Example: Multi-Level Tree

The "Engines" table serves as the core repository for storing information about various engines or entities within the multi-level tree structure. It includes columns such as name, type, registered number for identification, energy consumption metrics, details related to consumption of lower levels, total energy consumption, parent entity's name, indicators for recalculating data, old parent entity's name (if changed), and other metadata such as record ownership and creation/modification timestamps. The table is designed to maintain hierarchical relationships through columns like parent and old parent, allowing for the efficient management of entities and their nested levels within the tree structure.

This database is particularly suited for applications where entities or objects need to be organized hierarchically, such as organizational charts, product categorizations, or any scenario involving nested relationships. It supports operations like querying for parent-child relationships, calculating aggregated metrics across hierarchical levels, and updating relationships dynamically as entities are added, removed, or restructured within the tree. Overall, the "Example: Multi-Level Tree" database facilitates effective data management and analysis of hierarchical structures, providing a robust framework for organizing and navigating complex relationships among entities.