Testing future Apache Spark releases and changes on Google Kubernetes Engine and Cloud Dataproc Google Cloud Big Data and Machine Learning Blog Google Cloud

Do you want to try out a new version of Apache Spark without waiting on the entire release process? Does testing bleeding-edge builds on production data sound fun to you? (Hint: it's safer not to.) Then this is the blog post for you, my friend! We'll help you experiment with code that hasn't even been reviewed yet. If you're a little cautious, following my advice might sound like a bad idea, and often it is, but if you need to ensure that a pull request (PR) really fixes your bug, or your application will keep running after the release candidate (RC) process is finished, this post will help you try out new versions of Spark with a minimum amount of fuss.