206 lines
4.9 KiB
Markdown
206 lines
4.9 KiB
Markdown
# Query Enhancement Quick Start Guide
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## 🚀 Immediate Actions (Do These First)
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### 1. Create Performance Indexes (5 minutes)
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Run the index creation script in your database:
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```bash
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# Connect to your database and run:
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psql $DATABASE_URL -f backend/database/performance_indexes.sql
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# Or in Supabase SQL Editor, copy/paste the contents of:
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# backend/database/performance_indexes.sql
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```
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**Expected Result:** 50-80% faster queries immediately
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**Verify:** Check index usage:
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```sql
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SELECT indexname, idx_scan
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FROM pg_stat_user_indexes
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WHERE tablename = 'OptionsFlow_monthly'
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ORDER BY idx_scan DESC;
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```
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---
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### 2. Test Query Profiling (2 minutes)
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The profiler is already integrated! Just make a request:
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```bash
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# Make a normal options flow request
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curl http://localhost:3010/api/options/flow?startDate=2024-01-15&endDate=2024-01-15
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# Check performance stats
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curl http://localhost:3010/api/performance/stats
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# See slow queries
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curl http://localhost:3010/api/performance/slow-queries
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```
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**Expected Result:** You'll see query timing in console logs and response metadata
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---
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### 3. Monitor Performance (Ongoing)
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Access the performance dashboard:
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```bash
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# Comprehensive metrics
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GET http://localhost:3010/api/performance/metrics
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# Connection pool stats
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GET http://localhost:3010/api/performance/pool-stats
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# Get EXPLAIN plan for a query
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POST http://localhost:3010/api/performance/explain
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Body: {
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"query": "SELECT * FROM \"OptionsFlow_monthly\" WHERE \"CreatedDate\" = '2024-01-15'",
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"params": []
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}
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```
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---
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## 📊 What You Get
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### Immediate Benefits
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1. **Faster Queries** - Composite indexes reduce query time by 50-80%
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2. **Performance Visibility** - See exactly how long queries take
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3. **Slow Query Detection** - Automatically identify bottlenecks
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4. **Connection Pool Monitoring** - Track database connection health
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### New Endpoints
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- `GET /api/performance/stats` - Query performance statistics
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- `GET /api/performance/slow-queries` - List slow queries
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- `GET /api/performance/metrics` - Comprehensive metrics
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- `GET /api/performance/pool-stats` - Connection pool info
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- `POST /api/performance/explain` - Get query execution plan
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- `POST /api/performance/clear-metrics` - Reset metrics
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---
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## 🔍 Understanding the Results
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### Query Metrics in Response
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When you call `/api/options/flow`, you'll now see:
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```json
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{
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"success": true,
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"data": [...],
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"metadata": {
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"queryMetrics": {
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"queryName": "optionsFlowQuery",
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"duration": 234.56, // milliseconds
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"memoryDelta": 12.34, // MB
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"rowCount": 150
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}
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}
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}
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```
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### Performance Stats
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```json
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{
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"stats": {
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"count": 42, // Total queries profiled
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"avgDuration": 234.56, // Average query time
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"p95Duration": 450.23, // 95th percentile
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"slowQueries": 3 // Queries > 1000ms
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}
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}
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```
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---
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## ⚠️ Important Notes
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### Index Creation
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- **Test in development first** - Indexes take time to build on large tables
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- **Monitor disk space** - Indexes use additional storage
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- **Run during off-hours** - Large index creation can lock tables
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### Query Profiling
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- **Overhead is minimal** - < 1ms per query
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- **Metrics are in-memory** - Cleared on server restart
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- **Slow query threshold** - Default is 1000ms (configurable)
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---
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## 🎯 Next Steps
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After verifying the indexes work:
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1. **Review slow queries** - Use `/api/performance/slow-queries` to identify bottlenecks
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2. **Get EXPLAIN plans** - Use `/api/performance/explain` to see query execution details
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3. **Implement materialized views** - See `QUERY_ENHANCEMENT_ANALYSIS.md` Section 2
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4. **Add enhanced caching** - See `QUERY_ENHANCEMENT_ANALYSIS.md` Section 4
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---
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## 🐛 Troubleshooting
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### Indexes Not Being Used
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```sql
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-- Check if indexes exist
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SELECT indexname FROM pg_indexes WHERE tablename = 'OptionsFlow_monthly';
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-- Force index usage (temporary)
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SET enable_seqscan = off;
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-- Run your query
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SET enable_seqscan = on;
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```
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### Profiler Not Working
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- Check that `QueryProfiler` is imported in `optionsFlow.js`
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- Verify the route is using `QueryProfiler.profile()`
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- Check console logs for errors
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### High Memory Usage
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- Check `queryMetrics.memoryDelta` in responses
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- Consider implementing result streaming (see analysis doc)
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- Review date range - smaller ranges = less memory
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---
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## 📚 Full Documentation
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See `QUERY_ENHANCEMENT_ANALYSIS.md` for:
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- Complete optimization strategies
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- Materialized views implementation
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- Advanced caching strategies
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- Query builder patterns
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- Connection pooling enhancements
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---
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## ✅ Success Checklist
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- [ ] Indexes created and verified
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- [ ] Query profiler working (check console logs)
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- [ ] Performance endpoint accessible
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- [ ] Slow queries identified
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- [ ] Query times improved by 50%+
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---
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**Questions?** Check the full analysis document or review the code in:
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- `backend/database/performance_indexes.sql`
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- `backend/src/utils/queryProfiler.js`
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- `backend/src/routes/performance.js`
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