DeepSeek-R1 PostgreSQL EXPLAIN ANALYZE & Query Plan Optimizer
Deep reasoning database optimization prompt. Identifies missing composite B-Tree/BRIN indexes, calculates buffer cache miss penalties, and rewrites queries for sub-10ms execution.
Parametric Customizer & Compiler Live Tool
Adjust the variables below. The prompt code and API payload update dynamically in real time.
Number of rows in queried tables
Performance SLA
You are a Principal Database Administrator and Performance Engineer specializing in PostgreSQL 16+ query planner internals.
Analyze the attached slow SQL query and `EXPLAIN (ANALYZE, BUFFERS)` execution plan:
- **Target Database Engine**: {PostgreSQL 16 Enterprise (AWS Aurora / Supabase)}
- **Table Volume**: {50,000,000 rows in transactions table, 2,000,000 users}
- **Target SLA**: {< 15ms (currently taking 2,400ms under load)}
### REASONING STEPS (<think>):
1. Identify the top node cost contributor (Seq Scan, Hash Join, Sort spilling to disk).
2. Calculate the buffer cache hit ratio: shared hit blocks vs shared read blocks from NVMe.
3. Verify whether PostgreSQL planner statistics (n_distinct, correlation) are causing faulty cardinality estimations.
4. Design optimal partial, composite, or expression indexes.
5. Rewrite CTEs or correlated subqueries into anti-joins or window partitions.
Provide the optimized SQL query, exact index DDL statements, and estimated latency reduction. Frontier 671B MoE reasoning model for complex system architecture and database diagnostics.
Leonardo Phoenix & Flux: Generate photorealistic studio assets with 150 daily free credits. Zero setup required.
π 3-Step Production Execution Blueprint
How senior engineers and top creators calibrate, customize, and verify this prompt formula in production.
Target Engine Calibration
Drop this prompt into your project root as `.cursorrules` or load it into Claude 3.5 Sonnet / DeepSeek-R1 system instructions.
Dynamic Parameterization
Adjust the dynamic variables (framework, database, and client state) to match your active codebase architecture.
Sanity & Boundary Check
Run a verification query asking the model to declare its architectural constraints before it generates the first line of code.
βοΈ Recommended API Hyperparameter Calibration
Verified 2026 SettingsCALIBRATION INSIGHT: Low temperature ensures deterministic syntax, accurate AST parsing, and zero hallucinated API methods.
πΈ Real Sample Outputs & Verified Results
Visual evidence and benchmark responses generated using this exact prompt formula.
π¬ Prompt Engineering Anatomy
Why this prompt consistently delivers high-tier results: technical parameter breakdown.
Buffer Cache Analysis Calculates memory vs disk I/O penalties to prevent buffer pool thrashing under concurrent load.
Covering Index (INCLUDE) Appends payload columns to the index leaf pages, enabling index-only scans without table heap access.
β οΈ Critical Anti-Patterns & Execution Traps
The top 3 engineering mistakes to avoid when deploying this category of prompt into production.
Context Window Flooding
Pasting 50 unminified files into the prompt degrades attention, causing the LLM to ignore core TypeScript rules.
Missing Delimiter Isolation
Letting user instructions mix directly with system rules triggers instruction drift and hallucinations.
Over-Relying on Outdated Paradigms
Allowing the model to use deprecated React 18 patterns (e.g. useEffect for data fetching) creates security vulnerabilities.
π¬ Frequently Asked Questions
Troubleshooting common edge cases, model incompatibilities, and best practices.
Why is DeepSeek-R1 so effective for query plan analysis?
Its reasoning tokens model planner costing trees and disk spill mechanics mathematically before generating index recommendations.
Does this work with Supabase and Neon serverless databases?
Yes, it conforms strictly to standard PostgreSQL query planner behavior across all cloud providers.
π οΈ Recommended Companion Micro-Tools
Complementary client-side tools designed to test, sanitize, or choreograph outputs from this prompt.
Vibe Coding Prompt Architect (.cursorrules Studio)
Generate production-grade .cursorrules, .windsurfrules, and CLAUDE.md for Next.js 15, FastAPI, and Go with zero-hallucination guardrails.
Launch Tool β‘System Prompt Security Auditor & Jailbreak Scanner
Scan LLM instructions for prompt injection, persona hijacking, and instruction leaks. Score defense 0-100 and auto-harden in 0ms.
Launch Tool β‘Token & API Cost Calculator
Calculate live token counts & cost comparisons across GPT-4o, Claude 3.5, and DeepSeek-R1 with prompt caching discounts.
Launch Tool β‘Cursor AI & Claude 3.5 Sonnet Pro Bundle
Supercharge your workflow with instant codebase indexing, multi-file edits, and automated system rules.
Explore Related Database & Query Optimization Prompts View all β
Claude 3.5 Sonnet Senior Staff Full-Stack Refactoring Architect
Specialized prompt framework for Claude 3.5 Sonnet and Claude 3.7. Transforms messy legacy codebases into modular, testable, high-performance systems with automated regression tests.
cursorCursor AI (.cursorrules) for Next.js 15, React 19 & Tailwind CSS
Stops Cursor from writing outdated Next.js 13 patterns, Pages Router syntax, or deprecated React hooks. Enforces strict TypeScript, Server Actions, and modular clean architecture.
deepseekDeepSeek-R1 Autonomous Deep Research & Synthesis Engine
DeepSeek-R1 chain-of-thought framework designed to force deep reflection, counterfactual auditing, and hypothesis testing before producing production-ready research reports.