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docs: clean up prose flagged by the shared Vale rules (#4596)

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The existing docs have 254 findings from our shared Vale rules.
Contributors would otherwise inherit these when editing the same lines.

Clean up the prose across 80 pages: correct product names and a repeated
word, simplify a few phrases, and replace dashes with punctuation that
fits each sentence. The pinned Vale scan now reports zero findings, with
no suppressions.
This commit is contained in:
Brendan Clement
2026-10-19 13:45:55 -07:00
committed by GitHub
parent 1ad97b148b
commit 198812fd53
80 changed files with 252 additions and 252 deletions
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docs/web/sql/functions.mdx
+5 -5
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@@ -14,9 +14,9 @@ plus what Lance adds.
| | |
| --- | --- |
| [Scalar functions](/sql/scalar-functions) | per row — math, string, regex, date/time, array, struct, JSON |
| [Aggregate functions](/sql/dql/aggregation#functions) | per group — `count`, `sum`, statistical, approximate |
| [Window functions](/sql/dql/window#functions) | per window — ranking, offset, running aggregates |
| [Scalar functions](/sql/scalar-functions) | per row: math, string, regex, date/time, array, struct, JSON |
| [Aggregate functions](/sql/dql/aggregation#functions) | per group: `count`, `sum`, statistical, approximate |
| [Window functions](/sql/dql/window#functions) | per window: ranking, offset, running aggregates |
| [Table functions](#table-functions) | produce a relation rather than a value |
<Note>
@@ -51,7 +51,7 @@ and multi-match queries use this JSON encoding.
Its schema contains the dataset's columns plus `_score`, so every stored
column is available in the result. Projections push into the scan.
Being a relation is also what makes it compose — join it, filter it, aggregate
Being a relation is also what makes it compose: join it, filter it, aggregate
over it. This join additionally requires `my_docs.category_id` and a
`categories` table with `id` and `name` columns:
@@ -73,7 +73,7 @@ multi-match query forms.
### `_score` {#score}
A pseudo-column produced by `fts()`, carrying relevance for the row. It behaves
like any other column — order by it, filter on it, project it — and exists only
like any other column (order by it, filter on it, project it) and exists only
in a relation that came from `fts()`. See
[Data types](/sql/data-types#pseudo-columns).