diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md index 90f4938d2cb..c9b25d3b71c 100644 --- a/.github/pull_request_template.md +++ b/.github/pull_request_template.md @@ -10,7 +10,7 @@ To learn more about the writing conventions used in the dbt Labs docs, see the [ - [ ] Review the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) and [About versioning](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) so my content adheres to these guidelines. - [ ] Add a checklist item for anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." diff --git a/.github/workflows/crawler.yml b/.github/workflows/crawler.yml new file mode 100644 index 00000000000..6bfce5321c5 --- /dev/null +++ b/.github/workflows/crawler.yml @@ -0,0 +1,33 @@ +name: Algolia Crawler +on: + pull_request: + types: + - closed + +jobs: + algolia_recrawl: + # Comment out the if check below if running on every merge to current branch + if: | + contains(github.event.pull_request.labels.*.name, 'trigger-crawl') + && github.event.pull_request.merged == true + name: Trigger Algolia Crawl + runs-on: ubuntu-latest + steps: + # Checkout repo + - name: Checkout Repo + uses: actions/checkout@v3 + + # Wait 8 minutes to allow Vercel build to complete + - run: sleep 480 + + # Once deploy URL is found, trigger Algolia crawl + - name: Run Algolia Crawler + uses: algolia/algoliasearch-crawler-github-actions@v1 + id: crawler_push + with: + crawler-user-id: ${{ secrets.CRAWLER_USER_ID }} + crawler-api-key: ${{ secrets.CRAWLER_API_KEY }} + algolia-app-id: ${{ secrets.ALGOLIA_APP_ID }} + algolia-api-key: ${{ secrets.ALGOLIA_API_KEY }} + site-url: 'https://docs.getdbt.com' + crawler-name: ${{ secrets.CRAWLER_NAME }} diff --git a/contributing/content-style-guide.md b/contributing/content-style-guide.md index eaa090a00b6..688a6d21175 100644 --- a/contributing/content-style-guide.md +++ b/contributing/content-style-guide.md @@ -229,7 +229,7 @@ When referring to different sections of the IDE, use the name of the section and People make use of titles in many places like table headers, section headings (such as an H2, H3, or H4), page titles, sidebars, and so much more. -When generating titles or updating them, use sentence case. It sets a more conversational tone to the docs—making the content more approachable and creating a friendly feel. +When generating titles or updating them, use sentence case. It sets a more conversational tone to the docs— making the content more approachable and creating a friendly feel. We've defined five content types you can use when contributing to the docs (as in, writing or authoring). Learn more about title guidelines for [each content type](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-types.md). @@ -239,7 +239,7 @@ Placeholder text is something that the user should replace with their own text. Use all capital letters([screaming snake case](https://fission.codes/blog/screaming-snake-case/)) to indicate text that changes in the user interface or that the user needs to supply in a command or code snippet. Avoid surrounding it in brackets or braces, which someone might copy and use, producing an error. -Identify what the user should replace the placeholder text with in the paragraph preceding the code snippet or command. +Identify what the user should replace the placeholder text within the paragraph preceding the code snippet or command. :white_check_mark: The following is an example of configuring a connection to a Redshift database. In your YAML file, you must replace `CLUSTER_ID` with the ID assigned to you during setup: @@ -276,7 +276,7 @@ Guidelines for making lists are: - There are at least two items. - All list items follow a consistent, grammatical structure (like each item starts with a verb, each item begins with a capitalized word, each item is a sentence fragment). - Lists items don't end in commas, semicolons, or conjunctions (like "and", "or"). However, you can use periods if they’re complete sentences. -- Introduce the list with a heading or, if it's within text, as a complete sentence or as a sentence fragment followed by a colon. +- Introduce the list with a heading or, if it's within the text, as a complete sentence or as a sentence fragment followed by a colon. If the list starts getting lengthy and dense, consider presenting the same content in a different format such as a table, as separate subsections, or a new guide. @@ -286,7 +286,7 @@ A bulleted list with introductory text: > A dbt project is a directory of `.sql` and .yml` files. The directory must contain at a minimum: > -> - Models: A model is a single `.sql` file. Each model contains a single `select` statement that either transforms raw data into a dataset that is ready for analytics, or, more often, is an intermediate step in such a transformation. +> - Models: A model is a single `.sql` file. Each model contains a single `select` statement that either transforms raw data into a dataset that is ready for analytics or, more often, is an intermediate step in such a transformation. > - A project file: A `dbt_project.yml` file, which configures and defines your dbt project. A bulleted list with sentence fragments: @@ -307,10 +307,10 @@ A numbered list following an H2 heading: ## Tables Tables provide a great way to present complex information and can help the content be more scannable for users, too. -There are many ways to construct a table, like row spanning and cell splitting. Make sure the content is clear, concise, and presents well on the web page (like avoid awkward word wrapping). +There are many ways to construct a table, such as row spanning and cell splitting. The content should be clear, concise, and presented well on the web page (for example, avoid awkward word wrapping). Guidelines for making tables are: -- Introduce the table with a heading or, if it's within text, as a complete sentence or as a sentence fragment followed by a colon. +- Introduce the table with a heading or, if it's within the text, as a complete sentence or as a sentence fragment followed by a colon. - Use a header row - Use sentence case for all content, including the header row - Content can be complete sentences, sentence fragments, or single words (like `Currency`) @@ -338,7 +338,7 @@ A table following an H3 heading: > | Name | Description | Values | > | -----| ----------- | ------ | > | `-help` | Displays information on how to use the command. | Doesn't take any values. | -> | `-readable` | Print output in human readable format. | | +> | `-readable` | Print output in human-readable format. | | > | `-file` | Print output to file instead of stdout. | Name of the file. | ## Cards @@ -349,7 +349,7 @@ You can configure a card in 2, 3, 4, or 5-column grids. To maintain a good user There won't be many instances where you need to display 4 or 5 cards on the docs site. While we recommend you use 2 or 3-column grids, you can use 4 or 5-column grids in the following scenarios: -- For cards that contain little text and limited to under 15 words. (This is to make sure the text isn't squished) +- For cards that contain little text and are limited to 15 words or less. This is to make sure the text isn't squished. - Always have the `hide_table_of_contents:` frontmatter set to `true` (This hides the right table of contents). Otherwise, the text will appear squished and provide users with a bad experience. @@ -371,16 +371,16 @@ To create cards in markdown, you need to: - Add the props within the card component, including `title`,`body`,`link`,`icon`. - Close out the div by using `` -Refer to the following prop list for detailed explanation and examples: +Refer to the following prop list for detailed explanations and examples: | Prop | Type | Info | Example | | ---- | ---- | ---- | ------- | | `title` | required | The title should be clear and explain an action the user should take or a product/feature. | `title: dbt Cloud IDE` | `body` | required | The body contains the actionable or informative text for the user. You can include `` | +| `icon` | optional but recommended | You can add an icon to the card component by using any icons found in the [icons](https://github.com/dbt-labs/docs.getdbt.com/tree/current/website/static/img/icons) directory.
* Icons are added in .svg format and you must add icons in two locations: website/static/img/icons and website/static/img/icons/white. This is so users can view the icons in dark or light mode on the docs.getdbt.com site. | ` icon="pencil-paper"/>` | -The following is an example of a 4 card column: +The following is an example of a 4-card column: ```
@@ -488,9 +488,24 @@ Avoid ending a sentence with a preposition unless the rewritten sentence would s Product names, trademarks, services, and tools should be written as proper nouns, unless otherwise specified by the company or trademark owner. +As of October 2023, avoid using "dbt CLI" or "CLI" terminology when referring to the dbt Cloud CLI or dbt Core. However, if referring to the command line as a tool, CLI is acceptable. + +dbt officially provides two command line tools for running dbt commands: + +- [dbt Cloud CLI](/docs/cloud/cloud-cli-installation) — This tool allows you to develop locally and execute dbt commands against your dbt Cloud development environment from your local command line. +- [dbt Core](https://github.com/dbt-labs/dbt-core) — This open-source tool is designed for local installation, enabling you to use dbt Core on the command line and communicate with databases through adapters. + +Here are some examples of what to use and what to avoid:
+ +✅ Set up in the dbt Cloud CLI or dbt Core
+✅ Set up in the dbt Cloud CLI or dbt Core CLI
+ +❌ Set up via dbt CLI
+❌ Set up in dbt Cloud, **or** via the CLI
+ ### Terms to use or avoid -Use industry-specific terms and research new/improved terminology. Also refer to the Inclusive Language section of this style guide for inclusive and accessible language and style. +Use industry-specific terms and research new/improved terminology. Also, refer to the Inclusive Language section of this style guide for inclusive and accessible language and style. **DO NOT** use jargon or language familiar to a small subset of readers or assume that your readers understand ALL technical terms. @@ -507,11 +522,13 @@ sign in | log in, login sign up | signup terminal | shell username | login +dbt Cloud CLI | CLI, dbt CLI +dbt Core | CLI, dbt CLI
## Links -Links embedded in documentation are about trust. Users trust that we will lead them to sites or pages related to their reading content. In order to maintain that trust, it's important that links are transparent, up-to-date, and lead to legitimate resources. +Links embedded in the documentation are about trust. Users trust that we will lead them to sites or pages related to their reading content. In order to maintain that trust, it's important that links are transparent, up-to-date, and lead to legitimate resources. ### Internal links diff --git a/website/blog/2021-11-23-how-to-upgrade-dbt-versions.md b/website/blog/2021-11-23-how-to-upgrade-dbt-versions.md index 87b3ea7bd1e..69ca0b2522c 100644 --- a/website/blog/2021-11-23-how-to-upgrade-dbt-versions.md +++ b/website/blog/2021-11-23-how-to-upgrade-dbt-versions.md @@ -62,7 +62,7 @@ As noted above, the project is on 0.16.0 right now. 0.17.2 is the final patch re > > Practically, it also lets you lock in "checkpoints" of known-stable setups. If you need to pause your migration work to deal with an urgent request, you can safely deploy what you've finished so far instead of having a bunch of unrelated half-finished changes. -Review the migration guides to get an initial indication of what changes you might need to make. For example, in [the migration guide for 0.17.0](/guides/migration/versions), there are several significant changes to dbt's functionality, but it's unlikely that all of them will apply to your project. We'll cover this more later. +Review the migration guides to get an initial indication of what changes you might need to make. For example, in [the migration guide for 0.17.0](/docs/dbt-versions/core-upgrade), there are several significant changes to dbt's functionality, but it's unlikely that all of them will apply to your project. We'll cover this more later. ## Step 2: `Add require-dbt-version` to your `dbt_project.yml` file. @@ -126,9 +126,9 @@ In this case, our example project probably has dbt 0.3.0 installed. By reviewing ### Step 5b. Fix errors, then warnings -Obviously, errors that stop you from running your dbt project at all are the most important to deal with. Let's assume that our project used a too-broadly-scoped variable in a macro file, support for which was removed in v0.17. The [migration guide explains what to do instead](/guides/migration/versions), and it's a pretty straightforward fix. +Obviously, errors that stop you from running your dbt project at all are the most important to deal with. Let's assume that our project used a too-broadly-scoped variable in a macro file, support for which was removed in v0.17. The [migration guide explains what to do instead](/docs/dbt-versions/core-upgrade), and it's a pretty straightforward fix. -Once your errors are out of the way, have a look at warnings. For example, 0.17 introduced `config-version: 2` to `dbt_project.yml`. Although it's backwards compatible for now, we know that support for the old version will be removed in a future version of dbt so we might as well deal with it now. Again, the migration guide explains [what we need to do](/guides/migration/versions), and how to take full advantage of the new functionality in the future. +Once your errors are out of the way, have a look at warnings. For example, 0.17 introduced `config-version: 2` to `dbt_project.yml`. Although it's backwards compatible for now, we know that support for the old version will be removed in a future version of dbt so we might as well deal with it now. Again, the migration guide explains [what we need to do](/docs/dbt-versions/core-upgrade), and how to take full advantage of the new functionality in the future. ### Stay focused diff --git a/website/blog/2021-11-29-dbt-airflow-spiritual-alignment.md b/website/blog/2021-11-29-dbt-airflow-spiritual-alignment.md index 0a2ec874a22..fd1a11c41cf 100644 --- a/website/blog/2021-11-29-dbt-airflow-spiritual-alignment.md +++ b/website/blog/2021-11-29-dbt-airflow-spiritual-alignment.md @@ -144,22 +144,22 @@ An analyst will be in the dark when attempting to debug this, and will need to r This can be perfectly ok, in the event your data team is structured for data engineers to exclusively own dbt modeling duties, but that’s a quite uncommon org structure pattern from what I’ve seen. And if you have easy solutions for this analyst-blindness problem, I’d love to hear them. Once the data has been ingested, dbt Core can be used to model it for consumption. Most of the time, users choose to either: -Use the dbt CLI+ [BashOperator](https://registry.astronomer.io/providers/apache-airflow/modules/bashoperator) with Airflow (If you take this route, you can use an external secrets manager to manage credentials externally), or +Use the dbt Core CLI+ [BashOperator](https://registry.astronomer.io/providers/apache-airflow/modules/bashoperator) with Airflow (If you take this route, you can use an external secrets manager to manage credentials externally), or Use the [KubernetesPodOperator](https://registry.astronomer.io/providers/kubernetes/modules/kubernetespodoperator) for each dbt job, as data teams have at places like [Gitlab](https://gitlab.com/gitlab-data/analytics/-/blob/master/dags/transformation/dbt_trusted_data.py#L72) and [Snowflake](https://www.snowflake.com/blog/migrating-airflow-from-amazon-ec2-to-kubernetes/). Both approaches are equally valid; the right one will depend on the team and use case at hand. | | Dependency management | Overhead | Flexibility | Infrastructure Overhead | |---|---|---|---|---| -| dbt CLI + BashOperator | Medium | Low | Medium | Low | +| dbt Core CLI + BashOperator | Medium | Low | Medium | Low | | Kubernetes Pod Operator | Very Easy | Medium | High | Medium | | | | | | | If you have DevOps resources available to you, and your team is comfortable with concepts like Kubernetes pods and containers, you can use the KubernetesPodOperator to run each job in a Docker image so that you never have to think about Python dependencies. Furthermore, you’ll create a library of images containing your dbt models that can be run on any containerized environment. However, setting up development environments, CI/CD, and managing the arrays of containers can mean a lot of overhead for some teams. Tools like the [astro-cli](https://github.com/astronomer/astro-cli) can make this easier, but at the end of the day, there’s no getting around the need for Kubernetes resources for the Gitlab approach. -If you’re just looking to get started or just don’t want to deal with containers, using the BashOperator to call the dbt CLI can be a great way to begin scheduling your dbt workloads with Airflow. +If you’re just looking to get started or just don’t want to deal with containers, using the BashOperator to call the dbt Core CLI can be a great way to begin scheduling your dbt workloads with Airflow. -It’s important to note that whichever approach you choose, this is just a first step; your actual production needs may have more requirements. If you need granularity and dependencies between your dbt models, like the team at [Updater does, you may need to deconstruct the entire dbt DAG in Airflow.](https://www.astronomer.io/guides/airflow-dbt#use-case-2-dbt-airflow-at-the-model-level) If you’re okay managing some extra dependencies, but want to maximize control over what abstractions you expose to your end users, you may want to use the [GoCardlessProvider](https://github.com/gocardless/airflow-dbt), which wraps the BashOperator and dbt CLI. +It’s important to note that whichever approach you choose, this is just a first step; your actual production needs may have more requirements. If you need granularity and dependencies between your dbt models, like the team at [Updater does, you may need to deconstruct the entire dbt DAG in Airflow.](https://www.astronomer.io/guides/airflow-dbt#use-case-2-dbt-airflow-at-the-model-level) If you’re okay managing some extra dependencies, but want to maximize control over what abstractions you expose to your end users, you may want to use the [GoCardlessProvider](https://github.com/gocardless/airflow-dbt), which wraps the BashOperator and dbt Core CLI. #### Rerunning jobs from failure diff --git a/website/blog/2022-02-23-founding-an-AE-team-smartsheet.md b/website/blog/2022-02-23-founding-an-AE-team-smartsheet.md index 89fcb6f5890..954d6dca3b8 100644 --- a/website/blog/2022-02-23-founding-an-AE-team-smartsheet.md +++ b/website/blog/2022-02-23-founding-an-AE-team-smartsheet.md @@ -114,7 +114,7 @@ In the interest of getting a proof of concept out the door (I highly favor focus - Our own Dev, Prod & Publish databases - Our own code repository which we managed independently -- dbt CLI +- dbt Core CLI - Virtual Machine running dbt on a schedule None of us had used dbt before, but we’d heard amazing things about it. We hotly debated the choice between dbt and building our own lightweight stack, and looking back now, I couldn’t be happier with choosing dbt. While there was a learning curve that slowed us down initially, we’re now seeing the benefit of that decision. Onboarding new analysts is a breeze and much of the functionality we need is pre-built. The more we use the tool, the faster we are at using it and the more value we’re gaining from the product. 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 index 91ad1080ce6..2ee774d4f1d 100644 --- 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 @@ -12,6 +12,10 @@ 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)! diff --git a/website/blog/2022-07-26-pre-commit-dbt.md b/website/blog/2022-07-26-pre-commit-dbt.md index e0b41d82d0c..fc100897ff0 100644 --- a/website/blog/2022-07-26-pre-commit-dbt.md +++ b/website/blog/2022-07-26-pre-commit-dbt.md @@ -112,7 +112,7 @@ The last step of our flow is to make those pre-commit checks part of the day-to- Adding periodic pre-commit checks can be done in 2 different ways, through CI (Continuous Integration) actions, or as git hooks when running dbt locally -#### a) Adding pre-commit-dbt to the CI flow (works for dbt Cloud and dbt CLI users) +#### a) Adding pre-commit-dbt to the CI flow (works for dbt Cloud and dbt Core users) The example below will assume GitHub actions as the CI engine but similar behavior could be achieved in any other CI tool. @@ -237,9 +237,9 @@ With that information, I could now go back to dbt, document my model customers a We could set up rules that prevent any change to be merged if the GitHub action fails. Alternatively, this action step can be defined as merely informational. -#### b) Installing the pre-commit git hooks (for dbt CLI users) +#### b) Installing the pre-commit git hooks (for dbt Core users) -If we develop locally with the dbt CLI, we could also execute `pre-commit install` to install the git hooks. What it means then is that every time we want to commit code in git, the pre-commit hooks will run and will prevent us from committing if any step fails. +If we develop locally with the dbt Core CLI, we could also execute `pre-commit install` to install the git hooks. What it means then is that every time we want to commit code in git, the pre-commit hooks will run and will prevent us from committing if any step fails. If we want to commit code without performing all the steps of the pre-hook we could use the environment variable SKIP or the git flag `--no-verify` as described [in the documentation](https://pre-commit.com/#temporarily-disabling-hooks). (e.g. we might want to skip the auto `dbt docs generate` locally to prevent it from running at every commit and rely on running it manually from time to time) diff --git a/website/blog/2022-08-31-august-product-update.md b/website/blog/2022-08-31-august-product-update.md index cb4077f3a06..bd9d8ee0b28 100644 --- a/website/blog/2022-08-31-august-product-update.md +++ b/website/blog/2022-08-31-august-product-update.md @@ -22,7 +22,7 @@ You’ll hear more in [Tristan’s keynote](https://coalesce.getdbt.com/agenda/k ## **What's new** -- **dbt Core v1.3 beta:** Do you use Python for analytics? The first beta prerelease of dbt Core v1.3—including support for dbt models written in Python—is [ready to explore](https://docs.getdbt.com/guides/migration/versions/upgrading-to-v1.3)! Check it out, and read more about dbt supported Python models [in our docs](/docs/build/python-models). +- **dbt Core v1.3 beta:** Do you use Python for analytics? The first beta prerelease of dbt Core v1.3—including support for dbt models written in Python—is [ready to explore](https://docs.getdbt.com/docs/dbt-versions/core-upgrade/upgrading-to-v1.3)! Check it out, and read more about dbt supported Python models [in our docs](/docs/build/python-models). - **Technology Partner Program:** We just launched our new [Technology Partner Program](https://www.getdbt.com/blog/dbt-labs-technology-partner-program/) with 40+ friends in the Modern Data Stack to provide consistent support for seamless integrations joint-users can trust. Check our new [dbt Cloud integrations page](http://www.getdbt.com/product/integrations) for what’s available today! - **Single-tenant users:** dbt Cloud v1.1.60 is now available on dbt Cloud Enterprise. diff --git a/website/blog/2023-10-31-to-defer-or-to-clone.md b/website/blog/2023-10-31-to-defer-or-to-clone.md new file mode 100755 index 00000000000..a39fc3ac0b7 --- /dev/null +++ b/website/blog/2023-10-31-to-defer-or-to-clone.md @@ -0,0 +1,118 @@ +--- + +title: To defer or to clone, that is the question +description: "In dbt v1.6, we introduce support for zero-copy cloning via the new dbt clone command. In this blog post, Kshitij will cover what clone is, how it is different from deferral, and when to use each." +slug: to-defer-or-to-clone + +image: /img/blog/2023-10-31-to-defer-or-to-clone/preview.png + +authors: [kshitij_aranke, doug_beatty] + +tags: [analytics craft] +hide_table_of_contents: false + +date: 2023-10-31 +is_featured: true + +--- + +Hi all, I’m Kshitij, a senior software engineer on the Core team at dbt Labs. +One of the coolest moments of my career here thus far has been shipping the new `dbt clone` command as part of the dbt-core v1.6 release. + +However, one of the questions I’ve received most frequently is guidance around “when” to clone that goes beyond [the documentation on “how” to clone](https://docs.getdbt.com/reference/commands/clone). +In this blog post, I’ll attempt to provide this guidance by answering these FAQs: + +1. What is `dbt clone`? +2. How is it different from deferral? +3. Should I defer or should I clone? + +## What is `dbt clone`? + +`dbt clone` is a new command in dbt 1.6 that leverages native zero-copy clone functionality on supported warehouses to **copy entire schemas for free, almost instantly**. + +### How is this possible? + +Well, the warehouse “cheats” by only copying metadata from the `source` schema to the `target` schema; the underlying data remains at rest during this operation. +This metadata includes materialized objects like tables and views, which is why you see a **clone** of these objects in the target schema. + +In computer science jargon, `clone` makes a copy of the pointer from the `source` schema to the underlying data; after the operation there are now two pointers (`source` and `target` schemas) that each point to the same underlying data. + +## How is cloning different from deferral? + +On the surface, cloning and deferral seem similar – **they’re both ways to save costs in the data warehouse.** +They do this by bypassing expensive model re-computations – clone by [eagerly copying](https://en.wikipedia.org/wiki/Evaluation_strategy#Eager_evaluation) an entire schema into the target schema, and defer by [lazily referencing](https://en.wikipedia.org/wiki/Lazy_evaluation) pre-built models in the source schema. + +Let’s unpack this sentence and explore its first-order effects: + +| | defer | clone | +|---------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------| +| **How do I use it?** | Implicit via the `--defer` flag | Explicit via the `dbt clone` command | +| **What are its outputs?** | Doesn't create any objects itself, but dbt might create objects in the target schema if they’ve changed from those in the source schema. | Copies objects from source schema to target schema in the data warehouse, which are persisted after operation is finished. | +| **How does it work?** | Compares manifests between source and target dbt runs and overrides ref to resolve models not built in the target run to point to objects built in the source run. | Uses zero-copy cloning if available to copy objects from source to target schemas, else creates pointer views (`select * from my_model`) | + +These first-order effects lead to the following second-order effects that truly distinguish clone and defer from each other: + +| | defer | clone | +|--------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------| +| **Where can I use objects built in the target schema?** | Only within the context of dbt | Any downstream tool (e.g. BI) | +| **Can I safely modify objects built in the target schema?** | No, since this would modify production data | Yes, cloning is a cheap way to create a sandbox of production data for experimentation | +| **Will data in the target schema drift from data in the source schema?** | No, since deferral will always point to the latest version of the source schema | Yes, since clone is a point-in-time operation | +| **Can I use multiple source schemas at once?** | Yes, defer can dynamically switch between source schemas e.g. ref unchanged models from production and changed models from staging | No, clone copies objects from one source schema to one target schema | + +## Should I defer or should I clone? + +Putting together all the points above, here’s a handy cheat sheet for when to defer and when to clone: + +| | defer | clone | +|---------------------------------------------------------------------------|-------|-------| +| **Save time & cost by avoiding re-computation** | ✅ | ✅ | +| **Create database objects to be available in downstream tools (e.g. BI)** | ❌ | ✅ | +| **Safely modify objects in the target schema** | ❌ | ✅ | +| **Avoid creating new database objects** | ✅ | ❌ | +| **Avoid data drift** | ✅ | ❌ | +| **Support multiple dynamic sources** | ✅ | ❌ | + +To absolutely drive this point home: + +1. If you send someone this cheatsheet by linking to this page, you are deferring to this page +2. If you print out this page and write notes in the margins, you have cloned this page + +## Putting it in practice + +Using the cheat sheet above, let’s explore a few common scenarios and explore whether we should use defer or clone for each: + +1. **Testing staging datasets in BI** + + In this scenario, we want to: + 1. Make a copy of our production dataset available in our downstream BI tool + 2. To safely iterate on this copy without breaking production datasets + + Therefore, we should use **clone** in this scenario + +2. **[Slim CI](https://discourse.getdbt.com/t/how-we-sped-up-our-ci-runs-by-10x-using-slim-ci/2603)** + + In this scenario, we want to: + 1. Refer to production models wherever possible to speed up continuous integration (CI) runs + 2. Only run and test models in the CI staging environment that have changed from the production environment + 3. Reference models from different environments – prod for unchanged models, and staging for modified models + + Therefore, we should use **defer** in this scenario + +3. **[Blue/Green Deployments](https://discourse.getdbt.com/t/performing-a-blue-green-deploy-of-your-dbt-project-on-snowflake/1349)** + + In this scenario, we want to: + 1. Ensure that all tests are always passing on the production dataset, even if that dataset is slightly stale + 2. Atomically rollback a promotion to production if tests aren’t passing across the entire staging dataset + + In this scenario, we can use **clone** to implement a deployment strategy known as blue-green deployments where we build the entire staging dataset and then run tests against it, and only clone it over to production if all tests pass. + + +As a rule of thumb, deferral lends itself better to continuous integration (CI) use cases whereas cloning lends itself better to continuous deployment (CD) use cases. + +## Wrapping Up + +In this post, we covered what `dbt clone` is, how it is different from deferral, and when to use each. Often, they can be used together within the same project in different parts of the deployment lifecycle. + +Thanks for reading, and I look forward to seeing what you build with `dbt clone`. + +*Thanks to [Jason Ganz](https://docs.getdbt.com/author/jason_ganz) and [Gwen Windflower](https://www.linkedin.com/in/gwenwindflower/) for reviewing drafts of this article* diff --git a/website/blog/authors.yml b/website/blog/authors.yml index 2e554ffc814..31d69824ed4 100644 --- a/website/blog/authors.yml +++ b/website/blog/authors.yml @@ -306,6 +306,15 @@ kira_furuichi: name: Kira Furuichi organization: dbt Labs +kshitij_aranke: + image_url: /img/blog/authors/kshitij-aranke.jpg + job_title: Senior Software Engineer + links: + - icon: fa-linkedin + url: https://www.linkedin.com/in/aranke/ + name: Kshitij Aranke + organization: dbt Labs + lauren_benezra: image_url: /img/blog/authors/lauren-benezra.jpeg job_title: Analytics Engineer diff --git a/website/dbt-versions.js b/website/dbt-versions.js index 910c4a6ef4d..be55c893041 100644 --- a/website/dbt-versions.js +++ b/website/dbt-versions.js @@ -1,8 +1,7 @@ exports.versions = [ { version: "1.7", - EOLDate: "2024-07-31", - isPrerelease: "true" + EOLDate: "2024-10-30", }, { version: "1.6", diff --git a/website/docs/dbt-cli/cli-overview.md b/website/docs/dbt-cli/cli-overview.md index 3b96d4637bd..3e44bab801b 100644 --- a/website/docs/dbt-cli/cli-overview.md +++ b/website/docs/dbt-cli/cli-overview.md @@ -3,7 +3,7 @@ title: "CLI overview" description: "Run your dbt project from the command line." --- -dbt Core ships with a command-line interface (CLI) for running your dbt project. The dbt CLI is free to use and available as an [open source project](https://github.com/dbt-labs/dbt-core). +dbt Core ships with a command-line interface (CLI) for running your dbt project. dbt Core and its CLI are free to use and available as an [open source project](https://github.com/dbt-labs/dbt-core). When using the command line, you can run commands and do other work from the current or _working directory_ on your computer. Before running the dbt project from the command line, make sure the working directory is your dbt project directory. For more details, see "[Creating a dbt project](/docs/build/projects)." diff --git a/website/docs/docs/build/custom-aliases.md b/website/docs/docs/build/custom-aliases.md index 326434ea922..b4962aad00a 100644 --- a/website/docs/docs/build/custom-aliases.md +++ b/website/docs/docs/build/custom-aliases.md @@ -34,6 +34,19 @@ select * from ... +Or in a `schema.yml` file. + + + +```yaml +- models: + - name: ga_sessions + config: + alias: sessions +``` + + + When referencing the `ga_sessions` model above from a different model, use the `ref()` function with the model's _filename_ as usual. For example: @@ -114,13 +127,11 @@ The default implementation of `generate_alias_name` simply uses the supplied `al - -### Managing different behaviors across packages +### Dispatch macro - SQL alias management for databases and dbt packages -See docs on macro `dispatch`: ["Managing different global overrides across packages"](/reference/dbt-jinja-functions/dispatch) +See docs on macro `dispatch`: ["Managing different global overrides across packages"](/reference/dbt-jinja-functions/dispatch#managing-different-global-overrides-across-packages) - ### Caveats @@ -128,20 +139,23 @@ See docs on macro `dispatch`: ["Managing different global overrides across packa Using aliases, it's possible to accidentally create models with ambiguous identifiers. Given the following two models, dbt would attempt to create two views with _exactly_ the same names in the database (ie. `sessions`): -```sql --- models/snowplow_sessions.sql + +```sql {{ config(alias='sessions') }} select * from ... ``` + -```sql --- models/sessions.sql + +```sql select * from ... ``` + + Whichever one of these models runs second would "win", and generally, the output of dbt would not be what you would expect. To avoid this failure mode, dbt will check if your model names and aliases are ambiguous in nature. If they are, you will be presented with an error message like this: ``` diff --git a/website/docs/docs/build/jinja-macros.md b/website/docs/docs/build/jinja-macros.md index 44bc85872f5..c5fd6b2e111 100644 --- a/website/docs/docs/build/jinja-macros.md +++ b/website/docs/docs/build/jinja-macros.md @@ -76,7 +76,7 @@ You can recognize Jinja based on the delimiters the language uses, which we refe When used in a dbt model, your Jinja needs to compile to a valid query. To check what SQL your Jinja compiles to: * **Using dbt Cloud:** Click the compile button to see the compiled SQL in the Compiled SQL pane -* **Using the dbt CLI:** Run `dbt compile` from the command line. Then open the compiled SQL file in the `target/compiled/{project name}/` directory. Use a split screen in your code editor to keep both files open at once. +* **Using dbt Core:** Run `dbt compile` from the command line. Then open the compiled SQL file in the `target/compiled/{project name}/` directory. Use a split screen in your code editor to keep both files open at once. ### Macros [Macros](/docs/build/jinja-macros) in Jinja are pieces of code that can be reused multiple times – they are analogous to "functions" in other programming languages, and are extremely useful if you find yourself repeating code across multiple models. Macros are defined in `.sql` files, typically in your `macros` directory ([docs](/reference/project-configs/macro-paths)). diff --git a/website/docs/docs/build/materializations.md b/website/docs/docs/build/materializations.md index 79fe2e1b7c5..8846f4bb0c5 100644 --- a/website/docs/docs/build/materializations.md +++ b/website/docs/docs/build/materializations.md @@ -69,8 +69,8 @@ When using the `view` materialization, your model is rebuilt as a view on each r * **Pros:** No additional data is stored, views on top of source data will always have the latest records in them. * **Cons:** Views that perform a significant transformation, or are stacked on top of other views, are slow to query. * **Advice:** - * Generally start with views for your models, and only change to another materialization when you're noticing performance problems. - * Views are best suited for models that do not do significant transformation, e.g. renaming, recasting columns. + * Generally start with views for your models, and only change to another materialization when you notice performance problems. + * Views are best suited for models that do not do significant transformation, e.g. renaming, or recasting columns. ### Table When using the `table` materialization, your model is rebuilt as a on each run, via a `create table as` statement. @@ -135,7 +135,7 @@ Materialized views are a combination of a view and a table, and serve use cases * Materialized views operate much like incremental materializations, however they are usually able to be refreshed without manual interference on a regular cadence (depending on the database), forgoing the regular dbt batch refresh required with incremental materializations - * `dbt run` on materialized views correspond to a code deployment, just like views + * `dbt run` on materialized views corresponds to a code deployment, just like views * **Cons:** * Due to the fact that materialized views are more complex database objects, database platforms tend to have less configuration options available, see your database platform's docs for more details @@ -143,6 +143,8 @@ less configuration options available, see your database platform's docs for more * **Advice:** * Consider materialized views for use cases where incremental models are sufficient, but you would like the data platform to manage the incremental logic and refresh. +**Note:** `dbt-snowflake` _does not_ support materialized views, it uses Dynamic Tables instead. For details, refer to [Snowflake specific configurations](/reference/resource-configs/snowflake-configs#dynamic-tables). + ## Python materializations Python models support two materializations: diff --git a/website/docs/docs/build/project-variables.md b/website/docs/docs/build/project-variables.md index 1fe45b18ac0..59d6be49b17 100644 --- a/website/docs/docs/build/project-variables.md +++ b/website/docs/docs/build/project-variables.md @@ -28,7 +28,7 @@ Jinja is not supported within the `vars` config, and all values will be interpre :::info New in v0.17.0 The syntax for specifying vars in the `dbt_project.yml` file has changed in -dbt v0.17.0. See the [migration guide](/guides/migration/versions) +dbt v0.17.0. See the [migration guide](/docs/dbt-versions/core-upgrade) for more information on these changes. ::: diff --git a/website/docs/docs/build/sl-getting-started.md b/website/docs/docs/build/sl-getting-started.md index 64cec11c302..11453dde578 100644 --- a/website/docs/docs/build/sl-getting-started.md +++ b/website/docs/docs/build/sl-getting-started.md @@ -84,14 +84,17 @@ If you're encountering some issues when defining your metrics or setting up the How are you storing my data? User data passes through the Semantic Layer on its way back from the warehouse. dbt Labs ensures security by authenticating through the customer's data warehouse. Currently, we don't cache data for the long term, but it might temporarily stay in the system for up to 10 minutes, usually less. In the future, we'll introduce a caching feature that allows us to cache data on our infrastructure for up to 24 hours. +
Is the dbt Semantic Layer open source? -The dbt Semantic Layer is proprietary, however, some components of the dbt Semantic Layer are open source, like dbt-core and MetricFlow.

