A Practical Guide to the Linux Uniq Command

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Thinus Swart %
Thinus Swart

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The uniq command is a useful tool in Linux that helps you find unique lines of text inside a file or from standard output. It filters out all repeated lines, leaving only the unique lines of text in an output. This can be helpful when you’re working with large text files and need to quickly identify distinct lines of text and easily eliminate duplicates to streamline your text-processing tasks.

The aim of this guide is to help you discover the different applications and choices offered by the uniq command, with the goal of incorporating it into your daily toolset.

Basic Syntax of the uniq Command

There are two main ways to use the uniq command. You can either interact directly with a file or interact with stdout.

Interacting Directly With a File

The syntax for using uniq directly with a file is simple:

uniq <optional-arguments> <filename>

This runs the uniq command with any of your chosen arguments on a specified file. These arguments allow you to change the behavior and the output of the uniq command. That output is then sent to stdout, which means you can manipulate the output further with other text-processing commands if you want to.

Interacting With stdout

If you have a file that you want to process using other commands before you run the uniq command on the output, your syntax might look like this:

cat <filename> | grep -oP '<regular-expression>' | sort | uniq

Linux (and other Unix-based operating systems) introduce the concept of piping, which takes the output from one command and pipes it as an input to the next command in the pipeline.

The previous code snippet does the following:

  • cat is used to display the contents of a file to stdout.
  • That output is sent to grep, which is a command that can extract certain parts of the output based on a pattern (a regular expression in this case).
  • The extracted lines that matched the pattern are sent to sort, which by default, sorts the output alphabetically.
  • Finally, the uniq command removes all duplicate lines from the output and displays the result to the user.

This example may look advanced to you, but in the next section, you’ll review a few more code samples so you can become more comfortable processing and analyzing data using the uniq command as well as other Linux commands.

Using the uniq Command on a File

Now that you understand the basic syntax of the uniq command, try to use uniq on a file on your system.

If you want to follow along, create a file called lyrics.txt somewhere on your system and add the lyrics to one of your favorite songs. The example in this guide uses the lyrics for the song “Happy Birthday”:

user@localhost:~$ cat lyrics.txt
Happy birthday to you
Happy birthday to you
Happy birthday, dear person
Happy birthday to you

Removing Duplicate Lines

To remove duplicate lines, run the uniq command on your lyrics.txt file to see the output:

user@localhost:~$ uniq lyrics.txt 
Happy birthday to you
Happy birthday, dear person
Happy birthday to you

The uniq command removes any duplicate lines that follow one after the other. In this example, even though the fourth line is the same as the first and second lines, it’s not removed from the output because the fourth line is not a duplicate of the preceding line.

If you don’t specify any optional arguments for the command, this is the default mode of operation for the uniq command.

Counting Duplicate Lines

You can also count the number of duplicate lines in a file by providing the -c argument to your command:

user@localhost:~$ uniq -c lyrics.txt 
      2 Happy birthday to you
      1 Happy birthday, dear person
      1 Happy birthday to you

As you can see, the count isn’t perfect. The first, and last lines are actually duplicates of one another, but that’s because the default operation of uniq is to look for duplicates in preceding lines.

Sorting Text Before Counting

You can sort the file before using uniq to count the unique lines. For instance, take a look at what the sort command does to the lyrics.txt file:

user@localhost:~$ sort lyrics.txt 
Happy birthday, dear person
Happy birthday to you
Happy birthday to you
Happy birthday to you

sort has many other options for sorting including, numerically, or alphabetically, ascending, or descending but for this example, the default sorting method works just fine as our file contains only alphabetic characters. If there are white spaces and other special characters, sorting is according to a particular precedence of characters.

You can process the results from sort by piping the results of that command to the uniq command:

thinus@devnull:~$ sort lyrics.txt | uniq -c
      1 Happy birthday, dear person
      3 Happy birthday to you

This time around, uniq is correctly counting the number of duplicate lines because the lines have already been sorted.

Running the uniq Command with Arguments and Flags

So far, you’ve been introduced to the -c argument for the uniq command. However, the uniq command is capable of a lot more.

As with almost any command in Linux, you can run the --help or -h parameter to find out what arguments are available to you for any particular command:

user@localhost:~$ uniq --help
Usage: uniq [OPTION]... [INPUT [OUTPUT]]
Filter adjacent matching lines from INPUT (or standard input),
writing to OUTPUT (or standard output).

With no options, matching lines are merged to the first occurrence.

