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AI Routine to Code

AI Routine to Code converts stored procedures or functions into application-language code drafts. Use it to review database-side business logic, plan a migration to the application layer, or accelerate refactoring work.

What It Does​

  • Reads the definition of a stored procedure or function.
  • Generates a code draft in the selected programming language.
  • Helps translate variables, branches, loops, exception handling, and SQL calls into application code.
  • Keeps the original database object unchanged.

Supported Data Sources​

  • MySQL-family data sources
  • Oracle
  • OceanBase Oracle
  • DaMeng
  • HANA
  • SQL Server

Supported Languages​

Java, Python, C#, C++, Golang, Rust, and NodeJS.

Before you begin​

  • Add the target data source to NineData.
  • Open the SQL Console for the target data source.
  • Use an account that can view the definition of the target stored procedure or function.
  • Review the business impact of the routine before you use the generated code in an application.

Procedure​

  1. Open the SQL Console for the target data source.
  2. In the object tree on the left, locate the target stored procedure or function.
  3. Right-click the target object, then click Convert To (AI) > Programming Language.
  4. Select the target language and review the generated code.
  5. Compare the generated code with the original routine and check variables, branches, loops, exception handling, and SQL calls.
  6. Refine the draft based on your application framework, database connection method, transaction boundaries, logging rules, and security requirements.

Result​

NineData generates a code draft in the selected language. The result can include method or class structure, variable and parameter mappings, control-flow logic, exception handling, and SQL-call examples.

Treat the generated output as a migration or refactoring reference, not as final production code. Before using it in an application, review transaction handling, concurrency behavior, rollback logic, permissions, and any database-specific behavior such as dynamic SQL, cursors, temporary tables, or package variables.