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I am struggling to get airbyte running on docker e...
# replication-ask-ai
k
I am struggling to get airbyte running on docker even with fresh installs. Can you write me a docker compose file and .env all configured for the last most stable and reliable version
k
To get Airbyte running on Docker with a fresh install, you can follow the steps below. This includes setting up the 
docker-compose.yaml
and 
.env
files for the latest stable version. ### Step-by-Step Instructions 1. Clone the Airbyte Repository:
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bash    git clone --depth=1 <https://github.com/airbytehq/airbyte.git>    cd airbyte
2. Create the 
.env
File: Create a file named 
.env
in the 
airbyte
directory with the following content. Make sure to replace 
your_new_username_here
and 
your_new_password_here
with your desired credentials:
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env    # Proxy Configuration      # Set to empty values, e.g. "" to disable basic auth      BASIC_AUTH_USERNAME=your_new_username_here      BASIC_AUTH_PASSWORD=your_new_password_here
3. Run the Airbyte Platform Script: Use the provided script to set up and run Airbyte:
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bash    ./run-ab-platform.sh
### Accessing Airbyte - In your browser, visit [http://localhost:8000](http://localhost:8000). - You will be asked for a username and password. By default, that's the username and password you set in the 
.env
file. ### Additional Configuration If you need to upgrade Airbyte or reset configurations, you can follow the instructions provided in the [Upgrading Airbyte](https://docs.airbyte.com/operator-guides/upgrading-airbyte#upgrading-on-docker) documentation. ### Troubleshooting If you encounter issues, ensure that: - Docker Engine and Docker Compose V2 are installed. - You have the latest version of the Airbyte repository. For more detailed instructions, you can refer to the [Deploying Airbyte with Docker Compose](https://docs.airbyte.com/deploying-airbyte/docker-compose) documentation. If you continue to face issues, please provide specific error messages or logs, and I can assist you further.
k
@kapa.ai write the docker compose content
k
Based on the provided knowledge sources, here is an example of a 
docker-compose.yaml
file that integrates Airbyte with Airflow. This setup includes the necessary configurations to support Airbyte within the Airflow Docker image.
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yaml version: '3.8'  services:   airflow:     image: ${AIRFLOW_IMAGE_NAME:-apache/airflow:2.5.1}     build:       context: .     environment:       - AIRFLOW_UID=50000     volumes:       - ./dags:/opt/airflow/dags       - ./logs:/opt/airflow/logs       - ./plugins:/opt/airflow/plugins       - /tmp/airbyte_local:/tmp/airbyte_local     ports:       - "8080:8080"     command: webserver     healthcheck:       test: ["CMD", "curl", "--fail", "<http://localhost:8080/health>"]       interval: 30s       retries: 3       start_period: 30s       timeout: 10s    airflow-init:     image: ${AIRFLOW_IMAGE_NAME:-apache/airflow:2.5.1}     build:       context: .     environment:       - AIRFLOW_UID=50000     volumes:       - ./dags:/opt/airflow/dags       - ./logs:/opt/airflow/logs       - ./plugins:/opt/airflow/plugins       - /tmp/airbyte_local:/tmp/airbyte_local     entrypoint: /bin/bash     command:       - -c       - |         airflow db init         airflow users create \           --username admin \           --firstname Peter \           --lastname Parker \           --role Admin \           --email <mailto:admin@example.com|admin@example.com> \           --password admin    scheduler:     image: ${AIRFLOW_IMAGE_NAME:-apache/airflow:2.5.1}     build:       context: .     environment:       - AIRFLOW_UID=50000     volumes:       - ./dags:/opt/airflow/dags       - ./logs:/opt/airflow/logs       - ./plugins:/opt/airflow/plugins       - /tmp/airbyte_local:/tmp/airbyte_local     command: scheduler     depends_on:       - airflow-init    worker:     image: ${AIRFLOW_IMAGE_NAME:-apache/airflow:2.5.1}     build:       context: .     environment:       - AIRFLOW_UID=50000     volumes:       - ./dags:/opt/airflow/dags       - ./logs:/opt/airflow/logs       - ./plugins:/opt/airflow/plugins       - /tmp/airbyte_local:/tmp/airbyte_local     command: worker     depends_on:       - airflow-init  volumes:   airflow_logs:
### Steps to Set Up 1. Download the Docker Compose File for Airflow:
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sh    curl -LfO '<https://airflow.apache.org/docs/apache-airflow/2.5.1/docker-compose.yaml>'
2. Create Required Sub-Directories and Assign Airflow UID:
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sh    mkdir -p ./dags ./logs ./plugins    echo -e "AIRFLOW_UID=$(id -u)" > .env
3. Create a Dockerfile in Your Airflow Folder: ```Dockerfile FROM ${AIRFLOW_IMAGE_NAME apache/airflow2.5.1} USER airflow RUN pip install apache-airflow-providers-airbyte[
A message from kapa.ai
Based on the provided knowledge sources, here is the content for a 
docker-compose.yaml
file that integrates Airbyte with Airflow. This setup includes the necessary configurations to support Airbyte within the Airflow Docker image.
