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Repo"}},"flexible_column_cont":{"id":"flexible-column-container-f9a25582b2","propertiesId":"quickstart-template-main-flexible-container","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-e7e54204db",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"contentfragment":{"id":"contentfragment-c36e696441","paragraphs":["<!-- ------------------------ -->\n","\u003Ch2\u003EOverview\u003C/h2\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/devops-dcm-terraform-github/devops_dcm_terraform_github-1.png\" alt=\"assets/devops_dcm_terraform_github-1.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThis quickstart will provide step-by-step instructions for how to build a simple CI/CD pipeline for Snowflake with GitHub Actions and Terraform. My hope is that this will provide you with enough details to get you started on your DevOps journey with Snowflake, GitHub Actions, and Terraform.\u003C/p\u003E\n","\u003Cp\u003EDevOps is concerned with automating the development, release and maintenance of software applications. As such, DevOps is very broad and covers the entire Software Development Life Cycle (SDLC). The landscape of software tools used to manage the entire SDLC is complex since there are many different required capabilities/tools, including:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ERequirements management\u003C/li\u003E\u003Cli\u003EProject management (Waterfall, Agile/Scrum)\u003C/li\u003E\u003Cli\u003ESource code management (Version Control)\u003C/li\u003E\u003Cli\u003EBuild management (CI/CD)\u003C/li\u003E\u003Cli\u003ETest management (CI/CD)\u003C/li\u003E\u003Cli\u003ERelease management (CI/CD)\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EThis quickstart will focus primarily on automated release management for Snowflake by leveraging the GitHub Actions service from GitHub for the CI/CD and Terraform for the Database Change Management. Database Change Management (DCM) refers to a set of processes and tools which are used to manage the objects within a database. It’s beyond the scope of this quickstart to provide details around the challenges with and approaches to automating the management of your database objects. If you’re interested in more details, please see my blog post \u003Ca href=\"/blog/embracing-agile-software-delivery-and-devops-with-snowflake/\"\u003EEmbracing Agile Software Delivery and DevOps with Snowflake\u003C/a\u003E.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ETip\u003C/strong\u003E - For a more complete introduction to using Terraform with Snowflake, please check out our related quickstart \u003Ca href=\"/en/developers/guides/terraforming-snowflake/\"\u003ETerraforming Snowflake\u003C/a\u003E.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003ELet’s begin with a brief overview of GitHub and Terraform.\u003C/p\u003E\n","\u003Ch3\u003EPrerequisites\u003C/h3\u003E\n","\u003Cp\u003EThis quickstart assumes that you have a basic working knowledge of Git repositories.\u003C/p\u003E\n","\u003Ch3\u003EWhat You'll Learn\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EA brief history and overview of GitHub Actions\u003C/li\u003E\u003Cli\u003EA brief history and overview of Terraform and Terraform Cloud\u003C/li\u003E\u003Cli\u003EHow database change management tools like Terraform work\u003C/li\u003E\u003Cli\u003EHow a simple release pipeline works\u003C/li\u003E\u003Cli\u003EHow to create CI/CD pipelines in GitHub Actions\u003C/li\u003E\u003Cli\u003EIdeas for more advanced CI/CD pipelines with stages\u003C/li\u003E\u003Cli\u003EHow to get started with branching strategies\u003C/li\u003E\u003Cli\u003EHow to get started with testing strategies\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You'll Need\u003C/h3\u003E\n","\u003Cp\u003EYou will need the following things before beginning:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003ESnowflake\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EA Snowflake Account.\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EA Snowflake User created with appropriate permissions.\u003C/strong\u003E This user will need permission to create databases.\u003C/li\u003E\u003Cli\u003EGitHub\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EA GitHub Account.\u003C/strong\u003E If you don’t already have a GitHub account you can create one for free. Visit the \u003Ca href=\"https://github.com/join\"\u003EJoin GitHub\u003C/a\u003E page to get started.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EA GitHub Repository.\u003C/strong\u003E If you don't already have a repository created, or would like to create a new one, then \u003Ca href=\"https://github.com/new\"\u003ECreate a new respository\u003C/a\u003E. For the type, select \u003Ccode\u003EPublic\u003C/code\u003E (although you could use either). And you can skip adding the README, .gitignore and license for now.\u003C/li\u003E\u003Cli\u003ETerraform Cloud\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EA Terraform Cloud Account.\u003C/strong\u003E If you don't already have a Terraform Cloud account you can create on for free. Visit the \u003Ca href=\"https://app.terraform.io/signup/account\"\u003ECreate an account\u003C/a\u003E page to get started.\u003C/li\u003E\u003Cli\u003EIntegrated Development Environment (IDE)\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EYour favorite IDE with Git integration.\u003C/strong\u003E If you don’t already have a favorite IDE that integrates with Git I would recommend the great, free, open-source \u003Ca href=\"https://code.visualstudio.com/\"\u003EVisual Studio Code\u003C/a\u003E.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EYour project repository cloned to your computer.\u003C/strong\u003E For connection details about your Git repository, open the Repository and copy the \u003Ccode\u003EHTTPS\u003C/code\u003E link provided near the top of the page. If you have at least one file in your repository then click on the green \u003Ccode\u003ECode\u003C/code\u003E icon near the top of the page and copy the \u003Ccode\u003EHTTPS\u003C/code\u003E link. Use that link in VS Code or your favorite IDE to clone the repo to your computer.\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EWhat You'll Build\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EA simple, working release pipeline for Snowflake in GitHub Actions using Terraform\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EGitHub Overview\u003C/h2\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/devops-dcm-terraform-github/devops_dcm_terraform_github-2.png\" alt=\"assets/devops_dcm_terraform_github-2.png\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EGitHub\u003C/h3\u003E\n","\u003Cp\u003EGitHub provides a complete, end-to-end set of software development tools to manage the SDLC. In particular GitHub provides the following services (from GitHub's \u003Ca href=\"https://github.com/features\"\u003EFeatures\u003C/a\u003E):\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ECollaborative Coding\u003C/li\u003E\u003Cli\u003EAutomation & CI/CD\u003C/li\u003E\u003Cli\u003ESecurity\u003C/li\u003E\u003Cli\u003EClient Apps\u003C/li\u003E\u003Cli\u003EProject Management\u003C/li\u003E\u003Cli\u003ETeam Administration\u003C/li\u003E\u003Cli\u003ECommunity\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/devops-dcm-terraform-github/devops_dcm_terraform_github-3.png\" alt=\"assets/devops_dcm_terraform_github-3.png\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EGitHub Actions\u003C/h3\u003E\n","\u003Cp\u003E"GitHub Actions makes it easy to automate all your software workflows, now with world-class CI/CD. Build, test, and deploy your code right from GitHub. Make code reviews, branch management, and issue triaging work the way you want" (from GitHub’s \u003Ca href=\"https://github.com/features/actions\"\u003EGitHub Actions\u003C/a\u003E). GitHub Actions was \u003Ca href=\"https://github.blog/2018-10-16-future-of-software/\"\u003Efirst announced in October 2018\u003C/a\u003E and has since become a popular CI/CD tool. To learn more about GitHub Actions, including migrating from other popular CI/CD tools to GitHub Actions check out \u003Ca href=\"https://docs.github.com/en/actions/learn-github-actions\"\u003ELearn GitHub Actions\u003C/a\u003E.