JSON

JSON HAL

Ajv generates code to turn JSON Schemas into super-fast validation functions that are efficient for v8 optimization.

application/xml: data-size: XML very verbose, but usually not an issue when using compression and thinking that the write access case (e.g. through POST or PUT) is much more rare as read-access (in many cases it is <3% of all traffic). Rarely there where cases where I had to optimize the write performance existence of non-ascii chars: you can use utf-8 as encoding in XML existence of binary data: would need to use base64 encoding filename data: you can encapsulate this inside field in XML application/json data-size: more compact less that XML, still text, but you can compress non-ascii chars: json is utf-8 binary data: base64 (also see json-binary-question) filename data: encapsulate as own field-section inside json

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Exactly my thoughts on the matter! I'm coming from XML SOAP background and concept of schema just got into my blood and JSON documents rather don't announce their schema. To me it's whether server "understands" the request or not. If server doesn't know what "sales_tax" is then it's simply 400: "I have no idea what you sent me but definitely not what I want.".

Pitfall #1: Server-Side Rendering Attacker-Controlled Initial State

One option is to use the serialize-javascript NPM module to escape the rendered JSON.

This is risky because JSON.stringify() will blindly turn any data you give it into a string (so long as it is valid JSON) which will be rendered in the page. If { data } has fields that un-trusted users can edit like usernames or bios, they can inject something like this:

Sometimes when we render initial state, we dangerously generate a document variable from a JSON string. Vulnerable code looks like this:

The usefulness of JSON is that while both systems still need to agree on a custom protocol, it gives you an implementation for half of that custom protocol - ubiquitous libraries to parse and generate the format, so the application needs only to handle the semantics of a particular field.

If you want to see what an activity stream looks like, and your browser renders JSON nicely, just grab a random outbox and have a look.)

Of course, CSV is less flexible than JSON. It's suitable when you have a list of items with mostly the same properties, and no nested structures.

At 100,000 entries, this list would be 2.4 MB (that's ~63% less than the JSON)

CSV is a format that's more lightweight than JSON and super well suited to streaming.

Those methods will wait until the entire response has been downloaded, and then parse it. That's because JSON is not a streaming format

JSON is ubiquitous, more lightweight than XML but still flexible enough to represent any data structure you typically need

To summarize the three options we’ve seen, as well as a streaming ijson-based solution:

Spring Boot 处理 Long 类型的 json 数据，前端调用精度丢失，变成 00

ObjectMapper @JsonProperty 不生效问题处理（kotlin）

JSON is a similar, perhaps even more popular, format (and almost[!] a subset of YAML 1.2).

Jackson 通过自定义注解来控制 json key 的格式

为什么说JSON不适合做配置文件？

The @id keyword allows you to give a node a URI. This URI identifies the node. See Node Identifiers in the JSON-LD spec. (The equivalent in Microdata is the itemid attribute, and the equivalent in RDFa Lite is the resource attribute.)