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5810974b37
Geneva Table.load_columns() parity on the REST-only client. Fills existing
columns from an external Parquet/Lance/IPC source by primary-key join.
- BaseTable::load_columns default (NotSupported) + public Table::load_columns,
taking a LoadColumnsRequest (source uris/format/storage_options, target/source
key, (target, source?) column mappings, on_missing, worker/batch/commit knobs).
- Remote impl POSTs to /v1/table/{id}/load_columns with the matching body;
mock test asserts the request shape.
- PyO3 binding + Python remote Table.load_columns(source, pk, columns, *,
source_format, source_pk, on_missing, ...) accepting a column list or
{target: source} dict.
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.