Lecture 5: Advanced SQL Queries and Triggers
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Questions and Answers

What is the purpose of the EXISTS function in SQL?

  • To check if a correlated nested query returns any results. (correct)
  • To aggregate values in a specified column.
  • To return the total number of records in a table.
  • To retrieve distinct values from a specified column.

Which clause is necessary when using aggregate functions to summarize information?

  • GROUP BY (correct)
  • WHERE
  • ORDER BY
  • HAVING

What does the UNIQUE function do in SQL?

  • It combines results from multiple queries into one.
  • It retrieves the highest value from a selected column.
  • It checks if a specific value exists in a dataset.
  • It ensures that there are no duplicate tuples in a query result. (correct)

How is the GROUP BY clause typically structured in a query?

<p>The grouping attribute must appear in the SELECT clause. (B)</p> Signup and view all the answers

What is a correlated nested query?

<p>A nested query that is dependent on the outer query for values. (D)</p> Signup and view all the answers

What is the use of the HAVING clause in an SQL statement?

<p>To filter groups of records after aggregation. (A)</p> Signup and view all the answers

Which of the following aggregation functions would you use to find the smallest value in a set?

<p>MIN (D)</p> Signup and view all the answers

What is required when using nested queries in SQL?

<p>Aliasing is necessary for all tables involved. (A)</p> Signup and view all the answers

Flashcards

Nested Queries

Queries that include a complete SELECT statement within the WHERE clause of another query.

Aggregate Functions

Functions that summarize data from multiple rows into a single value (e.g., SUM, AVG, MAX, MIN, COUNT).

GROUP BY Clause

Partitions a relation into groups based on specified attributes, allowing calculations on each group.

Correlated Nested Queries

Nested queries where the inner query depends on the outer query's values to produce results.

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EXISTS function

A boolean function that returns TRUE if a correlated nested query returns at least one row, FALSE otherwise.

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UNIQUE function

A boolean function which returns TRUE if the input query result has no duplicate rows, otherwise FALSE.

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HAVING clause

A clause in SQL used to filter groups defined by a GROUP BY clause.

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CASE statement

Used to implement conditional logic in SQL queries. Allows different results based on different conditions.

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Study Notes

Lecture 5: More SQL Queries, Triggers, and Views

  • Lecture focuses on complex SQL queries, triggers, and views
  • Topics within the lecture include more complex SQL retrieval queries, triggers in SQL, and views

More Complex SQL Retrieval Queries

  • Nested queries: Complete SELECT-FROM-WHERE blocks placed within the WHERE clause of other queries; used for filtering data based on results from other queries
    • Example Syntax:
      SELECT Pnumber, Pname FROM project
      WHERE Pnumber IN (SELECT Pnumber FROM Project, Department WHERE dname = 'Finance');
      
  • Nested queries (cont.): Employ comparison operators to compare values; avoiding potential errors and ambiguities via tuple variables (aliases) in SQL queries
    • Example Syntax:
      SELECT Lname, Fname FROM employee
      WHERE salary > ALL (SELECT salary FROM employee WHERE Dno = 5);
      
  • Correlated nested queries: Nested queries using = or IN operators, which can be collapsed into one single block
    • Example Syntax for Query 16A:
      SELECT E.Fname, E.Lname
      FROM EMPLOYEE AS E, DEPENDENT AS D
      WHERE E.Ssn=D.Essn AND E.Sex=D.Sex AND E.Fname=D.Dependent_name;
      
  • EXISTS and NOT EXISTS functions: Boolean functions returning TRUE or FALSE; typically used with correlated nested queries to check if the result of a nested query is empty or not. The NOT EXISTS function is typically used in conditions where a query needs to check whether a result does not exist.
    • Example use of EXISTS:
      SELECT Fname, Lname
      FROM Employee
      WHERE EXISTS (SELECT * FROM DEPENDENT WHERE Ssn= Essn)
      AND EXISTS (SELECT * FROM Department WHERE Ssn= Mgr_Ssn);
      

Aggregate Functions

  • Summarize information from multiple tuples into a single tuple
  • COUNT, SUM, MAX, MIN, AVG are built-in functions;
    • Example Syntax:
      SELECT SUM(Salary), MAX (Salary), MIN (Salary), AVG (Salary) FROM EMPLOYEE;
      

Grouping: The GROUP BY Clause

  • Partitions the relation into subsets of tuples based on grouping attributes.
  • Functions are applied to each group independently.
  • The grouping attribute must appear in SELECT clause
    • Example Syntax:
      SELECT Dno, COUNT (*), AVG (Salary) FROM EMPLOYEE GROUP BY Dno;
      
  • GROUP BY can be used with joins
    • Example Syntax (with join):
      SELECT Pnumber, Pname, COUNT (*) FROM PROJECT, WORKS_ON
      WHERE Pnumber=Pno GROUP BY Pnumber, Pname;        
      

The GROUP BY and HAVING Clauses

  • HAVING clause filters groups defined by GROUP BY clause.
  • Condition is applied to entire groups.
  • Syntax includes GROUP BY and HAVING clauses -Example Syntax: sql SELECT Pnumber, Pname, COUNT (*) as Ccol FROM PROJECT, WORKS_ON WHERE Pnumber=Pno GROUP BY Pnumber, Pname HAVING Ccol > 2;

Use of Case

  • Used to assign different values based on conditions in SQL queries
  • Example Syntax:
    UPDATE EMPLOYEE
    SET Salary =
    CASE
    WHEN Dno = 5 THEN Salary + 2000
    WHEN Dno = 4 THEN Salary + 1500
    WHEN Dno = 1 THEN Salary + 3000
    

Introduction to Triggers in SQL

  • CREATE TRIGGER statements monitor the database
  • Triggers have three components (event, condition, action)

Use of Triggers

  • Example trigger to check salary before insert or update
CREATE TRIGGER SALARY_VIOLATION
BEFORE INSERT OR UPDATE OF Salary, Supervisor_ssn ON
EMPLOYEE
FOR EACH ROW WHEN (NEW.SALARY > ( SELECT Salary
FROM EMPLOYEE WHERE Ssn = NEW. Supervisor_Ssn))
INFORM_SUPERVISOR (NEW.Supervisor.Ssn, New.Ssn)

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Description

This quiz covers the concepts from Lecture 5, focusing on complex SQL retrieval queries, triggers, and views. It explores nested queries, their syntax, and how to effectively use them in SQL. Enhance your understanding of SQL by testing your knowledge on these advanced topics.

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