dbt Cloud Developer or dbt Core users can define metrics in their project, including a local dbt Core project, using the dbt Cloud IDE or the MetricFlow CLI. However, to experience the universal dbt Semantic Layer and access those metrics using the API or downstream tools, users will must be on a dbt Cloud Team or Enterprise plan.
+The dbt Semantic Layer is proprietary; however, some components of the dbt Semantic Layer are open source, such as dbt-core and MetricFlow.

dbt Cloud Developer or dbt Core users can define metrics in their project, including a local dbt Core project, using the dbt Cloud IDE, dbt Cloud CLI, or dbt Core CLI. However, to experience the universal dbt Semantic Layer and access those metrics using the API or downstream tools, users must be on a dbt Cloud Team or Enterprise plan.

Refer to Billing for more information. + + ## Next steps - [About MetricFlow](/docs/build/about-metricflow) - [Build your metrics](/docs/build/build-metrics-intro) -- [Get started with the dbt Semantic Layer](/docs/use-dbt-semantic-layer/quickstart-sl) - [Available integrations](/docs/use-dbt-semantic-layer/avail-sl-integrations) - Demo on [how to define and query metrics with MetricFlow](https://www.loom.com/share/60a76f6034b0441788d73638808e92ac?sid=861a94ac-25eb-4fd8-a310-58e159950f5a) +- [Billing](/docs/cloud/billing) diff --git a/website/docs/docs/build/tests.md b/website/docs/docs/build/tests.md index 75ee5992a76..75c358155b2 100644 --- a/website/docs/docs/build/tests.md +++ b/website/docs/docs/build/tests.md @@ -163,7 +163,7 @@ Done. PASS=2 WARN=0 ERROR=0 SKIP=0 TOTAL=2 ``` 3. Check out the SQL dbt is running by either: * **dbt Cloud:** checking the Details tab. - * **dbt CLI:** checking the `target/compiled` directory + * **dbt Core:** checking the `target/compiled` directory **Unique test** diff --git a/website/docs/docs/cloud/about-cloud/regions-ip-addresses.md b/website/docs/docs/cloud/about-cloud/regions-ip-addresses.md index caeb0203a5e..4fcabbb3585 100644 --- a/website/docs/docs/cloud/about-cloud/regions-ip-addresses.md +++ b/website/docs/docs/cloud/about-cloud/regions-ip-addresses.md @@ -25,3 +25,13 @@ dbt Cloud is [hosted](/docs/cloud/about-cloud/architecture) in multiple regions There are two ways to view your dbt Cloud IP addresses: - If no projects exist in the account, create a new project, and the IP addresses will be displayed during the **Configure your environment** steps. - If you have an existing project, navigate to **Account Settings** and ensure you are in the **Projects** pane. Click on a project name, and the **Project Settings** window will open. Locate the **Connection** field and click on the name. Scroll down to the **Settings**, and the first text block lists your IP addresses. + +### Static IP addresses + +dbt Cloud, like many cloud services, relies on underlying AWS cloud infrastructure for operations. While we can offer static URLs for access, we cannot provide a list of IP addresses to configure connections due to the nature of AWS cloud services. + +* Dynamic IP addresses — dbt Cloud infrastructure uses Amazon Web Services (AWS). dbt Cloud offers static URLs for streamlined access, but the dynamic nature of cloud services means the underlying IP addresses change occasionally. AWS manages the IP ranges and may change them according to their operational and security needs. + +* Using hostnames for consistent access — To ensure uninterrupted access, we recommend that you dbt Cloud services using hostnames. Hostnames provide a consistent reference point, regardless of any changes in underlying IP addresses. We are aligning with an industry-standard practice employed by organizations such as Snowflake. + +* Optimizing VPN connections &mdash: You should integrate a proxy alongside VPN for users who leverage VPN connections. This strategy enables steady IP addresses for your connections, facilitating smooth traffic flow through the VPN and onward to dbt Cloud. By employing a proxy and a VPN, you can direct traffic through the VPN and then to dbt Cloud. It's crucial to set up the proxy if you need to integrate with additional services. diff --git a/website/docs/docs/cloud/billing.md b/website/docs/docs/cloud/billing.md index 1d71d33e9a1..ef3eb00a3c6 100644 --- a/website/docs/docs/cloud/billing.md +++ b/website/docs/docs/cloud/billing.md @@ -11,9 +11,11 @@ dbt Cloud offers a variety of [plans and pricing](https://www.getdbt.com/pricing ## How does dbt Cloud pricing work? -As a customer, you pay for the number of seats you have and the amount of usage consumed each month. Seats are billed primarily on the amount of Developer and Read licenses purchased. Usage is based on the number of [Successful Models Built](#what-counts-as-a-successful-model-built) and, if purchased and used, Semantic Layer Query Units subject to reasonable usage. All billing computations are conducted in Coordinated Universal Time (UTC). +As a customer, you pay for the number of seats you have and the amount of usage consumed each month. Seats are billed primarily on the amount of Developer and Read licenses purchased. -### What counts as a seat license? +Usage is based on the number of [Successful Models Built](#what-counts-as-a-successful-model-built) and, if purchased and used, Semantic Layer [Queried Metrics](#what-counts-as-a-queried-metric) subject to reasonable usage. All billing computations are conducted in Coordinated Universal Time (UTC). + +### What counts as a seat license? There are three types of possible seat licenses: @@ -37,47 +39,46 @@ Any models built in a dbt Cloud development environment (for example, via the ID | Seeds | ❌ | | Snapshots | ❌ | -### What counts as a Query Unit?​ +### What counts as a Queried Metric? -The dbt Semantic Layer, powered by MetricFlow, measures usage in distinct query units. Every successful request you make to render or run SQL to the Semantic Layer API counts as at least one query unit, even if no data is returned. If the query calculates or renders SQL for multiple metrics, each calculated metric will be counted as a query unit. -If a request to run a query is not executed successfully in the data platform or if a query results in an error without completion, it is not counted as a query unit. Requests for metadata from the Semantic Layer are also not counted as query units. +The dbt Semantic Layer, powered by MetricFlow, measures usage in distinct Queried Metrics. -Examples of query units include: +- Every successful request you make to render or run SQL to the Semantic Layer API counts as at least one queried metric, even if no data is returned. +- If the query calculates or renders SQL for multiple metrics, each calculated metric will be counted as a queried metric. +- If a request to run a query is not executed successfully in the data platform or if a query results in an error without completion, it is not counted as a queried metric. +- Requests for metadata from the Semantic Layer are also not counted as queried metrics. -Querying one metric, grouping by one dimension → 1 query unit +Examples of queried metrics include: -```shell -dbt sl query --metrics revenue --group_by metric_time -``` -Querying one metric, grouping by two dimensions → 1 query unit +- Querying one metric, grouping by one dimension → 1 queried metric -```shell -dbt sl query --metrics revenue --group_by metric_time,user__country -``` + ```shell + dbt sl query --metrics revenue --group_by metric_time + ``` -Querying two metrics, grouping by two dimensions → 2 query units +- Querying one metric, grouping by two dimensions → 1 queried metric -```shell -dbt sl query --metrics revenue,gross_sales --group_by metric_time,user__country -``` + ```shell + dbt sl query --metrics revenue --group_by metric_time,user__country + ``` -Running an explain for one metric → 1 query unit +- Querying two metrics, grouping by two dimensions → 2 queried metrics -```shell -dbt sl query --metrics revenue --group_by metric_time --explain -``` + ```shell + dbt sl query --metrics revenue,gross_sales --group_by metric_time,user__country + ``` -Running an explain for two metrics → 2 query units +- Running an explain for one metric → 1 queried metric -```shell -dbt sl query --metrics revenue,gross_sales --group_by metric_time --explain -``` + ```shell + dbt sl query --metrics revenue --group_by metric_time --explain + ``` -Running a query for only dimensions such as dimension_values or a query with no metrics → 1 query unit +- Running an explain for two metrics → 2 queried metrics -```shell -bt sl list dimension-values --dimension user__country -``` + ```shell + dbt sl query --metrics revenue,gross_sales --group_by metric_time --explain + ``` ### Viewing usage in the product @@ -94,7 +95,7 @@ On each Project Home page, any user with access to that project can see how many In addition, you can look at the Job Details page's Insights tab to show how many models are being built per month for that particular job and which models are taking the longest to build. -Any usage data is only an estimate of your usage, and there may be a delay in showing usage data in the product — your final usage for the month will be visible on your monthly statements (statements applicable to Team and Enterprise plans). +Usage information is available to customers on consumption-based plans, and some usage visualizations might not be visible to customers on legacy plans. Any usage data shown in dbt Cloud is only an estimate of your usage, and there could be a delay in showing usage data in the product. Your final usage for the month will be visible on your monthly statements (statements applicable to Team and Enterprise plans). ## Plans and Billing @@ -253,8 +254,7 @@ _Yes. Your dbt Cloud account will be upgraded without impacting your existing pr _The best option is to consult with our sales team. They'll help you figure out what is right for your needs. We also offer a free two-week trial on the Team plan._ * What are the Semantic Layer trial terms? -_Team and Enterprise customers can sign up for a free trial of the dbt Semantic Layer, powered by MetricFlow, for use of up to 1,000 query units per month. The trial will be available at least through January 2024. dbt Labs may extend the trial period in its sole discretion. During the trial period, we may reach out to discuss pricing options or ask for feedback. At the end of the trial, free access may be removed and a purchase may be required to continue use. dbt Labs reserves the right to change limits in a free trial or institute pricing when required or at any time in its sole discretion._ +_Team and Enterprise customers can sign up for a free trial of the dbt Semantic Layer, powered by MetricFlow, for use of up to 1,000 Queried Metrics per month. The trial will be available at least through January 2024. dbt Labs may extend the trial period in its sole discretion. During the trial period, we may reach out to discuss pricing options or ask for feedback. At the end of the trial, free access may be removed and a purchase may be required to continue use. dbt Labs reserves the right to change limits in a free trial or institute pricing when required or at any time in its sole discretion._ * What is the reasonable use limitation for the dbt Semantic Layer powered by MetricFlow during the trial? _Each account will be limited to 1,000 Queried Metrics per month during the trial period and may be changed at the sole discretion of dbt Labs._ - diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md index 179af745685..70ae74c3df7 100644 --- a/website/docs/docs/cloud/cloud-cli-installation.md +++ b/website/docs/docs/cloud/cloud-cli-installation.md @@ -26,15 +26,14 @@ dbt commands are run against dbt Cloud's infrastructure and benefit from: The dbt Cloud CLI is available in all [deployment regions](/docs/cloud/about-cloud/regions-ip-addresses) and for both multi-tenant and single-tenant accounts (Azure single-tenant not supported at this time). - Ensure you are using dbt version 1.5 or higher. Refer to [dbt Cloud versions](/docs/dbt-versions/upgrade-core-in-cloud) to upgrade. -- Avoid using SSH tunneling for [Postgres and Redshift](/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb) connections. -- Avoid using [PrivateLink](/docs/cloud/secure/about-privatelink). +- Note that SSH tunneling for [Postgres and Redshift](/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb) connections and [Single sign-on (SSO)](/docs/cloud/manage-access/sso-overview) doesn't support the dbt Cloud CLI yet. ## Install dbt Cloud CLI You can install the dbt Cloud CLI on the command line by using one of these methods.
-View a video tutorial for a step-by-step guide to installing +View a video tutorial for a step-by-step guide to installation. @@ -44,28 +43,26 @@ You can install the dbt Cloud CLI on the command line by using one of these meth -Before you begin, make sure you have [Homebrew installed](http://brew.sh/) in your code editor or command line terminal. Refer to the [FAQs](#faqs) if your operating system runs into path conflicts. +Before you begin, make sure you have [Homebrew installed](http://brew.sh/) in your code editor or command line terminal. Refer to the [FAQs](#faqs) if your operating system runs into path conflicts. -1. Run the following command to verify that you don't already have dbt Core installed: +1. Verify that you don't already have dbt Core installed: ```bash which dbt ``` - - This should return a `dbt not found`. If the dbt help text appears, use `pip uninstall dbt` to remove dbt Core from your machine.
+ - If you see a `dbt not found`, you're good to go. If the dbt help text appears, use `pip uninstall dbt` to remove dbt Core from your system.
2. Install the dbt Cloud CLI with Homebrew: - First, remove the dbt-labs tap, the separate repository for packages, from Homebrew. This prevents Homebrew from installing packages from that repository: ```bash brew untap dbt-labs/dbt - - Then run `brew tap` to add and install the dbt Cloud CLI as a package: + - Then, add and install the dbt Cloud CLI as a package: ```bash brew tap dbt-labs/dbt-cli - ``` - - Lastly, install the dbt Cloud CLI with Homebrew: - ```bash brew install dbt ``` + If you have multiple taps, use `brew install dbt-labs/dbt-cli/dbt`. 3. Verify your installation by running `dbt --help` in the command line. If you see the following output, your installation is correct: ```bash @@ -77,7 +74,7 @@ Before you begin, make sure you have [Homebrew installed](http://brew.sh/) in yo * Note that you no longer need to run the `dbt deps` command when your environment starts. This step was previously required during initialization. However, you should still run `dbt deps` if you make any changes to your `packages.yml` file. 4. After you've verified the installation, [configure](/docs/cloud/configure-cloud-cli) the dbt Cloud CLI for your dbt Cloud project and use it to run [dbt commands](/reference/dbt-commands) similar to dbt Core. For example, execute `dbt compile` to compile a project using dbt Cloud and validate your models and tests. - * If you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file locally on your machine. + @@ -106,7 +103,6 @@ Note that if you are using VS Code, you must restart it to pick up modified envi * Note that you no longer need to run the `dbt deps` command when your environment starts. This step was previously required during initialization. However, you should still run `dbt deps` if you make any changes to your `packages.yml` file. 4. After installation, [configure](/docs/cloud/configure-cloud-cli) the dbt Cloud CLI for your dbt Cloud project and use it to run [dbt commands](/reference/dbt-commands) similar to dbt Core. For example, execute `dbt compile`, to compile a project using dbt Cloud and confirm that it works. - * If you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file locally on your machine. @@ -139,49 +135,50 @@ Advanced users can configure multiple projects to use the same Cloud CLI executa * Note that you no longer need to run the `dbt deps` command when your environment starts. This step was previously required during initialization. However, you should still run `dbt deps` if you make any changes to your `packages.yml` file. 4. After installation, [configure](/docs/cloud/configure-cloud-cli) the dbt Cloud CLI for your dbt Cloud project and use it to run [dbt commands](/reference/dbt-commands) similar to dbt Core. For example, execute `dbt compile`, to compile a project using dbt Cloud and confirm that it works. - * If you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file locally on your machine. +If you already have dbt Core installed, the dbt Cloud CLI may conflict. Here are some considerations: -:::info Use native packages or a virtual environment to prevent dbt Core conflicts - -To prevent overwriting dbt Core, avoid installing the dbt Cloud CLI with pip. Instead, consider using the native installation method and configuring your PATH or create a new virtual environment. - -If you've already installed the dbt Cloud CLI and need to switch back to dbt Core, uninstall the dbt Cloud CLI, and follow the dbt Core installation instructions. - -You can also have both dbt Cloud CLI and dbt Core installed simultaneously. To avoid conflicts, alias the dbt Cloud CLI as `dbt-cloud`. For more details, check the [FAQs](#faqs) if your operating system experiences path conflicts. -::: +- **Prevent conflicts**
Use both the dbt Cloud CLI and dbt Core with `pip` and create a new virtual environment.

+- **Use both dbt Cloud CLI and dbt Core with brew or native installs**
If you use Homebrew, consider aliasing the dbt Cloud CLI as "dbt-cloud" to avoid conflict. For more details, check the [FAQs](#faqs) if your operating system experiences path conflicts.

