fastJSON--arvin推荐

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Preface

The code is now on CodePlex athttp://fastjson.codeplex.com/. I will do my best to keep this article and the source code on CodePlex in sync.

Introduction

This is the smallest and fastest polymorphic JSON serializer,smallest because it's only 25kb when compiled,fastest becausemost of the timeit is (see performance test section) and polymorphic because it can serialize and deserialize the following situation correctly at run-time with what ever object you throw at it:

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class animal { public string Name { get; set;} }class cat: animal { public int legs { get; set;} }class dog : animal { public bool tail { get; set;} }class zoo { public List<animal> animals { get; set;} }var zoo1 = new zoo();zoo1.animals = new List<animal>();zoo1.animals.Add(new cat());zoo1.animals.Add(new dog());

This is a very important point because it simplifies your coding immensely and is a cornerstone of object orientated programming,strangely few serializers handle this situation,even theXmlSerializerin .NET doesn't do this and you have to jump through hoops to get it to work. Also this is a must if you want to replace the BinaryFormatter serializer which what most transport protocols use in applications and can handle any .NET object structure (see my WCF Killer article).

The What and Why of JSON

JSON (Java Script Object Notation) is a text or human readable format invented by Douglas Crockford around 1999 primarily as a data exchange format for web applications (seewww.JSON.org). The benefits of which are ( in regards to XML which was used before):

  • Structured data format like XML
  • High signal to noise ratio in other words it does away with extra characters which are not conclusive to the data ( angle brackets and slashes in XML)
  • Compact data format
  • Simple parsing rules which makes the processing of data easy and fast

So its good for the following scenarios:

  • Data exchange between same or different platforms like Java,.NET services over the wire.
  • Data storage: MongoDB (www.mongodb.org) uses JSON as an internal storage format.

Features of this implementation

  • Just 3 classes + 2 helpers : 1158 lines of code
  • JSON standard compliant with the following additions
    • "$type" is used to denote object type information [ Json.NET does this as well ].
    • "$schema" is used to denote the dataset schema information
    • "$map" is used for post processing runtime types when assigned to theobjecttype.
    • "$types" is used for global type definition where the instances reference this dictionary of types via a number ( reduces JSON size for large number of embedded types)
  • Works on .NET 2.0+ : some implementations in the list of alternatives below require at least .NET 3.5
  • Extremely small size : 25kb when compiled
  • Blazingly fast (see the performance tests section)
  • Can dynamically create types
  • HandlesGuid,Dataset,0)">Dictionary,0)">HashtableandGenericlists
  • HandlesNullabletypes
  • Handles byte arrays as base64 strings
  • Handles polymorphic collections of objects
  • Thread safe
  • Handles value type arrays (e.g.int[]char[]etc.)
  • Handles value type generic lists (e.g.List<int>etc.)
  • Handles special caseList<object[]>(useful for bulk data transfer)
  • Handles Embedded Classes (e.g.Sales.Customer)
  • Handles polymorphicobjecttype deserialized to original type (e.gobject ReturnEntity = Guid,DataSet,valuetype,new object[] { object1,object2 }) [needed for wire communications].
  • Ability to disable extensions when serializing for the JSON purists (e.g. no$type,0)">$mapin the output).
  • Ability to deserialize standard JSON into a type you give to the deserializer,no polymorphism is guaranteed.
  • Special case optimized output forDictionary<string,string>.
  • Overridenullvalue outputs.
  • HandlesXmlIgnoreattributes on properties.
  • Datatablesupport.
  • Indented JSON output viaIndentOutputproperty.
  • Support for SilverLight 4.0+.
  • RegisterCustomType()for user defined and non-standard types that are not built into fastJSON (likeTimeSpan,0)">Point,etc.).
    • This feature must be enabled via theCUSTOMTYPEcompiler directive as there is about a 1% performance hit.
    • You supply the serializer and deserializer routines as delegates.
  • Added support for public Fields.
  • AddedShowReadOnlyPropertiesto control the output of readonly properties (default isfalse= won't be outputted).
  • Automatic UTCdatetimeconversion if the date ends in "Z" (JSON standard compliant now).
  • AddedUseUTCDateTimeproperty to control the output of UTCdatetimes.
  • Anonymous Typesin the serializer (deserializer is not possible at the moment)

Limitations

  • Currently can't deserialize value type array properties (e.g.char[]etc.)
  • Currently can't handle multi dimensional arrays.
  • Silverlight 4.0+ support lacksHashTable,0)">DataSet,0)">DataTableas it is not part of the runtime.

