From f57c64fcbfe76edac11345e4b30ffe68bc2f7bc7 Mon Sep 17 00:00:00 2001 From: Ly Nguyen Date: Fri, 19 Jan 2024 13:06:33 -0800 Subject: [PATCH 01/20] Explorer's column level lineage feature --- .../docs/collaborate/column-level-lineage.md | 50 ++++++++++++++++++ website/sidebars.js | 1 + .../collaborate/dbt-explorer/example-cll.png | Bin 0 -> 35402 bytes .../example-parsing-error-pill.png | Bin 0 -> 237408 bytes 4 files changed, 51 insertions(+) create mode 100644 website/docs/docs/collaborate/column-level-lineage.md create mode 100644 website/static/img/docs/collaborate/dbt-explorer/example-cll.png create mode 100644 website/static/img/docs/collaborate/dbt-explorer/example-parsing-error-pill.png diff --git a/website/docs/docs/collaborate/column-level-lineage.md b/website/docs/docs/collaborate/column-level-lineage.md new file mode 100644 index 00000000000..0f09f785fa5 --- /dev/null +++ b/website/docs/docs/collaborate/column-level-lineage.md @@ -0,0 +1,50 @@ +--- +title: "Column level lineage (beta)" +description: "Use dbt Explorer's column level lineage to gain insights about your data at a granular level." +--- + +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. + +Column level lineage is available to dbt Cloud Enterprise accounts that can use Explorer. It’s also available through the Discovery API. + +:::tip Beta +Column-level lineage is now available in beta. Check it out! We'd love to [know what you think](https://docs.google.com/forms/d/e/1FAIpQLSdpCbVkGY9QwfExFonpWE4DTOKi3fQxBGLD0wwKYpkMjgcE7g/viewform)! +::: + +## Access the column level lineage + +There is no additional setup required for column level lineage if your account is on an Enterprise plan that can use Explorer. You can access the column level lineage by expanding the column card in the **Columns** tab of an Explorer [resource details page](/docs/collaborate/explore-projects#view-resource-details) for a model, source, or snapshot. + +dbt updates the lineage after each run that's executed in the production environment. You must make sure that `docs generate` is running within at least one job in the environment. Refer to [Generating metadata](/docs/collaborate/explore-projects#generate-metadata) for more details. + + + + + +## Column level lineage use cases {#use-cases} + +Learn more about why and how you can use column level lineage in these sections. + +### Root cause analysis + +When there is an unexpected breakage in a data pipeline, column level lineage can be a valuable tool to understand the exact point in the pipeline where the error took place. For example, a failing data test on a particular column in your dbt model might've stemmed from an untested column upstream. Using CLL can help quickly identify and fix breakages when they happen. + +### Impact analysis + +During development, analytics engineers can use column level lineage to understand the full scope of the impact of their proposed changes. This knowledge empowers them to create higher quality pull requests that require less rework, as they can anticipate and preempt issues that would've been unchecked without column level insights. + +### Collaboration and efficiency + +When exploring your data products, navigating column lineage allows analytics engineers and data analysts to more easily navigate and understand the origin and usage of their data, enabling them to make better decisions with higher confidence. + +## Caveats + +Column level lineage relies on SQL parsing. Errors can occur when parsing fails or a column's origin is unknown (like with JSON unpacking, lateral joins, and so forth). In these cases, lineage may be incomplete and dbt Cloud will provide a warning about it in the column lineage. To review the error details, open the [full lineage graph](/docs/collaborate/explore-projects#project-lineage) and select the node to open the column’s details panel. + + + +Possible error cases are: + +- **Parsing error** — Error occurs when the SQL is ambiguous or too complex for parsing. An example of ambiguous parsing scenarios are _complex_ lateral joins. +- **Python error** — Error occurs when a Python model is used within the lineage. Due to the nature of Python models, it's not possible to parse and determine the lineage. +- **Unknown error** — Error occurs when the lineage can't be determined for an unknown reason. 