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README
Apache-2.0

DataQL 数据查询引擎

  DataQL(Data Query Language)DataQL 是一种查询语言。旨在通过提供直观、灵活的语法来描述客户端应用程序的数据需求和交互。

  数据的存储根据其业务形式通常是较为简单的,并不适合直接在页面上进行展示。因此开发页面的前端工程师需要为此做大量的工作,这就是 DataQL 极力解决的问题。

  例如:下面这个 DataQL 从 user 函数中查询 id 为 4 的用户相关信息并返回给应用。

return userByID({'id': 4}) => {
    'name',
    'sex' : (sex == 'F') ? '' : '' ,
    'age' : age + ''
}

返回结果:

{
  'name' : '马三',
  'sex'  : '男',
  'age'  : '25岁'
}

特性

  1. 层次结构:多数产品都涉及数据的层次结构,为了保证结构的一致性 DataQL 结果也是分层的。
  2. 数据为中心:前端工程是一个比较典型的场景,但是 DataQL 不局限于此(后端友好性)。
  3. 弱类型定义:语言中不会要求声明任何形式的类型结构。
  4. 简单逻辑:具备简单逻辑处理能力:表达式计算、对象取值、条件分支、lambda和函数。
  5. 编译运行:查询的执行是基于编译结果的。
  6. 混合语言:允许查询中混合任意的其它语言代码,典型的场景是查询中混合 SQL 查询语句。
  7. 类 JS 语法:类JS语法设计,学习成本极低。

样例

public class UserByIdUdf implements Udf {
    public UserInfo call(Hints readOnly, Object[] params) {
        ...
    }
}

public class ConsoleDemo {
    public static void main(String[] args) {
        AppContext appContext = Hasor.create().build((QueryModule) apiBinder -> {
            apiBinder.addShareVarInstance("userByID", new UserByIdUdf());

        });
        DataQL dataQL = appContext.getInstance(DataQL.class);
        QueryResult queryResult = dataQL.createQuery("return userByID({'id': 4}) => {" +
                                                     "    'name'," +
                                                     "    'sex' : (sex == 'F') ? '男' : '女' ," +
                                                     "    'age' : age + '岁'" +
                                                     "}").execute();
        DataModel dataModel = queryResult.getData();
    }
}

子项目:Dataway 数据接口配置服务

  依托 DataQL 服务聚合能力,为应用提供一个 UI 界面。并以 jar 包的方式集成到应用中。 通过 Dataway 可以直接在界面上配置和发布接口。

  这种模式的革新使得开发一个接口不必在编写任何形式的代码,只需要配置一条 DataQL 查询即可完成满足前端对接口的需求。 从而避免了从数据库到前端之间一系列的开发配置任务,例如:Mapper、DO、DAO、Service、Controller 统统不在需要。

  Dataway特意采用了 jar包集成的方式发布,这使得任意的老项目都可以无侵入的集成 Dataway。 直接改进老项目的迭代效率,大大减少企业项目研发成本。

avatar

  如上图所示 Dataway 在开发模式上提供了巨大的便捷。 虽然工作流程中标识了由后端开发来配置 DataQL 接口,但这主要是出于考虑接口责任人。 但在实际工作中根据实际情况需要,配置接口的人员可以是产品研发生命周期中任意一名角色。


主打场景

  主打场景并不是说 Dataway 适用范围仅限于此,而是经过多次项目实践。我们认为下面这些场景会有非常好的预期效果。 比如说 取数据 在一些报表、看板项目中即便是取数据逻辑在复杂。我们依然做到了真正的 零 开发,所有取数逻辑全部通过 DataQL + SQL 的方式满足。 对比往期项目对于后端技术人员的需求从 3~5 人的苦逼通宵加班,直接缩减为 1人配置化搞定。

  再比如,某个内部类 ERP 项目,20多个表单页面,后端部分仅有 1000 行左右的核心代码。其它数据存取逻辑全部配置化完成。

  1. 取数据
    • 如果你只想从数据库或者服务中获取某类数据,不需要: VO、BO、Convert、DO、Mapper 这类东西。
  2. 存数据
    • 如果是从页面表单递交数据到数据库或者服务,免去 BO、FormBean、DO、Mapper 这类东西。
  3. 数据聚合
    • 基于服务调用结果经过结构转换并响应给前端。
    • 将数据库和服务等多个结果进行汇聚然后返回给前端。

技术架构

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  刚一接触 DataQL 可能会有一种错觉认为 DataQL 是一个高级别的 ORM 工具。 这一点需要澄清。DataQL 的竞品应是 GraphQL,而非 ORM 框架。

  ORM 类框架有一个最大的特点是具有 Mapping 过程,然后通过框架在进行 CURD 操作。 例如:Mybatis、Hibernate。其中有一些甚至做到了更高级的界面化例如: apijson,但其本质依然是 ORM。

  而 DataQL 有很大不同。虽然 DataQL 提供了非常出色的基于 SQL 数据存取能力。但从技术架构上来审视它并不是 ORM 框架。 它没有 ORM 中最关键的 Mapping 过程。DataQL 专注的是:结果转换、数据和服务的聚合查询。

