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Author SHA1 Message Date
Brendan Clement cb6a1fafa6 refactor(remote): drop x-lancedb-min-version; use timestamp baseline for read-your-write 2026-05-28 20:05:10 -07:00
222 changed files with 5391 additions and 34098 deletions
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# Agent Skills
This directory contains repo-scoped code agent skills for the LanceDB project.
Each skill is a folder that contains a required `SKILL.md` and optional bundled resources.
Codex discovers skills from `.agents/skills` in the current working directory and parent directories.
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---
name: lancedb-update-lance-dependency
description: Update LanceDB to a specific Lance release or tag. Use when bumping Lance dependencies in the lancedb repository, including Rust workspace Lance crates, Java lance-core, validation, branch creation, commit, push, and PR creation when requested.
---
# LanceDB Update Lance Dependency
## Scope
Use this skill in the `lancedb/lancedb` repository when updating the Lance dependency to a specific Lance version or tag.
Inputs can be a version (`7.2.0-beta.1`), a tag (`v7.2.0-beta.1`), a tag ref (`refs/tags/v7.2.0-beta.1`), or `latest`.
## Workflow
1. Confirm the worktree status with `git status --short`.
2. Resolve the target Lance version:
- If the input is `latest`, empty, or omitted, run:
```bash
python3 ci/check_lance_release.py
```
Parse the JSON output. If `needs_update` is not `true`, stop without creating a PR. Otherwise use `latest_tag`.
- If the input is explicit, use it directly.
3. Compute update metadata without changing files:
```bash
python3 ci/update_lance_dependency.py "$TAG_OR_VERSION" --metadata-only
```
Before making changes, check for an existing open PR with the emitted `pr_title`:
```bash
gh pr list --search "\"$PR_TITLE\" in:title" --state open --limit 1 --json number,url,title
```
If a matching open PR exists, stop and report it instead of creating a duplicate.
4. Run the deterministic update entrypoint:
```bash
python3 ci/update_lance_dependency.py "$TAG_OR_VERSION"
```
This updates the Rust workspace Lance dependencies through `ci/set_lance_version.py`, updates `java/pom.xml`, refreshes Cargo metadata, and prints JSON metadata containing `branch_name`, `commit_message`, and `pr_title`.
5. Run validation:
```bash
cargo clippy --quiet --workspace --tests --all-features -- -D warnings
cargo fmt --all --quiet
```
Fix real diagnostics and rerun clippy until it succeeds. Do not skip warnings.
6. Inspect `git status --short` and `git diff` to ensure only the Lance dependency update and required compatibility fixes are present.
7. If the task only asks to prepare local changes, stop here and report the changed files and validation result.
8. If the task asks to publish the update, create a branch using the printed `branch_name`, stage all relevant files, and commit using the printed `commit_message`. Do not amend or rewrite existing commits.
9. Push to `origin`. Before creating the PR, check that the current token has push permission:
```bash
gh api repos/lancedb/lancedb --jq .permissions.push
```
If the remote branch already exists for the same generated branch name, delete the remote ref with `gh api -X DELETE repos/lancedb/lancedb/git/refs/heads/$BRANCH_NAME`, then push. Do not force-push.
10. Create a PR targeting `main` with the printed `pr_title`. If there is no PR template, keep the body to two or three concise sentences: state the Lance dependency bump, note any required compatibility fixes, and link the triggering Lance tag or release.
11. Read back the remote PR title after creation. If it is not a Conventional Commit title, fix it immediately.
12. When running in GitHub Actions after creating the LanceDB PR, trigger the Sophon dependency update:
```bash
gh workflow run codex-bump-lancedb-lance.yml \
--repo lancedb/sophon \
-f lance_ref="$LANCE_TAG" \
-f lancedb_ref="$BRANCH_NAME"
gh run list --repo lancedb/sophon --workflow codex-bump-lancedb-lance.yml --limit 1 --json databaseId,url,displayTitle
```
Use the emitted metadata `tag` value as `LANCE_TAG`. Do this only after a new LanceDB PR has been created. If the update was skipped because no update is needed or an open PR already exists, do not trigger Sophon.
## GitHub Actions
When this skill is used from GitHub Actions, `TAG`, `GH_TOKEN`, and `GITHUB_TOKEN` may already be set. Resolve `latest` first when `TAG` is empty. Once an explicit tag or version is known, use:
```bash
python3 ci/update_lance_dependency.py "$TAG" --github-output "$GITHUB_OUTPUT"
```
Then use the emitted `branch_name`, `commit_message`, and `pr_title` values for branch, commit, and PR creation.
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---
name: lancedb
description: Use when writing, reviewing, debugging, or documenting LanceDB pipelines in Python or TypeScript, especially code that should work across local LanceDB OSS tables and remote LanceDB Enterprise/Cloud tables. Helps avoid non-portable full-table materialization, choose idiomatic query/search patterns, and apply LanceDB performance defaults for ingestion, indexing, filtering, and diagnostics.
---
# Building LanceDB Pipelines
Use this skill to produce LanceDB pipelines that are portable between local and remote tables (for LanceDB Enterprise/Cloud) and idiomatic for the selected SDK.
## LanceDB Table Modes
LanceDB has two common execution modes:
- **Local table**: embedded, open source, in-process LanceDB. The client opens data from a local path or object storage URI and executes queries in the application process.
- **Remote table**: LanceDB Enterprise/Cloud table opened through a `db://...` URI. The data may be very large, commonly backed by object storage, and queried through a remote service.
Do NOT assume local-only table helpers exist on remote tables. If the user asks for LanceDB Enterprise, Cloud, `db://...`, production remote access, or a remote table, focus on the remote table path: use `search()` / `query()`, keep reads bounded with `select()` and `limit()`, and avoid table-level full materialization APIs.
## Workflow
1. Identify the SDK: Python, TypeScript, or both.
2. Identify the table mode: local/embedded OSS, remote Enterprise/Cloud, or portable across both. If the user says "LanceDB Enterprise", choose the remote table path.
3. Read the matching language branch before writing or changing code:
- Python patterns: `references/python/patterns.md`
- Python API quick reference: `references/python/api_reference.md`
- Python performance guidance: `references/python/performance.md`
- TypeScript patterns: `references/typescript/patterns.md`
- TypeScript API quick reference: `references/typescript/api_reference.md`
- TypeScript performance guidance: `references/typescript/performance.md`
- Column metadata authoring (both SDKs): `references/column_metadata.md`
- Branch operations (both SDKs): `references/branch_ops.md`
4. Start with `patterns.md` for the selected SDK. Read `api_reference.md` when choosing method names or return collectors. Read `performance.md` when the task involves ingestion, indexing, filtering, query tuning, diagnostics, or large datasets. Read `column_metadata.md` when the task is documenting, tagging, classifying, or grouping table columns (field descriptions, `lancedb:tag:*` tags, logical column families). Read `branch_ops.md` when the task involves branch lifecycle (list/create/delete), writing to a non-main branch, or verifying a change stayed off main.
5. For Python schemas, favor Pydantic models and validate records before writing. Use PyArrow schemas when Arrow-native, streaming, or highly dynamic data makes them materially better suited.
6. Prefer `search()` or `query()` builders with explicit `select()` and `limit()` for reads.
7. Avoid table-level full materialization in remote or portable code. This is the main local-vs-remote read pitfall.
8. After a successful embedded OSS ingestion, call `table.optimize()`. Do not call it for Enterprise/Cloud; remote maintenance is automatic.
9. For remote Enterprise/Cloud writes, never drop-then-reuse or `mode="overwrite"` the same table name — see "Enterprise: never drop-then-reuse the same table name" below. This is the main local-vs-remote write pitfall.
10. If reviewing an existing file or repo, run `scripts/check_materialization.py` on the relevant paths and inspect each finding before editing.
11. Cross-check unfamiliar or non-trivial API claims against the source tree instead of relying on memory.
## Core Portability Rule
Do not write code that assumes a local table API will exist on a remote table. Remote tables can be very large, so whole-table materialization helpers are intentionally unavailable or unsafe.
This does **not** mean result conversion is forbidden. Bounded query/search result collection is normal:
- Python: `table.search(...).select([...]).limit(10).to_pandas()`
- TypeScript: `await table.search(...).select([...]).limit(10).toArray()`
The unsafe pattern is table-level or unbounded collection, plus local-only dataset escape hatches in remote code:
- Python: `table.to_pandas()`, `table.to_arrow()`, `table.to_polars()`; `table.to_lance()` is local/OSS-only dataset access, not materialization
- TypeScript: `await table.toArrow()`, `await table.query().toArray()` without `limit()`
## Enterprise: never drop-then-reuse the same table name
LanceDB Enterprise/Cloud splits a **control plane** (DDL: create/drop/rename) from a **data plane** (query nodes that serve reads). Query nodes cache the resolved dataset for a table name for up to `table_cache_ttl`**default 300 seconds (5 minutes)**. After you drop or overwrite a table, the control plane updates immediately but the data plane keeps serving the *old* dataset until that cache entry expires. During the window the two planes disagree.
The failure this causes: you `drop_table("t")` then immediately `create_table("t", ...)` (or `create_table("t", ..., mode="overwrite")`). The DDL returns success, but every query against `t` returns **`500 Internal Server Error`** (the query node resolves the stale/deleted dataset), and a fresh `describe` may still show the *old* schema/version. It looks like your write silently failed; it didn't — the name is cached.
**`mode="overwrite"` has the same problem** — it is a drop+create of the same name under the hood.
Rules for portable Enterprise ingestion:
1. **Never reuse a table name you just dropped/overwrote within the cache TTL.** Do not use `mode="overwrite"` to replace an existing Enterprise table in place.
2. To (re)load data, **write to a fresh table name** (e.g. `<table>_v2`, or a run-stamped suffix). A brand-new name has no cached data-plane entry, so writes and reads work immediately.
3. Before creating, `list_tables()` and **fail loudly if the name already exists** rather than overwriting — prompt for a new name.
4. To land on a specific final name that is currently occupied by an old table: drop the old table, **wait out the TTL (~5 min), then `rename_table(fresh_name, final_name)`**. Renaming onto a name whose old dataset is still cached hits the same race, so the wait is mandatory. `rename_table` is a supported control-plane op.
5. When you hand a table name back to a human, tell them which step still needs the propagation wait (usually: "the old `t` was dropped; run the rename in ~5 minutes").
This is Enterprise/Cloud-specific. Local/OSS tables have no separate data plane, so `mode="overwrite"` and immediate same-name reuse are fine there.
## Script
Run the scanner when reviewing or modifying an existing codebase:
```bash
python skills/lancedb/scripts/check_materialization.py path/to/file_or_dir
```
The script reports likely unsafe full-table materialization in Python and TypeScript. Treat results as review prompts, not automatic proof of a bug.
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# Branch Operations
Manage branches on a LanceDB table: list what exists, create new ones, delete stale ones, and direct read/write operations at a specific branch without touching main. Use for branch lifecycle tasks, experimental/isolated table versions, targeting an operation at a non-main branch, or confirming a mutation did not affect main.
Works on local/OSS and remote Enterprise/Cloud tables.
## The branch model (important)
Branches are isolated, writable lines of history forked from another branch (or a specific version). Writes on a branch never affect `main`.
There is **no global "switch branch" state** — you never repoint the whole table at a branch. Instead, **operations are scoped by which table handle you use**:
- The handle you got from `open_table(name)` / `openTable(name)` targets `main`.
- `branches.create(...)` and `branches.checkout(...)` return a **new table handle scoped to that branch**. Every read/write on that handle (add, update, `update_field_metadata`, `create_index`, search, …) lands on the branch.
- The original main handle is unaffected — keep it around to verify isolation.
`branches.list()` returns only non-main branches. Main always exists and is not listed.
## Python
`table.branches` is a property returning the branch manager; `table.current_branch()` tells you what a handle is scoped to (`None` = main).
```python
table = db.open_table("products") # scoped to main
# list — dict of name -> metadata (parent_branch, parent_version, ...); {} = only main
table.branches.list()
# create: forks from main by default and returns a handle scoped to the new branch
exp = table.branches.create("experiment-reindex")
exp = table.branches.create("exp2", from_ref="main", from_version=None) # optional fork point
# checkout an existing branch -> branch-scoped handle
wip = table.branches.checkout("wip-branch")
# with version= it pins to that version (read-only detached view); omit to track latest, writable
# operate on the branch simply by using its handle
wip.update_field_metadata(
{"path": "category", "metadata": {"lancedb:description": "Product category label."}}
)
wip.create_scalar_index("category")
# delete: removes only the branch pointer; main and row data remain intact
table.branches.delete("stale-2024")
# alternatively, open a branch handle directly from the connection
wip = db.open_table("products", branch="wip-branch")
exp.current_branch() # "experiment-reindex"
table.current_branch() # None (main)
```
Async: same shape — `table.branches` returns `AsyncBranches`; `await table.branches.create(...)` etc.
## TypeScript
`table.branches()` is an **async method** returning the `Branches` manager; `table.currentBranch()` returns the scoped branch or `null` for main.
```typescript
const table = await db.openTable("products"); // scoped to main
const branches = await table.branches();
// list — Record<string, BranchContents>; {} = only main
await branches.list();
// create: forks from main by default, returns a Table scoped to the new branch
const exp = await branches.create("experiment-reindex");
const exp2 = await branches.create("exp2", "main" /* fromRef */, undefined /* fromVersion */);
// checkout an existing branch -> branch-scoped Table
const wip = await branches.checkout("wip-branch");
// with a version arg it pins (read-only detached view); omit to track latest, writable
// operate on the branch simply by using its handle
await wip.updateFieldMetadata([
{ path: "category", metadata: { "lancedb:description": "Product category label." } },
]);
await wip.createIndex("category");
// delete: removes only the branch pointer; main and row data remain intact
await branches.delete("stale-2024");
// alternatively, open a branch handle directly from the connection
const wip2 = await db.openTable("products", { branch: "wip-branch" });
exp.currentBranch(); // "experiment-reindex"
table.currentBranch(); // null (main)
```
## Verifying isolation
After writing to a branch, confirm the change did NOT land on main by reading through both handles:
```python
wip = table.branches.checkout("wip-branch")
wip.update_field_metadata({"path": "category", "metadata": {"lancedb:description": "..."}})
assert b"lancedb:description" in (wip.schema.field("category").metadata or {})
assert b"lancedb:description" not in (table.schema.field("category").metadata or {}) # main untouched
```
Two handles on the same branch see each other's writes (e.g. `table.branches.create("exp")` and `db.open_table(name, branch="exp")`); main stays isolated.
## Quick reference
| Goal | Python | TypeScript |
|------|--------|------------|
| List branches (non-main) | `table.branches.list()` | `await (await table.branches()).list()` |
| Create branch (off main) | `table.branches.create(name)` → branch handle | `await branches.create(name)` → branch `Table` |
| Create from a fork point | `table.branches.create(name, from_ref=..., from_version=...)` | `await branches.create(name, fromRef, fromVersion)` |
| Get a branch handle | `table.branches.checkout(name)` or `db.open_table(t, branch=name)` | `await branches.checkout(name)` or `await db.openTable(t, { branch: name })` |
| Pin to a branch version (read-only) | `table.branches.checkout(name, version=v)` | `await branches.checkout(name, v)` |
| Delete branch | `table.branches.delete(name)` | `await branches.delete(name)` |
| Which branch is this handle on? | `table.current_branch()` (`None` = main) | `table.currentBranch()` (`null` = main) |
| Target main | use the original (non-branch) handle | use the original (non-branch) handle |
Branch names must be non-empty; empty names raise a validation error.
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# Column Metadata Authoring
Write column-level descriptions, tags, and logical groupings onto a LanceDB table's schema. Use this when the user wants to document, annotate, tag, or classify what their table columns ARE (embeddings vs labels vs eval metrics, model provenance, version families, etc.).
Works on local/OSS and remote Enterprise/Cloud tables alike — read the schema through the table handle, write through `update_field_metadata` (Python) / `updateFieldMetadata` (TypeScript).
## Metadata key conventions
All metadata uses namespaced keys:
| Key | Purpose | Example value |
|-----|---------|---------------|
| `lancedb:description` | Human-readable explanation of what the column contains | `"CLIP ViT-L/14 image embedding, L2-normalized (768-dim)"` |
| `lancedb:tag:<name>` | Flexible key-value tag; the suffix names the tag category | `lancedb:tag:field_type: "embedding"`, `lancedb:tag:model: "clip"`, `lancedb:tag:project_id: "foo"` |
| `lancedb:logical-column` | Logical group/family this column belongs to | `"clip_features"` |
Tags are open-ended — use whatever key suffix and value make sense given the user's intent. The tag suffix should describe *what is being classified* (e.g., `field_type`, `model`, `project_id`) and the value describes *how*. Multiple tags on the same column are fine — each is a separate key. All values are strings.
## Step 1: Read the schema and existing metadata
Read existing metadata before writing, to avoid redundant updates.
Python — `table.schema` (sync property; async: `await table.schema()`) returns a `pyarrow.Schema`. **Arrow field metadata is bytes-keyed in Python**:
```python
schema = table.schema
for field in schema:
meta = field.metadata or {} # dict[bytes, bytes], e.g. {b"lancedb:description": b"..."}
print(field.name, field.type, field.nullable, meta)
```
TypeScript — `await table.schema()` returns an Arrow `Schema`; field metadata is a `Map<string, string>`:
```typescript
const schema = await table.schema();
for (const field of schema.fields) {
console.log(field.name, field.type, field.nullable, field.metadata); // Map
// field.metadata.get("lancedb:description")
}
```
For struct/nested fields, recurse into the field's children and address them as dot-paths (e.g., `parent.child`).
If the user hasn't specified which columns to update, work with all columns.
## Step 2: Generate metadata
Decide what to generate based on the user's request.
### Descriptions (`lancedb:description`)
Base descriptions on:
- The column name and Arrow type (e.g., `FixedSizeList` of floats → likely an embedding)
- User-supplied context (upstream pipeline, sample values, domain knowledge)
- Name patterns: `_embedding`/`_vec`/`_embed` → vector; `_label`/`_class` → label; `_score`/`_eval`/`_metric` → evaluation metric
Be specific and concise. Good: `"Sentence-BERT embedding of the query text (768-dim)."` Not: `"An embedding column."`
### Tags (`lancedb:tag:<name>`)
Choose tag key names that match what the user asked to annotate. Common patterns:
- Semantic field type → `lancedb:tag:field_type: "embedding"` / `"text"` / `"image"` / `"label"` / `"eval"` / `"id"` / `"metadata"`
- Model or source → `lancedb:tag:model: "clip"` / `"bert"` / `"vit"`
- Project affiliation → `lancedb:tag:project_id: "<name>"`
- Version → `lancedb:tag:version: "v3"` (and `lancedb:tag:latest: "true"` for the newest)
Use Arrow type as a hint: `FixedSizeList` + float → embedding; `Utf8`/`LargeUtf8` → text; `Binary` → image or blob.
