From 8360490bee5ea5851247b06c9a2e9aa6c2f3552e Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Fri, 24 Jan 2025 10:37:10 +0000 Subject: [PATCH 01/29] update lifecycle component --- website/docs/docs/introduction.md | 10 +++ website/src/components/expandable/index.js | 59 +++++++++-------- website/src/components/lifeCycle/index.js | 64 ++++++++++++++++--- .../components/lifeCycle/styles.module.css | 17 ++++- 4 files changed, 111 insertions(+), 39 deletions(-) diff --git a/website/docs/docs/introduction.md b/website/docs/docs/introduction.md index 5301dae396d..e160d83fdbc 100644 --- a/website/docs/docs/introduction.md +++ b/website/docs/docs/introduction.md @@ -5,9 +5,19 @@ pagination_next: null pagination_prev: null --- +# Test + dbt compiles and runs your analytics code against your data platform, enabling you and your team to collaborate on a single source of truth for metrics, insights, and business definitions. This single source of truth, combined with the ability to define tests for your data, reduces errors when logic changes, and alerts you when issues arise. +- Test text here blah blah blah +- Test text here blah blah blah + + + + test + + diff --git a/website/src/components/expandable/index.js b/website/src/components/expandable/index.js index 3cf87b3cd34..6abc84cf0fd 100644 --- a/website/src/components/expandable/index.js +++ b/website/src/components/expandable/index.js @@ -10,7 +10,7 @@ function slugify(text) { .replace(/[\u0300-\u036f]/g, '') // remove diacritics .replace(/\s+/g, '-') // replace spaces with - .replace(/[^\w\-]+/g, '') // remove all non-word chars - .replace(/\-\-+/g, '-') // replace multipl - with a single - + .replace(/\-\-+/g, '-') // replace multiple - with a single - .replace(/^-+/, '') // trim - from the start .replace(/-+$/, ''); // trim - from the end } @@ -39,43 +39,46 @@ function Expandable({ children, alt_header = null, lifecycle }) { popup.classList.add('copy-popup'); popup.innerText = 'Link copied!'; - // Add close button ('x') - const closeButton = document.createElement('span'); - closeButton.classList.add('close-button'); - closeButton.innerHTML = ' ×'; // '×' symbol for 'x' - closeButton.addEventListener('click', () => { - if (document.body.contains(popup)) { - document.body.removeChild(popup); - } - }); - popup.appendChild(closeButton); + // Add close button ('x') + const closeButton = document.createElement('span'); + closeButton.classList.add('close-button'); + closeButton.innerHTML = ' ×'; // '×' symbol for 'x' + closeButton.addEventListener('click', () => { + if (document.body.contains(popup)) { + document.body.removeChild(popup); + } + }); + popup.appendChild(closeButton); - document.body.appendChild(popup); + document.body.appendChild(popup); - setTimeout(() => { - if (document.body.contains(popup)) { - document.body.removeChild(popup); - } - }, 3000); -}; + setTimeout(() => { + if (document.body.contains(popup)) { + document.body.removeChild(popup); + } + }, 3000); + }; -useEffect(() => { - if (window.location.hash === `#${anchorId}`) { - setOn(true); - const element = document.getElementById(anchorId); - if (element) { - element.scrollIntoView({ behavior: 'smooth' }); + useEffect(() => { + if (window.location.hash === `#${anchorId}`) { + setOn(true); + const element = document.getElementById(anchorId); + if (element) { + element.scrollIntoView({ behavior: 'smooth' }); + } } - } -}, [anchorId]); + }, [anchorId]); return ( -
+
  - {alt_header} + {alt_header} + e.stopPropagation()}> + +
diff --git a/website/src/components/lifeCycle/index.js b/website/src/components/lifeCycle/index.js index 200c948109c..a157c1ed6ec 100644 --- a/website/src/components/lifeCycle/index.js +++ b/website/src/components/lifeCycle/index.js @@ -1,4 +1,6 @@ -import React from 'react' +/* eslint-disable */ + +import React from 'react'; import styles from './styles.module.css'; const statusColors = { @@ -12,14 +14,26 @@ const statusColors = { }; const fontColors = { - enterprise: '#262A38', - team: '#262A38', - developer: '#262A38', - // lifecycle statuses use the css determined font color (white) - }; + enterprise: '#262A38', + team: '#262A38', + developer: '#262A38', + preview: '#ffff', + beta: '#ffff', + ga: '#ffff', +}; + +// URL mapping for predefined lifecycle statuses +const statusUrls = { + enterprise: 'https://www.getdbt.com/pricing', + team: 'https://www.getdbt.com/pricing', + developer: 'https://www.getdbt.com/signup', + beta: 'https://docs.getdbt.com/docs/dbt-versions/product-lifecycles', + preview: 'https://docs.getdbt.com/docs/dbt-versions/product-lifecycles', + ga: 'https://docs.getdbt.com/docs/dbt-versions/product-lifecycles', +}; export default function Lifecycle(props) { - const statuses = props.status?.split(',') + const statuses = props.status?.split(','); if (!props.status || !statuses?.length) { return null; } @@ -27,13 +41,43 @@ export default function Lifecycle(props) { return ( <> {statuses.map((status, index) => { + const isKnownStatus = Object.prototype.hasOwnProperty.call(statusColors, status); + const url = isKnownStatus ? statusUrls[status] || props.customUrl || null : null; + const style = { - backgroundColor: props.backgroundColor || statusColors[status] || '#047377', // default to teal if no match - color: fontColors[status] || '#fff' // default font color if no matc + backgroundColor: props.backgroundColor || statusColors[status] || '#d3d3d3', // Default gray for unknown status + color: fontColors[status] || '#000', // Default black for unknown status + cursor: url ? 'pointer' : 'default', // Non-clickable for unknown status + transition: 'background-color 0.2s ease, transform 0.2s ease, text-decoration 0.2s ease', + padding: '5px 10px', + borderRadius: '16px', + textDecoration: url ? 'underline' : 'none', // Underline for clickable pills only }; + // Render a clickable pill for known statuses with a URL + if (url) { + return ( + + {status} + + ); + } + + // Render a static pill for unknown or unlinked statuses return ( - + {status} ); diff --git a/website/src/components/lifeCycle/styles.module.css b/website/src/components/lifeCycle/styles.module.css index d7c0661d932..fdd016dff67 100644 --- a/website/src/components/lifeCycle/styles.module.css +++ b/website/src/components/lifeCycle/styles.module.css @@ -5,11 +5,26 @@ font-weight: 600; /* Normal font weight */ padding: 1px 8px; /* Adjust padding for a more pill-like shape */ border-radius: 16px; /* Larger border-radius for rounded edges */ - margin-left: 8px; /* Margin to separate from the header text */ + margin-left: 16px; /* Margin to separate from the header text */ vertical-align: middle; /* Align with the title */ display: inline-block; /* Use inline-block for better control */ text-transform: capitalize; /* Uppercase text */ line-height: 1.6; /* Adjust line height for vertical alignment */ + text-decoration: none; /* No underline by default */ + transition: background-color 0.2s ease, transform 0.2s ease, text-decoration 0.2s ease; + cursor: pointer; } +.lifecycle:hover { + background-color: #EBEDF0; + color: #e3f2fd; + text-decoration: underline; + box-shadow: 0px 4px 6px rgba(0, 0, 0, 0.2); + transform: scale(1.09); /* Slightly enlarge the pill */ +} + +.lifecycle:focus { + outline: 2px solid #EBEDF0; /* Focus outline for accessibility */ + outline-offset: 2px; +} From 77ca2ac891a149a77f068664a4f0bf93cd980db4 Mon Sep 17 00:00:00 2001 From: AndyHunt66 Date: Tue, 28 Jan 2025 13:16:19 +0000 Subject: [PATCH 02/29] Update dremio-setup.md The sentence "See Support Keys in the Dremio documentation for the steps." makes no sense in this context. There is nothing on this page that requires the setting of a support key, apart from if you're using a PAT and haven't yet set up your Dremio system to use PATs, and even then, the wrong page is linked to. --- website/docs/docs/core/connect-data-platform/dremio-setup.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/core/connect-data-platform/dremio-setup.md b/website/docs/docs/core/connect-data-platform/dremio-setup.md index 7ac304bba2b..9c1f609e246 100644 --- a/website/docs/docs/core/connect-data-platform/dremio-setup.md +++ b/website/docs/docs/core/connect-data-platform/dremio-setup.md @@ -37,7 +37,6 @@ Before connecting from project to Dremio Cloud, follow these prerequisite steps: * Ensure that you are using version 22.0 or later. * Ensure that Python 3.9.x or later is installed on the system that you are running dbt on. - See Support Keys in the Dremio documentation for the steps. * If you want to use TLS to secure the connection between dbt and Dremio Software, configure full wire encryption in your Dremio cluster. For instructions, see Configuring Wire Encryption. From 3ee1148208e660e83d80aaeb3f5fb5099eb0c3d2 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 28 Jan 2025 16:23:56 +0000 Subject: [PATCH 03/29] clarify gitlab token refresh behavior this pr clarifies gitlab token refresh behavior Resolves #6830 --- website/docs/docs/cloud/git/connect-gitlab.md | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/git/connect-gitlab.md b/website/docs/docs/cloud/git/connect-gitlab.md index d16cdb15b8e..adcba09aa9c 100644 --- a/website/docs/docs/cloud/git/connect-gitlab.md +++ b/website/docs/docs/cloud/git/connect-gitlab.md @@ -10,7 +10,14 @@ Connecting your GitLab account to dbt Cloud provides convenience and another lay - Clone repos using HTTPS rather than SSH. - Carry GitLab user permissions through to dbt Cloud or dbt Cloud CLI's git actions. - Trigger [Continuous integration](/docs/deploy/continuous-integration) builds when merge requests are opened in GitLab. - - GitLab automatically registers a webhook in your GitLab repository to enable seamless integration with dbt Cloud. + +:::info +When configuring the repository in dbt Cloud, GitLab automatically: +- Registers a webhook, which triggers pipeline jobs in dbt Cloud. +- Creates a [project access token](https://docs.gitlab.com/ee/user/project/settings/project_access_tokens.html) in your GitLab repository, which is used to send the job run status back to Gitlab using the dbt Cloud API for CI Jobs. dbt Cloud automatically refereshes this project access token for you, meaning you never have to manually rotate the token and cause pipeline disruptions. + +If you experience any token refresh errors, please try disconnecting and reconnecting the repository in dbt Cloud to refresh the token. +::: The steps to integrate GitLab in dbt Cloud depend on your plan. If you are on: - the Developer or Team plan, read these [instructions](#for-dbt-cloud-developer-and-team-tiers). From 30aa8759ec27f690f4d2e0be15c7cead8a54ced8 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 28 Jan 2025 16:56:32 +0000 Subject: [PATCH 04/29] Update connect-gitlab.md simplify and add faq --- website/docs/docs/cloud/git/connect-gitlab.md | 15 +++++++++++++-- 1 file changed, 13 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/cloud/git/connect-gitlab.md b/website/docs/docs/cloud/git/connect-gitlab.md index adcba09aa9c..efd961141f6 100644 --- a/website/docs/docs/cloud/git/connect-gitlab.md +++ b/website/docs/docs/cloud/git/connect-gitlab.md @@ -14,9 +14,9 @@ Connecting your GitLab account to dbt Cloud provides convenience and another lay :::info When configuring the repository in dbt Cloud, GitLab automatically: - Registers a webhook, which triggers pipeline jobs in dbt Cloud. -- Creates a [project access token](https://docs.gitlab.com/ee/user/project/settings/project_access_tokens.html) in your GitLab repository, which is used to send the job run status back to Gitlab using the dbt Cloud API for CI Jobs. dbt Cloud automatically refereshes this project access token for you, meaning you never have to manually rotate the token and cause pipeline disruptions. +- Creates a [project access token](https://docs.gitlab.com/ee/user/project/settings/project_access_tokens.html) in your GitLab repository, which sends the job run status back to Gitlab using the dbt Cloud API for CI jobs. dbt Cloud automatically refereshes this project access token for you, which means you never have to manually rotate the token. + -If you experience any token refresh errors, please try disconnecting and reconnecting the repository in dbt Cloud to refresh the token. ::: The steps to integrate GitLab in dbt Cloud depend on your plan. If you are on: @@ -130,3 +130,14 @@ Once you approve authorization, you will be redirected to dbt Cloud, and you sho + + +When you connect dbt Cloud to a GitLab repository, GitLab automatically creates a [project access token](https://docs.gitlab.com/ee/user/project/settings/project_access_tokens.html) in your GitLab repository in the background. This sends the job run status back to Gitlab using the dbt Cloud API for CI jobs. + +If you're recieving a "Refresh token" message, don't worry — dbt Cloud automatically refereshes this project access token for you, which means you never have to manually rotate the token. + +If you still experience any token refresh errors, please try disconnecting and reconnecting the repository in dbt Cloud to refresh the token. + +For any issues, pleasereach out to the Support team at support@getdbt.com and we'll be happy to help! + + From 77b4edd47845f48b4bb6ae75d1f497cff13e20a2 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Tue, 28 Jan 2025 12:06:03 -0500 Subject: [PATCH 05/29] Updating SSO migration (#6838) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## What are you changing in this pull request and why? Updating the migration guide based on customer feedback ## 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." - [ ] The content in this PR requires a dbt release note, so I added one to the [release notes page](https://docs.getdbt.com/docs/dbt-versions/dbt-cloud-release-notes). --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-sso-update-dbt-labs.vercel.app/docs/cloud/manage-access/auth0-migration --------- Co-authored-by: nataliefiann <120089939+nataliefiann@users.noreply.github.com> --- .../cloud/manage-access/auth0-migration.md | 14 +++++++++++--- .../access-control/entra-id-saml.png | Bin 102365 -> 101717 bytes .../dbt-cloud/access-control/sso-uris.png | Bin 0 -> 192165 bytes 3 files changed, 11 insertions(+), 3 deletions(-) create mode 100644 website/static/img/docs/dbt-cloud/access-control/sso-uris.png diff --git a/website/docs/docs/cloud/manage-access/auth0-migration.md b/website/docs/docs/cloud/manage-access/auth0-migration.md index f961201e153..859e47cd017 100644 --- a/website/docs/docs/cloud/manage-access/auth0-migration.md +++ b/website/docs/docs/cloud/manage-access/auth0-migration.md @@ -19,19 +19,27 @@ Alternatively, you can start the process from the **Settings** page in the **Sin -There are two fields in these settings that you will need for the migration: +:::warning vanity urls + +Don't use vanity URLs when configuring the SSO settings. You need to use the generic URL provided in the SSO settings for your environment. For example, if your vanity URL is `cloud.MY_COMPANY.getdbt.com`, configure `auth.cloud.getdbt.com` as ``. + +::: + +There are two fields in the SSO settings that you need for the migration: - **Single sign-on URL:** This will be in the format of your login URL `https:///login/callback?connection=` - **Audience URI (SP Entity ID):** This will be in the format `urn:auth0::` Replace `` with your accounts login slug. + + Once you have opted to begin the migration process, the following steps will vary depending on the configured identity provider. You can just skip to the section that's right for your environment. These steps only apply to customers going through the migration; new setups will use the existing [setup instructions](/docs/cloud/manage-access/sso-overview). :::warning Login \{slug\} Slugs should contain only letters, numbers, and dashes. Make sure to remove underscores (if they exist) from login slugs: -* before migrating on the **Account Settings** page, or -* while migrating (before enabling), as shown in the Migrate authentication screenshots for your respective setup. +* Before migrating on the **Account Settings** page, or +* While migrating (before enabling), as shown in the migrate authentication screenshots for your respective setup. After changing the slug, admins must share the new login URL with their dbt Cloud users. ::: diff --git a/website/static/img/docs/dbt-cloud/access-control/entra-id-saml.png b/website/static/img/docs/dbt-cloud/access-control/entra-id-saml.png index 01ab65cef2745e0a0714c33d9e62f2bb1e0313a0..50e21fb1ac2142770a1143180edc62d1d64411dc 100644 GIT binary patch delta 66629 zcmeFZWmHsc8$U`6jnXBJbP6gR14yTIcL+$g#3n>ax}}ls?hZjxy1TnOJe%iz-uHjj z`Fzf|v({cLm|-?EcU!Ye-)B%-U4fFyAyU;2kj%_1TOg z$@8rg?fF*Av?ODC2C{Gak8Y=-$!7P^Pq#P@@H(WzNeHHWDYI2#38lKa4KY8AN1{+3|Ra)Sm$+Ak`VOj?Uo*PEgz>!w2dlN zI7Kqrb!rdbqZpKFBRE!Gu?a%r1-0a5T-AAx!j{Zfhh{{!yv@i;V_;As{~s5$9P3RS z#arHux@*M=Um3 zIO(~Cp|Ykcjvn50)H=X;)wMZLa{2UlcTchrpv_)_?Ed!