Final answer:
To eliminate duplicate rows in SQL without DISTINCT, use a GROUP BY clause or window functions like ROW_NUMBER(). GROUP BY all columns or partition by these columns using ROW_NUMBER() and filter where the row number is 1.
Step-by-step explanation:
To eliminate duplicate rows in SQL without using DISTINCT, you can use a GROUP BY clause or a window function if supported by your SQL database system. One of the common approaches is to group by all columns of the table.
Here's an example using GROUP BY:
- Select all columns you want to display in the result.
- Add the GROUP BY clause, grouping by all the selected columns.
SELECT column1, column2, ... FROM your_table GROUP BY column1, column2, ...;
If your SQL version supports window functions, you can use ROW_NUMBER() to eliminate duplicates.
- Use the ROW_NUMBER() function partitioned by the columns that could have duplicates.
- Select rows where the row number is 1, indicating the first occurrence of the row, thus eliminating duplicates.
SELECT * FROM (
SELECT *, ROW_NUMBER() OVER(PARTITION BY column1, column2, ...) AS rn
FROM your_table
) AS subquery
WHERE subquery.rn = 1;
Be mindful that the GROUP BY method will not work if there are rows with non-duplicate values for all columns, whereas the window function works by considering the order and partitioning of rows, effectively handling such scenarios.