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README
Apache-2.0

Moonbox

License

Moonbox是一个DVtaaS(Data Virtualization as a Service)平台解决方案。Moonbox基于数据虚拟化设计思想,致力于提供批量计算服务解决方案。Moonbox负责屏蔽底层数据源的物理和使用细节,为用户带来虚拟数据库般使用体验,用户只需通过统一SQL语言,即可透明实现跨异构数据系统混算和写出。此外Moonbox还提供数据服务、数据管理、数据工具、数据开发等基础支持,可支撑更加敏捷和灵活的数据应用架构和逻辑数仓实践。

Feature

  • 多租户支持

    Moonbox建立了一套完整的用户体系,引入了Organization的概念,用于划分用户空间。系统管理员ROOT账号可以创建多个Organization, 并在Organization中指定该Organization的管理者(SA),可以是一个或者多个。 SA负责创建管理普通用户。Moonbox将普通用户的能力抽象出六大属性,分别是是否可以执行Account管理语句,是否可以执行DDL语句,是否可以执行DCL语句, 是否拥有可以授权其他用户执行Account类语句的能力,是否拥有可以授权其他用户执行DDL语句的能力,是否拥有可以授权其他用户执行DCL语句的能力。通过属性的自由组合,可以构建出满足多种角色,多种需求的用户体系模型,并可借此实现多租户。

  • 跨数据源混算

    Moonbox以Spark为计算引擎,可以支持多种数据源进行混合计算,比如MySQL、Oracle、Hive、Kudu、HDFS、MongoDB,且支持自定义扩展。

  • 统一SQL

    Moonbox将查询语言统一为Spark SQL,使用Spark SQL语法进行查询操作,同时扩展了一套DDL、DCL语句。包括对用户的创建删除和授权,数据表或者数据列的访问授权,挂载卸载物理数据源或者数据表,创建删除逻辑数据库,创建删除udf/udaf,创建删除定时任务等。

  • 优化策略

    Moonbox基于Spark进行混算,Spark SQL是支持多数据源的,但是Spark SQL在从数据源中进行数据拉取的时候只进行了project和filter算子的下推,并没有考虑数据源的算力特性。Moonbox对Spark Optimizer优化后的LogicalPlan作进一步的优化,根据规则拆分出可以进行下推的子树,将子树mapping成数据源查询语言,将下推结果拉回Spark参与进一步的计算。如果LogicalPlan可以整体下推计算,那么Moonbox将不采用Spark进行计算,直接使用数据源客户端运行LogicalPlan mapping出来的查询语句,以减少启动分布式作业的开销,并节省分布式计算资源。

  • 列权限控制

    Moonbox定义了DCL语句来实现数据列级别权限控制。Moonbox管理员通过DCL语句将数据表或者数据列授权给用户,Moonbox会将用户和表以及列的权限关系保存到catalog中。当用户在使用SQL查询时会被拦截,分析出SQL被解析后的LogicalPlan中是否引用了未被授权的表或者列,如果有就报错返回给用户。

  • 多种形式的UDF/UDAF

    Moonbox除了支持以jar包的形式创建UDF/UDAF外,还支持以源代码的形式创建,包括Java语言和Scala语言,这给UDF开发验证带来了便捷性。

  • 定时任务

    Moonbox提供了定时作业的功能,用户使用DDL语句定义定时任务,以crontab表达式的形式定义调度策略,后台内嵌quartz进行任务定时调度。

For more details, see the WEBSITE.

Documentation

Please refer WEBSITE.

Latest Release

LATEST RELEASE

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License

Please refer to LICENSE file.

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Moonbox是一个DVtaaS(Data Virtualization as a Service)平台解决方案 展开 收起
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