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0f09f785fa5..53ad5e8716f 100644 --- a/website/docs/docs/collaborate/column-level-lineage.md +++ b/website/docs/docs/collaborate/column-level-lineage.md @@ -1,37 +1,37 @@ --- -title: "Column level lineage (beta)" -description: "Use dbt Explorer's column level lineage to gain insights about your data at a granular level." +title: "Column-level lineage (beta)" +description: "Use dbt Explorer's column-level lineage to gain insights about your data at a granular level." --- -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. +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. -Column level lineage is available to dbt Cloud Enterprise accounts that can use Explorer. It’s also available through the Discovery API. +CLL is available to dbt Cloud Enterprise accounts that can use Explorer. It’s also available through the [Discovery API](/docs/dbt-cloud-apis/discovery-api). :::tip Beta Column-level lineage is now available in beta. Check it out! We'd love to [know what you think](https://docs.google.com/forms/d/e/1FAIpQLSdpCbVkGY9QwfExFonpWE4DTOKi3fQxBGLD0wwKYpkMjgcE7g/viewform)! ::: -## Access the column level lineage +## Access the column-level lineage -There is no additional setup required for column level lineage if your account is on an Enterprise plan that can use Explorer. You can access the column level lineage by expanding the column card in the **Columns** tab of an Explorer [resource details page](/docs/collaborate/explore-projects#view-resource-details) for a model, source, or snapshot. +There is no additional setup required for CLL if your account is on an Enterprise plan that can use Explorer. You can access the CLL by expanding the column card in the **Columns** tab of an Explorer [resource details page](/docs/collaborate/explore-projects#view-resource-details) for a model, source, or snapshot. -dbt updates the lineage after each run that's executed in the production environment. You must make sure that `docs generate` is running within at least one job in the environment. Refer to [Generating metadata](/docs/collaborate/explore-projects#generate-metadata) for more details. +dbt updates the lineage after each run that's executed in the production environment. You must make sure that `docs generate` runs within at least one job in the environment. Refer to [Generating metadata](/docs/collaborate/explore-projects#generate-metadata) for more details. -## Column level lineage use cases {#use-cases} +## Column-level lineage use cases {#use-cases} -Learn more about why and how you can use column level lineage in these sections. +Learn more about why and how you can use CLL in the following sections. ### Root cause analysis -When there is an unexpected breakage in a data pipeline, column level lineage can be a valuable tool to understand the exact point in the pipeline where the error took place. For example, a failing data test on a particular column in your dbt model might've stemmed from an untested column upstream. Using CLL can help quickly identify and fix breakages when they happen. +When there is an unexpected breakage in a data pipeline, column-level lineage can be a valuable tool to understand the exact point where the error occurred in the pipeline. For example, a failing data test on a particular column in your dbt model might've stemmed from an untested column upstream. Using CLL can help quickly identify and fix breakages when they happen. ### Impact analysis -During development, analytics engineers can use column level lineage to understand the full scope of the impact of their proposed changes. This knowledge empowers them to create higher quality pull requests that require less rework, as they can anticipate and preempt issues that would've been unchecked without column level insights. +During development, analytics engineers can use column-level lineage to understand the full scope of the impact of their proposed changes. This knowledge empowers them to create higher quality pull requests that require fewer edits, as they can anticipate and preempt issues that would've been unchecked without column-level insights. ### Collaboration and efficiency @@ -39,10 +39,14 @@ When exploring your data products, navigating column lineage allows analytics en ## Caveats -Column level lineage relies on SQL parsing. Errors can occur when parsing fails or a column's origin is unknown (like with JSON unpacking, lateral joins, and so forth). In these cases, lineage may be incomplete and dbt Cloud will provide a warning about it in the column lineage. To review the error details, open the [full lineage graph](/docs/collaborate/explore-projects#project-lineage) and