Masstransit handling faults3/10/2023 Retr圜onfigurator.Ignore(typeof(NameTooShortException)) I have added this line of code in two places compared to the previous example. Probably that should not cause immediate failure to the message handling because the message will be moved to the error queue, and who wants to handle potentially huge amounts of messages manually, right? First-level retries are life saviors in these types of situations. You will most likely get service unavailable exception while the call is made to that particular service. Imagine, one of the services you are integrated with becomes unavailable for a couple of minutes. Here are some prerequisites before you can successfully run the sample code used in this article:Īlso, this article assumes you have knowledge of C# and basic knowledge of RabbitMQ, MassTransit, and MongoDB. It will make your data handling pipeline more resilient and reliable. In this article, I am going to describe how to implement error handling using the RabbitMQ and MassTransit library. Have you ever thought of the way how to handle messages that tolerates various errors? And also needs less manual work to handle these errors? Let me introduce you to the message retries, idempotency, and outbox in the messaging pipeline. The application also becomes more responsive to users. Users don’t have to wait until something has finished processing. It allows the handling of time-consuming tasks in the background. Our company is not an exception in that sense, and we are using messaging quite a lot in our applications. By asynchronous handling, I mean the data processing functionality executed in the background. Quite often it comes together with asynchronous data handling via messaging infrastructure. Redelivery is a form of retry (some refer to it as second-level retry) where the message is removed from the queue and then redelivered to the queue at a future time.Microservice architecture is trendy these days. In these situations, it's best to dust off and nuke the site from orbit - at a much later time obviously. Some errors take a while to resolve, say a remote service is down or a SQL server has crashed. If a DataException is thrown matching the filter expression, it wouldn't be handled by the second retry filter, but would be handled by the first retry filter. In the above example, if the consumer throws an ArgumentNullException it won't be retried (because it would obvious fail again, most likely). You can use multiple calls to these methods to specify filters for multiple exception types: No further filtering is possible if this version is used. Non-generic version that needs one or more exception types as parameters. You can also specify a function argument that will filter exceptions further based on other parameters. With no argument, all exceptions of specified type will be either handled or ignored. Generic version Handle and Ignore where T must be derivate of System.Exception. A filter can have either Handle or Ignore statements, combining them has unpredictable effects. Specify exception types using either the Handle or Ignore method. To implement this, you can use an exception filter. Sometimes you do not want to always retry, but instead only retry when some specific exception is thrown and fault for all other exceptions. Retry after a steadily increasing delay, up to the retry limitĮach policy has configuration settings which specifies the expected behavior. Retry after an exponentially increasing delay, up to the retry limit Retry after a delay, for each interval specified Retry after a fixed delay, up to the retry limit When configuring message retry, there are several retry policies available, including: Policy Learn how to configure message retry in this short video (opens new window).
0 Comments
Leave a Reply.AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |