rbatis 1.4.6

Rust ORM Framework High Performance高性能Rust ORM框架(JSON based)
Documentation

A ORM formwork Rustlang-based,dynamic sql, no Runtime,No Garbage Collector, low Memory use,High Performance orm Framework. support async_std,tokio

This crate uses #![forbid(unsafe_code)] to ensure everything is implemented in 100% Safe Rust.

rbatis 是一个无GC无虚拟机无运行时Runtime直接编译为机器码,并发安全的 数据库 ORM框架，并且所有数据传值均使用json（serde_json）使用百分之百的安全代码实现

Build Status

Image text

way not diesel,way not sqlx ? 为什么不选择diesel,sqlx之类的框架?
框架 协程异步async高并发 使用难度 同时支持Xml/Wrapper/内置增删改查 logic del逻辑删除插件 page分页插件
rbatis √ 非常简单 √ √ √
sqlx √ 难（强依赖宏和 莫名其妙的环境变量） x x x
diesel x 简单（缺xml支持） x x x
和其他语言对比性能压测(环境（docker）仅供参考)
语言 框架 数据库 count语句（1万次） 纳秒/每操作（低越好） 查询数/秒Qps(高越好) 内存（低越好）
Rust语言 rbatis/tokio mysql(docker with 1CPU,1G Mem) select count(1) from table; 965649 ns/op 1035 Qps/s 2.1MB
Go语言 GoMybatis/http mysql(docker with 1CPU,1G Mem) select count(1) from table; 1184503 ns/op 844 Qps/s 28.4MB
  • 使用最通用的json数据结构（基于serde_json）进行传参和通讯
  • 高性能，单线程benchmark 可轻松拉起200000 QPS/s（直接返回数据（数据库查询时间损耗0），win10,6 core i7,16GB） 多线程更高 远超go语言版本的GoMyBatis
  • 多功能，逻辑删除插件+分页插件+Py风格Sql+基本的Mybatis功能
  • 支持future,async await（理论上，假设严格按照async_std/tokio库替代所有io操作，那么并发量可远远超过go语言）
  • 日志支持,可自定义具体日志（基于标准库log(独立于任何特定的日志记录库)，日志可选任意第三方库实现）
  • 使用百分百的安全代码实现(lib.rs加入了"#![forbid(unsafe_code)]" 禁止不安全的unsafe代码)
  • 示例代码（需要Clion导入）
  • 示例项目（需要Clion导入）
项目实战 https://github.com/rbatis/abs_admin
使用方法：添加依赖(Cargo.toml)
# add this library,and cargo install

#json支持(必须)
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"

#日期支持(必须)
chrono = { version = "0.4", features = ["serde"] }

#log日志支持(必须)
log = "0.4"
fast_log="1.2.2"

#rbatis支持，版本必须保持一致(必须)
rbatis-core = { version = "1.4.6", features = ["all"]}
rbatis =  { version = "1.4.6" } 

#BigDecimal支持(非必须，适合金额计算场景)
bigdecimal = "0.1.2"
一分钟快速学会， QueryWrapper，常用方法(详见example/crud_test.rs)
///表结构
#[derive(Serialize, Deserialize, Clone, Debug)]
pub struct BizActivity {
    pub id: Option<String>,
    pub name: Option<String>,
    pub pc_link: Option<String>,
    pub h5_link: Option<String>,
    pub pc_banner_img: Option<String>,
    pub h5_banner_img: Option<String>,
    pub sort: Option<String>,
    pub status: Option<i32>,
    pub remark: Option<String>,
    pub create_time: Option<NaiveDateTime>,
    pub version: Option<i32>,
    pub delete_flag: Option<i32>,
}

/// 实现CRUDEnable接口,以支持自动识别。自动识别表名为'biz_activity'如果不正确，可以重写 fn table_name()方法！
impl CRUDEnable for BizActivity {
    type IdType = String;
}

