Why you should learn just a little Awk - A Tutorial by Example
gregable.com
gregable.com
btw, i suggest using gawk since it has date functions.
http://www.catonmat.net/blog/awk-book/
It teaches Awk through many practical examples, so called one-liners, that are small and short programs that just do one task. Such as joining lines, printing lines matching a pattern, summing up numbers on lines, converting text, etc.
Check it out!
It was more like proof of concept that GNU Awk is awesome and can do things like binary data IO and networking.
(You made me curious: there are used copies at Amazon starting at around $6.00[1].)
[1] http://www.amazon.com/gp/offer-listing/020107981X/ref=dp_olp...
http://www.catonmat.net/blog/awk-book/
It teaches Awk through many practical examples, so called one-liners, that are small and short programs that just do one task. Such as joining lines, printing lines matching a pattern, summing up numbers on lines, converting text, etc.
If you need a database, you really shouldn't allow the text to be parsed as anything else than originally intended. With "just text with a non-rigid structure" it's just too easy to make a silly mistake. So what is the advantage here, given we have bdb and sqlite on almost every machine nowadays?
Or the other way - if you need something human-readable, why use is as a database? Why not keep the data where the data belongs and generate the reports when needed from there?
bash..$ sqlite3 books.sqlite
sqlite$ create table books ( title varchar(128), author varchar(128) );
sqlite$ insert into books (title, author) values ("Snow Crash", "Neal Stephenson");
sqlite$ .quit
bash..$ echo "select * from books;" | sqlite3 books.sqlite
Snow Crash|Neal Stephenson
[1] http://sqlite.org/ $ sqlite3 books.sqlite "select * from books"This 'NoSQL' has absolutely no similarity to the 'NoSQL' databases of the last few years (and predates them all by many years). Instead it's a tool to manage databases of plain text files in the Unix environment. Seamlessly ties together several parts of Unix toolchain, with Awk as the centerpiece. Has surprising features, like searches with joins between tables (i.e., files).
I'll also second that the Aho Kernighan Awk book is a beautiful piece of work.
I had hopped from HN to Gregable, then followed the link on Gregable to the 2010 HN thread (thinking I had returned to the original).
07.46.199.184 [28/Sep/2010:04:08:20] "GE...
07, huh? :)Q. Have you had any surprises in the way that AWK has developed over the years?
A. One Monday morning I walked into my office to find a person from the Bell Labs micro-electronics product division who had used AWK to create a multi-thousand-line computer-aided design system. I was just stunned. I thought that no one would ever write an AWK program with more than a handful of statements. But he had written a powerful CAD development system in AWK because he could do it so quickly and with such facility. My biggest surprise is that AWK has been used in many different applications that none of us had initially envisaged. But perhaps that's the sign of a good tool, as you use a screwdriver for many more things than turning screws.
- from the 2008 Computerworld interview with Alfred V. Aho (http://goo.gl/OVtFU)
When a screwdriver is the only tool handy, you'll often make that work rather than spend the time finding/buying a better tool.
When I worked in a restaurant I saw the line cook do the same with food burned into the salamander.
hole punch
lever
prybar
stethoscope
electrical bus bar
electrical probe
paint stirrer
scraper
hammer
engraving tool
depth gauge
compass
And yes, I've used screwdrivers for all those purposes.
Use that at least 10 times a day
Also, Larry Wall (perl) said "I still say awk '{print $1}' a lot."
[1] http://web.archive.org/web/20090602215912/http://sial.org/ho...
four options squeezed together:
-l: 1. "chomps" the input (which here means: removes newlines (if present) from each line, more general explanation: http://perldoc.perl.org/functions/chomp.html 2. and automatically adds a newline to each output newline (see below how to achieve this in a shorter way with a relatively new Perl feature).
-a: turns on auto-split-mode: this splits the input (like awk) into the @F (for fields) array. The default separator is one (or many) spaces, i.e. it behaves like AWK.
-n: makes Perl process the input in an implicit while loop around the input, which is processed line-wise: "as long as there is another line, process it!"
-e: execute the next command line argument as a Perl program (argument in this case beeing 'print $F[0]').