select the node to open the column’s details panel. +Column-level lineage relies on SQL parsing. Errors can occur when parsing fails or a column's origin is unknown (like with JSON unpacking, lateral joins, and so on). In these cases, lineage may be incomplete and dbt Cloud will provide a warning about it in the column lineage. +To review the error details: +1. Click the Expand icon in the upper right corner to open the column's lineage graph +1. Select the node to open the column’s details panel + Possible error cases are: - **Parsing error** — Error occurs when the SQL is ambiguous or too complex for parsing. An example of ambiguous parsing scenarios are _complex_ lateral joins. From 9dd2557af94f1bfd2feb1b71944d9a3387b6bf91 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Mon, 22 Jan 2024 09:44:15 -0800 Subject: [PATCH 03/20] Update website/docs/docs/collaborate/column-level-lineage.md Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- website/docs/docs/collaborate/column-level-lineage.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/collaborate/column-level-lineage.md b/website/docs/docs/collaborate/column-level-lineage.md index 53ad5e8716f..3fdb01147a0 100644 --- a/website/docs/docs/collaborate/column-level-lineage.md +++ b/website/docs/docs/collaborate/column-level-lineage.md @@ -44,7 +44,7 @@ Column-level lineage relies on SQL parsing. Errors can occur when parsing fails To review the error details: -1. Click the Expand icon in the upper right corner to open the column's lineage graph +1. Click the **Expand** icon in the upper right corner to open the column's lineage graph 1. Select the node to open the column’s details panel Possible error cases are: From ff9155d4d9f806820603b05de03d01eb4704c654 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Mon, 22 Jan 2024 13:12:41 -0800 Subject: [PATCH 04/20] Update website/docs/docs/collaborate/column-level-lineage.md Co-authored-by: dave-connors-3 <73915542+dave-connors-3@users.noreply.github.com> --- website/docs/docs/collaborate/column-level-lineage.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/collaborate/column-level-lineage.md b/website/docs/docs/collaborate/column-level-lineage.md index 3fdb01147a0..8d0a2fd6107 100644 --- a/website/docs/docs/collaborate/column-level-lineage.md +++ b/website/docs/docs/collaborate/column-level-lineage.md @@ -15,7 +15,7 @@ Column-level lineage is now available in beta. Check it out! We'd love to [know There is no additional setup required for CLL if your account is on an Enterprise plan that can use Explorer. You can access the CLL by expanding the column card in the **Columns** tab of an Explorer [resource details page](/docs/collaborate/explore-projects#view-resource-details) for a model, source, or snapshot. -dbt updates the lineage after each run that's executed in the production environment. You must make sure that `docs generate` runs within at least one job in the environment. Refer to [Generating metadata](/docs/collaborate/explore-projects#generate-metadata) for more details. +dbt updates the lineage after each run that's executed in the production environment. You must make sure that `dbt docs generate` runs within at least one job in the environment. Refer to [Generating metadata](/docs/collaborate/explore-projects#generate-metadata) for more details. From c472fea2b28553479b56aa39922b9700084115b3 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Mon, 22 Jan 2024 15:40:19 -0800 Subject: [PATCH 05/20] Create internal-orch-team.yml Add new issue type for the Orchestration team --- .github/ISSUE_TEMPLATE/internal-orch-team.yml | 49 +++++++++++++++++++ 1 file changed, 49 insertions(+) create mode 100644 .github/ISSUE_TEMPLATE/internal-orch-team.yml diff --git a/.github/ISSUE_TEMPLATE/internal-orch-team.yml b/.github/ISSUE_TEMPLATE/internal-orch-team.yml new file mode 100644 index 00000000000..85f8b2f125b --- /dev/null +++ b/.github/ISSUE_TEMPLATE/internal-orch-team.yml @@ -0,0 +1,49 @@ +name: Orchestration team: Request changes to docs +description: File a docs update request that is not already tracked in Orch team's Release Plans (Notion database). +labels: ["content","improvement","internal-orch-team"] +body: + - type: markdown + attributes: + value: | + * You can ask questions or submit ideas for the dbt docs in [Issues](https://github.com/dbt-labs/docs-internal/issues/new/choose) + * Before you file an issue read the [Contributing guide](https://github.com/dbt-labs/docs-internal#contributing). + * Check