blocks|key|1272360|text|是的，JSON将会快30%25左右，更少的字符通过行，并且它的解析速度非常快。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1272361|Ypu还可以看看"YAML“，它在消息中发送了一个绝对最小的元数据。|1272362|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|F|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|G|8|@]|9|@]|A|$]]|$1|D|3|-4|5|6|7|H|8|@]|9|@]|A|$]]]|E|$]]

Yes JSON would be about 30% faster there are fewer characters going over the line and its very quick to parse.

Ypu could also take a look at "YAML" which sends an absolute mininmum of metadata in the message.

blocks|key|1057653|text|一般来说，JSON比同等的XML要快得多，而且更小。XML更加丰富，因为您可以将元数据(属性)和内容分开存储，但在JSON中也可以通过适当的结构化约定来实现这一点。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1057654|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

Generally speaking, JSON is much faster and smaller than the equivalent XML. XML is richer in that you can store metadata (attributes) and content separately, but the same can be achieved in JSON with appropriate structuring conventions.

blocks|key|1272534|text|回答这个问题的最好方法是自己测试它，因为涉及到压缩。您还可以通过一个客观的答案巧妙地避免XML与JSON的圣战！|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1272535|由于这只是一个测试，实际上并不需要工作，您只需用javascript编写一个xml->json转换器，它遍历XML树并将其复制到嵌套的数组/对象结构中，然后将其传递给JSON.stringify()。唯一的棘手之处是决定什么是数组，什么是对象。|1272536|找到要发送的数据的代表性样本(或几个)，使用您的工具将其转换为JSON，将其与原始XML压缩并比较大小。|1272537|注意:我四处寻找在线XML->JSON转换器，它们都很糟糕--引号外的copius空格(在JSON中是非法的，改变大小)和无引号的键名(同上)。不要在测试中使用它们，否则会得到错误的数据。|1272538|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|J|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|K|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|L|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|M|8|@]|9|@]|A|$]]|$1|H|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|I|$]]

The best way to answer this is to test it yourself, since compression is involved. You also neatly avoid the XML vs JSON holy war by having an objective answer! 

Since it's just a test and doesn't really need to work, you could just write up an xml->json converter in javascript that walked the XML DOM tree and copied it into a nested array/object structure then passed it to JSON.stringify(). The only tricky bit would be deciding what becomes an array and what becomes an object.

Find a representative sample (or a few) of the data being sent, convert it to JSON with your tool, gzip it and the original XML and compare sizes.

Note: I looked around for an online XML->JSON converter and they were all terrible--copius whitespace outside of quotes (illegal in JSON, alters size) and unquoted key names (ditto). Don't use them for your test or you'll get bad data.

