)? 0:1);}}6.2 Configuring Run ParametersRun as--Open run Dialog ... Select the WordCount program to configure the run parameters in arguments:/MAPREDUCE/WORDCOUNT/INPUT/MAPREDUCE/WORDCOUNT/OUTPUT/1Represents the input directory and output directory under HDFs, where there are several text files in the input directory, and the output directory must not exist.6.3 R
1. Start Hadoop
Go to the root permission and go to the Hadoop installation directory $ HADOOP_HOME.
Run Bin/start-all.sh
View hadoop processes in Jps
2. Start eclipse
Go to the eclipse installation directory and run eclipse with the root permission
./Eclipse background run for other operations.
3. Install Hadoop plug
The source code for the example is included in the release package for Hadoop, and the main function of the Wordcount.java class is as follows: Java code public static void Main (string[] args) throws Exception {int res = Toolrunner.run (new Configuration (), New WordCount (), args); System.exit (RES); } }
public static void Main (string[] args) throws Exception {
int res = Toolrunner.run (new Configur
=/home/hadoop/hadoop-2.5.1/tmpexport HADOOP_SECURE_DN_PID _dir=/home/hadoop/hadoop-2.5.1/tmp 2.6.yarn-site.xml file 2. TheHadoopAdding environment Variables sudo vim/etc/profile Add the following two lines to export Hadoop_home=/home/hadoop/
Hadoop-2.6.0 pseudo distribution run WordCount
Hadoop-2.6.0 pseudo distribution run WordCount
1. Start Hadoop:
2. Create a file folder:
This is created on the local hard disk:
View the created file:
Go to the directory and create two txt files:
The result is as follo
Build a Hadoop cluster environment or stand-alone environment, and run the MapReduce process to get up1. Assume that the following environment variables have been configuredExport java_home=/usr/java/defaultexport PATH= $JAVA _home/bin: $PATHexport Hadoop_classpath = $JAVA _home/lib/tools.jar2. Create 2 test files and upload them to Hadoop HDFs[email protected] Onetemp]$ cat File01hello World Bye world[[ema
address and port configured in the mapred-site.xml, core-site.xml, as shown below:
5. Create a project
File --> New --> Other --> Map/Reduce Project. The Project name can be used as WordCount_root.
Copy the hadoop installation directory/src/example/org/apache/hadoop/examples/WordCount. java to WordCount, and change
, enter http://localhost:50030/(MapReduce page) in the browser http://localhost:50070 (HDFs page)(There was a bit of a problem when I installed SSH.) So the last time you start the thread, there are errors, but still can come out page = =!)14. Finally, it is important to note that before shutting down, be sure to pay attention to stop-all.sh, or open the virtual machine. Or.. Anyway, I was 10,000, just the beast.(Sometimes the browser does not open the HDFs interface after booting.) Be able to r
1. Create a test directory
[Root @ localhost hadoop-1.1.1] # bin/hadoop DFS-mkdir/hadoop/Input
2. Create a test file
[Root @ localhost test]#VI test.txtHello hadoophello worldhello javahey Mani am a programmer
3. Put the test file in the test directory.
[Root @ localhost hadoop-1.1.1]#Bin/
Namenode have been turned on4. View the Web UIEnter http://localhost:50070 in the browser to see the relevant information, as follows: At this point, the Hadoop environment has been built. Let's start with Hadoop to run a wordcount example.Eight, run WordCount Demo1. Create a new file locally, the author in the HOM
First, a brief introduction of the next blogger's configuration environment
MAC 10.10.0
Hadoop 2.6
JDK 1.6 (can be queried in the shell using jdk-version)
Hadoop installationIt is recommended to use the brew under the MAC for installation, the reason is to use brew installation, it will automatically help you configure the appropriate path. Of course, you can download it on the officia
Novice Programmers know the meaning of Hello World, and when you first print Hello worlds from the console, it means that you are already moving into the world of programming, which is a little bit like the first person who eats crabs, although this is not a good metaphor.If you learn to use Hello World as a means of stepping into a single-machine programming portal, then learning to use wordcount in a distributed environment means that you are steppi
In fact, this example is in the book, I just take it to understand the study. WordCount is the hello in Hadoop, world, which is the most I can hear. Below is the source code of Wordcount.java Package Org.apache.hadoop.examples;import Java.io.ioexception;import Java.util.stringtokenizer;import Org.apache.hadoop.conf.configuration;import Org.apache.hadoop.fs.path;import org.apache.hadoop.io.IntWritable; Impor
Recently in the study of cloud computing, research HADDOP Framework, spent a full day to run Hadoop under Linux fully up, see the official Map-reduce Demo program WordCount, carefully studied, counted as a primer.In fact, WordCount is not difficult, but all of a sudden exposure to a lot of APIs, some strange, there is a very traditional development compared to ma
Execute Hadoop WordCount in Eclipse
Preliminary work
My Eclipse is installed in Windows. To connect to Hadoop through Eclipse, you need to keep the access address of the virtual machine in the same domain as the access address of the local machine, the previous article introduced how to change the address of a virtual machine. To change the IP address of a window
At first I was on the Win7 64-bit remote connection to Hadoop to run the WordCount program, but this always required the network, considering this situation, I decided to transfer this environment to UnbuntuSomething to prepare.A Hadoop jar package, a plug-in that connects to eclipse (which is in the unpacked Jar), a hadoop
Win7 install Hadoop's Eclipse plug-in under 64-bit and write run WordCount programEnvironment:Win7 64-bithadoop-2.6.0Steps:1. Download Hadoop-eclipse-plugin-2.6.0.jar Package2. Put the Hadoop-eclipse-plugin-2.6.0.jar in the plugins directory under the Eclipse installation directory3. Open Eclipse Discovery to the left more than one DFS Locations650) this.width=65
Step 4: configure the hadoop pseudo distribution mode and run the wordcount example
The pseudo-distribution mode mainly involves the following configuration information:
Modify the hadoop core configuration file core-site.xml, mainly to configure the HDFS address and port number;
Modify the HDFS configuration file hdfs-site.xml in
Write WordCount and hadoopwordcount in Hadoop
This article is published on my blog.
I have talked about Hadoop environment setup and HDFS operations several times before. continue today. There is an example of WordCount in Hadoop source code, but today we will implement a be
create output directory, or execution will error,), if HDFs already has, Linux can use command hadoop fs-rmr/output Delete)In select Wordcount.java, right-click Run as---run configurations, open arguments to fill in the input out path (note: There are spaces between the input and output paths), Here I set the number of Word occurrences for all files under query input.Right-click Wordcount.java,run as-àrun on Hado
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