=xPDOkO3{89$~J{rq+W)N zT>G+47qfnv@s+6Tiz0{9>amu48EGuPwLIA*=0de1T8Hi7!@W=LXW|WF=gxAOH(G6m zEsVte8&?|4r7vH#4>p);e{(ppBD#3&k7Ek&=db@W*Xq?Y{gY}5HCBo)oZNK~UJS7~ z%7`g}O~3YNh)Ju)QcT$|Lx=w6Au5^6_BLjyKW5+)hSgLt7V?*4x!TW5pJ_JV;nGiu zm&SbTzy%_){zzl$Px{dWMTTIaqEO?(wWiL~#Z_&%Q(M53~~j9yTNiv%Bd-a5SS3Vod~@K-Sdb 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zIseTTILVrH)zQJ$>|dR5-{mLx@Vnqe^PlJX+f)DkLb{VMwW5(qV(|KZoEq9PX$#5K z0Gv=UlTzlQSx$T(_`ezQ$2sEty>Wwr;J@vR1HP4HVI(0K=R}J`|0vQw4kSQ7 zNj!LXj{d;k&)hHfner3qn_P}E@_bK!dCQMK^iAG=V`tu``meuMEPYdQRYpnh^?&;{ z-+Inqb-8w#Tn7$eiT^k=GNfTC_e|77UKR4a_)otoolMQP#qOVd)iHVR!h!!L0sGS` zDto5lu!!n^-2cxn1-JVCr*VRtKO8>HOr30Y>_1LTwDc*tc3B3J|M)ecg-gn`ud^`B hl>hPFn1YY&P^==Vn#9eOR1ScDH)RyB=Uz2@^nW!bMEw8& literal 0 HcmV?d00001 From 24ce3f53a62070ef575321d2d5847645f5cd7630 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 28 Jan 2025 17:45:55 +0000 Subject: [PATCH 06/29] Update website/docs/docs/cloud/git/connect-gitlab.md --- website/docs/docs/cloud/git/connect-gitlab.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/git/connect-gitlab.md b/website/docs/docs/cloud/git/connect-gitlab.md index efd961141f6..67fe83b537c 100644 --- a/website/docs/docs/cloud/git/connect-gitlab.md +++ b/website/docs/docs/cloud/git/connect-gitlab.md @@ -14,7 +14,7 @@ Connecting your GitLab account to dbt Cloud provides convenience and another lay :::info When configuring the repository in dbt Cloud, GitLab automatically: - Registers a webhook, which triggers pipeline jobs in dbt Cloud. -- Creates a [project access token](https://docs.gitlab.com/ee/user/project/settings/project_access_tokens.html) in your GitLab repository, which sends the job run status back to Gitlab using the dbt Cloud API for CI jobs. dbt Cloud automatically refereshes this project access token for you, which means you never have to manually rotate the token. +- Creates a [project access token](https://docs.gitlab.com/ee/user/project/settings/project_access_tokens.html) in your GitLab repository, which sends the job run status back to Gitlab using the dbt Cloud API for CI jobs. dbt Cloud automatically refreshes this project access token for you, which means you never have to manually rotate the token. Check out the [FAQs](#faqs) for more info. ::: From 701238a833b82f227c6b4c4296548ba7c86e13b5 Mon Sep 17 00:00:00 2001 From: faithebear <149540831+faithebear@users.noreply.github.com> Date: Tue, 28 Jan 2025 11:15:27 -0700 Subject: [PATCH 07/29] Update snapshots.md snapshots don't have to go in the snapshots folder now --- website/docs/docs/build/snapshots.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/snapshots.md b/website/docs/docs/build/snapshots.md index b754639c01b..b7ba30b9c7e 100644 --- a/website/docs/docs/build/snapshots.md +++ b/website/docs/docs/build/snapshots.md @@ -46,7 +46,7 @@ This order is now in the "shipped" state, but we've lost the information about w -Configure your snapshots in YAML files to tell dbt how to detect record changes. Define snapshots configurations in YAML files, alongside your models, for a cleaner, faster, and more consistent set up. +Configure your snapshots in YAML files to tell dbt how to detect record changes. Define snapshots configurations in YAML files, alongside your models, for a cleaner, faster, and more consistent set up. Snapshot YAML files may be placed in the models directory or in a snapshots directory. From 4c0b00c795d72ff1e5043a572ccb7e31d1291fef Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 28 Jan 2025 13:24:05 -0500 Subject: [PATCH 08/29] update biweekly to monthly --- website/docs/docs/get-started-dbt.md | 2 +- website/docusaurus.config.js | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/docs/get-started-dbt.md b/website/docs/docs/get-started-dbt.md index 1920a9b3da2..32d96e9d3c4 100644 --- a/website/docs/docs/get-started-dbt.md +++ b/website/docs/docs/get-started-dbt.md @@ -95,7 +95,7 @@ Learn more about [dbt Cloud features](/docs/cloud/about-cloud/dbt-cloud-feature Expand your dbt knowledge and expertise with these additional resources: -- [Join the bi-weekly demos](https://www.getdbt.com/resources/webinars/dbt-cloud-demos-with-experts) to see dbt Cloud in action and ask questions. +- [Join the monthly demos](https://www.getdbt.com/resources/webinars/dbt-cloud-demos-with-experts) to see dbt Cloud in action and ask questions. - [dbt Cloud AWS marketplace](https://aws.amazon.com/marketplace/pp/prodview-tjpcf42nbnhko) contains information on how to deploy dbt Cloud on AWS, user reviews, and more. - [Best practices](https://docs.getdbt.com/best-practices) contains information on how dbt Labs approaches building projects through our current viewpoints on structure, style, and setup. - [dbt Learn](https://learn.getdbt.com) offers free online courses that cover dbt fundamentals, advanced topics, and more. diff --git a/website/docusaurus.config.js b/website/docusaurus.config.js index 29ce2022e20..628cde9f63a 100644 --- a/website/docusaurus.config.js +++ b/website/docusaurus.config.js @@ -71,8 +71,8 @@ var siteSettings = { //debug: true, }, announcementBar: { - id: "biweekly-demos", - content: "Join our biweekly demos and see dbt Cloud in action!", + id: "monthly-demos", + content: "Join our monthly demos and see dbt Cloud in action!", backgroundColor: "#047377", textColor: "#fff", isCloseable: true, From 60c42a75aa46e58eef8477bbfb10e4b11a4575e1 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 28 Jan 2025 18:25:08 +0000 Subject: [PATCH 09/29] Update website/docs/docs/build/snapshots.md --- website/docs/docs/build/snapshots.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/snapshots.md b/website/docs/docs/build/snapshots.md index b7ba30b9c7e..f2a9e967cf3 100644 --- a/website/docs/docs/build/snapshots.md +++ b/website/docs/docs/build/snapshots.md @@ -46,7 +46,7 @@ This order is now in the "shipped" state, but we've lost the information about w -Configure your snapshots in YAML files to tell dbt how to detect record changes. Define snapshots configurations in YAML files, alongside your models, for a cleaner, faster, and more consistent set up. Snapshot YAML files may be placed in the models directory or in a snapshots directory. +Configure your snapshots in YAML files to tell dbt how to detect record changes. Define snapshots configurations in YAML files, alongside your models, for a cleaner, faster, and more consistent set up. Place snapshot YAML files in the models directory or in a snapshots directory. From 3709fb2de908fe6dd2333d847171cce4ed70bedd Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Tue, 28 Jan 2025 13:34:16 -0500 Subject: [PATCH 10/29] Rearranging ADO page (#6826) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## What are you changing in this pull request and why? ~This moves around some sections and brings the full Service User instructions back. This is a bandaid for some clients between worlds and utilizes two H1 headers. I know this is a little outside our style requirements, but this would be helpful.~ Splits the ADO setup into two docs - one for service principal one for service user Updates the intro page to link to the appropriate files There is a banner up top that is new language in need of review ## 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." - [ ] The content in this PR requires a dbt release note, so I added one to the [release notes page](https://docs.getdbt.com/docs/dbt-versions/dbt-cloud-release-notes). --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-ado-updates-dbt-labs.vercel.app/docs/cloud/git/connect-azure-devops - https://docs-getdbt-com-git-ado-updates-dbt-labs.vercel.app/docs/cloud/git/setup-azure-service-principal - https://docs-getdbt-com-git-ado-updates-dbt-labs.vercel.app/docs/cloud/git/setup-azure-service-user --------- Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> --- .../docs/cloud/git/connect-azure-devops.md | 14 +- .../git/setup-azure-service-principal.md | 184 ++++++++++++++++++ ...p-azure.md => setup-azure-service-user.md} | 181 +++++++---------- website/sidebars.js | 3 +- .../snippets/_git-providers-supporting-ci.md | 2 +- website/vercel.json | 5 + 6 files changed, 268 insertions(+), 121 deletions(-) create mode 100644 website/docs/docs/cloud/git/setup-azure-service-principal.md rename website/docs/docs/cloud/git/{setup-azure.md => setup-azure-service-user.md} (66%) diff --git a/website/docs/docs/cloud/git/connect-azure-devops.md b/website/docs/docs/cloud/git/connect-azure-devops.md index f3bb07a12d0..49920cc90e1 100644 --- a/website/docs/docs/cloud/git/connect-azure-devops.md +++ b/website/docs/docs/cloud/git/connect-azure-devops.md @@ -1,7 +1,7 @@ --- title: "Connect to Azure DevOps" id: "connect-azure-devops" -pagination_next: "docs/cloud/git/setup-azure" +pagination_next: "docs/cloud/git/setup-service-principal" --- # Connect to Azure DevOps @@ -20,12 +20,10 @@ Connect your Azure DevOps cloud account in dbt Cloud to unlock new product exper - Trigger Continuous integration (CI) builds when pull requests are opened in Azure DevOps. -To connect Azure DevOps in dbt Cloud: +Currently, there are multiple methods for integrating Azure DevOps with dbt Cloud: -1. An Entra ID admin role (or role with proper permissions) needs to [set up an Active Directory application](/docs/cloud/git/setup-azure#register-an-azure-ad-app). -2. An Azure DevOps admin needs to [connect the accounts](/docs/cloud/git/setup-azure#connect-azure-devops-to-your-new-app). -3. A dbt Cloud account admin needs to [add the app to dbt Cloud](/docs/cloud/git/setup-azure#add-your-azure-ad-app-to-dbt-cloud). -4. dbt Cloud developers need to [personally authenticate with Azure DevOps](/docs/cloud/git/authenticate-azure) from dbt Cloud. +- [**Service principal (recommended)**](/docs/cloud/git/setup-service-principal): Currently, this feature is in a phased rollout and not widely available to all accounts. +- [**Service user (legacy)**](/docs/cloud/git/setup-service-user): Available to all accounts. +- [**Service user to service principal migration**](/docs/cloud/git/setup-service-principal#migrate-to-service-principal): Once the **Service principal** option is available, you can migrate to the new service. - -If you're a Business Critical customer using [IP restrictions](/docs/cloud/secure/ip-restrictions), ensure you've added the appropriate Azure DevOps CIDRs to your IP restriction rules, or else the Azure DevOps connection will fail. +No matter which approach you take, you will need admins for dbt Cloud, Azure Entra ID, and Azure DevOps to complete the integration. For more information, follow the setup guide that's right for you. diff --git a/website/docs/docs/cloud/git/setup-azure-service-principal.md b/website/docs/docs/cloud/git/setup-azure-service-principal.md new file mode 100644 index 00000000000..55147bb66b1 --- /dev/null +++ b/website/docs/docs/cloud/git/setup-azure-service-principal.md @@ -0,0 +1,184 @@ +--- +title: "Set up Azure DevOps" +id: "setup-service-principal" +description: "You can set up your Azure DevOps by creating a Microsoft Entra ID app and adding it to dbt Cloud." +sidebar_label: "Set up service principal" +--- + +# Set up Azure DevOps + +## Service principal overview + +:::note + +You can use these instructions to create a service principal app. The service principal feature is being gradually rolled out to dbt Cloud accounts, so it may not be available in all accounts. + +If you need to configure dbt Cloud and Azure DevOps but don't see the **Service principal** option in your account settings, use the [**Service user**](/docs/cloud/git/setup-service-user) configuration for now. You can easily [migrate to a service principal](#migrate-to-service-principal) when available for your account. + +::: + +To use dbt Cloud's native integration with Azure DevOps, an account admin needs to set up a Microsoft Entra ID app as a service principal. We recommend setting up a separate [Entra ID application than used for SSO](/docs/cloud/manage-access/set-up-sso-microsoft-entra-id). + +The application's service principal represents the Entra ID application object. While a "service user" represents a real user in Azure with an Entra ID (and an applicable license), the "service principal" is a secure identity used by an application to access Azure resources unattended. The service principal authenticates with a client ID and secret rather than a username and password (or any other form of user auth). Service principals are the [Microsoft recommended method](https://learn.microsoft.com/en-us/entra/architecture/secure-service-accounts#types-of-microsoft-entra-service-accounts) for