PromptVault
Data & ResearchProIntermediate

SQL logic scored against the result it claims to return

For analysts checking query semantics, grain, null handling, and scale risks.

Works with
  • Perplexity
  • DeepSeek
  • Gemini
  • Codex
The prompt112 words · 4 blanks

Analyze [sql_query] in [sql_dialect] against the expected grain “[expected_grain]” and [data_scale] scale…

The full prompt is in the app

Included with PromptVault Pro. Fill in the blanks there, then copy it into Gemini.

What you fill in

  • Query to inspect[sql_query]ExampleSELECT customer_id, COUNT(*) FROM orders LEFT JOIN refunds USING (order_id)...
  • SQL dialect[sql_dialect]ExampleBigQuery
  • Expected result grain[expected_grain]ExampleOne row per customer per calendar month
  • Approximate scale[data_scale]ExampleHundreds of millions of rows

How to use it

  1. 1Open it in PromptVault. Find it in Data & Research, or search for “SQL logic scored against the result it claims to return”.
  2. 2Fill in the 4 blanks. query to inspect, sql dialect, expected result grain and approximate scale — the only things the prompt cannot know.
  3. 3Copy and paste it into Gemini. It also works with Perplexity, DeepSeek and Codex.

About this prompt

“SQL logic scored against the result it claims to return” is a intermediate data & research prompt. For analysts checking query semantics, grain, null handling, and scale risks. It is 112 words long and written to get a usable answer on the first message, in Perplexity, DeepSeek and Gemini or any other chat assistant. Good for: sql, analysis, critique, data analysis and troubleshooting. Like every prompt in PromptVault, it was written and edited in-house, and it works offline once the app is installed.

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