hadoop kerberos

1. What is a distributed file system?A file system that is stored across multiple computers in a management network is called a distributed file system.2. Why do I need a distributed file system?The simple reason is that when the size of a dataset exceeds the storage capacity of a single physical computer, it is necessary to partition it (partition) and store it on several separate computers.3. Distributed systems are more complex than traditional file systemsBecause the Distributed File system

1. What is a distributed file system?A file system that is stored across multiple computers in a management network is called a distributed file system.2. Why do I need a distributed file system?The simple reason is that when the size of a dataset exceeds the storage capacity of a single physical computer, it is necessary to partition it (partition) and store it on several separate computers.3. Distributed systems are more complex than traditional file systemsBecause the Distributed File system

1. Create a userAddUser HDUserTo modify HDUser user rights:sudo vim/ect/sudoers, add HDUser all= (All:all) all in the file.　　2. Install SSH and set up no password login1) sudo apt-get install Openssh-server2) Start service: SUDO/ETC/INIT.D/SSH start3) Check that the service is started correctly: Ps-e | grep ssh　　4) Set password-free login, generate private key and public keySsh-keygen-t rsa-p ""Cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys　　5) Password-free login: ssh localhost6) Exit3. Config

The first 2 blog test of Hadoop code when the use of this jar, then it is necessary to analyze the source code. It is necessary to write a wordcount before analyzing the source code as follows Package mytest; 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.map

A few days ago, I summarized the hadoop distributed cluster installation process. Building a hadoop cluster is only a difficult step in learning hadoop. More knowledge is needed later, I don't know if I can stick to it or how many difficulties will be encountered in the future. However, I think that as long as I work hard, the difficulties will always be solved.

Fedora20 installation hadoop-2.5.1, hadoop-2.5.1 First of all, I would like to thank the author lxdhdgss. His blog article directly helped me install hadoop. Below is his revised version for jdk1.8 installed on fedora20. Go to the hadoop official website to copy the link address (hadoop2.5.1 address http://mirrors.cnni

VirtualBox build Pseudo-distributed mode: Hadoop Download and configurationAs a result of personal machine slightly slag, unable to deploy Xwindow environment, direct use of the shell to operate, want to use the mouse to click the operation of the left do not send ~1.hadoop Download and decompressionhttp://mirror.bit.edu.cn/apache/hadoop/common/stable2/

there is no interference between them too much.g) The first problem to solve are hardware failure:as soon as you start using many pieces of hardware, the chance that one Would fail is fairly high.The first problem to solve is a hardware failure problem: As long as you use a multi-part integrated device, there is a very high chance that one of the parts will fail.h) The second problem is a most analysis of the tasks need to being able to combine the data in some a, and data read from one Disk ma

Compile the hadoop 2.x Hadoop-eclipse-plugin plug-in windows and use eclipsehadoopI. Introduction Without the Eclipse plug-in tool after Hadoop2.x, we cannot debug the code on Eclipse. We need to package MapReduce of the written java code into a jar and then run it on Linux, therefore, it is inconvenient for us to debug the code. Therefore, we compile an Eclipse plug-in so that we can debug it locally. Afte

Hadoop Core Project: HDFS (Hadoop Distributed File System distributed filesystem), MapReduce (Parallel computing framework)The master-slave structure of the HDFS architecture: The primary node, which has only one namenode, is responsible for receiving user action requests, maintaining the directory structure of the file system, managing the relationship between the file and the block, and the relationship b

Single-machine mode requires minimal system resources, and in this installation mode, Hadoop's Core-site.xml, Mapred-site.xml, and hdfs-site.xml configuration files are empty. By default, the official hadoop-1.2.1.tar.gz file uses the standalone installation mode by default. When the configuration file is empty, Hadoop runs completely locally, does not interact with other nodes, does not use the

Document directory Motivation Motivation Preface I have been in contact with hadoop for two years and encountered many problems, including classic namenode and jobtracker memory overflow faults, HDFS storage of small files, and task scheduling problems, there are also mapreduce performance problems. some of these problems are hadoop's own defects (short board), while others are improper. In the process of solving the problem, you sometimes need to

| Kerberos | #AUTHENTICATION_HANDLER_CLASSNAME # authentication method, default is simple, can also define class, need to configure all nodes Hadoop.http.authentication.Token.validity(Layout adjustment, actual configuration do not enter) 36000 To validate the token's effective time, configure all nodes Hadoop.http.authentication.Signature.secret(Layout adjustment, actual configuration do not enter) Defa

) The codecs used by Hadoop, Gzip and bzip2 are self-contained, Lzo need to be installed HADOOPGPL or kevinweil, comma separated, snappy also need to be installed separately Io.compression.codec.lzo.class Com.hadoop.compression.lzo.LzoCodec Compression encoder used by the Lzo Topology.script.file.name /hadoop/bin/rackaware.py Rack-Aware Scripting location

Full-text index-lucene,solr,nutch,hadoop LuceneFull-text index-lucene,solr,nutch,hadoop SOLRI was in last year, I want to lucene,solr,nutch and Hadoop a few things to give a detailed introduction, but because of the time of the relationship, I still only wrote two articles, respectively introduced the Lucene and SOLR, then did not write, but my heart is still loo

Hadoop uses Eclipse in Windows 7 to build a Hadoop Development Environment Some of the websites use Eclipse in Linux to develop Hadoop applications. However, most Java programmers are not so familiar with Linux systems. Therefore, they need to develop Hadoop programs in Windows, it summarizes how to use Eclipse in Wind

Although I have installed a Cloudera CDH cluster (see http://www.cnblogs.com/pojishou/p/6267616.html for a tutorial), I ate too much memory and the given component version is not optional. If only to study the technology, and is a single machine, the memory is small, or it is recommended to install Apache native cluster to play, production is naturally cloudera cluster, unless there is a very powerful operation.I have 3 virtual machine nodes this time. Each gave 4G, if the host memory 8G, can ma

ObjectiveTwo years of contact with Hadoop, during the period encountered a lot of problems, both classic Namenode and jobtracker memory overflow failure, also has HDFS storage small file problems, both task scheduling problems, There are also mapreduce performance issues. Some of these problems are the flaws of Hadoop itself (short board), and some are inappropriate to use.In the process of solving the prob

Environment and objectives: -System: VMWare/Ubuntu 12.04 -Hadoop version: 0.20.2 -My node configuration (Fully Distributed cluster) Master (job tracker) 192.168.221.130 H1 Slave (Task tracker/data node) 192.168.221.141 H2 Slave (Task tracker/data node) 192.168.221.142 H3 -User: Hadoop_admin -Target: Hadoop, http: // localhost: 50

Hadoop Streaming provides a toolkit for MapReduce programming that enables Mapper and Reducer based on executable commands, scripting languages, or other programming languages to take advantage of the benefits and capabilities of the Hadoop parallel computing framework, To handle big data.All right, I admit the above is a copy. The following is the original dry goodsThe first deployment of the