Note that the example can be shortened if you use -E instead of -e. -E enables all extensions and new features of Perl (which aren't enabled with -e because of backwards compatibility). This allows you to use 'say' instead of 'print' which adds a trailing newline automatically and lets you drop the -l option (if you don't need the 'chomp' behaviour explained above):
$ perl -anE 'say $F[0]'
Of course, the AWK command line is still shorter - and that's expected, because AWK is more specialized than Perl.Still, Perl one liners are often very useful and can do other things better / shorter than AWK - especially if the one-liner uses one of the many libraries that are available for Perl.
A thorough reference of all Perl command line options is available at:
http://perldoc.perl.org/perlrun.html
or just: $ man perlrunOf course anything more complex than that, but not requiring the complexity of Perl/Ruby is generally best still done with Awk. In my world, that is a lot.
pi:~$ echo 'foo bar' | cut -d ' ' -f 2
pi:~$ echo 'foo bar' | awk '{print $2}'
bar pi:~$ echo 'foo bar' | tr -s ' ' | cut -d ' ' -f 2
it also outputs 'bar'. The -s (for "squeeze") option of tr turns every sequence of the specified character (space in this case) into one instance of this character.Of course, the awk solution is more succint and elegant in this case - I just think that tr -s / cut -d is handy to know from time to time, too.
pi:~$ echo ' foo' | tr -s ' ' | cut -d ' ' -f 1
pi:~$ echo ' foo' | awk '{print $1}'
fooI used it to find a house[1]. I needed to rent two apartments close to each other. I wrote some shell/awk scripts that take several real estate web sites as input, parse them, extract all data about apartments including URL, address and price, pipe the addresses into Google maps API, find the exact coordinates of all apartments, calculate distances between them and produce a list of pairs of apartments sorted by the distance between them. It works incredibly well, it routinely finds houses that are on the same street or apartments that are in the same building.
The first version of the code was written when I was in Vienna, looking for a house. It took me an evening.
The only thing that comes even close to this in power is perl, but I don't like perl, I think it's overkill when you only need to parse text, not do some other computation, and I did all this work under Plan9 which doesn't have perl anyway.
Oh, and what was most useful after all this was creating one liners for doing filtering, like finding pairs that had total cost under some value, total number of rooms above some value and distance between them in some interval. I found this one liners to be easier in awk then perl.
Your argument against awk because is 2011 is the same as saying let's drop C because it's 2011. Both C and awk solve some things well, for other things there are other languages.
I know Perl, I know Ruby, I know Brainfuck and I know Awk. I'm also not a masochist. I don't use Brainfuck but I use the hell out of Awk. Myself and other Awk users like 4ad here aren't using Awk because we're crazy, we've calculated effort/rewards/tradeoffs and come upon a solution.
I find people suggesting that others should or should not use various tools to be incredibly condescending. In doing so you are effectively refusing to recognize others as your peers. If you're Dijkstra and everyone around you has a hardon for GOTO, then be my guest, but you are not.
A few lines of Perl with Text::CSV is going to be much more robust, run faster, and take less time to get working.
Sounds to me like you're being a professional programmer. I'm not. I'm a self-taught amateur. I program a little for myself, a little for the school I work for and a bunch to do sysadmin tasks (for myself and the school). I don't worry all that much about the special cases of CSV. I look at the data, massage it a little before if I need to (usually that with awk, sed, etc. as well), then run it through awk and do the job. If the result isn't all perfect, I clean it up quickly by hand using Vim. In this kind of context, 'robust' doesn't mean anything to me. I'm not expecting to do the exact same task ever again. As for running faster, I call bullshit and remind you of this[1]. awk runs plenty fast - seconds or less for such cases. As for less time to get it working, I doubt it. I'm pretty quick with a hackish little awk script.
The bottom line for me is that I like awk. It's defaults make sense to me, it's fast, it's very flexible and powerful. Finding the right Perl module or Ruby gem, learning its API, opening my editor, etc. - that all takes time. For small, one-off jobs, it's not worth it.
I'm a lot faster not writing code than I am writing code, and when I have to write code, I write code much faster when I let the computer massage and clean up data.
