Displaying 4 results from an estimated 4 matches for "keeptabs".
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keepass
2024 Dec 12
1
Cores hang when calling mcapply
...etter! Sounds like the adjustments you devised, especially keeping the multicore approach for `make_clean_names()` and ensuring that `ID_Key` values remain intact, were the missing components you needed to fit it into your workflow.
I believe the warning message regarding `dcast()` occurs because `keeptabs` is a `tbl_df` from the tidyverse rather than a base `data.frame` or `data.table`. The `data.table` implementation of `dcast()` expects a `data.table` or `data.frame`. When it detects a `tbl_df`, it tries to redirect to `reshape2::dcast()`, but since that appears to be deprecated, it will fail in f...
2024 Dec 12
1
Cores hang when calling mcapply
...rces = input_files,
????????????format = 'csv',
????????????unify_schema = TRUE,
????????????col_types = schema(
????????????"ID_Key" = string(),
????????????"column1" = string(),
????????????"column2" = string()
????????????)
??????) |> as_tibble()
??????
??keeptabs <- split(temp, temp$ID_Key)
if(isTRUE(multicore)){
keeptabs <- mclapply(1:length(keeptabs), function(i) crewjanitormakeclean(keeptabs[[i]],c("column1","column2")), mc.cores = numcores)
}else{
keeptabs <- lapply(1:length(keeptabs), function(i) crewja...
2024 Dec 11
1
Cores hang when calling mcapply
How is the server configured to handle memory distribution for individual users. I see it has over 700GB of total system memory, but how much can be assigned it each individual user?
AAgain - just curious, and wondering how much memory was assigned to your instance when you were running R.
regards,
Gregg
On Wednesday, December 11th, 2024 at 9:49 AM, Deramus, Thomas Patrick <tderamus at
2024 Dec 11
2
Cores hang when calling mcapply
...aframes based on Key_ID
temp <-
open_dataset(
sources = input_files,
format = 'csv',
unify_schema = TRUE,
col_types = schema(
"ID_Key" = string(),
"column1" = string(),
"column1" = string()
)
) |> as_tibble()
keeptabs <- split(temp, temp$ID_Key)
I used a multicore framework to distribute the `sum` functions across each Key_ID when a multicore argument is enabled.
??????
if(isTRUE(multicore)){
output <- mclapply(1:length(modtabs), function(i) crewjanitormakeclean(modtabs[[i]],c("string_col...