Various tangle period Ubuntu installs countless times Hadoop various versions tried countless times tragedy then see this www.linuxidc.com/Linux/2013-01/78391.htm or tragedy, slightly modifiedFirst, install the JDK1. Download and installsudo apt-get install OPENJDK-7-JDKRequired to enter the current user password when entering the password, enter;Required input yes/no, enter Yes, carriage return, all the way down the installation completed;2. Enter ja
The compilation process is very long, the mistakes are endless, need patience and patience!! 1. Preparation of the environment and software
Operating system: Centos6.4 64-bit
JDK:JDK-7U80-LINUX-X64.RPM, do not use 1.8
Maven:apache-maven-3.3.3-bin.tar.gz
protobuf:protobuf-2.5.0.tar.gz Note: Google's products, preferably in advance Baidu prepared this document
Hadoop src:hadoop-2.5
Hadoop exception and handling Summary-01 (pony-original), hadoop-01
Test environment:
Local: MyEclipse
Cluster: Vmware 11 + 6 Centos 6.5
Hadoop version: 2.4.0 (configured as automatic HA)
Test Background:
After four normal tests of the MapReduce Program (hereinafter referred to as MapReduce), a new MR program is executed, and the console information of MyEclipse
Hadoop learning 2: hadoop LearningAfter building a pseudo-distributed system:Introduction to pseudo distributed installation: http://www.powerxing.com/install-hadoop/
Exercise 1 compile a Java program to implement the followingFunction:
1. In HDFSUpload files
2. From HDFSDownload filesTo local
3.Show file directory
4.Move files
5.Create folder
6.Remove folder
everything is OK on the Namenode node, and there is no prompt for this information, but the following message appears on Datanode:15/01/14 16:42:09 WARN util. nativecodeloader:unable to load Native-hadoop library for your platform ... using Builtin-java classes where applicableafter checking the original is Datanode sub-node /home/hadoop/hadoop2.2/lib directory does not have native folder, and Namenode abov
Hadoop ++ is a non-invasive Optimization of hadoop map reduce. It improves query and connection performance by customizing functions such as split in hadoop framework. The project is hosted by Professor Jens dittrich at the University of Saarland, Germany. The project homepage is http://infosys.uni-saarland.de/hadoop?#
Original article: http://hadoop.apache.org/common/docs/r0.23.0/hadoop-yarn/hadoop-yarn-site/CapacityScheduler.html
This document describes capacityscheduler, a pluggable hadoop scheduler that allows multiple users to securely share a large cluster, their applications can obtain the required resources within the capacity limit.
Overview
Capacityscheduler is design
, file random modification a file can have only one writer, only support append.Data form of 3.HDFSThe file is cut into a fixed-size block, the default block size is 64MB, the size of the block can be configured, if the file size is less than 64MB, it is stored separately into a block. A file storage method is divided into blocks by size, stored on different nodes, with three replicas per block by default.HDFs Data Write Process: HDFs Data Read process: 4.MapReduce: Google's MapReduce open sou
ArticleDirectory
Insecure
Secure Mode
No downtime is required for adding or deleting machines in the hadoop cluster, and the entire service is not interrupted.
Before this operation, the hadoop cluster is as follows:
HDFS machines are as follows:
The MR machine is as follows:
Add Machine
On the master machine of the cluster, modify the $ hadoop_home/CONF/slaves file and add t
The recently read material always mentions Hadoop 0.20, 0.23, and so on, causing individuals to be quite surprised by the version of Hadoop: 1.2.1 is still behind the 0.23, you are kidding me. Curiosity, a search, found a document, the following are from the document, here to make a backup.Excerpted from Dylan. Advanced applications for Hadoop Big Data Solutions-
Deploy Hadoop cluster service in CentOSGuideHadoop is a Distributed System infrastructure developed by the Apache Foundation. Hadoop implements a Distributed File System (HDFS. HDFS features high fault tolerance and is designed to be deployed on low-cost hardware. It also provides high throughput to access application data, suitable for applications with large datasets. HDFS relaxed the requirements of POSI
Tossing for two days, holding the spirit of not giving up, I finally compiled my own need for Hadoop in the Eclipse plug-inDownload on the Internet may be due to version inconsistencies, there are a variety of issues during compilation, including your Eclipse version and Hadoop version, JDK version, ant versionSo download a few, at least 19, but has not been successful, has been unable to find the package e
Inkfish original, do not reprint commercial nature, reproduced please indicate the source (http://blog.csdn.net/inkfish).
Hadoop is an open source cloud computing platform project under the Apache Foundation. Currently the latest version is Hadoop 0.20.1. The following is a blueprint for Hadoop 0.20.1, which describes how to install
command to upload data to HDFs, if the log server data is large, the pressure is higher, using NFS to upload data on another server, if the log server is very large, data volume, using flume for data processing;2.2 Write a MapReduce program to clean the data in HDFs;2.3 Using hive to statistics the data after cleaning;2.4 The statistic data is exported to MySQL via Sqoop;2.5 If you need to view detailed data, you can show through HBase;3 Detailed Overview3.1 Uploading data from Linux to HDFs us
Hadoop big data basic training course: the only full HD version of the first season, hadoop Training CourseHadoop big data basic training course unique HD full version first seasonThe full version of 30 lessons was born
Link: http://pan.baidu.com/share/link? Consumer id = 3751953208 uk = 3611155194
Password free shared edition http://pan.baidu.com/share/link? Consumer id = 1384103203 uk = 3611155194
The most comprehensive history of hadoop, hadoop
The course mainly involves the technical practices of Hadoop Sqoop, Flume, and Avro.
Target Audience
1. This course is suitable for students who have basic knowledge of java, have a certain understanding of databases and SQL statements, and are skilled in using linux systems. It is especially suitable for those who
For detailed steps, download the attachment: Install hadoop on Windows. The following are the main chapters:
1. Introduction
This example describes how to install/start hadoop in windows. In this example, the following environment passes the test:★Operating System: Windows 7 Enterprise Edition (English version)★Hadoop: 0.20.2★Java JDK: 1.6.0.10★Eclipse: Helios★
Prepare the EnvironmentDownload Htrace-core-3.0.4.jar file FirstWebsite Link:http://mvnrepository.com/artifact/org.htrace/htrace-core/3.0.4Copy to the Share/hadoop/common/lib directory in HadoopAvoid errors where you cannot find a file.Download Hadoop2x-eclipse-pluginWebsite address:Https://github.com/winghc/hadoop2x-eclipse-pluginAfter decompression, upload to the server on HadoopIn/home/hadoop/hadoop2x-ec
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