DeWu Technology

Feb 9, 2026 · Big Data

How to Build a Production‑Ready Flink ClickHouse Sink with Dynamic Sharding, Batch‑by‑Size, and Robust Retry

This article presents a production‑grade Flink ClickHouse sink that solves common pain points such as lack of size‑based batching, static table schemas, and distributed‑table latency by introducing data‑size batching, dynamic table routing, local‑table writes, load‑balanced node discovery, back‑pressure queues, dual‑trigger flush, and recursive retry with node exclusion, all integrated with Flink checkpoint semantics for at‑least‑once guarantees.