LazyFST | R Documentation |
provides hybrid data structure for 'fst' file
none
none
none
vector, dimensions
subset of data
open()
to be compatible with LazyH5
LazyFST$open(...)
...
ignored
close()
close the connection
LazyFST$close(..., .remove_file = FALSE)
...
ignored
.remove_file
whether to remove the file when garbage collected
save()
to be compatible with LazyH5
LazyFST$save(...)
...
ignored
new()
constructor
LazyFST$new(file_path, transpose = FALSE, dims = NULL, ...)
file_path
where the data is stored
transpose
whether to load data transposed
dims
data dimension, only support 1 or 2 dimensions
...
ignored
get_dims()
get data dimension
LazyFST$get_dims(...)
...
ignored
subset()
subset data
LazyFST$subset(i = NULL, j = NULL, ..., drop = TRUE)
i, j, ...
index along each dimension
drop
whether to apply drop
the subset
Zhengjia Wang
if(!is_on_cran()){
# Data to save, total 8 MB
x <- matrix(rnorm(1000000), ncol = 100)
# Save to local disk
f <- tempfile()
fst::write_fst(as.data.frame(x), path = f)
# Load via LazyFST
dat <- LazyFST$new(file_path = f, dims = c(10000, 100))
# dat < 1 MB
# Check whether the data is identical
range(dat[] - x)
# The reading of column is very fast
system.time(dat[,100])
# Reading rows might be slow
system.time(dat[1,])
}
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