Simple object cacher for R. storr acts as a very simple
key-value store (supporting
get/set/del for arbitrary R
objects as data). The actual storage can be transient or persistent,
local or distributed without changing the interface. To allow for
distributed access, data is returned by content rather than
simply by key (with a key/content lookup step) so that if another
process changes the data, storr will retrieve the current
version.
storr always goes back to the common storage (database,
filesystem, whatever) for the current object to hash mapping, ensuring
consistency when using multiple processes. However, when retrieving or
writing the data given a hash we can often avoid accessing the
underlying storage. This means that repeated lookups happen quickly
while still being able to reflect changes elsewhere; time savings can be
substantial where large objects are being stored.
From CRAN
install.packages("storr")or install the development version with
remotes::install_github("richfitz/storr@develop", upgrade = FALSE)
storr comes with two vignettes:
vignette("storr") outlines basic use and core
implementation details.vignette("external") shows how to use storr to cache
external resources such as files, web resources, etc, using the
storr_external object.
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