### Logical groupings (`lancedb:logical-column`)
Look for naming patterns across columns:
- `clip_v1`, `clip_v2`, `clip_v3` → logical column `"clip"`, latest is `v3`
- `text_embed_20240101`, `text_embed_20240601` → logical column `"text_embed"`, latest is the most recent date suffix
Write `lancedb:logical-column` on all members of a group. Mark the newest with `lancedb:tag:latest: "true"` (in addition to its version tag).
## Step 3: Write the metadata
Each update names a field by dot-path and carries a metadata map. Semantics (identical in both SDKs):
- **Merge by default** (`replace` omitted/false) — preserves existing metadata the user didn't ask to change
- `replace: true` swaps the field's entire metadata map — only if the user explicitly asks to overwrite
- A value of `None`/`null` deletes that specific key
- Batch all field updates into a single call when possible
- Returns the new table version
Python (sync and async take one dict per field, as varargs):
```python
res = table.update_field_metadata(
{
"path": "clip_v3",
"metadata": {
"lancedb:description": "CLIP ViT-L/14 image embedding, L2-normalized (1024-dim).",
"lancedb:tag:field_type": "embedding",
"lancedb:tag:model": "clip",
"lancedb:tag:version": "v3",
"lancedb:tag:latest": "true",
"lancedb:logical-column": "clip",
},
},
{
"path": "clip_v2",
"metadata": {
"lancedb:description": "CLIP ViT-B/32 image embedding (768-dim), superseded by v3.",
"lancedb:tag:field_type": "embedding",
"lancedb:tag:model": "clip",
"lancedb:tag:version": "v2",
"lancedb:logical-column": "clip",
},
},
)
print(res.version) # new table version
# merge semantics: add a key, delete one via None, keep the rest
table.update_field_metadata(
{"path": "clip_v2", "metadata": {"lancedb:tag:archived": "true", "lancedb:tag:latest": None}}
)
```
(`replace_field_metadata` is deprecated — use `update_field_metadata`.)
TypeScript (takes an array of `FieldMetadataUpdate`):
```typescript
const res = await table.updateFieldMetadata([
{
path: "clip_v3",
metadata: {
"lancedb:description": "CLIP ViT-L/14 image embedding, L2-normalized (1024-dim).",
"lancedb:tag:field_type": "embedding",
"lancedb:tag:model": "clip",
"lancedb:tag:version": "v3",
"lancedb:tag:latest": "true",
"lancedb:logical-column": "clip",
},
},
{
path: "clip_v2",
metadata: {
"lancedb:description": "CLIP ViT-B/32 image embedding (768-dim), superseded by v3.",
"lancedb:tag:field_type": "embedding",
"lancedb:tag:model": "clip",
"lancedb:tag:version": "v2",
"lancedb:logical-column": "clip",
},
},
]);
console.log(res.version); // new table version
// merge semantics: add a key, delete one via null, keep the rest
await table.updateFieldMetadata([
{ path: "clip_v2", metadata: { "lancedb:tag:archived": "true", "lancedb:tag:latest": null } },
]);
```
## Step 4: Confirm
Report back:
- Which columns were updated and what was written
- The new table version number (from the result)
- Any columns skipped (e.g., already had up-to-date metadata)
## Quick examples
**"Write descriptions for all columns in the `product_embeddings` table"**
1. Read `table.schema` → all fields + existing metadata
2. Generate a `lancedb:description` for each column based on name + type
3. One `update_field_metadata` call with all descriptions
4. Report
**"Tag the columns in `model_outputs` with their field type and model"**
1. Read the schema
2. For each field, classify by name + Arrow type → set `lancedb:tag:field_type` and `lancedb:tag:model` where applicable
3. Write in one batched call
4. Report
**"Group the feature columns in `training_features` into logical families and mark the latest version"**
1. Read the schema
2. Find version patterns → assign `lancedb:logical-column` and `lancedb:tag:version`; mark newest with `lancedb:tag:latest: "true"`
3. Write in one batched call
4. Show the grouping
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# Python API Reference
Quick method reference for Python LanceDB code. Cross-check source for non-trivial claims.
## Connect
```python
import lancedb
db = lancedb.connect("./camelot-db") # local/OSS
db = lancedb.connect("db://my-db", api_key=api_key, region=region) # remote
```
**Place the local database directory next to the script/entrypoint that opens it** (i.e. resolve the path relative to the script, `Path(__file__).parent / "camelot-db"`), not buried under a shared `data/` folder. The Lance dataset is the database, not a data file — keeping it beside its code makes ownership obvious and paths stable regardless of the working directory the script is launched from.
**Do not name the directory `lancedb`** (e.g. `./lancedb`, `./data/lancedb`). It collides with the imported `lancedb` package name, which is confusing to read and easy to shadow in scripts. Give it a name derived from the repo or dataset with a clear prefix/suffix — for example `./<dataset>-db`, `./<repo>_lancedb`, or `./vectordb`.
Async:
```python
db = await lancedb.connect_async("./camelot-db")
```
## Table Reads
| Task | Preferred API |
| --- | --- |
| Vector search | `table.search(query_vector).limit(k)` |
| Full scan with filters/projection (sync) | `table.search().where(...).select(...).limit(...)` |
| Full scan with filters/projection (async) | `table.query().where(...).select(...).limit(...)` |
| Filter | `.where("col > 10")` |
| Projection | `.select(["id", "text"])` |
| Bound result count | `.limit(20)` |
| Collect bounded result as Python objects (default, no extra deps) | `.to_list()` on query/search result |
| Collect bounded result as Arrow (default, `pyarrow` always available) | `.to_arrow()` on query/search result |
| Collect bounded result as pandas (only if project uses pandas) | `.to_pandas()` on query/search result |
| Collect bounded result as Polars (only if project uses polars) | `.to_polars()` on query/search result |
## Sync vs Async Scan API
The plain-scan entry point differs between the sync and async clients. **Verified against `lancedb` 0.34.0** — re-check if the pinned version changes:
- **Sync** (`lancedb.connect(...)`): the table has **no `.query()` method**. Use `.search()` with no argument for a plain scan; it returns a query builder that supports `.where()`, `.select()`, `.limit()`, and the `.to_list()` / `.to_arrow()` / `.to_pandas()` / `.to_polars()` collectors.
```python
rows = table.search().where("status = 'ready'").select(["id", "text"]).limit(20).to_list()
```
- **Async** (`lancedb.connect_async(...)`): the table has **both** `.query()` and `.search()`. Use `.query()` for a plain scan.
```python
rows = await async_table.query().where("status = 'ready'").select(["id", "text"]).limit(20).to_list()
```
Do not call `table.query()` on a sync table — it raises `AttributeError`.
## Local vs Remote Table Methods
| API | Local table | Remote table | Agent guidance |
| --- | --- | --- | --- |
| `table.search(...)` | Yes | Yes | Preferred read path (sync + async) |
| `table.query()` | Async only | Async only | Sync scan path is `table.search()`; `.query()` is the async scan builder |
| `table.to_pandas()` | Yes | No / unsafe for portability | Avoid in portable code |
| `table.to_arrow()` | Yes | No / unsafe for portability | Avoid in portable code |
| `table.to_polars()` | Yes | No / unsafe for portability | Avoid in portable code |
| `table.to_lance()` | Yes | No | Local/OSS escape hatch only |
## Indexes
Use `create_index(...)` for vector indexes and modern index configs. Use scalar indexes for filtered or merge keys.
Common calls:
```python
table.create_index("vector")
table.create_scalar_index("status")
table.create_fts_index("text")
```
Check source docs before specifying advanced index config names or parameters.
## Filtering And Recall Knobs
```python
table.search(query_vector).where("status = 'ready'") # pre-filter by default
table.search(query_vector).where("status = 'ready'", prefilter=False)
table.search(query_vector).limit(10).refine_factor(20)
table.search(query_vector).limit(10).nprobes(50)
```
Use post-filtering only when fewer than `limit` results are acceptable.
## Diagnostics
```python
print(table.search(query_vector).where("year > 2000").limit(10).analyze_plan())
print(table.index_stats("vector_idx"))
```
Use these before changing indexes or search tuning.
## Column (Field) Metadata
```python
schema = table.schema # sync property; async: await table.schema()
meta = schema.field("category").metadata # dict[bytes, bytes] — Arrow metadata is bytes-keyed
res = table.update_field_metadata( # varargs: one dict per field; works local + remote
{"path": "category", "metadata": {"lancedb:description": "...", "lancedb:tag:field_type": "label"}}
)
res.version # new table version
```
Merges by default; a `None` value deletes that key; `"replace": True` swaps the whole map. Nested fields use dot-paths (`"a.b.c"`). `replace_field_metadata` is deprecated. See `references/column_metadata.md` for key conventions (`lancedb:description`, `lancedb:tag:<name>`, `lancedb:logical-column`) and the authoring workflow.
## Branches
```python
table.branches.list() # non-main branches; {} = only main
exp = table.branches.create("exp") # fork off main -> handle scoped to the branch
wip = table.branches.checkout("wip") # existing branch -> scoped handle (version= pins read-only)
wip = db.open_table("t", branch="wip") # or open scoped directly
table.branches.delete("stale") # removes only the branch pointer
table.current_branch() # None = main
```
There is no global switch — scoping is per table handle: any read/write on a branch handle lands on that branch; the original handle keeps targeting main. See `references/branch_ops.md` for the model and isolation checks.
## Maintenance
```python
table.optimize()
```
Call this after every successful local/OSS ingestion. It handles compaction, cleanup of old versions according to retention, and index optimization. Do not add this for LanceDB Enterprise/Cloud remote tables; Enterprise handles compaction and cleanup automatically from cluster configuration.
@@ -1,173 +0,0 @@
# Python Patterns
Use these patterns when writing Python code with `lancedb`.
## Before Writing Code
Choose the output type from what the project actually depends on. **Do not assume `pandas` or `polars` is installed** — they are heavy dependencies that many LanceDB projects do not use. `pyarrow`, by contrast, ships as a LanceDB dependency and is always available, so it is a safe default to lean on.
Default output (after applying `select()` and `limit()`):
- **Python objects**: `.to_list()` — a list of dicts, no extra dependencies. Prefer this for scripts, examples, and agent-generated code unless there is a reason to do otherwise.
- **PyArrow**: `.to_arrow()` — a `pyarrow.Table`, when the surrounding code is Arrow-native or you need columnar/zero-copy handoff.
Only reach for a DataFrame when the project *already* declares that dependency:
- Pandas projects (pandas in `pyproject.toml`/requirements): `.to_pandas()`.
- Polars projects (polars declared): `.to_polars()`.
If unsure, check the dependency manifest or the imports in surrounding files. When in doubt, use `.to_list()` or `.to_arrow()`.
## Schema Design and Validation
Favor `LanceModel` and Pydantic validation for Python schemas. They keep field
types readable, validate source records before a write, and map directly to a
LanceDB schema. Use `Vector(dimension)` for fixed-size vectors:
```python
from lancedb.pydantic import LanceModel, Vector
class Document(LanceModel):
id: int
text: str
vector: Vector(384, nullable=False)
rows = [Document.model_validate(row) for row in source_rows]
table = db.create_table("documents", schema=Document)
table.add(rows)
```
Use PyArrow schemas instead when the pipeline is already Arrow-native, needs
record-batch streaming, or has runtime schema requirements that would make a
Pydantic model harder to understand. Declare Pydantic as a direct project
dependency when application code imports it, even if LanceDB also depends on it.
## Recommended Patterns
### Bounded search or query
Use this for application reads, examples, notebooks, and agent-generated scripts:
```python
results = (
table.search(query_vector)
.where("status = 'ready'")
.select(["id", "text"])
.limit(20)
.to_list() # or .to_arrow(); .to_pandas()/.to_polars() only if the project uses them
)
```
Why: `search()` works across local and remote tables and on both the sync and async clients. `select()` avoids fetching unused columns. `limit()` prevents accidental full-table reads. `.to_list()` and `.to_arrow()` avoid assuming pandas/polars is installed (see "Before Writing Code").
For a **plain scan** (no query vector), the entry point differs by client:
```python
# Sync client: no .query() method — use .search() with no argument.
rows = table.search().where("status = 'ready'").select(["id", "text"]).limit(20).to_list()
# Async client: use .query().
rows = await async_table.query().where("status = 'ready'").select(["id", "text"]).limit(20).to_list()
```
`table.query()` on a sync table raises `AttributeError` (verified on `lancedb` 0.34.0). See the "Sync vs Async Scan API" section in `api_reference.md`.
### Bounded query result conversion
It is fine to collect bounded query/search results:
```python
arrow_table = table.search().select(["id"]).limit(100).to_arrow() # sync plain scan
rows = table.search(query_vector).limit(10).to_list()
df = table.search(query_vector).limit(10).to_pandas() # only if pandas is a project dep
```
### Local-only Lance dataset API
`table.to_lance()` does not itself materialize the full dataset. It returns the underlying `lance.LanceDataset`, making the table accessible through the PyLance dataset API. Use it when the task is explicitly local/OSS and needs Lance dataset methods not exposed by LanceDB:
```python
# Local/OSS only: RemoteTable does not expose table.to_lance().
ds = table.to_lance()
for batch in ds.to_batches(columns=["id", "text"], batch_size=10_000):
process(batch)
```
### Async Python
Keep the same shape and bound the result before collecting:
```python
results = await (
async_table.query()
.where("status = 'ready'")
.select(["id", "text"])
.limit(20)
.to_list() # or .to_arrow()
)
```
## Anti-Patterns
**Avoid the following anti-patterns in your code.**
### Table-level full materialization
Avoid whole-table collectors in portable or large-table code:
```python
df = table.to_pandas()
arrow_table = table.to_arrow()
polars_df = table.to_polars()
```
Why: local tables expose these whole-table collectors, but remote tables intentionally do not — a remote production table can be far larger than a local development table, so it is easy to accidentally pull the entire table into memory.
`table.to_lance()` is different: it is not a full materialization call, but it is still local/OSS-only and should not appear in code meant to run against remote Enterprise tables.
### Unbounded result collection
Avoid query/search collection without a meaningful limit:
```python
rows = table.search().to_list() # unbounded plain scan
rows = table.search(query_vector).to_list() # unbounded vector search
```
Prefer `select(...).limit(...)` before collecting; for large reads, stream in batches instead.
### Per-row writes
Avoid loops that write one row per call:
```python
for row in rows:
table.add([row]) # one commit + fragment per row
```
Each `add()` creates a new version and fragment. Pass the whole batch in a single call, or chunk very large inputs:
```python
table.add(rows) # single commit
# for very large inputs, add batches of several thousand rows
```
After the final successful write to an embedded OSS table, call
`table.optimize()`. Skip this for Enterprise/Cloud tables because their
maintenance is automatic.
### Drop-then-reuse the same table name (Enterprise/Cloud)
Avoid dropping or overwriting a remote table and then reusing that name right away:
```python
db.drop_table("my_table")
table = db.create_table("my_table", data=rows) # reads 500 for ~5 min
table = db.create_table("my_table", data=rows, mode="overwrite") # same problem
```
Why: Enterprise/Cloud splits DDL (control plane) from query serving (data plane). The data plane caches the dataset behind a table name for up to `table_cache_ttl` (default 300s / 5 min), so after a drop/overwrite the DDL succeeds but queries against the reused name return `500 Internal Server Error` until the cache expires — and a fresh `describe` may still show the old schema. Instead, write to a **fresh name**, use `list_tables()` and fail if it already exists, then `rename_table(fresh, final)` onto the final name only after the old table's drop has propagated (~5 min). See the "Enterprise: never drop-then-reuse the same table name" section in `SKILL.md`. Local/OSS tables have no separate data plane — overwrite freely there.
### Guessing performance fixes
Avoid changing `nprobes`, `refine_factor`, or index types before checking the query plan and index stats. Diagnose first, then tune one knob at a time.
@@ -1,131 +0,0 @@
# Python Performance Guidance
Use this when writing Python code that ingests data, queries large tables, builds indexes, or investigates latency.
## Ingestion
### Recommended: validate schemas and records with Pydantic
Favor `LanceModel` for readable Python schema definitions and validate source
records before writing. Use PyArrow directly for Arrow-native or streaming
pipelines where it is the clearer representation.
```python
from lancedb.pydantic import LanceModel, Vector
class Document(LanceModel):
id: int
text: str
vector: Vector(384, nullable=False)
rows = [Document.model_validate(row) for row in source_rows]
table = db.create_table("documents", schema=Document)
table.add(rows)
```
### Recommended: bulk ingestion for materialized data
```python
table.add(arrow_table)
table.add(df)
table.add(pa.dataset("data/", format="parquet"))
```
For very large initial loads, create the table empty first, then call `add(...)`. Passing data directly to `create_table(name, data)` can skip the auto-parallel write path.
### Recommended: iterator ingestion for generated or streamed data
```python
def batches():
for raw in source:
vectors = model.encode(raw["text"])
yield pa.RecordBatch.from_pydict({**raw, "vector": vectors})
table.add(batches())
```
Use chunks of several thousand rows or more when practical. Tiny batches and per-row writes create many small fragments.
### Anti-pattern: per-row `add()`
```python
for row in rows:
table.add([row])
```
Each call creates a version and fragment. This slows ingestion and later queries.
## Indexing
- Build a vector index once brute-force vector search becomes too slow. As a rule of thumb, local brute force is fine below roughly 100K vectors; beyond that, build an index.
- Use `IVF_PQ` as the general-purpose default. Enterprise builds this automatically.
- Use scalar indexes for filtered columns and merge/upsert keys.
- Use `BTREE` for mostly distinct numeric/string/temporal columns, `BITMAP` for booleans and low-cardinality columns, and `LABEL_LIST` for list membership queries.
- Keep full-text defaults unless phrase queries require position data.
## Querying
Always be explicit:
```python
table.search(query_vector).select(["id", "title"]).limit(20)
```
- `select()` reduces bytes read and transferred.
- `limit()` prevents accidental full-table materialization.
- Pre-filtering is the default and guarantees returned rows satisfy the predicate.
- Use post-filtering only when fewer than `limit` results are acceptable.
## Recall Tuning
Tune one knob at a time:
- Quantized indexes: raise `refine_factor` to rescore more candidates on full vectors.
- HNSW-backed indexes: raise `ef`; start around `1.5 * k`, increase toward `10 * k` if recall is short.
- IVF candidate breadth: `nprobes` is auto-tuned; override only when a selective pre-filter leaves too few neighbors.
## Maintenance
After every successful embedded OSS/local ingestion, call `table.optimize()`.
Do not add this to LanceDB Enterprise/Cloud remote table code; remote compaction
and cleanup are handled automatically based on the Enterprise cluster
configuration.
