mirror of
https://github.com/lancedb/lancedb.git
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Move the public website pages into `docs/web` beside the SDK, with
shared navigation and executable example sources in `docs/web-tests`.
The combined website is assembled by
[lancedb/docs#355](https://github.com/lancedb/docs/pull/355), with six
Enterprise replacements from
[lancedb/sophon#7681](https://github.com/lancedb/sophon/pull/7681).
This includes Function guidance, runnable Quickstarts, regenerated
snippets, production contact/demo fixes, the legacy SQL route, and the
LeRobot redirect. LeRobot remains attributed to Geneva; all 34 Geneva
pages remain in the docs repository until Function officially launches.
Materialized-view guidance follows the full rebuild refresh introduced
by #4373: local refresh writes the complete result, has no `full`
argument, supports `source_version`, and no longer requires stable row
IDs. Deployment SQL refresh options and stable-ID setup are qualified by
version/configuration. Function input guidance distinguishes ordinary
stored columns from computed inputs supported by newer deployments.
**Validation:** independently accepted local checks include 95 Python
tests (real Enterprise excluded), eight TypeScript tests, Rust
Quickstart, snippet parity, typos, deterministic assembly, Mint
validation and links/anchors/redirects. The combined baseline retains
all 181 production routes and 17 legacy redirects. Examples ran locally
against source-built Python SDK 0.40.0b13; existing GitHub workflows do
not run `docs/web-tests`. New main at `069b2f7d` is 0.41.0b0 and adds
computed Function inputs; that SDK was not exercised by the accepted
tests. Latest prose corrections receive focused site validation.
**Merge/rollout:** merge this and #7681 before #355's combined CI, which
reads producer `main`. This is migration infrastructure: section
overlays, source-owned skills and automatic versioned paired releases
remain follow-ups. The current manual publisher is transitional. Hosted
validation, a supported SDK/Enterprise release pair and a real
Enterprise walkthrough remain pending.
Production Mintlify watches `lancedb/docs:deploy-freeze`, directory
`docs`; preserve that source through review. The separate SDK GitHub
Pages reference workflow rebuilds on main merges.
**Updated-head CI (9a50f8db):**
[Typos](https://github.com/lancedb/lancedb/actions/runs/37654185443/job/112904990558),
[PR
title](https://github.com/lancedb/lancedb/actions/runs/37654179507/job/112904974595)
and
[Aikido](https://app.aikido.dev/featurebranch/scan/215386145?groupId=74229)
pass. Critical findings in the example lockfiles were patched: all Sharp
copies use 0.35.5, protobufjs 7.6.6, tar 7.5.22, quinn-proto 0.11.19,
zerovec 0.11.8 and zerovec-derive 0.11.6. The SDK's product dependencies
are unchanged. The revised lockfiles pass eight TypeScript examples,
HuggingFace decode/resize/crop/rescale/normalize plus AVIF roundtrip,
and Rust Quickstart. Aikido passing does not mean every advisory is
cleared; npm still reports 29 high and five moderate advisories in the
example dependency graph. No scanner bypass or suppression was added.
The Function prose correction passes combined/standalone Mint,
deterministic assembly, routes and assets. The revised 325-file site
checksum is
`175bec06864abb400dd292e667ba93448c0479b8359fd7bf6146afabf9040647`. This
PR remains open for independent review; further merges are on hold.
