Nothing
.onLoad <- function(libname, pkgname){
}
#' @importFrom future nbrOfWorkers
#' @importFrom crayon red blue green
.onAttach <- function(libname, pkgname) {
packageStartupMessage(
crayon::blue(
"\n\n Thank you for using {disk.frame}. However {disk.frame} has been soft-deprecated. You are recommended to switch over to using the {arrow} package for handling larger-than-RAM data. You can convert your existing disk.frames to the parquet format which {arrow} can use by using:\n\n
```
disk.frame::disk.frame_to_parquet(path.to.your.disk.frame, parquet_path)
````
Once done you can use {arrow}'s dataset features to manipulate the larger-than-RAM data using dplyr verbs. E.g.
```
dataset = arrow::open_dataset(parquet_path)
parquet_path |>
mutate(...) |>
group_by(...) |>
summarize(...) |>
collect(...)
```
"
),
crayon::red(
glue::glue(
"\n\n## Message from disk.frame:
We have {future::nbrOfWorkers()} workers to use with disk.frame.
To change that, use setup_disk.frame(workers = n) or just setup_disk.frame() to use the defaults."
)
),
crayon::green(
"\n\n
It is recommended that you run the following immediately to set up disk.frame with multiple workers in order to parallelize your operations:\n\n
```r
# this will set up disk.frame with multiple workers
setup_disk.frame()
# this will allow unlimited amount of data to be passed from worker to worker
options(future.globals.maxSize = Inf)
```
\n\n"
))
}
globalVariables(c(
"sym", # from dplyr
"type", # used in bloomfilter
"size", # used in bloomfilter
"modification_time", # used in bloomfilter
"name", # used in gen_summ_code
"agg_expr", # used in gen_summ_code
"orig_code", # used in gen_summ_code
"syms", # needed by dplyr to treat something as a symbol
".",
".BY",
".N",
".SD",
".out.disk.frame.id",
":=",
"N",
"area",
"chunk_id",
"coltypes",
"coltypes.x",
"coltypes.y",
"ctot",
"existing_df",
"feature_s",
"h",
"height",
"incompatible_types",
"lag_height",
"new_chunk",
"ok",
"pathA",
"pathB",
"w",
"xid",
"yid",
"paths",
".disk.frame.sub.path",
"fullpath",
".check",
"partition_path"
))
#' @useDynLib disk.frame
#' @importFrom Rcpp evalCpp
#@exportPattern "^[[:alpha:]]+"
NULL
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