authenticating apps. + + +1. [Register an Entra ID app](#register-a-microsoft-entra-id-app). +2. [Connect Azure DevOps to your new app](#connect-azure-devops-to-your-new-app). +3. [Add your Entra ID app to dbt Cloud](#add-your-azure-ad-app-to-dbt-cloud). + +Once the Microsoft Entra ID app is added to dbt Cloud, it will act as a [service principal](https://learn.microsoft.com/en-us/entra/identity-platform/app-objects-and-service-principals?tabs=browser), which will be used to power headless actions in dbt Cloud such as deployment runs and CI. The dbt Cloud developers can then personally authenticate in dbt Cloud from Azure DevOps. For more, see [Authenticate with Azure DevOps](/docs/cloud/git/authenticate-azure). + +The following personas are required to complete the steps on this page: +- Microsoft Entra ID admin +- Azure DevOps admin +- dbt Cloud account admin +- Azure admin (if your Entra ID and Azure DevOps environments are not connected) + +## Register a Microsoft Entra ID app + +A Microsoft Entra ID admin needs to perform the following steps: + +1. Sign into your Azure portal and click **Microsoft Entra ID**. +2. Select **App registrations** in the left panel. +3. Select **New registration**. The form for creating a new Entra ID app opens. +4. Provide a name for your app. We recommend using, "dbt Labs Azure DevOps app". +5. Select **Accounts in any organizational directory (Any Entra ID directory - Multitenant)** as the Supported Account Types. +Many customers ask why they need to select Multitenant instead of Single Tenant, and they frequently get this step wrong. Microsoft considers Azure DevOps (formerly called Visual Studio) and Microsoft Entra ID separate tenants, and for the Entra ID application to work properly, you must select Multitenant. +6. Click **Register**. + +Here's what your app should look like before registering it: + + + +## Create a client secret + +A Microsoft Entra ID admin needs to complete the following steps: + +1. Navigate to **Microsoft Entra ID**, click **App registrations**, and click on your app. +2. Select **Certificates and Secrets** from the left navigation panel. +3. Select **Client secrets** and click **New client secret** +4. Give the secret a description and select the expiration time. Click **Add**. +5. Copy the **Value** field and securely share it with the dbt Cloud account admin, who will complete the setup. + +## Create the app's service principal + +After you've created the app, you need to verify whether it has a service principal. In many cases, if this has been configured before, new apps will get one assigned upon creation. + +1. Navigate to **Microsoft Entra ID**. +2. Under **Manage** on the left-side menu, click **App registrations**. +3. Click the app for the dbt Cloud and Azure DevOps integration. +4. Locate the **Managed application in local directory** field and, if it has the option, click **Create Service Principal**. If the field is already populated, a service principal has already been assigned. + + + +## Add permissions to your service principal + +An Entra ID admin needs to provide your new app access to Azure DevOps: + +1. Select **API permissions** in the left navigation panel. +2. Remove the **Microsoft Graph / User Read** permission. +3. Click **Add a permission**. +4. Select **Azure DevOps**. +5. Select the **user_impersonation** permission. This is the only permission available for Azure DevOps. + +## Add a role to service principal + +This section will require an Azure admin to complete. + +To add a role to your service principal: +1. In your Azure account, navigate to **Subscriptions** and select an existing subscription. +2. From the left-side menu, click **Access Control (IAM)** -> **Add** -> **Add role assignment**. +3. From the **Role** tab, select a role with appropriate permissions to assign the service principal. +4. Continue to the **Members** tab and assign access to **User, group, or service principal**. +5. Click ***Select members** and find your app in the search bar. +6. Once your app has been selected, click **Review and Assign**. + +## Connect Azure DevOps to your new app + +An Azure admin will need one of the following permissions in both the Microsoft Entra ID and Azure DevOps environments: +- Azure Service Administrator +- Azure Co-administrator + +:::note + +You can only add a managed identity or service principal for the tenant to which your organization is connected. You need to add a directory to your organization so that it can access all the service principals and other identities. +Navigate to **Organization settings** --> **Microsoft Entra** --> **Connect Directory** to connect. + +::: + +1. From your Azure DevOps account organization screen, click **Organization settings** in the bottom left. +2. Under **General** settings, click **Users**. +3. Click **Add users**, and in the resulting panel, enter the service principal's name in the first field. Then, click the name when it appears below the field. +4. In the **Add to projects** field, click the boxes for any projects you want to include (or select all). +5. Set the **Azure DevOps Groups** to **Project Administrator**. + + + +## Connect your Microsoft Entra ID app to dbt Cloud + +A dbt Cloud account admin must take the following actions. + +Once you connect your Microsoft Entra ID app and Azure DevOps, you must provide dbt Cloud information about the app. If this is a first-time setup, you will create a new configuration. If you are [migrating from a service user](#migrate-to-service-principal), you can edit an existing configuration and change it to **Service principal**. + + +To create the configuration: +1. Navigate to your account settings in dbt Cloud. +2. Select **Integrations**. +3. Scroll to the Azure DevOps section and click the **Edit icon**. +4. Select the **Service principal** option (service user configurations will auto-complete the fields, if applicable). +5. Complete/edit the form (if you are migrating, the existing configurations carry over): + - **Azure DevOps Organization:** Must match the name of your Azure DevOps organization exactly. Do not include the `dev.azure.com/` prefix in this field. ✅ Use `my-DevOps-org` ❌ Avoid `dev.azure.com/my-DevOps-org` + - **Application (client) ID:** Found in the Microsoft Entra ID app. + Client Secrets: Copy the **Value** field in the Microsoft Entra ID app client secrets and paste it into the **Client Secret** field in dbt Cloud. Entra ID admins are responsible for the expiration of the app secret, and dbt Admins should note the expiration date for rotation. + - **Directory(tenant) ID:** Found in the Microsoft Entra ID app. + + +Your Microsoft Entra ID app should now be added to your dbt Cloud Account. People on your team who want to develop in the dbt Cloud IDE or dbt Cloud CLI can now personally [authorize Azure DevOps from their profiles](/docs/cloud/git/authenticate-azure). + + +## Migrate to service principal + +Migrate from a service user to a service principal using the existing app. It will only take a few steps, and you won't experience any service disruptions. + +- Verify whether or not your app has a service principal + - If not, create the app service principal +- Update the application's configuration +- Update the configuration in dbt Cloud + +### Verify the service principal + +You will need an Entra ID admin to complete these steps. + +To confirm whether your existing app already has a service principal: + +1. In the Azure account, navigate to **Microsoft Entra ID** -> **Manage** -> **App registrations**. +2. Click on the application for the service user integration with dbt Cloud. +3. Verify whether a name populates the **Managed application in local directory** field. + - If a name exists, continue to the next step from the [add a role to your service principal](#add-a-role-to-service-principal) and follow the remaining instructions. + - If no name exists, go to the next section, [Create the service principal](#create-the-service-principal). +4. Follow the instructions to [add permissions](#add-permissions-to-your-service-principal) to your service principal. +5. Follow the instructions to [connect DevOps to your app](#connect-azure-devops-to-your-new-app). +6. In your dbt Cloud account: + 1. Navigate to **Account settings** and click **Integrations** + 2. Click the **edit icon** to the right of the **Azure DevOps** settings. + 3. Change **Service user** to **Service principal** and click **Save**. You do not need to edit any existing fields. + +### Create the service principal + +If there is no name populating that field, a Service Principal does not exist. To configure a Service Principal, please review the instructions here. + +If your dbt Cloud app does not have a service principal, take the following actions in your Azure account: + +1. Navigate to **Microsoft Entra ID**. +2. Under **Manage** on the left-side menu, click **App registrations**. +3. Click the app for the dbt Cloud and Azure DevOps integration. +4. Locate the **Managed application in local directory** field and click **Create Service Principal**. + + + +5. Follow the instructions to [add permissions](#add-permissions-to-your-service-principal) to your service principal. +6. Follow the instructions to [connect DevOps to your app](#connect-azure-devops-to-your-new-app). +7. In your dbt Cloud account: + 1. Navigate to **Account settings** and click **Integrations** + 2. Click the **edit icon** to the right of the **Azure DevOps** settings. + 3. Change **Service user** to **Service principal** and click **Save**. You do not need to edit any existing fields. diff --git a/website/docs/docs/cloud/git/setup-azure.md b/website/docs/docs/cloud/git/setup-azure-service-user.md similarity index 66% rename from website/docs/docs/cloud/git/setup-azure.md rename to website/docs/docs/cloud/git/setup-azure-service-user.md index f54bb752937..4a35042cc67 100644 --- a/website/docs/docs/cloud/git/setup-azure.md +++ b/website/docs/docs/cloud/git/setup-azure-service-user.md @@ -1,24 +1,31 @@ --- -title: "Set up Azure DevOps" -id: "setup-azure" +title: "Set up Azure DevOps with Service User" +id: "setup-service-user" description: "You can set up your Azure DevOps by creating a Microsoft Entra ID app and adding it to dbt Cloud." -sidebar_label: "Set up Azure DevOps" +sidebar_label: "Set up service user" --- - +## Service user overview + +:::important + +Service users are no longer a recommended method for authentication and dbt Cloud is rolling out a new [Entra ID service principal](https://learn.microsoft.com/en-us/entra/identity-platform/app-objects-and-service-principals) option. Once the option is available in your account settings, you should plan to [migrate from service user to service principal](/docs/cloud/git/setup-service-principal#migrate-to-service-principal). Service prinicpals are the [Microsoft recommended service account type](https://learn.microsoft.com/en-us/entra/architecture/secure-service-accounts#types-of-microsoft-entra-service-accounts) for app authentication. + +::: -## Overview To use our native integration with Azure DevOps in dbt Cloud, an account admin needs to set up an Microsoft Entra ID app. We recommend setting up a separate [Entra ID application than used for SSO](/docs/cloud/manage-access/set-up-sso-microsoft-entra-id). 1. [Register an Entra ID app](#register-a-microsoft-entra-id-app). -2. [Connect Azure DevOps to your new app](#connect-azure-devops-to-your-new-app). -3. [Add your Entra ID app to dbt Cloud](#add-your-azure-ad-app-to-dbt-cloud). +2. [Add permissions to your new app](#add-permissions-to-your-new-app). +3. [Add another redirect URI](#add-another-redirect-uri). +4. [Connect Azure DevOps to your new app](#connect-azure-devops-to-your-new-app). +5. [Add your Entra ID app to dbt Cloud](#add-your-azure-ad-app-to-dbt-cloud). -Once the Microsoft Entra ID app is added to dbt Cloud, an account admin must also connect a [service principal](https://learn.microsoft.com/en-us/entra/identity-platform/app-objects-and-service-principals?tabs=browser), which will be used to power headless actions in dbt Cloud such as deployment runs and CI. +Once the Microsoft Entra ID app is added to dbt Cloud, an account admin must also [connect a service user](#connecting-a-service-user) via OAuth, which will be used to power headless actions in dbt Cloud such as deployment runs and CI. -Once the Microsoft Entra ID app is added to dbt Cloud and the service principal is connected, then dbt Cloud developers can personally authenticate in dbt Cloud from Azure DevOps. For more on this, see [Authenticate with Azure DevOps](/docs/cloud/git/authenticate-azure). +Once the Microsoft Entra ID app is added to dbt Cloud and the service user is connected, then dbt Cloud developers can personally authenticate in dbt Cloud from Azure DevOps. For more on this, see [Authenticate with Azure DevOps](/docs/cloud/git/authenticate-azure). The following personas are required to complete the steps on this page: - Microsoft Entra ID admin @@ -36,106 +43,90 @@ A Microsoft Entra ID admin needs to perform the following steps: 4. Provide a name for your app. We recommend using, "dbt Labs Azure DevOps app". 