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docs: document spark dbt adapter support in lightdash deploy #659

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docs: document spark dbt adapter support in lightdash deploy #659

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12 changes: 12 additions & 0 deletions references/lightdash-cli.mdx
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Expand Up @@ -464,6 +464,18 @@ Create a new project that uses the `production` credentials from your local dbt
lightdash deploy --create --target production
```

Create a new project from a dbt project that uses the `spark` adapter (for example, a session-based profile that runs against Athena via Spark). Spark profiles don't include warehouse credentials, so Lightdash auto-detects the adapter, skips credential collection, and creates the project without a warehouse connection. Open the project in the Lightdash UI afterwards and configure your query engine (for example, Athena) on the **Project settings → Connection** page:

```bash
lightdash deploy --create --target production
```

You can also create a project explicitly without warehouse credentials for any adapter. The project is created with no warehouse connection, which you then configure in the UI:

```bash
lightdash deploy --create --no-warehouse-credentials
```

Deploy a large project with many explores using batched deploy:

```bash
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