blocks|key|1057799|text|在对象序列化方面，JSON通常更紧凑(即使经过压缩)。例如：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1057800|我将一个对象的相同实例序列化为XML和JSON，并得到以下结果：|1057801|JSON|1057802|{
++++"Account":+"2222",
++++"Login":+"124235",
++++"SalesId":+null,
++++"CustomerReference":+"9652358474",
++++"Status":+null,
++++"DropShip":+0,
++++"PromoCode":+null,
++++"Notes":+"For+the+truck",
++++"Errors":+null,
++++"ReferenceId":+null,
++++"PaymentMethod":+"CKPhone",
++++"CheckPayment":+{
++++++++"Name":+"Simon+Riggs",
++++++++"CompanyName":+"Darth+Inc",
++++++++"AccountNumber":+"565555555",
++++++++"RoutingNumber":+"222224455116",
++++++++"CheckNumber":+"32",
++++++++"Address":+{
++++++++++++"Attention":+null,
++++++++++++"Street1":+"555+W+Portebello+Rd",
++++++++++++"Street2":+null,
++++++++++++"City":+"London",
++++++++++++"State":+"Texas",
++++++++++++"Zipcode":+"45217",
++++++++++++"Country":+null,
++++++++++++"ReferenceId":+null,
++++++++++++"GetAxType":+2
++++++++},
++++++++"ReferenceId":+null,
++++++++"GetAxType":+2
++++},
++++"CreditCardPayment":+{
++++++++"Name":+"Simon+Riggs",
++++++++"CardNumber":+"1111222233334444",
++++++++"Cvv2":+"546",
++++++++"Month":+10,
++++++++"Year":+2018,
++++++++"Address":+{
++++++++++++"Attention":+null,
++++++++++++"Street1":+"555+W+Portebello+Rd",
++++++++++++"Street2":+null,
++++++++++++"City":+"London",
++++++++++++"State":+"Texas",
++++++++++++"Zipcode":+"45217",
++++++++++++"Country":+null,
++++++++++++"ReferenceId":+null,
++++++++++++"GetAxType":+2
++++++++},
++++++++"ReferenceId":+"0",
++++++++"GetAxType":+2
++++},
++++"ShippingAddress":+{
++++++++"Attention":+"Simon+Riggs",
++++++++"Street1":+"555+W+Portebello+Rd",
++++++++"Street2":+null,
++++++++"City":+"London",
++++++++"State":+"Texas",
++++++++"Zipcode":+"45217",
++++++++"Country":+null,
++++++++"ReferenceId":+null,
++++++++"GetAxType":+2
++++},
++++"Totals":+{
++++++++"SubTotal":+25.0,
++++++++"TotalTax":+5.0,
++++++++"ShippingTotal":+10.0,
++++++++"ShippingTax":+1.5,
++++++++"GrandTotal":+35.0
++++},
++++"Lines":+[{
++++++++"SKU":+"1442-4521",
++++++++"LineNum":+0.0,
++++++++"Qty":+2.0,
++++++++"Price":+72.95,
++++++++"ShippingClass":+"Ground",
++++++++"ReferenceId":+null,
++++++++"GetAxType":+2
++++},
++++{
++++++++"SKU":+"1212-5549",
++++++++"LineNum":+0.0,
++++++++"Qty":+1.0,
++++++++"Price":+31.15,
++++++++"ShippingClass":+"Ground",
++++++++"ReferenceId":+null,
++++++++"GetAxType":+2
++++}],
++++"GetAxType":+2
}|code-block|syntax|javascript|1057803|XML|1057804|<?xml+version="1.0"+encoding="utf-16"?>
<SalesOrder+xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"+xmlns:xsd="http://www.w3.org/2001/XMLSchema">
++<Account>2222</Account>
++<Login>124235</Login>
