search
HomeBackend DevelopmentGolangHow to parse different types of JSON-RPC tables

How to parse different types of JSON-RPC tables

php editor Baicao introduces you how to parse different types of JSON-RPC tables. JSON-RPC is a lightweight remote procedure call protocol that is widely used in various web services. When parsing JSON-RPC tables, we need to pay attention to different types of table structures and data formats to ensure that the data is parsed and processed correctly. This article will introduce common JSON-RPC table types, including single tables, nested tables, and array tables, as well as corresponding parsing methods and precautions. By understanding the different types of JSON-RPC table parsing, we can better process and utilize data and improve the reliability and efficiency of our programs.

Question content

I want to get the information in a json-rpc file with the following structure:

{
    "id": "foo1",
    "error": null,
    "result": [
        {
            "key": [
                "hello 1",
                1,
                "world 1"
            ],
            "val": {
                "type": "static"
            }
        },
        {
            "key": [
                "hello 2",
                1,
                "world 2"
            ],
            "val": {
                "type": "static"
            }
        }
    ]
}

This is my parsing function, the key is a string table (int type cannot be accepted):

type jsonrpcrsp struct {
    id     string          `json:"id"`
    error  *string         `json:"error"`
    result json.rawmessage `json:"result"`
}

type jsonrpcentry_val struct {
    type     string          `json:"type"`
}
type jsonrpcentry struct {
    key     [3]string          `json:"key"`
    val     jsonrpcentry_val  `json:"val"`
}

jsonresult := jsonrpcrsp{}
json.unmarshal(data, &jsonresult)
entries := []jsonrpcentry{}
for _, val := range jsonresult {
    json.unmarshal(val.result, &entries)
}

How to parse the "key" table? ...the problem is that there are different types

The key table structure is:

[ <string>, <int>, <string>]

Solution

To unmarshal arrays of different types in go, if you need to access the type, you need to use interfaces and type assertions.

This may work for you:

type Result struct {
    Key [3]interface{} `json:"key"`
    Val struct {
        Type string `json:"type"`
    } `json:"val"`
}

msg := JsonRpcRsp{}
json.Unmarshal(data, &msg)

var result []Result
json.Unmarshal(msg.Result, &result)

for _, v := range result {
    key1 := v.Key[0].(string)
    key2 := v.Key[1].(float64)
    key3 := v.Key[2].(string)

    fmt.Println(key1, key2, key3)
}

After asserting the three interfaces to their types, you can further use them according to your use case.

The above is the detailed content of How to parse different types of JSON-RPC tables. For more information, please follow other related articles on the PHP Chinese website!

Statement
This article is reproduced at:stackoverflow. If there is any infringement, please contact admin@php.cn delete
Golang vs. Python: Concurrency and MultithreadingGolang vs. Python: Concurrency and MultithreadingApr 17, 2025 am 12:20 AM

Golang is more suitable for high concurrency tasks, while Python has more advantages in flexibility. 1.Golang efficiently handles concurrency through goroutine and channel. 2. Python relies on threading and asyncio, which is affected by GIL, but provides multiple concurrency methods. The choice should be based on specific needs.

Golang and C  : The Trade-offs in PerformanceGolang and C : The Trade-offs in PerformanceApr 17, 2025 am 12:18 AM

The performance differences between Golang and C are mainly reflected in memory management, compilation optimization and runtime efficiency. 1) Golang's garbage collection mechanism is convenient but may affect performance, 2) C's manual memory management and compiler optimization are more efficient in recursive computing.

Golang vs. Python: Applications and Use CasesGolang vs. Python: Applications and Use CasesApr 17, 2025 am 12:17 AM

ChooseGolangforhighperformanceandconcurrency,idealforbackendservicesandnetworkprogramming;selectPythonforrapiddevelopment,datascience,andmachinelearningduetoitsversatilityandextensivelibraries.

Golang vs. Python: Key Differences and SimilaritiesGolang vs. Python: Key Differences and SimilaritiesApr 17, 2025 am 12:15 AM

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.

Golang vs. Python: Ease of Use and Learning CurveGolang vs. Python: Ease of Use and Learning CurveApr 17, 2025 am 12:12 AM

In what aspects are Golang and Python easier to use and have a smoother learning curve? Golang is more suitable for high concurrency and high performance needs, and the learning curve is relatively gentle for developers with C language background. Python is more suitable for data science and rapid prototyping, and the learning curve is very smooth for beginners.

The Performance Race: Golang vs. CThe Performance Race: Golang vs. CApr 16, 2025 am 12:07 AM

Golang and C each have their own advantages in performance competitions: 1) Golang is suitable for high concurrency and rapid development, and 2) C provides higher performance and fine-grained control. The selection should be based on project requirements and team technology stack.

Golang vs. C  : Code Examples and Performance AnalysisGolang vs. C : Code Examples and Performance AnalysisApr 15, 2025 am 12:03 AM

Golang is suitable for rapid development and concurrent programming, while C is more suitable for projects that require extreme performance and underlying control. 1) Golang's concurrency model simplifies concurrency programming through goroutine and channel. 2) C's template programming provides generic code and performance optimization. 3) Golang's garbage collection is convenient but may affect performance. C's memory management is complex but the control is fine.

Golang's Impact: Speed, Efficiency, and SimplicityGolang's Impact: Speed, Efficiency, and SimplicityApr 14, 2025 am 12:11 AM

Goimpactsdevelopmentpositivelythroughspeed,efficiency,andsimplicity.1)Speed:Gocompilesquicklyandrunsefficiently,idealforlargeprojects.2)Efficiency:Itscomprehensivestandardlibraryreducesexternaldependencies,enhancingdevelopmentefficiency.3)Simplicity:

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
1 months agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
1 months agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
1 months agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Chat Commands and How to Use Them
1 months agoBy尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

SublimeText3 English version

SublimeText3 English version

Recommended: Win version, supports code prompts!

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

VSCode Windows 64-bit Download

VSCode Windows 64-bit Download

A free and powerful IDE editor launched by Microsoft