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Bigquery ETL
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Lucia 84ee88e2b9
Dependabot/pip/black 24.1.1 fix (#5027) 
* Bump black from 23.10.1 to 24.1.1

Bumps [black](https://github.com/psf/black) from 23.10.1 to 24.1.1.
- [Release notes](https://github.com/psf/black/releases)
- [Changelog](https://github.com/psf/black/blob/main/CHANGES.md)
- [Commits](https://github.com/psf/black/compare/23.10.1...24.1.1)

---
updated-dependencies:
- dependency-name: black
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>

* Reformat files with black to fix dependabot update.

* Reformat with black 24.1.1. Update test dag with required space.

* Update test dags.

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
 		2024-02-19 15:27:34 +01:00
.circleci Revert "Path Filtering in CI (#4939)" 2024-02-15 16:34:37 +01:00
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.vscode Add Visual Studio Code debug configuration for current Python file. (#3457) 2022-12-13 13:07:27 -08:00
bigquery_etl Dependabot/pip/black 24.1.1 fix (#5027) 2024-02-19 15:27:34 +01:00
docs Support waiting for tables/partitions to exist before running ETLs (#5039) 2024-02-15 14:38:52 -08:00
script Dependabot/pip/black 24.1.1 fix (#5027) 2024-02-19 15:27:34 +01:00
sql Dependabot/pip/black 24.1.1 fix (#5027) 2024-02-19 15:27:34 +01:00
sql_generators Dependabot/pip/black 24.1.1 fix (#5027) 2024-02-19 15:27:34 +01:00
tests Dependabot/pip/black 24.1.1 fix (#5027) 2024-02-19 15:27:34 +01:00
.bigqueryrc Create ~/.bigqueryrc without GCLOUD_SERVICE_KEY (#112) 2019-05-01 13:38:31 -07:00
.dockerignore Use zetasql to get dependencies for dag generation (#1817) 2021-02-18 17:49:46 -05:00
.eslintrc.yml Ran YAMLlint on all yaml files and resolved linting issues (fixes #1297) (#1481) 2020-10-29 17:24:55 -07:00
.flake8 Add and incrementally populate a table for google ads campaign cost metrics (#3468) 2023-01-11 15:58:10 -06:00
.gitignore feat(): Adding ETL for monitoring_airflow datasets (#3204) 2022-10-12 10:57:24 +01:00
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Dockerfile Remove ZetaSQL kludges. (#3898) 2023-06-05 18:03:07 +00:00
GRAVEYARD.md Remove asn_aggregates ETL (#2580) 2021-12-15 18:28:29 +00:00
LICENSE Add MPL license (#2353) 2021-09-20 17:59:47 +00:00
README.md remove M1 mac setup since it is no longer needed (#4787) 2024-01-09 15:27:56 +01:00
bqetl Update grpcio to a version that provides darwin arm64 builds (#3819) 2023-05-22 12:08:49 -07:00
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dags.yaml DENG-2095 Create users_services_daily table for accounts_backend (#4906) 2024-02-19 09:07:32 +01:00
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requirements.in Dependabot/pip/black 24.1.1 fix (#5027) 2024-02-19 15:27:34 +01:00
requirements.txt Dependabot/pip/black 24.1.1 fix (#5027) 2024-02-19 15:27:34 +01:00

README.md

CircleCI

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

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 3.10+ - (see this guide for instructions if you're on a mac and haven't installed anything other than the default system Python).

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
  1. Install the bqetl command line tool
./bqetl bootstrap
  1. Install standard pre-commit hooks
venv/bin/pre-commit install

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
cp .vscode/launch.json.default .vscode/launch.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.