From 39bd948b21ebe8f3b30bbe1a23dc5b0dca60b66b Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Mon, 7 Oct 2024 16:25:20 +0100 Subject: [PATCH 1/4] add toggle note --- website/docs/docs/build/metricflow-commands.md | 2 +- website/docs/docs/cloud/about-cloud-develop-defer.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/build/metricflow-commands.md b/website/docs/docs/build/metricflow-commands.md index d739f370349..ace9756c0a1 100644 --- a/website/docs/docs/build/metricflow-commands.md +++ b/website/docs/docs/build/metricflow-commands.md @@ -29,7 +29,7 @@ In dbt Cloud, run MetricFlow commands directly in the [dbt Cloud IDE](/docs/clou For dbt Cloud CLI users, MetricFlow commands are embedded in the dbt Cloud CLI, which means you can immediately run them once you install the dbt Cloud CLI and don't need to install MetricFlow separately. You don't need to manage versioning because your dbt Cloud account will automatically manage the versioning for you. -Note: The **Defer to staging/production** [toggle](/docs/cloud/about-cloud-develop-defer#defer-in-the-dbt-cloud-ide) is currently not available when running Semantic Layer commands in the dbt Cloud IDE. To use defer for Semantic layer commands in the IDE, manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon. +Note: The **Defer to staging/production** [toggle](/docs/cloud/about-cloud-develop-defer#defer-in-the-dbt-cloud-ide) is currently not available when running Semantic Layer commands in the dbt Cloud IDE. To use defer for Semantic layer commands in the IDE, toggle the button on and manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon. diff --git a/website/docs/docs/cloud/about-cloud-develop-defer.md b/website/docs/docs/cloud/about-cloud-develop-defer.md index f23208f7b32..bd8cb8b7795 100644 --- a/website/docs/docs/cloud/about-cloud-develop-defer.md +++ b/website/docs/docs/cloud/about-cloud-develop-defer.md @@ -41,7 +41,7 @@ To enable defer in the dbt Cloud IDE, toggle the **Defer to production** button For example, if you were to start developing on a new branch with [nothing in your development schema](/reference/node-selection/defer#usage), edit a single model, and run `dbt build -s state:modified` — only the edited model would run. Any `{{ ref() }}` functions will point to the production location of the referenced models. -Note: The **Defer to staging/production** toggle is currently not available when running [dbt Semantic Layer commands](/docs/build/metricflow-commands) in the dbt Cloud IDE. To use defer for Semantic layer commands in the IDE, manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon. +Note: The **Defer to staging/production** toggle is currently not available when running [dbt Semantic Layer commands](/docs/build/metricflow-commands) in the dbt Cloud IDE. To use defer for Semantic layer commands in the IDE, toggle the button on and manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon. From 90f020fff6da7e6ea38073ea64642075f2fa28dd Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Mon, 7 Oct 2024 16:34:55 +0100 Subject: [PATCH 2/4] matt's feedback --- website/docs/docs/build/metricflow-commands.md | 2 +- website/docs/docs/cloud/about-cloud-develop-defer.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/build/metricflow-commands.md b/website/docs/docs/build/metricflow-commands.md index ace9756c0a1..52457b27f72 100644 --- a/website/docs/docs/build/metricflow-commands.md +++ b/website/docs/docs/build/metricflow-commands.md @@ -29,7 +29,7 @@ In dbt Cloud, run MetricFlow commands directly in the [dbt Cloud IDE](/docs/clou For dbt Cloud CLI users, MetricFlow commands are embedded in the dbt Cloud CLI, which means you can immediately run them once you install the dbt Cloud CLI and don't need to install MetricFlow separately. You don't need to manage versioning because your dbt Cloud account will automatically manage the versioning for you. -Note: The **Defer to staging/production** [toggle](/docs/cloud/about-cloud-develop-defer#defer-in-the-dbt-cloud-ide) is currently not available when running Semantic Layer commands in the dbt Cloud IDE. To use defer for Semantic layer commands in the IDE, toggle the button on and manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon. +Note: The **Defer to staging/production** [toggle](/docs/cloud/about-cloud-develop-defer#defer-in-the-dbt-cloud-ide) button doesn't work with Semantic Layer commands in the dbt