Skip to main content

Patterns in Windows Azure Service Bus - Message Filter Pattern



In the last post I tacked about Splitter Pattern.Today we will continue with Message Filter Pattern. This pattern can be used with success with Windows Azure Service Bus.
As the name says, all the messages are filtered based on specific rules. Any message that will reach the consumer will be filter based on this rules. All the producers will use the same entry point where they will add messages. They don’t have to know that messages are filtered based on same rules. In this way, the message system will create a decoupling between the producer and the consumer. This pattern is used to be able to control the messages that where not routed to any subscriber.
Windows Azure Service Bus Topics can be used for this purpose. It gives us the ability to define rules that can check the messages content based on meta-information. These rules will be added to each subscriber and will specify if the messages will be accepted or not.
SqlFilter myCustomFilter =
    new SqlFilter("grade < 5");
namespaceManager.CreateSubscription(
               "StudentsGradesTopic",
               "StudentsWithProblemsSubscription",      
               myCustomFilter);  
 In the following example I created a subscription that accept messages that have the grade under 5. For more information about defining custom rules: http://www.vunvulearadu.blogspot.hu/2012/08/service-bus-topics-how-to-use-it-part-2.html
When we are using this pattern, consumers will only receive and process messages that where filtered. Because of this, we can have messages in the system that will not pass any filter. This messages need to be tracked in one way or another. For these situations we can define a custom rule in Service Bus Topic that will receive messages that didn’t pass the rest of the rules of the subscribers. The name of the filter expression is “MatchNoneFilterExpression”. In the following example we setup a rule that accept messages that didn’t pass the rest of the rules.
RuleDescription notConsumedMessagesRule = new RuleDescription()
{
     FilterAction = new SqlFilterAction(“set isNotConsumed = true;”),
     FilterExpression = new MatchNoneFilterExpression()
};
subscription.Add(notConsumedMessagesRule);

This pattern can be used with success when we need to control what kind of messages is received by each consumer. We can imagine that we need to manage grades from a university. For this purpose each department want to receive information related to them. The history department doesn’t want to receive grades from the mathematic department. For this case the Message Filter Pattern can help us a lot because it created only one entry point for the applications and services that add these messages.
Last edit: A list of all patterns that can be used with Windows Azure Service Bus, that were described by me LINK.  

Comments

  1. With Library 1.7 I don't see MatchNoneFilterExpression class in any of the dll.
    How do I implement this pattern without MatchNoneFilterExpression?

    ~Bhavya

    ReplyDelete
    Replies
    1. Look here: http://vunvulearadu.blogspot.ro/2012/12/windows-azure-service-bus-topic-detect.html

      Delete
    2. thanks Radu. Will give it a try and let you know.

      Delete

Post a Comment

Popular posts from this blog

Windows Docker Containers can make WIN32 API calls, use COM and ASP.NET WebForms

After the last post , I received two interesting questions related to Docker and Windows. People were interested if we do Win32 API calls from a Docker container and if there is support for COM. WIN32 Support To test calls to WIN32 API, let’s try to populate SYSTEM_INFO class. [StructLayout(LayoutKind.Sequential)] public struct SYSTEM_INFO { public uint dwOemId; public uint dwPageSize; public uint lpMinimumApplicationAddress; public uint lpMaximumApplicationAddress; public uint dwActiveProcessorMask; public uint dwNumberOfProcessors; public uint dwProcessorType; public uint dwAllocationGranularity; public uint dwProcessorLevel; public uint dwProcessorRevision; } ... [DllImport("kernel32")] static extern void GetSystemInfo(ref SYSTEM_INFO pSI); ... SYSTEM_INFO pSI = new SYSTEM_INFO(...

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...

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...