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import Link from "next/link";
import type { Metadata } from "next";
import type { ReactNode } from "react";
import { DocsSearch } from "@/components/docs-search";
import { Footer } from "@/components/footer";
import { HelpfulVote } from "@/components/helpful-vote";
import { Nav } from "@/components/nav";
import { SITE } from "@/lib/site";
// Section heading with a shareable `#` anchor link — keeps every h2 id
// linkable for humans and quotable-with-anchor for AI tools.
function H2({ id, children }: { id: string; children: ReactNode }) {
return (
<h2 id={id}>
{children}
<a
className="heading-anchor"
href={`#${id}`}
aria-label="Link to this section"
>
#
</a>
</h2>
);
}
// SEO targeting: primary "SQLRite documentation / getting started with the
// embedded Rust database"; secondary "embedded database tutorial Rust",
// "vector search Rust quickstart", "BM25 Rust", "MCP server SQLite".
// See web/seo/keywords.md.
const TITLE =
"SQLRite docs — getting started with the embedded Rust database";
const DESCRIPTION =
"Install SQLRite, open your first .sqlrite file, and run SQL — transactions, JOINs, HNSW vector search, BM25 full-text, an MCP server, and six language SDKs.";
export const metadata: Metadata = {
title: TITLE,
description: DESCRIPTION,
alternates: { canonical: "/docs" },
openGraph: {
type: "article",
siteName: "SQLRite",
locale: "en_US",
url: `${SITE.url}/docs`,
title: TITLE,
description: DESCRIPTION,
},
twitter: {
card: "summary_large_image",
site: SITE.twitterHandle,
creator: SITE.twitterHandle,
title: TITLE,
description: DESCRIPTION,
},
};
const breadcrumbJsonLd = {
"@context": "https://schema.org",
"@type": "BreadcrumbList",
itemListElement: [
{
"@type": "ListItem",
position: 1,
name: "Home",
item: SITE.url,
},
{
"@type": "ListItem",
position: 2,
name: "Docs",
item: `${SITE.url}/docs`,
},
],
};
export default function DocsPage() {
return (
<>
<script
type="application/ld+json"
dangerouslySetInnerHTML={{
__html: JSON.stringify(breadcrumbJsonLd),
}}
/>
<Nav variant="docs" />
<details className="docs-mobile-menu">
<summary>
<span>On this page</span>
</summary>
<div className="docs-mobile-menu-panel">
<div className="section-label">Getting started</div>
<a href="#install">Install</a>
<a href="#first-db">Your first database</a>
<a href="#repl">Using the REPL</a>
<a href="#persistence">Persistence & the WAL</a>
<a href="#transactions">Transactions</a>
<a href="#joins">JOINs</a>
<a href="#aggregates">GROUP BY & aggregates</a>
<a href="#alter-drop">ALTER / DROP / VACUUM</a>
<a href="#prepared">Prepared statements</a>
<a href="#pragma">PRAGMA</a>
<a href="#vector">Vector search</a>
<a href="#fts">Full-text search</a>
<a href="#desktop">Desktop app</a>
<a href="#mcp">MCP server</a>
<div className="section-label">Embedding</div>
<a href="#sdk-rust">Rust crate</a>
<a href="#sdk-python">Python</a>
<a href="#sdk-node">Node.js</a>
<a href="#sdk-go">Go</a>
<a href="#sdk-c">C FFI</a>
<a href="#sdk-wasm">WASM</a>
<div className="section-label">Reference</div>
<a href="#supported">Supported SQL</a>
<a href="#errors">Errors & limits</a>
<a href="#contributing">Contributing</a>
</div>
</details>
<div className="docs-shell">
<aside className="docs-side">
<div className="section-label">Getting started</div>
<a href="#install">Install</a>
<a href="#first-db">Your first database</a>
<a href="#repl">Using the REPL</a>
<a href="#persistence">Persistence & the WAL</a>
<a href="#transactions">Transactions</a>
<a href="#joins">JOINs</a>
<a href="#aggregates">GROUP BY & aggregates</a>
<a href="#alter-drop">ALTER / DROP / VACUUM</a>
<a href="#prepared">Prepared statements</a>
<a href="#pragma">PRAGMA</a>
<a href="#vector">Vector search</a>
<a href="#fts">Full-text search</a>
<a href="#desktop">Desktop app</a>
<a href="#mcp">MCP server</a>
<div className="section-label">Embedding</div>
<a href="#sdk-rust">Rust crate</a>
<a href="#sdk-python">Python</a>
<a href="#sdk-node">Node.js</a>
<a href="#sdk-go">Go</a>
<a href="#sdk-c">C FFI</a>
<a href="#sdk-wasm">WASM</a>
<div className="section-label">Reference</div>
<a href="#supported">Supported SQL</a>
<a href="#errors">Errors & limits</a>
<a href="#contributing">Contributing</a>
</aside>
{/* data-pagefind-body scopes the Pagefind index to docs content;
pages without the attribute stay out of the search index. */}
<main className="docs-main" data-pagefind-body>
<DocsSearch />
<span className="eyebrow">docs · getting started</span>
<h1 style={{ marginTop: 18 }}>
SQLRite docs — getting started with the embedded Rust database
</h1>
<p className="lede">
SQLRite is an embedded SQL + vector database in Rust. This page is
a ten-minute tour from <code>cargo install</code> to a persistent
on-disk <code>.sqlrite</code> file — transactions, JOINs, HNSW
vector search, BM25 full-text, and the MCP server. Skip ahead to{" "}
<a href="#vector">vector search</a>,{" "}
<a href="#fts">full-text search</a>, the{" "}
<a href="#mcp">MCP server</a>, or pick the SDK that fits your
language at the <a href="#sdk-rust">bottom</a> — they all wrap the
same engine.