\u003C/p\u003E\n","\u003Cp\u003EThis quickstart will be focused on the GitHub Actions service.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ETerraform Overview\u003C/h2\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/devops-dcm-terraform-github/devops_dcm_terraform_github-4.png\" alt=\"assets/devops_dcm_terraform_github-4.png\"\u003E\u003C/p\u003E\n","\u003Ch3\u003ETerraform\u003C/h3\u003E\n","\u003Cp\u003E\u003Ca href=\"https://www.terraform.io/\"\u003ETerraform\u003C/a\u003E is an open-source Infrastructure as Code (IaC) tool created by \u003Ca href=\"https://www.hashicorp.com/\"\u003EHashiCorp\u003C/a\u003E that "allows you to build, change, and version infrastructure safely and efficiently. This includes low-level components such as compute instances, storage, and networking, as well as high-level components such as DNS entries, SaaS features, etc. Terraform can manage both existing service providers and custom in-house solutions." (from \u003Ca href=\"https://www.terraform.io/intro/index.html\"\u003EIntroduction to Terraform\u003C/a\u003E). With Terraform the primary way to describe your infrastructure is by creating human-readble, declarative configuration files using the high-level configuration language known as \u003Ca href=\"https://www.terraform.io/docs/language/index.html\"\u003EHashiCorp Configuration Language (HCL)\u003C/a\u003E.\u003C/p\u003E\n","\u003Ch3\u003EChan Zuckerberg Provider\u003C/h3\u003E\n","\u003Cp\u003EWhile Terraform began as an IaC tool it has expanded and taken on many additional use cases (some listed above). Terraform can be extended to support these different uses cases and systems through a \u003Ca href=\"https://registry.terraform.io/browse/providers\"\u003ETerraform Provider\u003C/a\u003E. There is no official, first-party Terraform-managed Provider for Snowflake, but the \u003Ca href=\"https://chanzuckerberg.com/\"\u003EChan Zuckerberg Initiative (CZI)\u003C/a\u003E has created a popular \u003Ca href=\"https://registry.terraform.io/providers/chanzuckerberg/snowflake/latest\"\u003ETerraform Provider for Snowflake\u003C/a\u003E.\u003C/p\u003E\n","\u003Cp\u003EPlease note that this CZI Provider for Snowflake is a community-developed Provider, not an official Snowflake offering. It comes with no support or warranty.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EREALLY IMPORTANT\u003C/strong\u003E - \u003Cstrong\u003EDo not use this provider to manage your Snowflake tables.\u003C/strong\u003E Currently the CZI Snowflake Provider drops and re-creates a table each time you make changes to it. So when using Terraform with Snowflake use it to create/manage the account level objects (warehouses, roles, integrations, databases, schemas, etc.) and then use a separate DCM tool for most objects within the database schema (tables, views, stored procedures, etc.).\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EState Files\u003C/h3\u003E\n","\u003Cp\u003EAnother really important thing to understand about Terraform is how it tracks the state of the resources/objects being managed. Many declarative style tools like this will do a real-time comparison between the objects defined in code and the deployed objects and then figure out what changes are required. But Terraform does not operate in this manner, instead it maintains a State file which keeps track of things. See Terraform's overview of \u003Ca href=\"https://www.terraform.io/docs/language/state/index.html\"\u003EState\u003C/a\u003E and in particular their discussion of why they chose to require a State file in \u003Ca href=\"https://www.terraform.io/docs/language/state/purpose.html\"\u003EPurpose of Terraform State\u003C/a\u003E.\u003C/p\u003E\n","\u003Cp\u003EState files in Terraform introduce a few challenges, the most significant is that the State file can get out of sync with the actual deployed objects. This will happen if you use a different process/tool than Terraform to update any deployed object (including making manual changes to a deployed object). The State file can also get out of sync (or corrupted) when multiple developers/process are trying to access it at the same time. See Terraform's \u003Ca href=\"https://www.terraform.io/docs/language/state/remote.html\"\u003ERemote State\u003C/a\u003E page for recommended solutions, including Terraform Cloud which will be discussed next.\u003C/p\u003E\n","\u003Ch3\u003ETerraform Cloud\u003C/h3\u003E\n","\u003Cp\u003E"Terraform Cloud is HashiCorp’s managed service offering that eliminates the need for unnecessary tooling and documentation to use Terraform in production. Provision infrastructure securely and reliably in the cloud with free remote state storage. As you scale, add workspaces for better collaboration with your team." (from \u003Ca href=\"https://www.terraform.io/cloud\"\u003EWhy Terraform Cloud?\u003C/a\u003E)\u003C/p\u003E\n","\u003Cp\u003ESome of the key features include (from \u003Ca href=\"https://www.terraform.io/cloud\"\u003EWhy Terraform Cloud?\u003C/a\u003E):\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003ERemote state storage\u003C/strong\u003E: Store your Terraform state file securely with encryption at rest. Track infrastructure changes over time, and restrict access to certain teams within your organization.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EFlexible Workflows\u003C/strong\u003E: Run Terraform the way your team prefers. Execute runs from the CLI or a UI, your version control system, or integrate them into your existing workflows with an API.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EVersion Control (VCS) integration\u003C/strong\u003E: Use version control to store and collaborate on Terraform configurations. Terraform Cloud can automate a run as soon as a pull request is merged into a main branch.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ECollaborate on infrastructure changes\u003C/strong\u003E: Facilitate collaboration on your team. Review and comment on plans prior to executing any change to infrastructure.\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ESetup and Configure Terraform Cloud\u003C/h2\u003E\n","\u003Cp\u003EAs discussed in the Overview section, you will need to have a Terraform Cloud Account for this quickstart. If you don't already have a Terraform Cloud account you can create on for free. Visit the \u003Ca href=\"https://app.terraform.io/signup/account\"\u003ECreate an account\u003C/a\u003E page to get started. After you create your account you'll be asked to provide an organization name.\u003C/p\u003E\n","\u003Cp\u003EBegin by \u003Ca href=\"https://app.terraform.io/\"\u003Elogging in to your Terraform Cloud account\u003C/a\u003E. Please note your organization name, we'll need it later. If you've forgotten, you can find your organization name in the top navigation bar and in the URL.\u003C/p\u003E\n","\u003Ch3\u003ECreate a new Workspace\u003C/h3\u003E\n","\u003Cp\u003EFrom the Workspaces page click on the "+ New workspace" button near the top right of the page. On the first page, where it asks you to choose the type of workflow, select "API-driven workflow".\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/devops-dcm-terraform-github/devops_dcm_terraform_github-5.png\" alt=\"assets/devops_dcm_terraform_github-5.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003EOn the second page, where it asks for the "Workspace Name" enter \u003Ccode\u003Egh-actions-demo\u003C/code\u003E and then click the "Create workspace" button at the bottom of the page.\u003C/p\u003E\n","\u003Ch3\u003ESetup Environment Variables\u003C/h3\u003E\n","\u003Cp\u003EIn order for Terraform Cloud to be able to connect to your Snowflake account you'll need to store the settings in Environment variables. Fortunately, Terraform Cloud makes this easy. From your new workspace homepage click on the "Variables" tab. Then for each variable listed below click on "+ Add variable" button (under the "Environment Variables" section) and enter the name given below along with the appropriate value (adjusting as appropriate).