Files
lancedb/docs/web/sql/select.mdx
T
Jack Ye 734eb39dc3 docs: make every sidebar label a capitalized noun
Six groups were verbs -- Manage, Ingest, Train, Operate, Secure, Deploy -- and
now name the thing rather than the action. Four more were sentence case.

The page labels that were verb phrases follow: Add Computed Column becomes
Computed Columns, Refresh Column becomes Column Refresh, Configuring Storage
becomes Configuration, and Explain becomes Query Plans, which is also more
accurate now that the page covers analyze as well.

SQL statement pages take the keyword -- SELECT, DDL, DML, REFRESH, SHOW, EXPLAIN
-- because a statement name is a noun and lowercase Select and Show read as
instructions. Concept pages there keep noun phrases: Joins, Window Functions,
Subqueries, Operators.

Two duplicate labels are resolved on the way. Reranking sat in Semantic Search
labelled Overview despite being the only page on its subject, and the Enterprise
client page sat in SQL Reference labelled SQL next to the reference Overview; it
is Client Connection now.

Title case leaves prepositions and articles lowercase, so Needle in a Haystack
and Hybrid Search on BEIR are already correct and unchanged.
2026-09-14 01:16:43 -07:00

136 lines
3.7 KiB
Plaintext

---
title: "SELECT"
sidebarTitle: "SELECT"
description: "Projection, filtering, ordering, and composing queries out of other queries."
icon: table-columns
keywords: ["select", "where", "order by", "limit", "cte", "union", "distinct"]
---
<Badge color="red">Enterprise</Badge> [SQL runs on a deployment.](/sql)
```sql
[WITH cte AS (...)]
SELECT [ALL | DISTINCT] select_expr [, ...]
FROM from_item [[JOIN ...] ON ...]
[WHERE predicate]
[GROUP BY expr [, ...]] [HAVING predicate]
[WINDOW name AS (...)]
[ORDER BY expr [ASC | DESC] [NULLS FIRST | LAST] [, ...]]
[LIMIT n] [OFFSET n]
```
## Projection {#projection}
<CodeGroup>
```sql SQL
SELECT id, title, identifier FROM documents
```
```python Python icon="python"
tbl.search().select(["id", "title", "identifier"]).to_arrow()
```
```typescript TypeScript icon="square-js"
await tbl.query().select(["id", "title", "identifier"]).toArrow();
```
</CodeGroup>
Projection pushes into the scan in all three -- an unselected column is never
read off storage. On a table of images or video that is the difference between a
fast query and a slow one, so **prefer naming columns over `SELECT *`**.
Row metadata is available as [pseudo-columns](/sql/data-types#pseudo-columns)
(`_rowid`, `_rowaddr`, `_rowoffset`) but only when named, so they stay out of
`SELECT *`.
`DISTINCT` deduplicates the projected rows.
## Filtering {#filtering}
<CodeGroup>
```sql SQL
SELECT * FROM documents
WHERE identifier > 0 AND identifier < 1000000
```
```python Python icon="python"
tbl.search().where("identifier > 0 AND identifier < 1000000").to_arrow()
```
```typescript TypeScript icon="square-js"
await tbl.query().where("identifier > 0 AND identifier < 1000000").toArrow();
```
</CodeGroup>
The SDK `where` takes the same expression language, so a predicate moves between
them unchanged. A predicate on an indexed column becomes a `ScalarIndexQuery`
rather than a scan -- confirm with [`explain_plan`](/search/explain). See
[Filtering](/search/filtering) for the operators and their pushdown behaviour.
## Ordering and limiting {#order-limit}
```sql
SELECT id, title FROM documents
ORDER BY created_at DESC NULLS LAST
LIMIT 100 OFFSET 200
```
`ORDER BY` on a large table is a sort over the whole result, so pair it with a
`LIMIT` unless you genuinely need every row ordered.
## Set operations {#set-operations}
`UNION`, `UNION ALL`, `INTERSECT` and `EXCEPT` combine whole queries:
```sql
SELECT id FROM documents WHERE category = 'film'
UNION ALL
SELECT id FROM archived_documents WHERE category = 'film'
```
`UNION` deduplicates and `UNION ALL` does not, which makes `UNION ALL` the
cheaper one when you already know the inputs are disjoint.
## Common table expressions {#ctes}
```sql
WITH recent AS (
SELECT * FROM documents WHERE created_at > now() - INTERVAL '7 days'
)
SELECT category, count(*) FROM recent GROUP BY category
```
A CTE is scoped to the statement. One you want to keep is a
[view](/management/view); one whose rows you want stored is a
[materialized view](/management/materialized-view).
## Subqueries {#subqueries}
Subqueries are allowed anywhere an expression or a relation is -- in `FROM`, in
`WHERE` with `IN` or `EXISTS`, and as a scalar in the select list:
```sql
SELECT title
FROM documents
WHERE category_id IN (SELECT id FROM categories WHERE active)
```
## Namespaced tables {#namespaces}
A table inside a [namespace](/management/namespace) is written as a dotted path:
```sql
SELECT * FROM prod.events.clicks
```
## Reading the plan {#plans}
`EXPLAIN` and `EXPLAIN ANALYZE` work as DataFusion defines them, and produce the
same operators the SDK methods do:
```sql
EXPLAIN ANALYZE SELECT * FROM documents WHERE identifier < 1000
```
See [Explain](/search/explain) and [Explain Analyze](/search/explain).