Group A
Q5: Exporting and Importing Data:
• Design and develop SQL DML statements to demonstrate exporting tables to external files of different file formats such as CSV, XLSX, TXT, etc.
• Design and develop SQL DML statements to demonstrate importing data from external files of different file formats such as CSV, XLSX, TXT, etc.
View Code 1
Q1: SQL Queries:
• Design and Develop SQL DDL statements which demonstrate the use of SQL objects such as Table, View, Index, Sequence, Synonym, different constraints etc.
• Write at least 10 SQL queries on the suitable database application using SQL DML statements.
Note: Instructor will design the queries which demonstrate the use of concepts like Insert, Select, Update, Delete with operators, functions, and set operator etc.
Q2: SQL Queries – all types of Join, Sub-Query and View:
Write at least 10 SQL queries for suitable database application using SQL DML statements.
Note: Instructor will design the queries which demonstrate the use of concepts like all types of Join, Sub-Query and View.
Q3: MongoDB Queries:
Design and Develop MongoDB Queries using CRUD operations. (Use CRUD operations, SAVE method, logical operators etc.)
Q4: Unnamed PL/SQL code block: Use of Control structure and Exception handling is mandatory.
Suggested Problem statement:
Consider Tables:
1. Borrower (Roll_no, Name, Date_of_Issue, Name_of_Book, Status)
2. Fine (Roll_no, Date, Amt)
• Accept Roll_no and Name_of_Book from user.
• Check the number of days (from Date_of_Issue).
• If days are between 15 to 30 then fine amount will be Rs 5 per day.
• If no. of days > 30, per day fine will be Rs 50 per day and for days less than 30, Rs. 5 per day.
• After submitting the book, status will change from I to R.
• If condition of fine is true, then details will be stored into fine table.
• Also handles the exception by named exception handler or user define exception handler.
OR
MongoDB – Aggregation and Indexing:
• Design and Develop MongoDB Queries using aggregation and indexing with suitable example using MongoDB.
MongoDB – Map-reduce operations:
• Implement Map-reduce operation with suitable example using MongoDB.
Q6: Cursors (All types: Implicit, Explicit, Cursor FOR Loop, Parameterized Cursor):
Write a PL/SQL block of code using parameterized Cursor that will merge the data available in the newly created table N_Roll_Call with the data available in the table O_Roll_Call. If the data in the first table already exists in the second table then that data should be skipped.
Note: Instructor will frame the problem statement for writing PL/SQL block using all types of Cursors in line with above statement.
Q7: Database Connectivity:
Write a program to implement MySQL/Oracle database connectivity with any front-end language to implement Database navigation operations (add, delete, edit etc.)