federated-planning

What problem does it solve?

This Skill addresses the challenge of planning complex SPARQL queries across multiple data sources, offering a cost-based approach to optimize performance and resource usage.

Core Features & Use Cases

• Cost-based Planning: Determines the most efficient query execution plan by analyzing the cost of retrieving data from various sources.
• Federated Query Execution: Enables querying across multiple SPARQL endpoints without direct network interaction.
• Use Case: When querying a large, distributed RDF dataset, this Skill can help determine which sources to query, the order of querying, and the appropriate join algorithms to use, resulting in a more efficient query plan.

Quick Start

Enable the fedplan feature and include the sparq-fedplan dependency in your project. Use the planner to select sources for your query and determine the join order and algorithm.