How to Calculate the Validity Duration of Each Row in SQL
Querying the Duration of Each Row's Validity
Write a SQL query to calculate the duration each row was valid in a temporal table.
Solution:
-- Calculate the duration each row was valid.
SELECT EmployeeID, Name, Position,
SysStartTime, SysEndTime,
DATEDIFF(DAY, SysStartTime, SysEndTime) AS ValidityDurationInDays
FROM Employees
FOR SYSTEM_TIME ALL
ORDER BY SysStartTime;
Explanation:
- Purpose of the Query :
- The goal is to demonstrate how to calculate the duration each row was valid in a temporal table.
- Key Components :
- DATEDIFF: Calculates the difference between SysStartTime and SysEndTime.
- FOR SYSTEM_TIME ALL: Retrieves all versions of rows from both the main table and history table.
- ValidityDurationInDays: Displays the duration in days for which each version of the row was valid.
- Why Query Validity Duration? :
- Understanding the validity duration helps identify how long specific data states persisted.
- It supports trend analysis and auditing.
- Real-World Application :
- In project management systems, this tracks how long employees held specific roles.
Additional Notes:
- Use DATEDIFF with appropriate units (e.g., days, hours) based on the granularity needed.
- Combine with filters to focus on specific subsets of data.
- Important Considerations:
- Ensure that SysStartTime and SysEndTime are correctly populated.
For more Practice: Solve these Related Problems:
- Write a SQL query to calculate the validity duration of each row in a temporal table named "Contracts".
- Write a SQL query to determine how long each version of a row was valid in a temporal table named "Projects".
- Write a SQL query to compute the time span for which each record remained unchanged in a temporal table named "CustomerDetails".
- Write a SQL query to measure the duration of validity for each version of rows in a temporal table named "ProductCatalog".
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Previous SQL Exercise: Querying Changes Within a Specific Time Range.
Next SQL Exercise: Identifying Rows with No Changes Over Time.
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