Introduce a new mechanism for tracking read positions using message
sequences (hasReadSeq), similar to OpenIM, to allow for O(1) unread
count calculations.
- Implement `UserReadSeq` caching in Redis with Lua scripts to prevent
sequence regression (ensuring updates only occur if the new sequence
is greater than the current one).
- Update `ConversationCache` to support sequence-based unread count
computation (`maxSeq - hasReadSeq`).
- Refactor `MessageRepository` to use conditional updates for
`last_read_seq` in the database.
- Update `ChatService` to automatically update the sender's read
sequence when sending a message.
- Optimize `MarkAsRead` logic to update both database and Redis
sequence caches and refine notification targets for private vs
group chats.
- Update `jpush` client to use pointer types for boolean fields to
properly handle optional values in JSON.
This commit introduces several significant architectural improvements to enhance system performance, scalability, and reliability:
- **Performance Optimization (N+1 Problem Resolution)**: Implemented batching mechanisms across `MessageHandler`, `ChatService`, `GroupService`, `MessageService`, and `UserService`. This replaces multiple individual database/cache queries with single batch operations for fetching unread counts, last messages, participants, and user information.
- **Enhanced Unread Count Management**: Migrated unread count tracking to a Redis Hash-based approach (`unread#️⃣{userID}`). This allows for atomic increments/decrements and efficient retrieval of both individual conversation unread counts and total unread counts for a user.
- **Improved Message Sequencing**: Integrated Redis-based sequence (`seq`) pre-allocation for messages to ensure strict ordering and reduce database contention during high-concurrency message creation.
- **Push Service Reliability**: Refactored the push notification system to include persistent `PushRecord` tracking. Added a recovery mechanism (`recoverPendingPushes`) to reload pending notifications from the database upon service startup, ensuring better delivery guarantees.
- **WebSocket Reliability**: Updated the WebSocket hub to move away from in-memory history replay in favor of a client-driven synchronization model (`sync_required` event and `ack` handling), reducing memory overhead and improving connection stability.
- **Cache Layer Enhancements**: Added `HIncrBy` and `IncrBySeq` to the `Cache` interface and its implementations (`RedisCache`, `LayeredCache`) to support the new unread and sequence management logic.
This commit introduces several architectural improvements and optimizations across the codebase:
- **Performance & Reliability**:
- Implemented Redis pipelining in `ConversationCache.CacheMessage` to reduce network round-trips.
- Added a circuit breaker to the JPush client to prevent cascading failures.
- Introduced batch deletion and batch member addition capabilities in repositories.
- Added message idempotency support using `client_msg_id` and a Redis-based cache.
- Optimized WebSocket handling with connection limits (total and per-user) and improved error logging.
- **Code Refactoring**:
- Refactored `Router` to use a `RouterDeps` struct, simplifying the constructor and improving maintainability.
- Unified model ID generation logic using new `id_helper.go` (supporting UUID and Snowflake).
- Standardized JSON serialization/deserialization in models using `json_helper.go`.
- Refactored DTO conversion logic, specifically for `UserResponse` (using functional options) and `Report` responses.
- Removed redundant/deprecated DTOs like `PostDetailResponse` and `TradeItemDetailResponse`.
- **Cache Improvements**:
- Enhanced `LayeredCache` with `SetRaw` to avoid double-encoding when promoting values from Redis to local cache.
- Added `DeleteBatch` support to the cache interface.
- **Other Changes**:
- Cleaned up `config.go` by removing redundant default values and explicit environment variable overrides.
- Improved WebSocket registration flow to handle connection limits gracefully.
Add channel-specific hot post filtering and ranking across the posts
listing flow. Introduce refreshChannelRanks to compute per-channel hot
scores, new Redis cache keys for channel hot ranks, and update
repository/service/handler layers to accept channelID filtering
parameters. Update HotRankWorker dependency injection to include
ChannelRepository.
- Updated ChannelService to include caching for channel lists, improving performance and reducing database load.
- Introduced cache invalidation methods to ensure channel list consistency after modifications.
- Modified ChannelRepository to remove unused ListByIDs method, streamlining the repository interface.
- Updated wire generation to inject cache into ChannelService for enhanced functionality.
- Added new cache key constants for channel-related data management.
- Removed Gorse-related configurations, handlers, and dependencies from the codebase.
- Introduced HotRank feature with configuration options for ranking posts based on recent activity.
- Updated application structure to support HotRank processing, including new caching mechanisms and database interactions.
- Cleaned up related DTOs and repository methods to reflect the removal of Gorse and the addition of HotRank functionality.
Add complete schedule functionality including:
- Schedule screen with weekly course table view
- Course detail screen with transparent modal presentation
- New ScheduleStack navigator integrated into main tab bar
- Schedule service for API interactions
- Type definitions for course entities
Also includes bug fixes for group invite/request handlers
to include required groupId parameter.
