Top SQL Interview Questions and Answers for 2026

SQL remains one of the most critical skills for tech professionals today. Whether you're a beginner preparing for your first technical interview or an experienced database professional looking to refresh your knowledge, mastering sql interview questions is essential for career advancement. In this comprehensive guide, we'll cover 75 of the most common SQL interview questions and answers, organized by category to help you focus on specific areas that need strengthening.

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SQL Fundamentals (Basic Level Questions)

1. What is SQL and why is it important?

SQL (Structured Query Language) is a standardized programming language used for managing relational databases and performing various operations on the data they contain. It's important because it allows users to access, manipulate, and retrieve data from databases efficiently. SQL is the foundation for most data operations in business applications.

2. What is the difference between SQL and MySQL?

SQL is a language used to communicate with databases, while MySQL is a specific database management system (DBMS) that uses SQL. Think of SQL as the language and MySQL as a particular platform that implements that language, similar to how HTML is a language and Chrome is a platform that interprets it.

3. What are the main categories of SQL commands?

SQL commands are divided into several categories:

• DDL (Data Definition Language): Commands like CREATE, ALTER, DROP, TRUNCATE that define database structure
• DML (Data Manipulation Language): Commands like SELECT, INSERT, UPDATE, DELETE that manipulate data
• DCL (Data Control Language): Commands like GRANT, REVOKE that control access to data
• TCL (Transaction Control Language): Commands like COMMIT, ROLLBACK that manage transactions

4. What is a primary key in SQL?

A primary key is a column or combination of columns that uniquely identifies each row in a table. It must contain unique values and cannot contain NULL values. Primary keys enforce entity integrity and are essential for establishing relationships between tables.

5. What is a foreign key in SQL?

A foreign key is a column or group of columns in a table that references the primary key of another table. It creates a link between two tables, enforcing referential integrity and establishing relationships between related data.

6. What are constraints in SQL?

Constraints are rules enforced on data columns in tables to ensure data integrity. Common constraints include:

• NOT NULL: Ensures a column cannot have NULL values
• UNIQUE: Ensures all values in a column are different
• PRIMARY KEY: Uniquely identifies each row
• FOREIGN KEY: Links data between tables
• CHECK: Ensures values in a column meet specific conditions
• DEFAULT: Sets a default value for a column

7. Explain the basic SELECT statement syntax.

The basic SELECT statement retrieves data from a database:

• SELECT specifies which columns to retrieve
• FROM specifies the table
• WHERE filters rows based on conditions
• ORDER BY sorts the result set

8. What is the difference between DELETE and TRUNCATE commands?

• DELETE removes specific rows based on a condition and can be rolled back (it's a DML command)
• TRUNCATE removes all rows from a table without logging individual row deletions (it's a DDL command), making it faster but not rollback-capable in most databases

9. How do you insert data into a table?

Using the INSERT INTO statement:

10. How do you update data in a table?

Using the UPDATE statement:

11. What is the WHERE clause used for?

The WHERE clause filters records based on specified conditions, returning only the rows that match those conditions. It's used with SELECT, UPDATE, and DELETE statements.

12. What is the difference between CHAR and VARCHAR data types?

• CHAR is fixed-length: if you define CHAR(10), it always uses 10 bytes of storage regardless of the string length
• VARCHAR is variable-length: VARCHAR(10) uses only the space needed for the actual string plus some overhead

13. What is a NULL value in SQL?

NULL represents a missing or unknown value. It's not the same as zero, an empty string, or a space. NULL values require special handling in queries using IS NULL or IS NOT NULL operators.

14. How do you create a table in SQL?

Using the CREATE TABLE statement:

15. What is the difference between DROP and TRUNCATE?

• DROP completely removes a table structure from the database
• TRUNCATE removes all rows from a table but keeps the table structure intact

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SQL Query Components and Data Manipulation

16. What is the difference between WHERE and HAVING clauses?

• WHERE filters rows before grouping in a GROUP BY clause
• HAVING filters groups after the GROUP BY clause has been applied
• WHERE works on individual rows, while HAVING works on grouped rows

17. Explain the different types of JOINs in SQL.

• INNER JOIN: Returns records with matching values in both tables
• LEFT JOIN: Returns all records from the left table and matched records from the right table
• RIGHT JOIN: Returns all records from the right table and matched records from the left table
• FULL JOIN: Returns all records when there's a match in either table
• SELF JOIN: Joins a table to itself

18. What are aggregate functions in SQL?

Aggregate functions perform calculations on a set of values and return a single value. Common aggregate functions include:

• COUNT(): Counts the number of rows
• SUM(): Calculates the sum of values
• AVG(): Calculates the average of values
• MIN(): Finds the minimum value
• MAX(): Finds the maximum value

19. How does the GROUP BY clause work?

GROUP BY groups rows that have the same values in specified columns into summary rows. It's often used with aggregate functions to perform calculations on each group rather than the entire result set.