Cloud IDE. To use defer for Semantic layer commands in the IDE, toggle the button on and manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon. diff --git a/website/docs/docs/cloud/about-cloud-develop-defer.md b/website/docs/docs/cloud/about-cloud-develop-defer.md index bd8cb8b7795..7949cf70f82 100644 --- a/website/docs/docs/cloud/about-cloud-develop-defer.md +++ b/website/docs/docs/cloud/about-cloud-develop-defer.md @@ -41,7 +41,7 @@ To enable defer in the dbt Cloud IDE, toggle the **Defer to production** button For example, if you were to start developing on a new branch with [nothing in your development schema](/reference/node-selection/defer#usage), edit a single model, and run `dbt build -s state:modified` — only the edited model would run. Any `{{ ref() }}` functions will point to the production location of the referenced models. -Note: The **Defer to staging/production** toggle is currently not available when running [dbt Semantic Layer commands](/docs/build/metricflow-commands) in the dbt Cloud IDE. To use defer for Semantic layer commands in the IDE, toggle the button on and manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon. +Note: The **Defer to staging/production** toggle button doesn't work with [dbt Semantic Layer commands](/docs/build/metricflow-commands) in the dbt Cloud IDE. To use defer for Semantic layer commands in the IDE, toggle the button on and manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon. From f629385c64e192a0000f2838aee430df6e87ae6f Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Mon, 7 Oct 2024 16:35:58 +0100 Subject: [PATCH 3/4] matt's feedback --- website/docs/docs/build/metricflow-commands.md | 2 +- website/docs/docs/cloud/about-cloud-develop-defer.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/build/metricflow-commands.md b/website/docs/docs/build/metricflow-commands.md index 52457b27f72..29a9e70acd4 100644 --- a/website/docs/docs/build/metricflow-commands.md +++ b/website/docs/docs/build/metricflow-commands.md @@ -29,7 +29,7 @@ In dbt Cloud, run MetricFlow commands directly in the [dbt Cloud IDE](/docs/clou For dbt Cloud CLI users, MetricFlow commands are embedded in the dbt Cloud CLI, which means you can immediately run them once you install the dbt Cloud CLI and don't need to install MetricFlow separately. You don't need to manage versioning because your dbt Cloud account will automatically manage the versioning for you. -Note: The **Defer to staging/production** [toggle](/docs/cloud/about-cloud-develop-defer#defer-in-the-dbt-cloud-ide) button doesn't work with Semantic Layer commands in the dbt Cloud IDE. To use defer for Semantic layer commands in the IDE, toggle the button on and manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon. +Note: The **Defer to staging/production** [toggle](/docs/cloud/about-cloud-develop-defer#defer-in-the-dbt-cloud-ide) button doesn't apply when running Semantic Layer commands in the dbt Cloud IDE. To use defer for Semantic layer commands in the IDE, toggle the button on and manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon. diff --git a/website/docs/docs/cloud/about-cloud-develop-defer.md b/website/docs/docs/cloud/about-cloud-develop-defer.md index 7949cf70f82..3ee5ac71666 100644 --- a/website/docs/docs/cloud/about-cloud-develop-defer.md +++ b/website/docs/docs/cloud/about-cloud-develop-defer.md @@ -41,7 +41,7 @@ To enable defer in the dbt Cloud IDE, toggle the **Defer to production** button For example, if you were to start developing on a new branch with [nothing in your development schema](/reference/node-selection/defer#usage), edit a single model, and run `dbt build -s state:modified` — only the edited model would run. Any `{{ ref() }}` functions will point to the production location of the referenced models. -Note: The **Defer to staging/production** toggle button doesn't work with [dbt Semantic Layer commands](/docs/build/metricflow-commands) in the dbt Cloud IDE. To use defer for Semantic layer commands in the IDE, toggle the button on and manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon. +Note: The **Defer to staging/production** toggle button doesn't apply when running [dbt Semantic Layer commands](/docs/build/metricflow-commands) in the dbt Cloud IDE. To use defer for Semantic layer commands in the IDE, toggle the button on and manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon. From 