1.hdfs-site.xml 参数配置 – dfs.name.dir – NameNode 元数据存放位置 – 默认值:使用core-site.xml中的hadoop.tmp.dir/dfs/name – dfs.block.size – 对于新文件切分的大小,单位byte.默认是64M,建议是128M.每一个节点都要指定,包括客户端. – 默认值:67108864 – dfs.data.dir – DataNode在本地磁盘存放block的位置,可以是以逗号分隔的目录列表,DataNode循

1 概述  解决hadoop启动hdfs时,datanode无法启动的问题.错误为: java.io.IOException: Incompatible clusterIDs in /home/lxh/hadoop/hdfs/data: namenode clusterID = CID-a3938a0b-57b5-458d-841c-d096e2b7a71c; datanode clusterID = CID-200e6206-98b5-44b2-9e48-262871884eeb 2 问题描述

https://hadoop.apache.org/docs/r2.7.2/hadoop-project-dist/hadoop-hdfs/HdfsDesign.html Introduction [相对于POSIX,放宽要求] The Hadoop Distributed File System (HDFS) is a distributed file system designed to run on commodity hardware. It has many similarities

Hadoop集群的配置(一) 摘要: hadoop集群配置系列文档,是笔者在实验室真机环境实验后整理而得.以便随后工作所需,做以知识整理,另则与博客园朋友分享实验成果,因为笔者在学习初期,也遇到不少问题.但是网上一些文档大多互相抄袭,里面错误百出.笔者结合自学书籍视频等资料,完成这一套配置资料.实验结果和过程经过反复测试无误后方整理出来的.配置过程中,初学者若有实验环境,可以在真机环境下完成,若无条件,可补习下虚拟机与Linux操作系统的基础知识,以及里面对linux常规命令使用,建议读者边配置

This document is a starting point for users working with Hadoop Distributed File System (HDFS) either as a part of a Hadoop cluster or as a stand-alone general purpose distributed file system. While HDFS is designed to "just work" in many enviro

HDFS Architecture HDFS Architecture(HDFS 架构) Introduction(简介) Assumptions and Goals(假设和目标) Hardware Failure(硬件失效是常态) Streaming Data Access(支持流式访问) Large Data Sets(大数据集) Simple Coherency Model(简单一致性模型) "Moving Computation is Cheaper than Moving Data&q

环境:Hadoop2.7.3 1.Benchmarking HDFS 1.1测试集群的写入 运行基准测试是检测HDFS集群是否正确安装以及表现是否符合预期的好方法.DFSIO是Hadoop自带的一个基准测试程序,可以用来分析HDFS集群的I/O能力 脚本: $HADOOP_HOME/bin/hadoop jar hadoop-mapreduce-client-jobclient-2.7.3-tests.jar TestDFSIO -write -nrFiles 10 -size 50MB nrF

HDFS Architecture Introduction The Hadoop Distributed File System (HDFS) is a distributed file system designed to run on commodity hardware. It has many similarities with existing distributed file systems. However, the differences from other distribu

HDFS Users Guide Purpose Overview Prerequisites Web Interface Shell Commands DFSAdmin Command Secondary NameNode Checkpoint Node Backup Node Import Checkpoint Rebalancer Rack Awareness Safemode fsck fetchdt Recovery Mode Upgrade and Rollback File Per

进入 $HADOOP/bin 一.文件操作 文件操作 类似于正常的linux操作前面加上“hdfs dfs -” 前缀也可以写成hadoop而不用hdfs,但终端中显示 Use of this script to execute hdfs command is deprecated.Instead use the hdfs command for it. 1.创建目录:(注意 文件夹需一级一级创建) hdfs dfs -mkdir /user hdfs dfs -mkdir /user/com

Writing Data You may want to jump right in and start throwing data into your TSD, but to really take advantage of OpenTSDB's power and flexibility, you may want to pause and think about your naming schema. After you've done that, you can procede to p

