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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>
102 lines
3.6 KiB
Plaintext
102 lines
3.6 KiB
Plaintext
---
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title: "Scope curation to what changed"
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sidebarTitle: "Changes"
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description: "Process only the rows added since your last curation run, instead of rescanning the whole table."
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icon: clock-rotate-left
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keywords: ["changes", "incremental", "cdc", "version", "append-only"]
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availability:
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embedded: unavailable
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enterprise: available
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---
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A curation task you run repeatedly -- chunking, deduplication, profiling --
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does not need to rescan rows it already processed. `CHANGES` reads only the
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rows appended to a table since an earlier
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[version](/management/table#versioning), so a recurring job can scope itself
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to what is new.
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## Example data {#example-data}
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`curation_batches` gets a batch of new documents appended periodically, with
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no updates or deletes between appends:
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<CodeGroup>
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```sql SQL icon="database"
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CREATE TABLE curation_batches (doc_id BIGINT, source VARCHAR, text VARCHAR);
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INSERT INTO curation_batches VALUES
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(1, 'web', 'A cat on a chair'),
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(2, 'web', 'A dog in a field');
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-- note the version after this insert, for example 5
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INSERT INTO curation_batches VALUES
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(3, 'books', 'A bird in a tree'),
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(4, 'books', 'A cat by a window');
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-- the table is now at a later version, for example 7
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```
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</CodeGroup>
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## Read only what is new {#read-new}
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`CHANGES (INFORMATION => APPEND_ONLY) AT (VERSION => 5)` reads the rows
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appended after version 5 -- documents 3 and 4 -- without rescanning 1 and 2:
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<CodeGroup>
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```sql SQL icon="database"
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SELECT * FROM curation_batches CHANGES (INFORMATION => APPEND_ONLY) AT (VERSION => 5)
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```
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</CodeGroup>
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Record the table's version after each curation run, then start the next
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run's `CHANGES` from it. See [Versioning](/management/table#versioning) for
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the APIs that read a table's current version.
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## Chain it into a curation task {#chain}
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`CHANGES` is a relation, like any other table reference, so it composes with
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the rest of this page: chunk, dedupe, or join only the new rows, instead of
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the whole table. Materializing the result keeps a running, append-only table
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of work already done:
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<CodeGroup>
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```sql SQL icon="database"
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INSERT INTO curated_batches
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SELECT doc_id, source, text
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FROM curation_batches CHANGES (INFORMATION => APPEND_ONLY) AT (VERSION => 5)
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WHERE source = 'books'
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```
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</CodeGroup>
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A [chunker Function](/curation/chunking) or a [`dedupe`](/sql/dql/dedupe)
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call works the same way: put the `CHANGES` relation where the source table
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would otherwise go, and only the new rows flow through it.
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## Strictly append-only {#strict}
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The clause is named for what it requires, not just what it does. If anything
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other than a pure append happened to the table between the starting version
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and the current one -- an update, a delete, a merge -- the query is refused
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rather than silently returning an incomplete or wrong result:
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<CodeGroup>
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```sql SQL icon="database"
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-- refused if any row in curation_batches was updated or deleted after version 5
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SELECT * FROM curation_batches CHANGES (INFORMATION => APPEND_ONLY) AT (VERSION => 5)
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```
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</CodeGroup>
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When that happens, either re-run from a later starting version that is
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itself after the non-append write, or read the table in full instead of
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incrementally for that run. See
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[Changes since a version](/sql/dql/changes#strict) for the complete set of
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refused forms.
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## What to read next {#next}
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<CardGroup cols={2}>
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<Card title="CHANGES" icon="clock-rotate-left" href="/sql/dql/changes">
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The full SQL syntax, placement rules, and unsupported forms.
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</Card>
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<Card title="Table" icon="table" href="/management/table#versioning">
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How table versions work, and how to find one to start from.
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</Card>
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</CardGroup>
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