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https://issues.apache.org/jira/browse/CASSANDRA-17147?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17452883#comment-17452883
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Andres de la Peña commented on CASSANDRA-17147:
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[~smiklosovic] guardrails are meant to be used to repeatedly evaluate values, 
mainly in queries but also in background processes such as compaction. For the 
latter case the guardrail would simply use a {{null}} {{ClientState}}. However, 
guardrails aren't meant to replace startup checks, which have a different 
lifecycle and trigger different actions. So I don't think that CASSANDRA-17180 
should be implemented with guardrails.

> Guardrails prototype
> --------------------
>
>                 Key: CASSANDRA-17147
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-17147
>             Project: Cassandra
>          Issue Type: New Feature
>          Components: Feature/Guardrails
>            Reporter: Andres de la Peña
>            Assignee: Andres de la Peña
>            Priority: Normal
>             Fix For: 4.x
>
>          Time Spent: 19h 50m
>  Remaining Estimate: 0h
>
> The purpose of this ticket is creating an initial implementation of the 
> guardrails framework, as well as adding a few simple guardrails using this 
> framework.
> To keep things easy, this initial implementation would only support 
> guardrails that are triggered on the coordinator, and they would be 
> dynamically updatable only through JMX.
> Once we have this initial framework ready in a feature branch we can have 
> multiple tickets addressing all the things that would have been left out of 
> the scope of this ticket, such as:
> * Dynamic updates through virtual tables
> * Being able to notify about guardrails triggered on replicas
> * Using custom exceptions other than {{InvalidRequestException}}.
> * Porting existing limits to use the new guardrails framework
> * Adding new guardrails beyond the initial ones
> The reason for having this simpler prototype is that it will give us a common 
> ground to parallelize work on the parts mentioned above.



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