I am looking for a JSON Parser that can allow me to iterate through JSON objects from a large JSON file (with size few hundreds of MBs). I tried JsonTextReader from Json.NET like below:
我正在寻找一个JSON Parser,它允许我从大型JSON文件(大小几百MB)中迭代JSON对象。我从Json.NET尝试过JsonTextReader,如下所示:
JsonTextReader reader = new JsonTextReader(new StringReader(json));
while (reader.Read())
{
if (reader.Value != null)
Console.WriteLine("Token: {0}, Value: {1}", reader.TokenType, reader.Value);
else
Console.WriteLine("Token: {0}", reader.TokenType);
}
But it returns token after token.
Is there any simpler way if I need whole object instead of tokens?
但它会在令牌之后返回令牌。如果我需要整个对象而不是令牌,有没有更简单的方法?
3 个解决方案
#1
2
Let's assume you have a json array similar to this:
假设你有一个类似于这的json数组:
[{"text":"0"},{"text":"1"}......]
I'll declare a class for the object type
我将为对象类型声明一个类
public class TempClass
{
public string text;
}
Now, the deserializetion part
现在,反序列化部分
JsonSerializer ser = new JsonSerializer();
ser.Converters.Add(new DummyConverter<TempClass>(t =>
{
//A callback method
Console.WriteLine(t.text);
}));
ser.Deserialize(new JsonTextReader(new StreamReader(File.OpenRead(fName))),
typeof(List<TempClass>));
And a dummy JsonConverter class to intercept the deserialization
还有一个虚拟的JsonConverter类来拦截反序列化
public class DummyConverter<T> : JsonConverter
{
Action<T> _action = null;
public DummyConverter(Action<T> action)
{
_action = action;
}
public override bool CanConvert(Type objectType)
{
return objectType == typeof(TempClass);
}
public override object ReadJson(JsonReader reader, Type objectType, object existingValue, JsonSerializer serializer)
{
serializer.Converters.Remove(this);
T item = serializer.Deserialize<T>(reader);
_action( item);
return null;
}
public override void WriteJson(JsonWriter writer, object value, JsonSerializer serializer)
{
throw new NotImplementedException();
}
}
#2
1
I would use this library JSON.net. The command for Nuget is as follows -> Install-Package Newtonsoft.Json
我会使用这个库JSON.net。 Nuget的命令如下 - > Install-Package Newtonsoft.Json
#3
1
This is one of the use cases I contemplated for my own parser/deserializer.
这是我为自己的解析器/解串器设想的用例之一。
I've recently made a simple example (by feeding the parser with JSON text that is read thru a StreamReader) of deserializing this JSON shape:
我最近做了一个简单的例子(通过向解析器提供通过StreamReader读取的JSON文本)反序列化这个JSON形状:
{
"fathers" : [
{
"id" : 0,
"married" : true,
"name" : "John Lee",
"sons" : [
{
"age" : 15,
"name" : "Ronald"
}
],
"daughters" : [
{
"age" : 7,
"name" : "Amy"
},
{
"age" : 29,
"name" : "Carol"
},
{
"age" : 14,
"name" : "Barbara"
}
]
},
{
"id" : 1,
"married" : false,
"name" : "Kenneth Gonzalez",
"sons" : [
],
"daughters" : [
]
},
{
"id" : 2,
"married" : false,
"name" : "Larry Lee",
"sons" : [
{
"age" : 4,
"name" : "Anthony"
},
{
"age" : 2,
"name" : "Donald"
}
],
"daughters" : [
{
"age" : 7,
"name" : "Elizabeth"
},
{
"age" : 15,
"name" : "Betty"
}
]
},
//(... etc)
]
}
... into these POCOs:
......进入这些POCO:
https://github.com/ysharplanguage/FastJsonParser#POCOs
https://github.com/ysharplanguage/FastJsonParser#POCOs
(i.e., specifically: "FathersData", "Father", "Son", "Daughter")
(具体来说:“父亲数据”,“父亲”,“儿子”,“女儿”)
That sample also presents:
该样本还提出:
(1) a sample filter on the relative item index in the Father[] array (e.g., to fetch only the first 10), and
(1)在Father []数组中的相对项索引上的样本过滤器(例如,仅获取前10个),以及
(2) how to populate dynamically a property of the father's daughters, as the deserialization of their respective father returns - (that is, thanks to a delegate that the caller passes on to the parser's Parse method, for callback purposes).