#[actix_rt::main]
async fn main() {
///rbatis初始化，rbatis是线程安全可使用lazy_static 定义为全局变量
let rb = Rbatis::new();
///连接数据库   
rb.link("mysql://root:123456@localhost:3306/test").await.unwrap();
///自定义连接池参数。(可选)
// let mut opt =PoolOptions::new();
// opt.max_size=100;
// rb.link_opt("mysql://root:123456@localhost:3306/test",&opt).await.unwrap();
///新建的wrapper sql逻辑
let wrapper = rb.new_wrapper()
            .eq("id", 1)                    //sql:  id = 1
            .and()                          //sql:  and 
            .ne("id", 1)                    //sql:  id <> 1
            .in_array("id", &[1, 2, 3])     //sql:  id in (1,2,3)
            .not_in("id", &[1, 2, 3])       //sql:  id not in (1,2,3)
            .like("name", 1)                //sql:  name like 1
            .or()                           //sql:  or
            .not_like("name", "asdf")       //sql:  name not like 'asdf'
            .between("create_time", "2020-01-01 00:00:00", "2020-12-12 00:00:00")//sql:  create_time between '2020-01-01 00:00:00' and '2020-01-01 00:00:00'
            .group_by(&["id"])              //sql:  group by id
            .order_by(true, &["id", "name"])//sql:  group by id,name
            .check().unwrap();

let activity = BizActivity {
                id: Some("12312".to_string()),
                name: None,
                remark: None,
                create_time: Some(NaiveDateTime::now()),
                version: Some(1),
                delete_flag: Some(1),
            };
///保存
rb.save("",&activity).await;
//Exec ==> INSERT INTO biz_activity (create_time,delete_flag,h5_banner_img,h5_link,id,name,pc_banner_img,pc_link,remark,sort,status,version) VALUES ( ? , ? , ? , ? , ? , ? , ? , ? , ? , ? , ? , ? )

///批量保存
rb.save_batch("", &vec![activity]).await;
//Exec ==> INSERT INTO biz_activity (create_time,delete_flag,h5_banner_img,h5_link,id,name,pc_banner_img,pc_link,remark,sort,status,version) VALUES ( ? , ? , ? , ? , ? , ? , ? , ? , ? , ? , ? , ? ),( ? , ? , ? , ? , ? , ? , ? , ? , ? , ? , ? , ? )

///查询, Option包装，有可能查不到数据则为None
let result: Option<BizActivity> = rb.fetch_by_id("", &"1".to_string()).await.unwrap();
//Query ==> SELECT create_time,delete_flag,h5_banner_img,h5_link,id,name,pc_banner_img,pc_link,remark,sort,status,version  FROM biz_activity WHERE delete_flag = 1  AND id =  ? 

///查询-全部
let result: Vec<BizActivity> = rb.list("").await.unwrap();
//Query ==> SELECT create_time,delete_flag,h5_banner_img,h5_link,id,name,pc_banner_img,pc_link,remark,sort,status,version  FROM biz_activity WHERE delete_flag = 1

///批量-查询id
let result: Vec<BizActivity> = rb.list_by_ids("",&["1".to_string()]).await.unwrap();
//Query ==> SELECT create_time,delete_flag,h5_banner_img,h5_link,id,name,pc_banner_img,pc_link,remark,sort,status,version  FROM biz_activity WHERE delete_flag = 1  AND id IN  (?) 

///自定义查询
let w = rb.new_wrapper().eq("id", "1").check().unwrap();
let r: Result<Option<BizActivity>, Error> = rb.fetch_by_wrapper("", &w).await;
//Query ==> SELECT  create_time,delete_flag,h5_banner_img,h5_link,id,name,pc_banner_img,pc_link,remark,sort,status,version  FROM biz_activity WHERE delete_flag = 1  AND id =  ? 

///删除
rb.remove_by_id::<BizActivity>("", &"1".to_string()).await;
//Exec ==> UPDATE biz_activity SET delete_flag = 0 WHERE id = 1

///批量删除
rb.remove_batch_by_id::<BizActivity>("", &["1".to_string(), "2".to_string()]).await;
//Exec ==> UPDATE biz_activity SET delete_flag = 0 WHERE id IN (  ?  ,  ?  ) 

///修改
let w = rb.new_wrapper().eq("id", "12312").check().unwrap();
rb.update_by_wrapper("", &activity, &w).await;
//Exec ==> UPDATE biz_activity SET  create_time =  ? , delete_flag =  ? , status =  ? , version =  ?  WHERE id =  ? 
}

