研 發 專 案 原 始 程 式 碼 安 裝 及 操 作 手 冊. Version 0.1
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1 102 年 度 國 科 會 雲 端 計 算 與 資 訊 安 全 技 術 研 發 專 案 原 始 程 式 碼 安 裝 及 操 作 手 冊 Version 0.1 總 計 畫 名 稱 : 行 動 雲 端 環 境 動 態 群 組 服 務 研 究 與 創 新 應 用 子 計 畫 一 : 行 動 雲 端 群 組 服 務 架 構 與 動 態 群 組 管 理 (NSC E ) 計 畫 主 持 人 : 吳 秀 陽 教 授 ( 東 華 大 學 / 資 訊 工 程 學 系 ) 原 始 碼 程 式 名 稱 : 以 MapReduce 方 法 為 基 礎 之 使 用 者 行 為 循 序 樣 式 探 勘 演 算 法 (Algorithms of Frequent User Behavior Sequential Pattern Mining Based on MapReduce ) 2014/07/30 1
2 1. Execution Environment 1.1 Hardware and Software Specifications Hardware:Intel Core i5 2.4 GHz, 8GB DDR3 Memory Operating System:Ubuntu LTS (64bit) Java SDK:1.7.0 Hadoop:1.2.1 Version, Single Node 1.2 Install Ubuntu Get a Linux host (Ubuntu LTS) : Download Installation instructions -support Frequently used Ubuntu commands and short cuts : Ctrl+Alt+T : open a terminal ls : to list the contents of a directory sudo apt-get install / remove <package> : to install / remove program packages sudo apt-get update && sudo apt-get dist-upgrade : update and upgrade the system or program packages rm <filename> : remove a file rm -R <filename> : recursively delete files in a directory Official Ubuntu Documentation Prerequisites : Install Sun Java 7 : Open a terminal and execute the following commands : $ sudo add-apt-repository ppa:webupd8team/java $ sudo apt-get update commands $ sudo apt-get : install oracle-java7-installer Install openssh : $ sudo apt-get update $ sudo apt-get install openssh-server 2
3 Creating a dedicated Hadoop system group and adding a user : $ sudo addgroup hadoop $ sudo adduser --ingroup hadoop hduser Generate an SSH key for the hduser user and add it to public key authentication : $ su - hduser $ ssh-keygen -t rsa -P $ cat $HOME/.ssh/id_rsa.pub >>HOME/.ssh/authorized_keys $ ssh localhost 1.4 Install and set up Hadoop : Download Hadoop zip / tar File (Version 1.2.1) Apache Download Mirrors : r.gz Go to Downloads directory and extract the hadoop zip file (By default, everything you download will put into your Home Downloads subdirectory.) Because you will use some commands and go to some directories which can only be accessed by a superuser, now you need to change login user to the superuser and use sudo commands.(now suppose login name of my superuser is sh ). $ su - sh $ cd home/hduser/downloads $ sudo tar xzf hadoop tar.gz $ sudo mv hadoop hadoop $ sudo chown -R hduser:hadoop hadoop $ sudo mv hadoop /usr/local 3
4 Update $HOME/.bashrc of hduser : Type the following commands to open and edit the.bashrc file $ su - hduser $ ls -a $ gedit.bashrc Edit your Home/.bashrc file as following : # Set JAVA_HOME and Set Hadoop-related environment variables export JAVA_HOME=/usr/lib/jvm/java-7-oracle export HADOOP_HOME=/usr/local/hadoop export HAMA_HOME=/usr/local/hama # Some convenient aliases and functions for running Hadoop-related # commands unalias fs &> /dev/null alias fs="hadoop fs" unalias hls &> /dev/null alias hls="fs -ls # If you have LZO compression enabled in your Hadoop cluster and compress # job outputs with LZOP lzohead () { hadoop fs -cat $1 lzop -dc head less } # Add Hadoop-related pagkages bin/ directory to PATH export PATH=$PATH:$JAVA_HOME/bin export PATH=$PATH:$HADOOP_HOME/bin 4 export PATH=$PATH:$HAMA_HOME/bin
5 Configure Hadoop : Go to conf directory of $HADOOP_HOME and use gedit to edit hadoop-env.sh file. $ cd $HADOOP_HOME/conf $ gedit hadoop-env.sh # The java implementation to use. Required. # setting JAVA_HOME environment variable export JAVA_HOME=/usr/lib/jvm/java-7-oracle # Disable IPv6 (Optional). export HADOOP_OPTS=-Djava.net.preferIPv4Stack=true Make and Configure the directory where HDFS will store its data files : The value of parameter hadoop.tmp.dir has to be set to the local directory for storing files of HDFS. Create a directory and set the required ownerships and permissions of "hduser" $ sudo mkdir -p /app/hadoop/tmp $ sudo chown hduser:hadoop /app/hadoop/tmp $ sudo chmod 750 /app/hadoop/tmp Editing conf/core-site.xml as following : $ cd $HADOOP_HOME/conf $ gedit core-site.xml <property> <name>hadoop.tmp.dir</name> <value>/app/hadoop/tmp</value> <description>a base for other temporary directories.