docs: add r language to connector (#22286)

* docs: add r language to connector

* docs: add r lang english version in connector

* docs: fix include path and note format

* Update 60-r-lang.mdx

minor changes

---------
Co-authored-by: Ndanielclow <106956386+danielclow@users.noreply.github.com>

docs/en/14-reference/03-connector/60-r-lang.mdx

+---
+toc_max_heading_level: 4
+sidebar_label: R
+title: R Language Connector
+---
+
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+import Rdemo from "../../07-develop/01-connect/_connect_r.mdx"
+
+By using the RJDBC library in R, you can enable R programs to access TDengine data. Here are the installation process, configuration steps, and an example code in R.
+
+## Installation Process
+
+Before getting started, make sure you have installed the R language environment. Then, follow these steps to install and configure the RJDBC library:
+
+1. Install Java Development Kit (JDK): RJDBC library requires Java environment. Download the appropriate JDK for your operating system from the official Oracle website and follow the installation guide.
+
+2. Install the RJDBC library: Execute the following command in the R console to install the RJDBC library.
+
+```r
+install.packages("RJDBC", repos='http://cran.us.r-project.org')
+```
+
+:::note
+On Linux systems, installing the RJDBC package may require installing the necessary components for compilation. For example, on Ubuntu, you can execute the command ``apt install -y libbz2-dev libpcre2-dev libicu-dev`` to install the required components.
+On Windows systems, you need to set the **JAVA_HOME** environment variable.
+:::
+
+3. Download the TDengine JDBC driver: Visit the Maven website and download the TDengine JDBC driver (taos-jdbcdriver-X.X.X-dist.jar) to your local machine.
+
+## Configuration Process
+
+Once you have completed the installation steps, you need to do some configuration to enable the RJDBC library to connect and access the TDengine time-series database.
+
+1. Load the RJDBC library and other necessary libraries in your R script:
+
+```r
+library(DBI)
+library(rJava)
+library(RJDBC)
+```
+
+2. Set the JDBC driver and JDBC URL:
+
+```r
+# Set the JDBC driver path (specify the location on your local machine)
+driverPath <- "/path/to/taos-jdbcdriver-X.X.X-dist.jar"
+
+# Set the JDBC URL (specify the FQDN and credentials of your TDengine cluster)
+url <- "jdbc:TAOS://localhost:6030/?user=root&password=taosdata"
+```
+
+3. Load the JDBC driver:
+
+```r
+# Load the JDBC driver
+drv <- JDBC("com.taosdata.jdbc.TSDBDriver", driverPath)
+```
+
+4. Create a TDengine database connection:
+
+```r
+# Create a database connection
+conn <- dbConnect(drv, url)
+```
+
+5. Once the connection is established, you can use the ``conn`` object for various database operations such as querying data and inserting data.
+
+6. Finally, don't forget to close the database connection after you are done:
+
+```r
+# Close the database connection
+dbDisconnect(conn)
+```
+
+## Example Code Using RJDBC in R
+
+Here's an example code that uses the RJDBC library to connect to a TDengine time-series database and perform a query operation:
+
+<Rdemo/>
+
+Please modify the JDBC driver, JDBC URL, username, password, and SQL query statement according to your specific TDengine time-series database environment and requirements.
+
+By following the steps and using the provided example code, you can use the RJDBC library in the R language to access the TDengine time-series database and perform tasks such as data querying and analysis.

docs/examples/R/connect_native.r

@@ -8,7 +8,7 @@ library("rJava")
 library("RJDBC")
 
 args<- commandArgs(trailingOnly = TRUE)
-driver_path = args[1] # path to jdbc-driver for example: "/root/taos-jdbcdriver-3.0.0-dist.jar"
+driver_path = args[1] # path to jdbc-driver for example: "/root/taos-jdbcdriver-3.2.4-dist.jar"
 driver = JDBC("com.taosdata.jdbc.TSDBDriver", driver_path)
 conn = dbConnect(driver, "jdbc:TAOS://127.0.0.1:6030/?user=root&password=taosdata")
 dbGetQuery(conn, "SELECT server_version()")

docs/examples/R/connect_rest.r

@@ -2,11 +2,15 @@ if (! "RJDBC" %in% installed.packages()[, "Package"]) {
   install.packages('RJDBC', repos='http://cran.us.r-project.org')
 }
 
+# ANCHOR: demo
 library("DBI")
 library("rJava")
 library("RJDBC")
-driver_path = "/home/debug/build/lib/taos-jdbcdriver-2.0.38-dist.jar"
+
+args<- commandArgs(trailingOnly = TRUE)
+driver_path = args[1] # path to jdbc-driver for example: "/root/taos-jdbcdriver-3.2.4-dist.jar"
 driver = JDBC("com.taosdata.jdbc.rs.RestfulDriver", driver_path)
 conn = dbConnect(driver, "jdbc:TAOS-RS://localhost:6041?user=root&password=taosdata")
 dbGetQuery(conn, "SELECT server_version()")
-dbDisconnect(conn)
+dbDisconnect(conn)
\ No newline at end of file
+# ANCHOR_END: demo

docs/zh/08-connector/43-r-lang.mdx

+---
+toc_max_heading_level: 4
+sidebar_label: R
+title: R Language Connector
+---
+
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+import Rdemo from "../07-develop/01-connect/_connect_r.mdx"
+
+通过 R 语言中的 RJDBC 库可以使 R 语言程序支持访问 TDengine 数据。以下是安装过程、配置过程以及 R 语言示例代码。
+
+## 安装过程
+
+在开始之前，请确保已经安装了R语言环境。然后按照以下步骤安装和配置RJDBC库：
+
+1. 安装Java Development Kit (JDK)：RJDBC库需要依赖Java环境。请从Oracle官方网站下载适合您操作系统的JDK，并按照安装指南进行安装。
+
+2. 安装RJDBC库：在R控制台中执行以下命令来安装RJDBC库。
+
+```r
+install.packages("RJDBC", repos='http://cran.us.r-project.org')
+```
+
+:::note
+在 Linux 上安装 RJDBC 包可能需要安装编译需要的组件，以 Ubuntu 为例执行 `apt install -y libbz2-dev libpcre2-dev libicu-dev` 命令安装。
+在 Windows 系统上需要设置 JAVA_HOME 环境变量。
+:::
+
+3. 下载 TDengine JDBC 驱动程序：访问 maven.org 网站，下载 TDengine JDBC 驱动程序（taos-jdbcdriver-X.X.X-dist.jar）。
+
+4. 将 TDengine JDBC 驱动程序放置在适当的位置：在您的计算机上选择一个合适的位置，将 TDengine JDBC 驱动程序文件（taos-jdbcdriver-X.X.X-dist.jar）保存在此处。
+
+## 配置过程
+
+完成了安装步骤后，您需要进行一些配置，以便RJDBC库能够正确连接和访问TDengine时序数据库。
+
+1. 在 R 脚本中加载 RJDBC 和其他必要的库：
+
+```r
+library(DBI)
+library(rJava)
+library(RJDBC)
+```
+
+2. 设置 JDBC 驱动程序和 JDBC URL：
+
+```r
+# 设置JDBC驱动程序路径（根据您实际保存的位置进行修改）
+driverPath <- "/path/to/taos-jdbcdriver-X.X.X-dist.jar"
+
+# 设置JDBC URL（根据您的具体环境进行修改）
+url <- "jdbc:TAOS://localhost:6030/?user=root&password=taosdata"
+```
+
+3. 加载 JDBC 驱动程序：
+
+```r
+# 加载JDBC驱动程序
+drv <- JDBC("com.taosdata.jdbc.TSDBDriver", driverPath)
+```
+
+4. 创建 TDengine 数据库连接：
+
+```r
+# 创建数据库连接
+conn <- dbConnect(drv, url)
+```
+
+5. 连接成功后，您可以使用 conn 对象进行各种数据库操作，如查询数据、插入数据等。
+
+6. 最后，不要忘记在使用完成后关闭数据库连接：
+
+```r
+# 关闭数据库连接
+dbDisconnect(conn)
+```
+
+## 使用 RJDBC 的 R 语言示例代码
+
+以下是一个使用 RJDBC 库连接 TDengine 时序数据库并执行查询操作的示例代码：
+
+<Rdemo/>
+
+请根据您的实际情况修改JDBC驱动程序、JDBC URL、用户名、密码以及SQL查询语句，以适配您的 TDengine 时序数据库环境和要求。
+
+通过以上步骤和示例代码，您可以在 R 语言环境中使用 RJDBC 库访问 TDengine 时序数据库，进行数据查询和分析等操作。