SQL
Identify Duplicate Records Based on Multiple Columns
Discover how to find and list all duplicate rows within a table by specifying multiple columns, useful for data cleaning and integrity checks.
SELECT col1, col2, col3, COUNT(*)
FROM your_table_name
GROUP BY col1, col2, col3
HAVING COUNT(*) > 1;
How it works: This query identifies rows that have identical values across 'col1', 'col2', and 'col3'. It groups the rows by these columns and then filters for groups where the count is greater than one, indicating the presence of duplicate records. Replace 'your_table_name' and column names with your actual table and column identifiers.