++<CustomerReference>9652358474</CustomerReference>
++<DropShip>0</DropShip>
++<Notes>For+the+truck</Notes>
++<PaymentMethod>CKPhone</PaymentMethod>
++<CheckPayment>
++++<Name>Simon+Riggs</Name>
++++<CompanyName>Darth+Inc</CompanyName>
++++<AccountNumber>565555555</AccountNumber>
++++<RoutingNumber>222224455116</RoutingNumber>
++++<CheckNumber>32</CheckNumber>
++++<Address>
++++++<Street1>555+W+Portebello+Rd</Street1>
++++++<City>London</City>
++++++<State>Texas</State>
++++++<Zipcode>45217</Zipcode>
++++</Address>
++</CheckPayment>
++<CreditCardPayment>
++++<Name>Simon+Riggs</Name>
++++<CardNumber>1111222233334444</CardNumber>
++++<Cvv2>546</Cvv2>
++++<Month>10</Month>
++++<Year>2018</Year>
++++<Address>
++++++<Street1>555+W+Portebello+Rd</Street1>
++++++<City>London</City>
++++++<State>Texas</State>
++++++<Zipcode>45217</Zipcode>
++++</Address>
++++<ReferenceId>0</ReferenceId>
++</CreditCardPayment>
++<ShippingAddress>
++++<Attention>Simon+Riggs</Attention>
++++<Street1>555+W+Portebello+Rd</Street1>
++++<City>London</City>
++++<State>Texas</State>
++++<Zipcode>45217</Zipcode>
++</ShippingAddress>
++<Totals>
++++<SubTotal>25</SubTotal>
++++<TotalTax>5</TotalTax>
++++<ShippingTotal>10</ShippingTotal>
++++<ShippingTax>1.5</ShippingTax>
++++<GrandTotal>35</GrandTotal>
++</Totals>
++<Lines>
++++<SalesLine>
++++++<SKU>1442-4521</SKU>
++++++<LineNum>0</LineNum>
++++++<Qty>2</Qty>
++++++<Price>72.95</Price>
++++++<ShippingClass>Ground</ShippingClass>
++++</SalesLine>
++++<SalesLine>
++++++<SKU>1212-5549</SKU>
++++++<LineNum>0</LineNum>
++++++<Qty>1</Qty>
++++++<Price>31.15</Price>
++++++<ShippingClass>Ground</ShippingClass>
++++</SalesLine>
++</Lines>
</SalesOrder>|1057805|当以ASCII编码时，JSON是1422字节，而XML是1954字节。使用GZipStream对它们进行压缩后，差别较小，但仍然非常明显。JSON压缩为524字节，而XML压缩为695字节。|1057806|序列化/反序列化时间会因实现(当然还有硬件)而有所不同，但我在一个循环中对上述JSON和XML进行了100,000次序列化和反序列化，得到了总的累积时间：|1057807|JSON序列化:5258ms，XML序列化:3266ms|1057808|JSON反序列化:9582ms，XML反序列化:4604ms|1057809|因此，使用我正在使用的库(见下文)，XML的序列化和反序列化速度更快，但由于平均值是以百分之一毫秒为单位测量的，我认为网络带宽和传输时间更重要。|1057810|(注意:我使用微软的System.Xml.Serialization.XmlSerializer和JSON.Net的Newtonsoft.Json.JsonConvert类在C#中做到了这一点)|1057811|entityMap^0|0|0|0|0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|12|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|13|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|14|8|@]|9|@]|A|$]]|$1|F|3|G|5|H|7|15|8|@]|9|@]|A|$I|J]]|$1|K|3|L|5|6|7|16|8|@]|9|@]|A|$]]|$1|M|3|N|5|H|7|17|8|@]|9|@]|A|$I|J]]|$1|O|3|P|5|6|7|18|8|@]|9|@]|A|$]]|$1|Q|3|R|5|6|7|19|8|@]|9|@]|A|$]]|$1|S|3|T|5|6|7|1A|8|@]|9|@]|A|$]]|$1|U|3|V|5|6|7|1B|8|@]|9|@]|A|$]]|$1|W|3|X|5|6|7|1C|8|@]|9|@]|A|$]]|$1|Y|3|Z|5|6|7|1D|8|@]|9|@]|A|$]]|$1|10|3|-4|5|6|7|1E|8|@]|9|@]|A|$]]]|11|$]]

