Giter Site home page Giter Site logo

json's Introduction

== Description

This is a implementation of the JSON specification according to RFC 4627
http://www.ietf.org/rfc/rfc4627.txt . Starting from version 1.0.0 on there
will be two variants available:

* A pure ruby variant, that relies on the iconv and the stringscan
  extensions, which are both part of the ruby standard library.
* The quite a bit faster C extension variant, which is in parts implemented
  in C and comes with its own unicode conversion functions and a parser
  generated by the ragel state machine compiler
  http://www.cs.queensu.ca/~thurston/ragel .

Both variants of the JSON generator escape all non-ASCII and control characters
with \uXXXX escape sequences, and support UTF-16 surrogate pairs in order to be
able to generate the whole range of unicode code points. This means that
generated JSON document is encoded as UTF-8 (because ASCII is a subset of
UTF-8) and at the same time avoids decoding problems for receiving endpoints,
that don't expect UTF-8 encoded texts. On the negative side this may lead to a
bit longer strings than necessarry.

All strings, that are to be encoded as JSON strings, should be UTF-8 byte
sequences on the Ruby side. To encode raw binary strings, that aren't UTF-8
encoded, please use the to_json_raw_object method of String (which produces
an object, that contains a byte array) and decode the result on the receiving
endpoint.

The JSON parsers can parse UTF-8, UTF-16BE, UTF-16LE, UTF-32BE, and UTF-32LE
JSON documents under Ruby 1.8. Under Ruby 1.9 they take advantage of Ruby's
M17n features and can parse all documents which have the correct
String#encoding set. If a document string has ASCII-8BIT as an encoding the
parser attempts to figure out which of the UTF encodings from above it is and
trys to parse it.

== Installation

It's recommended to use the extension variant of JSON, because it's faster than
the pure ruby variant. If you cannot build it on your system, you can settle
for the latter.

Just type into the command line as root:

  # rake install

The above command will build the extensions and install them on your system.

  # rake install_pure

or

  # ruby install.rb

will just install the pure ruby implementation of JSON.

If you use Rubygems you can type

  # gem install json

instead, to install the newest JSON version.

There is also a pure ruby json only variant of the gem, that can be installed
with:

  # gem install json_pure

== Compiling the extensions yourself

If you want to build the extensions yourself you need rake:

  You can get it from rubyforge:
    http://rubyforge.org/projects/rake

  or just type

  # gem install rake

  for the installation via rubygems.

If you want to create the parser.c file from its parser.rl file or draw nice
graphviz images of the state machines, you need ragel from: http://www.cs.queensu.ca/~thurston/ragel


== Usage

To use JSON you can
  require 'json'
to load the installed variant (either the extension 'json' or the pure
variant 'json_pure'). If you have installed the extension variant, you can
pick either the extension variant or the pure variant by typing
  require 'json/ext'
or
  require 'json/pure'

Now you can parse a JSON document into a ruby data structure by calling

  JSON.parse(document)

If you want to generate a JSON document from a ruby data structure call
  JSON.generate(data)

You can also use the pretty_generate method (which formats the output more
verbosely and nicely) or fast_generate (which doesn't do any of the security
checks generate performs, e. g. nesting deepness checks).

To create a valid JSON document you have to make sure, that the output is
embedded in either a JSON array [] or a JSON object {}. The easiest way to do
this, is by putting your values in a Ruby Array or Hash instance.

There are also the JSON and JSON[] methods which use parse on a String or
generate a JSON document from an array or hash:

  document = JSON 'test'  => 23 # => "{\"test\":23}"
  document = JSON['test'] => 23 # => "{\"test\":23}"

and

  data = JSON '{"test":23}'  # => {"test"=>23}
  data = JSON['{"test":23}'] # => {"test"=>23}

You can choose to load a set of common additions to ruby core's objects if
you
  require 'json/add/core'

After requiring this you can, e. g., serialise/deserialise Ruby ranges:

  JSON JSON(1..10) # => 1..10

To find out how to add JSON support to other or your own classes, read the
section "More Examples" below.

To get the best compatibility to rails' JSON implementation, you can
  require 'json/add/rails'

Both of the additions attempt to require 'json' (like above) first, if it has
not been required yet.

