hadoop cluster configuration best practices

The production environment of Hadoop cluster installation and configuration + DNS + NFS environment LinuxISO: CentOS-6.0-i386-bin-DVD.iso32 bit JDKversion: 1.6.0 _ 25-eaforlinuxHad .. The production environment of Hadoop cluster installation and

PriviledgedActionException as:man (auth:SIMPLE) cause:java.io.IOException: Cannot initialize Cluster. Please check your configuration for mapreduce.framework.name and the correspond server addresses.2014-09-24 12:57:41,567 ERROR [RunService.java:206] - [thread-id:17 thread-name:Thread-6] threadId:17,Excpetion:java.io.IOException: Cannot initialize Cluster. Please

installer will provide you with a separate dialog box for each disk, and it cannot read a valid partition table. Click the Ignore All button, or the Reinitialize All button, to apply the same answer to all devices.2.8 Setting host name and networkThe installer prompts you to provide and the domain name for this computer's hostname format, setting the hostname and domain name. Many networks have DHCP (Dynamic Host Configuration Protocol) services that

When installing the hadoop cluster today, all nodes are configured and the following commands are executed. Hadoop @ name-node :~ /Hadoop $ bin/hadoop FS-ls The Name node reports the following error: 11/04/02 17:16:12 Info Security. groups: group mapping impl = org. Apa

Resolution of SSH password-less login configuration error in Hadoop cluster setup some netizens said that firewall should be disabled before ssh is configured. I did it, but it should be okay to close it. Run the sudoufwdisable command to disable the firewall. then enter www.2cto. comssh-keygen on the terminal and parse the SSH password-less logon

Setting up the Environment: jdk1.6,ssh Password-free communication System: CentOS 6.3 Cluster configuration: Namenode and ResourceManager on a single server, three data nodes Build User: YARN Hadoop2.2 Download Address: http://www.apache.org/dyn/closer.cgi/hadoop/common/ Step One: Upload Hadoop 2.2 and unzip to/export/

Make some simple introductions to the above roles:Namenode-The entire HDFs namespace management ServiceSecondarynamenode-a redundant service that can be viewed as NamenodeJobtracker-Job Management services for parallel computingNode Services for Datanode-hdfsTasktracker-Job execution services for parallel computingManagement Services for Hbase-master-hbaseHbase-regionserver-Provide services for client-side inserts, deletes, query data, etc.Zookeeper-server-zookeeper collaboration and

the individual operations on each server, Because each of these operations can be a huge project. Installation Steps 1. Download Hadoop and JDK: http://mirror.bit.edu.cn/apache/hadoop/common/ such as: hadoop-0.22.0 2. Configure DNS resolution host name Note: In the production of Hadoop

Add HADOOP_TOKEN_FILE_LOCATION the tokens in the Credentials collection Another thread to do periodic credential updatesspawnAutoRenewalThreadForUserCreds Step 5 shows that we do not need to proactively do periodic credential updates after we have a voucher.While the Loginuserfromkeytab method uses hadoop-kerberos configuration authentication: Build LoginContext by

upload[Hadoop @ localhost ~] $ Hdfs dfs-lsFound 2 itemsDrwxr-xr-x-hadoop supergroup 0 2018-02-22 23:41 outputDrwxr-xr-x-hadoop supergroup 0 2018-02-23 22:38 upload[Hadoop @ localhost ~] $ Hdfs dfs-ls upload[Hadoop @ localhost ~] $ Hdfs dfs-put my-local.txt upload[

Wang Jialin's in-depth case-driven practice of cloud computing distributed Big Data hadoop in July 6-7 in Shanghai Wang Jialin Lecture 4HadoopGraphic and text training course: Build a true practiceHadoopDistributed Cluster EnvironmentHadoopThe specific solution steps are as follows: Step 1: QueryHadoopTo see the cause of the error; Step 2: Stop the cluster;

startchkconfig --level 234 rpcbind onchkconfig -level 234 nfs on Iii. Hadoop Namenode resourcemanager master server environment deployment 1. log on to 192.168.1.1, create a script directory, and copy the script from the git Repository yum –y install gitmkdir –p /opt/cd /opt/git clone http://git.oschina.net/snake1361222/hadoop_scripts.git/etc/init.d/iptables stop 2. Modify the hostname sh /opt/hadoop_scripts/deploy/AddHostname.sh 3. modi

Original posts: http://www.infoq.com/cn/articles/MapReduce-Best-Practice-1 Mapruduce development is a bit more complicated for most programmers, running a wordcount (Hello Word program in Hadoop) not only to familiarize yourself with the Mapruduce model, but also to understand the Linux commands (although there are Cygwin, But it's still a hassle to run mapruduce under Windows, and to learn the skills of packaging, deploying, submitting jobs, debu

cluster configuration and managementInstalling and maintaining a Hadoop cluster involves a lot of administrative work, including software installation, device management (crontab, iptables, etc.), configuration distribution, and so on.For small

/youraccount/. ssh/id_dsa solution:Chmod 700 id_rsa Step 6: Modify the namenode configuration file Hadoop @ namenode :~ $ Cd hadoop-1.2.1/conf Hadoop @ namenode :~ /Hadoop-1.2.1/conf $ vim slaves Datanode1 Datanode2 Step 7: Server Load balancer

Directory structure: Hadoop cluster (CDH4) practices (0) preface Hadoop cluster (CDH4) Practices (1) Hadoop (HDFS) Build Hadoop

I built a Hadoop2.6 cluster with 3 CentOS virtual machines. I would like to use idea to develop a mapreduce program on Windows7 and then commit to execute on a remote Hadoop cluster. After the unremitting Google finally fixI started using Hadoop's Eclipse plug-in to execute the job and succeeded, and later discovered that MapReduce was executed locally and was no

transmit them to namenode, To reduce the pressure on namenode, namenode does not merge fsimage and edits and stores the files on the disk. Instead, it is handed over to secondary namenode. Datanode: 1. A datanode is installed on each slave node, which is responsible for actual data storage and regularly reports data information to namenode. Datanode uses a fixed block size as the basic unit to organize file content, The default block size is 64 MB (GFS is also 64 MB ). When a user uploads a fil

by bit is trustworthy.High scalability: Hadoop distributes data among available computer clusters and completes computing tasks. These cluster clusters can be easily expanded to thousands of nodes.Efficiency: Hadoop can dynamically move data between nodes and ensure the dynamic balance of each node, so the processing speed is very fast.High Fault Tolerance: