Comments in SQL are used to explain code, making it more readable and understandable for developers. They are ignored by the SQL engine during execution.
Comments are crucial for writing maintainable and understandable SQL code. They act as annotations, clarifying the purpose of specific code blocks or individual statements. This is especially important in larger projects where multiple developers might be working on the same database. Comments help everyone understand the logic behind the queries, making debugging and modifications easier. SQL supports two primary ways to add comments: single-line and multi-line comments. Single-line comments are useful for brief explanations, while multi-line comments are ideal for longer descriptions or complex logic explanations. Using comments consistently throughout your SQL code improves its overall readability and maintainability.
Comments enhance code readability and maintainability, making it easier for developers to understand, modify, and debug SQL code, especially in large projects.
Comments act as in-line documentation that explains why a query exists and what each block is doing. When several engineers collaborate on the same database, clear comments shorten the learning curve, speed up debugging, and reduce the risk of accidental regressions. In short, well-placed comments turn opaque SQL into maintainable, future-proof code.
Use single-line comments (typically prefixed with --
) for quick, one-sentence explanations or to disable a single statement during testing. Reserve multi-line comments (enclosed by /* ... */
) for longer narratives—such as outlining complex join logic, documenting business rules, or providing a changelog. Choosing the right style keeps your scripts readable without cluttering the query window.
Galaxy’s context-aware AI copilot can auto-generate descriptive comment stubs, propose column descriptions, and even update existing comments when you refactor a query. Combined with its fast desktop UI and collaborative Collections feature, Galaxy ensures every teammate sees and reuses well-commented, endorsed SQL instead of pasting undocumented snippets in Slack.