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Hadoop learning 2: hadoop Learning

{ Configuration configuration = new Configuration(); configuration.set("fs.defaultFS", "hdfs://zpfbuaa:9000/"); fs = FileSystem.get(configuration); } /* * upload files */ @Test public void upload() throws IOException{ init(); Path dstPath = new Path("hdfs://zpfbuaa:9000/aa/my.jar"); FSDataOutputStream os = fs.create(dstPath); FileInputStream is = new FileInputStream("/home/

Apache Hadoop yarn:moving beyond MapReduce and Batch processing with Apache Hadoop 2

-height:0; Border-style:solid dashed dashed; Position:absolute; top:8px; right:10px; border-width:5px; Border-left-color:transparent; Border-right-color:transparent; Border-bottom-color:transparent "> copy address Edit is already the first articleNext: Soft testing soul Core test ...ebook Downloads | Public |Original: Read the micro-cottage notesSignature file Edit Signature fileMore information: http://www.ctdisk.com/u/945813 qq:4687306

[Hadoop Series] Installation of Hadoop-2. Pseudo distribution Mode

Inkfish original, do not reprint commercial nature, reproduced please indicate the source (http://blog.csdn.net/inkfish). Hadoop is an open source cloud computing platform project under the Apache Foundation. Currently the latest version is Hadoop 0.20.1. The following is a blueprint for Hadoop 0.20.1, which describes how to install

[Read hadoop source code] [4]-org. Apache. hadoop. Io. Compress Series 2-select the decoder

combine multiple files into one ZIP file. Each file is compressed separately, and all files are stored at the end of the ZIP file. This attribute indicates that the ZIP file supports splitting at the file boundary. Each part contains one or more files in the zip compressed file. Hadoop CompressionAlgorithmAdvantages and disadvantages When considering how to compress data that will be processed by mapreduce, it is important to consider whether the

Hadoop Learning Summary (2)--hadoop Introduction

1. Introduction to HadoopHadoop is an open-source distributed computing platform under the Apache Software Foundation, which provides users with a transparent distributed architecture of the underlying details of the system, and through Hadoop, it is possible to organize a large number of inexpensive machine computing resources to solve the problem of massive data processing that cannot be solved by a single machine.

"Hadoop Distributed Deployment Four: Configure the primary node (NN and RM) in Hadoop 2.x to SSH without password logins from the node"

effect, and you'll find the file has been copied.          On the second machine.Go to the. SSH directory to delete the previously generated Id_rsa otherwise the problem is using the command RM-RF./id_rsa*            The above deletion may still cause problems, the best solution is to remove all, and then re-copy the public key from node oneUse the command in the. SSH directory: RM-RF./*            Switch to node one up, re-copy the public key to node two              Then node three should als

Hadoop practice 2 ~ Hadoop Job Scheduling (1)

to clear jobs that have been completed for a long time and still exist in the queue. The jobinitthread thread is used to initialize a job, which is described in the previous section. The taskcommitqueue thread is used to schedule all the processes related to the filesystem operation of a task and record the status of the task. 2.4.2 tasktracker services and threads Tasktracker is also one of the most important classes in the mapreduce framework. It runs on each datanode node and is used to sche

Hadoop 2.X: Distributed Installation

to be run One at at time. In the second step Theadduserwill also ask the login password Forhduser: sudo addgroup hadoopsudo adduser--ingroup hadoop hdusersudo adduser hduser sudo Repeat This procedure, up to this point, on every node you has in the cluster We now log in as the Newhduseron one node and we'll create SSH keys to access the other servers: sudo su-hduser From now on , in the rest of the This guide, all commands'll be run as Thehduser. Ssh

Hadoop practice 4 ~ Hadoop Job Scheduling (2)

This article will go on to the wordcount example in the previous article to abstract the simplest process and explore how the System Scheduling works in the mapreduce operation process. Scenario 1: Separate data from operations Wordcount is the hadoop helloworld program. It counts the number of times each word appears. The process is as follows: Now I will describe this process in text. 1. The client submits a job and sends mapreduce programs and dat

"Hadoop" 4, Hadoop installation Cloudera Manager (2)

.el6.noarch.rpm/download/# Createrepo.When installing Createrepo here is unsuccessful, we put the front in Yum.repo. Delete something to restoreUseyum-y Installcreaterepo Installation TestFailedAnd then we're on the DVD. It says three copies of the installed files to the virtual machine.Install deltarpm-3.5-0.5.20090913git.el6.x86_64.rpm FirstError:Download the appropriate rpmhttp://pkgs.org/centos-7/centos-x86_64/zlib-1.2.7-13.el7.i686.rpm/