to make sure someone hasn't already opened a similar [issue](https://github.com/dbt-labs/docs-internal/issues). + + - type: checkboxes + id: contributions + attributes: + label: Contributions + description: Please read the contribution docs before opening an issue or pull request. + options: + - label: I have read the contribution docs, and understand what's expected of me. + + - type: textarea + attributes: + label: Link to the page on docs.getdbt.com requiring updates + description: Please link to the page or pages you'd like to see improved. + validations: + required: true + + - type: textarea + attributes: + label: What part(s) of the page would you like to see updated? + description: | + - Give as much detail as you can to help us understand the change you want to see. + - Why should the docs be changed? What use cases does it support? + - What is the expected outcome? + validations: + required: true + + - type: textarea + attributes: + label: Reviewers/Stakeholders/SMEs + description: List the reviewers, stakeholders, and subject matter experts (SMEs) to collaborate with for the docs update. + validations: + required: true + + - type: textarea + attributes: + label: Related Jira tickets + description: Add any other context or screenshots about the feature request here. + validations: + required: false From 31fd102d48712983251e4a5c5003d22d308e84b7 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Mon, 22 Jan 2024 15:55:01 -0800 Subject: [PATCH 06/20] Update internal-orch-team.yml Fix YML syntax error --- .github/ISSUE_TEMPLATE/internal-orch-team.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/ISSUE_TEMPLATE/internal-orch-team.yml b/.github/ISSUE_TEMPLATE/internal-orch-team.yml index 85f8b2f125b..88868d89b32 100644 --- a/.github/ISSUE_TEMPLATE/internal-orch-team.yml +++ b/.github/ISSUE_TEMPLATE/internal-orch-team.yml @@ -1,4 +1,4 @@ -name: Orchestration team: Request changes to docs +name: Orchestration team - Request changes to docs description: File a docs update request that is not already tracked in Orch team's Release Plans (Notion database). labels: ["content","improvement","internal-orch-team"] body: From 751ba17e2c4f5c7a2bcea7e668aa30dc742119e2 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Mon, 22 Jan 2024 16:18:19 -0800 Subject: [PATCH 07/20] Update internal-orch-team.yml Minor nit to issue template --- .github/ISSUE_TEMPLATE/internal-orch-team.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/ISSUE_TEMPLATE/internal-orch-team.yml b/.github/ISSUE_TEMPLATE/internal-orch-team.yml index 88868d89b32..50941edab34 100644 --- a/.github/ISSUE_TEMPLATE/internal-orch-team.yml +++ b/.github/ISSUE_TEMPLATE/internal-orch-team.yml @@ -1,6 +1,6 @@ -name: Orchestration team - Request changes to docs +name: [Orchestration team] Request changes to docs description: File a docs update request that is not already tracked in Orch team's Release Plans (Notion database). -labels: ["content","improvement","internal-orch-team"] +labels: ["content","internal-orch-team"] body: - type: markdown attributes: From 107c14a45dcecb86653b85dd6050a1c26091ee55 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Mon, 22 Jan 2024 16:19:18 -0800 Subject: [PATCH 08/20] Update internal-orch-team.yml Fix tiny YAML syntax error --- .github/ISSUE_TEMPLATE/internal-orch-team.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/ISSUE_TEMPLATE/internal-orch-team.yml b/.github/ISSUE_TEMPLATE/internal-orch-team.yml index 50941edab34..8c4d61df10c 100644 --- a/.github/ISSUE_TEMPLATE/internal-orch-team.yml +++ b/.github/ISSUE_TEMPLATE/internal-orch-team.yml @@ -1,4 +1,4 @@ -name: [Orchestration team] Request changes to docs +name: Orchestration team - Request changes to docs description: File a docs update request that is not already tracked in Orch team's Release Plans (Notion database). labels: ["content","internal-orch-team"] body: From 4aa73f7e1761705813269d132bcee493daeb021b Mon Sep 17 00:00:00 2001 From: Ly Nguyen Date: Mon, 22 Jan 2024 16:39:03 -0800 Subject: [PATCH 09/20] Update video link --- website/docs/docs/collaborate/column-level-lineage.