# Database Index Optimization Summary

**Date**: 2025-11-03  
**Database**: `booking_analysis`  
**Script**: `reportsV3/optimize_indexes.php`

## Overview

This document summarizes the database index optimizations performed to improve query performance for the Booking.com scraper and market intelligence reports.

## Optimization Results

### Indexes Added (8 new indexes)

#### Properties Table (6 indexes)
1. ✅ `idx_properties_sold_out_dates` - Optimizes sold_out_count calculations
2. ✅ `idx_properties_total_rooms` - Optimizes total_rooms filtering and counting
3. ✅ `idx_properties_price_checkin` - Optimizes price-based filtering and sorting
4. ✅ `idx_properties_minp_maxp` - Optimizes min/max price range queries
5. ✅ `idx_properties_last_fetch` - Optimizes scraper status and monitoring queries
6. ✅ `idx_properties_persons_checkin` - Optimizes occupancy-based filtering

#### Room Details Table (2 indexes)
1. ✅ `idx_room_details_hotel_query_inventory` - Optimizes hotel-specific availability lookups
2. ✅ `idx_room_details_dates_hotel` - Optimizes date range queries with hotel filtering

### Existing Indexes (6 indexes already present)
- `idx_properties_checkin_query_date`
- `idx_properties_id_checkin_checkout_query_date`
- `idx_properties_checkin_checkout_query_date_id`
- `idx_properties_id_checkin`
- `idx_room_details_query_date_inventory`
- `idx_room_details_hotel_checkin_checkout_query`

## Query Patterns Optimized

### 1. Date Range Queries
**Pattern**: Filter by `checkin`, `checkout`, and `query_date`
**Indexes**: 
- `idx_properties_checkin_query_date`
- `idx_properties_checkin_checkout_query_date_id`
- `idx_room_details_dates_hotel`

### 2. Sold Out Calculations
**Pattern**: Count properties where `is_sold_out = 1` or `total_rooms = '0'`
**Indexes**: 
- `idx_properties_sold_out_dates`
- `idx_properties_total_rooms`

### 3. Price Range Queries
**Pattern**: Filter/sort by `price_per_stay`, `minp`, `maxp`
**Indexes**: 
- `idx_properties_price_checkin`
- `idx_properties_minp_maxp`

### 4. Availability Queries
**Pattern**: Check room availability by `has_inventory`
**Indexes**: 
- `idx_room_details_query_date_inventory`
- `idx_room_details_hotel_query_inventory`

### 5. Scraper Monitoring
**Pattern**: Track last fetch times
**Indexes**: 
- `idx_properties_last_fetch`

### 6. Occupancy Queries
**Pattern**: Filter by number of persons
**Indexes**: 
- `idx_properties_persons_checkin`

## Performance Impact

### Expected Improvements
- **Date Range Queries**: 50-80% faster
- **Sold Out Calculations**: 60-90% faster
- **Price Filtering**: 40-70% faster
- **Availability Lookups**: 50-75% faster
- **Monitoring Queries**: 70-90% faster

### Statistics Updated
```sql
ANALYZE TABLE properties;
ANALYZE TABLE room_details;
```

## Usage

### Run Optimization
```bash
php reportsV3/optimize_indexes.php
```

### Check Indexes
```sql
SHOW INDEX FROM properties;
SHOW INDEX FROM room_details;
```

### Monitor Query Performance
```sql
EXPLAIN SELECT ... FROM properties WHERE ...;
```

## Maintenance

### Regular Maintenance
- Run `ANALYZE TABLE` after bulk data imports
- Monitor slow query log for new patterns
- Review index usage with `SHOW INDEX FROM table`

### Index Statistics
- Check index cardinality: `SHOW INDEX FROM table`
- Monitor index usage: MySQL Performance Schema
- Review unused indexes periodically

## Notes

- All indexes use BTREE structure (default for InnoDB)
- Composite indexes are ordered by selectivity (most selective first)
- Indexes are automatically maintained by MySQL
- No manual index updates required after creation

## Total Index Count

- **Properties Table**: 14 indexes
- **Room Details Table**: 9 indexes
- **Total**: 23 optimized indexes

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**Last Updated**: 2025-11-03


