The official repository for the Rock the JVM Spark Streaming with Scala course

This repository contains the code we wrote during Rock the JVM's Spark Streaming with Scala. Unless explicitly mentioned, the code in this repository is exactly what was caught on camera.

How to install

• install Docker
• either clone the repo or download as zip
• open with IntelliJ as an SBT project
• in a terminal window, navigate to the folder where you downloaded this repo and run docker-compose up to build and start the containers - we will need them to integrate various stuff e.g. Kafka with Spark

How to start

Clone this repository and checkout the start tag by running the following in the repo folder:

git checkout start

How to see the final code

Checkout the master branch:

git checkout master

How to run an intermediate state

The repository was built while recording the lectures. Prior to each lecture, I tagged each commit so you can easily go back to an earlier state of the repo!

The tags are as follows (most recent first):

• 7.2-science-spark
• 7.1-science-http-kafka
• 6.4-stateful-computation
• 6.3-watermarks
• 6.2-processing-time-windows
• 6.1-event-time-windows
• 5.4-sentiment-analysis
• 5.3-twitter-exercises
• 5.2-twitter-receiver
• 5.1-socket-source
• 4.5-cassandra
• 4.4-akka
• 4.3-jdbc
• 4.2-kafka-dstreams
• 4.1-kafka-structured-streaming
• 3.3-dstreams-window-functions
• 3.2-dstreams-transformations
• 3.1-dstreams
• 2.4-streaming-datasets
• 2.3-streaming-joins
• 2.2-streaming-aggregations
• 2.1-streaming-dataframes
• 1.2-spark-recap
• 1.1-scala-recap

When you watch a lecture, you can git checkout the appropriate tag and the repo will go back to the exact code I had when I started the lecture.

For questions or suggestions

If you have changes to suggest to this repo, either

• submit a GitHub issue
• tell me in the course Q/A forum
• submit a pull request!