'Palantir Foundry' Software Development Kit.

Palantir R SDK

Setup

Install the library from CRAN:

install.packages("foundry")

Alternatively, install the latest development version from Github:

install.packages("remotes")
remotes::install_github("https://github.com/palantir/palantir-r-sdk", ref = "0.13.0")

Configuration

Configuration for hostname and an authentication token can be provided using options:

• foundry.hostname is the hostname of your instance e.g. example.palantirfoundry.com
• foundry.token is a token acquired from the Tokens section of Foundry Settings

Alternatively, you can set the environment variables FOUNDRY_HOSTNAME and FOUNDRY_TOKEN.

Configuration will be loaded in the following order: options if present, otherwise environment variables.

Authentication tokens serve as a private password and allows a connection to Foundry data. Keep your token secret and do not share it with anyone else. Do not add a token to a source controlled or shared file.

Extra configuration options

• foundry.config_dir is the directory where configuration files are stored, defaults to ~/.foundry
• foundry.requests.timeout is the timeout of HTTPS requests made to Foundry, defaults to 150s

Aliases

To read datasets, aliases must first be registered. Create a YAML file called ~/.foundry/aliases.yml and define an alias for every dataset you wish to read or write to.

my_dataset:
    rid: ri.foundry.main.dataset.31388c03-2854-443e-b6cd-fe51c5908371
my_dataset_on_branch:
    rid: ri.foundry.main.dataset.5db9d133-6c87-4917-b11e-18b095ac4d30
    branch: develop

Examples

Read a tabular Foundry dataset into a data.frame or Apache Arrow Table

library(foundry)
df <- datasets.read_table("my_dataset")

Download raw files from a Dataset

all_dataset_files <- datasets.list_files("my_dataset")
downloaded_files <- datasets.download_files("my_dataset", all_dataset_files)

Write a data.frame or Apache Arrow Table to Foundry

datasets.write_table(df, "my_dataset")

Upload local files or folders to a Dataset

datasets.upload_files(file.path("~", "Downloads", "example"), "my_dataset")