https://github.com/nonsignificantp/airflow

A vanilla airflow v1.10.10 image based on apache/airflow ready to be used out of the box. A fast alternative to start prototyping and developing DAGs.
https://github.com/nonsignificantp/airflow

Last synced: 1 day ago
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A vanilla airflow v1.10.10 image based on apache/airflow ready to be used out of the box. A fast alternative to start prototyping and developing DAGs.

• Host: GitHub
• URL: https://github.com/nonsignificantp/airflow
• Owner: nonsignificantp
• Created: 2021-07-14T01:58:00.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-07-15T01:21:53.000Z (over 3 years ago)
• Last Synced: 2024-11-09T09:44:10.328Z (about 2 months ago)
• Language: Makefile
• Homepage:
• Size: 1.95 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Apache Airflow

## Getting started

### Installing

Pull directly from the github container registry on this repo by typing on the terminal:

```{bash}

docker pull ghcr.io/nonsignificantp/airflow:latest

```

### Use

### Docker run

Run the `docker run` command to create a container

```{bash}

docker run -it --rm -p 8080:8080 -v ${PWD}/dags:/opt/airflow/dags ghcr.io/nonsignificantp/airflow:latest

```

Create a port mapping on port 8080 to access Airflow's webserver by going to [http://localhost:8080/](http://localhost:8080/) on your browser. Export DAGs definition from your working environment by binding a volumne pointing to `/opt/airflow/dags` inside the container.

Optionally `-e AIRFLOW__WEBSERVER__EXPOSE_CONFIG=True` to expose airflow configurations and `-e AIRFLOW__SCHEDULER__DAG_DIR_LIST_INTERVAL=10` to reload DAG registry every 10 seconds.

```{bash}

docker run -it --rm \

    -p 8080:8080 \

    -v ${PWD}/dags:/opt/airflow/dags \

    -e AIRFLOW__SCHEDULER__DAG_DIR_LIST_INTERVAL=10 \

    -e AIRFLOW__WEBSERVER__EXPOSE_CONFIG=True \

    ghcr.io/nonsignificantp/airflow:latest

```

### Docker Compose

Add `nonsignificantp/airflow:latest` as a service on your `docker-compose.yml` file in the following way:

```{bash}

version: "3"

services:

    airflow:

        image: ghcr.io/nonsignificantp/airflow:latest

        ports:

            - 8080:8080

        volumnes:

            - ${PWD}/dags:/opt/airflow/dags

        environment: 

            AIRFLOW__SCHEDULER__DAG_DIR_LIST_INTERVAL: "10"

            AIRFLOW__WEBSERVER__EXPOSE_CONFIG: "True"

```