///...还有更多方法，请查看crud.rs
逻辑删除插件使用(逻辑删除针对Rbatis提供的查询方法和删除方法有效，例如方法 list**(),remove**()，fetch**())
   let mut rb = init_rbatis().await;
   //rb.logic_plugin = Some(Box::new(RbatisLogicDeletePlugin::new_opt("delete_flag",1,0)));//自定义已删除/未删除 写法
   rb.logic_plugin = Some(Box::new(RbatisLogicDeletePlugin::new("delete_flag")));
   rb.link("mysql://root:123456@localhost:3306/test").await.unwrap();
           let r = rb.remove_batch_by_id::<BizActivity>("", &["1".to_string(), "2".to_string()]).await;
           if r.is_err() {
               println!("{}", r.err().unwrap().to_string());
   }
分页插件使用
        let mut rb = Rbatis::new();
        rb.link("mysql://root:123456@localhost:3306/test").await.unwrap();
        //框架默认RbatisPagePlugin，如果需要自定义的话需要结构体 必须实现impl PagePlugin for Plugin***{}，例如：
        //rb.page_plugin = Box::new(RbatisPagePlugin {});

        let req = PageRequest::new(1, 20);//分页请求，页码，条数
        let wraper= rb.new_wrapper()
                    .eq("delete_flag",1)
                    .check()
                    .unwrap();
        let data: Page<BizActivity> = rb.fetch_page_by_wrapper("", &wraper,  &req).await.unwrap();
        println!("{}", serde_json::to_string(&data).unwrap());

//2020-07-10T21:28:40.036506700+08:00 INFO rbatis::rbatis - [rbatis] Query ==> SELECT count(1) FROM biz_activity  WHERE delete_flag =  ? LIMIT 0,20
//2020-07-10T21:28:40.040505200+08:00 INFO rbatis::rbatis - [rbatis] Args  ==> [1]
//2020-07-10T21:28:40.073506+08:00 INFO rbatis::rbatis - [rbatis] Total <== 1
//2020-07-10T21:28:40.073506+08:00 INFO rbatis::rbatis - [rbatis] Query ==> SELECT  create_time,delete_flag,h5_banner_img,h5_link,id,name,pc_banner_img,pc_link,remark,sort,status,version  FROM biz_activity  WHERE delete_flag =  ? LIMIT 0,20
//2020-07-10T21:28:40.073506+08:00 INFO rbatis::rbatis - [rbatis] Args  ==> [1]
//2020-07-10T21:28:40.076506500+08:00 INFO rbatis::rbatis - [rbatis] Total <== 5

{
	"records": [{
		"id": "12312",
		"name": "null",
		"pc_link": "null",
		"h5_link": "null",
		"pc_banner_img": "null",
		"h5_banner_img": "null",
		"sort": "null",
		"status": 1,
		"remark": "null",
		"create_time": "2020-02-09T00:00:00+00:00",
		"version": 1,
		"delete_flag": 1
	}],
	"total": 5,
	"size": 20,
	"current": 1,
	"serch_count": true
}
py风格sql语法Example
//执行到远程mysql 并且获取结果。支持serde_json可序列化的任意类型
        let rb = Rbatis::new();
        rb.link("mysql://root:123456@localhost:3306/test").await.unwrap();
            let py = r#"
        SELECT * FROM biz_activity
        WHERE delete_flag = #{delete_flag}
        if name != null:
          AND name like #{name+'%'}
        if ids != null:
          AND id in (
          trim ',':
             for item in ids:
               #{item},
          )"#;
            let data: serde_json::Value = rb.py_fetch("", py, &json!({   "delete_flag": 1 })).await.unwrap();
            println!("{}", data);

日志系统(这里举例使用fast_log)

 //main函数加入
 use log::{error, info, warn};
 fn  main(){
      fast_log::log::init_log("requests.log", &RuntimeType::Std).unwrap();
      info!("print data");
 }

自定义连接池大小，超时，活跃连接数等等

use rbatis_core::db::PoolOptions;

pub async fn init_rbatis() -> Rbatis {
let rb = Rbatis::new();
let mut opt = PoolOptions::new();
opt.max_size = 20;
rb.link_opt("mysql://root:123456@localhost:3306/test", &opt).await.unwrap();
}

