awk predates perl as well as python by a pretty large margin (1978); it’s useful, of course, for processing things in a pipeline, but as it became obsolete as a general-purpose scripting language, users have had less and less of a reason to learn its syntax in detail – so nowadays it shows up in one-liners where it could be replaced by a tiny bit of cut.

I had worked through a good bit of the O’Reilly ‘sed & awk’ book – the first programming book I got, after being enticed by shell scripting in general. Once I learned a bit of Python, & got better at vim scripting, though, I started using it less and less; today I barely remember its syntax.

I use awk constantly at work. Very useful in my opinion, and really powerful if you dig into it.

Nearly every day. There was a time when I’d reach for Ruby, but in the end, the stability, ubiquity, and portability of the traditional Unix tools - among whom awk is counted - turned out to be more useful. I mainly underuse its power, though; it serves as a column aggregator or re-arranger, for the most part.

awk will always have a soft spot for me, but I can see why not many take the time to learn it. It tends to be needed right there at the border of problem complexity where you are probably better using a full-fledged scripting tool.

But learning awk is great for that “now you’re thinking in pipes” ah-hah moment.

I use awk on the daily. It has a wider and more consistent install base than perl.

I used to use the command line, Bash, Awk, Sed, Cut, Grep, and Find (often piped to one another) quite often. I can recall that the few times I used Awk was usually for collating lines from logs or CSV files.

But then I switched to using Emacs as my editor, and it gathers together the functionality of all of those tools into one, nice, neat little bundle of APIs that you can easily program in the Emacs Lisp programming language, either as code or by recording keystrokes as a “macro.”

Now I don’t use shell pipelines hardly at all anymore. Mostly I run a process, buffer its output, and edit it interactively. I first edit by hand, then record a macro once I know what I want to do, then apply the macro to every line of the buffer. After that, I might save the buffer to a file, or maybe stream it to another process, recapturing its output. This technique is much more interactive, with the ability to undo mistakes, and so it is easier to manipulate data than with Awk and shell pipelines.

I use awk all the time. a very common and probably simplest reason I use it is it’s ability to handle variable column locations for data.

if you know you always want the last field you can do something like

awk '{print $NF}'

but usually using it as for performing more advanced operations all in one go without having to pipe something three times.

sure you can do grep cut grep printf, but you can instead do the pattern matching, the field, the formatting, whatever you need to all in one place.

it’s also got a bunch of more advanced usage of course since it’s its own language. one of my favorite advanced one liners is one that will recognize if it is going to print a duplicate line anywhere in your output and prevent it. in cases where you don’t want to sort your output but you also want to remove duplicates it is extremely helpful and quick rather than running post-processing on the output in another way.

all that said main reason I use it is because I know it and it’s fast, there’s nothing you can do in awk that you can’t do in Python or whatever else you’re more comfortable with. The best tool for the job is the one that gets it done quickly and accurately. unless your environment is limited and it prevents the installation of tools you’re more familiar with then there’s no real reason to use this over Python.

I use it multiple times a day. I only know basic usage, but it’s super useful as part of an awk/grep/sort/uniq pipeline, basically just extracting a field to work on.

I use awk a good bit. Not as much as when I was doing data work, though. It’s better than cut at splitting on whitespace in many contexts. Lots of other nice uses like variable scope, regex, and summing

awk is supposed to be simpler. If it isn’t, just use your favorite scripting language. It comes from a period of time when a lot of the scripting languages weren’t as easy to use or readily available.

I think it’s pretty niche but is a great tool for parsing / converting data into a format that is more easily digested by another program.

Think for example a report from an 80’s system that spits out many tab separated values in a different format based on some code. Then these tables are all separated by two blank lines and order of them is randomised. To top that off you need to then pipe it all to a different program that only accepts a specific format.

You could do it in Python by doing a parse, process, stringify code but if you know awk you can do all those steps at the same time with less code.

Sure, in the age of REST the Python approach is better but awk is a very powerful tool for the “I have a specific output but need a specific input” problem.

Anyone interested in awk make sure to check the just published awk book second revision by original authors. Kernigan’s writings are a joy to read.

I learned awk when I was studying and I still use it every now and then. It’s one of those tools that come in really handy at times. I work in Ruby, but there’s still times when scripting or just wanting to process some text when I end up using awk because it makes sense.

With embedded like OpenWRT on a router where you only have busybox/ash shell, awk is your primary expansions tool.

I use sed a lot