+- **Reverting back to dbt Core from the dbt Cloud CLI**
+ If you've already installed the dbt Cloud CLI and need to switch back to dbt Core:
+ - Uninstall the dbt Cloud CLI using the command: `pip uninstall dbt` + - Reinstall dbt Core using the following command, replacing "adapter_name" with the appropriate adapter name: + ```shell + pip install dbt-adapter_name --force-reinstall + ``` + For example, if I used Snowflake as an adapter, I would run: `pip install dbt-snowflake --force-reinstall` +-------- Before installing the dbt Cloud CLI, make sure you have Python installed and your virtual environment venv or pyenv . If you already have a Python environment configured, you can skip to the [pip installation step](#install-dbt-cloud-cli-in-pip). - ### Install a virtual environment We recommend using virtual environments (venv) to namespace `cloud-cli`. -1. Create a new venv: +1. Create a new virtual environment named "dbt-cloud" with this command: ```shell python3 -m venv dbt-cloud ``` -2. Activate the virtual environment each time you create a shell window or session: - ```shell - source dbt-cloud/bin/activate # activate the environment for Mac and Linux OR - dbt-env\Scripts\activate # activate the environment for Windows - ``` +2. Activate the virtual environment each time you create a shell window or session, depending on your operating system: + + - For Mac and Linux, use: `source dbt-cloud/bin/activate`
+ - For Windows, use: `dbt-env\Scripts\activate` -3. (Mac and Linux only) Create an alias to activate your dbt environment with every new shell window or session. You can add the following to your shell's configuration file (for example, $HOME/.bashrc, $HOME/.zshrc) while replacing `` with the path to your virtual environment configuration: +3. (Mac and Linux only) Create an alias to activate your dbt environment with every new shell window or session. You can add the following to your shell's configuration file (for example, `$HOME/.bashrc, $HOME/.zshrc`) while replacing `` with the path to your virtual environment configuration: ```shell alias env_dbt='source /bin/activate' ``` - + ### Install dbt Cloud CLI in pip -1. (Optional) If you already have dbt Core installed, this installation will override that package. Note your dbt Core version in case you need to reinstall it later: +1. (Optional) If you already have dbt Core installed, this installation will override that package. Check your dbt Core version in case you need to reinstall it later by running the following command : ```bash dbt --version @@ -193,25 +190,23 @@ We recommend using virtual environments (venv) to namespace `cloud-cli`. pip3 install dbt ``` -3. (Optional) To revert back to dbt Core, first uninstall both the dbt Cloud CLI and dbt Core -4. Reinstall dbt Core using the version from Step 2. +1. (Optional) To revert back to dbt Core, first uninstall both the dbt Cloud CLI and dbt Core. Then reinstall dbt Core. ```bash pip3 uninstall dbt-core dbt - pip3 install dbt-core==VERSION + pip install dbt-adapter_name --force-reinstall ``` -4. After you've verified the installation, [configure](/docs/cloud/configure-cloud-cli) the dbt Cloud CLI for your dbt Cloud project and use it to run [dbt commands](/reference/dbt-commands) similar to dbt Core. For example, execute `dbt compile` to compile a project using dbt Cloud and validate your models and tests. - * If you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file locally on your machine. +4. After you've verified the installation, [configure](/docs/cloud/configure-cloud-cli) the dbt Cloud CLI for your dbt Cloud project. You can then use it to run [dbt commands](/reference/dbt-commands) similar to dbt Core. For example, execute `dbt compile` to compile a project using dbt Cloud and validate your models and tests. - + ## Update dbt Cloud CLI -The following instructions explain how to update the dbt CLoud CLI to the latest version depending on your operating system. +The following instructions explain how to update the dbt Cloud CLI to the latest version depending on your operating system. During the public preview period, we recommend updating before filing a bug report. This is because the API is subject to breaking changes. @@ -246,6 +241,13 @@ To update: +## Using VS Code extensions + +Visual Studio (VS) Code extensions enhance command line tools by adding extra functionalities. The dbt Cloud CLI is fully compatible with dbt Core, however it doesn't support some dbt Core APIs required by certain tools, for example VS Code extensions. + +To use these extensions, such as dbt-power-user, with the dbt Cloud CLI, you can install it using Homebrew (along with dbt Core) and create an alias to run the dbt Cloud CLI as `dbt-cloud`. This allows dbt-power-user to continue to invoke dbt Core under the hood, alongside the dbt Cloud CLI. + + ## FAQs
@@ -257,17 +259,39 @@ The dbt Cloud CLI and dbt Core How do I run both the dbt Cloud CLI and dbt Core? -For compatibility, both the dbt Cloud CLI and dbt Core are invoked by running dbt. This can create path conflicts if your operating system selects one over the other based on your $PATH environment variable (settings). +For compatibility, both the dbt Cloud CLI and dbt Core are invoked by running dbt. This can create path conflicts if your operating system selects one over the other based on your $PATH environment variable (settings).
If you have dbt Core installed locally, either: -1. Install using [pip](/docs/cloud/cloud-cli-installation?install=pip#install-dbt-cloud-cli). - -2. Install natively, but ensure that you deactivate your Python environment or uninstall it using `pip uninstall dbt` before proceeding. - +1. Install using the pip3 install dbt [pip](/docs/cloud/cloud-cli-installation?install=pip#install-dbt-cloud-cli) command. +2. Install natively, ensuring you either deactivate the virtual environment containing dbt Core or create an alias for the dbt Cloud CLI. 3. (Advanced users) Install natively, but modify the $PATH environment variable to correctly point to the dbt Cloud CLI binary to use both dbt Cloud CLI and dbt Core together. You can always uninstall the dbt Cloud CLI to return to using dbt Core.
+
+How to create an alias? +To create an alias for the dbt Cloud CLI:
+ +1. Open your shell's profile configuration file. Depending on your shell and system, this could be ~/.bashrc, ~/.bash_profile, ~/.zshrc, or another file.
+ +2. Add an alias that points to the dbt Cloud CLI binary. For example:alias dbt-cloud="path_to_dbt_cloud_cli_binary + + Replace path_to_dbt_cloud_cli_binary with the actual path to the dbt Cloud CLI binary, which is /opt/homebrew/bin/dbt. With this alias, you can use the command dbt-cloud to invoke the dbt Cloud CLI.
+ +3. Save the file and then either restart your shell or run source on the profile file to apply the changes. +As an example, in bash you would run: source ~/.bashrc
+ +1. Test and use the alias to run commands:
+ - To run the dbt Cloud CLI, use the dbt-cloud command: dbt-cloud command_name. Replace 'command_name' with the specific dbt command you want to execute.
+ - To run the dbt Core, use the dbt command: dbt command_name. Replace 'command_name' with the specific dbt command you want to execute.
+ +This alias will allow you to use the dbt-cloud command to invoke the dbt Cloud CLI while having dbt Core installed natively. +
+ +
+Why am I receiving a Session occupied error? +If you've ran a dbt command and receive a Session occupied error, you can reattach to your existing session with dbt reattach and then press Control-C and choose to cancel the invocation. +
diff --git a/website/docs/docs/cloud/configure-cloud-cli.md b/website/docs/docs/cloud/configure-cloud-cli.md index a8c0c1e0aec..35f82cff8cf 100644 --- a/website/docs/docs/cloud/configure-cloud-cli.md +++ b/website/docs/docs/cloud/configure-cloud-cli.md @@ -14,10 +14,8 @@ import CloudCLIFlag from '/snippets/_cloud-cli-flag.md'; ## Prerequisites - You must set up a project in dbt Cloud. - - **Note** — If you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file. + - **Note** — If you're using the dbt Cloud CLI, you can connect to your [data platform](/docs/cloud/connect-data-platform/about-connections) directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file. - You must have your [personal development credentials](/docs/dbt-cloud-environments#set-developer-credentials) set for that project. The dbt Cloud CLI will use these credentials, stored securely in dbt Cloud, to communicate with your data platform. -- You must [enroll](/docs/dbt-versions/experimental-features) in the dbt Cloud beta features. - - To enroll, navigate to your **Profile Settings** and enable the **Beta** flag under **Experimental Features**. - You must be on dbt version 1.5 or higher. Refer to [dbt Cloud versions](/docs/dbt-versions/upgrade-core-in-cloud) to upgrade. ## Configure the dbt Cloud CLI @@ -89,10 +87,10 @@ To set environment variables in the dbt Cloud CLI for your dbt project: ## Use the dbt Cloud CLI -- The dbt Cloud CLI shares the same set of [dbt commands](/reference/dbt-commands) as dbt Core and processes the commands you invoke. -- It allows you to use automatic deferral of build artifacts to your Cloud project's production environment. +- The dbt Cloud CLI uses the same set of [dbt commands](/reference/dbt-commands) and [MetricFlow commands](/docs/build/metricflow-commands) as dbt Core to execute the commands you provide. +- It allows you to automatically defer build artifacts to your Cloud project's production environment. - It also supports [project dependencies](/docs/collaborate/govern/project-dependencies), which allows you to depend on another project using the metadata service in dbt Cloud. - - Project dependencies instantly connect to and reference (or `ref`) public models defined in other projects. This means you don't need to execute or analyze these upstream models yourself. Instead, you treat them as an API that returns a dataset. + - Project dependencies instantly connect to and reference (or `ref`) public models defined in other projects. You don't need to execute or analyze these upstream models yourself. Instead, you treat them as an API that returns a dataset. :::tip Use the --help flag As a tip, most command-line tools have a `--help` flag to show available commands and arguments. Use the `--help` flag with dbt in two ways: diff --git a/website/docs/docs/cloud/connect-data-platform/connect-databricks.md b/website/docs/docs/cloud/connect-data-platform/connect-databricks.md index b66f5890c61..032246ad16a 100644 --- a/website/docs/docs/cloud/connect-data-platform/connect-databricks.md +++ b/website/docs/docs/cloud/connect-data-platform/connect-databricks.md @@ -26,6 +26,8 @@ Unity Catalog allows Databricks users to centrally manage all data assets, simpl To learn how to optimize performance with data platform-specific configurations in dbt Cloud, refer to [Databricks-specific configuration](/reference/resource-configs/databricks-configs). +To grant users or roles database permissions (access rights and privileges), refer to the [example permissions](/reference/database-permissions/databricks-permissions) page. + To set up the Databricks connection, supply the following fields: diff --git a/website/docs/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb.md b/website/docs/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb.md index dae0ee1d178..486aa787936 100644 --- a/website/docs/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb.md +++ b/website/docs/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb.md @@ -15,7 +15,7 @@ The following fields are required when creating a Postgres, Redshift, or AlloyDB **Note**: When you set up a Redshift or Postgres connection in dbt Cloud, SSL-related parameters aren't available as inputs. - + ### Connecting via an SSH Tunnel @@ -23,7 +23,7 @@ To connect to a Postgres, Redshift, or AlloyDB instance via an SSH tunnel, selec Once the connection is saved, a public key will be generated and displayed for the Connection. You can copy this public key to the bastion server to authorize dbt Cloud to connect to your database via the bastion server. - + #### About the Bastion server in AWS @@ -61,6 +61,39 @@ chmod 600 ~/.ssh/authorized_keys The Bastion server should now be ready for dbt Cloud to use as a tunnel into the Redshift environment. +#### Intermittent connection issues + +
+ Database Error - could not connect to server: Connection timed out + You will have the following components when you configure a connection to a database using an SSH tunnel:
+ - An Elastic Load Balancer (ELB) or Network Load Balancing (NLB) instance.
+ - A bastion host (or jump server) running the sshd process.
+ - A Database (such as Redshift cluster)

+ +dbt Cloud establishes an SSH tunnel connection through the ELB or NLB to the sshd process. This is responsible for routing traffic to the database. When dbt initiates a job run, an SSH tunnel is created at the start of the run. If this SSH tunnel fails at any point, the job will also fail.
+ + The most common causes of tunnel failures are:
+ - The SSH daemon terminates the session due to an idle timeout.
+ - The ELB or NLB terminates the connection when it's idle.
+ +dbt Cloud sets a value for its SSH tunnel called `ServerAliveInterval` and `ServerAliveCountMax` that polls the connection every 30 seconds and the underlying OS in our run "pods" will terminate the connection if the `sshd` process fails to respond after 300s. This will, in many cases, prevent an idle timeout entirely so long as the customer is not using ELB with a firewall-level idle timeout of less than 30 seconds. However, if the customer is using ELB and is using an Idle Connection Timeout of less than 30s, this will be insufficient to prevent tunnels from being terminated.
+ +Some versions of Linux used on bastion hosts use a version of `sshd` with additional idle timeout settings `ClientAliveCountMax`. This value sets the number of client alive messages that may be sent without `sshd` receiving any messages back from the client. If this threshold is reached while client alive messages are being sent, `sshd` will disconnect the client, terminating the session. The client-alive mechanism is helpful when the client or server needs to know when a connection has become inactive. The default value is 3.

+ +`ClientAliveInterval`:
+This value sets a timeout interval in seconds after which if no data has been received from the client, `sshd` will send a message through the encrypted channel to request a response from the client. The default is 0, indicating that these messages will not be sent to the client.
+ +Using default values, tunnels could be terminated prematurely by `sshd`. To solve this problem, the `/etc/ssh/sshd_config` file on the bastion host can be configured with the following values:

+- `ClientAliveCountMax` 10
+- `ClientAliveInterval` 30
+where `ClientAliveCountMax` should be set to a non-zero value and `ClientAliveInterval` should be a value less than the ELB or NLB idle timeout value.
+ +With these settings, unresponsive SSH clients will be disconnected after approximately 300 seconds, helping to prevent tunnel failures. +
+ + ## Configuration To learn how to optimize performance with data platform-specific configurations in dbt Cloud, refer to [Redshift-specific configuration](/reference/resource-configs/redshift-configs). + +To grant users or roles database permissions (access rights and privileges), refer to the [Redshift permissions](/reference/database-permissions/redshift-permissions) page or [Postgres permissions](/reference/database-permissions/postgres-permissions) page. diff --git a/website/docs/docs/cloud/connect-data-platform/connect-snowflake.md b/website/docs/docs/cloud/connect-data-platform/connect-snowflake.md index 62a58f6e1c5..5f1c4cae725 100644 --- a/website/docs/docs/cloud/connect-data-platform/connect-snowflake.md +++ b/website/docs/docs/cloud/connect-data-platform/connect-snowflake.md @@ -15,7 +15,7 @@ The following fields are required when creating a Snowflake connection | Warehouse | The virtual warehouse to use for running queries. | `transforming` | -**Note:** A crucial part of working with dbt atop Snowflake is ensuring that users (in development environments) and/or service accounts (in deployment to production environments) have the correct permissions to take actions on Snowflake! Here is documentation of some [example permissions to configure Snowflake access](/reference/snowflake-permissions). +**Note:** A crucial part of working with dbt atop Snowflake is ensuring that users (in development environments) and/or service accounts (in deployment to production environments) have the correct permissions to take actions on Snowflake! Here is documentation of some [example permissions to configure Snowflake access](/reference/database-permissions/snowflake-permissions). ### Username / Password diff --git a/website/docs/docs/cloud/manage-access/set-up-sso-azure-active-directory.md b/website/docs/docs/cloud/manage-access/set-up-sso-azure-active-directory.md index 349c3d8ecd7..28d20b526db 100644 --- a/website/docs/docs/cloud/manage-access/set-up-sso-azure-active-directory.md +++ b/website/docs/docs/cloud/manage-access/set-up-sso-azure-active-directory.md @@ -144,7 +144,7 @@ To complete setup, follow the steps below in the dbt Cloud application. | ----- | ----- | | **Log in with** | Azure AD Single Tenant | | **Client ID** | Paste the **Application (client) ID** recorded in the steps above | -| **Client Secret** | Paste the **Client Secret** (remember to use the Secret Value instead of the Secret ID) recorded in the steps above | +| **Client Secret** | Paste the **Client Secret** (remember to use the Secret Value instead of the Secret ID) recorded in the steps above;
**Note:** When the client secret expires, an Azure AD admin will have to generate a new one to be pasted into dbt Cloud for uninterrupted application access. | | **Tenant ID** | Paste the **Directory (tenant ID)** recorded in the steps above | | **Domain** | Enter the domain name for your Azure directory (such as `fishtownanalytics.com`). Only use the primary domain; this won't block access for other domains. | | **Slug** | Enter your desired login slug. Users will be able to log into dbt Cloud by navigating to `https://YOUR_ACCESS_URL/enterprise-login/LOGIN-SLUG`, replacing `YOUR_ACCESS_URL` with the [appropriate Access URL](/docs/cloud/manage-access/sso-overview#auth0-multi-tenant-uris) for your region and plan. Login slugs must be unique across all dbt Cloud accounts, so pick a slug that uniquely identifies your company. | diff --git a/website/docs/docs/cloud/manage-access/set-up-sso-saml-2.0.md b/website/docs/docs/cloud/manage-access/set-up-sso-saml-2.0.md index 5ccb2600005..ba925fa2c24 100644 --- a/website/docs/docs/cloud/manage-access/set-up-sso-saml-2.0.md +++ b/website/docs/docs/cloud/manage-access/set-up-sso-saml-2.0.md @@ -89,7 +89,7 @@ them to complete setup in dbt Cloud. ### Finish setup -After creating the Okta application, follow the instructions in the [dbt Cloud Setup](#dbt-cloud-setup) +After creating the application, follow the instructions in the [dbt Cloud Setup](#dbt-cloud-setup) section to complete the integration. ## Okta integration diff --git a/website/docs/docs/cloud/secure/about-privatelink.md b/website/docs/docs/cloud/secure/about-privatelink.md index 29003f65a21..b31e4c08a26 100644 --- a/website/docs/docs/cloud/secure/about-privatelink.md +++ b/website/docs/docs/cloud/secure/about-privatelink.md @@ -5,6 +5,10 @@ description: "Configuring PrivateLink for AWS" sidebar_label: "About PrivateLink" --- +import SetUpPages from '/snippets/_available-tiers-privatelink.md'; + + + PrivateLink enables a private connection from any dbt Cloud Multi-Tenant environment to your data platform hosted on AWS using [AWS PrivateLink](https://aws.amazon.com/privatelink/) technology. PrivateLink allows dbt Cloud customers to meet security and compliance controls as it allows connectivity between dbt Cloud and your data platform without traversing the public internet. This feature is supported in most regions across NA, Europe, and Asia, but [contact us](https://www.getdbt.com/contact/) if you have questions about availability. ### Cross-region PrivateLink diff --git a/website/docs/docs/cloud/secure/databricks-privatelink.md b/website/docs/docs/cloud/secure/databricks-privatelink.md index a2c9e208459..2311bdf2e6e 100644 --- a/website/docs/docs/cloud/secure/databricks-privatelink.md +++ b/website/docs/docs/cloud/secure/databricks-privatelink.md @@ -6,6 +6,10 @@ sidebar_label: "PrivateLink for Databricks" pagination_next: null --- +import SetUpPages from '/snippets/_available-tiers-privatelink.md'; + + + The following steps will walk you through the setup of a Databricks AWS PrivateLink endpoint in the dbt Cloud multi-tenant environment. ## Configure PrivateLink diff --git a/website/docs/docs/cloud/secure/postgres-privatelink.md b/website/docs/docs/cloud/secure/postgres-privatelink.md index 482aeb4040d..ef07d15c128 100644 --- a/website/docs/docs/cloud/secure/postgres-privatelink.md +++ b/website/docs/docs/cloud/secure/postgres-privatelink.md @@ -4,6 +4,9 @@ id: postgres-privatelink description: "Configuring PrivateLink for Postgres" sidebar_label: "PrivateLink for Postgres" --- +import SetUpPages from '/snippets/_available-tiers-privatelink.md'; + + A Postgres database, hosted either in AWS or in a properly connected on-prem data center, can be accessed through a private network connection using AWS Interface-type PrivateLink. The type of Target Group connected to the Network Load Balancer (NLB) may vary based on the location and type of Postgres instance being connected, as explained in the following steps. diff --git a/website/docs/docs/cloud/secure/redshift-privatelink.md b/website/docs/docs/cloud/secure/redshift-privatelink.md index 3ed49e7bb34..c42c703556b 100644 --- a/website/docs/docs/cloud/secure/redshift-privatelink.md +++ b/website/docs/docs/cloud/secure/redshift-privatelink.md @@ -5,6 +5,10 @@ description: "Configuring PrivateLink for Redshift" sidebar_label: "PrivateLink for Redshift" --- +import SetUpPages from '/snippets/_available-tiers-privatelink.md'; + + + AWS provides two different ways to create a PrivateLink VPC endpoint for a Redshift cluster that is running in another VPC: - [Redshift-managed PrivateLink Endpoints](https://docs.aws.amazon.com/redshift/latest/mgmt/managing-cluster-cross-vpc.html) - [Redshift Interface-type PrivateLink Endpoints](https://docs.aws.amazon.com/redshift/latest/mgmt/security-private-link.html) diff --git a/website/docs/docs/cloud/secure/snowflake-privatelink.md b/website/docs/docs/cloud/secure/snowflake-privatelink.md index bbbdf04ddf0..dd046259e4e 100644 --- a/website/docs/docs/cloud/secure/snowflake-privatelink.md +++ b/website/docs/docs/cloud/secure/snowflake-privatelink.md @@ -5,6 +5,10 @@ description: "Configuring PrivateLink for Snowflake" sidebar_label: "PrivateLink for Snowflake" --- +import SetUpPages from '/snippets/_available-tiers-privatelink.md'; + + + The following steps will walk you through the setup of a Snowflake AWS PrivateLink endpoint in the dbt Cloud multi-tenant environment. :::note Snowflake SSO with PrivateLink diff --git a/website/docs/docs/core/connect-data-platform/bigquery-setup.md b/website/docs/docs/core/connect-data-platform/bigquery-setup.md index 4169b782594..a630cbb0bd3 100644 --- a/website/docs/docs/core/connect-data-platform/bigquery-setup.md +++ b/website/docs/docs/core/connect-data-platform/bigquery-setup.md @@ -464,7 +464,7 @@ my-profile: role: dev runtime_config: properties: - spark.executor.instances: 3 + spark.executor.instances: "3" spark.driver.memory: 1g ``` diff --git a/website/docs/docs/core/connect-data-platform/teradata-setup.md b/website/docs/docs/core/connect-data-platform/teradata-setup.md index 1fe33ff8929..1ba8e506b88 100644 --- a/website/docs/docs/core/connect-data-platform/teradata-setup.md +++ b/website/docs/docs/core/connect-data-platform/teradata-setup.md @@ -4,7 +4,7 @@ description: "Read this guide to learn about the Teradata warehouse setup in dbt id: "teradata-setup" meta: maintained_by: Teradata - authors: Doug Beatty and Adam Tworkiewicz + authors: Teradata github_repo: 'Teradata/dbt-teradata' pypi_package: 'dbt-teradata' min_core_version: 'v0.21.0' @@ -41,6 +41,28 @@ pip is the easiest way to install the adapter:

Installing {frontMatter.meta.pypi_package} will also install dbt-core and any other dependencies.

+

Python compatibility

+ +| Plugin version | Python 3.6 | Python 3.7 | Python 3.8 | Python 3.9 | Python 3.10 | Python 3.11 | +| -------------- | ----------- | ----------- | ----------- | ----------- | ----------- | ------------ | +| 0.19.0.x | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ +| 0.20.0.x | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ +| 0.21.1.x | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ +| 1.0.0.x | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ +|1.1.x.x | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ +|1.2.x.x | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ +|1.3.x.x | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ +|1.4.x.x | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ +|1.5.x | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ +|1.6.x | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ + +

dbt dependent packages version compatibility

+ +| dbt-teradata | dbt-core | dbt-teradata-util | dbt-util | +|--------------|------------|-------------------|----------------| +| 1.2.x | 1.2.x | 0.1.0 | 0.9.x or below | + +

Configuring {frontMatter.meta.pypi_package}

For {frontMatter.meta.platform_name}-specifc configuration please refer to {frontMatter.meta.platform_name} Configuration