\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EVariable key\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EVariable value\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ESensitive?\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESNOWFLAKE_ACCOUNT\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Exy12345\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ENo\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESNOWFLAKE_REGION\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Eeast-us-2.azure\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ENo\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESNOWFLAKE_USER\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDEMO_USER\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ENo\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESNOWFLAKE_PASSWORD\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E*****\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EYes\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ETip\u003C/strong\u003E - For more details on the supported arguments please check out the \u003Ca href=\"https://registry.terraform.io/providers/chanzuckerberg/snowflake/latest/docs\"\u003ECZI Terraform Provider for Snowflake documentation\u003C/a\u003E.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003EWhen you’re finished adding all the secrets, the page should look like this:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/devops-dcm-terraform-github/devops_dcm_terraform_github-6.png\" alt=\"assets/devops_dcm_terraform_github-6.png\"\u003E\u003C/p\u003E\n","\u003Ch3\u003ECreate an API Token\u003C/h3\u003E\n","\u003Cp\u003EThe final thing we need to do in Terraform Cloud is to create an API Token so that GitHub Actions can securely authenticate with Terraform Cloud. Click on your user icon near the top right of the screen and then click on "User settings". Then in the left navigation bar click on the user settings page click on the "Tokens" tab.\u003C/p\u003E\n","\u003Cp\u003EClick on the "Create an API token" button, give your token a "Description" (like \u003Ccode\u003EGitHub Actions\u003C/code\u003E) and then click on the "Create API token" button. Pay careful attention on the next screen. You need to save the API token because once you click on the "Done" button the token \u003Cstrong\u003Ewill not be displayed again\u003C/strong\u003E. Once you've saved the token, click the "Done" button.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ECreate the Actions Workflow\u003C/h2\u003E\n","\u003Ch3\u003ECreate Actions Secrets\u003C/h3\u003E\n","\u003Cp\u003EAction Secrets in GitHub are used to securely store values/variables which will be used in your CI/CD pipelines. In this step we will create a secret to store the API token to Terraform Cloud.\u003C/p\u003E\n","\u003Cp\u003EFrom the repository, click on the "Settings" tab near the top of the page. From the Settings page, click on the "Secrets" tab in the left hand navigation. The "Actions" secrets should be selected.\u003C/p\u003E\n","\u003Cp\u003EClick on the "New repository secret" button near the top right of the page. For the secret "Name" enter \u003Ccode\u003ETF_API_TOKEN\u003C/code\u003E and for the "Value" enter the API token value you saved from the previous step.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ETip\u003C/strong\u003E - For an even better solution to managing your secrets, you can leverage \u003Ca href=\"https://docs.github.com/en/actions/reference/environments\"\u003EGitHub Actions Environments\u003C/a\u003E. Environments allow you to group secrets together and define protection rules for each of your environments.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EAction Workflows\u003C/h3\u003E\n","\u003Cp\u003EAction Workflows represent automated pipelines, which inludes both build and release pipelines. They are defined as YAML files and stored in your repository in a directory called \u003Ccode\u003E.github/workflows\u003C/code\u003E. In this step we will create a deployment workflow which will run Terraform and deploy changes to our Snowflake account.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EFrom the repository, click on the "Actions" tab near the top middle of the page.\u003C/li\u003E\u003Cli\u003EClick on the "set up a workflow yourself ->" link (if you already have a workflow defined click on the "new workflow" button and then the "set up a workflow yourself ->" link)\u003C/li\u003E\u003Cli\u003EOn the new workflow page\n\u003Cul\u003E\u003Cli\u003EName the workflow \u003Ccode\u003Esnowflake-terraform-demo.yml\u003C/code\u003E\u003C/li\u003E\u003Cli\u003EIn the "Edit new file" box, replace the contents with the the following:\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ul\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-yaml\"\u003Ename: "Snowflake Terraform Demo Workflow"\n\non:\n  push:\n    branches:\n      - main\n\njobs:\n  snowflake-terraform-demo:\n    name: "Snowflake Terraform Demo Job"\n    runs-on: ubuntu-latest\n    steps:\n      - name: Checkout\n        uses: actions/checkout@v2\n\n      - name: Setup Terraform\n        uses: hashicorp/setup-terraform@v1\n        with:\n          cli_config_credentials_token: ${{ secrets.TF_API_TOKEN }}\n\n      - name: Terraform Format\n        id: fmt\n        run: terraform fmt -check\n\n      - name: Terraform Init\n        id: init\n        run: terraform init\n\n      - name: Terraform Validate\n        id: validate\n        run: terraform validate -no-color\n\n      - name: Terraform Apply\n        id: apply\n        run: terraform apply -auto-approve\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EFinally, click on the green "Start commit" button near the top right of the page and then click on the green "Commit new file" in the pop up window (you can leave the default comments and commit settings). You'll now be taken to the workflow folder in your repository.\u003C/p\u003E\n","\u003Cp\u003EA few things to point out from the YAML pipeline definition:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EThe \u003Ccode\u003Eon:\u003C/code\u003E definition configures the pipeline to automatically run when a change is pushed on the \u003Ccode\u003Emain\u003C/code\u003E branch of the repository. So any change committed in a different branch will not automatically trigger the workflow to run.\u003C/li\u003E\u003Cli\u003EPlease note that if you are re-using an existing GitHub repository it might retain the old \u003Ccode\u003Emaster\u003C/code\u003E branch naming. If so, please update the YAML above (see the \u003Ccode\u003Eon:\u003C/code\u003E section).\u003C/li\u003E\u003Cli\u003EWe’re using the default GitHub-hosted Linux agent to execute the pipeline.\u003C/li\u003E\u003C/ul\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ETip\u003C/strong\u003E - For more details about Action Workflows and runs check out the \u003Ca href=\"https://docs.github.com/en/actions/learn-github-actions/introduction-to-github-actions\"\u003EIntroduction to GitHub Actions\u003C/a\u003E page and the \u003Ca href=\"https://docs.github.com/en/actions/reference/workflow-syntax-for-github-actions\"\u003EWorkflow syntax for GitHub Actions\u003C/a\u003E.\u003C/p\u003E\n\u003C/blockquote\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ECreate Your First Database Migration\u003C/h2\u003E\n","\u003Cp\u003EOpen up your cloned GitHub repository in your favorite IDE and create a new file in the root named \u003Ccode\u003Emain.tf\u003C/code\u003E with the following contents. \u003Cem\u003EPlease be sure to replace the organization name with your Terraform Cloud organization name.\u003C/em\u003E\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-terraform\"\u003Eterraform {\n  required_providers {\n    snowflake = {\n      source  = "chanzuckerberg/snowflake"\n      version = "0.25.17"\n    }\n  }\n\n  backend "remote" {\n    organization = "my-organization-name"\n\n    workspaces {\n      name = "gh-actions-demo"\n    }\n  }\n}\n\nprovider "snowflake" {\n}\n\nresource "snowflake_database" "demo_db" {\n  name    = "DEMO_DB"\n  comment = "Database for Snowflake Terraform demo"\n}\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThen commit the new script and push the changes to your GitHub repository. By pushing this commit to our GitHub repository the new workflow we created in the previous step will run automatically.