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第一期间:hadoop入门学习第00讲:课程概述第1讲:hadoop1入门-HDFS架构第2讲:hadoop1入门-HDFS副本寄存策略第3讲:hadoop1入门-mapreduce架构第4讲:hadoop1入门-生产环境分布第5讲:hadoop1伪分布搭建(1)第6讲:hadoop1伪分布搭建(2)第7讲:Mapreduce1运行进程详解第三期间:HDFSAPI开发和RPC框架介绍第28讲:HDFS读写文件进程总结第四期间:Mapreduce开发第29讲:MapReduce-键值对改变第30讲:Mapreduce-WordCount比如演示第31讲:MapReduce-Shuffle详解第32讲:MapReduce-TOOL优化第33讲:MapReduce-自定义计数器。。。。第40讲:Mapreduce-自定义分区(2)第41讲:Mapreduce-二次排序第五期间:超大集群调优第42讲:集群时刻同步第43讲:句柄数设置第44讲:HDFS回收站配置第45讲:配额管理第46讲:Yarn资源配置第47讲:日志管理第48讲:本地库编译第49讲:压缩格式介绍第50讲:文件格式介绍第51讲:YARN调度器配置第52讲:Linux参数配置第53讲:HDFS参数配置第54讲:Mapreduce参数配置第55讲:hadoop3新功能介绍有解决不了的,来吾爱开源看看,一定会有你需要的资料或软件,教程,补丁,源码,等

(The first period: Introduction to hadoop Lesson 00: Course overview Lesson 1: Introduction to hadoop1 - HDFS architecture Lesson 2: Introduction to hadoop1 - HDFS replica hosting strategy Lesson 3: Introduction to hadoop1 - mapreduce architecture Lesson 4: Introduction to hadoop1 - Production environment distribution Lesson 5: Building a pseudo distribution of hadoop1 (1) Lesson 6: Building a pseudo distribution of hadoop1 (2) Lesson 7: Details of Mapreduce 1 Running Process Session 3: Introduction to HDFS API Development and RPC Framework Session 28: Summary of HDFS Read/Write File Process Session 4: Mapreduce Development Session 29: MapReduce Key Value Pair Changes Session 30: Mapreduce WordCount Example Demo Session 31: MapReduce Shuffle Details Session 32: MapReduce TOOL Optimization Session 33: MapReduce Custom Counters.... Lesson 40: Mapreduce - Custom Partition (2) Lesson 41: Mapreduce - the fifth period of secondary sorting: tuning a super large cluster Lesson 42: cluster time synchronization Lesson 43: setting the number of handles Lesson 44: HDFS recycle bin configuration Lesson 45: quota management Lesson 46: Yarn resource configuration Lesson 47: log management Lesson 48: local library compilation Lesson 49: compression format Lesson 50: file format Lesson 51: Yarn scheduler configuration Lesson 52: Linux parameter configuration Lesson 53: HDFS parameter configuration Lesson 54 Lecture: Mapreduce parameter configuration Lecture 55: The introduction of the new features of hadoop3 can't be solved. Come to our Open Source to see if there is any information or software you need, tutorials, patches, source code, etc)

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