Analyze SingleStore Data in R

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SingleStore JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with SingleStore.



Use standard R functions and the development environment of your choice to analyze SingleStore data with the CData JDBC Driver for SingleStore.

Access SingleStore 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 SingleStore and the RJDBC package to work with remote SingleStore 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 SingleStore and visualize SingleStore data by calling standard R functions.

Install R

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.

Load the RJDBC Package

To use the driver, download the RJDBC package. After installing the RJDBC package, the following line loads the package:

library(RJDBC)

Connect to SingleStore as a JDBC Data Source

You will need the following information to connect to SingleStore as a JDBC data source:

  • Driver Class: Set this to cdata.jdbc.singlestore.SingleStoreDriver
  • Classpath: Set this to the location of the driver JAR. By default this is the lib subfolder of the installation folder.

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 SingleStore:

driver <- JDBC(driverClass = "cdata.jdbc.singlestore.SingleStoreDriver", classPath = "MyInstallationDir\lib\cdata.jdbc.singlestore.jar", identifier.quote = "'")

You can now use DBI functions to connect to SingleStore and execute SQL queries. Initialize the JDBC connection with the dbConnect function.

The following connection properties are required in order to connect to data.

  • Server: The host name or IP of the server hosting the SingleStore database.
  • Port: The port of the server hosting the SingleStore database.
  • Database (Optional): The default database to connect to when connecting to the SingleStore Server. If this is not set, tables from all databases will be returned.

Connect Using Standard Authentication

To authenticate using standard authentication, set the following:

  • User: The user which will be used to authenticate with the SingleStore server.
  • Password: The password which will be used to authenticate with the SingleStore server.

Connect Using Integrated Security

As an alternative to providing the standard username and password, you can set IntegratedSecurity to True to authenticate trusted users to the server via Windows Authentication.

Connect Using SSL Authentication

You can leverage SSL authentication to connect to SingleStore data via a secure session. Configure the following connection properties to connect to data:

  • SSLClientCert: Set this to the name of the certificate store for the client certificate. Used in the case of 2-way SSL, where truststore and keystore are kept on both the client and server machines.
  • SSLClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
  • SSLClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
  • SSLClientCertType: The certificate type of the client store.
  • SSLServerCert: The certificate to be accepted from the server.

Connect Using SSH Authentication

Using SSH, you can securely login to a remote machine. To access SingleStore data via SSH, configure the following connection properties:

  • SSHClientCert: Set this to the name of the certificate store for the client certificate.
  • SSHClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
  • SSHClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
  • SSHClientCertType: The certificate type of the client store.
  • SSHPassword: The password that you use to authenticate with the SSH server.
  • SSHPort: The port used for SSH operations.
  • SSHServer: The SSH authentication server you are trying to authenticate against.
  • SSHServerFingerPrint: The SSH Server fingerprint used for verification of the host you are connecting to.
  • SSHUser: Set this to the username that you use to authenticate with the SSH server.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the SingleStore JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.singlestore.jar

Fill in the connection properties and copy the connection string to the clipboard.

Below is a sample dbConnect call, including a typical JDBC connection string:

conn <- dbConnect(driver,"jdbc:singlestore:User=myUser;Password=myPassword;Database=NorthWind;Server=myServer;Port=3306;")

Schema Discovery

The driver models SingleStore APIs as relational tables, views, and stored procedures. Use the following line to retrieve the list of tables:

dbListTables(conn)

Execute SQL Queries

You can use the dbGetQuery function to execute any SQL query supported by the SingleStore API:

orders <- dbGetQuery(conn,"SELECT ShipName, ShipCity FROM Orders WHERE ShipCountry = 'USA'")

You can view the results in a data viewer window with the following command:

View(orders)

Plot SingleStore Data

You can now analyze SingleStore 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$ShipCity, main="SingleStore Orders", names.arg = orders$ShipName, horiz=TRUE)