mirror of
https://github.com/lancedb/lancedb.git
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Jack Ye
ddb318567a
## Summary - Complete the SQL reference: `ATTACH DATABASE`, the `CHANGES` clause, and `dedupe()`/`duplicate_pairs()` (verified against current sophon source; these were recently renamed from `vector_dedup`/`vector_duplicate_pairs`). Fix the blob-column default-projection claim and add the previously undocumented `blob_descriptor()`. - Enrich the gated Functions draft (still `.mintignore`'d, pre-release): chained Functions over blob outputs, GPU-produced blobs, Secrets, multi-input/output binding, `code=[module]` packaging. - Upgrade the materialized-view and computed-column auto-refresh drafts with precise, verified catch-up semantics, and add the missing `ALTER MATERIALIZED VIEW` / `CREATE ... WITH(...)` sections (also gated — the automatic-refresh scheduler is still dev/staging-only). - Thread one running example (video frames → GPU extract/caption → dedup → auto-refreshing materialized view) through Functions, materialized views, and the LeRobotDataset integration guide instead of a separate tutorial. - Rename "LanceDB OSS"/"OSS" to "LanceDB Embedded"/"Embedded" throughout (52 files); activate the existing availability-comparison mechanism on `basics/offerings.mdx` for a full feature-by-feature comparison table.
138 lines
3.7 KiB
Plaintext
138 lines
3.7 KiB
Plaintext
---
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title: "SELECT"
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sidebarTitle: "SELECT"
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description: "Projection, filtering, ordering, and composing queries out of other queries."
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icon: table-columns
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keywords: ["select", "where", "order by", "limit", "cte", "union", "distinct"]
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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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```sql
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[WITH cte AS (...)]
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SELECT [ALL | DISTINCT] select_expr [, ...]
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FROM from_item [[JOIN ...] ON ...]
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[WHERE predicate]
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[GROUP BY expr [, ...]] [HAVING predicate]
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[WINDOW name AS (...)]
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[ORDER BY expr [ASC | DESC] [NULLS FIRST | LAST] [, ...]]
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[LIMIT n] [OFFSET n]
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```
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## Projection {#projection}
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<CodeGroup>
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```sql SQL
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SELECT id, title, identifier FROM documents
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```
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```python Python icon="python"
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tbl.search().select(["id", "title", "identifier"]).to_arrow()
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```
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```typescript TypeScript icon="square-js"
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await tbl.query().select(["id", "title", "identifier"]).toArrow();
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```
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</CodeGroup>
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Name the columns you need instead of using `SELECT *`, particularly for
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tables containing images, video or large vectors. Projection lets the engine
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avoid loading unnecessary columns, although columns used by filters, joins or
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other expressions may still need to be read.
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Row metadata is available as [pseudo-columns](/sql/data-types#pseudo-columns)
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(`_rowid`, `_rowaddr`, `_rowoffset`) but only when named, so they stay out of
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`SELECT *`.
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`DISTINCT` deduplicates the projected rows.
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## Filtering {#filtering}
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<CodeGroup>
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```sql SQL
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SELECT * FROM documents
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WHERE identifier > 0 AND identifier < 1000000
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```
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```python Python icon="python"
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tbl.search().where("identifier > 0 AND identifier < 1000000").to_arrow()
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```
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```typescript TypeScript icon="square-js"
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await tbl.query().where("identifier > 0 AND identifier < 1000000").toArrow();
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```
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</CodeGroup>
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The SDK `where` takes the same expression language, so a predicate moves between
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them unchanged. A supported predicate can use a scalar index; confirm the chosen plan with
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[`explain_plan`](/search/explain). See
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[Filtering](/search/filtering) for the operators and their pushdown behaviour.
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## Ordering and limiting {#order-limit}
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```sql
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SELECT id, title FROM documents
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ORDER BY created_at DESC NULLS LAST
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LIMIT 100 OFFSET 200
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```
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`ORDER BY` on a large table is a sort over the whole result, so pair it with a
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`LIMIT` unless you genuinely need every row ordered.
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## Set operations {#set-operations}
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`UNION`, `UNION ALL`, `INTERSECT` and `EXCEPT` combine whole queries:
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```sql
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SELECT id FROM documents WHERE category = 'film'
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UNION ALL
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SELECT id FROM archived_documents WHERE category = 'film'
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```
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`UNION` deduplicates and `UNION ALL` does not, which makes `UNION ALL` the
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cheaper one when you already know the inputs are disjoint.
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## Common table expressions {#ctes}
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```sql
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WITH recent AS (
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SELECT * FROM documents WHERE created_at > now() - INTERVAL '7 days'
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)
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SELECT category, count(*) FROM recent GROUP BY category
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```
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A CTE is scoped to the statement. One you want to keep is a
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[view](/management/view); one whose rows you want stored is a
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[materialized view](/management/materialized-view).
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## Subqueries {#subqueries}
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Subqueries are allowed anywhere an expression or a relation is (in `FROM`, in
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`WHERE` with `IN` or `EXISTS`, and as a scalar in the select list):
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```sql
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SELECT title
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FROM documents
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WHERE category_id IN (SELECT id FROM categories WHERE active)
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```
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## Namespaced tables {#namespaces}
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A table inside a [namespace](/management/namespace) is written as a dotted path:
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```sql
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SELECT * FROM prod.events.clicks
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```
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## Reading the plan {#plans}
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`EXPLAIN` and `EXPLAIN ANALYZE` work as DataFusion defines them, and produce the
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same operators the SDK methods do:
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```sql
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EXPLAIN ANALYZE SELECT * FROM documents WHERE identifier < 1000
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```
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See [Explain](/search/explain) and [Explain Analyze](/search/explain).
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