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The Sage 200 ODBC Driver is a powerful tool that allows you to connect with live data from Sage 200, directly from any applications that support ODBC connectivity.

Access Sage 200 data like you would a database - read, write, and update Sage 200 Products, SalesOrders, Suppliers, etc. through a standard ODBC Driver interface.

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Analyze Sage 200 Data in R


Create data visualizations and use high-performance statistical functions to analyze Sage 200 data in Microsoft R Open.

Access Sage 200 data with pure R script and standard SQL. You can use the CData ODBC Driver for Sage 200 and the RODBC package to work with remote Sage 200 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 Sage 200 data and visualize Sage 200 data in R.

Install R

You can complement the driver's performance gains from multi-threading and managed code by running the multithreaded Microsoft R Open or by running R linked with the BLAS/LAPACK libraries. This article uses Microsoft R Open (MRO).

Connect to Sage 200 as an ODBC Data Source

Information for connecting to Sage 200 follows, along with different instructions for configuring a DSN in Windows and Linux environments.

  • Schema: Determines which Sage 200 edition you are connecting to. Specify either StandardUK or ProfessionalUK.
  • Subscription Key: Provides access to the APIs that are used to establish a connection. You will first need to log into the Sage 200 API website and subscribe to the API edition that matches your account. You can do so here: https://developer.columbus.sage.com/docs/services/api/uk. Afterwards, the subscription key may be found in your profile after logging into Sage 200.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Windows

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

Linux

If you are installing the CData ODBC Driver for Sage 200 in a Linux environment, the driver installation predefines a system DSN. You can modify the DSN by editing the system data sources file (/etc/odbc.ini) and defining the required connection properties.

/etc/odbc.ini

[CData Sage200 Source] Driver = CData ODBC Driver for Sage 200 Description = My Description SubscriptionKey = 12345 Schema = StandardUK

For specific information on using these configuration files, please refer to the help documentation (installed and found online).

Load the RODBC Package

To use the driver, download the RODBC package. In RStudio, click Tools -> Install Packages and enter RODBC in the Packages box.

After installing the RODBC package, the following line loads the package:

library(RODBC)

Note: This article uses RODBC version 1.3-12. Using Microsoft R Open, you can test with the same version, using the checkpoint capabilities of Microsoft's MRAN repository. The checkpoint command enables you to install packages from a snapshot of the CRAN repository, hosted on the MRAN repository. The snapshot taken Jan. 1, 2016 contains version 1.3-12.

library(checkpoint) checkpoint("2016-01-01")

Connect to Sage 200 Data as an ODBC Data Source

You can connect to a DSN in R with the following line:

conn <- odbcConnect("CData Sage200 Source")

Schema Discovery

The driver models Sage 200 APIs as relational tables, views, and stored procedures. Use the following line to retrieve the list of tables:

sqlTables(conn)

Execute SQL Queries

Use the sqlQuery function to execute any SQL query supported by the Sage 200 API.

banks <- sqlQuery(conn, "SELECT Id, Code FROM Banks WHERE Code = '12345'", believeNRows=FALSE, rows_at_time=1)

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

View(banks)

Plot Sage 200 Data

You can now analyze Sage 200 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(banks$Code, main="Sage 200 Banks", names.arg = banks$Id, horiz=TRUE)