Database Connectivity with R Programming
Last Updated :
12 Jul, 2025
The database is a collection of organized information so that it can be accessed with ease. It can be accessed or stored at the computer system. It can be managed through a Database management system (DBMS), which is a software that is used to manage data. Database refers to related data which is in a structured form.
It supports the storage and manipulation of data. Basically a database is having 5 sublanguages:
- Data Definition Language(DDL)
- Data Query Language(DQL)
- Data Manipulation Language(DML)
- Data Control Language(DCL)
- Transaction Control Language(TCL)
To connect Database with R Programming we will be going to connect R script with MySQL Database.
To install MYSql refer to its official site
dev.mysql.com
To begin with the connection process, follow the steps given below:
Step 1: Create a database in MySQL with the following command:
create database databasename;

As you can see in this image we have used the commands to access the database and moreover performed the DML operations in the database.
Step 2: To connect the database with R we can use R Studio. To download R Studio visit
rstudio.com
Step 3: Use the following command to install the MySQL library in RStudio:
install.packages("RMySQL")
Now execute the following commands as RScript:
Python3
#To check whether the library is installed or not
library(RMySQL)
# Create a connection Object to MySQL database.
mysqlconnection = dbConnect(MySQL(), user = 'root',
password = 'root',
dbname = 'onlinetutorials', host = 'localhost')
typeof(mys)
# List the tables available in this database.
dbListTables(mysqlconnection)
# Query the "actor" tables to get all the rows.
a = dbSendQuery(mysqlconnection,
"create table students(id int, name varchar(10))")
a = dbSendQuery(mysqlconnection,
"insert into students values(101, 'amit')")
a = dbSendQuery(mysqlconnection,
"insert into students values(102, 'aman')")
result = dbSendQuery(mysqlconnection,
"select * from students")
# Store the result in a R data frame object.
# n = 5 is used to fetch first 5 rows.
data.frame = fetch(result)
print(data.frame)
Output: