diff --git a/en/self-host/advanced-deployments/local-source-code.mdx b/en/self-host/advanced-deployments/local-source-code.mdx
index 5292c9ab..3e836000 100644
--- a/en/self-host/advanced-deployments/local-source-code.mdx
+++ b/en/self-host/advanced-deployments/local-source-code.mdx
@@ -30,8 +30,12 @@ A series of middlewares for storage (e.g. PostgreSQL / Redis / Weaviate (if not
 
 ```Bash
 cd docker
+
 cp middleware.env.example middleware.env
-docker compose -f docker-compose.middleware.yaml up -d
+
+# change the profile to mysql if you are not using postgresql
+# change the profile to other vector database if you are not using weaviate
+docker compose -f docker-compose.middleware.yaml --profile postgresql --profile weaviate -p dify up -d
 ```
 
 ---
@@ -75,7 +79,7 @@ The backend services include
     [uv](https://docs.astral.sh/uv/getting-started/installation/) is used to manage dependencies.
     Install the required dependencies with `uv` by running:
     ```
-    uv sync
+    uv sync --dev
     ```
     > For macOS: install libmagic with `brew install libmagic`.
 
@@ -111,14 +115,14 @@ To consume asynchronous tasks from the queue, such as dataset file import and da
 
 - for macOS or Linux
     ```
-    uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace
+    uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,priority_dataset,priority_pipeline,pipeline,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation,workflow,schedule_poller,schedule_executor,triggered_workflow_dispatcher,trigger_refresh_executor
     ```
 
     If you are using a Windows system to start the Worker service, please use the following command instead:
 
 - for Windows
     ```
-    uv run celery -A app.celery worker -P solo --without-gossip --without-mingle -Q dataset,generation,mail,ops_trace --loglevel INFO
+    uv run celery -A app.celery worker -P solo --without-gossip --without-mingle --loglevel INFO -Q dataset,priority_dataset,priority_pipeline,pipeline,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation,workflow,schedule_poller,schedule_executor,triggered_workflow_dispatcher,trigger_refresh_executor
     ```
 
     Expected output:
@@ -189,6 +193,14 @@ To consume asynchronous tasks from the queue, such as dataset file import and da
     2025-04-28 17:07:15,742 INFO [pidbox.py:111]  pidbox: Connected to redis://:**@localhost:6379/1.
     ```
 
+### Start the Beat Service
+
+Additionally, if you want to debug the celery scheduled tasks or run the Schedule Trigger node, you can run the following command in another terminal to start the beat service:
+
+```bash
+uv run celery -A app.celery beat
+```
+
 ---
 
 ## Setup Web Service
diff --git a/ja/self-host/advanced-deployments/local-source-code.mdx b/ja/self-host/advanced-deployments/local-source-code.mdx
index d0349fc8..8237e29e 100644
--- a/ja/self-host/advanced-deployments/local-source-code.mdx
+++ b/ja/self-host/advanced-deployments/local-source-code.mdx
@@ -35,8 +35,12 @@ git clone https://github.com/langgenius/dify.git
 
 ```Bash
 cd docker
+
 cp middleware.env.example middleware.env
-docker compose -f docker-compose.middleware.yaml up -d
+
+# postgresql を使用していない場合は profile を mysql に変更してください
+# weaviate を使用していない場合は profile を他のベクターデータベースに変更してください
+docker compose -f docker-compose.middleware.yaml --profile postgresql --profile weaviate -p dify up -d
 ```
 
 ***
@@ -80,7 +84,7 @@ docker compose -f docker-compose.middleware.yaml up -d
     依存関係の管理には [uv](https://docs.astral.sh/uv/getting-started/installation/) を使用します。
     `uv` で必要な依存関係をインストールするには、次のコマンドを実行します：
     ```
-    uv sync
+    uv sync --dev
     ```
     > macOS の場合：`brew install libmagic` で libmagic をインストールしてください。
 
@@ -116,14 +120,14 @@ docker compose -f docker-compose.middleware.yaml up -d
 
 - macOS または Linux の場合
     ```
-    uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace
+    uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,priority_dataset,priority_pipeline,pipeline,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation,workflow,schedule_poller,schedule_executor,triggered_workflow_dispatcher,trigger_refresh_executor
     ```
 