</p>
<H2 id="install">Install</H2>
<p>
SQLRite ships as a CLI binary, a Rust library, an MCP stdio server,
and five language SDKs. Pick whichever matches your project:
</p>
<pre>
<span className="cmt"># CLI / REPL — drop into a SQL prompt</span>
{"\n"}
<span className="prompt">$</span> cargo install sqlrite-engine
{"\n\n"}
<span className="cmt"># MCP stdio server</span>
{"\n"}
<span className="prompt">$</span> cargo install sqlrite-mcp
{"\n\n"}
<span className="cmt"># Rust library — imported as `use sqlrite::…`</span>
{"\n"}
<span className="prompt">$</span> cargo add sqlrite-engine
{"\n\n"}
<span className="cmt"># Python · Node · Go</span>
{"\n"}
<span className="prompt">$</span> pip install sqlrite{"\n"}
<span className="prompt">$</span> npm install @joaoh82/sqlrite{"\n"}
<span className="prompt">$</span> go get
github.com/joaoh82/rust_sqlite/sdk/go
</pre>
<div className="callout">
<strong>Prebuilt installers</strong> for the desktop GUI (macOS
.dmg, Windows .msi, Linux AppImage / .deb / .rpm) are attached to
every release on GitHub. The header exposes <code>New…</code> /{" "}
<code>Open…</code> / <code>Save As…</code> buttons; installers are
unsigned until Phase 6.1 — see the README for first-launch steps.
</div>
<H2 id="first-db">Your first database</H2>
<p>
Create a file-backed database and run some SQL. Everything below
works against an in-memory or on-disk database — the only
difference is whether you pass a path.
</p>
<pre>
<span className="prompt">$</span> sqlrite{"\n\n"}
SQLRite — {SITE.version}
{"\n"}
<span className="cmt">
Connected to a transient in-memory database.
</span>
{"\n"}
<span className="cmt">
Use '.open FILENAME' to reopen on a persistent database.
</span>
{"\n"}
sqlrite> <span className="kw">CREATE TABLE</span> users (
{"\n"}
{" ...> "}id <span className="kw">INTEGER PRIMARY KEY</span>,
{"\n"}
{" ...> "}name <span className="kw">TEXT NOT NULL</span>{" "}
<span className="kw">UNIQUE</span>,{"\n"}
{" ...> "}age <span className="kw">INTEGER</span>
{"\n"}
{" ...> "});{"\n"}
sqlrite> <span className="kw">INSERT INTO</span> users (name,
age) <span className="kw">VALUES</span> (
<span className="str">'alice'</span>,{" "}
<span className="num">30</span>);{"\n"}
sqlrite> <span className="kw">SELECT</span> *{" "}
<span className="kw">FROM</span> users;{"\n"}
+----+-------+-----+{"\n"}| id | name | age |{"\n"}
+----+-------+-----+{"\n"}| 1 | alice | 30 |{"\n"}
+----+-------+-----+
</pre>
<H2 id="repl">Using the REPL</H2>
<p>
The REPL is built on rustyline and supports history, syntax
highlighting, bracket matching, and multi-line input. Useful meta
commands:
</p>
<ul>
<li>
<code>.help</code> — list every meta command
</li>
<li>
<code>.open app.sqlrite</code> — open or create a file-backed
database; auto-save flips on from this point
</li>
<li>
<code>.save app.sqlrite</code> — explicit flush (rarely needed
once <code>.open</code> is in play)
</li>
<li>
<code>.tables</code> — list every table in the current database
</li>
<li>
<code>.ask</code> — natural-language → SQL via the configured LLM
backend (requires <code>SQLRITE_LLM_API_KEY</code>)
</li>
<li>
<code>.exit</code> — leave the prompt
</li>
</ul>
<p>
Pass <code>--readonly</code> to open the database under a shared
lock — multiple read-only sessions can coexist on the same file.