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EConfirm Changes Deployed to Snowflake\u003C/h2\u003E\n","\u003Cp\u003EBy now your first database migration should have been successfully deployed to Snowflake, and you should now have a \u003Ccode\u003EDEMO_DB\u003C/code\u003E database available. There a few different places that you should check to confirm that everything deployed successfully, or to help you debug in the event that an error happened.\u003C/p\u003E\n","\u003Ch3\u003EGitHub Actions Log\u003C/h3\u003E\n","\u003Cp\u003EFrom your repository in GitHub, click on the "Actions" tab. If everything went well, you should see a successful workflow run listed. But either way you should see the run listed under the "All workflows". To see details about the run click on the run name. From the run overview page you can further click on the job name (it should be \u003Ccode\u003ESnowflake Terraform Demo Job\u003C/code\u003E) in the left hand navigation bar or on the node in the yaml file viewer. Here you can browse through the output from the various steps. In particular you might want to review the output from the \u003Ccode\u003ETerraform Apply\u003C/code\u003E step.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/devops-dcm-terraform-github/devops_dcm_terraform_github-7.png\" alt=\"assets/devops_dcm_terraform_github-7.png\"\u003E\u003C/p\u003E\n","\u003Ch3\u003ETerraform Cloud Log\u003C/h3\u003E\n","\u003Cp\u003EWhile you'll generally be able to see all the Terraform output in the GitHub Actions logs, you may need to also view the logs on Terraform Cloud. From your Terraform Cloud Workspace, click on the "Runs" tab. Here you will see each run listed out, and for the purposes of this quickstart, each run here corresponds to a run in GitHub Actions. Click on the run to open it and view the output from the various steps.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/devops-dcm-terraform-github/devops_dcm_terraform_github-8.png\" alt=\"assets/devops_dcm_terraform_github-8.png\"\u003E\u003C/p\u003E\n","\u003Ch3\u003ESnowflake Objects\u003C/h3\u003E\n","\u003Cp\u003ELog in to your Snowflake account and you should see your new \u003Ccode\u003EDEMO_DB\u003C/code\u003E database! Additionaly you can review the queries that were executed by Terraform by clicking on the "History" tab at the top of the window.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ECreate Your Second Database Migration\u003C/h2\u003E\n","\u003Cp\u003ENow that we've successfully deployed our first change to Snowflake, it's time to make a second one. This time we will add a schema to the \u003Ccode\u003EDEMO_DB\u003C/code\u003E and have it deployed through our automated pipeline.\u003C/p\u003E\n","\u003Cp\u003EOpen up your cloned repository in your favorite IDE and edit the \u003Ccode\u003Emain.tf\u003C/code\u003E file by appending the following lines to end of the file:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-terraform\"\u003Eresource "snowflake_schema" "demo_schema" {\n  database = snowflake_database.demo_db.name\n  name     = "DEMO_SCHEMA"\n  comment  = "Schema for Snowflake Terraform demo"\n}\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThen commit the changes and push them to your GitHub repository. Because of the continuous integration trigger we created in the YAML definition, your workflow should have automatically started a new run. Toggle back to your GitHub and open up the "Actions" page. From there open up the most recent workflow run and view the logs. Go through the same steps you did in the previous section to confirm that the new \u003Ccode\u003EDEMO_SCHEMA\u003C/code\u003E has been deployed successfully.\u003C/p\u003E\n","\u003Cp\u003ECongratulations, you now have a working CI/CD pipeline with Terraform and Snowflake!\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EBonus: Advanced Actions Workflow\u003C/h2\u003E\n","\u003Cp\u003EIn the previous sections we created and tested a simple GitHub Actions workflow with Terraform. This section provides a more advanced workflow that you can test out. This one adds the capability for having Terraform validate and plan a change before it's actually deployed. This pipeline adds CI triggers that cause it to run when a Pull Request (PR) is created/updated. During that process it will run a \u003Ccode\u003Eterraform plan\u003C/code\u003E and stick the results in the PR itself for easy review. Please give it a try!\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-terraform\"\u003Ename: "Snowflake Terraform Demo Workflow"\n\non:\n  push:\n    branches:\n      - main\n  pull_request:\n\njobs:\n  snowflake-terraform-demo:\n    name: "Snowflake Terraform Demo Job"\n    runs-on: ubuntu-latest\n    steps:\n      - name: Checkout\n        uses: actions/checkout@v2\n\n      - name: Setup Terraform\n        uses: hashicorp/setup-terraform@v1\n        with:\n          cli_config_credentials_token: ${{ secrets.TF_API_TOKEN }}\n\n      - name: Terraform Format\n        id: fmt\n        run: terraform fmt -check\n\n      - name: Terraform Init\n        id: init\n        run: terraform init\n\n      - name: Terraform Validate\n        id: validate\n        run: terraform validate -no-color\n\n      - name: Terraform Plan\n        id: plan\n        if: github.event_name == 'pull_request'\n        run: terraform plan -no-color\n        continue-on-error: true\n\n      - uses: actions/github-script@0.9.0\n        if: github.event_name == 'pull_request'\n        env:\n          PLAN: "terraform\\n${{ steps.plan.outputs.stdout }}"\n        with:\n          github-token: ${{ secrets.GITHUB_TOKEN }}\n          script: |\n            const output = `#### Terraform Format and Style 🖌\\`${{ steps.fmt.outcome }}\\`\n            #### Terraform Initialization ⚙️\\`${{ steps.init.outcome }}\\`\n            #### Terraform Validation 🤖\\`${{ steps.validate.outcome }}\\`\n            #### Terraform Plan 📖\\`${{ steps.plan.outcome }}\\`\n            \n            <details><summary>Show Plan</summary>\n            \n            \\`\\`\\`\\n\n            ${process.env.PLAN}\n            \\`\\`\\`\n            \n            </details>\n            \n            *Pusher: @${{ github.actor }}, Action: \\`${{ github.event_name }}\\`, Working Directory: \\`${{ env.tf_actions_working_dir }}\\`, Workflow: \\`${{ github.workflow }}\\`*`;\n            \n            github.issues.createComment({\n              issue_number: context.issue.number,\n              owner: context.repo.owner,\n              repo: context.repo.repo,\n              body: output\n            })\n\n      - name: Terraform Plan Status\n        if: steps.plan.outcome == 'failure'\n        run: exit 1\n\n      - name: Terraform Apply\n        if: github.ref == 'refs/heads/main' && github.event_name == 'push'\n        run: terraform apply -auto-approve\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis worklow was adapted from \u003Ca href=\"https://learn.hashicorp.com/tutorials/terraform/github-actions\"\u003EAutomate Terraform with GitHub Actions\u003C/a\u003E.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EConclusion & Next Steps\u003C/h2\u003E\n","\u003Cp\u003ESo now that you’ve got your first Snowflake CI/CD pipeline set up, what’s next? The software development life cycle, including CI/CD pipelines, gets much more complicated in the real-world. Best practices include pushing changes through a series of environments, adopting a branching strategy, and incorporating a comprehensive testing strategy, to name a few.\u003C/p\u003E\n","\u003Ch4\u003EPipeline Stages\u003C/h4\u003E\n","\u003Cp\u003EIn the real-world you will have multiple stages in your build and release pipelines. A simple, helpful way to think about stages in a deployment pipeline is to think about them as environments, such as dev, test, and prod. Your GitHub Actions workflow can be extended to include a stage for each of your environments. For more details around how to work with environments, please refer to \u003Ca href=\"https://docs.github.com/en/actions/reference/environments\"\u003EEnvironments\u003C/a\u003E in GitHub.