@@ -88,11 +110,15 @@ The plugin also supports the following optional connection parameters: Parameter | Default | Type | Description ----------------------- | ----------- | -------------- | --- `account` | | string | Specifies the database account. Equivalent to the Teradata JDBC Driver `ACCOUNT` connection parameter. +`browser` | | string | Specifies the command to open the browser for Browser Authentication, when logmech is BROWSER. Browser Authentication is supported for Windows and macOS. Equivalent to the Teradata JDBC Driver BROWSER connection parameter. +`browser_tab_timeout` | `"5"` | quoted integer | Specifies the number of seconds to wait before closing the browser tab after Browser Authentication is completed. The default is 5 seconds. The behavior is under the browser's control, and not all browsers support automatic closing of browser tabs. +`browser_timeout` | `"180"` | quoted integer | Specifies the number of seconds that the driver will wait for Browser Authentication to complete. The default is 180 seconds (3 minutes). `column_name` | `"false"` | quoted boolean | Controls the behavior of cursor `.description` sequence `name` items. Equivalent to the Teradata JDBC Driver `COLUMN_NAME` connection parameter. False specifies that a cursor `.description` sequence `name` item provides the AS-clause name if available, or the column name if available, or the column title. True specifies that a cursor `.description` sequence `name` item provides the column name if available, but has no effect when StatementInfo parcel support is unavailable. `connect_failure_ttl` | `"0"` | quoted integer | Specifies the time-to-live in seconds to remember the most recent connection failure for each IP address/port combination. The driver subsequently skips connection attempts to that IP address/port for the duration of the time-to-live. The default value of zero disables this feature. The recommended value is half the database restart time. Equivalent to the Teradata JDBC Driver `CONNECT_FAILURE_TTL` connection parameter. +`connect_timeout` | `"10000"` | quoted integer | Specifies the timeout in milliseconds for establishing a TCP socket connection. Specify 0 for no timeout. The default is 10 seconds (10000 milliseconds). `cop` | `"true"` | quoted boolean | Specifies whether COP Discovery is performed. Equivalent to the Teradata JDBC Driver `COP` connection parameter. `coplast` | `"false"` | quoted boolean | Specifies how COP Discovery determines the last COP hostname. Equivalent to the Teradata JDBC Driver `COPLAST` connection parameter. When `coplast` is `false` or omitted, or COP Discovery is turned off, then no DNS lookup occurs for the coplast hostname. When `coplast` is `true`, and COP Discovery is turned on, then a DNS lookup occurs for a coplast hostname. -`dbs_port` | `"1025"` | quoted integer | Specifies the database port number. Equivalent to the Teradata JDBC Driver `DBS_PORT` connection parameter. +`port` | `"1025"` | quoted integer | Specifies the database port number. Equivalent to the Teradata JDBC Driver `DBS_PORT` connection parameter. `encryptdata` | `"false"` | quoted boolean | Controls encryption of data exchanged between the driver and the database. Equivalent to the Teradata JDBC Driver `ENCRYPTDATA` connection parameter. `fake_result_sets` | `"false"` | quoted boolean | Controls whether a fake result set containing statement metadata precedes each real result set. `field_quote` | `"\""` | string | Specifies a single character string used to quote fields in a CSV file. @@ -102,11 +128,18 @@ Parameter | Default | Type | Description `lob_support` | `"true"` | quoted boolean | Controls LOB support. Equivalent to the Teradata JDBC Driver `LOB_SUPPORT` connection parameter. `log` | `"0"` | quoted integer | Controls debug logging. Somewhat equivalent to the Teradata JDBC Driver `LOG` connection parameter. This parameter's behavior is subject to change in the future. This parameter's value is currently defined as an integer in which the 1-bit governs function and method tracing, the 2-bit governs debug logging, the 4-bit governs transmit and receive message hex dumps, and the 8-bit governs timing. Compose the value by adding together 1, 2, 4, and/or 8. `logdata` | | string | Specifies extra data for the chosen logon authentication method. Equivalent to the Teradata JDBC Driver `LOGDATA` connection parameter. +`logon_timeout` | `"0"` | quoted integer | Specifies the logon timeout in seconds. Zero means no timeout. `logmech` | `"TD2"` | string | Specifies the logon authentication method. Equivalent to the Teradata JDBC Driver `LOGMECH` connection parameter. Possible values are `TD2` (the default), `JWT`, `LDAP`, `KRB5` for Kerberos, or `TDNEGO`. `max_message_body` | `"2097000"` | quoted integer | Specifies the maximum Response Message size in bytes. Equivalent to the Teradata JDBC Driver `MAX_MESSAGE_BODY` connection parameter. `partition` | `"DBC/SQL"` | string | Specifies the database partition. Equivalent to the Teradata JDBC Driver `PARTITION` connection parameter. +`request_timeout` | `"0"` | quoted integer | Specifies the timeout for executing each SQL request. Zero means no timeout. +`retries` | `0` | integer | Allows an adapter to automatically try again when the attempt to open a new connection on the database has a transient, infrequent error. This option can be set using the retries configuration. Default value is 0. The default wait period between connection attempts is one second. retry_timeout (seconds) option allows us to adjust this waiting period. +`runstartup` | "false" | quoted boolean | Controls whether the user's STARTUP SQL request is executed after logon. For more information, refer to User STARTUP SQL Request. Equivalent to the Teradata JDBC Driver RUNSTARTUP connection parameter. If retries is set to 3, the adapter will try to establish a new connection three times if an error occurs. +`sessions` | | quoted integer | Specifies the number of data transfer connections for FastLoad or FastExport. The default (recommended) lets the database choose the appropriate number of connections. Equivalent to the Teradata JDBC Driver SESSIONS connection parameter. `sip_support` | `"true"` | quoted boolean | Controls whether StatementInfo parcel is used. Equivalent to the Teradata JDBC Driver `SIP_SUPPORT` connection parameter. +`sp_spl` | `"true"` | quoted boolean | Controls whether stored procedure source code is saved in the database when a SQL stored procedure is created. Equivalent to the Teradata JDBC Driver SP_SPL connection parameter. `sslca` | | string | Specifies the file name of a PEM file that contains Certificate Authority (CA) certificates for use with `sslmode` values `VERIFY-CA` or `VERIFY-FULL`. Equivalent to the Teradata JDBC Driver `SSLCA` connection parameter. +`sslcrc` | `"ALLOW"` | string | Equivalent to the Teradata JDBC Driver SSLCRC connection parameter. Values are case-insensitive.
• ALLOW provides "soft fail" behavior such that communication failures are ignored during certificate revocation checking.
• REQUIRE mandates that certificate revocation checking must succeed. `sslcapath` | | string | Specifies a directory of PEM files that contain Certificate Authority (CA) certificates for use with `sslmode` values `VERIFY-CA` or `VERIFY-FULL`. Only files with an extension of `.pem` are used. Other files in the specified directory are not used. Equivalent to the Teradata JDBC Driver `SSLCAPATH` connection parameter. `sslcipher` | | string | Specifies the TLS cipher for HTTPS/TLS connections. Equivalent to the Teradata JDBC Driver `SSLCIPHER` connection parameter. `sslmode` | `"PREFER"` | string | Specifies the mode for connections to the database. Equivalent to the Teradata JDBC Driver `SSLMODE` connection parameter.
• `DISABLE` disables HTTPS/TLS connections and uses only non-TLS connections.
• `ALLOW` uses non-TLS connections unless the database requires HTTPS/TLS connections.
• `PREFER` uses HTTPS/TLS connections unless the database does not offer HTTPS/TLS connections.
• `REQUIRE` uses only HTTPS/TLS connections.
• `VERIFY-CA` uses only HTTPS/TLS connections and verifies that the server certificate is valid and trusted.
• `VERIFY-FULL` uses only HTTPS/TLS connections, verifies that the server certificate is valid and trusted, and verifies that the server certificate matches the database hostname. @@ -124,6 +157,91 @@ For the full description of the connection parameters see https://github.com/Ter * `ephemeral` * `incremental` +#### Incremental Materialization +The following incremental materialization strategies are supported: +* `append` (default) +* `delete+insert` +* `merge` + +To learn more about dbt incremental strategies please check [the dbt incremental strategy documentation](https://docs.getdbt.com/docs/build/incremental-models#about-incremental_strategy). + ### Commands All dbt commands are supported. + +## Support for model contracts +Model contracts are not yet supported with dbt-teradata. + +## Support for `dbt-utils` package +`dbt-utils` package is supported through `teradata/teradata_utils` dbt package. The package provides a compatibility layer between `dbt_utils` and `dbt-teradata`. See [teradata_utils](https://hub.getdbt.com/teradata/teradata_utils/latest/) package for install instructions. + +### Cross DB macros +Starting with release 1.3, some macros were migrated from [teradata-dbt-utils](https://github.com/Teradata/dbt-teradata-utils) dbt package to the connector. See the table below for the macros supported from the connector. + +For using cross DB macros, teradata-utils as a macro namespace will not be used, as cross DB macros have been migrated from teradata-utils to Dbt-Teradata. + + +#### Compatibility + +| Macro Group | Macro Name | Status | Comment | +|:---------------------:|:-----------------------------:|:---------------------:|:----------------------------------------------------------------------:| +| Cross-database macros | current_timestamp | :white_check_mark: | custom macro provided | +| Cross-database macros | dateadd | :white_check_mark: | custom macro provided | +| Cross-database macros | datediff | :white_check_mark: | custom macro provided, see [compatibility note](#datediff) | +| Cross-database macros | split_part | :white_check_mark: | custom macro provided | +| Cross-database macros | date_trunc | :white_check_mark: | custom macro provided | +| Cross-database macros | hash | :white_check_mark: | custom macro provided, see [compatibility note](#hash) | +| Cross-database macros | replace | :white_check_mark: | custom macro provided | +| Cross-database macros | type_string | :white_check_mark: | custom macro provided | +| Cross-database macros | last_day | :white_check_mark: | no customization needed, see [compatibility note](#last_day) | +| Cross-database macros | width_bucket | :white_check_mark: | no customization + + +#### examples for cross DB macros + ##### replace + {{ dbt.replace("string_text_column", "old_chars", "new_chars") }} + {{ replace('abcgef', 'g', 'd') }} + + ##### date_trunc + {{ dbt.date_trunc("date_part", "date") }} + {{ dbt.date_trunc("DD", "'2018-01-05 12:00:00'") }} + + ##### datediff + `datediff` macro in teradata supports difference between dates. Differece between timestamps is not supported. + + ##### hash + + `Hash` macro needs an `md5` function implementation. Teradata doesn't support `md5` natively. You need to install a User Defined Function (UDF): + 1. Download the md5 UDF implementation from Teradata (registration required): https://downloads.teradata.com/download/extensibility/md5-message-digest-udf. + 1. Unzip the package and go to `src` directory. + 1. Start up `bteq` and connect to your database. + 1. Create database `GLOBAL_FUNCTIONS` that will host the UDF. You can't change the database name as it's hardcoded in the macro: + ```sql + CREATE DATABASE GLOBAL_FUNCTIONS AS PERMANENT = 60e6, SPOOL = 120e6; + ``` + 1. Create the UDF. Replace `` with your current database user: + ```sql + GRANT CREATE FUNCTION ON GLOBAL_FUNCTIONS TO ; + DATABASE GLOBAL_FUNCTIONS; + .run file = hash_md5.btq + ``` + 1. Grant permissions to run the UDF with grant option. + ```sql + GRANT EXECUTE FUNCTION ON GLOBAL_FUNCTIONS TO PUBLIC WITH GRANT OPTION; + ``` + ##### last_day + + `last_day` in `teradata_utils`, unlike the corresponding macro in `dbt_utils`, doesn't support `quarter` datepart. + +## Limitations + +### Transaction mode +Only ANSI transaction mode is supported. + +## Credits + +The adapter was originally created by [Doug Beatty](https://github.com/dbeatty10). Teradata took over the adapter in January 2022. We are grateful to Doug for founding the project and accelerating the integration of dbt + Teradata. + +## License + +The adapter is published using Apache-2.0 License. Refer to the [terms and conditions](https://github.com/dbt-labs/dbt-core/blob/main/License.md) to understand items such as creating derivative work and the support model. diff --git a/website/docs/docs/core/installation-overview.md b/website/docs/docs/core/installation-overview.md index 25628b76358..cb1df26b0f8 100644 --- a/website/docs/docs/core/installation-overview.md +++ b/website/docs/docs/core/installation-overview.md @@ -23,7 +23,7 @@ Most command-line tools, including dbt, have a `--help` flag that you can use to ## Upgrading dbt Core -dbt provides a number of resources for understanding [general best practices](/blog/upgrade-dbt-without-fear) while upgrading your dbt project as well as detailed [migration guides](/guides/migration/versions/upgrading-to-v1.4) highlighting the changes required for each minor and major release, and [core versions](/docs/dbt-versions/core) +dbt provides a number of resources for understanding [general best practices](/blog/upgrade-dbt-without-fear) while upgrading your dbt project as well as detailed [migration guides](/docs/dbt-versions/core-upgrade/upgrading-to-v1.4) highlighting the changes required for each minor and major release, and [core versions](/docs/dbt-versions/core) - [Upgrade Homebrew](/docs/core/homebrew-install#upgrading-dbt-and-your-adapter) - [Upgrade `pip`](/docs/core/pip-install#change-dbt-core-versions) diff --git a/website/docs/guides/migration/versions/00-upgrading-to-v1.7.md b/website/docs/docs/dbt-versions/core-upgrade/00-upgrading-to-v1.7.md similarity index 96% rename from website/docs/guides/migration/versions/00-upgrading-to-v1.7.md rename to website/docs/docs/dbt-versions/core-upgrade/00-upgrading-to-v1.7.md index f350e8955f7..9ebd3c64cf3 100644 --- a/website/docs/guides/migration/versions/00-upgrading-to-v1.7.md +++ b/website/docs/docs/dbt-versions/core-upgrade/00-upgrading-to-v1.7.md @@ -1,8 +1,14 @@ --- -title: "Upgrading to v1.7 (beta)" +title: "Upgrading to v1.7 (latest)" +id: upgrading-to-v1.7 description: New features and changes in dbt Core v1.7 +displayed_sidebar: "docs" --- +import UpgradeMove from '/snippets/_upgrade-move.md'; + + + ## Resources - [Changelog](https://github.com/dbt-labs/dbt-core/blob/8aaed0e29f9560bc53d9d3e88325a9597318e375/CHANGELOG.md) diff --git a/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md b/website/docs/docs/dbt-versions/core-upgrade/01-upgrading-to-v1.6.md similarity index 97% rename from website/docs/guides/migration/versions/01-upgrading-to-v1.6.md rename to website/docs/docs/dbt-versions/core-upgrade/01-upgrading-to-v1.6.md index 50b0ca8bc58..f62b6308ce6 100644 --- a/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md +++ b/website/docs/docs/dbt-versions/core-upgrade/01-upgrading-to-v1.6.md @@ -1,8 +1,14 @@ --- -title: "Upgrading to v1.6 (latest)" +title: "Upgrading to v1.6" description: New features and changes in dbt Core v1.6 +id: "upgrading-to-v1.6" +displayed_sidebar: "docs" --- +import UpgradeMove from '/snippets/_upgrade-move.md'; + + + dbt Core v1.6 has three significant areas of focus: 1. Next milestone of [multi-project deployments](https://github.com/dbt-labs/dbt-core/discussions/6725): improvements to contracts, groups/access, versions; and building blocks for cross-project `ref` 1. Semantic layer re-launch: dbt Core and [MetricFlow](https://docs.getdbt.com/docs/build/about-metricflow) integration diff --git a/website/docs/guides/migration/versions/02-upgrading-to-v1.5.md b/website/docs/docs/dbt-versions/core-upgrade/02-upgrading-to-v1.5.md similarity index 95% rename from website/docs/guides/migration/versions/02-upgrading-to-v1.5.md rename to website/docs/docs/dbt-versions/core-upgrade/02-upgrading-to-v1.5.md index 0c7fc7ebcad..dded8a690fe 100644 --- a/website/docs/guides/migration/versions/02-upgrading-to-v1.5.md +++ b/website/docs/docs/dbt-versions/core-upgrade/02-upgrading-to-v1.5.md @@ -1,8 +1,14 @@ --- title: "Upgrading to v1.5" description: New features and changes in dbt Core v1.5 +id: "upgrading-to-v1.5" +displayed_sidebar: "docs" --- +import UpgradeMove from '/snippets/_upgrade-move.md'; + + + dbt Core v1.5 is a feature release, with two significant additions: 1. [**Model governance**](/docs/collaborate/govern/about-model-governance) — access, contracts, versions — the first phase of [multi-project deployments](https://github.com/dbt-labs/dbt-core/discussions/6725) 2. A Python entry point for [**programmatic invocations**](/reference/programmatic-invocations), at parity with the CLI @@ -148,4 +154,4 @@ Run `dbt --help` to see new & improved help documentation :) - The [`version: 2` top-level key](/reference/project-configs/version) is now **optional** in all YAML files. Also, the [`config-version: 2`](/reference/project-configs/config-version) and `version:` top-level keys are now optional in `dbt_project.yml` files. - [Events and logging](/reference/events-logging): Added `node_relation` (`database`, `schema`, `identifier`) to the `node_info` dictionary, available on node-specific events - Support setting `--project-dir` via environment variable: [`DBT_PROJECT_DIR`](/reference/dbt_project.yml) -- More granular [configurations](/reference/global-configs/about-global-configs) for logging (to set log format, log levels, and colorization) and cache population +- More granular configurations for logging (to set [log format](/reference/global-configs/logs#log-formatting), [log levels](/reference/global-configs/logs#log-level), and [colorization](/reference/global-configs/logs#color)) and [cache population](/reference/global-configs/cache#cache-population) diff --git a/website/docs/guides/migration/versions/03-upgrading-to-dbt-utils-v1.0.md b/website/docs/docs/dbt-versions/core-upgrade/03-upgrading-to-dbt-utils-v1.0.md similarity index 99% rename from website/docs/guides/migration/versions/03-upgrading-to-dbt-utils-v1.0.md rename to website/docs/docs/dbt-versions/core-upgrade/03-upgrading-to-dbt-utils-v1.0.md index 72c6fc3c968..a7b302c9a58 100644 --- a/website/docs/guides/migration/versions/03-upgrading-to-dbt-utils-v1.0.md +++ b/website/docs/docs/dbt-versions/core-upgrade/03-upgrading-to-dbt-utils-v1.0.md @@ -3,6 +3,10 @@ title: "Upgrading to dbt utils v1.0" description: New features and breaking changes to consider as you upgrade to dbt utils v1.0. --- +import UpgradeMove from '/snippets/_upgrade-move.md'; + + + # Upgrading to dbt utils v1.0 For the first time, [dbt utils](https://hub.getdbt.com/dbt-labs/dbt_utils/latest/) is crossing the major version boundary. From [last month’s blog post](https://www.getdbt.com/blog/announcing-dbt-v1.3-and-utils/): diff --git a/website/docs/guides/migration/versions/04-upgrading-to-v1.4.md b/website/docs/docs/dbt-versions/core-upgrade/04-upgrading-to-v1.4.md similarity index 97% rename from website/docs/guides/migration/versions/04-upgrading-to-v1.4.md rename to website/docs/docs/dbt-versions/core-upgrade/04-upgrading-to-v1.4.md index 3537eb1677a..6c6d96b2326 100644 --- a/website/docs/guides/migration/versions/04-upgrading-to-v1.4.md +++ b/website/docs/docs/dbt-versions/core-upgrade/04-upgrading-to-v1.4.md @@ -1,7 +1,14 @@ --- title: "Upgrading to v1.4" description: New features and changes in dbt Core v1.4 +id: "upgrading-to-v1.4" +displayed_sidebar: "docs" --- + +import UpgradeMove from '/snippets/_upgrade-move.md'; + + + ### Resources - [Changelog](https://github.com/dbt-labs/dbt-core/blob/1.4.latest/CHANGELOG.md) diff --git a/website/docs/guides/migration/versions/05-upgrading-to-v1.3.md b/website/docs/docs/dbt-versions/core-upgrade/05-upgrading-to-v1.3.md similarity index 97% rename from website/docs/guides/migration/versions/05-upgrading-to-v1.3.md rename to website/docs/docs/dbt-versions/core-upgrade/05-upgrading-to-v1.3.md index 5fdf559a267..f66d9bb9706 100644 --- a/website/docs/guides/migration/versions/05-upgrading-to-v1.3.md +++ b/website/docs/docs/dbt-versions/core-upgrade/05-upgrading-to-v1.3.md @@ -1,7 +1,14 @@ --- title: "Upgrading to v1.3" description: New features and changes in dbt Core v1.3 +id: "upgrading-to-v1.3" +displayed_sidebar: "docs" --- + +import UpgradeMove from '/snippets/_upgrade-move.md'; + + + ### Resources - [Changelog](https://github.com/dbt-labs/dbt-core/blob/1.3.latest/CHANGELOG.md) diff --git a/website/docs/guides/migration/versions/06-upgrading-to-v1.2.md b/website/docs/docs/dbt-versions/core-upgrade/06-upgrading-to-v1.2.md similarity index 96% rename from website/docs/guides/migration/versions/06-upgrading-to-v1.2.md rename to website/docs/docs/dbt-versions/core-upgrade/06-upgrading-to-v1.2.md index 91ffadf9093..16825ff4e2b 100644 --- a/website/docs/guides/migration/versions/06-upgrading-to-v1.2.md +++ b/website/docs/docs/dbt-versions/core-upgrade/06-upgrading-to-v1.2.md @@ -1,7 +1,14 @@ --- title: "Upgrading to v1.2" description: New features and changes in dbt Core v1.2 +id: "upgrading-to-v1.2" +displayed_sidebar: "docs" --- + +import UpgradeMove from '/snippets/_upgrade-move.md'; + + + ### Resources - [Changelog](https://github.com/dbt-labs/dbt-core/blob/1.2.latest/CHANGELOG.md) diff --git a/website/docs/guides/migration/versions/07-upgrading-to-v1.1.md b/website/docs/docs/dbt-versions/core-upgrade/07-upgrading-to-v1.1.md similarity index 97% rename from website/docs/guides/migration/versions/07-upgrading-to-v1.1.md rename to website/docs/docs/dbt-versions/core-upgrade/07-upgrading-to-v1.1.md index 131ecc97657..7819709558e 100644 --- a/website/docs/guides/migration/versions/07-upgrading-to-v1.1.md +++ b/website/docs/docs/dbt-versions/core-upgrade/07-upgrading-to-v1.1.md @@ -1,7 +1,14 @@ --- title: "Upgrading to v1.1" description: New features and changes in dbt Core v1.1 +id: "upgrading-to-v1.1" +displayed_sidebar: "docs" --- + +import UpgradeMove from '/snippets/_upgrade-move.md'; + + + ### Resources - [Changelog](https://github.com/dbt-labs/dbt-core/blob/1.1.latest/CHANGELOG.md) diff --git a/website/docs/guides/migration/versions/08-upgrading-to-v1.0.md b/website/docs/docs/dbt-versions/core-upgrade/08-upgrading-to-v1.0.md similarity index 98% rename from website/docs/guides/migration/versions/08-upgrading-to-v1.0.md rename to website/docs/docs/dbt-versions/core-upgrade/08-upgrading-to-v1.0.md index 9fc7991c087..7c67a1849a1 100644 --- a/website/docs/guides/migration/versions/08-upgrading-to-v1.0.md +++ b/website/docs/docs/dbt-versions/core-upgrade/08-upgrading-to-v1.0.md @@ -1,7 +1,14 @@ --- title: "Upgrading to v1.0" description: New features and changes in dbt Core v1.0 +id: "upgrading-to-v1.0" +displayed_sidebar: "docs" --- + +import UpgradeMove from '/snippets/_upgrade-move.md'; + + + ### Resources - [Discourse](https://discourse.getdbt.com/t/3180) diff --git a/website/docs/guides/migration/versions/09-upgrading-to-v0.21.md b/website/docs/docs/dbt-versions/core-upgrade/09-upgrading-to-v0.21.md similarity index 97% rename from website/docs/guides/migration/versions/09-upgrading-to-v0.21.md rename to website/docs/docs/dbt-versions/core-upgrade/09-upgrading-to-v0.21.md index e5fbdf3fc7c..d5b429132cd 100644 --- a/website/docs/guides/migration/versions/09-upgrading-to-v0.21.md +++ b/website/docs/docs/dbt-versions/core-upgrade/09-upgrading-to-v0.21.md @@ -1,8 +1,15 @@ --- title: "Upgrading to v0.21" +id: "upgrading-to-v0.21" +displayed_sidebar: "docs" --- +import UpgradeMove from '/snippets/_upgrade-move.md'; + + + + :::caution Unsupported version dbt Core v0.21 has reached the end of critical support. No new patch versions will be released, and it will stop running in dbt Cloud on June 30, 2022. Read ["About dbt Core versions"](/docs/dbt-versions/core) for more details. ::: diff --git a/website/docs/guides/migration/versions/10-upgrading-to-v0.20.md b/website/docs/docs/dbt-versions/core-upgrade/10-upgrading-to-v0.20.md similarity index 96% rename from website/docs/guides/migration/versions/10-upgrading-to-v0.20.md rename to website/docs/docs/dbt-versions/core-upgrade/10-upgrading-to-v0.20.md index 8b33bfa3879..61a7120370a 100644 --- a/website/docs/guides/migration/versions/10-upgrading-to-v0.20.md +++ b/website/docs/docs/dbt-versions/core-upgrade/10-upgrading-to-v0.20.md @@ -1,8 +1,13 @@ --- title: "Upgrading to v0.20" - +id: "upgrading-to-v0.20" +displayed_sidebar: "docs" --- +import UpgradeMove from '/snippets/_upgrade-move.md'; + + + :::caution Unsupported version dbt Core v0.20 has reached the end of critical support. No new patch versions will be released, and it will stop running in dbt Cloud on June 30, 2022. Read ["About dbt Core versions"](/docs/dbt-versions/core) for more details. ::: diff --git a/website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-11-0.md b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-11-0.md similarity index 95% rename from website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-11-0.md rename to website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-11-0.md index e307c46fdf9..e91dde4c923 100644 --- a/website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-11-0.md +++ b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-11-0.md @@ -1,8 +1,13 @@ --- title: "Upgrading to 0.11.0" id: "upgrading-to-0-11-0" +displayed_sidebar: "docs" --- +import UpgradeMove from '/snippets/_upgrade-move.md'; + + + ## Schema.yml v2 syntax dbt v0.11.0 adds an auto-generated docs site to your dbt project. To make effective use of the documentation site, you'll need to use the new "version 2" schema.yml syntax. For a full explanation of the version 2 syntax, check out the [schema.yml Files](/reference/configs-and-properties) section of the documentation. diff --git