Why local maintenance is needed:
- Frequent writes can create many small fragments. Queries then need to scan across more files, which can increase latency.
- Updates, deletes, and appends create new table versions. Old versions are retained for time travel and rollback, which can grow disk usage.
- Indexes may have newly added rows that are not yet fully optimized into the index structure.
For local/OSS tables, run `optimize()` after the final successful ingestion
write. Also run it after later batches of update/delete operations or on a
regular maintenance schedule:
```python
table.optimize()
```
If the user wants more aggressive local disk cleanup, pass a shorter cleanup retention window:
```python
from datetime import timedelta
table.optimize(cleanup_older_than=timedelta(days=1))
```
Do not use very short cleanup windows when the application depends on time travel, rollback, or old versions.
## Diagnostics
Before changing code or indexes, inspect:
```python
print(table.search(query_vector).where("year > 2000").limit(10).analyze_plan())
print(table.index_stats("vector_idx"))
```
Look for high scan bytes, missing indexes, fragmented data, and unindexed rows.
## Python Multiprocessing
When using multiprocessing, use `spawn` rather than `fork`. LanceDB is multi-threaded internally, and `fork` plus a multi-threaded process is unsafe.
@@ -1,105 +0,0 @@
# TypeScript API Reference
Quick method reference for TypeScript LanceDB code. Cross-check source for non-trivial claims.
## Connect
```typescript
import * as lancedb from "@lancedb/lancedb";
const db = await lancedb.connect("./camelot-db");
```
**Place the local database directory next to the script/entrypoint that opens it** (resolve the path relative to the module, e.g. via `import.meta.dirname` / `__dirname`), not buried under a shared `data/` folder. The Lance dataset is the database, not a data file — keeping it beside its code makes ownership obvious and paths stable regardless of the working directory the script is launched from.
**Do not name the directory `lancedb`** (e.g. `./lancedb`, `./data/lancedb`). It collides with the imported `lancedb` package/namespace, which is confusing to read. Give it a name derived from the repo or dataset with a clear prefix/suffix — for example `./<dataset>-db`, `./<repo>_lancedb`, or `./vectordb`.
Remote connections use `db://...` plus Enterprise/Cloud credentials and deployment settings. Check current source/docs for exact connection options.
## Table Reads
| Task | Preferred API |
| --- | --- |
| Vector search | `table.search(queryVector).limit(k)` |
| Full scan with filters/projection | `table.query().where(...).select(...).limit(...)` |
| Filter | `.where("col > 10")` |
| Projection | `.select(["id", "text"])` |
| Bound result count | `.limit(20)` |
| Collect bounded result as objects | `.toArray()` on query/search result |
| Collect bounded result as Arrow | `.toArrow()` on query/search result |
| Stream result batches | `for await (const batch of table.query()...)` |
## Local vs Remote Safety
| API | Agent guidance |
| --- | --- |
| `table.search(...)` | Preferred read path |
| `table.query()` | Preferred scan/filter path |
| `await table.toArrow()` | Avoid in portable or large-table code |
| `await table.query().toArray()` with no `limit()` | Avoid; unbounded collection |
| `await table.query().toArrow()` with no `limit()` | Avoid; unbounded collection |
## Indexes
```typescript
await table.createIndex("vector");
await table.createIndex("status");
```
Use vector indexes for large vector search workloads and scalar indexes for filtered columns or merge/upsert keys. Check source/docs before specifying advanced index options.
## Filtering And Recall Knobs
```typescript
await table.search(queryVector).where("status = 'ready'").limit(10).toArray();
await table.search(queryVector).limit(10).refineFactor(20).toArray();
await table.search(queryVector).limit(10).nprobes(50).toArray();
await table.search(queryVector).limit(10).ef(100).toArray();
await table.search(queryVector).where("status = 'ready'").postfilter().limit(10).toArray();
```
Use `postfilter()` only when fewer than `limit` results are acceptable.
## Diagnostics
```typescript
console.log(await table.search(queryVector).where("year > 2000").limit(10).analyzePlan());
console.log(await table.indexStats("vector_idx"));
```
Use these before changing indexes or search tuning.
## Column (Field) Metadata
```typescript
const schema = await table.schema();
const meta = schema.fields.find((f) => f.name === "category")?.metadata; // Map<string, string>
const res = await table.updateFieldMetadata([
{ path: "category", metadata: { "lancedb:description": "...", "lancedb:tag:field_type": "label" } },
]);
res.version; // new table version
```
Merges by default; a `null` value deletes that key; `replace: true` swaps the whole map. Nested fields use dot-paths (`"a.b.c"`). See `references/column_metadata.md` for key conventions (`lancedb:description`, `lancedb:tag:<name>`, `lancedb:logical-column`) and the authoring workflow.
## Branches
```typescript
const branches = await table.branches(); // async manager
await branches.list(); // non-main branches; {} = only main
const exp = await branches.create("exp"); // fork off main -> Table scoped to the branch
const wip = await branches.checkout("wip"); // existing branch -> scoped Table (version arg pins read-only)
const wip2 = await db.openTable("t", { branch: "wip" }); // or open scoped directly
await branches.delete("stale"); // removes only the branch pointer
table.currentBranch(); // null = main
```
There is no global switch — scoping is per table handle: any read/write on a branch handle lands on that branch; the original handle keeps targeting main. See `references/branch_ops.md` for the model and isolation checks.
## Maintenance
```typescript
await table.optimize();
```
Call this after every successful local/OSS ingestion. It handles compaction, cleanup of old versions according to retention, and index optimization. Do not add this for LanceDB Enterprise/Cloud remote tables; Enterprise handles compaction and cleanup automatically from cluster configuration.
@@ -1,100 +0,0 @@
# TypeScript Patterns
Use these patterns when writing TypeScript code with `@lancedb/lancedb`.
## Recommended Patterns
### Bounded query
Use this for application reads, scripts, and examples:
```typescript
const rows = await table
.query()
.where("status = 'ready'")
.select(["id", "text"])
.limit(20)
.toArray();
```
### Bounded vector search
```typescript
const rows = await table
.search(queryVector)
.select(["id", "text"])
.limit(20)
.toArray();
```
### Batch streaming for larger reads
When the task needs many rows, avoid collecting everything at once:
```typescript
for await (const batch of table
.query()
.where("status = 'ready'")
.select(["id", "text"])
.limit(10_000)) {
process(batch);
}
```
## Anti-Patterns
**Avoid the following anti-patterns in your code.**
### Table-level full materialization
Avoid whole-table collectors in portable or large-table code:
```typescript
const tableArrow = await table.toArrow();
```
Why: local tables expose these whole-table collectors, but remote tables intentionally do not — a remote production table can be far larger than a local development table, so it is easy to accidentally pull the entire table into memory.
### Unbounded result collection
Avoid query/search collection without a meaningful limit:
```typescript
const rows = await table.query().toArray(); // unbounded plain scan
const rows = await table.search(queryVector).toArray(); // unbounded vector search
```
Prefer `select(...).limit(...)` before collecting; for large reads, stream in batches instead.
### Per-row writes
Avoid loops that write one row per call:
```typescript
for (const row of rows) {
await table.add([row]); // one commit + fragment per row
}
```
Each `add()` creates a new version and fragment. Pass the whole batch in a single call, or chunk very large inputs:
```typescript
await table.add(rows); // single commit
// for very large inputs, add in chunks of several thousand rows
```
### Drop-then-reuse the same table name (Enterprise/Cloud)
Avoid dropping or overwriting a remote table and then reusing that name right away:
```typescript
await db.dropTable("my_table");
const table = await db.createTable("my_table", rows); // reads 500 for ~5 min
const table = await db.createTable("my_table", rows, { mode: "overwrite" }); // same problem
```
Why: Enterprise/Cloud splits DDL (control plane) from query serving (data plane). The data plane caches the dataset behind a table name for up to `table_cache_ttl` (default 300s / 5 min), so after a drop/overwrite the DDL succeeds but queries against the reused name return `500 Internal Server Error` until the cache expires — and a fresh `describe` may still show the old schema. Instead, write to a **fresh name**, use `tableNames()` and fail if it already exists, then `renameTable(fresh, final)` onto the final name only after the old table's drop has propagated (~5 min). See the "Enterprise: never drop-then-reuse the same table name" section in `SKILL.md`. Local/OSS tables have no separate data plane — overwrite freely there.
### Guessing performance fixes
Avoid changing `nprobes`, `refineFactor`, `ef`, or index settings before checking `analyzePlan()` and `indexStats(...)`. Diagnose first, then tune one knob at a time.
@@ -1,78 +0,0 @@
# TypeScript Performance Guidance
Use this when writing TypeScript code that ingests data, queries large tables, builds indexes, or investigates latency.
## Ingestion
- Prefer bulk or batched writes.
- Avoid per-row write loops; they create many small commits/fragments.
- For generated data, accumulate reasonable batches before adding.
- For file-backed data, prefer APIs that stream from Arrow/Parquet-style inputs when available.
## Indexing
- Build a vector index once brute-force vector search becomes too slow. As a rule of thumb, local brute force is fine below roughly 100K vectors; beyond that, build an index.
- Use the general-purpose vector index defaults unless the task has explicit recall/latency requirements.
- Build scalar indexes for filtered columns and merge/upsert keys.
- Use full-text index phrase options only when phrase queries require them.
## Querying
Always be explicit:
```typescript
await table.search(queryVector).select(["id", "title"]).limit(20).toArray();
```
- `select()` reduces bytes read and transferred.
- `limit()` prevents accidental full-table collection.
- Pre-filtering is the default behavior. Use `postfilter()` only when fewer than `limit` results are acceptable.
## Recall Tuning
Tune one knob at a time:
- Quantized indexes: raise `refineFactor(...)` to rescore more candidates on full vectors.
- HNSW-backed indexes: raise `ef(...)`; start around `1.5 * k`, increase toward `10 * k` if recall is short.
- IVF candidate breadth: `nprobes(...)` is usually auto-tuned; override only when a selective pre-filter leaves too few neighbors.
## Maintenance
After every successful embedded OSS/local ingestion, call `table.optimize()`.
Do not add this to LanceDB Enterprise/Cloud remote table code; remote compaction
and cleanup are handled automatically based on the Enterprise cluster
configuration.
Why local maintenance is needed:
- Frequent writes can create many small fragments. Queries then need to scan across more files, which can increase latency.
- Updates, deletes, and appends create new table versions. Old versions are retained for time travel and rollback, which can grow disk usage.
- Indexes may have newly added rows that are not yet fully optimized into the index structure.
For local/OSS tables, run `optimize()` after the final successful ingestion
write. Also run it after later batches of update/delete operations or on a
regular maintenance schedule:
```typescript
await table.optimize();
```
If the user wants more aggressive local disk cleanup, pass a shorter cleanup retention window:
```typescript
const olderThan = new Date(Date.now() - 24 * 60 * 60 * 1000);
await table.optimize({ cleanupOlderThan: olderThan });
```
Do not use very short cleanup windows when the application depends on time travel, rollback, or old versions.
## Diagnostics
Before changing code or indexes, inspect:
```typescript
console.log(await table.search(queryVector).where("year > 2000").limit(10).analyzePlan());
console.log(await table.indexStats("vector_idx"));
```
Look for high scan cost, missing indexes, fragmented data, and unindexed rows.
@@ -1,135 +0,0 @@
#!/usr/bin/env python3
"""Scan Python and TypeScript for likely unsafe LanceDB materialization."""
from __future__ import annotations
import argparse
import re
import sys
from dataclasses import dataclass
from pathlib import Path
PY_FULL_TABLE = re.compile(r"\b\w+\.(to_pandas|to_arrow|to_polars)\s*\(")
TS_TABLE_TO_ARROW = re.compile(r"\b\w+\.toArrow\s*\(")
TS_QUERY_COLLECTOR = re.compile(r"\.query\s*\(\s*\)[\s\S]*?\.to(Array|Arrow)\s*\(")
@dataclass
class Finding:
path: Path
line: int
message: str
text: str
def iter_files(paths: list[Path]) -> list[Path]:
files: list[Path] = []
for path in paths:
if path.is_dir():
files.extend(
p
for p in path.rglob("*")
if p.suffix in {".py", ".ts", ".tsx"} and "node_modules" not in p.parts
)
elif path.suffix in {".py", ".ts", ".tsx"}:
files.append(path)
return sorted(set(files))
def line_number(text: str, offset: int) -> int:
return text.count("\n", 0, offset) + 1
def scan_python(path: Path, text: str) -> list[Finding]:
findings: list[Finding] = []
for match in PY_FULL_TABLE.finditer(text):
line_start = text.rfind("\n", 0, match.start()) + 1
line_end = text.find("\n", match.start())
if line_end == -1:
line_end = len(text)
line = text[line_start:line_end].strip()
if ".search(" in line or ".query(" in line:
continue
findings.append(
Finding(
path,
line_number(text, match.start()),
f"Review Python `{match.group(1)}()` call; table-level materialization is not portable to remote tables.",
line,
)
)
return findings
def statement_around(text: str, start: int, end: int) -> str:
before = max(text.rfind(";", 0, start), text.rfind("\n\n", 0, start))
after_candidates = [pos for pos in (text.find(";", end), text.find("\n\n", end)) if pos != -1]
after = min(after_candidates) if after_candidates else len(text)
return text[before + 1 : after].strip()
def scan_typescript(path: Path, text: str) -> list[Finding]:
findings: list[Finding] = []
for match in TS_TABLE_TO_ARROW.finditer(text):
stmt = statement_around(text, match.start(), match.end())
if ".query(" in stmt or ".search(" in stmt:
continue
findings.append(
Finding(
path,
line_number(text, match.start()),
"Review TypeScript `table.toArrow()`-style call; table-level materialization is not portable for large/remote tables.",
stmt.splitlines()[0].strip(),
)
)
for match in TS_QUERY_COLLECTOR.finditer(text):
stmt = statement_around(text, match.start(), match.end())
if ".limit(" in stmt:
continue
findings.append(
Finding(
path,
line_number(text, match.start()),
"Review unbounded TypeScript query collection; add `limit()` or stream batches.",
stmt.splitlines()[0].strip(),
)
)
return findings
def scan_file(path: Path) -> list[Finding]:
text = path.read_text(encoding="utf-8", errors="replace")
if path.suffix == ".py":
return scan_python(path, text)
if path.suffix in {".ts", ".tsx"}:
return scan_typescript(path, text)
return []
def main() -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("paths", nargs="+", type=Path)
parser.add_argument(
"--no-fail", action="store_true", help="Always exit 0 after reporting findings."
)
args = parser.parse_args()
findings: list[Finding] = []
for path in iter_files(args.paths):
findings.extend(scan_file(path))
for finding in findings:
print(f"{finding.path}:{finding.line}: {finding.message}")
print(f" {finding.text}")
if findings:
print(
f"\n{len(findings)} finding(s). Review manually; bounded query result conversion may be OK."
)
return 0 if args.no_fail or not findings else 1
if __name__ == "__main__":
sys.exit(main())
+1 -3
View File
@@ -1,5 +1,5 @@
[tool.bumpversion]
current_version = "0.32.0-beta.2"
current_version = "0.30.0-beta.1"
parse = """(?x)
(?P<major>0|[1-9]\\d*)\\.
(?P<minor>0|[1-9]\\d*)\\.
@@ -23,8 +23,6 @@ allow_dirty = true
commit = true
message = "Bump version: {current_version} → {new_version}"
commit_args = ""
# bump-my-version >=1.4.0 rejects pre_commit_hooks containing shell syntax unless opted in.
allow_shell_hooks = true
# Java maven files
pre_commit_hooks = [
-11
View File
@@ -21,14 +21,3 @@ updates:
update-types:
- minor
- patch
- package-ecosystem: pip
directory: /python
schedule:
interval: weekly
# Only update uv.lock, never widen version requirements in pyproject.toml.
versioning-strategy: lockfile-only
groups:
python-deps:
patterns:
- "*"
+9 -11
View File
@@ -34,16 +34,15 @@ runs:
maturin-version: "1.12.4"
command: build
working-directory: python
docker-options: "-e PIP_EXTRA_INDEX_URL='https://pypi.fury.io/lance-format/ https://pypi.fury.io/lancedb/' -e PROTOC=/usr/local/bin/protoc"
docker-options: "-e PIP_EXTRA_INDEX_URL='https://pypi.fury.io/lance-format/ https://pypi.fury.io/lancedb/'"
target: x86_64-unknown-linux-gnu
manylinux: ${{ inputs.manylinux }}
args: ${{ inputs.args }}
before-script-linux: |
set -e
curl -fsSL https://github.com/protocolbuffers/protobuf/releases/download/v24.4/protoc-24.4-linux-x86_64.zip -o /tmp/protoc.zip
unzip /tmp/protoc.zip -d /usr/local
rm /tmp/protoc.zip
/usr/local/bin/protoc --version
curl -L https://github.com/protocolbuffers/protobuf/releases/download/v24.4/protoc-24.4-linux-$(uname -m).zip > /tmp/protoc.zip \
&& unzip /tmp/protoc.zip -d /usr/local \
&& rm /tmp/protoc.zip
- name: Build Arm Manylinux Wheel
if: ${{ inputs.arm-build == 'true' }}
uses: PyO3/maturin-action@v1
@@ -51,14 +50,13 @@ runs:
maturin-version: "1.12.4"
command: build
working-directory: python
docker-options: "-e PIP_EXTRA_INDEX_URL='https://pypi.fury.io/lance-format/ https://pypi.fury.io/lancedb/' -e PROTOC=/usr/local/bin/protoc"
docker-options: "-e PIP_EXTRA_INDEX_URL='https://pypi.fury.io/lance-format/ https://pypi.fury.io/lancedb/'"
target: aarch64-unknown-linux-gnu
manylinux: ${{ inputs.manylinux }}
args: ${{ inputs.args }}
before-script-linux: |
set -e
yum install -y clang
curl -fsSL https://github.com/protocolbuffers/protobuf/releases/download/v24.4/protoc-24.4-linux-aarch_64.zip -o /tmp/protoc.zip
unzip /tmp/protoc.zip -d /usr/local
rm /tmp/protoc.zip
/usr/local/bin/protoc --version
yum install -y clang \
&& curl -L https://github.com/protocolbuffers/protobuf/releases/download/v24.4/protoc-24.4-linux-aarch_64.zip > /tmp/protoc.zip \
&& unzip /tmp/protoc.zip -d /usr/local \
&& rm /tmp/protoc.zip
+2 -2
View File
@@ -25,7 +25,7 @@ jobs:
# Only runs on tags that matches the make-release action
if: startsWith(github.ref, 'refs/tags/v')
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
- uses: Swatinem/rust-cache@v2
with:
workspaces: rust
@@ -47,7 +47,7 @@ jobs:
contents: read
issues: write
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
- uses: ./.github/actions/create-failure-issue
with:
job-results: ${{ toJSON(needs) }}
+3 -3
View File
@@ -36,14 +36,14 @@ jobs:
echo "guidelines = ${{ inputs.guidelines }}"
- name: Checkout Repo
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
ref: ${{ inputs.branch }}
fetch-depth: 0
persist-credentials: true
- name: Set up Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
# pnpm 11 (used by the nodejs install step below) requires
# Node >= 22.13; use 24 since 22 hits EOL in October.
@@ -82,7 +82,7 @@ jobs:
cache: maven
- name: Setup pnpm
uses: pnpm/action-setup@v6
uses: pnpm/action-setup@v4
with:
version: 11.1.1
- name: Install Node.js dependencies for TypeScript bindings
@@ -4,16 +4,14 @@ on:
workflow_call:
inputs:
tag:
description: "Tag name from Lance. If omitted, the skill will use the latest Lance release that needs an update."
required: false
default: ""
description: "Tag name from Lance"
required: true
type: string
workflow_dispatch:
inputs:
tag:
description: "Tag name from Lance. Leave empty to use the latest Lance release that needs an update."
required: false
default: ""
description: "Tag name from Lance"
required: true
type: string
permissions:
@@ -27,16 +25,16 @@ jobs:
steps:
- name: Show inputs
run: |
echo "tag = ${{ inputs.tag || 'latest' }}"
echo "tag = ${{ inputs.tag }}"
- name: Checkout Repo LanceDB
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: true
- name: Set up Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
node-version: 20
@@ -73,21 +71,65 @@ jobs:
OPENAI_API_KEY: ${{ secrets.CODEX_TOKEN }}
run: |
set -euo pipefail
TARGET_TAG="${TAG:-latest}"
VERSION="${TAG#refs/tags/}"
VERSION="${VERSION#v}"
BRANCH_NAME="codex/update-lance-${VERSION//[^a-zA-Z0-9]/-}"
# Use "chore" for beta/rc versions, "feat" for stable releases
if [[ "${VERSION}" == *beta* ]] || [[ "${VERSION}" == *rc* ]]; then
COMMIT_TYPE="chore"
else
COMMIT_TYPE="feat"
fi
cat <<EOF >/tmp/codex-prompt.txt
You are running inside the lancedb repository on a GitHub Actions runner.
