This paper mainly describes the principle of HDFs-architecture, replica mechanism, HDFS load balancing, rack awareness, robustness, file deletion and recovery mechanism
1: Detailed analysis of current HDFS architecture
HDFS Architecture
1, Namenode
2, Datanode
3, Sencondary Namenode
Data storage Details
Namenode dire
Catalogue
What is HDFs?
Advantages and disadvantages of HDFs
The framework of HDFs
HDFs Read and write process
HDFs command
HDFs parameters
1. What is HDFsThe
Recently, a Hadoop cluster was installed, so the HA,CDH4 that configured HDFS supported the quorum-based storage and shared storage using NFS two HA scenarios, while CDH5 only supported the first scenario, the Qjm ha scenario.
About the installation deployment process for Hadoop clusters You can refer to the process of installing CDH Hadoop clusters using Yum or manually installing Hadoop clusters. Cluster Planning
I have installed a total of three no
Hadoop Introduction: a distributed system infrastructure developed by the Apache Foundation. You can develop distributed programs without understanding the details of the distributed underlying layer. Make full use of the power of clusters for high-speed computing and storage. Hadoop implements a Distributed File System (HadoopDistributed File System), HDFS for short. HDFS features high fault tolerance and
A Profile
Hadoop Distributed File system, referred to as HDFs. is part of the Apache Hadoop core project. Suitable for Distributed file systems running on common hardware. The so-called universal hardware is a relatively inexpensive machine. There are generally no special requirements. HDFS provides high-throughput data access and is ideal for applications on large-scale datasets. And
Common HDFS file operation commands and precautions
The HDFS file system provides a considerable number of shell operation commands, which greatly facilitates programmers and system administrators to view and modify files on HDFS. Furthermore, HDFS commands have the same name and format as Unix/Linux commands, and thus
: such as millisecond, low latency and high throughput;Not suitable for small file access: Consumes Namenode large amount of memory; Seek time exceeds read time;Concurrent write, File random modification: A file can only have one writer; only support appendIv. HDFs ArchitectureMaster Master(only one): can be used to manage HDFs namespaces, manage block mapping information, configure replica policies, handle
The Hadoop Distributed File System (HDFS) is designed to be suitable for distributed file systems running on common hardware (commodity hardware). It has a lot in common with existing Distributed file systems. But at the same time, the difference between it and other distributed file systems is obvious. HDFs is a highly fault-tolerant system that is suitable for deployment on inexpensive machines.
Transferred from: http://www.cnblogs.com/tgzhu/p/5788634.htmlWhen configuring an HBase cluster to hook HDFs to another mirror disk, there are a number of confusing places to study again, combined with previous data; The three cornerstones of big Data's bottom-up technology originated in three papers by Google in 2006, GFS, Map-reduce, and Bigtable, in which GFS, Map-reduce technology directly supported the birth of the Apache Hadoop project, BigTable
Original link: http://blog.itpub.net/30089851/viewspace-2136429/1. Log in to the NN machine, go to the Namenode Configuration folder of the latest serial number, view the log4j configuration of the current NN[Email protected] ~]# cd/var/run/cloudera-scm-agent/process/[Email protected] process]# LS-LRT.....................Drwxr-x--x 3 HDFs HDFs 380 Mar 20:40 372-hdfs
HA-Federation-HDFS + Yarn cluster deployment mode
After an afternoon's attempt, I finally set up the cluster, and it didn't feel much necessary to complete the setup. So I should study it and lay the foundation for building the real environment.
The following is a cluster deployment of Ha-Federation-hdfs + Yarn.
First, let's talk about my Configuration:
The four nodes are started respectively:
1. bkjia117:
(1) Distributed File systemAs the amount of data is increasing and the scope of an operating system is not enough, it is allocated to more operating system-managed disks, but it is not easy to manage and maintain, so a system is urgently needed to manage files on multiple machines, which is distributed file management system. It is a file system that allows files to be shared across multiple hosts over a network, allowing multiple users on multiple machines to share files and storage space.And i
HDFS is designed to follow the file operation commands in Linux, so you are familiar with Linux file commands. In addition, the concept of pwd is not available in HadoopDFS, and all require full paths. (This document is based on version 2.5CDH5.2.1) to list command lists, formats, and help, and to select a namenode for non-parameter file configuration. Hdfsdfs-
HDFS is designed to follow the file operation
Chapter Sixth HDFS Overview6.1.2 HDFs ArchitectureHDFs uses a master-slave structure, NameNode (file System Manager, responsible for namespace, cluster configuration, data block replication),DataNode (the basic unit of file storage, which saves the data checksum information of the file contents and data blocks, performs the underlying block IO operation),Client (and name node, data node communication, acces
The previous article has completed the installation of SQOOP2, this article describes sqoop2 to import data from Oracle HDFs has been imported from HDFs Oracle
The use of Sqoop is mainly divided into the following parts
Connect Server Search Connectors Create link Create job Execute job View job run information
Before using SQOOP2, you need to make the following modifications to the Hadoop configuration f
ObjectiveIn one of my previous articles, I had already talked about the HDFs EC aspect (article link Hadoop 3.0 Erasure Coding Erasure code function pre-analysis), so this article is a supplement to its content. In the previous article, the main point of this paper is to explain the HDFS from the macro level. The role of the EC and the corresponding usage scenarios do not go deep into the internal related a
IntroductionThe Hadoop Distributed File System (HDFS) is designed to be suitable for distributed file systems running on common hardware (commodity hardware). It has a lot in common with existing Distributed file systems. But at the same time, the difference between it and other distributed file systems is obvious. HDFs is a highly fault-tolerant system that is suitable for deployment on inexpensive machine
] ] [-text [-IGNORECRC] ...] [-touchz ...] [-truncate [-W] ...] [-usage [cmd ...] Generic Options supported are-conf Specify an application configuration file-D forgiven property-fs Specify a Namenode-JT Specify a ResourceManager-files specify comma separated files to being copied to the map reduce cluster-libjars inchThe classpath.-archives Specify comma separated archives to being unarchived on the compute machines. The General Command line syntax Isbin/hadoop command [genericoptions] [com
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