query-json is a faster, simpler and more portable implementation of the jq language in Reason distributed as a dependency-free binary thanks to the OCaml compiler, and distributed to the web with js_of_ocaml.
query-json allows you to write small programs to operate on top of json files with a concise syntax.
It was created with mostly two reasons, learning and having fun.
- Learn how to write a Programming Language with the OCaml stack using
menhir
andsedlex
with great error messages. - Create a CLI tool in Reason Native and being able to distribute it as a binary (for performance) and as a JavaScript library (for portability).
- Great Performance: Fast, small footprint and minimum run-time. Check Performance section for a longer explanation.
- Delightful errors:
- Better errors when json types and operation don't match:
$ query-json '.esy.release.wat' esy.json Error: Trying to ".wat" on an object, that don't have the field "wat": { "bin": ... }
debug
prints the tokens and the AST.verbose
flag, prints each operation in each state and it's intermediate states. (Work in progress...)
- Better errors when json types and operation don't match:
- Improved API: made small adjustments to the buildin operations. Some examples are:
- All methods are snake_case instead of alltoghetercase
- Added
filter(p)
as an alias formap(select(p))
- Supports comments in JSONs
- Small: Lexer, Parser and Compiler are just 300 LOC and most of the commands that I use on my day to day are implemented in only 140 LOC.
Check the content of scripts/install.sh before running anything in your local. Friends don't let friends curl | bash.
curl -sfL https://raw.githubusercontent.com/davesnx/query-json/master/scripts/install.sh | bash
npm install --global @davesnx/query-json
# or
yarn global add @davesnx/query-json
Download zip files from GitHub
I recommend to write the query in single-quotes inside the terminal, since writting JSON requires double-quotes for accessing properties.
NOTE: I have aliased query-json to be "q" for short, you can set it in your dotfiles.
alias q="query-json"
.
q '.' pokemons.json
cat pokemons.json | q '.'
q --kind=inline '.' '{ "bulvasur": { "id": 1, "power": 20 } }'
q '.' pokemons.json --no-colors
This report is not an exhaustive performance report of both tools, it's a overview for the percieved performance of the user. Here I don't profile each tool and try to see what are the bootlenecks, since I assume that both tools have the penalty of parsing a JSON file. Simply run a bash script and analyze the results.
Aside from that, query-json doesn't have feature parity with jq which is ok at this point, but jq contains a ton of functionality that query-json misses. Adding the missing operations on query-json won't affect the performance of it, that could not be true for features like "modules" or "tests", which they will not be implemented in query-json.
The report shows that query-json is between 2x and 5x faster than jq in all operations tested and same speed (~1.1x) with huge files (> 100M).
Badge | Meaning |
---|---|
✅ | Implemented |
Not implemented yet | |
🔴 | Won't implement |
--version
✅--kind
. This is different than jq ✅--kind=file
and the 2nd argument can be a json file--kind=inline
and the 2nd argument can be a json as a string
--no-color
. This disables colors ✅- ...rest
⚠️
- Identity:
.
✅ - Object Identifier-Index:
.foo
,.foo.bar
✅ - Optional Object Identifier-Index:
.foo?
✅ - Generic Object Index:
.[<string>]
✅ - Array Index:
.[2]
✅ - Pipe:
|
✅ - Array/String Slice:
.[10:15]
⚠️ - Array/Object Value Iterator:
.[]
✅ - Comma:
,
✅ - Parenthesis:
()
✅️
- Addition:
+
✅ - Subtraction:
-
✅ - Multiplication, division, modulo:
*
,/
, and%
✅ length
✅keys
✅map
✅select
✅has(key)
⚠️ in
⚠️ path(path_expression)
⚠️ to_entries
,from_entries
,with_entries
⚠️ any
,any(condition)
,any(generator; condition)
⚠️ all
,all(condition)
,all(generator; condition)
⚠️ flatten
✅range(upto)
,range(from;upto)
range(from;upto;by)
⚠️ floor
,sqrt
⚠️ tonumber
,tostring
⚠️ type
⚠️ infinite
,nan
,isinfinite
,isnan
,isfinite
,isnormal
⚠️ sort
,sort_by(path_expression)
✅group_by(path_expression)
⚠️ min, max, min_by(path_exp), max_by(path_exp)
⚠️ unique, unique_by(path_exp)
⚠️ reverse
⚠️ contains(element)
⚠️ index(s), rindex(s)
⚠️ startswith(str)
,endswith(str)
⚠️ explode
,implode
⚠️ split(str)
,join(str)
⚠️ while(cond; update)
,until(cond; next)
⚠️ recurse(f)
,recurse
,recurse(f; condition)
,recurse_down
⚠️ walk(f)
⚠️ transpose(f)
⚠️ - Format strings and escaping:
@text
,@csv
, etc.. 🔴
==
,!=
✅if-then-else
⚠️ >
,>=
,<=
,<
✅and
,or
,not
⚠️ break
🔴
Assignment ⚠️
Modules ⚠️
Contributions are what make the open source community such an amazing place to be, learn, inspire, and create. Any contributions you make are greatly appreciated. If you have any questions just contact me @twitter or email dsnxmoreno at gmail dot com.
I usually hang out at discord.gg/reasonml or reasonml.chat so feel free to ask anything there.
Requirements: esy
git clone https://github.com/davesnx/query-json
cd query-json
esy # installs
esy test # runs unit tests with [rely](https://reason-native.com/docs/rely), live under test/.
esy bin # Run binary
Thanks to @EduardoRFS. Thanks to all the authors of dependencies that this project relies on: menhir, sedlex, yojson. Thanks to the OCaml and Reason Native team.