\u003C/p\u003E\n","\u003Ch4\u003EBranching Strategy\u003C/h4\u003E\n","\u003Cp\u003EBranching strategies can be complex, but there are a few popular ones out there that can help get you started. To begin with I would recommend keeping it simple with \u003Ca href=\"https://guides.github.com/introduction/flow/\"\u003EGitHub flow\u003C/a\u003E (and see also \u003Ca href=\"http://scottchacon.com/2011/08/31/github-flow.html\"\u003Ean explanation of GitHub flow by Scott Chacon in 2011\u003C/a\u003E). Another simple framework to consider is \u003Ca href=\"https://about.gitlab.com/blog/2014/09/29/gitlab-flow/\"\u003EGitLab flow\u003C/a\u003E.\u003C/p\u003E\n","\u003Ch4\u003ETesting Strategy\u003C/h4\u003E\n","\u003Cp\u003ETesting is an important part of any software development process, and is absolutely critical when it comes to automated software delivery. But testing for databases and data pipelines is complicated and there are many approaches, frameworks, and tools out there. In my opinion, the simplest way to get started testing data pipelines is with \u003Ca href=\"https://www.getdbt.com/\"\u003Edbt\u003C/a\u003E and the \u003Ca href=\"https://docs.getdbt.com/docs/building-a-dbt-project/tests/\"\u003Edbt Test features\u003C/a\u003E. Another popular Python-based testing tool to consider is \u003Ca href=\"https://greatexpectations.io/\"\u003EGreat Expectations\u003C/a\u003E.\u003C/p\u003E\n","\u003Cp\u003EWith that you should now have a working CI/CD pipeline in GitHub Actions and some helpful ideas for next steps on your DevOps journey with Snowflake. Good luck!\u003C/p\u003E\n","\u003Ch3\u003EWhat We've Covered\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EA brief history and overview of GitHub Actions\u003C/li\u003E\u003Cli\u003EA brief history and overview of Terraform and Terraform Cloud\u003C/li\u003E\u003Cli\u003EHow database change management tools like Terraform work\u003C/li\u003E\u003Cli\u003EHow a simple release pipeline works\u003C/li\u003E\u003Cli\u003EHow to create CI/CD pipelines in GitHub Actions\u003C/li\u003E\u003Cli\u003EIdeas for more advanced CI/CD pipelines with stages\u003C/li\u003E\u003Cli\u003EHow to get started with branching strategies\u003C/li\u003E\u003Cli\u003EHow to get started with testing strategies\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003ERelated Resources\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://www.terraform.io/\"\u003ETerraform\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://registry.terraform.io/providers/chanzuckerberg/snowflake/latest\"\u003EChan Zuckerberg Terraform Provider for Snowflake\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/terraforming-snowflake/\"\u003ETerraforming Snowflake Quickstart\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://github.com/features/actions\"\u003EGitHub Actions\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E"],"description":"Manage Snowflake resources with Terraform and GitHub Actions for infrastructure-as-code deployments and version control.","title":"DevOps: Database Change Management with Terraform and GitHub","isDeveloperGuidesPage":false,"elements":{"quickstartArticleBody":{"dataType":"string","title":"Quickstart Article Body","value":"\u003C!-- ------------------------ --\u003E\n## Overview \n\n![assets/devops_dcm_terraform_github-1.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/devops-dcm-terraform-github/devops_dcm_terraform_github-1.png)\n\nThis quickstart will provide step-by-step instructions for how to build a simple CI/CD pipeline for Snowflake with GitHub Actions and Terraform. My hope is that this will provide you with enough details to get you started on your DevOps journey with Snowflake, GitHub Actions, and Terraform.\n\nDevOps is concerned with automating the development, release and maintenance of software applications. As such, DevOps is very broad and covers the entire Software Development Life Cycle (SDLC). The landscape of software tools used to manage the entire SDLC is complex since there are many different required capabilities/tools, including:\n\n- Requirements management\n- Project management (Waterfall, Agile/Scrum)\n- Source code management (Version Control)\n- Build management (CI/CD)\n- Test management (CI/CD)\n- Release management (CI/CD)\n\nThis quickstart will focus primarily on automated release management for Snowflake by leveraging the GitHub Actions service from GitHub for the CI/CD and Terraform for the Database Change Management. Database Change Management (DCM) refers to a set of processes and tools which are used to manage the objects within a database. It’s beyond the scope of this quickstart to provide details around the challenges with and approaches to automating the management of your database objects. If you’re interested in more details, please see my blog post [Embracing Agile Software Delivery and DevOps with Snowflake](/blog/embracing-agile-software-delivery-and-devops-with-snowflake/).\n\n\u003E \n\u003E \n\u003E  **Tip** - For a more complete introduction to using Terraform with Snowflake, please check out our related quickstart [Terraforming Snowflake](/en/developers/guides/terraforming-snowflake/).\n\nLet’s begin with a brief overview of GitHub and Terraform.\n\n### Prerequisites\n\nThis quickstart assumes that you have a basic working knowledge of Git repositories.\n\n### What You'll Learn\n\n* A brief history and overview of GitHub Actions\n* A brief history and overview of Terraform and Terraform Cloud\n* How database change management tools like Terraform work\n* How a simple release pipeline works\n* How to create CI/CD pipelines in GitHub Actions\n* Ideas for more advanced CI/CD pipelines with stages\n* How to get started with branching strategies\n* How to get started with testing strategies\n\n### What You'll Need\n\nYou will need the following things before beginning:\n\n1. Snowflake\n  1. **A Snowflake Account.**\n  1. **A Snowflake User created with appropriate permissions.** This user will need permission to create databases.\n1. GitHub\n  1. **A GitHub Account.** If you don’t already have a GitHub account you can create one for free. Visit the [Join GitHub](https://github.com/join) page to get started.\n  1. **A GitHub Repository.** If you don't already have a repository created, or would like to create a new one, then [Create a new respository](https://github.com/new). For the type, select `Public` (although you could use either). And you can skip adding the README, .gitignore and license for now.\n1. Terraform Cloud\n  1. **A Terraform Cloud Account.** If you don't already have a Terraform Cloud account you can create on for free. Visit the [Create an account](https://app.terraform.io/signup/account) page to get started.\n1. Integrated Development Environment (IDE)\n  1. **Your favorite IDE with Git integration.** If you don’t already have a favorite IDE that integrates with Git I would recommend the great, free, open-source [Visual Studio Code](https://code.visualstudio.com/).\n  1. **Your project repository cloned to your computer.** For connection details about your Git repository, open the Repository and copy the `HTTPS` link provided near the top of the page. If you have at least one file in your repository then click on the green `Code` icon near the top of the page and copy the `HTTPS` link. Use that link in VS Code or your favorite IDE to clone the repo to your computer.\n\n### What You'll Build\n\n* A simple, working release pipeline for Snowflake in GitHub Actions using Terraform\n\n\u003C!-- ------------------------ --\u003E\n## GitHub Overview\n\n![assets/devops_dcm_terraform_github-2.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/devops-dcm-terraform-github/devops_dcm_terraform_github-2.png)\n\n### GitHub\nGitHub provides a complete, end-to-end set of software development tools to manage the SDLC. In particular GitHub provides the following services (from GitHub's [Features](https://github.com/features)):\n\n- Collaborative Coding\n- Automation & CI/CD\n- Security\n- Client Apps\n- Project Management\n- Team Administration\n- Community\n\n![assets/devops_dcm_terraform_github-3.