242e689e91b0d8b449d224398d974bd3d6eec51c Mon Sep 17 00:00:00 2001 From: Kyle Coapman Date: Mon, 7 Oct 2024 13:04:20 -0400 Subject: [PATCH 4/4] initial draft of cloud_cli guide (#6235) ## What are you changing in this pull request and why? This is a net new addition to the docs repo to create a guide for using dbt Cloud CLI! The initial motivation here is to give Coalesce workshop attendees and easy way to access links and code snippets for the workshop. Post coalesce, we can convert this into an evergreen guide that we keep updated with the latest and greatest for dbt Cloud CLI. ## Checklist - [ ] I have reviewed the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. - [ ] The topic I'm writing about is for specific dbt version(s) and I have versioned it according to the [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and/or [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content) guidelines. - [ ] I have added checklist item(s) to this list for anything anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." - [ ] Add and Review all images - [ ] Review all copy for placeholders - [ ] Add and review metadata and logos --------- Co-authored-by: Ly Nguyen Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: ramiz-bozai-dbt <107953458+ramiz-bozai-dbt@users.noreply.github.com> Co-authored-by: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> --- website/docs/guides/qs-cloud-cli.md | 313 ++++++++++++++++++ .../cloud-cli-guide/finder-vscode-check.png | Bin 0 -> 416769 bytes .../cloud-cli-guide/setup-poweruser-01.png | Bin 0 -> 113529 bytes .../cloud-cli-guide/setup-poweruser-02.png | Bin 0 -> 76352 bytes .../cloud-cli-guide/setup-poweruser-03.png | Bin 0 -> 217683 bytes .../cloud-cli-guide/terminal-git-check.png | Bin 0 -> 129410 bytes .../cloud-cli-guide/using-poweruser-01.png | Bin 0 -> 609356 bytes .../cloud-cli-guide/using-poweruser-02.png | Bin 0 -> 405502 bytes .../cloud-cli-guide/using-poweruser-03.png | Bin 0 -> 238303 bytes .../cloud-cli-guide/using-poweruser-04.png | Bin 0 -> 305109 bytes 10 files changed, 313 insertions(+) create mode 100644 website/docs/guides/qs-cloud-cli.md create mode 100644 website/static/img/cloud-cli-guide/finder-vscode-check.png create mode 100644 website/static/img/cloud-cli-guide/setup-poweruser-01.png create mode 100644 website/static/img/cloud-cli-guide/setup-poweruser-02.png create mode 100644 website/static/img/cloud-cli-guide/setup-poweruser-03.png create mode 100644 website/static/img/cloud-cli-guide/terminal-git-check.png create mode 100644 website/static/img/cloud-cli-guide/using-poweruser-01.png create mode 100644 website/static/img/cloud-cli-guide/using-poweruser-02.png create mode 100644 website/static/img/cloud-cli-guide/using-poweruser-03.png create mode 100644 website/static/img/cloud-cli-guide/using-poweruser-04.png diff --git a/website/docs/guides/qs-cloud-cli.md b/website/docs/guides/qs-cloud-cli.md new file mode 100644 index 00000000000..1e2a548114f --- /dev/null +++ b/website/docs/guides/qs-cloud-cli.md @@ -0,0 +1,313 @@ +--- +title: "Coalesce: Quickstart for dbt Cloud CLI" +id: "dbt-cloud-cli" +# time_to_complete: '30 minutes' commenting out until we test +level: 'Beginner' +icon: 'guides' +hide_table_of_contents: true +tags: ['Cloud CLI', 'dbt Cloud','Quickstart'] +recently_updated: true +--- + +
+ +## Introduction + +In this quickstart guide, you'll learn how to configure and use dbt Cloud CLI as part of the Coalesce 24 Workshop. + +It will show you how to: + +- Set up a dbt Cloud sandbox. +- Install the dbt Cloud CLI and connect to dbt Cloud. +- Run commands locally using the dbt Cloud CLI. +- Defer to different production environments. +- Leverage cross-project ref. +- Install dbt Power User. +- Use dbt Power User to supercharge development. + +### Prerequisites​ + +- Familiarity with dbt projects and common commands (for example, `dbt build`) +- Git is installed +- An editor, such as Visual Studio Code (preferred), is installed + +### Related content + +- Learn more with [dbt Learn courses](https://learn.getdbt.com) + +## Install Git and Visual Studio Code (Prerequisites) + +You will need to have Git installed locally and a code editor (preferably Visual Studio Code). + +### Check your installation status + +Run `git --version` in your terminal to check if it's installed. For example: + +
+ +
+ +Check your installed applications for Visual Studio Code (vscode) or another editor. For example: + +
