![]() ![]() If you are using Visual Studio 2019, then you can achieve the same by setting the target framework in the project properties, as shown below.īefore you can actually use the debugger with the image the first time, you need to build it first. 3rdman/dotnet-spark:0.5.0-linux-dev is using version 2.1 and therefore the TargetFramework element in HelloSpark.csproj needs to be set to netcoreapp2.1. Build the projectįirst, the dotnet core target framework version needs to match the one of the docker image. I am going to use the HelloSpark example project again, that I’ve already briefly described in this post.įor the docker image to work with this example, there is some preparation work required. Visual Studio 2019 Community Edition (16.3.1)įurthermore, I am also using the following extensions.ĭocker extension for Visual Studio Code Preparation.Here is an overview of the test environment components that I am using: I have tested this on a Windows 10 system running Docker Desktop with Linux containers. However, if you are using docker, you could skip this potentially time-consuming process and use the docker image instead. Obviously that means that you first need set up Apache Spark and its dependencies on your local machine. NET for Apache Spark application directly in Visual Studio by starting the related DotnetRunner in Debug mode. Then read along and find out how my docker image might be able to help.īefore we dig into the details however, I specifically want to thank Devin Martin for sharing his idea about such a docker image with me! BackgroundĪs you might be aware, you can debug your. NET for Apache Spark application with Visual Studio? But you don’t want to set up Apache Spark yourself?
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