hadoop cluster configuration best practices

Create a catalog upload English test documents (without configuration if they are already available).Create input directory on A.dfs[email protected]: ~/data/hadoop-2.5.2$bin/hadoop fs-mkdir-p inputB. Copy the README.txt from the Hadoop directory into DFS new input[email protected]: ~/data/

Deploy Hbase in the Hadoop cluster and enable kerberos System: LXC-CentOS6.3 x86_64 Hadoop version: cdh5.0.1 (manmual installation, cloudera-manager not installed) Existing Cluster Environment: node * 6; jdk1.7.0 _ 55; zookeeper and hdfs (HA) installed), yarn, historyserver, and httpfs, and kerberos is enabled (kdc is

domain name (host name) Dirdir//m.fredlab.org:9000 file.buffer.size131072HDFs configuration file: Hdfs-site.xml dir file :/ usr/local/hadoop2/hdfs/namedir file :/usr/local/hadoop2/hdfs/data 134217728 10 2 Yarn-site.xmlMapred-site.xmlAdding Java paths to hadoop-env.sh and yarn-env.shEcho " Export JAVA_HOME=/USR " >> hadoop-env. SH Echo " Export JAVA_HOME=/U

VM Virtual MachinesConfiguration:NAT Network Configuration Reference: http://www.cnblogs.com/gongice/p/4337379.html install pre-Hadoop equipment (on each host): Configure sudo (optional):[[email protected] Hadoop] # chmod u+w/etc/sudoers [[email protected] Hadoop] # vi/etc/sudoersAdd a row of data:Hadoop all= (All) Nop

For maven projects, the default integration test is performed as a phase of the build cycle, which is convenient for general projects to perform integration testing, but for Hadoop (or HBase) projects are not suitable because their applications run in the Cluster Environment and the development environment may be windows rather than linux, these reasons make it inconvenient to use the mvn command in the loc

region:#hbase> major_compact ‘r1‘, ‘c1‘#Compact a single column family within a table:#hbase> major_compact ‘t1‘, ‘c1‘ Configuration Management and node restart1) Modify the HDFs configurationHDFs Configuration Location:/etc/hadoop/conf # 同步hdfs配置cat /home/hadoop/slaves

Assume that the cluster is already configured.On the development client Linux CentOS 6.5:A. The client CentOS has an access user with the same name as the cluster: Huser.B.vim/etc/hosts joins the Namenode and joins the native IP.-------------------------1. Install Hadoop cluster with the same version of JDK,

Wang Jia Lin: committed to hardware and software cloud integration, familiar with Android, HTML5, hadoop Tel: 18610086859 Email: jialingege@126.com hiheartfirst@gmail.com The reason why I had to take this course: 1,Agility: full-course in-depth practical agile developmentTDD; 2,Agility: full-course in-depth practical agile developmentBDD; 3,Continuous integrated development practices; 4,Cov

-daemon.sh start datanodeBin/hadoop-daemon.sh start tasktracker Data Synchronization will be performed after completion.Bin/start-balancer.sh-threshold 3 For new nodes:You need to reset the hostname and the hostname to the same content as the slaves configuration file.Hostname datanode-xxx (expired after restart)Modify/etc/hostname and run/etc/init. d/hostname. sh start (it will not expire after restart) Th

Address: http://blog.cloudera.com/blog/2013/04/how-to-use-vagrant-to-set-up-a-virtual-hadoop-cluster/ Vagrant is a very useful tool that can be used to program and manage multiple virtual machines (VMS) on a single physical machine ). It supports native virtualbox and provides plug-ins for VMWare Fusion and Amazon EC2 Virtual Machine clusters. Vagrant provides an easy-to-use ruby-based internal DSL that all

:array[string] = Array (HDFs users Guide, "", HDFs Users Guide, Purpose, overview, prerequisites, Web Interface, Shell Commands, Dfsadmin Command, secondary NameNode, Checkpoint node, Backup node, Import Checkpoint, Balancer, Rack Awareness , SafeMode, fsck, FETCHDT, Recovery Mode, Upgrade and Rollback, DataNode hot Swap Drive, File Permissions and Security, Sc Alability, related documentation, Purpose, "", this document was a starting point for users working with

Operation of the Java interface on the Hadoop cluster Start with a configured Hadoop cluster This is what I implemented in the test class of the project that I built in the SSM framework. One, under Windows configuration environment variable download file a

performance will be better. This is why the previous article proposed configuration, the X 1TB disk than the X 3TB disk for a better reason. The space constraints inside the blade server tend to constrain the possibility of adding more hard drives. From here, we are better able to see why Hadoop is so-called running on a standalone commercial server, and its deliberately Share architecture of nothing. Task

MastersHost616) Configuration Slaveshost62Host635. Configure host62 and host63 in the same way6. Format the Distributed File system/usr/local/hadoop/bin/hadoop-namenode format7. Running Hadoop1)/usr/local/hadoop/sbin/start-dfs.sh2)/usr/local/hadoop/sbin/start-yarn.sh8. Chec

/zookeepervalue>property>property>name>dfs.replicationname>value>1value>property> which Hbase.master is the server and port number specified to run Hmaster, Hbase.master.maxclockskew is used to prevent regionserver startup failure caused by time inconsistency between hbase nodes, and the default value is 30000;hbase.rootdir specified Storage directory for HBase Hbase.cluster.distributed set the cluster in distributed mode, Hbase.zookeeper.quor

:/home/grid/nfs_share nfs ults 0 0 Configure SSH on NFS servers and nodes Add the keys of each node to the NFS server. Ssh h1.hadoop.com cat ~ /. Ssh/id_rsa.pub> ~ /. Ssh/authorized_keys Ssh h2.hadoop.com cat ~ /. Ssh/id_rsa.pub> ~ /. Ssh/authorized_keys Ssh h3.hadoop.com cat ~ /. Ssh/id_rsa.pub> ~ /. Ssh/authorized_keys Id_rsa.pub Create a soft connection to the shared directory file authorized_keys on each node Install on each node Yum-y install nfs-utils Mkdir/nfs_share Mount-t nfs 192.168.1.

Hadoop generation cluster running code case Cluster a master, two slave,ip are 192.168.1.2, 192.168.1.3, 192.168.1.4 Hadoop version is 1.2.1 First, start Hadoop go to the bin directory of Hadoop second, the establishment of data

Hadoop cluster all datanode start unfavorable (solution), hadoopdatanode Datanode cannot be started only in the following situations. 1. First, modify the configuration file of the master, 2. Bad habits of hadoop namenode-format for multiple times. Generally, an error occurs: Java. io. IOException: Cannot lock storage/

All datanode operations in the hadoop cluster are unfavorable (solution) Datanode cannot be started only in the following situations. 1. First, modify the configuration file of the master, 2. Bad habits of hadoop namenode-format for multiple times. Generally, an error occurs: Java. io. IOException: Cannot lock storage/

file./hdfs/data--Storing data./hdfs/tmp--Storing temporary files　　　2.6 Modifying an XML configuration file　 The XML file that needs to be modified under hadoop2.9.1/etc/hadoop/There are 5 main files to modify:hadoop-env.shCore-site.xmlHdfs-site.xmlMapred-site.xmlYarn-site.xmlSlaves　　　　　2.6.1, vim hadoop-env.sh, fill in the Java installation path　　　　　　　　　　2.6.2,