SQL Advanced Queries

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Questions and Answers

What is the primary purpose of a correlated nested query in SQL?

  • To create new tables by combining data from different queries
  • To simplify complex queries by breaking them into smaller parts
  • To evaluate a subquery for each row processed by the outer query (correct)
  • To retrieve distinct rows from multiple tables in a single operation

When using the EXISTS function in SQL, what does it check for?

  • The uniqueness of results across multiple tables
  • The specific data type of the return values in a query
  • The presence of at least one row returned by a nested query (correct)
  • Whether any duplicate tuples exist in the result set

How can ambiguities be avoided in SQL nested queries according to best practices?

  • By creating tuple variables for all referenced tables (correct)
  • By limiting the number of rows returned from each query
  • By employing aggregate functions in the outer query
  • By using more complex SQL functions

What is the effect of the SQL function UNIQUE(Q)?

<p>It returns TRUE if the result of query Q contains no duplicate tuples (C)</p> Signup and view all the answers

What does SQL use to evaluate comparisons involving NULL values?

<p>Three-valued logic (D)</p> Signup and view all the answers

In the context of SQL queries, what does the term 'tuples' refer to?

<p>A single row of data that consists of fields from various tables (A)</p> Signup and view all the answers

Which of the following statements is true regarding NULL values in SQL?

<p>NULL represents an unavailable or withheld value. (D)</p> Signup and view all the answers

Which SQL query structure allows for comparing a value with a set or multiset of values?

<p>IN operator (A)</p> Signup and view all the answers

Which SQL clause is commonly used to select distinct values from a column?

<p>SELECT DISTINCT (B)</p> Signup and view all the answers

What is the significance of placing tuples within parentheses in SQL?

<p>It denotes a tuple of values for comparisons in queries (B)</p> Signup and view all the answers

When specifying constraints in SQL, which method can be used to ensure certain conditions are met?

<p>Assertions (C)</p> Signup and view all the answers

What is a characteristic of outer joins in SQL?

<p>It can return rows even if no match is found. (A)</p> Signup and view all the answers

What is a common use case for referencing nested queries in SQL?

<p>To retrieve data fulfilling specific conditions from related tables (B)</p> Signup and view all the answers

How can an attribute value be checked for NULL in SQL?

<p>Using the IS or IS NOT condition (C)</p> Signup and view all the answers

What type of SQL retrieval features allow for complex queries beyond basic selection?

<p>Nested queries and outer joins (C)</p> Signup and view all the answers

What is one purpose of using views in SQL?

<p>To create more complex queries with simpler syntax (D)</p> Signup and view all the answers

What will the following SQL query return? 'SELECT fname, lname FROM employee WHERE NOT EXISTS (SELECT * FROM dependent WHERE ssn=essn);'

<p>Names of employees without dependencies. (C)</p> Signup and view all the answers

Which SQL clause is used to specify the attributes for grouping in a query?

<p>GROUP BY clause (C)</p> Signup and view all the answers

What is a key characteristic of the aggregate functions in SQL?

<p>They summarize information from multiple tuples into a single result. (B)</p> Signup and view all the answers

What is the purpose of the HAVING clause in an SQL query?

<p>To filter results after aggregation has been applied. (C)</p> Signup and view all the answers

When utilizing the GROUP BY clause, what happens to the records with NULL values in the grouping attribute?

<p>They create a separate group. (D)</p> Signup and view all the answers

What is the effect of applying aggregate functions to columns containing NULL values?

<p>NULL values are ignored in the aggregation. (C)</p> Signup and view all the answers

Which of the following SQL statements correctly finds the number of distinct salary values in a database?

<p>SELECT COUNT(DISTINCT salary) FROM employee; (B)</p> Signup and view all the answers

What does the EXISTS clause check for in SQL queries?

<p>The existence of any records satisfying certain conditions. (D)</p> Signup and view all the answers

What will be the result of the query 'select count(distinct salary) from employee'?

<p>Total count of employees with unique salaries (A)</p> Signup and view all the answers

Which SQL query retrieves the names of employees with two or more dependents?

<p>select lname, fname from employee where (select count(*) from dependent where ssn=essn) &gt;= 2 (A)</p> Signup and view all the answers

What does the query 'select count(*) from employee, department where Ssn=Mgr_ssn and dname='Research'' return?

<p>Count of managers in the Research department (A)</p> Signup and view all the answers

For the query 'select dno, count(*), avg(salary) from employee group by dno', what is returned?

<p>Total number of employees in each department and their average salary (D)</p> Signup and view all the answers

What is the effect of using 'distinct' in the statement 'select count(distinct salary) from employee'?