a/website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-12-0.md b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-12-0.md similarity index 76% rename from website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-12-0.md rename to website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-12-0.md index 60900d3c1a4..b3d4e9d9bcb 100644 --- a/website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-12-0.md +++ b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-12-0.md @@ -1,8 +1,13 @@ --- title: "Upgrading to 0.12.0" id: "upgrading-to-0-12-0" +displayed_sidebar: "docs" --- +import UpgradeMove from '/snippets/_upgrade-move.md'; + + + ## End of support Support for the `repositories:` block in `dbt_project.yml` (deprecated in 0.10.0) was removed. diff --git a/website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-13-0.md b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-13-0.md similarity index 94% rename from website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-13-0.md rename to website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-13-0.md index 14a70e177e8..bb15d1a73b0 100644 --- a/website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-13-0.md +++ b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-13-0.md @@ -1,8 +1,13 @@ --- title: "Upgrading to 0.13.0" id: "upgrading-to-0-13-0" +displayed_sidebar: "docs" --- +import UpgradeMove from '/snippets/_upgrade-move.md'; + + + ## Breaking changes ### on-run-start and on-run-end diff --git a/website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-14-0.md b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-14-0.md similarity index 99% rename from website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-14-0.md rename to website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-14-0.md index 3b9c8560230..036a9a2aedf 100644 --- a/website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-14-0.md +++ b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-14-0.md @@ -1,8 +1,13 @@ --- title: "Upgrading to 0.14.0" id: "upgrading-to-0-14-0" +displayed_sidebar: "docs" --- +import UpgradeMove from '/snippets/_upgrade-move.md'; + + + This guide outlines migration instructions for: 1. [Upgrading archives to snapshots](#upgrading-to-snapshot-blocks) diff --git a/website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-14-1.md b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-14-1.md similarity index 98% rename from website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-14-1.md rename to website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-14-1.md index a81740d5a68..215385acf0f 100644 --- a/website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-14-1.md +++ b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-14-1.md @@ -1,8 +1,13 @@ --- title: "Upgrading to 0.14.1" id: "upgrading-to-0-14-1" +displayed_sidebar: "docs" --- +import UpgradeMove from '/snippets/_upgrade-move.md'; + + + The dbt v0.14.1 release _does not_ contain any breaking code changes for users upgrading from v0.14.0. If you are upgrading from a version less than 0.14.0, consult the [Upgrading to 0.14.0](upgrading-to-0-14-0) migration guide. The following section contains important information for users of the `check` strategy on Snowflake and BigQuery. Action may be required in your database. ## Changes to the Snapshot "check" algorithm diff --git a/website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-15-0.md b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-15-0.md similarity index 93% rename from website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-15-0.md rename to website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-15-0.md index 02ab297c07a..6dd2b6fb9eb 100644 --- a/website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-15-0.md +++ b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-15-0.md @@ -1,10 +1,16 @@ --- title: "Upgrading to 0.15.0" id: "upgrading-to-0-15-0" +displayed_sidebar: "docs" --- +import UpgradeMove from '/snippets/_upgrade-move.md'; + + + The dbt v0.15.0 release contains a handful of breaking code changes for users upgrading from v0.14.0. + ## Breaking changes ### Stricter YML compilation diff --git a/website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-16-0.md b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-16-0.md similarity index 98% rename from website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-16-0.md rename to website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-16-0.md index a34f23c4c89..076e6fc4e88 100644 --- a/website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-16-0.md +++ b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-16-0.md @@ -1,8 +1,13 @@ --- title: "Upgrading to 0.16.0" id: "upgrading-to-0-16-0" +displayed_sidebar: "docs" --- +import UpgradeMove from '/snippets/_upgrade-move.md'; + + + dbt v0.16.0 contains many new features, bug fixes, and improvements. This guide covers all of the important information to consider when upgrading from an earlier version of dbt to 0.16.0. diff --git a/website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-17-0.md b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-17-0.md similarity index 98% rename from website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-17-0.md rename to website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-17-0.md index 1f891ebc0f4..5b863777df9 100644 --- a/website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-17-0.md +++ b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-17-0.md @@ -1,9 +1,14 @@ --- title: "Upgrading to 0.17.0" id: "upgrading-to-0-17-0" +displayed_sidebar: "docs" --- +import UpgradeMove from '/snippets/_upgrade-move.md'; + + + dbt v0.17.0 makes compilation more consistent, improves performance, and fixes a number of bugs. ## Articles: diff --git a/website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-18-0.md b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-18-0.md similarity index 97% rename from website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-18-0.md rename to website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-18-0.md index 8092ad807b8..545bfd41ac6 100644 --- a/website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-18-0.md +++ b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-18-0.md @@ -1,8 +1,13 @@ --- title: "Upgrading to 0.18.0" +displayed_sidebar: "docs" --- +import UpgradeMove from '/snippets/_upgrade-move.md'; + + + ### Resources - [Changelog](https://github.com/dbt-labs/dbt-core/blob/dev/marian-anderson/CHANGELOG.md) diff --git a/website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-19-0.md b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-19-0.md similarity index 96% rename from website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-19-0.md rename to website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-19-0.md index 0dd428780e0..db825d8af9c 100644 --- a/website/docs/guides/migration/versions/11-Older versions/upgrading-to-0-19-0.md +++ b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-19-0.md @@ -1,8 +1,13 @@ --- title: "Upgrading to 0.19.0" +displayed_sidebar: "docs" --- +import UpgradeMove from '/snippets/_upgrade-move.md'; + + + ### Resources - [Discourse](https://discourse.getdbt.com/t/1951) @@ -23,7 +28,7 @@ See the docs below for more details. We don't expect these to require action in #### Deprecations -Removed support for `config-version: 1` of dbt_project.yml, which was deprecated in v0.17.0. Use `config-version: 2` in all projects and installed packages. Otherwise, dbt will raise an error. See docs on [config-version](/reference/project-configs/config-version) and the [v0.17.0 Migration Guide](/guides/migration/versions) for details. +Removed support for `config-version: 1` of dbt_project.yml, which was deprecated in v0.17.0. Use `config-version: 2` in all projects and installed packages. Otherwise, dbt will raise an error. See docs on [config-version](/reference/project-configs/config-version) and the [v0.17.0 Migration Guide](/docs/dbt-versions/core-upgrade) for details. ### For dbt plugin maintainers diff --git a/website/docs/docs/dbt-versions/release-notes/03-Oct-2023/api-v2v3-limit.md b/website/docs/docs/dbt-versions/release-notes/03-Oct-2023/api-v2v3-limit.md new file mode 100644 index 00000000000..9768886d5fb --- /dev/null +++ b/website/docs/docs/dbt-versions/release-notes/03-Oct-2023/api-v2v3-limit.md @@ -0,0 +1,15 @@ +--- +title: "API results limited to `100`" +id: apiv3-limit" +description: "Oct 2023: In order to enhance the efficiency and stability of our services, we will limit all API results to `100` records. This limit is applicable to multi-tenant instances only." +sidebar_label: "Update: API results limited to `100`" +sidebar_position: 04 +tags: [Oct-2023, API] +--- + + +Beginning December 1, 2023, the [Administrative API](/docs/dbt-cloud-apis/admin-cloud-api) v2 and v3 will expect you to limit all "list" or `GET` API methods to 100 results per API request. This limit enhances the efficiency and stability of our services. If you need to handle more than 100 results, then use the `limit` and `offset` query parameters to paginate those results; otherwise, you will receive an error. + +This maximum limit applies to [multi-tenant instances](/docs/cloud/about-cloud/regions-ip-addresses) only, and _does not_ apply to single tenant instances. + +Refer to the [API v3 Pagination](https://docs.getdbt.com/dbt-cloud/api-v3#/) or [API v2 Pagination](https://docs.getdbt.com/dbt-cloud/api-v2#/) sections for more information on how to paginate your API responses. diff --git a/website/docs/docs/dbt-versions/release-notes/03-Oct-2023/sl-ga.md b/website/docs/docs/dbt-versions/release-notes/03-Oct-2023/sl-ga.md index 5e53363f62a..8ba71e9d825 100644 --- a/website/docs/docs/dbt-versions/release-notes/03-Oct-2023/sl-ga.md +++ b/website/docs/docs/dbt-versions/release-notes/03-Oct-2023/sl-ga.md @@ -20,10 +20,8 @@ It aims to bring the best of modeling and semantics to downstream applications b - dbt Cloud [multi-tenant regional](/docs/cloud/about-cloud/regions-ip-addresses) support for North America, EMEA, and APAC. Single-tenant support coming soon. - Use the APIs to call an export (a way to build tables in your data platform), then access them in your preferred BI tool. Starting from dbt v1.7 or higher, you will be able to schedule exports as part of your dbt job. - + The dbt Semantic Layer is available to [dbt Cloud Team or Enterprise](https://www.getdbt.com/) multi-tenant plans on dbt v1.6 or higher. -- Team and Enterprise customers can use 1,000 Queried Units per month for no additional cost on a limited trial basis, subject to reasonable use limitations. Refer to [Billing](/docs/cloud/billing#what-counts-as-a-query-unit) for more information. +- Team and Enterprise customers can use 1,000 Queried Metrics per month for no additional cost on a limited trial basis, subject to reasonable use limitations. Refer to [Billing](/docs/cloud/billing#what-counts-as-a-queried-metric) for more information. - dbt Cloud Developer plans and dbt Core users can define metrics but won't be able to query them with integrated tools. - - diff --git a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/product-docs-summer-rn.md b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/product-docs-summer-rn.md index a647bb5f585..d8148542eef 100644 --- a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/product-docs-summer-rn.md +++ b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/product-docs-summer-rn.md @@ -35,7 +35,7 @@ You can provide feedback by opening a pull request or issue in [our repo](https: * Added a section to introduce a new beta feature [**Extended Attributes**](/docs/dbt-cloud-environments#extended-attributes-beta), which allows users to set a flexible `profiles.yml` snippet in their dbt Cloud Environment settings. ## 🎯 Core projects -* We released [dbt 1.6](/guides/migration/versions/upgrading-to-v1.6)! We added docs for the new commands `dbt retry` and `dbt clone` +* We released [dbt 1.6](/docs/dbt-versions/core-upgrade/upgrading-to-v1.6)! We added docs for the new commands `dbt retry` and `dbt clone` ## New 📚 Guides, ✏️ blog posts, and FAQs * Check out how these community members use the dbt community in the [Community spotlight](/community/spotlight). diff --git a/website/docs/docs/dbt-versions/release-notes/09-April-2023/product-docs.md b/website/docs/docs/dbt-versions/release-notes/09-April-2023/product-docs.md index d30bcf85b99..d78040ea7e4 100644 --- a/website/docs/docs/dbt-versions/release-notes/09-April-2023/product-docs.md +++ b/website/docs/docs/dbt-versions/release-notes/09-April-2023/product-docs.md @@ -26,7 +26,7 @@ Hello from the dbt Docs team: @mirnawong1, @matthewshaver, @nghi-ly, and @runleo ## 🎯 Core projects - Clearer descriptions in the [Jinja functions page](/reference/dbt-jinja-functions), that improve content for each card.  -- [1.5 Docs](/guides/migration/versions/upgrading-to-v1.5) have been released as an RC! +- [1.5 Docs](/docs/dbt-versions/core-upgrade/upgrading-to-v1.5) have been released as an RC! - See the beautiful [work captured in Core v 1.5](https://github.com/dbt-labs/docs.getdbt.com/issues?q=is%3Aissue+label%3A%22dbt-core+v1.5%22+is%3Aclosed). ## New 📚 Guides and ✏️ blog posts diff --git a/website/docs/docs/dbt-versions/release-notes/10-Mar-2023/1.0-deprecation.md b/website/docs/docs/dbt-versions/release-notes/10-Mar-2023/1.0-deprecation.md index b11bf702330..6b6f646e40e 100644 --- a/website/docs/docs/dbt-versions/release-notes/10-Mar-2023/1.0-deprecation.md +++ b/website/docs/docs/dbt-versions/release-notes/10-Mar-2023/1.0-deprecation.md @@ -17,5 +17,5 @@ Refer to some additional info and resources to help you upgrade your dbt version - [How to upgrade dbt without fear](https://docs.getdbt.com/blog/upgrade-dbt-without-fear) - [Upgrade Q&A on breaking changes](/docs/dbt-versions/upgrade-core-in-cloud#upgrading-legacy-versions-under-10) -- [Version migration guides](/guides/migration/versions) +- [Version migration guides](/docs/dbt-versions/core-upgrade) diff --git a/website/docs/docs/dbt-versions/release-notes/35-dbt-cloud-changelog-2019-2020.md b/website/docs/docs/dbt-versions/release-notes/35-dbt-cloud-changelog-2019-2020.md index b8e15b993de..a6b68cf9d51 100644 --- a/website/docs/docs/dbt-versions/release-notes/35-dbt-cloud-changelog-2019-2020.md +++ b/website/docs/docs/dbt-versions/release-notes/35-dbt-cloud-changelog-2019-2020.md @@ -197,7 +197,7 @@ initial support for a GitLab integration and self-service RBAC configuration. ## dbt Cloud v1.1.7 [September 3, 2020] This release adds a Release Candidate for [dbt -v0.18.0](/guides/migration/versions) and +v0.18.0](/docs/dbt-versions/core-upgrade) and includes bugfixes and improvements to the Cloud IDE and job scheduler. diff --git a/website/docs/docs/dbt-versions/upgrade-core-in-cloud.md b/website/docs/docs/dbt-versions/upgrade-core-in-cloud.md index d143aab5ef1..e46294029ec 100644 --- a/website/docs/docs/dbt-versions/upgrade-core-in-cloud.md +++ b/website/docs/docs/dbt-versions/upgrade-core-in-cloud.md @@ -47,7 +47,7 @@ For more on version support and future releases, see [Understanding dbt Core ver #### Need help upgrading? -If you want more advice on how to upgrade your dbt projects, check out our [migration guides](/guides/migration/versions/) and our [upgrading Q&A page](/docs/dbt-versions/upgrade-core-in-cloud#upgrading-legacy-versions-under-10). +If you want more advice on how to upgrade your dbt projects, check out our [migration guides](/docs/dbt-versions/core-upgrade/) and our [upgrading Q&A page](/docs/dbt-versions/upgrade-core-in-cloud#upgrading-legacy-versions-under-10). ## Upgrading legacy versions under 1.0 @@ -96,7 +96,7 @@ clean-targets: - Do you have custom scripts that parse dbt artifacts? - (BigQuery only) Do you use dbt's legacy capabilities around ingestion-time-partitioned tables? -If you believe your project might be affected, read more details in the migration guide [here](/guides/migration/versions/upgrading-to-v1.0). +If you believe your project might be affected, read more details in the migration guide [here](/docs/dbt-versions/core-upgrade/upgrading-to-v1.0).
@@ -109,7 +109,7 @@ If you believe your project might be affected, read more details in the migratio - Do you have custom scripts that parse dbt JSON artifacts? - (Snowflake only) Do you have custom macros or materializations that depend on using transactions, such as statement blocks with `auto_begin=True`? -If you believe your project might be affected, read more details in the migration guide [here](/guides/migration/versions). +If you believe your project might be affected, read more details in the migration guide [here](/docs/dbt-versions/core-upgrade). @@ -123,7 +123,7 @@ If you believe your project might be affected, read more details in the migratio - Does your project use `adapter.dispatch` or the `spark_utils` package? - Do you have custom scripts that parse dbt JSON artifacts? -If you believe your project might be affected, read more details in the migration guide [here](/guides/migration/versions). +If you believe your project might be affected, read more details in the migration guide [here](/docs/dbt-versions/core-upgrade). @@ -146,7 +146,7 @@ See **Upgrading to v0.17.latest from v0.16** below for more details. - Do you have custom scripts that parse dbt JSON artifacts? - Do you have any custom materializations? -If you believe your project might be affected, read more details in the migration guide [here](/guides/migration/versions). +If you believe your project might be affected, read more details in the migration guide [here](/docs/dbt-versions/core-upgrade). @@ -157,7 +157,7 @@ If you believe your project might be affected, read more details in the migratio - Do you directly call `adapter_macro`? -If you believe your project might be affected, read more details in the migration guide [here](/guides/migration/versions). +If you believe your project might be affected, read more details in the migration guide [here](/docs/dbt-versions/core-upgrade). @@ -235,7 +235,7 @@ models: ``` -If you believe your project might be affected, read more details in the migration guide [here](/guides/migration/versions). +If you believe your project might be affected, read more details in the migration guide [here](/docs/dbt-versions/core-upgrade). @@ -247,7 +247,7 @@ If you believe your project might be affected, read more details in the migratio - Do you use the custom `generate_schema_name` macro? - Do you use `partition_by` config for BigQuery models? -If you believe your project might be affected, read more details in the migration guide [here](/guides/migration/versions). +If you believe your project might be affected, read more details in the migration guide [here](/docs/dbt-versions/core-upgrade). @@ -259,7 +259,7 @@ If you believe your project might be affected, read more details in the migratio - Do you have a custom materialization? - Do you have a macro that accesses `Relations` directly? -If you believe your project might be affected, read more details in the migration guide [here](/guides/migration/versions). +If you believe your project might be affected, read more details in the migration guide [here](/docs/dbt-versions/core-upgrade).
@@ -270,7 +270,7 @@ If you believe your project might be affected, read more details in the migratio - Do you use the custom `generate_schema_name` macro? - Do you use the `—non-destructive` flag? -If you believe your project might be affected, read more details in the migration guide [here](/guides/migration/versions). +If you believe your project might be affected, read more details in the migration guide [here](/docs/dbt-versions/core-upgrade).
diff --git a/website/docs/docs/deploy/deployment-tools.md b/website/docs/docs/deploy/deployment-tools.md index 6fba9caf6e8..baa9d6c4a01 100644 --- a/website/docs/docs/deploy/deployment-tools.md +++ b/website/docs/docs/deploy/deployment-tools.md @@ -108,11 +108,11 @@ If your organization is using [Prefect](https://www.prefect.io/), the way you wi ## Dagster -If your organization is using [Dagster](https://dagster.io/), you can use the [dagster_dbt](https://docs.dagster.io/_apidocs/libraries/dagster-dbt) library to integrate dbt commands into your pipelines. This library supports the execution of dbt through dbt Cloud, dbt CLI and the dbt RPC server. Running dbt from Dagster automatically aggregates metadata about your dbt runs. Refer to the [example pipeline](https://dagster.io/blog/dagster-dbt) for details. +If your organization is using [Dagster](https://dagster.io/), you can use the [dagster_dbt](https://docs.dagster.io/_apidocs/libraries/dagster-dbt) library to integrate dbt commands into your pipelines. This library supports the execution of dbt through dbt Cloud, dbt Core, and the dbt RPC server. Running dbt from Dagster automatically aggregates metadata about your dbt runs. Refer to the [example pipeline](https://dagster.io/blog/dagster-dbt) for details. ## Kestra -If your organization uses [Kestra](http://kestra.io/), you can leverage the [dbt plugin](https://kestra.io/plugins/plugin-dbt) to orchestrate dbt Cloud and dbt Core jobs. Kestra's user interface (UI) has built-in [Blueprints](https://kestra.io/docs/user-interface-guide/blueprints), providing ready-to-use workflows. Navigate to the Blueprints page in the left navigation menu and [select the dbt tag](https://demo.kestra.io/ui/blueprints/community?selectedTag=36) to find several examples of scheduling dbt CLI commands and dbt Cloud jobs as part of your data pipelines. After each scheduled or ad-hoc workflow execution, the Outputs tab in the Kestra UI allows you to download and preview all dbt build artifacts. The Gantt and Topology view additionally render the metadata to visualize dependencies and runtimes of your dbt models and tests. The dbt Cloud task provides convenient links to easily navigate between Kestra and dbt Cloud UI. +If your organization uses [Kestra](http://kestra.io/), you can leverage the [dbt plugin](https://kestra.io/plugins/plugin-dbt) to orchestrate dbt Cloud and dbt Core jobs. Kestra's user interface (UI) has built-in [Blueprints](https://kestra.io/docs/user-interface-guide/blueprints), providing ready-to-use workflows. Navigate to the Blueprints page in the left navigation menu and [select the dbt tag](https://demo.kestra.io/ui/blueprints/community?selectedTag=36) to find several examples of scheduling dbt Core commands and dbt Cloud jobs as part of your data pipelines. After each scheduled or ad-hoc workflow execution, the Outputs tab in the Kestra UI allows you to download and preview all dbt build artifacts. The Gantt and Topology view additionally render the metadata to visualize dependencies and runtimes of your dbt models and tests. The dbt Cloud task provides convenient links to easily navigate between Kestra and dbt Cloud UI. ## Automation servers diff --git a/website/docs/docs/deploy/job-notifications.md b/website/docs/docs/deploy/job-notifications.md index 8d242abac78..548e34fc2f3 100644 --- a/website/docs/docs/deploy/job-notifications.md +++ b/website/docs/docs/deploy/job-notifications.md @@ -1,33 +1,83 @@ --- title: "Job notifications" id: "job-notifications" -description: "Set up notifications in dbt Cloud to receive Email or Slack alerts for job run status." +description: "Set up notifications in dbt Cloud to receive email or Slack alerts about job run status." --- +Set up notifications in dbt Cloud to receive email or Slack alerts when a job run succeeds, fails, or is cancelled. -Setting up notifications in dbt Cloud will allow you to receive alerts via Email or a chosen Slack channel when a job run succeeds, fails, or is cancelled. +## Email notifications -### Email +You can receive email alerts about jobs by configuring the dbt Cloud email notification settings. -These are the following options for setting up email notifications. Refer to [Users and licenses](/docs/cloud/manage-access/seats-and-users) for info on license types eligible for email notifications. +### Prerequisites +- You must be either a _developer user_ or an _account admin_ to configure email notifications in dbt Cloud. For more details, refer to [Users and licenses](/docs/cloud/manage-access/seats-and-users). + - As a developer user, you can set up email notifications for yourself. + - As an account admin, you can set up notifications for yourself and other team members. -- As a **user** — You can set up email notifications for yourself under your Profile. -- As an **admin** — You can set up notifications on behalf of your team members. +### Configure email notifications -To set up job notifications, follow these steps: +1. From the gear menu, choose **Notification settings**. +1. By default, dbt Cloud sends notifications to the email address that's in your **User profile** page. -1. Click the gear menu in the top right corner and select **Notification Settings**. + If you're an account admin, you can choose a different email address to receive notifications. Select the **Notification email** dropdown and choose another address from the list. The list includes **Internal Users** with access to the account and **External Emails** that have been added. + - To add an external email address, select the **Notification email** dropdown and choose **Add external email**. After you add the external email, it becomes available for selection in the **Notification email** dropdown list. External emails can be addresses that are outside of your dbt Cloud account and also for third-party integrations like [channels in Microsoft Teams](https://support.microsoft.com/en-us/office/tip-send-email-to-a-channel-2c17dbae-acdf-4209-a761-b463bdaaa4ca) and [PagerDuty email integration](https://support.pagerduty.com/docs/email-integration-guide). -2. Select **Edit** to begin editing the **Email Notifications** settings. - - **As a user:** Choose the Notification type (Succeeds, Fails, or Is Cancelled) for each Job you want to receive notifications for. + - - **As an admin:** Under **Configure notifications for**, use the dropdown to select one or more users you'd like to set notifications for. If you only see your own name, then you might not have admin privileges.

