logo
down
shadow

readLines killing R in purrr::map


readLines killing R in purrr::map

By : user2172881
Date : October 22 2020, 08:10 AM
will be helpful for those in need I keep losing my session* in the console when trying to perform readLines (from base) with map (from purrr). , this will work:
result <- map(paths, readLines, n = 1)
code :
Usage
map(.x, .f, ...)
... Additional arguments passed on to .f.


Share : facebook icon twitter icon
ipc perl killing background job requires killing two pids

ipc perl killing background job requires killing two pids


By : christian
Date : March 29 2020, 07:55 AM
it helps some times The system using sh -c ... to execute an external command with shell metacharacters (in your case, the >> for output redirection, and for that matter any spaces in the command string) is documented in exec and system. To avoid using sh -c and to create a single process, you can use the LIST form of exec:
code :
my @cmd = ('top','-b','-d','1','-n','300','-u',$ENV{USER});
exec(@cmd);
my @cmd = ...
close STDOUT;
open STDOUT, '>>', 'logfile';
exec @cmd;
my @cmd = ...;
close STDOUT;       # close file descriptor 1
open FOO, '>/tmp/asdf';        # probably uses file descriptor 1
open STDOUT, '>>', 'logfile';  # probably uses file descriptor != 1
exec(@cmd);                    # probably writes output to FOO\/tmp/asdf
unless ($logger_pid = fork) {
    use POSIX;
    POSIX::setpgid($$,$$);   # set child process to be in its own process group
    exec($cmd);
}

...

kill -15, $logger_pid;       # kill the process group with id $logger_pid
Purrr-Fection: In Search of An Elegant Solution to Conditional Data Frame Operations Leveraging Purrr

Purrr-Fection: In Search of An Elegant Solution to Conditional Data Frame Operations Leveraging Purrr


By : Mihir Prajapati
Date : March 29 2020, 07:55 AM
This might help you Really, you want to avoid calling geocode any more than necessary because it's slow and if you're using Google, you only have 2500 queries per day. Thus, it's best to make both columns from the same call, which can be done with a list column, making a new version of the data.frame with do, or a self-join.
1. With a list column
code :
library(dplyr)
library(ggmap)
library(tidyr)    # For `unnest`

       # Evaluate each row separately
df %>% rowwise() %>% 
    # Add a list column. If lon or lat are NA,
    mutate(data = ifelse(any(is.na(c(lon, lat))), 
                         # return a data.frame of the geocoded results,
                         list(geocode(paste(Street, City, State, Zip))), 
                         # else return a data.frame of existing columns.
                         list(data_frame(lon = lon, lat = lat)))) %>% 
    # Remove old columns
    select(-lon, -lat) %>% 
    # Unnest newly created ones from list column
    unnest(data)

## # A tibble: 6 × 6
##                 Street       City    State   Zip       lon      lat
##                  <chr>      <chr>    <chr> <dbl>     <dbl>    <dbl>
## 1        226 W 46th St   New York New York 10036 -73.98670 40.75902
## 2              5th Ave   New York New York 10022 -73.97491 40.76167
## 3          75 Broadway   New York New York 10006 -74.01205 40.70814
## 4          350 5th Ave   New York New York 10118 -73.98566 40.74871
## 5  20 Sagamore Hill Rd Oyster Bay New York 11771 -73.50538 40.88259
## 6 45 Rockefeller Plaza   New York New York 10111 -73.97771 40.75915
       # Evaluate each row separately
df %>% rowwise() %>% 
    # Make a new data.frame from the first four columns and the geocode results or existing lon/lat
    do(bind_cols(.[1:4], if(any(is.na(c(.$lon, .$lat)))){
        geocode(paste(.[1:4], collapse = ' '))
    } else {
        .[5:6]
    }))
df %>% filter(is.na(lon) | is.na(lat)) %>% 
    select(1:4) %>% 
    bind_cols(geocode(paste(.$Street, .$City, .$State, .$Zip))) %>% 
    bind_rows(anti_join(df, ., by = c('Street', 'Zip')))
df %>% filter(is.na(lon) | is.na(lat)) %>% 
    select(1:4) %>% 
    mutate(address = paste(Street, City, State, Zip)) %>%    # make an address column
    mutate_geocode(address) %>% 
    select(-address) %>%    # get rid of address column
    bind_rows(anti_join(df, ., by = c('Street', 'Zip')))

##                 Street       City    State   Zip       lon      lat
## 1              5th Ave   New York New York 10022 -73.97491 40.76167
## 2  20 Sagamore Hill Rd Oyster Bay New York 11771 -73.50538 40.88259
## 3 45 Rockefeller Plaza   New York New York 10111 -73.97771 40.75915
## 4          350 5th Ave   New York New York 10118 -73.98566 40.74871
## 5          75 Broadway   New York New York 10006 -74.01205 40.70814
## 6        226 W 46th St   New York New York 10036 -73.98670 40.75902
df[is.na(df$lon) | is.na(df$lat), c('lon', 'lat')] <- geocode(paste(df$Street, df$City, df$State, df$Zip)[is.na(df$lon) | is.na(df$lat)])
Killing oozie coordinator is not killing the subsequent spark job

Killing oozie coordinator is not killing the subsequent spark job


By : user1727058
Date : March 29 2020, 07:55 AM
I wish this help you Oozie coordinator runs an oozie workflow with a particular schedule. When the coordinator invokes the oozie workflow it submits the spark job on the cluster.
Here the coordinator and the oozie workflow only does the tracking of the job, i.e. whether the job is running or killed etc.
code :
yarn application -kill <applicationId> 
is there a way I can recycle elements of the shorter list in purrr:: map2 or purrr::walk2?

is there a way I can recycle elements of the shorter list in purrr:: map2 or purrr::walk2?


