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@tillahoffmann tillahoffmann commented Jan 6, 2026

This follows up on #1069 to call close on the underlying data source if it implements a close method. This ensures resources are cleaned up properly.

For multi-threaded prefetch, the close method is called once per thread and on the main thread to clean up thread-local resources. This means that close should be safe to call multiple times which aligns with Python standard practice, e.g., closing streams, database connections, and sockets in the standard library have this behavior.


The docs mention that Grain tries to use data sources as context managers if they implement the protocol, but that behavior is not currently implemented (cf. #936). The code provides the utility function use_context_if_available, but it is not used.

@iindyk, given our discussion in #1069, I've used close rather than context managers to clean up resources. This achieves the clean up, but does not address the doc discrepancy in #936. I can add the context manager implementation but wanted to discuss first given the preference for close over context managers in #1069.


📚 Documentation preview 📚: https://google-grain--1185.org.readthedocs.build/

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This change ensures that when `DatasetIterator.close()` is called, the
cleanup propagates all the way down to the underlying data source,
allowing proper resource cleanup (e.g., closing file handles, database
connections, or thread-local resources).

Changes:
- Add `close()` to `MapDataset` that propagates to parent datasets
- Add `close()` to `SourceMapDataset` that calls the data source's
  `close()` method if available
- Update `PrefetchDatasetIterator.close()` to call `_map_parent.close()`
- Update `GetElementProducerFn.__call__` to call `it.close()` in finally
  block for multiprocessing cleanup
- Add tests for close propagation
@tillahoffmann tillahoffmann force-pushed the datasource-close-propagation branch from 97a22ce to efd84d6 Compare January 6, 2026 16:49
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