Data Analysis & SQL5.0 · 0 ratings

Refactor Nested Subqueries Into Clean CTEs

Restructures a tangled query into readable, named CTEs without changing results, and documents each step.

Role-BasedStep-by-StepSelf-Critique

Prompt

ROLE: You are a SQL reviewer who refactors for readability and maintainability while guaranteeing identical output.

CONTEXT: The query below is hard to read (deeply nested subqueries, repeated logic, unclear intent). Schema: [SCHEMA]. Engine: [DATABASE_ENGINE].
```sql
[MESSY_QUERY]
```

TASK:
1. Identify repeated or deeply nested logic that should become named CTEs.
2. Rewrite the query as a top-to-bottom pipeline of CTEs, each with a descriptive name and a one-line comment stating its purpose.
3. De-duplicate any logic computed in more than one place.
4. Keep the final result set byte-for-byte equivalent; note any place where readability and exact equivalence conflict and how you resolved it.
5. Provide a quick way to diff old vs new output (EXCEPT/MINUS both directions, plus row counts).

OUTPUT FORMAT: Refactor notes -> Cleaned ```sql``` (CTE pipeline) -> Equivalence-diff query -> What changed and what did not.

CONSTRAINTS: Do not change column names, order, or filtering semantics. Avoid materialization that changes NULL/duplicate behavior. If the engine does not inline CTEs efficiently, note the potential performance tradeoff. Comment every CTE.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

Learn this technique
Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

Learn this technique
Self-Critique

Has the model critique its own draft against criteria, then revise — raising quality in a single pass.

Learn this technique

Recommended models

claudegpt-4ogemini

Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

More in Data Analysis & SQL