diff --git a/src/.vuepress/public/img/data-modeling-new-1-en.png b/src/.vuepress/public/img/data-modeling-new-1-en.png
new file mode 100644
index 000000000..76fc329d6
Binary files /dev/null and b/src/.vuepress/public/img/data-modeling-new-1-en.png differ
diff --git a/src/.vuepress/public/img/data-modeling-new-1.png b/src/.vuepress/public/img/data-modeling-new-1.png
new file mode 100644
index 000000000..146a417a9
Binary files /dev/null and b/src/.vuepress/public/img/data-modeling-new-1.png differ
diff --git a/src/.vuepress/public/img/data-modeling-new-10-en.png b/src/.vuepress/public/img/data-modeling-new-10-en.png
new file mode 100644
index 000000000..6660b7947
Binary files /dev/null and b/src/.vuepress/public/img/data-modeling-new-10-en.png differ
diff --git a/src/.vuepress/public/img/data-modeling-new-10.png b/src/.vuepress/public/img/data-modeling-new-10.png
new file mode 100644
index 000000000..a08206e59
Binary files /dev/null and b/src/.vuepress/public/img/data-modeling-new-10.png differ
diff --git a/src/.vuepress/public/img/data-modeling-new-2-en.png b/src/.vuepress/public/img/data-modeling-new-2-en.png
new file mode 100644
index 000000000..e5272403d
Binary files /dev/null and b/src/.vuepress/public/img/data-modeling-new-2-en.png differ
diff --git a/src/.vuepress/public/img/data-modeling-new-2.png b/src/.vuepress/public/img/data-modeling-new-2.png
new file mode 100644
index 000000000..b32ccb947
Binary files /dev/null and b/src/.vuepress/public/img/data-modeling-new-2.png differ
diff --git a/src/.vuepress/public/img/data-modeling-new-3.png b/src/.vuepress/public/img/data-modeling-new-3.png
new file mode 100644
index 000000000..f6f35fad1
Binary files /dev/null and b/src/.vuepress/public/img/data-modeling-new-3.png differ
diff --git a/src/.vuepress/public/img/data-modeling-new-4-en.png b/src/.vuepress/public/img/data-modeling-new-4-en.png
new file mode 100644
index 000000000..c740dc695
Binary files /dev/null and b/src/.vuepress/public/img/data-modeling-new-4-en.png differ
diff --git a/src/.vuepress/public/img/data-modeling-new-4.png b/src/.vuepress/public/img/data-modeling-new-4.png
new file mode 100644
index 000000000..7c227d724
Binary files /dev/null and b/src/.vuepress/public/img/data-modeling-new-4.png differ
diff --git a/src/.vuepress/public/img/data-modeling-new-5-en.png b/src/.vuepress/public/img/data-modeling-new-5-en.png
new file mode 100644
index 000000000..1d77f1812
Binary files /dev/null and b/src/.vuepress/public/img/data-modeling-new-5-en.png differ
diff --git a/src/.vuepress/public/img/data-modeling-new-5.png b/src/.vuepress/public/img/data-modeling-new-5.png
new file mode 100644
index 000000000..04911476c
Binary files /dev/null and b/src/.vuepress/public/img/data-modeling-new-5.png differ
diff --git a/src/.vuepress/public/img/data-modeling-new-6-en.png b/src/.vuepress/public/img/data-modeling-new-6-en.png
new file mode 100644
index 000000000..43ae31937
Binary files /dev/null and b/src/.vuepress/public/img/data-modeling-new-6-en.png differ
diff --git a/src/.vuepress/public/img/data-modeling-new-6.png b/src/.vuepress/public/img/data-modeling-new-6.png
new file mode 100644
index 000000000..784d01023
Binary files /dev/null and b/src/.vuepress/public/img/data-modeling-new-6.png differ
diff --git a/src/.vuepress/public/img/data-modeling-new-7-en.png b/src/.vuepress/public/img/data-modeling-new-7-en.png
new file mode 100644
index 000000000..eac2a224f
Binary files /dev/null and b/src/.vuepress/public/img/data-modeling-new-7-en.png differ
diff --git a/src/.vuepress/public/img/data-modeling-new-7.png b/src/.vuepress/public/img/data-modeling-new-7.png
new file mode 100644
index 000000000..d6f9d0115
Binary files /dev/null and b/src/.vuepress/public/img/data-modeling-new-7.png differ
diff --git a/src/.vuepress/public/img/data-modeling-new-8-en.png b/src/.vuepress/public/img/data-modeling-new-8-en.png
new file mode 100644
index 000000000..e7da7f849
Binary files /dev/null and b/src/.vuepress/public/img/data-modeling-new-8-en.png differ
diff --git a/src/.vuepress/public/img/data-modeling-new-8.png b/src/.vuepress/public/img/data-modeling-new-8.png
new file mode 100644
index 000000000..0b6224432
Binary files /dev/null and b/src/.vuepress/public/img/data-modeling-new-8.png differ
diff --git a/src/.vuepress/public/img/data-modeling-new-9-en.png b/src/.vuepress/public/img/data-modeling-new-9-en.png
new file mode 100644
index 000000000..9156936d5
Binary files /dev/null and b/src/.vuepress/public/img/data-modeling-new-9-en.png differ
diff --git a/src/.vuepress/public/img/data-modeling-new-9.png b/src/.vuepress/public/img/data-modeling-new-9.png
new file mode 100644
index 000000000..0f289e8cf
Binary files /dev/null and b/src/.vuepress/public/img/data-modeling-new-9.png differ
diff --git a/src/UserGuide/Master/Table/Background-knowledge/Data-Model-and-Terminology_apache.md b/src/UserGuide/Master/Table/Background-knowledge/Data-Model-and-Terminology_apache.md
index 0d2124dc2..ddf1626c0 100644
--- a/src/UserGuide/Master/Table/Background-knowledge/Data-Model-and-Terminology_apache.md
+++ b/src/UserGuide/Master/Table/Background-knowledge/Data-Model-and-Terminology_apache.md
@@ -235,7 +235,7 @@ Connection connection = DriverManager.getConnection(
IoTDB supports **tree-to-table conversion**, as shown in the figure below:
-
+
This feature allows existing tree-model data to be transformed into table views. Users can then query the same dataset using either model. Detailed instructions are available in [Tree-to-Table View](../User-Manual/Tree-to-Table_apache.md). **Note**: SQL statements for creating tree-to-table views **must be executed in table mode**.
@@ -273,7 +273,7 @@ The application scenarios mainly include two categories:
- If different types of devices in the scenario have different hierarchical paths and data point sets, create branches under the database node by device type. Each device type can have a different data point structure.
-

