A new minor release 0.2.2 of our RcppRedis package arrived on CRAN this evening. RcppRedis is one of several packages connecting R to the fabulous Redis in-memory datastructure store (and much more). RcppRedis does not pretend to be feature complete, but it may do some things faster than the other interfaces, and also offers an optional coupling with MessagePack binary (de)serialization via RcppMsgPack. The package has carried production loads for several years now.
This packages now brings a neat enhancement to the real-time data plotter code (and example) I have been using with for a while now. Paul Murrell kindly suggested dev.hold() and dev.flush() when I inquired how to minimize ‘flicker’ from frequent updated. And this is perfect. I can now keep several data displays ‘on’ during market hours without being distracted by ‘flicker’. It just updates, smooth as silk. Also included in the release are the usual two updates so en vogue these days: a (sole) sprinkling of void to appease clang-15, and an update the GitHub Action for checkout. Both silence some nags we would rather not see.
The detailed changes list follows.
Changes in version 0.2.2 (2022-10-31)
Thanks to a suggestion by Paul Murrell, the real-time chart demo now uses dev.hold() and.flush() for flicker-free updates.
One function prototype was updated for
clang-15.GitHub Actions were updated to checkout version 3.
Courtesy of CRANberries, there is also a diffstat report for this release. More information is on the RcppRedis page.
If you like this or other open-source work I do, you can now sponsor me at GitHub.
This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.