If you are running a query to find the oldest 5 values, and you're seeing the same rows with identical values, it's possible that your dataset contains duplicate rows, or there might be an issue with the way you're writing your SQL query.

Here's how you can address this issue:

Removing Duplicate Rows:
If you have duplicate rows in your dataset, you can use the DISTINCT keyword to eliminate duplicates. For example:
```
SELECT DISTINCT column1, column2
FROM your_table
ORDER BY date_column
LIMIT 5;
```
Make sure to specify the appropriate columns and the correct date column for your dataset.
Check the Data:
Review your dataset to confirm whether there are indeed duplicates. It's possible that the data contains multiple entries with the same values, and that's why you're seeing repeated results.
Refine Your Query:
Ensure that your query includes proper ordering based on the date (or other criteria for determining the "oldest" values), and that you're limiting the result set to the top 5 rows.

For example:
```
SELECT column1, column2
FROM your_table
ORDER BY date_column ASC
LIMIT 5;
```
Be sure to replace column1, column2, your_table, and date_column with your actual column and table names.
Data Integrity:
Ensure that your dataset's integrity is maintained. If duplicate rows are unintentionally being inserted into your database, you should investigate and resolve the data insertion process.
Indexing and Data Quality:
Verify that your data is correctly indexed, and make sure that there are no data quality issues that could lead to unintended duplication.
SQL Server Specific Issues:
If you are using SQL Server, you might want to look into SQL Server-specific functions or settings related to duplicate rows, as SQL Server may have its own nuances in handling duplicate data.

If you're still experiencing issues with your query after checking for duplicates and refining your query, please provide more details about your specific SQL query and dataset so that I can provide more targeted assistance.

data set doubt