


How to Retrieve Two Distinct Data Sets with Conditional Aggregation in a Single SQL Query?
Efficiently Retrieving Two Separate Data Sets Using a Single SQL Query
This example demonstrates how to retrieve two distinct datasets from a single SQL query, avoiding the need for multiple queries. We'll use a transactions
table (containing id
, account_id
, budget_id
, points
, and type
columns) to illustrate. The goal is to obtain:
- The total
points
for eachbudget_id
wheretype
is 'allocation'. - The total
points
for eachbudget_id
wheretype
is 'issue'.
The Solution: Conditional Aggregation
A single SQL query can achieve this using conditional aggregation:
SELECT budget_id, SUM(CASE WHEN type = 'allocation' THEN points ELSE 0 END) AS allocated_points, SUM(CASE WHEN type = 'issue' THEN points ELSE 0 END) AS issued_points FROM transactions GROUP BY budget_id;
This query employs the CASE
statement (or IF
in some database systems) to conditionally sum the points
. If type
is 'allocation', the points
are added to allocated_points
; otherwise, 0 is added. The same logic applies to issued_points
. The GROUP BY
clause ensures that the sums are calculated for each unique budget_id
.
Expected Output:
The query will return a result set similar to this:
<code>budget_id | allocated_points | issued_points ----------|-------------------|--------------- 434 | 200000 | 100 242 | 100000 | 5020 621 | 45000 | 3940</code>
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