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/docs/collaborate/column-level-lineage.md b/website/docs/docs/collaborate/column-level-lineage.md index 53ad5e8716f..69545a8d38b 100644 --- a/website/docs/docs/collaborate/column-level-lineage.md +++ b/website/docs/docs/collaborate/column-level-lineage.md @@ -17,9 +17,9 @@ There is no additional setup required for CLL if your account is on an Enterpris dbt updates the lineage after each run that's executed in the production environment. You must make sure that `docs generate` runs within at least one job in the environment. Refer to [Generating metadata](/docs/collaborate/explore-projects#generate-metadata) for more details. - + - + ## Column-level lineage use cases {#use-cases} @@ -41,7 +41,7 @@ When exploring your data products, navigating column lineage allows analytics en Column-level lineage relies on SQL parsing. Errors can occur when parsing fails or a column's origin is unknown (like with JSON unpacking, lateral joins, and so on). In these cases, lineage may be incomplete and dbt Cloud will provide a warning about it in the column lineage. - + To review the error details: 1. Click the Expand icon in the upper right corner to open the column's lineage graph From ea040fc0e6abbd56b2b5942f2488c7a9e05c53e1 Mon Sep 17 00:00:00 2001 From: Ly Nguyen Date: Mon, 12 Feb 2024 14:27:29 -0800 Subject: [PATCH 10/20] Open beta updates --- website/docs/docs/collaborate/column-level-lineage.md | 8 +++++--- website/docs/docs/collaborate/model-performance.md | 7 +------ website/docs/docs/collaborate/project-recommendations.md | 6 ------ 3 files changed, 6 insertions(+), 15 deletions(-) diff --git a/website/docs/docs/collaborate/column-level-lineage.md b/website/docs/docs/collaborate/column-level-lineage.md index 4c099e97ab4..929695d2d6b 100644 --- a/website/docs/docs/collaborate/column-level-lineage.md +++ b/website/docs/docs/collaborate/column-level-lineage.md @@ -1,14 +1,16 @@ --- -title: "Column-level lineage (beta)" +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. It’s also available through the [Discovery API](/docs/dbt-cloud-apis/discovery-api). -:::tip Beta -Column-level lineage is now available in beta. Check it out! We'd love to [know what you think](https://docs.google.com/forms/d/e/1FAIpQLSdpCbVkGY9QwfExFonpWE4DTOKi3fQxBGLD0wwKYpkMjgcE7g/viewform)! +:::tip Check out our beta +Explorer's CLL is currently available as a [beta](/docs/dbt-versions/product-lifecycles#dbt-cloud) for Enterprise plans. Please check it out! We'd love to [know what you think](https://docs.google.com/forms/d/e/1FAIpQLSdpCbVkGY9QwfExFonpWE4DTOKi3fQxBGLD0wwKYpkMjgcE7g/viewform)! ::: ## Access the column-level lineage diff --git a/website/docs/docs/collaborate/model-performance.md b/website/docs/docs/collaborate/model-performance.md index 5b3b4228210..a7e18b044ca 100644 --- a/website/docs/docs/collaborate/model-performance.md +++ b/website/docs/docs/collaborate/model-performance.md @@ -1,18 +1,13 @@ --- title: "Model performance" sidebar_label: "Model performance" -description: "Learn about ." +description: "Learn about the performance of your models so you can make improvements to save time and money." --- dbt Explorer provides metadata on dbt Cloud runs for in-depth model performance and quality analysis. This feature assists in reducing infrastructure costs and saving time for data teams by highlighting where to fine-tune projects and deployments — such as model refactoring or job configuration adjustments. -:::tip Beta - -The model performance beta feature is now available in dbt Explorer! Check it out! -::: - ## The Performance overview page You can pinpoint areas for performance enhancement by using the Performance overview page. This page presents a comprehensive analysis across all project models and displays the longest-running models, those most frequently executed, and the ones with the highest failure rates during runs/tests. Data can be segmented by environment and job type which can offer insights into: diff --git a/website/docs/docs/collaborate/project-recommendations.md b/website/docs/docs/collaborate/project-recommendations.md index e6263a875fc..7a4ca4bb961 100644 --- a/website/docs/docs/collaborate/project-recommendations.md +++ b/website/docs/docs/collaborate/project-recommendations.md @@ -3,12 +3,6 @@ title: "Project recommendations" sidebar_label: "Project recommendations" description: "dbt Explorer provides recommendations that you can take to improve the quality of your dbt project." --- - -:::tip Beta - -The project recommendations beta feature is now available in dbt Explorer! Check it out! - -::: dbt Explorer provides recommendations about your project from the `dbt_project_evaluator` [package](https://hub.getdbt.com/dbt-labs/dbt_project_evaluator/latest/) using metadata from the Discovery API. From 01d5818f22ea1bb5cc01c19ac4536cd3073e5bb8 