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bigquery-etl
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Bigquery ETL
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Frank Bertsch 2d407f7e93
GROWTH-101 - Update gclid_conversions view to 1-row per conversion (#4612) 
* Update gclid_conversions view to 1-row per conversion

* Fully qualify table
 		2024-02-12 14:16:59 -08:00
.circleci Stop using data-eng-circleci-tests context in CI (#4884) 2024-02-08 21:35:55 +00:00
.github Set dependabot reviewers to wg team (#4382) 2023-10-05 12:16:43 -07:00
.vscode Add Visual Studio Code debug configuration for current Python file. (#3457) 2022-12-13 13:07:27 -08:00
bigquery_etl GROWTH-101 - Update gclid_conversions view to 1-row per conversion (#4612) 2024-02-12 14:16:59 -08:00
docs Remove referenced_tables usages (#4834) 2024-01-22 12:41:05 -08:00
script Issue 4135: Added publish metadata cli command (#5011) 2024-02-12 11:12:14 -08:00
sql GROWTH-101 - Update gclid_conversions view to 1-row per conversion (#4612) 2024-02-12 14:16:59 -08:00
sql_generators Revert "Restrict derived view schema generation to views with upstream schema…" (#4941) 2024-02-01 12:08:51 -05:00
tests GROWTH-101 - Update gclid_conversions view to 1-row per conversion (#4612) 2024-02-12 14:16:59 -08:00
.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
.isort.cfg Automatically sort python imports (#1840) 2021-02-24 17:11:52 -05:00
.pre-commit-config.yaml Update pre-commit plugins to match `requirements.txt`. (#3737) 2023-04-26 08:31:48 -07:00
.yamllint.yaml Increase yamllint max line length (#3469) 2022-12-16 12:23:32 -08:00
CODEOWNERS Fix typo in `CODEOWNERS` path for `search_derived.search_revenue_levers_daily_v1`. (#4837) 2024-01-16 15:05:42 -08:00
CODE_OF_CONDUCT.md Create CODE_OF_CONDUCT.md (#50) 2019-03-30 10:01:54 -07:00
CONTRIBUTING.md Add CODEOWNERS and restricted access datasets documentation (#2524) 2021-12-21 20:25:05 +00:00
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
bqetl_project.yaml Deng 2579 gclid conversions v2 creation (#4972) 2024-02-07 14:03:32 -08:00
conftest.py Remove java dependency in favor of sqlglot (#3755) 2023-05-17 14:56:42 -07:00
dags.yaml Add ETLs and views for Google Search Console data (DENG-1733) (#4892) 2024-02-07 12:53:32 -08:00
pyproject.toml Package bqetl and publish to PyPI (#4917) 2024-02-05 09:04:04 -08:00
pytest.ini Remove java dependency in favor of sqlglot (#3755) 2023-05-17 14:56:42 -07:00
requirements.in Bump jsonschema from 4.19.2 to 4.21.1 (#5013) 2024-02-12 09:45:12 +01:00
requirements.txt Bump grpcio from 1.54.2 to 1.54.3 (#5012) 2024-02-12 11:12:23 +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.