A new minor release 0.2.6 of our RcppRedis package arrived on CRAN today. RcppRedis is one of several packages connecting R to the fabulous Redis in-memory datastructure store (and much more). It works equally well with the newer fork Valkey. 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 been “deployed in production” as a risk / monitoring tool on a trading floor for several years. It also supports pub/sub dissemination of streaming market data as per this earlier example.
This update brings new functions del, lrem,
and lmove (for the matching Redis / Valkey commands) which
may be helpful in using Redis (or Valkey) as a job queue.
We also extended the publish accessor by supporting text
(i.e. string) mode along with raw or
rds (the prior default which always serialized R objects) just how
listen already worked with these three cases. The change
makes it possible to publish from R to subscribers not running R as they
cannot rely on the R deserealizer. An example is provided by almm, a live market
monitor, which we introduced in this
blog post. Apart from that the continuous integration script
received another mechanical update.
The detailed changes list follows.
Changes in version 0.2.6 (2025-06-24)
The commands
DEL,LREMandLMOVEhave been addedThe continuous integration setup was updated once more
The pub/sub publisher now supports a type argument similar to the listener, this allows string message publishing for non-R subscribers
Courtesy of my CRANberries, there is also a diffstat report for this this release. More information is on the RcppRedis page and at the repository and its issue tracker.
This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. If you like this or other open-source work I do, you can sponsor me at GitHub.