</p>
<H2 id="persistence">Persistence & the WAL</H2>
<p>
SQLRite stores each database as one <code>.sqlrite</code> file plus
a sidecar <code><db>.sqlrite-wal</code>. Pages are 4 KiB; rows
live in cell-based pages with a slot directory; oversized rows
spill into an overflow chain.
</p>
<p>
Commits append a frame per dirty page to the WAL plus a final
commit frame carrying the new page-0 header. The main file stays
frozen between checkpoints — auto-checkpointing fires past 100
frames.
</p>
<p>
<strong>Crash safety:</strong> torn or partial trailing WAL frames
are silently truncated at the boundary; the decoded page-0 frame
overrides any stale main-file header on reopen.
</p>
<H2 id="transactions">Transactions</H2>
<p>
SQLRite supports real <code>BEGIN</code> / <code>COMMIT</code> /{" "}
<code>ROLLBACK</code> with snapshot isolation. Single level — no
savepoints yet.
</p>
<pre>
sqlrite> <span className="kw">BEGIN</span>;{"\n"}
sqlrite> <span className="kw">UPDATE</span> users{" "}
<span className="kw">SET</span> age = age +{" "}
<span className="num">1</span> <span className="kw">WHERE</span>{" "}
name = <span className="str">'alice'</span>;{"\n"}
sqlrite> <span className="kw">DELETE FROM</span> users{" "}
<span className="kw">WHERE</span> age <{" "}
<span className="num">18</span>;{"\n"}
sqlrite> <span className="kw">ROLLBACK</span>;{" "}
<span className="cmt">
-- everything since BEGIN is discarded
</span>
</pre>
<H2 id="joins">JOINs</H2>
<p>
All four SQL-standard JOIN flavors are supported with explicit{" "}
<code>ON</code> conditions:{" "}
<code>INNER JOIN</code>, <code>LEFT [OUTER] JOIN</code>,{" "}
<code>RIGHT [OUTER] JOIN</code>, and{" "}
<code>FULL [OUTER] JOIN</code>. Aliases work; multi-join chains
left-fold; self-joins require an alias on at least one side.
</p>
<pre>
<span className="kw">SELECT</span> c.name, o.total{"\n"}
<span className="kw">FROM</span> customers <span className="kw">AS</span> c{"\n"}
<span className="kw">LEFT OUTER JOIN</span> orders <span className="kw">AS</span> o{"\n"}
{" "}<span className="kw">ON</span> c.id = o.customer_id{"\n"}
<span className="kw">WHERE</span> o.id <span className="kw">IS NULL</span>;{" "}
<span className="cmt">-- anti-join: customers with no orders</span>
</pre>
<p>
The executor uses a plain nested-loop driver — adequate for an
embedded learning database. Hash / merge joins on equi-join shapes
are a future optimization.{" "}
<code>ON</code>, <code>USING (col)</code>, <code>NATURAL</code>, and{" "}
<code>CROSS JOIN</code> are all supported (a <code>USING</code> /{" "}
<code>NATURAL</code> column shows once in <code>SELECT *</code>).
Comma-separated FROMs (<code>FROM a, b</code>) are not — use an
explicit <code>JOIN</code> / <code>CROSS JOIN</code>. Aggregates /{" "}
<code>GROUP BY</code> / <code>DISTINCT</code> /{" "}
<code>HAVING</code> compose over join results, with optionally
qualified keys (<code>GROUP BY customers.name</code>).
</p>
<H2 id="aggregates">GROUP BY & aggregates</H2>
<p>
<code>COUNT(*)</code>, <code>COUNT(col)</code>,{" "}
<code>COUNT(DISTINCT col)</code>, <code>SUM</code>, <code>AVG</code>,{" "}
<code>MIN</code>, <code>MAX</code> with optional{" "}
<code>GROUP BY</code> on bare column names. Integer{" "}
<code>SUM</code> stays integer until a <code>REAL</code> arrives or{" "}
<code>i64</code> overflows; <code>AVG</code> returns{" "}
<code>REAL</code> (or <code>NULL</code> on empty groups);{" "}
<code>MIN</code> / <code>MAX</code> skip NULLs. Empty-group results
are <code>0</code> for counts and <code>NULL</code> for the rest.