- Choose the Notification type (Succeeds, Fails, or Is Cancelled) for each Job you want them to receive notifications for. +1. Select the **Environment** for the jobs you want to receive notifications about from the dropdown. -3. Click **Save**. +1. Click **Edit** to configure the email notification settings. Choose one or more of the run statuses (**Succeeds**, **Fails**, **Is Canceled**) for each job you want to receive notifications about. - +1. When you're done with the settings, click **Save**. -### Slack + As an account admin, you can add more email recipients by choosing another **Notification email** from the dropdown, **Edit** the job notification settings, and **Save** the changes. + + To set up alerts on jobs from a different environment, select another **Environment** from the dropdown, **Edit** those job notification settings, and **Save** the changes. - + + +### Unsubscribe from email notifications +1. From the gear menu, choose **Notification settings**. +1. On the **Email notifications** page, click **Unsubscribe from all email notifications**. + +## Slack notifications + +You can receive Slack alerts about jobs by setting up the Slack integration, then configuring the dbt Cloud Slack notification settings. + +:::note +Any account admin can edit the Slack notifications but they'll be limited to configuring the channels that their Slack user has access to. If there has been a change in user roles or Slack permissions where you no longer have access to edit a configured Slack channel, please [contact support](mailto:support@getdbt.com) for assistance. +::: + +### Prerequisites +- You must be an administrator of the Slack workspace. +- You must be an account admin to configure Slack notifications in dbt Cloud. For more details, refer to [Users and licenses](/docs/cloud/manage-access/seats-and-users). + +### Set up the Slack integration + +1. From the gear menu, select **Profile settings**. On your **User profile** page, scroll to the **Linked accounts** section. +1. In the **Linked accounts** section, find the Slack application and click **Link**. + +1. Allow dbt Labs to access the Slack workspace. If you are a member of multiple workspaces, you can select the appropriate workspace from the dropdown menu in the upper right corner. + + +### Configure Slack notifications + +1. From the gear menu, choose **Notification settings**. +1. Select **Slack notifications** in the left sidebar. +1. Select the **Notification channel** you want to receive the job run notifications from the dropdown. + +1. Select the **Environment** for the jobs you want to receive notifications about from the dropdown. +1. Click **Edit** to configure the Slack notification settings. Choose one or more of the run statuses (**Succeeds**, **Fails**, **Is Canceled**) for each job you want to receive notifications about. +1. When you're done with the settings, click **Save**. + + To send alerts to another Slack channel, select another **Notification channel** from the dropdown, **Edit** those job notification settings, and **Save** the changes. + + To set up alerts on jobs from a different environment, select another **Environment** from the dropdown, **Edit** those job notification settings, and **Save** the changes. + + + +### Disable the Slack integration + +1. From the gear menu, select **Profile settings**. On your **User profile** page, scroll to the **Linked accounts** section. +1. Find the Slack application in the **Linked accounts** section, click the trash can icon, and click **Unlink**. Channels that you configured will no longer receive Slack notifications. Channels that are configured by other account admins will continue to receive Slack notifications if they still have active Slack integrations. To migrate ownership of a Slack channel notification configuration, have another account admin edit the configuration. \ No newline at end of file diff --git a/website/docs/docs/deploy/jobs.md b/website/docs/docs/deploy/jobs.md index 92390907cd0..e8871b48427 100644 --- a/website/docs/docs/deploy/jobs.md +++ b/website/docs/docs/deploy/jobs.md @@ -10,7 +10,7 @@ In dbt Cloud, there are two types of jobs: - [Deploy jobs](/docs/deploy/deploy-jobs) — To create and set up triggers for building production data assets - [Continuous integration (CI) jobs](/docs/deploy/continuous-integration) — To create and set up triggers for checking code changes -Below is a comparison table that describes how deploy jobs and CI jobs behave differently: +Below is a comparison table that describes how deploy jobs and CI jobs behave: | | Deploy Jobs | CI Jobs | | --- | --- | --- | @@ -19,4 +19,5 @@ Below is a comparison table that describes how deploy jobs and CI jobs behave di | Destination | Builds into a production database and schema. | Builds into a staging database and ephemeral schema, lived for the lifetime of the PR. | | Execution mode | Runs execute sequentially, so as to not have collisions on the underlying DAG. | Runs execute in parallel to promote team velocity. | | Efficiency run savings | Detects over-scheduled jobs and cancels unnecessary runs to avoid queue clog. | Cancels existing runs when a newer commit is pushed to avoid redundant work. | -| State comparison | Only sometimes needs to detect state. | Almost always needs to compare state against the production environment to build on modified code and its dependents. | \ No newline at end of file +| State comparison | Only sometimes needs to detect state. | Almost always needs to compare state against the production environment to build on modified code and its dependents. | +| Job run duration | Limit is 24 hours. | Limit is 24 hours. | \ No newline at end of file diff --git a/website/docs/docs/use-dbt-semantic-layer/quickstart-sl.md b/website/docs/docs/use-dbt-semantic-layer/quickstart-sl.md index cca899d227e..42f08a90401 100644 --- a/website/docs/docs/use-dbt-semantic-layer/quickstart-sl.md +++ b/website/docs/docs/use-dbt-semantic-layer/quickstart-sl.md @@ -99,16 +99,16 @@ If you're encountering some issues when defining your metrics or setting up the User data passes through the Semantic Layer on its way back from the warehouse. dbt Labs ensures security by authenticating through the customer's data warehouse. Currently, we don't cache data for the long term, but it might temporarily stay in the system for up to 10 minutes, usually less. In the future, we'll introduce a caching feature that allows us to cache data on our infrastructure for up to 24 hours.
-Is the dbt Semantic Layer open source? -The dbt Semantic Layer is proprietary, however, some components of the dbt Semantic Layer are open source, like dbt-core and MetricFlow.

dbt Cloud Developer or dbt Core users can define metrics in their project, including a local dbt Core project, using the dbt Cloud IDE or the MetricFlow CLI. However, to experience the universal dbt Semantic Layer and access those metrics using the API or downstream tools, users will must be on a dbt Cloud Team or Enterprise plan.
-

+ Is the dbt Semantic Layer open source? + The dbt Semantic Layer is proprietary; however, some components of the dbt Semantic Layer are open source, such as dbt-core and MetricFlow.

dbt Cloud Developer or dbt Core users can define metrics in their project, including a local dbt Core project, using the dbt Cloud IDE, dbt Cloud CLI, or dbt Core CLI. However, to experience the universal dbt Semantic Layer and access those metrics using the API or downstream tools, users must be on a dbt Cloud Team or Enterprise plan.

Refer to Billing for more information. + -## Next steps -- [Build your metrics](/docs/build/build-metrics-intro) +## Next steps - [Set up dbt Semantic Layer](docs/use-dbt-semantic-layer/setup-dbt-sl) - [Available integrations](/docs/use-dbt-semantic-layer/avail-sl-integrations) - Demo on [how to define and query metrics with MetricFlow](https://www.loom.com/share/60a76f6034b0441788d73638808e92ac?sid=861a94ac-25eb-4fd8-a310-58e159950f5a) +- [Billing](/docs/cloud/billing) diff --git a/website/docs/docs/use-dbt-semantic-layer/sl-architecture.md b/website/docs/docs/use-dbt-semantic-layer/sl-architecture.md index dc75016eb91..9e8737c68d3 100644 --- a/website/docs/docs/use-dbt-semantic-layer/sl-architecture.md +++ b/website/docs/docs/use-dbt-semantic-layer/sl-architecture.md @@ -19,12 +19,12 @@ The dbt Semantic Layer allows you to define metrics and use various interfaces t The dbt Semantic Layer includes the following components: -| Components | Information | Developer plans | Team plans | Enterprise plans | License | +| Components | Information | dbt Core users | Developer plans | Team plans | Enterprise plans | License | | --- | --- | :---: | :---: | :---: | --- | -| **[MetricFlow](/docs/build/about-metricflow)** | MetricFlow in dbt allows users to centrally define their semantic models and metrics with YAML specifications. | ✅ | ✅ | ✅ | BSL package (code is source available) | -| **MetricFlow Server**| A proprietary server that takes metric requests and generates optimized SQL for the specific data platform. | ❌ | ✅ | ✅ | Proprietary, Cloud (Team & Enterprise)| -| **Semantic Layer Gateway** | A service that passes queries to MetricFlow server and executes the SQL generated by MetricFlow against the data platform|

❌| ✅ | ✅ | Proprietary, Cloud (Team & Enterprise) | -| **Semantic Layer APIs** | The interfaces that allow users to submit metric queries using the GraphQL and JDBC APIs. They also serve as the foundation for building first-class integrations with various tools. | ❌ | ✅ | ✅ | Proprietary, Cloud (Team & Enterprise)| +| **[MetricFlow](/docs/build/about-metricflow)** | MetricFlow in dbt allows users to centrally define their semantic models and metrics with YAML specifications. | ✅ | ✅ | ✅ | ✅ | BSL package (code is source available) | +| **MetricFlow Server**| A proprietary server that takes metric requests and generates optimized SQL for the specific data platform. | ❌ | ❌ | ✅ | ✅ | Proprietary, Cloud (Team & Enterprise)| +| **Semantic Layer Gateway** | A service that passes queries to the MetricFlow server and executes the SQL generated by MetricFlow against the data platform|

❌ | ❌ |✅ | ✅ | Proprietary, Cloud (Team & Enterprise) | +| **Semantic Layer APIs** | The interfaces allow users to submit metric queries using GraphQL and JDBC APIs. They also serve as the foundation for building first-class integrations with various tools. | ❌ | ❌ | ✅ | ✅ | Proprietary, Cloud (Team & Enterprise)| ## Related questions @@ -41,8 +41,9 @@ The dbt Semantic Layer includes the following components: User data passes through the Semantic Layer on its way back from the warehouse. dbt Labs ensures security by authenticating through the customer's data warehouse. Currently, we don't cache data for the long term, but it might temporarily stay in the system for up to 10 minutes, usually less. In the future, we'll introduce a caching feature that allows us to cache data on our infrastructure for up to 24 hours.
-Is the dbt Semantic Layer open source? -The dbt Semantic Layer is proprietary, however, some components of the dbt Semantic Layer are open source, like dbt-core and MetricFlow.

