cloudera hdfs

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 DFS-ls/ Modify the

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-ls/ Modify the owner of the HDFs filesudo bin/

Need to prepare 2 filesApache-tomcat-5.5.25.zip (recommended to use TOMCAT6)Hdfs-webdav.war Unzip Tomcat# Unzip Apache-tomcat-5.5.25.zip Copy War to WebApps# CD apache-tomcat-5.5.25# Cp/soft/hdfs-webdav.war./webapps Start Tomcat to start deployment and unzip# CD Bin# chmod 777 Startup.sh#./startup.sh # CD./hdfs-webdav/linux_mount_lib # TAR-XZVF Neon-0.28.3.tar.gz

Package Main.java;Import java.io.*;Import java.util.LinkedList;Import java.util.List;Import java.util.zip.*;Import org.apache.commons.compress.archivers.ArchiveException;Import Org.apache.commons.compress.archivers.ArchiveInputStream;Import Org.apache.commons.compress.archivers.ArchiveStreamFactory;Import Org.apache.commons.compress.archivers.tar.TarArchiveEntry;Import java.io.IOException;Import Java.net.URI;Import Org.apache.commons.compress.compressors.gzip.GzipCompressorInputStream;Import org

Import Java.net.URI; Import org.apache.hadoop.conf.Configuration; Import Org.apache.hadoop.fs.FileSystem; Import Org.apache.hadoop.fs.Path; public class Hdfsrename {public static void Main (string[] args) throws Exception { Configuration conf = New Configuration (); FileSystem HDFs = filesystem.get (conf); FileSystem HDFs = Filesystem.get (Uri.create ("

Step1: Increased dependency pom.xml ... --Dependency>groupId>Org.apache.hadoopgroupId>Artifactid> Hadoop-commonArtifactid>version>2.2.0version>Exclusions>exclusion>Artifactid>Jdk.toolsArtifactid>groupId>Jdk.toolsgroupId>exclusion>Exclusions>Dependency>Dependency>groupId>Org.apache.hadoopgroupId>Artifactid> Hadoop-HDFs Artifactid>version>2.2.0version>Dependency>Step2: Copy config file ' hdfs-site.xml ' and '

Using Anaconda to install Python HDFs package Python-hdfs 2.1.0 PackageFrom HDFs Import *Import timeClient = Client ("http://192.168.56.101:50070")ll = client.list ('/home/test ', status=true)For I in LL: table_name = i[0] #表名 table_attr = i[1] #表的属性 #修改时间1528353247347, 13 bits to milliseconds, need to be converted to a timestamp of 10 bits to seconds (f

SQOOP is an open-source tool mainly used for data transmission between Hadoop and traditional databases. The following is an excerpt from the SQOOP user manual. Sqoopis a tool designed to transfer data between Hadoop and relational databases. you can use Sqoop to import data from a relational database management system (RDBMS) such as MySQL or Oracle into the Hadoop Distributed File System (HDFS), transform the data in Hadoop MapReduce, and then expor

Not much to say, directly on the code.CodePackage zhouls.bigdata.myWholeHadoop.HDFS.hdfs7;Import java.io.IOException;Import Java.net.URI;Import java.net.URISyntaxException;Import org.apache.hadoop.conf.Configuration;Import Org.apache.hadoop.fs.FSDataInputStream;Import Org.apache.hadoop.fs.FSDataOutputStream;Import Org.apache.hadoop.fs.FileStatus;Import Org.apache.hadoop.fs.FileSystem;Import Org.apache.hadoop.fs.FileUtil;Import Org.apache.hadoop.fs.Path;Import Org.apache.hadoop.fs.PathFilter;Impo

The term Federation was the first company to use the DB2 federal database. First generation Hadoop HDFS: The structure consists of a namenode and multiple datanode. The functions are divided into namespace and block storage service. HDFS Federation involves multiple namenode (or namespace ). Here we have the concept of block pool. Each namespace has a pool. datanodes stores all the pools in the cluste

," owner ":" HDFs "," group ":" Hadoop "," Permission ":" 1777 "," Accesstime ": 0," modificationtime ": 1423122488037," BlockSize ": 0," Replication ": 0},{" Pathsuffix ":" User "," type ":" DIRECTORY "," Length ": 0," owner ":" HDFs "," group ":" Hadoop "," permission ":" 755 "," Accesstime ": 0," Modificationtime ": 1423529997937, "BlockSize": 0, "Replication": 0},{"Pathsuffix": "var", "type": "DIRECTORY

Requirements are as follows:Generate an approximately 100-byte text file on your local filesystem, write a program (which can take advantage of the Java API or C API), read the file, and write its 第101-120 byte content to HDFs as a new file.ImportJava.io.File;ImportJava.io.FileOutputStream;Importjava.io.IOException;ImportJava.io.OutputStream; Public classShengchen { Public Static voidMain (string[] args)throwsIOException {//TODO auto-generated Method