     Windows システムで Worker サービスを起動する場合は、代わりに次のコマンドを使用してください：
 
 - Windows の場合
     ```
-    uv run celery -A app.celery worker -P solo --without-gossip --without-mingle -Q dataset,generation,mail,ops_trace --loglevel INFO
+    uv run celery -A app.celery worker -P solo --without-gossip --without-mingle --loglevel INFO -Q dataset,priority_dataset,priority_pipeline,pipeline,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation,workflow,schedule_poller,schedule_executor,triggered_workflow_dispatcher,trigger_refresh_executor
     ```
 
     期待される出力：
@@ -194,6 +198,14 @@ docker compose -f docker-compose.middleware.yaml up -d
     2025-04-28 17:07:15,742 INFO [pidbox.py:111]  pidbox: Connected to redis://:**@localhost:6379/1.
     ```
 
+### Beat サービスの起動
+
+さらに、Celery のスケジュールタスクをデバッグしたり、Schedule Trigger ノードを実行したい場合は、別のターミナルで以下のコマンドを実行して Beat サービスを起動できます：
+
+```bash
+uv run celery -A app.celery beat
+```
+
 ---
 
 ## Web サービスのセットアップ
diff --git a/zh/self-host/advanced-deployments/local-source-code.mdx b/zh/self-host/advanced-deployments/local-source-code.mdx
index a6e60c79..a706ef70 100644
--- a/zh/self-host/advanced-deployments/local-source-code.mdx
+++ b/zh/self-host/advanced-deployments/local-source-code.mdx
@@ -34,8 +34,12 @@ Dify 后端服务需要一系列用于存储（如 PostgreSQL / Redis / Weaviate
 
 ```Bash
 cd docker
+
 cp middleware.env.example middleware.env
-docker compose -f docker-compose.middleware.yaml up -d
+
+# 如果不使用 postgresql，请将 profile 更改为 mysql
+# 如果不使用 weaviate，请将 profile 更改为其他向量数据库
+docker compose -f docker-compose.middleware.yaml --profile postgresql --profile weaviate -p dify up -d
 ```
 
 ---
@@ -79,7 +83,7 @@ docker compose -f docker-compose.middleware.yaml up -d
     使用 [uv](https://docs.astral.sh/uv/getting-started/installation/) 管理依赖。
     通过运行以下命令使用 `uv` 安装所需依赖：
     ```
-    uv sync
+    uv sync --dev
     ```
     > 对于 macOS：使用 `brew install libmagic` 安装 libmagic。
 
@@ -115,14 +119,14 @@ docker compose -f docker-compose.middleware.yaml up -d
 
 - 对于 macOS 或 Linux
     ```
-    uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace
+    uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,priority_dataset,priority_pipeline,pipeline,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation,workflow,schedule_poller,schedule_executor,triggered_workflow_dispatcher,trigger_refresh_executor
     ```
 
     如果你使用 Windows 系统启动 Worker 服务，请使用以下命令：
 
 - 对于 Windows
     ```
-    uv run celery -A app.celery worker -P solo --without-gossip --without-mingle -Q dataset,generation,mail,ops_trace --loglevel INFO
+    uv run celery -A app.celery worker -P solo --without-gossip --without-mingle --loglevel INFO -Q dataset,priority_dataset,priority_pipeline,pipeline,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation,workflow,schedule_poller,schedule_executor,triggered_workflow_dispatcher,trigger_refresh_executor
     ```
 
     预期输出：
@@ -193,6 +197,14 @@ docker compose -f docker-compose.middleware.yaml up -d
     2025-04-28 17:07:15,742 INFO [pidbox.py:111]  pidbox: Connected to redis://:**@localhost:6379/1.
     ```
 
+### 启动 Beat 服务
+
+如需调试 celery 定时任务或运行定时触发器节点，可以在另一个终端中运行以下命令启动 beat 服务：
+
+```bash
+uv run celery -A app.celery beat
+```
+
 ---
 
 ## 设置 Web 服务