How to unit test and deploy Amazon Glue jobs using Amazon CodePipeline

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{"value":"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](https://aws.amazon.com/codepipeline/). In the current practice, several options exist for unit testing Python scripts for Glue jobs in a local environment. Although a local development environment may be set up to build and unit test Python-based Glue jobs, by following the [documentation](https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-libraries.html), replicating the same procedure in a DevOps pipeline is difficult and time consuming.\n\nUnit test scripts are one of the initial quality gates used by developers to provide a high-quality build. 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. The majority of the regression test suites are expected to be integrated with the DevOps Pipeline for its execution. Unit testing an application code is a fundamental task that evaluates whether each (unit) code written by a programmer functions as expected. Unit testing of code provides a mechanism to determine that software quality hasn’t been compromised. 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 AWS\n\n[AWS Glue](https://aws.amazon.com/glue/?whats-new-cards.sort-by=item.additionalFields.postDateTime&whats-new-cards.sort-order=desc) is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning (ML), and application development. AWS Glue provides all of the capabilities needed for data integration. This means that you can start analyzing your data and putting it to use in minutes rather than months. AWS Glue provides both visual and code-based interfaces to make data integration easier.\n\n**Prerequisites**\n\n[GitHub Repository](https://github.com/aws-samples/aws-glue-jobs-unit-testing)\n\nAmazon [ECR Image URI for Glue Library](https://gallery.ecr.aws/glue/aws-glue-libs)\n\n**Solution overview**\n\nA typical enterprise-scale DevOps pipeline is illustrated in the following diagram. This solution describes how to incorporate the unit testing of Python-based AWS Glue ETL processes into the AWS DevOps Pipeline.\n\n![image.png](https://dev-media.amazoncloud.cn/fb3d3bbdc09640c0bc7c85373506ceea_image.png)\n\nThe GitHub repository [aws-glue-jobs-unit-testing](https://github.com/aws-samples/aws-glue-jobs-unit-testing) has a sample Python-based Glue job in the ```src``` folder. Its associated unit test cases built using the Pytest Framework are accessible in the```tests``` folder. An [AWS CloudFormation](https://aws.amazon.com/cloudformation/) template written in YAML is included in the ```deploy``` folder. As a runtime environment, [AWS CodeBuild](https://aws.amazon.com/codebuild/) utilizes custom container images. This feature is used to build a project utilizing [Glue libraries from Public ECR repository](https://gallery.ecr.aws/glue/aws-glue-libs), that can run the code package to demonstrate unit testing integration.\n\n**Solution walkthrough**\n\n**Time to read** 7 min\n**Time to complete** 15-20 min\n**Learning level** 300\n**Services used**\n\nAWS CodePipeline, [AWS CodeCommit](https://aws.amazon.com/codecommit/), AWS CodeBuild, [Amazon Elastic Container Registry (Amazon ECR)](https://aws.amazon.com/ecr/) Public Repositories, AWS CloudFormation\n\nThe container image at the Public ECR repository for AWS Glue libraries includes all of the binaries required to run [PySpark-based](https://spark.apache.org/docs/latest/api/python/) AWS Glue ETL tasks locally, as well as unit test them. The public container repository has three image tags, one for each AWS Glue version supported by AWS Glue. To demonstrate the solution, we use the image tag ```glue_libs_3.0.0_image_01``` in this post. 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.\n\n![image.png](https://dev-media.amazoncloud.cn/df1c761cddbf4e96953baafed35bd3cf_image.png)\n\nThe [aws-glue-jobs-unit-testing](https://github.com/aws-samples/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. As illustrated in the following, use the copied image URL from Amazon ECR public to create and test a CodeBuild project.