5. Select **Accounts in any organizational directory (Any Entra ID directory - Multitenant)** as the Supported Account Types. Many customers ask why they need to select Multitenant instead of Single tenant, and they frequently get this step wrong. Microsoft considers Azure DevOps (formerly called Visual Studio) and Microsoft Entra ID as separate tenants, and in order for this Entra ID application to work properly, you must select Multitenant. -6. Click **Register**. +6. Add a redirect URI by selecting **Web** and, in the field, entering `https://YOUR_ACCESS_URL/complete/azure_active_directory`, replacing `YOUR_ACCESS_URL` with the [appropriate Access URL](/docs/cloud/about-cloud/access-regions-ip-addresses) for your region and plan. +7. Click **Register**. + + Here's what your app should look like before registering it: -## Create a client secret - -A Microsoft Entra ID admin needs to complete the following steps: - -1. Navigate to **Microsoft Entra ID**, click **App registrations**, and click on your app. -2. Select **Certificates and Secrets** from the left navigation panel. -3. Select **Client secrets** and click **New client secret** -4. Give the secret a description and select the expiration time. Click **Add**. -5. Copy the **Value** field and securely share it with the dbt Cloud account admin who will complete the setup. - -## Connect Azure DevOps to your new app - -An Azure admin will need one of the following permissions in both the Microsoft Entra ID and Azure DevOps environments: -- Azure Service Administrator -- Azure Co-administrator - -:::note - -You can only add a managed identity or service principal for the tenant to which your organization is connected. You need to add a directory to your organization so that it can access all the service principals and other identities. -Navigate to **Organization settings** --> **Microsoft Entra** --> **Connect Directory** to connect. - -::: - -1. From your Azure DevOps account organization screen, click **Organization settings** in the bottom left. -2. Under **General** settings, click **Users**. -3. Click **Add users**, and in the resulting panel, enter the service principal's name in the first field. Then, click the name when it appears below the field. -4. In the **Add to projects** field, click the boxes for any projects you want to include (or select all). -5. Set the **Azure DevOps Groups** to **Project Administrator**. - - -## Configure the Entra ID connection +## Add permissions to your new app -There are two connection methods currently available for dbt Cloud and Azure DevOps: -- **Service principal** (recommended): Create an application connection via client ID and secret for unattended authentication. -- **Service user** (legacy): Create a user that will authenticate the connection with username and password. This configuration should be avoided. +An Entra ID admin needs to provide your new app access to Azure DevOps: - +1. Select **API permissions** in the left navigation panel. +2. Remove the **Microsoft Graph / User Read** permission. +3. Click **Add a permission**. +4. Select **Azure DevOps**. +5. Select the **user_impersonation** permission. This is the only permission available for Azure DevOps. - + -## Create a service principal +## Add another redirect URI -The application's service principal represents the Entra ID application object. Whereas a service user represents a real user in Azure with an Entra ID (and an applicable license), the service principal is a secure identity used by an application to access Azure resources unattended. The service principal authenticates with a client ID and secret rather than a username and password (or any other form of user auth). Service principals are the [Microsoft recommended method](https://learn.microsoft.com/en-us/entra/architecture/secure-service-accounts#types-of-microsoft-entra-service-accounts) for authenticating apps. +A Microsoft Entra ID admin needs to add another redirect URI to your Entra ID application. This redirect URI will be used to authenticate the service user for headless actions in deployment environments. -### Add a role to the Service Principal +1. Navigate to your Microsoft Entra ID application. -In your Azure account: +2. Select the link next to **Redirect URIs** +3. Click **Add URI** and add the URI, replacing `YOUR_ACCESS_URL` with the [appropriate Access URL](/docs/cloud/about-cloud/access-regions-ip-addresses) for your region and plan: +`https://YOUR_ACCESS_URL/complete/azure_active_directory_service_user` +4. Click **Save**. -1. Navigate to **Subscriptions** and click on the appropriate subscription name for the application environment. -2. From the left-side menu of the subscription window, click **Access control (IAM)**. -3. From the top menu, click **Add** and select **Add role assignment** from the dropdown. + - - -4. In the **Role** tab, select a role with appropriate permissions to assign the service principal. -5. Click the **Members** tab. You must set **Assign access to** to **User, group, or service principal**. -6. Click **Select members** and search for your app name in the window. Once it appears, click your app, which will appear in the **Selected members** section. Click **Select** at the bottom to save your selection. +## Create a client secret - +A Microsoft Entra ID admin needs to complete the following steps: -5. Confirm the correct details and click **Review + assign**. +1. Navigate to your Microsoft Entra ID application. +2. Select **Certificates and Secrets** from the left navigation panel. +3. Select **Client secrets** and click **New client secret** +4. Give the secret a description and select the expiration time. Click **Add**. +5. Copy the **Value** field and securely share it with the dbt Cloud account admin who will complete the setup. - +## Connect Azure DevOps to your new app -Navigate back to the **App registrations** screen and click the app. On the left menu, click **Roles and administrators**, and you will see the app role assignment. +An Azure admin will need one of the following permissions in both the Microsoft Entra ID and Azure DevOps environments: +- Azure Service Administrator +- Azure Co-administrator -### Migrate to service principal +If your Azure DevOps account is connected to Entra ID, then you can proceed to [Connecting a service user](#connecting-a-service-user). However, if you're just getting set up, connect Azure DevOps to the Microsoft Entra ID app you just created: -If your dbt Cloud app does not have a service principal, take the following actions in your Azure account: +1. From your Azure DevOps account, select **Organization settings** in the bottom left. +2. Navigate to Microsoft Entra ID. +3. Click **Connect directory**. +4. Select the directory you want to connect. +5. Click **Connect**. -1. Navigate to **Microsoft Entra ID**. -2. Under **Manage** on the left-side menu, click **App registrations**. -3. Click the app for the dbt Cloud and Azure DevOps integration. -4. Locate the **Managed application in local directory** field and click **Create Service Principal**. + - +## Add your Microsoft Entra ID app to dbt Cloud -5. Follow the instructions in [Add role to service principal](#add-a-role-to-the-service-principal) if the app doesn't already have them assigned. -6. In dbt Cloud, navigate to **Account settings** --> **Integrations** and edit the **Azure DevOps** integration. -7. Click the **Service principal** option, fill out the fields, and click **Save**. The services will continue to function uninterrupted. +A dbt Cloud account admin needs to perform the following steps. +Once you connect your Microsoft Entra ID app and Azure DevOps, you need to provide dbt Cloud information about the app: - - +1. Navigate to your account settings in dbt Cloud. +2. Select **Integrations**. +3. Scroll to the Azure DevOps section. +4. Complete the form: + - **Azure DevOps Organization:** Must match the name of your Azure DevOps organization exactly. Do not include the `dev.azure.com/` prefix in this field. ✅ Use `my-devops-org` ❌ Avoid `dev.azure.com/my-devops-org` + - **Application (client) ID:** Found in the Microsoft Entra ID app. + - **Client Secrets:** Copy the **Value** field in the Microsoft Entra ID app client secrets and paste it in the **Client Secret** field in dbt Cloud. Entra ID admins are responsible for the Entra ID app secret expiration and dbt Admins should note the expiration date for rotation. + - **Directory(tenant) ID:** Found in the Microsoft Entra ID app. + -:::important +Your Microsoft Entra ID app should now be added to your dbt Cloud Account. People on your team who want to develop in the dbt Cloud IDE or dbt Cloud CLI can now personally [authorize Azure DevOps from their profiles](/docs/cloud/git/authenticate-azure). -Service users are no longer a recommended method for authentication and accounts using them should [migrate](#migrate-to-service-principal) to Entra ID [service principals](https://learn.microsoft.com/en-us/entra/identity-platform/app-objects-and-service-principals) in the future. Service prinicpals are the [Microsoft recommended service account type](https://learn.microsoft.com/en-us/entra/architecture/secure-service-accounts#types-of-microsoft-entra-service-accounts) for app authentication. -::: +## Connect a service user -An Azure DevOps admin can create a "service user (not recommended)" in Azure DevOps whose permissions will be used to power headless actions in dbt Cloud such as dbt Cloud project repo selection, deployment runs, and CI. A service user is a pseudo user set up in the same way an admin would set up a real user, but it's given permissions specifically scoped for service to service interactions. You should avoid linking authentication to a real Azure DevOps user because if this person leaves your organization, dbt Cloud will lose privileges to the dbt Azure DevOps repositories, causing production runs to fail. +A service user is a pseudo user set up in the same way an admin would set up a real user, but it's given permissions specifically scoped for service to service interactions. You should avoid linking authentication to a real Azure DevOps user because if this person leaves your organization, dbt Cloud will lose privileges to the dbt Azure DevOps repositories, causing production runs to fail. :::info Service user authentication expiration dbt Cloud will refresh the authentication for the service user on each run triggered by the scheduler, API, or CI. If your account does not have any active runs for over 90 days, an admin will need to manually refresh the authentication of the service user by disconnecting and reconnecting the service user's profile via the OAuth flow described above in order to resume headless interactions like project set up, deployment runs, and CI. @@ -169,7 +160,7 @@ The service user's permissions will also power which repositories a team can sel While it's common to enforce multi-factor authentication (MFA) for normal user accounts, service user authentication must not need an extra factor. If you enable a second factor for the service user, this can interrupt production runs and cause a failure to clone the repository. In order for the OAuth access token to work, the best practice is to remove any more burden of proof of identity for service users. -As a result, MFA must be explicitly disabled in the Office 365 or Microsoft Entra ID administration panel for the service user. Just having it "un-connected" will not be sufficient, as dbt Cloud will be prompted to set up MFA instead of allowing the credentials to be used as intended. +As a result, MFA must be explicity disabled in the Office 365 or Microsoft Entra ID administration panel for the service user. Just having it "un-connected" will not be sufficient, as dbt Cloud will be prompted to set up MFA instead of allowing the credentials to be used as intended. **To disable MFA for a single user using the Office 365 Administration console:** @@ -387,16 +378,6 @@ A dbt Cloud account admin with access to the service user's Azure DevOps account Once connected, dbt Cloud displays the email address of the service user so you know which user's permissions are enabling headless actions in deployment environments. To change which account is connected, disconnect the profile in dbt Cloud, sign into the alternative Azure DevOps service account, and re-link the account in dbt Cloud. -### Using Azure AD for SSO with dbt Cloud and Microsoft tools - -If you're using Azure AD for SSO with dbt Cloud and Microsoft tools, the SSO flow may sometimes direct your account admin to their personal user account instead of the service user. If this happens, follow these steps to resolve it: - -1. Sign in to the service user's Azure DevOps account (ensure they are also connected to dbt Cloud through SSO). -2. When connected to dbt Cloud, sign out of Azure AD through the [Azure portal](https://portal.azure.com/). -3. Disconnect the service user in dbt Cloud, and follow the steps to set it up again. -4. You should then be prompted to enter service user credentials. - - :::info Personal Access Tokens (PATs) dbt Cloud leverages the service user to generate temporary access tokens called [PATs](https://learn.microsoft.com/en-us/azure/devops/organizations/accounts/use-personal-access-tokens-to-authenticate?toc=%2Fazure%2Fdevops%2Fmarketplace-extensibility%2Ftoc.json&view=azure-devops&tabs=Windows). @@ -407,25 +388,3 @@ These tokens are limited to the following [scopes](https://learn.microsoft.com/e - `vso.project`: Grants the ability to read projects and teams. - `vso.build_execute`: Grants the ability to access build artifacts, including build results, definitions, and requests, and the ability to queue a build, update build properties, and the ability to receive notifications about build events with service hooks. ::: - - - - -## Add your Microsoft Entra ID app to dbt Cloud - -A dbt Cloud account admin must take the following actions. - -Once you connect your Microsoft Entra ID app and Azure DevOps, you need to provide dbt Cloud information about the app: - -1. Navigate to your account settings in dbt Cloud. -2. Select **Integrations**. -3. Scroll to the Azure DevOps section. -4. Complete the form: - - **Azure DevOps Organization:** Must match the name of your Azure DevOps organization exactly. Do not include the `dev.azure.com/` prefix in this field. ✅ Use `my-devops-org` ❌ Avoid `dev.azure.com/my-devops-org` - - **Application (client) ID:** Found in the Microsoft Entra ID app. - - **Client Secrets:** Copy the **Value** field in the Microsoft Entra ID app client secrets and paste it in the **Client Secret** field in dbt Cloud. Entra ID admins are responsible for the Entra ID app secret expiration and dbt Admins should note the expiration date for rotation. - - **Directory(tenant) ID:** Found in the Microsoft Entra ID app. - - - **Redirect URI (Service users only)**: Copy this field to **Redirect URIs** field in your Entra ID app. - -Your Microsoft Entra ID app should now be added to your dbt Cloud Account. People on your team who want to develop in the dbt Cloud IDE or dbt Cloud CLI can now personally [authorize Azure DevOps from their profiles](/docs/cloud/git/authenticate-azure). diff --git a/website/sidebars.js b/website/sidebars.js index a69bec01e49..c6ed6126662 100644 --- a/website/sidebars.js +++ b/website/sidebars.js @@ -156,7 +156,8 @@ const sidebarSettings = { }, items: [ "docs/cloud/git/connect-azure-devops", - "docs/cloud/git/setup-azure", + "docs/cloud/git/setup-service-principal", + "docs/cloud/git/setup-service-user", "docs/cloud/git/authenticate-azure", ], }, diff --git a/website/snippets/_git-providers-supporting-ci.md b/website/snippets/_git-providers-supporting-ci.md index 34bd87db2fc..5e3956d013d 100644 --- a/website/snippets/_git-providers-supporting-ci.md +++ b/website/snippets/_git-providers-supporting-ci.md @@ -8,7 +8,7 @@ The following table outlines the available integration options and their corresp | **Git provider** | **Native dbt Cloud integration** | **Automated CI job**|**Git clone**| **Information**| | -----------------| ---------------------------------| -------------------------------------------|-----------------------|---------| -|[Azure DevOps](/docs/cloud/git/setup-azure)
