Load & manage data
Work with data
Reference & resources
Updated Dec 08, 2023
Send us feedback
The following sections describe common errors that might occur when you create a share or access data in a share.
The following errors are common when accessing data in a share.
Issue: Your query on a shared table returns the error RESOURCE_LIMIT_EXCEEDED.
You may see either of these errors:
"RESOURCE_LIMIT_EXCEEDED","message":"The table metadata size exceeded limits"
"RESOURCE_LIMIT_EXCEEDED","message":"The number of files in the table to return exceeded limits, consider contact your provider to optimize the table"
Possible causes: There are limits on the number of files in metadata allowed for a shared table.
Recommended fix: To learn how to resolve either of these issues, see RESOURCE_LIMIT_EXCEEDED error when querying a Delta Sharing table in the Databricks Knowledge Base.