hdfs dfs commands

The latest stable version of hadoop2.2.0 is deployed and installed, and the fuse-dfs compilation tutorial is found on the Internet, but the final failure occurs. The cause is unknown ~~, Error Description: Transport endpoint is not connected. Hadoop1.2.1 will be installed and deployed, and the test is successful. The record is as follows: Use root to complete the following operations: 1. Install the dependency package apt-get install autoconf automak

The latest stable version of hadoop2.2.0 is deployed and installed, and the fuse-DFS compilation tutorial is found on the Internet, but the final failure occurs. The cause is unknown ~~, Error Description: transport endpoint is not connected. Hadoop1.2.1 will be installed and deployed, and the test is successful. The record is as follows: Use root to complete the following operations: 1. Install the dependency package apt-get install autoconf automak

Write more verbose, if you are eager to find the answer directly to see the bold part of the .... (PS: What is written here is all the content in the official document of the 2.5.2, the problem I encountered when I did it) When you execute a mapreduce job locally, you encounter the problem of No such file or directory, follow the steps in the official documentation: 1. Formatting Namenode Bin/hdfs Namenode-format 2. Start the Namenode and Datanod

Sudo addgroup hadoop # Add a hadoop GroupSudo usermod-a-g hadoop Larry # Add the current user to the hadoop GroupSudo gedit ETC/sudoers # Add the hadoop group to sudoerHadoop all = (all) All after root all = (all) All Modify hadoop Directory PermissionsSudo chown-r Larry: hadoop/home/Larry/hadoop Sudo chmod-r 755/home/Larry/hadoop Modify HDFS PermissionsSudo bin/hadoop DFS-chmod-r 755/Sudo bin/hadoop

Add a Hadoop group sudo addgroup Hadoop Add the current user Larry to the Hadoop groupsudo usermod-a-G Hadoop Larry Add Hadoop Group to Sudoersudo gedit etc/sudoersHadoop all= (All) after Root all= (all) Modify the permissions for the Hadoop directorysudo chown-r larry:hadoop/home/larry/hadoop Modify permissions for HDFssudo chmod-r 755/home/larry/hadoopsudo bin/hadoop dfs-chmod-r 755/sudo bin/hadoop dfs-l

HDFs Common commands:Note: The following execution commands are in the bin directory of the Spark installation directory.Path src for file path dist to folder1.-help[cmd] Show Help for commands ./hdfs Dfs-help ls 2.-ls (r) displays all files in the current directory-R layer

mediaHDFs only provides a heterogeneous storage structure, and does not know the performance of storage media;HDFS provides the user with an API to control what media the directory/file is written to;HDFS provides administrators with administrative tools to limit the available share of each media per user; The current level of completion is lowPhase 1:datanode supports heterogeneous storage media (

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,

Usage:hadoop fs [Generic options][-appendtofile [-cat [-IGNORECRC] [-checksum [-CHGRP [-R] GROUP PATH ...][-chmod [-R] [-chown [-R] [Owner][:[group]] PATH ...][-copyfromlocal [-f] [-p] [-copytolocal [-P] [-IGNORECRC] [-CRC] [-count [-Q] [-CP [-f] [-p] [-createsnapshot [-deletesnapshot [-DF [-h] [[-DU [-S] [-h] [-expunge][-get [-P] [-IGNORECRC] [-CRC] [-getfacl [-R] [-getmerge [-NL] [-help [cmd ...]][-ls [-D] [-h] [-r] [[-mkdir [-P] [-movefromlocal [-movetolocal [-mv [-put [-f] [-p] [-renamesnaps

hdfs:/-cp/test.txt/test2.txt5. Move the file MVHadoop fs-mv hdfs:/test.txt hdfs:/dir/test.txt Hadoop fs-mv/test.txt/dir/test.txt6. Delete files/directories RM 6.1 Deleting the specified file Hadoop fs-rm/a.txt 6.2 Delete all txt files /* . txt 6.3 Recursively delete all files and directories Hadoop fs-rm-r/dir/7. Read the file

under the directory, the X permission indicates that the sub-directory can be accessed from this directory. Unlike the POSIX model, HDFS does not contain sticky, setuid, and setgid. HDFS is designed to process massive data, that is, it can store a large number of files (Tb-level files) on it. After HDFS splits these files, it is stored on different datanode

From:http://www.2cto.com/database/201303/198460.htmlHadoop HDFs Common CommandsHadoop common commands:Hadoop FSView all commands supported by Hadoop HDFsHadoop fs–lslisting directory and file informationHadoop FS–LSRLoop lists directories, subdirectories, and file informationHadoop fs–put Test.txt/user/sunlightcsCopy the test.txt of the local file system to the/user/sunlightcs directory of the

, soHDFs has a high degree of fault tolerance.3. High data throughput HDFs uses a "one-time write, multiple read" This simple data consistency model, in HDFS , once a file has been created, written, closed, generally do not need to modify, such a simple consistency model, to improve throughput.4. Streaming data access HDFS has a large scale of data processing,

[cmd ...]Management commands for HDFs[Email protected] hadoop-2.7.3]$ bin/HDFs Dfsadminusage:hdfs dfsadminnote:administrative commands can only be run as the HDFs Superuser. [-report [-live] [-dead] [-Decommissioning]] [-safemode ] [-Savenamespace] [-Rolledits] [-restore

Create a table of contents Hadoop dfs-mkdir/homeUploading files or directories to HDFs Hadoop dfs-put Hello/Hadoop dfs-put hellodir//View Table of Contents Hadoop Dfs-ls/Create an empty file Hadoop Dfs-touchz/361wayDelete a fi