  造成 ORM 错觉的是由于 DataQL 充分利用 UDF 和 Fragment 组合,提供了更便捷的数据库访问配置化而已。


Spring 中使用 Dataway

  Dataway 是 Hasor 生态中的一员,使用 Dataway 第一步需要通过 hasor-spring 打通两个生态。

<!-- 引入依赖 -->
<dependency>
    <groupId>net.hasor</groupId>
    <artifactId>hasor-spring</artifactId>
    <version>4.2.2</version>
</dependency>
<dependency>
    <groupId>net.hasor</groupId>
    <artifactId>hasor-dataway</artifactId>
    <version>4.2.2</version>
</dependency>
@EnableHasor()      // 在Spring 中启用 Hasor
@EnableHasorWeb()   // 将 hasor-web 配置到 Spring 环境中,Dataway 的 UI 是通过 hasor-web 提供服务。

  然后第二步,在应用的 application.properties 配置文件中启用 Dataway

# 启用 Dataway 功能(默认不启用)
HASOR_DATAQL_DATAWAY=true
# 开启 ui 管理功能(注意生产环境必须要设置为 false,否则会造成严重的生产安全事故)
HASOR_DATAQL_DATAWAY_ADMIN=true

# (可选)API工作路径
HASOR_DATAQL_DATAWAY_API_URL=/api/
# (可选)ui 的工作路径,只有开启 ui 管理功能后才有效
HASOR_DATAQL_DATAWAY_UI_URL=/interface-ui/

  第三步,初始化 dataway 的必要数据库表。

CREATE TABLE interface_info (
    api_id          varchar(64)  NOT NULL COMMENT 'ID',
    api_method      varchar(12)  NOT NULL COMMENT 'HttpMethod:GET、PUT、POST',
    api_path        varchar(512) NOT NULL COMMENT '拦截路径',
    api_status      varchar(4)   NOT NULL COMMENT '状态:-1-删除, 0-草稿,1-发布,2-有变更,3-禁用',
    api_comment     varchar(255) NOT NULL COMMENT '注释',
    api_type        varchar(24)  NOT NULL COMMENT '脚本类型:SQL、DataQL',
    api_script      mediumtext   NOT NULL COMMENT '查询脚本:xxxxxxx',
    api_schema      mediumtext   NOT NULL COMMENT '接口的请求/响应数据结构',
    api_sample      mediumtext   NOT NULL COMMENT '请求/响应/请求头样本数据',
    api_option      mediumtext   NOT NULL COMMENT '扩展配置信息',
    api_create_time varchar(32)  NOT NULL COMMENT '创建时间',
    api_gmt_time    varchar(32)  NOT NULL COMMENT '修改时间',
    PRIMARY KEY (api_id),
    UNIQUE KEY uk_interface_info (api_path)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='Dataway 中的API';

CREATE TABLE interface_release (
  pub_id           varchar(64)  NOT NULL COMMENT 'Publish ID',
  pub_api_id       varchar(64)  NOT NULL COMMENT '所属API ID',
  pub_method       varchar(12)  NOT NULL COMMENT 'HttpMethod:GET、PUT、POST',
  pub_path         varchar(512) NOT NULL COMMENT '拦截路径',
  pub_status       varchar(4)   NOT NULL COMMENT '状态:-1-删除, 0-草稿,1-发布,2-有变更,3-禁用',
  pub_comment      varchar(255) NOT NULL COMMENT '注释',
  pub_type         varchar(24)  NOT NULL COMMENT '脚本类型:SQL、DataQL',
  pub_script       mediumtext   NOT NULL COMMENT '查询脚本:xxxxxxx',
  pub_script_ori   mediumtext   NOT NULL COMMENT '原始查询脚本,仅当类型为SQL时不同',
  pub_schema       mediumtext   NOT NULL COMMENT '接口的请求/响应数据结构',
  pub_sample       mediumtext   NOT NULL COMMENT '请求/响应/请求头样本数据',
  pub_option       mediumtext   NOT NULL COMMENT '扩展配置信息',
  pub_release_time varchar(32)  NOT NULL COMMENT '发布时间(下线不更新)',
  PRIMARY KEY (pub_id),
  KEY idx_interface_release_api  (pub_api_id),
  KEY idx_interface_release_path (pub_path)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='Dataway API 发布历史。'

  最后一步,将 Spring 使用的数据源导入到 Hasor 环境共 Dataway 使用。

@DimModule
@Component
public class ExampleModule implements SpringModule {
    @Autowired
    private DataSource dataSource = null;

    @Override
    public void loadModule(ApiBinder apiBinder) throws Throwable {
        // .DataSource form Spring boot into Hasor
        apiBinder.installModule(new JdbcModule(Level.Full, this.dataSource));
        // .custom DataQL
        //apiBinder.tryCast(QueryApiBinder.class).loadUdfSource(apiBinder.findClass(DimUdfSource.class));
        //apiBinder.tryCast(QueryApiBinder.class).bindFragment("sql", SqlFragment.class);
    }
}

使用UI配置接口

  启动工程,访问 http://127.0.0.1:8080/interface-ui/ 就可以看到下面页面了。

avatar

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发布接口需要先进行冒烟测试,冒烟通过之后就可以点亮发布按钮。接口只有在发布之后才能在 Api List 页面中调用,前端才可以正常访问。

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简介

DataQL(Data Query Language)DataQL 是一种查询语言。旨在通过提供直观、灵活的语法来描述客户端应用程序的数据需求和交互。 展开 收起
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