dosubot[bot] commented on issue #43764: URL: https://github.com/apache/superset/issues/43764#issuecomment-5495508982
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Here's what happens under the hood: **For each database** referenced in the bundle, [`import_database()`](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/commands/database/importers/v1/utils.py#L74-L93) connects to your external database and calls [`add_permissions()`](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/commands/database/utils.py#L54-L104), which enumerates all schemas (and catalogs, for engines that support them) to register access permissions. This issues real connections/queries against the source database. **For each dataset**, [`import_dataset()`](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/commands/dataset/importers/v1/utils.py#L105-L192): - Writes/updates the `SqlaTable` row (and its columns/metrics) via `SqlaTable.import_from_dict()` [[1]](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/commands/dataset/importers/v1/utils.py#L159-L170). - Calls [`dataset.database.has_table()`](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/models/core.py#L1078-L1081), which opens a connection to the source database via SQLAlchemy's engine and checks whether the table exists [[2]](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/commands/dataset/importers/v1/utils.py#L175-L184). - If a `data` URI is present and the table doesn't already exist (or `force_data` is set), it downloads and loads CSV data into the table [[3]](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/commands/dataset/importers/v1/utils.py#L186-L187). In your case this branch is likely skipped since you're importing existing datasets, but the `has_table` existence check still runs a live query per dataset. So with 293 datasets, you're triggering roughly that many live "does this table exist" round-trips to your source database(s), plus schema/catalog enumeration for each connected database — all inside a single synchronous HTTP request. The [`_import` method](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/commands/dataset/importers/v1/__init__.py#L44-L72) processes databases first, then iterates over every dataset. The entire operation is wrapped in [one transaction](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/commands/importers/v1/__init__.py#L82-L91), and there's [no async/Celery offload](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/datasets/api.py#L819-L951) for the `/api/v1/dataset/import/` endpoint, so everything must complete within the gunicorn worker timeout. The default timeout in Superset's container entrypoint is [60 seconds](https://gith ub.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/docker/entrypoints/run-server.sh#L30), so bumping `--timeout` to 300 is the expected workaround. If you want to reduce the load rather than just raising the timeout, splitting the ZIP into smaller batches would cut down the number of live table-existence checks and permission-enumeration calls per request. <!-- Dosu Comment Footer --> *To reply, just mention [@dosu](<https://go.dosu.dev/dosubot?utm_source=github&utm_medium=bot-comment&utm_campaign=github-comment-footer-20260415&utm_content=reply-with-mention&utm_term=apache%2Fsuperset>).* --- Share context across your team and agents. Try [Dosu](https://dosu.dev?utm_source=github&utm_medium=bot-comment&utm_campaign=github-comment-footer-20260415&utm_content=knowledge-infrastructure-tagline&utm_term=apache%2Fsuperset). 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