This is where we can take advantage of an open source project called Enchilada, which is a file system abstraction. Research and Reviews, ISSN 2348-697X (Online), Research Publish Journals. What we need is some storage abstraction. to Conceptualize an Efficient Mass Transit System Case Study of Abbottabad. The problems arise as each one of these providers have their own APIs and their own ways of connecting to each of these services. Cloud firstĪt the start of 2017 most companies were moving in to an era of “cloud first”, so we need to be able to store our data cost efficiently within our cloud provider of choice for example if we are hosting on AWS we would use S3, Azure we would use Azure Blob Storage and Digital Ocean we have Block Storage. The encrypted message data repository is merely just a wrapper around any IMessageDataRepository which encrypts the payload before storing it to the wrapped repository. You can read more about the MongoDB integration here. This worked great for a distributed system but you have to have a MongoDB cluster running just to send data around your system. MongoDbMessageDataRepositoryīack in April 2016, a colleague and I extended MassTransit to allow storing message data within the MongoDB GridFS. ![]() ![]() The file system stores the files physically on disk based on a path, this however has its limitations as the services all have to reside on the same machine or have access to a central file share. It is however advised not to use in-memory storage due to potential data loss. The in-memory storage is used for testing and also useful for demoing functionality to other people, it is self contained which makes it really easy to setup. ![]() Within MassTransit there are currently 4 message data repositories within the core MassTransit project InMemoryMessageDataRepository, FileSystemMessageDataRepository, MongoDbMessageDataRepository and EncryptedMessageDataRepository. Public class OrderTakenConsumer : IConsumer MassTransit has a feature called External Message Data Storage that implements the latter approach to sending large payloads across our systems, it handles all the magic of un-wiring the data from the message so you can concentrate on writing your business logic. MassTransit External Message Data Storage Feature This keeps our message sizes small and keeps our message brokers happily running along. When we publish the message containing the payload, we upload it to our external storage and then include a reference inside the message of how or where the corresponding payload can be found. Externally storing payloadĪnother approach is to externally store the large payload in external storage such as Azure Blob Storage or AWS S3. This allows the message brokers to keep running at high speeds without being compromised with large payloads. At the consumers end, it would then need to wait for all the message to be received and reassemble the payload. The publisher of the large payload would need to split the message up in to separate chunks then publish a message for each chunk. One approach is chunking the payload in to smaller parts and then sending each chunk in a separate message. No matter if you are using RabbitMQ or Azure Service Bus, it is always advised to use one of the two approaches below. There is a lot of information out there regarding sending large files across message-based systems. While doing that it can use tricks like type conversions, conversion of list elements, matching nested objects, specify header values and even use invariant variables(guaranteeing that the same value is used everywhere inside a message).2017, May 18 Message Queues and Big Payloads In MassTransit, Publish follows the publish subscribe (opens new window) messaging pattern. The message initializers will try to match the values of an anonymous object with the properties of the specified interface. ![]() Message initializers make it easy to produce interface messages using anonymous objects. Task Publish(object values, CancellationToken cancellationToken = default) where T : class MassTransit publish messages so slow in synchronous context. Startup.cs And in our publisher controller, will create post method to publish. When calling the Publish method above, you are using a specific overload: Publisher class library We will configure MassTransit in startup.cs file in our Asp.net core Web api application. What is happening? How this even works? The answer to all this magic are Message Initializers. But we are passing an anonymous object? And to make it even stranger, we only have the OrderSubmitted interface, we never created a class that implements it? The generic argument would make you think that the Publish method expeccts a message of type OrderSubmitted. What is maybe not immediatelly obvious in the code above, is that when you call publishEndpoint.Publish a lot of magic is going on. Let’s have a look at a small example that shows how to publish a message in MassTransit:
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