hadoop namenode

192.168.1.100 8. Format: Execute command: Hadoop namenode-format [Hadoop@baolibin ~]$ JPS 29363 JPS [Hadoop@baolibin ~]$ cd/usr/hadoop/bin [hadoop@baolibin bin]$ Hadoop

A Profile Hadoop Distributed File system, referred to as HDFs. is part of the Apache Hadoop core project. Suitable for Distributed file systems running on common hardware. The so-called universal hardware is a relatively inexpensive machine. There are generally no special requirements. HDFS provides high-throughput data access and is ideal for applications on large-scale datasets. And HDFs is a highly fault

-t dsa -P '' -f ~/.ssh/onecoder_dsa Append the public key to the key. cat ~/.ssh/onecoder_rsa.pub >> ~/.ssh/authorized_keys Enable remote access for Mac OS. System settings-share-remote Logon 4. Configure the local paths of namenode and datanode hdfsConfigure in hdfs-site.xml dfs.name.dir /Users/apple/Documents/hadoop/name/ dfs.data.dir /Users/apple/Documents

I'm using $hadoop_home/ In the Libexec directory, there are a few lines of script in the hadoop-config.sh file hadoop-config.shif " ${hadoop_conf_dir}/hadoop-env.sh " Then "${hadoop_conf_dir}/hadoop-env.sh"fiTest $hadoop_home/conf/hadoop-env.sh as normal file after passin

Concept HDFS HDFS (Hadoop distributed FileSystem) is a file system designed specifically for large-scale distributed data processing in a framework such as MapReduce. A large data set (100TB) can be stored in HDFs as a single file, and most other file systems are powerless to achieve this. Data blocks (block) The default most basic storage unit for HDFS (Hadoop distributed FileSystem) is a block of 64M da

allow Hadoop to run with no tuning steps): 1. Download and extract Hadoop to a server target directory in the cluster. 2. Configure/etc/hosts files 2.1 to verify that all servers in the cluster have hostname, and that the hostname and IP correspondence are configured in the/etc/hosts file for each server in the IP 2.2. Speed up the resolution. 3. Configure SSH password-free login 3.1 run on each s

-u Root--vault-password-file=/path/to/vault_passwd.file base.yml- I hosts.idc2--tags localrepos--limit cdh5-all 5. Upgrade HDFs related content 5.1. Get the current Activie Namenode (a CNAME that always checks and points to active Namenode is created in our DNS server on the line)# host ACTIVE-IDC2-HNNActive-idc2-hnn.heylinux.com is a alias for idc2-hnn2.heylinux.comIdc2-hnn2.heylinux.com has address 172.

keyId_rsa_pub >> Public KeyThe local public key also needs to be put inHostname and IP-free password may not be universal, both of them try to succeed Note:SCP remote Copy:scp-r/usr/jdk1.8.0 [email protected]:/usr/(-R comes with copy folder contents)Note Permission denied situation, if directly with the normal user write to the path such as/usr without write permission, will be error, the solution is to use[Email protected] Write or write to \home\user/etc/host resolves host name to IP address

Hadoop can be run in stand-alone mode or in pseudo-distributed mode, both of which are designed for users to easily learn and debug Hadoop, and to exploit the benefits of distributed Hadoop, parallel processing, and deploy Hadoop in distributed mode. Stand-alone mode refers to the way that

Tags: mapreduce distributed storage HDFS and mapreduce are the core of hadoop. The entire hadoop architecture is mainlyUnderlying support for distributed storage through HDFSAndProgram Support for distributed parallel task processing through mapreduce. I. HDFS Architecture HDFS usesMaster-slave (Master/Slave) Structure Model. An HDFS cluster is composed of one

Hadoop-2.5.2 cluster installation configuration details, hadoop configuration file details Reprinted please indicate the source: http://blog.csdn.net/tang9140/article/details/42869531 I recently learned how to install hadoop. The steps below are described in detailI. Environment I installed it in Linux. For students who want to learn on windows, they can use vir

Hadoop Foundation----Hadoop Combat (vi)-----HADOOP management Tools---Cloudera Manager---CDH introduction We have already learned about CDH in the last article, we will install CDH5.8 for the following study. CDH5.8 is now a relatively new version of Hadoop with more than hadoop2.0, and it already contains a number of

Apache HadoopApache version derived faster, I will introduce you to the processThe Apachehadoop version is divided into two generations, we call the first generation Hadoop 1.0, and the second generation Hadoop called Hadoop 2.0. The first generation of Hadoop consists of three large versions, 0.20.x,0.21.x and 0.22.x,

Brief introduction We studied in Hadoop: (i)--hdfs introduction has said, HDFs is not good at storing small files, because each file at least one block, the metadata of each blocks will occupy the Namenode node memory, if there are such a large number of small files, they will eat Namenode a large amount of memory for a node.

start HDFSStart-jobhistoryserver.shStart-mapred.sh starts mapreduce.Stop-all.sh stop HDFS and mapreduceStop-balancer.sh stops Load BalancingStop-dfs.sh stop HDFSStop-jobhistoryserver.sh stop job TracingStop-mapred.sh stops mapreduceTask-ControllerPart 2: Basic hadoop shell operationsNhadoop ShellIncluding: Namenode-format the DFS filesystem Secondarynamenode run the DFS secondary

# Set JavaenvironmentExport java_home=/usr/program/jdk1.6.0_27After editing save exit (prompt, enter: wq!). In fact, a closer look will find hadoop-env.sh file itself has java_home this line, we just need to put the previous comment # Cancel, and then modify the home address is good. As shown in the following:4.5. Configuring Core-site.xml[Email protected] conf]# VI core-site.xmlhdfs://192.168.154.129:9000/(Note:hdfs must be the IP address of your Ce

Several Problem records during Hadoop cluster deployment This chapter deploy a Hadoop Cluster Hadoop 2.5.x has been released for several months, and there are many articles on configuring similar architectures on the Internet. So here we will focus on the configuration methods of namenode and secondary

Exception Description The problem with unknown host names occurs when the HDFS is formatted and the Hadoop namenode-format command is executed, and the exception information is as follows: [Shirdrn@localhost bin]$ Hadoop namenode-format 11/06/22 07:33:31 INFO namenode. N

used if replication is not specified in create time. Modify mapred-site.xmlThe default mapred-site.xml is as follows Href = "configuration. xsl"?> To be changed to the following: Href = "configuration. xsl"?> Mapred. job. tracker 192.168.133.128: 9001 The host and port that MapReduce job tracker runs at. If "local", then jobs are run in-process as a single map and reduce task. After modifying these three file

. configure the host table [Root @ hadoop ~] # Vi/etc/hosts 127.0.0.1 localhost 192.168.13.100 namenode 192.168.13.108 datanode1 192.168.13.110 datanode2 [Root @ test ~] # Vi/etc/hosts 127.0.0.1 localhost 192.168.13.100 namenode 192.168.13.108 datanode1 [Root @ test2 ~] # Vi/etc/host 127.0.0.1 localhost 192.168.13.100 nam