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Will JonesandClaude Opus 5.5
4d7a64712f
## Summary Adopts the product terminology guide across the docs site pages, SDK docstrings and error messages. "LanceDB OSS" and local mode become **LanceDB Embedded**. "Remote" as the execution model becomes **LanceDB Distributed**, which LanceDB Enterprise provides. Where free vs paid is the point, pages contrast "LanceDB Embedded (open source)" with "LanceDB Enterprise". This is a first trial of the Embedded name, so reviewers can judge it in context. - **Embedded vs Distributed** for where execution runs (`optimize()`, consistency, branching, maintenance). Main pages define it once: "LanceDB Enterprise runs LanceDB Distributed: …" - **LanceDB Cloud** is kept only for legacy-Cloud specifics (`db://` region, the brute-force KNN limit) and marked legacy. "Cloud and Enterprise" becomes Enterprise or Distributed. - **Plan executor** becomes "executor" or the fleet name. - **Error messages** change, e.g. `optimize is not supported for remote tables.` → `... in LanceDB Distributed.` Tests that match on them are updated. - **Vale rules** (`EmbeddedName`, `OSSProduct`, `RemoteExecution`, `DistributedEnterprise`, `LegacyCloud`, `InternalNames`) enforce the terms in prose. Unchanged: identifiers (`availability.oss`, the `remote` module and feature, `RemoteTable`, `db://`), heading anchors, internal code comments, and Geneva. ## Evidence - Rust lib tests for the changed messages and the Python tests in `test_remote_db.py`, `test_materialized_views.py` and `test_table.py` pass locally. - Not run locally: - The Node tests: `remote.test.ts` and `table.test.ts` have updated assertions. - Vale. - The `experimental_functions`-marked materialized-view tests. - `docs/src` API reference was hand-edited to match the docstrings rather than regenerated. ## Merge Risk **Door:** two-way; prose and message text only. **Blast Radius:** `docs`, `error-messages`: callers matching on old error strings would break. Companion PRs: lancedb/docs (assembler labels, STYLE.md) and sophon (Enterprise pages). 🤖 Generated with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
97 lines
3.7 KiB
Plaintext
97 lines
3.7 KiB
Plaintext
---
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title: "Materialized view"
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sidebarTitle: "Materialized View"
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description: "Create, open, list and drop a table whose contents are defined by a query."
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icon: table
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keywords: ["materialized view", "create_materialized_view", "catalog", "ddl"]
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availability:
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oss: available
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enterprise: available
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summary: >-
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Both offerings support materialized views. See [Enterprise compatibility](#deployment) for connection and server requirements.
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---
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A materialized view is a table whose contents are defined by a query over
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another table. The query is recorded in the view's schema, and a refresh
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brings its stored rows up to date with the source.
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The result is an ordinary table: queryable, indexable, searchable, and present
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in `table_names()`. Nothing about reading it is special.
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This page covers creating and managing one. Keeping it current is
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[Refresh a materialized view](/feature-engineering/materialized-views).
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<Note>
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In SQL, see [`REFRESH MATERIALIZED VIEW`](/sql/dml/refresh#refresh-materialized-view) and [`SHOW MATERIALIZED VIEWS`](/sql/ddl/materialized-view#show).
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</Note>
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## Create a materialized view {#create}
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<CodeGroup>
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```python Python icon="python"
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view = db.create_materialized_view(
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"recent_docs",
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source="documents",
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select=["id", "title", "embedding"],
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where="created_at > TIMESTAMP '2026-01-01 00:00:00'",
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)
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```
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```typescript TypeScript icon="square-js"
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const view = await db.createMaterializedView("recent_docs", "documents", {
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select: ["id", "title", "embedding"],
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where: "created_at > TIMESTAMP '2026-01-01 00:00:00'",
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});
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```
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</CodeGroup>
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`source` names the table the view reads. With Python SDK 0.40.0, create that
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table with stable row IDs before creating the view. The
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[complete example](/feature-engineering/materialized-views#create-and-refresh)
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shows the setup. `select`, `where` and `limit` define the query.
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## Open, list and drop views {#manage}
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| | Python | TypeScript | SQL |
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| --- | --- | --- | --- |
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| create | `create_materialized_view` | `createMaterializedView` | `CREATE MATERIALIZED VIEW` |
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| open | `open_materialized_view` | `openMaterializedView` | -- |
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| list | `list_materialized_views` | `listMaterializedViews` | `SHOW MATERIALIZED VIEWS` |
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| refresh | `refresh` | `refresh` | `REFRESH MATERIALIZED VIEW` |
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| drop | `drop_table` | `dropTable` | `DROP TABLE` |
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<Note>
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On a local database, `list_materialized_views` reads table schemas to find
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views. On Enterprise, it asks the server for the view listing, as
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`SHOW MATERIALIZED VIEWS` does.
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</Note>
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A view is dropped with `drop_table`, because a materialized view **is** a table.
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That also means dropping one removes stored rows, unlike dropping a
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[view](/management/view), which removes only a saved query.
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## Read the view and its definition {#working}
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`view.table` is the underlying table, for querying, indexing, or search.
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`view.definition` contains the query's select list, predicate and limit. Both are properties; on an async view, the definition is read with
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`await view.definition()`.
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## Enterprise compatibility {#deployment}
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Enterprise supports creating and refreshing materialized views on the
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Enterprise service. Use the SDK version supported by your deployment, or the
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[SQL interface](/sql/ddl/materialized-view). See
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[Enterprise refreshes](/feature-engineering/materialized-views#availability)
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for compatibility considerations when upgrading an existing pipeline.
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## Related guides {#next}
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<CardGroup cols={2}>
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<Card title="Refresh a materialized view" icon="arrows-rotate" href="/feature-engineering/materialized-views">
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How a refresh works, and what it writes.
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</Card>
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<Card title="Views" icon="eye" href="/management/view">
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The non-materialized counterpart, defined in SQL.
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</Card>
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</CardGroup>
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