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/devops-dcm-terraform-github/devops_dcm_terraform_github-3.png)\n\n### GitHub Actions\n\"GitHub Actions makes it easy to automate all your software workflows, now with world-class CI/CD. Build, test, and deploy your code right from GitHub. Make code reviews, branch management, and issue triaging work the way you want\" (from GitHub’s [GitHub Actions](https://github.com/features/actions)). GitHub Actions was [first announced in October 2018](https://github.blog/2018-10-16-future-of-software/) and has since become a popular CI/CD tool. To learn more about GitHub Actions, including migrating from other popular CI/CD tools to GitHub Actions check out [Learn GitHub Actions](https://docs.github.com/en/actions/learn-github-actions).\n\nThis quickstart will be focused on the GitHub Actions service.\n\n\u003C!-- ------------------------ --\u003E\n## Terraform Overview\n\n![assets/devops_dcm_terraform_github-4.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/devops-dcm-terraform-github/devops_dcm_terraform_github-4.png)\n\n### Terraform\n[Terraform](https://www.terraform.io/) is an open-source Infrastructure as Code (IaC) tool created by [HashiCorp](https://www.hashicorp.com/) that \"allows you to build, change, and version infrastructure safely and efficiently. This includes low-level components such as compute instances, storage, and networking, as well as high-level components such as DNS entries, SaaS features, etc. Terraform can manage both existing service providers and custom in-house solutions.\" (from [Introduction to Terraform](https://www.terraform.io/intro/index.html)). With Terraform the primary way to describe your infrastructure is by creating human-readble, declarative configuration files using the high-level configuration language known as [HashiCorp Configuration Language (HCL)](https://www.terraform.io/docs/language/index.html).\n\n### Chan Zuckerberg Provider\nWhile Terraform began as an IaC tool it has expanded and taken on many additional use cases (some listed above). Terraform can be extended to support these different uses cases and systems through a [Terraform Provider](https://registry.terraform.io/browse/providers). There is no official, first-party Terraform-managed Provider for Snowflake, but the [Chan Zuckerberg Initiative (CZI)](https://chanzuckerberg.com/) has created a popular [Terraform Provider for Snowflake](https://registry.terraform.io/providers/chanzuckerberg/snowflake/latest).\n\nPlease note that this CZI Provider for Snowflake is a community-developed Provider, not an official Snowflake offering. It comes with no support or warranty.\n\n\u003E \n\u003E \n\u003E  **REALLY IMPORTANT** - **Do not use this provider to manage your Snowflake tables.** Currently the CZI Snowflake Provider drops and re-creates a table each time you make changes to it. So when using Terraform with Snowflake use it to create/manage the account level objects (warehouses, roles, integrations, databases, schemas, etc.) and then use a separate DCM tool for most objects within the database schema (tables, views, stored procedures, etc.).\n\n### State Files\nAnother really important thing to understand about Terraform is how it tracks the state of the resources/objects being managed. Many declarative style tools like this will do a real-time comparison between the objects defined in code and the deployed objects and then figure out what changes are required. But Terraform does not operate in this manner, instead it maintains a State file which keeps track of things. See Terraform's overview of [State](https://www.terraform.io/docs/language/state/index.html) and in particular their discussion of why they chose to require a State file in [Purpose of Terraform State](https://www.terraform.io/docs/language/state/purpose.html).\n\nState files in Terraform introduce a few challenges, the most significant is that the State file can get out of sync with the actual deployed objects. This will happen if you use a different process/tool than Terraform to update any deployed object (including making manual changes to a deployed object). The State file can also get out of sync (or corrupted) when multiple developers/process are trying to access it at the same time. See Terraform's [Remote State](https://www.terraform.io/docs/language/state/remote.html) page for recommended solutions, including Terraform Cloud which will be discussed next.\n\n### Terraform Cloud\n\"Terraform Cloud is HashiCorp’s managed service offering that eliminates the need for unnecessary tooling and documentation to use Terraform in production. Provision infrastructure securely and reliably in the cloud with free remote state storage. As you scale, add workspaces for better collaboration with your team.\" (from [Why Terraform Cloud?](https://www.terraform.io/cloud))\n\nSome of the key features include (from [Why Terraform Cloud?](https://www.terraform.io/cloud)):\n* **Remote state storage**: Store your Terraform state file securely with encryption at rest. Track infrastructure changes over time, and restrict access to certain teams within your organization.\n* **Flexible Workflows**: Run Terraform the way your team prefers. Execute runs from the CLI or a UI, your version control system, or integrate them into your existing workflows with an API.\n* **Version Control (VCS) integration**: Use version control to store and collaborate on Terraform configurations. Terraform Cloud can automate a run as soon as a pull request is merged into a main branch.\n* **Collaborate on infrastructure changes**: Facilitate collaboration on your team. Review and comment on plans prior to executing any change to infrastructure.\n\n\u003C!-- ------------------------ --\u003E\n## Setup and Configure Terraform Cloud\n\nAs discussed in the Overview section, you will need to have a Terraform Cloud Account for this quickstart. If you don't already have a Terraform Cloud account you can create on for free. Visit the [Create an account](https://app.terraform.io/signup/account) page to get started. After you create your account you'll be asked to provide an organization name.\n\nBegin by [logging in to your Terraform Cloud account](https://app.terraform.io/). Please note your organization name, we'll need it later. If you've forgotten, you can find your organization name in the top navigation bar and in the URL.\n\n### Create a new Workspace\nFrom the Workspaces page click on the \"+ New workspace\" button near the top right of the page. On the first page, where it asks you to choose the type of workflow, select \"API-driven workflow\".\n\n![assets/devops_dcm_terraform_github-5.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/devops-dcm-terraform-github/devops_dcm_terraform_github-5.png)\n\nOn the second page, where it asks for the \"Workspace Name\" enter `gh-actions-demo` and then click the \"Create workspace\" button at the bottom of the page.\n\n### Setup Environment Variables\nIn order for Terraform Cloud to be able to connect to your Snowflake account you'll need to store the settings in Environment variables. Fortunately, Terraform Cloud makes this easy. From your new workspace homepage click on the \"Variables\" tab. Then for each variable listed below click on \"+ Add variable\" button (under the \"Environment Variables\" section) and enter the name given below along with the appropriate value (adjusting as appropriate).\n\n| Variable key | Variable value | Sensitive? |\n|--------------|----------------|------------|\n| SNOWFLAKE_ACCOUNT | xy12345 | No |\n| SNOWFLAKE_REGION | east-us-2.azure | No |\n| SNOWFLAKE_USER | DEMO_USER | No |\n| SNOWFLAKE_PASSWORD | ***** | Yes |\n\n\u003E \n\u003E \n\u003E  **Tip** - For more details on the supported arguments please check out the [CZI Terraform Provider for Snowflake documentation](https://registry.terraform.io/providers/chanzuckerberg/snowflake/latest/docs).\n\nWhen you’re finished adding all the secrets, the page should look like this:\n\n![assets/devops_dcm_terraform_github-6.