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Azure Data Factory | Introduction and Creating Pipelines

May 06, 2020

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OOPS Tutorials:Polymorphism

This is another important concept of object-oriented programming languages. The word 'poly' means different and 'morphs' means forms. Thus, Polymorphism means the ability to take more than one form. It means that an operation in the object-oriented programming may exhibit different behaviours in different situations or instances. In the object-oriented programming, it is treated as the ability of objects to have many methods of the same name, but with different forms. The different behaviour depends on the data types used in the given operation. Polymorphism is extensively used in implementing the inheritance concept of OOPS. Polymorphism allows you to invoke derived class methods through a base class reference during run-time. This is very much useful in the case when you need to assign a group of objects to an array and then invoke each of their methods. Examples: using System; public class Vehicle { public virtual void Vehicle() { Console.WriteLine(&qu

How to Create a Multi-Stage YAML Pipeline in Azure DevOps | Azure DevOps

MVC-Action Filters

Action Filters Action filters will apply pre or post Processing logic to a controller action and it result. Action filters are the component we want to use to apply cross cutting logic to our application i.e. the logic that we must execute across multiple controller actions but we do not want to duplicate the logic inside of individual controller. Name Description OutputCache Cache the output of an Action method. Authorize Restrict an action or controller to authorize user or role. ValidateInput Turn on/off the request validation. ValidateAntiForgeryToken Helps prevent cross site request forgeries. HandleError Can specify a view to render in the event of an unhandled exception. OutputCache: tells the runtime that it allows to cache the final output of the action and use the cache result to serve the future request. [ OutputCache (Duration=10, VaryByParam= "t1" )] Authorize: Authorize attribute allow us to ensure that user

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Azure Data Factory | Introduction and Creating Pipelines

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