What's out there

In this section I will discuss some of the JSON alternatives that I have personally used. Although I can't say it is a comprehensive list,it does however showcase the best of what is out there.

XML

If you are using XML,thendon't. It's too slow and bloated,it does deserve an honorable mention as being the first thing everyone uses,but serIoUsly don't. It's about50 times slowerthan the slowest JSON in this list. The upside is that you can convert to and from JSON easily.

BinaryFormatter

Probably the most robust format for computer to computer data transfer. It has a pretty good performance although some implementation here beat it.

Pros Cons
  • Can handle anything with a Serializable attribute on it
  • Pretty compact output
  • Version unfriendly : must be deserialized into the exact class that was serialized
  • Not good for storing of data because of the versioning problem
  • Not human readable
  • Not for communication outside of the same platform (e.g. both sides must be .NET)

Json.NET

The most referenced JSON serializer for the .NET framework is Json.NET from (http://JSON.codeplex.com/) and the blog site (http://james.newtonking.com/pages/JSON-net.aspx). It was the first JSON implementation I used in my own applications.

Pros Cons
  • Robust output which can handle datasets
  • First implementation I saw which could handle polymorphic object collections
  • Large dll size ~320kb
  • Slow in comparison to the rest in the list
  • Source code is hard to follow as it is large

LitJSON

I had to look around a lot to find this gem (http://litjson.sourceforge.NET/),which is still at version 0.5 since 2007. This was what I was using before my own implementation and it replaced the prevIoUs JSON serializer which was Json.NET. Admittedly I had to change the original to fit the requirements stated above.

Pros Cons
  • Can do all that Json.NET does (after my changes).
  • Small dll size ~57kb
  • Relatively fast
  • Didn't handle datasets in the original source code ( I wrote it my self afterwards in my own application)
  • The lexer class is difficult to follow
  • Requires .NET 3.5 ( Got around this limitation by implementing a Linqbridge class which works with .NET 2.0)

ServiceStack Serializer

An amazingly fast JSON serializer from Demis Bellot found at (http://www.servicestack.NET/mythz_blog/?p=344). The serializer speed is astonishing,although it does not support what is needed from the serializer. I have included it here as a measure of performance.

Pros Cons
  • Amazingly fast serializer
  • Pretty small dll size ~91kb
  • Can't handle polymorphic object collections
  • Requires at least .NET 3.5
  • Fails on Nullable types
  • Fails on Datasets
  • Fails on other "exotic" types like dictionaries,hash tables etc.

Microsoft Json Serializer (v1.7 update)

By popular demand and my prevIoUs ignorance about the Microsoft JSON implementation and thanks to everyone who pointed this out to me,I have added this here.

Pros Cons
  • Included in the framework
  • Can serialize basic polymorphic objects
  • Can't deserialize polymorphic objects
  • Fails on Datasets
  • Fails on other "exotic" types like dictionaries,hash tables etc.
  • 4x slower that fastJSON in serialization

Using the code

To use the code do the following:

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// to serialize an object to stringstring jsonText = fastJSON.JSON.Instance.ToJSON(c); to deserialize a string to an objectvar newobj = fastJSON.JSON.Instance.ToObject(jsonText);

The main class is JSON which is implemented as a singleton so it can cache type and property information for speed.

Additions in v1.7.5

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 you can set the defaults for the Instance which will be used for all callsJSON.Instance.USEOptimizedDatasetSchema = true;  you can control the serializer dataset schemaJSON.Instance.UseFastGuid = true;                enable disable fast GUID serializationJSON.Instance.UseSerializerExtension = true;     enable disable the $type and $map inn the output you can do the same as the above on a per call basispublic string ToJSON(object obj,bool enableSerializerExtensions)public string ToJSON(object obj,bool enableSerializerExtensions,bool enableFastGuid)public string ToJSON(object obj,bool enableFastGuid,bool enableOptimizedDatasetSchema) Parse will give you a Dictionary<string,object> with ArrayList representation of the JSON inputpublic object Parse(string json) if you have disabled extensions or are getting JSON from other sources then you must specify the deserialization type in one of the following wayspublic T ToObject<T>(string json)public object ToObject(string json,Type type)

Additions v1.7.6

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JSON.Instance.SerializeNullValues = true;     enable disable null values to outputpublic string ToJSON(object obj,bool enableOptimizedDatasetSchema,bool serializeNulls) 

Additions v1.8

For all those who requested why there is no support for type "X",I have implemented a open closed principal extension to fastJSON which allows you to implement your own routines for types not supported without going through the code.