+ +
+ +### Install Git and Visual Studio Code + +Navigate to the following Git installation page and install it for your operating system: + +https://git-scm.com/downloads + +Navigate to the following Visual Studio Code installation page and install it for your operating system. + +https://code.visualstudio.com/download + +## Set up dbt Cloud (Coalesce Workshop Only) + +Let's get set up with a dbt Cloud sandbox that's already connected to a Snowflake account for the workshop. + +1. Go to [bit.ly/coalesce-24-sandboxes](https://bit.ly/coalesce-24-sandboxes) to create an account. Make sure you log out of any other dbt Cloud accounts. + + a. Enter your **First Name** and **Last Name** + + b. For **Workshop**, choose **Test driving dbt Cloud CLI and dbt power user** from the dropdown + + c. The **Passcode** will be provided by your facilitators + + d. Accept the terms and click **Complete Registration** + +1. Navigate to the platform project by selecting **Project** form the left sidebar and choosing **Platform Analytics**. + +1. Select **Deploy >> Runs** to find the created jobs. For each job, click on the job and click **run**. + +1. Now repeat for the **Analytics project**. Toggle into the Analytics project. + +1. Select **Deploy >> Runs** to find the created jobs. For the one job, click on the job and click **run**. + +1. Select **Explore** from the navigation and choose XX. Now you can visualize your dbt Mesh. Click into each project to see project level lineage. + +You've now successfully run your project in deployment environments so you can use cross project ref and deferral later in the workshop. + +## Configure dbt Cloud CLI + +Now we'll clone the project repository and configure dbt Cloud CLI to connect to your sandbox. + +### Clone the repo + +1. Navigate to a folder on your computer to clone the repository. + +1. In your terminal, run the following command to clone the downstream (analytics) project: + + ```shell + git clone https://github.com/dbt-labs/c24-workshops-analytics.git + ``` + +### Install Cloud CLI + +1. In dbt Cloud, select Platform Analytics and choose **Develop >> Configure Cloud CLI**. + +1. Based on your current local setup, use the following guidance to determine your installation approach: + + a. Check if you have dbt in your PATH by running `dbt --version` + + b. If you don't have dbt in your PATH, we recommend the macOS or Windows installation method. + + c. If you do have dbt in your PATH (global environment), we recommend: + 1. Uninstalling dbt globally + 2. Installing dbt Cloud CLI with a Python virtual environment + + d. If you have dbt in a virtual environment, install dbt Cloud CLI with a separate Python virtual environment. Be sure to activate it with `source /bin/activate`. + +1. Download the CLI configuration file from the dbt Cloud UI. Save it in your `.dbt` folder. + +1. Navigate to the dbt project folder that you cloned earlier and open the `dbt_project.yml` file with your `project_id`. + +### Confirm the installation + +Run `dbt compile` to verify your installation. + +There you go! You've installed the dbt Cloud CLI! Let's dive in! + +### Additional resources +Consult the following docs if you run into problems when trying to install the dbt Cloud CLI: +- [Install dbt Cloud CLI](https://docs.getdbt.com/docs/cloud/cloud-cli-installation) +- [Configure and use dbt Cloud CLI](https://docs.getdbt.com/docs/cloud/configure-cloud-cli) + +## Leverage dbt Cloud CLI + +Let's run a few commands together to get comfortable with the dbt Cloud CLI: +* `dbt debug` — Displays your connection details and information +* `dbt compile --select stg_campaigns` — Compiles your dbt project +* `dbt run --select stg_campaigns` — Materialized your dbt models +* `dbt run --select stg_campaigns` — Preview the results of a model +* `dbt test --select stg_campaigns` — Execute tests against your materialized models + +Now let's dive into some more advanced components of dbt Cloud CLI. + +### Deferral + +Deferral is a powerful functionality, allowing you to leverage upstream assets that exist outside of your personal development environment. As a result, you can speed up your development workflows and save on warehouse compute costs. Let's run a few commands using deferral: + +1. Run `dbt compile -s stg_campaigns`. Notice how we're able to resolve dependencies in the compiled SQL without seeding `campaigns.csv`. +1. Now let's