Spark Strava

Processing my personal cycling data from the Strava iOS App using Apache Spark.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

• Docker

Give examples

Installing

A step by step series of examples that tell you how to get a development env running

Say what the step will be

Give the example

And repeat

until finished

End with an example of getting some data out of the system or using it for a little demo

Structure

There are 2 implementations of each package, a Scala and a Kotlin one.

####Modules

• general: basic analytics on a csv file with ~500 rides worth of data.
• suspension: comparisons of bike ride data using an air shock and a coil shock. Unfortunately, raw data is in HTML as Strava does not allow you to download segment data directly, so logic for extracting data from the HTML lives here.

Built With

• Kotlin - 1.3.21
• Scala - 2.13.1
• Apache Spark - 2.4.3
• ElasticSearch - 7.5.1
  • ElasticSearch High Level REST Client
• Gradle - Dependency Management

Versioning

We use SemVer for versioning. For the versions available, see the tags on this repository.

License

This project is licensed under the MIT License.