Hadoop sequencefile using Hadoop 2 Apis

;Importorg.apache.hadoop.io.Writable;Importorg.apache.hadoop.util.ReflectionUtils; Public classSequencefileoperator {PrivateConfiguration conf =NewConfiguration (); /*private FileSystem FS; {try {fs = Filesystem.get (Uri.create ("hdfs://cldx-1336-1202:9000"), conf); } catch (IOException e) {//TODO auto-generated catch block E.printstacktrace (); } }*/ Public Static voidMain (string[] args)throwsIOException {//TODO auto-generated Method Stub if(args = =NULL|| Args.leng

Hadoop Distributed System 2

directory, you must first create it. In fact, it will be automatically created, but for the purpose of introduction, we first manually create this directory. Now we can create our home directory. Shell code Someone @ anynode: hadoop $ bin/hadoop DFS-mkdir/user/someone Set/User/someoneChange/User/Yourusername . Step 2:Import a file. We can use the "put" command.

Hadoop Learning Notes (2) Hadoop framework parsing

Hadoop is a distributed storage and computing platform for Big dataArchitecture of HDFs: Master-Slave architectureThe primary node has only one namenode, and there can be many datanode from the node.Namenode is responsible for:(1) Receiving User action request(2) Maintaining the directory structure of the file system(3) Managing the relationship between the file and block, and the connection between block a

"C language" to find the root of the equation ax^2+bx+c=0, respectively, consider: 1, there are two unequal real roots 2, there are two equal real roots

To find the root of the equation ax^2+bx+c=0, consider respectively: 1, there are two unequal real roots 2, there are two equal real roots # include "C language" to find the root of the equation ax^2+bx+c=0, respectively, consider: 1, there are two unequal real roots

Experiment two-2 eclipse&hadoop do the English word frequency statistic to carry on the cluster test

, New Path (Otherargs[0])); File inputFileoutputformat.setoutputpath (Job, New Path (Otherargs[1])); File output//if (!job.waitforcompletion (TRUE))//wait for the output to completeReturnfor (int i = 0; i Fileinputformat.addinputpath (Job, New Path (Otherargs[i]));}Fileoutputformat.setoutputpath (Job,New Path (Otherargs[otherargs.length-1]);System.exit (Job.waitforcompletion (True)?

Hadoop learning notes (2) pseudo distribution mode configuration

localhost password-free authentication. First, make sure that SSH is installed and the server is running. My machine is installed by default, so I will not talk about it here. Create a new SSH key based on the empty password to enable password-less Logon: $ Ssh-keygen-t rsa-p'-f ~ /. Ssh/id_rsa $ Cat ~ /. Ssh/id_rsa.pub> ~ /. Ssh/authorized_keys Run the following command to test: $ SSH localhost I don't know if I need to restart the machine and try again here. I didn't say I want to restart the

(6) hadoop-based simple online storage application implementation 2

("========================================== ============================== "); FS. close (); return list;} public void copyfile (string local, string remote) throws ioexception {filesystem FS = filesystem. get (URI. create (hdfspath), conf); // remote ---/file or folder FS under the user/user. copyfromlocalfile (New Path (local), new path (remote); system. out. println ("copy from:" + local + "to" + Remote); FS. close () ;}// delete a file or folder public void RMR (string folder) throws ioexc

In-depth hadoop Research: (2) Access HDFS through Java

. FS. filestatus; import Org. apache. hadoop. FS. filesystem; import Org. apache. hadoop. FS. path; import Java. io. ioexception; import java.net. uri;/*** created with intellij idea. * User: lastsweetop * Date: 13-6-2 * Time: * to change this template use file | Settings | file templates. */public class showfilestatus {public static void main (string [] ARGs) th

Hadoop fully distributed configuration (2 nodes)

Hadoop fully Distributed configurationRequired Documents: jdk-8u65-linux-x64.tar.gz hadoop-2.6.0.tar.gz Node type IP Address Host Name Namenode 192.168.29.6 Master Namenode/senddarynamenode/resourcemanager/jps DataNode 192.168.29.7 Slave1 Datenode/nodemanager/jps DataNode 192.168.29.8 Slave2 Datenode/nodemanag

One, Hadoop 2.x distributed installation Deployment

bigdata-senior.ibeifeng.com$ssh-copy-id bigdata-senior02.ibeifeng.com3) Shh Link$ssh bigdata-senior.ibeifeng.com$ssh hadoop-senior02.ibeifeng.com1.8 Cluster Time synchronizationCluster time synchronization1.8.1 find a machine as a time server, all machines synchronize time with this time serverFor example, on the 01 machine:1) Check to see if the time server is installed:sudo rmp -qa|grep ntp2) View time server run statussudo3) Turn on the time serve

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