+
##### 3.1.3.2 How to mode when there are no devices, only data points?
@@ -281,7 +281,7 @@ The application scenarios mainly include two categories:
- For example, in a monitoring system for a station, each data point has a unique number but does not correspond to any specific device.
-

+
##### 3.1.3.3 How to mode when a device has both sub-devices and data points?
@@ -289,7 +289,7 @@ The application scenarios mainly include two categories:
- For example, in an energy storage scenario, each layer of the structure monitors its voltage and current. The following mode approach can be used.
-

+
@@ -325,7 +325,7 @@ The application scenarios mainly include two categories:
- Even if devices are related or have hierarchical relationships, it is recommended to create a table for each type of device.
-

+
##### 3.2.3.2 How to mode when there are no device identifier columns or attribute columns?
@@ -333,7 +333,7 @@ The application scenarios mainly include two categories:
- There is no limit to the number of columns; it can reach hundreds of thousands.
-

+
##### 3.2.3.3 How to mode when a device has both sub-devices and data points?
@@ -341,5 +341,5 @@ The application scenarios mainly include two categories:
- Each device has multiple sub-devices and data point information. It is recommended to create a table for each type of device for management.
-

+
diff --git a/src/UserGuide/Master/Table/Background-knowledge/Data-Model-and-Terminology_timecho.md b/src/UserGuide/Master/Table/Background-knowledge/Data-Model-and-Terminology_timecho.md
index 88537b320..82f89222d 100644
--- a/src/UserGuide/Master/Table/Background-knowledge/Data-Model-and-Terminology_timecho.md
+++ b/src/UserGuide/Master/Table/Background-knowledge/Data-Model-and-Terminology_timecho.md
@@ -234,7 +234,7 @@ Connection connection = DriverManager.getConnection(
IoTDB supports **tree-to-table conversion**, as shown in the figure below:
-
+
This feature allows existing tree-model data to be transformed into table views. Users can then query the same dataset using either model. Detailed instructions are available in [Tree-to-Table View](../User-Manual/Tree-to-Table_timecho.md). **Note**: SQL statements for creating tree-to-table views **must be executed in table mode**.
@@ -274,7 +274,7 @@ The application scenarios mainly include three categories:
- If different types of devices in the scenario have different hierarchical paths and data point sets, create branches under the database node by device type. Each device type can have a different data point structure.
-

+
##### 3.1.3.2 How to mode when there are no devices, only data points?
@@ -282,7 +282,7 @@ The application scenarios mainly include three categories:
- For example, in a monitoring system for a station, each data point has a unique number but does not correspond to any specific device.
-

+
##### 3.1.3.3 How to mode when a device has both sub-devices and data points?
@@ -290,7 +290,7 @@ The application scenarios mainly include three categories:
- For example, in an energy storage scenario, each layer of the structure monitors its voltage and current. The following mode approach can be used.
-

+
@@ -326,7 +326,7 @@ The application scenarios mainly include three categories:
- Even if devices are related or have hierarchical relationships, it is recommended to create a table for each type of device.
-

+
##### 3.2.3.2 How to mode when there are no device identifier columns or attribute columns?
@@ -334,7 +334,7 @@ The application scenarios mainly include three categories:
- There is no limit to the number of columns; it can reach hundreds of thousands.
-

+
##### 3.2.3.3 How to mode when a device has both sub-devices and data points?
@@ -342,7 +342,7 @@ The application scenarios mainly include three categories:
- Each device has multiple sub-devices and data point information. It is recommended to create a table for each type of device for management.
-

+
### 3.3 Scenario 3: Dual-Mode Integration
@@ -366,7 +366,7 @@ The application scenarios mainly include three categories:
- **Table View**T: Create a table view for each type of device, with each table view having different tags and data point sets.
-

+
##### 3.3.2.2 How to mode when there are no device identifier columns or attribute columns?
@@ -375,7 +375,7 @@ The application scenarios mainly include three categories:
- **Table View**: Place all data points into a single table. There is no limit to the number of data point columns; it can reach hundreds of thousands. If data points have the same data type, they can be treated as the same type of device.
-

+
##### 3.3.2.3 How to mode when a device has both sub-devices and data points?
@@ -384,5 +384,5 @@ The application scenarios mainly include three categories:
- **Table View**: Create multiple tables to manage each layer of structural information according to device classification.
-

+
diff --git a/src/UserGuide/Master/Tree/Background-knowledge/Data-Model-and-Terminology_apache.md b/src/UserGuide/Master/Tree/Background-knowledge/Data-Model-and-Terminology_apache.md
index ef9510cfe..b98bd5989 100644
--- a/src/UserGuide/Master/Tree/Background-knowledge/Data-Model-and-Terminology_apache.md
+++ b/src/UserGuide/Master/Tree/Background-knowledge/Data-Model-and-Terminology_apache.md
@@ -239,7 +239,7 @@ Connection connection = DriverManager.getConnection(
IoTDB supports **tree-to-table conversion**, as shown in the figure below:
-
+
This feature allows existing tree-model data to be transformed into table views. Users can then query the same dataset using either model. Detailed instructions are available in [Tree-to-Table View](../../latest-Table/User-Manual/Tree-to-Table_apache.md). **Note**: SQL statements for creating tree-to-table views **must be executed in table mode**.
@@ -278,7 +278,7 @@ The application scenarios mainly include two categories:
- If different types of devices in the scenario have different hierarchical paths and data point sets, create branches under the database node by device type. Each device type can have a different data point structure.
-