To allow this extension you must compile withCUSTOMTYPEcompiler directive as there is a performance hit associated with it.

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public void main(){     fastJSON.JSON.Instance.RegisterCustomType(typeof(TimeSpan),tsser,tsdes);      do some work as normal}private static string tsser(object data){     return ((TimeSpan)data).Ticks.ToString();}private static object tsdes(string data){     return new TimeSpan(long.Parse(data))}

Performance Tests

All test were run on the following computer:

  • AMD K625 1.5Ghz Processor
  • 4Gb Ram DDR2
  • Windows 7 Home Premium 64bit
  • Windows Rating of 3.9

The tests were conducted under three different .NET compilation versions

  • .NET 3.5
  • .NET 4 with processor type set to auto
  • .NET 4 with processor type set to x86

The Excel screen shots below are the results of these test with the following descriptions:

  • The numbers are elapsed time inmilliseconds.
  • The moreredthe background theslowerthe times
  • The moregreenthe background thefasterthe times.
  • 5 tests were conducted for each serializer.
  • The "AVG" column is the average for the last 4 tests excluding the first test which is basically the serializer setting up its internal caching structures,and the times are off.
  • The "min" row is the minimum numbers in the respective columns below.
  • The Json.NET serializer was tested with two version of 3.5r6 and 4.0r1 which is the current one.
  • "bin" is the BinaryFormatter tests which for reference.
  • The test structure is the code below which is a 5 time loop with an inner processing of 1000 objects.
  • Some data types were removed from the test data structure so all serializers could work.

The test code template

The following is the basic test code template,as you can see it is a loop of 5 tests of what we want to test each done count time (1000 times). The elapsed time is written out to the console with tab formatting so you can pipe it to a file for easier viewing in an Excel spreadsheet.

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int count = 1000;private static void fastjson_serialize(){	Console.WriteLine();	Console.Write("fastjson serialize");	for (int tests = 0; tests < 5; tests++)	{		DateTime st = DateTime.Now;		colclass c;		string jsonText = null;		c = CreateObject();		for (int i = 0; i < count; i++)		{			jsonText = fastJSON.JSON.Instance.ToJSON(c);		}		Console.Write("\t" + DateTime.Now.Subtract(st).TotalMilliseconds + "\t");	}}

The test data structure

The test data are the following classes which show the polymorphic nature we want to test. The "colclass" is a collection of these data structures. In the attached source files more exotic data structures like Hashtables,Dictionaries,Datasets etc. are included.

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[Serializable()]public class baseclass{    public string Name { get; set; }    public string Code { get; set; }}[Serializable()]public class class1 : baseclass{    public Guid guid { get; set; }}[Serializable()]public class class2 : baseclass{    public string description { get; set; }}[Serializable()]public class colclass{    public colclass()    {        items = newList<baseclass>();        date = DateTime.Now;        multilineString = @"        AJKLjaskljLA   ahjksjkAHJKS   AJKHSKJhaksjhAHSJKa   AJKSHajkhsjkHKSJKash   ASJKhasjkKASJKahsjk        ";        gggg = Guid.NewGuid();        hash = new Hashtable();        isNew = true;        done= true;    }    public bool done { get; set; }    public DateTime date {get; set;}    public DataSet ds { get; set; }    public string multilineString { get; set; }    public List<baseclass> items { get; set; }    public Guid gggg {get; set;}    public decimal? dec {get; set;}    public bool isNew { get; set; }    public Hashtable hash { get; set; }} 

.NET 3.5 Serialize

  • fastJSON is second place in this test by a margin of nearly 35% slower than Stacks.
  • fastJSON is nearly 2.9x faster than binary formatter.
  • Json.NET is nearly 1.9x slower in the new version 4.0r1 against its prevIoUs version of 3.5r6
  • Json.NET v3.5r6 is nearly 20% faster than binary formatter.

