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一种简单,轻量,灵活的C#对象转Json对象的方案(续)

2022-12-30,,,,

本文参考资料

一种简单,轻量,灵活的C#对象转Json对象的方案

[源码]Literacy 快速反射读写对象属性,字段

　　一段废话

之前我已经介绍了这个方案的名称为JsonBuilder，这套方案最大的好处在于它的灵活可扩展性上，所以我可以很方便的对他进行优化和扩展！

　　性能优化

JsonBuilder第一版对一般对象的是进行实时反射的，所以性能不会很好，所以我首先想到的是优化他的性能

看我前几天发表过一篇《[源码]Literacy 快速反射读写对象属性,字段》的文章，这东西的效率不错，用来代替反射正好。

我把优化后的类取名QuickJsonBuilder

在继承JsonBuilder的基础上,我仅仅需要重写一个方法

public class QuickJsonBuilder : JsonBuilder

{

    protected override void AppendOther(object obj)

    {

        Literacy lit = new Literacy(obj.GetType());

        string fix = "";

        Buff.Append('{');

        foreach (var p in lit.Property)

        {

            Buff.Append(fix);

            AppendKey(p.Name, false);

            AppendObject(p.GetValue(obj));
            fix = ',';

        }

        Buff.Append('}');

    }

}

像这样我很简单的将原来的实时反射改成了Literacy

但是这样显然并不能保证性能,所以我还要加一个缓存

static Dictionary<Type, Literacy> _LitCache = new Dictionary<Type, Literacy>();

protected override void AppendOther(object obj)

{

    Literacy lit;

    Type type = obj.GetType();

    if (_LitCache.TryGetValue(type, out lit) == false)

    {

        lock (_LitCache)

        {

            if (_LitCache.TryGetValue(type, out lit) == false)

            {

                lit = new Literacy(type);

                _LitCache.Add(type, lit);

            }

        }

    }

    string fix = "";

    Buff.Append('{');

    foreach (var p in lit.Property)

    {

        Buff.Append(fix);

        AppendKey(p.Name, false);

        AppendObject(p.GetValue(obj));
        fix = ',';

    }

    Buff.Append('}');

}

缓存本身是全局静态的,所以为了防止多线程并发的问题,特别加了锁

再为了它能性能能够好上那么一点点(更多的是为了自己的强迫症吧....),再修改一些地方

static Dictionary<Type, Literacy> _LitCache = new Dictionary<Type, Literacy>();

protected override void AppendOther(object obj)

{

    Literacy lit;

    Type type = obj.GetType();

    if (_LitCache.TryGetValue(type, out lit) == false)

    {

        lock (_LitCache)

        {

            if (_LitCache.TryGetValue(type, out lit) == false)

            {

                lit = new Literacy(type);

                _LitCache.Add(type, lit);

            }

        }

    }

    Buff.Append('{');

    var ee = lit.Property.GetEnumerator();

    if (ee.MoveNext())

    {

        AppendKey(ee.Current.Name, false);

        AppendObject(ee.Current.GetValue(obj));

        while (ee.MoveNext())

        {

            Buff.Append(',');

            AppendKey(ee.Current.Name, false);

            AppendObject(ee.Current.GetValue(obj));

        }

    }

    Buff.Append('}');

}

好了来看看他和他父亲在性能上的差异:

测试代码和《几个常用Json组件的性能测试》中的是一样的,

I7- 4核8线程 主频2.

内存  4G*

没有显卡

硬盘 闪迪 msata  r:500m/s w:350m/s

测试机配置

不过今天在自己的电脑上运行了,感觉和昨天的测试结果的差异还是有些大的,所以还是那句话:测试结果因配置不同会有所出入,此结果仅供参考

　　功能扩展

相比较性能优化来说 这个要更重要一些，随着现在硬件各种不值钱，性能上的问题绝对可以在硬件上解决，而功能不足却是大多数时候我们放弃一个现成类库的原因

在这个时候一个类库是否可扩展就显得尤为重要了。

先来看一个栗子

将DataSet转为Json对象

随便来个简单个DataSet

DataTable dt1 = new DataTable("User");

