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dplyr-cli

dplyr-cli uses the Rscript executable to run dplyr commands on CSV files in the terminal.

dplyr-cli makes use of the terminal pipe | instead of the magrittr pipe (%>%) to run sequences of commands.

cat mtcars.csv | group_by cyl | summarise "mpg = mean(mpg)" | kable
#> | cyl|      mpg|
#> |---:|--------:|
#> |   4| 26.66364|
#> |   6| 19.74286|
#> |   8| 15.10000|

Motivation

I wanted to be able to do quick hacks on CSV files on the command line using dplyr syntax, but without actually starting a proper R session.

What dplyr commands are supported?

Any command of the form:

  • dplyr::verb(.data, code)
  • dplyr::*_join(.data, .rhs)

Currently two extra commands are supported which are not part of dplyr.

  • csv performs no dplyr command, but only outputs the input data as CSV to stdout
  • kable performs no dplyr command, but only outputs the input data as a knitr::kable() formatted string to stdout

Limitations

  • Only tested under ‘bash’ on OSX. YMMV.
  • Every command runs in a separate R session.
  • When using special shell characters such as (), you’ll have to quote your code arguments. Some shells will require more quoting than others.
  • “joins” (such as left_join) do not currently let you specify the by argument, so there must be columns in common to both dataset

Usage

dplyr --help
#  dplyr-cli
#  
#  Usage:
#      dplyr <command> [--file=fn] [--csv | -c] [--verbose | -v] [<code>...]
#      dplyr -h | --help
#  
#  Options:
#      -h --help            show this help text
#      -f FILE --file=FILE  input CSV or RDS filename. If reading from stdin, assumes CSV [default: stdin]
#      -c --csv             write output to stdout in CSV format (instead of default RDS file)
#      -v --verbose         be verbose

History

v0.1.0 2020-04-20

  • Initial release

v0.1.1 2020-04-21

  • Switch to ‘Rscript’ for easier install for users
  • rename ‘dplyr.sh’ to just ‘dplyr’

v0.1.2 2020-04-21

  • Support for joins e.g. left_join

v0.1.3 2020-04-22

  • More robust tmpdir handling

Contributors

Installation

Because this script straddles a great divide between R and the shell, you need to ensure both are set up correctly for this to work.

  1. Install R packages
  2. Clone this repo and put dplyr in your path

Install R packages - within R

dplyr-cli is run from the shell but at every invocation is starting a new rsession where the following packages are expected to be installed:

install.packages('readr')    # read in CSV data
install.packages('dplyr')    # data manipulation
install.packages('docopt')   # CLI description language
Click to reveal instructions for installing packages on the command line

To do it from the cli on a linux-ish system, install r-base (sudo apt -y install r-base) and then run

sudo su - -c "R -e \"install.packages('readr', repos='http://cran.rstudio.com/')\""
sudo su - -c "R -e \"install.packages('dplyr', repos='http://cran.rstudio.com/')\""
sudo su - -c "R -e \"install.packages('docopt', repos='http://cran.rstudio.com/')\""

Clone this repo and put dplyr in your path

You’ll then need to download the shell script from this repository and put dplyr somewhere in your path.

git clone https://github.com/coolbutuseless/dplyr-cli
cp dplyr-cli/dplyr ./somewhere/in/your/search/path

Example data

Put an example CSV file on the filesystem. Note: This CSV file is now included as mtcars.csv as part of this git repository, as is a second CSV file for demonstrating joins - cyl.csv

write.csv(mtcars, "mtcars.csv", row.names = FALSE)

Example 1 - Basic Usage

# cat contents of input CSV into dplyr-cli.  
# Use '-c' to output CSV if this is the final step
cat mtcars.csv | dplyr filter -c "mpg == 21"
#  "mpg","cyl","disp","hp","drat","wt","qsec","vs","am","gear","carb"
#  21,6,160,110,3.9,2.62,16.46,0,1,4,4
#  21,6,160,110,3.9,2.875,17.02,0,1,4,4
# Put quotes around any commands which contain special characters like <>()
cat mtcars.csv | dplyr filter -c "mpg < 11"
#  "mpg","cyl","disp","hp","drat","wt","qsec","vs","am","gear","carb"
#  10.4,8,472,205,2.93,5.25,17.98,0,0,3,4
#  10.4,8,460,215,3,5.424,17.82,0,0,3,4
# Combine dplyr commands with shell 'head' command
dplyr select --file mtcars.csv -c cyl | head -n 6
#  "cyl"
#  6
#  6
#  4
#  6
#  8

