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Access MariaDB data with pure R script and standard SQL on any machine where R and Java can be installed. You can use the CData JDBC Driver for MariaDB and the RJDBC package to work with remote MariaDB data in R. By using the CData Driver, you are leveraging a driver written for industry-proven standards to access your data in the popular, open-source R language. This article shows how to use the driver to execute SQL queries to MariaDB and visualize MariaDB data by calling standard R functions.
You can match the driver's performance gains from multi-threading and managed code by running the multithreaded Microsoft R Open or by running open R linked with the BLAS/LAPACK libraries. This article uses Microsoft R Open 3.2.3, which is preconfigured to install packages from the Jan. 1, 2016 snapshot of the CRAN repository. This snapshot ensures reproducibility.
To use the driver, download the RJDBC package. After installing the RJDBC package, the following line loads the package:
library(RJDBC)
You will need the following information to connect to MariaDB as a JDBC data source:
The DBI functions, such as dbConnect and dbSendQuery, provide a unified interface for writing data access code in R. Use the following line to initialize a DBI driver that can make JDBC requests to the CData JDBC Driver for MariaDB:
driver <- JDBC(driverClass = "cdata.jdbc.mariadb.MariaDBDriver", classPath = "MyInstallationDir\lib\cdata.jdbc.mariadb.jar", identifier.quote = "'")
You can now use DBI functions to connect to MariaDB and execute SQL queries. Initialize the JDBC connection with the dbConnect function.
The Server and Port properties must be set to a MariaDB server. If IntegratedSecurity is set to false, then User and Password must be set to valid user credentials. Optionally, Database can be set to connect to a specific database. If not set, the tables from all databases are reported.
For assistance in constructing the JDBC URL, use the connection string designer built into the MariaDB JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.mariadb.jar
Fill in the connection properties and copy the connection string to the clipboard.
👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)Below is a sample dbConnect call, including a typical JDBC connection string:
conn <- dbConnect(driver,"jdbc:mariadb:User=myUser;Password=myPassword;Database=NorthWind;Server=myServer;Port=3306;")
The driver models MariaDB APIs as relational tables, views, and stored procedures. Use the following line to retrieve the list of tables:
dbListTables(conn)
You can use the dbGetQuery function to execute any SQL query supported by the MariaDB API:
orders <- dbGetQuery(conn,"SELECT ShipName, ShipCity FROM Orders")
You can view the results in a data viewer window with the following command:
View(orders)
You can now analyze MariaDB data with any of the data visualization packages available in the CRAN repository. You can create simple bar plots with the built-in bar plot function:
par(las=2,ps=10,mar=c(5,15,4,2)) barplot(orders$ShipCity, main="MariaDB Orders", names.arg = orders$ShipName, horiz=TRUE)👁 A basic bar plot. (Salesforce is shown.)
Download a free trial of the MariaDB Driver to get started:
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