dt1.Columns.Add("UID", typeof(Guid));

dt1.Columns.Add("Name", typeof(string));

dt1.Columns.Add("Birthday", typeof(DateTime));

dt1.Columns.Add("Sex", typeof(int));

dt1.Columns.Add("IsDeleted", typeof(bool));

dt1.Rows.Add(Guid.NewGuid(), "blqw", DateTime.Parse("1986-10-29"), , false);

dt1.Rows.Add(Guid.NewGuid(), "小明", DateTime.Parse("1990-1-1"), , false);

dt1.Rows.Add(Guid.NewGuid(), "小华", DateTime.Parse("1990-2-2"), , false);

DataTable dt2 = new DataTable("UserInfo");

dt2.Columns.Add("ID", typeof(int));

dt2.Columns.Add("UID", typeof(Guid));

dt2.Columns.Add("Address", typeof(string));

dt2.Columns.Add("ZipCode", typeof(int));

dt2.Rows.Add(, dt1.Rows[][], "广州", );

dt2.Rows.Add(, dt1.Rows[][], "上海", );

dt2.Rows.Add(, dt1.Rows[][], "背景", );

DataSet ds = new DataSet();

ds.Tables.Add(dt1);

ds.Tables.Add(dt2);

C#代码

再来看看每个组件的转换结果

//JsonBuilder 

var a = {"User":{"columns":["UID","Name","Birthday","Sex","IsDeleted"],"rows":[["58cc6573-cb34-4d82-9343-166a3d23f518","blqw","1986-10-29 00:00:00",1,false],["c1ce

27aa-383c-4a90-b180-4f8827ef64a9","小明","1990-01-01 00:00:00",1,false],["79d24a02-7d90-4ade-80c5-93b57314f55b","小华","1990-02-02 00:00:00",0,false]]},"UserInf

o":{"columns":["ID","UID","Address","ZipCode"],"rows":[[1,"58cc6573-cb34-4d82-9343-166a3d23f518","广州",100000],[2,"c1ce27aa-383c-4a90-b180-4f8827ef64a9","上海"

,200000],[3,"79d24a02-7d90-4ade-80c5-93b57314f55b","背景",300000]]}}

//==============================================

//QuickJsonBuilder 

var a = {"User":{"columns":["UID","Name","Birthday","Sex","IsDeleted"],"rows":[["58cc6573-cb34-4d82-9343-166a3d23f518","blqw","1986-10-29 00:00:00",1,false],["c1ce

27aa-383c-4a90-b180-4f8827ef64a9","小明","1990-01-01 00:00:00",1,false],["79d24a02-7d90-4ade-80c5-93b57314f55b","小华","1990-02-02 00:00:00",0,false]]},"UserInf

o":{"columns":["ID","UID","Address","ZipCode"],"rows":[[1,"58cc6573-cb34-4d82-9343-166a3d23f518","广州",100000],[2,"c1ce27aa-383c-4a90-b180-4f8827ef64a9","上海"

,200000],[3,"79d24a02-7d90-4ade-80c5-93b57314f55b","背景",300000]]}}

//==============================================

//fastJSON.NET 

var a = {"User":[["f1a4f526-e723-4fb4-930e-0b5250ee3309","blqw","1986-10-29 00:00:00",1,false],["32b289a2-f116-47c3-99cc-0a7804706490","小明","1990-01-01 00:00:00"

,1,false],["a2ca668f-151e-4863-8979-d5a5e7c83a35","小华","1990-02-02 00:00:00",0,false]],"UserInfo":[[1,"f1a4f526-e723-4fb4-930e-0b5250ee3309","广州",100000],[2

,"32b289a2-f116-47c3-99cc-0a7804706490","上海",200000],[3,"a2ca668f-151e-4863-8979-d5a5e7c83a35","背景",300000]]}

==============================================

//Jayrock.Json 

var a = {"User":[{"UID":"58cc6573-cb34-4d82-9343-166a3d23f518","Name":"blqw","Birthday":"1986-10-29T00:00:00.0000000+08:00","Sex":1,"IsDeleted":false},{"UID":"c1ce