| ✅| ✅ | ✅ | Organizations on the Team and Developer plans can connect to Azure DeveOps using a deploy key. Note, you won’t be able to configure automated CI jobs but you can still develop.| +|[Azure DevOps](/docs/cloud/git/connect-azure-devops)
| ✅| ✅ | ✅ | Organizations on the Team and Developer plans can connect to Azure DeveOps using a deploy key. Note, you won’t be able to configure automated CI jobs but you can still develop.| |[GitHub](/docs/cloud/git/connect-github)
| ✅ | ✅ | ✅ | |[GitLab](/docs/cloud/git/connect-gitlab)
| ✅ | ✅ | ✅ | |All other git providers using [Git clone](/docs/cloud/git/import-a-project-by-git-url) ([BitBucket](/docs/cloud/git/import-a-project-by-git-url#bitbucket), [AWS CodeCommit](/docs/cloud/git/import-a-project-by-git-url#aws-codecommit), and others)| ❌ | ❌ | ✅ | Refer to the [Customizing CI/CD with custom pipelines](/guides/custom-cicd-pipelines?step=1) guide to set up continuous integration and continuous deployment (CI/CD).| diff --git a/website/vercel.json b/website/vercel.json index 927b7ec6b2f..849fe5174aa 100644 --- a/website/vercel.json +++ b/website/vercel.json @@ -2,6 +2,11 @@ "cleanUrls": true, "trailingSlash": false, "redirects": [ + { + "source": "/docs/cloud/git/setup-azure", + "destination": "/docs/cloud/git/connect-azure-devops", + "permanent": true + }, { "source": "/docs/cloud/about-cloud/dark-mode", "destination": "/docs/cloud/about-cloud/change-your-dbt-cloud-theme", From ff4c7ed0a5eac43c5bb142ba7a51f2c5997c2759 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Tue, 28 Jan 2025 13:54:45 -0500 Subject: [PATCH 11/29] Core v1.10 upgrade framework (#6842) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## What are you changing in this pull request and why? Adds the upgrade guide for v1.10 Resolves #6827 ## 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." - [ ] The content in this PR requires a dbt release note, so I added one to the [release notes page](https://docs.getdbt.com/docs/dbt-versions/dbt-cloud-release-notes). --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-migration-110-dbt-labs.vercel.app/docs/dbt-versions/core-upgrade/05-upgrading-to-v1.10 --- .../core-upgrade/05-upgrading-to-v1.10.md | 32 +++++++++++++++++++ 1 file changed, 32 insertions(+) create mode 100644 website/docs/docs/dbt-versions/core-upgrade/05-upgrading-to-v1.10.md diff --git a/website/docs/docs/dbt-versions/core-upgrade/05-upgrading-to-v1.10.md b/website/docs/docs/dbt-versions/core-upgrade/05-upgrading-to-v1.10.md new file mode 100644 index 00000000000..98a8fafbb9b --- /dev/null +++ b/website/docs/docs/dbt-versions/core-upgrade/05-upgrading-to-v1.10.md @@ -0,0 +1,32 @@ +--- +title: "Upgrading to v1.10" +id: upgrading-to-v1.10 +description: New features and changes in dbt Core v1.10 +displayed_sidebar: "docs" +--- + +## Resources + +- dbt Core v1.10 changelog (coming soon) +- [dbt Core CLI Installation guide](/docs/core/installation-overview) +- [Cloud upgrade guide](/docs/dbt-versions/upgrade-dbt-version-in-cloud#release-tracks) + +## What to know before upgrading + +dbt Labs is committed to providing backward compatibility for all versions 1.x. Any behavior changes will be accompanied by a [behavior change flag](/reference/global-configs/behavior-changes#behavior-change-flags) to provide a migration window for existing projects. If you encounter an error upon upgrading, please let us know by [opening an issue](https://github.com/dbt-labs/dbt-core/issues/new). + +Starting in 2024, dbt Cloud provides the functionality from new versions of dbt Core via [release tracks](/docs/dbt-versions/cloud-release-tracks) with automatic upgrades. If you have selected the "Latest" release track in dbt Cloud, you already have access to all the features, fixes, and other functionality that is included in dbt Core v1.10! If you have selected the "Compatible" release track, you will have access in the next monthly "Compatible" release after the dbt Core v1.10 final release. + +For users of dbt Core, since v1.8, we recommend explicitly installing both `dbt-core` and `dbt-`. This may become required for a future version of dbt. For example: + +```sql +python3 -m pip install dbt-core dbt-snowflake +``` + +## New and changed features and functionality + +**Coming soon** + +## Quick hits + +**Coming soon** \ No newline at end of file From 787fe7dbfe3ae7718d49c8c98a5074308b448685 Mon Sep 17 00:00:00 2001 From: Amy Chen <46451573+amychen1776@users.noreply.github.com> Date: Tue, 28 Jan 2025 16:40:01 -0500 Subject: [PATCH 12/29] Update snowflake-configs.md (#6844) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## What are you changing in this pull request and why? ## 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." - [ ] The content in this PR requires a dbt release note, so I added one to the [release notes page](https://docs.getdbt.com/docs/dbt-versions/dbt-cloud-release-notes). --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-amychen1776-patch-1-dbt-labs.vercel.app/reference/resource-configs/snowflake-configs --- website/docs/reference/resource-configs/snowflake-configs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/snowflake-configs.md b/website/docs/reference/resource-configs/snowflake-configs.md index 30275450793..a71c21b40b1 100644 --- a/website/docs/reference/resource-configs/snowflake-configs.md +++ b/website/docs/reference/resource-configs/snowflake-configs.md @@ -17,7 +17,7 @@ The dbt-snowflake adapter supports the Iceberg table format. It is available for - [Table](/docs/build/materializations#table) - [Incremental](/docs/build/materializations#incremental) -- [Dynamic](#dynamic-tables) +- [Dynamic Table](#dynamic-tables) For now, to create Iceberg tables, you must implement a [behavior flag](/reference/global-configs/behavior-changes) due to performance impact related to using Iceberg tables. Snowflake does not support `is_iceberg` on the `Show Objects` query, which dbt depends on for metadata. From 1986b4ec1516ff331efcb5434e77495e82edf519 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Wed, 29 Jan 2025 10:11:05 +0000 Subject: [PATCH 13/29] update faq and add naming pattern --- website/docs/docs/cloud/git/connect-gitlab.md | 15 ++------------- website/docs/faqs/Git/gitlab-token-refresh.md | 16 ++++++++++++++++ 2 files changed, 18 insertions(+), 13 deletions(-) create mode 100644 website/docs/faqs/Git/gitlab-token-refresh.md diff --git a/website/docs/docs/cloud/git/connect-gitlab.md b/website/docs/docs/cloud/git/connect-gitlab.md index 67fe83b537c..a5d80f03c74 100644 --- a/website/docs/docs/cloud/git/connect-gitlab.md +++ b/website/docs/docs/cloud/git/connect-gitlab.md @@ -14,8 +14,7 @@ Connecting your GitLab account to dbt Cloud provides convenience and another lay :::info When configuring the repository in dbt Cloud, GitLab automatically: - Registers a webhook, which triggers pipeline jobs in dbt Cloud. -- Creates a [project access token](https://docs.gitlab.com/ee/user/project/settings/project_access_tokens.html) in your GitLab repository, which sends the job run status back to Gitlab using the dbt Cloud API for CI jobs. dbt Cloud automatically refreshes this project access token for you, which means you never have to manually rotate the token. Check out the [FAQs](#faqs) for more info. - +- Creates a [project access token](https://docs.gitlab.com/ee/user/project/settings/project_access_tokens.html) in your GitLab repository, which sends the job run status back to GitLab using the dbt Cloud API for CI jobs. dbt Cloud automatically refreshes this token for you, which means you never have to manually rotate it. Check out the [troubleshooting](#troubleshooting) section for more info. ::: @@ -130,14 +129,4 @@ Once you approve authorization, you will be redirected to dbt Cloud, and you sho - - -When you connect dbt Cloud to a GitLab repository, GitLab automatically creates a [project access token](https://docs.gitlab.com/ee/user/project/settings/project_access_tokens.html) in your GitLab repository in the background. This sends the job run status back to Gitlab using the dbt Cloud API for CI jobs. - -If you're recieving a "Refresh token" message, don't worry — dbt Cloud automatically refereshes this project access token for you, which means you never have to manually rotate the token. - -If you still experience any token refresh errors, please try disconnecting and reconnecting the repository in dbt Cloud to refresh the token. - -For any issues, pleasereach out to the Support team at support@getdbt.com and we'll be happy to help! - - + diff --git a/website/docs/faqs/Git/gitlab-token-refresh.md b/website/docs/faqs/Git/gitlab-token-refresh.md new file mode 100644 index 00000000000..60ac0b0bc35 --- /dev/null +++ b/website/docs/faqs/Git/gitlab-token-refresh.md @@ -0,0 +1,16 @@ +--- +title: GitLab token refresh message +description: "Learn how to resolve GitLab token refresh messages during your CI jobs" +sidebar_label: 'GitLab token refresh message' +id: gitlab-token-refresh +--- + +When you connect dbt Cloud to a GitLab repository, GitLab automatically creates a [project access token](https://docs.gitlab.com/ee/user/project/settings/project_access_tokens.html) in your GitLab repository in the background. This sends the job run status back to Gitlab using the dbt Cloud API for CI jobs. + +By default, the project access token follows a naming pattern: `dbt Cloud token for GitLab project: `. If you have multiple tokens in your repository, look for one that follows this pattern to identify the correct token used by dbt Cloud. + +If you're receiving a "Refresh token" message, don't worry — dbt Cloud automatically refreshes this project access token for you, which means you never have to manually rotate it. + +If you still experience any token refresh errors, please try disconnecting and reconnecting the repository in dbt Cloud to refresh the token. + +For any issues, please reach out to the Support team at support@getdbt.com and we'll be happy to help! From 51e1ee57f28285b4d28f52d4c8b52c8171ea2189 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Wed, 29 Jan 2025 10:25:18 +0000 Subject: [PATCH 14/29] centralize links --- website/src/components/lifeCycle/index.js | 12 +++--------- website/src/components/lifeCycle/lifecycle-urls.js | 11 +++++++++++ 2 files changed, 14 insertions(+), 9 deletions(-) create mode 100644 website/src/components/lifeCycle/lifecycle-urls.js diff --git a/website/src/components/lifeCycle/index.js b/website/src/components/lifeCycle/index.js index a157c1ed6ec..c27906f6c48 100644 --- a/website/src/components/lifeCycle/index.js +++ b/website/src/components/lifeCycle/index.js @@ -2,6 +2,7 @@ import React from 'react'; import styles from './styles.module.css'; +import { STATUS_URLS } from './lifecycle-urls.js'; const statusColors = { enterprise: '#EBEDF0', @@ -22,15 +23,8 @@ const fontColors = { ga: '#ffff', }; -// URL mapping for predefined lifecycle statuses -const statusUrls = { - enterprise: 'https://www.getdbt.com/pricing', - team: 'https://www.getdbt.com/pricing', - developer: 'https://www.getdbt.com/signup', - beta: 'https://docs.getdbt.com/docs/dbt-versions/product-lifecycles', - preview: 'https://docs.getdbt.com/docs/dbt-versions/product-lifecycles', - ga: 'https://docs.getdbt.com/docs/dbt-versions/product-lifecycles', -}; +// URL mapping for predefined lifecycle statuses. urls defined in ../lifeCycle/lifecycle-urls.js file so we can update them in one place +const statusUrls = STATUS_URLS; export default function Lifecycle(props) { const statuses = props.status?.split(','); diff --git a/website/src/components/lifeCycle/lifecycle-urls.js b/website/src/components/lifeCycle/lifecycle-urls.js new file mode 100644 index 00000000000..ddc731eef8f --- /dev/null +++ b/website/src/components/lifeCycle/lifecycle-urls.js @@ -0,0 +1,11 @@ +const PRODUCT_LIFECYCLE_URL = 'https://docs.getdbt.com/docs/dbt-versions/product-lifecycles'; +const PLAN_URL = 'https://www.getdbt.com/pricing'; + +export const STATUS_URLS = { + enterprise: PLAN_URL, + team: PLAN_URL, + developer: 'https://www.getdbt.com/signup', + beta: PRODUCT_LIFECYCLE_URL, + preview: PRODUCT_LIFECYCLE_URL, + ga: PRODUCT_LIFECYCLE_URL, +}; From f60e4f156846d0c4ebee6d63ded916c0202e8897 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 29 Jan 2025 10:48:07 +0000 Subject: [PATCH 15/29] add dbt build adn dbt docs generate to view all metadata this pr incorporates Roxi's feedback to make it extra clear that dbt build + dbt docs generate will generate all metadata. added a bullet and extra row to the table --- website/docs/docs/collaborate/explore-projects.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/website/docs/docs/collaborate/explore-projects.md b/website/docs/docs/collaborate/explore-projects.md index e21bd507e51..e0477ecde56 100644 --- a/website/docs/docs/collaborate/explore-projects.md +++ b/website/docs/docs/collaborate/explore-projects.md @@ -39,13 +39,15 @@ Navigate the dbt Explorer overview page to access your project's resources and m dbt Explorer uses the metadata provided by the [Discovery API](/docs/dbt-cloud-apis/discovery-api) to display the details about [the state of your project](/docs/dbt-cloud-apis/project-state). The metadata that's available depends on the [deployment environment](/docs/deploy/deploy-environments) you've designated as _production_ or _staging_ in your dbt Cloud project. +- To ensure all metadata is available in dbt Explorer, run `dbt build` and `dbt docs generate` as part of your job in your production or staging environment. Running those two commands ensure all relevant metadata (like lineage, test results, documentation, and more) is available in dbt Explorer. - dbt Explorer automatically retrieves the metadata updates after each job run in the production or staging deployment environment so it always has the latest results for your project. This includes deploy and merge jobs. -- Note that CI jobs do not update dbt Explorer. This is because they don't reflect the production state and don't provide the necessary metadata updates. + - Note that CI jobs don't update dbt Explorer. This is because they don't reflect the production state and don't provide the necessary metadata updates. - To view a resource and its metadata, you must define the resource in your project and run a job in the production or staging environment. - The resulting metadata depends on the [commands](/docs/deploy/job-commands) executed by the jobs. | To view in Explorer | You must successfully run | |---------------------|---------------------------| +| All metadata | [dbt build](/reference/commands/build) and [dbt docs generate](/reference/commands/cmd-docs) as part of a job in the environment | Model lineage, details, or results | [dbt run](/reference/commands/run) or [dbt build](/reference/commands/build) on a given model within a job in the environment | | Columns and statistics for models, sources, and snapshots| [dbt docs generate](/reference/commands/cmd-docs) within [a job](/docs/collaborate/build-and-view-your-docs) in the environment | | Test results | [dbt test](/reference/commands/test) or [dbt build](/reference/commands/build) within a job in the environment | From 18bfab1bed590eca585bc12409c6b1ba665704d8 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 29 Jan 2025 10:48:53 +0000 Subject: [PATCH 16/29] Update website/docs/docs/collaborate/explore-projects.md --- website/docs/docs/collaborate/explore-projects.