== More Examples

To create a JSON document from a ruby data structure, you can call
JSON.generate like that:

 json = JSON.generate [1, 2, {"a"=>3.141}, false, true, nil, 4..10]
 # => "[1,2,{\"a\":3.141},false,true,null,\"4..10\"]"

To get back a ruby data structure from a JSON document, you have to call
JSON.parse on it:

 JSON.parse json
 # => [1, 2, {"a"=>3.141}, false, true, nil, "4..10"]

Note, that the range from the original data structure is a simple
string now. The reason for this is, that JSON doesn't support ranges
or arbitrary classes. In this case the json library falls back to call
Object#to_json, which is the same as #to_s.to_json.

It's possible to add JSON support serialization to arbitrary classes by
simply implementing a more specialized version of the #to_json method, that
should return a JSON object (a hash converted to JSON with #to_json) like
this (don't forget the *a for all the arguments):

 class Range
   def to_json(*a)
     {
       'json_class'   => self.class.name, # = 'Range'
       'data'         => [ first, last, exclude_end? ]
     }.to_json(*a)
   end
 end

The hash key 'json_class' is the class, that will be asked to deserialise the
JSON representation later. In this case it's 'Range', but any namespace of
the form 'A::B' or '::A::B' will do. All other keys are arbitrary and can be
used to store the necessary data to configure the object to be deserialised.

If a the key 'json_class' is found in a JSON object, the JSON parser checks
if the given class responds to the json_create class method. If so, it is
called with the JSON object converted to a Ruby hash. So a range can
be deserialised by implementing Range.json_create like this:

 class Range
   def self.json_create(o)
     new(*o['data'])
   end
 end

Now it possible to serialise/deserialise ranges as well:

 json = JSON.generate [1, 2, {"a"=>3.141}, false, true, nil, 4..10]
 # => "[1,2,{\"a\":3.141},false,true,null,{\"json_class\":\"Range\",\"data\":[4,10,false]}]"
 JSON.parse json
 # => [1, 2, {"a"=>3.141}, false, true, nil, 4..10]

JSON.generate always creates the shortest possible string representation of a
ruby data structure in one line. This is good for data storage or network
protocols, but not so good for humans to read. Fortunately there's also
JSON.pretty_generate (or JSON.pretty_generate) that creates a more readable
output:

 puts JSON.pretty_generate([1, 2, {"a"=>3.141}, false, true, nil, 4..10])
 [
   1,
   2,
   {
     "a": 3.141
   },
   false,
   true,
   null,
   {
     "json_class": "Range",
     "data": [
       4,
       10,
       false
     ]
   }
 ]

There are also the methods Kernel#j for generate, and Kernel#jj for
pretty_generate output to the console, that work analogous to Core Ruby's p and
the pp library's pp methods.

The script tools/server.rb contains a small example if you want to test, how
receiving a JSON object from a webrick server in your browser with the
javasript prototype library http://www.prototypejs.org works.

== Speed Comparisons

I have created some benchmark results (see the benchmarks/data-p4-3Ghz
subdir of the package) for the JSON-parser to estimate the speed up in the C
extension:

 Comparing times (call_time_mean):
  1 ParserBenchmarkExt#parser   900 repeats:
        553.922304770 (  real) ->   21.500x 
          0.001805307
  2 ParserBenchmarkYAML#parser  1000 repeats:
        224.513358139 (  real) ->    8.714x 
          0.004454078
  3 ParserBenchmarkPure#parser  1000 repeats:
         26.755020642 (  real) ->    1.038x 
          0.037376163
  4 ParserBenchmarkRails#parser 1000 repeats:
         25.763381731 (  real) ->    1.000x 
          0.038814780
            calls/sec (  time) ->    speed  covers
            secs/call

In the table above 1 is JSON::Ext::Parser, 2 is YAML.load with YAML
compatbile JSON document, 3 is is JSON::Pure::Parser, and 4 is
ActiveSupport::JSON.decode. The ActiveSupport JSON-decoder converts the
input first to YAML and then uses the YAML-parser, the conversion seems to
slow it down so much that it is only as fast as the JSON::Pure::Parser!