1.安装依赖包 yum install -y gcc openssh-clients 2.升级glib2.14 升级glibc-2.14用到的rpm 下载地址:https://pan.baidu.com/s/1v-Uk579TGM6498cExst6ow 开始升级glib2.14 rpm -Uvh glibc--.x86_64.rpm glibc-common--.x86_64.rpm glibc-headers--.x86_64.rpm glibc-devel--.x86_64.rpm nsc

HDFS Architecture HDFS Architecture(HDFS 架构) Introduction(简介) Assumptions and Goals(假设和目标) Hardware Failure(硬件失效是常态) Streaming Data Access(支持流式访问) Large Data Sets(大数据集) Simple Coherency Model(简单一致性模型) “Moving Computation is Cheaper than Moving Data”(

一.概述 公司使用是自己搭建的hadoop集群,版本2.7.3,最近发现出现了hdfs数据存储不均衡的现象,其中有一个datanode使用了65%,而有一个只使用了20%.hadoop集群使用的时间长了会出现这种数据不均衡的问题,当然hadoop提供了解决方案,就是使用balancer,默认进行的是datanode级别的数据均衡,但是2.X版本还不支持datanode内的磁盘之间数据均衡,hadoop在3.0以后的版本里面提供了相关的支持,参考https://hadoop.apache.org/

Linux -- 之HDFS实现自动切换HA(全新HDFS) JDK规划 1.7及以上  https://blog.csdn.net/meiLin_Ya/article/details/80650945 防火墙规划     系统防火墙关闭 SSH免密码规划 hadoop01(nn1)--> hadoop01(nn1) 需要免密码 hadoop01(nn1)--> hadoop02(nn2) 需要免密码 hadoop01(nn1)--> hadoop03(dn) 需要免密码 hadoop0

源自https://www.cnblogs.com/duanxz/p/3874009.html Namenode是整个文件系统的管理节点.它维护着整个文件系统的文件目录树,文件/目录的元信息和每个文件对应的数据块列表, 接收用户的操作请求. 文件包括: ①fsimage:元数据镜像文件.存储某一时段NameNode内存元数据信息. ②edits:操作日志文件. ③fstime:保存最近一次checkpoint的时间 以上这些文件是保存在linux的文件系统中.通过hdfs-site.xml的df

HDFS只是Hadoop最基本的一个服务,很多其他服务,都是基于HDFS展开的.所以部署一个HDFS集群,是很核心的一个动作,也是大数据平台的开始. 安装Hadoop集群,首先需要有Zookeeper才可以完成安装.如果没有Zookeeper,请先部署一套Zookeeper.另外,JDK以及物理主机的一些设置等.请参考: Hadoop集群(一) Zookeeper搭建 Hadoop集群(三) Hbase搭建 Hadoop集群(四) Hadoop升级 下面开始HDFS的安装 HDFS主机分配 1

(搭建hadoop集群的前提是服务器已成功安装jdk以及服务器之间已设置免密码登录,服务器之间的免密码登录可参考<linux服务器间ssh免密码登录>) 1.下载hadoop安装包 wget http://mirror.bit.edu.cn/apache/hadoop/common/hadoop-3.0.0/hadoop-3.0.0-src.tar.gz 2.解压安装包 tar zxvf hadoop-3.0.0-src.tar.gz 3.配置hadoop的环境变量 vi /etc/profi

『实践』VirtualBox 5.1.18+Centos 6.8+hadoop 2.7.3搭建hadoop完全分布式集群及基于HDFS的网盘实现 1.基本设定和软件版本 主机名 ip 对应角色 master 192.168.56.4 NameNode slave1 192.168.56.3 DataNode1 slave2 192.168.56.5 DataNode2 Windows主机设置的ip为192.168.56.88 hadoop压缩包解压地址:/usr/local/hadoop 虚拟机

The Hadoop Distributed File System (HDFS) is designed to store very large data sets reliably, and to stream those data sets at high bandwidth to user applications. In a large cluster, thousands of servers both host directly attached storage and execu

http://www.windowsazure.com/en-us/develop/net/fundamentals/cloud-storage/ Managing and analyzing data in the cloud is just as important as it is anywhere else. To let you do this, Windows Azure provides a range of technologies for working with relati