\n\n```\nYAML\nTestBuild:\n Type: AWS::CodeBuild::Project\n Properties:\n Artifacts:\n Type: CODEPIPELINE\n BadgeEnabled: false\n Environment:\n ComputeType: BUILD_GENERAL1_LARGE\n Image: \"public.ecr.aws/glue/aws-glue-libs:glue_libs_3.0.0_image_01\"\n ImagePullCredentialsType: CODEBUILD\n PrivilegedMode: false\n Type: LINUX_CONTAINER\n Name: !Sub \"${RepositoryName}-${BranchName}-build\"\n ServiceRole: !GetAtt CodeBuildRole.Arn\n```\n \nThe pipeline performs the following operations:\n\n1. 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.\n2. 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.\n3. 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)](https://aws.amazon.com/s3/) bucket.\n4. Following the successful completion of the publish phase, the final step is to deploy the AWS Glue task using the CloudFormation template in the ```deploy``` folder.\n\n##### **Deploying the solution**\n\n**Set up**\n\nNow we’ll deploy the solution using a [CloudFormation](https://aws.amazon.com/cloudformation/) template.\n\n- Using the GitHub Web, download the [code.zip](https://github.com/aws-samples/aws-glue-jobs-unit-testing/raw/main/code.zip) file from the [aws-glue-jobs-unit-testing](https://github.com/aws-samples/aws-glue-jobs-unit-testing) repository. This zip file contains the GitHub repository’s src, tests, and deploy folders. You may also create the zip file yourself using command-line tools, such as git and zip. To create the zip file on Linux or Mac, open the terminal and enter the following commands.\n\n```\nBash\ngit clone https://github.com/aws-samples/aws-glue-jobs-unit-testing.git\ncd aws-glue-jobs-unit-testing\ngit checkout master\nzip -r code.zip src/ tests/ deploy/\n```\n\n- Sign in to the [AWS Management Console](https://aws.amazon.com/console/) and choose the AWS Region of your choice.\n- Create an Amazon S3 bucket. For more information, see [How Do I Create an S3 Bucket?](https://docs.aws.amazon.com/AmazonS3/latest/userguide/create-bucket-overview.html) in the AWS documentation.\n- Upload the downloaded zip package, code.zip, to the Amazon S3 bucket that you created.\n\nIn this example, I created an Amazon S3 bucket named aws-glue-artifacts-us-east-1 in the N. Virginia (us-east-1) Region, and used the console to upload the zip package from the GitHub repository to the Amazon S3 bucket.\n\n![image.png](https://dev-media.amazoncloud.cn/e67bde6fb1e4436a86ab278adb32660d_image.png)\n\n**Creating the stack**\n\n1. In the [CloudFormation console](https://signin.aws.amazon.com/signin?redirect_uri=https%3A%2F%2Fus-east-1.console.aws.amazon.com%2Fcloudformation%2Fhome%3Fregion%3Dus-east-1%26skipRegion%3Dtrue%26state%3DhashArgs%2523%26isauthcode%3Dtrue&client_id=arn%3Aaws%3Aiam%3A%3A015428540659%3Auser%2Fcloudformation&forceMobileApp=0&code_challenge=um-jHgzg5SlgBWkjoNXVow9DExVJimF2QRP_mWCH4os&code_challenge_method=SHA-256), choose **Create stack**.\n2. On the **Specify template** page, choose **Upload a template file**, and then choose the **pipeline.yml** template, downloaded from the GitHub repository\n\n![image.png](https://dev-media.amazoncloud.cn/fa2c395f231244bb857a8aafe2e84c80_image.png)\n\n3.Specify the following parameters:.\n\n- **Stack name:** glue-unit-testing-pipeline (Choose a stack name of your choice)\n- **ApplicationStackName: **glue-codepipeline-app (This is the name of the CloudFormation stack that will be created by the pipeline)\n- **BranchName:** master (This is the name of the branch to be created in the CodeCommit repository to check-in the code from the Amazon S3 bucket zip file)\n- **BucketName:** aws-glue-artifacts-us-east-1 (This is the name of the Amazon S3 bucket that contains the zip file. This bucket will also be used by the pipeline for storing code artifacts)\n- **CodeZipFile:** lambda.zip (This is the key name of the sample code Amazon S3 object. The object should be a zip file)\n- **RepositoryName:** aws-glue-unit-testing (This is the name of the CodeCommit repository that will be created by the stack)\n- **TestReportGroupName:** glue-unittest-report (This is the name of the CodeBuild test report group that will be created to store the unit test reports)\n\n![image.png](https://dev-media.amazoncloud.cn/dd0f7cc4cc504c19a30eeed25fb67277_image.png)\n\n4.Choose **Next**, and again **Next**.