怎么在ubuntu hadoop上运行apriori程序

本机环境

ubuntu 12

hadoop 1.1.2

首先保证hadoop配置成功

1、在Hadoop的解压目录的如下位置可以找到WordCount.java的源文件 src/examples/org/apache/hadoop/examples/WordCount.java

新建一个wordcount的文件夹，将WordCount.java拷贝至dev/wordcount文件夹下

2.编译wordcount.java

3.将生成的class文件打包

4.在wordcount下建立file01 file02两个文件

5.启动hadoop,在hdfs上创建input文件夹，并将两个输入文件上传至input文件夹

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root@zcf-K42JZ:/usr/local/hadoop# bin/hadoop dfs -ls

ls: Cannot access .: No such file or directory.

root@zcf-K42JZ:/usr/local/hadoop# bin/hadoop dfs -mkdir input

root@zcf-K42JZ:/usr/local/hadoop# bin/hadoop dfs -ls

Found 1 items

drwxr-xr-x - root supergroup 0 2014-03-04 17:48 /user/root/input

root@zcf-K42JZ:/usr/local/hadoop# bin/hadoop fs -put /home/zcf/ 桌面/file01 input

root@zcf-K42JZ:/usr/local/hadoop# bin/hadoop fs -put /home/zcf/ 桌面/file02 input

root@zcf-K42JZ:/usr/local/hadoop# bin/hadoop fs -ls input

Found 2 items

-rw-r--r-- 1 root supergroup 22 2014-03-04 17:50 /user/root/input/file01

-rw-r--r-- 1 root supergroup 28 2014-03-04 17:50 /user/root/input/file02

6.运行wordcount.jar

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root@zcf-K42JZ:/usr/local/hadoop# bin/hadoop jar wordcount/wordcount.jar org.apache.hadoop.examples.WordCount input output

14/03/04 17:58:14 INFO input.FileInputFormat: Total input paths to process : 2

14/03/04 17:58:14 INFO util.NativeCodeLoader: Loaded the native-hadoop library

14/03/04 17:58:14 WARN snappy.LoadSnappy: Snappy native library not loaded

14/03/04 17:58:15 INFO mapred.JobClient: Running job: job_201403041744_0001

14/03/04 17:58:16 INFO mapred.JobClient: map 0% reduce 0%

14/03/04 17:58:21 INFO mapred.JobClient: map 50% reduce 0%

14/03/04 17:58:22 INFO mapred.JobClient: map 100% reduce 0%

14/03/04 17:58:29 INFO mapred.JobClient: map 100% reduce 33%

14/03/04 17:58:31 INFO mapred.JobClient: map 100% reduce 100%

14/03/04 17:58:32 INFO mapred.JobClient: Job complete: job_201403041744_0001

14/03/04 17:58:32 INFO mapred.JobClient: Counters: 29

14/03/04 17:58:32 INFO mapred.JobClient: Job Counters

14/03/04 17:58:32 INFO mapred.JobClient: Launched reduce tasks=1

14/03/04 17:58:32 INFO mapred.JobClient: SLOTS_MILLIS_MAPS=8421

14/03/04 17:58:32 INFO mapred.JobClient: Total time spent by all reduces waiting after reserving slots (ms)=0

14/03/04 17:58:32 INFO mapred.JobClient: Total time spent by all maps waiting after reserving slots (ms)=0

