9 stable releases

new 1.3.3 Jun 7, 2024
1.3.1 Jun 5, 2024
1.2.4 May 20, 2024
1.2.1 Oct 20, 2023
1.0.1 Aug 28, 2023

#294 in Database interfaces

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MIT license

120KB
2K SLoC

mssql 数据库连接方法封装

use mssql_quick::{
    ms_run_vec, mscount, msdel, msfind, msget, msset, mssetmany, msupdate, msupdatemany,
    EncryptionLevel, MssqlQuick, MssqlQuickSet,
};

const MSSQL_URL: &str = "server=tcp:localhost,1433;user=SA;password=ji83laa;database=dev_db;IntegratedSecurity=true;TrustServerCertificate=true";

let mut client = MssqlQuick::new(MSSQL_URL, EncryptionLevel::NotSupported)
    .await
    .unwrap()
    .client;

mssql sql执行

运行sql 说明
ms_run_vec 执行sql,返回vec类型数据,无数据则返回vec![]
// 执行 sql 语句
let data: Vec<serde_json::Value> = ms_run_vec(&mut conn, sql).unwrap();

sql快捷生成

sql快捷生成方法 说明
mscount 返回计数的sql
msdel 删除一条数据的sql
msdelmany 批量删除数据的sql
msfind 查寻数据的sql
msget 查寻一条数据的sql
msset 新增一条数据的sql
mssetmany 批量新增数据的sql
msupdate 更新一条数据的sql
msupdatemany 批量更新数据的sql
自定义 可以直接写自己的sql语句

以下内容,则为常用sql的快捷方法


// 新增一条数据
ms_run_vec(&mut client, msset!("for_test", {
    "content": "ADFaadf",
    "uid": 9,
    "info": if let Some(a) = one_info {a} else {"null"},
})).await.unwrap();

// 删除一条数据
ms_run_vec(&mut client, msdel!("for_test", 50)).await.unwrap();

// 更新一条数据
ms_run_vec(&mut client, msupdate!("for_test", 56, {
    "content": "更新后的内容,一一一一"
})).await.unwrap();

// 批量 新增数据
mssetmany!("for_test", vec![
    Item {uid: 1, content: "批量更新00adf"},
    Item {uid: 2, content: "2342341"},
    Item {uid: 3, content: "mmmmm"},
])
ms_run_vec(&mut client, msql).await.unwrap();

// 批量 更新数据
let sql = msupdatemany!("for_test", "uid", vec![
    Item {uid: 1, content: "批量更新00adf"},
    Item {uid: 2, content: "2342341"},
])
ms_run_vec(&mut client, sql).await.unwrap();



// 获取一条数据
let sql1 = msget!("for_test", 33, "id, content as cc");
#[derive(Serialize, Deserialize, Debug)]
struct Feedback {
    id: u64,
    cc: String
}
let res_get: Vec<Feedback> = ms_run_vec(&mut client, sql1).await.unwrap();

// 查寻数据
let sql_f = msfind!("for_test", {
    p0: ["uid", ">", 330],
    r: "p0",
    select: "id,content as cc",
});
let res_find: Vec<Feedback> = ms_run_vec(&mut client, sql_f).await.unwrap();

// 获取计数
let res_count: Vec<MssqlQuickCount> = ms_run_vec(&mut client, mscount!("for_test", {})).await.unwrap();

// 自定义查寻
let list: Vec<serde_json::Value> =
    ms_run_vec(&mut client, "select distinct type_v3 from dishes".to_owned()).await.unwrap();

组合查寻

通过 Sql 包裹

use mssql_quick::Sql;

let sql1 = msfind!("Hospital", {
    p0: ["HospitalName", "like", "信息%"],
    r: "p0",
    select: "HospitalId",
});
let sql2 = mscount!("DataBase..Patient", { // 对其他库的表查寻
    p0: ["InvestigationId", "=", Sql("Investigation.InvestigationId")],
    r: "p0",
});

let sql = msfind!("Investigation", {
    j1: ["HospitalId", "inner", "Hospital.HospitalId"],
    p0: ["HospitalId", "in", Sql(sql1)],
    p1: ["InvType", "=", "门诊"],
    r: "p0 && p1",
    select: "InvestigationId, HospitalId, (".to_string()
        + sql2.as_str() + ") as patient_count",  // 如果自己写sql语句,要注意sql注入
});

println!("sql>>>>>  {} \n", sql);

Dependencies

~11–20MB
~246K SLoC