mozilla
/
bigquery-etl
зеркало из https://github.com/mozilla/bigquery-etl.git
1
0
Форкнуть 0
Код Задачи Пакеты Проекты Релизы Вики Активность
Bigquery ETL
5 491 коммит 309 Ветки 1 228 Теги 218 MiB
Python 94.9%
Shell 2.4%
Jinja 1.8%
JavaScript 0.7%
Перейти к файлу
Alekhya 53ebe05a13
Revert "RS-788 Add support for organic searches with ads to the mobile search…" (#5676) 
This reverts commit 9814059423.
 		2024-05-29 19:29:45 -04:00
.circleci Fix PyPI package publishing in CI (#5669) 2024-05-28 14:03:06 -07:00
.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 [DENG-3905] Support queries with temp udfs when billing project is set (#5668) 2024-05-29 10:50:07 -04:00
docs DENG-3851 Updated managed backfill docs with slack channel for notifcations (#5630) 2024-05-21 12:36:14 -07:00
script GLAM fix replace_dataset to account for already fully qualified datasets in query (#5517) 2024-05-07 18:52:30 -04:00
sql Revert "RS-788 Add support for organic searches with ads to the mobile search…" (#5676) 2024-05-29 19:29:45 -04:00
sql_generators fix: metadata.yaml generation change to allow backfill command execution (#5671) 2024-05-29 11:46:39 -05:00
tests Revert "RS-788 Add support for organic searches with ads to the mobile search…" (#5676) 2024-05-29 19:29:45 -04:00
.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 Exclude ETL `query.py` files from mypy pre-commit checks. (#5519) 2024-05-08 14:09:19 +02:00
.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 feat(): Upgrade BQETL Python to 3.11 and pre-commit hooks (#5195) 2024-03-14 14:25:30 +01:00
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 Fix PyPI package publishing in CI (#5669) 2024-05-28 14:03:06 -07:00
bqetl Update grpcio to a version that provides darwin arm64 builds (#3819) 2023-05-22 12:08:49 -07:00
bqetl_project.yaml [DENG-3417] Get event pings from probe info for monitoring events (#5576) 2024-05-16 13:06:31 -07:00
conftest.py Remove java dependency in favor of sqlglot (#3755) 2023-05-17 14:56:42 -07:00
dags.yaml Deng 3763 increase schedule frequency (#5590) 2024-05-29 13:25:50 -07:00
pyproject.toml Fix PyPI package publishing in CI (#5669) 2024-05-28 14:03:06 -07:00
pytest.ini Remove java dependency in favor of sqlglot (#3755) 2023-05-17 14:56:42 -07:00
requirements.in Bump types-python-dateutil from 2.8.19.20240311 to 2.9.0.20240316 (#5221) 2024-03-18 08:52:11 -07:00
requirements.txt --- (#5623) 2024-05-21 08:33:31 -07:00

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 3.11+ - (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 (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. Run gcloud auth login --update-adc to authenticate against GCP.
  • 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.

Releasing a new version of bqetl

To push a new version of bqetl to PyPI, update the version in pyproject.toml. The version numbers follow the CalVer scheme, with the Micro version numbers starting at 1. For example, for the first package version getting published in March 2024, the version would be 2024.3.1.