20. What is the ORDER BY clause used for?

ORDER BY sorts the result set by one or more columns, either in ascending (ASC, the default) or descending (DESC) order.

21. What is a subquery in SQL?

A subquery is a query nested inside another query. It can be used in SELECT, INSERT, UPDATE, or DELETE statements, typically in the WHERE clause. Subqueries can return single values, lists, or result sets that the outer query can use.

22. What is the difference between UNION and UNION ALL?

• UNION combines the results of two or more SELECT statements and removes duplicate rows
• UNION ALL combines the results without removing duplicates, making it faster when duplicates aren't a concern

23. How do you use the LIKE operator for pattern matching?

LIKE is used with the WHERE clause for pattern matching with wildcards:

• % represents zero or more characters
• _ represents a single character

24. What are Common Table Expressions (CTEs)?

CTEs provide a way to write auxiliary statements for use in a larger query. They're defined using the WITH clause and can make complex queries more readable and maintainable.

25. How do you use the CASE statement in SQL?

CASE provides conditional logic in SQL queries, similar to if-then-else statements in other programming languages:

26. What is the difference between INNER JOIN and LEFT JOIN?

• INNER JOIN returns only the rows where there's a match in both tables
• LEFT JOIN returns all rows from the left table and matching rows from the right table (with NULL values for non-matches)

27. How do you join three or more tables in SQL?

By chaining multiple JOIN clauses:

28. What are self-joins used for?

Self-joins are used when a table needs to be joined with itself, typically when a table contains hierarchical data or when rows in the same table are related to each other.

29. How do you use the COALESCE function?

COALESCE returns the first non-NULL expression in a list, useful for handling NULL values:

30. What is the difference between IN and EXISTS?

• IN compares a value to a list of specified values
• EXISTS checks whether a subquery returns any rows

IN is often better when the subquery result set is small, while EXISTS can be more efficient for large result sets.

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Database Design and Normalization

31. What is normalization in database design?

Normalization is the process of organizing data in a database to reduce redundancy and improve data integrity. It involves dividing large tables into smaller, related tables and defining relationships between them according to rules designed to protect the data and make the database more flexible.

32. Explain the First Normal Form (1NF).

A table is in First Normal Form if:

• It has no repeating groups or arrays
• All column values are atomic (indivisible)
• Each row is unique (typically ensured by a primary key)

Example violation: A "Phone_Numbers" column containing multiple phone numbers separated by commas.

33. Explain the Second Normal Form (2NF).

A table is in Second Normal Form if:

• It's already in 1NF
• All non-key attributes are fully functionally dependent on the entire primary key (not just part of it)

This is mainly relevant for tables with composite primary keys.

34. Explain the Third Normal Form (3NF).

A table is in Third Normal Form if:

• It's already in 2NF
• All non-key attributes are directly dependent on the primary key and not on other non-key attributes (no transitive dependencies)

Example violation: If a table has columns for ZIP code and City, where City depends on ZIP code rather than directly on the primary key.

35. What is Boyce-Codd Normal Form (BCNF)?

BCNF is a stricter version of 3NF. A table is in BCNF if for every functional dependency X → Y, X is a superkey (meaning X can uniquely identify all rows in the table).

36. What is denormalization and when would you use it?

Denormalization is the process of adding redundant data to tables to improve read performance. It's used when:

• Read performance is more critical than write performance
• Complex joins are slowing down queries
• The application is read-heavy with relatively few updates

37. What is an Entity-Relationship Diagram (ERD)?

An ERD is a visual representation of the data structure in a database. It shows entities (tables), attributes (columns), and relationships between entities, helping to design and understand database schemas.