\n\n5.On the **Review** page, under **Capabilities**, choose the following options:\n\n- I acknowledge that CloudFormation might create IAM resources with custom names.\n\n![image.png](https://dev-media.amazoncloud.cn/e76c0316ce054e7481bf15e9215a31bc_image.png)\n\n6.Choose **Create stack** to begin the stack creation process. Once the stack creation is complete, the resources that were created are displayed on the **Resources** tab. The stack creation takes approximately 5-7 minutes.\n\n![image.png](https://dev-media.amazoncloud.cn/e3889c3c42da4aed948fe946a5d60fe5_image.png)\n\nThe stack automatically creates a CodeCommit repository with the initial code checked-in from the zip file uploaded to the Amazon S3 bucket. Furthermore, it creates a CodePipeline view using the CodeCommit repository as the source. In the above example, the CodeCommit repository is aws-glue-unit-test, and the pipeline is aws-glue-unit-test-pipeline.\n\n**Testing the solution**\n\nTo test the deployed pipeline, open the [CodePipeline console](https://signin.aws.amazon.com/signin?redirect_uri=https%3A%2F%2Fus-east-1.console.aws.amazon.com%2Fcodesuite%2Fcodepipeline%2Fhome%3Fregion%3Dus-east-1%26skipRegion%3Dtrue%26state%3DhashArgs%2523%26isauthcode%3Dtrue&client_id=arn%3Aaws%3Aiam%3A%3A015428540659%3Auser%2Fcodesuite&forceMobileApp=0&code_challenge=kNU6Ro4zpn77A_8kqkg2qwkr3eFHKSF2vIMVPAPpSHY&code_challenge_method=SHA-256) and select the pipeline created by the CloudFormation stack. Select the **Release Change** button on the pipeline page.\n\n![image.png](https://dev-media.amazoncloud.cn/025e1a18b9354e00b2fabb45b04f7c8f_image.png)\n\nThe pipeline begins its execution with the most recent code in the CodeCommit repository.\n\nWhen the **Test_and_Build** phase is finished, select the **Details** link to examine the execution logs.\n\n![image.png](https://dev-media.amazoncloud.cn/e9a47dbed7a345268ae2b319dd3f253f_image.png)\n\nSelect the **Reports** tab, and choose the test report from **Report history** to view the unit execution results.\n\n![image.png](https://dev-media.amazoncloud.cn/6493a88574954af8b2d88b6e21332bc6_image.png)\n\nFinally, after the deployment stage is complete, you can see, run, and monitor the deployed AWS Glue job on the AWS Glue console page. For more information, refer to the [Running and monitoring AWS Glue](https://docs.aws.amazon.com/glue/latest/dg/monitor-glue.html) documentation\n\n![image.png](https://dev-media.amazoncloud.cn/d15641bd76a54c6a943d4c7b706d8230_image.png)\n\n**Cleanup**\n\nTo avoid additional infrastructure costs, make sure that you delete the stack after experimenting with the examples provided in the post. On the CloudFormation console, select the stack that you created, and then choose **Delete**. This will delete all of the resources that it created, including CodeCommit repositories, IAM roles/policies, and CodeBuild projects.\n\n**Summary**\n\nIn this post, we demonstrated how to unit test and deploy Python-based AWS Glue jobs in a pipeline with unit tests written with the PyTest framework. The approach is not limited to CodePipeline, and it can be used to build up a local development environment, as demonstrated in the [Big Data blog](https://aws.amazon.com/blogs/big-data/developing-aws-glue-etl-jobs-locally-using-a-container/). The [aws-glue-jobs-unit-testing](https://github.com/aws-samples/aws-glue-jobs-unit-testing) GitHub repository contains the example’s CloudFormation template, as well as sample AWS Glue Python code and Pytest code used in this post. If you have any questions or comments regarding this example, please open an issue or submit a pull request.\n\n**Authors:**\n\n![image.png](https://dev-media.amazoncloud.cn/e19abe3272a0435eb6d8759b03e8fe3e_image.png)\n\n##### **Praveen Kumar Jeyarajan**\nPraveen Kumar Jeyarajan is a PraveenKumar is a Senior DevOps Consultant in AWS supporting Enterprise customers and their journey to the cloud. He has 11+ years of DevOps experience and is skilled in solving myriad technical challenges using the latest technologies. He holds a Masters degree in Software Engineering. Outside of work, he enjoys watching movies and playing tennis.