</description> </property> <property> <name>fs.default.name</name> <value>hdfs://localhost:54310</value> <description>the name of the default file system. A URI whose scheme and authority determine the FileSystem implementation. The uri's scheme determines the config property (fs.scheme.impl) naming the FileSystem implementation class. 5 The uri's authority is used to determine the host, port, etc. for a filesystem.</description> </property>
6 Editing conf/mapred-site.xml as following : <property> <name>mapred.job.tracker</name> <value>localhost:54311</value> <description>the host and port that the MapReduce job tracker runs at. If "local", then jobs are run in-process as a single map and reduce task. </description> </property> Editing conf/hdfs-site.xml as following : <property> <name>dfs.replication</name> <value>1</value> <description>default block replication. The actual number of replications can be specified when the file is created. The default is used if replication is not specified in create time. </description> </property> Formatting the HDFS file system via the NameNode : Execute the following commands : $ cd $HADOOP_HOME $ bin/hadoop namenode -format The output will look like this: 6
7 1.5 Start your Hadoop Execute the following commands : $ bin/start-all.sh The output will look like this : This will startup a Namenode, Datanode, Jobtracker and a Tasktracker on your machine. Hadoop Web Interfaces : provide necessary information about what s happening in your Hadoop system. (NameNode : HDFS File System) (Hadoop Administration) (TaskTracker daemon) 1.6 Test your hadoop by running WordCount example Make a directory to hold your input files in HDFS : $ cd $HADOOP_HOME $ bin/hadoop dfs -mkdir test-input Put your local files to HDFS : $ bin/hadoop dfs -copyfromlocal *.txt test-input 7
8 Using a browser to check your files in NameNode : Using a command to list files of test-input directory in HDFS : $ bin/hadoop dfs -ls test-input Execute the following command to submit an example word count job to your hadoop system : $ bin/hadoop jar hadoop-examples jar wordcount input ouptput Using Hadoop Admin UI ( ) to check the job status : 8
9 Using web UI of NameNode to browse your output file : 9
10 1.7 Some Notes When the NameNode does not start properly, it will put itself in a safe mode (read only). To force NameNode to leave Safemode, type the following command : $ bin/hadoop dfsadmin -safemode leave To kill a running job : $ bin/hadoop job -kill <job-id> 2. Using NetBeans IDE to Implement and Compile the Source Codes 2.1 Install NetBeans IDE : 2.2 Download the compressed tarballs of source codes and use the following command to extract them to your workbench of the NetBeans IDE : $ tar -zxvf <sourcecode>.tar.gz -C NetBeansProjects/. 10
11 2.3 Open the project of source codes : 2.4 Adding Jar files to library of your project : Focus mouse on the project and right click the mouse button Property 11
12 2.5 Build the project : It will generate a jar file under the dist subdirectory where your project is located. 3. Running the program : 3.1 Upload the test file from local file system to DFS : $ $HADOOP_HOME/bin/hadoop fs -put BMS1.dat TestData/. The format of input file is like as : Each transaction contains a set of items that separate by a [space]. 3.2 Running the program on the Hadoop cluster : $ cd ~/NetBeansProjects/Apriori-MR/dist $ $HADOOP_HOME/bin/hadoop jar Apriori-MR.jar TestData/BMS1.dat output 12
13 References : 1. Hadoop Shell Commands 2. Apache Hadoop 3. Hadoop Wiki 4. Running Hadoop on Ubuntu Linux (Single-Node Cluster) by Michael G. Noll ode-cluster/ 13
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