This error usually appears when one of the CSV rows is trying to attach more than 10,000 references to a single file or resource, which exceeds Shopify’s limit.
I’d recommend checking your CSV for:
Duplicate entries referencing the same file repeatedly
Image/file columns containing too many references
Malformed data causing Shopify to interpret multiple values as file references
As a workaround, try splitting the import into smaller batches or reducing the number of file references per product. Also, validating the CSV formatting (especially separators, commas, and line breaks) may help identify the problematic row.
If you can share a sample of line 2 (with sensitive data removed), it may be easier to pinpoint the exact issue.
That error is easy to misread as a CSV formatting problem, but it reads like it’s about references to a single file, not the number of rows you’re importing. Shopify caps how many resources can point at one file, and once a file is near that ceiling, even a one-line import that references it tips it over. That would explain why your single-line files fail too, the row count isn’t the issue, the target asset already carries the references.
So I’d stop looking at the CSV structure and look at the file column: is it pointing at an image or asset that’s already shared across a big chunk of your catalog? If yes, swap those rows to a fresh copy of the file or a unique URL and the import should go through.
Is that column a product image, or a metafield of type list.file_reference? The thing to fix is slightly different depending on which one it is.
Hey @Plumblikeaking ,
This error usually indicates that Shopify is trying to associate a single file with more than 10,000 references which exceeds the platform limit.
A few things you can check:
Review your CSV to see if the same file URL or file reference is being assigned to a very large number of products or metafields.
If you’re importing file metafields or metaobject references verify that they aren’t all pointing to the same file unintentionally.
Try importing a smaller subset of the CSV to identify whether a specific row or column is triggering the issue.
If everything looks correct and the error still occurs it may be worth contacting Shopify Support as they can confirm exactly which file or field is exceeding the reference limit.
If you’re able to share the CSV structure or at least the headers I’d be happy to help pinpoint the cause.
This error usually comes up when the same image file is being referenced by more products/variants than Shopify allows in a single file – Shopify caps this at 10,000 references per individual file. It’s not really about the CSV row count itself, but about how many times one specific image (same URL/filename) gets reused across your catalog.
There’s a few things to try:
Check which image is on line 2 (or being referenced there) and see if it’s a shared/generic image used across many rows.
If so, try duplicating that image under a few different filenames and split the references across them, so no single file exceeds the 10,000-reference cap.
Alternatively, split your CSV import into smaller batches so fewer rows reference that same image in one go (though this only helps if the total store-wide count is still under the cap – if it’s already at 10k+ from prior imports, you’ll need to vary the image file itself).
Double check it’s not a metafield or file reference (rather than product image) pointing to the same file across too many products/variants.
This usually happens when Shopify hits a limit with too many file or image references during the CSV import.
I’d suggest trying these first:
Split the CSV into smaller files and import them one by one.
Check line 2 carefully for too many image URLs or repeated file references.
Remove duplicate/unnecessary image URLs from the CSV.
Try importing products first, then handle images separately.
Also, you can try the Syncora: Backup & Restore app. I think this app can help you keep store data safely backed up before making big imports or changes, so you can restore things if anything goes wrong.