27aa-383c-4a90-b180-4f8827ef64a9","Name":"小明","Birthday":"1990-01-01T00:00:00.0000000+08:00","Sex":1,"IsDeleted":false},{"UID":"79d24a02-7d90-4ade-80c5-93b573

14f55b","Name":"小华","Birthday":"1990-02-02T00:00:00.0000000+08:00","Sex":0,"IsDeleted":false}],"UserInfo":[{"ID":1,"UID":"58cc6573-cb34-4d82-9343-166a3d23f518

","Address":"广州","ZipCode":100000},{"ID":2,"UID":"c1ce27aa-383c-4a90-b180-4f8827ef64a9","Address":"上海","ZipCode":200000},{"ID":3,"UID":"79d24a02-7d90-4ade-8

0c5-93b57314f55b","Address":"背景","ZipCode":300000}]}

//==============================================

//Newtonsoft.Json 

var a = {"User":[{"UID":"58cc6573-cb34-4d82-9343-166a3d23f518","Name":"blqw","Birthday":"\/Date(530899200000+0800)\/","Sex":1,"IsDeleted":false},{"UID":"c1ce27aa-3

83c-4a90-b180-4f8827ef64a9","Name":"小明","Birthday":"\/Date(631123200000+0800)\/","Sex":1,"IsDeleted":false},{"UID":"79d24a02-7d90-4ade-80c5-93b57314f55b","Nam

e":"小华","Birthday":"\/Date(633888000000+0800)\/","Sex":0,"IsDeleted":false}],"UserInfo":[{"ID":1,"UID":"58cc6573-cb34-4d82-9343-166a3d23f518","Address":"广州"

,"ZipCode":100000},{"ID":2,"UID":"c1ce27aa-383c-4a90-b180-4f8827ef64a9","Address":"上海","ZipCode":200000},{"ID":3,"UID":"79d24a02-7d90-4ade-80c5-93b57314f55b",

"Address":"背景","ZipCode":300000}]}

//==============================================

//ServiceStack.Text 报错

//TestJavaScriptSerializer 报错

各组件转换结果

我们可以很清楚的发现每个组件都有各自的转换方式,结果都不相同

    fastJSON.NET  结果中每列的"列名"丢失了
    Jayrock.Json 算是比较标准的格式了
    Newtonsoft.Json 数据格式和Jayrock.Json类似,但是时间格式太蛋疼了，造成的结果就是这个字符串直接在网页js中运行是不可能的，需要2次转换
    TestJavaScriptSerializer 报错，无法转换
    TestServiceStack 报错，无法转换
    JsonBuilder,因为是我自己写的,所以有自己的格式,我习惯将Table转换为2个部分一个columns,一个rows，因为在行数多的情况下，列名每次都重复会增加数据大小

以上几个组件的结果 可能可以通过参数设置，我不确定 但即使是参数设定，也只不过是选择几种预置的格式罢了。

这时候JsonBuilder灵活性就显现出来了

假设我现在的项目有以下需求:

    DataTable转换需要可以在,Jayrock.Json和JsonBuilder格式之间切换
    DateTime可以在 Data,Time,DataTime 3种模式中切换
    Guid要去掉中间的连字符(-)
    true,false要转换为1,0

OK 现在我需要重写4个方法 AppendDataTable(如果有必要也一起重写AppendDataView),AppendDateTime,AppendGuid,AppendBoolean

using System;

using System.Collections.Generic;

using System.Data;

using System.Linq;

using System.Text;

namespace blqw

{

    class MyJsonBuilder : QuickJsonBuilder

    {

        /// <summary> 表风格

        /// <para> 默认 { columns:[colname,colname2],rows:[[x,x],[y,y]] } </para>

        /// <para> 1    [{ colname:x,colname2:x },{ colname:y,colname2:y }] </para>

        /// </summary>

        public int TableStyle { get; set; }

        /// <summary> 时间风格

        /// <para> 默认 yyyy-MM-dd HH:mm:ss </para>

        /// <para> 1    yyyy-MM-dd </para>

        /// <para> 2    HH:mm:ss </para>

        /// </summary>

        public int DateTimeStyle { get; set; }

        protected override void AppendDateTime(DateTime value)