</p>
<pre>
<span className="kw">SELECT</span> dept,{" "}
<span className="kw">COUNT</span>(*),{" "}
<span className="kw">AVG</span>(salary){"\n"}
<span className="kw">FROM</span> employees{"\n"}
<span className="kw">WHERE</span> active = <span className="kw">TRUE</span>{"\n"}
<span className="kw">GROUP BY</span> dept{"\n"}
<span className="kw">HAVING</span> <span className="kw">COUNT</span>(*) > 1{"\n"}
<span className="kw">ORDER BY</span> <span className="kw">COUNT</span>(*){" "}
<span className="kw">DESC</span>;
</pre>
<p>
<code>DISTINCT</code> applies after projection (and after
aggregation, when both apply). <code>LIKE</code> /{" "}
<code>NOT LIKE</code> / <code>ILIKE</code> use SQLite-style ASCII
case folding.{" "}
<code>IN (literal-list)</code> uses three-valued logic.{" "}
<code>HAVING</code> filters groups after aggregation — it can
reference <code>GROUP BY</code> columns, aggregate aliases, or
aggregate calls directly (<code>HAVING COUNT(*) > 1</code>),
and requires <code>GROUP BY</code>.
</p>
<H2 id="alter-drop">ALTER TABLE / DROP / VACUUM</H2>
<p>
Schema evolution is one operation per statement (SQLite parity):
</p>
<pre>
<span className="kw">ALTER TABLE</span> users <span className="kw">RENAME TO</span> accounts;{"\n"}
<span className="kw">ALTER TABLE</span> accounts <span className="kw">RENAME COLUMN</span> name <span className="kw">TO</span> display_name;{"\n"}
<span className="kw">ALTER TABLE</span> accounts <span className="kw">ADD COLUMN</span> verified <span className="kw">BOOLEAN</span> <span className="kw">NOT NULL</span> <span className="kw">DEFAULT</span> <span className="kw">FALSE</span>;{"\n"}
<span className="kw">ALTER TABLE</span> accounts <span className="kw">DROP COLUMN</span> legacy_field;{"\n\n"}
<span className="kw">DROP TABLE</span> <span className="kw">IF EXISTS</span> stale_logs;{"\n"}
<span className="kw">DROP INDEX</span> <span className="kw">IF EXISTS</span> idx_old_search;
</pre>
<p>
Released pages go onto a persisted free-list — subsequent{" "}
<code>CREATE TABLE</code> / <code>INSERT</code> reuses them
instead of growing the file. Auto-VACUUM kicks in when the
free-list crosses 25% of <code>page_count</code> (skipped on
tiny / in-memory / read-only databases). Manual:
</p>
<pre><span className="kw">VACUUM</span>;</pre>
<H2 id="prepared">Prepared statements</H2>
<p>
Every executable statement accepts <code>?</code> placeholders
anywhere a value literal is allowed. The Rust API:
</p>
<pre>
<span className="kw">use</span> sqlrite::{"{Connection, Value}"};{"\n\n"}
<span className="kw">let mut</span> conn = Connection::open(<span className="str">"app.sqlrite"</span>)?;{"\n"}
<span className="kw">let mut</span> ins = conn.prepare_cached({"\n"}
{" "}<span className="str">"INSERT INTO users (name, age) VALUES (?, ?)"</span>,{"\n"}
)?;{"\n"}
ins.execute_with_params(&[Value::Text(<span className="str">"alice"</span>.into()), Value::Integer(<span className="num">30</span>)])?;{"\n"}
ins.execute_with_params(&[Value::Text(<span className="str">"bob"</span>.into()), Value::Integer(<span className="num">25</span>)])?;{"\n\n"}
<span className="kw">let</span> stmt = conn.prepare_cached(<span className="str">"SELECT name FROM users WHERE age > ?"</span>)?;{"\n"}
<span className="kw">let</span> rows = stmt{"\n"}
{" "}.query_with_params(&[Value::Integer(<span className="num">26</span>)])?{"\n"}
{" "}.collect_all()?;
</pre>
<p>
<code>prepare_cached</code> keeps a per-connection LRU plan cache
(default cap 16; tune via <code>set_prepared_cache_capacity</code>)
so a hot SQL string parses exactly once across the
connection’s lifetime. <code>Value::Vector(Vec<f32>)</code>{" "}
binds where a bracket-array literal would normally appear — so
prepared k-NN queries still take the HNSW shortcut. Named
placeholders (<code>:foo</code>, <code>$1</code>) aren’t
supported yet.
