hadoop wordcount

Follow the tutorial here: http://www.imooc.com/learn/391 The last step in WordCount has been prompted with the following error:ExceptioninchThread"Main"Java.lang.ClassNotFoundException:WordCount at java.net.urlclassloader$1. Run (URLClassLoader.java:366) at java.net.urlclassloader$1. Run (URLClassLoader.java:355) at java.security.AccessController.doPrivileged (Native Method) at Java.net.URLClassLoader.findClass (Urlclasslo Ader.java:354) at Java.lang.

View code 1 Package Org. Apache. hadoop. examples; 2 3 Import Java. Io. file; 4 Import Java. Io. fileinputstream; 5 Import Java. Io. fileoutputstream; 6 Import Java. Io. ioexception; 7 Import Java.net. url; 8 Import Java.net. urlclassloader; 9 Import Java. util. arraylist; 10 Import Java. util. List; 11 Import Java. util. Jar. jarentry; 12 Import Java. util. Jar. jaroutputstream; 13 Import

tab, enter the content as follows, here I cut two graphs Other settings Verifying the Hadoop map/reduce locations configurationUnder the Project Explorer view of Map/reduce, click the map/reduce locations that you configured under DFS, and the configuration is fine if each node is expandableTest the WordCount ProgramAdd the input directory to the HDFs file systemHadoop Fs-mkdir InputRefresh Dfs lo

1. Classic WordCound Program (WordCount. java)[Java] view plaincopyprint?Import java. io. IOException;Import java. util. ArrayList;Import java. util. Iterator;Import java. util. List;Import java. util. StringTokenizer;Import org. apache. hadoop. conf. Configuration;Import org. apache. hadoop. conf. Configured;Import org. apache.

Getting started with Hadoop WordCount Program This article mainly introduces the working principle of MapReduce and explains the WordCount program in detail. 1. MapReduce Working Principle In the book Hadoop in action, we have a good description of the MapReduce computing model. Here we reference it directly:" In

Run Hadoop WordCount. jar in Linux. Run Hadoop WordCount in Linux Enter the shortcut key of Ubuntu terminal: ctrl + Alt + t Hadoop launch command: start-all.sh The normal execution results are as follows: Hadoop @

WordCount code in Hadoop-loading Hadoop configuration files directlyIn MyEclipse, write the WordCount code directly, calling the Core-site.xml,hdfs-site.xml,mapred-site.xml configuration file directly in the codePackagecom.apache.hadoop.function;importjava.io.ioexception;importjava.util.iterator;import java.util.String

Document directory 1. If the wordcount program does not contain layers, there is no package 2. If the wordcount program contains layers 3. Compile the wordcount. Java program 4. The wordcount. Java program cannot be compiled. Reference 1: http://www.cnblogs.com/flying5/archive/2011/05/04/2078408.html Note the f

System: Ubuntu14.04Hadoop version: 2.7.2Learn to run the first Hadoop program by referencing share in http://www.cnblogs.com/taichu/p/5264185.html.Create the input folder under the installation folder/usr/local/hadoop of Hadoop[Email protected]:/usr/local/hadoop$ mkdir./inputThen copy several documents into the input f

It took an entire afternoon (more than six hours) to sort out the summary, which is also a deep understanding of this aspect. You can look back later. After installing Hadoop, run a WourdCount program to test whether Hadoop is successfully installed. Create a folder using commands on the terminal, write a line to each of the two files, and then run the Hadoop, Wo

Implement WordCount with Python on HadoopA simple explanationIn this example, we use Python to write a simple MapReduce program that runs on Hadoop, wordcount (reading text files and counting the word frequency of words). Here we will enter the word text input.txt and Python script into the/home/data/python/wordcount

Source: http://blog.chinaunix.net/u3/105376/showart_2329753.html Although it is very convenient to develop a hadoop program using eclipse, the command line method is very convenient for the development and verification of small programs. This is a beginner's note for hadoop and is recorded for future reference. 1. Classic wordcound Program (wordcount. Java), seeH

Objective:Two years of graduation, the previous work has not been exposed to big data things, to Hadoop and other unfamiliar, so recently began to learn. For the first time I learned people, the process is full of doubts and puzzled, but I take the strategy is to let the environment run, and then on the basis of the use of more thinking about why.Through these three weeks (basically the Saturday Sunday, other hours of overtime ah T) exploration, I am

0 Spark development environment is created according to the following blog:http://blog.csdn.net/w13770269691/article/details/15505507 http://blog.csdn.net/qianlong4526888/article/details/21441131 1 Create a Scala development environment in Eclipse (Juno version at least) Just install scala:help->install new Software->add Url:http://download.scala-ide.org/sdk/e38/scala29/stable/site Refer to:http://dongxicheng.org/framework-on-yarn/spark-eclipse-ide/ 2 write

=/usr/java/jdk1.8.0 export hadoop_pid_dir=/home/hadoop/hadoop-2.5.1/tmp export HADOOP_ Secure_dn_pid_dir=/home/hadoop/hadoop-2.5.1/tmp 2.6.yarn-site.xml File 2. Adding Hadoop to environment variables sudo vim/etc/profile joins the following two lines of export hado

Reference 1:http://www.cnblogs.com/flying5/archive/2011/05/04/2078408.html The following points need to be explained. 1. If the WordCount program does not contain layers, that is, there is no package Then use the following command: Hadoop jar Wordcount.jar wordcount2/home/hadoop/input/20418.txt/home/hadoop/output/word

BenCodeFunction: Get the datanode name and write it to the file in the HDFS file system.HDFS: // copyoftest. C. And count filesHDFS: // wordcount count in copyoftest. C,Unlike hadoop's examples, which reads files from the local file system. Package Com. fora; Import Java. Io. ioexception; Import Java. util. stringtokenizer; Import Org. Apache. hadoop. conf. configuration; Import Org. Apache.

The core design of the Hadoop framework is: HDFs and MapReduce.　　HDFS provides storage for massive amounts of data, and MapReduce provides calculations for massive amounts of data.　　HDFs is an open source implementation of the Google File System (GFS), and MapReduce is an open source implementation of Google MapReduce. The HDFs and MapReduce implementations are completely decoupled, not without HDFS, which can not be a mapreduce operation.　　This artic

In the previous article, how to build a Hadoop environment is described in detail. Today, we will introduce how to run WordCount, the first instance in the Hadoop environment. Run the WordCount example provided by hadoop in pseudo-distribution mode to feel the following MapR

First, steamingMap tasks:#!/bin/Bashawk 'begin{FS ="[ ,. ]"OFS="\ t"}{ for(i =1; I i) {dict[$i]+=1}}end{ for(Keyinchdict) {print Key,dict[key]}}'Reducer tasks:#!/bin/bashawk'begin{' \ t'} { dict[$ 1] + = $2}end{ for in dict) { Print Key,dict[key] }}'Startup script:#!/bin/Bashhadoop FS-RM-r/data/apps/zhangwenchao/mapreduce/streaming/wordcount/Outputhadoop Jar/data/tools/