Interview Questions and Answers on MySQL Database
Master Interview Questions and Answers on MySQL Database covering core database concepts, queries, indexing, optimization, and more for database roles.
1. What is MySQL?
Answer: MySQL is an open-source relational database management system (RDBMS) that uses SQL (Structured Query Language) to interact with data in a database. MySQL is widely used for web applications and online data storage due to its reliability, efficiency, and flexibility.
2. What are the key features of MySQL?
Answer: Some key features of MySQL include:
- High Performance: Optimized for web applications.
- Scalability: Can handle large amounts of data.
- Security: Strong data protection with various authentication methods.
- Open Source and Free: Accessible to many developers worldwide.
- Cross-Platform Support: Available on Windows, Linux, macOS, etc.
- Replication and Backup: Supports master-slave replication for better fault tolerance and backup management.
3. Explain the difference between MySQL and SQL.
Answer: SQL is a language used to interact with and manage relational databases, while MySQL is an RDBMS that uses SQL. SQL is the syntax or command language, and MySQL is the software that executes SQL commands.
Intermediate Questions and Answers
4. What are the primary keys and foreign keys in MySQL?
Answer:
- Primary Key: A unique identifier for each record in a table. It ensures that no duplicate values exist for that column and that the value is not null.
- Foreign Key: A field in one table that uniquely identifies a row of another table, creating a relationship between the two tables. Foreign keys enforce referential integrity.
5. How do you create a new database and table in MySQL?
Answer:
sql
Copy code
CREATE DATABASE my_database;
USE my_database;
CREATE TABLE my_table (
id INT PRIMARY KEY,
name VARCHAR(100),
age INT
);
- This creates a database named my_database and a table named my_table with three columns: id, name, and age.
6. What is Normalization?
Answer: Normalization is the process of organizing data in a database to reduce redundancy and improve data integrity. It involves dividing large tables into smaller ones and defining relationships between them. Normalization levels (normal forms) range from 1NF to 5NF, with each form aiming to improve database efficiency and maintainability.
7. What are the different types of JOINs in MySQL?
Answer: MySQL supports several types of JOINs:
- INNER JOIN: Returns records with matching values in both tables.
- LEFT JOIN (or LEFT OUTER JOIN): Returns all records from the left table and matched records from the right table.
- RIGHT JOIN (or RIGHT OUTER JOIN): Returns all records from the right table and matches records from the left table.
- FULL JOIN (or FULL OUTER JOIN): Returns records when there is a match in one of the tables. (Not directly supported in MySQL but can be achieved with UNION.)
Advanced Questions and Answers
8. What are indexes in MySQL, and why are they important?
Answer: Indexes are data structures that improve the speed of data retrieval operations on a database table. They allow the database to find and retrieve specific rows much faster than searching sequentially. However, indexes also consume additional storage and can slow down write operations.
9. Explain ACID properties in the context of MySQL.
Answer: ACID properties ensure the reliability of database transactions:
- Atomicity: Each transaction is all-or-nothing.
- Consistency: Data moves from one valid state to another.
- Isolation: Concurrent transactions do not interfere with each other.
- Durability: Once a transaction is committed, it will remain so even in the event of a system failure.
10. What is a stored procedure, and how is it different from a function?
Answer:
- A stored procedure is a set of SQL statements that can be saved and reused. It can perform complex operations, including modifying the database state, and may or may not return a value.
- A function in SQL is a routine that returns a value and can only perform read-only operations. It’s generally used for calculations or returning a value based on parameters.
11. How do you handle performance tuning in MySQL?
Answer: Performance tuning in MySQL can involve several techniques:
- Index Optimization: Create indexes on columns used in WHERE, JOIN, and ORDER BY clauses.
- Query Optimization: Use efficient queries, avoid SELECT *, use joins appropriately.
- Database Schema Optimization: Normalize tables, but not overly.
- Caching: Use caching mechanisms like the Query Cache and external caches (e.g., Memcached).
- Configuration Tuning: Adjust MySQL server parameters like buffer sizes and cache settings.
12. What is the difference between DELETE, TRUNCATE, and DROP?
Answer:
- DELETE: Deletes specific rows from a table based on a condition and can be rolled back.
- TRUNCATE: Deletes all rows from a table without logging individual row deletions. It cannot be rolled back (except in a transaction) and resets auto-increment counters.
- DROP: Deletes the entire table structure and data. It cannot be rolled back, and the table is permanently removed from the database.
13. What are the different types of NoSQL databases?
Answer:
- Document-Oriented: Stores data as JSON-like documents (e.g., MongoDB, Couchbase).
- Key-Value Stores: Uses a simple key-value pair structure (e.g., Redis, DynamoDB).
- Column-Family Stores: Uses tables but stores data in columns rather than rows (e.g., Cassandra, HBase).
- Graph Databases: Stores data as nodes and relationships, useful for network-like structures (e.g., Neo4j, ArangoDB).
14. What is database sharding?
Answer: Sharding is a database partitioning technique where data is distributed across multiple database servers. Each server holds only part of the data, increasing scalability and performance. It’s commonly used in NoSQL systems and distributed databases to handle high data volumes.
15. How does database replication work?
Answer: Database replication is the process of copying data from one database server to another, ensuring that multiple servers hold the same data. Replication can be synchronous (data written to all replicas simultaneously) or asynchronous (data written to replicas at different times). It’s commonly used for load balancing, data redundancy, and disaster recovery.
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