XML使用方法

/**
* 数据库表模型
*/
#[derive(Serialize, Deserialize, Debug, Clone)]
pub struct Activity {
    pub id: Option<String>,
    pub name: Option<String>,
    pub pc_link: Option<String>,
    pub h5_link: Option<String>,
    pub pc_banner_img: Option<String>,
    pub h5_banner_img: Option<String>,
    pub sort: Option<String>,
    pub status: Option<i32>,
    pub remark: Option<String>,
    pub create_time: Option<NaiveDateTime>,
    pub version: Option<i32>,
    pub delete_flag: Option<i32>,
}
fn main() {
    async_std::task::block_on(
           async move {
               fast_log::log::init_log("requests.log", &RuntimeType::Std).unwrap();
               let mut rb = Rbatis::new();
               rb.link("mysql://root:123456@localhost:3306/test").await.unwrap();
               //xml数据建议以 XXMapper.xml 的格式存储管理
               rb.load_xml("test", r#"<?xml version="1.0" encoding="UTF-8"?>
   <!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
           "https://raw.githubusercontent.com/zhuxiujia/Rbatis/master/rbatis-mapper.dtd">
   <mapper>
       <result_map id="BaseResultMap" table="biz_activity">
           <id column="id"/>
           <result column="name" lang_type="string"/>
           <result column="pc_link" lang_type="string"/>
           <result column="h5_link" lang_type="string"/>
           <result column="pc_banner_img" lang_type="string"/>
           <result column="h5_banner_img" lang_type="string"/>
           <result column="sort" lang_type="string"/>
           <result column="status" lang_type="number"/>
           <result column="remark" lang_type="string"/>
           <result column="version" lang_type="number" version_enable="true"/>
           <result column="create_time" lang_type="time"/>
           <result column="delete_flag" lang_type="number" logic_enable="true" logic_undelete="1"
                   logic_deleted="0"/>
       </result_map>
       <select id="select_by_condition">
           <bind name="pattern" value="'%' + name + '%'"/>
           select * from biz_activity
           <where>
               <if test="name != null">and name like #{pattern}</if>
               <if test="startTime != null">and create_time >= #{startTime}</if>
               <if test="endTime != null">and create_time &lt;= #{endTime}</if>
           </where>
           order by create_time desc
           <if test="page != null and size != null">limit #{page}, #{size}</if>
       </select>
   </mapper>"#).unwrap();
   
               let arg = &json!({
               "delete_flag": 1,
               "name": "test",
               "startTime": null,
               "endTime": null,
               "page": 0,
               "size": 20
               });
               let data: Vec<BizActivity> = rb.xml_fetch("", "test", "select_by_condition", arg).await.unwrap();
               println!("{}", serde_json::to_string(&data).unwrap_or("".to_string()));
           }
       )
}
//输出结果
//2020-06-27T03:13:40.422307200+08:00 INFO rbatis::rbatis - [rbatis] >> fetch sql: select * from biz_activity where name like  ? order by create_time desc limit  ? ,  ?   (src\rbatis.rs:198)
//2020-06-27T03:13:40.424307300+08:00 INFO rbatis::rbatis - [rbatis] >> fetch arg:["%test%",0,20]  (src\rbatis.rs:199)
//2020-06-27T03:13:40.446308900+08:00 INFO rbatis::rbatis - [rbatis] << 4  (src\rbatis.rs:234)
//[{"id":"221","name":"test","pc_link":"","h5_link":"","pc_banner_img":null,"h5_banner_img":null,"sort":"0","status":0,"remark":"","create_time":"2020-06-17T20:10:23Z","version":0,"delete_flag":1},{"id":"222","name":"test","pc_link":"","h5_link":"","pc_banner_img":null,"h5_banner_img":null,"sort":"0","status":0,"remark":"","create_time":"2020-06-17T20:10:23Z","version":0,"delete_flag":1},{"id":"223","name":"test","pc_link":"","h5_link":"","pc_banner_img":null,"h5_banner_img":null,"sort":"0","status":0,"remark":"","create_time":"2020-06-17T20:10:23Z","version":0,"delete_flag":1},{"id":"178","name":"test_insret","pc_link":"","h5_link":"","pc_banner_img":null,"h5_banner_img":null,"sort":"1","status":1,"remark":"","create_time":"2020-06-17T20:08:13Z","version":0,"delete_flag":1}]