</p>
<H2 id="pragma">PRAGMA</H2>
<p>
<code>PRAGMA <name>;</code> reads, <code>PRAGMA <name> = <value>;</code>{" "}
writes. The dispatcher is in place; the first wired pragma is{" "}
<code>auto_vacuum</code>:
</p>
<pre>
<span className="kw">PRAGMA</span> auto_vacuum;{" "}<span className="cmt">-- read; renders a single-row result</span>{"\n"}
<span className="kw">PRAGMA</span> auto_vacuum = <span className="num">0.5</span>;{" "}<span className="cmt">-- arm the trigger at 50%</span>{"\n"}
<span className="kw">PRAGMA</span> auto_vacuum = <span className="num">0</span>;{" "}<span className="cmt">-- arm at 0% (compact on any released page)</span>{"\n"}
<span className="kw">PRAGMA</span> auto_vacuum = <span className="kw">OFF</span>;{" "}<span className="cmt">-- disable; equivalent: NONE, 'OFF', 'NONE'</span>
</pre>
<p>
Out-of-range values, <code>NaN</code>, ±∞, and unknown identifiers
are rejected with typed errors — the trigger never silently
saturates. The setting is per-<code>Connection</code> runtime
state and isn’t persisted in the file header. Other pragmas
(<code>journal_mode</code>, <code>synchronous</code>,{" "}
<code>cache_size</code>, <code>page_size</code>, …) will land as
they earn their keep — adding a new pragma is a single arm in{" "}
<code>execute_pragma</code>.
</p>
<H2 id="vector">Vector search</H2>
<p>
SQLRite supports a <code>VECTOR(N)</code> column type with cosine,
dot-product, and L2 distance. Build an HNSW index for sub-linear
k-NN queries.
</p>
<pre>
<span className="kw">CREATE TABLE</span> docs (id{" "}
<span className="kw">INTEGER PRIMARY KEY</span>, body{" "}
<span className="kw">TEXT</span>, embedding{" "}
<span className="kw">VECTOR</span>(
<span className="num">384</span>));{"\n"}
<span className="kw">CREATE INDEX</span> docs_emb{" "}
<span className="kw">ON</span> docs(embedding){" "}
<span className="kw">USING HNSW</span>;{"\n\n"}
<span className="kw">SELECT</span> id,{" "}
<span className="kw">vec_distance_cosine</span>
(embedding, ?) <span className="kw">AS</span> dist{"\n"}
<span className="kw">FROM</span> docs{"\n"}
<span className="kw">ORDER BY</span> dist{" "}
<span className="kw">ASC</span>{" "}
<span className="kw">LIMIT</span>{" "}
<span className="num">10</span>;
</pre>
<H2 id="fts">Full-text search</H2>
<p>
Phase 8 ships an FTS5-style inverted index with BM25 scoring.{" "}
<code>fts_match()</code> filters and <code>bm25_score()</code>{" "}
ranks; the optimizer recognizes the canonical pattern and probes
the FTS index directly.
</p>
<pre>
<span className="kw">CREATE INDEX</span> docs_body{" "}
<span className="kw">ON</span> docs(body){" "}
<span className="kw">USING FTS</span>;{"\n\n"}
<span className="kw">SELECT</span> id, body,{" "}
<span className="kw">bm25_score</span>
(body, <span className="str">'rust database'</span>){" "}
<span className="kw">AS</span> score{"\n"}
<span className="kw">FROM</span> docs{"\n"}
<span className="kw">WHERE</span>{" "}
<span className="kw">fts_match</span>
(body, <span className="str">'rust database'</span>)
{"\n"}
<span className="kw">ORDER BY</span> score{" "}
<span className="kw">DESC</span>{" "}
<span className="kw">LIMIT</span>{" "}
<span className="num">10</span>;
</pre>
<p>
Compose with vector distance for hybrid retrieval — see
{" "}
<a
href={`${SITE.repo}/blob/main/examples/hybrid-retrieval`}
style={{ color: "var(--color-accent)" }}
>
examples/hybrid-retrieval
</a>
.
</p>
<H2 id="desktop">Desktop app</H2>
<p>
The desktop client is a Svelte 5 + Tauri 2.0 GUI. Three-pane
layout: header (file pickers), sidebar (tables + schema), and a
query editor with line numbers, <code>⌘/</code> comment toggle,
and selection-aware Run.