(2)如何动态填充父亲的女儿的属性,因为他们各自父亲的反序列化返回 - (这要归功于调用者传递给解析器的Parse方法的委托,用于回调目的)。
For the rest of the bits, see:
对于其余位,请参阅:
ParserTests.cs : static void FilteredFatherStreamTestDaughterMaidenNamesFixup()
ParserTests.cs:static void FilteredFatherStreamTestDaughterMaidenNamesFixup()
(#829到#904行)
The performance I observe on my humble laptop (*) for parsing some ~ 12MB to ~ 180MB JSON files and deserializing an arbitrary subset of their content into POCOs
我在简陋的笔记本电脑上观察到的性能(*)用于解析大约12MB到~180MB的JSON文件,并将其内容的任意子集反序列化为POCO
(or into loosely-typed dictionaries (just (string, object) key/value pairs) also supported)
(或支持松散类型的词典(只是(字符串,对象)键/值对)也支持)
is anywhere in the ballpark from ~ 20MB/sec to 40MB/sec (**).
在球场的任何地方,从大约20MB /秒到40MB /秒(**)。
(e.g., ~ 300 milliseconds in the case of the 12MB JSON file, into POCOs)
(例如,在12MB JSON文件的情况下,约为300毫秒,进入POCO)
More detailed info available here:
更多详细信息在这里:
https://github.com/ysharplanguage/FastJsonParser#Performance
https://github.com/ysharplanguage/FastJsonParser#Performance
'HTH,
“HTH,
(*) (running Win7 64bit @ 2.5Ghz)
(*)(运行Win7 64bit @ 2.5Ghz)
(**) (the throughput is quite dependent on the input JSON shape/complexity, e.g., sub-objects nesting depth, and other factors)
(**)(吞吐量完全取决于输入JSON形状/复杂度,例如,子对象嵌套深度和其他因素)
#1
2
Let's assume you have a json array similar to this:
假设你有一个类似于这的json数组:
[{"text":"0"},{"text":"1"}......]
I'll declare a class for the object type
我将为对象类型声明一个类
public class TempClass
{
public string text;
}
Now, the deserializetion part
现在,反序列化部分
JsonSerializer ser = new JsonSerializer();
ser.Converters.Add(new DummyConverter<TempClass>(t =>
{
//A callback method
Console.WriteLine(t.text);
}));
ser.Deserialize(new JsonTextReader(new StreamReader(File.OpenRead(fName))),
typeof(List<TempClass>));
And a dummy JsonConverter class to intercept the deserialization
还有一个虚拟的JsonConverter类来拦截反序列化
public class DummyConverter<T> : JsonConverter
{
Action<T> _action = null;
public DummyConverter(Action<T> action)
{
_action = action;
}
public override bool CanConvert(Type objectType)
{
return objectType == typeof(TempClass);
}
public override object ReadJson(JsonReader reader, Type objectType, object existingValue, JsonSerializer serializer)
{
serializer.Converters.Remove(this);
T item = serializer.Deserialize<T>(reader);
_action( item);
return null;
}
public override void WriteJson(JsonWriter writer, object value, JsonSerializer serializer)
{
throw new NotImplementedException();
}
}
#2
1
I would use this library JSON.net. The command for Nuget is as follows -> Install-Package Newtonsoft.Json
我会使用这个库JSON.net。 Nuget的命令如下 - > Install-Package Newtonsoft.Json
#3
1
This is one of the use cases I contemplated for my own parser/deserializer.