14/03/04 17:58:32 INFO mapred.JobClient: Launched map tasks=2

14/03/04 17:58:32 INFO mapred.JobClient: Data-local map tasks=2

14/03/04 17:58:32 INFO mapred.JobClient: SLOTS_MILLIS_REDUCES=9155

14/03/04 17:58:32 INFO mapred.JobClient: File Output Format Counters

14/03/04 17:58:32 INFO mapred.JobClient: Bytes Written=41

14/03/04 17:58:32 INFO mapred.JobClient: FileSystemCounters

14/03/04 17:58:32 INFO mapred.JobClient: FILE_BYTES_READ=79

14/03/04 17:58:32 INFO mapred.JobClient: HDFS_BYTES_READ=268

14/03/04 17:58:32 INFO mapred.JobClient: FILE_BYTES_WRITTEN=152857

14/03/04 17:58:32 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=41

14/03/04 17:58:32 INFO mapred.JobClient: File Input Format Counters

14/03/04 17:58:32 INFO mapred.JobClient: Bytes Read=50

14/03/04 17:58:32 INFO mapred.JobClient: Map-Reduce Framework

14/03/04 17:58:32 INFO mapred.JobClient: Map output materialized bytes=85

14/03/04 17:58:32 INFO mapred.JobClient: Map input records=2

14/03/04 17:58:32 INFO mapred.JobClient: Reduce shuffle bytes=85

14/03/04 17:58:32 INFO mapred.JobClient: Spilled Records=12

14/03/04 17:58:32 INFO mapred.JobClient: Map output bytes=82

14/03/04 17:58:32 INFO mapred.JobClient: CPU time spent (ms)=2840

14/03/04 17:58:32 INFO mapred.JobClient: Total committed heap usage (bytes)=306511872

14/03/04 17:58:32 INFO mapred.JobClient: Combine input records=8

14/03/04 17:58:32 INFO mapred.JobClient: SPLIT_RAW_BYTES=218

14/03/04 17:58:32 INFO mapred.JobClient: Reduce input records=6

14/03/04 17:58:32 INFO mapred.JobClient: Reduce input groups=5

14/03/04 17:58:32 INFO mapred.JobClient: Combine output records=6

14/03/04 17:58:32 INFO mapred.JobClient: Physical memory (bytes) snapshot=382898176

14/03/04 17:58:32 INFO mapred.JobClient: Reduce output records=5

14/03/04 17:58:32 INFO mapred.JobClient: Virtual memory (bytes) snapshot=1164251136

14/03/04 17:58:32 INFO mapred.JobClient: Map output records=8

7.查看运行结果

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root@zcf-K42JZ:/usr/local/hadoop# bin/hadoop fs -ls

Found 2 items

drwxr-xr-x - root supergroup 0 2014-03-04 17:50 /user/root/input

drwxr-xr-x - root supergroup 0 2014-03-04 17:58 /user/root/output

root@zcf-K42JZ:/usr/local/hadoop# bin/hadoop fs -ls output

Found 3 items

-rw-r--r-- 1 root supergroup 0 2014-03-04 17:58 /user/root/output/_SUCCESS

drwxr-xr-x - root supergroup 0 2014-03-04 17:58 /user/root/output/_logs

-rw-r--r-- 1 root supergroup 41 2014-03-04 17:58 /user/root/output/part-r-00000

root@zcf-K42JZ:/usr/local/hadoop# bin/hadoop fs -cat /output/part-r-00000

cat: File does not exist: /output/part-r-00000

root@zcf-K42JZ:/usr/local/hadoop# bin/hadoop fs -cat output/part-r-00000

Bye 1

Goodbye 1

Hadoop 2

Hello 2

World 2

至此，hadoop下的WordCount实例运行结束，如果还想重新运行一遍，这需把hadoop下的output文件夹删除，因为hadoop为了保证结果的正确性，存在输出的文件夹的话，就会报异常，异常如下

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ERROR security.UserGroupInformation: PriviledgedActionException as:

root cause:org.apache.hadoop.mapred.FileAlreadyExistsException:

Output directory output already exists

删除hdfs上的output文件

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root@zcf-K42JZ:/usr/local/hadoop# bin/hadoop fs -rmr output

