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azkaban-1 icon azkaban-1

Azkaban是一个在LinkedIn开发用来跑Hadoop作业的一款批处理作业调度框架,Azkaban通过作业的依赖关系解决了作业顺序和提供了更加方便的Web用户界面来维持和跟踪你的作业,根据Azkaban官网官方文档翻译而来。Azkaban是由LinkedIn实现的为了解决hadoop作业依赖问题一个批处理调度平台。如果需要我们的作业按照顺序执行,从作业中ETL(抽取extract、转换transform、加载load)数据来分析产品,那么Azkaban将是一个很好的选择。 随着hadoop用户数量的增长,从最初的单个服务器的解决方案,Azkaban已经演变成更加健壮的解决方案。

canal icon canal

阿里巴巴mysql数据库binlog的增量订阅&消费组件 。阿里云DRDS( https://www.aliyun.com/product/drds )、阿里巴巴TDDL 二级索引、小表复制powerd by canal.

cdzmanager icon cdzmanager

通用后台权限管理项目(SpringMVC + MyBatis + shiro + Maven + druid + redis + beanstalkd + bootstrap ace)

datax icon datax

DataX 是阿里巴巴集团内被广泛使用的离线数据同步工具/平台,实现包括 MySQL、Oracle、HDFS、Hive、OceanBase、HBase、OTS、ODPS 等各种异构数据源之间高效的数据同步功能。

e icon e

此框架采用前后台分开,前后台都可以单独部署,前端采用轻量级的扁平化设计(html+javascript+Bootstrap),后端采用Spring boot,系统权限框架采用Shiro,实现前后台权限校验。 持久层采用JPA ,并实现类ibatis的查询功能;数据响应该采用json格式。服务采用REST形式,能够方便的与手机app进行对接,集成swagger能够在线查看RESTAPI 文档和在线测试服务接口 支持单点登录,可以多系统进行菜单集成,形成一个portal。支持高并发和水平扩展,支持Session的统一存储。项目采用gradle构建,能够方便的将各项目进行按需组装。

examples icon examples

Example code on running Confluent Platform

goshop icon goshop

分布式多店铺电商系统,使用技术:spring 、springmvc、mybatis、maven、html5、jquery、freemarker、Redis(缓存服务器)、Solr(搜索引擎)、Dubbo(调用系统服务)、Nginx(web服务器)、FastDFS(文件服务器)、Shiro(权限框架)、Zookeeper(分布式应用程序协调服务)

gradle icon gradle

A powerful build system for the JVM

hue icon hue

Hue is an open source Analytics Workbench for browsing, querying and visualizing data.

inception icon inception

一个集审核、执行、备份及生成回滚语句于一身的MySQL自动化运维工具

mybatis-generator icon mybatis-generator

auto generate select by id,index,unique,count and update,delete,insert dao and xml

outline-client icon outline-client

Outline clients, developed by Jigsaw. The Outline clients use the popular Shadowsocks protocol, and lean on the Cordova and Electron frameworks to support Windows, Android / ChromeOS, Linux, iOS and macOS.

phphbaseadmin icon phphbaseadmin

phphbaseadmin is a hbase admin web tool,it developed using thrift interface、php CodeIgniter framework .

redislive icon redislive

Visualize your redis instances, analyze query patterns and spikes.

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