</p>
<p>
Download a prebuilt installer from the{" "}
<a
href={SITE.releasesLatest}
style={{ color: "var(--color-accent)" }}
>
latest release
</a>
, or run from source:
</p>
<pre>
<span className="prompt">$</span> cd desktop{"\n"}
<span className="prompt">$</span> npm install{"\n"}
<span className="prompt">$</span> npm run tauri dev
</pre>
<H2 id="mcp">MCP server</H2>
<p>
<code>sqlrite-mcp</code> exposes a SQLRite database as a Model
Context Protocol stdio server. Eight tools out of the box:{" "}
<code>list_tables</code>, <code>describe_table</code>,{" "}
<code>query</code>, <code>execute</code>, <code>schema_dump</code>,{" "}
<code>vector_search</code>, <code>bm25_search</code>, and{" "}
<code>ask</code>. Wire it into Claude Code, Cursor, or any MCP
client.
</p>
<pre>
<span className="prompt">$</span> sqlrite-mcp /path/to/app.sqlrite
{"\n"}
<span className="prompt">$</span> sqlrite-mcp --read-only
/path/to/app.sqlrite
</pre>
<H2 id="sdk-rust">Rust crate</H2>
<pre>
<span className="kw">use</span> sqlrite::Connection;{"\n\n"}
<span className="kw">fn</span> main() -> sqlrite::Result<()>
{" {"}
{"\n"}
{" "}
<span className="kw">let mut</span> conn = Connection::open(
<span className="str">"app.sqlrite"</span>)?;{"\n"}
{" "}conn.execute(
<span className="str">
"CREATE TABLE IF NOT EXISTS users (id INTEGER PRIMARY KEY,
name TEXT)"
</span>
)?;{"\n"}
{" "}conn.execute(
<span className="str">
"INSERT INTO users (name) VALUES ('alice')"
</span>
)?;{"\n"}
{" "}
<span className="kw">for</span> row{" "}
<span className="kw">in</span> conn.query(
<span className="str">
"SELECT id, name FROM users"
</span>
)? {"{"}
{"\n"}
{" "}
<span className="kw">let</span> id: i64 = row.get(
<span className="num">0</span>)?;{"\n"}
{" "}
<span className="kw">let</span> name: String = row.get(
<span className="num">1</span>)?;{"\n"}
{" "}println!(
<span className="str">"{`{id}: {name}`}"</span>);{"\n"}
{" "}
{"}"}
{"\n"}
{" "}Ok(()){"\n"}
{"}"}
</pre>
<H2 id="sdk-python">Python</H2>
<pre>
<span className="kw">import</span> sqlrite{"\n\n"}
<span className="kw">with</span> sqlrite.connect(
<span className="str">"app.sqlrite"</span>){" "}
<span className="kw">as</span> conn:{"\n"}
{" "}cur = conn.cursor(){"\n"}
{" "}cur.execute(
<span className="str">
"CREATE TABLE IF NOT EXISTS users (id INTEGER PRIMARY KEY,
name TEXT)"
</span>
){"\n"}
{" "}cur.execute(
<span className="str">
"INSERT INTO users (name) VALUES
('alice')"
</span>
){"\n"}
{" "}
<span className="kw">for</span> row{" "}
<span className="kw">in</span> cur.execute(
<span className="str">
"SELECT id, name FROM users"
</span>
).fetchall():{"\n"}
{" "}
<span className="kw">print</span>(row)
</pre>
<H2 id="sdk-node">Node.js</H2>
<pre>
<span className="kw">import</span> {"{"} Database {"}"}{" "}
<span className="kw">from</span>{" "}
<span className="str">"@joaoh82/sqlrite"</span>;{"\n\n"}
<span className="kw">const</span> db ={" "}
<span className="kw">new</span> Database(
<span className="str">"app.sqlrite"</span>);{"\n"}
db.exec(
<span className="str">
{
"`CREATE TABLE IF NOT EXISTS users (id INTEGER PRIMARY KEY, name TEXT)`"
}
</span>
);{"\n"}
db.prepare(
<span className="str">
"INSERT INTO users (name) VALUES (?)"
</span>
).run(<span className="str">"alice"</span>);{"\n"}
console.log(db.prepare(
<span className="str">
"SELECT id, name FROM users"
</span>
).all());
</pre>
<H2 id="sdk-go">Go</H2>
<pre>
<span className="kw">import</span> ({"\n"}
{" "}
<span className="str">"database/sql"</span>
{"\n"}
{" "}_{" "}
<span className="str">
"github.com/joaoh82/rust_sqlite/sdk/go"
</span>
{"\n"}
){"\n\n"}
db, _ := sql.Open(
<span className="str">"sqlrite"</span>,{" "}
<span className="str">"app.sqlrite"</span>);{"\n"}
db.Exec(
<span className="str">
"CREATE TABLE IF NOT EXISTS users (id INTEGER PRIMARY KEY,
name TEXT)"
</span>
);{"\n"}
db.Exec(
<span className="str">
"INSERT INTO users (name) VALUES (?)"