You are running inside the lancedb repository on a GitHub Actions runner. Update the Lance dependency to version ${VERSION} and prepare a pull request for maintainers to review.
Use \$lancedb-update-lance-dependency with target "${TARGET_TAG}".
Follow these steps exactly:
1. Use script "ci/set_lance_version.py" to update Lance Rust dependencies. The script already refreshes Cargo metadata, so allow it to finish even if it takes time.
2. Update the Java lance-core dependency version in "java/pom.xml": change the "<lance-core.version>...</lance-core.version>" property to "${VERSION}".
3. Run "cargo clippy --workspace --tests --all-features -- -D warnings". If diagnostics appear, fix them yourself and rerun clippy until it exits cleanly. Do not skip any warnings.
4. After clippy succeeds, run "cargo fmt --all" to format the workspace.
5. Ensure the repository is clean except for intentional changes. Inspect "git status --short" and "git diff" to confirm the dependency update and any required fixes.
6. Create and switch to a new branch named "${BRANCH_NAME}" (replace any duplicated hyphens if necessary).
7. Stage all relevant files with "git add -A". Commit using the message "${COMMIT_TYPE}: update lance dependency to v${VERSION}".
8. Push the branch to origin. If the remote branch already exists, delete it first with "gh api -X DELETE repos/lancedb/lancedb/git/refs/heads/${BRANCH_NAME}" then push with "git push origin ${BRANCH_NAME}". Do NOT use "git push --force" or "git push -f".
9. env "GH_TOKEN" is available, use "gh" tools for github related operations like creating pull request.
10. Create a pull request targeting "main" with title "${COMMIT_TYPE}: update lance dependency to v${VERSION}". First, write the PR body to /tmp/pr-body.md using a heredoc (cat <<'EOF' > /tmp/pr-body.md). The body should summarize the dependency bump, clippy/fmt verification, and link the triggering tag (${TAG}). Then run "gh pr create --body-file /tmp/pr-body.md".
11. After creating the PR, display the PR URL, "git status --short", and a concise summary of the commands run and their results.
Constraints:
- Use env "GH_TOKEN" for GitHub operations.
- Do not merge the pull request.
- Do not force-push.
- Do not create a duplicate pull request if an open PR already exists for the target Lance version.
- If any command fails, diagnose and fix the root cause instead of aborting.
- After creating the PR, display the PR URL, "git status --short", and a concise summary of the commands run and their results.
- Use bash commands; avoid modifying GitHub workflow files other than through the scripted task above.
- Do not merge the PR.
- If any command fails, diagnose and fix the issue instead of aborting.
EOF
printenv OPENAI_API_KEY | codex login --with-api-key
codex --config shell_environment_policy.ignore_default_excludes=true exec --dangerously-bypass-approvals-and-sandbox "$(cat /tmp/codex-prompt.txt)"
- name: Trigger sophon dependency update
env:
TAG: ${{ inputs.tag }}
GH_TOKEN: ${{ secrets.ROBOT_TOKEN }}
run: |
set -euo pipefail
VERSION="${TAG#refs/tags/}"
VERSION="${VERSION#v}"
LANCEDB_BRANCH="codex/update-lance-${VERSION//[^a-zA-Z0-9]/-}"
echo "Triggering sophon workflow with:"
echo " lance_ref: ${TAG#refs/tags/}"
echo " lancedb_ref: ${LANCEDB_BRANCH}"
gh workflow run codex-bump-lancedb-lance.yml \
--repo lancedb/sophon \
-f lance_ref="${TAG#refs/tags/}" \
-f lancedb_ref="${LANCEDB_BRANCH}"
- name: Show latest sophon workflow run
env:
GH_TOKEN: ${{ secrets.ROBOT_TOKEN }}
run: |
set -euo pipefail
echo "Latest sophon workflow run:"
gh run list --repo lancedb/sophon --workflow codex-bump-lancedb-lance.yml --limit 1 --json databaseId,url,displayTitle
+1 -1
View File
@@ -27,7 +27,7 @@ jobs:
name: Verify PR title / description conforms to semantic-release
runs-on: ubuntu-latest
steps:
- uses: actions/setup-node@v6
- uses: actions/setup-node@v4
with:
node-version: "18"
# These rules are disabled because Github will always ensure there
+2 -2
View File
@@ -35,7 +35,7 @@ jobs:
runs-on: ubuntu-24.04
steps:
- name: Checkout
uses: actions/checkout@v6
uses: actions/checkout@v4
- name: Install dependencies needed for ubuntu
run: |
sudo apt install -y protobuf-compiler libssl-dev
@@ -53,7 +53,7 @@ jobs:
python -m pip install --extra-index-url https://pypi.fury.io/lance-format/ --extra-index-url https://pypi.fury.io/lancedb/ -e .
python -m pip install --extra-index-url https://pypi.fury.io/lance-format/ --extra-index-url https://pypi.fury.io/lancedb/ -r ../docs/requirements.txt
- name: Set up node
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
node-version: 20
cache: 'npm'
+2 -2
View File
@@ -32,7 +32,7 @@ jobs:
working-directory: ./java
steps:
- name: Checkout repository
uses: actions/checkout@v6
uses: actions/checkout@v4
- name: Set up Java 8
uses: actions/setup-java@v4
with:
@@ -73,7 +73,7 @@ jobs:
contents: read
issues: write
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
- uses: ./.github/actions/create-failure-issue
with:
job-results: ${{ toJSON(needs) }}
+1 -1
View File
@@ -36,7 +36,7 @@ jobs:
working-directory: ./java
steps:
- name: Checkout repository
uses: actions/checkout@v6
uses: actions/checkout@v4
- name: Set up Java 17
uses: actions/setup-java@v4
with:
+62
View File
@@ -0,0 +1,62 @@
name: Lance Release Timer
on:
schedule:
- cron: "*/10 * * * *"
workflow_dispatch:
permissions:
contents: read
actions: write
concurrency:
group: lance-release-timer
cancel-in-progress: false
jobs:
trigger-update:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Check for new Lance tag
id: check
env:
GH_TOKEN: ${{ secrets.ROBOT_TOKEN }}
run: |
python3 ci/check_lance_release.py --github-output "$GITHUB_OUTPUT"
- name: Look for existing PR
if: steps.check.outputs.needs_update == 'true'
id: pr
env:
GH_TOKEN: ${{ secrets.ROBOT_TOKEN }}
run: |
set -euo pipefail
TITLE="chore: update lance dependency to v${{ steps.check.outputs.latest_version }}"
COUNT=$(gh pr list --search "\"$TITLE\" in:title" --state open --limit 1 --json number --jq 'length')
if [ "$COUNT" -gt 0 ]; then
echo "Open PR already exists for $TITLE"
echo "pr_exists=true" >> "$GITHUB_OUTPUT"
else
echo "No existing PR for $TITLE"
echo "pr_exists=false" >> "$GITHUB_OUTPUT"
fi
- name: Trigger codex update workflow
if: steps.check.outputs.needs_update == 'true' && steps.pr.outputs.pr_exists != 'true'
env:
GH_TOKEN: ${{ secrets.ROBOT_TOKEN }}
run: |
set -euo pipefail
TAG=${{ steps.check.outputs.latest_tag }}
gh workflow run codex-update-lance-dependency.yml -f tag=refs/tags/$TAG
- name: Show latest codex workflow run
if: steps.check.outputs.needs_update == 'true' && steps.pr.outputs.pr_exists != 'true'
env:
GH_TOKEN: ${{ secrets.ROBOT_TOKEN }}
run: |
set -euo pipefail
gh run list --workflow codex-update-lance-dependency.yml --limit 1 --json databaseId,url,displayTitle
+1 -1
View File
@@ -19,7 +19,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Check out code
uses: actions/checkout@v6
uses: actions/checkout@v4
- name: Install license-header-checker
working-directory: /tmp
run: |
+1 -1
View File
@@ -49,7 +49,7 @@ jobs:
steps:
- name: Output Inputs
run: echo "${{ toJSON(github.event.inputs) }}"
- uses: actions/checkout@v6
- uses: actions/checkout@v4
with:
fetch-depth: 0
lfs: true
+10 -10
View File
@@ -38,14 +38,14 @@ jobs:
CC: gcc-12
CXX: g++-12
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
with:
fetch-depth: 0
lfs: true
- uses: pnpm/action-setup@v6
- uses: pnpm/action-setup@v4
with:
version: 11.1.1
- uses: actions/setup-node@v6
- uses: actions/setup-node@v4
with:
# pnpm 11 requires Node >= 22.13; use 24 since 22 hits EOL
# in October. The library itself still supports Node >= 18
@@ -86,14 +86,14 @@ jobs:
shell: bash
working-directory: nodejs
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
with:
fetch-depth: 0
lfs: true
- uses: pnpm/action-setup@v6
- uses: pnpm/action-setup@v4
with:
version: 11.1.1
- uses: actions/setup-node@v6
- uses: actions/setup-node@v4
name: Setup Node.js 24 for build
with:
# pnpm 11 requires Node >= 22.13; use 24 since 22 hits EOL
@@ -130,7 +130,7 @@ jobs:
echo "Run 'pnpm run docs', fix any warnings, and commit the changes."
exit 1
fi
- uses: actions/setup-node@v6
- uses: actions/setup-node@v4
name: Setup Node.js ${{ matrix.node-version }} for test
with:
node-version: ${{ matrix.node-version }}
@@ -166,14 +166,14 @@ jobs:
shell: bash
working-directory: nodejs
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
with:
fetch-depth: 0
lfs: true
- uses: pnpm/action-setup@v6
- uses: pnpm/action-setup@v4
with:
version: 11.1.1
- uses: actions/setup-node@v6
- uses: actions/setup-node@v4
with:
# pnpm 11 requires Node >= 22.13; use 24 since 22 hits EOL
# in October.
+21 -30
View File
@@ -32,7 +32,7 @@ jobs:
permissions:
contents: write
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
with:
fetch-depth: 0
lfs: true
@@ -103,7 +103,7 @@ jobs:
features: fp16kernels
pre_build: brew install protobuf
- target: x86_64-pc-windows-msvc
host: windows-2025-8x-x64
host: windows-latest
features: ","
pre_build: |-
choco install --no-progress protoc ninja nasm
@@ -111,21 +111,12 @@ jobs:
# There is an issue where choco doesn't add nasm to the path
export PATH="$PATH:/c/Program Files/NASM"
nasm -v
# Fat LTO of the cdylib is single-threaded and the peak-memory
# step of the build, and had started hitting rustc-LLVM OOM on the
# Windows runners. ThinLTO parallelizes it across the runner's
# cores and keeps peak memory well under the limit.
export CARGO_PROFILE_RELEASE_LTO=thin
export CARGO_PROFILE_RELEASE_CODEGEN_UNITS=16
- target: aarch64-pc-windows-msvc
host: windows-2025-8x-x64
host: windows-latest
features: ","
pre_build: |-
choco install --no-progress protoc
rustup target add aarch64-pc-windows-msvc
# See ThinLTO note on the x86_64-pc-windows-msvc target above.
export CARGO_PROFILE_RELEASE_LTO=thin
export CARGO_PROFILE_RELEASE_CODEGEN_UNITS=16
- target: x86_64-unknown-linux-gnu
host: ubuntu-latest
features: fp16kernels
@@ -179,13 +170,13 @@ jobs:
run:
working-directory: nodejs
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
- name: Setup pnpm
uses: pnpm/action-setup@v6
uses: pnpm/action-setup@v4
with:
version: 11.1.1
- name: Setup node
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
# pnpm 11 requires Node >= 22.13; use 24 since 22 hits EOL
# in October.
@@ -199,7 +190,7 @@ jobs:
toolchain: stable
targets: ${{ matrix.settings.target }}
- name: Cache cargo
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: |
~/.cargo/registry/index/
@@ -253,7 +244,7 @@ jobs:
if: ${{ !matrix.settings.docker }}
shell: bash
- name: Upload artifact
uses: actions/upload-artifact@v7
uses: actions/upload-artifact@v4
with:
name: lancedb-${{ matrix.settings.target }}
path: nodejs/dist/*.node
@@ -265,7 +256,7 @@ jobs:
run: pnpm tsc
- name: Upload Generic Artifacts
if: ${{ matrix.settings.target == 'aarch64-apple-darwin' }}
uses: actions/upload-artifact@v7
uses: actions/upload-artifact@v4
with:
name: nodejs-dist
path: |
@@ -296,13 +287,13 @@ jobs:
shell: bash
working-directory: nodejs
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
- name: Setup pnpm
uses: pnpm/action-setup@v6
uses: pnpm/action-setup@v4
with:
version: 11.1.1
- name: Setup Node.js 24 for install
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
# pnpm 11 requires Node >= 22.13; use 24 since 22 hits EOL
# in October.
@@ -312,18 +303,18 @@ jobs:
- name: Install dependencies
run: pnpm install --frozen-lockfile
- name: Setup Node.js ${{ matrix.node }} for test
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
node-version: ${{ matrix.node }}
- name: Download artifacts
uses: actions/download-artifact@v8
uses: actions/download-artifact@v4
with:
name: lancedb-${{ matrix.settings.target }}
path: nodejs/dist/
# For testing purposes:
# run-id: 13982782871
# github-token: ${{ secrets.GITHUB_TOKEN }} # token with actions:read permissions on target repo
- uses: actions/download-artifact@v8
- uses: actions/download-artifact@v4
with:
name: nodejs-dist
path: nodejs/dist
@@ -348,13 +339,13 @@ jobs:
needs:
- test-lancedb
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
- name: Setup pnpm
uses: pnpm/action-setup@v6
uses: pnpm/action-setup@v4
with:
version: 11.1.1
- name: Setup node
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
node-version: 24
cache: pnpm
@@ -362,14 +353,14 @@ jobs:
registry-url: "https://registry.npmjs.org"
- name: Install dependencies
run: pnpm install --frozen-lockfile
- uses: actions/download-artifact@v8
- uses: actions/download-artifact@v4
with:
name: nodejs-dist
path: nodejs/dist
# For testing purposes:
# run-id: 13982782871
# github-token: ${{ secrets.GITHUB_TOKEN }} # token with actions:read permissions on target repo
- uses: actions/download-artifact@v8
- uses: actions/download-artifact@v4
name: Download arch-specific binaries
with:
pattern: lancedb-*
@@ -407,7 +398,7 @@ jobs:
contents: read
issues: write
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
- uses: ./.github/actions/create-failure-issue
with:
job-results: ${{ toJSON(needs) }}
+7 -7
View File
@@ -41,7 +41,7 @@ jobs:
shell: bash
working-directory: python
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
with:
fetch-depth: 0
lfs: true
@@ -66,7 +66,7 @@ jobs:
shell: bash
working-directory: python
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
with:
fetch-depth: 0
lfs: true
@@ -95,7 +95,7 @@ jobs:
shell: bash
working-directory: python
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
with:
fetch-depth: 0
lfs: true
@@ -126,7 +126,7 @@ jobs:
shell: bash
working-directory: python
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
with:
fetch-depth: 0
lfs: true
@@ -160,7 +160,7 @@ jobs:
shell: bash
working-directory: python
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
with:
fetch-depth: 0
lfs: true
@@ -189,7 +189,7 @@ jobs:
shell: bash
working-directory: python
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
with:
fetch-depth: 0
lfs: true
@@ -212,7 +212,7 @@ jobs:
shell: bash
working-directory: python
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
with:
fetch-depth: 0
lfs: true
+11 -27
View File
@@ -40,7 +40,7 @@ jobs:
CC: clang-18
CXX: clang++-18
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
with:
fetch-depth: 0
lfs: true
@@ -65,7 +65,7 @@ jobs:
timeout-minutes: 10
runs-on: ubuntu-24.04
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
- uses: EmbarkStudios/cargo-deny-action@v2
with:
command: check advisories bans licenses sources
@@ -78,7 +78,7 @@ jobs:
