Model Context Protocol (MCP) finally gives AI models a way to access the business data needed to make them really useful at work. CData MCP Servers have the depth and performance to make sure AI has access to all of the answers.
Try them now for free →
Analyze Odoo Data in R
Use standard R functions and the development environment of your choice to analyze Odoo data with the CData JDBC Driver for Odoo.
Access Odoo 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 Odoo and the RJDBC package to work with remote Odoo 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 Odoo and visualize Odoo data by calling standard R functions.
About Odoo Data Integration
Accessing and integrating live data from Odoo has never been easier with CData. Customers rely on CData connectivity to:
- Access live data from both Odoo API 8.0+ and Odoo.sh Cloud ERP.
-
Extend the native Odoo features with intelligent handling of many-to-one, one-to-many, and many-to-many data properties. CData's connectivity solutions also intelligently handle complex data properties within Odoo. In addition to columns with simple values like text and dates, there are also columns that contain multiple values on each row. The driver decodes these kinds of values differently, depending upon the type of column the value comes from:
- Many-to-one columns are references to a single row within another model. Within CData solutions, many-to-one columns are represented as integers, whose value is the ID to which they refer in the other model.
- Many-to-many columns are references to many rows within another model. Within CData solutions, many-to-many columns are represented as text containing a comma-separated list of integers. Each value in that list is the ID of a row that is being referenced.
- One-to-many columns are references to many rows within another model - they are similar to many-to-many columns (comma-separated lists of integers), except that each row in the referenced model must belong to only one in the main model.
- Use SQL stored procedures to call server-side RFCs within Odoo.
Users frequently integrate Odoo with analytics tools such as Power BI and Qlik Sense, and leverage our tools to replicate Odoo data to databases or data warehouses.
Getting Started
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 Odoo as a JDBC Data Source
You will need the following information to connect to Odoo as a JDBC data source:
- Driver Class: Set this to cdata.jdbc.odoo.OdooDriver
- 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 Odoo:
driver <- JDBC(driverClass = "cdata.jdbc.odoo.OdooDriver", classPath = "MyInstallationDir\lib\cdata.jdbc.odoo.jar", identifier.quote = "'")
You can now use DBI functions to connect to Odoo and execute SQL queries. Initialize the JDBC connection with the dbConnect function.
To connect, set the Url to a valid Odoo site, User and Password to the connection details of the user you are connecting with, and Database to the Odoo database.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Odoo JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.odoo.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:odoo:User=MyUser;Password=MyPassword;URL=http://MyOdooSite/;Database=MyDatabase;")
Schema Discovery
The driver models Odoo 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 Odoo API:
res_users <- dbGetQuery(conn,"SELECT name, email FROM res_users")
You can view the results in a data viewer window with the following command:
View(res_users)
Plot Odoo Data
You can now analyze Odoo 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(res_users$email, main="Odoo res_users", names.arg = res_users$name, horiz=TRUE)
Ready to get started?
Download a free trial of the Odoo Driver to get started:
Download NowLearn more:
Odoo JDBC Driver
Rapidly create and deploy powerful Java applications that integrate with Odoo ERP data, including Sales Orders, Purchase Orders, Accounts, and more!
