Mecanismo de Regra RETINA is based on two main components: the actor model and message queue.
Actor model
Actor model enables high performance and concurrent processing of messages from device transport layer as long as server-side API calls. ThingsBoard uses own Actor System implementation that is sharpened for our use case. There are two main actors related to the rule engine: Rule Chain Actor and Rule Node Actor.
Rule Chain Actor
Rule Chain actor is responsible for rule node configuration, routing messages between rule nodes, and handling queue put and ack commands. Each Rule Chain Actor represent single rule chain configured by the user. Rule Chain Actor is parent for multiple Rule Node actors.
Rule Node Actor
Rule Node actor is responsible for processing of the incoming messages.
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Getting started guides - Esses guias fornecem uma visão geral rápida dos principais recursos do RETINA. Projetado para ser concluído em 15-30 minutos.
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Connect your device - Learn how to connect devices based on your connectivity technology or solution.
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Data visualization - These guides contain instructions how to configure complex ThingsBoard dashboards.
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IoT Data analytics - Learn how to use rule engine to perform basic analytics tasks.
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amostras de hardware - Learn how to connect various hardware platforms to ThingsBoard.
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Advanced features - Learn about advanced ThingsBoard features.