As a backend developer
I can optimize search and filter queries,
so that the application performs efficiently and provides quick responses to user queries.
Acceptance Criteria:
Query Optimization:
Analyze current search and filter queries to identify performance bottlenecks.
Optimize database indexes to improve query performance.
Refactor queries to reduce complexity and improve execution time.
Caching:
Implement caching for frequently used search and filter queries.
Ensure that the cache is invalidated appropriately when the underlying data changes.
Pagination:
Implement pagination for search and filter results to reduce the load on the database.
Ensure that pagination is user-friendly and provides a seamless experience.
Load Testing:
Conduct load testing to measure the performance of optimized queries.
Identify and address any remaining performance issues under high load conditions.
Monitoring:
Set up monitoring to track the performance of search and filter queries in production.
Implement alerts for performance degradation to ensure timely intervention.
Documentation:
Document the changes made to optimize search and filter queries.
Provide guidelines for writing efficient queries in the future.
Tasks:
[ ] Analyze current search and filter queries for performance bottlenecks.
[ ] Optimize database indexes for improved query performance.
[ ] Refactor complex queries to improve execution time.
[ ] Implement caching for frequently used queries.
[ ] Ensure cache invalidation for updated data.
[ ] Implement pagination for search and filter results.
[ ] Conduct load testing to measure performance improvements.
[ ] Set up monitoring and alerts for query performance.
[ ] Document optimization changes and provide guidelines for future queries.
Notes:
Ensure that all optimizations follow best practices for database performance.
Regularly review and update the optimization strategy as the project evolves.
As a backend developer I can optimize search and filter queries, so that the application performs efficiently and provides quick responses to user queries.
Acceptance Criteria:
Query Optimization:
Caching:
Pagination:
Load Testing:
Monitoring:
Documentation:
Tasks:
Notes:
EPIC 7