[This article was first published on Thinking inside the box
, 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.
Am update of RcppMsgPack got onto CRAN today. It contains a number of enhancements Travers had been working on, as well as one thing CRAN asked us to do in making a suggested package optional.
MessagePack itself is an efficient binary serialization format. It lets you exchange data among multiple languages like JSON. But it is faster and smaller. Small integers are encoded into a single byte, and typical short strings require only one extra byte in addition to the strings themselves. RcppMsgPack brings both the C++ headers of MessagePack as well as clever code (in both R and C++) Travers wrote to access MsgPack-encoded objects directly from R.
Changes in version 0.2.1 (2018-01-15)
Some corrections and update to DESCRIPTION, README.md, msgpack.org.md and vignette (#6).
c_pack.cpp and tests (#7).
More efficient packing of vectors (#8).
Support for timestamps and NAs (#9).
Conditional use of microbenchmark in
tests/ as required for Suggests: package [CRAN request] (#10).
Minor polish to tests relaxing comparison of timestamp, and avoiding a few
g++ warnings (#12 addressing #11).
Courtesy of CRANberries, there is also a diffstat report for this release. More information is on the RcppRedis page.
More information may be on the RcppMsgPack page. Issues and bugreports should go to the GitHub issue tracker.
This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.