N+1 Query Performance Issue in Vets Endpoint-created-by-agentic

[shaykeren]

Issue Description

The /vets.html endpoint is experiencing performance issues due to N+1 query patterns when loading veterinarians and their specialties.

Root Cause

1. The Vet entity uses FetchType.EAGER for the specialties relationship, causing unnecessary database queries
2. Missing optimized query to fetch vets with their specialties in a single operation
3. Missing database indexes on the join table columns

Solution

A pull request (#92) has been created with the following changes:

1. Changed FetchType.EAGER to FetchType.LAZY in the Vet entity
2. Added JOIN FETCH query in VetRepository for efficient loading
3. Added @EntityGraph for paginated queries
4. Added database indexes on vet_id and specialty_id columns
5. Implemented query result caching

Expected Outcome

• Reduced number of database queries
• Improved response time for the /vets.html endpoint
• Better database performance with proper indexes
• Efficient caching of frequently accessed data

Monitoring

After implementing these changes, we should monitor:

1. Response time of the /vets.html endpoint
2. Number of database queries executed
3. Cache hit rates
4. Database index usage

Related Links

• PR: Fix N+1 Query Performance Issue in Vets Endpoint-created-by-agentic #92