Skip to main content

Taks and Thread.Sleep

What is the problem of the following code?
Task.Factory.StartNew(() =>
    {
        while (true)
        {
            Console.WriteLine("@ " + DateTime.Now.ToString());
            Thread.Sleep(TimeSpan.FromSeconds(2));
        }
    });
var task = Task.Factory.StartNew(() =>
{
    while (true)
    {
        Console.WriteLine("!  " + DateTime.Now.ToString());
        Thread.Sleep(TimeSpan.FromSeconds(4));
    }
});

Task.WaitAll(task);
The main problem is related to Thread.Sleep. Using this method in combination with tasks we can gen odd behavior and in the end the performance of the tasks can be affected. One of the behavior that we could get is related to how the sleep period – that will not be the same as we expect ("random" sleep interval).
This occurs because of the TPL behavior, which will not guarantee that each task will have a dedicated thread where he can run.
What we should do to resolve this problem?
We have two possible solution.
1. One solution is to create a timer for each task. This would work 100% and for this example the solution is the way how we should implemented this from the start.
2. In other cases we wouldn't be able to use timers and we would like to be able to put the task in sleep. In the case we have a long running task, than we could set the TaskCreationOption to LongRunning. This will notify TPL that this task is a long running task and will create a dedicate thread for it.
Task.Factory.StartNew(() =>
    {
        while (true)
        {
            Console.WriteLine("@ " + DateTime.Now.ToString());
            Thread.Sleep(TimeSpan.FromSeconds(2));
        }
    },TaskCreationOptions.LongRunning);
var task = Task.Factory.StartNew(() =>
{
    while (true)
    {
        Console.WriteLine("!  " + DateTime.Now.ToString());
        Thread.Sleep(TimeSpan.FromSeconds(4));
    }
}, TaskCreationOptions.LongRunning);

Task.WaitAll(task);

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...