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Access HubDB data with pure R script and standard SQL. You can use the CData ODBC Driver for HubDB and the RODBC package to work with remote HubDB 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 HubDB data and visualize HubDB data in 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).
Information for connecting to HubDB follows, along with different instructions for configuring a DSN in Windows and Linux environments.
There are two authentication methods available for connecting to HubDB data source: OAuth Authentication with a public HubSpot application and authentication with a Private application token.
AuthScheme must be set to "OAuth" in all OAuth flows. Be sure to review the Help documentation for the required connection properties for you specific authentication needs (desktop applications, web applications, and headless machines).
Follow the steps below to register an application and obtain the OAuth client credentials:
Under Scopes, select any scopes you need for your application's intended functionality.
A minimum of the following scopes is required to access tables:
To connect using a HubSpot private application token, set the AuthScheme property to "PrivateApp."
You can generate a private application token by following the steps below:
To connect, set PrivateAppToken to the private application token you retrieved.
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.
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.
If you are installing the CData ODBC Driver for HubDB 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.
[CData HubDB Source] Driver = CData ODBC Driver for HubDB Description = My Description AuthScheme = OAuth OAuthClientID = MyOAuthClientID OAuthClientSecret = MyOAuthClientSecret CallbackURL = http://localhost:33333 InitiateOAuth = GETANDREFRESH
For specific information on using these configuration files, please refer to the help documentation (installed and found online).
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")
You can connect to a DSN in R with the following line:
conn <- odbcConnect("CData HubDB Source")
The driver models HubDB APIs as relational tables, views, and stored procedures. Use the following line to retrieve the list of tables:
sqlTables(conn)
Use the sqlQuery function to execute any SQL query supported by the HubDB API.
northwindproducts <- sqlQuery(conn, "SELECT PartitionKey, Name FROM NorthwindProducts WHERE Id = '1'", believeNRows=FALSE, rows_at_time=1)
You can view the results in a data viewer window with the following command:
View(northwindproducts)
You can now analyze HubDB 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(northwindproducts$Name, main="HubDB NorthwindProducts", names.arg = northwindproducts$PartitionKey, horiz=TRUE)👁 A basic bar plot. (Salesforce is shown.)
Download a free trial of the HubDB ODBC Driver to get started:
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👁 HubDB IconThe HubDB ODBC Driver is a powerful tool that allows you to connect with live data from HubDB, directly from any applications that support ODBC connectivity.
Access HubDB data like you would a database - read, write, and update HubDB 0, etc. through a standard ODBC Driver interface.