Analyze Miro Data in R via JDBC

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

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

• Driver Class: Set this to cdata.jdbc.api.APIDriver
• 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 Miro:

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

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

Using API Key Authentication

Miro uses API Key authentication with an access token. To generate an access token:

1. Log in to your Miro account
2. Navigate to Settings > Your apps
3. Click "Create new app" or select an existing app
4. Configure the required permissions (e.g., boards:read, teams:read)
5. Install the app and generate an access token
6. Copy the generated access token (it will only be shown once)

After obtaining your access token, set the following connection properties:

• AuthScheme: Set this to APIKey.
• APIKey: Set this to your access token.

Connecting to Miro

Once the authentication is configured, you can connect to Miro and query data from any of the available tables such as Boards, Items, Teams, Organizations, and more.

Built-in Connection String Designer

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

java -jar cdata.jdbc.api.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:api:Profile=C:\profiles\Miro.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_access_token';")

Schema Discovery

The driver models Miro 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 Miro API:

boards <- dbGetQuery(conn,"SELECT ,  FROM Boards WHERE BoardId = '3074457361234567890'")

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

View(boards)

Plot Miro Data

You can now analyze Miro 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(boards$, main="Miro Boards", names.arg = boards$, horiz=TRUE)