hadoop 50070

Eof # use the following hdfs-site.xmlcat> hdfs-site.xml Dfs. replication 1 Eof # use the following mapred-site.xmlcat> mapred-site.xml Mapred. job. tracker Usd ip: 9001 Eof} # configure ssh password-free login function PassphraselessSSH () {# generate a private key without repeating it [! -F ~ /. Ssh/id_dsa] ssh-keygen-t dsa-p'-f ~ /. Ssh/id_dsa

-datanode-localhost.localdomain.out Starting secondary namenodes [0.0.0.0] Root@0.0.0.0's password: 0.0.0.0: starting secondarynamenode, logging to/opt/lib64/hadoop-2.5.1/logs/hadoop-root-secondarynamenode-localhost.localdomain.out Terminal display Sbin/start-yarn.sh Check the enabled process. Bash command terminal display [root @ localhost hadoop-2.5.1] #

follows:A, enter the Conf folder to modify the following file.Add the following to the hadoop-env.sh:Export Java_home = (JAVA installation directory)The contents of the Core-site.xml file are modified to the following:The contents of the Hdfs-site.xml file are modified to the following: (Replication default is 3, if not modified, datanode less than three will be error)The contents of the Mapred-site.xml file are modified to the following:B. Format th

dfsadmin-reportAppearLive Datanodes (2):This information indicates that the cluster was established successfullyAfter successful startup, you can access the Web interface http://192.168.1.151:50070 View NameNode and Datanode information, and you can view the files in HDFS online.Start YARN to see how tasks work through the Web interface: Http://192.168.1.151:8088/cluster command to manipulate HDFsHadoop FSThis command lists all the help interfaces fo

JPS is located at:/opt/jdk1.8.0_91/bin $ cd/opt/jdk1.8.0_91/bin $./jps Successful startup will list the following processes: "Namenode", "Datanode" and "Secondarynamenode" 5. View HDFs information through the Web interface Go to http://localhost:50070/to view if http://localhost:50070/cannot be loaded, it may be resolved in the following way: To perform namenode formatting first $./bin/hdfs Namenode-forma

/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0.jar grep input output 'dfs [a-z.] +'$ Cd output$ Cat * Words in the statistics file: $ Bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0.jar wordcount input test$ Cd test/$ Cat * 5.

Chapter 2 mapreduce IntroductionAn ideal part size is usually the size of an HDFS block. The execution node of the map task and the storage node of the input data are the same node, and the hadoop performance is optimal (Data Locality optimization, avoid data transmission over the network ). Mapreduce Process summary: reads a row of data from a file, map function processing, Return key-value pairs; the system sorts the map results. If there are multi

Environment and objectives: -System: VMWare/Ubuntu 12.04 -Hadoop version: 0.20.2 -My node configuration (Fully Distributed cluster) Master (job tracker) 192.168.221.130 H1 Slave (Task tracker/data node) 192.168.221.141 H2 Slave (Task tracker/data node) 192.168.221.142 H3 -User: Hadoop_admin -Target: Hadoop, http: // localhost: 50

warranties or CONDITIONS of any KIND, either express or implied.# see the License forThe specific language governing permissions and# limitations under the license.# Start all Hadoop daemons. Run this on master node.Echo "This script is Deprecated. Instead use start-dfs.sh and start-yarn.sh" #这里说明了这个脚本已经被弃用了, we need to start with start-dfs.sh and start-yarn.sh. bin = ' #真正执行的是以下两个, that is, the execution of start-dfs.sh and start-yarn.sh two s

hadoop directory and format the hdfs file system. This operation is required when you first run hadoop,$ Cd/usr/local/hadoop/$ Bin/hadoop namenode-format2. Start bin/start-all.shGo to the bin directory, $./start-all.sh close: Same directory./stop-all.sh3. Check whether hadoop