Asynchronous Disk-Based Representation of Massive Data.

Andromeda

Andromeda is part of HADES.

Introduction

AsynchroNous Disk-based Representation of MassivE DAta (ANDROMEDA): An R package for storing large data objects. Andromeda allow storing data objects on a local drive, while still making it possible to manipulate the data in an efficient manner.

Features

• Allows storage of data objects much larger than what can fit in memory.
• Integrates with dplyr package for data manipulation.
• Objects are stored in a temporary location on the local file system.
• Ability to save and load the objects to a compressed file in a permanent location on the local file system.

Examples

library(Andromeda)
bigData <- andromeda()

# Add some 'big' data:
bigData$cars <- cars

# Manipulate using dplyr:
bigData$cars %>% filter(speed > 10) %>% count() %>% collect()
# # A tibble: 1 x 1
#       n
#   <int>
# 1    41

saveAndromeda(bigData, "bigData.zip")
close(bigData)

Technology

The Andromeda package is an R package wrapped around RSQLite.

System Requirements

Running the package requires R.

Installation

To install the latest development version, install from GitHub:

install.packages("devtools")
devtools::install_github("ohdsi/Andromeda")

User Documentation

Documentation can be found on the package website.

• Vignette: Using Andromeda
• Package manual: Andromeda manual

Support

• Developer questions/comments/feedback: OHDSI Forum
• We use the GitHub issue tracker for all bugs/issues/enhancements

Contributing

Read here how you can contribute to this package.

License

Andromeda is licensed under Apache License 2.0

Development

Andromeda is being developed in R Studio.

Development status

Beta. Use at your own risk.