SQL Views: Use Cases and Performance Tips

๐Ÿ’ก Concept Name

SQL Views are virtual tables that store reusable SELECT query logic, allowing you to simplify and encapsulate complex SQL operations.

๐Ÿ“˜ Quick Intro

A view in SQL is not a physical table, but rather a named query stored on the server. It can be used just like a table in SELECT statements, but it fetches fresh results every time it is queried.

๐Ÿง  Analogy / Short Story

Imagine a view as a custom-made window in a building. It doesnโ€™t store the scenery itself (data), but it gives you a curated perspective of it. You can choose what you see (columns, filters) and block out what you donโ€™t want. SQL Views let you see just the useful parts of your data without duplicating the entire dataset.

๐Ÿ”ง Technical Explanation

  • ๐ŸชŸ A view is defined with the CREATE VIEW statement.
  • ๐Ÿ“ฅ It stores a SELECT query and does not hold actual data unless indexed (materialized view).
  • ๐Ÿ” Views improve security by exposing only necessary data to users.
  • โ™ป๏ธ Views can be queried, joined, filtered, and even updated (if the view allows).
  • โš™๏ธ Performance depends on the underlying query, indexes, and how the view is used.

๐ŸŽฏ Purpose & Use Case

  • โœ… Hide complex joins and subqueries for simplified access.
  • โœ… Limit data access to specific columns or rows for security.
  • โœ… Create a layer of abstraction between application and schema.
  • โœ… Reuse query logic across multiple reports or modules.

๐Ÿ’ป Real Code Example

-- Sample View: Top-selling products
CREATE VIEW TopSellingProducts AS
SELECT ProductName, SUM(Quantity) AS TotalSold
FROM Sales
GROUP BY ProductName
HAVING SUM(Quantity) > 100;

-- Using the view
SELECT * FROM TopSellingProducts
WHERE ProductName LIKE '%Book%';

-- Dropping the view
DROP VIEW TopSellingProducts;

โ“ Interview Q&A

Q1: What is a view in SQL?
A: A view is a virtual table based on the result of a SELECT query.

Q2: Does a view store data?
A: No, it stores query logic. Results are fetched fresh on each call unless itโ€™s a materialized view.

Q3: Can we update data using a view?
A: Yes, if the view is updatable and based on a single table without aggregates or joins.

Q4: What is the main benefit of using a view?
A: To simplify access to complex data and enforce security.

Q5: Are indexes stored on views?
A: Not on normal views, but indexed (materialized) views can store data and indexes.

Q6: Can a view be parameterized?
A: No, but you can filter it with WHERE conditions during selection.

Q7: How do views affect performance?
A: They may or may not improve performanceโ€”it depends on query complexity and indexes.

Q8: Can views include joins?
A: Yes, you can define a view over any valid SELECT, including joins and subqueries.

Q9: How to remove a view?
A: Use DROP VIEW ViewName.

Q10: Can views be nested?
A: Yes, one view can be based on another.

๐Ÿ“ MCQs

Q1. What does a SQL view represent?

  • A stored procedure
  • A backup table
  • A virtual table based on a SELECT query
  • An index

Q2. Which keyword is used to create a view?

  • NEW VIEW
  • MAKE VIEW
  • CREATE VIEW
  • SET VIEW

Q3. Does a normal SQL view store data?

  • Yes
  • No
  • Sometimes
  • Only with index

Q4. Which clause removes a view?

  • DELETE VIEW
  • REMOVE VIEW
  • DROP VIEW
  • TRUNCATE VIEW

Q5. What can’t a non-updatable view include?

  • SELECT *
  • WHERE clause
  • Primary key
  • Aggregate functions or joins

Q6. Can views be queried like tables?

  • No
  • Yes
  • Only read-only
  • Only with JOIN

Q7. What improves performance for complex views?

  • Using aliases
  • Nested views
  • Indexing base tables
  • Using DISTINCT

Q8. What’s a common use of views?

  • Store passwords
  • Export CSV
  • Simplify query logic
  • Optimize JOIN speed

Q9. Do views support filtering?

  • No
  • Yes, using WHERE
  • Only in SELECT
  • Only if indexed

Q10. Can views help with data security?

  • No
  • Yes, by limiting column access
  • Only with triggers
  • Only in MySQL

๐Ÿ’ก Bonus Insight

When used well, views abstract data layers and improve maintainability. However, be cautious with performanceโ€”complex views over joins or nested queries can lead to slow execution if base tables aren't indexed or optimized.

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