Looping/Iterating Over Second Level Nested JSON in Go Lang
Consider the scenario where you encounter a nested JSON structure like the one depicted below:
{ "outterJSON": { "innerJSON1": { "value1": 10, "value2": 22, "InnerInnerArray": [ "test1" , "test2"], "InnerInnerJSONArray": [ {"fld1" : "val1"} , {"fld2" : "val2"} ] }, "InnerJSON2":"NoneValue" } }
The task is to effectively iterate through this structure and retrieve all key-value pairs as strings for further processing. Unfortunately, manually defining a struct for such a dynamic JSON input is not feasible.
Efficient Iteration Approach
To navigate this challenge efficiently, a recursive approach is employed:
func parseMap(m map[string]interface{}) { for key, val := range m { // Check the type of the value switch concreteVal := val.(type) { case map[string]interface{}: // If it's a nested map, recursively call the function parseMap(val.(map[string]interface{})) case []interface{}: // If it's a nested array, call the function to parse the array parseArray(val.([]interface{})) default: // For all other types, print the key and value as a string fmt.Println(key, ":", concreteVal) } } }
This recursive function parseMap examines the type of each value in the map. If the value is itself a map, it recursively calls parseMap to traverse that nested map. If the value is an array, it calls parseArray to iterate over it. For all other types (such as strings, numbers, etc.), it simply prints the key and value as a string.
Demo
Consider the example JSON input provided earlier. Running the code below will produce the following output:
func parseArray(a []interface{}) { for i, val := range a { // Check the type of the value switch concreteVal := val.(type) { case map[string]interface{}: // If it's a nested map, recursively call the function parseMap(val.(map[string]interface{})) case []interface{}: // If it's a nested array, call the function to parse the array parseArray(val.([]interface{})) default: // For all other types, print the index and value as a string fmt.Println("Index:", i, ":", concreteVal) } } } const input = ` { "outterJSON": { "innerJSON1": { "value1": 10, "value2": 22, "InnerInnerArray": [ "test1" , "test2"], "InnerInnerJSONArray": [{"fld1" : "val1"} , {"fld2" : "val2"}] }, "InnerJSON2":"NoneValue" } } `
Output:
//outterJSON //innerJSON1 //InnerInnerJSONArray //Index: 0 //fld1 : val1 //Index: 1 //fld2 : val2 //value1 : 10 //value2 : 22 //InnerInnerArray //Index 0 : test1 //Index 1 : test2 //InnerJSON2 : NoneValue
This approach effectively captures all key-value pairs within the nested JSON, making it suitable for processing and extraction tasks in Go lang.
The above is the detailed content of How to Efficiently Iterate Through Nested JSON in Go?. For more information, please follow other related articles on the PHP Chinese website!

Go's "strings" package provides rich features to make string operation efficient and simple. 1) Use strings.Contains() to check substrings. 2) strings.Split() can be used to parse data, but it should be used with caution to avoid performance problems. 3) strings.Join() is suitable for formatting strings, but for small datasets, looping = is more efficient. 4) For large strings, it is more efficient to build strings using strings.Builder.

Go uses the "strings" package for string operations. 1) Use strings.Join function to splice strings. 2) Use the strings.Contains function to find substrings. 3) Use the strings.Replace function to replace strings. These functions are efficient and easy to use and are suitable for various string processing tasks.

ThebytespackageinGoisessentialforefficientbyteslicemanipulation,offeringfunctionslikeContains,Index,andReplaceforsearchingandmodifyingbinarydata.Itenhancesperformanceandcodereadability,makingitavitaltoolforhandlingbinarydata,networkprotocols,andfileI

Go uses the "encoding/binary" package for binary encoding and decoding. 1) This package provides binary.Write and binary.Read functions for writing and reading data. 2) Pay attention to choosing the correct endian (such as BigEndian or LittleEndian). 3) Data alignment and error handling are also key to ensure the correctness and performance of the data.

The"bytes"packageinGooffersefficientfunctionsformanipulatingbyteslices.1)Usebytes.Joinforconcatenatingslices,2)bytes.Bufferforincrementalwriting,3)bytes.Indexorbytes.IndexByteforsearching,4)bytes.Readerforreadinginchunks,and5)bytes.SplitNor

Theencoding/binarypackageinGoiseffectiveforoptimizingbinaryoperationsduetoitssupportforendiannessandefficientdatahandling.Toenhanceperformance:1)Usebinary.NativeEndianfornativeendiannesstoavoidbyteswapping.2)BatchReadandWriteoperationstoreduceI/Oover

Go's bytes package is mainly used to efficiently process byte slices. 1) Using bytes.Buffer can efficiently perform string splicing to avoid unnecessary memory allocation. 2) The bytes.Equal function is used to quickly compare byte slices. 3) The bytes.Index, bytes.Split and bytes.ReplaceAll functions can be used to search and manipulate byte slices, but performance issues need to be paid attention to.

The byte package provides a variety of functions to efficiently process byte slices. 1) Use bytes.Contains to check the byte sequence. 2) Use bytes.Split to split byte slices. 3) Replace the byte sequence bytes.Replace. 4) Use bytes.Join to connect multiple byte slices. 5) Use bytes.Buffer to build data. 6) Combined bytes.Map for error processing and data verification.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

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.

Atom editor mac version download
The most popular open source editor

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

Dreamweaver Mac version
Visual web development tools

Zend Studio 13.0.1
Powerful PHP integrated development environment
