Running examples in 'fileplyr-Ex.R' failed
The error most likely occurred in:

> ### Name: fileply
> ### Title: fileply
> ### Aliases: fileply
> 
> ### ** Examples
> 
> # split-apply-combine
> write.table(mtcars, "mtcars.csv", row.names = FALSE, sep = ",")
> temp <- fileply(file     = "mtcars.csv"
+              , groupby = c("carb", "gear")
+              , fun     = identity
+              , collect = "list"
+              , sep     =  ","
+              , header  = TRUE
+              )
----
Job ID: ydgabknrwj__2019-03-20_20_23_48
Reading data ... Completed in 0 secs
Aggregating  ... Completed in 2 secs
Collecting   ... Completed in 0.3 secs
Done!
----
> temp
[[1]]
$key
[1] "carb=2|gear=3"

$value
   mpg cyl disp  hp drat    wt  qsec vs am gear carb
1 18.7   8  360 175 3.15 3.440 17.02  0  0    3    2
2 15.5   8  318 150 2.76 3.520 16.87  0  0    3    2
3 15.2   8  304 150 3.15 3.435 17.30  0  0    3    2
4 19.2   8  400 175 3.08 3.845 17.05  0  0    3    2

[[2]]
$key
[1] "carb=3|gear=3"

$value
   mpg cyl  disp  hp drat   wt qsec vs am gear carb
1 16.4   8 275.8 180 3.07 4.07 17.4  0  0    3    3
2 17.3   8 275.8 180 3.07 3.73 17.6  0  0    3    3
3 15.2   8 275.8 180 3.07 3.78 18.0  0  0    3    3

[[3]]
$key
[1] "carb=8|gear=5"

$value
  mpg cyl disp  hp drat   wt qsec vs am gear carb
1  15   8  301 335 3.54 3.57 14.6  0  1    5    8

[[4]]
$key
[1] "carb=4|gear=4"

$value
   mpg cyl  disp  hp drat    wt  qsec vs am gear carb
1 21.0   6 160.0 110 3.90 2.620 16.46  0  1    4    4
2 21.0   6 160.0 110 3.90 2.875 17.02  0  1    4    4
3 19.2   6 167.6 123 3.92 3.440 18.30  1  0    4    4
4 17.8   6 167.6 123 3.92 3.440 18.90  1  0    4    4

[[5]]
$key
[1] "carb=6|gear=5"

$value
   mpg cyl disp  hp drat   wt qsec vs am gear carb
1 19.7   6  145 175 3.62 2.77 15.5  0  1    5    6

[[6]]
$key
[1] "carb=2|gear=4"

$value
   mpg cyl  disp  hp drat    wt  qsec vs am gear carb
1 24.4   4 146.7  62 3.69 3.190 20.00  1  0    4    2
2 22.8   4 140.8  95 3.92 3.150 22.90  1  0    4    2
3 30.4   4  75.7  52 4.93 1.615 18.52  1  1    4    2
4 21.4   4 121.0 109 4.11 2.780 18.60  1  1    4    2

[[7]]
$key
[1] "carb=1|gear=4"

$value
   mpg cyl  disp hp drat    wt  qsec vs am gear carb
1 22.8   4 108.0 93 3.85 2.320 18.61  1  1    4    1
2 32.4   4  78.7 66 4.08 2.200 19.47  1  1    4    1
3 33.9   4  71.1 65 4.22 1.835 19.90  1  1    4    1
4 27.3   4  79.0 66 4.08 1.935 18.90  1  1    4    1

[[8]]
$key
[1] "carb=4|gear=5"

$value
   mpg cyl disp  hp drat   wt qsec vs am gear carb
1 15.8   8  351 264 4.22 3.17 14.5  0  1    5    4

[[9]]
$key
[1] "carb=2|gear=5"

$value
   mpg cyl  disp  hp drat    wt qsec vs am gear carb
1 26.0   4 120.3  91 4.43 2.140 16.7  0  1    5    2
2 30.4   4  95.1 113 3.77 1.513 16.9  1  1    5    2

[[10]]
$key
[1] "carb=4|gear=3"

$value
   mpg cyl disp  hp drat    wt  qsec vs am gear carb
1 14.3   8  360 245 3.21 3.570 15.84  0  0    3    4
2 10.4   8  472 205 2.93 5.250 17.98  0  0    3    4
3 10.4   8  460 215 3.00 5.424 17.82  0  0    3    4
4 14.7   8  440 230 3.23 5.345 17.42  0  0    3    4
5 13.3   8  350 245 3.73 3.840 15.41  0  0    3    4

[[11]]
$key
[1] "carb=1|gear=3"

$value
   mpg cyl  disp  hp drat    wt  qsec vs am gear carb
1 21.4   6 258.0 110 3.08 3.215 19.44  1  0    3    1
2 18.1   6 225.0 105 2.76 3.460 20.22  1  0    3    1
3 21.5   4 120.1  97 3.70 2.465 20.01  1  0    3    1

> unlink("mtcars.csv")
> 
> # chunkwise processing
> write.table(mtcars, "mtcars.csv", row.names = FALSE, sep = ",")
> temp <- fileply(file     = "mtcars.csv"
+              , chunk   = 10
+              , fun     = function(x){list(nrow(x))}
+              , collect = "dataframe"
+              , sep     =  ","
+              , header  = TRUE
+              )
----
Job ID: njgiouewzt__2019-03-20_20_23_51
Reading data ... Completed in 0 secs
Aggregating  ... Completed in 2 secs
Collecting   ... Completed in 0.1 secs
Done!
----
> temp
  V1
1 10
2  2
3 10
4 10
> unlink("mtcars.csv")
> 
> # example for collect='none'
> write.table(mtcars, "mtcars.csv", row.names = FALSE, sep = ",")
> outdir <- utils::capture.output(temp <- fileply(file      = "mtcars.csv"
+                                                 , groupby = c("carb", "gear")
+                                                 , fun     = identity
+                                                 , sep     =  ","
+                                                 , header  = TRUE
+                                                 )
+                                 , file = NULL
+                                 , type = "message"
+                                 )
> outdir <- gsub("Output Directory: ", "", outdir[5])
> diskKV <- datadr::ddo(datadr::localDiskConn(outdir))
* Saving connection attributes
* To initialize the data in this directory as a distributed data object of data frame, call ddo() or ddf()
> diskKV

Distributed data object backed by 'kvLocalDisk' connection

 attribute      | value
----------------+----------------------------------------------------------------
 size (stored)  | 3.77 KB
 size (object)  | [empty] call updateAttributes(dat) to get this value
 # subsets      | 11

* Missing attributes: keys, splitSizeDistn

> diskKV[[1]]
$key
[1] "carb=8|gear=5"

$value
  mpg cyl disp  hp drat   wt qsec vs am gear carb
1  15   8  301 335 3.54 3.57 14.6  0  1    5    8
> unlink(outdir, recursive = TRUE)
> unlink("mtcars.csv")
> 
> 
> 
> 
> cleanEx()
Error: connections left open:
	hdText (textConnection)
	paste(topLines, collapse = "\n") (textConnection)
Execution halted