Implementation : DataLayer.HiveDataStores

[TheNullest]

Description: The HiveMainTaskDataStore is responsible for directly interacting with the Hive database to manage task-related data. It inherits common data operations from the BaseHiveDataStoreAbstraction class and provides additional methods for specific task-related queries. This class ensures that tasks are stored, retrieved, updated, and deleted efficiently, leveraging Hive's capabilities for data persistence.

Inherited Methods from BaseHiveDataStoreAbstraction:

• ResultFuture<void> createEntity({required HiveTaskModel newEntity});
• ResultFuture<List<Entity>> getEntities();
• ResultFuture<Entity> getEntity({required String id});
• ResultFuture<void> updateEntity({required HiveTaskModel entity});
• ResultFuture<void> deleteEntity({required String id});
• ResultFuture<void> deleteAllSelected(List<String> keys);

Specific Filtering Methods:

• ResultFuture<List<Entity>> getMainTasksByStatus(int status);
• ResultFuture<List<Entity>> getMainTasksByDueDate(DateTime dueDate);
• ResultFuture<List<Entity>> getMainTasksByPriority(int priority);

Key Responsibilities:

• Data Retrieval: Fetch tasks from the Hive database based on various criteria (e.g., status, due date, priority).
• Data Creation: Add new tasks to the Hive database.
• Data Update: Modify existing tasks with updated information in the Hive database.
• Data Deletion: Remove tasks from the Hive database.
• Data Persistence: Ensure that task data is stored reliably and can be retrieved accurately.

Implementation Considerations:

• Data Storage: Utilize Hive as the data storage mechanism, ensuring efficient and reliable data operations.
• Data Synchronization: Implement synchronization mechanisms if using a remote data source to keep local and remote data consistent.
• Error Handling: Implement appropriate error handling to gracefully manage exceptions and provide informative feedback to the user.
• Performance Optimization: Consider performance optimization techniques (e.g., caching, indexing) to ensure efficient data access.
• Testing: Write comprehensive unit and integration tests to verify the correctness and reliability of the HiveMainTaskDataStore.

Example Usage:

• The MainTaskRepository will call methods from HiveMainTaskDataStore to perform CRUD operations and specific queries on tasks.
• The HiveMainTaskDataStore will handle the actual interaction with the Hive database, abstracting these details from the repository.

[TheNullest]

Fixed with #11