dosubot[bot] commented on issue #34736:
URL: https://github.com/apache/superset/issues/34736#issuecomment-3197821299

   <!-- Answer -->
   Based on a deep review of Superset's code and recent changes, this isn't a 
Superset bug—it's an infrastructure or connector config issue. Superset uses 
SQLAlchemy inspector methods for metadata reflection, which can trigger 
Snowflake to stage results in S3. If your infra can't reliably access the 
staging S3 bucket, metadata queries (like dataset creation and column 
introspection) will fail, while SQL Lab queries may work because they often 
avoid S3 staging. Superset doesn't implement custom error handling or retries 
for these S3 staging errors; failures are surfaced directly from the Snowflake 
connector or network stack, not introduced by Superset itself. No recent PRs or 
docs indicate a regression or bug in Superset related to this behavior. 
Troubleshooting should focus on network reliability, connector options, and 
Snowflake session parameters. If new evidence emerges, it's worth revisiting, 
but right now this is infra/config, not a Superset bug.
   
   
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