By : Gutoh Morais
Date : March 29 2020, 07:55 AM
hop of those help? You can put both lists in a data frame and let that command repeat your vectors:
code :
input <- data.frame(a = 1:3, b = 4:9)
purrr::map2(input$a, input$b, sum)
Difference Between a Task Killer Killing an App and the Android OS Killing an App

Difference Between a Task Killer Killing an App and the Android OS Killing an App


By : Kanaka Reddy
Date : March 29 2020, 07:55 AM
Hope that helps As of Froyo there is no difference. :) All a task killer can do is kill -9 a process when it is in the background, which is the same thing the OS does when it wants its memory. And yes, this is not a clean and orderly exit, it is a kill-the-process-dead-right-now. In fact on regular Android environments, Application.onTerminate() will never be killed; processes only go away by killing.
Prior to Froyo task killers had access to a different API -- "force stop" -- that allowed them to much more brutally stop all apps. This includes stopping any started services, removing any alarms that are registered, removing notifications, etc.
Related Posts Related Posts :
  • R 'cowplot' neatly produce gridded plot with shared (common) legends and unique legends
  • Repeat R script for many times and save results to text file
  • How to negative lookbehind for special characters
  • data.table inner join produces error when no match is found
  • Create a new column base on existing column, but row above
  • Is there a way to visualize the process of source() in RStudio?
  • google places api consumes 10 request but I am doing only 1
  • Statistical mode of a categorical variable in R (using mlv)
  • Using for-loop to mutate a data.frame in r
  • Make plot with regression line for mixed model
  • Shortcut to select matces cases in R studio
  • vectoriced norm/matrix multiplication
  • Negative log10 transformation in R
  • Plot data with duplicate points
  • Visualizing crosstab tables with a plot in R - changing colours
  • How to manually modify automated numbers and labels in plot
  • How can I follow any redirections of a url in R?
  • Add jitter to box plot using markers in plotly
  • Adding an extra item to the legend
  • ggplot fills in data in the wrong order
  • Convert list to data frame
  • R: filtering by list(s) of strings and returning all results that start with the content of the lists
  • R:How to attach parts of a data frame with different headers and/or an overflowing piece of the dat frame
  • How to use 'par' for manipulating plot margins?
  • Can dplyr::case_when return mix of NAs and non-NAs?
  • Text preprocessing and topic modelling using text2vec package
  • Uploading multiple files in Shiny, process the files, rbind the results and return a download
  • R levelplot: color green-white-red (white on 0) according to one variable, but show the values of another variable
  • Why [i] doesn't point to the starting point in a vector
  • In R after generating a mvrnorm distribution, Y, what does Y[,1] do?
  • expand a data frame to have as many rows as range of two columns in original row
  • Getting started with R and CFA
  • Re order x-axis in ggplot so time goes from 12AM to 11PM in R
  • R - Automatically stack every nth column of a data frame and save them as new objects
  • How to format dplyr output in R into doubles (or other workable format)?
  • Dataframe to matrix conversion using tapply turns zeros to NAs
  • Smallest multiple of 1:20 - How can I make it quicker?
  • How to specify the size of a graph in ggplot2 independent of axis labels
  • How can I find the number of a vector's elements in another vector?
  • ROC curve from train/test set in caret R package
  • Random Forest for a mixture of categorical,numeric and "unwanted" variables which include missing values
  • extract certain data from multiple excel files with R
  • Matrix with counts of wins and losses between methods in R
  • Grouping string variables from a dataframe by best string match to make subsets
  • Reorder does not work after adding second geom_points
  • cover POS data formate to the one can apply Arules (Apriori)
  • Matching values between data frames based on overlapping dates
  • Grouped bar chart turns into stacked bar chart ggplot
  • R: How to fill in NA Values within a Column based on grouping?
  • Two action buttons, but only the first one, that is written in the server file, works?
  • Barchart grouped by variable both count up to 100 percent
  • Converting time in R to 24 hours
  • R - Web scrapping and downloading multiple zip files and save the files without overwriting
  • Find month and year inside string
  • Append multiple csv files into one file using R
  • Use `purrr::map` with k-means
  • R - 'data' is not an exported object from 'namespace:my_package'
  • Sum vector with number by dinamic intervals without looping
  • Issues with ave function in R: error "cannot allocate vector of size 419 kb."
  • Shiny system call with continuous updates
  • shadow
    Privacy Policy - Terms - Contact Us © voile276.org