Install Hadoop fully distributed (Ubuntu12.10) and Hadoop Ubuntu12.10 in Linux
Hadoop installation is very simple. You can download the latest versions from the official website. It is best to use the stable version. In this example, three machine clusters are installed. The hadoop version is as follows:Tools/Raw Mater
Hadoop is mainly deployed and applied in the Linux environment, but the current public's self-knowledge capabilities are limited, and the work environment cannot be completely transferred to the Linux environment (of course, there is a little bit of selfishness, it's really a bit difficult to use so many easy-to-use programs in Windows in Linux-for example, quickplay, O (always _ success) O ~), So I tried to use eclipse to remotely connect to
We all know that an address has a number of companies, this case will be two types of input files: address classes (addresses) and company class (companies) to do a one-to-many association query, get address name (for example: Beijing) and company name (for example: Beijing JD, Beijing Associated information for Red Star).Development environmentHardware environment: Centos 6.5 server 4 (one for master node, three for slave node)Software Environment: Java 1.7.0_45,
1. Introduction to Hadoop versionConfiguration files that were previously in the 0.20.2 version (without this version) are in Default.xml.The 0.20.x version does not contain the Eclipse plug-in jar package, because the eclipse version is different, so you need to compile the source code to generate the corresponding plug-in.The 0.20.2--0.22.x version of the configuration file is centralized in conf/core-site.xml, conf/hdfs-site.xml , and conf/mapred-s
01_note_hadoop introduction of source and system; Hadoop cluster; CDH FamilyUnzip Tar Package Installation JDK and environment variable configurationTAR-XZVF jdkxxx.tar.gz to/usr/app/(custom app to store the app after installation)Java-version View current system Java version and environmentRpm-qa | grep Java View installation packages and dependenciesYum-y remove xxxx (remove grep out of each package)Configure the environment variable/etc/profile, an
Some Hadoop facts that programmers must know and the Hadoop facts of programmers
The programmer must know some Hadoop facts. Now, no one knows about Apache Hadoop. Doug Cutting, a Yahoo search engineer, developed this open-source software to create a distributed computer environment ......
1:
Opening : Hadoop is a powerful parallel software development framework that allows tasks to be processed in parallel on a distributed cluster to improve execution efficiency. However, it also has some shortcomings, such as coding, debugging Hadoop program is difficult, such shortcomings directly lead to the entry threshold for developers, the development is difficult. As a result, HADOP developers have deve
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
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
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/
The previous several are mainly Sparkrdd related foundation, also used Textfile to operate the document of this machine. In practical applications, there are few opportunities to manipulate common documents, and more often than not, to manipulate Kafka streams and files on Hadoop.
Let's build a Hadoop environment on this machine. 1 Installation configuration Hadoop
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
performance and features. I am interested in the ease of use and operation. I will not optimize the performance of a single software.
When processing each dataset, there will be some corrupt records. For each record, we need to check whether there are errors and identify the types of errors, including missing fields and incorrect N-element sizes. In the latter case, we must know the file name of the record to determine the N-element size. All code can be obtained from GitHub.Hadoop Streaming
requires a Kerberos cluster, and deploying Kerberos requires the deployment of a KDC. Due to the use of FreeIPA for host authentication-related permissions control in our environment, the Kerberos service has been integrated, so no additional deployment is required.Kerberos-related operations, such as adding users, services, and exporting keytab, can be done through the IPA-related interfaces.The choice of ContainerIt can be seen that the user-initiated task is performed within a specific conta
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
. In contrast, Python performs their own serialization/deserialization in an opaque manner, which consumes more resources. And, if the Hadoop software already exists, streaming can run without having to configure additional software on it. Not to mention the ability to pass UNIX commands or Java class names called Mappers/reducers.
The disadvantage of streaming is that it has to be done manually. The user m
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