The article analyzes a MySQL replication error where a MEMORY table is cleared after a master restart, explains why the binlog records only a statement despite row format, and provides step‑by‑step troubleshooting and remediation measures to ensure data consistency.
ByteHouse evolved its real‑time import pipeline from a community ClickHouse architecture to a custom HaKafka engine and a cloud‑native design, addressing node failures, read‑write conflicts, scaling costs, and latency by introducing two‑level concurrency, memory tables, exactly‑once semantics, and robust fault‑tolerance.
This article details the motivation, architectural evolution, and technical implementations of ByteHouse's real‑time ingestion pipeline, covering internal business requirements, distributed‑system challenges, the custom HaKafka engine, memory‑table optimizations, and the transition to a cloud‑native design that delivers high availability, low‑latency, and exactly‑once semantics.