<p>It ensures that only unique salary values are counted (C)</p> Signup and view all the answers

When would you use 'having' in conjunction with 'group by' in SQL?

<p>To filter the grouped results based on aggregate functions (C)</p> Signup and view all the answers

What will the query 'select count(*) from employee' return if the employee table is empty?

<p>The value 0 (C)</p> Signup and view all the answers

Which query retrieves each project number, project name, and number of employees working on each project?

<p>select pno, pname, count(*) from project group by pno, pname (B)</p> Signup and view all the answers

What is the purpose of the GROUP BY clause in the provided SQL queries?

<p>To aggregate data based on specific columns. (D)</p> Signup and view all the answers

In the context of the SQL examples, what does the HAVING clause achieve?

<p>It allows filtering groups after aggregation has occurred. (A)</p> Signup and view all the answers

Which SQL statement accurately retrieves the sum, maximum, minimum, and average salary for employees in the Research department?

<p>SELECT SUM(salary), MAX(salary), MIN(salary), AVG(salary) FROM employee WHERE department='Research'; (D)</p> Signup and view all the answers

What is the result of the query that retrieves departments with more than five employees earning above $40,000?

<p>It will return the department number and the count of qualifying employees. (B)</p> Signup and view all the answers

Which condition will ensure that the SQL query returns projects with more than two employees working on them?

<p>HAVING COUNT(essn) &gt; 2; (D)</p> Signup and view all the answers

In the example queries, what is the significance of joining the employee, project, and works_on tables?

<p>To connect employee information with project participation. (A)</p> Signup and view all the answers

What SQL operation would you use if you needed to count the number of distinct projects an employee is part of?

<p>SELECT COUNT(DISTINCT pnumber) FROM works_on WHERE essn=employee_ssn; (A)</p> Signup and view all the answers

Which statement correctly captures the total number of employees from department 5 working on various projects?

<p>SELECT pnumber, pname, COUNT(*) FROM project, works_on WHERE pnumber=pno AND dno=5; (C)</p> Signup and view all the answers

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Study Notes

SQL Advanced Queries

  • SQL allows retrieval of data from a database using more advanced queries.
  • Nested Queries: These are complete SELECT statements within the WHERE clause of another query.
    • They are evaluated once for each tuple in the outer query.
    • Correlated Nested Queries: Their results depend on the values of the outer query.
  • Comparison operators:
    • IN: Allows comparison of a value with a set (or multiset) of values.
    • EXISTS: Used to check whether the result of a correlated nested query is empty.
    • UNIQUE: Checks if there are any duplicate tuples in the result of a query.
  • Tuple variables (aliases): Allow easier referencing of tables in queries and reduce ambiguity.
  • Set/Multiset Comparisons:
    • Used for comparing tuples or sets of values (e.g., checking for the existence of certain values in a set).
  • Grouping:
    • The GROUP BY clause groups tuples based on specified attributes.
    • The HAVING clause filters groups based on conditions applied to the summarized information.
  • Aggregate Functions:
    • These summarize information from multiple tuples into a single-tuple summary.
    • COUNT: Counts the number of tuples (or distinct values) in a set.
    • SUM: Adds up the values of a column.
    • MAX/MIN: Finds the maximum or minimum value in a column.
    • AVG: Calculates the average value of a column.
  • NULL values:
    • They are treated as unknown values.
    • They are considered unique (not equal to each other).
    • IS/IS NOT NULL is used to check for NULL values.
  • Three-valued logic: Used in SQL to handle NULL values:
    • TRUE
    • FALSE
    • UNKNOWN

Specifying Constraints and Actions

  • Assertions: Used to state conditions that must always be true for a database.
  • Triggers: Used to execute specific actions (e.g., update, insert, delete) when an event happens (e.g., data modification).

Views

  • Virtual tables: They are derived from existing tables via SQL queries.
  • Advantages:
    • Reduced complexity: Hide complexity of underlying tables.
    • Data security: Restrict access to specific data.
    • Data independence: Changes in underlying tables are not visible to users.

Schema Change Statements

  • CREATE TABLE: Define new tables.
  • **ALTER TABLE:**Modify existing tables, including adding/dropping columns, constraints, or triggers.
  • DROP TABLE: Deletes existing tables.
  • CREATE VIEW: Defines new views.
  • DROP VIEW: Deletes existing views.
  • CREATE INDEX: Adds an index (speeds up data retrieval).
  • DROP INDEX: Removes an index.
  • CREATE ASSERTION: Adds an assertion.
  • DROP ASSERTION: Removes an assertion.
  • CREATE TRIGGER: Adds a trigger.
  • DROP TRIGGER: Removes a trigger.

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