+
##### 3.1.3.2 How to when there are no devices, only data points?
@@ -286,7 +286,7 @@ The application scenarios mainly include two categories:
- For example, in a monitoring system for a station, each data point has a unique number but does not correspond to any specific device.
-

+
##### 3.1.3.3 How to mode when a device has both sub-devices and data points?
@@ -294,7 +294,7 @@ The application scenarios mainly include two categories:
- For example, in an energy storage scenario, each layer of the structure monitors its voltage and current. The following mode approach can be used.
-

+
@@ -330,7 +330,7 @@ The application scenarios mainly include two categories:
- Even if devices are related or have hierarchical relationships, it is recommended to create a table for each type of device.
-

+
##### 3.2.3.2 How to mode when there are no device identifier columns or attribute columns?
@@ -338,7 +338,7 @@ The application scenarios mainly include two categories:
- There is no limit to the number of columns; it can reach hundreds of thousands.
-

+
##### 3.2.3.3 How to mode when a device has both sub-devices and data points?
@@ -346,5 +346,5 @@ The application scenarios mainly include two categories:
- Each device has multiple sub-devices and data point information. It is recommended to create a table for each type of device for management.
-

+
diff --git a/src/UserGuide/Master/Tree/Background-knowledge/Data-Model-and-Terminology_timecho.md b/src/UserGuide/Master/Tree/Background-knowledge/Data-Model-and-Terminology_timecho.md
index 6b6e2018d..0f3b1ac5e 100644
--- a/src/UserGuide/Master/Tree/Background-knowledge/Data-Model-and-Terminology_timecho.md
+++ b/src/UserGuide/Master/Tree/Background-knowledge/Data-Model-and-Terminology_timecho.md
@@ -239,7 +239,7 @@ Connection connection = DriverManager.getConnection(
IoTDB supports **tree-to-table conversion**, as shown in the figure below:
-
+
This feature allows existing tree-model data to be transformed into table views. Users can then query the same dataset using either model. Detailed instructions are available in [Tree-to-Table View](../../latest-Table/User-Manual/Tree-to-Table_timecho.md). **Note**: SQL statements for creating tree-to-table views **must be executed in table mode**.
@@ -279,7 +279,7 @@ The application scenarios mainly include three categories:
- If different types of devices in the scenario have different hierarchical paths and data point sets, create branches under the database node by device type. Each device type can have a different data point structure.
-

+
##### 3.1.3.2 How to mode when there are no devices, only data points?
@@ -287,7 +287,7 @@ The application scenarios mainly include three categories:
- For example, in a monitoring system for a station, each data point has a unique number but does not correspond to any specific device.
-

+
##### 3.1.3.3 How to mode when a device has both sub-devices and data points?
@@ -295,7 +295,7 @@ The application scenarios mainly include three categories:
- For example, in an energy storage scenario, each layer of the structure monitors its voltage and current. The following mode approach can be used.
-

+
@@ -331,7 +331,7 @@ The application scenarios mainly include three categories:
- Even if devices are related or have hierarchical relationships, it is recommended to create a table for each type of device.
-

+
##### 3.2.3.2 How to mode when there are no device identifier columns or attribute columns?
@@ -339,7 +339,7 @@ The application scenarios mainly include three categories:
- There is no limit to the number of columns; it can reach hundreds of thousands.
-

+
##### 3.2.3.3 How to mode when a device has both sub-devices and data points?
@@ -347,7 +347,7 @@ The application scenarios mainly include three categories:
- Each device has multiple sub-devices and data point information. It is recommended to create a table for each type of device for management.
-

+
### 3.3 Scenario 3: Dual-Mode Integration
@@ -371,7 +371,7 @@ The application scenarios mainly include three categories:
- **Table View**T: Create a table view for each type of device, with each table view having different tags and data point sets.
-

+
##### 3.3.2.2 How to mode when there are no device identifier columns or attribute columns?
@@ -380,7 +380,7 @@ The application scenarios mainly include three categories:
- **Table View**: Place all data points into a single table. There is no limit to the number of data point columns; it can reach hundreds of thousands. If data points have the same data type, they can be treated as the same type of device.
-

+
##### 3.3.2.3 How to mode when a device has both sub-devices and data points?
@@ -389,5 +389,5 @@ The application scenarios mainly include three categories:
- **Table View**: Create multiple tables to manage each layer of structural information according to device classification.
-

+
diff --git a/src/UserGuide/latest-Table/Background-knowledge/Data-Model-and-Terminology_apache.md b/src/UserGuide/latest-Table/Background-knowledge/Data-Model-and-Terminology_apache.md
index 0d2124dc2..ddf1626c0 100644
--- a/src/UserGuide/latest-Table/Background-knowledge/Data-Model-and-Terminology_apache.md
+++ b/src/UserGuide/latest-Table/Background-knowledge/Data-Model-and-Terminology_apache.md
@@ -235,7 +235,7 @@ Connection connection = DriverManager.getConnection(
IoTDB supports **tree-to-table conversion**, as shown in the figure below:
-
+
This feature allows existing tree-model data to be transformed into table views. Users can then query the same dataset using either model. Detailed instructions are available in [Tree-to-Table View](../User-Manual/Tree-to-Table_apache.md). **Note**: SQL statements for creating tree-to-table views **must be executed in table mode**.
@@ -273,7 +273,7 @@ The application scenarios mainly include two categories:
- If different types of devices in the scenario have different hierarchical paths and data point sets, create branches under the database node by device type. Each device type can have a different data point structure.
-

+
##### 3.1.3.2 How to mode when there are no devices, only data points?
@@ -281,7 +281,7 @@ The application scenarios mainly include two categories:
- For example, in a monitoring system for a station, each data point has a unique number but does not correspond to any specific device.
-

