Category: Apache Spark

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

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

27. July 2019 Apache Spark, Apache Zeppelin, Big Data, Scala, Time Series

Real-time data processing pipeline – Part 4 – data transformation

So far, we know how to get our streaming data from ActiveMQ into Spark by using Bahir. On this basis, it is now time to implement the data transformation required to get to the desired output format.

Extract

As a quick reminder, here is the Scala code that I have used so far to retrieve the data from ActiveMQ and write it to a memory sink.

%spark

import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.functions._
import org.apache.spark.sql.types._

// create a named session
val spark = SparkSession
    .builder()
    .appName("ReadMQTTStream")
    .getOrCreate()

// read data from the OscStream topic
val mqttDf =
… more
20. July 2019 Apache Spark, Apache Zeppelin, Big Data, Scala, Time Series

ActiveMQ, Spark & Bahir – Real-time data processing pipeline – Part 3

ActiveMQ, Spark & Bahir - Real-time data processing pipeline – Part 3

Having explained how to visually simulate sensor data and how to get it into ActiveMQ during the first two parts, it is now time to explore an initial setup that allows Apache Spark to read a data stream from ActiveMQ using Bahir.

Things to be aware of

Before we start, there are a couple of things you should be aware of, in case you want to follow along and try this out yourself.

Spark & Bahir version matching

Apache Bahir Spark Extensions 2.3.3

As stated above, I would like to subscribe to an ActiveMQ topic with Apache Bahir to transfer

… more
8. June 2019 Apache Spark, Big Data, Time Series

Real-time data processing pipeline showcase – Series Overview

With the multitude of existing projects and solutions related to real-time data processing out there, it can be very easy to get lost in all the available options.

That is why I have started this blog series. I want to showcase an example pipeline that covers the topic of real-time data processing, from beginning (data generation) to the end (data presentation).

Generation on the left, data presentation on the right side


Below is an overview of the pipeline that I am going to use.

The example pipeline I am going to use

Here are the links to the related articles.

… more
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