Category: Apache Spark

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

2. October 2019 .NET Core, Apache Spark, Big Data, C#

.NET for Apache Spark 0.5.0 docker image

Version 0.5.0 of .NET for Apache Spark has been released. This means that it is time to update my previously released docker image and also show how to perform a quick test using the included C# example project.
A more detailed description of the image itself is available at https://hub.docker.com/r/3rdman/dotnet-spark

.NET for Apache Spark docker image
.NET for Apache Spark docker image

If you are looking for a way to debug your .NET for Apache Spark project, then you might be interested in this post as well.

Starting and accessing the container

You can fire up a container based on this .NET … more

31. August 2019 Apache Spark, Apache Zeppelin, Big Data, Database, PostgreSQL, Scala

Spark to PostgreSQL – Real-time data processing pipeline – Part 5

Previously I have demonstrated how streaming data can be read and transformed in Apache Spark. This time I use Spark to persist that data in PostgreSQL.

Quick recap – Spark and JDBC

As mentioned in the post related to ActiveMQ, Spark and Bahir, Spark does not provide a JDBC sink out of the box. Therefore, I will have to use the foreach sink and implement an extension of the org.apache.spark.sql.ForeachWriter. It will take each individual data row and write it to PostgreSQL.

Preparing PostgreSQL

TimescaleDB logo

Even though I want to use PostgreSQL, I am actually

… more
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