How We Split a 500M‑Row MySQL Table: Lessons and Strategies
Facing a 50‑million‑row financial transaction table that grew 600,000 rows each month, the team designed a sharding solution using sharding‑jdbc, tackled multi‑datasource transaction and pagination challenges, and executed a staged migration that kept the system stable while eliminating MySQL performance bottlenecks.