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/devops-dcm-terraform-github/devops_dcm_terraform_github-6.png)\n\n### Create an API Token\nThe final thing we need to do in Terraform Cloud is to create an API Token so that GitHub Actions can securely authenticate with Terraform Cloud. Click on your user icon near the top right of the screen and then click on \"User settings\". Then in the left navigation bar click on the user settings page click on the \"Tokens\" tab.\n\nClick on the \"Create an API token\" button, give your token a \"Description\" (like `GitHub Actions`) and then click on the \"Create API token\" button. Pay careful attention on the next screen. You need to save the API token because once you click on the \"Done\" button the token **will not be displayed again**. Once you've saved the token, click the \"Done\" button.\n\n\n\u003C!-- ------------------------ --\u003E\n## Create the Actions Workflow\n\n### Create Actions Secrets\nAction Secrets in GitHub are used to securely store values/variables which will be used in your CI/CD pipelines. In this step we will create a secret to store the API token to Terraform Cloud.\n\nFrom the repository, click on the \"Settings\" tab near the top of the page. From the Settings page, click on the \"Secrets\" tab in the left hand navigation. The \"Actions\" secrets should be selected.\n\nClick on the \"New repository secret\" button near the top right of the page. For the secret \"Name\" enter `TF_API_TOKEN` and for the \"Value\" enter the API token value you saved from the previous step.\n\n\u003E \n\u003E \n\u003E  **Tip** - For an even better solution to managing your secrets, you can leverage [GitHub Actions Environments](https://docs.github.com/en/actions/reference/environments). Environments allow you to group secrets together and define protection rules for each of your environments.\n\n### Action Workflows\nAction Workflows represent automated pipelines, which inludes both build and release pipelines. They are defined as YAML files and stored in your repository in a directory called `.github/workflows`. In this step we will create a deployment workflow which will run Terraform and deploy changes to our Snowflake account.\n\n- From the repository, click on the \"Actions\" tab near the top middle of the page.\n- Click on the \"set up a workflow yourself -\u003E\" link (if you already have a workflow defined click on the \"new workflow\" button and then the \"set up a workflow yourself -\u003E\" link)\n- On the new workflow page\n  - Name the workflow `snowflake-terraform-demo.yml`\n  - In the \"Edit new file\" box, replace the contents with the the following:\n\n```yaml\nname: \"Snowflake Terraform Demo Workflow\"\n\non:\n  push:\n    branches:\n      - main\n\njobs:\n  snowflake-terraform-demo:\n    name: \"Snowflake Terraform Demo Job\"\n    runs-on: ubuntu-latest\n    steps:\n      - name: Checkout\n        uses: actions/checkout@v2\n\n      - name: Setup Terraform\n        uses: hashicorp/setup-terraform@v1\n        with:\n          cli_config_credentials_token: ${{ secrets.TF_API_TOKEN }}\n\n      - name: Terraform Format\n        id: fmt\n        run: terraform fmt -check\n\n      - name: Terraform Init\n        id: init\n        run: terraform init\n\n      - name: Terraform Validate\n        id: validate\n        run: terraform validate -no-color\n\n      - name: Terraform Apply\n        id: apply\n        run: terraform apply -auto-approve\n```\n\nFinally, click on the green \"Start commit\" button near the top right of the page and then click on the green \"Commit new file\" in the pop up window (you can leave the default comments and commit settings). You'll now be taken to the workflow folder in your repository.\n\nA few things to point out from the YAML pipeline definition:\n\n- The `on:` definition configures the pipeline to automatically run when a change is pushed on the `main` branch of the repository. So any change committed in a different branch will not automatically trigger the workflow to run.\n- Please note that if you are re-using an existing GitHub repository it might retain the old `master` branch naming. If so, please update the YAML above (see the `on:` section).\n- We’re using the default GitHub-hosted Linux agent to execute the pipeline.\n\n\u003E \n\u003E \n\u003E  **Tip** - For more details about Action Workflows and runs check out the [Introduction to GitHub Actions](https://docs.github.com/en/actions/learn-github-actions/introduction-to-github-actions) page and the [Workflow syntax for GitHub Actions](https://docs.github.com/en/actions/reference/workflow-syntax-for-github-actions).\n\n\u003C!-- ------------------------ --\u003E\n## Create Your First Database Migration\n\nOpen up your cloned GitHub repository in your favorite IDE and create a new file in the root named `main.tf` with the following contents. *Please be sure to replace the organization name with your Terraform Cloud organization name.*\n\n```terraform\nterraform {\n  required_providers {\n    snowflake = {\n      source  = \"chanzuckerberg/snowflake\"\n      version = \"0.25.17\"\n    }\n  }\n\n  backend \"remote\" {\n    organization = \"my-organization-name\"\n\n    workspaces {\n      name = \"gh-actions-demo\"\n    }\n  }\n}\n\nprovider \"snowflake\" {\n}\n\nresource \"snowflake_database\" \"demo_db\" {\n  name    = \"DEMO_DB\"\n  comment = \"Database for Snowflake Terraform demo\"\n}\n```\n\nThen commit the new script and push the changes to your GitHub repository. By pushing this commit to our GitHub repository the new workflow we created in the previous step will run automatically.\n\n\u003C!-- ------------------------ --\u003E\n## Confirm Changes Deployed to Snowflake\n\nBy now your first database migration should have been successfully deployed to Snowflake, and you should now have a `DEMO_DB` database available. There a few different places that you should check to confirm that everything deployed successfully, or to help you debug in the event that an error happened.\n\n### GitHub Actions Log\n\nFrom your repository in GitHub, click on the \"Actions\" tab. If everything went well, you should see a successful workflow run listed. But either way you should see the run listed under the \"All workflows\". To see details about the run click on the run name. From the run overview page you can further click on the job name (it should be `Snowflake Terraform Demo Job`) in the left hand navigation bar or on the node in the yaml file viewer. Here you can browse through the output from the various steps. In particular you might want to review the output from the `Terraform Apply` step.\n\n![assets/devops_dcm_terraform_github-7.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/devops-dcm-terraform-github/devops_dcm_terraform_github-7.png)\n\n### Terraform Cloud Log\n\nWhile you'll generally be able to see all the Terraform output in the GitHub Actions logs, you may need to also view the logs on Terraform Cloud. From your Terraform Cloud Workspace, click on the \"Runs\" tab. Here you will see each run listed out, and for the purposes of this quickstart, each run here corresponds to a run in GitHub Actions. Click on the run to open it and view the output from the various steps.\n\n![assets/devops_dcm_terraform_github-8.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/devops-dcm-terraform-github/devops_dcm_terraform_github-8.png)\n\n### Snowflake Objects\n\nLog in to your Snowflake account and you should see your new `DEMO_DB` database! Additionaly you can review the queries that were executed by Terraform by clicking on the \"History\" tab at the top of the window.\n\n\u003C!-- ------------------------ --\u003E\n## Create Your Second Database Migration\n\nNow that we've successfully deployed our first change to Snowflake, it's time to make a second one. This time we will add a schema to the `DEMO_DB` and have it deployed through our automated pipeline.