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In SQL, handling multiple queries and combining their results into a single cohesive dataset is a common requirement. This article addresses a specific scenario where two queries return separate result sets, and the goal is to merge them into a unified result with each result appearing as a separate column.
The first query retrieves the sum of field days (fDaysSum) from a table tblFieldDays based on specific criteria. The second query retrieves the sum of charge hours (hrsSum) from tblChargeHours based on similar criteria.
To achieve the desired result, you can leverage SQL techniques to combine the two queries into a single query block. One effective approach is to alias the result sets of both queries and then select the aliased columns in the main SELECT statement.
SELECT x.fDaysSum, y.hrsSum FROM (SELECT SUM(Fdays) AS fDaysSum From tblFieldDays WHERE tblFieldDays.NameCode=35 AND tblFieldDays.WeekEnding=?) AS x, (SELECT SUM(CHdays) AS hrsSum From tblChargeHours WHERE tblChargeHours.NameCode=35 AND tblChargeHours.WeekEnding=?) AS y;
In this example, the first query is aliased as "x" and the second query as "y." The main SELECT statement then retrieves the fDaysSum column from x and the hrsSum column from y, effectively combining the results into a single result set with two columns.
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