+
##### 3.1.3.3 How to mode when a device has both sub-devices and data points?
@@ -289,7 +289,7 @@ The application scenarios mainly include two categories:
- For example, in an energy storage scenario, each layer of the structure monitors its voltage and current. The following mode approach can be used.
-

+
@@ -325,7 +325,7 @@ The application scenarios mainly include two categories:
- Even if devices are related or have hierarchical relationships, it is recommended to create a table for each type of device.
-

+
##### 3.2.3.2 How to mode when there are no device identifier columns or attribute columns?
@@ -333,7 +333,7 @@ The application scenarios mainly include two categories:
- There is no limit to the number of columns; it can reach hundreds of thousands.
-

+
##### 3.2.3.3 How to mode when a device has both sub-devices and data points?
@@ -341,5 +341,5 @@ The application scenarios mainly include two categories:
- Each device has multiple sub-devices and data point information. It is recommended to create a table for each type of device for management.
-

+
diff --git a/src/UserGuide/latest-Table/Background-knowledge/Data-Model-and-Terminology_timecho.md b/src/UserGuide/latest-Table/Background-knowledge/Data-Model-and-Terminology_timecho.md
index 88537b320..82f89222d 100644
--- a/src/UserGuide/latest-Table/Background-knowledge/Data-Model-and-Terminology_timecho.md
+++ b/src/UserGuide/latest-Table/Background-knowledge/Data-Model-and-Terminology_timecho.md
@@ -234,7 +234,7 @@ Connection connection = DriverManager.getConnection(
IoTDB supports **tree-to-table conversion**, as shown in the figure below:
-
+
This feature allows existing tree-model data to be transformed into table views. Users can then query the same dataset using either model. Detailed instructions are available in [Tree-to-Table View](../User-Manual/Tree-to-Table_timecho.md). **Note**: SQL statements for creating tree-to-table views **must be executed in table mode**.
@@ -274,7 +274,7 @@ The application scenarios mainly include three categories:
- If different types of devices in the scenario have different hierarchical paths and data point sets, create branches under the database node by device type. Each device type can have a different data point structure.
-

+
##### 3.1.3.2 How to mode when there are no devices, only data points?
@@ -282,7 +282,7 @@ The application scenarios mainly include three categories:
- For example, in a monitoring system for a station, each data point has a unique number but does not correspond to any specific device.
-

+
##### 3.1.3.3 How to mode when a device has both sub-devices and data points?
@@ -290,7 +290,7 @@ The application scenarios mainly include three categories:
- For example, in an energy storage scenario, each layer of the structure monitors its voltage and current. The following mode approach can be used.
-

+
@@ -326,7 +326,7 @@ The application scenarios mainly include three categories:
- Even if devices are related or have hierarchical relationships, it is recommended to create a table for each type of device.
-

+
##### 3.2.3.2 How to mode when there are no device identifier columns or attribute columns?
@@ -334,7 +334,7 @@ The application scenarios mainly include three categories:
- There is no limit to the number of columns; it can reach hundreds of thousands.
-

+
##### 3.2.3.3 How to mode when a device has both sub-devices and data points?
@@ -342,7 +342,7 @@ The application scenarios mainly include three categories:
- Each device has multiple sub-devices and data point information. It is recommended to create a table for each type of device for management.
-

+
### 3.3 Scenario 3: Dual-Mode Integration
@@ -366,7 +366,7 @@ The application scenarios mainly include three categories:
- **Table View**T: Create a table view for each type of device, with each table view having different tags and data point sets.
-

+
##### 3.3.2.2 How to mode when there are no device identifier columns or attribute columns?
@@ -375,7 +375,7 @@ The application scenarios mainly include three categories:
- **Table View**: Place all data points into a single table. There is no limit to the number of data point columns; it can reach hundreds of thousands. If data points have the same data type, they can be treated as the same type of device.
-

+
##### 3.3.2.3 How to mode when a device has both sub-devices and data points?
@@ -384,5 +384,5 @@ The application scenarios mainly include three categories:
- **Table View**: Create multiple tables to manage each layer of structural information according to device classification.
-

+
diff --git a/src/UserGuide/latest/Background-knowledge/Data-Model-and-Terminology_apache.md b/src/UserGuide/latest/Background-knowledge/Data-Model-and-Terminology_apache.md
index ef9510cfe..b98bd5989 100644
--- a/src/UserGuide/latest/Background-knowledge/Data-Model-and-Terminology_apache.md
+++ b/src/UserGuide/latest/Background-knowledge/Data-Model-and-Terminology_apache.md
@@ -239,7 +239,7 @@ Connection connection = DriverManager.getConnection(
IoTDB supports **tree-to-table conversion**, as shown in the figure below:
-
+
This feature allows existing tree-model data to be transformed into table views. Users can then query the same dataset using either model. Detailed instructions are available in [Tree-to-Table View](../../latest-Table/User-Manual/Tree-to-Table_apache.md). **Note**: SQL statements for creating tree-to-table views **must be executed in table mode**.
@@ -278,7 +278,7 @@ The application scenarios mainly include two categories:
- If different types of devices in the scenario have different hierarchical paths and data point sets, create branches under the database node by device type. Each device type can have a different data point structure.
-

+
##### 3.1.3.2 How to when there are no devices, only data points?
@@ -286,7 +286,7 @@ The application scenarios mainly include two categories:
- For example, in a monitoring system for a station, each data point has a unique number but does not correspond to any specific device.
-

+
##### 3.1.3.3 How to mode when a device has both sub-devices and data points?
@@ -294,7 +294,7 @@ The application scenarios mainly include two categories:
- For example, in an energy storage scenario, each layer of the structure monitors its voltage and current. The following mode approach can be used.
-

+
@@ -330,7 +330,7 @@ The application scenarios mainly include two categories:
- Even if devices are related or have hierarchical relationships, it is recommended to create a table for each type of device.
-

+
##### 3.2.3.2 How to mode when there are no device identifier columns or attribute columns?
@@ -338,7 +338,7 @@ The application scenarios mainly include two categories:
- There is no limit to the number of columns; it can reach hundreds of thousands.
-