.NET 3.5 Deserialize

  • fastJSON is first place in this test to Stacks by a margin of 10%.
  • fastJSON is nearly 4x faster than nearest other JSON.
  • Json.NET is nearly 1.5x faster in version 4.0r1 than its prevIoUs version of 3.5r6
  • .NET 4 Auto Serialize

  • fastJSON is first place in this test by a margin of nearly 20% against Stacks.
  • fastJSON is nearly 4.9x faster than binary formatter.
  • Json.NET v3.5r6 is on par with binary formatter.
  • .NET 4 Auto Deserialize

    • fastJSON is first place by a margin of 11%.
    • fastJSON is 1.7x faster than binary formatter.
    • Json.NET v4 1.5x faster than its prevIoUs version.

    .NET 4 x86 Serialize

    • fastJSON is first place in this test by a margin of nearly 21% against Stacks.
    • fastJSON is 4x faster than binary formatter.
    • Json.NET v3.5r6 1.7x faster than the previuos version.

    .NET 4 x86 Deserialize

    • fastJSON is first place by a margin of 5% against Stacks.
    • fastJSON is 1.7x faster than binary formatter which is third.

    Exotic data type tests

    In this section we will see the performance results for exotic data types like datasets,hash tables,dictionaries,etc.. The comparison is between fastJSON and the BinaryFormatter as most of the other serializers can't handle these data types. These include the following:

    • Datasets
    • Nullable types
    • Hashtables
    • Dictionaries

  • fastJSON is 5x faster than BinaryFormatter in serialization
  • fastJSON is 20% faster than BinaryFormatter in deserialization
  • Datasets are performance killers by a factor of 10
  • Performance Conclusions

    • fastJSON is faster in all test except the when running the serializer under .NET 3.5 for which Stacks is faster by only 35% (note must be made that Stacks is not polymorphic and can't handle all types so it is not outputting data correctly within the tests).
    • .NET 4 is faster than .NET 3.5 by around 15% in these test except for the fastJSON serializer which is 90% faster..
    • You can replace BinaryFormatter with fastJSON with a huge performance boost ( this lean way lends it self to compression techniques on the text output also).
    • Start up costs for fastJSON is on average 2x faster than Stacks and consistently faster than everyone else.

    Performance Conclusions v1.4

    As you can see from the above picture v1.4 is noticably faster. The speed boost make fastJSON faster than SerializerStack in all tests even on .net v3.5.

    • fastJSON serializer is 6.7x faster than binary with a dataset.
    • fastJSON deserializer is 2.1x faster than binary with a dataset.
    • fastJSON serializer is 6.9x faster than binary without a dataset.
    • fastJSON deserializer is 1.6x faster than binary without a dataset.

    Performance Conclusions v1.5

  • The numbers speak for themselves fastJSON serializer 6.65x faster without dataset and 6.88x faster than binary,the deserializer is 2.7x faster than binary.
  • The difference in numbers in v1.5 which is slower than v1.4 is because of extra properties in the test for Enums etc.
  • Performance Conclusions v1.6

  • Guidare 2x faster now with base64 encoding you can revert back to old style with theUseFastGuid = falseon the JSON.Instance
  • Datasetsare ~40% smaller and ~35% faster.
  • fastJSON serializer is now ~2.3x faster than deserializer and the limit seems to be 2x.
  • Performance Conclusions v1.7

    int,0)">longparse are 4x faster.

  • unicode string optimizations,reading and writing non english strings are faster.
  • ChangeTypemethod optimized
  • Dictionaryoptimized usingTryGetValue
  • Points of Interest

    I did a lot of performance tuning with a profiler and here are my results:

    • Always use a StringBuilder and never strings concats.
    • Never do the following stringbuilder.append("string1 + "string2") because it kills performance,replace it with two stringbuilder appends. This point blew my mind and was 50% faster in my tests with the profiler.
    • Never give the stringbuilder a capacity value to start with e.g. var stringbuilder = new StringBuilder(4096); . Strange but it is faster without it.
    • I tried replacing the StringBuiler with a MemoryStream but it was too slow (100% slower).
    • The simplest and the most direct way is probably the fastest as well,case in point reading values as opposed to lexer parser implementations.
    • Always use cached reflection properties on objects.

