Two Approaches to Synchronize MySQL Data with Redis Cache
This article explains two technical solutions for keeping MySQL data in sync with Redis cache—using a MySQL trigger with a UDF function and parsing MySQL binlog events—while also reviewing the Canal open‑source tool and discussing their trade‑offs and implementation details.
The article introduces two methods for synchronizing MySQL data with Redis cache.
Solution 1 (UDF): A MySQL trigger calls a user‑defined function that writes the changed data directly to Redis, suitable for read‑heavy, low‑write‑concurrency scenarios but may degrade performance on frequent writes.
Solution 2 (Binlog parsing): By parsing MySQL binary logs, changes are captured and written to Redis, effectively treating MySQL as the master and Redis as a slave; this requires deep understanding of binlog formats.
The article also discusses Alibaba’s open‑source Canal project, which mimics MySQL slave protocol to consume binlog events, and outlines its architecture (eventParser, eventSink, eventStore, metaManager) and processing flow.
Additional notes include a responsibility‑chain pattern for per‑table filters and an alternative approach where the client writes to Redis first and later syncs to MySQL, which is less reliable.
Finally, the article contains promotional messages encouraging readers to join a community and share the content.
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