Again, this isn't robust. It's not professional. No tests in advance. But it works for me day in, day out, every week.
Last thought from me - this is beginning to remind me of this slide from Mark Jason Dominus: http://perl.plover.com/yak/12views/samples/notes.html#sl-3,
"I mentioned this approach on the #perl IRC channel once, and I was immediately set upon by several people who said I was using the wrong approach, that I should not be shelling out for such a simple operation. Some said I should use the Perl File::Compare module; most others said I should maintain a database of MD5 checksums of the text files, and regenerate HTML for files whose checksums did not match those in the database.
I think the greatest contribution of the Extreme Programming movement may be the saying "Do the simplest thing that could possibly work." Programmers are mostly very clever people, and they love to do clever things. I think programmers need to try to be less clever, and to show more restraint. Using system("cmp -s $file1 $file2") is in fact the simplest thing that could possibly work. It was trivial to write, it's efficient, and it works. MD5 checksums are not necessary. I said as much on IRC.
People have trouble understanding the archaic language of "sufficient unto the day is the evil thereof," so here's a modern rendering, from the New American Standard Bible: "Do not worry about tomorrow; for tomorrow will care for itself. Each day has enough trouble of its own." (Matthew 6:34)
People on IRC then argued that calling cmp on each file was wasteful, and the MD5 approach would be more efficient. I said that I didn't care, because the typical class contains about 100 slides, and running cmp 100 times takes about four seconds. The MD5 thing might be more efficient, but it can't possibly save me more than four seconds per run. So who cares?"
I underestimate how much time it'll take me to do a job manually when I already have great tools to do it the right way all the time.
Maybe you're just that much better a programmer than I am--but I know when I need to parse something like CSV, Text::xSV will get it right without me having to think about whether there are any edge cases in the data at all. (If Text::xSV can't get it right, then there's little chance I will get it right in an ad hoc fashion.)
In the same way, I could write my own simple web server which listens on a socket, parses headers, and dumps files by resolving paths, or I could spend three minutes extending a piece of Plack middleware once and not worrying about the details of HTTP.
Again, maybe I'm a stickler about laziness and false laziness, but I tend to get caught up in the same cleverness MJD rightfully skewers. Maybe you're different, but part of my strategy for avoiding my own unnecessary cleverness is writing as little parsing code as I can get away with.
Who cares about what is better on paper? I have a life to live.
Usually the issues I find are things that invalidate the entire file, and indicate a problem further up the stream. In those cases I'm actually glad my script was not robust.
(I didn't mention "mixed formats", I mentioned the specific problems of e.g. ",":s (and possibly '"':s) in CSV. You will find such characters even in e.g. names, especially if entered by hand/ocr.)
(My converter script: https://github.com/brendano/tsvutils/blob/master/csv2tsv )
Anything that doesn't fit into 80 chars that way is usually a sure sign that it's time to reach for a real scripting language rather than brewing up one of those line-noise blobs.
Oh, and of course I don't mind when people use it on their shell-prompt.
I do mind when I run into crap like this in a shell-script:
awk -F'>' '{ pack[$1]=pack[$1] $2 } END {for (val in pack) print val ">", "(" pack[val] ")"}'When I 'grep awk /usr/bin/*' then I see only two types of usages.
Most commonly it's used in place of grep, sed or cut for no obvious reason. Gladly less common but all the more annoying is when someone tries to go all "fancy" with it...
It could be clearer without the variable-name golfing and as a seperate .awk file (instead of a CLI one-liner) but it reads pretty much the same as C without any pesky type declarations.
Awk is Turing-complete.
For any sort of script thats going to be run many times and may need to be improved or extended, readability is a huge plus.
"It's 2011, time for a sed v. awk religious war!"
Awk wasn't invented for lack of those things, Awk was invented to supplement those things. And for that purpose it is every bit as relevant today as it ever was.
P.S. Properly formatted, that awk line is perfectly sensible. I don't see what your issue here is.
(Case in point: University coursework - processing html. Not pretty)
Pretty easy to knock together a quick line of code for dealing with files where there are obviously columns though.