| 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_filewhether 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_pathwhere the data is stored
transposewhether to load data transposed
dimsdata 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
dropwhether 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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