CC: clang
CXX: clang++
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
# Building without a lock file often requires the latest Rust version since downstream
# dependencies may have updated their minimum Rust version.
- uses: actions-rust-lang/setup-rust-toolchain@v1
@@ -113,7 +113,7 @@ jobs:
CXX: clang++-18
GH_TOKEN: ${{ secrets.SOPHON_READ_TOKEN }}
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
with:
fetch-depth: 0
lfs: true
@@ -125,26 +125,10 @@ jobs:
- uses: rui314/setup-mold@v1
- name: Make Swap
run: |
swapfile=/swapfile
min_swap_bytes=$((15 * 1024 * 1024 * 1024))
active_swap_bytes="$(sudo swapon --show=NAME,SIZE --bytes --noheadings | awk '$1 == "/swapfile" { print $2 }')"
if [ -n "$active_swap_bytes" ]; then
if [ "$active_swap_bytes" -ge "$min_swap_bytes" ]; then
echo "/swapfile is already active with enough space; skipping swap creation"
exit 0
fi
echo "/swapfile is already active but smaller than 16G; using /mnt/lancedb-swapfile"
swapfile=/mnt/lancedb-swapfile
fi
if sudo swapon --show=NAME --noheadings | grep -Fxq "$swapfile"; then
echo "$swapfile is already active; skipping swap creation"
exit 0
fi
sudo rm -f "$swapfile"
sudo fallocate -l 16G "$swapfile"
sudo chmod 600 "$swapfile"
sudo mkswap "$swapfile"
sudo swapon "$swapfile"
sudo fallocate -l 16G /swapfile
sudo chmod 600 /swapfile
sudo mkswap /swapfile
sudo swapon /swapfile
- name: Build
run: cargo build --profile ci --all-features --tests --locked --examples
- name: Run feature tests
@@ -168,7 +152,7 @@ jobs:
shell: bash
working-directory: rust
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
with:
fetch-depth: 0
lfs: true
@@ -197,7 +181,7 @@ jobs:
run:
working-directory: rust/lancedb
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
- name: Set target
run: rustup target add ${{ matrix.target }}
- uses: Swatinem/rust-cache@v2
@@ -226,7 +210,7 @@ jobs:
CC: clang-18
CXX: clang++-18
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
with:
submodules: true
- name: Install dependencies
@@ -11,7 +11,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
ref: main
persist-credentials: false
@@ -11,7 +11,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
ref: main
persist-credentials: false
-1
View File
@@ -27,7 +27,6 @@ python/dist
*.so
*.dylib
*.dll
*.pdb
## Javascript
*.node
Generated
+451 -1173
View File
File diff suppressed because it is too large Load Diff
+23 -26
View File
@@ -13,25 +13,24 @@ categories = ["database-implementations"]
rust-version = "1.91.0"
[workspace.dependencies]
lance = { "version" = "=9.1.0-beta.2", default-features = false, "tag" = "v9.1.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-core = { "version" = "=9.1.0-beta.2", "tag" = "v9.1.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-datagen = { "version" = "=9.1.0-beta.2", "tag" = "v9.1.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-file = { "version" = "=9.1.0-beta.2", "tag" = "v9.1.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-io = { "version" = "=9.1.0-beta.2", default-features = false, "tag" = "v9.1.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-index = { "version" = "=9.1.0-beta.2", "tag" = "v9.1.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-linalg = { "version" = "=9.1.0-beta.2", "tag" = "v9.1.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-namespace = { "version" = "=9.1.0-beta.2", "tag" = "v9.1.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-namespace-impls = { "version" = "=9.1.0-beta.2", default-features = false, "tag" = "v9.1.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-table = { "version" = "=9.1.0-beta.2", "tag" = "v9.1.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-testing = { "version" = "=9.1.0-beta.2", "tag" = "v9.1.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-datafusion = { "version" = "=9.1.0-beta.2", "tag" = "v9.1.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-encoding = { "version" = "=9.1.0-beta.2", "tag" = "v9.1.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-arrow = { "version" = "=9.1.0-beta.2", "tag" = "v9.1.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance = { "version" = "=7.1.0-beta.4", default-features = false, "tag" = "v7.1.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-core = { "version" = "=7.1.0-beta.4", "tag" = "v7.1.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-datagen = { "version" = "=7.1.0-beta.4", "tag" = "v7.1.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-file = { "version" = "=7.1.0-beta.4", "tag" = "v7.1.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-io = { "version" = "=7.1.0-beta.4", default-features = false, "tag" = "v7.1.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-index = { "version" = "=7.1.0-beta.4", "tag" = "v7.1.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-linalg = { "version" = "=7.1.0-beta.4", "tag" = "v7.1.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-namespace = { "version" = "=7.1.0-beta.4", "tag" = "v7.1.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-namespace-impls = { "version" = "=7.1.0-beta.4", default-features = false, "tag" = "v7.1.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-table = { "version" = "=7.1.0-beta.4", "tag" = "v7.1.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-testing = { "version" = "=7.1.0-beta.4", "tag" = "v7.1.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-datafusion = { "version" = "=7.1.0-beta.4", "tag" = "v7.1.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-encoding = { "version" = "=7.1.0-beta.4", "tag" = "v7.1.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-arrow = { "version" = "=7.1.0-beta.4", "tag" = "v7.1.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
ahash = "0.8"
# Note that this one does not include pyarrow
arrow = { version = "58.0.0", optional = false }
arrow-array = "58.0.0"
arrow-buffer = "58.0.0"
arrow-data = "58.0.0"
arrow-ipc = "58.0.0"
arrow-ord = "58.0.0"
@@ -39,23 +38,21 @@ arrow-schema = "58.0.0"
arrow-select = "58.0.0"
arrow-cast = "58.0.0"
async-trait = "0"
datafusion = { version = "54.0.0", default-features = false }
datafusion-catalog = "54.0.0"
datafusion-common = { version = "54.0.0", default-features = false }
datafusion-execution = "54.0.0"
datafusion-expr = "54.0.0"
datafusion-functions = "54.0.0"
datafusion-physical-plan = "54.0.0"
datafusion-physical-expr = "54.0.0"
datafusion-sql = "54.0.0"
datafusion = { version = "53.0.0", default-features = false }
datafusion-catalog = "53.0.0"
datafusion-common = { version = "53.0.0", default-features = false }
datafusion-execution = "53.0.0"
datafusion-expr = "53.0.0"
datafusion-functions = "53.0.0"
datafusion-physical-plan = "53.0.0"
datafusion-physical-expr = "53.0.0"
datafusion-sql = "53.0.0"
env_logger = "0.11"
half = { "version" = "2.7.1", default-features = false, features = [
"num-traits",
] }
futures = "0"
log = "0.4"
metrics = "0.24"
metrics-util = "0.19"
moka = { version = "0.12", features = ["future"] }
object_store = "0.13.2"
pin-project = "1.0.7"
-26
View File
@@ -1,26 +0,0 @@
# Code review guidelines
Repo-specific guidance for automated PR reviews.
## Cross-SDK parity
LanceDB exposes the same core (`rust/lancedb`) through Python, TypeScript (`nodejs`),
and Java bindings. Behavioral drift between SDKs is a recurring problem, so watch for
parity gaps when reviewing — but only flag real ones:
* If the change adds or modifies user-facing API or behavior in the shared core
(`rust/lancedb`), check whether each binding that should expose it (`python`,
`nodejs`) does. A core change with no corresponding binding update is worth a note.
* If the change adds or modifies a public API in one SDK but not the other, open the
sibling SDK's corresponding module and state whether an equivalent exists. If not,
note it as a possible parity gap and suggest a follow-up issue.
* For bug fixes, first read the sibling SDK's analogous code path to check whether the
same bug exists there. Only raise parity if it actually does. Do not ask to "port" a
fix for a bug that only ever existed in one binding.
* Stay silent on internal-only refactors, tests, docs, and changes with no cross-SDK
surface.
* Parity expectations apply to the Python and TypeScript (`nodejs`) SDKs. Java currently
implements only the remote table, not the local/embedded backend, so it is expected to
be partial — do not flag Java for missing local-only functionality.
* Keep parity feedback to a short, clearly-labeled note (e.g. "Possible SDK parity
gap: …"). It is advisory, not a merge blocker.
-126
View File
@@ -1,126 +0,0 @@
#!/usr/bin/env python3
"""Prepare a Lance dependency update for LanceDB."""
from __future__ import annotations
import argparse
import json
import re
import subprocess
import sys
from pathlib import Path
from typing import Sequence
try:
from check_lance_release import parse_semver
except ModuleNotFoundError:
# Supports importing as ci.update_lance_dependency from tests or ad hoc checks.
from ci.check_lance_release import parse_semver # type: ignore
def normalize_version(raw: str) -> str:
value = raw.strip()
value = value.removeprefix("refs/tags/")
value = value.removeprefix("v")
try:
parse_semver(value)
except ValueError:
raise ValueError(f"Unsupported Lance version or tag: {raw}")
return value
def normalized_tag(version: str) -> str:
return f"v{version}"
def branch_name(version: str) -> str:
suffix = re.sub(r"[^a-zA-Z0-9]+", "-", version).strip("-")
suffix = re.sub(r"-+", "-", suffix)
return f"codex/update-lance-{suffix}"
def commit_type(version: str) -> str:
prerelease = version.split("-", maxsplit=1)[1] if "-" in version else ""
return "chore" if "beta" in prerelease or "rc" in prerelease else "feat"
def metadata_for(version: str) -> dict[str, str]:
kind = commit_type(version)
message = f"{kind}: update lance dependency to v{version}"
return {
"version": version,
"tag": normalized_tag(version),
"branch_name": branch_name(version),
"commit_type": kind,
"commit_message": message,
"pr_title": message,
}
def run_command(cmd: Sequence[str], *, cwd: Path) -> None:
subprocess.run(cmd, cwd=cwd, check=True)
def update_java_lance_core_version(repo_root: Path, version: str) -> None:
pom_path = repo_root / "java" / "pom.xml"
contents = pom_path.read_text(encoding="utf-8")
updated, count = re.subn(
r"(<lance-core\.version>)[^<]+(</lance-core\.version>)",
rf"\g<1>{version}\g<2>",
contents,
count=1,
)
if count != 1:
raise RuntimeError(
"Expected exactly one <lance-core.version> entry in java/pom.xml"
)
pom_path.write_text(updated, encoding="utf-8")
def write_github_outputs(path: str | None, payload: dict[str, str]) -> None:
if not path:
return
with open(path, "a", encoding="utf-8") as output:
for key, value in payload.items():
output.write(f"{key}={value}\n")
def main(argv: Sequence[str] | None = None) -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"tag_or_version",
help="Lance tag or version, for example refs/tags/v7.2.0-beta.1 or 7.2.0",
)
parser.add_argument(
"--repo-root",
type=Path,
default=Path(__file__).resolve().parents[1],
help="Path to the lancedb repository root",
)
parser.add_argument(
"--github-output",
default=None,
help="Optional GitHub Actions output file to receive metadata fields",
)
parser.add_argument(
"--metadata-only",
action="store_true",
help="Only print derived metadata; do not modify dependency files",
)
args = parser.parse_args(argv)
repo_root = args.repo_root.resolve()
version = normalize_version(args.tag_or_version)
payload = metadata_for(version)
if not args.metadata_only:
run_command([sys.executable, "ci/set_lance_version.py", version], cwd=repo_root)
update_java_lance_core_version(repo_root, version)
write_github_outputs(args.github_output, payload)
print(json.dumps(payload, sort_keys=True))
return 0
if __name__ == "__main__":
sys.exit(main())
+29 -25
View File
@@ -51,6 +51,18 @@ ignore = [
# https://rustsec.org/advisories/RUSTSEC-2024-0436
{ id = "RUSTSEC-2024-0436", reason = "transitive via datafusion; awaiting ecosystem migration" },
# encoding: unmaintained. Reached through lindera-dictionary, which is
# required by the native Lindera tokenizer path. Lindera has not migrated
# off this crate yet.
# https://rustsec.org/advisories/RUSTSEC-2021-0153
{ id = "RUSTSEC-2021-0153", reason = "transitive via lindera-dictionary for native Lindera tokenizer" },
# fast-float: unsound and unmaintained. Reached only through polars-arrow
# from the optional Polars integration; replacement requires a Polars
# dependency upgrade.
# https://rustsec.org/advisories/RUSTSEC-2024-0379
{ id = "RUSTSEC-2024-0379", reason = "transitive via polars-arrow; waiting on Polars migration" },
# tantivy: segfault on malformed input due to missing bounds check.
# Pulled in via lance for full-text search. We only feed tantivy
# documents we construct ourselves, not attacker-controlled bytes.
@@ -68,6 +80,18 @@ ignore = [
# https://rustsec.org/advisories/RUSTSEC-2025-0119
{ id = "RUSTSEC-2025-0119", reason = "transitive via hf-hub/indicatif; cosmetic formatting crate" },
# bincode: unmaintained. Reached through lindera and lindera-dictionary,
# which are required by the native Lindera tokenizer path. Lindera has not
# migrated to another serialization format yet.
# https://rustsec.org/advisories/RUSTSEC-2025-0141
{ id = "RUSTSEC-2025-0141", reason = "transitive via lindera/lindera-dictionary for native Lindera tokenizer" },
# lru: soundness issue in IterMut. Reached only through aws-sdk-s3 in
# LanceDB's dev-dependency graph; LanceDB does not use that iterator
# directly. Clearing this requires the AWS SDK chain to update lru.
# https://rustsec.org/advisories/RUSTSEC-2026-0002
{ id = "RUSTSEC-2026-0002", reason = "transitive via aws-sdk-s3 dev-dependency; waiting on AWS SDK lru upgrade" },
# rustls-webpki 0.101.7 (old major line): name-constraint checks for
# URI / wildcard names. Pulled in only via the legacy rustls 0.21 chain
# from aws-smithy-http-client. The 0.103 line we actively use is patched.
@@ -84,23 +108,11 @@ ignore = [
# https://rustsec.org/advisories/RUSTSEC-2026-0104
{ id = "RUSTSEC-2026-0104", reason = "only affects rustls-webpki 0.101 from legacy aws-smithy/rustls 0.21 chain" },
# pyo3 advisories in the Python bindings; tracked pending a patched pyo3 release.
# https://rustsec.org/advisories/RUSTSEC-2026-0176
# https://rustsec.org/advisories/RUSTSEC-2026-0177
{ id = "RUSTSEC-2026-0176", reason = "pyo3 in Python bindings; awaiting patched pyo3 release" },
{ id = "RUSTSEC-2026-0177", reason = "pyo3 in Python bindings; awaiting patched pyo3 release" },
# quick-xml < 0.41.0: quadratic runtime on duplicate attribute names (DoS).
# quick-xml < 0.41.0: unbounded namespace-declaration allocation in NsReader (DoS).
# Pulled in transitively by inferno (dev-only flame-graph dep), lance-namespace-impls
# (git dep from lance), and opendal/reqsign (cloud storage XML parsing). The XML
# parsed by opendal/reqsign comes from trusted cloud-storage endpoints (S3, GCS,
# Azure), not attacker-controlled input. Clearing requires upstream crates to migrate
# to quick-xml >= 0.41.0.
# https://rustsec.org/advisories/RUSTSEC-2026-0194
# https://rustsec.org/advisories/RUSTSEC-2026-0195
{ id = "RUSTSEC-2026-0194", reason = "transitive via inferno/lance/opendal; XML from trusted cloud endpoints, not attacker-controlled" },
{ id = "RUSTSEC-2026-0195", reason = "transitive via inferno/lance/opendal; XML from trusted cloud endpoints, not attacker-controlled" },
# rand 0.8.5: soundness issue only when ThreadRng reseeds inside a custom
# logger. Reached through several transitive chains. LanceDB does not use
# rand from a custom logger; upgrade once all pinned chains accept 0.8.6+.
# https://rustsec.org/advisories/RUSTSEC-2026-0097
{ id = "RUSTSEC-2026-0097", reason = "transitive rand 0.8.5; LanceDB does not call ThreadRng from custom logging" },
]
# ---------------------------------------------------------------------------
@@ -135,14 +147,6 @@ allow = [
"CDLA-Permissive-2.0",
]
confidence-threshold = 0.8
# Per-crate license exceptions: allow a license for a specific crate only,
# rather than globally via the `allow` list above.
exceptions = [
# CDDL-1.0 (copyleft) is pulled in only as a dev/profiling dependency via
# `inferno` -> `pprof` -> `lance-testing`; it is a test dependency that we
# do not distribute, so scope the allowance to `inferno` alone.
{ allow = ["CDDL-1.0"], crate = "inferno" },
]
# Crates whose license cannot be determined from Cargo metadata but whose
# license we've manually confirmed from upstream. Keep this list minimal.
[[licenses.clarify]]
+1 -1
View File
@@ -14,7 +14,7 @@ Add the following dependency to your `pom.xml`:
<dependency>
<groupId>com.lancedb</groupId>
<artifactId>lancedb-core</artifactId>
<version>0.32.0-beta.2</version>
<version>0.30.0-beta.1</version>
</dependency>
```
-43
View File
@@ -1,43 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / BranchContents
# Class: BranchContents
## Constructors
### new BranchContents()
```ts
new BranchContents(): BranchContents
```
#### Returns
[`BranchContents`](BranchContents.md)
## Properties
### manifestSize
```ts
manifestSize: number;
```
***
### parentBranch?
```ts
optional parentBranch: string;
```
***
### parentVersion
```ts
parentVersion: number;
```
-96
View File
@@ -1,96 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / Branches
# Class: Branches
Branch manager for a [Table](Table.md).
Unlike tags, `create` and `checkout` return a new [Table](Table.md) handle scoped
to the branch; writes on it do not affect `main`.
## Methods
### checkout()
```ts
checkout(name, version?): Promise<Table>
```
Check out an existing branch and return a handle scoped to it.
With `version` set, the returned handle is pinned to that version of the
branch (a read-only, detached view); otherwise it tracks the branch's
latest and stays writable.
#### Parameters
* **name**: `string`
* **version?**: `number`
#### Returns
`Promise`&lt;[`Table`](Table.md)&gt;
***
### create()
```ts
create(
name,
fromRef?,
fromVersion?): Promise<Table>
```
Create a branch and return a handle scoped to it.
#### Parameters
* **name**: `string`
Name of the new branch.
* **fromRef?**: `string`
Source branch to fork from. Defaults to `main`.
* **fromVersion?**: `number`
A specific version on `fromRef`. Defaults to latest.
#### Returns
`Promise`&lt;[`Table`](Table.md)&gt;
***
### delete()
```ts
delete(name): Promise<void>
```
Delete a branch.
#### Parameters
* **name**: `string`
#### Returns
`Promise`&lt;`void`&gt;
***
### list()
```ts
list(): Promise<Record<string, BranchContents>>
```
List all branches, mapping name to branch metadata.
#### Returns
`Promise`&lt;`Record`&lt;`string`, [`BranchContents`](BranchContents.md)&gt;&gt;
-18
View File
@@ -57,24 +57,6 @@ block size may be added in the future.
***
### fm()
```ts
static fm(): Index
```
Create an FM-Index.
An FM-Index is a scalar index on string or binary columns that accelerates
substring search, i.e. `contains(col, 'needle')`. Unlike the tokenized
full-text-search index, it matches arbitrary substrings of the raw bytes.
#### Returns
[`Index`](Index.md)
***
### fts()
```ts
-51
View File
@@ -76,57 +76,6 @@ the query optimizer chooses a suboptimal path.