The universal dbt Semantic Layer is available to all Team and Enterprise Plans during public beta. Users on dbt Cloud Developer plans or dbt Core users can use MetricFlow to only define and test metrics locally.
+ Is the dbt Semantic Layer open source? +The dbt Semantic Layer is proprietary; however, some components of the dbt Semantic Layer are open source, such as dbt-core and MetricFlow.

dbt Cloud Developer or dbt Core users can define metrics in their project, including a local dbt Core project, using the dbt Cloud IDE, dbt Cloud CLI, or dbt Core CLI. However, to experience the universal dbt Semantic Layer and access those metrics using the API or downstream tools, users must be on a dbt Cloud Team or Enterprise plan.

Refer to Billing for more information. +
Is there a dbt Semantic Layer discussion hub?
diff --git a/website/docs/docs/use-dbt-semantic-layer/tableau.md b/website/docs/docs/use-dbt-semantic-layer/tableau.md index 9bc32ec3622..c93643354aa 100644 --- a/website/docs/docs/use-dbt-semantic-layer/tableau.md +++ b/website/docs/docs/use-dbt-semantic-layer/tableau.md @@ -16,7 +16,8 @@ This integration provides a live connection to the dbt Semantic Layer through Ta ## Prerequisites -1. You must have [Tableau Desktop](https://www.tableau.com/en-gb/products/desktop) installed +1. You must have [Tableau Desktop](https://www.tableau.com/en-gb/products/desktop) installed with version 2021.1 or greater + - Note that Tableau Online does not currently support custom connectors natively. 2. Log in to Tableau Desktop using either your license or the login details you use for Tableau Server or Tableau Online. 3. You need your dbt Cloud host, [Environment ID](/docs/use-dbt-semantic-layer/setup-sl#set-up-dbt-semantic-layer) and [service token](/docs/dbt-cloud-apis/service-tokens) to log in. This account should be set up with the dbt Semantic Layer. 4. You must have a dbt Cloud Team or Enterprise [account](https://www.getdbt.com/pricing) and multi-tenant [deployment](/docs/cloud/about-cloud/regions-ip-addresses). (Single-Tenant coming soon) @@ -24,7 +25,7 @@ This integration provides a live connection to the dbt Semantic Layer through Ta ## Installing -1. Download our [connector file](https://github.com/dbt-labs/semantic-layer-tableau-connector/releases/download/v1.0.0/dbt_semantic_layer.taco) locally and add it to your default folder: +1. Download the GitHub [connector file](https://github.com/dbt-labs/semantic-layer-tableau-connector/releases/download/v1.0.2/dbt_semantic_layer.taco) locally and add it to your default folder: - Windows: `C:\Users\\[Windows User]\Documents\My Tableau Repository\Connectors` - Mac: `/Users/[user]/Documents/My Tableau Repository/Connectors` - Linux: `/opt/tableau/connectors` @@ -53,6 +54,7 @@ Visit the [Tableau documentation](https://help.tableau.com/current/pro/desktop/e - Since this is treated as a table, dbt Semantic Layer can't dynamically change what is available. This means we display _all_ available metrics and dimensions even if a particular metric and dimension combination isn't available. - Certain Table calculations like "Totals" and "Percent Of" may not be accurate when using metrics aggregated in a non-additive way (such as count distinct) +- In any of our Semantic Layer interfaces (not only Tableau), you must include a [time dimension](/docs/build/cumulative#limitations) when working with any cumulative metric that has a time window or granularity. ## Unsupported functionality @@ -67,3 +69,4 @@ The following Tableau features aren't supported at this time, however, the dbt S - All functions in Analysis --> Create Calculated Field - Filtering on a Date Part time dimension for a Cumulative metric type - Changing your date dimension to use "Week Number" + diff --git a/website/docs/faqs/Accounts/slack.md b/website/docs/faqs/Accounts/slack.md deleted file mode 100644 index 4faa60fb09a..00000000000 --- a/website/docs/faqs/Accounts/slack.md +++ /dev/null @@ -1,8 +0,0 @@ ---- -title: How do I set up Slack notifications? -description: "Instructions on how to set up slack notifications" -sidebar_label: 'How to set up Slack' -id: slack ---- - - diff --git a/website/docs/faqs/Project/docs-for-multiple-projects.md b/website/docs/faqs/Project/docs-for-multiple-projects.md deleted file mode 100644 index b7aa1452b39..00000000000 --- a/website/docs/faqs/Project/docs-for-multiple-projects.md +++ /dev/null @@ -1,11 +0,0 @@ ---- -title: Can I render docs for multiple projects? -description: "Using packages to render docs for multiple projects" -sidebar_label: 'Render docs for multiple projects' -id: docs-for-multiple-projects - ---- - -Yes! To do this, you'll need to create a "super project" that lists each project as a dependent [package](/docs/build/packages) in a `packages.yml` file. Then run `dbt deps` to install the projects as packages, prior to running `dbt docs generate`. - -If you are going down the route of multiple projects, be sure to check out our advice [1](https://discourse.getdbt.com/t/should-i-have-an-organisation-wide-project-a-monorepo-or-should-each-work-flow-have-their-own/666) [2](https://discourse.getdbt.com/t/how-to-configure-your-dbt-repository-one-or-many/2121) on the topic. diff --git a/website/docs/faqs/Project/which-schema.md b/website/docs/faqs/Project/which-schema.md index f0634ac8c85..2c21cba3c6a 100644 --- a/website/docs/faqs/Project/which-schema.md +++ b/website/docs/faqs/Project/which-schema.md @@ -7,7 +7,7 @@ id: which-schema --- By default, dbt builds models in your target schema. To change your target schema: * If you're developing in **dbt Cloud**, these are set for each user when you first use a development environment. -* If you're developing with the **dbt CLI**, this is the `schema:` parameter in your `profiles.yml` file. +* If you're developing with **dbt Core**, this is the `schema:` parameter in your `profiles.yml` file. If you wish to split your models across multiple schemas, check out the docs on [using custom schemas](/docs/build/custom-schemas). diff --git a/website/docs/faqs/Runs/checking-logs.md b/website/docs/faqs/Runs/checking-logs.md index dbfdb6806a1..ff5e6f5cf04 100644 --- a/website/docs/faqs/Runs/checking-logs.md +++ b/website/docs/faqs/Runs/checking-logs.md @@ -10,7 +10,7 @@ To check out the SQL that dbt is running, you can look in: * dbt Cloud: * Within the run output, click on a model name, and then select "Details" -* dbt CLI: +* dbt Core: * The `target/compiled/` directory for compiled `select` statements * The `target/run/` directory for compiled `create` statements * The `logs/dbt.log` file for verbose logging. diff --git a/website/docs/faqs/Runs/failed-tests.md b/website/docs/faqs/Runs/failed-tests.md index bfee565ef61..d19023d035d 100644 --- a/website/docs/faqs/Runs/failed-tests.md +++ b/website/docs/faqs/Runs/failed-tests.md @@ -10,7 +10,7 @@ To debug a failing test, find the SQL that dbt ran by: * dbt Cloud: * Within the test output, click on the failed test, and then select "Details" -* dbt CLI: +* dbt Core: * Open the file path returned as part of the error message. * Navigate to the `target/compiled/schema_tests` directory for all compiled test queries diff --git a/website/docs/faqs/Warehouse/database-privileges.md b/website/docs/faqs/Warehouse/database-privileges.md index 73e0549f130..3761b81fe67 100644 --- a/website/docs/faqs/Warehouse/database-privileges.md +++ b/website/docs/faqs/Warehouse/database-privileges.md @@ -12,8 +12,8 @@ schema¹ * read system views to generate documentation (i.e. views in `information_schema`) -On Postgres, Redshift, and Snowflake, use a series of `grants` to ensure that -your user has the correct privileges. +On Postgres, Redshift, Databricks, and Snowflake, use a series of `grants` to ensure that +your user has the correct privileges. Check out [example permissions](/reference/database-permissions/about-database-permissions) for these warehouses. On BigQuery, use the "BigQuery User" role to assign these privileges. diff --git a/website/docs/guides/advanced/using-jinja.md b/website/docs/guides/advanced/using-jinja.md index 40cfd2af298..1cbe88dc9ca 100644 --- a/website/docs/guides/advanced/using-jinja.md +++ b/website/docs/guides/advanced/using-jinja.md @@ -9,7 +9,7 @@ If you'd like to work through this query, add [this CSV](https://github.com/dbt- While working through the steps of this model, we recommend that you have your compiled SQL open as well, to check what your Jinja compiles to. To do this: * **Using dbt Cloud:** Click the compile button to see the compiled SQL in the right hand pane -* **Using the dbt CLI:** Run `dbt compile` from the command line. Then open the compiled SQL file in the `target/compiled/{project name}/` directory. Use a split screen in your code editor to keep both files open at once. +* **Using dbt Core:** Run `dbt compile` from the command line. Then open the compiled SQL file in the `target/compiled/{project name}/` directory. Use a split screen in your code editor to keep both files open at once. ## Write the SQL without Jinja Consider a data model in which an `order` can have many `payments`. Each `payment` may have a `payment_method` of `bank_transfer`, `credit_card` or `gift_card`, and therefore each `order` can have multiple `payment_methods` diff --git a/website/docs/guides/best-practices/debugging-errors.md b/website/docs/guides/best-practices/debugging-errors.md index 39670820ddd..fe600ec4f67 100644 --- a/website/docs/guides/best-practices/debugging-errors.md +++ b/website/docs/guides/best-practices/debugging-errors.md @@ -17,7 +17,7 @@ Learning how to debug is a skill, and one that will make you great at your role! - The `target/run` directory contains the SQL dbt executes to build your models. - The `logs/dbt.log` file contains all the queries that dbt runs, and additional logging. Recent errors will be at the bottom of the file. - **dbt Cloud users**: Use the above, or the `Details` tab in the command output. - - **dbt CLI users**: Note that your code editor _may_ be hiding these files from the tree [VSCode help](https://stackoverflow.com/questions/42891463/how-can-i-show-ignored-files-in-visual-studio-code)). + - **dbt Core users**: Note that your code editor _may_ be hiding these files from the tree [VSCode help](https://stackoverflow.com/questions/42891463/how-can-i-show-ignored-files-in-visual-studio-code)). 5. If you are really stuck, try [asking for help](/community/resources/getting-help). Before doing so, take the time to write your question well so that others can diagnose the problem quickly. @@ -184,7 +184,7 @@ hello: world # this is not allowed ## Compilation Errors -_Note: if you're using the dbt Cloud IDE to work on your dbt project, this error often shows as a red bar in your command prompt as you work on your dbt project. For dbt CLI users, these won't get picked up until you run `dbt run` or `dbt compile`._ +_Note: if you're using the dbt Cloud IDE to work on your dbt project, this error often shows as a red bar in your command prompt as you work on your dbt project. For dbt Core users, these won't get picked up until you run `dbt run` or `dbt compile`._ ### Invalid `ref` function @@ -228,7 +228,7 @@ To fix this: - Use the error message to find your mistake To prevent this: -- _(dbt CLI users only)_ Use snippets to auto-complete pieces of Jinja ([atom-dbt package](https://github.com/dbt-labs/atom-dbt), [vscode-dbt extestion](https://marketplace.visualstudio.com/items?itemName=bastienboutonnet.vscode-dbt)) +- _(dbt Core users only)_ Use snippets to auto-complete pieces of Jinja ([atom-dbt package](https://github.com/dbt-labs/atom-dbt), [vscode-dbt extestion](https://marketplace.visualstudio.com/items?itemName=bastienboutonnet.vscode-dbt))
@@ -280,7 +280,7 @@ To fix this: - Find the mistake and fix it To prevent this: -- (dbt CLI users) Turn on indentation guides in your code editor to help you inspect your files +- (dbt Core users) Turn on indentation guides in your code editor to help you inspect your files - Use a YAML validator ([example](http://www.yamllint.com/)) to debug any issues @@ -341,10 +341,10 @@ Database Error in model customers (models/customers.sql) 90% of the time, there's a mistake in the SQL of your model. To fix this: 1. Open the offending file: - **dbt Cloud:** Open the model (in this case `models/customers.sql` as per the error message) - - **dbt CLI:** Open the model as above. Also open the compiled SQL (in this case `target/run/jaffle_shop/models/customers.sql` as per the error message) — it can be useful to show these side-by-side in your code editor. + - **dbt Core:** Open the model as above. Also open the compiled SQL (in this case `target/run/jaffle_shop/models/customers.sql` as per the error message) — it can be useful to show these side-by-side in your code editor. 2. Try to re-execute the SQL to isolate the error: - **dbt Cloud:** Use the `Preview` button from the model file - - **dbt CLI:** Copy and paste the compiled query into a query runner (e.g. the Snowflake UI, or a desktop app like DataGrip / TablePlus) and execute it + - **dbt Core:** Copy and paste the compiled query into a query runner (e.g. the Snowflake UI, or a desktop app like DataGrip / TablePlus) and execute it 3. Fix the mistake. 4. Rerun the failed model. @@ -356,7 +356,7 @@ In some cases, these errors might occur as a result of queries that dbt runs "be In these cases, you should check out the logs — this contains _all_ the queries dbt has run. - **dbt Cloud**: Use the `Details` in the command output to see logs, or check the `logs/dbt.log` file -- **dbt CLI**: Open the `logs/dbt.log` file. +- **dbt Core**: Open the `logs/dbt.log` file. :::tip Isolating errors in the logs If you're hitting a strange `Database Error`, it can be a good idea to clean out your logs by opening the file, and deleting the contents. Then, re-execute `dbt run` for _just_ the problematic model. The logs will _just_ have the output you're looking for. @@ -379,6 +379,6 @@ Using the `Preview` button is useful when developing models and you want to visu We’ve all been there. dbt uses the last-saved version of a file when you execute a command. In most code editors, and in the dbt Cloud IDE, a dot next to a filename indicates that a file has unsaved changes. Make sure you hit `cmd + s` (or equivalent) before running any dbt commands — over time it becomes muscle memory. ### Editing compiled files -_(More likely for dbt CLI users)_ +_(More likely for dbt Core users)_ If you just opened a SQL file in the `target/` directory to help debug an issue, it's not uncommon to accidentally edit that file! To avoid this, try changing your code editor settings to grey out any files in the `target/` directory — the visual cue will help avoid the issue. diff --git a/website/docs/guides/best-practices/how-we-mesh/mesh-2-structures.md b/website/docs/guides/best-practices/how-we-mesh/mesh-2-structures.md index 937515954af..9ab633c50ad 100644 --- a/website/docs/guides/best-practices/how-we-mesh/mesh-2-structures.md +++ b/website/docs/guides/best-practices/how-we-mesh/mesh-2-structures.md @@ -18,6 +18,10 @@ At a high level, you’ll need to decide: - Where to draw the lines between your dbt Projects -- i.e. how do you determine where to split your DAG and which models go in which project? - How to manage your code -- do you want multiple dbt Projects living in the same repository (mono-repo) or do you want to have multiple repos with one repo per project? +### Cycle detection + +Like resource dependencies, project dependencies are acyclic, meaning they only move in one direction. This prevents `ref` cycles (or loops), which lead to issues with your data workflows. For example, if project B depends on project A, a new model in project A could not import and use a public model from project B. Refer to [Project dependencies](/docs/collaborate/govern/project-dependencies#how-to-use-ref) for more information. + ## Define your project interfaces by splitting your DAG The first (and perhaps most difficult!) decision when migrating to a multi-project architecture is deciding where to draw the line in your DAG to define the interfaces between your projects. Let's explore some language for discussing the design of these patterns. diff --git a/website/docs/guides/best-practices/how-we-mesh/mesh-3-implementation.md b/website/docs/guides/best-practices/how-we-mesh/mesh-3-implementation.md index cfbbc7a1f28..65ed5d7935b 100644 --- a/website/docs/guides/best-practices/how-we-mesh/mesh-3-implementation.md +++ b/website/docs/guides/best-practices/how-we-mesh/mesh-3-implementation.md @@ -26,7 +26,7 @@ Once you have a sense of some initial groupings, you can first implement **group groups: - name: marketing owner: - - name: Ben Jaffleck + name: Ben Jaffleck email: ben.jaffleck@jaffleshop.com ``` diff --git a/website/docs/guides/best-practices/materializations/materializations-guide-4-incremental-models.md b/website/docs/guides/best-practices/materializations/materializations-guide-4-incremental-models.md index 603cbc8cda1..cd4264bafd3 100644 --- a/website/docs/guides/best-practices/materializations/materializations-guide-4-incremental-models.md +++ b/website/docs/guides/best-practices/materializations/materializations-guide-4-incremental-models.md @@ -29,7 +29,7 @@ We did our last `dbt build` job on `2022-01-31`, so any new orders since that ru - 🏔️ build the table from the **beginning of time again — a _table materialization_** - Simple and solid, if we can afford to do it (in terms of time, compute, and money — which are all directly correlated in a cloud warehouse). It’s the easiest and most accurate option. - 🤏 find a way to run **just new and updated rows since our previous run — _an_ _incremental materialization_** - - If we _can’t_ realistically afford to run the whole table — due to complex transformations or big source data, it takes too long — then we want to build incrementally. We want to just transform and add the row with id 567 below, _not_ the previous two with ids 123 and 456 that are already in the table. + - If we _can’t_ realistically afford to run the whole table — due to complex transformations or big source data, it takes too long — then we want to build incrementally. We want to just transform and add the row with id 567 below, _not_ the previous two with ids 123 and 234 that are already in the table. | order_id | order_status | customer_id | order_item_id | ordered_at | updated_at | | -------- | ------------ | ----------- | ------------- | ---------- | ---------- | diff --git a/website/docs/guides/best-practices/materializations/materializations-guide-6-examining-builds.md b/website/docs/guides/best-practices/materializations/materializations-guide-6-examining-builds.md index 07811b42594..909618ef8a5 100644 --- a/website/docs/guides/best-practices/materializations/materializations-guide-6-examining-builds.md +++ b/website/docs/guides/best-practices/materializations/materializations-guide-6-examining-builds.md @@ -12,7 +12,7 @@ hoverSnippet: Read this guide to understand how to examine your builds in dbt. - ⌚ dbt keeps track of how **long each model took to build**, when it started, when it finished, its completion status (error, warn, or success), its materialization type, and _much_ more. - 🖼️ This information is stored in a couple files which dbt calls **artifacts**. - 📊 Artifacts contain a ton of information in JSON format, so aren’t easy to read, but **dbt Cloud** packages the most useful bits of information into a tidy **visualization** for you. -- ☁️ If you’re not using Cloud, we can still use the output of the **dbt CLI to understand our runs**. +- ☁️ If you’re not using Cloud, we can still use the output of the **dbt Core CLI to understand our runs**. ### Model Timing @@ -23,9 +23,9 @@ That’s where dbt Cloud’s Model Timing visualization comes in extremely handy - 🧵 This view lets us see our **mapped out in threads** (up to 64 threads, we’re currently running with 4, so we get 4 tracks) over time. You can think of **each thread as a lane on a highway**. - ⌛ We can see above that `customer_status_histories` is **taking by far the most time**, so we may want to go ahead and **make that incremental**. -If you aren’t using dbt Cloud, that’s okay! We don’t get a fancy visualization out of the box, but we can use the output from the dbt CLI to check our model times, and it’s a great opportunity to become familiar with that output. +If you aren’t using dbt Cloud, that’s okay! We don’t get a fancy visualization out of the box, but we can use the output from the dbt Core CLI to check our model times, and it’s a great opportunity to become familiar with that output. -### dbt CLI output +### dbt Core CLI output If you’ve ever run dbt, whether `build`, `test`, `run` or something else, you’ve seen some output like below. Let’s take a closer look at how to read this. diff --git a/website/docs/guides/dbt-ecosystem/dbt-python-snowpark/6-foundational-structure.md b/website/docs/guides/dbt-ecosystem/dbt-python-snowpark/6-foundational-structure.md index e387b208dd1..8a938e10c34 100644 --- a/website/docs/guides/dbt-ecosystem/dbt-python-snowpark/6-foundational-structure.md +++ b/website/docs/guides/dbt-ecosystem/dbt-python-snowpark/6-foundational-structure.md @@ -71,7 +71,7 @@ In this step, we’ll need to create a development branch and set up project lev - `materialized` — Tells dbt how to materialize models when compiling the code before it pushes it down to Snowflake. All models in the `marts` folder will be built as tables. - `tags` — Applies tags at a directory level to all models. All models in the `aggregates` folder will be tagged as `bi` (abbreviation for business intelligence). - `docs` — Specifies the `node_color` either by the plain color name or a hex value. -5. [Materializations](/docs/build/materializations) are strategies for persisting dbt models in a warehouse, with `tables` and `views` being the most commonly utilized types. By default, all dbt models are materialized as views and other materialization types can be configured in the `dbt_project.yml` file or in a model itself. It’s very important to note *Python models can only be materialized as tables or incremental models.* Since all our Python models exist under `marts`, the following portion of our `dbt_project.yml` ensures no errors will occur when we run our Python models. Starting with [dbt version 1.4](/guides/migration/versions/upgrading-to-v1.4#updates-to-python-models), Python files will automatically get materialized as tables even if not explicitly specified. +5. [Materializations](/docs/build/materializations) are strategies for persisting dbt models in a warehouse, with `tables` and `views` being the most commonly utilized types. By default, all dbt models are materialized as views and other materialization types can be configured in the `dbt_project.yml` file or in a model itself. It’s very important to note *Python models can only be materialized as tables or incremental models.* Since all our Python models exist under `marts`, the following portion of our `dbt_project.yml` ensures no errors will occur when we run our Python models. Starting with [dbt version 1.4](/docs/dbt-versions/core-upgrade/upgrading-to-v1.4#updates-to-python-models), Python files will automatically get materialized as tables even if not explicitly specified. ```yaml marts:     diff --git a/website/docs/guides/migration/tools/migrating-from-spark-to-databricks.md b/website/docs/guides/migration/tools/migrating-from-spark-to-databricks.md index f5549c58416..cd0577c2d96 100644 --- a/website/docs/guides/migration/tools/migrating-from-spark-to-databricks.md +++ b/website/docs/guides/migration/tools/migrating-from-spark-to-databricks.md @@ -35,7 +35,7 @@ In both dbt Core and dbt Cloud, you can migrate your projects to the Databricks- ### Prerequisites -- Your project must be compatible with dbt 1.0 or greater. Refer to [Upgrading to v1.0](/guides/migration/versions/upgrading-to-v1.0) for details. For the latest version of dbt, refer to [Upgrading to v1.3](/guides/migration/versions/upgrading-to-v1.3). +- Your project must be compatible with dbt 1.0 or greater. Refer to [Upgrading to v1.0](/docs/dbt-versions/core-upgrade/upgrading-to-v1.0) for details. For the latest version of dbt, refer to [Upgrading to v1.3](/docs/dbt-versions/core-upgrade/upgrading-to-v1.3). - For dbt Cloud, you need administrative (admin) privileges to migrate dbt projects. diff --git a/website/docs/guides/orchestration/webhooks/zapier-ms-teams.md b/website/docs/guides/orchestration/webhooks/zapier-ms-teams.md index bb3f03ef0c0..148e16b2469 100644 --- a/website/docs/guides/orchestration/webhooks/zapier-ms-teams.md +++ b/website/docs/guides/orchestration/webhooks/zapier-ms-teams.md @@ -5,7 +5,7 @@ slug: zapier-ms-teams description: Use Zapier and the dbt Cloud API to post to Microsoft Teams --- -This guide will show you how to set up an integration between dbt Cloud jobs and Microsoft Teams using [dbt Cloud Webhooks](/docs/deploy/webhooks) and Zapier, similar to the [native Slack integration](/faqs/accounts/slack). +This guide will show you how to set up an integration between dbt Cloud jobs and Microsoft Teams using [dbt Cloud Webhooks](/docs/deploy/webhooks) and Zapier, similar to the [native Slack integration](/docs/deploy/job-notifications#slack-notifications). When a dbt Cloud job finishes running, the integration will: diff --git a/website/docs/guides/orchestration/webhooks/zapier-slack.md b/website/docs/guides/orchestration/webhooks/zapier-slack.md index c9046ee9943..6ce89eadd12 100644 --- a/website/docs/guides/orchestration/webhooks/zapier-slack.md +++ b/website/docs/guides/orchestration/webhooks/zapier-slack.md @@ -5,7 +5,7 @@ slug: zapier-slack description: Use Zapier and the dbt Cloud API to post error context to Slack --- -This guide will show you how to set up an integration between dbt Cloud jobs and Slack using [dbt Cloud webhooks](/docs/deploy/webhooks) and Zapier. It builds on the native [native Slack integration](/faqs/accounts/slack) by attaching error message details of models and tests in a thread. +This guide will show you how to set up an integration between dbt Cloud jobs and Slack using [dbt Cloud webhooks](/docs/deploy/webhooks) and Zapier. It builds on the native [native Slack integration](/docs/deploy/job-notifications#slack-notifications) by attaching error message details of models and tests in a thread. Note: Because there is not a webhook for Run Cancelled, you may want to keep the standard Slack integration installed to receive those notifications. You could also use the [alternative integration](#alternate-approach) that augments the native integration without replacing it. diff --git a/website/docs/quickstarts/manual-install-qs.md b/website/docs/quickstarts/manual-install-qs.md index 2444cf29d7e..fc43d38115b 100644 --- a/website/docs/quickstarts/manual-install-qs.md +++ b/website/docs/quickstarts/manual-install-qs.md @@ -196,7 +196,7 @@ $ git checkout -b add-customers-model 4. From the command line, enter `dbt run`.
- +
When you return to the BigQuery console, you can `select` from this model. diff --git a/website/docs/reference/artifacts/other-artifacts.md b/website/docs/reference/artifacts/other-artifacts.md index d776bc8a099..205bdfc1a14 100644 --- a/website/docs/reference/artifacts/other-artifacts.md +++ b/website/docs/reference/artifacts/other-artifacts.md @@ -39,4 +39,8 @@ This file is useful for investigating performance issues in dbt Core's graph alg It is more anonymized and compact than [`manifest.json`](/reference/artifacts/manifest-json) and [`graph.gpickle`](#graph.gpickle). -It contains only the `name` and `type` of each node along with IDs of its child nodes (`succ`). It includes that information at two separate points in time: immediately after the graph is linked together (`linked`), and after test edges have been added (`with_test_edges`). +It includes that information at two separate points in time: +1. `linked` — immediately after the graph is linked together, and +2. `with_test_edges` — after test edges have been added. + +Each of those points in time contains the `name` and `type` of each node and `succ` contains the keys of its child nodes. diff --git a/website/docs/reference/commands/clone.md b/website/docs/reference/commands/clone.md index ea3e570447d..6bdc2c02e07 100644 --- a/website/docs/reference/commands/clone.md +++ b/website/docs/reference/commands/clone.md @@ -16,6 +16,7 @@ The `clone` command is useful for: - handling incremental models in dbt Cloud CI jobs (on data warehouses that support zero-copy cloning tables) - testing code changes on downstream dependencies in your BI tool + ```bash # clone all of my models from specified state to my target schema(s) dbt clone --state path/to/artifacts @@ -37,3 +38,19 @@ Unlike deferral, `dbt clone` requires some compute and creation of additional ob For example, by creating actual data warehouse objects, `dbt clone` allows you to test out your code changes on downstream dependencies _outside of dbt_ (such as a BI tool). As another example, you could `clone` your modified incremental models as the first step of your dbt Cloud CI job to prevent costly `full-refresh` builds for warehouses that support zero-copy cloning. + +## Cloning in dbt Cloud + +You can clone nodes between states in dbt Cloud using the `dbt clone` command. This is available in the [dbt Cloud IDE](/docs/cloud/dbt-cloud-ide/develop-in-the-cloud) and the [dbt Cloud CLI](/docs/cloud/cloud-cli-installation) and relies on the [`--defer`](/reference/node-selection/defer) feature. For more details on defer in dbt Cloud, read [Using defer in dbt Cloud](/docs/cloud/about-cloud-develop-defer). + +- **Using dbt Cloud CLI** — The `dbt clone` command in the dbt Cloud CLI automatically includes the `--defer` flag. This means you can use the `dbt clone` command without any additional setup. + +- **Using dbt Cloud IDE** — To use the `dbt clone` command in the dbt Cloud IDE, follow these steps before running the `dbt clone` command: + + - Set up your **Production environment** and have a successful job run. + - Enable **Defer to production** by toggling the switch in the lower-right corner of the command bar. + + - Run the `dbt clone` command from the command bar. + + +Check out [this Developer blog post](https://docs.getdbt.com/blog/to-defer-or-to-clone) for more details on best practices when to use `dbt clone` vs. deferral. diff --git a/website/docs/reference/database-permissions/about-database-permissions.md b/website/docs/reference/database-permissions/about-database-permissions.md new file mode 100644 index 00000000000..76fff517646 --- /dev/null +++ b/website/docs/reference/database-permissions/about-database-permissions.md @@ -0,0 +1,36 @@ +--- +title: "Database permissions" +id: about-database-permissions +description: "Database permissions are access rights and privileges granted to users or roles within a database management system." +sidebar_label: "About database permissions" +pagination_next: "reference/database-permissions/databricks-permissions" +pagination_prev: null +--- + +Database permissions are access rights and privileges granted to users or roles within a database or data platform. They help you specify what actions users or roles can perform on various database objects, like tables, views, schemas, or even the entire database. + + +### Why are they useful + +- Database permissions are essential for security and data access control. +- They ensure that only authorized users can perform specific actions. +- They help maintain data integrity, prevent unauthorized changes, and limit exposure to sensitive data. +- Permissions also support compliance with data privacy regulations and auditing. + +### How to use them + +- Users and administrators can grant and manage permissions at various levels (such as table, schema, and so on) using SQL statements or through the database system's interface. +- Assign permissions to individual users or roles (groups of users) based on their responsibilities. + - Typical permissions include "SELECT" (read), "INSERT" (add data), "UPDATE" (modify data), "DELETE" (remove data), and administrative rights like "CREATE" and "DROP." +- Users should be assigned permissions that ensure they have the necessary access to perform their tasks without overextending privileges. + +Something to note is that each data platform provider might have different approaches and names for privileges. Refer to their documentation for more details. + +### Examples + +Refer to the following database permission pages for more info on examples and how to set up database permissions: + +- [Databricks](/reference/database-permissions/databricks-permissions) +- [Postgres](/reference/database-permissions/postgres-permissions) +- [Redshift](/reference/database-permissions/redshift-permissions) +- [Snowflake](/reference/database-permissions/snowflake-permissions) diff --git a/website/docs/reference/database-permissions/databricks-permissions.md b/website/docs/reference/database-permissions/databricks-permissions.md new file mode 100644 index 00000000000..12e24652ae3 --- /dev/null +++ b/website/docs/reference/database-permissions/databricks-permissions.md @@ -0,0 +1,20 @@ +--- +title: "Databricks permissions" +--- + +In Databricks, permissions are used to control who can perform certain actions on different database objects. Use SQL statements to manage permissions in a Databricks database. + +## Example Databricks permissions + +The following example provides you with the SQL statements you can use to manage permissions. + +**Note** that you can grant permissions on `securable_objects` to `principals` (This can be user, service principal, or group). For example, `grant privilege_type` on `securable_object` to `principal`. + +``` + +grant all privileges on schema schema_name to principal; +grant create table on schema schema_name to principal; +grant create view on schema schema_name to principal; +``` + +Check out the [official documentation](https://docs.databricks.com/en/data-governance/unity-catalog/manage-privileges/privileges.html#privilege-types-by-securable-object-in-unity-catalog) for more information. diff --git a/website/docs/reference/database-permissions/postgres-permissions.md b/website/docs/reference/database-permissions/postgres-permissions.md new file mode 100644 index 00000000000..da56e9b45f2 --- /dev/null +++ b/website/docs/reference/database-permissions/postgres-permissions.md @@ -0,0 +1,25 @@ +--- +title: "Postgres Permissions" +--- + + +In Postgres, permissions are used to control who can perform certain actions on different database objects. Use SQL statements to manage permissions in a Postgres database. + +## Example Postgres permissions + +The following example provides you with the SQL statements you can use to manage permissions. These examples allow you to run dbt smoothly without encountering permission issues, such as creating schemas, reading existing data, and accessing the information schema. + +**Note** that `database_name`, `database.schema_name`, and `user_name` are placeholders and you can replace them as needed for your organization's naming convention. + +``` +grant usage on database database_name to user_name; +grant create schema on database database_name to user_name; +grant usage on schema database.schema_name to user_name; +grant create table on schema database.schema_name to user_name; +grant create view on schema database.schema_name to user_name; +grant usage on all schemas in database database_name to user_name; +grant select on all tables in database database_name to user_name; +grant select on all views in database database_name to user_name; +``` + +Check out the [official documentation](https://www.postgresql.org/docs/current/sql-grant.html) for more information. diff --git a/website/docs/reference/database-permissions/redshift-permissions.md b/website/docs/reference/database-permissions/redshift-permissions.md new file mode 100644 index 00000000000..5f0949a3528 --- /dev/null +++ b/website/docs/reference/database-permissions/redshift-permissions.md @@ -0,0 +1,25 @@ +--- +title: "Redshift permissions" +--- + +In Redshift, permissions are used to control who can perform certain actions on different database objects. Use SQL statements to manage permissions in a Redshift database. + +## Example Redshift permissions + +The following example provides you with the SQL statements you can use to manage permissions. + +**Note** that `database_name`, `database.schema_name`, and `user_name` are placeholders and you can replace them as needed for your organization's naming convention. + + +``` +grant usage on database database_name to user_name; +grant create schema on database database_name to user_name; +grant usage on schema database.schema_name to user_name; +grant create table on schema database.schema_name to user_name; +grant create view on schema database.schema_name to user_name; +grant usage on all schemas in database database_name to user_name; +grant select on all tables in database database_name to user_name; +grant select on all views in database database_name to user_name; +``` + +Check out the [official documentation](https://docs.aws.amazon.com/redshift/latest/dg/r_GRANT.html) for more information. diff --git a/website/docs/reference/database-permissions/snowflake-permissions.md b/website/docs/reference/database-permissions/snowflake-permissions.md new file mode 100644 index 00000000000..3f474242834 --- /dev/null +++ b/website/docs/reference/database-permissions/snowflake-permissions.md @@ -0,0 +1,154 @@ +--- +title: "Snowflake permissions" +--- + +In Snowflake, permissions are used to control who can perform certain actions on different database objects. Use SQL statements to manage permissions in a Snowflake database. + +## Set up Snowflake account + +This section explains how to set up permissions and roles within Snowflake. In Snowflake, you would perform these actions using SQL commands and set up your data warehouse and access control within Snowflake's ecosystem. + +1. Set up databases +``` +use role sysadmin; +create database raw; +create database analytics; +``` +2. Set up warehouses +``` +create warehouse loading + warehouse_size = xsmall + auto_suspend = 3600 + auto_resume = false + initially_suspended = true; + +create warehouse transforming + warehouse_size = xsmall + auto_suspend = 60 + auto_resume = true + initially_suspended = true; + +create warehouse reporting + warehouse_size = xsmall + auto_suspend = 60 + auto_resume = true + initially_suspended = true; +``` + +3. Set up roles and warehouse permissions +``` +use role securityadmin; + +create role loader; +grant all on warehouse loading to role loader; + +create role transformer; +grant all on warehouse transforming to role transformer; + +create role reporter; +grant all on warehouse reporting to role reporter; +``` + +4. Create users, assigning them to their roles + +Every person and application gets a separate user and is assigned to the correct role. + +``` +create user stitch_user -- or fivetran_user + password = '_generate_this_' + default_warehouse = loading + default_role = loader; + +create user claire -- or amy, jeremy, etc. + password = '_generate_this_' + default_warehouse = transforming + default_role = transformer + must_change_password = true; + +create user dbt_cloud_user + password = '_generate_this_' + default_warehouse = transforming + default_role = transformer; + +create user looker_user -- or mode_user etc. + password = '_generate_this_' + default_warehouse = reporting + default_role = reporter; + +-- then grant these roles to each user +grant role loader to user stitch_user; -- or fivetran_user +grant role transformer to user dbt_cloud_user; +grant role transformer to user claire; -- or amy, jeremy +grant role reporter to user looker_user; -- or mode_user, periscope_user +``` + +5. Let loader load data +Give the role unilateral permission to operate on the raw database +``` +use role sysadmin; +grant all on database raw to role loader; +``` + +6. Let transformer transform data +The transformer role needs to be able to read raw data. + +If you do this before you have any data loaded, you can run: +``` +grant usage on database raw to role transformer; +grant usage on future schemas in database raw to role transformer; +grant select on future tables in database raw to role transformer; +grant select on future views in database raw to role transformer; +``` +If you already have data loaded in the raw database, make sure also you run the following to update the permissions +``` +grant usage on all schemas in database raw to role transformer; +grant select on all tables in database raw to role transformer; +grant select on all views in database raw to role transformer; +``` +transformer also needs to be able to create in the analytics database: +``` +grant all on database analytics to role transformer; +``` +7. Let reporter read the transformed data +A previous version of this article recommended this be implemented through hooks in dbt, but this way lets you get away with a one-off statement. +``` +grant usage on database analytics to role reporter; +grant usage on future schemas in database analytics to role reporter; +grant select on future tables in database analytics to role reporter; +grant select on future views in database analytics to role reporter; +``` +Again, if you already have data in your analytics database, make sure you run: +``` +grant usage on all schemas in database analytics to role reporter; +grant select on all tables in database analytics to role transformer; +grant select on all views in database analytics to role transformer; +``` +8. Maintain +When new users are added, make sure you add them to the right role! Everything else should be inherited automatically thanks to those `future` grants. + +For more discussion and legacy information, refer to [this Discourse article](https://discourse.getdbt.com/t/setting-up-snowflake-the-exact-grant-statements-we-run/439). + +## Example Snowflake permissions + +The following example provides you with the SQL statements you can use to manage permissions. + +**Note** that `warehouse_name`, `database_name`, and `role_name` are placeholders and you can replace them as needed for your organization's naming convention. + +``` + +grant all on warehouse warehouse_name to role role_name; +grant usage on database database_name to role role_name; +grant create schema on database database_name to role role_name; +grant usage on schema database.an_existing_schema to role role_name; +grant create table on schema database.an_existing_schema to role role_name; +grant create view on schema database.an_existing_schema to role role_name; +grant usage on future schemas in database database_name to role role_name; +grant monitor on future schemas in database database_name to role role_name; +grant select on future tables in database database_name to role role_name; +grant select on future views in database database_name to role role_name; +grant usage on all schemas in database database_name to role role_name; +grant monitor on all schemas in database database_name to role role_name; +grant select on all tables in database database_name to role role_name; +grant select on all views in database database_name to role role_name; +``` + diff --git a/website/docs/reference/dbt-commands.md b/website/docs/reference/dbt-commands.md index 1448d9849d3..d5f0bfcd2ad 100644 --- a/website/docs/reference/dbt-commands.md +++ b/website/docs/reference/dbt-commands.md @@ -11,7 +11,7 @@ The following sections outline the commands supported by dbt and their relevant ### Available commands - + All commands in the table are compatible with either the dbt Cloud IDE, dbt Cloud CLI, or dbt Core. @@ -22,12 +22,13 @@ You can run dbt commands in your specific tool by prefixing them with `dbt`. Fo | [build](/reference/commands/build) | Build and test all selected resources (models, seeds, snapshots, tests) | All | All [supported versions](/docs/dbt-versions/core) | | cancel | Cancels the most recent invocation.| dbt Cloud CLI | Requires [dbt v1.6 or higher](/docs/dbt-versions/core) | | [clean](/reference/commands/clean) | Deletes artifacts present in the dbt project | All | All [supported versions](/docs/dbt-versions/core) | -| [clone](/reference/commands/clone) | Clone selected models from the specified state | dbt Cloud CLI
dbt Core | Requires [dbt v1.6 or higher](/docs/dbt-versions/core) | +| [clone](/reference/commands/clone) | Clone selected models from the specified state | All | Requires [dbt v1.6 or higher](/docs/dbt-versions/core) | | [compile](/reference/commands/compile) | Compiles (but does not run) the models in a project | All | All [supported versions](/docs/dbt-versions/core) | -| [debug](/reference/commands/debug) | Debugs dbt connections and projects | dbt Core | All [supported versions](/docs/dbt-versions/core) | +| [debug](/reference/commands/debug) | Debugs dbt connections and projects | dbt Cloud IDE
dbt Core | All [supported versions](/docs/dbt-versions/core) | | [deps](/reference/commands/deps) | Downloads dependencies for a project | All | All [supported versions](/docs/dbt-versions/core) | | [docs](/reference/commands/cmd-docs) | Generates documentation for a project | All | All [supported versions](/docs/dbt-versions/core) | | help | Displays help information for any command | dbt Core
dbt Cloud CLI | All [supported versions](/docs/dbt-versions/core) | +| [init](/reference/commands/init) | Initializes a new dbt project | dbt Core | All [supported versions](/docs/dbt-versions/core) | | [list](/reference/commands/list) | Lists resources defined in a dbt project | All | All [supported versions](/docs/dbt-versions/core) | | [parse](/reference/commands/parse) | Parses a project and writes detailed timing info | All | All [supported versions](/docs/dbt-versions/core) | | reattach | Reattaches to the most recent invocation to retrieve logs and artifacts. | dbt Cloud CLI | Requires [dbt v1.6 or higher](/docs/dbt-versions/core) | @@ -39,11 +40,11 @@ You can run dbt commands in your specific tool by prefixing them with `dbt`. Fo | [snapshot](/reference/commands/snapshot) | Executes "snapshot" jobs defined in a project | All | All [supported versions](/docs/dbt-versions/core) | | [source](/reference/commands/source) | Provides tools for working with source data (including validating that sources are "fresh") | All | All [supported versions](/docs/dbt-versions/core) | | [test](/reference/commands/test) | Executes tests defined in a project | All | All [supported versions](/docs/dbt-versions/core) | -| [init](/reference/commands/init) | Initializes a new dbt project | dbt Core | All [supported versions](/docs/dbt-versions/core) | + - + Select the tabs that are relevant to your development workflow. For example, if you develop in the dbt Cloud IDE, select **dbt Cloud**. diff --git a/website/docs/reference/dbt-jinja-functions/target.md b/website/docs/reference/dbt-jinja-functions/target.md index 7d6627c5a4b..e7d08db592f 100644 --- a/website/docs/reference/dbt-jinja-functions/target.md +++ b/website/docs/reference/dbt-jinja-functions/target.md @@ -7,7 +7,7 @@ description: "Contains information about your connection to the warehouse." `target` contains information about your connection to the warehouse. -* **dbt CLI:** These values are based on the target defined in your [`profiles.yml` file](/docs/core/connect-data-platform/profiles.yml) +* **dbt Core:** These values are based on the target defined in your [`profiles.yml` file](/docs/core/connect-data-platform/profiles.yml) * **dbt Cloud Scheduler:** * `target.name` is defined per job as described [here](/docs/build/custom-target-names). * For all other attributes, the values are defined by the deployment connection. To check these values, click **Deploy** from the upper left and select **Environments**. Then, select the relevant deployment environment, and click **Settings**. diff --git a/website/docs/reference/dbt_project.yml.md b/website/docs/reference/dbt_project.yml.md index 571e930d7da..9bd85d0d5dd 100644 --- a/website/docs/reference/dbt_project.yml.md +++ b/website/docs/reference/dbt_project.yml.md @@ -11,7 +11,7 @@ By default, dbt will look for `dbt_project.yml` in your current working director By default, dbt will look for `dbt_project.yml` in your current working directory and its parents, but you can set a different directory using the `--project-dir` flag or the `DBT_PROJECT_DIR` environment variable. -Starting from dbt v1.5 and higher, you can specify your dbt Cloud project ID in the `dbt_project.yml` file using the `dbt-cloud` config, which doesn't require validation or storage in the project config class. To find your project ID, check your dbt Cloud project URL, such as `https://cloud.getdbt.com/11/projects/123456`, where the project ID is `123456`. +Starting from dbt v1.5 and higher, you can specify your dbt Cloud project ID in the `dbt_project.yml` file using `project-id` under the `dbt-cloud` config. To find your project ID, check your dbt Cloud project URL, such as `https://cloud.getdbt.com/11/projects/123456`, where the project ID is `123456`. @@ -54,8 +54,8 @@ dbt uses YAML in a few different places. If you're new to YAML, it would be wort [require-dbt-version](/reference/project-configs/require-dbt-version): version-range | [version-range] [dbt-cloud](/docs/cloud/cloud-cli-installation): - project-id: project_id #Required - defer-env-id: 5678 #Optional + [project-id](/docs/cloud/configure-cloud-cli#configure-the-dbt-cloud-cli): project_id # Required + [defer-env-id](/docs/cloud/about-cloud-develop-defer#defer-in-dbt-cloud-cli): environment_id # Optional [quoting](/reference/project-configs/quoting): database: true | false diff --git a/website/docs/reference/global-configs/about-global-configs.md b/website/docs/reference/global-configs/about-global-configs.md index 42819cdac8f..9d1691812b5 100644 --- a/website/docs/reference/global-configs/about-global-configs.md +++ b/website/docs/reference/global-configs/about-global-configs.md @@ -8,4 +8,11 @@ Global configs enable you to fine-tune _how_ dbt runs projects on your machine Global configs control things like the visual output of logs, the manner in which dbt parses your project, and what to do when dbt finds a version mismatch or a failing model. These configs are "global" because they are available for all dbt commands, and because they can be set for all projects running on the same machine or in the same environment. -Starting in v1.0, you can set global configs in three places. When all three are set, command line flags take precedence, then environment variables, and last yaml configs (usually `profiles.yml`). \ No newline at end of file +### Global config precedence + +Starting in v1.0, you can set global configs in three places. dbt will evaluate the configs in the following order: +1. [user config](https://docs.getdbt.com/reference/global-configs/yaml-configurations) +1. [environment variable](https://docs.getdbt.com/reference/global-configs/environment-variable-configs) +1. [CLI flag](https://docs.getdbt.com/reference/global-configs/command-line-flags) + +Each config is prioritized over the previous one. For example, if all three are provided, then the CLI flag takes precedence. diff --git a/website/docs/reference/programmatic-invocations.md b/website/docs/reference/programmatic-invocations.md index 6afcd65c1bc..dfd5bae09e6 100644 --- a/website/docs/reference/programmatic-invocations.md +++ b/website/docs/reference/programmatic-invocations.md @@ -2,7 +2,7 @@ title: "Programmatic invocations" --- -In v1.5, dbt-core added support for programmatic invocations. The intent is to expose the existing dbt CLI via a Python entry point, such that top-level commands are callable from within a Python script or application. +In v1.5, dbt-core added support for programmatic invocations. The intent is to expose the existing dbt Core CLI via a Python entry point, such that top-level commands are callable from within a Python script or application. The entry point is a `dbtRunner` class, which allows you to `invoke` the same commands as on the CLI. diff --git a/website/docs/reference/references-overview.md b/website/docs/reference/references-overview.md index 85a374c5aa3..91a228b6c3e 100644 --- a/website/docs/reference/references-overview.md +++ b/website/docs/reference/references-overview.md @@ -51,9 +51,27 @@ Learn how to add more configurations to your dbt project or adapter, use propert icon="computer"/> + + + + + + diff --git a/website/docs/reference/resource-configs/resource-path.md b/website/docs/reference/resource-configs/resource-path.md index 258b83dcd57..20406f26f2a 100644 --- a/website/docs/reference/resource-configs/resource-path.md +++ b/website/docs/reference/resource-configs/resource-path.md @@ -1,11 +1,28 @@ -The `` nomenclature is used in this documentation when documenting how to configure a model, seed, or snapshot, from your `dbt_project.yml` file. It represents the nested dictionary keys that provide the path to either a directory of models, or a single model. +--- +title: Resource path +description: "Learn how to use resource paths to configure resource types in dbt." +id: resource-path +sidebar_label: "About resource paths" +--- + +The `` nomenclature is used in this documentation when documenting how to configure resource types like models, seeds, snapshots, tests, sources, and others, from your `dbt_project.yml` file. + +It represents the nested dictionary keys that provide the path to a directory of that resource type, or a single instance of that resource type by name. + +```yml +resource_type: + project_name: + directory_name: + subdirectory_name: + instance_of_resource_type (by name): + ... +``` ## Example -:::info -This example is for models, but the same concepts apply for seeds and snapshots. +The following examples are mostly for models and a source, but the same concepts apply for seeds, snapshots, tests, sources, and other resource types. -::: +### Apply config to all models To apply a configuration to all models, do not use a ``: @@ -18,6 +35,8 @@ models: +### Apply config to all models in your project + To apply a configuration to all models in _your_ project only, use your [project name](/reference/project-configs/name) as the ``: @@ -32,6 +51,8 @@ models: +### Apply config to all models in a subdirectory + To apply a configuration to all models in a subdirectory of your project, e.g. `staging`, nest the directory under the project name: @@ -57,6 +78,8 @@ In the following project, this would apply to models in the `staging/` directory ``` +### Apply config to all models in one model + To apply a configuration to one model, nest the full path under the project name. For a model at `/staging/stripe/payments.sql`, this would look like: @@ -92,3 +115,19 @@ In the following project, this would only apply to the `payments` model:    └── payments.sql ``` +### Apply config to a source nested in a subfolder + +To disable a source table nested in a YAML file in a subfolder, you will need to supply the subfolder(s) within the path to that YAML file, as well as the source name and the table name in the `dbt_project.yml` file.

