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simpleCache is an R package providing functions for
caching R objects. Its purpose is to encourage writing reusable,
restartable, and reproducible analysis pipelines for projects with
massive data and computational requirements.
Like its name indicates, simpleCache is intended to be
simple. You choose a location to store your caches, and then provide the
function with nothing more than a cache name and instructions (R code)
for how to produce the R object. While simple, simpleCache
also provides some advanced options like environment assignments,
recreating caches, reloading caches, and even cluster compute bindings
(using the batchtools package) making it flexible enough
for use in large-scale data analysis projects.
| ### Installing simpleCache |
|---|
| ### Running simpleCache |
simpleCache comes with a
single primary function (simpleCache()) that will do almost
everything you need. In short, you run it with a few lines like
this: |
library(simpleCache) setCacheDir(tempdir()) simpleCache("normSample", { rnorm(1e7, 0,1) }, recreate=TRUE) simpleCache("normSample", { rnorm(1e7, 0,1) }) |
simpleCache also interfaces
with the batchtools package to let you build caches on any
cluster resource manager. |
simpleCache(): Creates and caches or reloads cached
results of provided R instruction codelistCaches(): Lists all of the caches available in the
cacheDirdeleteCaches(): Deletes cache(s) from the
cacheDirsetCacheDir(): Sets a global option for a cache
directory so you don’t have to specify one in each
simpleCache callsimpleCacheOptions(): Views all of the
simpleCache global options that have been setThe use case I had in mind for simpleCache is that you
find yourself constantly recalculating the same R object in several
different scripts, or repeatedly in the same script, every time you open
it and want to continue that project. SimpleCache is well-suited for
interactive analysis, allowing you to pick up right where you left off
in a new R session, without having to recalculate everything. It is
equally useful in automatic pipelines, where separate scripts may
benefit from loading, instead of recalculating, the same R objects
produced by other scripts.
R provides some base functions (save,
serialize, and load) to let you save and
reload such objects, but these low-level functions are a bit cumbersome.
simpleCache simply provides a convenient, user-friendly
interface to these functions, streamlining the process. For example, a
single simpleCache call will check for a cache and load it
if it exists, or create it if it does not. With the base R
save and load functions, you can’t just write
a single function call and then run the same thing every time you start
the script – even this simple use case requires additional logic to
check for an existing cache. simpleCache just does all this
for you.
The thing to keep in mind with simpleCache is that
the cache name is paramount. simpleCache
assumes that your name for an object is a perfect identifier for that
object; in other words, don’t cache things that you plan to change.
simpleCache is licensed under the 2-Clause BSD
License. Questions, feature requests and bug reports are welcome via
the issue
queue. The maintainer will review pull requests and incorporate
contributions at his discretion.
For more information refer to the contributing document and pull request / issue templates in the .github folder of this repository.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.