Reprint Please indicate the source, thank you2017-10-22 17:14:09Before the development of the Maprduce program in Python, we tried to build the development environment before development by using Eclipse Java Development under Windows today. Here, summarize this process and hope to help friends in need. With Hadoop Eclipse plugin, you can browse the management HDFs and automatically create a template file for the Mr Program, and the best thing you can
Zhang, HaohaoSummary:Hard drives play a vital role in the server because the data is stored in the hard disk, and as the manufacturing technology improves, the type of the hard disk is changing gradually. The management of the hard disk is the responsibility of the IaaS department, but it also needs to know the relevant technology as a business operation.Some companies use LVM to manage the hard drive, this is easy to expand the capacity, but also some companies directly with bare disk to save d
The mahout algorithm has been studied recently, and the Hadoop cluster has not changed much; today suddenly wanted to stop the Hadoop cluster, but found that it couldn't stop. The./bin/stop-all.sh command always prompts for no stop job, task, Namenode, Datanode, Secondarynode. But the input JPS command, found that
| IPV6 | TYPE 10.71. 16.37 (eth0) | FD16:E204:21D5:5295:2160 |+--------+---------+--------------------+----- ------------------------------------------+------------+-----------+You can now see that only the master node is running.
Let's go into the container of Ubuntu.$ LXC EXEC master--/bin/bashIf you enter successfully, congratulations! The first step is open.
Hadoop
6 HDFS installation process1) Unpack the installation package[Email protected]:/usr/local# tar-zxvf hadoop-2.4.0.tar.gzIf you are not using root user decompression, we recommend using Chown to modify the folder properties (for example, the current user is xiaoming)[Email protected]:/usr/local# sudo chown-r xiaoming:xiaoming HadoopIf the cluster is a 64-bit operating system, you need to replace the Lib/nativ
Tip: If you're not aware of Hadoop, you can view this article on the Hadoop ecosystem, which allows us to get an overview of the usage scenarios for tools in Hadoop and Hadoop ecosystems.
To build a distributed Hadoop cluster envi
1. An overview of the establishment of the cloud platform for colleges and universities started a few days ago. The installation and configuration of the hadoop cluster test environment took about two days, I finally completed the basic outline and shared my experience with you. Ii. hardware environment 1, Windows 7 flagship edition 64-bit 2, VMWare Workstation ace version 6.0.23, RedHat Linux 54,
This article is reproduced from: http://www.csdn.net/article/2015-10-01/2825840
Absrtact: Deep learning based on Hadoop is an innovative method of deep learning. The deep learning based on Hadoop can not only achieve the effect of the dedicated cluster, but also has a unique advantage in enhancing the Hadoop
Virtual machine-based Hadoop cluster installation1. The software we needXshell, SSH secure, virtual machine, Linux centos64, Hadoop1.2.1 installation package2. Install the above software3, install Linux, there is no more elaboration4. Install the JDK firstMy path isjava_home=/usr/lib/jvm/jdk1.7.0_79Path=
PATH:
Java_home/binClasspath=
J AV AH OM E /LIb/d T.JaR:
Java_home/lib/t
Build Hadoop cluster Complete process notesOne, virtual machines and operating systemsEnvironment: ubuntu14+hadoop2.6+jdk1.8Virtual machine: Vmware12Second, installation steps:First configure the JDK and Hadoop on a single machine:1. Create a new Hadoop userWith command: AddUser Hadoop2. In order for
, either express OR implied. * See the License for the specific language governing permissions and * limitations under the License. */package Org.apache.hadoop.examples;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.mapreduce.job;import Org.apache.hadoop.mapreduce.mapper;import Org.apache.hadoop.mapreduce.reduc
How to makeProgramDistributed running in a hadoop cluster is a headache.
Someone may say that right-click "run on hadoop" in the eclipse class file. Note: by default, "run on hadoop" in Eclipse only runs on a single machine, because in order to make programs run in a distributed manner in a
Description :Hadoop Cluster management tools Datablockscanner Practical Detailed learning notesDatablockscanner a block scanner running on Datanode to periodically detect current Datanode all of the nodes on the Block to detect and fix problematic blocks in a timely manner before the client reads the problematic block. It has a list of all the blocks that are maintained, by scanning the list of blocks seq
installation candidateSSH Service operation command:
Note:
In order to implement each sub-node can use Putty Connection, the master,node1,node2,node3 are installed SSH services.
In fact, if master can log on to each child node without a password, the other child nodes (NODE1,NODE2,NODE3) must also have the SSH service installed.
Configure SSH password-free login for master machine
1) Set master SSH to automaticall
HDFs cluster, do not use the same version of Hadoop, and avoid Hadoop itself causing data errors.(iii) file system inspectionPeriodically run the HDFs tool on the entire file system to proactively find missing or damaged blocks.It is recommended to do it once a day.[Email protected] ~]$ Hadoop fsck/... Omit the output
First, IntroductionAfter writing the MapReduce task, it was always packaged and uploaded to the Hadoop cluster, then started the task through the shell command, then looked at the log log file on each node, and later to improve the development efficiency, You need to find a direct maprreduce task directly to the Hadoop cluste
1. Now the virtual machine collection
192.168.137.2 Node1192.168.137.3 Node2192.168.137.4 Node3192.168.137.5 Node4
2. Configure SSH password-free login
The following two lines are run on the node1,2,3,4:
Ssh-keygen-t Dsa-p '-F ~/.ssh/id_dsa
cat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keysAppend the Node1 id_dsa.pub to the Authorized_keys of the other node
SCP id_dsa.pub root@node2:~
cat id_dsa.pub >> ~/.ssh/authorized_keys
3. Download
troubleshooting the problem.
The standard hadoop log4j configuration uses the daily rolling file suffix Policy (daily rolling file appender) to name log files.
The system does not automatically delete expired log files. Instead, it is reserved for Regular deletion or archiving to save local disk space.2) record the standard output and standard error logs-the log file suffix is. Out
Because hadoop uses
Hadoop-2.6 cluster Installation
Basic Environment
Sshd Configuration
Directory:/root/. ssh
The configuration involves four shells.
1.Operation per machine
Ssh-keygen-t rsa
Generate an ssh key. The generated file is as follows:
Id_rsa
Id_rsa.pub
. Pub is the public key, and No. pub is the private key.
2.Operation per machine
Cp id_rsa.pub authorized_keys
Authorized_keys Error
3.Copy and distrib
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