Question 1

How does Clara rules compare to Drools for Java projects?

Accepted Answer

Clara offers a more declarative, Clojure-native approach with better integration for Clojure stacks, while Drools is a mature, enterprise-focused engine with broader Java community support but a steeper learning curve for rule management.

Question 2

How to use Clara rules with a Spring Boot application?

Accepted Answer

Integrate it by adding the Clara dependency via Clojars and calling its Java-interop APIs from Spring components; you'll need to handle Clojure runtime initialization and session management within your Java code.

Question 3

Is Clara rules suitable for real-time decision making?

Accepted Answer

It can handle real-time scenarios, but the forward-chaining inference may introduce latency, so performance testing is advised for high-frequency use cases like fraud detection.

Question 4

What are the performance implications of using Clara rules?

Accepted Answer

Performance depends on rule complexity and data volume; the engine optimizes with Rete algorithm variants, but large fact bases or many rules can impact throughput, requiring careful session design.

Question 5

Can I run Clara rules in the browser with ClojureScript?

Accepted Answer

Yes, Clara supports ClojureScript for web applications, but as noted in the README, testing requires puppeteer setup, and rule execution happens client-side, which may affect bundle size.

Question 6

How does Clara handle rule conflicts or prioritization?

Accepted Answer

Clara uses salience (priority) settings on rules and deterministic execution based on the Rete network, but developers must explicitly manage conflicts through rule design or custom strategies.

Clara Rules

What is Clara Rules?

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