EN1. 在json 序列化时，可以自动处理哪些数据类型 可以处理的数据类型 str int list tuple dict bool ...
pub struct Serializer<W, F = CompactFormatter> { writer: W, // 负责写入序列化后的数据 formatter: F, // 负责格式化JSON数据,默认是紧凑格式,即CompactFormatter } 我们先看看看serde_json会如何将i32序列化为JSON格式 // 将value转为JSON格式的字符串 pub fn to_string<T>(value: &T) -> Resul...
比如描述类圆中有半径，要求半径可以用int，也可以用double。那么此时数据类型不确定，就使用泛型，把数据...
use serde::{Serialize, Deserialize}; #[derive(Serialize, Deserialize)] struct Message { content: String, } fn main() { let message = Message { content: "Hello from Rust!".to_string(), }; let json = serde_json::to_string(&message).unwrap(); println!("JSON: {}", json); } 复...
Additionally this crate supports the Serdewithattribute to enable efficient handling of&[u8]andVec<u8>in structs without needing a wrapper type. Example useserde::{Deserialize,Serialize};#[derive(Deserialize,Serialize)]structEfficient<'a>{#[serde(with ="serde_bytes")]bytes:&'a[u8],#[serde...
useserde::Serialize;useserde_cbor::Serializer;useserde_cbor::ser::SliceWrite;#[derive(Serialize)]structUser{user_id:u32,password_hash: [u8;4], }letmutbuf=[0u8;100];letwriter=SliceWrite::new(&mutbuf[..]);letmutser=Serializer::new(writer);letuser=User{user_id:42,password_hash: [...
; let bytes = serde_columnar::to_vec(&store).unwrap(); let store_from_bytes = serde_columnar::from_bytes::<VecStore>(&bytes).unwrap(); 为了表述得更加清晰, 我们把包含列表(list)或者哈希表(map)的 struct 或者enum 称做Table, 比如上面定义的 VecStore 。并且把列表或者哈希表中储存的struct...
struct User { name: String, age: i32, email: String } 3. 打开sled数据库并选择一个数据库表名。 let db = sled::open("/tmp/db").expect("Unable to open db!"); let users_db = db.open_tree("users").unwrap(); 4. 创建一个新用户并将其保存在sled数据库中。
to_string()), Rule::new(RuleType::Domain, "c.test.com".to_string()), ], ]; let rules = merge_and_remove_duplicates(rules_vec); for rule in &rules { println!("{}", rule); } assert_eq!(rules.len(), 4); } #[derive(Debug)] struct Domain { domain: String,...
complex type (like a struct). To access sub fields in such complex typed objects, an operator would use the object inspector associated with that field (The top level StructObjectInspector for the row maintains a list of field level object inspectors which can be used to interpret individual ...