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Rapidly create and deploy powerful Java applications that integrate with HubDB.

Analyze HubDB Data in R



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

Access HubDB 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 HubDB and the RJDBC 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 and visualize HubDB 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:

library(RJDBC)

Connect to HubDB as a JDBC Data Source

You will need the following information to connect to HubDB as a JDBC data source:

  • Driver Class: Set this to cdata.jdbc.hubdb.HubDBDriver
  • 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 HubDB:

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

You can now use DBI functions to connect to HubDB and execute SQL queries. Initialize the JDBC connection with the dbConnect function.

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.

Using a Custom OAuth App

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:

  1. Log into your HubSpot app developer account.
    • Note that it must be an app developer account. Standard HubSpot accounts cannot create public apps.
  2. On the developer account home page, click the Apps tab.
  3. Click Create app.
  4. On the App info tab, enter and optionally modify values that are displayed to users when they connect. These values include the public application name, application logo, and a description of the application.
  5. On the Auth tab, supply a callback URL in the "Redirect URLs" box.
    • If you're creating a desktop application, set this to a locally accessible URL like http://localhost:33333.
    • If you are creating a Web application, set this to a trusted URL where you want users to be redirected to when they authorize your application.
  6. Click Create App. HubSpot then generates the application, along with its associated credentials.
  7. On the Auth tab, note the Client ID and Client secret. You will use these later to configure the driver.
  8. Under Scopes, select any scopes you need for your application's intended functionality.

    A minimum of the following scopes is required to access tables:

    • hubdb
    • oauth
    • crm.objects.owners.read
  9. Click Save changes.
  10. Install the application into a production portal with access to the features that are required by the integration.
    • Under "Install URL (OAuth)", click Copy full URL to copy the installation URL for your application.
    • Navigate to the copied link in your browser. Select a standard account in which to install the application.
    • Click Connect app. You can close the resulting tab.

Using a Private App

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:

  1. In your HubDB account, click the settings icon (the gear) in the main navigation bar.
  2. In the left sidebar menu, navigate to Integrations > Private Apps.
  3. Click Create private app.
  4. On the Basic Info tab, configure the details of your application (name, logo, and description).
  5. On the Scopes tab, select Read or Write for each scope you want your private application to be able to access.
  6. A minimum of hubdb and crm.objects.owners.read is required to access tables.
  7. After you are done configuring your application, click Create app in the top right.
  8. Review the info about your application's access token, click Continue creating, and then Show token.
  9. Click Copy to copy the private application token.

To connect, set PrivateAppToken to the private application token you retrieved.

Built-in Connection String Designer

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

java -jar cdata.jdbc.hubdb.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:hubdb:AuthScheme=OAuth;OAuthClientID=MyOAuthClientID;OAuthClientSecret=MyOAuthClientSecret;CallbackURL=http://localhost:33333;InitiateOAuth=GETANDREFRESH")

Schema Discovery

The driver models HubDB 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 HubDB API:

northwindproducts <- dbGetQuery(conn,"SELECT PartitionKey, Name FROM NorthwindProducts WHERE Id = '1'")

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

View(northwindproducts)

Plot HubDB Data

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)