Example 2 - Simple piping of commands (with shell pipe, not magrittr pipe)

cat mtcars.csv | \
   dplyr mutate "cyl2 = 2 * cyl"  | \
   dplyr filter "cyl == 8" | \
   dplyr kable
#  |  mpg| cyl|  disp|  hp| drat|    wt|  qsec| vs| am| gear| carb| cyl2|
#  |----:|---:|-----:|---:|----:|-----:|-----:|--:|--:|----:|----:|----:|
#  | 18.7|   8| 360.0| 175| 3.15| 3.440| 17.02|  0|  0|    3|    2|   16|
#  | 14.3|   8| 360.0| 245| 3.21| 3.570| 15.84|  0|  0|    3|    4|   16|
#  | 16.4|   8| 275.8| 180| 3.07| 4.070| 17.40|  0|  0|    3|    3|   16|
#  | 17.3|   8| 275.8| 180| 3.07| 3.730| 17.60|  0|  0|    3|    3|   16|
#  | 15.2|   8| 275.8| 180| 3.07| 3.780| 18.00|  0|  0|    3|    3|   16|
#  | 10.4|   8| 472.0| 205| 2.93| 5.250| 17.98|  0|  0|    3|    4|   16|
#  | 10.4|   8| 460.0| 215| 3.00| 5.424| 17.82|  0|  0|    3|    4|   16|
#  | 14.7|   8| 440.0| 230| 3.23| 5.345| 17.42|  0|  0|    3|    4|   16|
#  | 15.5|   8| 318.0| 150| 2.76| 3.520| 16.87|  0|  0|    3|    2|   16|
#  | 15.2|   8| 304.0| 150| 3.15| 3.435| 17.30|  0|  0|    3|    2|   16|
#  | 13.3|   8| 350.0| 245| 3.73| 3.840| 15.41|  0|  0|    3|    4|   16|
#  | 19.2|   8| 400.0| 175| 3.08| 3.845| 17.05|  0|  0|    3|    2|   16|
#  | 15.8|   8| 351.0| 264| 4.22| 3.170| 14.50|  0|  1|    5|    4|   16|
#  | 15.0|   8| 301.0| 335| 3.54| 3.570| 14.60|  0|  1|    5|    8|   16|

Example 3 - set up some aliases for convenience

alias mutate="dplyr mutate"
alias filter="dplyr filter"
alias select="dplyr select"
alias summarise="dplyr summarise"
alias group_by="dplyr group_by"
alias ungroup="dplyr ungroup"
alias count="dplyr count"
alias arrange="dplyr arrange"
alias kable="dplyr kable"


cat mtcars.csv | group_by cyl | summarise "mpg = mean(mpg)" | kable
#  `summarise()` ungrouping output (override with `.groups` argument)
#  | cyl|      mpg|
#  |---:|--------:|
#  |   4| 26.66364|
#  |   6| 19.74286|
#  |   8| 15.10000|

Example 4 - joins

Limitations:

  • first argument after a join command must be an existing file (either CSV or RDS)
  • You can’t yet specify a by argument for a join, so there must be a column in common to join by
cat cyl.csv
#  cyl,description
#  4,four
#  6,six
cat mtcars.csv | dplyr inner_join cyl.csv | dplyr kable
#  |  mpg| cyl|  disp|  hp| drat|    wt|  qsec| vs| am| gear| carb|description |
#  |----:|---:|-----:|---:|----:|-----:|-----:|--:|--:|----:|----:|:-----------|
#  | 21.0|   6| 160.0| 110| 3.90| 2.620| 16.46|  0|  1|    4|    4|six         |
#  | 21.0|   6| 160.0| 110| 3.90| 2.875| 17.02|  0|  1|    4|    4|six         |
#  | 22.8|   4| 108.0|  93| 3.85| 2.320| 18.61|  1|  1|    4|    1|four        |
#  | 21.4|   6| 258.0| 110| 3.08| 3.215| 19.44|  1|  0|    3|    1|six         |
#  | 18.1|   6| 225.0| 105| 2.76| 3.460| 20.22|  1|  0|    3|    1|six         |
#  | 24.4|   4| 146.7|  62| 3.69| 3.190| 20.00|  1|  0|    4|    2|four        |
#  | 22.8|   4| 140.8|  95| 3.92| 3.150| 22.90|  1|  0|    4|    2|four        |
#  | 19.2|   6| 167.6| 123| 3.92| 3.440| 18.30|  1|  0|    4|    4|six         |
#  | 17.8|   6| 167.6| 123| 3.92| 3.440| 18.90|  1|  0|    4|    4|six         |
#  | 32.4|   4|  78.7|  66| 4.08| 2.200| 19.47|  1|  1|    4|    1|four        |
#  | 30.4|   4|  75.7|  52| 4.93| 1.615| 18.52|  1|  1|    4|    2|four        |
#  | 33.9|   4|  71.1|  65| 4.22| 1.835| 19.90|  1|  1|    4|    1|four        |
#  | 21.5|   4| 120.1|  97| 3.70| 2.465| 20.01|  1|  0|    3|    1|four        |
#  | 27.3|   4|  79.0|  66| 4.08| 1.935| 18.90|  1|  1|    4|    1|four        |
#  | 26.0|   4| 120.3|  91| 4.43| 2.140| 16.70|  0|  1|    5|    2|four        |
#  | 30.4|   4|  95.1| 113| 3.77| 1.513| 16.90|  1|  1|    5|    2|four        |
#  | 19.7|   6| 145.0| 175| 3.62| 2.770| 15.50|  0|  1|    5|    6|six         |
#  | 21.4|   4| 121.0| 109| 4.11| 2.780| 18.60|  1|  1|    4|    2|four        |

Security warning

dplyr-cli uses eval(parse(text = ...)) on user input. Do not expose this program to the internet or random users under any circumstances.

Inspirations

  • xsv - a fast CSV command line toolkit written in Rust
  • jq - a command line JSON processor.
  • miller

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Manipulate CSV files on the command line using dplyr

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