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
Editor's note: HDFs and MapReduce are the two core of Hadoop, and the two core tools of hbase and hive are becoming increasingly important as hadoop grows. The author Zhang Zhen's blog "Thinking in Bigdate (eight) Big Data Hadoop core architecture hdfs+mapreduce+hbase+hive internal mechanism in detail" from the internal mechanism of the detailed analysis of HDFs,
cluster );
Each node has two dual-core GHz xeons processors;
4 SATA hard disks per node;
8 GB memory for each node (16 GB memory will be upgraded before Pb-level sorting );
1 GB Ethernet bandwidth for each node;
Each rack has 40 nodes;
Each node to the core has 8 GB Ethernet bandwidth;
The operating system is red hatenterprise Linux Server realkernel 5.1 (kernel 2.6.18 );
JDK is Sun Java JDK (1.6.0 05-b13and 1.6.0 13-b03) (32 and 64 bit ).
F
Http://devsolvd.com/questions/hadoop-unable-to-load-native-hadoop-library-for-your-platform-error-on-centos The answer depends ... I just installed Hadoop 2.6 from Tarball on 64-bit CentOS 6.6. The Hadoop install did indeed come with a prebuilt 64-bit native library. For my install, it's here: /opt/
in the Hadoop Eclipse Development Environment Building In this article, the 15th.) mentions permission-related exceptions, as follows:15/01/30 10:08:17 WARN util. nativecodeloader:unable to load Native-hadoop library for your platform ... using Builtin-java classes where applicable15/ 01/30 10:08:17 ERROR Security. Usergroupinformation:priviledgedactionexception As:zhangchao3 cause:java.io.IOException:Faile
the other hand, if the shards are fragmented too small, the total time to manage the shards and the total time to build the map task will determine the entire execution time of the job. For most jobs, a reasonable shard size tends to be the size of a block in HDFs, which is 64MB by default, but can be adjusted for the cluster (for all newly created files) or specified for each newly created file.
Hadoop runs the map task on a node that stores input d
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
Chapter One first knowledge of Hadoop
A lot of data is better than good algorithms.
First, data storage and analysis
To implement parallel reads and writes of multiple disks, you need to solve the problem:
1, hardware failure, once the use of multiple hardware, any hardware failure probability is very high, the way to avoid data loss is to do data backup.
RAID: Redundant disk array is implemented according to the principle of data backup;
Hadoop's fil
BenCodeFunction: Get the datanode name and write it to the file in the HDFS file system.HDFS: // copyoftest. C.
And count filesHDFS: // wordcount count in copyoftest. C,Unlike hadoop's examples, which reads files from the local file system.
Package Com. fora; Import Java. Io. ioexception; Import Java. util. stringtokenizer; Import Org. Apache. hadoop. conf. configuration; Import Org. Apache. hadoop
This article details how to build a Hadoop project and run it through Mvn+eclipse in the Windows development environment
Required environment
Windows7 operating System
eclipse-4.4.2
mvn-3.0.3 and build the project schema with MVN (see http://blog.csdn.net/tang9140/article/details/39157439)
hadoop-2.5.2 (directly on the Hadoop website htt
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/
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/
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
Topology.script.number.args
1000
The number of hosts that the rack-aware scr
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
A. IntroductionWithout the Eclipse plugin tool after hadoop2.x, we can't debug the code on eclipse, we're going to package the MapReduce of the written Java code into a jar and run it on Linux, so it's inconvenient for us to debug the code, so we compile an eclipse plugin ourselves, so we can easily We debug in our local, after hadoop1.x development, compiling the hadoop2.x version of the Eclipse plugin is much simpler than before. Next we started compiling the
Hadoop Elephant Tour 008- start and close Hadoop sinom Hadoop is a Distributed file system running on a Linux file system that needs to be started before it can be used. 1.Hadoop the startup command store locationreferring to the method described in the previous section, use the SecureCRTPortable.exe Login CentOS;use
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