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4.4 KiB

Django Database Query Optimization Plan

Phase 1: Analysis Complete

Current Issues Identified:

  1. N+1 Query Problems in course, video, library, article, podcast views
  2. Missing select_related/prefetch_related optimizations
  3. Inefficient serializer methods with individual database queries
  4. Missing database indexes on frequently queried fields
  5. 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)

  1. Course views optimization
  2. Course serializers optimization
  3. Course admin optimization
  4. Add course-related indexes

Week 2: Content Apps (Video, Library)

  1. Video app optimization
  2. Library app optimization
  3. Add content-related indexes

Week 3: Remaining Apps

  1. Article and Podcast apps
  2. Account app enhancements
  3. Chat app optimization
  4. Bookmark system optimization

Week 4: Final Optimizations

  1. Remaining indexes
  2. Performance testing
  3. 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