Analyze Claude Compliance Data in R via JDBC

Access Claude Compliance 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 Claude Compliance and the RJDBC package to work with remote Claude Compliance 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 Claude Compliance and visualize Claude Compliance 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 Claude Compliance as a JDBC Data Source

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

• Driver Class: Set this to cdata.jdbc.claudecompliance.ClaudeComplianceDriver
• 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 Claude Compliance:

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

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

The driver connects to Claude Compliance using a Compliance Access Key, the only supported authentication method. Set the following connection property:

• APIKey: The Compliance Access Key you created.

Creating a Compliance Access Key

1. Enable the Compliance API for your organization.
2. Sign in to claude.ai as a primary owner or organization owner and open Organization settings > API > Keys.
3. Select Create Key and assign only the scopes your integration needs:
   • read:compliance_activities for Activities and the typed activity views.
   • read:compliance_org_data for organizations, roles, groups, and settings.
   • read:compliance_user_data for users, chats, files, projects, and downloads.
   • delete:compliance_user_data for the explicit Delete stored procedures.
4. Create the key and copy it when it appears. The key starts with sk-ant-api01- and is shown only once.

Optionally, set OrganizationUUID to limit organization-scoped views (such as OrganizationUsers and ComplianceRoles) to a single linked organization. If it is left empty, those views default to the first available organization and do not include data from all linked organizations.

Built-in Connection String Designer

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

java -jar cdata.jdbc.claudecompliance.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:claudecompliance:APIKey=your_compliance_access_key;")

Schema Discovery

The driver models Claude Compliance 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 Claude Compliance API:

projects <- dbGetQuery(conn,"SELECT Id, Name FROM Projects WHERE OrganizationUuid = 'abcdef01-2345-6789-abcd-ef0123456789'")

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

View(projects)

Plot Claude Compliance Data

You can now analyze Claude Compliance 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(projects$Name, main="Claude Compliance Projects", names.arg = projects$Id, horiz=TRUE)