This article is extension of Commonly asked DBMS interview questions | Set 1.
Q. There is a table where only one row is fully repeated. Write a Query to find the Repeated row
In the above table, we can find duplicate row using below query.
SELECT name, section FROM tbl GROUP BY name, section HAVING COUNT(*) > 1
Q. Query to find 2nd highest salary of an employee?
SELECT max(salary) FROM EMPLOYEES WHERE salary IN (SELECT salary FROM EMPLOYEEs MINUS SELECT max(salary) FROM EMPLOYEES);
SELECT max(salary) FROM EMPLOYEES WHERE salary <> (SELECT max(salary) FROM EMPLOYEES);
Q.Consider the following Employee table. How many rows are there in the result of following query?
ID salary DeptName
1 10000 EC
2 40000 EC
3 30000 CS
4 40000 ME
5 50000 ME
6 60000 ME
7 70000 CS
How many rows are there in the result of following query?
SELECT E.ID FROM Employee E WHERE EXISTS (SELECT E2.salary FROM Employee E2 WHERE E2.DeptName = 'CS' AND E.salary > E2.salary)
Following 5 rows will be result of query as 3000 is the minimum salary of CS Employees and all these rows are greater than 30000.
Q. Write a trigger to update Emp table such that, If an updation is done in Dep table then salary of all employees of that department should be incremented by some amount (updation)
Assuming Table name are Dept and Emp, trigger can be written as –
CREATE OR REPLACE TRIGGER update_trig AFTER UPDATE ON Dept FOR EACH ROW DECLARE CURSOR emp_cur IS SELECT * FROM Emp; BEGIN FOR i IN emp_cur LOOP IF i.dept_no = :NEW.dept_no THEN DBMS_OUTPUT.PUT_LINE(i.emp_no); -- for printing those UPDATE Emp -- emp number which are SET sal = i.sal + 100 -- updated WHERE emp_no = i.emp_no; END IF; END LOOP; END;
Q. There is a table which contains two column Student and Marks, you need to find all the students, whose marks are greater than average marks i.e. list of above average students.
SELECT student, marks FROM table WHERE marks > SELECT AVG(marks) from table;
Q.Name the student who has secured third highest marks using sub queries.
SELECT Emp1.Name FROM Employee Emp1 WHERE 2 = (SELECT COUNT(DISTINCT(Emp2.Salary)) FROM Employee Emp2 WHERE Emp2.Salary > Emp1.Salary )
*LOGIC- Number of people with salary higher than this person will be 2.
Q. Why we cannot use WHERE clause with aggregate functions like HAVING ?
The difference between the having and where clause in SQL is that the where clause canNOT be used with aggregates, but the having clause can. Please note : It is not a predefined rule but by and large you’ll see that in a good number of the SQL queries, we use WHERE prior to GROUP BY and HAVING after GROUP BY.
The Where clause acts as a pre filter where as Having as a post filter.
The where clause works on row’s data, not on aggregated data.
Let us consider below table ‘Marks’.
Student Course Score
a c1 40
a c2 50
b c3 60
d c1 70
e c2 80
Consider the query
SELECT Student, sum(Score) AS total FROM Marks
This would select data row by row basis. The having clause works on aggregated data.
For example, output of below query
SELECT Student, sum(score) AS total FROM Marks
When we apply having in above query, we get
SELECT Student, sum(score) AS total FROM Marks having total > 70
Q. Difference between primary key and unique key and why one should use unique key if it allows only one null ?
- Only one in a row(tuple).
- Never allows null value(only key field).
- Unique key identifier and can not be null and must be unique.
- Can be more than one unique key in one row.
- Unique key can have null values(only single null is allowed).
- It can be a candidate key.
- Unique key can be null and may not be unique.
Q. What’s the difference between materialized and dynamic view?
- Disk based and are updated periodically based upon the query definition.
- A materialized table is created or updated infrequently and it must be synchronized with its associated base tables.
- Virtual only and run the query definition each time they are accessed.
- A dynamic view may be created every time that a specific view is requested by the user.
Q. What is embedded and dynamic SQL?
Static or Embedded SQL
- SQL statements in an application that do not change at runtime and, therefore, can be hard-coded into the application.
- SQL statements that are constructed at runtime; for example, the application may allow users to enter their own queries.
- Dynamic SQL is a programming technique that enables you to buildSQL statements dynamically at runtime. You can create more general purpose, flexible applications by using dynamic SQL because the full text of a SQL statement may be unknown at compilation.
|S.No.||Static (embedded) SQL||Dynamic (interactive) SQL|
|1.||In static SQL how database will be accessed is predetermined in the embedded SQL statement.||In dynamic SQL, how database will be accessed is determined at run time.|
|2.||It is more swift and efficient.||It is less swift and efficient.|
|3.||SQL statements are compiled at compile time.||SQL statements are compiled at run time.|
|4.||Parsing, validation, optimization, and generation of application plan are done at compile time.||Parsing, validation, optimization, and generation of application plan are done at run time.|
|5.||It is generally used for situations where data is distributed uniformly.||It is generally used for situations where data is distributed non-uniformly.|
|6.||EXECUTE IMMEDIATE, EXECUTE and PREPARE statements are not used.||EXECUTE IMMEDIATE, EXECUTE and PREPARE statements are used.|
|7.||It is less flexible.||It is more flexible.|
Q. What is the difference between CHAR and VARCHAR?
- CHAR and VARCHAR are differ in storage and retrieval.
- CHAR column length is fixed while VARCHAR length is variable.
- The maximum no. of character CHAR data type can hold is 255 character while VARCHAR can hold up to 4000 character.
- CHAR is 50% faster than VARCHAR.
- CHAR uses static memory allocation while VARCHAR uses dynamic memory allocation.
You may also like:
Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.
- SQL Interview Questions
- Lossless Decomposition in DBMS
- Introduction of Relational Algebra in DBMS
- Need for DBMS
- Commonly asked DBMS interview questions | Set 1
- Normal Forms in DBMS
- View Serializability in DBMS Transactions
- Relational Model in DBMS
- Concurrency Control in DBMS
- Conflict Serializability in DBMS
- Recoverability in DBMS
- Last Minute Notes - DBMS
- ACID Properties in DBMS
- DBMS Architecture 2-Level, 3-Level
- Introduction of DBMS (Database Management System) | Set 1