Deleted hdfs://localhost:9000/user/root/output

ubuntu配置单机hadoop的步骤：

1、创建hadoop用户组

2、创建hadoop用户

sudo adduser -ingroup hadoop hadoop

回车后会提示输入新的UNIX密码，这是新建用户hadoop的密码，输入回车即可。

如果不输入密码，回车后会重新提示输入密码，即密码不能为空。

最后确认信息是否正确，如果没问题，输入 Y，回车即可。

3、为hadoop用户添加权限

输入：sudo gedit /etc/sudoers

回车，打开sudoers文件

给hadoop用户赋予和root用户同样的权限

二、用新增加的hadoop用户登录Ubuntu系统

三、安装ssh

sudo apt-get install openssh-server

安装完成后，启动服务

sudo /etc/init.d/ssh start

查看服务是否正确启动：ps -e | grep ssh

设置免密码登录，生成私钥和公钥

ssh-keygen -t rsa -P ""

此时会在／home／hadoop/.ssh下生成两个文件：id_rsa和id_rsa.pub，前者为私钥，后者为公钥。

下面我们将公钥追加到authorized_keys中，它用户保存所有允许以当前用户身份登录到ssh客户端用户的公钥内容。

cat ~/.ssh/id_rsa.pub >>~/.ssh/authorized_keys

登录ssh

退出

exit

四、安装Java环境

sudo apt-get install openjdk-7-jdk

查看安装结果，输入命令：java -version，结果如下表示安装成功。

五、安装hadoop2.4.0

1、官网下载

2、安装

解压

sudo tar xzf hadoop-2.4.0.tar.gz

假如我们要把hadoop安装到/usr/local下

拷贝到/usr/local/下，文件夹为hadoop

sudo mv hadoop-2.4.0 /usr/local/hadoop

赋予用户对该文件夹的读写权限

sudo chmod 774 /usr/local/hadoop

3、配置

1）配置~/.bashrc

配置该文件前需要知道Java的安装路径，用来设置JAVA_HOME环境变量，可以使用下面命令行查看安装路径

update-alternatives - -config java

完整的路径为

/usr/lib/jvm/java-7-openjdk-amd64/jre/bin/java

我们只取前面的部分 /usr/lib/jvm/java-7-openjdk-amd64

配置.bashrc文件

sudo gedit ~/.bashrc

该命令会打开该文件的编辑窗口，在文件末尾追加下面内容，然后保存，关闭编辑窗口。

#HADOOP VARIABLES START

export JAVA_HOME=/usr/lib/jvm/java-7-openjdk-amd64

export HADOOP_INSTALL=/usr/local/hadoop

export PATH=$PATH:$HADOOP_INSTALL/bin

export PATH=$PATH:$HADOOP_INSTALL/sbin

export HADOOP_MAPRED_HOME=$HADOOP_INSTALL

export HADOOP_COMMON_HOME=$HADOOP_INSTALL

export HADOOP_HDFS_HOME=$HADOOP_INSTALL

export YARN_HOME=$HADOOP_INSTALL

export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_INSTALL/lib/native

export HADOOP_OPTS="-Djava.library.path=$HADOOP_INSTALL/lib"

#HADOOP VARIABLES END

执行下面命，使添加的环境变量生效：

source ~/.bashrc

2）编辑/usr/local/hadoop/etc/hadoop/hadoop-env.sh

执行下面命令，打开该文件的编辑窗口

sudo gedit /usr/local/hadoop/etc/hadoop/hadoop-env.sh

找到JAVA_HOME变量，修改此变量如下

export JAVA_HOME=/usr/lib/jvm/java-7-openjdk-amd64

修改后的hadoop-env.sh文件如下所示：

六、WordCount测试

单机模式安装完成，下面通过执行hadoop自带实例WordCount验证是否安装成功

/usr/local/hadoop路径下创建input文件夹

mkdir input

拷贝README.txt到input

cp README.txt input

执行WordCount

bin/hadoop jar share/hadoop/mapreduce/sources/hadoop-mapreduce-examples-2.4.0-sources.jar org.apache.hadoop.examples.WordCount input output

执行结果：

执行 cat output/*，查看字符统计结果

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