    Appendix v1.9.8

    Some reformatting was done to make the use of fastJSON easier in this release which will break some code but is ultimately better in the long run. To use the serializer in this version you can do the following :

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     per call customization of the serializerstring str = fastJSON.JSON.Instance.ToJSON(obj,new fastJSON.JSONParamters { EnableAnonymousTypes = true });  using the parametersfastJSON.JSON.Instance.Parameters.UseExtensions = false;  set globally

    This removes a lot of theToJSONoverloads and gives you more readable code.

    Also in this release support for anonymous types has been added,this will give you a JSON string for the type,but deserialization is not possible at the moment since anonymous types are compiler generated.

    DeepCopyhas been added which allows you to create an exact copy of your objects which is useful for business application rollback/cancel semantics.

    Appendix v2.0.0

    Finally got round to adding Unit Tests to the project (mostly because of some embarrassing bugs that showed up in the changes),hopefully the tests cover the majority of use cases,and I will add more in the future.

    Also by popular demand you can now deseialize root level basic value types,Lists and Dictionaries. So you can use the following style code :

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    var o = fastJSON.JSON.Instance.ToObject<List<Retclass>>(s);  return a generic listvar o = fastJSON.JSON.Instance.ToObject<Dictionary<Retstruct,Retclass>>(s);  return a dictionary

    A breaking change in this version is theParse()method now returns number formats aslonganddecimalnotstringvalues,this was necessary for array returns and compliance with the json format (keep the type information in the original json,and not loose it to strings). So the following code is now working :

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    List<int> ls = new List<int>();ls.AddRange(new int[] { 1,2,3,4,5,10 }); var s = fastJSON.JSON.Instance.ToJSON(ls);var o = fastJSON.JSON.Instance.ToObject(s);  long[] {1,2,3,4,5,10}

    Be aware that if you do not supply the type information the return will belongs notints. To get what you expect use the following style code:

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    var o = fastJSON.JSON.Instance.ToObject<List<int>>(s);  you get List<int>

    Check the unit test project for sample code regarding the above cases.

    Appendix v2.0.3 - Silverlight Support

    Microsoft in their infinate wisdom has removed some functionality which was in Silverlight4 from Silverlight5. SofastJSONwill not build or work on Silverlight5.

    Appendix v2.0.10 - MonoDroid Support

    In this release I have added a MonoDroid project file andfastJSONnow compiles and works on Android devices running the excellent work done byMiguel de Icazaand his team at Xamarin. This is what Silverlight should have been and I am really excited about this as it will open a lot of opportunities one of which is the newRaptorDB.

    Appendix v2.0.11 - Unicode Changes

    My apologies to everyone regarding my misreading of the JSON standard regarding Unicode,my interpretation was that the output should be in ASCII format and hence all non ASCII characters should be in the \uxxxx format.

    In this version you can control the output format with theUseEscapedUnicodeparameter and all the strings will be in Unicode format (no \uxxxx),the default is true for backward compatibility.

    Appendix - fastJSON vs Json.net rematch

    After being contacted byJames Newton Kingfor a retest with his new version ofJson.netwhich isv5r2,I redid the tests and here is the results (times are inmilliseconds):

    As you can see there are 5 test and the AVG column is the average of the last 4 tests so to exclude the startup of each library,the DIFF column is the difference between the two libraries andfastJSONbeing the base of the test.

    Things to note :

      fastJSONis about2xfaster thanJson.netin both serialize and deserialize.
    • Json.netis about1.5-2xfaster that it's prevIoUs versions which is a great job of optimizatons done and congratualtions in order.

    Appendix v2.0.17 - dynamic objects

    By popular demand the support fordynamicobjects has been added so you can do the following withfastJSON:

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    string s = "{\"Name\":\"aaaaaa\",\"Age\":10,\"dob\":\"2000-01-01 00:00:00Z\",\"inner\":{\"prop\":30}}";dynamic d = fastJSON.JSON.Instance.ToDynamic(s);var ss = d.Name;var oo = d.Age;var dob = d.dob;var inp = d.inner.prop; 

    Previous Versions

    You can check out prevIoUs versions offastJSONhere.