\n\n![a5c446761eeb44c4afae0ff6040c31d0_image1.png](1)\n\n##### **Vaidyanathan Ganesa Sankaran**\nVaidyanathan Ganesa Sankaran is a Sr Modernization Architect at AWS supporting Global Enterprise customers on their journey towards modernization. He is specialized in Artificial intelligence, legacy Modernization and Cloud Computing. He holds a Masters degree in Software Engineering and has 12+ years of Modernization experience. Outside work, he loves conducting training sessions for college grads and professional starter who wants to learn cloud and AI. His hobbies are playing tennis, philately and traveling.","render":"<p>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 <a href=\"https://aws.amazon.com/codepipeline/\" target=\"_blank\">AWS CodePipeline</a>. In the current practice, several options exist for unit testing Python scripts for Glue jobs in a local environment. Although a local development environment may be set up to build and unit test Python-based Glue jobs, by following the <a href=\"https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-libraries.html\" target=\"_blank\">documentation</a>, replicating the same procedure in a DevOps pipeline is difficult and time consuming.</p>\n<p>Unit test scripts are one of the initial quality gates used by developers to provide a high-quality build. 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. The majority of the regression test suites are expected to be integrated with the DevOps Pipeline for its execution. Unit testing an application code is a fundamental task that evaluates whether each (unit) code written by a programmer functions as expected. Unit testing of code provides a mechanism to determine that software quality hasn’t been compromised. 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 AWS</p>\n<p><a href=\"https://aws.amazon.com/glue/?whats-new-cards.sort-by=item.additionalFields.postDateTime&amp;whats-new-cards.sort-order=desc\" target=\"_blank\">AWS Glue</a> is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning (ML), and application development. AWS Glue provides all of the capabilities needed for data integration. This means that you can start analyzing your data and putting it to use in minutes rather than months. AWS Glue provides both visual and code-based interfaces to make data integration easier.</p>\n<p><strong>Prerequisites</strong></p>\n<p><a href=\"https://github.com/aws-samples/aws-glue-jobs-unit-testing\" target=\"_blank\">GitHub Repository</a></p>\n<p>Amazon <a href=\"https://gallery.ecr.aws/glue/aws-glue-libs\" target=\"_blank\">ECR Image URI for Glue Library</a></p>\n<p><strong>Solution overview</strong></p>\n<p>A typical enterprise-scale DevOps pipeline is illustrated in the following diagram. This solution describes how to incorporate the unit testing of Python-based AWS Glue ETL processes into the AWS DevOps Pipeline.</p>\n<p><img src=\"https://dev-media.amazoncloud.cn/fb3d3bbdc09640c0bc7c85373506ceea_image.png\" alt=\"image.png\" /></p>\n<p>The GitHub repository <a href=\"https://github.com/aws-samples/aws-glue-jobs-unit-testing\" target=\"_blank\">aws-glue-jobs-unit-testing</a> has a sample Python-based Glue job in the <code>src</code> folder. Its associated unit test cases built using the Pytest Framework are accessible in the<code>tests</code> folder. An <a href=\"https://aws.amazon.com/cloudformation/\" target=\"_blank\">AWS CloudFormation</a> template written in YAML is included in the <code>deploy</code> folder. As a runtime environment, <a href=\"https://aws.amazon.com/codebuild/\" target=\"_blank\">AWS CodeBuild</a> utilizes custom container images. This feature is used to build a project utilizing <a href=\"https://gallery.ecr.aws/glue/aws-glue-libs\" target=\"_blank\">Glue libraries from Public ECR repository</a>, that can run the code package to demonstrate unit testing integration.