What are the different data types used in schema design?
An example of an AI chatbot conversation about data types in schema design.
What are the different data types used in schema design?
In schema design, common data types include integers, strings, booleans, dates, and floats. Each serves a specific purpose.
Can you explain when to use each data type?
Sure! Use integers for whole numbers, strings for text, booleans for true/false values, dates for time-related data, and floats for decimal numbers.
What about complex data types?
Complex data types like arrays and objects are used for storing collections of values or structured data, allowing for more flexibility.
How do these data types affect database performance?
Data types can significantly impact performance; for example, using the right type can optimize storage and improve query speed.
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