📄️ GraphQL at Powerhouse
In this section, we will cover the core concepts of GraphQL with examples applied to the Powerhouse ecosystem. GraphQL plays a fundamental role in defining document model data schemas, handling data access patterns, and enabling event-driven workflows within the Powerhouse ecosystem.
📄️ Using the API
Introduction to Switchboard
📄️ Using subgraphs
This tutorial will demonstrate how to create and customize a subgraph using our To-do List project as an example.
📄️ Analytics processors
An Analytics Processor is an object that can track analytics for operations and state changes on a set of document models. These analytics can be used to generate bespoke dashboards and reports, specific to the type or implementation of the document model.
📄️ Relational database processor
In this chapter, we will implement a Todo-List relational database processor. This processor receives processed operations from the reactor and can use the prevState, resultingState, or data from the operations themselves to populate a database.
🗃️ Analytics Engine
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📄️ Drive analytics
Drive Analytics provides automated monitoring and insights into document drive operations within Powerhouse applications. This system tracks user interactions, document modifications, and drive activity to help developers understand usage patterns and system performance.