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The following sections describe common errors that might occur when you try to access data in a share.
Resource limit exceeded errors
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.
Vacuumed data file issue
Issue: You see an error message that throws a "404 The specified [path|key] does not exist" exception.
Spark error examples:
java.lang.Throwable: HTTP request failed with status: HTTP/1.1 404 The specified path does not exist.
or
HTTP request failed with status: HTTP/1.1 404 Not Found <?xml version="1.0" encoding="UTF-8"?>
<Error><Code>NoSuchKey</Code><Message>The specified key does not exist.</Message>
Possible cause: Typically you see this error because the data file corresponding to the pre-signed URL is vacuumed in the shared table and the data file belongs to a historical table version.
Workaround: Query the latest snapshot.
Storage network configuration issue
Issue: You see an error message that throws an SSLCertVerificationError.
Spark error example:
ssl.SSLCertVerificationError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1006)
Possible cause: Typically you see this error because there is a network restriction on the storage location of the shared table or volume.
Recommended fix: In the storage provider interface, allow access to the storage location by allowing the client IP in the storage account firewall settings.