Categories: Big DataDockers

Dockers – How to Get Started with Spark on Windows

This article represents tips on how to get started with Apache Spark on Windows using Dockers. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos.

If you are familiar with Dockers, the instructions below would help you get started with Spark in no time.

Download the Spark from https://spark.apache.org/downloads.html page. Remember to select a package type with option such as “Pre-built…”. Once the zipped files are downloaded, unzip the files under the location “C:\Users\<Username>”
Build Java8 image and start the container. Follow the instructions on this page, http://vitalflux.com/dockers-how-to-get-started-with-java8-dev-environment/.
Once the container is started, go to the folder where you would find spark files. Go to bin folder. The path could look like cd /mnt/Users/<Your_Username>/spark-1.6.0-bin-hadoop2.6/bin.
Execute the command “./pyspark” and you will get started with following screenshot:

Author
Recent Posts

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

Latest posts by Ajitesh Kumar (see all)

Agentic Reasoning Design Patterns in AI: Examples - October 18, 2024
LLMs for Adaptive Learning & Personalized Education - October 8, 2024
Sparse Mixture of Experts (MoE) Models: Examples - October 6, 2024

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.