Mandatory arguments to long options are mandatory for short options too.
  -c, --count           prefix lines by the number of occurrences
  -d, --repeated        only print duplicate lines, one for each group
  -D                    print all duplicate lines
      --all-repeated[=METHOD]  like -D, but allow separating groups
                                 with an empty line;
                                 METHOD={none(default),prepend,separate}
  -f, --skip-fields=N   avoid comparing the first N fields
      --group[=METHOD]  show all items, separating groups with an empty line;
                          METHOD={separate(default),prepend,append,both}
  -i, --ignore-case     ignore differences in case when comparing
  -s, --skip-chars=N    avoid comparing the first N characters
  -u, --unique          only print unique lines
  -z, --zero-terminated     line delimiter is NUL, not newline
  -w, --check-chars=N   compare no more than N characters in lines
      --help     display this help and exit
      --version  output version information and exit

A field is a run of blanks (usually spaces and/or TABs), then non-blank
characters. Fields are skipped before chars.

Note: 'uniq' does not detect repeated lines unless they are adjacent.
You may want to sort the input first, or use 'sort -u' without 'uniq'.

GNU coreutils online help: <https://www.gnu.org/software/coreutils/>
Full documentation <https://www.gnu.org/software/coreutils/uniq>
or available locally via: info '(coreutils) uniq invocation'

Don’t be alarmed at this wall of text. This guide goes through a few advanced examples with you and uses some of the other available arguments to show them in action.

Advanced Techniques to Use the uniq Command

If you have a more structured data file, like a CSV, you can also use uniq to count duplicate values of a specific field. The example used here is pretty specific for the purpose of this guide, but you can create your own example to experiment with.

Suppose you have a CSV file that tracks meteorite landings around the world with the following format: day, time, country:

user@localhost:~$ cat meteorites.csv 
day,time,country
2022-01-08,13:47:05,Germany
2022-01-11,11:49:15,Australia
2022-03-02,09:23:27,Germany
2022-04-21,01:11:00,United States
2022-07-14,14:09:32,Canada
2022-08-08,13:37:34,Canada
2023-02-03,21:25:53,Japan
2023-03-05,23:59:09,Finland
2023-04-07,02:23:01,United States
2023-04-11,09:17:00,United States

You may want to see how many times each country has experienced a meteorite strike since you’ve started tracking them.

Skipping a Few Characters

As you can see, this file has a very specific character count, so you can use the --skip-chars=N option to skip a specified number of characters on each line so that you only compare the values of the country field. This is only possible because the file has a rigid structure and a precise number of characters preceding the country field:

user@localhost:~$ cat meteorites.csv | uniq --skip-chars=20 -c
      1 date,time,country
      1 2022-01-08,13:47:05,Germany
      1 2022-01-11,11:49:15,Australia
      1 2022-03-02,09:23:27,Germany
      1 2022-04-21,01:11:00,United States
      2 2022-07-14,14:09:32,Canada
      1 2023-02-03,21:25:53,Japan
      1 2023-03-05,23:59:09,Finland
      2 2023-04-07,02:23:01,United States

Unfortunately, you can see that it didn’t work as expected. It did count duplicates correctly where the country values were adjacent, so you know the --skip-chars option is working. This means that you’re running into the same problem as before: uniq is only counting a duplicate if the values being compared are adjacent to each other.

At this point, you’re probably realizing that the uniq command has some limitations. It’s highly unlikely that you can use the uniq command on its own without first modifying or extracting specific bits of data that you want to count with uniq. You’re going to need to use other commands to help you achieve that.

Sort the file and then count the output with uniq again:

user@localhost:~$ cat meteorites.csv | sort -t, -k3 | \
uniq --skip-chars=20 -c
      1 2022-01-11,11:49:15,Australia
      2 2022-07-14,14:09:32,Canada
      1 date,time,country
      1 2023-03-05,23:59:09,Finland
      2 2022-01-08,13:47:05,Germany
      1 2023-02-03,21:25:53,Japan
      3 2022-04-21,01:11:00,United States

This time, you’re telling sort that you’re using commas for your value delimiter (-t,) and that you want to sort the third column (-k3).

Now, the uniq command can properly check for duplicates because the sorted column makes sure that all duplicate values are adjacent to one another. However, the output isn’t very clean. You can fix that by using tail instead of cat and displaying everything except the CSV header line:

user@localhost:~$ tail -n +2 meteorites.csv | sort -t, -k3 | \
uniq --skip-chars=20 -c
      1 2022-01-11,11:49:15,Australia
      2 2022-07-14,14:09:32,Canada
      1 2023-03-05,23:59:09,Finland
      2 2022-01-08,13:47:05,Germany
      1 2023-02-03,21:25:53,Japan
      3 2022-04-21,01:11:00,United States

Skipping a Few Fields

You can tell uniq to compare specific fields first. However, the uniq command expects fields to be space-delimited. That means you have to replace the commas with spaces after sorting the output:

user@localhost:~$ tail -n +2 meteorites.csv | sort -t, -k3 | \
sed "s/,/ /g" | \
uniq --skip-fields=2 -c
      1 2022-01-11 11:49:15 Australia
      2 2022-07-14 14:09:32 Canada
      1 2023-03-05 23:59:09 Finland
      2 2022-01-08 13:47:05 Germany
      1 2023-02-03 21:25:53 Japan
      3 2022-04-21 01:11:00 United States

As before, you’re first using the tail command to display everything except the first line, then sorting the third column with the sort command.

