Prompt Engineering Guide
Mastering Write SQL query
on Gemini 2.0 Flash
Stop guessing. See how professional prompt engineering transforms Gemini 2.0 Flash's output for specific technical tasks.
The "Vibe" Prompt
"Write a SQL query for me."
Low specificity, inconsistent output
Optimized Version
Given the following database schema (if applicable, provide here: [SCHEMA_DETAILS]), write a SQL query to [DESIRED_OUTCOME].
To achieve this, I will:
1. Identify the relevant tables involved in the query.
2. Determine the necessary columns to select.
3. Specify any join conditions required to link tables.
4. Apply WHERE clauses for filtering based on [FILTER_CRITERIA].
5. Implement GROUP BY clauses for aggregation (if needed) for [AGGREGATION_DETAILS].
6. Include ORDER BY clauses for sorting results by [SORTING_CRITERIA] (if needed).
7. Formulate the final SQL query using standard SQL syntax.
Desired Outcome: [SPECIFIC_GOAL_WITH_EXAMPLES_IF_POSSIBLE]
Examples of desired output (if applicable):
[EXAMPLE_OUTPUT_FORMAT]
Considerations: [ANY_PERFORMANCE_CONCERNS_OR_SPECIFIC_SQL_DIALECT_REQUIREMENTS]
Structured, task-focused, reduced hallucinations
Engineering Rationale
The 'optimized_prompt' provides a highly structured, step-by-step thinking process (chain-of-thought) that guides the model in constructing the SQL query. It explicitly asks for crucial information like schema, desired outcome, filtering, aggregation, and sorting criteria. This reduces ambiguity and the need for the model to make assumptions, leading to more accurate and efficient SQL generation. The 'vibe_prompt' is too general and lacks the necessary context for effective SQL generation.
0%
Token Efficiency Gain
The optimized prompt clearly defines placeholders for schema, desired outcome, and various SQL clauses.
The optimized prompt prompts for a structured thought process (1-7), guiding the model's generation.
The optimized prompt includes sections for examples and considerations, enhancing context.
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