In terms of object serialization, JSON will generally be more compact (even when compressed). For Example:

I serialized the same instance of an object into both XML and JSON and got the following: 

JSON

<pre><code>{
 "Account": "2222",
 "Login": "124235",
 "SalesId": null,
 "CustomerReference": "9652358474",
 "Status": null,
 "DropShip": 0,
 "PromoCode": null,
 "Notes": "For the truck",
 "Errors": null,
 "ReferenceId": null,
 "PaymentMethod": "CKPhone",
 "CheckPayment": {
 "Name": "Simon Riggs",
 "CompanyName": "Darth Inc",
 "AccountNumber": "565555555",
 "RoutingNumber": "222224455116",
 "CheckNumber": "32",
 "Address": {
 "Attention": null,
 "Street1": "555 W Portebello Rd",
 "Street2": null,
 "City": "London",
 "State": "Texas",
 "Zipcode": "45217",
 "Country": null,
 "ReferenceId": null,
 "GetAxType": 2
 },
 "ReferenceId": null,
 "GetAxType": 2
 },
 "CreditCardPayment": {
 "Name": "Simon Riggs",
 "CardNumber": "1111222233334444",
 "Cvv2": "546",
 "Month": 10,
 "Year": 2018,
 "Address": {
 "Attention": null,
 "Street1": "555 W Portebello Rd",
 "Street2": null,
 "City": "London",
 "State": "Texas",
 "Zipcode": "45217",
 "Country": null,
 "ReferenceId": null,
 "GetAxType": 2
 },
 "ReferenceId": "0",
 "GetAxType": 2
 },
 "ShippingAddress": {
 "Attention": "Simon Riggs",
 "Street1": "555 W Portebello Rd",
 "Street2": null,
 "City": "London",
 "State": "Texas",
 "Zipcode": "45217",
 "Country": null,
 "ReferenceId": null,
 "GetAxType": 2
 },
 "Totals": {
 "SubTotal": 25.0,
 "TotalTax": 5.0,
 "ShippingTotal": 10.0,
 "ShippingTax": 1.5,
 "GrandTotal": 35.0
 },
 "Lines": [{
 "SKU": "1442-4521",
 "LineNum": 0.0,
 "Qty": 2.0,
 "Price": 72.95,
 "ShippingClass": "Ground",
 "ReferenceId": null,
 "GetAxType": 2
 },
 {
 "SKU": "1212-5549",
 "LineNum": 0.0,
 "Qty": 1.0,
 "Price": 31.15,
 "ShippingClass": "Ground",
 "ReferenceId": null,
 "GetAxType": 2
 }],
 "GetAxType": 2
}
</code></pre>

