EuReka

Overview

A suite of tools for working in the University of Colorado Eureka environment in R.

Installation

You can install the development version of EuReka from GitHub with:

# install.packages("devtools")
devtools::install_github("thewileylab/EuReka")

Example

Authenticate with Google BigQuery

In some cases, users may have multiple Google accounts provided by their institution in addition to their personal Gmail account. Each of these accounts will need their own set of credentials to access Google BigQuery through R. EuReka allows users to cache their credentials with a “google_account_type” tag in their home directory.

library(EuReka)
eureka_dbCreateToken(google_account_type = 'hdcuser')

This will initiate the OAuth flow, wherein users may log in with the desired Google account. Credentials will be associated with the user supplied tag when the process is complete.

Connect to BigQuery Dataset

To access these credentials when creating a connection object, reference the “google_account_type” tag in your Eureka connection object:

con <- eureka_dbConnect(project_id = 'your-project-id',
                        dataset_id = 'your-dataset-id',
                        bigint_type = 'character',
                        google_account_type = 'hdcuser')

Download data to R Environment

Often, the bigrquery package will have trouble parsing very large integer values. In order to read and manipulate these values in R, these values must first be CAST as strings so that R will properly interpret the values as characters.

eureka_collect() wraps a low level bigrquery function that accepts a “bigint” variable, allowing data containing large integer values to be downloaded as characters. Non integer fields in the dataset will be parsed according to the BigQuery schema.

interesting_data <- tbl(con, 'table-name') %>% 
  eureka_collect()

Code of Conduct

Please note that the EuReka project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.