38. Explain the different types of relationships in database design.

• One-to-One (1:1): Each record in Table A relates to exactly one record in Table B
• One-to-Many (1:N): Each record in Table A relates to multiple records in Table B
• Many-to-Many (M:N): Multiple records in Table A relate to multiple records in Table B (implemented using a junction table)

39. What is referential integrity?

Referential integrity ensures that relationships between tables remain consistent. It means that if a foreign key exists, it either refers to a valid primary key in the parent table or is NULL (if allowed).

40. How do you implement a Many-to-Many relationship in SQL?

Using a junction (or bridge) table that contains foreign keys to both related tables:

41. What is cardinality in database relationships?

Cardinality defines the numerical relationship between entities, specifying how many instances of one entity can be related to instances of another entity (one-to-one, one-to-many, many-to-many).

42. What is a composite key?

A composite key is a primary key composed of multiple columns that together uniquely identify each row in a table.

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Advanced SQL Features and Functions

43. What are window functions in SQL?

Window functions perform calculations across a set of table rows related to the current row, similar to aggregate functions but without grouping rows into a single output row. Common window functions include:

• ROW_NUMBER(): Assigns a unique number to each row
• RANK(): Assigns a rank with gaps for ties
• DENSE_RANK(): Assigns a rank without gaps for ties
• NTILE(): Divides rows into specified number of groups

44. How do LAG and LEAD functions work?

• LAG accesses data from previous rows in the result set
• LEAD accesses data from subsequent rows

45. How do you write a recursive query in SQL?

Using Common Table Expressions (CTEs) with a recursive member:

46. What is a PIVOT operation in SQL?

PIVOT transforms rows into columns, converting unique values from one column into multiple columns in the output:

47. What are JSON functions in SQL?

Modern SQL databases provide functions for working with JSON data, allowing you to:

• Extract values from JSON documents
• Check if a path exists in JSON
• Modify JSON documents
• Convert between JSON and relational formats

48. How do you handle date and time operations in SQL?

SQL provides various functions for date/time manipulation:

49. What are stored procedures and when would you use them?

Stored procedures are precompiled collections of SQL statements stored in the database that can be executed as a single unit. They're useful for:

• Encapsulating complex business logic
• Improving security by controlling access to data
• Reducing network traffic by executing multiple statements at once
• Enabling code reuse

50. What are triggers in SQL?

Triggers are special stored procedures that automatically execute when specific events occur in the database, such as INSERT, UPDATE, or DELETE operations. They're useful for:

• Enforcing complex business rules
• Auditing changes to data
• Maintaining derived data automatically

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Database Performance Optimization

51. What are indexes in SQL and how do they improve performance?

Indexes are database structures that improve the speed of data retrieval operations by providing quick access paths to data. They work similar to a book's index, allowing the database to find data without scanning the entire table.

52. What is the difference between clustered and non-clustered indexes?

• Clustered indexes determine the physical order of data in a table. A table can have only one clustered index.
• Non-clustered indexes create a separate structure that points to the data. A table can have multiple non-clustered indexes.

Clustered indexes are typically faster for range queries, while non-clustered indexes are better for selective queries.

53. What is query optimization?

Query optimization is the process of improving SQL query performance by:

• Rewriting queries to be more efficient
• Adding appropriate indexes
• Restructuring database schema
• Analyzing and improving execution plans

54. How do you analyze query performance in SQL?

Using EXPLAIN or EXPLAIN PLAN statements to view the execution plan:

55. What is database partitioning?

Partitioning divides large tables into smaller, more manageable pieces called partitions, while still being treated as a single logical table. Types include:

• Horizontal partitioning (sharding): Splits rows across multiple tables
• Vertical partitioning: Splits columns across multiple tables
• Range partitioning: Partitions based on ranges of values
• List partitioning: Partitions based on lists of discrete values
• Hash partitioning: Distributes rows based on a hash function

56. What are materialized views?

Materialized views store the results of a query physically, unlike regular views which are virtual. They improve performance for complex queries by pre-computing and storing results, but require refreshing when underlying data changes.

57. How can you optimize JOIN operations?

• Join on indexed columns
• Use appropriate join types (INNER vs. OUTER)
• Filter data before joining (in the WHERE clause)
• Consider denormalizing for frequently joined tables
• Use covering indexes that include all columns referenced in the query

58. What is query caching?

Query caching stores the results of frequently executed queries to avoid repeated computation. When the same query is executed again, results can be retrieved from the cache instead of re-executing the query.