</span>
,{" "}
<span className="str">"alice"</span>);{"\n"}
rows, _ := db.Query(
<span className="str">
"SELECT id, name FROM users"
</span>
);
</pre>
<H2 id="sdk-c">C FFI</H2>
<p>
The C ABI is stable and ships with a cbindgen-generated{" "}
<code>sqlrite.h</code>. Opaque pointer types, thread-local
last-error, split <code>sqlrite_execute</code> (DDL/DML) vs{" "}
<code>sqlrite_query</code> / <code>sqlrite_step</code> (SELECT
iteration).
</p>
<H2 id="sdk-wasm">WASM</H2>
<p>
The engine compiles to a ~1.8 MB / 500 KB-gzipped WebAssembly
module. Three <code>wasm-pack</code> targets (web, bundler,
nodejs). The whole database can live in a browser tab.
</p>
<pre>
<span className="kw">import</span> init, {"{"} Database {"}"}{" "}
<span className="kw">from</span>{" "}
<span className="str">"@joaoh82/sqlrite-wasm"</span>;
{"\n\n"}
<span className="kw">await</span> init();{"\n"}
<span className="kw">const</span> db ={" "}
<span className="kw">new</span> Database();{"\n"}
db.exec(
<span className="str">
"CREATE TABLE users (id INTEGER PRIMARY KEY, name TEXT)"
</span>
);
</pre>
<H2 id="supported">Supported SQL</H2>
<p>
The complete reference lives in <code>docs/supported-sql.md</code>{" "}
in the repo. Quick summary:
</p>
<ul>
<li>
<strong>DDL:</strong> <code>CREATE TABLE</code> with{" "}
<code>PRIMARY KEY</code> / <code>UNIQUE</code> /{" "}
<code>NOT NULL</code> / <code>DEFAULT <literal></code>;{" "}
<code>CREATE [UNIQUE] INDEX</code> with{" "}
<code>IF NOT EXISTS</code>, <code>USING HNSW</code>, and{" "}
<code>USING FTS</code>; <code>ALTER TABLE</code> (RENAME TO /
RENAME COLUMN / ADD COLUMN / DROP COLUMN); <code>DROP TABLE</code>{" "}
and <code>DROP INDEX</code> with <code>IF EXISTS</code>;{" "}
<code>VACUUM</code>
</li>
<li>
<strong>DML:</strong> <code>INSERT</code> (multi-row VALUES),{" "}
<code>SELECT</code> (projection / <code>DISTINCT</code> /{" "}
<code>WHERE</code> / <code>GROUP BY</code> /{" "}
<code>ORDER BY</code> / <code>LIMIT</code>),{" "}
<code>UPDATE</code>, <code>DELETE</code>
</li>
<li>
<strong>JOINs:</strong> <code>INNER</code>,{" "}
<code>LEFT OUTER</code>, <code>RIGHT OUTER</code>,{" "}
<code>FULL OUTER</code> with explicit <code>ON</code>
</li>
<li>
<strong>Aggregates:</strong> <code>COUNT(*)</code>,{" "}
<code>COUNT(DISTINCT col)</code>, <code>SUM</code>,{" "}
<code>AVG</code>, <code>MIN</code>, <code>MAX</code>
</li>
<li>
<strong>Predicates:</strong> comparisons,{" "}
<code>AND / OR / NOT</code>, arithmetic, <code>||</code>,{" "}
<code>IS NULL</code> / <code>IS NOT NULL</code>,{" "}
<code>LIKE / NOT LIKE / ILIKE</code>,{" "}
<code>IN (literal-list)</code> / <code>NOT IN</code>
</li>
<li>
<strong>Transactions:</strong> <code>BEGIN</code> /{" "}
<code>COMMIT</code> / <code>ROLLBACK</code> with snapshot
isolation; auto-rollback on COMMIT disk failure
</li>
<li>
<strong>Prepared statements:</strong> positional <code>?</code>{" "}
binding via <code>prepare_cached</code> +{" "}
<code>execute_with_params</code> /{" "}
<code>query_with_params</code>; per-connection LRU plan cache
</li>
<li>
<strong>Pragmas:</strong> <code>PRAGMA auto_vacuum</code>{" "}
(read/write); extensible dispatcher
</li>
<li>
<strong>Types:</strong> INTEGER, TEXT, REAL, BOOLEAN, NULL,{" "}
<code>VECTOR(N)</code>, <code>JSON</code>
</li>
<li>
<strong>Functions:</strong>{" "}
<code>vec_distance_cosine / dot / l2</code>,{" "}
<code>fts_match</code>, <code>bm25_score</code>,{" "}
<code>json_extract</code>, <code>json_type</code>,{" "}
