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
Part 1: core-site.xml • core-site.xml is the core attribute file of hadoop, the parameter is the core function of hadoop, independent of HDFS and mapreduce. Parameter List • FS. default. name • default value File: // • Description: sets the hostname and port of the hadoop namenode. The default value is standalone mode. If it is a pseudo-distributed file system, i
Hadoop has always been the technology I want to learn, just as the recent project team to do e-mall, I began to study Hadoop, although the final identification of Hadoop is not suitable for our project, but I will continue to study, more and more do not press.The basic Hadoop tutorial is the first
Reprinted from http://blessht.iteye.com/blog/2095675Hadoop has always been the technology I want to learn, just as the recent project team to do e-mall, I began to study Hadoop, although the final identification of Hadoop is not suitable for our project, but I will continue to study, more and more do not press.The basic Hadoop tutorial is the first
Hadoop Study Notes 0004 -- Eclipse installation Hadoop Plugins1 , download hadoop-1.2.1.tar.gz , unzip to Win7 under hadoop-1.2.1 ;2 , if hadoop-1.2.1 not in Hadoop-eclipse-plugin-1.2.1.jar package, on the internet to download d
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
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
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
The two test VMS are rehl 5.3x64. The latest JDK version is installed and SSH password-free logon is correctly set.Server 1: 192.168.56.101 dev1Server 2: 192.168.56.102 dev2Slave. Log on to dev1 and run the following command:# Cd/usr/software/hadoop# Tar zxvf hadoop-0.20.1.tar.gz# Cp-A hadoop-0.20.1/usr/hadoop# Cd/usr/
Hadoop Rack-aware1. BackgroundHadoop is designed to take into account the security and efficiency of data, data files by default in HDFs storage three copies, the storage policy is a local copy,A copy of one of the other nodes in the same rack, a node on a different rack.This way, if the local data is corrupted, the node can get the data from neighboring nodes in the same rack, the speed is certainly faster than the data from the cross-rack node;At th
EnvironmentWindows 7 x64 bit, Visual Studio ProfessionalHadoop Source Version 2.2.0Step (from the book "Pro Apache Hadoop, Second Edition" slightly modified.
Ensure that JDK, 1.6 is, or higher is installed. We assume that it's installed in thec:/myapps/jdkl6/ folder, which should has a bin subfolder.
Download the hadoop-2.2.x-src.tar.gz files (2.2.0 at the time of this writing) from the Download sect
0. PrefaceThere are three ways to run Hadoop. Local (Standalone) mode, pseudo-distributed (pseudo-distributed mode), distributed (fully-distributed mode). Behind the foot of the building local and pseudo-distributed, distributed readers to build their own.References (official website, web-based materials for the shop):Http://hadoop.apache.org/docs/r2.6.4/hadoop-project-dist/
in ~/.ssh/: Id_rsa and id_rsa.pub; These two pairs appear, similar to keys and locks.Append the id_rsa.pub to the authorization key (there is no Authorized_keys file at this moment)$ cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys(3) Verify that SSH is installed successfullyEnter SSH localhost. If the display of a native login succeeds, the installation is successful.3. Close the firewall $sudo UFW disableNote: This step is very important, if you do not close, there will be no problem finding D
As you know, Namenode has a single point of failure in the Hadoop system, which has been a weakness for high-availability Hadoop. This article discusses several solution that exist to solve this problem. 1. Secondary NameNode principle: secondary NN periodically reads the editlog from the NN, merging with the image that it stores to form a new metadata image advantage: The earlier version of
a relational database.
Apache Zookeeper: Is a distributed, open source Coordination service designed for distribution applications, which is mainly used to solve some data management problems frequently encountered in distributed applications, simplify the coordination and management of distributed applications, and provide high-performance distributed services.
Apache Mahout: A distributed framework for machine learning and data mining based on Hadoo
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
To do well, you must first sharpen your tools.
This article has built a hadoop standalone version and a pseudo-distributed development environment starting from scratch. It is illustrated in the following figures and involves:
1. Develop basic software required by hadoop;
2. Install each software;
3. Configure the hadoop standalone mode and run the wordco
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