***
### useLsmWrite()
```ts
useLsmWrite(useLsmWrite): MergeInsertBuilder
```
Controls whether the merge uses the MemWAL LSM write path.
By default (unset), a `mergeInsert` on a table with an LSM write spec is
routed through Lance's MemWAL shard writer, and a table without one uses
the standard path. Pass `false` to force the standard path even when a
spec is set. Pass `true` to require a spec — `mergeInsert` rejects if none
is installed.
#### Parameters
* **useLsmWrite**: `boolean`
Whether to use the LSM write path.
#### Returns
[`MergeInsertBuilder`](MergeInsertBuilder.md)
***
### validateSingleShard()
```ts
validateSingleShard(validateSingleShard): MergeInsertBuilder
```
Controls how an LSM merge checks that its input targets a single shard.
When a table has an LSM write spec, every row in a `mergeInsert` call must
route to the same shard. When `true` (the default), every row is inspected
to verify this. When `false`, only the first row is inspected and the
shard it routes to is used for the whole input — a faster path for callers
that have already pre-sharded their input. Has no effect on tables without
an LSM write spec.
#### Parameters
* **validateSingleShard**: `boolean`
Whether to check every row routes to one shard. Defaults to `true`.
#### Returns
[`MergeInsertBuilder`](MergeInsertBuilder.md)
***
### whenMatchedUpdateAll()
```ts
+1 -10
View File
@@ -33,7 +33,7 @@ protected inner: Query | Promise<Query>;
### analyzePlan()
```ts
analyzePlan(distributedMetrics?): Promise<string>
analyzePlan(): Promise<string>
```
Executes the query and returns the physical query plan annotated with runtime metrics.
@@ -41,12 +41,6 @@ Executes the query and returns the physical query plan annotated with runtime me
This is useful for debugging and performance analysis, as it shows how the query was executed
and includes metrics such as elapsed time, rows processed, and I/O statistics.
#### Parameters
* **distributedMetrics?**: [`AnalyzePlanDistributedMetrics`](../type-aliases/AnalyzePlanDistributedMetrics.md)
How distributed worker metrics are displayed for remote query plans.
Defaults to `"aggregate"`.
#### Returns
`Promise`&lt;`string`&gt;
@@ -524,9 +518,6 @@ x > 5 OR y = 'test'
Filtering performance can often be improved by creating a scalar index
on the filter column(s).
Calling this multiple times combines the filters with a logical AND rather
than replacing the previous filter.
```
#### Inherited from
+1 -7
View File
@@ -38,7 +38,7 @@ protected inner: NativeQueryType | Promise<NativeQueryType>;
### analyzePlan()
```ts
analyzePlan(distributedMetrics?): Promise<string>
analyzePlan(): Promise<string>
```
Executes the query and returns the physical query plan annotated with runtime metrics.
@@ -46,12 +46,6 @@ Executes the query and returns the physical query plan annotated with runtime me
This is useful for debugging and performance analysis, as it shows how the query was executed
and includes metrics such as elapsed time, rows processed, and I/O statistics.
#### Parameters
* **distributedMetrics?**: [`AnalyzePlanDistributedMetrics`](../type-aliases/AnalyzePlanDistributedMetrics.md)
How distributed worker metrics are displayed for remote query plans.
Defaults to `"aggregate"`.
#### Returns
`Promise`&lt;`string`&gt;
-122
View File
@@ -110,23 +110,6 @@ containing the new version number of the table after altering the columns.
***
### branches()
```ts
abstract branches(): Promise<Branches>
```
Get the branch manager for this table.
Branches are isolated, writable lines of history forked from another
branch (or version). Writes on a branch do not affect `main`.
#### Returns
`Promise`&lt;[`Branches`](Branches.md)&gt;
***
### checkout()
```ts
@@ -204,25 +187,6 @@ Any attempt to use the table after it is closed will result in an error.
***
### closeLsmWriters()
```ts
abstract closeLsmWriters(): Promise<void>
```
Drain and close any cached MemWAL shard writers held for this table.
When an [LsmWriteSpec](../interfaces/LsmWriteSpec.md) is installed, `mergeInsert` opens MemWAL
shard writers and caches them for reuse across calls. This closes them,
flushing pending data; writers reopen lazily on the next `mergeInsert`.
It is a no-op when no writers are cached.
#### Returns
`Promise`&lt;`void`&gt;
***
### countRows()
```ts
@@ -295,23 +259,6 @@ await table.createIndex("my_float_col");
***
### currentBranch()
```ts
abstract currentBranch(): null | string
```
The branch this table handle is scoped to, or `null` for the main branch.
A handle returned by [Branches.create](Branches.md#create) or [Branches.checkout](Branches.md#checkout)
reports the branch it targets; a handle opened normally reports `null`.
#### Returns
`null` \| `string`
***
### delete()
```ts
@@ -398,26 +345,6 @@ Drop an index from the table.
***
### getLsmWriteSpec()
```ts
abstract getLsmWriteSpec(): Promise<undefined | LsmWriteSpec>
```
Read the [LsmWriteSpec](../interfaces/LsmWriteSpec.md) currently installed on this table.
Resolves to `undefined` when the MemWAL LSM write path is not enabled (no
spec has been set, or it was removed with [Table#unsetLsmWriteSpec](Table.md#unsetlsmwritespec)).
The returned spec — including its `maintainedIndexes` and
`writerConfigDefaults` — mirrors what was passed to
[Table#setLsmWriteSpec](Table.md#setlsmwritespec).
#### Returns
`Promise`&lt;`undefined` \| [`LsmWriteSpec`](../interfaces/LsmWriteSpec.md)&gt;
***
### indexStats()
```ts
@@ -934,32 +861,6 @@ Return the table as an arrow table
***
### tokenize()
```ts
abstract tokenize(query, options): Promise<FtsToken[]>
```
Tokenize a full-text search query using the tokenizer configured on an FTS index.
Specify exactly one of `column` or `indexName`.
Model-backed tokenizers such as `jieba/*` and `lindera/*` are rebuilt in
the client process from index metadata. For remote tables, this means the
same tokenizer model files must also exist locally.
#### Parameters
* **query**: `string`
* **options**: [`TokenizeTableOptions`](../type-aliases/TokenizeTableOptions.md)
#### Returns
`Promise`&lt;[`FtsToken`](../interfaces/FtsToken.md)[]&gt;
***
### unsetLsmWriteSpec()
```ts
@@ -1074,29 +975,6 @@ based on the row being updated (e.g. "my_col + 1")
***
### updateFieldMetadata()
```ts
abstract updateFieldMetadata(updates): Promise<UpdateFieldMetadataResult>
```
Update per-field (column) metadata.
#### Parameters
* **updates**: [`FieldMetadataUpdate`](../interfaces/FieldMetadataUpdate.md)[]
One or more per-field updates. Each
update's metadata is merged into the field's existing metadata by default;
a value of `null` deletes that key, and `replace: true` swaps the whole map.
#### Returns
`Promise`&lt;[`UpdateFieldMetadataResult`](../interfaces/UpdateFieldMetadataResult.md)&gt;
resolves to the new table version.
***
### vectorSearch()
```ts
+1 -7
View File
@@ -29,7 +29,7 @@ protected inner: TakeQuery | Promise<TakeQuery>;
### analyzePlan()
```ts
analyzePlan(distributedMetrics?): Promise<string>
analyzePlan(): Promise<string>
```
Executes the query and returns the physical query plan annotated with runtime metrics.
@@ -37,12 +37,6 @@ Executes the query and returns the physical query plan annotated with runtime me
This is useful for debugging and performance analysis, as it shows how the query was executed
and includes metrics such as elapsed time, rows processed, and I/O statistics.
#### Parameters
* **distributedMetrics?**: [`AnalyzePlanDistributedMetrics`](../type-aliases/AnalyzePlanDistributedMetrics.md)
How distributed worker metrics are displayed for remote query plans.
Defaults to `"aggregate"`.
#### Returns
`Promise`&lt;`string`&gt;
+1 -10
View File
@@ -51,7 +51,7 @@ addQueryVector(vector): VectorQuery
### analyzePlan()
```ts
analyzePlan(distributedMetrics?): Promise<string>
analyzePlan(): Promise<string>
```
Executes the query and returns the physical query plan annotated with runtime metrics.
@@ -59,12 +59,6 @@ Executes the query and returns the physical query plan annotated with runtime me
This is useful for debugging and performance analysis, as it shows how the query was executed
and includes metrics such as elapsed time, rows processed, and I/O statistics.
#### Parameters
* **distributedMetrics?**: [`AnalyzePlanDistributedMetrics`](../type-aliases/AnalyzePlanDistributedMetrics.md)
How distributed worker metrics are displayed for remote query plans.
Defaults to `"aggregate"`.
#### Returns
`Promise`&lt;`string`&gt;
@@ -773,9 +767,6 @@ x > 5 OR y = 'test'
Filtering performance can often be improved by creating a scalar index
on the filter column(s).
Calling this multiple times combines the filters with a logical AND rather
than replacing the previous filter.
```
#### Inherited from
-29
View File
@@ -1,29 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / OAuthFlowType
# Enumeration: OAuthFlowType
OAuth authentication flow types.
## Enumeration Members
### AzureManagedIdentity
```ts
AzureManagedIdentity: "azure_managed_identity";
```
Azure Managed Identity via IMDS.
***
### ClientCredentials
```ts
ClientCredentials: "client_credentials";
```
Client Credentials grant (service-to-service / M2M).
@@ -1,42 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / instrumentLanceDbMetrics
# Function: instrumentLanceDbMetrics()
```ts
function instrumentLanceDbMetrics(meterProvider?): boolean
```
Register LanceDB metrics as OpenTelemetry observable instruments.
Installs a process-global metrics recorder and creates one observable
instrument per LanceDB metric (currently object store request counts, bytes,
latency, errors, and throttles) on the given (or global) `MeterProvider`. The
configured `MetricReader` then collects them on its own schedule.
Counters and gauges map directly to observable counters/gauges. Because
OpenTelemetry has no asynchronous histogram instrument, each histogram is
exported Prometheus-style as cumulative `le` bucket counts (`<name>_bucket`,
with an `le` attribute) plus `<name>_count` and `<name>_sum`.
Requires `@opentelemetry/api` (a dependency) and, to actually export, an
OpenTelemetry SDK such as `@opentelemetry/sdk-metrics`.
## Parameters
* **meterProvider?**: `MeterProvider`
The provider to register instruments on. Defaults to the
global provider from `@opentelemetry/api`.
## Returns
`boolean`
`true` if the recorder is installed and instruments are registered.
`false` if a different `metrics` recorder is already installed in this
process (only one global recorder is permitted), in which case a warning is
emitted and no instruments are created. Calling this more than once is safe;
instruments are created only on the first successful call.
-26
View File
@@ -1,26 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / tokenize
# Function: tokenize()
```ts
function tokenize(query, options?): Promise<FtsToken[]>
```
Tokenize a full-text search query using an explicit tokenizer.
This does not require a table or FTS index. The tokenizer options match
[Index.fts](../classes/Index.md#fts).
## Parameters
* **query**: `string`
* **options?**: `Partial`&lt;[`TokenizeOptions`](../interfaces/TokenizeOptions.md)&gt;
## Returns
`Promise`&lt;[`FtsToken`](../interfaces/FtsToken.md)[]&gt;
-14
View File
@@ -12,7 +12,6 @@
## Enumerations
- [FullTextQueryType](enumerations/FullTextQueryType.md)
- [OAuthFlowType](enumerations/OAuthFlowType.md)
- [Occur](enumerations/Occur.md)
- [Operator](enumerations/Operator.md)
@@ -20,8 +19,6 @@
- [BooleanQuery](classes/BooleanQuery.md)
- [BoostQuery](classes/BoostQuery.md)
- [BranchContents](classes/BranchContents.md)
- [Branches](classes/Branches.md)
- [Connection](classes/Connection.md)
- [HeaderProvider](classes/HeaderProvider.md)
- [Index](classes/Index.md)
@@ -68,11 +65,9 @@
- [DropNamespaceOptions](interfaces/DropNamespaceOptions.md)
- [DropNamespaceResponse](interfaces/DropNamespaceResponse.md)
- [ExecutableQuery](interfaces/ExecutableQuery.md)
- [FieldMetadataUpdate](interfaces/FieldMetadataUpdate.md)
- [FragmentStatistics](interfaces/FragmentStatistics.md)
- [FragmentSummaryStats](interfaces/FragmentSummaryStats.md)
- [FtsOptions](interfaces/FtsOptions.md)
- [FtsToken](interfaces/FtsToken.md)
- [FullTextQuery](interfaces/FullTextQuery.md)
- [FullTextSearchOptions](interfaces/FullTextSearchOptions.md)
- [HnswPqOptions](interfaces/HnswPqOptions.md)
@@ -87,8 +82,6 @@
- [ListNamespacesResponse](interfaces/ListNamespacesResponse.md)
- [LsmWriteSpec](interfaces/LsmWriteSpec.md)
- [MergeResult](interfaces/MergeResult.md)
- [NativeOAuthConfig](interfaces/NativeOAuthConfig.md)
- [OAuthConfig](interfaces/OAuthConfig.md)
- [OpenTableOptions](interfaces/OpenTableOptions.md)
- [OptimizeOptions](interfaces/OptimizeOptions.md)
- [OptimizeStats](interfaces/OptimizeStats.md)
@@ -108,8 +101,6 @@
- [TimeoutConfig](interfaces/TimeoutConfig.md)
- [TlsConfig](interfaces/TlsConfig.md)
- [TokenResponse](interfaces/TokenResponse.md)
- [TokenizeOptions](interfaces/TokenizeOptions.md)
- [UpdateFieldMetadataResult](interfaces/UpdateFieldMetadataResult.md)
- [UpdateOptions](interfaces/UpdateOptions.md)
- [UpdateResult](interfaces/UpdateResult.md)
- [Version](interfaces/Version.md)
@@ -118,8 +109,6 @@
## Type Aliases
- [AnalyzePlanDistributedMetrics](type-aliases/AnalyzePlanDistributedMetrics.md)
- [BaseTokenizer](type-aliases/BaseTokenizer.md)
- [Data](type-aliases/Data.md)
- [DataLike](type-aliases/DataLike.md)
- [FieldLike](type-aliases/FieldLike.md)
@@ -129,15 +118,12 @@
- [RecordBatchLike](type-aliases/RecordBatchLike.md)
- [SchemaLike](type-aliases/SchemaLike.md)
- [TableLike](type-aliases/TableLike.md)
- [TokenizeTableOptions](type-aliases/TokenizeTableOptions.md)
## Functions
- [RecordBatchIterator](functions/RecordBatchIterator.md)
- [connect](functions/connect.md)
- [connectNamespace](functions/connectNamespace.md)
- [instrumentLanceDbMetrics](functions/instrumentLanceDbMetrics.md)
- [makeArrowTable](functions/makeArrowTable.md)
- [packBits](functions/packBits.md)
- [permutationBuilder](functions/permutationBuilder.md)
- [tokenize](functions/tokenize.md)
@@ -64,19 +64,6 @@ client used by manifest-enabled native connections.
***
### oauthConfig?
```ts
optional oauthConfig: NativeOAuthConfig;
```
(For LanceDB cloud only): OAuth configuration for IdP-based
authentication (e.g., Azure Entra ID). When set, token acquisition
and refresh are handled entirely in Rust. TypeScript users should pass
the public `OAuthConfig` type exported from `@lancedb/lancedb`.
***
### readConsistencyInterval?
```ts
@@ -1,41 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / FieldMetadataUpdate
# Interface: FieldMetadataUpdate
A per-field metadata update, addressed by dot-path.
## Properties
### metadata
```ts
metadata: Record<string, null | string>;
```
Metadata key/value pairs. Merged into the field's existing metadata by
default; a value of `null` deletes that key.
***
### path
```ts
path: string;
```
Dot-separated path to the field. For a top-level column this is just its
name; for a nested field it's the path, e.g. "a.b.c".
***
### replace?
```ts
optional replace: boolean;
```
If true, replace the field's entire metadata map instead of merging.
+1 -5
View File
@@ -23,7 +23,7 @@ whether to remove punctuation
### baseTokenizer?
```ts
optional baseTokenizer: BaseTokenizer;
optional baseTokenizer: "raw" | "simple" | "whitespace" | "ngram";
```
The tokenizer to use when building the index.
@@ -37,10 +37,6 @@ The following tokenizers are available:
"raw" - Raw tokenizer. This tokenizer does not split the text into tokens and indexes the entire text as a single token.
"icu" - ICU dictionary-based word segmentation.
"icu/split" - ICU segmentation with simple-style delimiter splitting.
***
### language?
-29
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@@ -1,29 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / FtsToken
# Interface: FtsToken
Token produced by the tokenizer configured on a full-text search index.
## Properties
### position
```ts
position: number;
```
Token position used by full-text query matching.
***
### text
```ts
text: string;
```
Token text after tokenizer filters have been applied.
-109
View File
@@ -23,31 +23,6 @@ be more columns to represent composite indices.
***
### createdAt?
```ts
optional createdAt: Date;
```
When the index was created.
`undefined` for remote tables or indices created before timestamps were tracked.
***
### indexDetails?
```ts
optional indexDetails: any;
```
Index-type-specific details parsed as a JavaScript object.
Falls back to a raw string if JSON parsing fails. `undefined` for
remote tables or when details are unavailable.
***
### indexType
```ts
@@ -58,30 +33,6 @@ The type of the index
***
### indexUuid?
```ts
optional indexUuid: string;
```
The UUID of the first segment of the index.
`undefined` for remote tables, which do not yet surface this.
***
### indexVersion?
```ts
optional indexVersion: number;
```
The on-disk index format version.
`undefined` for remote tables.
***
### name
```ts
@@ -89,63 +40,3 @@ name: string;
```
The name of the index
***
### numIndexedRows?
```ts
optional numIndexedRows: number;
```
The number of rows indexed, across all segments.
`undefined` for remote tables.
***
### numSegments?
```ts
optional numSegments: number;
```
The number of segments that make up the index.
`undefined` for remote tables.
***
### numUnindexedRows?
```ts
optional numUnindexedRows: number;
```
The number of rows not yet covered by this index.
`undefined` for remote tables.
***
### sizeBytes?
```ts
optional sizeBytes: number;
```
The total size in bytes of all index files across all segments.
`undefined` for remote tables or indices without size tracking.
***
### typeUrl?
```ts
optional typeUrl: string;
```
The protobuf type URL, a precise type identifier for the index.
`undefined` for remote tables.
+11
View File
@@ -30,6 +30,17 @@ The type of the index
***
### loss?
```ts
optional loss: number;
```
The KMeans loss value of the index,
it is only present for vector indices.