事务支持

   async_std::task::block_on(async {
        let rb = Rbatis::new();
        rb.link("mysql://root:123456@localhost:3306/test").await.unwrap();
        let tx_id = "1";//事务id号
        rb.begin(tx_id).await.unwrap();
        let v: serde_json::Value = rb.fetch(tx_id, "SELECT count(1) FROM biz_activity;").await.unwrap();
        println!("{}", v.clone());
        rb.commit(tx_id).await.unwrap();
    });

Web框架支持(这里举例actix-web,支持所有基于tokio,async_std的web框架)

lazy_static! {
   static ref RB:Rbatis=Rbatis::new();
}

async fn index() -> impl Responder {
    let v:Result<i32,rbatis_core::Error> = RB.fetch("", "SELECT count(1) FROM biz_activity;").await;
    HttpResponse::Ok().body(format!("count(1)={}",v.unwrap_or(0)))
}

#[actix_rt::main]
async fn main() -> std::io::Result<()> {
    //日志
    fast_log::log::init_log("requests.log", &RuntimeType::Std).unwrap();
    //链接数据库
    RB.link("mysql://root:123456@localhost:3306/test").await.unwrap();
    //http路由
    HttpServer::new(|| {
        App::new()
            .route("/", web::get().to(index))
    })
        .bind("127.0.0.1:8000")?
        .run()
        .await
}

支持数据结构列表

数据库 已支持
Option √
Vec √
HashMap √
Slice √
i32,i64,f32,f64,bool,String...more rust type √
NativeDateTime √
BigDecimal √
serde_json::Value...more serde type √

支持数据库类型√已支持.进行中

数据库 已支持
Mysql √
Postgres √
Sqlite √
TiDB √
CockroachDB √

进度表-按照顺序实现

功能 已支持
CRUD(内置CRUD模板(内置CRUD支持逻辑删除插件)) √
LogSystem(日志组件) √
Tx(事务/事务嵌套/注解声明式事务) √
Py(在SQL中使用和xml等价的类python语法) √
SlowSqlCount(内置慢查询日志分析) √
async/await支持 √
PagePlugin(分页插件) √
LogicDelPlugin(逻辑删除插件) √
DataBaseConvertPlugin(数据库表结构转换为配置插件) x
web(可视化Web UI) x

基准测试benchmark (测试平台 win10,6 core i7,16GB)

分步骤压测

//sql构建性能  Example_ActivityMapper.xml -> select_by_condition
操作/纳秒nano/op: 0.202 s,each:2020 nano/op
事务数/秒 TPS: 495049.50495049503 TPS/s

//查询结果解码性能 decode/mysql_json_decoder  ->  bench_decode_mysql_json
操作/纳秒nano/op: 0.24 s,each:2400 nano/op
事务数/秒 TPS: 416666.6666666667 TPS/s

//综合性能约等于
操作/纳秒nano/op:   4420 nano/op 
事务数/秒 TPS: 200000  TPS/s
  • 结论： 假设IO耗时为0的情况下，仅单线程 便有高达20万QPS/TPS，性能也是go语言版、java版 等等有GC暂停语言的 几倍以上性能

FAQ 常见问题

  • 日期时间和BigDecimal支持？ 已支持chrono::NaiveDateTime和bigdecimal::BigDecimal
  • async await支持？ 已同时支持async_std和tokio
  • postgres 的stmt使用$1,$2而不是mysql的?,那么是否需要特殊处理？ 不需要，因为rbatis 99%的api使用#{}描述参数变量，只需要写具体参数名称，不需要对应数据库的符号。
  • oracle数据库驱动支持？ 不支持，应该坚持去IOE
  • 直接使用驱动依赖项目里哪个库？ 应该使用rbatis-core， Cargo.toml 加入 rbatis-core = "*"
  • 如何选择运行时是tokio还是async_std？
# Cargo.toml 加入 
rbatis-core = { features = ["runtime-async-std","all-type"]}
# 或者Cargo.toml 加入 
# rbatis-core = { features = ["runtime-tokio","all-type"]}

和Rbatis相关项目

TODO 即将到来的特性

为了大家有一款称心如意的ORM框架，编写非常非常耗时且不容易，欢迎微信捐赠支持或者右上角点下star

Image text