biginsights hadoop

Ubuntu installation (Here I do not catch a map, just cite a URL, I believe that everyone's ability)Ubuntu Installation Reference Tutorial: http://jingyan.baidu.com/article/14bd256e0ca52ebb6d26129c.htmlNote the following points:1, set the virtual machine's IP, click the network connection icon in the bottom right corner of the virtual machine, select "Bridge mode", so as to assign to your LAN IP, this is very important because the back Hadoop to use th

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

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

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

Pre-Preparation 1. Create a Hadoop-related directory (easy to manage) 2, give Hadoop users and all group permissions to the/opt/* directorysudo chrown-r hadoop:hadoop/opt/*3, JDK installation and configuration configuration Hdfs/yarn/mamreduce1, decompression HadoopTAR-ZXF hadoop-2.5.0.tar.gz-c/opt/modules/(delete Doc's help document, save space) rm-rf/opt/module

-p '-F/HOME/U/.SSH/ID_DSASsh-keygen indicates that the key is generated-T means the specified generated key typeDSA is the meaning of DSA key authentication, that is, the key type-P provides a passphrase-f Specifies the generated key file(4) # cat/home/u/.ssh/id_dsa.pub >>/home/u/.ssh/authorized_keys# Add the public key to the public key file for authentication, Authorized_keys is the public key file for authentication(5) # Ssh-version# Verify that SSH installation is complete and the correct in

additional openssh-clients(3) # Mkdir-p ~/.ssh # Assume that after you install SSH, these folders are not actively generated by yourself, please create your own(4) # ssh-keygen-t Dsa-p "-F ~/.SSH/ID_DSASsh-keygen indicates that the key is generated-T means the specified generated key typeDSA is the meaning of DSA key authentication, that is, the key type-P provides a passphrase-f Specifies the generated key file(5) # cat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keys# Add the public key to the pub

Knowing and learning about Hadoop, we have to understand the composition of Hadoop, and based on my own experience, I introduce the Hadoop component, the big data processing process, and the three aspects of Hadoop core: Hadoop Components 650) this.width=650;

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

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

Currently in Hadoop used more than lzo,gzip,snappy,bzip2 these 4 kinds of compression format, the author based on practical experience to introduce the advantages and disadvantages of these 4 compression formats and application scenarios, so that we in practice according to the actual situation to choose different compression format. 1 gzip compression Advantages: The compression ratio is high, and the compression/decompression speed is relatively fas

to facilitate the MapReduce direct access to the relational database (mysql,oracle). Hadoop offers two classes of Dbinputformat and Dboutputformat. Through the Dbinputformat class, the database table data is read into HDFs, and the result set generated by MapReduce is imported into the database table according to the Dboutputformat class.error when executing mapreduce: java.io.IOException:com.mysql.jdbc.Driver, usually because the program cannot find

First, compile the Hadoop pluginFirst you need to compile the Hadoop plugin: Hadoop-eclipse-plugin-2.6.0.jar Before you can install it. Third-party compilation tutorial: Https://github.com/winghc/hadoop2x-eclipse-pluginIi. placing plugins and restarting eclipsePut the compiled plugin Hadoop-eclipse-plugin-2.6.0.jar int