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Tue, 13 Feb 2024 14:22:50 +0000 Subject: [PATCH 11/20] update instructions adn add beta flag --- .../docs/use-dbt-semantic-layer/gsheets.md | 25 +++++++++++------- .../docs/use-dbt-semantic-layer/tableau.md | 3 +++ .../semantic-layer/SL-and-gsheets.JPG | Bin 0 -> 58042 bytes 3 files changed, 18 insertions(+), 10 deletions(-) create mode 100644 website/static/img/docs/dbt-cloud/semantic-layer/SL-and-gsheets.JPG diff --git a/website/docs/docs/use-dbt-semantic-layer/gsheets.md b/website/docs/docs/use-dbt-semantic-layer/gsheets.md index d7525fa7b26..d1724006671 100644 --- a/website/docs/docs/use-dbt-semantic-layer/gsheets.md +++ b/website/docs/docs/use-dbt-semantic-layer/gsheets.md @@ -5,6 +5,8 @@ tags: [Semantic Layer] sidebar_label: "Google Sheets (beta)" --- +# Google Sheets + :::info Beta functionality Google Sheets integration with the dbt Semantic Layer is a [beta](/docs/dbt-versions/product-lifecycles#dbt-cloud) feature. ::: @@ -20,25 +22,28 @@ The dbt Semantic Layer offers a seamless integration with Google Sheets through - You must have a dbt Cloud Team or Enterprise [account](https://www.getdbt.com/pricing). Suitable for both Multi-tenant and Single-tenant deployment. - Single-tenant accounts should contact their account representative for necessary setup and enablement. -## Installing the add-on - -1. Navigate to the [dbt Semantic Layer for Sheets App](https://gsuite.google.com/marketplace/app/foo/392263010968) to install the add-on. +## Installing the add-on - - You can also find it in Google Sheets by going to [**Extensions -> Add-on -> Get add-ons**](https://support.google.com/docs/answer/2942256?hl=en&co=GENIE.Platform%3DDesktop&oco=0#zippy=%2Cinstall-add-ons%2Cinstall-an-add-on) and searching for it there. +1. Navigate to the [dbt Semantic Layer for Sheets App](https://gsuite.google.com/marketplace/app/foo/392263010968) to install the add-on. You can also find it in Google Sheets by going to [**Extensions -> Add-on -> Get add-ons**](https://support.google.com/docs/answer/2942256?hl=en&co=GENIE.Platform%3DDesktop&oco=0#zippy=%2Cinstall-add-ons%2Cinstall-an-add-on) and searching for it there. 2. After installing, open the Add-On menu and select the "dbt Semantic Layer for Sheets". This will open a custom menu to the right-hand side of your screen. -3. Authenticate with your Host, dbt Cloud Environment ID, and Service Token. -4. Start querying your metrics using the **Query Builder**. For more info on the menu functions, refer to [Custom menu functions](#custom-menu-functions). - -When querying your data with Google Sheets: +3. Find your **Host** and **Environment ID** in dbt Cloud. Go to **Account Settings** and select **Projects** on the left sidebar.Select your project and then navigate to the **Semantic Layer** settings. You'll need this to authenticate in Google Sheets in the following step. + - You can [generate your service token](/docs/dbt-cloud-apis/service-tokens) by clicking **Generate Service Token** within the Semantic Layer configuration page or navigating to **API tokens** in dbt Cloud. + +4. In Google Sheets, authenticate with your Host, dbt Cloud Environment ID, and Service Token. + + + +5. Start querying your metrics using the **Query Builder**. For more info on the menu functions, refer to [Custom menu functions](#custom-menu-functions). + +When querying your data with Google Sheets: - It returns the data to the cell you have clicked on. - The custom menu operation has a timeout limit of six (6) minutes. - If you're using this extension, make sure you're signed into Chrome with the same Google profile you used to set up the Add-On. Log in with one Google profile at a time as using multiple Google profiles at once might cause issues. - ## Custom menu functions -The custom menu provides the following capabilities: +The custom menu provides the following capabilities: | Menu items | Description | |---------------|-------------------------------------------------------| diff --git a/website/docs/docs/use-dbt-semantic-layer/tableau.md b/website/docs/docs/use-dbt-semantic-layer/tableau.md index 05d78f30f55..11e24762684 100644 --- a/website/docs/docs/use-dbt-semantic-layer/tableau.md +++ b/website/docs/docs/use-dbt-semantic-layer/tableau.md @@ -5,6 +5,9 @@ tags: [Semantic Layer] sidebar_label: "Tableau (beta)" --- +# Tableau + + :::info Beta functionality The Tableau integration with the dbt Semantic Layer is a [beta feature](/docs/dbt-versions/product-lifecycles#dbt-cloud). ::: diff --git a/website/static/img/docs/dbt-cloud/semantic-layer/SL-and-gsheets.JPG 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In Google Sheets, authenticate with your Host, dbt Cloud Environment ID, and Service Token. - + 5. Start querying your metrics using the **Query Builder**. For more info on the menu functions, refer to [Custom menu functions](#custom-menu-functions). From 7106ed7dd5919f24b05a39b80263ab0682052ef5 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Tue, 13 Feb 2024 14:47:44 +0000 Subject: [PATCH 13/20] fix spacing --- website/docs/docs/use-dbt-semantic-layer/gsheets.