hadoop 50070

, the stand-alone environment configuration has been completed The following starts:./bin/hadoop Namenode–format formatted node information Bin/start-all.sh. The new version of Hadoop actually does not suggest so direct start-all, suggesting step by step, God horse Start-dfs, and then in Start-map ./bin/hadoop Dfsadmin-report http://localhost:

: $ Hadoop/bin/hdfs Namenode-format After executing the console output as shown below, see exiting with status 0 for formatting success. 2. Start NameNode and Datenode Execute the start-dfs.sh on the master machine as follows: Use the JPS command to view the Java process on master: Use the JPS command to view the Java processes on the SLAVE01 and SLAVE02 respectively: You can see that both NameNode and DataNode have started successfully.3. View

The first 2 blog test of Hadoop code when the use of this jar, then it is necessary to analyze the source code. It is necessary to write a wordcount before analyzing the source code as follows Package mytest; Import java.io.IOException; Import Java.util.StringTokenizer; Import org.apache.hadoop.conf.Configuration; Import Org.apache.hadoop.fs.Path; Import org.apache.hadoop.io.IntWritable; Import Org.apache.hadoop.io.Text; Import Org.apache.hadoop.map

. First, install hadoop on the newly added node, then modify the $ hadoop_home/CONF/master file, and add the namenode host name, then, modify the $ hadoop_home/CONF/slaves file on the namenode node, add the Host Name of the newly added node, and create an SSH connection to the newly added node without a password. Run the startup command: Start-all.sh Then you can view the newly added datanode through http: // (master node host name):

current terminal the direct Input CD command can enter your home folder)Re-enter SSH localhost and no password is needed.3. First time implementationEnter the directory for HadoopFormat a new Distributed-filesystem:$ bin/hadoop Namenode-formatStart the Hadoop daemons:$ bin/start-all.shList all processes with the JPS command to see if they are running successfullyThis will run successfully, if less one daem

vim Core-site.xml3, modify four Linux machine Core-site.xml, named four machine who is master (NameNode).4, in the master node machine named its child nodes have what: vim/usr/local/hadoop/etc/hadoop/slaves (in fact, the IP named child node)Slave1Slave2Slave35, initialize the master configuration: HDFs Namenode-format6. Start the Hadoop cluster and use JPS to vi

VirtualBox build Pseudo-distributed mode: Hadoop Download and configurationAs a result of personal machine slightly slag, unable to deploy Xwindow environment, direct use of the shell to operate, want to use the mouse to click the operation of the left do not send ~1.hadoop Download and decompressionhttp://mirror.bit.edu.cn/apache/hadoop/common/stable2/

: $ cd/usr/local/hadoop/hadoop-2.7.1/One: Format file system $ Bin/hdfs Namenode-formatTwo: Start a namenode background process and DataNode background process.$./sbin/start-dfs.shThe log files for the Hadoop background process are output to the logs file under the installation directory file.Third: Access to the site can be viewed by the corresponding Namenodena

, enter http://localhost:50030/(MapReduce page) in the browser http://localhost:50070 (HDFs page)(There was a bit of a problem when I installed SSH.) So the last time you start the thread, there are errors, but still can come out page = =!)14. Finally, it is important to note that before shutting down, be sure to pay attention to stop-all.sh, or open the virtual machine. Or.. Anyway, I was 10,000, just the beast.(Sometimes the browser does not open th

successfully formatted, and the 5th line below shows the following, exitting with status 0 is successful, and if exitting with status 1 is an error Then open the following process sbin/start-dfs.sh sbin/start-yarn.sh At this point, all of them have been installed and all services have been started. Verify http://127.0.0.1:8088 http://localhost:50070 http://127.0.0.1:19888 TipsEach time you enter a virtual machine system, you must enter the

Secondarynamenode29638 NameNode30070 ResourceManager30231 NodeManager8. Open the http://localhost:50070/explorer.html Web page to view the Hadoop directory structure, indicating successful installationIv. installation of Spark1. Unzip the spark compression packTar xvzf spark.1.6.tar.gz2. Adding environment variablesVI ~/.BASHRCscala_home=/users/ysisl/app/spark/scala-2.10.4spark_home=/users/ysisl/app/spark/

Hadoop In The Big Data era (1): hadoop Installation If you want to have a better understanding of hadoop, you must first understand how to start or stop the hadoop script. After all,Hadoop is a distributed storage and computing framework.But how to start and manage t

Compile the hadoop 2.x Hadoop-eclipse-plugin plug-in windows and use eclipsehadoopI. Introduction Without the Eclipse plug-in tool after Hadoop2.x, we cannot debug the code on Eclipse. We need to package MapReduce of the written java code into a jar and then run it on Linux, therefore, it is inconvenient for us to debug the code. Therefore, we compile an Eclipse plug-in so that we can debug it locally. Afte

Hadoop can see the corresponding Java process, view the way:#jps // View the currently running Java processThis command is not an operating system, it is located in the JDK and is designed to view the Java process8. View Hadoop through a browserEnter hadoop:50070 in the Linux browser to see Namenode, stating that t

Reprinted please indicate the source: http://blog.csdn.net/lastsweetop/article/details/9086695 The previous articles talked about single-threaded operations. To copy many files in parallel, hadoop provides a small tool, distcp. The most common usage is to copy files between two hadoop clusters, the help documentation is very detailed. I will not explain it here. There are no two clusters in the development

Full-text index-lucene,solr,nutch,hadoop LuceneFull-text index-lucene,solr,nutch,hadoop SOLRI was in last year, I want to lucene,solr,nutch and Hadoop a few things to give a detailed introduction, but because of the time of the relationship, I still only wrote two articles, respectively introduced the Lucene and SOLR, then did not write, but my heart is still loo

Hadoop Streaming provides a toolkit for MapReduce programming that enables Mapper and Reducer based on executable commands, scripting languages, or other programming languages to take advantage of the benefits and capabilities of the Hadoop parallel computing framework, To handle big data.All right, I admit the above is a copy. The following is the original dry goodsThe first deployment of the

1,hadoop Fs–fs [local | 2,hadoop fs–ls 3,hadoop FS–LSR 4,hadoop Fs–du 5,hadoop Fs–dus 6,hadoop fs–mv 7,hadoop FS–CP 8,hadoop fs–rm [-

Preface After a while of hadoop deployment and management, write down this series of blog records. To avoid repetitive deployment, I have written the deployment steps as a script. You only need to execute the script according to this article, and the entire environment is basically deployed. The deployment script I put in the Open Source China git repository (http://git.oschina.net/snake1361222/hadoop_scripts ). All the deployment in this article is b

) 3 Extract the downloaded tar.gz installation package to the/usr/hadoop directory: TAR-ZXVF hadoop-2.6.0.tar.gz/usr/hadoop 4 Enter the/usr/hadoop/etc/hadoop/to modify the hadoop-env.sh file, configure the Java environment: At the