hadoop development tutorial

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

Hadoop is mainly deployed and applied in the Linux environment, but the current public's self-knowledge capabilities are limited, and the work environment cannot be completely transferred to the Linux environment (of course, there is a little bit of selfishness, it's really a bit difficult to use so many easy-to-use programs in Windows in Linux-for example, quickplay, O (always _ success) O ~), So I tried to use eclipse to remotely connect to

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

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

) View HDFs system[[emailprotected] ~] $ hadoop fs -ls /View the Hadoop HDFs file management system through Hadoop fs-ls/commands, as shown in the Linux file system directory. The results shown above indicate that the Hadoop standalone installation was successful. So far, we have not made any changes to the

Hadoop is a platform for storing massive amounts of data on distributed server clusters and running distributed analytics applications, with the core components of HDFS and MapReduce. HDFS is a distributed file system that can read distributed storage of data systems;MapReduce is a computational framework that distributes computing tasks based on Task Scheduler by splitting computing tasks. Hadoop is an ess

=" Wkiom1zqetnbvrfaaabomeawi4u613.png "/>At this point, the left "Project Explorer" will appear in the configured HDFs, right-click, you can create new folders, delete folders, upload files, download files and other operations.Note: If the operation is complete, no immediate display in Eclipse, right-click to refresh.At this point, compiling the Hadoop-eclipse plugin and installing to eclipse is complete! If there are flaws in the text, please correct

1. Download Hadoop source codeSource code of each Hadoop Member: Just pull it out. Note that only the contents in the trunk directory on SVN are checked-out, for example:Http://svn.apache.org/repos/asf/hadoop/common/trunk,Instead of http://svn.apache.org/repos/asf/hadoop/common,The reason is that the http://svn.apache.

("Usage:wordcount ); System.exit (2); }//Job nameJob Job =NewJob (Conf,"Word Count");//ClassJob.setjarbyclass (WordCount.class);//MapperJob.setmapperclass (Tokenizermapper.class);//CombinerJob.setcombinerclass (Intsumreducer.class);//ReducerJob.setreducerclass (Intsumreducer.class);//Output key formatJob.setoutputkeyclass (Text.class);//outout value formatJob.setoutputvalueclass (intwritable.class);//input pathFileinputformat.addinputpath (Job,NewPath (otherargs[0]));//Output pathFileoutputform