+
##### 3.2.3.3 How to mode when a device has both sub-devices and data points?
@@ -346,5 +346,5 @@ The application scenarios mainly include two categories:
- Each device has multiple sub-devices and data point information. It is recommended to create a table for each type of device for management.
-

+
diff --git a/src/UserGuide/latest/Background-knowledge/Data-Model-and-Terminology_timecho.md b/src/UserGuide/latest/Background-knowledge/Data-Model-and-Terminology_timecho.md
index 6b6e2018d..0f3b1ac5e 100644
--- a/src/UserGuide/latest/Background-knowledge/Data-Model-and-Terminology_timecho.md
+++ b/src/UserGuide/latest/Background-knowledge/Data-Model-and-Terminology_timecho.md
@@ -239,7 +239,7 @@ Connection connection = DriverManager.getConnection(
IoTDB supports **tree-to-table conversion**, as shown in the figure below:
-
+
This feature allows existing tree-model data to be transformed into table views. Users can then query the same dataset using either model. Detailed instructions are available in [Tree-to-Table View](../../latest-Table/User-Manual/Tree-to-Table_timecho.md). **Note**: SQL statements for creating tree-to-table views **must be executed in table mode**.
@@ -279,7 +279,7 @@ The application scenarios mainly include three categories:
- If different types of devices in the scenario have different hierarchical paths and data point sets, create branches under the database node by device type. Each device type can have a different data point structure.
-

+
##### 3.1.3.2 How to mode when there are no devices, only data points?
@@ -287,7 +287,7 @@ The application scenarios mainly include three categories:
- For example, in a monitoring system for a station, each data point has a unique number but does not correspond to any specific device.
-

+
##### 3.1.3.3 How to mode when a device has both sub-devices and data points?
@@ -295,7 +295,7 @@ The application scenarios mainly include three categories:
- For example, in an energy storage scenario, each layer of the structure monitors its voltage and current. The following mode approach can be used.
-

+
@@ -331,7 +331,7 @@ The application scenarios mainly include three categories:
- Even if devices are related or have hierarchical relationships, it is recommended to create a table for each type of device.
-

+
##### 3.2.3.2 How to mode when there are no device identifier columns or attribute columns?
@@ -339,7 +339,7 @@ The application scenarios mainly include three categories:
- There is no limit to the number of columns; it can reach hundreds of thousands.
-

+
##### 3.2.3.3 How to mode when a device has both sub-devices and data points?
@@ -347,7 +347,7 @@ The application scenarios mainly include three categories:
- Each device has multiple sub-devices and data point information. It is recommended to create a table for each type of device for management.
-

+
### 3.3 Scenario 3: Dual-Mode Integration
@@ -371,7 +371,7 @@ The application scenarios mainly include three categories:
- **Table View**T: Create a table view for each type of device, with each table view having different tags and data point sets.
-

+
##### 3.3.2.2 How to mode when there are no device identifier columns or attribute columns?
@@ -380,7 +380,7 @@ The application scenarios mainly include three categories:
- **Table View**: Place all data points into a single table. There is no limit to the number of data point columns; it can reach hundreds of thousands. If data points have the same data type, they can be treated as the same type of device.
-

+
##### 3.3.2.3 How to mode when a device has both sub-devices and data points?
@@ -389,5 +389,5 @@ The application scenarios mainly include three categories:
- **Table View**: Create multiple tables to manage each layer of structural information according to device classification.
-

+
diff --git a/src/zh/UserGuide/Master/Table/Background-knowledge/Data-Model-and-Terminology_apache.md b/src/zh/UserGuide/Master/Table/Background-knowledge/Data-Model-and-Terminology_apache.md
index c951dcf63..594884a24 100644
--- a/src/zh/UserGuide/Master/Table/Background-knowledge/Data-Model-and-Terminology_apache.md
+++ b/src/zh/UserGuide/Master/Table/Background-knowledge/Data-Model-and-Terminology_apache.md
@@ -235,7 +235,7 @@ Connection connection = DriverManager.getConnection(
IoTDB 提供了树转表功能,如下图所示:
-
+
该功能支持通过创建表视图的方式,将已存在的树模型数据转化为表视图,进而通过表视图进行查询,实现了对同一份数据的树模型和表模型协同处理。更详细的功能介绍可参考[树转表视图](../User-Manual/Tree-to-Table_apache.md),需要注意的是:**创建树转表视图的 SQL 语句只允许在表模型下执行**。
@@ -274,7 +274,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如场景中不同类型的设备具备不同的层级路径和测点集合,可以在数据库节点下按设备类型创建分支。每种设备下可以有不同的测点结构。
-

+
##### 3.1.3.2 如果场景中没有设备,只有测点,如何建模?
@@ -282,7 +282,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如场站的监控系统中,每个测点都有唯一编号,但无法对应到某些设备。
-

+
##### 3.1.3.3 如果在一个设备下,既有子设备,也有测点,如何建模?
@@ -290,7 +290,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如在储能场景中,每一层结构都要监控其电压和电流,可以采用如下建模方式。
-

+
@@ -326,7 +326,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 即使设备之间有联系,或有层级关系,也推荐为每一类设备建一张表。
-

+
##### 3.2.3.2 如果没有设备标识列和属性列,如何建模?
@@ -334,7 +334,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 列数没有数量限制,可以达到数十万以上。
-

+
##### 3.2.3.3 如果在一个设备下,既有子设备,也有测点,如何建模?
@@ -342,5 +342,5 @@ IoTDB 提供了树转表功能,如下图所示:
- 每个设备有多个子设备及测点信息,推荐为每类设备建一个表进行管理。
-

