Why table design affects performance in MySQL - Quick Recap

Recall & Review

beginner

What is the impact of choosing appropriate data types in table design?

Choosing the right data types saves storage space and speeds up data retrieval because smaller data uses less memory and disk space, making queries faster.

beginner

How does indexing affect table performance?

Indexes help the database find data quickly without scanning the whole table, improving read speed. But too many indexes can slow down writes because indexes need updating.

intermediate

Why should tables be normalized in database design?

Normalization reduces data duplication, which saves space and avoids inconsistencies. This makes updates faster and queries more efficient.

intermediate

What happens if a table has too many columns or very wide rows?

Tables with many columns or large data in each row can slow down queries because more data must be read and processed, increasing input/output operations.

beginner

How does choosing the right primary key improve performance?

A good primary key uniquely identifies rows and is small and stable. This helps the database organize data efficiently and speeds up lookups and joins.

Which of the following helps speed up data retrieval in a table?

A Adding indexes on frequently searched columns

B Using very large text fields for all columns

C Duplicating data in multiple tables

D Avoiding primary keys

Indexes allow the database to find data faster without scanning the entire table.

What is a downside of having too many indexes on a table?

A More storage space saved

B Faster query performance

C Slower data insertion and updates

D No effect on performance

Each index must be updated when data changes, which slows down insert and update operations.

Why is normalization important for performance?

A It increases the number of columns

B It reduces data duplication and improves update speed

C It duplicates data for faster reads

D It removes all indexes

Normalization organizes data to avoid duplication, saving space and making updates more efficient.

What effect does using large data types unnecessarily have on performance?

A Improves write speed

B Speeds up queries by using more space

C No effect on performance

D Slows down queries due to more data to read

Larger data types increase storage and I/O, slowing down data access.

What makes a good primary key for performance?

A Small, unique, and stable values

B Large text fields

C Values that change often

D Duplicate values

A small and unique primary key helps the database organize and find data efficiently.

Explain how table design choices like data types, indexing, and normalization affect database performance.

Think about how the database stores and finds data.

Describe the consequences of poor table design on query speed and storage.

Consider what happens when the database reads or writes a lot of unnecessary data.