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apache-airflow
Here are 144 public repositories matching this topic...
Curated list of resources about Apache Airflow
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Oct 8, 2020 - Shell
A series of DAGs/Workflows to help maintain the operation of Airflow
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Aug 7, 2020 - Python
An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.
python
airflow
spark
apache-spark
scheduler
s3
data-engineering
data-lake
warehouse
redshift
data-migration
livy
etl-framework
apache-airflow
emr-cluster
etl-pipeline
etl-job
data-engineering-pipeline
airflow-dag
goodreads-data-pipeline
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Mar 9, 2020 - Python
terrytangyuan
commented
Oct 12, 2020
Warning from GitHub Actions:
The
add-pathcommand is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2020-10-01-github-actions-deprecating-set-env-and-add-path-commands/
We need to upgrade to use environment files for GitHub Actions going forward.
Dynamically generate Apache Airflow DAGs from YAML configuration files
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Oct 14, 2020 - Python
Helm Charts for the Astronomer Platform, Apache Airflow as a Service on Kubernetes
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Oct 16, 2020 - Shell
A plugin for Apache Airflow that exposes rest end points for the Command Line Interfaces
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Jul 15, 2020 - Python
barney-s
commented
Aug 9, 2018
Currently the env variables injected are specific to this docker image https://github.com/barney-s/docker-airflow
Align it with https://github.com/puckel/docker-airflow and make necessary changes in the operator to make it work with both.
related to GoogleCloudPlatform/airflow-operator#10
Example DAGs using hooks and operators from Airflow Plugins
airflow
mongodb
etl
google-analytics
imap
selenium
sftp
mailgun
salesforce
facebook-ads
dbt
hubspot
dag
marketo
singer
apache-airflow
marketo-sdk
airflow-plugins
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Jul 24, 2018 - Python
A web frontend for scheduling Jupyter notebook reports
docker
kubernetes
airflow
jupyter
notebook
jupyter-notebook
nteract
luigi
celery
jupyterlab
dask
jupyter-notebooks
phosphorjs
apache-airflow
papermill
scheduling-notebooks
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Feb 28, 2020 - Python
A process that runs in unison with Apache Airflow to control the Scheduler process to ensure High Availability
airflow
high-availability
scheduler-failover-controller
apache-airflow
airflow-scheduler
airflow-cluster
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Sep 22, 2020 - Python
A Helm chart to install Apache Airflow on Kubernetes
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Oct 15, 2020 - Shell
CLI that makes it easy to create, test and deploy Airflow DAGs to Astronomer
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Oct 14, 2020 - Go
Terraform module to deploy an Apache Airflow cluster on AWS, backed by RDS PostgreSQL for metadata, S3 for logs and SQS as message broker with CeleryExecutor
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Aug 1, 2020 - HCL
A plugin for Apache Airflow that allows you to edit DAGs in browser
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Oct 8, 2020 - JavaScript
Ansible role to install Apache Airflow
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Oct 16, 2020 - Python
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Jan 6, 2020 - Python
Basic tutorial of using Apache Airflow
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Sep 25, 2018 - Python
Using Apache Airflow to schedule web scrapers
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Oct 3, 2018 - Python
Export Airflow metrics (from mysql) in prometheus format
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Mar 6, 2019 - Go
Plugin offering views, operators, sensors, and more developed at Pandora Media.
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May 3, 2018 - Python
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Jun 10, 2020 - Python
Terraform module for a PostgreSQL-backed Apache Airflow instance
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May 16, 2018 - HCL
A complete development environment setup for working with Airflow
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Sep 15, 2020 - Python
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Description
Currently to view DAG run in graph view you must first know it's execution date and then choose it from the drop list.
This is annoying in some cases because you might want to see the big picture in Tree view and then "zoom in" to graph view for a specific run. Currently there is no direct way to do this.
I suggest the following:
Go to tree view and click on a dag run.