+
diff --git a/src/zh/UserGuide/Master/Table/Background-knowledge/Data-Model-and-Terminology_timecho.md b/src/zh/UserGuide/Master/Table/Background-knowledge/Data-Model-and-Terminology_timecho.md
index 4bd0c054a..8f41796cf 100644
--- a/src/zh/UserGuide/Master/Table/Background-knowledge/Data-Model-and-Terminology_timecho.md
+++ b/src/zh/UserGuide/Master/Table/Background-knowledge/Data-Model-and-Terminology_timecho.md
@@ -235,7 +235,7 @@ Connection connection = DriverManager.getConnection(
IoTDB 提供了树转表功能,如下图所示:
-
+
该功能支持通过创建表视图的方式,将已存在的树模型数据转化为表视图,进而通过表视图进行查询,实现了对同一份数据的树模型和表模型协同处理。更详细的功能介绍可参考[树转表视图](../User-Manual/Tree-to-Table_timecho.md),需要注意的是:**创建树转表视图的 SQL 语句只允许在表模型下执行**。
@@ -275,7 +275,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如场景中不同类型的设备具备不同的层级路径和测点集合,可以在数据库节点下按设备类型创建分支。每种设备下可以有不同的测点结构。
-

+
##### 3.1.3.2 如果场景中没有设备,只有测点,如何建模?
@@ -283,7 +283,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如场站的监控系统中,每个测点都有唯一编号,但无法对应到某些设备。
-

+
##### 3.1.3.3 如果在一个设备下,既有子设备,也有测点,如何建模?
@@ -291,7 +291,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如在储能场景中,每一层结构都要监控其电压和电流,可以采用如下建模方式。
-

+
@@ -327,7 +327,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 即使设备之间有联系,或有层级关系,也推荐为每一类设备建一张表。
-

+
##### 3.2.3.2 如果没有设备标识列和属性列,如何建模?
@@ -335,7 +335,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 列数没有数量限制,可以达到数十万以上。
-

+
##### 3.2.3.3 如果在一个设备下,既有子设备,也有测点,如何建模?
@@ -343,7 +343,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 每个设备有多个子设备及测点信息,推荐为每类设备建一个表进行管理。
-

+
### 3.3 场景三:双模型结合
@@ -367,7 +367,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 表视图:为每种类型的设备建立一张表视图,每个表视图具有不同的标签和测点集合。
-

+
##### 3.3.2.2 如果没有设备标识列和属性列,如何建模?
@@ -377,7 +377,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 表视图:将所有测点放入一张表中,测点列数没有数量限制,可以达到数十万以上。若测点具有相同的数据类型,可将测点作为同一类设备。
-

+
##### 3.3.2.3 如果在一个设备下,既有子设备,也有测点,如何建模?
@@ -387,5 +387,5 @@ IoTDB 提供了树转表功能,如下图所示:
- 表视图:按照设备分类,建立多个表对每一层结构信息进行管理。
-

+
diff --git a/src/zh/UserGuide/Master/Tree/Background-knowledge/Data-Model-and-Terminology_apache.md b/src/zh/UserGuide/Master/Tree/Background-knowledge/Data-Model-and-Terminology_apache.md
index fb63d7fe8..911a612f9 100644
--- a/src/zh/UserGuide/Master/Tree/Background-knowledge/Data-Model-and-Terminology_apache.md
+++ b/src/zh/UserGuide/Master/Tree/Background-knowledge/Data-Model-and-Terminology_apache.md
@@ -238,7 +238,7 @@ Connection connection = DriverManager.getConnection(
IoTDB 提供了树转表功能,如下图所示:
-
+
该功能支持通过创建表视图的方式,将已存在的树模型数据转化为表视图,进而通过表视图进行查询,实现了对同一份数据的树模型和表模型协同处理。更详细的功能介绍可参考[树转表视图](../../latest-Table/User-Manual/Tree-to-Table_apache.md),需要注意的是:**创建树转表视图的 SQL 语句只允许在表模型下执行**。
@@ -278,7 +278,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如场景中不同类型的设备具备不同的层级路径和测点集合,可以在数据库节点下按设备类型创建分支。每种设备下可以有不同的测点结构。
-

+
##### 3.1.3.2 如果场景中没有设备,只有测点,如何建模?
@@ -286,7 +286,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如场站的监控系统中,每个测点都有唯一编号,但无法对应到某些设备。
-

+
##### 3.1.3.3 如果在一个设备下,既有子设备,也有测点,如何建模?
@@ -294,7 +294,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如在储能场景中,每一层结构都要监控其电压和电流,可以采用如下建模方式。
-

+
@@ -330,7 +330,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 即使设备之间有联系,或有层级关系,也推荐为每一类设备建一张表。
-

+
##### 3.2.3.2 如果没有设备标识列和属性列,如何建模?
@@ -338,7 +338,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 列数没有数量限制,可以达到数十万以上。
-

+
##### 3.2.3.3 如果在一个设备下,既有子设备,也有测点,如何建模?
@@ -346,5 +346,5 @@ IoTDB 提供了树转表功能,如下图所示:
- 每个设备有多个子设备及测点信息,推荐为每类设备建一个表进行管理。
-

+
diff --git a/src/zh/UserGuide/Master/Tree/Background-knowledge/Data-Model-and-Terminology_timecho.md b/src/zh/UserGuide/Master/Tree/Background-knowledge/Data-Model-and-Terminology_timecho.md
index c56987874..c2787485d 100644
--- a/src/zh/UserGuide/Master/Tree/Background-knowledge/Data-Model-and-Terminology_timecho.md
+++ b/src/zh/UserGuide/Master/Tree/Background-knowledge/Data-Model-and-Terminology_timecho.md
@@ -238,7 +238,7 @@ Connection connection = DriverManager.getConnection(
IoTDB 提供了树转表功能,如下图所示:
-
+
该功能支持通过创建表视图的方式,将已存在的树模型数据转化为表视图,进而通过表视图进行查询,实现了对同一份数据的树模型和表模型协同处理。更详细的功能介绍可参考[树转表视图](../../latest-Table/User-Manual/Tree-to-Table_timecho.md),需要注意的是:**创建树转表视图的 SQL 语句只允许在表模型下执行**。
@@ -279,7 +279,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如场景中不同类型的设备具备不同的层级路径和测点集合,可以在数据库节点下按设备类型创建分支。每种设备下可以有不同的测点结构。
-

