Skip to main content

Azure Service Fabric - Actors and Reminders execution order

The main topic of this post is the order execution of requests that are coming to a Reliable Actor of Azure Service Fabric.

Actor and Single-Thread
Of the most important characteristic of an Actor is that is single-thread. This means that if you have 3 different requests that are coming to the Actor, the actor will execute them one at a time.
As we can see in the above example, while the actor execute the first request, it will not start executing the second request. All the requests will be added to an 'execution queue'. In this way, there will be only one thread executing in the same time on an actor.
This is why, all the functionality that is exposed by an actor is asynchronous and should all the time have a cancellation token. We might have cases when we want to cancel a request because of a timeout or other causes.

Reminders
On top of this we have Timers and Reminders that are used in combination with an Actor when we want to execute a specific action after a period of time. For example we have an actor that checks every 10 minutes if new content is available for him or we can have another actor that checks every 12 hours if the commands that are stored by him are expired or not.

Execution order
Now, in combination with the execution flows, comes the big question. If we already have Request 2 and Request 3 in the 'execution queue', when our reminder will be executed?

We might have a clean-up or check action that needs to execute every 10 minutes. If Request 2 and 3 takes to much, we might end up executing the Reminder action to late.

It is important to know that the priority of an action triggered by a Reminder is higher than a normal Request that arrives to an actor. Because of this, the Reminder action is executed immediately after the current request.

This means that even if we have Request 2 and Request 3 in the 'execution queue', the Reminder action will be executed once the Request 1 ends. Even if Request 2 and 3 arrived before the Reminder action, the Reminder will have a higher priority.

Conclusion
It is important to remember that:

  • Each request (action) is executed one at a time
  • If actor is executing another action, the second action will be putted in a queue until the first action is executed
  • The action that is triggered by a reminder will be putted in the 'execution queue' with a higher priority

Comments

Popular posts from this blog

Why Database Modernization Matters for AI

  When companies transition to the cloud, they typically begin with applications and virtual machines, which is often the easier part of the process. The actual complexity arises later when databases are moved. To save time and effort, cloud adoption is more of a cloud migration in an IaaS manner, fulfilling current, but not future needs. Even organisations that are already in the cloud find that their databases, although “migrated,” are not genuinely modernised. This disparity becomes particularly evident when they begin to explore AI technologies. Understanding Modernisation Beyond Migration Database modernisation is distinct from merely relocating an outdated database to Azure. It's about making your data layer ready for future needs, like automation, real-time analytics, and AI capabilities. AI needs high throughput, which can be achieved using native DB cloud capabilities. When your database runs in a traditional setup (even hosted in the cloud), in that case, you will enc...

Cloud Myths: Migrating to the cloud is quick and easy (Pill 2 of 5 / Cloud Pills)

The idea that migration to the cloud is simple, straightforward and rapid is a wrong assumption. It’s a common misconception of business stakeholders that generates delays, budget overruns and technical dept. A migration requires laborious planning, technical expertise and a rigorous process.  Migrations, especially cloud migrations, are not one-size-fits-all journeys. One of the most critical steps is under evaluation, under budget and under consideration. The evaluation phase, where existing infrastructure, applications, database, network and the end-to-end estate are evaluated and mapped to a cloud strategy, is crucial to ensure the success of cloud migration. Additional factors such as security, compliance, and system dependencies increase the complexity of cloud migration.  A misconception regarding lift-and-shits is that they are fast and cheap. Moving applications to the cloud without changes does not provide the capability to optimise costs and performance, leading to ...

Cloud Myths: Cloud is Cheaper (Pill 1 of 5 / Cloud Pills)

Cloud Myths: Cloud is Cheaper (Pill 1 of 5 / Cloud Pills) The idea that moving to the cloud reduces the costs is a common misconception. The cloud infrastructure provides flexibility, scalability, and better CAPEX, but it does not guarantee lower costs without proper optimisation and management of the cloud services and infrastructure. Idle and unused resources, overprovisioning, oversize databases, and unnecessary data transfer can increase running costs. The regional pricing mode, multi-cloud complexity, and cost variety add extra complexity to the cost function. Cloud adoption without a cost governance strategy can result in unexpected expenses. Improper usage, combined with a pay-as-you-go model, can result in a nightmare for business stakeholders who cannot track and manage the monthly costs. Cloud-native services such as AI services, managed databases, and analytics platforms are powerful, provide out-of-the-shelve capabilities, and increase business agility and innovation. H...