Event

<p>Change Data Capture (CDC) has become foundational for real-time analytics, cross-region replication, event-driven systems, and streaming ingestion pipelines. Databases like MySQL and Postgres replication expose change streams through a single-writer log. CDC in these systems is trivial. Modern distributed SQL databases like TiDB require a fundamentally different design and handle bigger challenges because they need to order the writes of multiple writers and deal with millions of tables, </p> <p>This talk is about TiCDC’s architecture and how it handles multiple writers, millions of tables, 1000s of writers with its event-driven pipeline. To preserve total order, TiCDC must merge, order, and stream updates coming concurrently from multiple regions, Raft groups, and storage nodes—while preserving correctness and low latency.</p> <p>This talk will explore the challenges and the evolution of TiCDC design over several iterations, With lessons learnt the hard way.</p>