As part of his work on the Marketing Platform Team, he builds and maintains infrastructures across our architecture. You can do it in the AWS Management Console or via the AWS CLI.Īdd a library of your choice and run the following to upload requirements.Ben Ryves is a Staff Software Engineer based in our Zurich office. To make these changes take effect, you must upload requirements.txt to an Amazon S3 bucket and update the Amazon MWAA environment with a new file version. Install preferred Python dependencies to an Amazon MWAA environment by updating requirememnts.txt. You can also open the Airflow UI from the AWS Management Console and try to run example_dag, which prints the numpy array.Īlso, you can navigate to CodeArtifact to verify that the numpy package is fetched and available in the repository. Navigate to Monitoring and open the Airflow scheduler log group.įrom the scheduler logs, we can observe that it connected to the CodeArtifact repository with the authorization token to download and install numpy. We will now inspect Airflow scheduler logs to confirm that it connected to the CodeArtifact repository to install numpy. index-url to Amazon MWAA in the AWS Management Console and open the mwaa_codeartifact_env environment that we provisioned. To get started, clone the GitHub repository to a local machine: AWS Cloud Development Kit (AWS CDK) version 1.102.0.You can deploy this solution from a local machine. This means that we can use a private repository for both in-house and public open source libraries. This architecture does not require Amazon MWAA to have access to public internet to fetch libraries from PyPi, so we don’t need to provision a pair of NAT gateways in our VPC. During initial infrastructure provisioning, Lambda is invoked via AWS CloudFormation custom resource. We use an AWS Lambda function to obtain a new authorization token and update the index-url, and trigger it to run every 10 hours using Amazon CloudWatch Events. Because the CodeArtifact authorization token is valid for a maximum of 12 hours, we need a way to refresh the token automatically. To connect to CodeArtifact, index-url is constructed with the repository URL and authorization token. This repository is configured to have an external connection to public PyPi repository, which enables collecting open source packages. It connects to an AWS CodeArtifact private repository to install required Python packages. Amazon MWAA fetches directed acyclic graphs (DAGs) and a requirements file from an Amazon Simple Storage Service (Amazon S3) bucket. In this example solution, Amazon MWAA has no internet access and uses VPC endpoints to communicate with other AWS services. Solution overviewĪmazon MWAA is deployed to private subnets across two Availability Zones. We focus on Amazon MWAA, but the same approach can be applied to self-hosted Apache Airflow on AWS. In this post, we demonstrate how to use a CodeArtifact repository with Apache Airflow. With CodeArtifact, making a connection to public repository, such as PyPi, to consume open source libraries is also possible. AWS CodeArtifact is a fully managed software artifact repository service that makes securely storing, publishing, and sharing packages easier. Apache Airflow is written in Python, letting developers use its rich ecosystem of libraries or even write their own.ĭevelopment teams creating in-house libraries hosted in private repositories is common. In 2020, Amazon Web Services (AWS) released Amazon Managed Workflows for Apache Airflow (Amazon MWAA), which lets engineers focus on business solutions rather than on running and maintaining infrastructure for Airflow. Many organizations rely on Apache Airflow, an open source project, to orchestrate their data pipelines. This post was written by Dzenan Softic and Sam Dengler.
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