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Explain the different types of relationships between tables (e.g., one-to-one, one-to-many, many-to-many).

The article discusses three types of table relationships in databases: one-to-one, one-to-many, and many-to-many, detailing their implementation and advantages.

Mar 31, 2025 am 10:51 AM

How do you design a database schema for a specific application?

The article discusses designing a database schema for applications, focusing on steps like requirements gathering, conceptual and logical design, normalization, and optimization. Key considerations include data integrity, scalability, performance, an

Mar 31, 2025 am 10:50 AM

What are foreign keys? How do they enforce referential integrity?

Foreign keys link tables in relational databases, enforcing referential integrity by ensuring consistent relationships. They improve data organization but misuse can cause data inconsistency and performance issues. Foreign keys may be omitted in NoSQ

Mar 31, 2025 am 10:49 AM

How do you choose a primary key for your tables?

The article discusses selecting primary keys in database design, focusing on ensuring uniqueness, stability, and performance. It outlines best practices, performance impacts, and common mistakes to avoid.

Mar 31, 2025 am 10:48 AM

How do you design indexes to optimize query performance?

The article discusses strategies for designing indexes to optimize database query performance, including understanding query patterns, choosing appropriate index types, and balancing index usage.

Mar 31, 2025 am 10:47 AM

How do you choose appropriate data types for your columns?

Article discusses choosing appropriate data types for database columns to optimize performance, storage, and functionality. Main issue is the importance of correct data type selection for efficient database design.

Mar 31, 2025 am 10:46 AM

What is denormalization? When is it appropriate to denormalize a database?

Denormalization enhances database query performance by adding redundant data, but it risks data integrity and consistency. It's recommended for read-heavy and real-time applications.

Mar 31, 2025 am 10:45 AM

What are the drawbacks of over-normalization?

Over-normalization in databases increases complexity, degrades performance, risks data integrity, and hinders scalability, making design and maintenance challenging.

Mar 31, 2025 am 10:44 AM

What are the benefits of database normalization?

The article discusses the benefits and drawbacks of database normalization, focusing on data integrity, performance, and maintenance. Over-normalization can lead to query complexity and performance issues.

Mar 31, 2025 am 10:43 AM

Explain the different database normalization forms (1NF, 2NF, 3NF, BCNF).

Article discusses database normalization forms (1NF, 2NF, 3NF, BCNF) to reduce redundancy and improve data integrity. Main issue: balancing normalization benefits with performance impacts.

Mar 27, 2025 pm 06:11 PM

What is deadlock? How can you detect and prevent deadlocks in MySQL?

The article discusses deadlocks in MySQL, detailing their detection, prevention, causes, and resolution. Main issues include lock contention and long-running transactions. Strategies to minimize deadlocks involve consistent lock ordering and short tr

Mar 27, 2025 pm 06:10 PM

How does InnoDB handle locking?

InnoDB uses row-level locking, shared/exclusive locks, and intention locks to manage concurrent data access, enhancing performance and consistency in MySQL databases.

Mar 27, 2025 pm 06:09 PM

Explain the different types of locks in MySQL (e.g., shared locks, exclusive locks, row-level locks, table-level locks).

The article discusses MySQL lock types: shared, exclusive, row-level, and table-level locks. It explains how shared locks enhance concurrent transaction performance, while exclusive locks may reduce concurrency and cause issues like deadlocks. Row-le

Mar 27, 2025 pm 06:08 PM

How do transaction isolation levels prevent these concurrency issues?

Article discusses transaction isolation levels in databases, focusing on preventing concurrency issues like dirty reads, non-repeatable reads, and phantom reads. It explains different isolation levels and their impact on concurrency and performance,

Mar 27, 2025 pm 06:05 PM