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>
148 lines
4.2 KiB
Rust
148 lines
4.2 KiB
Rust
// SPDX-License-Identifier: Apache-2.0
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// SPDX-FileCopyrightText: Copyright The LanceDB Authors
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//! This example demonstrates basic usage of LanceDb.
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//!
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//! Snippets from this example are used in the quickstart documentation.
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use std::sync::Arc;
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use arrow_array::types::Float32Type;
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use arrow_array::{FixedSizeListArray, Int32Array, RecordBatch, RecordBatchIterator};
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use arrow_schema::{DataType, Field, Schema};
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use futures::TryStreamExt;
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use lancedb::arrow::IntoArrow;
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use lancedb::connection::Connection;
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use lancedb::index::Index;
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use lancedb::query::{ExecutableQuery, QueryBase};
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use lancedb::{connect, Result, Table as LanceDbTable};
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// --8<-- [start:connect]
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#[tokio::main]
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async fn main() -> Result<()> {
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if std::path::Path::new("data").exists() {
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std::fs::remove_dir_all("data").unwrap();
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}
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// --8<-- [start:connect_uri]
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let uri = "data/sample-lancedb";
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let db = connect(uri).execute().await?;
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// --8<-- [end:connect_uri]
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// --8<-- [start:list_names]
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println!("{:?}", db.table_names().execute().await?);
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// --8<-- [end:list_names]
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let tbl = create_table(&db).await?;
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create_index(&tbl).await?;
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let batches = search(&tbl).await?;
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println!("{:?}", batches);
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create_empty_table(&db).await.unwrap();
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// --8<-- [start:delete]
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tbl.delete("id > 24").await.unwrap();
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// --8<-- [end:delete]
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// --8<-- [start:drop_table]
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db.drop_table("my_table").await.unwrap();
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// --8<-- [end:drop_table]
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Ok(())
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}
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// --8<-- [end:connect]
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#[allow(dead_code)]
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async fn open_with_existing_tbl() -> Result<()> {
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let uri = "data/sample-lancedb";
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let db = connect(uri).execute().await?;
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#[allow(unused_variables)]
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// --8<-- [start:open_existing_tbl]
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let table = db.open_table("my_table").execute().await.unwrap();
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// --8<-- [end:open_existing_tbl]
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Ok(())
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}
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fn create_some_records() -> Result<impl IntoArrow> {
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const TOTAL: usize = 1000;
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const DIM: usize = 128;
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let schema = Arc::new(Schema::new(vec![
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Field::new("id", DataType::Int32, false),
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Field::new(
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"vector",
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DataType::FixedSizeList(
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Arc::new(Field::new("item", DataType::Float32, true)),
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DIM as i32,
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),
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true,
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),
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]));
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// Create a RecordBatch stream.
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let batches = RecordBatchIterator::new(
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vec![RecordBatch::try_new(
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schema.clone(),
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vec![
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Arc::new(Int32Array::from_iter_values(0..TOTAL as i32)),
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Arc::new(
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FixedSizeListArray::from_iter_primitive::<Float32Type, _, _>(
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(0..TOTAL).map(|_| Some(vec![Some(1.0); DIM])),
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DIM as i32,
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),
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),
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],
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)
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.unwrap()]
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.into_iter()
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.map(Ok),
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schema.clone(),
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);
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Ok(Box::new(batches))
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}
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async fn create_table(db: &Connection) -> Result<LanceDbTable> {
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// --8<-- [start:create_table]
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let initial_data = create_some_records()?;
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let tbl = db
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.create_table("my_table", initial_data)
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.execute()
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.await
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.unwrap();
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// --8<-- [end:create_table]
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// --8<-- [start:add]
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let new_data = create_some_records()?;
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tbl.add(new_data).execute().await.unwrap();
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// --8<-- [end:add]
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Ok(tbl)
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}
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async fn create_empty_table(db: &Connection) -> Result<LanceDbTable> {
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// --8<-- [start:create_empty_table]
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let schema = Arc::new(Schema::new(vec![
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Field::new("id", DataType::Int32, false),
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Field::new("item", DataType::Utf8, true),
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]));
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db.create_empty_table("empty_table", schema).execute().await
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// --8<-- [end:create_empty_table]
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}
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async fn create_index(table: &LanceDbTable) -> Result<()> {
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// --8<-- [start:create_index]
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table.create_index(&["vector"], Index::Auto).execute().await
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// --8<-- [end:create_index]
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}
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async fn search(table: &LanceDbTable) -> Result<Vec<RecordBatch>> {
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// --8<-- [start:search]
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table
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.query()
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.limit(2)
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.nearest_to(&[1.0; 128])?
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.execute()
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.await?
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.try_collect::<Vec<_>>()
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.await
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// --8<-- [end:search]
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}
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