samdeepthink
Jun 22, 2026 · Databases
How to Handle 30,000 Writes per Second with Oracle, Java, and Spring
The article analyzes the write bottleneck of processing 30,000 payment orders per second on an Oracle‑Java‑Spring stack, explains why sharding was used historically, why MQ‑based peak‑shaving is discouraged, and compares self‑built sharding with modern distributed databases such as PolarDB‑X, TiDB and OceanBase, while summarizing public practices from major Chinese tech firms.
OceanBaseOraclePolarDB-X
0 likes · 13 min read
