Standard Architecture and Application Practices for Distributed Databases at Industrial Securities

Database technology is a key driver of IT innovation, and Industrial Securities proposes a five‑year fintech plan that adopts a Xinchuang (信创) architecture, emphasizing high availability, openness, standardization, continuity, advanced technology, and regulatory compliance to build a stable, efficient, and secure foundation for digital finance.

Distributed databases provide high availability through replication, high performance via parallel processing, scalability by dynamic resource allocation, strong consistency via distributed transactions, and security through encryption and access controls.

The standard architecture deploys an OceanBase cluster with OceanBase OCP for resource management, forming a cloud‑native database environment; multi‑replica Paxos groups ensure intra‑cluster consistency, while primary‑standby replication across regions offers disaster‑recovery capabilities similar to traditional master‑slave setups.

Application resource assessment follows a template that evaluates scenarios, data volume, concurrency, consistency, and query requirements; examples include CPU and memory sizing based on AWR reports, with typical allocations ranging from 1.5C 6G to 32C 64G depending on workload.

A resource‑estimation model quantifies tenant needs based on QPS, data size, load type, and disaster‑recovery demands, producing a tenant‑type distribution where most applications require 8C 16G, while a few demand larger configurations.

Application adaptation covers driver selection (MySQL driver for legacy, OceanBase driver for new/oracle systems), HikariCP connection pooling, table design guidelines (partitioning, table groups, index strategies), SQL tuning (hints, error tracing), data migration using OMS, logical/physical backup strategies, deployment testing, and production rollout with OCP‑integrated alerting.

Results include faster database service provisioning, reduced migration preparation time (minutes vs. hours), enhanced high‑availability (RPO = 0, RTO < 30 s), and a growing knowledge base that streamlines future distributed‑database projects.