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1. #COMPILING JAVA USING HADOOP FULL#
2. #COMPILING JAVA USING HADOOP CODE#
3. #COMPILING JAVA USING HADOOP DOWNLOAD#

Of course you can use any other Java IDE that supports maven or also a text editor and then the maven command! Like before you can find the result “with-dependency” jar in the target folder. To compile, right-click on the project folder, then -> -> specify as goals “clean package” ->.

#COMPILING JAVA USING HADOOP CODE#

The result fat jar will be found in the target folder with name “ maven-hadoop-java-wordcount-template-0.0.1-SNAPSHOT-jar-with-dependencies.jar“.Īlternatively, if you want to modify the code (like we are about to do now) open Eclipse and go for -> -> -> Browse for the directory of the project ->. $ cd maven-hadoop-java-wordcount-template $ git clone you want to compile it directly than you can

#COMPILING JAVA USING HADOOP DOWNLOAD#

First of all, download the maven boilerplate project from here: As usual I suggest to use Eclipse with Maven in order to create a project that can be modified, compiled and easily executed on the cluster. Import .In this article we are going to review the classic Hadoop word count example, customizing it a little bit. This one line will be the name of the candidate who received the vote.įor example, if the first vote in the polling booth 5 goes to Jaja, the booth_5.txt file would look like the one below: Your pre-planning skills have helped you in taking each vote as an electronic vote, where every vote cast in every polling booth is written into the booth's text (.txt) file as one line. As you have been planning, from the beginning, to use the computational resources of the country for this purpose, you chose Hadoop MapReduce to do the dirty job of vote counting for you. You are responsible for announcing the next president of the country.Īs the Chief Election Commissioner, you have been given the power to use any resource of the country judiciously, for the purpose of counting votes. But, just a half! The remaining half is to ensure that the vote-counting happens without any error.

Now that the polls are over, half of your worries are over.

You are the Chief Election Commissioner, the person responsible for fair conduct of the entire election process. The names of the candidates are as follows: There were five contestants for the post. Because of large population, the elections were conducted in 1000 polling booths, geographically separated, so that a citizen can vote from his nearest booth.

#COMPILING JAVA USING HADOOP FULL#

About five million Utopian Citizens participated in the elections with full enthusiasm and cast their votes to the candidate whom they think deserves the position. In the democratic country of Utopia, the General Elections (Polls) for the position of President was conducted some days ago. share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-*.jarĪ fictional use case is presented here, in order to enable you to easily understand the functionality and power of Hadoop MapReduce, without finding it overwhelming or boring. share/hadoop/mapreduce/hadoop-mapreduce-client-core-*.jarĬ. share/hadoop/common/hadoop-common-*.jarī.

Note: Extract the downloaded Hadoop tar.gz file and ensure that it contains the following files:Ī.

Download the tar.gz file of same version as the one present in the Hortonworks Sandbox. Hadoop Tar ball: Access the Hortonworks Sandbox and know the version of Hadoop used in it.