***
### numIndexedRows
```ts
+1 -4
View File
@@ -11,10 +11,7 @@ Specification selecting Lance's MemWAL LSM-style write path for
`specType` is `"bucket"`, `"identity"`, or `"unsharded"`. For `"bucket"`,
`column` and `numBuckets` are required; for `"identity"`, `column` is
required and must be a deterministic function of the unenforced primary
key (every row with a given primary key must always produce the same
`column` value, or upserts of that key can land in different shards and a
stale version can win).
required.
## Properties
-8
View File
@@ -32,14 +32,6 @@ numInsertedRows: number;
***
### numRows
```ts
numRows: number;
```
***
### numUpdatedRows
```ts
@@ -1,88 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / NativeOAuthConfig
# Interface: NativeOAuthConfig
OAuth configuration for LanceDB authentication.
This is the generated napi-rs binding shape. TypeScript users should prefer
the public `OAuthConfig` type exported from `@lancedb/lancedb`.
All token acquisition and refresh is handled in the Rust layer.
## Properties
### clientId
```ts
clientId: string;
```
Application / Client ID.
***
### clientSecret?
```ts
optional clientSecret: string;
```
Client secret (required for client_credentials).
***
### flow?
```ts
optional flow: string;
```
Authentication flow: "client_credentials" or "azure_managed_identity"
***
### issuerUrl
```ts
issuerUrl: string;
```
OIDC issuer URL or OAuth authority URL.
For Azure: `https://login.microsoftonline.com/{tenant_id}/v2.0`
***
### managedIdentityClientId?
```ts
optional managedIdentityClientId: string;
```
Client ID for user-assigned managed identity (azure_managed_identity).
***
### refreshBufferSecs?
```ts
optional refreshBufferSecs: number;
```
Seconds before expiry to trigger proactive refresh (default: 300).
Keep this well below the token TTL; if it is greater than or equal to
the TTL, each request refreshes the token.
***
### scopes
```ts
scopes: string[];
```
OAuth scopes to request. For Azure managed identity, exactly one scope
or resource is required. For example: `["api://{app_id}/.default"]`
-111
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@@ -1,111 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / OAuthConfig
# Interface: OAuthConfig
OAuth configuration for LanceDB authentication.
This is the public TypeScript OAuth configuration type. The generated
`NativeOAuthConfig` type has the same runtime shape but is an implementation
detail of the napi-rs binding.
All token acquisition and refresh is handled in the Rust layer.
This config is passed through to Rust via napi-rs.
## Examples
```typescript
const config: OAuthConfig = {
issuerUrl: "https://login.microsoftonline.com/{tenant}/v2.0",
clientId: "app-id",
clientSecret: "secret",
scopes: ["api://lancedb-api/.default"],
};
```
```typescript
const config: OAuthConfig = {
issuerUrl: "https://login.microsoftonline.com/{tenant}/v2.0",
clientId: "app-id",
scopes: ["api://lancedb-api/.default"],
flow: OAuthFlowType.AzureManagedIdentity,
};
```
## Properties
### clientId
```ts
clientId: string;
```
Application / Client ID.
***
### clientSecret?
```ts
optional clientSecret: string;
```
Client secret (required for ClientCredentials).
***
### flow?
```ts
optional flow: OAuthFlowType;
```
Authentication flow (default: ClientCredentials).
***
### issuerUrl
```ts
issuerUrl: string;
```
OIDC issuer URL or OAuth authority URL.
For Azure: `https://login.microsoftonline.com/{tenant_id}/v2.0`
***
### managedIdentityClientId?
```ts
optional managedIdentityClientId: string;
```
Client ID for user-assigned managed identity (AzureManagedIdentity).
***
### refreshBufferSecs?
```ts
optional refreshBufferSecs: number;
```
Seconds before expiry to trigger proactive refresh (default: 300).
Keep this well below the token TTL; if it is greater than or equal to
the TTL, each request refreshes the token.
***
### scopes
```ts
scopes: string[];
```
OAuth scopes to request.
For Azure managed identity, exactly one scope or resource is required.
For example: `["api://{app_id}/.default"]`
@@ -8,18 +8,6 @@
## Properties
### branch?
```ts
optional branch: string;
```
Open the table scoped to this branch instead of the default branch.
Reads and writes on the returned table operate in the branch's context.
***
### ~~indexCacheSize?~~
```ts
@@ -55,17 +43,3 @@ Options already set on the connection will be inherited by the table,
but can be overridden here.
The available options are described at https://docs.lancedb.com/storage/
***
### version?
```ts
optional version: number;
```
Open the table pinned to this version, producing a read-only view.
Composes with [OpenTableOptions.branch](OpenTableOptions.md#branch): when both are set, opens
that branch at the version; otherwise opens `main` at the version. Call
`checkoutLatest` to return to a writable state.
@@ -8,14 +8,6 @@
## Properties
### clumpSize?
```ts
optional clumpSize: number;
```
***
### counts?
```ts
-109
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@@ -1,109 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / TokenizeOptions
# Interface: TokenizeOptions
Options for tokenizing a full-text search query without a table index.
## Properties
### asciiFolding?
```ts
optional asciiFolding: boolean;
```
Whether to fold ASCII characters.
***
### baseTokenizer?
```ts
optional baseTokenizer: BaseTokenizer;
```
The tokenizer to use. The default is "simple".
***
### language?
```ts
optional language: string;
```
Language for stemming and stop words.
***
### lowercase?
```ts
optional lowercase: boolean;
```
Whether to lowercase tokens.
***
### maxTokenLength?
```ts
optional maxTokenLength: number;
```
Maximum token length; tokens longer than this are ignored.
***
### ngramMaxLength?
```ts
optional ngramMaxLength: number;
```
N-gram maximum length.
***
### ngramMinLength?
```ts
optional ngramMinLength: number;
```
N-gram minimum length.
***
### prefixOnly?
```ts
optional prefixOnly: boolean;
```
Whether to only emit token prefixes for the n-gram tokenizer.
***
### removeStopWords?
```ts
optional removeStopWords: boolean;
```
Whether to remove stop words.
***
### stem?
```ts
optional stem: boolean;
```
Whether to stem tokens.
@@ -1,15 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / UpdateFieldMetadataResult
# Interface: UpdateFieldMetadataResult
## Properties
### version
```ts
version: number;
```
@@ -1,11 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / AnalyzePlanDistributedMetrics
# Type Alias: AnalyzePlanDistributedMetrics
```ts
type AnalyzePlanDistributedMetrics: "aggregate" | "per_worker" | "full";
```
-19
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@@ -1,19 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / BaseTokenizer
# Type Alias: BaseTokenizer
```ts
type BaseTokenizer:
| "simple"
| "whitespace"
| "raw"
| "ngram"
| "icu"
| "icu/split"
| `jieba/${string}`
| `lindera/${string}`;
```
@@ -1,11 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / TokenizeTableOptions
# Type Alias: TokenizeTableOptions
```ts
type TokenizeTableOptions: object | object;
```
+1 -1
View File
@@ -8,7 +8,7 @@
<parent>
<groupId>com.lancedb</groupId>
<artifactId>lancedb-parent</artifactId>
<version>0.32.0-beta.2</version>
<version>0.30.0-beta.1</version>
<relativePath>../pom.xml</relativePath>
</parent>
+2 -2
View File
@@ -6,7 +6,7 @@
<groupId>com.lancedb</groupId>
<artifactId>lancedb-parent</artifactId>
<version>0.32.0-beta.2</version>
<version>0.30.0-beta.1</version>
<packaging>pom</packaging>
<name>${project.artifactId}</name>
<description>LanceDB Java SDK Parent POM</description>
@@ -28,7 +28,7 @@
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<arrow.version>15.0.0</arrow.version>
<lance-core.version>9.1.0-beta.2</lance-core.version>
<lance-core.version>7.1.0-beta.4</lance-core.version>
<spotless.skip>false</spotless.skip>
<spotless.version>2.30.0</spotless.version>
<spotless.java.googlejavaformat.version>1.7</spotless.java.googlejavaformat.version>
+3 -7
View File
@@ -1,7 +1,7 @@
[package]
name = "lancedb-nodejs"
edition.workspace = true
version = "0.32.0-beta.2"
version = "0.30.0-beta.1"
publish = false
license.workspace = true
description.workspace = true
@@ -25,12 +25,8 @@ lancedb = { path = "../rust/lancedb", default-features = false }
lance-namespace.workspace = true
napi = { version = "3.8.3", default-features = false, features = [
"napi9",
"async",
"chrono_date",
"serde-json",
"async"
] }
chrono = { version = "0.4", default-features = false, features = ["clock"] }
serde_json = "1"
napi-derive = "3.5.2"
# Prevent dynamic linking of lzma, which comes from datafusion
lzma-sys = { version = "0.1", features = ["static"] }
@@ -44,6 +40,6 @@ aws-lc-rs = "=1.16.3"
napi-build = "2.3.1"
[features]
default = ["remote", "lancedb/aws", "lancedb/gcs", "lancedb/azure", "lancedb/dynamodb", "lancedb/oss", "lancedb/huggingface", "lancedb/goosefs", "lancedb/metrics-otel"]
default = ["remote", "lancedb/aws", "lancedb/gcs", "lancedb/azure", "lancedb/dynamodb", "lancedb/oss", "lancedb/huggingface"]
fp16kernels = ["lancedb/fp16kernels"]
remote = ["lancedb/remote"]
-114
View File
@@ -1,114 +0,0 @@
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
import {
MeterProvider,
type MetricData,
MetricReader,
} from "@opentelemetry/sdk-metrics";
import * as tmp from "tmp";
import { connect, instrumentLanceDbMetrics } from "../lancedb";
// snapshotLancedbMetrics is internal plumbing (not part of the public API), so
// it is imported from the native module rather than the package entry point.
import { snapshotLancedbMetrics } from "../lancedb/native";
// The metrics recorder is process-global and installed once, so the whole
// bridge is exercised in a single test to avoid cross-test global-state coupling.
// A minimal pull-based reader whose `collect()` we drive directly, invoking the
// observable-instrument callbacks. `@opentelemetry/sdk-metrics` ships no
// in-memory reader, so we subclass the abstract base.
class TestMetricReader extends MetricReader {
protected async onForceFlush(): Promise<void> {
// no-op: collection is driven directly via collect()
}
protected async onShutdown(): Promise<void> {
// no-op: nothing to release
}
}
async function metricsByName(
reader: TestMetricReader,
): Promise<Map<string, MetricData>> {
const collected = await reader.collect();
const result = new Map<string, MetricData>();
for (const scope of collected.resourceMetrics.scopeMetrics) {
for (const metric of scope.metrics) {
result.set(metric.descriptor.name, metric);
}
}
return result;
}
describe("OpenTelemetry metrics bridge", () => {
let tmpDir: tmp.DirResult;
beforeEach(() => {
tmpDir = tmp.dirSync({ unsafeCleanup: true });
});
afterEach(() => tmpDir.removeCallback());
it("snapshot is safe to call regardless of install state", () => {
expect(Array.isArray(snapshotLancedbMetrics())).toBe(true);
});
it("exports object store metrics via observable instruments", async () => {
const reader = new TestMetricReader();
const provider = new MeterProvider({ readers: [reader] });
expect(instrumentLanceDbMetrics(provider)).toBe(true);
// Generate object store activity on the local filesystem (scheme "file").
const db = await connect(tmpDir.name);
const data = Array.from({ length: 256 }, (_, i) => ({ id: i }));
const table = await db.createTable("t", data);
expect(await table.countRows()).toBe(256);
const metrics = await metricsByName(reader);
const requests = metrics.get("lance_object_store_requests_total");
expect(requests).toBeDefined();
// biome-ignore lint/suspicious/noExplicitAny: SDK point shape
const requestPoints = (requests!.dataPoints as any[]) ?? [];
expect(requestPoints.length).toBeGreaterThan(0);
for (const p of requestPoints) {
// Labelled by `operation` and `base` (the store scheme by default).
expect(p.attributes).toHaveProperty("base");
expect(p.attributes).toHaveProperty("operation");
}
const totalRequests = requestPoints.reduce((acc, p) => acc + p.value, 0);
expect(totalRequests).toBeGreaterThan(0);
// Histograms are decomposed into bucket / count / sum observable counters.
const bucket = metrics.get(
"lance_object_store_request_duration_seconds_bucket",
);
expect(bucket).toBeDefined();
// biome-ignore lint/suspicious/noExplicitAny: SDK point shape
const bucketPoints = (bucket!.dataPoints as any[]) ?? [];
expect(bucketPoints.length).toBeGreaterThan(0);
expect(bucketPoints.every((p) => "le" in p.attributes)).toBe(true);
// The implicit +Inf bucket must be present.
expect(bucketPoints.some((p) => p.attributes.le === "+Inf")).toBe(true);
const count = metrics.get(
"lance_object_store_request_duration_seconds_count",
);
expect(count).toBeDefined();
// biome-ignore lint/suspicious/noExplicitAny: SDK point shape
const countPoints = (count!.dataPoints as any[]) ?? [];
expect(countPoints.reduce((acc, p) => acc + p.value, 0)).toBeGreaterThan(0);
const sum = metrics.get("lance_object_store_request_duration_seconds_sum");
expect(sum).toBeDefined();
// biome-ignore lint/suspicious/noExplicitAny: SDK point shape
const sumPoints = (sum!.dataPoints as any[]) ?? [];
expect(sumPoints.reduce((acc, p) => acc + p.value, 0)).toBeGreaterThan(0);
// Unit handling: only `_sum` keeps the histogram's unit (seconds); `_bucket`
// and `_count` observe cumulative counts and are unitless.
expect(sum!.descriptor.unit).toBe("s");
expect(bucket!.descriptor.unit).toBe("");
expect(count!.descriptor.unit).toBe("");
await provider.shutdown();
});
});
-14
View File
@@ -215,20 +215,6 @@ describe("Query orderBy", () => {
expect(results[2].score).toBeCloseTo(4.1, 0.001);
});
it("should combine repeated where clauses with AND", async () => {
const results = await table
.query()
.where("score > 1.0")
.where("score < 3.0")
.orderBy({ columnName: "score" })
.toArray();
// Only rows matching both predicates should be returned, rather than the
// second where() silently replacing the first.
expect(results.length).toBe(2);
expect(results[0].score).toBeCloseTo(1.2, 0.001);
expect(results[1].score).toBeCloseTo(2.8, 0.001);
});
it("should support method chaining with limit", async () => {
const results = await table
.query()
-34
View File
@@ -191,40 +191,6 @@ describe("remote connection", () => {
);
});
it("supports version time-travel and branches on remote", async () => {
await withMockDatabase(
(req, res) => {
const body = req.url?.includes("/branches/list")
? JSON.stringify({
branches: {
exp: { parentVersion: 1, createAt: 1, manifestSize: 1 },
},
})
: JSON.stringify({ name: "t", version: 2, schema: { fields: [] } });
res.writeHead(200, { "Content-Type": "application/json" }).end(body);
},
async (db) => {
// version-only (and "main" + version) time-travel the main chain
const v2 = await db.openTable("t", undefined, { version: 2 });
expect(v2.currentBranch()).toBeNull();
const mainV2 = await db.openTable("t", undefined, {
branch: "main",
version: 2,
});
expect(mainV2.currentBranch()).toBeNull();
// a non-main branch opens a handle scoped to that branch
const exp = await db.openTable("t", undefined, { branch: "exp" });
expect(exp.currentBranch()).toBe("exp");
const expV2 = await db.openTable("t", undefined, {
branch: "exp",
version: 2,
});
expect(expV2.currentBranch()).toBe("exp");
},
);
});
describe("TlsConfig", () => {
it("should create TlsConfig with all fields", () => {
const tlsConfig: TlsConfig = {
+25 -612
View File
@@ -16,7 +16,6 @@ import {
PhraseQuery,
Table,
connect,
tokenize,
} from "../lancedb";
import {
Table as ArrowTable,
@@ -86,140 +85,6 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
await expect(table.countRows()).resolves.toBe(3);
});
it("should support branches", async () => {
await table.add([{ id: 1 }]);
expect(await table.countRows()).toBe(1);
expect(table.currentBranch()).toBeNull();
// fork an isolated, writable branch from main
const branch = await (await table.branches()).create("exp");
expect(branch.currentBranch()).toBe("exp");
expect(await branch.countRows()).toBe(1);
await branch.add([{ id: 2 }]);
expect(await branch.countRows()).toBe(2);
// main is untouched by branch writes
expect(await table.countRows()).toBe(1);
// listed, with main (null) as the parent
const list = await (await table.branches()).list();
expect(Object.keys(list)).toContain("exp");
expect(list["exp"].parentBranch).toBeNull();
// fromRef="main" is equivalent to the default
await (await table.branches()).create("exp2", "main");
const list2 = await (await table.branches()).list();
expect(list2["exp2"].parentBranch).toBeNull();
// checkout returns a handle scoped to the branch's latest
const checkedOut = await (await table.branches()).checkout("exp");
expect(checkedOut.currentBranch()).toBe("exp");
expect(await checkedOut.countRows()).toBe(2);
// delete removes it
await (await table.branches()).delete("exp");
await (await table.branches()).delete("exp2");
const after = await (await table.branches()).list();
expect(Object.keys(after)).not.toContain("exp");
});
it("should open a branch via open_table", async () => {
const db = await connect(tmpDir.name);
await table.add([{ id: 1 }]);
const branch = await (await table.branches()).create("exp");
await branch.add([{ id: 2 }]);
// open_table(..., { branch }) returns a handle scoped to the branch
const opened = await db.openTable("some_table", undefined, {
branch: "exp",
});
expect(await opened.countRows()).toBe(2);
// opening without branch still tracks main
expect(await (await db.openTable("some_table")).countRows()).toBe(1);
});
it("should open a branch at a version isolated from main and HEAD", async () => {
const db = await connect(tmpDir.name);
// main: a single fork-point row
const t = await db.createTable("bv_table", [{ id: 0 }]);
const mainV1 = await t.version();
// fork "exp", then advance exp AND main independently past the fork so
// they diverge while sharing version numbers
const exp = await (await t.branches()).create("exp");
await exp.add([{ id: 1 }]); // exp: {0, 1}
const expV2 = await exp.version();
await exp.add([{ id: 2 }]); // exp HEAD: {0, 1, 2}
await t.add([{ id: 100 }, { id: 101 }, { id: 102 }]); // main HEAD: {0,100,101,102}
expect(await t.version()).toBe(expV2);
// open exp at the shared version: the data must be exp's, not main's.
