{"id":21684111,"url":"https://github.com/orvillex/bigdata","last_synced_at":"2025-03-20T11:24:44.523Z","repository":{"id":184853636,"uuid":"399999326","full_name":"OrvilleX/BigData","owner":"OrvilleX","description":"主要汇集了较新版的各类大数据组件的使用教程，包含但不限定MapReduce、HBase、Spark等相关主流技术。后续还将持续更进Flink等当前流行的实时计算框架。","archived":false,"fork":false,"pushed_at":"2023-10-06T15:09:17.000Z","size":117,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-01-25T11:43:17.148Z","etag":null,"topics":["bigdata","hbase","java","mapreduce","spark"],"latest_commit_sha":null,"homepage":"","language":"Java","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/OrvilleX.png","metadata":{"files":{"readme":"ReadMe.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2021-08-26T01:03:16.000Z","updated_at":"2023-10-17T01:53:12.000Z","dependencies_parsed_at":"2023-07-30T16:37:18.878Z","dependency_job_id":null,"html_url":"https://github.com/OrvilleX/BigData","commit_stats":null,"previous_names":["orvillex/bigdata"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OrvilleX%2FBigData","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OrvilleX%2FBigData/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OrvilleX%2FBigData/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OrvilleX%2FBigData/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/OrvilleX","download_url":"https://codeload.github.com/OrvilleX/BigData/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244602213,"owners_count":20479582,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bigdata","hbase","java","mapreduce","spark"],"created_at":"2024-11-25T16:14:36.378Z","updated_at":"2025-03-20T11:24:44.502Z","avatar_url":"https://github.com/OrvilleX.png","language":"Java","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 大数据技术学习  \n\n本教程将根据当下的主流技术与版本进行相关教程的编写，考虑到当前往上主要以老旧版本的教程居多，对于较新版的教程明显比较\n匮乏。考虑到新版诸多API存在破坏性更新，致使新人在使用新版本的SDK上进行开发学习时往往会被劝退。为此本系列将围绕新版进\n行编写并辅以实际项目代码以及博客内容。  \n\n相关技术版本选型如下：  \n* Hadoop：3.1.1  \n* HBase：2.4.0  \n* Spark：2.4.0  \n* JDK：1.8\n\n围绕本源码项目的对应的教程文档可以通过[我的知乎专栏](https://www.zhihu.com/column/c_1693727391665512448)\n\n---\n\n## 基础教程  \n\n对于HDFS相信大家都耳熟能详了，为了快速的巩固对于其中`mapreduce`的理解，用户可以结合[本教程](/docs/MapReduceBasic.md)\n进行学习，其中相关源码均在`mapreducedemo`文件夹下。  \n\n## HBase教程  \n\n本教程需要集合实际的项目目录进行学习，本项目的主要目录组成如下（hbasedemo）。  \n\n* normaldemo：包含各类常用操作以及Phoenix使用方式  \n* mapreducedemo：包含MapReduce操作HBase的支持  \n* obsererdemo：包含协处理器相关使用方式  \n\n## Spark教程  \n\n本教程当前主要以Java为基础进行Demo编写，主要由以下几个文件组成，有关Spark的其他更\n详细的可查阅[本教程](/sparkdemo/ReadMe.md)。    \n\n* AggregateSpark：包含聚合操作\n* JavaSparkPi：基础入门  \n* JoinSpark：连接操作相关  \n* RDDWithSpark：RDD操作相关  \n* SparkWithHBase：与HBase操作相关  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Forvillex%2Fbigdata","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Forvillex%2Fbigdata","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Forvillex%2Fbigdata/lists"}