https://github.com/whitead/sqlshare-r

SQLShare API for R
https://github.com/whitead/sqlshare-r

Last synced: about 1 month ago
JSON representation

SQLShare API for R

• Host: GitHub
• URL: https://github.com/whitead/sqlshare-r
• Owner: whitead
• License: other
• Created: 2013-04-04T19:40:07.000Z (almost 12 years ago)
• Default Branch: master
• Last Pushed: 2021-08-02T18:33:51.000Z (over 3 years ago)
• Last Synced: 2024-10-16T02:59:08.618Z (3 months ago)
• Language: R
• Size: 18.6 KB
• Stars: 2
• Watchers: 4
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
SQLShare API for R

===================

**This project is no longer maintaned**

This provides a minimal API for accessing [SQLShare](http://escience.washington.edu/sqlshare) in the [R programming language](http://r-project.org). Here's the syntax for

obtaining a data.frame from a table located on SQLShare:

    sql <- "select * from [[email protected]].[periodic_table]"

    elements <- fetch.data.frame(sql)

That's it! It loads a config file for authentication from:

    ~/.sqlshare/config

The format of the file should look like:

    [sqlshare]

    host=rest.sqlshare.escience.washington.edu

    user=your-user-name@your-domain

    password=your-api-key

Use this link to generate an [API key](https://sqlshare.escience.washington.edu/sqlshare/#s=credentials).

Installing Dependencies

----------

Before installing, you must install the [RCurl package](http://cran.r-project.org/package=RCurl). If you are using a Linux system, you need to install the libcurl header files. For example, if you're using Ubuntu install the `libcurl-dev` package (using the variant with secure connections enabled) from the command line with

    sudo apt-get install libcurl4-openssl-dev

If you're using RedHat, install libcurl with

    sudo yum -y install curl-devel

Next, regardless of your operating system you must install RCurl. Open

an R session and type

    install.packages("RCurl")

Installing From CRAN (preferred)

----------

To install from CRAN, type the following command from 

an R session

    install.packages("sqlshare")

Installing From Source

----------

To install the latest version from the source here, use:

    wget https://github.com/whitead/sqlshare-r/archive/master.zip

    unzip master.zip && rm master.zip

    R CMD build sqlshare-r-master

    sudo R CMD INSTALL sqlshare_*.tar.gz