Author: Indy

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

14. September 2019 Big Data, PostgreSQL, Time Series

PostgreSQL & Grafana – Real-time data processing pipeline – Part 6

Believe it or not, we are getting to the end of this small series about a potential real-time data processing pipeline.
In this final part I will show how Grafana can retrieve our pipeline data from PostgreSQL and visualize it as a graph. But before we dive into it, let’s have a quick recap of the previous topics.

So the bit that is still missing, is the visualization of data.

Starting the docker image

To keep things simple, I … 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
10. August 2019 .NET Core, Apache Spark, Big Data

.NET for Apache Spark – MQTT Streaming

.NET for Apache Spark 0.4.0 was released recently. Therefore, it is now time to test, if it can be used for MQTT Streaming as well.

If you followed my series about a real-time data processing pipeline, you probably remember that I have used Apache Bahir to retrieve streaming data from Apache ActiveMQ via the MQTT protocol. The data itself was generated by IanniX and forwarded to ActiveMQ utilizing my osc2activemq docker image.

Preparing .NET for Apache Spark for MQTT Streaming

For the most parts, you can follow this quick intro tutorial, which walks … more

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