das42 / lookermeetuppresentation

python notebook used for our presentation at the Denver Looker Meetup

Looker Cache Resetting Presentation

This is the code for the interactive demonstration of Looker cache resetting during the Denver Looker meetup on 5/2/2017.

The main event is the jupyter notebook that contains the example code. There are a couple of prerequisites in order to get the notebook to run:

Setup

To run this notebook you will need a few things:

1. Python, 2.7 or later (I only tested on python3 but should work with 2.7 as well)
2. A swagger-generated Looker API Python SDK. You can read a great tutorial here
3. I strongly recommend setting up a virtualenv. You can read more here
4. The pyYAML package and the jupyter package, both installable with pip.

Once your environment is set up, fire up a jupyter session with jupyter notebook and select the notebook in the browser.

Note: Before running the code you will need to create a YAML config file called config.yml with the following structure:

connection:
  id: <your API id>
  secret: <your API key>
  endpoint: https://<your-looker-host-name>:19999/api/3.0/

This file should be placed in the same directory as the python notebook.

Use

Feel free to modify the code to match your particular Looker test environment. Hope it inspires some good Looker API hacking!

Additional help and info

For more information on getting started with the Looker API, please read their intro documentation here