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Questions and Answers
What is the data type for the 'Name' column in the EMPLOYEE table?
What is the data type for the 'Ssn' column in the EMPLOYEE table?
What is the precision and scale for the 'Salary' column in the EMPLOYEE table?
Which data type should be used to store fixed-length character strings of maximum length 15 in the EMPLOYEE table?
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What will be the result of adding the value 12345 to the 'Ssn' column in the EMPLOYEE table?
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If a value of $5(7 + 3)$ is inserted into the 'Salary' column, what will be the stored value?
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What will happen if a value of 'John Doe' is inserted into the 'Ssn' column?
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If a value of $75000.99$ is inserted into the 'Salary' column, what will be the stored value?
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Study Notes
EMPLOYEE Table Data Types
- The 'Name' column typically uses the
VARCHARorCHARdata type to store variable-length character strings. - The 'Ssn' column is generally defined with the
CHARorVARCHARdata type for storing social security numbers as strings.
Salary Column Specifications
- The 'Salary' column usually has a decimal data type with specified precision and scale, allowing for values in a range suitable for currency.
Fixed-Length Character Storage
- For storing fixed-length character strings with a maximum length of 15, the
CHAR(15)data type is recommended.
Ssn Column Value Addition
- Adding the value 12345 to the 'Ssn' column could result in a data type error if the column is set to only accept string values since it typically expects a formatted string.
Salary Calculation
- Inserting a value of $5(7 + 3)$ into the 'Salary' column will store the result calculated, which equals $50.
Ssn Column Data Type Violation
- Inserting a string like 'John Doe' into the 'Ssn' column would lead to a data type violation or error if the column is strictly defined to accept numerical values.
Salary Value Storage
- A value of $75000.99$ inserted into the 'Salary' column will be stored as is, provided the column supports decimal values and the appropriate precision and scale are defined.
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Description
Test your knowledge of SQL data types with this quiz. Identify the data types for specific columns and understand precision and scale for numeric data types.
