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

Access GraphQL data like you would a database through a standard ODBC Driver interface.

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Analyze GraphQL Data in R


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

Access GraphQL data with pure R script and standard SQL. You can use the CData ODBC Driver for GraphQL and the RODBC package to work with remote GraphQL 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 GraphQL data and visualize GraphQL 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 GraphQL as an ODBC Data Source

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

You must specify the URL of the GraphQL service. The driver supports two types of authentication:

  • Basic: Set AuthScheme to Basic. You must specify the User and Password of the GraphQL service.
  • OAuth 1.0 & 2.0: Take a look at the OAuth section in the Help documentation for detailed instructions.

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 GraphQL 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 GraphQL Source] Driver = CData ODBC Driver for GraphQL Description = My Description AuthScheme = Basic User = username Password = password URL = https://mysite.com

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 GraphQL Data as an ODBC Data Source

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

conn <- odbcConnect("CData GraphQL Source")

Schema Discovery

The driver models GraphQL 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 GraphQL API.

users <- sqlQuery(conn, "SELECT Name, Email FROM Users WHERE UserLogin = 'admin'", believeNRows=FALSE, rows_at_time=1)

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

View(users)

Plot GraphQL Data

You can now analyze GraphQL 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(users$Email, main="GraphQL Users", names.arg = users$Name, horiz=TRUE)