hadoop mapreduce example

Input data is as follows: separated by \ t 0-3 years old parenting encyclopedia book-5 V Liquid Level Sensor 50-5 bearings 20-6 months milk powder-6 months C2C Report-6 months online shopping rankings-6 months milk powder market prospects-6 months formula milk powder 230.001g E tianping 50.01t aluminum furnace 20.01 tons of melting Aluminum Alloy Furnace 20.03 tons of magnesium furnace 250.03 tons of Induction Cooker 11Here, the left side is the search term and the right side is the category, w

Mapreduce Mapreduce is a programming model for data processing. The model is simple, yet not too simple to express useful programs in. hadoop can run mapreduce programs writtenIn various versions; In this chapter, we shall look at the same program expressed in Java, Ruby, Python, and C ++. most important,

The Hadoop project that I did before was based on the 0.20.2 version, looked up the data and learned that it was the original Map/reduce model.Official Note:1.1.x-current stable version, 1.1 release1.2.x-current beta version, 1.2 release2.x.x-current Alpha version0.23.x-simmilar to 2.x.x but missing NN HA.0.22.x-does not include security0.20.203.x-old Legacy Stable Version0.20.x-old Legacy VersionDescription0.20/0.22/1.1/CDH3 Series, original Map/redu

Original: http://xiaoxia.org/2011/12/18/map-reduce-program-of-rmm-word-count-on-hadoop/Running a MapReduce program based on RMM Chinese word segmentation algorithm on Hadoop 23 repliesI know the title of this article is very "academic", very vulgar, people seem to be a very cow B or a very loaded paper! In fact, it is just an ordinary experiment report, and this

Org.apache.hadoop.io.longwritable;import Org.apache.hadoop.io.text;import Org.apache.hadoop.io.writable;import Org.apache.hadoop.mapreduce.job;import Org.apache.hadoop.mapreduce.mapper;import Org.apache.hadoop.mapreduce.reducer;import Org.apache.hadoop.mapreduce.lib.input.fileinputformat;import Org.apache.hadoop.mapreduce.lib.input.textinputformat;import Org.apache.hadoop.mapreduce.lib.output.fileoutputformat;import Org.apache.hadoop.mapreduce.lib.output.textoutputformat;import Org.apache.hadoo

From: http://caibinbupt.iteye.com/blog/336467 Everyone is familiar with file systems. Before analyzing HDFS, we didn't spend a lot of time introducing the background of HDFS. After all, you still have some understanding of file systems, there are also good documents. Before analyzing hadoop mapreduce, we should first understand how the system works, and then enter our Analysis Section. The following figure

I. Purpose It mainly tests the relationship between the rate of distributed computing in the hadoop cluster and the data size and the number of computing nodes. II. Environment Hardware: inspur nf5220. System: centos 6.1 The master node allocates 4 CPU and 13 Gb memory on the master machine centos. The remaining three slave nodes are on the KVM virtual machine of the master machine, and the system is centos6.1. Hardware configuration: Memory 1 GB, 4

What is a complete mapreduce job process? I believe that beginners who are new to hadoop and who are new to mapreduce have a lot of troubles. The figure below is from idea. ToThe wordcount in hadoop is used as an example (the startup line is shown below ):

Introduction The Hadoop mapreduce job has a unique code architecture that has a specific template and structure. Such a framework can cause some problems with test-driven development and unit testing. This article is a real example of the use of Mrunit,mockito and Powermock. I'll introduce Using Mrunit to write JUnit tests for

Using Hadoop Mapreduce for data processing1. OverviewUse HDP (download: http://zh.hortonworks.com/products/releases/hdp-2-3/#install) to build the environment for distributed data processing.The project file is downloaded and the project folder is seen after extracting the file. The program will read four text files in the Cloudmr/internal_use/tmp/dataset/titles directory, each line of text in the file is

Label: des style io ar OS java for spMapReduceMapReduce is a programming model for data processing. The model is simple, yet not too simple to express useful programs in. Hadoop can run MapReduce programs writtenIn various versions; in this chapter, we shall look at the same program expressed in Java, Ruby, Python, and C ++. most important, MapReduce programs are

Hadoop mapreduce custom grouping RawComparator and hadoopmapreduce This article is published on my blog. Next, I wrote the article "Hadoop mapreduce custom sorting WritableComparable" last time. In order of this, I should explain how to implement the custom grouping. I will not talk about the operation sequence here, f

WRITABLECOMPARABLClasses of e can be compared to each other. All classes that are used as key should implement this interface. * Reporter can be used to report the running progress of the entire application, which is not used in this example. * */public static class Map extends Mapreducebase implements Mapper (1) The process of map-reduce mainly involves the following four parts: client-side: For submitting Map-reduce Task Job Jobtracker

MapReduce implements a simple word counting function.One, get ready: Eclipse installs the Hadoop plugin:Download the relevant version of Hadoop-eclipse-plugin-2.2.0.jar to Eclipse/plugins.Second, realize:New MapReduce ProjectMap is used for word segmentation, reduce count. PackageTank.demo;Importjava.io.IOException;Imp

I. Overview of the MapReduce MapReduce, referred to as Mr, distributed computing framework, Hadoop core components. Distributed computing framework There are storm, spark, and so on, and they are not the ones who replace who, but which one is more appropriate. MapReduce is an off-line computing framework, Storm is a st

This article is published in my blog . today to continue to write exercises, the last time a little understanding of the partition, that according to that step partition, sorting, grouping, the statute, today should be to write a sort of example, that good now start! When it comes to sorting, we can look at the wordcount example in the Hadoop source code for th

database you are using (Note: If database does not exist, a will be created, and MongoDB will delete the database if it exits without any action) Db.auth (Username,password) Username for username, password for password login to the database you want to use Db.getcollectionnames () See what tables are in the current database Db. [Collectionname].insert ({...}) Add a document record to the specified database Db. [Collectionname].findone () finds the first piece of data in a document Db. [Colle

MapReduce program Local Debug/Hadoop operations local file system Empty the configuration file under Conf in the Hadoop home directory. Running the Hadoop command at this point uses the local file system, which allows you to run the MapReduce program locally and manipula

-generated Method StubString[] arg={"Hdfs://hadoop:9000/user/root/input/cite75_99.txt", "Hdfs://hadoop:9000/user/root/output"};int res = Toolrunner.run (new Configuration (), New MyJob1 (), ARG);System.exit (RES);} public int run (string[] args) throws Exception {TODO auto-generated Method StubConfiguration conf = getconf ();jobconf job = new jobconf (conf, myjob1.class);Path in = new Path (args[0]);Path ou

The example Terasort in Hadoop is an example of sorting using Mapredue. This article references and simplifies this example: The basic idea of sequencing is to take advantage of the automatic sequencing of MapReduce, in Hadoop, fr