+
##### 3.1.3.2 如果场景中没有设备,只有测点,如何建模?
@@ -287,7 +287,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如场站的监控系统中,每个测点都有唯一编号,但无法对应到某些设备。
-

+
##### 3.1.3.3 如果在一个设备下,既有子设备,也有测点,如何建模?
@@ -295,7 +295,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如在储能场景中,每一层结构都要监控其电压和电流,可以采用如下建模方式。
-

+
@@ -331,7 +331,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 即使设备之间有联系,或有层级关系,也推荐为每一类设备建一张表。
-

+
##### 3.2.3.2 如果没有设备标识列和属性列,如何建模?
@@ -339,7 +339,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 列数没有数量限制,可以达到数十万以上。
-

+
##### 3.2.3.3 如果在一个设备下,既有子设备,也有测点,如何建模?
@@ -347,7 +347,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 每个设备有多个子设备及测点信息,推荐为每类设备建一个表进行管理。
-

+
### 3.3 场景三:双模型结合
@@ -371,7 +371,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 表视图:为每种类型的设备建立一张表视图,每个表视图具有不同的标签和测点集合。
-

+
##### 3.3.2.2 如果没有设备标识列和属性列,如何建模?
@@ -381,7 +381,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 表视图:将所有测点放入一张表中,测点列数没有数量限制,可以达到数十万以上。若测点具有相同的数据类型,可将测点作为同一类设备。
-

+
##### 3.3.2.3 如果在一个设备下,既有子设备,也有测点,如何建模?
@@ -391,5 +391,5 @@ IoTDB 提供了树转表功能,如下图所示:
- 表视图:按照设备分类,建立多个表对每一层结构信息进行管理。
-

+
diff --git a/src/zh/UserGuide/latest-Table/Background-knowledge/Data-Model-and-Terminology_apache.md b/src/zh/UserGuide/latest-Table/Background-knowledge/Data-Model-and-Terminology_apache.md
index c951dcf63..594884a24 100644
--- a/src/zh/UserGuide/latest-Table/Background-knowledge/Data-Model-and-Terminology_apache.md
+++ b/src/zh/UserGuide/latest-Table/Background-knowledge/Data-Model-and-Terminology_apache.md
@@ -235,7 +235,7 @@ Connection connection = DriverManager.getConnection(
IoTDB 提供了树转表功能,如下图所示:
-
+
该功能支持通过创建表视图的方式,将已存在的树模型数据转化为表视图,进而通过表视图进行查询,实现了对同一份数据的树模型和表模型协同处理。更详细的功能介绍可参考[树转表视图](../User-Manual/Tree-to-Table_apache.md),需要注意的是:**创建树转表视图的 SQL 语句只允许在表模型下执行**。
@@ -274,7 +274,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如场景中不同类型的设备具备不同的层级路径和测点集合,可以在数据库节点下按设备类型创建分支。每种设备下可以有不同的测点结构。
-

+
##### 3.1.3.2 如果场景中没有设备,只有测点,如何建模?
@@ -282,7 +282,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如场站的监控系统中,每个测点都有唯一编号,但无法对应到某些设备。
-

+
##### 3.1.3.3 如果在一个设备下,既有子设备,也有测点,如何建模?
@@ -290,7 +290,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如在储能场景中,每一层结构都要监控其电压和电流,可以采用如下建模方式。
-

+
@@ -326,7 +326,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 即使设备之间有联系,或有层级关系,也推荐为每一类设备建一张表。
-

+
##### 3.2.3.2 如果没有设备标识列和属性列,如何建模?
@@ -334,7 +334,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 列数没有数量限制,可以达到数十万以上。
-

+
##### 3.2.3.3 如果在一个设备下,既有子设备,也有测点,如何建模?
@@ -342,5 +342,5 @@ IoTDB 提供了树转表功能,如下图所示:
- 每个设备有多个子设备及测点信息,推荐为每类设备建一个表进行管理。
-

+
diff --git a/src/zh/UserGuide/latest-Table/Background-knowledge/Data-Model-and-Terminology_timecho.md b/src/zh/UserGuide/latest-Table/Background-knowledge/Data-Model-and-Terminology_timecho.md
index 4bd0c054a..8f41796cf 100644
--- a/src/zh/UserGuide/latest-Table/Background-knowledge/Data-Model-and-Terminology_timecho.md
+++ b/src/zh/UserGuide/latest-Table/Background-knowledge/Data-Model-and-Terminology_timecho.md
@@ -235,7 +235,7 @@ Connection connection = DriverManager.getConnection(
IoTDB 提供了树转表功能,如下图所示:
-
+
该功能支持通过创建表视图的方式,将已存在的树模型数据转化为表视图,进而通过表视图进行查询,实现了对同一份数据的树模型和表模型协同处理。更详细的功能介绍可参考[树转表视图](../User-Manual/Tree-to-Table_timecho.md),需要注意的是:**创建树转表视图的 SQL 语句只允许在表模型下执行**。
@@ -275,7 +275,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如场景中不同类型的设备具备不同的层级路径和测点集合,可以在数据库节点下按设备类型创建分支。每种设备下可以有不同的测点结构。
-

+
##### 3.1.3.2 如果场景中没有设备,只有测点,如何建模?
@@ -283,7 +283,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如场站的监控系统中,每个测点都有唯一编号,但无法对应到某些设备。
-

+
##### 3.1.3.3 如果在一个设备下,既有子设备,也有测点,如何建模?
@@ -291,7 +291,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如在储能场景中,每一层结构都要监控其电压和电流,可以采用如下建模方式。
-

+
@@ -327,7 +327,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 即使设备之间有联系,或有层级关系,也推荐为每一类设备建一张表。
-

+
##### 3.2.3.2 如果没有设备标识列和属性列,如何建模?
@@ -335,7 +335,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 列数没有数量限制,可以达到数十万以上。
-

+
##### 3.2.3.3 如果在一个设备下,既有子设备,也有测点,如何建模?
@@ -343,7 +343,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 每个设备有多个子设备及测点信息,推荐为每类设备建一个表进行管理。
-

