How to Identify Duplicate Rows with Distinct Values in a Column?

Selecting Duplicates with Distinct Values

In the realm of data management, the challenge of identifying duplicate rows with differing values in a particular column often arises. This type of query can be particularly valuable when attempting to consolidate data or uncover potential inconsistencies within a dataset.

Consider the following example: A table contains a column representing unique identifiers (ARIDNR) and another column denoting different categories (LIEFNR). The goal is to retrieve all ARIDNR values that appear more than once, paired with the distinct LIEFNR values associated with each occurrence.

The solution to this query lies in leveraging subqueries and conditional logic. The following snippet provides a comprehensive approach:

SELECT *
FROM Table
WHERE ARIDNR IN (
    SELECT ARIDNR
    FROM Table
    GROUP BY ARIDNR
    HAVING COUNT(distinct LIEFNR) > 1
)

By utilizing a correlated subquery, the outer query restricts the selection to those ARIDNR values that are found in a separate subquery. The subquery calculates the count of distinct LIEFNR values for each ARIDNR and imposes a condition to select only those with more than one distinct value.

This approach effectively identifies all duplicate ARIDNR values that exhibit different LIEFNR values, allowing for the extraction of the desired rows.

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