spark-board 0.0.3

Interactive visualization of Spark jobs

spark-board

Developing in Docker

Build Docker image

make docker-image

Run Docker image

To run the docker image as a development environment (i.e. interactive session with your local code mounted in the image) just run:

make docker

Developing locally

Make sure you have the required Java RE for the Spark version you want to run properly setup for Spark use.

Install pipenv and run:

pipenv sync --dev
pipenv shell

How to use it

Dependencies

pipenv

Run tests

make tests

Run examples

The examples are a set of scripts located in examples folder that create different data frames. With the run.py script you can run the examples and generate an output HTML from them.

In order to run the examples you can execute the following command:

python ./run.py [example_name] --output out.html

Working with the UI

The visual part of the package is developed in React (see spark-board-ui). If want to update the visualization, follow the steps in the README and then create a new commit replacing the compiled ui files by the new ones.