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/use-dbt-semantic-layer/gsheets.md b/website/docs/docs/use-dbt-semantic-layer/gsheets.md index 8912cdb0b8b..670fd77b419 100644 --- a/website/docs/docs/use-dbt-semantic-layer/gsheets.md +++ b/website/docs/docs/use-dbt-semantic-layer/gsheets.md @@ -31,7 +31,7 @@ The dbt Semantic Layer offers a seamless integration with Google Sheets through 4. In Google Sheets, authenticate with your Host, dbt Cloud Environment ID, and Service Token. - + 5. Start querying your metrics using the **Query Builder**. For more info on the menu functions, refer to [Custom menu functions](#custom-menu-functions). From 68b5e8e66fe18121131b5818821ce721245abbac Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Tue, 13 Feb 2024 15:00:30 +0000 Subject: [PATCH 14/20] update --- website/docs/docs/use-dbt-semantic-layer/gsheets.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/use-dbt-semantic-layer/gsheets.md b/website/docs/docs/use-dbt-semantic-layer/gsheets.md index 670fd77b419..0d5e0508071 100644 --- a/website/docs/docs/use-dbt-semantic-layer/gsheets.md +++ b/website/docs/docs/use-dbt-semantic-layer/gsheets.md @@ -30,7 +30,6 @@ The dbt Semantic Layer offers a seamless integration with Google Sheets through - You can [generate your service token](/docs/dbt-cloud-apis/service-tokens) by clicking **Generate Service Token** within the Semantic Layer configuration page or navigating to **API tokens** in dbt Cloud. 4. In Google Sheets, authenticate with your Host, dbt Cloud Environment ID, and Service Token. - 5. Start querying your metrics using the **Query Builder**. For more info on the menu functions, refer to [Custom menu functions](#custom-menu-functions). 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z-E+9OhYSQ=5d)x@_Lx%4h%c?sG#dssI^5EQjZCm{RiG_KI1Wk0wjMQj&1aB110qIRt z5A`r;kMRv!N#s0Bi|WhK$oTw0Hc6hNCk+8_m1a*fbT%4LuKs%;U@E)GrlbcRJw|J0 MMwW&Z`jDu904oM5CIA2c literal 0 HcmV?d00001 From 9dbd5b694b57abf6d469e297d3c9ae9066deded5 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 13 Feb 2024 15:43:31 +0000 Subject: [PATCH 17/20] Update website/docs/docs/use-dbt-semantic-layer/gsheets.md Co-authored-by: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> --- website/docs/docs/use-dbt-semantic-layer/gsheets.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/use-dbt-semantic-layer/gsheets.md b/website/docs/docs/use-dbt-semantic-layer/gsheets.md index 0d5e0508071..ec1235195ee 100644 --- a/website/docs/docs/use-dbt-semantic-layer/gsheets.md +++ b/website/docs/docs/use-dbt-semantic-layer/gsheets.md @@ -26,7 +26,7 @@ The dbt Semantic Layer offers a seamless integration with Google Sheets through 1. Navigate to the [dbt Semantic Layer for Sheets App](https://gsuite.google.com/marketplace/app/foo/392263010968) to install the add-on. You can also find it in Google Sheets by going to [**Extensions -> Add-on -> Get add-ons**](https://support.google.com/docs/answer/2942256?hl=en&co=GENIE.Platform%3DDesktop&oco=0#zippy=%2Cinstall-add-ons%2Cinstall-an-add-on) and searching for it there. 2. After installing, open the Add-On menu and select the "dbt Semantic Layer for Sheets". This will open a custom menu to the right-hand side of your screen. -3. Find your **Host** and **Environment ID** in dbt Cloud. Go to **Account Settings** and select **Projects** on the left sidebar.Select your project and then navigate to the **Semantic Layer** settings. You'll need this to authenticate in Google Sheets in the following step. +3. Find your **Host** and **Environment ID** in dbt Cloud. Navigate to **Account Settings** and select **Projects** on the left sidebar. Select your project and then navigate to the **Semantic Layer** settings. You'll need this to authenticate in Google Sheets in the following step. - You can [generate your service token](/docs/dbt-cloud-apis/service-tokens) by clicking **Generate Service Token** within the Semantic Layer configuration page or navigating to **API tokens** in dbt Cloud. 