modify the `stg_campaigns` model by adding a timestamp: + ```sql + current_timestamp() as updated_at + ``` + + Let's build that model with the next command. +1. Run `dbt build --select stg_campaigns`. We're utilizing deferral and the concept of "statefulness" to check with objects that have been modified and resolve dependencies of upstream assets if they exist. + + By default, the dbt Cloud CLI defers to a [Staging](https://docs.getdbt.com/docs/deploy/deploy-environments#staging-environment) environment if one exists. If not, dbt uses the assets from the Production environment. + + To override which environment the dbt Cloud CLI defers to, you can set a `defer-env-id` key in either your `dbt_project.yml` or `dbt_cloud.yml` file. For example: + + ```yml + dbt-cloud: + defer-env-id: '123456' + ``` + +### dbt Mesh + +You have access to cross-project ref's that's powered by the metadata of dbt Cloud. + +1. Open the `agg_campaign_customer_contacts` model. +1. Find the reference called `{{ ref('platform', 'dim_customers', v=1) }}`. +1. Run the command: + + ```shell + dbt run --select agg_campaign_customer_contacts + ``` + +1. Navigate to dbt Cloud Explorer and find a public model. Let's use the `fct_order_items` model. +1. Create a new model called `agg_orders` in your project with the following code: + + ```sql + with orders as ( + + select * from {{ ref('platform', 'fct_order_items') }} + + ), + + final as ( + + select + customer_key as customer_id, + is_return as return_status, + count(*) as count_orders + + from + orders + group by + customer_key, + is_return + ) + + select * from final + ``` + +### Linting and fixing SQL files + +With SQLFluff built in, you can check your code against a style guide and automatically make fixes. + +1. Run the SQLFluff command `lint`: + + ```shell + dbt sqlfluff lint models/staging/campaigns/stg_campaigns.sql --dialect snowflake + ``` + + This identifies tweaks to make in the `stg_campaigns` model. +2. Run the SQLFluff command `fix`: + + ```shell + dbt sqlfluff fix models/staging/campaigns/stg_campaigns.sql --dialect snowflake + ``` + + This attempts to directly make fixes in the `stg_campaigns` model. + +### Change branches + +You can quickly change branches without fully pushing to your Git provider (such as GitHub): + +```shell +git checkout -b my-new-branch + +git checkout main +``` + +Now you've taken a tour of what you can do with dbt Cloud CLI. Let's dive into dbt Power User next. + +## Install dbt Power User + +Let's get dbt Power User installed to supercharge our workflow. + +1. From Visual Studio Code, click on extensions and search for "Power User for dbt". + +
+ +
+1. Click on install. +1. Click **Switch to dbt Cloud**. You might need to refresh. +
+ +
+1. Complete the setup steps. (click on welcome in VSCode and choose dbt Poweruser) +
+ +
+1. Make an account to sign up and get an API Key: https://app.myaltimate.com/register + +1. Copy your API key and enter this into the dbt Power User extension settings. + +Now let's dive in! + +## Leverage dbt Power User + +There is a ton you can do to supercharge your workflow with dbt Cloud. Let's cover some highlights. + +### Preview your upstream/downstream changes + +Open the Power User extension on the left-hand side. You can see the upstream and downstream projects. + +
+ +
+ +### Preview results + +Press Command-Enter (or Control-Enter for Windows) and instantly see the results of your model below. + +
+ +
+ +### SQL visualization + +While looking at a model file, click the Altimate logo in the top right and click **Visualize SQL** to see a breakdown of your SQL model. + +
+ +
+ +### Generate test and documentation YML with user-friendly UX and AI + +At the top of your model file, click on generate documentation for a UI to rapidly create documentation and tests with AI + +
+ +
+ +There is a whole lot more too! Check out the dbt Power User docs here: https://docs.myaltimate.com/ + +## Conclusion + +You've successfully installed dbt Cloud CLI and dbt Power User! Now you can get the benefits of local development _and_ dbt Cloud working together. + +Be on the look out for the following enhancements to dbt Cloud CLI: +- Deeper integration with dbt Explorer for visual interaction +- Support for invoking production jobs directly from the CLI +- Continued optimization for performance and scalability improvements + +
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