\n\nOpen up your cloned repository in your favorite IDE and edit the `main.tf` file by appending the following lines to end of the file:\n\n```terraform\nresource \"snowflake_schema\" \"demo_schema\" {\n  database = snowflake_database.demo_db.name\n  name     = \"DEMO_SCHEMA\"\n  comment  = \"Schema for Snowflake Terraform demo\"\n}\n```\n\nThen commit the changes and push them to your GitHub repository. Because of the continuous integration trigger we created in the YAML definition, your workflow should have automatically started a new run. Toggle back to your GitHub and open up the \"Actions\" page. From there open up the most recent workflow run and view the logs. Go through the same steps you did in the previous section to confirm that the new `DEMO_SCHEMA` has been deployed successfully.\n\nCongratulations, you now have a working CI/CD pipeline with Terraform and Snowflake!\n\n\u003C!-- ------------------------ --\u003E\n## Bonus: Advanced Actions Workflow\n\nIn the previous sections we created and tested a simple GitHub Actions workflow with Terraform. This section provides a more advanced workflow that you can test out. This one adds the capability for having Terraform validate and plan a change before it's actually deployed. This pipeline adds CI triggers that cause it to run when a Pull Request (PR) is created/updated. During that process it will run a `terraform plan` and stick the results in the PR itself for easy review. Please give it a try!\n\n```terraform\nname: \"Snowflake Terraform Demo Workflow\"\n\non:\n  push:\n    branches:\n      - main\n  pull_request:\n\njobs:\n  snowflake-terraform-demo:\n    name: \"Snowflake Terraform Demo Job\"\n    runs-on: ubuntu-latest\n    steps:\n      - name: Checkout\n        uses: actions/checkout@v2\n\n      - name: Setup Terraform\n        uses: hashicorp/setup-terraform@v1\n        with:\n          cli_config_credentials_token: ${{ secrets.TF_API_TOKEN }}\n\n      - name: Terraform Format\n        id: fmt\n        run: terraform fmt -check\n\n      - name: Terraform Init\n        id: init\n        run: terraform init\n\n      - name: Terraform Validate\n        id: validate\n        run: terraform validate -no-color\n\n      - name: Terraform Plan\n        id: plan\n        if: github.event_name == 'pull_request'\n        run: terraform plan -no-color\n        continue-on-error: true\n\n      - uses: actions/github-script@0.9.0\n        if: github.event_name == 'pull_request'\n        env:\n          PLAN: \"terraform\\n${{ steps.plan.outputs.stdout }}\"\n        with:\n          github-token: ${{ secrets.GITHUB_TOKEN }}\n          script: |\n            const output = `#### Terraform Format and Style 🖌\\`${{ steps.fmt.outcome }}\\`\n            #### Terraform Initialization ⚙️\\`${{ steps.init.outcome }}\\`\n            #### Terraform Validation 🤖\\`${{ steps.validate.outcome }}\\`\n            #### Terraform Plan 📖\\`${{ steps.plan.outcome }}\\`\n            \n            \u003Cdetails\u003E\u003Csummary\u003EShow Plan\u003C/summary\u003E\n            \n            \\`\\`\\`\\n\n            ${process.env.PLAN}\n            \\`\\`\\`\n            \n            \u003C/details\u003E\n            \n            *Pusher: @${{ github.actor }}, Action: \\`${{ github.event_name }}\\`, Working Directory: \\`${{ env.tf_actions_working_dir }}\\`, Workflow: \\`${{ github.workflow }}\\`*`;\n            \n            github.issues.createComment({\n              issue_number: context.issue.number,\n              owner: context.repo.owner,\n              repo: context.repo.repo,\n              body: output\n            })\n\n      - name: Terraform Plan Status\n        if: steps.plan.outcome == 'failure'\n        run: exit 1\n\n      - name: Terraform Apply\n        if: github.ref == 'refs/heads/main' && github.event_name == 'push'\n        run: terraform apply -auto-approve\n```\n\nThis worklow was adapted from [Automate Terraform with GitHub Actions](https://learn.hashicorp.com/tutorials/terraform/github-actions).\n\n\u003C!-- ------------------------ --\u003E\n## Conclusion & Next Steps\n\nSo now that you’ve got your first Snowflake CI/CD pipeline set up, what’s next? The software development life cycle, including CI/CD pipelines, gets much more complicated in the real-world. Best practices include pushing changes through a series of environments, adopting a branching strategy, and incorporating a comprehensive testing strategy, to name a few.\n\n#### Pipeline Stages\nIn the real-world you will have multiple stages in your build and release pipelines. A simple, helpful way to think about stages in a deployment pipeline is to think about them as environments, such as dev, test, and prod. Your GitHub Actions workflow can be extended to include a stage for each of your environments. For more details around how to work with environments, please refer to [Environments](https://docs.github.com/en/actions/reference/environments) in GitHub.\n\n#### Branching Strategy\nBranching strategies can be complex, but there are a few popular ones out there that can help get you started. To begin with I would recommend keeping it simple with [GitHub flow](https://guides.github.com/introduction/flow/) (and see also [an explanation of GitHub flow by Scott Chacon in 2011](http://scottchacon.com/2011/08/31/github-flow.html)). Another simple framework to consider is [GitLab flow](https://about.gitlab.com/blog/2014/09/29/gitlab-flow/).\n\n#### Testing Strategy\nTesting is an important part of any software development process, and is absolutely critical when it comes to automated software delivery. But testing for databases and data pipelines is complicated and there are many approaches, frameworks, and tools out there. In my opinion, the simplest way to get started testing data pipelines is with [dbt](https://www.getdbt.com/) and the [dbt Test features](https://docs.getdbt.com/docs/building-a-dbt-project/tests/). Another popular Python-based testing tool to consider is [Great Expectations](https://greatexpectations.io/).\n\nWith that you should now have a working CI/CD pipeline in GitHub Actions and some helpful ideas for next steps on your DevOps journey with Snowflake. Good luck!\n\n### What We've Covered\n\n* A brief history and overview of GitHub Actions\n* A brief history and overview of Terraform and Terraform Cloud\n* How database change management tools like Terraform work\n* How a simple release pipeline works\n* How to create CI/CD pipelines in GitHub Actions\n* Ideas for more advanced CI/CD pipelines with stages\n* How to get started with branching strategies\n* How to get started with testing strategies\n\n### Related Resources\n\n* [Terraform](https://www.terraform.io/)\n* [Chan Zuckerberg Terraform Provider for Snowflake](https://registry.terraform.io/providers/chanzuckerberg/snowflake/latest)\n* [Terraforming Snowflake Quickstart](/en/developers/guides/terraforming-snowflake/)\n* [GitHub Actions](https://github.com/features/actions)\n",":type":"text/x-markdown","multiValue":false},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image",":type":"text/plain","multiValue":false}},"elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],":type":"snowflake-site/components/contentfragment",":items":{},":itemsOrder":[],"model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-ca53d95bc5","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"none","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-ab55d11b40",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-146d7471f7","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2025-12-20",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-6e497a5d5e","additionalClasses":"qs-disclaimer-text","text":"\u003Cp\u003E\u003Cspan style=\"color: #666;\"\u003EThis content is provided as is, and is not maintained on an ongoing basis. 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Overview\u003C/h2\u003E","\u003Ch2\u003ETerraform Overview\u003C/h2\u003E","\u003Ch2\u003ESetup and Configure Terraform Cloud\u003C/h2\u003E","\u003Ch2\u003ECreate the Actions Workflow\u003C/h2\u003E","\u003Ch2\u003ECreate Your First Database Migration\u003C/h2\u003E","\u003Ch2\u003EConfirm Changes Deployed to Snowflake\u003C/h2\u003E","\u003Ch2\u003ECreate Your Second Database Migration\u003C/h2\u003E","\u003Ch2\u003EBonus: Advanced Actions Workflow\u003C/h2\u003E","\u003Ch2\u003EConclusion & Next 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