When you want to process a text file using the command line, awk, sed, cut and tr are the most used programs. Here you will learn the basic use of each one.

Table of Contents

awk

This powerful tool can do simple and complex text processing tasks.

  • Print (show) all contents of a file. 
    awk '{print}' text.txt
#or
awk '{print $0}' text.txt

Pipes

  • You can pipe the output of another command to awk. 
    df -h | awk '{print $0}'

    awk '{print}' < text.txt
  • To Export the output to a file. 
    df -h | awk '{print}' > output.txt

Columns

  • Print first column of a tab-separator file (or command). 
    df -h | awk '{print $1}'
  • Print last column 
    awk '{print $NF}' text.txt
    • NF stands for “Number of Fields”.
  • Print several columns. 
    df -h | awk '{print $1,$3}'
  • Using a diferent separator. 
    awk -F ":" '{print $1}' /etc/passwd
  • You can add several code blocks inside the single quotes (awk '{code block}; {code block}')

Formating the output

  • Sum column values row by row (same for other mathematical operations). 
    $ awk -F ':' '{print $3+$4}' /etc/passwd
0
2
4
  • Separate column values by some character (like a tab). 
    $ awk -F ',' '{print NR"\t"$1"\t"$2}' < test.csv 
1	fechalectura	lectura
2	2021-06-04	177
3	2021-08-10	184
4	2021-10-07	190
  • Print the total number of lines (records). 
    # END: this code block runs when all input has been processed
awk -F ':' 'END {print NR}' /etc/passwd
  • Using printf. 
    # Print second column as a floating number with two decimals
awk -F ',' '{printf "%.2f\n",$2}' < testfile

Conditions

  • Search for a RegExp. 
    # look for 'sshd'
awk -F ':' '/sshd/ {print $1,$7}' /etc/passwd
  • Standard “if”. 
    # Don't print first value of column 2
awk -F ',' '{if (NR != 1) print $2}' test.csv

    # Split the file based on the third column value
awk -F ',' '{if ($3 >= 1000) print $0}' < test.csv > testmore1000.csv
awk -F ',' '{if ($3 < 1000) print $0}' < test.csv > testless1000.csv

Some examples

# Add a new calculated column and new column names
# BEGIN: this will run before file processing
# current, diff and prev are variables

$ awk -F ',' 'BEGIN {print "date,m3,diff"}; {current = $2}; {diff = current - prev}; {prev = $2}; {if (NR != 1) print $1","$2","diff}' ../file.csv | column -s ',' -t
date        m3   diff
2021-06-04  177  177
2021-08-10  184  7
2021-10-07  190  6
2021-12-06  197  7

# Remove two lines
$ awk -F ',' '{if (NR==1 || NR==3) {} else {print NR " "$0}}' test.csv | head -n5
2 2021-07-21 00:00,247
4 2021-07-21 02:00,136
5 2021-07-21 03:00,82
6 2021-07-21 04:00,84
7 2021-07-21 05:00,115

sed

Use the ‘Streaming EDitor’ to transform a text.

Replace/delete text

  • Substitute “word1” for “word2”. 
    sed 's/word1/word2/' text.txt

    This command will not change the file, only show the results. You can export the output to a file with > or use -i to edit the original file (use with caution, it’s always safer to create a new file).

    sed 's/word1/word2/' text.txt > newtext.txt

    sed -i 's/word1/word2/' text.txt

    Also, it only changes the first occurence in each line. To change all ocurrences:

    sed 's/word1/word2/g' text.txt

    sed 's/[[:lower:]]/\U&/g' lowertoupper.txt
sed 's/[[:upper:]]/\l&/g' uppertolower.txt
# Detects accented letters
  • Delete word1. 
    sed 's/word1//g' text.txt
  • Delete first character of every line. 
    sed 's/^.//' text.txt
  • Delete last character of every line. 
    sed 's/.$//' text.txt

Replace “o” for “O” only on lines that match a pattern.

sed '/root/s/o/O/g' /etc/passwd

Delete lines

Delete lines matching a pattern.

sed '/root/d' /etc/passwd

You can use RegExp when looking for a pattern. This command will delete any empty line.

sed '/^$/d' test.txt
  • Depending of the file formatting, you can also use '/\r/d' or '/^\r$/d'.
sed -n '/pattern/p' file.txt

Prepend/Append lines

Insert text one line before every line.

sed 'i\new line' test.txt

Append text (insert one line after every line).

sed 'a\new line' test.txt

Specify a line number

If you add a line number before the subcommand letter (a, i, d, etc.) that subcommand will only run in that line. To refer to the last line, type $.

# Delete second line
sed 2d test.txt
# Delete from line 3 to line 6
sed 3,6d test.txt

# Insert a line at the beginning
sed '1i/new line' test.txt

Extended RegExp support

For some RegExp, you may need to use -E parameter.

sed -E '/(\.com)$/d'

Replace between patterns

You can use RegExp to split a line into several groups (using parenthesis) and replace only one of them.

$ cat urls.txt
https://elpais.com
https://eldiario.es
https://radiohuesca.com
https://google.com

$ sed -E 's/^(https:\/\/)(.*)(\.com)$/\1test\3/' urls.txt 
https://test.com
https://eldiario.es
https://test.com
https://test.com
  • You can select pattern groups with \ and its number: 1 for first group, 2 for the second, etc. In this case, we want to print the first group (https://), add test and print the third group (.com).

More examples

  • Merge lines 2 and 3. Replace ‘2’ with the line you want to merge. You can add spaces or any character between the lines.

    sed '2N;s/\n//' testfile

  • Change only first occurence in a file (from line 0 to /loading/)

    $ cat testfile
<a href="/assets/imgs/test-1.jpg"><img src="/assets/imgs/test-1.jpg" alt="test" title="test" loading="lazy"></a>

<a href="/assets/imgs/test-2.jpg"><img src="/assets/imgs/test-2.jpg" alt="test" title="test" loading="lazy"></a>

$ sed '0,/loading/{s/ loading="lazy"//}' testfile
<a href="/assets/imgs/test-1.jpg"><img src="/assets/imgs/test-1.jpg" alt="test" title="test"></a>

<a href="/assets/imgs/test-2.jpg"><img src="/assets/imgs/test-2.jpg" alt="test" title="test" loading="lazy"></a>

cut

cut is a simpler version of awk. You can use it to separate a text in columns and show a specific column or several columns.

  • Print first column on a “:” delimiter file. 
    cut -d ":" -f1 /etc/passwd
  • Print two columns. 
    cut -d ":" -f1,7 /etc/passwd
  • By default, cut uses the delimiter as a separator in the output, but you can change it with --output-delimiter=DELIMITER. 
    cut -d ":" -f1,7 --output-delimiter=" " /etc/passwd

tr

tr works similar to sed: translates or deletes characters from standard input, writing to standard output.

tr 'character' 'substitution' < file

For example, you can change commas to tabs:

tr ',' '\t' < file.csv
  • You can achieve something similar with column -s ',' -t < file.csv.

Or you can delete all spaces:

echo {a..z} | tr -d ' '
Test with this online terminal: