The rredis is defunct and I will not continue developing it. I urge all rredis users to switch to the redux package, https://github.com/richfitz/redux (also on CRAN). The redux package provides a more complete interface to Redis, with a much better (consistent, flexible, simpler) internal design.
It's easy to convert projects that rely on rredis to use redux. See the examples below.
I'll keep rredis around for a long time until I'm sure most folks that depend on it have moved over to redux, so there is no great urgency to switch. But redux is better and you should use it!
This package will be removed from CRAN soon, so switch to the redux package please.
rredis: An R client for Redis
library(rredis) redisConnect() redisSet('foo', runif(10)) bar <- redisGet('foo') bar #  0.93499818 0.47159536 0.30597259 0.58325228 0.41589498 0.63914212 0.34658694 0.08633471 0.18111369 0.15763507 redisMSet(list(x=pi,y='Cazart',z=runif(2))) redisMGet(list('z','y')) #$z # 0.1155711 0.7166137 # #$y # "Cazart" redisClose()
redisCmd to run any Redis command
This is more or less how the
redux package works.
Some Redis commands have corresponding convenience wrappers with online
help in the R package. Use the generic
redisCmd function to run any
Redis command, even ones not specifically implemented by the package.
redisCmd("set","key1","foobar") redisCmd("set","key2","abcdef") redisCmd("bitop", "and", "dest", "key1", "key2") #  "6" redisCmd("get", "dest") #  "`bc`ab" # in redux: library(redux) con <- hiredis() con$set("key1", "foobar") con$get("key1") #  "foobar" # setting/getting a serialized R value in redux con$set("key2", serialize(pi, NULL)) unserialize(con$get("key2")) #  3.14159
New in version 1.7.0
Better value exchange between R and Redis
We implemented a great suggestion by Simon Urbanek. Values obtained from Redis that are not serialized R objects are now decorated with an attribute named "redis string value." The package uses this to automatically maintain fidelity of the original Redis value through repeated download/upload cycles. Previous versions of the rredis package uploaded everything as serialized R values unless explictly told otherwise.
Consider the following interplay between the
redis-cli client and R:
redis-cli set key "string value"
And now in R:
> library(rredis) > redisConnect() > redisGet("key")  "string value" attr(,"redis string value") # <- note the new attribute  TRUE > redisSet("new key", redisGet("key"))
Recovering the "new key" value from the
redis-cli client returns a string
redis-cli get "new key" "string value"
Before this change, users needed to be careful about converting strings to raw values in R. Now things work much more intuitively.
API change, and option to revert behavior
options('redis:num'=TRUE) to return
:" messages as numeric values. This was the default behavior
of the rredis package for all versions prior to 1.6.9. For versions
of the R package later than that, redis "
:" messages are returned
as raw Redis string values to correspond to the data types stored in Redis.
Set this option to revert to the old behavior.
Redis commands affected by this option importantly include the increment and decrement operations. This change is outlined in the following example:
> library(rredis) > redisConnect() > redisSet('x',charToRaw('1'))  "OK" > redisIncr('x')  "2" attr(,"redis string value")  TRUE > options('redis:num'=TRUE) > redisIncr('x')  3 > options('redis:num'=c()) > redisIncr('x')  "4" attr(,"redis string value")  TRUE
Consider using the redisSetPipeline function to enable pipelining, and also read help about options available to the redisConnect function. Also see the available options in the redisConnect function.