If you look at the benchmark data you can see that this is mostly caused by
the frequent high outliers - the median of the Rails-parser runs is still
overall smaller than the median of the JSON::Pure::Parser runs:

 Comparing times (call_time_median):
  1 ParserBenchmarkExt#parser   900 repeats:
        800.592479481 (  real) ->   26.936x 
          0.001249075
  2 ParserBenchmarkYAML#parser  1000 repeats:
        271.002390644 (  real) ->    9.118x 
          0.003690004
  3 ParserBenchmarkRails#parser 1000 repeats:
         30.227910865 (  real) ->    1.017x 
          0.033082008
  4 ParserBenchmarkPure#parser  1000 repeats:
         29.722384421 (  real) ->    1.000x 
          0.033644676
            calls/sec (  time) ->    speed  covers
            secs/call

I have benchmarked the JSON-Generator as well. This generated a few more
values, because there are different modes that also influence the achieved
speed:

 Comparing times (call_time_mean):
  1 GeneratorBenchmarkExt#generator_fast    1000 repeats:
        547.354332608 (  real) ->   15.090x 
          0.001826970
  2 GeneratorBenchmarkExt#generator_safe    1000 repeats:
        443.968212317 (  real) ->   12.240x 
          0.002252414
  3 GeneratorBenchmarkExt#generator_pretty  900 repeats:
        375.104545883 (  real) ->   10.341x 
          0.002665923
  4 GeneratorBenchmarkPure#generator_fast   1000 repeats:
         49.978706968 (  real) ->    1.378x 
          0.020008521
  5 GeneratorBenchmarkRails#generator       1000 repeats:
         38.531868759 (  real) ->    1.062x 
          0.025952543
  6 GeneratorBenchmarkPure#generator_safe   1000 repeats:
         36.927649925 (  real) ->    1.018x 7 (>=3859)
          0.027079979
  7 GeneratorBenchmarkPure#generator_pretty 1000 repeats:
         36.272134441 (  real) ->    1.000x 6 (>=3859)
          0.027569373
            calls/sec (  time) ->    speed  covers
            secs/call

In the table above 1-3 are JSON::Ext::Generator methods. 4, 6, and 7 are
JSON::Pure::Generator methods and 5 is the Rails JSON generator. It is now a
bit faster than the generator_safe and generator_pretty methods of the pure
variant but slower than the others.

To achieve the fastest JSON document output, you can use the fast_generate
method. Beware, that this will disable the checking for circular Ruby data
structures, which may cause JSON to go into an infinite loop.

Here are the median comparisons for completeness' sake:

 Comparing times (call_time_median):
  1 GeneratorBenchmarkExt#generator_fast    1000 repeats:
        708.258020939 (  real) ->   16.547x 
          0.001411915
  2 GeneratorBenchmarkExt#generator_safe    1000 repeats:
        569.105020353 (  real) ->   13.296x 
          0.001757145
  3 GeneratorBenchmarkExt#generator_pretty  900 repeats:
        482.825371244 (  real) ->   11.280x 
          0.002071142
  4 GeneratorBenchmarkPure#generator_fast   1000 repeats:
         62.717626652 (  real) ->    1.465x 
          0.015944481
  5 GeneratorBenchmarkRails#generator       1000 repeats:
         43.965681162 (  real) ->    1.027x 
          0.022745013
  6 GeneratorBenchmarkPure#generator_safe   1000 repeats:
         43.929073409 (  real) ->    1.026x 7 (>=3859)
          0.022763968
  7 GeneratorBenchmarkPure#generator_pretty 1000 repeats:
         42.802514491 (  real) ->    1.000x 6 (>=3859)
          0.023363113
            calls/sec (  time) ->    speed  covers
            secs/call

== Author

Florian Frank <mailto:[email protected]>

== License

Ruby License, see the COPYING file included in the source distribution. The
Ruby License includes the GNU General Public License (GPL), Version 2, so see
the file GPL as well.

== Download

The latest version of this library can be downloaded at

* http://rubyforge.org/frs?group_id=953

Online Documentation should be located at

* http://json.rubyforge.org

json's People

Contributors

flori avatar nurse avatar abhiyerra avatar josh avatar bira avatar

Stargazers

Mathias Biilmann avatar

Watchers

Mathias Biilmann avatar James Cloos avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.