Parsing JSON files
For best performance, try Rust or Go. In this case, they are basically the same speed, both of them are 4 times faster than Java and 6 times faster than Python.
If you want to parse a JSON file:
In Go, using fastjson instead of encoding/json in the standard library will improve performance by 10 times.
For Rust, use simdjson instead of serde_json, and the performance will be improved by 3 times.
Rust
Two different JSON parsing libraries:
serde_json – A simple, popular JSON parser
simdjson – The fastest JSON parser. Utilize SIMD CPU instructions.
In Rust, the serde_json library is usually used for JSON parsing. First, you need to add the dependencies of serde and serde_json in the file
[dependencies] serde = { version = "1.0", features = ["derive"] } serde_json = "1.0"
Then you can create a simple Rust program:
use serde::Deserialize; use serde_json::Result; #[derive(Debug, Deserialize)] struct MyData { key1: String, key2: i32, // Add other fields as needed } fn main() -> Result<()> { let json_data = r#" { "key1": "value1", "key2": 42 // Add other fields as needed } "#; let parsed_data: MyData = serde_json::from_str(json_data)?; println!("{:?}", parsed_data); Ok(()) }
simdjson is a library for high-performance JSON parsing, and fastjson is a JSON parsing library in Go language.
Here is how to use simdjson in Rust:
[dependencies] simd-json = "0.6.3"
Code:
use simd_json::prelude::*; fn main() { let json_data = r#" { "key1": "value1", "key2": 42 // Add other fields as needed } "#; // Parse JSON data let parsed_data: JsonValue = simd_json::to_owned_value(json_data).expect("Error parsing JSON"); // Access values let key1 = parsed_data["key1"].as_str().expect("Error getting key1"); let key2 = parsed_data["key2"].as_i64().expect("Error getting key2"); println!("key1: {}", key1); println!("key2: {}", key2); }
Go language
Two different JSON parsing libraries:
encoding/json – JSON parser in the Go standard library.
valyala/fastjson – The fastest JSON parser.
In Go, you can use the encoding/json package from the standard library for JSON parsing. Here is a simple Go program:
package main import ( "encoding/json" "fmt" ) type MyData struct { Key1 string `json:"key1"` Key2 int `json:"key2"` // Add other fields as needed } func main() { jsonData := []byte(` { "key1": "value1", "key2": 42 // Add other fields as needed } `) var parsedData MyData err := (jsonData, &parsedData) if err != nil { ("Error parsing JSON:", err) return } ("%+v\n", parsedData) }
In Go you need to use the fastjson library. First, you can install it in the following ways:
go get -u /valyala/fastjson
Code:
package main import ( "fmt" "/valyala/fastjson" ) func main() { jsonData := []byte(` { "key1": "value1", "key2": 42 // Add other fields as needed } `) // Parse JSON data parsedData, err := (jsonData) if err != nil { ("Error parsing JSON:", err) return } // Access values key1, _ := ("key1") key2, _ := ("key2") ("key1:", key1) ("key2:", key2) }
Here is a demonstration of how to parse JSON data using simdjson in Rust and fastjson library in Go. Note that both libraries provide a high-performance JSON parsing method and may provide better performance when dealing with large JSON files. Depending on your needs and data volume, you can choose the parsing library that suits you.
The above is the detailed content of the high-performance JSON analysis method example of Go and Rust parsing JSON. For more information about Go Rust parsing JSON, please pay attention to my other related articles!