59. How do you handle large result sets efficiently?

• Use pagination (LIMIT/OFFSET or ROW_NUMBER)
• Stream results rather than loading everything into memory
• Filter data as much as possible before retrieving
• Consider asynchronous processing for very large datasets
• Use cursors for row-by-row processing when appropriate

60. What is the impact of NULL values on index performance?

NULL values can affect index performance differently depending on the database system:

• Some systems don't include NULL values in indexes
• Others require special handling for NULL values
• Composite indexes may not be used if any component column contains NULL

In general, avoiding NULL values in indexed columns can improve performance.

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Transaction Management and ACID Properties

61. What are ACID properties in database transactions?

ACID is an acronym representing the four key properties that guarantee reliable processing of database transactions:

• Atomicity: A transaction is treated as a single, indivisible unit that either completes entirely or fails entirely
• Consistency: A transaction brings the database from one valid state to another
• Isolation: Concurrent transactions execute as if they were sequential
• Durability: Once a transaction is committed, it remains so even in the event of power loss or crashes

62. Explain transaction isolation levels.

Transaction isolation levels determine how transaction integrity is visible to other users and systems:

• Read Uncommitted: Allows dirty reads (seeing uncommitted changes)
• Read Committed: Prevents dirty reads but allows non-repeatable reads
• Repeatable Read: Prevents dirty and non-repeatable reads but allows phantom reads
• Serializable: Prevents all concurrency issues but with the lowest performance

63. What is a deadlock and how can it be prevented?

A deadlock occurs when two or more transactions are waiting for each other to release locks, resulting in a standstill. Prevention strategies include:

• Accessing tables in the same order in all transactions
• Keeping transactions short and simple
• Using appropriate isolation levels
• Setting deadlock detection timeouts
• Using optimistic concurrency control where appropriate

64. What is the difference between pessimistic and optimistic locking?

• Pessimistic locking locks resources when they're first accessed and holds locks until the transaction completes, preventing other transactions from modifying the data
• Optimistic locking allows multiple transactions to proceed without locking, but checks at commit time if data has been modified by another transaction

65. How do savepoints work in transactions?

Savepoints mark a point within a transaction to which you can later roll back without affecting the entire transaction:

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PostgreSQL-Specific Interview Questions

66. What makes PostgreSQL different from other database systems?

PostgreSQL offers several distinctive features:

• Advanced data types (arrays, JSON, hstore, geometric types)
• Table inheritance
• Sophisticated locking mechanism
• Multi-Version Concurrency Control (MVCC)
• Extensibility through custom functions, operators, and data types
• Support for foreign data wrappers
• Robust security features
• Strong standards compliance

67. Explain PostgreSQL's MVCC (Multi-Version Concurrency Control).

MVCC allows PostgreSQL to handle concurrent access to the database without using read locks. Instead of overwriting data directly, it creates new versions of rows when they're modified. This allows:

• Readers to see a consistent snapshot of data without being blocked by writers
• Writers to modify data without blocking readers
• Better scalability for read-heavy workloads

68. What is Write-Ahead Logging (WAL) in PostgreSQL?

WAL is PostgreSQL's mechanism for ensuring data integrity. Changes are first recorded in the WAL before being applied to the actual data files. This provides:

• Crash recovery: After a crash, the database can be restored to a consistent state by replaying WAL records
• Point-in-time recovery: The database can be restored to any point in time
• Replication: WAL records can be sent to standby servers to keep them in sync

69. How does PostgreSQL handle full-text search?

PostgreSQL provides sophisticated full-text search capabilities:

• Text search configurations for different languages
• Ranking of search results
• Phrase searching
• Stemming and stop words
• Indexing for performance

70. What are PostgreSQL extensions and how do they work?

Extensions are packages that add functionality to PostgreSQL without modifying core code. Popular extensions include:

• PostGIS for spatial data
• pgcrypto for cryptographic functions
• hstore for key-value pairs
• pg_stat_statements for query performance monitoring

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Real-World SQL Problem-Solving Questions

71. How would you find duplicate records in a table?

Using GROUP BY with HAVING:

72. How would you calculate running totals in SQL?

Using window functions:

73. How would you find gaps in sequential data?

Using self-joins or window functions:

74. How would you pivot data from rows to columns dynamically?

Using dynamic SQL or CROSSTAB functions:

75. How would you implement a hierarchical query to show an organizational structure?

Using recursive CTEs:

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