Clearing the pivot table cache in Excel is an important step to ensure your pivot tables reflect the most current data and to reduce file size. Excel stores cached data to speed up pivot table calculations, but sometimes this cache can cause outdated information to appear or increase file size unnecessarily. This guide will walk you through how to clear the pivot table cache effectively, what you need beforehand, common mistakes to avoid, and troubleshooting tips if things don’t go as planned.
What You’ll Need
- A computer with Microsoft Excel installed (Excel 2010 or later recommended)
- An Excel workbook containing one or more pivot tables
- Basic familiarity with navigating Excel ribbons and menus
Step-by-Step
- Open your Excel workbook that contains the pivot table whose cache you want to clear.
- Select any cell inside the pivot table. This activates the PivotTable Tools contextual ribbon.
- Go to the PivotTable Analyze tab (called Options in some Excel versions) on the ribbon.
- Click on Options (or PivotTable Options), usually found in the leftmost group on the ribbon.
- In the PivotTable Options dialog box, go to the Data tab.
- Locate the section labeled Retain items deleted from the data source. This setting controls how long Excel keeps old cached items.
- Change this dropdown from its current setting (often “Automatic” or a number like “10”) to None. This tells Excel not to keep any cache for deleted items.
- Click OK to apply the changes.
- Now, to force Excel to purge the cache, you need to refresh the pivot table. Click Refresh under the PivotTable Analyze tab or right-click the pivot table and select Refresh.
- If you have multiple pivot tables based on the same data source, repeat these steps for each one, as cache settings apply per pivot table.
- Save your workbook after clearing the cache to ensure changes persist.
- Optionally, if you want to completely remove all pivot caches (for example, to reduce file size), you can copy and paste the pivot table as values and delete the original pivot table.
Common Mistakes
- Not selecting a cell inside the pivot table before accessing options: The PivotTable Options button only appears when a pivot table cell is selected.
- Assuming clearing cache is automatic after refreshing: Refreshing alone does not clear the cache unless the retention setting is changed.
- Changing cache settings but forgetting to refresh: The cache won’t update until the pivot table is refreshed.
- Confusing cache clearing with deleting pivot tables: Clearing cache does not delete pivot tables or their layout.
- Only changing one pivot table’s cache when multiple pivot tables share the same data source: Cache settings are specific to each pivot table.
Tips
- Regularly clear cache if your data source changes frequently: This helps avoid outdated items lingering in your pivot reports.
- Use VBA for bulk cache clearing: If you have many pivot tables, a small macro can clear caches more efficiently.
- Check file size before and after clearing cache: Large Excel files often shrink after cache clearing, improving performance.
- Consider rebuilding pivot tables if cache issues persist: Sometimes deleting and recreating a pivot table is faster than troubleshooting cache problems.
- Be cautious with cache clearing in shared workbooks: Changes may affect other users’ views of the data.
Troubleshooting
If clearing the pivot table cache doesn’t seem to work as expected, try the following:
- Ensure you changed the retention setting to None: Without this change, Excel keeps old cached items even after refresh.
- Refresh the pivot table properly: Use the ribbon button or right-click menu; closing and reopening the file can also help.
- Check for multiple pivot tables sharing the same data source: Each may have its own cache to clear.
- Try saving, closing, and reopening the workbook: Sometimes cache changes take effect only after restarting Excel.
- Use VBA to clear all pivot caches: If manual steps don’t work, a macro can force cache clearing (see tips for sample code).
- Verify you are not working on an external data connection or OLAP source: Cache clearing works differently or may not be applicable.
- Make sure your file isn’t corrupted: Cache issues can sometimes indicate file corruption; try rebuilding the pivot table in a new workbook.
Frequently Asked Questions
- Why does Excel keep old items in the pivot table filter even after data changes?
- Excel retains deleted items in the cache by default to maintain pivot table structure. Changing the retention setting to None and refreshing clears these old items.
- Does clearing the pivot table cache delete my pivot table?
- No, clearing the cache only removes stored old data behind the scenes. Your pivot table layout and design remain intact.
- Can clearing the pivot cache reduce my Excel file size?
- Yes, especially if your pivot tables have cached large amounts of outdated data, clearing the cache can noticeably reduce file size.
- Is there a way to clear pivot caches for all pivot tables in a workbook at once?
- Yes, using VBA macros you can loop through all pivot caches and clear them simultaneously.
- Will clearing the cache affect calculated fields or formulas in my pivot table?
- No, calculated fields and formulas rely on the current data and pivot structure, which are unaffected by cache clearing.
- Why doesn’t refreshing a pivot table remove old items from slicers or filters?
- Because the cache still retains those items until retention is set to None and the pivot table is refreshed.
By following these detailed steps and tips, you can keep your pivot tables accurate, up-to-date, and your Excel files optimized. Clearing the pivot table cache is a simple but powerful maintenance task that every Excel user working with pivot tables should know.
For advanced users managing multiple pivot tables or large workbooks, leveraging VBA can automate cache management and save significant time. Always remember to back up your workbook before making bulk changes to pivot tables or caches.
Cleaning the pivot table cache ensures your reports reflect only current data, improves performance, and prevents confusion from outdated entries lingering in filters or slicers. Use this guide as your go-to resource whenever you notice stale data in your pivot tables.
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