It'd be great if the help text contained some examples rather than simply a pointer to the website, and if you added a man page. When you're in the middle of a terminal session, switching to a browser can be really disruptive.
Also, if you tag releases with a version number and make them available as downloads on GitHub, you'll have an easier time getting Jq into Homebrew, the OS X package manager. I wrote a formula for you, but AFAIK you'll need to add in a real version number before submitting a pull request to Homebrew: https://gist.github.com/3928074
Actually I bet there are a ton of people using JSON that don't have a c compiler. The technologies are spaces by several decades and I would imagine the majority of JSON people are using much higher level languages than c.
If I want to munge JSON I find it easier to do so in python, just convert it back to data structures and manipulate them and serialized it back to JSON.
I would usually use some other language with a JSON library as well, but this utility is conveniently one-function, after Unix fashion. I like composability. Also, a C compiler is usually on hand whether you use it or not; even if none is, they’re not exactly hard to obtain.
this intrigues me. while the widespread use of JSON as JSON is perhaps what differentiates it from what i'm about to describe i propose that the concept is an inevitable or obvious means of data representation/manipulation. As an arguably irrelevant anecdote to support this proposition I submit that prior to my personal introduction to the existence of JSON I was organizing data in strings and in txt files in a format nearly identical to basic JSON and writing simple functions to essentially do the same thing. I submit that I am not special or particularly clever and therefore the baller-coders that cometh before me certainly had to have their own types of crap like this. If i didn't have a tablet in class i probably would have had their names in my notes, but i digress.
tl;dr - While the advent of JSON's incarnation and that of C are several decades apart the underlying concepts are not.
tl;dr;dr - just realized your second sentence kinda says this.
title: Perl Object Environment, a library for event driven multitasking for the Perl programming language
url: http://duckduckgo.com/Perl_Object_Environment
1. I think your example shows sed/awk's failings with JSON data :) I don't want to write a JSON parser by hand every time I want to pull a field out of an object, and parsing recursive structures with regexes is never a good plan.
2. It reads JSON items from stdin into memory, one at a time. So if the input is a single giant JSON value, it all goes into memory, but if it's a series of whitespace-separated values they'll be processed sequentially.
1. But those are general statements. Opinions. What I mean is give me a specific case. A specific example, a specific block of JSON and a specific task. Once I have that, then I can ask myself "Is this something I would ever need to do or that I have to do on a regular basis?"
Sometimes I need to write one-off filters. There is just no getting around it. I have to choose a utility that gives maximum flexibility and is not too verbose; I don't like to type. Lots of people like Perl, and other similar scripting languages for writing one-off filters. But Perl, _out of the box_, is not a line-by-line filter. It's unlike sed/awk; it needs more memory. That brings us to #2.
2. If I understand correctly, jq is reading the entire JSON block into memory. This is what separates your program and so many other sed/awk "replacements" from sed and awk, the programs they purport to "replace". sed/awk don't read entire files into memory, they operate line-by-line and use a reasonably small buffer. Any sed/awk "replacement" would have to match that functionality. Given that sed/awk don't read in an entire structure (JSON, XML, etc.) before processing it, they are ideal for memory constrained environments. (As long as you don't overfill their buffers, which rarely happens in my experience.)
Anyway, so far I like this program. Best JSON filter I've seen yet (because I can hack on the lexer and parser you provided).
Also, if you tag releases with a version number and make them available as downloads on GitHub, you'll have an easier time getting Jq into Homebrew, the OS X package manager. I wrote a formula for you, but AFAIK you'll need to add in a real version number before submitting a pull request to Homebrew: https://gist.github.com/3928074