docs: recommend to turn on new_naming for vector

docs/greptimecloud/getting-started/vector.md

@@ -5,7 +5,7 @@ description: Instructions on creating a service, writing data using Vector, and
 # Vector
 
 ## Create Service
-import Includecreateservice from './create-service.md' 
+import Includecreateservice from './create-service.md'
 
 <Includecreateservice/>
 
@@ -21,10 +21,12 @@ scrape_interval_secs = 30
 [sinks.greptime]
 inputs = ["in"]
 type = "greptimedb"
-endpoint = "<host>:4001"
+endpoint = "<host>:5001"
 dbname = "<dbname>"
 username = "<username>"
 password = "<password>"
+new_naming = true
+tls = {}
 ```
 
 Then start vector with the specified configuration file:
@@ -34,6 +36,6 @@ vector --config vector.toml
 ```
 
 ## Visualize Data
-import Includevisualizedata from './visualize-data.md' 
+import Includevisualizedata from './visualize-data.md'
 
 <Includevisualizedata/>

docs/greptimecloud/integrations/vector.md

@@ -26,6 +26,7 @@ dbname = "<dbname>"
 username = "<username>"
 password = "<password>"
 tls = {}
+new_naming = true
 
 ## logs
 [sources.logs_in]

docs/user-guide/ingest-data/for-observerbility/vector.md

@@ -2,7 +2,7 @@
 description: Instructions for integrating Vector with GreptimeDB, including configuration, data model mapping, and example configurations.
 ---
 
-import DocTemplate from '../../../db-cloud-shared/clients/vector-integration.md' 
+import DocTemplate from '../../../db-cloud-shared/clients/vector-integration.md'
 
 
 # Vector
@@ -28,6 +28,7 @@ endpoint = "<host>:4001"
 dbname = "<dbname>"
 username = "<username>"
 password = "<password>"
+new_naming = true
 ```
 
 GreptimeDB uses gRPC to communicate with Vector, so the default port for the Vector sink is `4001`.

i18n/zh/docusaurus-plugin-content-docs/current/greptimecloud/getting-started/vector.md

@@ -5,7 +5,7 @@ description: 介绍如何使用 Vector 收集系统指标数据并将其发送
 # Vector
 
 ## 创建服务
-import Includecreateservice from './create-service.md' 
+import Includecreateservice from './create-service.md'
 
 <Includecreateservice/>
 
@@ -21,10 +21,12 @@ scrape_interval_secs = 30
 [sinks.cloud]
 inputs = ["in"]
 type = "greptimedb"
-endpoint = "<host>:4001"
+endpoint = "<host>:5001"
 dbname = "<dbname>"
 username = "<username>"
 password = "<password>"
+tls = {}
+new_naming = true
 ```
 
 然后使用配置文件启动 Vector：
@@ -34,6 +36,6 @@ vector --config vector.toml
 ```
 
 ## 数据可视化
-import Includevisualizedata from './visualize-data.md' 
+import Includevisualizedata from './visualize-data.md'
 
 <Includevisualizedata/>

i18n/zh/docusaurus-plugin-content-docs/current/greptimecloud/integrations/vector.md

@@ -27,6 +27,7 @@ dbname = "<dbname>"
 username = "<username>"
 password = "<password>"
 tls = {}
+new_naming = true
 
 ## logs
 [sources.logs_in]

i18n/zh/docusaurus-plugin-content-docs/current/user-guide/ingest-data/for-observerbility/vector.md

@@ -2,7 +2,7 @@
 description: 介绍如何使用 Vector 将数据写入 GreptimeDB，包括最小配置示例和数据模型的映射规则。
 ---
 
-import DocTemplate from '../../../db-cloud-shared/clients/vector-integration.md' 
+import DocTemplate from '../../../db-cloud-shared/clients/vector-integration.md'
 
 
 # Vector
@@ -30,6 +30,7 @@ endpoint = "<host>:4001"
 dbname = "<dbname>"
 username = "<username>"
 password = "<password>"
+new_naming = true
 ```
 
 GreptimeDB 使用 gRPC 与 Vector 进行通信，因此 Vector sink 的默认端口是 `4001`。