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/collaborate/explore-projects.md b/website/docs/docs/collaborate/explore-projects.md index e0477ecde56..5e96f6afc23 100644 --- a/website/docs/docs/collaborate/explore-projects.md +++ b/website/docs/docs/collaborate/explore-projects.md @@ -47,7 +47,7 @@ dbt Explorer uses the metadata provided by the [Discovery API](/docs/dbt-cloud-a | To view in Explorer | You must successfully run | |---------------------|---------------------------| -| All metadata | [dbt build](/reference/commands/build) and [dbt docs generate](/reference/commands/cmd-docs) as part of a job in the environment +| All metadata | [dbt build](/reference/commands/build) and [dbt docs generate](/reference/commands/cmd-docs) together as part of a job in the environment | Model lineage, details, or results | [dbt run](/reference/commands/run) or [dbt build](/reference/commands/build) on a given model within a job in the environment | | Columns and statistics for models, sources, and snapshots| [dbt docs generate](/reference/commands/cmd-docs) within [a job](/docs/collaborate/build-and-view-your-docs) in the environment | | Test results | [dbt test](/reference/commands/test) or [dbt build](/reference/commands/build) within a job in the environment | From 758580a7db31246bb664e0a6c27633b6d6900ae4 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 29 Jan 2025 10:50:04 +0000 Subject: [PATCH 17/29] Update website/docs/docs/collaborate/explore-projects.md --- website/docs/docs/collaborate/explore-projects.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/collaborate/explore-projects.md b/website/docs/docs/collaborate/explore-projects.md index 5e96f6afc23..5ad5962be83 100644 --- a/website/docs/docs/collaborate/explore-projects.md +++ b/website/docs/docs/collaborate/explore-projects.md @@ -47,7 +47,7 @@ dbt Explorer uses the metadata provided by the [Discovery API](/docs/dbt-cloud-a | To view in Explorer | You must successfully run | |---------------------|---------------------------| -| All metadata | [dbt build](/reference/commands/build) and [dbt docs generate](/reference/commands/cmd-docs) together as part of a job in the environment +| All metadata | [dbt build](/reference/commands/build) and [dbt docs generate](/reference/commands/cmd-docs) together as part of the same job in the environment | Model lineage, details, or results | [dbt run](/reference/commands/run) or [dbt build](/reference/commands/build) on a given model within a job in the environment | | Columns and statistics for models, sources, and snapshots| [dbt docs generate](/reference/commands/cmd-docs) within [a job](/docs/collaborate/build-and-view-your-docs) in the environment | | Test results | [dbt test](/reference/commands/test) or [dbt build](/reference/commands/build) within a job in the environment | From f762240060edec67d22853e70b3802e75a19cf2a Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 29 Jan 2025 11:06:40 +0000 Subject: [PATCH 18/29] Update website/docs/docs/cloud/git/connect-gitlab.md Co-authored-by: nataliefiann <120089939+nataliefiann@users.noreply.github.com> --- website/docs/docs/cloud/git/connect-gitlab.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/git/connect-gitlab.md b/website/docs/docs/cloud/git/connect-gitlab.md index a5d80f03c74..006895bf334 100644 --- a/website/docs/docs/cloud/git/connect-gitlab.md +++ b/website/docs/docs/cloud/git/connect-gitlab.md @@ -14,7 +14,7 @@ Connecting your GitLab account to dbt Cloud provides convenience and another lay :::info When configuring the repository in dbt Cloud, GitLab automatically: - Registers a webhook, which triggers pipeline jobs in dbt Cloud. -- Creates a [project access token](https://docs.gitlab.com/ee/user/project/settings/project_access_tokens.html) in your GitLab repository, which sends the job run status back to GitLab using the dbt Cloud API for CI jobs. dbt Cloud automatically refreshes this token for you, which means you never have to manually rotate it. Check out the [troubleshooting](#troubleshooting) section for more info. +- Creates a [project access token](https://docs.gitlab.com/ee/user/project/settings/project_access_tokens.html) in your GitLab repository, which sends the job run status back to GitLab using the dbt Cloud API for CI jobs. dbt Cloud automatically refreshes this token for you, which means you never have to manually rotate it. Check out the [troubleshooting](#troubleshooting) section for more information. ::: From 8960bd4d193a560dc5113f8e3d2d8a4acca4dcae Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 29 Jan 2025 11:33:59 +0000 Subject: [PATCH 19/29] Update column-level-lineage.md add enterprise lifecycle pill so it's easier to identify --- website/docs/docs/collaborate/column-level-lineage.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/website/docs/docs/collaborate/column-level-lineage.md b/website/docs/docs/collaborate/column-level-lineage.md index 8c7116f2a18..3c149e7bdcf 100644 --- a/website/docs/docs/collaborate/column-level-lineage.md +++ b/website/docs/docs/collaborate/column-level-lineage.md @@ -3,6 +3,8 @@ title: "Column-level lineage" description: "Use dbt Explorer's column-level lineage to gain insights about your data at a granular level." --- +# Column-level lineage + dbt Explorer now offers column-level lineage (CLL) for the resources in your dbt project. Analytics engineers can quickly and easily gain insight into the provenance of their data products at a more granular level. For each column in a resource (model, source, or snapshot) in a dbt project, Explorer provides end-to-end lineage for the data in that column given how it's used. CLL is available to dbt Cloud Enterprise accounts that can use Explorer. From 3efc2bf6484ce9727a08c0d395eddd11a9e1de73 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 29 Jan 2025 15:13:36 +0000 Subject: [PATCH 20/29] Update introduction.md --- website/docs/docs/introduction.md | 17 ----------------- 1 file changed, 17 deletions(-) diff --git a/website/docs/docs/introduction.md b/website/docs/docs/introduction.md index e160d83fdbc..2254738a8e5 100644 --- a/website/docs/docs/introduction.md +++ b/website/docs/docs/introduction.md @@ -5,19 +5,9 @@ pagination_next: null pagination_prev: null --- -# Test - dbt compiles and runs your analytics code against your data platform, enabling you and your team to collaborate on a single source of truth for metrics, insights, and business definitions. This single source of truth, combined with the ability to define tests for your data, reduces errors when logic changes, and alerts you when issues arise. -- Test text here blah blah blah -- Test text here blah blah blah - - - - test - - @@ -27,13 +17,6 @@ Read more about why we want to enable analysts to work more like software engine Use dbt to quickly and collaboratively transform data and deploy analytics code following software engineering best practices like version control, modularity, portability, CI/CD, and documentation. This means anyone on the data team comfortable with SQL can safely contribute to production-grade data pipelines. - - ### dbt Cloud dbt Cloud offers the fastest, most reliable, and scalable way to deploy dbt. Allowing data teams to optimize their data transformation by developing, testing, scheduling, and investigating data models using a single, fully managed service through a web-based user interface (UI). From 05c91b287ff1a6b771090e3777ee125a57ff3884 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Wed, 29 Jan 2025 11:08:54 -0500 Subject: [PATCH 21/29] Adding redirect URI to ADO (#6843) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## What are you changing in this pull request and why? Adds instructions for redirect URI ## 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." - [ ] The content in this PR requires a dbt release note, so I added one to the [release notes page](https://docs.getdbt.com/docs/dbt-versions/dbt-cloud-release-notes). --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-ado-update-dbt-labs.vercel.app/docs/cloud/git/setup-azure-service-principal - https://docs-getdbt-com-git-ado-update-dbt-labs.vercel.app/reference/resource-configs/snowflake-configs --------- Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> --- .../docs/docs/cloud/git/setup-azure-service-principal.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/git/setup-azure-service-principal.md b/website/docs/docs/cloud/git/setup-azure-service-principal.md index 55147bb66b1..8c2d539bffb 100644 --- a/website/docs/docs/cloud/git/setup-azure-service-principal.md +++ b/website/docs/docs/cloud/git/setup-azure-service-principal.md @@ -44,7 +44,11 @@ A Microsoft Entra ID admin needs to perform the following steps: 4. Provide a name for your app. We recommend using, "dbt Labs Azure DevOps app". 5. Select **Accounts in any organizational directory (Any Entra ID directory - Multitenant)** as the Supported Account Types. Many customers ask why they need to select Multitenant instead of Single Tenant, and they frequently get this step wrong. Microsoft considers Azure DevOps (formerly called Visual Studio) and Microsoft Entra ID separate tenants, and for the Entra ID application to work properly, you must select Multitenant. -6. Click **Register**. +6. Set **Redirect URI (optional)** to **Web**. Copy and paste the Redirect URI from dbt Cloud into the next field. To find the Redirect URI in dbt Cloud: + 1. In dbt Cloud, navigate to **Account Settings** -> **Integrations**. + 2. Click the **edit icon** next to **Azure DevOps**. + 3. Copy the first **Redirect URIs** value which looks like `https:///complete/azure_active_directory` and does NOT end with `service_user`. +7. Click **Register**. Here's what your app should look like before registering it: From 7070e5077aa18282ed25ab18771e386bf0158649 Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Wed, 29 Jan 2025 12:41:10 -0500 Subject: [PATCH 22/29] Cloud typo (#6850) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## What are you changing in this pull request and why? Very small cloud typos. ## 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." - [ ] The content in this PR requires a dbt release note, so I added one to the [release notes page](https://docs.getdbt.com/docs/dbt-versions/dbt-cloud-release-notes). --- 🚀 Deployment available! Here are the direct links to the updated files: - https://docs-getdbt-com-git-capitalization-dbt-labs.vercel.app/faqs/Troubleshooting/auth-expired-error - https://docs-getdbt-com-git-capitalization-dbt-labs.vercel.app/guides/sl-migration --- website/docs/faqs/Troubleshooting/auth-expired-error.md | 2 +- website/docs/guides/sl-migration.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/faqs/Troubleshooting/auth-expired-error.md b/website/docs/faqs/Troubleshooting/auth-expired-error.md index 267407a8c70..b2d6dea9dd3 100644 --- a/website/docs/faqs/Troubleshooting/auth-expired-error.md +++ b/website/docs/faqs/Troubleshooting/auth-expired-error.md @@ -4,7 +4,7 @@ description: "Reauthenticate warehouse when seeing `authentication has expired` sidebar_label: 'Receiving `authentication has expired` error in the IDE' --- -If you see a `authentication has expired` error when you try to run queries in the dbt CLoud IDE, this means your [OAuth](/docs/cloud/manage-access/set-up-snowflake-oauth) connection between Snowflake and dbt Cloud has expired. +If you see a `authentication has expired` error when you try to run queries in the dbt Cloud IDE, this means your [OAuth](/docs/cloud/manage-access/set-up-snowflake-oauth) connection between Snowflake and dbt Cloud has expired. To fix this, you must reconnect the two tools. diff --git a/website/docs/guides/sl-migration.md b/website/docs/guides/sl-migration.md index 8a0f6199fae..dc13f52e74b 100644 --- a/website/docs/guides/sl-migration.md +++ b/website/docs/guides/sl-migration.md @@ -33,7 +33,7 @@ dbt Labs recommends completing these steps in a local dev environment (such as t ```bash python -m pip install "dbt-metricflow[snowflake]" ``` - **Note** - MetricFlow commands aren't yet supported in the dbt CLoud IDE at this time. + **Note** - MetricFlow commands aren't yet supported in the dbt Cloud IDE at this time. 2. Run `dbt parse`. This parses your project and creates a `semantic_manifest.json` file in your target directory. MetricFlow needs this file to query metrics. If you make changes to your configs, you will need to parse your project again. 