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ODBC Connectivity from Java Icon JDBC-ODBC Bridge Driver

The JDBC-ODBC Bridge provides JDBC access from any Java App to ODBC data sources on Windows, Linux and Mac. Whether your organization uses Java-based tools for reporting and analytics, or builds custom Java solutions, the CData JDBC-ODBC Bridge provides an easy way to connect with any ODBC data source.

Analyze JDBC-ODBC Bridge Data in R

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

Access JDBC-ODBC Bridge 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 JDBC-ODBC Bridge and the RJDBC package to work with remote JDBC-ODBC Bridge 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 JDBC-ODBC Bridge and visualize JDBC-ODBC Bridge 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:


Connect to JDBC-ODBC Bridge as a JDBC Data Source

You will need the following information to connect to JDBC-ODBC Bridge as a JDBC data source:

  • Driver Class: Set this to cdata.jdbc.jdbcodbc.JDBCODBCDriver
  • 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 JDBC-ODBC Bridge:

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

You can now use DBI functions to connect to JDBC-ODBC Bridge and execute SQL queries. Initialize the JDBC connection with the dbConnect function. To connect to an ODBC data source, specify either the DSN (data source name) or specify an ODBC connection string: Set Driver and the connection properties for your ODBC driver.

Built-in Connection String Designer

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

java -jar cdata.jdbc.jdbcodbc.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:jdbcodbc:Driver={ODBC_Driver_Name};Driver_Property1=Driver_Value1;Driver_Property2=Driver_Value2;...")

Schema Discovery

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


Execute SQL Queries

You can use the dbGetQuery function to execute any SQL query supported by the JDBC-ODBC Bridge API:

account <- dbGetQuery(conn,"SELECT Id, Name FROM Account WHERE Id = '1'")

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


Plot JDBC-ODBC Bridge Data

You can now analyze JDBC-ODBC Bridge 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(account$Name, main="JDBC-ODBC Bridge Account", names.arg = account$Id, horiz=TRUE)