If all of the test results are good, then the next CodeBuild project is launched to publish the code to an Amazon Simple Storage Service (Amazon S3) bucket.The following stage is build and test, in which the most recent code from the previous phase is unit tested and the test report is published to CodeBuild report groups.It uses the CodeCommit repository as the source and transfers the most recent code from the main branch to the CodeBuild project for further processing.The pipeline performs the following operations: As illustrated in the following, use the copied image URL from Amazon ECR public to create and test a CodeBuild project. The aws-glue-jobs-unit-testing GitHub repository contains a CloudFormation template, pipeline.yml, which deploys a CodePipeline with CodeBuild projects to create, test, and publish the AWS Glue job. To utilize this container image as a runtime image in CodeBuild, copy the Image URI corresponding to the image tag that you intend to use, as shown in the following image. To demonstrate the solution, we use the image tag glue_libs_3.0.0_image_01 in this post.
The public container repository has three image tags, one for each AWS Glue version supported by AWS Glue. The container image at the Public ECR repository for AWS Glue libraries includes all of the binaries required to run PySpark-based AWS Glue ETL tasks locally, as well as unit test them. This feature is used to build a project utilizing Glue libraries from Public ECR repository, that can run the code package to demonstrate unit testing integration.ĪWS CodePipeline, AWS CodeCommit, AWS CodeBuild, Amazon Elastic Container Registry (Amazon ECR) Public Repositories, AWS CloudFormation As a runtime environment, AWS CodeBuild utilizes custom container images. An AWS CloudFormation template written in YAML is included in the deploy folder. Its associated unit test cases built using the Pytest Framework are accessible in the tests folder. The GitHub repository aws-glue-jobs-unit-testing has a sample Python-based Glue job in the src folder.
Etl processes amazon job how to#
This solution describes how to incorporate the unit testing of Python-based AWS Glue ETL processes into the AWS DevOps Pipeline. AWS Glue provides both visual and code-based interfaces to make data integration easier.Ī typical enterprise-scale DevOps pipeline is illustrated in the following diagram. This means that you can start analyzing your data and putting it to use in minutes rather than months. AWS Glue provides all of the capabilities needed for data integration.
One of the difficulties in building Python-based Glue ETL tasks is their ability for unit testing to be incorporated within DevOps Pipeline, especially when there are modernization of mainframe ETL process to modern tech stacks in AWSĪWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning (ML), and application development.
Etl processes amazon job software#
Unit testing of code provides a mechanism to determine that software quality hasn’t been compromised.
Unit testing an application code is a fundamental task that evaluates whether each (unit) code written by a programmer functions as expected. The majority of the regression test suites are expected to be integrated with the DevOps Pipeline for its execution. One must reuse these scripts during regression testing to make sure that all of the existing functionality is intact, and that new releases don’t disrupt key application functionality. Unit test scripts are one of the initial quality gates used by developers to provide a high-quality build. Although a local development environment may be set up to build and unit test Python-based Glue jobs, by following the documentation, replicating the same procedure in a DevOps pipeline is difficult and time consuming. In the current practice, several options exist for unit testing Python scripts for Glue jobs in a local environment. This post is intended to assist users in understanding and replicating a method to unit test Python-based ETL Glue Jobs, using the PyTest Framework in AWS CodePipeline.
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