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batch_size / num_workers / max_workers are invocation concerns (how to schedule THIS refresh), so expose batch_size on refresh_column through every layer (Python sync+async -> pyo3 -> Rust client -> the REST RefreshColumnRequest.batch_size, which the handler already forwards into the backfill). num_workers/max_workers were already invocation- placed; batch_size was the gap. The function may still carry a default; the refresh override wins (extends the batch_size_override model). Both crates cargo-check clean. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
LanceDB Python SDK
A Python library for LanceDB.
Installation
pip install lancedb
Preview Releases
Stable releases are created about every 2 weeks. For the latest features and bug fixes, you can install the preview release. These releases receive the same level of testing as stable releases, but are not guaranteed to be available for more than 6 months after they are released. Once your application is stable, we recommend switching to stable releases.
pip install --pre --extra-index-url https://pypi.fury.io/lancedb/ lancedb
Usage
Basic Example
import lancedb
db = lancedb.connect('<PATH_TO_LANCEDB_DATASET>')
table = db.open_table('my_table')
results = table.search([0.1, 0.3]).limit(20).to_list()
print(results)
Development
See CONTRIBUTING.md for information on how to contribute to LanceDB.