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amychen1776 authored Nov 21, 2024
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49 changes: 0 additions & 49 deletions .github/ISSUE_TEMPLATE/internal-orch-team.yml

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15 changes: 0 additions & 15 deletions README.md
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Advisory:
- If you run into an `fatal error: 'vips/vips8' file not found` error when you run `npm install`, you may need to run `brew install vips`. Warning: this one will take a while -- go ahead and grab some coffee!

## Running the Cypress tests locally

Method 1: Utilizing the Cypress GUI
1. `cd` into the repo: `cd docs.getdbt.com`
2. `cd` into the `website` subdirectory: `cd website`
3. Install the required node packages: `npm install`
4. Run `npx cypress open` to open the Cypress GUI, and choose `E2E Testing` as the Testing Type, before finally selecting your browser and clicking `Start E2E testing in {broswer}`
5. Click on a test and watch it run!

Method 2: Running the Cypress E2E tests headlessly
1. `cd` into the repo: `cd docs.getdbt.com`
2. `cd` into the `website` subdirectory: `cd website`
3. Install the required node packages: `npm install`
4. Run `npx cypress run`
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2 changes: 1 addition & 1 deletion website/blog/2024-10-04-hybrid-mesh.md
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- Note: If you have [environment variables](/docs/build/environment-variables) in your project, dbt Cloud environment variables must be prefixed with `DBT_ `(including `DBT_ENV_CUSTOM_ENV_` or `DBT_ENV_SECRET`). Follow the instructions in [this guide](https://docs.getdbt.com/guides/core-to-cloud-1?step=8#environment-variables) to convert them for dbt Cloud.
- Each upstream Core project has to have a production [environment](/docs/dbt-cloud-environments) in dbt Cloud. You need to configure credentials and environment variables in dbt Cloud just so that it will resolve relation names to the same places where your dbt Core workflows are deploying those models.
- Set up a [merge job](/docs/deploy/merge-jobs) in a production environment to run `dbt parse`. This will enable connecting downstream projects in dbt Mesh by producing the necessary [artifacts](/reference/artifacts/dbt-artifacts) for cross-project referencing.
- Note: Set up a regular job to run `dbt build` instead of using a merge job for `dbt parse`, and centralize your dbt orchestration by moving production runs to dbt Cloud. Check out [this guide](/guides/core-to-cloud-1?step=9) for more details on converting your production runs to dbt Cloud.
- Optional: Set up a regular job to run `dbt build` instead of using a merge job for `dbt parse`, and centralize your dbt orchestration by moving production runs to dbt Cloud. Check out [this guide](/guides/core-to-cloud-1?step=9) for more details on converting your production runs to dbt Cloud.
- Optional: Set up a regular job (for example, daily) to run `source freshness` and `docs generate`. This will hydrate dbt Cloud with additional metadata and enable features in [dbt Explorer](/docs/collaborate/explore-projects) that will benefit both teams, including [Column-level lineage](/docs/collaborate/column-level-lineage).

### Step 3: Create and connect your downstream projects to your Core project using dbt Mesh
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