</p>\n<p><strong>Solution walkthrough</strong></p>\n<p><strong>Time to read</strong> 7 min<br />\n<strong>Time to complete</strong> 15-20 min<br />\n<strong>Learning level</strong> 300<br />\n<strong>Services used</strong></p>\n<p>AWS CodePipeline, <a href=\"https://aws.amazon.com/codecommit/\" target=\"_blank\">AWS CodeCommit</a>, AWS CodeBuild, <a href=\"https://aws.amazon.com/ecr/\" target=\"_blank\">Amazon Elastic Container Registry (Amazon ECR)</a> Public Repositories, AWS CloudFormation</p>\n<p>The container image at the Public ECR repository for AWS Glue libraries includes all of the binaries required to run <a href=\"https://spark.apache.org/docs/latest/api/python/\" target=\"_blank\">PySpark-based</a> AWS Glue ETL tasks locally, as well as unit test them. The public container repository has three image tags, one for each AWS Glue version supported by AWS Glue. To demonstrate the solution, we use the image tag <code>glue_libs_3.0.0_image_01</code> in this post. 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.</p>\n<p><img src=\"https://dev-media.amazoncloud.cn/df1c761cddbf4e96953baafed35bd3cf_image.png\" alt=\"image.png\" /></p>\n<p>The <a href=\"https://github.com/aws-samples/aws-glue-jobs-unit-testing\" target=\"_blank\">aws-glue-jobs-unit-testing</a> GitHub repository contains a CloudFormation template, <code>pipeline.yml</code>, which deploys a CodePipeline with CodeBuild projects to create, test, and publish the AWS Glue job. As illustrated in the following, use the copied image URL from Amazon ECR public to create and test a CodeBuild project.</p>\n<pre><code class=\"lang-\">YAML\nTestBuild:\n Type: AWS::CodeBuild::Project\n Properties:\n Artifacts:\n Type: CODEPIPELINE\n BadgeEnabled: false\n Environment:\n ComputeType: BUILD_GENERAL1_LARGE\n Image: &quot;public.ecr.aws/glue/aws-glue-libs:glue_libs_3.0.0_image_01&quot;\n ImagePullCredentialsType: CODEBUILD\n PrivilegedMode: false\n Type: LINUX_CONTAINER\n Name: !Sub &quot;${RepositoryName}-${BranchName}-build&quot;\n ServiceRole: !GetAtt CodeBuildRole.Arn\n</code></pre>\n<p>The pipeline performs the following operations:</p>\n<ol>\n<li>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.</li>\n<li>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.</li>\n<li>If all of the test results are good, then the next CodeBuild project is launched to publish the code to an <a href=\"https://aws.amazon.com/s3/\" target=\"_blank\">Amazon Simple Storage Service (Amazon S3)</a> bucket.</li>\n<li>Following the successful completion of the publish phase, the final step is to deploy the AWS Glue task using the CloudFormation template in the <code>deploy</code> folder.</li>\n</ol>\n<h5><a id=\"Deploying_the_solution_60\"></a><strong>Deploying the solution</strong></h5>\n<p><strong>Set up</strong></p>\n<p>Now we’ll deploy the solution using a <a href=\"https://aws.amazon.com/cloudformation/\" target=\"_blank\">CloudFormation</a> template.</p>\n<ul>\n<li>Using the GitHub Web, download the <a href=\"https://github.com/aws-samples/aws-glue-jobs-unit-testing/raw/main/code.zip\" target=\"_blank\">code.zip</a> file from the <a href=\"https://github.com/aws-samples/aws-glue-jobs-unit-testing\" target=\"_blank\">aws-glue-jobs-unit-testing</a> repository. This zip file contains the GitHub repository’s src, tests, and deploy folders. You may also create the zip file yourself using command-line tools, such as git and zip. To create the zip file on Linux or Mac, open the terminal and enter the following commands.</li>\n</ul>\n<pre><code class=\"lang-\">Bash\ngit clone https://github.com/aws-samples/aws-glue-jobs-unit-testing.git\ncd aws-glue-jobs-unit-testing\ngit checkout master\nzip -r code.zip src/ tests/ deploy/\n</code></pre>\n<ul>\n<li>Sign in to the <a href=\"https://aws.amazon.com/console/\" target=\"_blank\">AWS Management Console</a> and choose the AWS Region of your choice.</li>\n<li>Create an Amazon S3 bucket. For more information, see <a href=\"https://docs.aws.amazon.com/AmazonS3/latest/userguide/create-bucket-overview.html\" target=\"_blank\">How Do I Create an S3 Bucket?</a> in the AWS documentation.</li>\n<li>Upload the downloaded zip package, code.zip, to the Amazon S3 bucket that you created.