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README
Apache-2.0

ETL数据抽取平台介绍

代码是基于springcloud+springbatch实现的ETL数据抽取功能,任务调度采用xxl-job框架。前端采用layui,本人是一名java工程师,前端展示非本项目重点,只能勉强凑合用。借助springbatch批处理框架,可以实现常用数据源的规则化数据抽取。该框架的实现是基于HOS(源数据)->ODS(贴源数据)->DW(数据仓库)->DW(数据集市)的四大步实现的。xxl-job的任务调度,搭配springbatch的批处理框架,一套完美的ETL框架就出来了,优势是逻辑、流程可以自己写代码实现,借助框架本身的分布式特性,既能强化性能,又不失个性化。

hos->ods的过程基本就是单表的转移过程,过程中可以实现表自动创建 ods->dw的过程是将业务数据转换为维度模型数据的过程。需要完善的维度数据管理、校验、提醒。

一、技术点介绍

一期

  • 1.springcloud+springbatch搭建抽取的整体框架
  • 2.xxl-job实现任务调度
  • 3.layui 前端
  • 4.基于数据库的动态数据源切换
  • 5.暂时mysql方便本地部署,后期测试oracle、sqlserver、postgreysql 二期
  • 1.完善元数据管理
  • 2.加入对greenplum等分布式数据库的支持
  • 3.更完善的多线程运行机制
  • 4.实现数据地图更方便的查询数据

二、代码介绍

输入图片说明

三、服务启动

四、功能介绍

ETL涵盖内容包括核心的ETL数据处理、元数据管理、数据地图、数据仓库四大块。一期主要实现核心的ETL数据处理。内容包括五大块:基础数据、权限管理、抽取任务配置、任务调度、元数据管理五大块。

  • 1)基础数据
  • 1.1 基础字典 --后端已完成
  • 1.2 基础字典项 --后端已完成
  • 1.3 数据源管理 --已完成
  • 1.4 数据库字段类型对照 --已完成,作用用于同化不同数据源字段,用于抽取过程自动建表
  • 2)权限管理 --已完成
  • 3)抽取任务配置
  • 3.1 任务定义 --已完成
  • 3.2 任务配置 --已完成
  • 3.4 指标抽取配置 --尚未开始
  • 4)任务调度 --尚未开始,采用xxl-job框架
  • 4.1 调度管理 --已完成
  • 4.2 任务队列 --进行中
  • 4.3 运行日志 --已完成
  • 5)元数据管理 --尚未开始元数据只涉及数据仓库与数据集市的管理
  • 5.1 字段管理 --尚未开始
  • 5.2 表管理 --尚未开始
  • 6)实例job
  • 6.1 simpleJob 实现了基本的读取,写入 --进行中
  • 6.2 odsToDwJobBean 实现了垃圾数据清洗、维度校验等功能 --进行中

五、问题咨询

开发是基于业余时间的开发,进度可能没有大家期望的快。更多内容敬请期待。有问题可以添加QQ2684231871咨询,也可留言。

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简介

代码是基于springcloud+springbatch实现的ETL数据抽取功能,任务调度采用xxl-job框架。前端采用bootstrap,本人是一名java工程师,前端展示非本项目重点,只能勉强凑合用。 展开 收起
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