[Doc] add the ports that need to be opened in connectors docs (backport #44154)

docs/en/loading/Flink-connector-starrocks.md

@@ -256,6 +256,10 @@ DISTRIBUTED BY HASH(`id`);
     ./bin/start-cluster.sh
     ```
 
+#### Network configuration
+
+Ensure that the machine where Flink is located can access the machine where the FE or FEs in a StarRocks cluster are located through the [`http_port`](../administration/management/FE_configuration.md#http_port) and [`query_port`](../administration/management/FE_configuration.md#query_port), and access the machines where the BEs in a StarRocks cluster are located through the [`http_port`](../administration/management/BE_configuration.md#be_http_port).
+
 ### Run with Flink SQL
 
 - Run the following command to start a Flink SQL client.

docs/en/loading/Kafka-connector-starrocks.md

@@ -35,6 +35,10 @@ Submit the Kafka connector into Kafka Connect:
 
   Currently, the Kafka connector is not uploaded to Confluent Hub. You need to download and extract [starrocks-kafka-connector-xxx.tar.gz](https://github.com/StarRocks/starrocks-connector-for-kafka/releases), package it into a ZIP file and upload the ZIP file to Confluent Cloud.
 
+### Network configuration
+
+Ensure that the machine where Kafka is located can access the machine where the FE or FEs in a StarRocks cluster are located through the [`http_port`](../administration/management/FE_configuration.md#http_port) and [`query_port`](../administration/management/FE_configuration.md#query_port), and access the machines where the BEs in a StarRocks cluster are located through the [`http_port`](../administration/management/BE_configuration.md#be_http_port).
+
 ## Usage
 
 This section uses a self-managed Kafka cluster as an example to explain how to configure the Kafka connector and the Kafka Connect, and then run the Kafka Connect to load data into StarRocks.

docs/en/loading/Spark-connector-starrocks.md

@@ -177,6 +177,10 @@ COMMENT "OLAP"
 DISTRIBUTED BY HASH(`id`);
 ```
 
+#### Network configuration
+
+Ensure that the machine where Spark is located can access the machine where the FE or FEs in a StarRocks cluster are located through the [`http_port`](../administration/management/FE_configuration.md#http_port) and [`query_port`](../administration/management/FE_configuration.md#query_port), and access the machines where the BEs in a StarRocks cluster are located through the [`http_port`](../administration/management/BE_configuration.md#be_http_port).
+
 #### Set up your Spark environment
 
 Note that the following examples are run in Spark 3.2.4 and use `spark-shell`, `pyspark` and `spark-sql`. Before running the examples, make sure to place the Spark connector JAR file in the `$SPARK_HOME/jars` directory.

docs/en/unloading/Flink_connector.md

@@ -85,19 +85,23 @@ You can also deploy Flink by following the instructions provided in [Flink docum
 
 ## Before you begin
 
+### Deploy the Flink connector
+
 Follow these steps to deploy the Flink connector:
 
-1. Select and download the [flink-connector-starrocks](https://github.com/StarRocks/flink-connector-starrocks/releases) JAR package matching the Flink version that you are using.
+1. Select and download the [flink-connector-starrocks](https://github.com/StarRocks/flink-connector-starrocks/releases) JAR package matching the Flink version that you are using. If code debugging is needed, compile the Flink connector package to suit your business requirements.
 
    > **NOTICE**
    >
    > We recommend that you download the Flink connector package whose version is 1.2.x or later and whose matching Flink version has the same first two digits as the Flink version that you are using. For example, if you use Flink v1.14.x, you can download `flink-connector-starrocks-1.2.4_flink-1.14_x.yy.jar`.
 
-2. If code debugging is needed, compile the Flink connector package to suit your business requirements.
+2. Place the Flink connector package you downloaded or compiled into the `lib` directory of Flink.
+
+3. Restart your Flink cluster.
 
-3. Place the Flink connector package you downloaded or compiled into the `lib` directory of Flink.
+### Network configuration
 
-4. Restart your Flink cluster.
+Ensure that the machine where Flink is located can access the machine where the FE or FEs in a StarRocks cluster are located through the [`http_port`](../administration/management/FE_configuration.md#http_port) and [`query_port`](../administration/management/FE_configuration.md#query_port), and access the machines where the BEs in a StarRocks cluster are located through the [`http_port`](../administration/management/BE_configuration.md#be_http_port).
 
 ## Parameters
 

docs/en/unloading/Spark_connector.md

@@ -270,6 +270,10 @@ The processing logic of the underlying storage engine used by StarRocks cannot c
 
 The following examples assume you have created a database named `test` in your StarRocks cluster and you have the permissions of user `root`. The parameter settings in the examples are based on Spark Connector 1.1.0.
 
+### Network configuration
+
+Ensure that the machine where Spark is located can access the machine where the FE or FEs in a StarRocks cluster are located through the [`http_port`](../administration/management/FE_configuration.md#http_port) and [`query_port`](../administration/management/FE_configuration.md#query_port), and access the machines where the BEs in a StarRocks cluster are located through the [`http_port`](../administration/management/BE_configuration.md#be_http_port).
+
 ### Data example
 
 Do as follows to prepare a sample table:

docs/zh/loading/Flink-connector-starrocks.md

@@ -235,6 +235,10 @@ DISTRIBUTED BY HASH(id);
     ./bin/start-cluster.sh
     ```
 
+#### 网络配置
+
+确保 Flink 所在机器能够访问 StarRocks 集群中 FE 所在机器的 [`http_port`](../administration/management/FE_configuration.md#http_port) 和 [`query_port`](../administration/management/FE_configuration.md#query_port) 端口，以及 BE 所在机器的 [`http_port`](../administration/management/BE_configuration.md#be_http_port) 端口。
+
 ### 使用 Flink SQL 写入数据
 
 - 运行以下命令以启动 Flink SQL 客户端。

docs/zh/loading/Kafka-connector-starrocks.md

@@ -35,6 +35,10 @@ StarRocks 提供 Apache Kafka® 连接器 (StarRocks Connector for Apache Kafka
 
   Kafka connector 目前尚未上传到 Confluent Hub，您需要下载并解压 [starrocks-kafka-connector-xxx.tar.gz](https://github.com/StarRocks/starrocks-connector-for-kafka/releases) ，打包成 ZIP 文件并上传到 Confluent Cloud。
 
+### 网络配置
+
+确保 Kafka 所在机器能够访问 StarRocks 集群中 FE 所在机器的 [`http_port`](../administration/management/FE_configuration.md#http_port) 和 [`query_port`](../administration/management/FE_configuration.md#query_port) 端口，以及 BE 所在机器的 [`http_port`](../administration/management/BE_configuration.md#be_http_port) 端口。
+
 ## 使用示例
 
 本文以自建 Kafka 集群为例，介绍如何配置 Kafka connector 和 Kafka connect，然后启动 Kafka Connect 导入数据至 StarRocks。

docs/zh/loading/Spark-connector-starrocks.md

@@ -182,6 +182,10 @@ DISTRIBUTED BY HASH(`id`)
 
 示例基于 Spark 3.2.4，使用 `spark-shell`，`pyspark` 和 `spark-sql` 进行演示，运行前请将 connector jar放置在 `$SPARK_HOME/jars` 目录下。
 
+#### 网络配置
+
+确保 Spark 所在机器能够访问 StarRocks 集群中 FE 所在机器的 [`http_port`](../administration/management/FE_configuration.md#http_port) 和 [`query_port`](../administration/management/FE_configuration.md#query_port) 端口，以及 BE 所在机器的 [`http_port`](../administration/management/BE_configuration.md#be_http_port) 端口。
+
 ### 使用 Spark DataFrame 写入数据
 
 下面分别介绍在 Batch 和 Structured Streaming 下如何写入数据。

docs/zh/unloading/Flink_connector.md

@@ -85,19 +85,23 @@ Flink Connector 支持两种数据读取方式：Flink SQL 和 Flink DataStream
 
 ## 准备工作
 
+### 部署 Flink Connector
+
 通过如下步骤完成 Flink Connector 的部署：
 
-1. 根据 Flink 的版本，选择和下载对应版本的 [flink-connector-starrocks](https://github.com/StarRocks/flink-connector-starrocks/releases) JAR 包。
+1. 根据 Flink 的版本，选择和下载对应版本的 [flink-connector-starrocks](https://github.com/StarRocks/flink-connector-starrocks/releases) JAR 包。如需调试代码，可选择对应分支代码自行编译。
 
    > **注意**
    >
    > 推荐您下载 Flink Connector 版本在 1.2.x 及以上、并且配套的 Flink 版本与您的业务环境中安装的 Flink 版本前两位一致的 JAR 包。例如，如果您的业务环境中安装的 Flink 版本为 1.14.x，可以下载 `flink-connector-starrocks-1.2.4_flink-1.14_x.yy.jar`。
 
-2. 如需调试代码，可选择对应分支代码自行编译。
+2. 将下载或者编译的 JAR 包放在 Flink 的 `lib` 目录中。
+
+3. 重启 Flink。
 
-3. 将下载或者编译的 JAR 包放在 Flink 的 `lib` 目录中。
+### 网络设置
 
-4. 重启 Flink。
+确保 Flink 所在机器能够访问 StarRocks 集群中 FE 所在机器的 [`http_port`](../administration/management/FE_configuration.md#http_port) 和 [`query_port`](../administration/management/FE_configuration.md#query_port) 端口，以及 BE 所在机器的 [`http_port`](../administration/management/BE_configuration.md#be_http_port) 端口。
 
 ## 参数说明
 

docs/zh/unloading/Spark_connector.md

@@ -265,6 +265,10 @@ Spark Connector 中，将 DATE 和 DATETIME 数据类型映射为 STRING 数据
 
 假设您的 StarRocks 集群中已创建数据库 `test`，并且您拥有 `root` 账号权限。示例的参数配置基于 Spark Connector 1.1.0 版本。
 
+### 网络设置
+
+确保 Spark 所在机器能够访问 StarRocks 集群中 FE 所在机器的 [`http_port`](../administration/management/FE_configuration.md#http_port) 和 [`query_port`](../administration/management/FE_configuration.md#query_port) 端口，以及 BE 所在机器的 [`http_port`](../administration/management/BE_configuration.md#be_http_port) 端口。
+
 ### 数据样例
 
 执行如下步骤，准备数据样例：