

# ClickHouse Reference Architecture ## Overview Production-grade architecture for ClickHouse analytics platforms covering project layout, data flow, multi-tenancy, and operational patterns. ## Prerequisites - Understanding of ClickHouse fundamentals (engines, ORDER BY, partitioning) - TypeScript/Node.js project ## Instructions ### Step 1: Project Structure ``` my-analytics-platform/ ├── src/ │ ├── clickhouse/ │ │ ├── client.ts # Singleton client with health checks │ │ ├── schemas/ # SQL DDL files (source of truth) │ │ │ ├── 001-events.sql │ │ │ ├── 002-users.sql │ │ │ └── 003-materialized-views.sql │ │ ├── queries/ # Named query functions │ │ │ ├── events.ts │ │ │ ├── users.ts │ │ │ └── dashboards.ts │ │ └── migrations/ # Schema migrations │ │ ├── runner.ts │ │ └── 001-add-country.sql │ ├── ingestion/ │ │ ├── webhook-receiver.ts # HTTP webhook endpoint │ │ ├── kafka-consumer.ts # Kafka consumer (if applicable) │ │ └── buffer.ts # Insert batching buffer │ ├── api/ │ │ ├── routes.ts # API endpoints │ │ └── middleware.ts # Auth, rate limiting │ └── jobs/ │ ├── daily-rollup.ts # Scheduled aggregations │ └── cleanup.ts # TTL enforcement ├── tests/ │ ├── unit/ │ └── integration/ ├── docker-compose.yml # Local ClickHouse ├── init-db/ # Docker init scripts └──...