("INSERT INTO users (name) VALUES ($1)", "Alice") .execute(&mut tx) .await?; sqlx::query!("UPDATE balance SET amount = amount + $1 WHERE user_id = $2", 100, 1) .execute(&mut tx) .await?; tx.commit().await?; 5.2
query("INSERT INTO users (name, email) VALUES (?, ?)") .bind("Alice") .bind("alice@example.com") .execute(&pool) .await?;Ok(()) } 这里使用了bind方法绑定参数,可以避免SQL注入攻击。 查询数据 下面的代码演示了如何使用SQLx查询users表中所有数据: usesqlx::{query_as, SqlitePool};#[derive...
await?; query("INSERT INTO users (name, email) VALUES (?, ?)") .bind("Alice") .bind("alice@example.com") .execute(&pool) .await?; Ok(()) } 5. 查询数据 查询数据同样简单。以下是一个示例代码,展示了如何查询 users 表中的所有数据: rust use sqlx::{query_as, SqlitePool}; #...
使用query_as()方法执行SQL查询语句时,可以自动将返回结果转换为指定类型的结构体,例如: usesqlx::{MySqlPool, FromRow};#[derive(Debug, FromRow)]structUser{ id:i32, name:String, }#[tokio::main]asyncfnmain() - >Result< (), sqlx::Error > {letpool = MySqlPool::connect("mysql://username:p...
I attempted to migrate one of my projects from chrono to jiff using the jiff-sqlx crate, but it appears that jiff-sqlx is not compatible with the query! and query_as! macros which are used for static type checking of SQL queries (not to ...
1234567891011121314schema :=CREATE TABLE place ( country text, city text NULL, telcode integer);// execute a query on the serverresult, err := db.Exec(schema) // or, you can use MustExec, which panics on errorcityState :=INSERT INTO place (country, telcode) VALUES (?, ?)countryCity ...
use sqlx::query; #[derive(sqlx::FromRow)] struct User { id: i32, name: String, age: i32, } #[tokio::main] async fn main() -> Result<(), sqlx::Error> { let column_name = "name"; // 动态指定的列名 let query = query!( "SELECT id, $column_name as name, age FROM...
telcode integer);`// execte a query on the serverresult, err := db.Exec(schema)// or, you can use MustExec, which panics on errorcityState :=`INSERT INTO place (country, city, telcode) VALUES (?,?)`countryCity :=`INSERT INTO place (country, city, telcode) VALUES (?,?,?)`db...
Their bind names follow the same rules // as the name -> db mapping, so struct fields are lowercased and the `db` tag // is taken into consideration. rows, err = db.NamedQuery(`SELECT * FROM person WHERE first_name=:first_name`, jason) // batch insert // batch insert with ...
sqlStr := "INSERT INTO user (name,age) VALUES (:name,:age)" _, err = db.NamedExec(sqlStr, map[string]interface{}{ "name": "七米", "age": 28, }) return } NamedQuery 与DB.NamedExec同理,这里是支持查询。 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 ...