    History

    • Initial Release: 2011/02/20
    • Update v1.1: 26% performance boost on dataset deserialization,corrected ServiceStack name
    • Update v1.2: System.DBNull serialized to null,CultureInfo fix for numbers,Readonly properties handled correctly
    • Update v1.3: Removed unused code (lines now at 780),Property comma fix
    • Update v1.4: Heavy optimizations (serializer 3% faster,deserializer 50% faster,dataset serializer 46% faster,dataset deserializer 26% faster) [ now officially faster than the serializer ServiceStack in all test even on .net 3.5]
    • Update v1.5: Heavy optimizations (deserializer ~50% faster than v1.4),Enum fix,Max Depth property for serializer. Special thanks and credits toSimon Hewittfor optimizations in this version.
    • Update v1.6:
      • value type arrays handled
      • guid 2x faster
      • datasets ~40% smaller
      • serializer ~2% to 11% faster
      • deserializer ~6% to 38% faster
    • Update v1.7:
      • added microsoft json evaluation
      • added consoletest project to downloads for testing newer exotic types
      • bug fix dictionary deserialize
      • special case handles List<object[]>
      • int and long parse 4x faster
      • unicode string optimize
      • changetype optimize
      • dictionary optimize
      • deserialize embeded class e.g. Sales.Customer
      • safedictionary check before add
      • handles object ReturnEntity = new object[] { object1,object2 }
      • handles object ReturnEntity = Guid,Dataset,valuetype
    • Update v1.7.5:
      • ability to serialize without extensions
      • overloaded methods for serialize and deserialize
      • the deserializer will do its best to deserialize the input with or without extensions with no gaurantee on polymorphism
    • Update v1.7.6:
      • XmlIgnore handled : thanks toPatrik OscaRSSonfor the idea
      • special case optimized output for dictionary of string,string
      • bug fix year 1 date output as 0000 string
      • override serialize nulls to output : thanks again to Patrik
    • Update v1.7.7:
      • Indented output
      • Datatable support
      • bug fix
    • Update v1.7.7 Silverlight4: 4thJune 2011
      • A new project added for silverlight4,currently in testing phase will add to main zip when all ok.
      • Silverlight lacks arraylist,dataset,datatable,hashtable support
      • #if statements in source files for silverlight4 support.
    • Update v1.8: 9thJune 2011
      • Silverlight code merged into the project
      • Seperate Silverlight project
      • RegisterCustomType extension for user defined serialization routines
      • CUSTOMTYPE compiler directive
    • Update v1.9: 28thJune 2011
      • added support for public fields
    • Update v1.9.1: 30thJune 2011
      • fixed a shameful bug when SerializeNullValues = false,special thanks toGrant Birchmeierfor testing
    • Update v1.9.2: 10thJuly 2011
      • fixed to fullname instead of name when searching for types in property cache (namespace1.myclass,namespace2.myclass are now different) thanks toalex211b
    • Update v1.9.3: 31stJuly 2011
      • UTC datetime handling via UseUTCDateTime = true property thanks tomrkappa
      • added support for enum as key in dictionary thanks toGrant Birchmeier
    • Update v1.9.4: 23rdSeptember 2011
      • ShowReadOnlyProperties added for exporting readonly properties (default = false)
      • if datetime value ends in "Z" then automatic UTC time calculated
      • if using UTC datetime the output end in a "Z" (standards compliant)
    • Update v1.9.6: 26thNovember 2011
      • bug fix datatable schema serialize & deserialize
      • added a $types extension for global type definitions which reduce the size of the output json thanks toMarc Bayéfor the idea
      • added UsingGlobalTypes config for controling the above (default = true)
      • bug fix datatable commas between arrays and table definitions (less lint complaining)
      • string key dictionaries are serialized optimally now (not K V format)
    • Update v1.9.7: 10thMay 2012
      • bug fix SilverLight version to support GlobalTypes
      • removed indent logic from serializer
      • added Beautify(json) method to JSON credits toMarkhttp://stackoverflow.com/users/65387/mark
      • added locks on SafeDictionary
      • added FillObject(obj,json) for filling an existing object
    • Update v1.9.8: 17thMay 2012
      • added DeepCopy(obj) and DeepCopy<T>(obj)
      • refactored code to JSONParameters and removed the JSON overloads
      • added support to serialize anonymous types (deserialize is not possible at the moment)
