سناریوی کار با هادوپ: تفاوت میان نسخه‌ها

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بدون خلاصۀ ویرایش
بدون خلاصۀ ویرایش
 
(۹ نسخهٔ میانی ویرایش شده توسط ۳ کاربر نشان داده نشد)
خط ۱: خط ۱:
Hadoop Workshop
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1- Login (username: root, password:1)


2- Start terminal
==Hadoop Workshop==


3- Run: Start-all.sh
1- Login (username: root, password:1)
 
4- Check if the services are runing:


a. Namenode
2- Open the terminal


b. Datanode
3- Start Hadoop:


c. Jobtracker
a. start-all.sh


d. Tasktracker
4- Check if the services are running:


e. Secondary Namenode
a.Namenode
b.Datanode
c.Jobtracker
d.Tasktracker
e.Secondary Namenode


5- run PiEstimator program with different arguments and compare the results:
5- run PiEstimator program with different arguments and compare the results:


a. hadoop jar /root/NetBeansProjects/PiEstimator/dist/PiEstimator.jar PiEstimator #Map #sample
a. hadoop jar /root/NetBeansProjects/PiEstimator/dist/PiEstimator.jar PiEstimator #Map #sample


6- creat a directory into the HDFS:
6- create a directory into the HDFS:


a. Hadoop fs -mkdir  /input
a. Hadoop fs -mkdir  /input


7- creat a text file and write something in it!
7- create a text file and write something in it!


8- upload the text file into the HDFS (in the /input directory):
8- upload the text file into the HDFS (in the /input directory):


a. hadoop fs -copyFromLocal /root/Desktop/text.txt  /input
a. hadoop fs -copyFromLocal /root/Desktop/text.txt  /input


9- Run the wordCount program:
9- Run the wordCount program:


a. hadoop  jar  /root/NetBeansProjects/wordcount/dist/wordcount.jar  wordcount  /input  /out
a. hadoop  jar  /root/NetBeansProjects/wordcount/dist/wordcount.jar  wordcount  /input  /out


10- you can watch the Jobtracker while processing: http://master:50030
10- you can watch the Jobtracker while processing: http://master:50030
خط ۴۰: خط ۴۱:
11- after finishing the process, you can see the results using a browser:  http://master:50070
11- after finishing the process, you can see the results using a browser:  http://master:50070


12- download the results from HDFS:  Hadoop fs -copyToLocal /root/Desktop/text.txt  /input
12- download the results from HDFS:   
 
a. Hadoop fs -copyToLocal /out /root/Desktop


13- you can add some more text files into the /input  directory and run the program again.
13- you can add some more text files into the /input  directory and run the program again.




Some useful commands:
'''Some useful commands:'''
 
* to remove a directory from HDFS:
 
o hadoop fs –rmr    /directory
 
* to see the list of files in a directory:
 
o hadoop fs -ls URI


to remove a directory from HDFS:
* to see the content of a file:


o hadoop fs –rmr    /directory
o hadoop fs -cat URI [URI …]


to see the list of files in a directory:
* to see the last 1 kilobyte of a file:


o hadoop fs -ls URI
o hadoop fs -tail URI


to see the content of a file:
* to see the version of Hadoop:


o hadoop fs -cat URI [URI …]
o hadoop version


to see the last 1 kilobyte of a file:
* to copy files in HDFS:


o hadoop fs -tail URI
o hadoop fs -cp URI DestinationDirectory


to see the version of  Hadoop:
* to move a file across the HDFS:


o hadoop version
o hadoop fs -mv URI  DestinationDirectory


• to copy files in HDFS:


o hadoop fs -cp URI
'''By: Abolfazl Mohammadi Seif'''


• to move a file across the HDFS:


o hadoop fs -cp URI
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نسخهٔ کنونی تا ‏۴ مارس ۲۰۱۵، ساعت ۱۲:۰۶

Hadoop Workshop

1- Login (username: root, password:1)

2- Open the terminal

3- Start Hadoop:

a.	start-all.sh

4- Check if the services are running:

a.Namenode
b.Datanode
c.Jobtracker
d.Tasktracker
e.Secondary Namenode

5- run PiEstimator program with different arguments and compare the results:

a.	hadoop jar /root/NetBeansProjects/PiEstimator/dist/PiEstimator.jar PiEstimator #Map #sample

6- create a directory into the HDFS:

a.	Hadoop fs -mkdir   /input

7- create a text file and write something in it!

8- upload the text file into the HDFS (in the /input directory):

a.	hadoop fs -copyFromLocal /root/Desktop/text.txt   /input

9- Run the wordCount program:

a.	hadoop  jar  /root/NetBeansProjects/wordcount/dist/wordcount.jar  wordcount  /input   /out

10- you can watch the Jobtracker while processing: http://master:50030

11- after finishing the process, you can see the results using a browser: http://master:50070

12- download the results from HDFS:

a.	Hadoop fs -copyToLocal /out /root/Desktop

13- you can add some more text files into the /input directory and run the program again.


Some useful commands:

  • to remove a directory from HDFS:
o	hadoop fs –rmr    /directory
  • to see the list of files in a directory:
o	hadoop fs -ls URI
  • to see the content of a file:
o	hadoop fs -cat URI [URI …]
  • to see the last 1 kilobyte of a file:
o	hadoop fs -tail URI
  • to see the version of Hadoop:
o	hadoop version
  • to copy files in HDFS:
o	hadoop fs -cp URI  DestinationDirectory
  • to move a file across the HDFS:
o	hadoop fs -mv URI  DestinationDirectory


By: Abolfazl Mohammadi Seif