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Jack YeandClaude Sonnet 5
de95ed3f6d
A broad documentation pass across the areas LanceDB Enterprise and Embedded diverge on most: **Data Curation** -- GPU Function execution, Slurm scheduling (and what Slurm is, for readers new to it), blob late materialization as its own page, joins, aggregation/profiling, sampling, near-duplicate detection, chunking, distributed shuffle, and IVF-partition clustering. **Feature Engineering** -- computed columns and materialized views, restructured to lead with the Function-based path and show the SQL form side by side with Python throughout; a single Auto Refresh page instead of duplicating scheduling details on every refresh page; adaptive execution; checkpointing; GPU and Slurm placement for refresh workers; a Training Cache page for the PyTorch data loader's automatic cache benefit. **Security & Governance** -- an Audit Log reference (schema, access, grants), Secrets promoted to an ordinary catalog object with their own SQL DDL and a vending/rotation guide, and privilege-table fixes verified against the authorization source. **Deployment & Maintenance** -- Horizontal Scaling and OpenTelemetry moved into a real Deployment area; Automated Cleanup folded into Intelligent Auto-Maintenance (every other maintenance decision already lived there); RTE Compaction and Advanced Conflict Resolution documented in depth. **Landing page** -- the Enterprise feature comparison table reorganized (several redundant or stale rows removed, several new areas added), and the "why Enterprise" bullets replaced with ones tied to a concrete page (Performance, Scale, Fault tolerance, Multicloud deployment, Simplify operations) instead of vague promises. Plus a full pass addressing lancedb-gatekeeper's review: a real test-safety bug (a quickstart test could silently overwrite and delete a deployment's own `frames` table), a fabricated SQL statement with no backing implementation, an actual dedup-guarantee bug in `take_row_ids`, and dozens of documentation-accuracy fixes verified against source rather than taken on faith -- each either fixed, or left with an explicit note on why it needs a feature or deployment owner's sign-off instead of being guessed at. 🤖 Generated with [Claude Code](https://claude.com/claude-code) https://claude.ai/code/session_018PXMCbRH6i5w47TsjeEUMT --------- Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>
28 lines
1.0 KiB
Python
28 lines
1.0 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright The LanceDB Authors
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def test_sample_dataset():
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from tempfile import TemporaryDirectory
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import lancedb
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from lancedb.permutation import Permutation, permutation_builder
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with TemporaryDirectory(prefix="lancedb-sampling-") as uri:
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db = lancedb.connect(uri)
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# --8<-- [start:sample_dataset]
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table = db.create_table("records", [{"id": i} for i in range(10)])
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splits = (
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permutation_builder(table).split_random(counts=[3, 7], seed=42).execute()
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)
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sample = Permutation.from_tables(table, splits, split=0).with_format("arrow")
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selected_ids = []
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for batch in sample.iter(batch_size=3):
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selected_ids.extend(batch.column("id").to_pylist())
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print(f"Selected {len(selected_ids)} rows: {selected_ids}")
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# --8<-- [end:sample_dataset]
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assert len(selected_ids) == 3
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assert len(set(selected_ids)) == 3
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assert all(0 <= value < 10 for value in selected_ids)
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