BigQuery ETL

This repository contains Mozilla Data Team's:

• Derived ETL jobs that do not require a custom container
• User-defined functions (UDFs)
• Airflow DAGs for scheduled bigquery-etl queries
• Tools for query & UDF deployment, management and scheduling

For more information, see https://mozilla.github.io/bigquery-etl/

Quick Start

Apple Silicon (M1) user requirement

Enable Rosetta mode for your terminal BEFORE installing below tools using your terminal. It'll save you a lot of headaches. For tips on maintaining parallel stacks of python and homebrew running with and without Rosetta, see blog posts from Thinknum and Sixty North.

Pre-requisites

• Pyenv (optional) Recommended if you want to install different versions of python, see instructions here. After the installation of pyenv, make sure that your terminal app is configured to run the shell as a login shell.
• Homebrew (not required, but useful for Mac) - Follow the instructions here to install homebrew on your Mac.
• Python 3.8+ - (see this guide for instructions if you're on a mac and haven't installed anything other than the default system Python).
• Java JDK 8+ - (required for some functionality, e.g. AdoptOpenJDK) with $JAVA_HOME set.
• Maven - (needed for downloading jar dependencies). Available via your package manager in most Linux distributions and from homebrew on mac, or you can install yourself by downloading a binary and following maven's install instructions.

GCP CLI tools

• For Mozilla Employees or Contributors (not in Data Engineering) - Set up GCP command line tools, as described on docs.telemetry.mozilla.org. Note that some functionality (e.g. writing UDFs or backfilling queries) may not be allowed.
• For Data Engineering - In addition to setting up the command line tools, you will want to log in to shared-prod if making changes to production systems. Run gcloud auth login --update-adc --project=moz-fx-data-shared-prod (if you have not run it previously).

Installing bqetl

1. Clone the repository

git clone git@github.com:mozilla/bigquery-etl.git
cd bigquery-etl

2. Install the bqetl command line tool

./bqetl bootstrap

3. Install standard pre-commit hooks

venv/bin/pre-commit install

4. Build and install java dependencies

mvn package
# specify `<(echo mozilla-bigquery-etl)` to retain bqetl from `./bqetl bootstrap`
venv/bin/pip-sync --pip-args=--no-deps requirements.txt <(echo mozilla-bigquery-etl)

Finally, if you are using Visual Studio Code, you may also wish to use our recommended defaults:

cp .vscode/settings.json.default .vscode/settings.json

And you should now be set up to start working in the repo! The easiest way to do this is for many tasks is to use bqetl. You may also want to read up on common workflows.