hadoop cluster tutorial

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

First of all, to ask, what is CDH?To install a Hadoop cluster that deploys 100 or even 1000 servers, package I including hive,hbase,flume ... Components, a day to build the complete, there is to consider the system after the update asked questions, then need to CDH Advantages of the CDH version:Clear Version DivisionFaster version updateSupport for Kerberos security authenticationDocument Clarity (Official

This article assumes that users have a basic understanding of Docker, Master Linux basic commands, and understand the general installation and simple configuration of Hadoop.Lab Environment: windows10+vmware WorkStation 11+linux.14.04 server+docker 1.7 windows 10 as the physical machine operating system, the network segment is: 10.41.0.0/24, the virtual machine uses the NAT network, the subnet is the 192.168.92.0/ 24, the gateway is 192.168.92.2,linux 14.04 for the virtual system, as a host for

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, distributed large data storage and computing, free open source! Linux based on the students to install a relatively smooth, write a few configuration files can be started, I rookie, so write a more detailed. For convenience, I use three virtual machine system is Ubuntu-12. Setting up a virtual machine's network connection uses bridging, which facilitates debugging on a local area network. Single machine and

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

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