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Hadoop 2.5.2 Source Code compilation

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

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 Learning

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    

Hadoop "Unable to load Native-hadoop library for your platform" error on CentOS

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 ++: Improves the local performance of hadoop

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?#

Introduction to the capacity scheduler of hadoop 0.23 (hadoop mapreduce next generation-capacity schedity)

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

Hadoop Learning II: Hadoop infrastructure and shell operations

, 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

[Linux] [Hadoop] runs Hadoop.

The previous installation process to be supplemented, after the installation complete Hadoop installation, began to execute the relevant commands, let Hadoop run up Use the command to start all services: [Email protected]:/usr/local/gz/hadoop-2.4. 1$./sbin/start-all. SHOf course there will be a lot of startup files under directory

Deploy Hadoop cluster service in CentOS

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

Installing the Hadoop tutorial on Windows

dialog shown, click "Next" and go to the dialog box as shown:In the dialog box shown, select Install from the Internet, and then click Next to enter the dialog box as shown:In the dialog box shown, set the installation directory of Cygwin, install for select "All Users", the Default Text File Type Select "Unix/binary", and then click "Next" to enter the dialog as shown:In the dialog box shown, set the Cygwin installation package to the directory, and then click "Next" to enter the dialog box as

Hadoop classification output

. tool;Import org. Apache. hadoop. util. toolrunner;Import net. SourceForge. pinyin4j. pinyinhelper;Import net. SourceForge. pinyin4j. format. hanyupinyincasetype;Import net. SourceForge. pinyin4j. format. hanyupinyinoutputformat;Import net. SourceForge. pinyin4j. format. ha

Hadoop practice 101: add and delete machines in a hadoop Cluster

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

Hadoop on Mac with IntelliJ IDEA-11 Hadoop version derivation

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-

[Introduction to Hadoop]-1 Ubuntu system Hadoop Introduction to MapReduce programming ideas

Ubuntu System (I use the version number is 140.4)The Ubuntu system is a desktop-based Linux operating system, and Ubuntu is built on the Debian distribution and GNOME desktop environments. The goal of Ubuntu is to provide an up-to-date, yet fairly stable, operating system that is primarily built with free software for the general user, free of charge and with community and professional support.As a Hadoop big data development test environment, it is r

Big Data Project Practice: Based on hadoop+spark+mongodb+mysql Development Hospital clinical Knowledge Base system

the medical knowledge used by the assistant clinicians, the cluster uses 2-16 node cluster according to the business scale. Using the Centos6.5 operating system, install the JAVA1.7.79 Runtime environment, scala2.11.4 language, and use the hadoop2.3,spark1.3.1 analysis framework. The MySQL Knowledge base is the repository database of the system, the analysis structure produced by the Hadoop/spark cluster is written to this database, which is processe

hadoop+spark+mongodb+mysql+c#

the medical knowledge used by the assistant clinicians, the cluster uses 2-16 node cluster according to the business scale. Using the Centos6.5 operating system, install the JAVA1.7.79 Runtime environment, scala2.11.4 language, and use the hadoop2.3,spark1.3.1 analysis framework. The MySQL Knowledge base is the repository database of the system, the analysis structure produced by the Hadoop/spark cluster is written to this database, which is processe

centOS7.0 configuration Hadoop cluster, Slave1 error: Failed on socket timeout exception:java.net.NoRouteToHostException

Datanode5184 Jps visible also has started successfully, but when Dfsadmin-report, reported the following error [Hadoop@slave1 ~]$ Hadoop Dfsadmin-reportDeprecated:use of this script to execute HDFS the command is deprecated.Instead Use the HDFs command for it. 14/09/29 10:10:58 INFO IPC. Client:retrying Connect to server:master.hadoop/192.168.86.128:9000. Already tried 0 time (s); Maxretries=45Report:no Ro

Hadoop Learning Hadoop Case Study

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 Course

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 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

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