#SHORTS WHY UUID IS NOT GOOD FOR DATABASE INDEX - REASONS | UUID DB INDEX DISADVANTAGE| InterviewDOT

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#SHORTS WHY UUID IS NOT GOOD FOR DATABASE INDEX - REASONS | UUID DB INDEX DISADVANTAGE| InterviewDOT

UUIDs (Universally Unique Identifiers) are not necessarily "bad" for database indexing, but they do have certain drawbacks that make them less efficient for certain use cases compared to other types of identifiers, such as auto-incrementing integers. Here are some reasons why UUIDs may not always be the best choice for database indexes:

1. Size: UUIDs are 128-bit values, typically represented as a string of 36 characters (e.g., "550e8400-e29b-41d4-a716-446655440000"). Storing larger values in the index consumes more space compared to smaller integer-based identifiers.

2. Performance: Due to their larger size, indexing and searching on UUIDs can be slower than on smaller data types like integers. Bigger indexes can lead to increased disk and memory usage, potentially impacting query performance.

3. Fragmentation: Since UUIDs are not sequential, they do not maintain any inherent order like auto-incrementing integers. This can lead to index fragmentation, which makes inserting new records more expensive and may reduce cache efficiency.

4. Increased I/O: Larger indexes result in more I/O operations, especially when dealing with larger datasets. This can affect query response times and overall database performance.

5. Human-readability: While UUIDs have the advantage of being globally unique, their human-readable format makes them less convenient for manual lookup and debugging compared to simpler integer-based identifiers.

6. Replication and Clustering: In distributed database environments or when using database clustering, UUIDs may cause more data shuffling and synchronization overhead compared to integer-based identifiers.

However, it's important to note that UUIDs have their own advantages, especially when dealing with distributed systems, sharded databases, or scenarios where uniqueness across multiple systems is crucial. In such cases, UUIDs can be an appropriate choice despite the trade-offs.

The decision of whether to use UUIDs or other identifier types for database indexing depends on the specific requirements of your application, the database system being used, and the overall architecture of the system. For many traditional applications with single-node databases, auto-incrementing integers remain a popular choice for primary keys and indexing due to their simplicity and efficiency.

Certainly! Here are the top 5 clean code practices in short points:

1. **Meaningful Names:** Use clear and descriptive names for variables, functions, and classes that convey their purpose.

2. **Simplify and Refactor:** Keep code simple, avoid duplication, and break down complex logic into smaller, focused functions or methods.

3. **Consistent Formatting:** Maintain a consistent and readable code formatting style throughout the project.

4. **Use Comments Sparingly:** Write self-explanatory code, and use comments only when necessary to clarify complex sections.

5. **Single Responsibility Principle:** Ensure that functions and classes have a single, well-defined purpose, following the principle of "do one thing and do it well."

Following these clean code practices will result in code that is easier to understand, modify, and maintain, leading to more efficient collaboration and fewer bugs in your projects.