From 6fd8df8a670907729f9c0956fad7b94aa66302f8 Mon Sep 17 00:00:00 2001
From: "mintlify[bot]" <109931778+mintlify[bot]@users.noreply.github.com>
Date: Mon, 18 May 2026 21:39:13 +0000
Subject: [PATCH] docs: document spark dbt adapter support in lightdash deploy

---
 references/lightdash-cli.mdx | 12 ++++++++++++
 1 file changed, 12 insertions(+)

diff --git a/references/lightdash-cli.mdx b/references/lightdash-cli.mdx
index 4d03205c..cba45ac5 100644
--- a/references/lightdash-cli.mdx
+++ b/references/lightdash-cli.mdx
@@ -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