Precompiled SQL refers to SQL code that is compiled before it is executed, rather than at runtime.
Precompiled SQL helps improve performance and consistency by reducing the need to parse and compile SQL each time it's run. It is commonly used in stored procedures and applications that frequently execute the same queries, ensuring both efficiency and security during execution.
Using precompiled SQL offers multiple advantages for performance, stability, and security. It’s especially useful in production systems and applications with high query volumes.
The SQL precompiler scans your source code for embedded SQL statements and converts them into executable code before the program runs. This process involves replacing SQL commands with calls to database functions and producing an intermediate file ready for binding.
By separating the compile and execution phases, the precompiler eliminates the need to interpret SQL logic at runtime. This results in lower latency and more stable performance in environments where the same SQL is executed repeatedly.
Stored procedures and precompiled SQL statements both aim to improve database performance, but they serve different purposes. Stored procedures are predefined blocks of SQL code stored and executed directly within the database. They can include control-of-flow logic such as loops, conditionals, and error handling, making them ideal for encapsulating complex operations or workflows that run repeatedly.
On the other hand, precompiled SQL statements refer to SQL code that is compiled before runtime, often embedded within application code. While they don’t include procedural logic, such as stored procedures, they offer speed and efficiency for repetitive queries by eliminating the need for runtime parsing.
Both methods improve execution time and resource utilisation, but differ in how they’re managed.
To get the most out of precompiled SQL, it’s important to follow a few core practices. These ensure stability, maintainability, and optimized performance.
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