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4.4 KiB
4.4 KiB
Django Database Query Optimization Plan
Phase 1: Analysis Complete ✅
Current Issues Identified:
- N+1 Query Problems in course, video, library, article, podcast views
- Missing select_related/prefetch_related optimizations
- Inefficient serializer methods with individual database queries
- Missing database indexes on frequently queried fields
- Suboptimal queryset patterns in views and admin
Phase 2: Query Optimization Implementation Plan
Step 1: Course App Optimization
Priority: HIGH (Core functionality)
1.1 Course Views Optimization
- CourseListAPIView: Add select_related for professor, category
- CourseDetailAPIView: Add prefetch_related for lessons, attachments, glossaries, participants
- MyCourseListAPIView: Optimize participant and completion queries
1.2 Course Serializers Optimization
- CourseListSerializer: Optimize professor and category access
- CourseDetailSerializer: Optimize all related object access
- CourseLessonSerializer: Optimize lesson completion and quiz queries
1.3 Course Admin Optimization
- CourseAdmin: Add select_related/prefetch_related to get_queryset
- ParticipantAdmin: Optimize student and course queries
Step 2: Video App Optimization
Priority: HIGH (Heavy content usage)
2.1 Video Views Optimization
- VideoListAPIView: Add prefetch_related for categories, collections
- VideoDetailAPIView: Optimize playlist and bookmark queries
- VideoCollectionViews: Optimize video relationships
2.2 Video Serializers Optimization
- VideoDetailSerializer: Optimize bookmark, rate, and playlist queries
- VideoCollectionSerializer: Optimize video access
Step 3: Library App Optimization
Priority: HIGH (Heavy content usage)
3.1 Library Views Optimization
- BookListView: Add prefetch_related for categories, collections
- BookDetailView: Optimize bookmark and rate queries
- BookCollectionViews: Optimize book relationships
3.2 Library Serializers Optimization
- BookSerializer: Optimize bookmark and rate queries
- BookCollectionSerializer: Optimize book access
Step 4: Article & Podcast Apps Optimization
Priority: MEDIUM
4.1 Similar patterns to Video/Library apps
- Apply same optimization patterns
- Focus on category and collection relationships
- Optimize bookmark and rate queries
Step 5: Account App Optimization
Priority: MEDIUM
5.1 User Admin Optimization
- UserAdmin: Already has some prefetch_related, enhance further
- StudentUserAdmin: Optimize course participation queries
Step 6: Chat App Optimization
Priority: MEDIUM
6.1 Chat Views Optimization
- RoomMessage queries: Add select_related for initiator, recipient, course
- ChatMessage queries: Add select_related for sender, room
Step 7: Bookmark & Rate System Optimization
Priority: HIGH (Used across all content types)
7.1 Bookmark Queries Optimization
- Optimize bookmark status checks in serializers
- Add bulk bookmark queries where possible
Phase 3: Database Indexing Plan
Step 1: Primary Indexes
- Add indexes on status fields (all models)
- Add indexes on created_at, updated_at fields
- Add indexes on slug fields
Step 2: Foreign Key Indexes
- Ensure all ForeignKey fields have indexes
- Add composite indexes for common query patterns
Step 3: Composite Indexes
- (user_id, service, status) for Bookmark model
- (course_id, student_id) for Participant model
- (status, created_at) for content models
Phase 4: Implementation Order
Week 1: Course App (Core functionality)
- Course views optimization
- Course serializers optimization
- Course admin optimization
- Add course-related indexes
Week 2: Content Apps (Video, Library)
- Video app optimization
- Library app optimization
- Add content-related indexes
Week 3: Remaining Apps
- Article and Podcast apps
- Account app enhancements
- Chat app optimization
- Bookmark system optimization
Week 4: Final Optimizations
- Remaining indexes
- Performance testing
- Query analysis and fine-tuning
Success Metrics
- Reduce average response time by 50-70%
- Reduce database query count per request by 60-80%
- Maintain exact same API response format
- Zero breaking changes to existing functionality
Implementation Strategy
- One optimization at a time
- Test each change individually
- Maintain backward compatibility
- Monitor performance improvements