      • bug fix $types output with non object root
    • Update v1.9.9: 24thJuly 2012
      • spelling mistake on JSONParameters
      • bug fix Parameter initialization
      • bug fix char and string ToString
      • refactored reflection code into Reflection class
      • added support for top level struct object serialize/deserialize
    • Update v2.0.0: 4thAugust 2012
      • bug fix reflection code
      • added unit tests
      • deserialize root level arrays (int[] etc.)
      • deserialize root level value types (int,long,decimal,string)
      • deserialize ToObject< Dictionary<T,V> >
      • deserialize ToObject< List<T> >
      • *breaking change in Parse,numbers are returned as decimals and longs not strings
    • Update v2.0.1: 10thAugust 2012
      • bug fix preserve internal objects when FillObject called
      • changed ArrayList to List<object> and consolidated silverlight code
      • added more tests
      • speed increase when using global types ($types)
    • Update v2.0.2: 16thAugust 2012
      • bug fix $types and arrays
    • Update v2.0.3: 27thAugust 2012
      • readonly property checking on deserialize (thanks toSlava Pocheptsov)
      • bug fix deserialize nested types with unit test (thanks toSlava Pocheptsov)
      • fix the silverlight4 project build (silverlight5 is not supported)
    • Update v2.0.4: 7thSeptember 2012
      • fixed null objects -> returns "null"
      • added sealed keyword to classes
      • bug fix SerializeNullValues=false and an extra comma at the end
      • UseExtensions=false will disable global types also (thanks toqio94,donat.hutter,softwarejaeger)
      • fixed parameters setting for Parse()
    • Update v2.0.5: 17thSeptember 2012
      • fixed number parsing for invariant format
      • added a test for German locale number testing (,. problems)
    • Update v2.0.6: 19thSeptember 2012
      • singleton uses [ThreadStatic] for concurrency (thanks toPhilip Jander)
      • bug fix extra comma in the output when only 1 property in the object (thanks toPhilip Jander)
    • Update v2.0.7: 5thOctober 2012
      • bug fix missing comma with single property and extensions enabled
    • Update v2.0.8: 13thOctober 2012
      • bug fix big number conversions (thanks toAlex.µZ Hg.)
      • * breaking change Parse will return longs and doubles instead of longs and decimal
      • ToObject on value types will auto convert the data (e.g ToObject<decimal>() )
    • Update v2.0.9: 24thOctober 2012
      • added support for root level DataSet and DataTable deserialize (you have to do ToObject<DataSet>(...) )
      • added dataset tests
    • Update v2.0.10: 15thNovember 2012
      • added MonoDroid project
    • Update v2.0.11: 7thDecember 2012
      • bug fix single char number json
      • added UseEscapedUnicode parameter for controlling string output in \uxxxx for unicode/utf8 format
      • bug fix null and generic ToObject<>()
      • bug fix List<> of custom types
    • Update v2.0.12: 3rdJanuary 2013
      • bug fix nested generic types (thanks toZambiorix)
      • bug fix comma edge cases with nulls
    • Update v2.0.13: 9thJanuary 2013
      • bug fix comma edge cases with nulls
      • unified DynamicMethod calls with SilverLight4 code
      • test cases for silverlight
    • Article Update: 12thApril 2013
      • rematch between fastJSON and Json.net v5r2
    • Update v2.0.14: 19thApril 2013
      • Optimizations done bySean Cooper
        - using Stopwatch instead of DateTime for timings
        - myPropInfo using enum instead of boolean
        - using switch instead of linked if statements
        - parsing DateTime optimized
        - StringBuilder using single char output instead of strings for \" chars etc
    • Update v2.0.15: 24thMay 2013
      • removed CUSTOMTYPE directives from code
      • fix for writing enumerable object
    • Update v2.0.16: 22ndJune 2013
      • bug fix formatter
      • added test for formatter
    • Update v2.0.17: 22ndJuly 2013
      • added serialization of static fields and properties
      • added dynamic object support and test
      • reformatted article
    • Update v2.0.18: 19thAugust 2013
      • edge case empty array deserialize "[]" -> T[]
      • code cleanup
      • fixed serialize readonly properties
    • Update v2.0.19: 27thAugust 2013
      • fix dynamic objects and lists (Thanks toM.Killer)
      • fix deserialize Dictionary<T,List<V>> and Dictionary<T,V[]> (Thanks toPelle Penna)
      • added tests for dictionary with lists

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