Calculating Sum with Conditional Filtering in SQL
When dealing with large SQL statements, it is often necessary to calculate summary values. However, sometimes it is required to only consider a subset of the data based on a specific condition. This article explores how to modify an existing statement to calculate the sum of cash values for unique transaction IDs, but only for those with a valuedate within the last month.
Problem:
To calculate the total cash for each transaction ID within a complex SQL statement, the following code is used:
select sum(cash) from Table a where a.branch = p.branch and a.transID = p.transID) TotalCash
However, the aim is to modify this statement to only sum cash values that have a valuedate within the last month.
Solution:
The revised code should replace the original CASE expression with the following:
SUM(CASE WHEN ValueDate > @startMonthDate THEN cash ELSE 0 END)
Explanation:
The CASE expression in your original code was using incorrect syntax. The SEARCH CASE syntax is required in this case because a Boolean expression is being evaluated to determine the result:
CASE WHEN Boolean_expression THEN result_expression [ ...n ] [ ELSE else_result_expression ] END
In the revised code, the CASE expression checks if the ValueDate is greater than the @startMonthDate. If it is, the cash amount is included in the calculation; otherwise, it is replaced with 0. This ensures that only cash values within the last month are considered.
Performance Considerations:
If performance becomes an issue, it is recommended to consider using a JOIN and GROUP BY instead of a dependent subquery. This may improve the execution speed of the statement.
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