RAthena 1.3.0 has arrived

October 25, 2019
By

[This article was first published on Dyfan Jones Brain Dump HQ, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

RBloggers|RBloggers-feedburner

Recap:

RAthena is a R package that interfaces into Amazon Athena. However, it doesn’t use the standard ODBC and JDBC drivers like AWR.Athena and metis. Instead RAthena utilises Python’s SDK (software development kit) into Amazon, Boto3. It does this by using the reticulate package that provides an interface into Python. What this means is that RAthena doesn’t require any driver installation or setup. That can be particularly difficult when you are considering setting up the ODBC drivers and you are not familiar with how ODBC works on your current operating system. If you wish to use ODBC, RStudio has provided a good user guide Setting up ODBC Drivers to help set up ODBC drivers on your system. However if you do not wish to go down that route RAthena might be a good option for you.

New Features in RAthena:

Anyway, getting back to RAthena and what does the new update provide. One of the key changes in RAthena is the method of transferring data to and from AWS Athena. RAthena now utilising data.table for this process. The reason for this change is the raw speed data.table. When transferring data to and from AWS Athena the last thing you want is a bottle neck in R just preparing the data before it even transfers it to AWS Athena. This bottle neck can easily be 50 – 100x longer without the use of data.table.

The next change is bigint, and how it is converted from AWS Athena to R. In the past RAthena would just convert integer64 to bigint when writing to AWS Athena, however it would then convert bigint back into R as a normal integer. Which means it is constrained to 32-bit integers. This has now been fixed. When reading bigint from AWS Athena RAthena will now convert it into integer64.

Sum Up:

RAthena now provides a faster method in reading and writing data from AWS Athena (thanks data.table). With the correct handling of AWS Athena bigint. So please give RAthena a try and let me know what you think of the package. Suggestions/Bugs/Enhancements are always welcome and they will help the package to improve: https://github.com/DyfanJones/RAthena/issues.

Installation methods:

Just in case you are not aware Rathena is available on the CRAN and GitHub.

CRAN:

install.packages("RAthena")

GitHub development version:

remotes::install_github("dyfanjones/RAthena")

To leave a comment for the author, please follow the link and comment on their blog: Dyfan Jones Brain Dump HQ.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)