SQL Queries to Find Users with Multiple Payments on the Same Day
This article demonstrates how to identify users who made multiple payments on the same day using SQL, with an added refinement to consider only distinct ZIP codes. We'll use a PAYMENT
table with columns for user_id
, account_no
, zip
, and date
.
Initial Query (Without Distinct ZIP Code):
The initial approach uses a GROUP BY
and HAVING
clause to count payments:
<code class="language-sql">SELECT user_id, COUNT(*) AS payment_count FROM PAYMENT GROUP BY user_id, account_no, date HAVING COUNT(*) > 1;</code>
This query groups payments by user, account number, and date. The HAVING
clause filters results to show only users with more than one payment on a given day using the same account.
Improved Query (With Distinct ZIP Code):
To ensure only distinct ZIP codes are considered, a subquery is introduced to select unique combinations of user, account, ZIP, and date before grouping and counting:
<code class="language-sql">SELECT user_id, account_no, date, COUNT(*) AS payment_count FROM (SELECT DISTINCT user_id, account_no, zip, date FROM PAYMENT ) AS distinct_payments GROUP BY user_id, account_no, date HAVING COUNT(*) > 1;</code>
This refined query first creates a distinct set of payment records using the subquery (distinct_payments
). Then, it groups these distinct records and applies the HAVING
clause to identify users with multiple payments on the same day, considering only distinct ZIP codes for each payment. This ensures that a user with multiple payments to the same account on the same day, but with different ZIP codes, will not be included in the results.
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