hadoop ranger

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

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

9 install hadoop Tar-zvxf hadoop-1.1.2.tar.gz Music hadoop-1.1.2/usr/lib/hadoop Run gedit/etc/profile to add and modify it: Export java_home =/usr/lib/JVM Export hadoop_home =/usr/lib/hadoop/ Export Path =.: $ java_home/bin: $ hadoop_home/bin: $ path Source/etc/profile 10 co

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

Once Hadoop is installed, you will often be prompted with a warning: WARN util. nativecodeloader:unable to load Native-hadoop library for your platform ... Using Builtin-java classes where applicableSearched a lot of articles, all say is related to the system bit number, I use CentOS 6.5 64-bit operating system. The first two days in the Docker image to find a step to solve the problem, the pro tried

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/

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

1,hadoop Fs–fs [local | 2,hadoop fs–ls 3,hadoop FS–LSR 4,hadoop Fs–du 5,hadoop Fs–dus 6,hadoop fs–mv 7,hadoop FS–CP 8,hadoop fs–rm [-