+ The following example shows how to disable a source table nested in a YAML file in a subfolder: + + + + ```yaml + sources: + your_project_name: + subdirectory_name: + source_name: + source_table_name: + +enabled: false + ``` + diff --git a/website/docs/reference/resource-configs/teradata-configs.md b/website/docs/reference/resource-configs/teradata-configs.md index f0f4f1a6f3e..12a8929429d 100644 --- a/website/docs/reference/resource-configs/teradata-configs.md +++ b/website/docs/reference/resource-configs/teradata-configs.md @@ -35,14 +35,21 @@ id: "teradata-configs" ### * `table_kind` - define the table kind. Legal values are `MULTISET` (default for ANSI transaction mode required by `dbt-teradata`) and `SET`, e.g.: - ```yaml - {{ - config( - materialized="table", - table_kind="SET" - ) - }} - ``` + * in sql materialization definition file: + ```yaml + {{ + config( + materialized="table", + table_kind="SET" + ) + }} + ``` + * in seed configuration: + ```yaml + seeds: + : + table_kind: "SET" + ``` For details, see [CREATE TABLE documentation](https://docs.teradata.com/r/76g1CuvvQlYBjb2WPIuk3g/B6Js16DRQVwPDjgJ8rz7hg). * `table_option` - defines table options. The config supports multiple statements. The definition below uses the Teradata syntax definition to explain what statements are allowed. Square brackets `[]` denote optional parameters. The pipe symbol `|` separates statements. Use commas to combine multiple statements as shown in the examples below: ``` @@ -87,37 +94,51 @@ id: "teradata-configs" ``` Examples: - - :::info Separators between statements - Note the commas that separate statements in `table_option` config. - ::: - - ```yaml - {{ - config( - materialized="table", - table_option="NO FALLBACK" - ) - }} - ``` - ```yaml - {{ - config( - materialized="table", - table_option="NO FALLBACK, NO JOURNAL" - ) - }} - ``` - ```yaml - {{ - config( - materialized="table", - table_option="NO FALLBACK, NO JOURNAL, CHECKSUM = ON, - NO MERGEBLOCKRATIO, - WITH CONCURRENT ISOLATED LOADING FOR ALL" - ) - }} - ``` + * in sql materialization definition file: + ```yaml + {{ + config( + materialized="table", + table_option="NO FALLBACK" + ) + }} + ``` + ```yaml + {{ + config( + materialized="table", + table_option="NO FALLBACK, NO JOURNAL" + ) + }} + ``` + ```yaml + {{ + config( + materialized="table", + table_option="NO FALLBACK, NO JOURNAL, CHECKSUM = ON, + NO MERGEBLOCKRATIO, + WITH CONCURRENT ISOLATED LOADING FOR ALL" + ) + }} + ``` + * in seed configuration: + ```yaml + seeds: + : + table_option:"NO FALLBACK" + ``` + ```yaml + seeds: + : + table_option:"NO FALLBACK, NO JOURNAL" + ``` + ```yaml + seeds: + : + table_option: "NO FALLBACK, NO JOURNAL, CHECKSUM = ON, + NO MERGEBLOCKRATIO, + WITH CONCURRENT ISOLATED LOADING FOR ALL" + ``` For details, see [CREATE TABLE documentation](https://docs.teradata.com/r/76g1CuvvQlYBjb2WPIuk3g/B6Js16DRQVwPDjgJ8rz7hg). @@ -160,46 +181,67 @@ id: "teradata-configs" ``` Examples: - - :::info Separators between statements - Note, unlike with `table_option` statements, there are no commas between statements in `index` config. - ::: - - ```yaml - {{ - config( - materialized="table", - index="UNIQUE PRIMARY INDEX ( GlobalID )" - ) - }} - ``` - - ```yaml - {{ - config( - materialized="table", - index="PRIMARY INDEX(id) - PARTITION BY RANGE_N(create_date - BETWEEN DATE '2020-01-01' - AND DATE '2021-01-01' - EACH INTERVAL '1' MONTH)" - ) - }} - ``` - - ```yaml - {{ - config( - materialized="table", - index="PRIMARY INDEX(id) - PARTITION BY RANGE_N(create_date - BETWEEN DATE '2020-01-01' - AND DATE '2021-01-01' - EACH INTERVAL '1' MONTH) - INDEX index_attrA (attrA) WITH LOAD IDENTITY" - ) - }} - ``` + * in sql materialization definition file: + ```yaml + {{ + config( + materialized="table", + index="UNIQUE PRIMARY INDEX ( GlobalID )" + ) + }} + ``` + > :information_source: Note, unlike in `table_option`, there are no commas between index statements! + ```yaml + {{ + config( + materialized="table", + index="PRIMARY INDEX(id) + PARTITION BY RANGE_N(create_date + BETWEEN DATE '2020-01-01' + AND DATE '2021-01-01' + EACH INTERVAL '1' MONTH)" + ) + }} + ``` + ```yaml + {{ + config( + materialized="table", + index="PRIMARY INDEX(id) + PARTITION BY RANGE_N(create_date + BETWEEN DATE '2020-01-01' + AND DATE '2021-01-01' + EACH INTERVAL '1' MONTH) + INDEX index_attrA (attrA) WITH LOAD IDENTITY" + ) + }} + ``` + * in seed configuration: + ```yaml + seeds: + : + index: "UNIQUE PRIMARY INDEX ( GlobalID )" + ``` + > :information_source: Note, unlike in `table_option`, there are no commas between index statements! + ```yaml + seeds: + : + index: "PRIMARY INDEX(id) + PARTITION BY RANGE_N(create_date + BETWEEN DATE '2020-01-01' + AND DATE '2021-01-01' + EACH INTERVAL '1' MONTH)" + ``` + ```yaml + seeds: + : + index: "PRIMARY INDEX(id) + PARTITION BY RANGE_N(create_date + BETWEEN DATE '2020-01-01' + AND DATE '2021-01-01' + EACH INTERVAL '1' MONTH) + INDEX index_attrA (attrA) WITH LOAD IDENTITY" + ``` ## Seeds :::info Using seeds to load raw data @@ -220,6 +262,35 @@ Loading CSVs using dbt's seed functionality is not performant for large files. C +use_fastload: true ``` +#### Grants + +Grants are supported in dbt-teradata adapter with release version 1.2.0 and above. You can use grants to manage access to the datasets you're producing with dbt. To implement these permissions, define grants as resource configs on each model, seed, or snapshot. Define the default grants that apply to the entire project in your `dbt_project.yml`, and define model-specific grants within each model's SQL or YAML file. + +for e.g. : + models/schema.yml + ```yaml + models: + - name: model_name + config: + grants: + select: ['user_a', 'user_b'] + ``` + +Another e.g. for adding multiple grants: + + ```yaml + models: + - name: model_name + config: + materialized: table + grants: + select: ["user_b"] + insert: ["user_c"] + ``` +> :information_source: `copy_grants` is not supported in Teradata. + +More on Grants can be found at https://docs.getdbt.com/reference/resource-configs/grants + ## Common Teradata-specific tasks * *collect statistics* - when a table is created or modified significantly, there might be a need to tell Teradata to collect statistics for the optimizer. It can be done using `COLLECT STATISTICS` command. You can perform this step using dbt's `post-hooks`, e.g.: diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md index 4e500ed64ea..9a5d513d99b 100644 --- a/website/docs/reference/resource-properties/constraints.md +++ b/website/docs/reference/resource-properties/constraints.md @@ -103,7 +103,7 @@ models: contract: enforced: true columns: - - name: customer_id + - name: id data_type: int constraints: - type: not_null diff --git a/website/docs/reference/snowflake-permissions.md b/website/docs/reference/snowflake-permissions.md deleted file mode 100644 index 6a469d12230..00000000000 --- a/website/docs/reference/snowflake-permissions.md +++ /dev/null @@ -1,25 +0,0 @@ ---- -title: "Snowflake Permissions" ---- - -## Example Snowflake permissions - -``` --- NOTE: warehouse_name, database_name, and role_name are placeholders! --- Replace as-needed for your organization's naming convention! - -grant all on warehouse warehouse_name to role role_name; -grant usage on database database_name to role role_name; -grant create schema on database database_name to role role_name; -grant usage on schema database.an_existing_schema to role role_name; -grant create table on schema database.an_existing_schema to role role_name; -grant create view on schema database.an_existing_schema to role role_name; -grant usage on future schemas in database database_name to role role_name; -grant monitor on future schemas in database database_name to role role_name; -grant select on future tables in database database_name to role role_name; -grant select on future views in database database_name to role role_name; -grant usage on all schemas in database database_name to role role_name; -grant monitor on all schemas in database database_name to role role_name; -grant select on all tables in database database_name to role role_name; -grant select on all views in database database_name to role role_name; -``` diff --git a/website/docs/reference/source-configs.md b/website/docs/reference/source-configs.md index 3f9a19e78ca..7e8a547489a 100644 --- a/website/docs/reference/source-configs.md +++ b/website/docs/reference/source-configs.md @@ -61,7 +61,24 @@ sources: ## Configuring sources -Sources can be configured via a `config:` block within their `.yml` definitions, or from the `dbt_project.yml` file under the `sources:` key. This configuration is most useful for configuring sources imported from [a package](/docs/build/packages). You can disable sources imported from a package to prevent them from rendering in the documentation, or to prevent [source freshness checks](/docs/build/sources#snapshotting-source-data-freshness) from running on source tables imported from packages. +Sources can be configured via a `config:` block within their `.yml` definitions, or from the `dbt_project.yml` file under the `sources:` key. This configuration is most useful for configuring sources imported from [a package](/docs/build/packages). + +You can disable sources imported from a package to prevent them from rendering in the documentation, or to prevent [source freshness checks](/docs/build/sources#snapshotting-source-data-freshness) from running on source tables imported from packages. + +- **Note**: To disable a source table nested in a YAML file in a subfolder, you will need to supply the subfolder(s) within the path to that YAML file, as well as the source name and the table name in the `dbt_project.yml` file.

+ The following example shows how to disable a source table nested in a YAML file in a subfolder: + + + + ```yaml + sources: + your_project_name: + subdirectory_name: + source_name: + source_table_name: + +enabled: false + ``` + ### Examples diff --git a/website/sidebars.js b/website/sidebars.js index 7898715cd0d..8920a7180d4 100644 --- a/website/sidebars.js +++ b/website/sidebars.js @@ -599,6 +599,23 @@ const sidebarSettings = { "docs/dbt-versions/upgrade-core-in-cloud", "docs/dbt-versions/product-lifecycles", "docs/dbt-versions/experimental-features", + { + type: "category", + label: "dbt Core upgrade guides", + link: { + type: "generated-index", + title: "Version upgrade guides", + description: + "Learn what's new in the latest version of dbt Core.", + slug: "/docs/dbt-versions/core-upgrade", + }, + items: [ + { + type: "autogenerated", + dirName: "docs/dbt-versions/core-upgrade", + }, + ], + }, { type: "category", label: "dbt Cloud Release Notes", @@ -699,6 +716,7 @@ const sidebarSettings = { label: "Resource configs and properties", items: [ "reference/configs-and-properties", + "reference/resource-configs/resource-path", { type: "category", label: "General properties", @@ -936,7 +954,13 @@ const sidebarSettings = { { type: "category", label: "Database Permissions", - items: ["reference/snowflake-permissions"], + items: [ + "reference/database-permissions/about-database-permissions", + "reference/database-permissions/databricks-permissions", + "reference/database-permissions/postgres-permissions", + "reference/database-permissions/redshift-permissions", + "reference/database-permissions/snowflake-permissions", + ], }, ], guides: [ @@ -1109,20 +1133,17 @@ const sidebarSettings = { { type: "category", label: "Versions", - link: { - type: "generated-index", - title: "Version migration guides", - description: - "Learn how to upgrade to the latest version of dbt Core.", - slug: "/guides/migration/versions", - }, items: [ - { - type: "autogenerated", - dirName: "guides/migration/versions", + "docs/dbt-versions/core-upgrade/upgrading-to-v1.7", + "docs/dbt-versions/core-upgrade/upgrading-to-v1.6", + "docs/dbt-versions/core-upgrade/upgrading-to-v1.5", + "docs/dbt-versions/core-upgrade/upgrading-to-v1.4", + "docs/dbt-versions/core-upgrade/upgrading-to-v1.3", + "docs/dbt-versions/core-upgrade/upgrading-to-v1.2", + "docs/dbt-versions/core-upgrade/upgrading-to-v1.1", + "docs/dbt-versions/core-upgrade/upgrading-to-v1.0", + ], }, - ], - }, { type: "category", label: "Tools", diff --git a/website/snippets/_available-tiers-privatelink.md b/website/snippets/_available-tiers-privatelink.md new file mode 100644 index 00000000000..4a3a147d8c6 --- /dev/null +++ b/website/snippets/_available-tiers-privatelink.md @@ -0,0 +1,9 @@ +:::info Limited to certain Enterprise tiers + +The PrivateLink feature is available on the following dbt Cloud Enterprise tiers: + * Business Critical + * Virtual Private + +To learn more about these tiers, contact us at . + +::: \ No newline at end of file diff --git a/website/snippets/_sl-define-metrics.md b/website/snippets/_sl-define-metrics.md index 3734e819c1b..af3ee9f297f 100644 --- a/website/snippets/_sl-define-metrics.md +++ b/website/snippets/_sl-define-metrics.md @@ -4,7 +4,7 @@ MetricFlow supports different metric types like [simple](/docs/build/simple), [r 1. You can define metrics in the same YAML files as your semantic models or create a new file. If you want to create your metrics in a new file, create another directory called `/models/metrics`. The file structure for metrics can become more complex from here if you need to further organize your metrics, for example, by data source or business line. -2. The example metric we'll create is a simple metric that refers directly to the the `order_total` measure, which will be implemented as a `sum()` function in SQL. Again, if you're working in the Jaffle shop sandbox, we recommend deleting the original `orders.yml` file, or removing the .yml extension so it's ignored during parsing. We'll be rebuilding the `order_total` metric from scratch. If you're working in your own project, create a simple metric like the one below using one of the measures you created in the previous step. +2. The example metric we'll create is a simple metric that refers directly to the `order_total` measure, which will be implemented as a `sum()` function in SQL. Again, if you're working in the Jaffle shop sandbox, we recommend deleting the original `orders.yml` file, or removing the .yml extension so it's ignored during parsing. We'll be rebuilding the `order_total` metric from scratch. If you're working in your own project, create a simple metric like the one below using one of the measures you created in the previous step. ```yaml metrics: diff --git a/website/snippets/_sl-partner-links.md b/website/snippets/_sl-partner-links.md index 3d835244455..c97c682171b 100644 --- a/website/snippets/_sl-partner-links.md +++ b/website/snippets/_sl-partner-links.md @@ -35,8 +35,8 @@ The following tools integrate with the dbt Semantic Layer: title="Klipfolio PowerMetrics" body="Learn how to connect to a streamlined metrics catalog and deliver metric-centric analytics to business users." icon="klipfolio" - link="https://www.klipfolio.com/dbt"/> - + @@ -90,9 +90,9 @@ The following tools integrate with the dbt Semantic Layer: - diff --git a/website/snippets/_upgrade-move.md b/website/snippets/_upgrade-move.md new file mode 100644 index 00000000000..7572077fd1b --- /dev/null +++ b/website/snippets/_upgrade-move.md @@ -0,0 +1,5 @@ +:::important Upgrade Guides Are Moving + +The location of the dbt Core upgrade guides has changed, and they will soon be removed from `Guides`. The new location is in the `Docs` tab under `Available dbt versions`. You have been redirected to the new URL, so please update any saved links and bookmarks. + +::: \ No newline at end of file diff --git a/website/snippets/_v2-sl-prerequisites.md b/website/snippets/_v2-sl-prerequisites.md index 852730604d0..c80db4d1c8f 100644 --- a/website/snippets/_v2-sl-prerequisites.md +++ b/website/snippets/_v2-sl-prerequisites.md @@ -8,7 +8,8 @@ - **Note:** Semantic Layer currently supports the Deployment environment for querying. (_development querying experience coming soon_) - Set up the [Semantic Layer API](/docs/dbt-cloud-apis/sl-api-overview) in the integrated tool to import metric definitions. - To access the API and query metrics in downstream tools, you must have a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) account. dbt Core or Developer accounts can define metrics but won't be able to dynamically query them.
-- Understand [MetricFlow's](/docs/build/about-metricflow) key concepts, which powers the latest dbt Semantic Layer. +- Understand [MetricFlow's](/docs/build/about-metricflow) key concepts, which powers the latest dbt Semantic Layer. +- Note that SSH tunneling for [Postgres and Redshift](/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb) connections, [PrivateLink](/docs/cloud/secure/about-privatelink), and [Single sign-on (SSO)](/docs/cloud/manage-access/sso-overview) isn't supported yet. diff --git a/website/snippets/core-versions-table.md b/website/snippets/core-versions-table.md index b08c23c84c5..71e11974a56 100644 --- a/website/snippets/core-versions-table.md +++ b/website/snippets/core-versions-table.md @@ -2,14 +2,14 @@ | dbt Core | Initial Release | Support Level | Critical Support Until | |------------------------------------------------------------|-----------------|----------------|-------------------------| -| [**v1.7**](/guides/migration/versions/upgrading-to-v1.7) (beta)| Oct 26, 2023 | - | - | -| [**v1.6**](/guides/migration/versions/upgrading-to-v1.6) | Jul 31, 2023 | Active | Jul 30, 2024 | -| [**v1.5**](/guides/migration/versions/upgrading-to-v1.5) | Apr 27, 2023 | Critical | Apr 27, 2024 | -| [**v1.4**](/guides/migration/versions/upgrading-to-v1.4) | Jan 25, 2023 | Critical | Jan 25, 2024 | -| [**v1.3**](/guides/migration/versions/upgrading-to-v1.3) | Oct 12, 2022 | End of Life* ⚠️ | Oct 12, 2023 | -| [**v1.2**](/guides/migration/versions/upgrading-to-v1.2) | Jul 26, 2022 | End of Life* ⚠️ | Jul 26, 2023 | -| [**v1.1**](/guides/migration/versions/upgrading-to-v1.1) ⚠️ | Apr 28, 2022 | Deprecated ⛔️ | Deprecated ⛔️ | -| [**v1.0**](/guides/migration/versions/upgrading-to-v1.0) ⚠️ | Dec 3, 2021 | Deprecated ⛔️ | Deprecated ⛔️ | +| [**v1.7**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.7) | Nov 2, 2023 | Active | Nov 1, 2024 | +| [**v1.6**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.6) | Jul 31, 2023 | Critical | Jul 30, 2024 | +| [**v1.5**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.5) | Apr 27, 2023 | Critical | Apr 27, 2024 | +| [**v1.4**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.4) | Jan 25, 2023 | Critical | Jan 25, 2024 | +| [**v1.3**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.3) | Oct 12, 2022 | End of Life* ⚠️ | Oct 12, 2023 | +| [**v1.2**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.2) | Jul 26, 2022 | End of Life* ⚠️ | Jul 26, 2023 | +| [**v1.1**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.1) ⚠️ | Apr 28, 2022 | Deprecated ⛔️ | Deprecated ⛔️ | +| [**v1.0**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.0) ⚠️ | Dec 3, 2021 | Deprecated ⛔️ | Deprecated ⛔️ | | **v0.X** ⛔️ | (Various dates) | Deprecated ⛔️ | Deprecated ⛔️ | _*All versions of dbt Core since v1.0 are available in dbt Cloud until further notice. Versions that are EOL do not receive any fixes. For the best support, we recommend upgrading to a version released within the past 12 months._ ### Planned future releases @@ -18,6 +18,5 @@ _Future release dates are tentative and subject to change._ | dbt Core | Planned Release | Critical & dbt Cloud Support Until | |----------|-----------------|-------------------------------------| -| **v1.7** | _Oct 2023_ | _Oct 2024_ | | **v1.8** | _Jan 2024_ | _Jan 2025_ | | **v1.9** | _Apr 2024_ | _Apr 2025_ | diff --git a/website/snippets/metadata-api-prerequisites.md b/website/snippets/metadata-api-prerequisites.md index 35532e28bdc..6e2d1550223 100644 --- a/website/snippets/metadata-api-prerequisites.md +++ b/website/snippets/metadata-api-prerequisites.md @@ -2,5 +2,5 @@ - dbt Cloud [multi-tenant](/docs/cloud/about-cloud/tenancy#multi-tenant) or [single tenant](/docs/cloud/about-cloud/tenancy#single-tenant) account - You must be on a [Team or Enterprise plan](https://www.getdbt.com/pricing/) -- Your projects must be on dbt version 1.0 or higher. Refer to [Version migration guides](/guides/migration/versions) to upgrade +- Your projects must be on dbt version 1.0 or higher. Refer to [Version migration guides](/docs/dbt-versions/core-upgrade) to upgrade diff --git a/website/snippets/slack-notifications-config-steps.md b/website/snippets/slack-notifications-config-steps.md deleted file mode 100644 index da63f7afcc9..00000000000 --- a/website/snippets/slack-notifications-config-steps.md +++ /dev/null @@ -1,28 +0,0 @@ -Setting up Slack notifications in dbt Cloud enables you to receive alerts in a chosen Slack channel when a job run succeeds, fails, or is cancelled. - -:::info Note -Currently, Slack notifications can only be configured by one user to one Slack channel. Additionally, you must be an admin of the Slack workspace in order to configure Slack notifications. - -If there have been changes to the user roles and you need to move ownership, please reach out to support@getdbt.com and provide the support team with the necessary information needed to make this change for you. -::: -### Setup the integration - -1. Click the gear in the top right and select **Profile**. -2. Click **Integrations** to the left. - -3. Click **Link your Slack profile** - -4. Allow dbt Labs to access the Slack workspace. If you are a member of multiple, you can select the appropriate workspace from the dropdown menu in the top right corner. - - -### Configure the notifications - -1. Click the gear in the top right and select **Account Settings**. -2. Click **Slack Notifications** to the left and click **Edit** to the right. - -3. You can find the Slack notification settings at the bottom of the page. - -### Disabling the Slack integration - -To disable the integration entirely, navigate back to the Integrations page and click **Disconnect Account** in the Slack pane. Confirm the disconnect, and the option will revert to its original state. - diff --git a/website/src/components/stoplight/index.js b/website/src/components/stoplight/index.js index bff43dd27c8..7baf2991b4f 100644 --- a/website/src/components/stoplight/index.js +++ b/website/src/components/stoplight/index.js @@ -1,17 +1,16 @@ import { API } from "@stoplight/elements"; import React from "react"; import useBaseUrl from "@docusaurus/useBaseUrl"; + export default function Stoplight({ version }) { if (!["v1", "v2", "v3", "private"].includes(version)) { return null; } + return ( <> - + + 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files /dev/null and b/website/static/img/docs/deploy/example-notification-slack-channels.png differ diff --git a/website/static/img/docs/deploy/example-slack-notification-settings-page.png b/website/static/img/docs/deploy/example-slack-notification-settings-page.png new file mode 100644 index 00000000000..dc72d291e57 Binary files /dev/null and b/website/static/img/docs/deploy/example-slack-notification-settings-page.png differ diff --git a/website/static/img/icons/delphi.svg b/website/static/img/icons/delphi.svg index a154b7dfa82..7ac5c49571e 100644 --- a/website/static/img/icons/delphi.svg +++ b/website/static/img/icons/delphi.svg @@ -1,550 +1 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + diff --git a/website/static/img/icons/white/delphi.svg b/website/static/img/icons/white/delphi.svg index 8d767499ab9..7ac5c49571e 100644 --- a/website/static/img/icons/white/delphi.svg +++ b/website/static/img/icons/white/delphi.svg @@ -1,550 +1 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file + diff --git a/website/vercel.json b/website/vercel.json index 14b3a0a6af0..606e903a700 100644 --- a/website/vercel.json +++ b/website/vercel.json @@ -2,6 +2,126 @@ "cleanUrls": true, "trailingSlash": false, "redirects": [ + { + "source": "/faqs/Project/docs-for-multiple-projects", + "destination": "/docs/collaborate/explore-projects#about-project-level-lineage", + "permanent": true + }, + { + "source": "/faqs/Accounts/slack", + "destination": "/docs/deploy/job-notifications", + "permanent": true + }, + { + "source": "/guides/migration/versions", + "destination": "/docs/dbt-versions/core-upgrade", + "permanent": true + }, + { + "source": "/guides/migration/versions/upgrading-to-v1.7", + "destination": "/docs/dbt-versions/core-upgrade/upgrading-to-v1.7", + "permanent": true + }, + { + "source": "/guides/migration/versions/upgrading-to-v1.6", + "destination": "/docs/dbt-versions/core-upgrade/upgrading-to-v1.6", + "permanent": true + }, + { + "source": "/guides/migration/versions/upgrading-to-v1.5", + "destination": "/docs/dbt-versions/core-upgrade/upgrading-to-v1.5", + "permanent": true + }, + { + "source": "/guides/migration/versions/upgrading-to-v1.4", + "destination": "/docs/dbt-versions/core-upgrade/upgrading-to-v1.4", + "permanent": true + }, + { + "source": "/guides/migration/versions/upgrading-to-v1.3", + "destination": "/docs/dbt-versions/core-upgrade/upgrading-to-v1.3", + "permanent": true + }, + { + "source": "/guides/migration/versions/upgrading-to-v1.2", + "destination": "/docs/dbt-versions/core-upgrade/upgrading-to-v1.2", + "permanent": true + }, + { + "source": "/guides/migration/versions/upgrading-to-v1.1", + "destination": "/docs/dbt-versions/core-upgrade/upgrading-to-v1.1", + "permanent": true + }, + { + "source": "/guides/migration/versions/upgrading-to-v1.0", + "destination": "/docs/dbt-versions/core-upgrade/upgrading-to-v1.0", + "permanent": true + }, + { + "source": "/guides/migration/versions/upgrading-to-v0.21", + "destination": "/docs/dbt-versions/core-upgrade/upgrading-to-v0.21", + "permanent": true + }, + { + "source": "/guides/migration/versions/upgrading-to-v0.20", + "destination": "/docs/dbt-versions/core-upgrade/upgrading-to-v0.20", + "permanent": true + }, + { + "source": "/guides/migration/versions/Older%20versions/upgrading-to-0-11-0", + "destination": "/docs/dbt-versions/core-upgrade/Older%20versions/upgrading-to-0-11-0", + "permanent": true + }, + { + "source": "/guides/migration/versions/Older%20versions/upgrading-to-0-12-0", + "destination": "/docs/dbt-versions/core-upgrade/Older%20versions/upgrading-to-0-12-0", + "permanent": true + }, + { + "source": "/guides/migration/versions/Older%20versions/upgrading-to-0-13-0", + "destination": "/docs/dbt-versions/core-upgrade/Older%20versions/upgrading-to-0-13-0", + "permanent": true + }, + { + "source": "/guides/migration/versions/Older%20versions/upgrading-to-0-14-0", + "destination": "/docs/dbt-versions/core-upgrade/Older%20versions/upgrading-to-0-14-0", + "permanent": true + }, + { + "source": "/guides/migration/versions/Older%20versions/upgrading-to-0-14-1", + "destination": "/docs/dbt-versions/core-upgrade/Older%20versions/upgrading-to-0-14-1", + "permanent": true + }, + { + "source": "/guides/migration/versions/Older%20versions/upgrading-to-0-15-0", + "destination": "/docs/dbt-versions/core-upgrade/Older%20versions/upgrading-to-0-15-0", + "permanent": true + }, + { + "source": "/guides/migration/versions/Older%20versions/upgrading-to-0-16-0", + "destination": "/docs/dbt-versions/core-upgrade/Older%20versions/upgrading-to-0-16-0", + "permanent": true + }, + { + "source": "/guides/migration/versions/Older%20versions/upgrading-to-0-17-0", + "destination": "/docs/dbt-versions/core-upgrade/Older%20versions/upgrading-to-0-17-0", + "permanent": true + }, + { + "source": "/guides/migration/versions/Older%20versions/upgrading-to-0-18-0", + "destination":"/docs/dbt-versions/core-upgrade/Older%20versions/upgrading-to-0-18-0" , + "permanent": true + }, + { + "source": "/guides/migration/versions/Older%20versions/upgrading-to-0-19-0", + "destination": "/docs/dbt-versions/core-upgrade/Older%20versions/upgrading-to-0-19-0", + "permanent": true + }, + { + "source": "/reference/snowflake-permissions", + "destination": "/reference/database-permissions/snowflake-permissions", + "permanent": true + }, { "source": "/docs/build/metricflow-cli", "destination": "/docs/build/metricflow-commands",