<code>json_array_length</code>, <code>json_object_keys</code>
</li>
</ul>
<H2 id="errors">Errors & limits</H2>
<p>
Every malformed input path returns a typed{" "}
<code>SQLRiteError</code> instead of panicking. Common error
categories:
</p>
<ul>
<li>
<strong>Parse</strong> — bad SQL syntax, with column hints from{" "}
<code>sqlparser</code>
</li>
<li>
<strong>Schema</strong> — duplicate columns, missing tables,
unknown identifiers
</li>
<li>
<strong>Type</strong> — <code>'foo'</code> being
inserted into an <code>INTEGER</code> column
</li>
<li>
<strong>Constraint</strong> — UNIQUE / PRIMARY KEY violations,
NOT NULL with no default
</li>
<li>
<strong>I/O</strong> — file already locked, WAL truncation, disk
full mid-commit
</li>
</ul>
<div className="callout">
<strong>Single-writer rule.</strong> Multiple read-only openers
coexist; any writer excludes all readers (POSIX flock semantics —
readers OR a writer, never both at once).
</div>
<H2 id="contributing">Contributing</H2>
<p>
SQLRite welcomes pull requests. For larger changes open an issue
first. The codebase is documented phase-by-phase in{" "}
<code>docs/</code> — start at <code>docs/_index.md</code>.
</p>
<ul>
<li>
Build & test: <code>cargo test</code>
</li>
<li>
Lint: <code>cargo fmt && cargo clippy</code>
</li>
<li>
Run the example: <code>cargo run --example quickstart</code>
</li>
</ul>
<div data-pagefind-ignore>
<H2 id="related">Related</H2>
<p>Keep going with the rest of the SQLRite surface:</p>
<ul>
<li>
<Link href="/playground">SQL playground</Link> — the full
engine compiled to WASM, runnable in your browser with sample
datasets and vector search
</li>
<li>
<Link href="/examples">Examples</Link> — runnable snippets per
language and use case
</li>
<li>
<Link href="/blog/sqlrite-vs-sqlite-benchmarks">
SQLRite vs SQLite: honest benchmarks
</Link>{" "}
— where the engine stands on the twelve-workload bench suite
</li>
<li>
<Link href="/blog/adding-vector-search-with-hnsw">
Adding vector search with HNSW
</Link>{" "}
— the design story behind <code>VECTOR(N)</code> and the HNSW
index
</li>
<li>
<a href={`${SITE.repo}/blob/main/docs/_index.md`}>
Developer guide
</a>{" "}
— the in-repo deep dives: file format, pager, B-tree, MVCC
</li>
</ul>
<HelpfulVote />
</div>
<div className="docs-cta" data-pagefind-ignore>
<a className="btn btn-primary" href={SITE.repo}>
View on GitHub
</a>
<a className="btn" href={SITE.discord}>
Join the Discord
</a>
<Link className="btn" href="/blog">
Read the SQLRite blog
</Link>
<Link className="btn" href="/">
← Back to the SQLRite home page
</Link>
</div>
</main>
<aside className="toc" aria-label="On this page">
<h2 className="toc-title">On this page</h2>
<a href="#install">Install</a>
<a href="#first-db">Your first database</a>
<a href="#repl">Using the REPL</a>
<a href="#persistence">Persistence & WAL</a>
<a href="#transactions">Transactions</a>
<a href="#joins">JOINs</a>
<a href="#aggregates">Aggregates</a>
<a href="#alter-drop">ALTER / DROP / VACUUM</a>
<a href="#prepared">Prepared statements</a>
<a href="#pragma">PRAGMA</a>
<a href="#vector">Vector search</a>
<a href="#fts">Full-text search</a>
<a href="#desktop">Desktop app</a>
<a href="#mcp">MCP server</a>
<a href="#sdk-rust">Rust</a>
<a href="#sdk-python">Python</a>
<a href="#sdk-node">Node.js</a>
<a href="#sdk-go">Go</a>
<a href="#sdk-c">C FFI</a>
<a href="#sdk-wasm">WASM</a>
<a href="#supported">Supported SQL</a>
<a href="#errors">Errors & limits</a>
<a href="#contributing">Contributing</a>
</aside>
</div>
<Footer />
</>
);
}