这是我为自己的解析器/解串器设想的用例之一。
I've recently made a simple example (by feeding the parser with JSON text that is read thru a StreamReader) of deserializing this JSON shape:
我最近做了一个简单的例子(通过向解析器提供通过StreamReader读取的JSON文本)反序列化这个JSON形状:
{
"fathers" : [
{
"id" : 0,
"married" : true,
"name" : "John Lee",
"sons" : [
{
"age" : 15,
"name" : "Ronald"
}
],
"daughters" : [
{
"age" : 7,
"name" : "Amy"
},
{
"age" : 29,
"name" : "Carol"
},
{
"age" : 14,
"name" : "Barbara"
}
]
},
{
"id" : 1,
"married" : false,
"name" : "Kenneth Gonzalez",
"sons" : [
],
"daughters" : [
]
},
{
"id" : 2,
"married" : false,
"name" : "Larry Lee",
"sons" : [
{
"age" : 4,
"name" : "Anthony"
},
{
"age" : 2,
"name" : "Donald"
}
],
"daughters" : [
{
"age" : 7,
"name" : "Elizabeth"
},
{
"age" : 15,
"name" : "Betty"
}
]
},
//(... etc)
]
}
... into these POCOs:
......进入这些POCO:
https://github.com/ysharplanguage/FastJsonParser#POCOs
https://github.com/ysharplanguage/FastJsonParser#POCOs
(i.e., specifically: "FathersData", "Father", "Son", "Daughter")
(具体来说:“父亲数据”,“父亲”,“儿子”,“女儿”)
That sample also presents:
该样本还提出:
(1) a sample filter on the relative item index in the Father[] array (e.g., to fetch only the first 10), and
(1)在Father []数组中的相对项索引上的样本过滤器(例如,仅获取前10个),以及
(2) how to populate dynamically a property of the father's daughters, as the deserialization of their respective father returns - (that is, thanks to a delegate that the caller passes on to the parser's Parse method, for callback purposes).
(2)如何动态填充父亲的女儿的属性,因为他们各自父亲的反序列化返回 - (这要归功于调用者传递给解析器的Parse方法的委托,用于回调目的)。
For the rest of the bits, see:
对于其余位,请参阅:
ParserTests.cs : static void FilteredFatherStreamTestDaughterMaidenNamesFixup()
ParserTests.cs:static void FilteredFatherStreamTestDaughterMaidenNamesFixup()
(#829到#904行)
The performance I observe on my humble laptop (*) for parsing some ~ 12MB to ~ 180MB JSON files and deserializing an arbitrary subset of their content into POCOs
我在简陋的笔记本电脑上观察到的性能(*)用于解析大约12MB到~180MB的JSON文件,并将其内容的任意子集反序列化为POCO
(or into loosely-typed dictionaries (just (string, object) key/value pairs) also supported)
(或支持松散类型的词典(只是(字符串,对象)键/值对)也支持)
is anywhere in the ballpark from ~ 20MB/sec to 40MB/sec (**).
在球场的任何地方,从大约20MB /秒到40MB /秒(**)。
(e.g., ~ 300 milliseconds in the case of the 12MB JSON file, into POCOs)
(例如,在12MB JSON文件的情况下,约为300毫秒,进入POCO)
More detailed info available here:
更多详细信息在这里:
https://github.com/ysharplanguage/FastJsonParser#Performance
https://github.com/ysharplanguage/FastJsonParser#Performance
'HTH,
“HTH,
(*) (running Win7 64bit @ 2.5Ghz)
(*)(运行Win7 64bit @ 2.5Ghz)
(**) (the throughput is quite dependent on the input JSON shape/complexity, e.g., sub-objects nesting depth, and other factors)
(**)(吞吐量完全取决于输入JSON形状/复杂度,例如,子对象嵌套深度和其他因素)