XML

<pre><code>&lt;?xml version="1.0" encoding="utf-16"?&gt;
&lt;SalesOrder xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"&gt;
 &lt;Account&gt;2222&lt;/Account&gt;
 &lt;Login&gt;124235&lt;/Login&gt;
 &lt;CustomerReference&gt;9652358474&lt;/CustomerReference&gt;
 &lt;DropShip&gt;0&lt;/DropShip&gt;
 &lt;Notes&gt;For the truck&lt;/Notes&gt;
 &lt;PaymentMethod&gt;CKPhone&lt;/PaymentMethod&gt;
 &lt;CheckPayment&gt;
 &lt;Name&gt;Simon Riggs&lt;/Name&gt;
 &lt;CompanyName&gt;Darth Inc&lt;/CompanyName&gt;
 &lt;AccountNumber&gt;565555555&lt;/AccountNumber&gt;
 &lt;RoutingNumber&gt;222224455116&lt;/RoutingNumber&gt;
 &lt;CheckNumber&gt;32&lt;/CheckNumber&gt;
 &lt;Address&gt;
 &lt;Street1&gt;555 W Portebello Rd&lt;/Street1&gt;
 &lt;City&gt;London&lt;/City&gt;
 &lt;State&gt;Texas&lt;/State&gt;
 &lt;Zipcode&gt;45217&lt;/Zipcode&gt;
 &lt;/Address&gt;
 &lt;/CheckPayment&gt;
 &lt;CreditCardPayment&gt;
 &lt;Name&gt;Simon Riggs&lt;/Name&gt;
 &lt;CardNumber&gt;1111222233334444&lt;/CardNumber&gt;
 &lt;Cvv2&gt;546&lt;/Cvv2&gt;
 &lt;Month&gt;10&lt;/Month&gt;
 &lt;Year&gt;2018&lt;/Year&gt;
 &lt;Address&gt;
 &lt;Street1&gt;555 W Portebello Rd&lt;/Street1&gt;
 &lt;City&gt;London&lt;/City&gt;
 &lt;State&gt;Texas&lt;/State&gt;
 &lt;Zipcode&gt;45217&lt;/Zipcode&gt;
 &lt;/Address&gt;
 &lt;ReferenceId&gt;0&lt;/ReferenceId&gt;
 &lt;/CreditCardPayment&gt;
 &lt;ShippingAddress&gt;
 &lt;Attention&gt;Simon Riggs&lt;/Attention&gt;
 &lt;Street1&gt;555 W Portebello Rd&lt;/Street1&gt;
 &lt;City&gt;London&lt;/City&gt;
 &lt;State&gt;Texas&lt;/State&gt;
 &lt;Zipcode&gt;45217&lt;/Zipcode&gt;
 &lt;/ShippingAddress&gt;
 &lt;Totals&gt;
 &lt;SubTotal&gt;25&lt;/SubTotal&gt;
 &lt;TotalTax&gt;5&lt;/TotalTax&gt;
 &lt;ShippingTotal&gt;10&lt;/ShippingTotal&gt;
 &lt;ShippingTax&gt;1.5&lt;/ShippingTax&gt;
 &lt;GrandTotal&gt;35&lt;/GrandTotal&gt;
 &lt;/Totals&gt;
 &lt;Lines&gt;
 &lt;SalesLine&gt;
 &lt;SKU&gt;1442-4521&lt;/SKU&gt;
 &lt;LineNum&gt;0&lt;/LineNum&gt;
 &lt;Qty&gt;2&lt;/Qty&gt;
 &lt;Price&gt;72.95&lt;/Price&gt;
 &lt;ShippingClass&gt;Ground&lt;/ShippingClass&gt;
 &lt;/SalesLine&gt;
 &lt;SalesLine&gt;
 &lt;SKU&gt;1212-5549&lt;/SKU&gt;
 &lt;LineNum&gt;0&lt;/LineNum&gt;
 &lt;Qty&gt;1&lt;/Qty&gt;
 &lt;Price&gt;31.15&lt;/Price&gt;
 &lt;ShippingClass&gt;Ground&lt;/ShippingClass&gt;
 &lt;/SalesLine&gt;
 &lt;/Lines&gt;
&lt;/SalesOrder&gt;
</code></pre>

When encoded in ASCII, the JSON is 1422 bytes while the XML is 1954 bytes. After compressing them using a GZipStream, the difference is smaller but still pretty clear. The JSON compresses down to 524 bytes while the XML compresses down to 695 bytes.

Serialization/deserialization time will vary by implementation (and hardware of course) but I serialized and deserialized the above JSON and XML 100,000 times in a loop and got the total accumulative times:

JSON Serialization: 5258 ms,
XML Serialization: 3266 ms

JSON Deserialization: 9582 ms,
XML Deserialization: 4604 ms

So XML serializes and deserializes faster using the libraries I'm using (see below), but with averages measuring in the hundredths of milliseconds, I'd say network bandwidth and transfer time is more consequential. 

(Note: I did this in C# using Microsoft's System.Xml.Serialization.XmlSerializer and JSON.Net's Newtonsoft.Json.JsonConvert classes)

I have an application that performs a little slow over the internet due to bandwidth reasons. I have enabled GZip which has improved download time by a significant amout, but I was also considering whether or not I could switch from XML to JSON in order to squeeze out that last bit of performance. Would using JSON make the message size significantly smaller, or just somewhat smaller? Let's say we're talking about 250kB of XML data (which compresses to 30kB).

How does JSON compare to XML in terms of file size and serialisation/deserialisation time?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我有一个应用程序，由于带宽的原因，在互联网上执行有点慢。我启用了GZip，它极大地缩短了下载时间，但我也在考虑是否可以从XML切换到JSON，以便挤出最后一点性能。使用JSON会使消息大小明显变小，还是只是稍微变小一些？假设我们讨论的是250kB的XML数据(压缩到30kB)。

问在文件大小和序列化/反序列化时间方面，JSON与XML相比如何？
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