4. In Google Sheets, authenticate with your Host, dbt Cloud Environment ID, and Service Token. From 581408c081043f481514af6e3d72a4a36c6cbeb0 Mon Sep 17 00:00:00 2001 From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 13 Feb 2024 15:44:31 +0000 Subject: [PATCH 18/20] Update website/docs/docs/use-dbt-semantic-layer/gsheets.md Co-authored-by: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> --- website/docs/docs/use-dbt-semantic-layer/gsheets.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/use-dbt-semantic-layer/gsheets.md b/website/docs/docs/use-dbt-semantic-layer/gsheets.md index ec1235195ee..1fbc4e941d4 100644 --- a/website/docs/docs/use-dbt-semantic-layer/gsheets.md +++ b/website/docs/docs/use-dbt-semantic-layer/gsheets.md @@ -29,7 +29,7 @@ The dbt Semantic Layer offers a seamless integration with Google Sheets through 3. Find your **Host** and **Environment ID** in dbt Cloud. Navigate to **Account Settings** and select **Projects** on the left sidebar. Select your project and then navigate to the **Semantic Layer** settings. You'll need this to authenticate in Google Sheets in the following step. - You can [generate your service token](/docs/dbt-cloud-apis/service-tokens) by clicking **Generate Service Token** within the Semantic Layer configuration page or navigating to **API tokens** in dbt Cloud. -4. In Google Sheets, authenticate with your Host, dbt Cloud Environment ID, and Service Token. +4. In Google Sheets, authenticate with your host, dbt Cloud environment ID, and service token. 5. Start querying your metrics using the **Query Builder**. For more info on the menu functions, refer to [Custom menu functions](#custom-menu-functions). From f0f751b5c0bcc539c32a0ffbbd7083a5aa753c0e Mon Sep 17 00:00:00 2001 From: Ly Nguyen Date: Tue, 13 Feb 2024 07:58:00 -0800 Subject: [PATCH 19/20] Feedback --- website/docs/docs/collaborate/column-level-lineage.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/collaborate/column-level-lineage.md b/website/docs/docs/collaborate/column-level-lineage.md index 929695d2d6b..c97489363e7 100644 --- a/website/docs/docs/collaborate/column-level-lineage.md +++ b/website/docs/docs/collaborate/column-level-lineage.md @@ -10,7 +10,7 @@ dbt Explorer now offers column-level lineage (CLL) for the resources in your dbt CLL is available to dbt Cloud Enterprise accounts that can use Explorer. It’s also available through the [Discovery API](/docs/dbt-cloud-apis/discovery-api). :::tip Check out our beta -Explorer's CLL is currently available as a [beta](/docs/dbt-versions/product-lifecycles#dbt-cloud) for Enterprise plans. Please check it out! We'd love to [know what you think](https://docs.google.com/forms/d/e/1FAIpQLSdpCbVkGY9QwfExFonpWE4DTOKi3fQxBGLD0wwKYpkMjgcE7g/viewform)! +Explorer's CLL is currently available as a [public beta](/docs/dbt-versions/product-lifecycles#dbt-cloud) for Enterprise plans. Please check it out! We'd love to [know what you think](https://docs.google.com/forms/d/e/1FAIpQLSdpCbVkGY9QwfExFonpWE4DTOKi3fQxBGLD0wwKYpkMjgcE7g/viewform)! ::: ## Access the column-level lineage From b3d7c9e6a4657229bf6efbc5d8978b423edda996 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Tue, 13 Feb 2024 08:46:35 -0800 Subject: [PATCH 20/20] Update website/docs/docs/collaborate/column-level-lineage.md --- website/docs/docs/collaborate/column-level-lineage.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/collaborate/column-level-lineage.md b/website/docs/docs/collaborate/column-level-lineage.md index c97489363e7..6ca3d033bbc 100644 --- a/website/docs/docs/collaborate/column-level-lineage.md +++ b/website/docs/docs/collaborate/column-level-lineage.md @@ -10,7 +10,7 @@ dbt Explorer now offers column-level lineage (CLL) for the resources in your dbt CLL is available to dbt Cloud Enterprise accounts that can use Explorer. It’s also available through the [Discovery API](/docs/dbt-cloud-apis/discovery-api). :::tip Check out our beta -Explorer's CLL is currently available as a [public beta](/docs/dbt-versions/product-lifecycles#dbt-cloud) for Enterprise plans. Please check it out! We'd love to [know what you think](https://docs.google.com/forms/d/e/1FAIpQLSdpCbVkGY9QwfExFonpWE4DTOKi3fQxBGLD0wwKYpkMjgcE7g/viewform)! +Explorer's CLL is currently available as a [public beta](/docs/dbt-versions/product-lifecycles#dbt-cloud) for Enterprise plan accounts. Please check it out! ::: ## Access the column-level lineage