175 lines
3.7 KiB
Markdown
175 lines
3.7 KiB
Markdown
---
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name: postgresql-optimization
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description: "PostgreSQL database optimization workflow for query tuning, indexing strategies, performance analysis, and production database management."
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category: granular-workflow-bundle
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risk: safe
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source: personal
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date_added: "2026-02-27"
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---
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# PostgreSQL Optimization Workflow
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## Overview
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Specialized workflow for PostgreSQL database optimization including query tuning, indexing strategies, performance analysis, vacuum management, and production database administration.
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## When to Use This Workflow
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Use this workflow when:
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- Optimizing slow PostgreSQL queries
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- Designing indexing strategies
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- Analyzing database performance
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- Tuning PostgreSQL configuration
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- Managing production databases
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## Workflow Phases
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### Phase 1: Performance Assessment
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#### Skills to Invoke
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- `database-optimizer` - Database optimization
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- `postgres-best-practices` - PostgreSQL best practices
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#### Actions
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1. Check database version
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2. Review configuration
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3. Analyze slow queries
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4. Check resource usage
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5. Identify bottlenecks
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#### Copy-Paste Prompts
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```
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Use @database-optimizer to assess PostgreSQL performance
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```
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### Phase 2: Query Analysis
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#### Skills to Invoke
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- `sql-optimization-patterns` - SQL optimization
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- `postgres-best-practices` - PostgreSQL patterns
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#### Actions
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1. Run EXPLAIN ANALYZE
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2. Identify scan types
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3. Check join strategies
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4. Analyze execution time
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5. Find optimization opportunities
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#### Copy-Paste Prompts
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```
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Use @sql-optimization-patterns to analyze and optimize queries
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```
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### Phase 3: Indexing Strategy
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#### Skills to Invoke
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- `database-design` - Index design
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- `postgresql` - PostgreSQL indexing
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#### Actions
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1. Identify missing indexes
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2. Create B-tree indexes
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3. Add composite indexes
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4. Consider partial indexes
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5. Review index usage
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#### Copy-Paste Prompts
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```
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Use @database-design to design PostgreSQL indexing strategy
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```
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### Phase 4: Query Optimization
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#### Skills to Invoke
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- `sql-optimization-patterns` - Query tuning
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- `sql-pro` - SQL expertise
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#### Actions
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1. Rewrite inefficient queries
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2. Optimize joins
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3. Add CTEs where helpful
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4. Implement pagination
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5. Test improvements
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#### Copy-Paste Prompts
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```
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Use @sql-optimization-patterns to optimize SQL queries
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```
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### Phase 5: Configuration Tuning
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#### Skills to Invoke
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- `postgres-best-practices` - Configuration
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- `database-admin` - Database administration
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#### Actions
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1. Tune shared_buffers
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2. Configure work_mem
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3. Set effective_cache_size
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4. Adjust checkpoint settings
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5. Configure autovacuum
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#### Copy-Paste Prompts
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```
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Use @postgres-best-practices to tune PostgreSQL configuration
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```
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### Phase 6: Maintenance
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#### Skills to Invoke
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- `database-admin` - Database maintenance
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- `postgresql` - PostgreSQL maintenance
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#### Actions
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1. Schedule VACUUM
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2. Run ANALYZE
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3. Check table bloat
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4. Monitor autovacuum
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5. Review statistics
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#### Copy-Paste Prompts
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```
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Use @database-admin to schedule PostgreSQL maintenance
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```
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### Phase 7: Monitoring
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#### Skills to Invoke
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- `grafana-dashboards` - Monitoring dashboards
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- `prometheus-configuration` - Metrics collection
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#### Actions
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1. Set up monitoring
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2. Create dashboards
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3. Configure alerts
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4. Track key metrics
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5. Review trends
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#### Copy-Paste Prompts
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```
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Use @grafana-dashboards to create PostgreSQL monitoring
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```
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## Optimization Checklist
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- [ ] Slow queries identified
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- [ ] Indexes optimized
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- [ ] Configuration tuned
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- [ ] Maintenance scheduled
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- [ ] Monitoring active
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- [ ] Performance improved
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## Quality Gates
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- [ ] Query performance improved
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- [ ] Indexes effective
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- [ ] Configuration optimized
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- [ ] Maintenance automated
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- [ ] Monitoring in place
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## Related Workflow Bundles
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- `database` - Database operations
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- `cloud-devops` - Infrastructure
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- `performance-optimization` - Performance
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