Scope
The objectives of Assignment 1 include implementation of HDFS applications, implementation of simple MapReduce applications, and describing an implementation of complex MapReduce applications.
The assignment consists of 3 tasks and the specification of each task starts from a new page.
Only electronic submission through Moodle at:
https://moodle.uowplatform.edu.au/login/index.php
will be accepted. A submission procedure is explained at the end of Assignment 1 specification.
A policy regarding late submissions is included in the subject outline. Only one submission of Assignment 1 is allowed and only one submission per student is accepted.
A late submission penalty (25% of the total mark) will be applied for every 24 hours late.
A submission that contains an incorrect file attached is treated as a correct submission with all consequences coming from the evaluation of the file attached.
All files left on Moodle in a state “Draft(not submitted)” will not be evaluated.
An implementation that does not compile well due to one or more syntactical and/or run time errors scores no marks.
The first assignment is an individual assignment and it is expected that all its tasks will be solved individually without any cooperation with the other students. However, it is allowed to declare in the submission comments that a particular component or task of this assignment has been implemented in cooperation with another student. In such a case evaluation of a task or component may be shared with another student. In all other cases plagiarism will result in a FAIL grade being recorded for entire assignment. If you have any doubts, questions, etc. please consult your lecturer or tutor during laboratory/tutorial classes or over e-mail.
Task 1 (3 marks)
Implementation of HDFS application
Implement a HDFS application that merges two txt files located in HDFS into one file also located in HDFS.
The application must have the following parameters.
- A path to, and a name of the first input file in HDFS.
- A path to, and a name of the second input file in HDFS.
- A path to, and a new name of an output file to be created in HDFS. The file is supposed to contain the contents of the first input file followed by the contents of the second input file.
Perform the following steps.
Implement the application and save its source code in a file solution1.java.
Upload two files to HDFS. The contents, the name, and the locations of the files in HDSF are up to you.
When ready, compile, create jar file, and process your application. Display the results created by the application.
Use Hadoop to provide a piece of evidence that two files uploaded into HDFS have been successful merged into one file in HDFS.
Deliverables
A file solution1.java with a source code of the application that merges two HDFS files. A file solution1.pdf that contains the contents of Terminal window with a report from compilation, creation of jar file, uploading to HDFS two small files for testing, processing of the application, and an evidence that two files uploaded into HDFS has been successful merges in one file in HDFS.
Task 2 (4 marks)
Implementation of MapReduce application
Assume, that a speed camera records the speed of passing cars and saves the measurements in a text file. The speed of each car is measured in kilometres per hour. A single row in the file contains a car registration number, a date when the speed has been measured and the speed of a car with the recorded registration number. The values are always separated with a single blank.
For example, a sample file (SpeedCamera.txt) with the speed measurements contains the following lines:
PKR856 14-NOV-2021 140
UPS234 20-FEB-2022 180
PKR856 20-MAR-2020 90
PKR856 17-JUN-2021 70
UPS234 22-SEP-2022 200
UPS234 03-AUG-2020 130
Assume, that a speed limit in a location of the speed camera is 70 kilometres per hour.
Your task is to implement a MapReduce application, that finds the average speed of EACH car, that exceeded a speed limit in the location of the speed camera.
An input file with the speed measurements must include the lines listed above and it must contain at least 20 measurements. All additional measurements are up to you.
Save your solution in a file solution2.java.
When ready, compile, create jar file, and process your application. Display the results created by the application. Next, list your input file with the speed measurements. When finished, Copy and Paste the messages from a Terminal screen into a file solution2.pdf.
Deliverables
A file solution2.java with a source code of the application that complete the task given above. A file solution2.pdf with a report from compilation, creating jar file, processing, displaying the results of processing solution2.java, and listing of your input file with the speed measurements.
Task 3 (3 marks)
Implementation of MapReduce application
An application MinMax has the functionality the same as the following SQL statement.
SELECT key, MIN(value), MAX(value)
FROM Sequence-of-key-value-pairs
GROUP BY key;
Extend Java code of the application such that it implements the functionality the same as the following SQL statement.
SELECT key, AVG(value), SUM(value)
FROM Sequence-of-key-value-pairs
GROUP BY key;
Save your solution in a file solution3.java.
When ready, compile, create jar file, and process your application. To test your application, you can use a file sales.txt included in a folder with a specification of Exercise 2. Display the results created by the application. When finished, Copy and Paste the messages from a Terminal screen into a file solution3.pdf.
Deliverables
A file solution3.java with a source code of the application that that complete the task given above. A file solution3.pdf with a report from compilation, creating jar file, processing, and displaying the results of processing solution3.java.
Submission of Assignment 1
Note, that you have only one submission. So, make it absolutely sure that you submit the correct files with the correct contents. Please submit an Academic Consideration in SOLS if an extension (1 week maximally) is required.
Please combine the files solution1.pdf, solution2.pdf, and solution3.pdf as a single pdf (solutions.pdf) first, then zip the files solutions.pdf, solution1.java, solution2.java, and
solution3.java into a single zipped file (A1-solutions.zip). Please submit the zipped file through Moodle in the following way:
- Access Moodle at http://moodle.uowplatform.edu.au/
- To login use a Login link located in the right upper corner the Web page or in the middle of the bottom of the Web page
- When logged select a site ISIT312 (SP423) Big Data Management (4) Scroll down to a section SUBMISSIONS
- Click at Assignment 1
- Click at a button Add Submission
- Move the zipped file A1-solutions.zip into an area You can drag and drop files here to add them. You can also use a link Add…
- Click at a button Save changes
- Click at a button Submit assignment
- Click at the checkbox with a text attached: By checking this box, I confirm that this submission is my own work, … in order to confirm authorship of your submission. (12) Click at a button Continue
End of specification
