cache | R Documentation |
Functions for caching results attached to atomic objects
newcache(x)
jamcache(x)
cache(x)
setcache(x, which, value)
getcache(x, which)
remcache(x)
## S3 method for class 'cache'
print(x, all.names = FALSE, pattern, ...)
x |
an integer64 vector (or a cache object in case of |
which |
A character naming the object to be retrieved from the cache or to be stored in the cache |
value |
An object to be stored in the cache |
all.names |
passed to |
pattern |
passed to |
... |
ignored |
A cache
is an link{environment}
attached to an atomic object with the link{attrib}
name 'cache'.
It contains at least a reference to the atomic object that carries the cache.
This is used when accessing the cache to detect whether the object carrying the cache has been modified meanwhile.
Function newcache(x)
creates a new cache referencing x
Function jamcache(x)
forces x
to have a cache
Function cache(x)
returns the cache attached to x
if it is not found to be outdated
Function setcache(x, which, value)
assigns a value into the cache of x
Function getcache(x, which)
gets cache value 'which' from x
Function remcache
removes the cache from x
see details
Jens Oehlschlägel <Jens.Oehlschlaegel@truecluster.com>
still.identical
for testing whether to symbols point to the same RAM.
Functions that get and set small cache-content automatically when a cache is present: na.count
, nvalid
, is.sorted
, nunique
and nties
Setting big caches with a relevant memory footprint requires a conscious decision of the user: hashcache
, sortcache
, ordercache
and sortordercache
Functions that use big caches: match.integer64
, %in%.integer64
, duplicated.integer64
, unique.integer64
, unipos
, table.integer64
, as.factor.integer64
, as.ordered.integer64
, keypos
, tiepos
, rank.integer64
, prank
, qtile
, quantile.integer64
, median.integer64
and summary.integer64
x <- as.integer64(sample(c(rep(NA, 9), 1:9), 32, TRUE))
y <- x
still.identical(x,y)
y[1] <- NA
still.identical(x,y)
mycache <- newcache(x)
ls(mycache)
mycache
rm(mycache)
jamcache(x)
cache(x)
x[1] <- NA
cache(x)
getcache(x, "abc")
setcache(x, "abc", 1)
getcache(x, "abc")
remcache(x)
cache(x)
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