</li>\n</ul>\n<p>In this example, I created an Amazon S3 bucket named aws-glue-artifacts-us-east-1 in the N. Virginia (us-east-1) Region, and used the console to upload the zip package from the GitHub repository to the Amazon S3 bucket.</p>\n<p><img src=\"https://dev-media.amazoncloud.cn/e67bde6fb1e4436a86ab278adb32660d_image.png\" alt=\"image.png\" /></p>\n<p><strong>Creating the stack</strong></p>\n<ol>\n<li>In the <a href=\"https://signin.aws.amazon.com/signin?redirect_uri=https%3A%2F%2Fus-east-1.console.aws.amazon.com%2Fcloudformation%2Fhome%3Fregion%3Dus-east-1%26skipRegion%3Dtrue%26state%3DhashArgs%2523%26isauthcode%3Dtrue&amp;client_id=arn%3Aaws%3Aiam%3A%3A015428540659%3Auser%2Fcloudformation&amp;forceMobileApp=0&amp;code_challenge=um-jHgzg5SlgBWkjoNXVow9DExVJimF2QRP_mWCH4os&amp;code_challenge_method=SHA-256\" target=\"_blank\">CloudFormation console</a>, choose <strong>Create stack</strong>.</li>\n<li>On the <strong>Specify template</strong> page, choose <strong>Upload a template file</strong>, and then choose the <strong>pipeline.yml</strong> template, downloaded from the GitHub repository</li>\n</ol>\n<p><img src=\"https://dev-media.amazoncloud.cn/fa2c395f231244bb857a8aafe2e84c80_image.png\" alt=\"image.png\" /></p>\n<p>3.Specify the following parameters:.</p>\n<ul>\n<li><strong>Stack name:</strong> glue-unit-testing-pipeline (Choose a stack name of your choice)</li>\n<li>**ApplicationStackName: **glue-codepipeline-app (This is the name of the CloudFormation stack that will be created by the pipeline)</li>\n<li><strong>BranchName:</strong> master (This is the name of the branch to be created in the CodeCommit repository to check-in the code from the Amazon S3 bucket zip file)</li>\n<li><strong>BucketName:</strong> aws-glue-artifacts-us-east-1 (This is the name of the Amazon S3 bucket that contains the zip file. This bucket will also be used by the pipeline for storing code artifacts)</li>\n<li><strong>CodeZipFile:</strong> lambda.zip (This is the key name of the sample code Amazon S3 object. The object should be a zip file)</li>\n<li><strong>RepositoryName:</strong> aws-glue-unit-testing (This is the name of the CodeCommit repository that will be created by the stack)</li>\n<li><strong>TestReportGroupName:</strong> glue-unittest-report (This is the name of the CodeBuild test report group that will be created to store the unit test reports)</li>\n</ul>\n<p><img src=\"https://dev-media.amazoncloud.cn/dd0f7cc4cc504c19a30eeed25fb67277_image.png\" alt=\"image.png\" /></p>\n<p>4.Choose <strong>Next</strong>, and again <strong>Next</strong>.</p>\n<p>5.On the <strong>Review</strong> page, under <strong>Capabilities</strong>, choose the following options:</p>\n<ul>\n<li>I acknowledge that CloudFormation might create IAM resources with custom names.</li>\n</ul>\n<p><img src=\"https://dev-media.amazoncloud.cn/e76c0316ce054e7481bf15e9215a31bc_image.png\" alt=\"image.png\" /></p>\n<p>6.Choose <strong>Create stack</strong> to begin the stack creation process. Once the stack creation is complete, the resources that were created are displayed on the <strong>Resources</strong> tab. The stack creation takes approximately 5-7 minutes.</p>\n<p><img src=\"https://dev-media.amazoncloud.cn/e3889c3c42da4aed948fe946a5d60fe5_image.png\" alt=\"image.png\" /></p>\n<p>The stack automatically creates a CodeCommit repository with the initial code checked-in from the zip file uploaded to the Amazon S3 bucket. Furthermore, it creates a CodePipeline view using the CodeCommit repository as the source. In the above example, the CodeCommit repository is aws-glue-unit-test, and the pipeline is aws-glue-unit-test-pipeline.</p>\n<p><strong>Testing the solution</strong></p>\n<p>To test the deployed pipeline, open the <a href=\"https://signin.aws.amazon.com/signin?redirect_uri=https%3A%2F%2Fus-east-1.console.aws.amazon.com%2Fcodesuite%2Fcodepipeline%2Fhome%3Fregion%3Dus-east-1%26skipRegion%3Dtrue%26state%3DhashArgs%2523%26isauthcode%3Dtrue&amp;client_id=arn%3Aaws%3Aiam%3A%3A015428540659%3Auser%2Fcodesuite&amp;forceMobileApp=0&amp;code_challenge=kNU6Ro4zpn77A_8kqkg2qwkr3eFHKSF2vIMVPAPpSHY&amp;code_challenge_method=SHA-256\" target=\"_blank\">CodePipeline console</a> and select the pipeline created by the CloudFormation stack. Select the <strong>Release Change</strong> button on the pipeline page.