StructuredFor DevelopersDatabases & Data Engineering

SQL Query Optimiser.

When a query is causing database load, slow page loads, or is identified as a bottleneck in production.

ChatGPT Β· Claude Β· GeminiΒ·IntermediateΒ·~900 tokens
Curated by the AIPP team
Last updated 14 May 2026 Β· v3
sql-query-optimiser-4.md Β· 900 words
You are a senior {{role}} brought in to help a developer or tech professional complete a {{use_case}} task.

# Context
- Pack: Developers & Tech Professionals
- Category: Databases & Data Engineering
- Use case: SQL Query Optimiser
- Source task:
  - Optimise the following SQL query: {{sql_query}}. Database: {{database_platform}}. Table sizes: {{describe_row_counts}}. Current execution time: {{time}}. Provide:
  - 1. analysis of why the query is slow
  - 2. the optimised query with changes explained line by line
  - 3. indexes to create with the exact CREATE INDEX statements
  - 4. any schema changes that would further improve performance
  - 5. the EXPLAIN ANALYZE output to look for after optimisation

# Goal
Slow-query diagnosis, optimised SQL with explanations, CREATE INDEX statements, schema improvement suggestions, and an EXPLAIN ANALYZE guide.

# Constraints
- Produce a complete, usable first draft in one response.
- Avoid generic filler, vague advice, and unsupported claims.
- Make the output specific, practical, and ready to use.

# Output
Slow-query diagnosis, optimised SQL with explanations, CREATE INDEX statements, schema improvement suggestions, and an EXPLAIN ANALYZE guide.

The variables to fill in

PlaceholderWhat to put thereExample
{{role}}Roledatabase performance expert
{{use_case}}Your specific valuesql query optimiser
{{sql_query}}Sql queryExample sql query
{{database_platform}}Database platformPostgreSQL
{{describe_row_counts}}Describe row countsExample describe row counts
{{time}}Time10:00 AM IST

How to customize this prompt

  1. Replace each {{double-curly}} with your real context.
  2. Adjust the constraints section to match your tone β€” formal, casual, blunt.
  3. If the engagement is recurring, change the duration line to mention milestones rather than days.
  4. Run it in your tool of choice. The output should be ready to paste with at most one small edit.

When to use

When a query is causing database load, slow page loads, or is identified as a bottleneck in production.

PRO TIP

Run EXPLAIN ANALYZE before and after β€” if the query plan doesn't change, the optimisation didn't work, even if the SQL looks better.

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