Data Import & Export

How to Split a Large Excel Product List into Separate Vendor Files

Maira Mehtab Sep 20, 2026 869 views

Question details

The user needs to divide a massive workbook containing more than 250,000 products into over 100 separate spreadsheet files based on the vendor name.

Product: Excel / MySQL
Device & OS: not provided
Scenario: Exporting and distributing vendor-specific product lists from a centralized database export.
Observed behavior: The user currently has a single massive dataset exported from MySQL and seeks an efficient method to categorize and save the data into distinct files for each vendor.

Before you start

Ensure you have access to your original MySQL database management tool, as querying the database directly is significantly faster and more stable than manipulating a 250,000-row spreadsheet manually.

Solution 1Recommended

Filter and Export Directly from the MySQL Database

The most efficient, secure, and maintainable way to handle massive datasets is to query the original database rather than splitting a giant spreadsheet.

Maintaining your data in a relational database rather than splitting it into over 100 separate spreadsheets ensures better security, easier updates, and simpler querying in the long run.

Access the Database

Open your preferred MySQL database management tool, such as phpMyAdmin, MySQL Workbench, or a command-line interface.

Execute a Filter Query

Run a standard SQL query to filter the records by a specific vendor. For example: SELECT * FROM your_table WHERE vendor LIKE 'Specific VendorName';

Sort the Results

If you need the exported file organized, append an ORDER BY clause to your query, such as: ORDER BY product_id ASC;

Export the Data

Use your database tool's Export function to save the queried results as a CSV or Excel file specifically for that vendor.

Database vs. Spreadsheets: A database is highly preferable to splitting a large file into many spreadsheets. Having more than 100 separate files makes global updates and queries very difficult to maintain.

Solution 2

Use Spreadsheet AutoFilter and Copy

If you cannot access the original MySQL database and must work with the exported file, use built-in filters to manually extract vendor data.

Efficient Data Management with WPS Spreadsheet

Manage and Split Large Datasets Seamlessly in WPS Office

WPS Spreadsheet is fully optimized for handling massive datasets. It offers powerful filtering, querying, and exporting tools to help you organize hundreds of thousands of rows with ease, all while remaining highly responsive.

1. Open the Large File: Launch WPS Spreadsheet and open your massive product list.
2. Enable Filtering: Navigate to the 'Data' tab and click on 'AutoFilter'.
3. Filter by Vendor: Click the dropdown on the vendor column and select the vendor you need.
4. Export the Selection: Highlight the filtered rows, copy them, and paste them into a new WPS Spreadsheet tab to save individually.

Handles large CSV and XLSX files smoothly with low memory consumptionAdvanced AutoFilter and Pivot Table capabilities for deep data analysis100% compatible with Microsoft Excel formats seamlesslyFree and lightweight alternative for heavy-duty data management

microsoft office alternative - wps office

Frequently Asked Questions

Is it better to keep large datasets in a database or split them into multiple Excel files?

It is highly recommended to keep massive datasets centralized in a database like MySQL. Managing over 100 separate spreadsheets makes it difficult to run global queries, update records uniformly, and maintain consistent data security.

Can I automate splitting an Excel file by column values?

Yes, you can automate this process in Excel or WPS Spreadsheet by using VBA macros. You can navigate to the Developer tab, open Visual Basic, and write a script that loops through unique values in the Vendor column and exports them into separate workbooks. However, for 250,000+ rows, running this macro may take considerable time.

Why does my spreadsheet freeze when handling 250,000 rows?

Massive datasets consume significant RAM and processing power. To improve performance, close unnecessary background applications, ensure you are using a 64-bit version of your spreadsheet software, or save the file in the lighter CSV format instead of XLSX.

Excel & Data Problems