</p>\n<p><img src=\"https://dev-media.amazoncloud.cn/025e1a18b9354e00b2fabb45b04f7c8f_image.png\" alt=\"image.png\" /></p>\n<p>The pipeline begins its execution with the most recent code in the CodeCommit repository.</p>\n<p>When the <strong>Test_and_Build</strong> phase is finished, select the <strong>Details</strong> link to examine the execution logs.</p>\n<p><img src=\"https://dev-media.amazoncloud.cn/e9a47dbed7a345268ae2b319dd3f253f_image.png\" alt=\"image.png\" /></p>\n<p>Select the <strong>Reports</strong> tab, and choose the test report from <strong>Report history</strong> to view the unit execution results.</p>\n<p><img src=\"https://dev-media.amazoncloud.cn/6493a88574954af8b2d88b6e21332bc6_image.png\" alt=\"image.png\" /></p>\n<p>Finally, after the deployment stage is complete, you can see, run, and monitor the deployed AWS Glue job on the AWS Glue console page. For more information, refer to the <a href=\"https://docs.aws.amazon.com/glue/latest/dg/monitor-glue.html\" target=\"_blank\">Running and monitoring AWS Glue</a> documentation</p>\n<p><img src=\"https://dev-media.amazoncloud.cn/d15641bd76a54c6a943d4c7b706d8230_image.png\" alt=\"image.png\" /></p>\n<p><strong>Cleanup</strong></p>\n<p>To avoid additional infrastructure costs, make sure that you delete the stack after experimenting with the examples provided in the post. On the CloudFormation console, select the stack that you created, and then choose <strong>Delete</strong>. This will delete all of the resources that it created, including CodeCommit repositories, IAM roles/policies, and CodeBuild projects.</p>\n<p><strong>Summary</strong></p>\n<p>In this post, we demonstrated how to unit test and deploy Python-based AWS Glue jobs in a pipeline with unit tests written with the PyTest framework. The approach is not limited to CodePipeline, and it can be used to build up a local development environment, as demonstrated in the <a href=\"https://aws.amazon.com/blogs/big-data/developing-aws-glue-etl-jobs-locally-using-a-container/\" target=\"_blank\">Big Data blog</a>. The <a href=\"https://github.com/aws-samples/aws-glue-jobs-unit-testing\" target=\"_blank\">aws-glue-jobs-unit-testing</a> GitHub repository contains the example’s CloudFormation template, as well as sample AWS Glue Python code and Pytest code used in this post. If you have any questions or comments regarding this example, please open an issue or submit a pull request.</p>\n<p><strong>Authors:</strong></p>\n<p><img src=\"https://dev-media.amazoncloud.cn/e19abe3272a0435eb6d8759b03e8fe3e_image.png\" alt=\"image.png\" /></p>\n<h5><a id=\"Praveen_Kumar_Jeyarajan_149\"></a><strong>Praveen Kumar Jeyarajan</strong></h5>\n<p>Praveen Kumar Jeyarajan is a PraveenKumar is a Senior DevOps Consultant in AWS supporting Enterprise customers and their journey to the cloud. He has 11+ years of DevOps experience and is skilled in solving myriad technical challenges using the latest technologies. He holds a Masters degree in Software Engineering. Outside of work, he enjoys watching movies and playing tennis.</p>\n<p><img src=\"data:image/png;base64,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\" alt=\"a5c446761eeb44c4afae0ff6040c31d0_image1.png\" rel=\"1\" /></p>\n<h5><a id=\"Vaidyanathan_Ganesa_Sankaran_154\"></a><strong>Vaidyanathan Ganesa Sankaran</strong></h5>\n<p>Vaidyanathan Ganesa Sankaran is a Sr Modernization Architect at AWS supporting Global Enterprise customers on their journey towards modernization. He is specialized in Artificial intelligence, legacy Modernization and Cloud Computing. He holds a Masters degree in Software Engineering and has 12+ years of Modernization experience. Outside work, he loves conducting training sessions for college grads and professional starter who wants to learn cloud and AI. His hobbies are playing tennis, philately and traveling.</p>\n"}
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亚马逊云科技解决方案 基于行业客户应用场景及技术领域的解决方案
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亚马逊云科技解决方案
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