Skip to main content

Patterns in Windows Azure Service Bus - Resequencer Pattern

Today we will talk about another message pattern: Resequencer. In the last post I presented Recipient List Pattern. In comparison with this pattern, Resequencer Pattern is very different. The main scope of this pattern is to help us to put messages back in a specific order.
When we are talking about messages, we can talk about a stream of messages that need to be received in a specific order. It is very crucial for the receiver to retrieve the messages in the same order he receives.
Theoretically, in a simple case we will receive messages in the expected order. This is offer Service Bus by default. But what happen if an error occurs on the receiver and message is putted back in the queue. We will need to retry to consume that message one more time and not the next message.
Another case when the order can be broken is when we have more than one producer. For this case we can have two different situations.
In the first scenario, each producer will produce messages for different stream of messages. In this case we can very easily use the session id of the messages to be able to receive only messages for a specific stream. But we will still need a way to detect if the messages if the message that we expect. First step is to add two properties to each message. The first property will tell us how many messages are in this message stream and the other one will tell us the index of the current message. Base on this information, the receiver will know the index of the next message and will be able to validate it. If we will receive messages that don’t have a valid index id, we can throw them in the defer queue, from where we will be able to retrieve them anytime.
Producer:
QueueClient  queueClient = …
BrokekedMessage message = new BrokeredMessage();
message.Properties[“index”] = 1;
message.Properties[“count”] = 10;
message.SessionId = 123;
queueClient.Send(message);
Consumer:
MessageSession messageSession = queueClient.AcceptMessageSession(123);
int currentIndex = 1;
while(true)
{
    BrokeredMessage message = messageSession.Receive();
    if(int.Parse(message.Properties[“index”]) != currentIndex)
    {
        message.DeadLetter();
        continue;
    }
    …
    message.Complete();
    if(int.Parse(messsage[“count”]) == currentIndex)
    {
        break;
    }
    currentIndex++;
}
Next we need to take message that were marked as dead letters and moved automatically to the dead letter queue.
QueueClient deadLetterQueue = QueueClient.CreateConnectionString(
    connectionString,
    QueueClient.FormatDeadLetterPath(“FooQueue”));
while (true)
{
    BrokeredMessage message = deadLetterQueue.Receive();
    // same logic as in the normal queue.
    // we need to abandon the message and not to mark him as dead letter.
    // we already process the dead letter messages
}
The second scenario is a little more complicated. In the same queue, we have more than one producer that produce message for a specific stream. The chances to have messages in the expected order are very low. The solution is similar to the first one. We can add the index of each message and total number of messages as properties to the message that is added to the queue. The consumer can check this values and when the message index is wrong, the message will be added to the defer queue.
In the both solutions, the most time consuming is retrieving the message from the defer queue. The good part that usually the messages are in a kind of order, even if is not perfect (eq. 1 3 5 2 6 7 10 8 9). Because of this we will not need to “iterate” through the defer queue to many times.
This pattern can be used for cases when it is critical to process messages in a specific order. In a system that sells tickets for a baseball game this is not so critical. But for a system that receives commands using messages it is very important to execute the commands in the same order – for example a nuclear power station.
This is a pattern that is not very common. When you reach a case where you need this pattern, try to double check again if you need it, because this pattern can be very expensive – from the perspective of processing time and resources.
Last edit: A list of all patterns that can be used with Windows Azure Service Bus, that were described by me LINK.  

Comments

Popular posts from this blog

How to audit an Azure Cosmos DB

In this post, we will talk about how we can audit an Azure Cosmos DB database. Before jumping into the problem let us define the business requirement: As an Administrator I want to be able to audit all changes that were done to specific collection inside my Azure Cosmos DB. The requirement is simple, but can be a little tricky to implement fully. First of all when you are using Azure Cosmos DB or any other storage solution there are 99% odds that you’ll have more than one system that writes data to it. This means that you have or not have control on the systems that are doing any create/update/delete operations. Solution 1: Diagnostic Logs Cosmos DB allows us activate diagnostics logs and stream the output a storage account for achieving to other systems like Event Hub or Log Analytics. This would allow us to have information related to who, when, what, response code and how the access operation to our Cosmos DB was done. Beside this there is a field that specifies what was th...

Can User Technical Profile Influence AI Architecture Decisions?

In the last few days, I ran a small experiment on Devin/Windsurf/Cascade, BMAD, and LLM-based architecture decisions. The initial concern was simple: if an AI coding assistant knows something about the user, for example, that the user is a Java developer or a .NET developer, can this information influence the architecture and technology stack that the AI will propose? This question is important because many companies are starting to use AI tools not only for coding but also for product discovery, architecture, documentation, and technical decision-making. If the AI is influenced by the developer's personal profile, the result may not be fully neutral. It may look like a business or architecture decision, but in reality, it may be partially shaped by the context of the person using the tool. The test was done using BMAD with Devin/Windsurf/Cascade. The scenario was a unified field service operations platform. The task was to let BMAD refine the product, define the architecture and s...

ADO.NET provider with invariant name 'System.Data.SqlClient' could not be loaded

Today blog post will be started with the following error when running DB tests on the CI machine: threw exception: System.InvalidOperationException: The Entity Framework provider type 'System.Data.Entity.SqlServer.SqlProviderServices, EntityFramework.SqlServer' registered in the application config file for the ADO.NET provider with invariant name 'System.Data.SqlClient' could not be loaded. Make sure that the assembly-qualified name is used and that the assembly is available to the running application. See http://go.microsoft.com/fwlink/?LinkId=260882 for more information. at System.Data.Entity.Infrastructure.DependencyResolution.ProviderServicesFactory.GetInstance(String providerTypeName, String providerInvariantName) This error happened only on the Continuous Integration machine. On the devs machines, everything has fine. The classic problem – on my machine it’s working. The CI has the following configuration: TeamCity .NET 4.51 EF 6.0.2 VS2013 It see...