3. Run `mf list metrics` to view the metrics in your project. From 3354f26aef0c8c64a6cb8ea35276bdbe7337d4e9 Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Wed, 29 Jan 2025 23:50:43 -0500 Subject: [PATCH 23/29] Establishing a single source for apis (#6825) ## What are you changing in this pull request and why? We need to establish a single source for APIs ## 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." - [ ] The content in this PR requires a dbt release note, so I added one to the [release notes page](https://docs.getdbt.com/docs/dbt-versions/dbt-cloud-release-notes). --- ...dbt-cloud-api-calls-using-dbt-cloud-cli.md | 331 ------------------ website/vercel.json | 5 + 2 files changed, 5 insertions(+), 331 deletions(-) delete mode 100644 website/blog/2022-05-03-making-dbt-cloud-api-calls-using-dbt-cloud-cli.md diff --git a/website/blog/2022-05-03-making-dbt-cloud-api-calls-using-dbt-cloud-cli.md b/website/blog/2022-05-03-making-dbt-cloud-api-calls-using-dbt-cloud-cli.md deleted file mode 100644 index f75675ba7ee..00000000000 --- a/website/blog/2022-05-03-making-dbt-cloud-api-calls-using-dbt-cloud-cli.md +++ /dev/null @@ -1,331 +0,0 @@ ---- -title: "Making dbt Cloud API calls using dbt-cloud-cli" -description: "Simo Tumelius shares how to use his dbt-cloud-cli to make more readable and streamlined dbt Cloud API calls." -slug: making-dbt-cloud-api-calls-using-dbt-cloud-cli - -authors: [simo_tumelius] - -tags: [data ecosystem] -hide_table_of_contents: false - -date: 2022-05-03 -is_featured: true ---- - -:::info Different from dbt Cloud CLI -This blog explains how to use the `dbt-cloud-cli` Python library to create a data catalog app with dbt Cloud artifacts. This is different from the [dbt Cloud CLI](/docs/cloud/cloud-cli-installation), a tool that allows you to run dbt commands against your dbt Cloud development environment from your local command line. -::: - -dbt Cloud is a hosted service that many organizations use for their dbt deployments. Among other things, it provides an interface for creating and managing deployment jobs. When triggered (e.g., cron schedule, API trigger), the jobs generate various artifacts that contain valuable metadata related to the dbt project and the run results. - -dbt Cloud provides a REST API for managing jobs, run artifacts and other dbt Cloud resources. Data/analytics engineers would often write custom scripts for issuing automated calls to the API using tools [cURL](https://curl.se/) or [Python Requests](https://requests.readthedocs.io/en/latest/). In some cases, the engineers would go on and copy/rewrite them between projects that need to interact with the API. Now, they have a bunch of scripts on their hands that they need to maintain and develop further if business requirements change. If only there was a dedicated tool for interacting with the dbt Cloud API that abstracts away the complexities of the API calls behind an easy-to-use interface… Oh wait, there is: [the dbt-cloud-cli](https://github.com/data-mie/dbt-cloud-cli)! - - - -In this blog post I’ll shine some light on how the dbt-cloud-cli project came to be and how it can make a data/analytics engineer’s work easier. I’ll also walk you through an example use case where we download a dbt Cloud job run catalog.json artifact and implement a simple data catalog app using the same tools that were used in creating dbt-cloud-cli. - -## What is dbt-cloud-cli and why should you use it? - -What kicked off this project came from the fact that there is currently no easy-to-use interface for the dbt Cloud API. In order to make calls to the API you’d need to write custom scripts that use tools like cURL or Python Requests. There’s nothing inherently wrong with custom scripts but there is an overhead in writing and maintaining those scripts. - -Readability is also a factor the importance of which cannot be overstated. With most programming languages, [the ratio of time reading vs writing code is well over 10:1](https://app.works/the-importance-of-code-readability/#:~:text=What%20is%20code%20readability%3F,or%20add%20a%20new%20feature.). Good code is easily readable and understandable by ourselves and other developers and it minimizes the cognitive load of deciphering what was the original intention of the author. - -dbt-cloud-cli is a command line interface (CLI) that abstracts dbt Cloud API calls behind a user-friendly and elegant interface. The CLI is written in Python using [pydantic](https://pydantic-docs.helpmanual.io/) and [click](https://click.palletsprojects.com/en/8.0.x/). Let me demonstrate the difference in complexity and readability between cURL vs dbt-cloud-cli for triggering a dbt Cloud job run: - - - - -```bash -curl -H "Authorization:Token $DBT_CLOUD_API_TOKEN" -H "Content-Type:application/json" -d '{"cause":"Triggered using cURL"}' https://cloud.getdbt.com/api/v2/accounts/$DBT_CLOUD_ACCOUNT_ID/jobs/43167/run/ -``` - - - - -``` -dbt-cloud job run --job-id 43167 -``` - - - - -You probably agree that the latter example is definitely more elegant and easier to read. `dbt-cloud` handles the request boilerplate (e.g., api token in the header, endpoint URL) so that you don’t need to worry about authentication or remember which endpoint to use. Also, the CLI implements additional functionality (e.g., `--wait`) for some endpoints; for example, `dbt cloud job run --wait` will issue the job trigger, wait until the job finishes, fails or is cancelled and then prints out the job status response. - -In addition to CLI commands that interact with a single dbt Cloud API endpoint there are composite helper commands that call one or more API endpoints and perform more complex operations. One example of composite commands are `dbt-cloud job export` and `dbt-cloud job import` where, under the hood, the export command performs a `dbt-cloud job get` and writes the job metadata to a file and the import command reads job parameters from a JSON file and calls `dbt-cloud job create`. The export and import commands can be used in tandem to move dbt Cloud jobs between projects. Another example is the `dbt-cloud job delete-all` which fetches a list of all jobs using `dbt-cloud job list` and then iterates over the list prompting the user if they want to delete the job. For each job that the user agrees to delete a `dbt-cloud job delete` is performed. - -To install the CLI in your Python environment run `python -m pip install dbt-cloud-cli` and you’re all set. You can use it locally in your development environment or e.g. in a GitHub actions workflow. - -## How the project came to be - -I’m a freelance data and analytics engineer and almost all of the projects I work with involve dbt Cloud one way or another. In a typical project, we’d set up a simple “run and test” job in dbt Cloud that is scheduled to run once or twice a day. Often there’d also be a [continuous integration job](https://docs.getdbt.com/docs/dbt-cloud/using-dbt-cloud/cloud-enabling-continuous-integration) that runs on Pull Requests in GitHub. - -These two job triggering methods (i.e., cron and PR trigger) are sufficient in most projects, but there are some cases where additional control over when a job is run or what else is executed in the job’s context is needed. For example, you may need to load data to your database before a job is run or download artifacts after the run is finished. - -In my case, we didn’t yet have an EL pipeline for an external data source. So, we hacked together a simple Python script for loading the data and ran the script as part of our CI workflow in GitHub Actions before triggering a dbt Cloud job. This would ensure that the data in our database was up-to-date before the job ran. - -Initially, we issued the dbt Cloud API requests to trigger job runs using cURL and it worked perfectly fine until we needed to implement a waiting loop that periodically checked the job status and returned when the job was finished. Luckily I found a Python script by Sean McIntyre ([see the dbt Discourse post](https://discourse.getdbt.com/t/triggering-a-dbt-cloud-job-in-your-automated-workflow-with-python/2573)) that does exactly this. - -I modified the script according to our needs and wrapped it in a `dbt-cloud job run` CLI command using click (actually the entry point wasn’t `dbt-cloud` at that time but you get the idea). Click (“Command Line Interface Creation Kit”) is a Python library for creating CLIs with as little code as necessary. Implementing a simple CLI using click only requires adding a few decorators (e.g., `group`, `command` and `option`) to the functions in your code and you’re good to go. - -Now we had exactly what we wanted and our CI workflow in GitHub actions looked slick: - -``` -- name: Trigger dbt Cloud job run - run: | - ./cool_script_bro.sh - dbt-cloud job run --job-id $DBT_CLOUD_JOB_ID -``` - -Fast forward a month or two and there was another client that needed something similar. I felt that this was an opportunity to open source the project not just to benefit me and my clients but also [the broader dbt community](https://www.getdbt.com/community/) (❤️). So, I moved the project to a public github repository with a goal of eventually covering all of the dbt Cloud API endpoints. - -While working with the initial 0.1.0 release that included only the `dbt-cloud job run` command I decided to have some fun and try how well pydantic (Python dataclasses on steroids!) and `click` worked together. I’m a big fan of `pydantic`, and I’ve used it in a wide variety of projects including machine learning models and automated testing software for a medical device. Even though Python has had built-in dataclasses since version 3.7, they fall short when it comes to data validation and general developer ergonomics (IMO) and that’s where `pydantic` comes in; among other things, `pydantic` implements a validator decorator that is used to define custom validations for model fields (e.g., CLI arguments). - -I refactored the `dbt-cloud-cli` code so that the CLI commands were now implemented as pydantic models where the model fields are the dbt Cloud API endpoint arguments. The `pydantic` model fields could now be translated to `click` arguments which resulted in the following CLI command implementation pattern: - -```python -import click -from dbt_cloud.command import DbtCloudJobGetCommand - -@click.group() -def dbt_cloud(): - pass - -@dbt_cloud.group() -def job(): - pass - -@job.command(help=DbtCloudJobGetCommand.get_description()) -@DbtCloudJobGetCommand.click_options -def get(**kwargs): - command = DbtCloudJobGetCommand.from_click_options(**kwargs) - execute_and_print(command) -``` - -After the initial release I started to expand to cover the rest of the dbt Cloud API endpoints. For a list of all the covered API endpoints and implemented CLI commands, see https://github.com/data-mie/dbt-cloud-cli. - -## Creating a data catalog app using dbt Cloud artifacts - -In this example we’ll download a `catalog.json` artifact from the latest run of a dbt Cloud job using `dbt-cloud run list` and `dbt-cloud get-artifact` and then write a simple Data Catalog CLI application using the same tools that are used in `dbt-cloud-cli` (i.e., `click` and `pydantic`). Let’s dive right in! - -The first command we need is the `dbt-cloud run list` which uses an [API endpoint](https://docs.getdbt.com/dbt-cloud/api-v2#/operations/List%20Runs) that returns runs sorted by creation date, with the most recent run appearing first. The command returns a JSON response that has one top-level attribute `data` that contains a list of runs. We’ll need to extract the `id` attribute of the first one and to do that we use [jq](https://stedolan.github.io/jq/): - -``` -latest_run_id=$(dbt-cloud run list --job-id $DBT_CLOUD_JOB_ID | jq .data[0].id -r) -``` - -Next, we use the `dbt-cloud get-artifact` command to download the `catalog.json` artifact: - -``` -dbt-cloud run get-artifact --run-id $latest_run_id --path catalog.json -f catalog.json -``` - -To explore the downloaded catalog file we’ll write a simple CLI application. The [catalog.json](https://schemas.getdbt.com/dbt/catalog/v1.json) has four top level properties: metadata, nodes, sources and errors. In this example we explore the nodes and sources only and leave the metadata and errors out. - -First, we need a `Catalog` abstraction that reflects the catalog JSON schema: - -```py -from typing import Optional, Dict, Any -from pydantic import BaseModel, Field - -class Stats(BaseModel): - """Represent node stats in the Catalog.""" - - id: str - label: str - value: Any - include: bool - description: str - - def __str__(self): - return f"{self.label}: {self.value}" - - -class Column(BaseModel): - """Represents a column in the Catalog.""" - - type: str - index: int - name: str - comment: Optional[str] - - def __str__(self): - return f"{self.name} (type: {self.type}, index: {self.index}, comment: {self.comment})" - - -class Node(BaseModel): - """Represents a node in the Catalog.""" - - unique_id: str - metadata: Dict[str, Optional[str]] - columns: Dict[str, Column] - stats: Dict[str, Stats] - - @property - def name(self): - return self.metadata["name"] - - @property - def database(self): - return self.metadata["database"] - - @property - def schema(self): - return self.metadata["schema"] - - @property - def type(self): - return self.metadata["type"] - - def __gt__(self, other): - return self.name > other.name - - def __lt__(self, other): - return self.name < other.name - - def __str__(self): - return f"{self.name} (type: {self.type}, schema: {self.schema}, database: {self.database})" - - -class Catalog(BaseModel): - """Represents a dbt catalog.json artifact.""" - - metadata: Dict - nodes: Dict[str, Node] - sources: Dict[str, Node] - errors: Optional[Dict] -``` - -The four abstractions (`Stats`,`Column`, `Node `and `Catalog`) all inherit [the pydantic BaseModel](https://pydantic-docs.helpmanual.io/usage/models/) which implements various methods for parsing files and other python objects into model instances. We’ll leave the parsing to pydantic (i.e., `BaseModel.parse_file` classmethod) so that we can focus solely on the app logic. - -The `CatalogExploreCommand` abstraction implements the CLI app which is then wrapped in a `click.command` that implements the CLI entry point. The `CatalogExploreCommand` class inherits `ClickBaseModel` that implements a `click_options` classmethod which we’ll use to decorate the entry point. This method is where the pydantic to click translation magic happens (i.e., pydantic model fields are translated [into click options](https://click.palletsprojects.com/en/8.0.x/options/)). Note that the app [uses inquirer](https://github.com/magmax/python-inquirer) in addition to `click` to create interactive “select option from a list” CLI prompts. - -```py -import click -from enum import Enum -from pathlib import Path -from pydantic import Field -from dbt_cloud.command.command import ClickBaseModel - -class NodeType(Enum): - SOURCE = "source" - NODE = "node" - - -class CatalogExploreCommand(ClickBaseModel): - """An inteactive application for exploring catalog artifacts.""" - - file: Path = Field(default="catalog.json", description="Catalog file path.") - title: str = Field( - default="Data Catalog", description="ASCII art title for the app." - ) - title_font: str = Field( - default="rand-large", - description="ASCII art title font (see https://github.com/sepandhaghighi/art#try-art-in-your-browser for a list of available fonts)", - ) - - def get_catalog(self) -> Catalog: - return Catalog.parse_file(self.file) - - def print_title(self): - from art import tprint - - tprint(self.title, font=self.title_font) - - def execute(self): - import inquirer - - self.print_title() - - while True: - node_type_options = [ - inquirer.List( - "node_type", - message="Select node type to explore", - choices=[node_type.value for node_type in NodeType], - ) - ] - node_type = NodeType(inquirer.prompt(node_type_options)["node_type"]) - self.explore(node_type=node_type) - if not click.confirm("Explore another node type?"): - break - - def explore(self, node_type: NodeType): - """Interactive exploration of nodes to explore and display their metadata""" - import inquirer - - catalog = self.get_catalog() - if node_type == NodeType.SOURCE: - nodes = list(catalog.sources.values()) - else: - nodes = list(catalog.nodes.values()) - - while True: - databases = sorted(set(map(lambda x: x.database, nodes))) - database_options = [ - inquirer.List("database", message="Select database", choices=databases) - ] - database = inquirer.prompt(database_options)["database"] - nodes_filtered = list(filter(lambda x: x.database == database, nodes)) - - schemas = sorted(set(map(lambda x: x.schema, nodes_filtered))) - schema_options = [ - inquirer.List("schema", message="Select schema", choices=schemas) - ] - schema = inquirer.prompt(schema_options)["schema"] - nodes_filtered = list(filter(lambda x: x.schema == schema, nodes_filtered)) - - node_options = [ - inquirer.List( - "node", message="Select node", choices=sorted(nodes_filtered) - ) - ] - node = inquirer.prompt(node_options)["node"] - click.echo(f"{node.name} columns:") - for column in node.columns.values(): - click.echo(f"- {column}") - click.echo("") - for stats in node.stats.values(): - if stats.id == "has_stats": - continue - click.echo(stats) - if not click.confirm(f"Explore another {node_type.value}?"): - break - - -@click.command(help=CatalogExploreCommand.get_description()) -@CatalogExploreCommand.click_options -def data_catalog(**kwargs): - command = CatalogExploreCommand.from_click_options(**kwargs) - command.execute() -``` - -The `CatalogExploreCommand.execute` method implements the interactive exploration logic. First the app prompts to select a node type to explore (`source` or `node`) and then it asks the user to select a database, a schema in the selected database and finally a model in the selected schema. The app then prints out the model columns and stats (if there are any). All this is wrapped in a loop with “Explore another node? [y/N]” and “Explore another node type? [y/N]” prompts for either continuing the loop or breaking out of it. - -I’ve included the app in the latest version of dbt-cloud-cli so you can test it out yourself! To use the app you need install dbt-cloud-cli with extra dependencies: - -```bash -python -m pip install dbt-cloud-cli[demo] -``` - -Now you can the run app: - -```bash -dbt-cloud demo data-catalog --file catalog.json -``` - -## Parting thoughts - -To summarize, the `dbt-cloud-cli`I implements an easy-to-use command line interface for the dbt Cloud API which abstracts away the complexities of the API calls. The CLI has interfaces to many of the API endpoints and covering all of the endpoints is on the project’s roadmap. For a list of all the covered API endpoints and implemented CLI commands, see https://github.com/data-mie/dbt-cloud-cli. - -In addition to commands that interact with a single dbt Cloud API endpoint there are composite helper commands that call one or more API endpoints and perform more complex operations (e.g., `dbt-cloud job export` and `dbt-cloud job import`). - -The `dbt-cloud-cli` makes interacting with the dbt Cloud API a breeze compared to using and maintaining custom cURL/ Python Requests scripts. Furthermore, `dbt-cloud-cli` commands handle all the API call boilerplate under the hood so that you don’t need to google or memorize how to interact with the API. And when in doubt, just add a `--help` flag to a `dbt-cloud-cli` command and you’ll get a list of all the available commands or arguments. - - -PS. There are still API endpoints that haven’t been implemented in the CLI. If there’s an endpoint you’d like a CLI command for you can open an issue in the GitHub repository. All contributions to the project (be it documentation in README or new CLI commands) are welcome! If you have any questions on the project or how to contribute, feel free to drop me a DM in dbt Slack. diff --git a/website/vercel.json b/website/vercel.json index 849fe5174aa..61679ea4276 100644 --- a/website/vercel.json +++ b/website/vercel.json @@ -2,6 +2,11 @@ "cleanUrls": true, "trailingSlash": false, "redirects": [ + { + "source": "/blog/making-dbt-cloud-api-calls-using-dbt-cloud-cli", + "destination": "/docs/dbt-cloud-apis/overview", + "permanent": true + }, { "source": "/docs/cloud/git/setup-azure", "destination": "/docs/cloud/git/connect-azure-devops", From 535f2a54547166ea108e0de997bb2ede2f56d921 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 30 Jan 2025 09:04:56 +0000 Subject: [PATCH 24/29] Update gitlab-token-refresh.md --- website/docs/faqs/Git/gitlab-token-refresh.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/faqs/Git/gitlab-token-refresh.md b/website/docs/faqs/Git/gitlab-token-refresh.md index 60ac0b0bc35..9a7f75f0266 100644 --- a/website/docs/faqs/Git/gitlab-token-refresh.md +++ b/website/docs/faqs/Git/gitlab-token-refresh.md @@ -11,6 +11,6 @@ By default, the project access token follows a naming pattern: `dbt Cloud token If you're receiving a "Refresh token" message, don't worry — dbt Cloud automatically refreshes this project access token for you, which means you never have to manually rotate it. -If you still experience any token refresh errors, please try disconnecting and reconnecting the repository in dbt Cloud to refresh the token. +If you still experience any token refresh errors, please try disconnecting and reconnecting the repository in your dbt Cloud project to refresh the token. For any issues, please reach out to the Support team at support@getdbt.com and we'll be happy to help! From a170783232659380b4adc1b4beefba61876a61d0 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 30 Jan 2025 10:41:42 +0000 Subject: [PATCH 25/29] Update website/docs/docs/collaborate/explore-projects.md --- website/docs/docs/collaborate/explore-projects.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/collaborate/explore-projects.md b/website/docs/docs/collaborate/explore-projects.md index 5ad5962be83..cbf70af6158 100644 --- a/website/docs/docs/collaborate/explore-projects.md +++ b/website/docs/docs/collaborate/explore-projects.md @@ -47,7 +47,7 @@ dbt Explorer uses the metadata provided by the [Discovery API](/docs/dbt-cloud-a | To view in Explorer | You must successfully run | |---------------------|---------------------------| -| All metadata | [dbt build](/reference/commands/build) and [dbt docs generate](/reference/commands/cmd-docs) together as part of the same job in the environment +| All metadata | [dbt build](/reference/commands/build), [dbt docs generate](/reference/commands/cmd-docs), and [dbt source freshness](/reference/commands/source#dbt-source-freshness) together as part of the same job in the environment | Model lineage, details, or results | [dbt run](/reference/commands/run) or [dbt build](/reference/commands/build) on a given model within a job in the environment | | Columns and statistics for models, sources, and snapshots| [dbt docs generate](/reference/commands/cmd-docs) within [a job](/docs/collaborate/build-and-view-your-docs) in the environment | | Test results | [dbt test](/reference/commands/test) or [dbt build](/reference/commands/build) within a job in the environment | From 41627c46f0254fe40d175d289f9b3ba92c930b3c Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 30 Jan 2025 15:50:31 +0000 Subject: [PATCH 26/29] Update dbt_valid_to_current.md fix wrong example --- .../reference/resource-configs/dbt_valid_to_current.md | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/website/docs/reference/resource-configs/dbt_valid_to_current.md b/website/docs/reference/resource-configs/dbt_valid_to_current.md index 9cf2ca0860e..66188e9fb88 100644 --- a/website/docs/reference/resource-configs/dbt_valid_to_current.md +++ b/website/docs/reference/resource-configs/dbt_valid_to_current.md @@ -12,8 +12,9 @@ id: "dbt_valid_to_current" ```yaml snapshots: - my_project: - +dbt_valid_to_current: "to_date('9999-12-31')" + - name: my_snapshot + config: + dbt_valid_to_current: "string" ``` @@ -27,7 +28,7 @@ snapshots: unique_key='id', strategy='timestamp', updated_at='updated_at', - dbt_valid_to_current='to_date('9999-12-31')' + dbt_valid_to_current='string' ) }} ``` @@ -39,7 +40,7 @@ snapshots: ```yml snapshots: [](/reference/resource-configs/resource-path): - +dbt_valid_to_current: "to_date('9999-12-31')" + +dbt_valid_to_current: "string" ``` From bcdf78c223207a96a5b9a8ca1915048621475dd1 Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Fri, 31 Jan 2025 10:35:54 -0800 Subject: [PATCH 27/29] Update CODEOWNERS --- .github/CODEOWNERS | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS index 1983b0201d9..80712bd2847 100644 --- a/.github/CODEOWNERS +++ b/.github/CODEOWNERS @@ -7,7 +7,7 @@ /website/docs/docs/supported-data-platforms.md @dbt-labs/product-docs @amychen1776 /website/docs/reference/warehouse-setups @dbt-labs/product-docs @amychen1776 # `resource-configs` contains more than just warehouse setups -/website/docs/reference/resource-configs/*-configs.md @dbt-labs/product-docs @amychen1776 +/website/docs/reference/resource-configs/*-configs.md @dbt-labs/product-docs /website/docs/guides/advanced/adapter-development @dbt-labs/product-docs @amychen1776 /website/docs/guides/building-packages @dbt-labs/product-docs @amychen1776 From 96f64a84239386014867d87a75a7883c1b75f7dc Mon Sep 17 00:00:00 2001 From: Louis Auneau Date: Fri, 31 Jan 2025 16:20:41 -0500 Subject: [PATCH 28/29] Python models Dataproc Serverless setup with packages (#5920) Add description on how to setup python models with Dataproc Serverless using a custom image in order to use third-party packages. ## What are you changing in this pull request and why? In the context of running Python models in Spark using Dataproc, the documentation ([python-models.md](https://github.com/dbt-labs/docs.getdbt.com/blob/current/website/docs/docs/build/python-models.md)) says: > Installing packages: If you are using a Dataproc Cluster (as opposed to Dataproc Serverless), you can add third-party packages while creating the cluster. I dug and found it is possible to run python models using third-party packages in dataproc serverless. It requires to use a custom docker image. This is very well documented on GCP's end. We currently run this in prod without any issue. I added this in the documentation. Let me know if you need more details on how to set this up. ## Checklist - [x] Review 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. - [x] For [docs versioning](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#about-versioning), review how to [version a whole page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) and [version a block of content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content). - [x] Add a checklist item for anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." Adding or removing pages (delete if not applicable): N/A --------- Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> --- website/docs/docs/build/python-models.md | 37 ++++++++++++++++++++---- 1 file changed, 32 insertions(+), 5 deletions(-) diff --git a/website/docs/docs/build/python-models.md b/website/docs/docs/build/python-models.md index eac477b03fd..c016ebc3c47 100644 --- a/website/docs/docs/build/python-models.md +++ b/website/docs/docs/build/python-models.md @@ -815,13 +815,40 @@ storage.objects.create storage.objects.delete ``` -**Installing packages:** If you are using a Dataproc Cluster (as opposed to Dataproc Serverless), you can add third-party packages while creating the cluster. +**Installing packages:** -Google recommends installing Python packages on Dataproc clusters via initialization actions: -- [How initialization actions are used](https://github.com/GoogleCloudDataproc/initialization-actions/blob/master/README.md#how-initialization-actions-are-used) -- [Actions for installing via `pip` or `conda`](https://github.com/GoogleCloudDataproc/initialization-actions/tree/master/python) +Installation of third-party packages on Dataproc varies depending on whether it's a [cluster](https://cloud.google.com/dataproc/docs/guides/create-cluster) or [serverless](https://cloud.google.com/dataproc-serverless/docs). -You can also install packages at cluster creation time by [defining cluster properties](https://cloud.google.com/dataproc/docs/tutorials/python-configuration#image_version_20): `dataproc:pip.packages` or `dataproc:conda.packages`. +- **Dataproc Cluster** — Google recommends installing Python packages while creating the cluster via initialization actions: + - [How initialization actions are used](https://github.com/GoogleCloudDataproc/initialization-actions/blob/master/README.md#how-initialization-actions-are-used) + - [Actions for installing via `pip` or `conda`](https://github.com/GoogleCloudDataproc/initialization-actions/tree/master/python) + + You can also install packages at cluster creation time by [defining cluster properties](https://cloud.google.com/dataproc/docs/tutorials/python-configuration#image_version_20): `dataproc:pip.packages` or `dataproc:conda.packages`. + +- **Dataproc Serverless** — Google recommends using a [custom docker image](https://cloud.google.com/dataproc-serverless/docs/guides/custom-containers) to install thrid-party packages. The image needs to be hosted in [Google Artifact Registry](https://cloud.google.com/artifact-registry/docs). It can then be used by providing the image path in dbt profiles: + + + ```yml + my-profile: + target: dev + outputs: + dev: + type: bigquery + method: oauth + project: abc-123 + dataset: my_dataset + + # for dbt Python models to be run on Dataproc Serverless + gcs_bucket: dbt-python + dataproc_region: us-central1 + submission_method: serverless + dataproc_batch: + runtime_config: + container_image: {HOSTNAME}/{PROJECT_ID}/{IMAGE}:{TAG} + ``` + + + From fd7f092498dee41b630eadedb345150a254adce0 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Mon, 3 Feb 2025 09:53:32 +0000 Subject: [PATCH 29/29] remove typo --- website/snippets/_cloud-environments-info.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/snippets/_cloud-environments-info.md b/website/snippets/_cloud-environments-info.md index cc153cf38a8..8b06cc92b5a 100644 --- a/website/snippets/_cloud-environments-info.md +++ b/website/snippets/_cloud-environments-info.md @@ -49,7 +49,7 @@ For more info, check out this [FAQ page on this topic](/faqs/Environments/custom ### Extended attributes :::note -Extended attributes are are currently _not_ supported for SSH tunneling +Extended attributes are currently _not_ supported for SSH tunneling ::: Extended attributes allows users to set a flexible [profiles.yml](/docs/core/connect-data-platform/profiles.yml) snippet in their dbt Cloud Environment settings. It provides users with more control over environments (both deployment and development) and extends how dbt Cloud connects to the data platform within a given environment.