Description

CSCI312 Big Data Management
Assignment 3

Scope
The objectives of Assignment 3 implementation of HBase table, querying and manipulating data in HBase table, simple data processing with Pig, and data processing with Spark.

This assignment is worth 20% of the total evaluation in the subject.

Only electronic submission through Moodle at:
https://moodle.uowplatform.edu.au/login/index.php
will be accepted. All email submissions will be deleted and mark 0 (“zero”) will be immediately granted for Assignment 3. A submission procedure is explained at the end of Assignment 3 specification.

Only one submission of Assignment 3 is allowed and only one submission per student is accepted.

A submission marked by Moodle as “late” is always treated as a late submission no matter how many seconds it is 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.

A submission of compressed files (zipped, gzipped, rared, tared, 7-zipped, lhzed, … etc) is not allowed. The compressed files will not be evaluated.

Task 1 (5 marks)
Design and implementation of HBase table

Implement as a single HBase table a database that contains information described by the following conceptual schema.

(1) Create HBase script solution1.hb with HBase shell commands that create HBase table and load sample data into the table. Load into the table information about at least one department, three employees such that that one of them is a manager of the others and two projects the employees are working on.
When ready use HBase shell to process a script file solution1.hb and to save a report from processing in a file solution1.rpt.
Deliverables
A file solution1.rpt that contains a report from processing of solution1.hb script with the statements that create HBase table and load sample data.

Task 2 (5 marks)
Querying and manipulating data in HBase table
Consider a conceptual schema given below. The schema represents a simple database domain where students submit assignments and each submission consists of several files and it is related to one subject.

Download a file task2.hb with HBase shell commands and use HBase shell to process it. Processing of task2.hb creates HBase table task2 and loads some data into it.

Use HBase shell to implement the following queries and data manipulations on the HBase table created in the previous step. Save the queries and data manipulations in a file solution2.hb.

(1) Find all information about a student number 007, list one version per cell.
(2) Find all information about a submission of assignment 1 performed by a student 007 in a subject 312, list one version per cell.
(3) Find the first and the last names of all students, list one version per cell.
(4) Find all information about a student whose last name is Potter, list one version per cell.
(5) Delete a column family FILES.
(6) Add a column family ENROLMENT that contains information about dates when the subjects have been enrolled by the students and allow for 2 versions in each cell of the column family.
(7) Insert information about at least two enrolments performed by the students.
(8) List information about all enrolments performed by the students.
(9) Increase the total number of versions in each cell of a column family ENROLMENT.
(10) Delete HBase table task2.

When ready, start HBase shell and process a script file solution2.hb with Hbase command shell. When processing is completed copy the contents of Command window with a listing from processing of the script and paste the results into a file solution2.rpt. Save the file. When ready submit a file solution2.rpt.

Deliverables
A file solution2.rpt with a listing from processing of a script file solution2.hb.

Task 3 (5 marks)
Consider the following conceptual schema of a data warehouse.

Use editor to examine the contents of *.tbl files. Note, that each file has a header with information about the meanings of data in each column. A header is not a data component of each file.
(1) Remove the headers and transfer the files into HDFS.
Create Pig Latin script solution3.pig that implements the following queries.
(2) Find the first and the last name (first-name, last-name) of sales people who handled the orders submitted by a company Consolidated Holdings.
(3) Find the total number of products not ordered in 1996.
(4) Find the summarizations of quantities (quantity) per ordered product (product-id).
(5) Find the identifiers of orders (order-id) that included both Ikura and Tofu.
When ready, use pig command line interface to process a script solution3.pig and to save a report from processing in a file solution3.rpt.
Deliverables
A file solution3.rpt with a report from processing of Pig Latin script solution3.pig.

Task 4 (5 marks)
Data processing with Spark

Consider the following sales related information.

bolt 45 bolt 5 drill 1 drill 1 screw 1 screw 2 screw 3 … …

Add more lines to information listed above and load the sales related information into a text file sales.txt and later on load the file into HDFS.

An objective of this task is to find the total sales per part using three different techniques: Resilient Distributed Datasets, Datasets, and DataFrames with SQL.

Use Spark command line interface to implement the following tasks.

(1) Load the contents of a file sales.txt located in HDFS into a Resilient Distributed Dataset (RDD) and use RDD to find the total sales pert part.

When ready copy the contents of Terminal screen with a report from implementation of a task (1) and paste it into a file solution4.rpt.

(2) Load the contents of a file sales.txt located in HDFS into a Dataset and use the Dataset to find the total sales pert part.

When ready copy the contents of Terminal screen with a report from implementation of a task (2) and paste/append it at the end of a file solution4.rpt.

(3) Load the contents of a file sales.txt located in HDFS into a DataFrame and use SQL to find the total sales pert part.

When ready copy the contents of Terminal screen with a report from implementation of a task (3) and paste/append it at the end of a file solution4.rpt.

Deliverables
A file solution4.rpt with a report from of implementation of the tasks (1), (2), and
(3) .

Submission of Assignment 3

Note, that you have only one submission. So, make it absolutely sure that you submit the correct files with the correct contents. No other submission is possible !

Submit the files solution1.rpt, solution2.rpt, solution3.rpt, and solution4.rpt through Moodle in the following way:
(1) Access Moodle at http://moodle.uowplatform.edu.au/
(2) 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
(3) When logged select a site ISIT312 (SP222) Big Data Management
(4) Scroll down to a section ASSESSMENT ITEMS (ASSIGNMENTS)
(5) Click at In this place you can submit the outcomes of your work on the tasks included in Assignment 3 link.
(6) Click at a button Add Submission
(7) Move a file solution1.pdf into an area You can drag and drop files here to add them. You can also use a link Add…
(8) Repeat step (7) for the remaining files solution1.rpt, solution2.rpt, solution3.rpt, and solution4.rpt.
(9) Click at a button Save changes
(10) Click at a button Submit assignment
(11) 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