Then the sed command is replacing all commas with a space character, and the uniq command can look for duplicates in the third column because you specified that you want to skip the first two fields when you’re comparing values.

Implementing a Cleaner Output

Suppose you only want to display the country names and their distinct value counts. You’re going to need the help of the cut command. The cut command in Linux allows you to extract specific sections or columns of text from files or command output:

user@localhost:~$ tail -n +2 meteorites.csv | cut -d"," -f3 | \
sort | uniq -c
      1 Australia
      2 Canada
      1 Finland
      2 Germany
      1 Japan
      3 United States

Now you can even sort the count column to display the results in descending order:

thinus@devnull:~$ tail -n +2 meteorites.csv | cut -d"," -f3 | sort | \
uniq -c | sort -nr
      3 United States
      2 Germany
      2 Canada
      1 Japan
      1 Finland
      1 Australia

The -nr option for the sort command instructs sort to sort using numeric values in reverse order.

Alternatives to the uniq Command

As you may have noticed, there are many ways to accomplish the same thing in Linux. You replaced cat with tail to remove the first line of the file and inserted cut into your pipeline to only grab specific fields from the file.

In that same spirit, there are many other commands in the Linux ecosystem that can achieve what the uniq command achieves in more or less the same fashion.

awk

awk is basically a mini-scripting language that is commonly used for manipulating data and producing usable output.

It’s a lot more complex to use than uniq and requires you to learn a separate scripting language. However, it doesn’t suffer from the same limitations that uniq does. For example, awk does not need a file to be sorted first.

Let’s use awk with our sample CSV file:

user@localhost:~$ awk -F, 'NR!=1;{A[$3]++}END{for(i in A)print i,A[i]}' \
meteorites.csv 
2022-01-08,13:47:05,Germany
2022-01-11,11:49:15,Australia
2022-03-02,09:23:27,Germany
2022-04-21,01:11:00,United States
2022-07-14,14:09:32,Canada
2022-08-08,13:37:34,Canada
2023-02-03,21:25:53,Japan
2023-03-05,23:59:09,Finland
2023-04-07,02:23:01,United States
2023-04-11,09:17:00,United States
Germany 2
country 1
Japan 1
Canada 2
Finland 1
Australia 1
United States 3

The -F, specifies that your file is comma-delimited. Then inside the scripting portion, the NR!=1 tells awk to ignore the first line, and the {A[$3]++} tells awk to count unique values for the third column ($3) and store it in an array called A. Finally, it prints all the values for A with their counted values using a for loop (ie {for(i in A)print i,A[i]}).

The biggest change here is that you used only the awk command to achieve this, and you didn’t need to sort the file at all. However, for novice Linux users, acquiring proficiency in the awk scripting language may pose a more significant challenge.

sort

You can also use the sort command to remove duplicates:

user@localhost:~$ tail -n +2 meteorites.csv | sort -t, -k3 -u 
2022-01-11,11:49:15,Australia
2022-07-14,14:09:32,Canada
2023-03-05,23:59:09,Finland
2022-01-08,13:47:05,Germany
2023-02-03,21:25:53,Japan
2022-04-21,01:11:00,United States

Here, you’ve added the -u flag to sort. It now only displays the first occurrence of a distinct value in the specified column (ie -k3).

Again, you can see that there are differences between sort and uniq. While sort correctly removes the duplicates, you can’t display a count of the distinct values.

Conclusion

In this tutorial, you’ve learned how to use uniq to count distinct values in a file, and the importance of sorting and cleaning the file beforehand. We covered how uniq works best on well-structured, clean inputs. There are numerous Linux commands to help you tailor your output.

For further exploration, refer to the additional resources linked in this guide, and Text Processing Commands page from The Linux Documentation Project.

And after you’ve mastered uniq and are ready for more Linux tools, why not give Earthly a try? It’s a fantastic tool for build tool that works great at the command line.

Keep experimenting and overcoming challenges that come your way!

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Thinus Swart %
Thinus Swart

Thinus has been interested in computers and technology ever since the day he painstakingly typed out every line from a library book about BASIC games into a ZX Spectrum as a young child. From there, he’s been employed as a developer, a network admin, a database admin, and a Linux admin, all in the pursuit of building up his knowledge. He considers himself a ‘jack-of-all-trades, master of some’. He is currently employed as a cybersecurity specialist at a large financial services company in South Africa, making full use of his Splunk Architect certification to analyze the terabytes of data that a company of that size can generate daily.

Writers at Earthly work closely with our talented editors to help them create high quality tutorials. This article was edited by:
Bala Priya C

Bala is a technical writer who enjoys creating long-form content. Her areas of interest include math and programming. She shares her learning with the developer community by authoring tutorials, how-to guides, and more.

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