---------
Co-authored-by: Brendan Clement <brendan.clement@lancedb.com>
162 lines
5.3 KiB
TypeScript
162 lines
5.3 KiB
TypeScript
// SPDX-License-Identifier: Apache-2.0
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// SPDX-FileCopyrightText: Copyright The LanceDB Authors
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import { expect, test } from "@jest/globals";
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import * as fs from "node:fs";
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import * as path from "node:path";
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// --8<-- [start:basic_imports]
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import * as lancedb from "@lancedb/lancedb";
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import * as arrow from "apache-arrow";
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// --8<-- [end:basic_imports]
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import { withTempDirectory } from "./util.ts";
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const dataPath = path.join(__dirname, "..", "camelot.json");
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test("basic usage examples (async)", async () => {
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await withTempDirectory(async (databaseDir) => {
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const db = await lancedb.connect(databaseDir);
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// --8<-- [start:data_load]
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const data = JSON.parse(fs.readFileSync(dataPath, "utf-8"));
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// --8<-- [end:data_load]
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// --8<-- [start:basic_create_table]
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let table = await db.createTable("camelot", data, {
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mode: "overwrite",
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});
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// --8<-- [end:basic_create_table]
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expect(await table.countRows()).toBe(8);
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// --8<-- [start:basic_open_table]
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table = await db.openTable("camelot");
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// --8<-- [end:basic_open_table]
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// --8<-- [start:basic_create_empty_table]
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const schema = new arrow.Schema([
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new arrow.Field("id", new arrow.Int16()),
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new arrow.Field("name", new arrow.Utf8()),
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new arrow.Field("role", new arrow.Utf8()),
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new arrow.Field("description", new arrow.Utf8()),
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new arrow.Field(
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"vector",
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new arrow.FixedSizeList(
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4,
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new arrow.Field("item", new arrow.Float32(), true),
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),
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),
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new arrow.Field(
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"stats",
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new arrow.Struct([
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new arrow.Field("strength", new arrow.Int8()),
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new arrow.Field("courage", new arrow.Int8()),
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new arrow.Field("magic", new arrow.Int8()),
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new arrow.Field("wisdom", new arrow.Int8()),
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]),
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),
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]);
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await db.createEmptyTable("camelot_empty", schema, { mode: "overwrite" });
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// --8<-- [end:basic_create_empty_table]
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expect(await db.tableNames()).toContain("camelot_empty");
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await db.dropTable("camelot_empty");
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// --8<-- [start:basic_add_data]
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const magicalCharacters = [
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{
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id: 9,
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name: "Morgan le Fay",
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role: "Sorceress",
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description:
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"A powerful enchantress, Arthur's half-sister, and a complex figure who oscillates between aiding and opposing Camelot.",
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vector: [0.1, 0.84, 0.25, 0.7],
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stats: { strength: 2, courage: 3, magic: 5, wisdom: 4 },
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},
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{
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id: 10,
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name: "The Lady of the Lake",
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role: "Mystical Guardian",
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description:
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"A mysterious supernatural figure associated with Avalon, known for giving Arthur the sword Excalibur.",
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vector: [0.0, 0.9, 0.58, 0.88],
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stats: { strength: 2, courage: 3, magic: 5, wisdom: 5 },
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},
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];
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await table.add(magicalCharacters);
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// --8<-- [end:basic_add_data]
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expect(await table.countRows()).toBe(10);
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// --8<-- [start:basic_vector_search]
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const queryVector = [0.03, 0.85, 0.61, 0.9];
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const result = await table.search(queryVector).limit(5).toArray();
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console.log(result);
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// --8<-- [end:basic_vector_search]
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// --8<-- [start:basic_add_columns]
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await table.addColumns([
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{
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name: "power",
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valueSql:
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"cast(((stats.strength + stats.courage + stats.magic + stats.wisdom) / 4.0) as float)",
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},
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]);
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// --8<-- [end:basic_add_columns]
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const schemaWithPower = await table.schema();
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expect(schemaWithPower.fields.some((f) => f.name === "power")).toBe(true);
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// --8<-- [start:basic_vector_search_q1]
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// Who are the characters similar to "wizard"?
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const queryVector1 = [0.03, 0.85, 0.61, 0.9];
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const r1 = await table
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.search(queryVector1)
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.limit(5)
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.select(["name", "role", "description"])
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.toArray();
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console.log(r1);
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// --8<-- [end:basic_vector_search_q1]
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// --8<-- [start:basic_vector_search_q2]
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// Who are the characters similar to "wizard" with high magic stats?
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const queryVector2 = [0.03, 0.85, 0.61, 0.9];
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const r2 = await table
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.search(queryVector2)
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.where("stats.magic > 3")
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.select(["name", "role", "description"])
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.limit(5)
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.toArray();
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console.log(r2);
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// --8<-- [end:basic_vector_search_q2]
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// --8<-- [start:basic_vector_search_q3]
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// Who are the strongest characters?
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const r3 = await table
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.query()
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.where("stats.strength > 3")
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.select(["name", "role", "description"])
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.limit(5)
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.toArray();
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console.log(r3);
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// --8<-- [end:basic_vector_search_q3]
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// --8<-- [start:basic_vector_search_q4]
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// Who are the strongest characters?
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const r4 = await table
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.query()
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.select(["name", "role", "description", "power"])
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.toArray();
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console.log(r4);
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// --8<-- [end:basic_vector_search_q4]
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// --8<-- [start:basic_drop_columns]
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await table.dropColumns(["power"]);
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// --8<-- [end:basic_drop_columns]
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// --8<-- [start:basic_delete_rows]
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await table.delete('role = "Traitor Knight"');
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// --8<-- [end:basic_delete_rows]
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expect(await table.countRows()).toBe(9);
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// --8<-- [start:basic_drop_table]
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await db.dropTable("camelot");
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// --8<-- [end:basic_drop_table]
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expect(await db.tableNames()).not.toContain("camelot");
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});
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});
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