chrismin1202/SDSC2018-Spark-Bootcamp

SDSC2018 Spark Bootcamp Code Samples

SDSC2018-Spark-Bootcamp Code Examples

DEPRECATED. This repository is no longer maintained. The materials have been ported over to spark-bootcamp.

This repository contains code samples for Apache Spark/Spark MLlib Workshop @ SDSC 2018.

• Scala Version: 2.11.12 (You can downgrade, but I recommend 2.11.8 or higher)
• Recommended IDE: IntelliJ

Examples

• Dataset Join Examples
• Machine Learning: A simple NaiveBayes-based spam detector
  • Note that the dataset for training is in the resources folder.
• Spark Streaming Example: A simple streaming job that counts the number of occurrences each word in a stream.
• Task Not Serializable Example
• More examples in Databricks Notebooks:
  • Scala Examples: Contains some Scala basics.
  • RDD Examples
  • DataFrame Examples
  • Dataset Examples
  • Machine Learning: Same as the machine learning example in this repository.