+
### 3.3 场景三:双模型结合
@@ -367,7 +367,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 表视图:为每种类型的设备建立一张表视图,每个表视图具有不同的标签和测点集合。
-

+
##### 3.3.2.2 如果没有设备标识列和属性列,如何建模?
@@ -377,7 +377,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 表视图:将所有测点放入一张表中,测点列数没有数量限制,可以达到数十万以上。若测点具有相同的数据类型,可将测点作为同一类设备。
-

+
##### 3.3.2.3 如果在一个设备下,既有子设备,也有测点,如何建模?
@@ -387,5 +387,5 @@ IoTDB 提供了树转表功能,如下图所示:
- 表视图:按照设备分类,建立多个表对每一层结构信息进行管理。
-

+
diff --git a/src/zh/UserGuide/latest/Background-knowledge/Data-Model-and-Terminology_apache.md b/src/zh/UserGuide/latest/Background-knowledge/Data-Model-and-Terminology_apache.md
index fb63d7fe8..911a612f9 100644
--- a/src/zh/UserGuide/latest/Background-knowledge/Data-Model-and-Terminology_apache.md
+++ b/src/zh/UserGuide/latest/Background-knowledge/Data-Model-and-Terminology_apache.md
@@ -238,7 +238,7 @@ Connection connection = DriverManager.getConnection(
IoTDB 提供了树转表功能,如下图所示:
-
+
该功能支持通过创建表视图的方式,将已存在的树模型数据转化为表视图,进而通过表视图进行查询,实现了对同一份数据的树模型和表模型协同处理。更详细的功能介绍可参考[树转表视图](../../latest-Table/User-Manual/Tree-to-Table_apache.md),需要注意的是:**创建树转表视图的 SQL 语句只允许在表模型下执行**。
@@ -278,7 +278,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如场景中不同类型的设备具备不同的层级路径和测点集合,可以在数据库节点下按设备类型创建分支。每种设备下可以有不同的测点结构。
-

+
##### 3.1.3.2 如果场景中没有设备,只有测点,如何建模?
@@ -286,7 +286,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如场站的监控系统中,每个测点都有唯一编号,但无法对应到某些设备。
-

+
##### 3.1.3.3 如果在一个设备下,既有子设备,也有测点,如何建模?
@@ -294,7 +294,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如在储能场景中,每一层结构都要监控其电压和电流,可以采用如下建模方式。
-

+
@@ -330,7 +330,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 即使设备之间有联系,或有层级关系,也推荐为每一类设备建一张表。
-

+
##### 3.2.3.2 如果没有设备标识列和属性列,如何建模?
@@ -338,7 +338,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 列数没有数量限制,可以达到数十万以上。
-

+
##### 3.2.3.3 如果在一个设备下,既有子设备,也有测点,如何建模?
@@ -346,5 +346,5 @@ IoTDB 提供了树转表功能,如下图所示:
- 每个设备有多个子设备及测点信息,推荐为每类设备建一个表进行管理。
-

+
diff --git a/src/zh/UserGuide/latest/Background-knowledge/Data-Model-and-Terminology_timecho.md b/src/zh/UserGuide/latest/Background-knowledge/Data-Model-and-Terminology_timecho.md
index c56987874..c2787485d 100644
--- a/src/zh/UserGuide/latest/Background-knowledge/Data-Model-and-Terminology_timecho.md
+++ b/src/zh/UserGuide/latest/Background-knowledge/Data-Model-and-Terminology_timecho.md
@@ -238,7 +238,7 @@ Connection connection = DriverManager.getConnection(
IoTDB 提供了树转表功能,如下图所示:
-
+
该功能支持通过创建表视图的方式,将已存在的树模型数据转化为表视图,进而通过表视图进行查询,实现了对同一份数据的树模型和表模型协同处理。更详细的功能介绍可参考[树转表视图](../../latest-Table/User-Manual/Tree-to-Table_timecho.md),需要注意的是:**创建树转表视图的 SQL 语句只允许在表模型下执行**。
@@ -279,7 +279,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如场景中不同类型的设备具备不同的层级路径和测点集合,可以在数据库节点下按设备类型创建分支。每种设备下可以有不同的测点结构。
-

+
##### 3.1.3.2 如果场景中没有设备,只有测点,如何建模?
@@ -287,7 +287,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如场站的监控系统中,每个测点都有唯一编号,但无法对应到某些设备。
-

+
##### 3.1.3.3 如果在一个设备下,既有子设备,也有测点,如何建模?
@@ -295,7 +295,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 如在储能场景中,每一层结构都要监控其电压和电流,可以采用如下建模方式。
-

+
@@ -331,7 +331,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 即使设备之间有联系,或有层级关系,也推荐为每一类设备建一张表。
-

+
##### 3.2.3.2 如果没有设备标识列和属性列,如何建模?
@@ -339,7 +339,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 列数没有数量限制,可以达到数十万以上。
-

+
##### 3.2.3.3 如果在一个设备下,既有子设备,也有测点,如何建模?
@@ -347,7 +347,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 每个设备有多个子设备及测点信息,推荐为每类设备建一个表进行管理。
-

+
### 3.3 场景三:双模型结合
@@ -371,7 +371,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 表视图:为每种类型的设备建立一张表视图,每个表视图具有不同的标签和测点集合。
-

+
##### 3.3.2.2 如果没有设备标识列和属性列,如何建模?
@@ -381,7 +381,7 @@ IoTDB 提供了树转表功能,如下图所示:
- 表视图:将所有测点放入一张表中,测点列数没有数量限制,可以达到数十万以上。若测点具有相同的数据类型,可将测点作为同一类设备。
-

+
##### 3.3.2.3 如果在一个设备下,既有子设备,也有测点,如何建模?
@@ -391,5 +391,5 @@ IoTDB 提供了树转表功能,如下图所示:
- 表视图:按照设备分类,建立多个表对每一层结构信息进行管理。
-

+