        {

            switch (DateTimeStyle)

            {

                case :

                    Buff.Append('"');

                    Buff.Append(value.ToString("yyyy-MM-dd"));

                    Buff.Append('"');

                    break;

                case :

                    Buff.Append('"');

                    Buff.Append(value.ToString("HH:mm:ss"));

                    Buff.Append('"');

                    break;

                default:

                    base.AppendDateTime(value);

                    break;

            }

        }

        protected override void AppendGuid(Guid value)

        {

            Buff.Append('"');

            Buff.Append(value.ToString("N"));

                    Buff.Append('"');

        }

        protected override void AppendBoolean(bool value)

        {

            base.AppendNumber(value.GetHashCode());

        }

        protected override void AppendDataTable(System.Data.DataTable table)

        {

            if (TableStyle == )

            {

                Buff.Append('[');

                var fix = "";

                foreach (DataRow row in table.Rows)

                {

                    Buff.Append(fix);

                    var fix2 = "";

                    Buff.Append('{');

                    foreach (DataColumn col in table.Columns)

                    {

                        Buff.Append(fix2);

                        AppendKey(col.ColumnName,false);

                        AppendObject(row[col]);

                        fix2 = ",";

                    }

                    Buff.Append('}');

                    fix = ",";

                }

                Buff.Append(']');

            }

            else

            {

                base.AppendDataTable(table);

            }

        }

    }

}

C#代码

然后就可以调用了

MyJsonBuilder jb = new MyJsonBuilder();

Console.WriteLine("TableStyle=1 ; DateTimeStyle=1");

jb.TableStyle = ;

jb.DateTimeStyle = ;

Console.WriteLine(jb.ToJsonString(ds));

Console.WriteLine("");

Console.WriteLine("TableStyle=0 ; DateTimeStyle=2");

jb.TableStyle = ;

jb.DateTimeStyle = ;

Console.WriteLine(jb.ToJsonString(ds));

结果

TableStyle=1 ; DateTimeStyle=1

{"User":[{"UID":"0f3f70f0939546d8803d8cd0ef4de8ec","Name":"blqw","Birthday":"1986-10-29","Sex":1,"IsDeleted":0},{"UID":"72489efcbc694801a358b697414892ee","Name":"小明","Birthday":"1990-01-01","Sex":1,"IsDeleted":0},{"UID":"865cddbb1f0c427e97a724844c35a83d","Name":"小华","Birthday":"1990-02-02","Sex":0,"IsDeleted":0}],"UserInfo":[{"ID":1,"UID":"0f3f70f0939546d8803d8cd0ef4de8ec","Address":"广州","ZipCode":100000},{"ID":2,"UID":"72489efcbc694801a358b697414892ee","Address":"上海","ZipCode":200000},{"ID":3,"UID":"865cddbb1f0c427e97a724844c35a83d","Address":"背景","ZipCode":300000}]}

TableStyle=0 ; DateTimeStyle=2

{"User":{"columns":["UID","Name","Birthday","Sex","IsDeleted"],"rows":[["0f3f70f0939546d8803d8cd0ef4de8ec","blqw","00:00:00",1,0],["72489efcbc694801a358b697414892ee","小明","00:00:00",1,0],["865cddbb1f0c427e97a724844c35a83d","小华","00:00:00",0,0]]},"UserInfo":{"columns":["ID","UID","Address","ZipCode"],"rows":[[1,"0f3f70f0939546d8803d8cd0ef4de8ec","广州",100000],[2,"72489efcbc694801a358b697414892ee","上海",200000],[3,"865cddbb1f0c427e97a724844c35a83d","背景",300000]]}}

请按任意键继续. . .

　　比完整Demo还要完整的Demo下载

点击下载

ps 此Demo中包含了一些我下一篇文章会写的内容,如果里面的代码和文章中的不完全一样,以Demo中可运行代码为准

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