Copy code
yaml version: '3.8'  services:   airflow:     image: ${AIRFLOW_IMAGE_NAME:-apache/airflow:2.5.1}     build:       context: .     environment:       - AIRFLOW_UID=50000     volumes:       - ./dags:/opt/airflow/dags       - ./logs:/opt/airflow/logs       - ./plugins:/opt/airflow/plugins       - /tmp/airbyte_local:/tmp/airbyte_local     ports:       - "8080:8080"     command: webserver     healthcheck:       test: ["CMD", "curl", "--fail", "<http://localhost:8080/health>"]       interval: 30s       retries: 3       start_period: 30s       timeout: 10s    airflow-init:     image: ${AIRFLOW_IMAGE_NAME:-apache/airflow:2.5.1}     build:       context: .     environment:       - AIRFLOW_UID=50000     volumes:       - ./dags:/opt/airflow/dags       - ./logs:/opt/airflow/logs       - ./plugins:/opt/airflow/plugins       - /tmp/airbyte_local:/tmp/airbyte_local     entrypoint: /bin/bash     command:       - -c       - |         airflow db init         airflow users create \           --username admin \           --firstname Peter \           --lastname Parker \           --role Admin \           --email <mailto:admin@example.com|admin@example.com> \           --password admin    scheduler:     image: ${AIRFLOW_IMAGE_NAME:-apache/airflow:2.5.1}     build:       context: .     environment:       - AIRFLOW_UID=50000     volumes:       - ./dags:/opt/airflow/dags       - ./logs:/opt/airflow/logs       - ./plugins:/opt/airflow/plugins       - /tmp/airbyte_local:/tmp/airbyte_local     command: scheduler     depends_on:       - airflow-init    worker:     image: ${AIRFLOW_IMAGE_NAME:-apache/airflow:2.5.1}     build:       context: .     environment:       - AIRFLOW_UID=50000     volumes:       - ./dags:/opt/airflow/dags       - ./logs:/opt/airflow/logs       - ./plugins:/opt/airflow/plugins       - /tmp/airbyte_local:/tmp/airbyte_local     command: worker     depends_on:       - airflow-init  volumes:   airflow_logs:
### Steps to Set Up 1. Download the Docker Compose File for Airflow:
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sh    curl -LfO '<https://airflow.apache.org/docs/apache-airflow/2.5.1/docker-compose.yaml>'
2. Create Required Sub-Directories and Assign Airflow UID:
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sh    mkdir -p ./dags ./logs ./plugins    echo -e "AIRFLOW_UID=$(id -u)" > .env
3. Create a Dockerfile in Your Airflow Folder: ```Dockerfile FROM ${AIRFLOW_IMAGE_NAME apache/airflow2.5.1} USER airflow RUN pip install apache-airflow-providers-airbyte[
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