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How a Malaysian Gaming Company Migrated from SQL Server to OceanBase

I. Project Background

As their overseas gaming business expanded rapidly, transaction volumes and data scale continued to surge. Consequently, a Malaysian gaming client found their legacy SQL Server architecture facing several critical bottlenecks:

  • Intense High-Concurrency Write Pressure During peak transaction hours, lock contention and transaction log pressure became severe, making it difficult to scale throughput linearly alongside business growth.
  • High Real-Time Query Latency Frequent real-time queries for cross-month transactions experienced latency peaks of nearly 2 seconds, severely impacting the efficiency of risk control and operational analytics.
  • Runaway Index and Storage Costs A mere 3GB of business data required 12GB of indexes, prolonging maintenance windows and elevating operational risks.

To enhance architectural elasticity and scalability, the client selected the OceanBase distributed database as their next-generation foundational infrastructure.

However, during the actual migration, a core challenge emerged:

With critical business logic encapsulated within stored procedures, how do we migrate them safely, rapidly, and cost-effectively?

II. Pain Points

The Real "Hard Nut to Crack": Stored Procedures

Across the client's three core business databases, there were over 90 stored procedures underpinning the entire core transaction pipeline. Averaging over a thousand lines of code each, these procedures contained deeply nested logic and complex business rules. They covered more than 10 critical business modules—including game top-ups, reporting, and logging—primarily handling:

  • Complex cross-table calculations
  • Encapsulation of core business rules
  • Batch processing and transaction control

Furthermore, the extensive use of T-SQL specific syntax, system functions, and custom control flows further compounded the migration difficulty.

The Pitfalls of Traditional Manual Migration

  • Line-by-line rewriting requires an immense amount of manual effort.
  • High semantic understanding costs and uncontrollable deployment risks.
  • Migration cycles are measured in months rather than days.
  • Prolonged tying up of valuable DBA and R&D resources.

III. The Solution

Enter SQLShift: Truly Automating Non-Table Object Migration

To crack this problem, the project introduced SQLShift—a heterogeneous database non-table object migration platform—focusing precisely on the most complex element: stored procedures.

Leveraging Large Language Models (LLM) combined with a robust Rule Engine, SQLShift achieved intelligent code conversion at both the syntax and semantic levels. In this project, it accomplished:

  • Fully automated conversion from SQL Server Stored Procedures to OceanBase (MySQL mode).
  • Comprehensive coverage of complex logic, including control flows, cursors, variables, and exception handling.
  • Deep adaptation and auto-fixing tailored to OceanBase's specific execution characteristics.
  • Guaranteed consistency of business logic, significantly reducing regression testing overhead.

Project Outcome: Core Stored Procedures Migrated Successfully in One Go

The final results were highly impactful:

  • 100% successful migration of all core stored procedures across the three main business databases.
  • The converted code runs stably right out of the box on OceanBase.
  • The migration cycle was drastically shortened from weeks of manual rewriting to rapid, automated batch processing.
  • DBAs and developers could focus solely on validation and optimization instead of rewriting from scratch.

SQLShift significantly reduced the manual effort, time constraints, and deployment risks associated with cross-database migration, providing a reliable foundation for the Malaysian gaming client's architectural upgrade and database modernization.

IV. Value Proposition

Why do enterprises increasingly choose SQLShift for their migrations?

SQLShift is not merely a syntax search-and-replace tool; it is an enterprise-grade automated migration platform for non-table objects:

  • Supports mainstream databases including Oracle, SQL Server, PostgreSQL, GaussDB, and OceanBase.
  • Specifically targets the migration of highly complex objects like stored procedures, functions, and triggers.
  • Deeply tailored for database modernization and heterogeneous replacement scenarios.
  • Transforms unpredictable manual migrations into a quantifiable, scalable, and repeatable standardized process.

V. Conclusion

Database migration has never been just about moving "tables."

Non-table objects—like stored procedures, functions, and triggers—are the true critical factors that dictate the success and timeline of a migration project.

From SQL Server to OceanBase, and from traditional architectures to distributed upgrades, SQLShift is rapidly becoming the reliable "accelerator" for enterprise database migrations.

SQLShift makes complex migrations more controllable, highly efficient, and massively scalable.

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