Staleness is determined by the number of days from 2am on the current day in the current time-zone. A item cached for only one day becomes stale at 2am the day after it is cached. The time is configurable and option(cache.time_day_starts = 0) would be midnight. Automated analysis using caches and updated data should ensure that analysis does not cross this time point otherwise it may end up using old data.
Usage
cache_delete_stale(
.cache = getOption("cache.dir", default = rappdirs::user_cache_dir("ggrrr")),
.prefix = ".*",
.stale = getOption("cache.stale", default = Inf)
)Arguments
- .cache
the location of the cache as a directory. May get its value from
getOption("cache.path")or the default value which israppdirs::user_cache_dir(<package_name>)- .prefix
(optional) a name of the operation so that you can namespace the cached files and do selective clean up operations on them with .cache_clear()
- .stale
the length of time in days before considering cached data as stale.