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This repository contains the code we wrote during Rock the JVM's Spark Optimization with Scala course. Unless explicitly mentioned, the code in this repository is exactly what was caught on camera.
- install IntelliJ IDEA
- install Docker Desktop
- either clone the repo or download as zip
- open with IntelliJ as an SBT project
As you open the project, the IDE will take care to download and apply the appropriate library dependencies.
To set up the dockerized Spark cluster we will be using in the course, do the following:
- open a terminal and navigate to
spark-cluster
- run
build-images.sh
(if you don't have a bash terminal, just open the file and run each line one by one) - run
docker-compose up
To interact with the Spark cluster, the folders data
and apps
inside the spark-cluster
folder are mounted onto the Docker containers under /opt/spark-data
and /opt/spark-apps
respectively.
To run a Spark shell, first run docker-compose up
inside the spark-cluster
directory, then in another terminal, do
docker exec -it spark-cluster_spark-master_1 bash
and then
/spark/bin/spark-shell
Start by cloning this repository and checkout the start
tag:
git checkout start
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:
start
1.1-scala-recap
1.2-spark-recap
2.2-spark-job-anatomy
2.3-query-plans
2.3-query-plans-exercises
2.4-spark-ui
2.5-spark-apis
2.6-deploy-config
3.1-join-mechanics
3.2-broadcast-joins
3.3-column-pruning
3.4-prepartitioning
3.5-bucketing
3.6-skewed-joins
4.1-rdd-joins
4.2-cogroup
4.3-rdd-broadcast
4.4-rdd-skews
5.1-rdd-transformations
5.2-by-key-ops
5.3-reusing-objects
5.5-i2i-transformations
5.6-i2i-transformations-exercises
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.
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!