Automated code conversion tools often fail to accurately translate legacy stored procedures from systems like Oracle or SQL Server to modern platforms like Snowflake or Databricks. These tools, which rely on simple pattern matching, struggle with the complex state, control flow, and dynamic SQL common in older procedural code. To achieve successful migrations, teams must shift away from basic string replacement and instead leverage Abstract Syntax Tree (AST) parsing to understand the underlying logic and refactor code into more efficient, declarative structures.
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