Category: Docker

19. January 2020 .NET Core, Apache Spark, Big Data, C#, Docker, Unix, Visual Studio Code

.NET for Apache Spark – VSCode with Docker on Linux and df.Collect()

.NET for Apache Spark docker image

Overview

My last article explained, how a .NET for Apache Spark project can be debugged in Visual Studio 2019 under Windows. I have also mentioned some limitation at the end of the article.
In this article I will extend the project a bit and demonstrate the aforementioned limitation using version 0.8.0 of my docker image for .NET for Apache Spark.
Furthermore, I will show a possible workaround that can be used, if you are running Docker and Visual Studio Code under Linux (Ubuntu 18.04).

The extended application

In order to demonstrate the issue, I have … more

21. December 2019 .NET Core, Apache Spark, C#, Docker, Visual Studio

.NET for Apache Spark – UDF, VS2019, Docker for Windows and a Christmas Puzzle

.NET for Apache Spark Container

Overview

The latest version of my docker image for .NET for Apache Spark tries to support direct debugging from Visual Studio 2019 and Visual Studio Code.
This is the first article of a small series that will show how this can be done on different environments (Windows and Linux), and what limitations might exist.

Test application & data

I have put together a very simple C# application, named “HelloUdf”, for demonstration purposes. It is supposed to read a JSON file (coordinates.json) that contains one coordinate string per line.
Besides reading the file, the application’s task is … more

12. October 2019 .NET Core, Apache Spark, Big Data, C#, Docker, Visual Studio, Visual Studio Code

Debug .NET for Apache Spark with Visual Studio and docker

Greatly simplify debugging your .NET for Apache Spark project by using docker

You do want to test and debug your .NET for Apache Spark application with Visual Studio? But you don’t want to set up Apache Spark yourself?
Then read along and find out how my docker image might be able to help.

Before we dig into the details however, I specifically want to thank Devin Martin for sharing his idea about such a docker image with me!

Background

As you might be aware, you can debug your .NET for Apache Spark application directly in Visual Studio by starting the related DotnetRunner in Debug mode.

Obviously that means … more

3. August 2019 .NET Core, Apache Spark, Big Data, Docker

.NET for Apache Spark 0.4.0 docker image

.NET for Apache Spark

.NET for Apache Spark 0.4.0 has been released.
If you want to test it out, you might find my Docker image useful.
Details are available at https://hub.docker.com/r/3rdman/dotnet-spark

UPDATE:

There’s a new image available. Click here for more details.

Quick reference

The image is based on Ubuntu 18.04, Apache Spark 2.4.3 with Hadoop 2.7, .NET Core 2.1.801 and .NET for Apache Spark 0.4.0. It is intended for the purpose of testing .NET for Apache Spark, without the need to install the required bits manually.
Per default, the related container will start up one … more

22. June 2019 .NET Core, Big Data, Docker, Time Series

Real-time data processing pipeline – Part 2 – OSC to ActiveMQ

Real-time data processing pipeline – Part 2 – OSC to ActiveMQ

Welcome back to the second part of my series, showcasing a real-time data processing pipeline!
In part 1, I explored visual real-time sensor data simulation, as the entry point into our pipeline.
Now it’s time to find out, how we can get the generated data into Apache ActiveMQ, by transferring it via the OSC protocol.

Apache ActiveMQ™ is the most popular open source, multi-protocol, Java-based messaging server. It supports a variety of Cross Language Clients and Protocols, and therefore makes it an excellent choice for our pipeline.

Get ActiveMQ up and running

I won’t … more

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