// count alone cannot prove this (main@v2 also exists), so assert
// provenance by content.
const pinned = await db.openTable("bv_table", undefined, {
branch: "exp",
version: expV2,
});
expect(await pinned.countRows()).toBe(2); // not exp HEAD (3), not main@v2 (4)
expect(await pinned.countRows("id = 1")).toBe(1); // exp's post-fork row
expect(await pinned.countRows("id = 100")).toBe(0); // main's rows invisible
// the same coordinate is reachable directly via branches().checkout(name, version)
const pinnedDirect = await (await t.branches()).checkout("exp", expV2);
expect(await pinnedDirect.countRows()).toBe(2);
// the HEADs are unaffected
expect(
await (
await db.openTable("bv_table", undefined, { branch: "exp" })
).countRows(),
).toBe(3);
expect(await (await db.openTable("bv_table")).countRows()).toBe(4);
// version-only (no branch) time-travels main itself: its fork-point
// version holds only main's first row, and the shared version number
// resolves to main's data, not the branch's ("opens main at the version")
const oldMain = await db.openTable("bv_table", undefined, {
version: mainV1,
});
expect(await oldMain.countRows()).toBe(1);
const sharedOnMain = await db.openTable("bv_table", undefined, {
version: expV2,
});
expect(await sharedOnMain.countRows()).toBe(4); // main@v2, not exp@v2 (2)
// detached head: writing to a pinned version is rejected
await expect(pinned.add([{ id: 9 }])).rejects.toThrow(
/cannot be modified/,
);
// a nonexistent version is rejected -- on main, and on a branch (a
// distinct resolution path, on the branch's manifests)
await expect(
db.openTable("bv_table", undefined, { version: 9999 }),
).rejects.toThrow();
await expect(
db.openTable("bv_table", undefined, { branch: "exp", version: 9999 }),
).rejects.toThrow();
// checkoutLatest re-attaches the pinned handle to the BRANCH's HEAD
// (writable again), not main's HEAD (4), and not staying pinned (2)
await pinned.checkoutLatest();
expect(await pinned.countRows()).toBe(3); // exp HEAD
await pinned.add([{ id: 3 }]);
expect(await pinned.countRows()).toBe(4); // writable again
});
it("rejects invalid branch inputs", async () => {
const branches = await table.branches();
await expect(branches.create("")).rejects.toThrow("non-empty");
await expect(branches.checkout("")).rejects.toThrow("non-empty");
await expect(branches.delete("")).rejects.toThrow("non-empty");
await expect(branches.create("bad", "main", -1)).rejects.toThrow(
"non-negative",
);
});
it("should show table stats", async () => {
await table.add([{ id: 1 }, { id: 2 }]);
await table.add([{ id: 1 }]);
@@ -850,15 +715,13 @@ describe("When creating an index", () => {
expect(fs.readdirSync(indexDir)).toHaveLength(1);
const indices = await tbl.listIndices();
expect(indices.length).toBe(1);
expect(indices[0]).toEqual(
expect.objectContaining({
name: "vec_idx",
indexType: "IvfPq",
columns: ["vec"],
}),
);
expect(indices[0]).toEqual({
name: "vec_idx",
indexType: "IvfPq",
columns: ["vec"],
});
const stats = await tbl.indexStats("vec_idx");
expect(stats).toBeDefined();
expect(stats?.loss).toBeDefined();
// Search without specifying the column
let rst = await tbl
@@ -918,22 +781,10 @@ describe("When creating an index", () => {
expect(indices2.length).toBe(0);
});
it("should preserve canonical nested field paths across index lifecycle", async () => {
it("should create and search a nested vector index", async () => {
const db = await connect(tmpDir.name);
const nestedSchema = new Schema([
new Field("rowId", new Int32(), true),
new Field("row-id", new Int32(), true),
new Field("userId", new Int32(), true),
new Field(
"metadata",
new Struct([new Field("user_id", new Int32(), true)]),
true,
),
new Field(
"MetaData",
new Struct([new Field("userId", new Int32(), true)]),
true,
),
new Field("id", new Int32(), true),
new Field(
"image",
new Struct([
@@ -945,146 +796,27 @@ describe("When creating an index", () => {
]),
true,
),
new Field(
"payload",
new Struct([new Field("text", new Utf8(), true)]),
true,
),
new Field(
"meta-data",
new Struct([new Field("user-id", new Int32(), true)]),
true,
),
new Field(
"literal",
new Struct([new Field("a.b", new Int32(), true)]),
true,
),
]);
const nestedTable = await db.createTable(
"nested_field_index_lifecycle",
"nested_vector",
makeArrowTable(
Array.from({ length: 300 }, (_, rowId) => ({
rowId,
"row-id": rowId,
userId: rowId,
metadata: { ["user_id"]: rowId },
["MetaData"]: { userId: rowId },
image: { embedding: [rowId, rowId + 1] },
payload: { text: `document ${rowId}` },
"meta-data": { "user-id": rowId },
literal: { "a.b": rowId },
Array.from({ length: 300 }, (_, id) => ({
id,
image: { embedding: [id, id + 1] },
})),
{ schema: nestedSchema },
),
);
await nestedTable.createIndex("rowId", {
config: Index.btree(),
name: "row_id_idx",
});
await nestedTable.createIndex("`row-id`", {
config: Index.btree(),
name: "row_dash_id_idx",
});
await nestedTable.createIndex("userId", {
config: Index.btree(),
name: "top_user_id_idx",
});
await nestedTable.createIndex("metadata.user_id", {
config: Index.btree(),
name: "nested_user_id_idx",
});
await nestedTable.createIndex("MetaData.userId", {
config: Index.btree(),
name: "mixed_case_metadata_user_id_idx",
});
await nestedTable.createIndex("`meta-data`.`user-id`", {
config: Index.btree(),
name: "escaped_names_idx",
});
await nestedTable.createIndex("literal.`a.b`", {
config: Index.btree(),
name: "literal_dot_idx",
});
await nestedTable.createIndex("image.embedding", {
name: "image_embedding_idx",
});
await nestedTable.createIndex("payload.text", {
config: Index.fts({ withPosition: false }),
name: "payload_text_idx",
});
const indices = await nestedTable.listIndices();
expect(indices).toEqual(
expect.arrayContaining([
expect.objectContaining({
name: "row_id_idx",
indexType: "BTree",
columns: ["rowId"],
}),
expect.objectContaining({
name: "row_dash_id_idx",
indexType: "BTree",
columns: ["`row-id`"],
}),
expect.objectContaining({
name: "top_user_id_idx",
indexType: "BTree",
columns: ["userId"],
}),
expect.objectContaining({
name: "nested_user_id_idx",
indexType: "BTree",
columns: ["metadata.user_id"],
}),
expect.objectContaining({
name: "mixed_case_metadata_user_id_idx",
indexType: "BTree",
columns: ["MetaData.userId"],
}),
expect.objectContaining({
name: "escaped_names_idx",
indexType: "BTree",
columns: ["`meta-data`.`user-id`"],
}),
expect.objectContaining({
name: "literal_dot_idx",
indexType: "BTree",
columns: ["literal.`a.b`"],
}),
expect.objectContaining({
name: "image_embedding_idx",
indexType: "IvfPq",
columns: ["image.embedding"],
}),
expect.objectContaining({
name: "payload_text_idx",
indexType: "FTS",
columns: ["payload.text"],
}),
]),
);
const stats = await nestedTable.indexStats(
"mixed_case_metadata_user_id_idx",
);
expect(stats?.numIndexedRows).toEqual(300);
expect(stats?.indexType).toEqual("BTREE");
const filtered = await nestedTable
.query()
.where("MetaData.userId = 42")
.limit(1)
.toArray();
expect(filtered[0].MetaData.userId).toEqual(42);
const escapedFiltered = await nestedTable
.query()
.where("`row-id` = 43")
.limit(1)
.toArray();
expect(escapedFiltered[0]["row-id"]).toEqual(43);
expect(indices).toContainEqual({
name: "image_embedding_idx",
indexType: "IvfPq",
columns: ["image.embedding"],
});
const explicit = await nestedTable
.query()
@@ -1097,37 +829,7 @@ describe("When creating an index", () => {
.nearestTo([0.0, 1.0])
.limit(1)
.toArray();
expect(inferred[0].rowId).toEqual(explicit[0].rowId);
await nestedTable.add([
{
rowId: 300,
"row-id": 300,
userId: 300,
metadata: { ["user_id"]: 300 },
["MetaData"]: { userId: 300 },
image: { embedding: [300.0, 301.0] },
payload: { text: "document 300" },
"meta-data": { "user-id": 300 },
literal: { "a.b": 300 },
},
]);
await nestedTable.optimize();
const indicesAfterOptimize = await nestedTable.listIndices();
expect(indicesAfterOptimize).toEqual(
expect.arrayContaining([
expect.objectContaining({
name: "mixed_case_metadata_user_id_idx",
indexType: "BTree",
columns: ["MetaData.userId"],
}),
expect.objectContaining({
name: "image_embedding_idx",
indexType: "IvfPq",
columns: ["image.embedding"],
}),
]),
);
expect(inferred[0].id).toEqual(explicit[0].id);
});
it("should report multiple nested vector candidates", async () => {
@@ -1261,13 +963,11 @@ describe("When creating an index", () => {
expect(fs.readdirSync(indexDir)).toHaveLength(1);
const indices = await tbl.listIndices();
expect(indices.length).toBe(1);
expect(indices[0]).toEqual(
expect.objectContaining({
name: "vec_idx",
indexType: "IvfHnswSq",
columns: ["vec"],
}),
);
expect(indices[0]).toEqual({
name: "vec_idx",
indexType: "IvfHnswSq",
columns: ["vec"],
});
// Search without specifying the column
let rst = await tbl
@@ -1440,20 +1140,6 @@ describe("When creating an index", () => {
expect(fs.readdirSync(indexDir)).toHaveLength(1);
});
test("create an FM index", async () => {
// FM-Index accelerates substring search on a string/binary column.
const db = await connect(tmpDir.name);
const fmTbl = await db.createTable("fm_table", [
{ id: 0, text: "hello world" },
{ id: 1, text: "foo bar" },
]);
await fmTbl.createIndex("text", {
config: Index.fm(),
});
const indexDir = path.join(tmpDir.name, "fm_table.lance", "_indices");
expect(fs.readdirSync(indexDir)).toHaveLength(1);
});
test("should be able to get index stats", async () => {
await tbl.createIndex("id");
@@ -1464,6 +1150,7 @@ describe("When creating an index", () => {
expect(stats?.distanceType).toBeUndefined();
expect(stats?.indexType).toEqual("BTREE");
expect(stats?.numIndices).toEqual(1);
expect(stats?.loss).toBeUndefined();
});
test("when getting stats on non-existent index", async () => {
@@ -1613,35 +1300,6 @@ describe("When creating an index", () => {
expect(rst64Query.toString()).toEqual(rst64Search.toString());
expect(rst64Query.numRows).toBe(2);
});
it("should expose rich metadata fields on IndexConfig", async () => {
await tbl.createIndex("id", { config: Index.btree() });
await tbl.createIndex("vec");
const indicesByName = Object.fromEntries(
(await tbl.listIndices()).map((idx) => [idx.name, idx]),
);
const scalarIdx = indicesByName["id_idx"];
expect(scalarIdx).toBeDefined();
expect(typeof scalarIdx.indexUuid).toBe("string");
expect(scalarIdx.numIndexedRows).toBe(300);
expect(scalarIdx.numUnindexedRows).toBe(0);
expect(scalarIdx.numSegments).toBeGreaterThanOrEqual(1);
expect(scalarIdx.sizeBytes).toBeGreaterThan(0);
// Use toString check to avoid cross-realm instanceof failures with native Date objects
expect(Object.prototype.toString.call(scalarIdx.createdAt)).toBe(
"[object Date]",
);
expect((scalarIdx.createdAt as Date).getTime()).toBeGreaterThan(0);
expect(typeof scalarIdx.indexDetails).toBe("object");
const vectorIdx = indicesByName["vec_idx"];
expect(vectorIdx).toBeDefined();
expect(typeof vectorIdx.indexUuid).toBe("string");
expect(vectorIdx.numIndexedRows).toBe(300);
expect(typeof vectorIdx.indexDetails).toBe("object");
});
});
describe("When querying a table", () => {
@@ -1913,33 +1571,6 @@ describe("schema evolution", function () {
expect(await table.schema()).toEqual(expectedSchema3);
});
it("can update field metadata", async function () {
const con = await connect(tmpDir.name);
const table = await con.createTable("fm", [
{ id: 1, category: "a" },
{ id: 2, category: "b" },
]);
const res = await table.updateFieldMetadata([
{ path: "category", metadata: { unit: "label", pii: "false" } },
]);
expect(res).toHaveProperty("version");
expect(res.version).toBe(2);
let cat = (await table.schema()).fields.find((f) => f.name === "category");
expect(cat?.metadata.get("unit")).toBe("label");
expect(cat?.metadata.get("pii")).toBe("false");
// merge: add a key, delete one via null, keep the rest
await table.updateFieldMetadata([
{ path: "category", metadata: { source: "import", pii: null } },
]);
cat = (await table.schema()).fields.find((f) => f.name === "category");
expect(cat?.metadata.get("unit")).toBe("label"); // preserved
expect(cat?.metadata.get("source")).toBe("import"); // added
expect(cat?.metadata.has("pii")).toBe(false); // deleted
});
it("can cast to various types", async function () {
const con = await connect(tmpDir.name);
@@ -2308,75 +1939,6 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
expect(results2[0].text).toBe(data[1].text);
});
test("tokenizes FTS queries by column or index name", async () => {
const db = await connect(tmpDir.name);
const data = [
{
text: "Running in cafés",
japanese: "Hello, こんにちは世界!",
vector: [0.1, 0.2, 0.3],
},
];
const table = await db.createTable("test", data);
await table.createIndex("text", {
config: Index.fts({ baseTokenizer: "simple" }),
});
await table.createIndex("japanese", {
config: Index.fts({
baseTokenizer: "icu",
stem: false,
removeStopWords: false,
}),
name: "japanese_icu_idx",
});
await expect(table.tokenize("hello", {} as never)).rejects.toThrow(
"Specify exactly one",
);
await expect(
table.tokenize("hello", {
column: "text",
indexName: "text_idx",
} as never),
).rejects.toThrow("Specify exactly one");
const simpleTokens = await table.tokenize("Running in cafés", {
column: "text",
});
expect(simpleTokens).toEqual([
{ text: "run", position: 0 },
{ text: "cafe", position: 2 },
]);
const icuTokens = await table.tokenize("Hello, こんにちは世界!", {
indexName: "japanese_icu_idx",
});
expect(icuTokens).toEqual([
{ text: "hello", position: 0 },
{ text: "こんにちは", position: 1 },
{ text: "世界", position: 2 },
]);
const directSimpleTokens = await tokenize("Running in cafés", {
baseTokenizer: "simple",
});
expect(directSimpleTokens).toEqual([
{ text: "run", position: 0 },
{ text: "cafe", position: 2 },
]);
const directIcuTokens = await tokenize("Hello, こんにちは世界!", {
baseTokenizer: "icu",
stem: false,
removeStopWords: false,
});
expect(directIcuTokens).toEqual([
{ text: "hello", position: 0 },
{ text: "こんにちは", position: 1 },
{ text: "世界", position: 2 },
]);
});
test("full text search fast search", async () => {
const db = await connect(tmpDir.name);
const data = [{ text: "hello world", vector: [0.1, 0.2, 0.3], id: 1 }];
@@ -2775,13 +2337,8 @@ describe("when calling analyzePlan", () => {
.fill(1)
.map(() => Math.random());
const plan = await table.query().nearestTo(queryVec).analyzePlan();
console.log("Query Plan:\n", plan); // <--- Print the plan
expect(plan).toMatch("AnalyzeExec");
const fullPlan = await table
.query()
.nearestTo(queryVec)
.analyzePlan("full");
expect(fullPlan).toMatch("AnalyzeExec");
});
});
@@ -3067,148 +2624,4 @@ describe("setLsmWriteSpec / unsetLsmWriteSpec", () => {
}),
).rejects.toThrow();
});
it("reads back the installed spec via getLsmWriteSpec", async () => {
const conn = await connect(tmpDir.name);
const table = await makeTable(conn);
await table.setUnenforcedPrimaryKey("id");
// Nothing installed yet.
expect(await table.getLsmWriteSpec()).toBeUndefined();
// A real scalar index is needed to name it as a maintained index.
await table.add([{ id: 1 }, { id: 2 }, { id: 3 }]);
await table.createIndex("id");
const indexName = (await table.listIndices())[0].name;
// Bucket spec round-trips, including maintained indexes and writer config
// defaults. Lance writer-config keys are canonically snake_case.
// biome-ignore lint/style/useNamingConvention: Lance writer-config keys are snake_case
const writerConfigDefaults = { durable_write: "false" };
await table.setLsmWriteSpec({
specType: "bucket",
column: "id",
numBuckets: 4,
maintainedIndexes: [indexName],
writerConfigDefaults,
});
const spec = await table.getLsmWriteSpec();
expect(spec).toBeDefined();
expect(spec?.specType).toBe("bucket");
expect(spec?.column).toBe("id");
expect(spec?.numBuckets).toBe(4);
expect(spec?.maintainedIndexes).toEqual([indexName]);
expect(spec?.writerConfigDefaults).toEqual(writerConfigDefaults);
// After unset, undefined again.
await table.unsetLsmWriteSpec();
expect(await table.getLsmWriteSpec()).toBeUndefined();
// Identity round-trips (column recovered from the schema).
await table.setLsmWriteSpec({ specType: "identity", column: "id" });
const identity = await table.getLsmWriteSpec();
expect(identity?.specType).toBe("identity");
expect(identity?.column).toBe("id");
await table.unsetLsmWriteSpec();
// Unsharded round-trips (no routing column).
await table.setLsmWriteSpec({ specType: "unsharded" });
const unsharded = await table.getLsmWriteSpec();
expect(unsharded?.specType).toBe("unsharded");
expect(unsharded?.column).toBeFalsy();
});
});
describe("LSM merge insert", () => {
let tmpDir: tmp.DirResult;
beforeEach(() => {
tmpDir = tmp.dirSync({ unsafeCleanup: true });
});
afterEach(() => tmpDir.removeCallback());
async function bucketTable(conn: Connection): Promise<Table> {
// The primary key column must be non-nullable.
const table = await conn.createEmptyTable(
"t",
new arrow.Schema([
new arrow.Field("id", new arrow.Utf8(), false),
new arrow.Field("value", new arrow.Float64(), true),
]),
);
await table.add([
{ id: "a", value: 1 },
{ id: "b", value: 2 },
]);
await table.setUnenforcedPrimaryKey("id");
// numBuckets = 1: every row routes to the single bucket.
await table.setLsmWriteSpec({
specType: "bucket",
column: "id",
numBuckets: 1,
});
return table;
}
it("routes merge_insert through the shard writer", async () => {
const conn = await connect(tmpDir.name);
const table = await bucketTable(conn);
const res = await table
.mergeInsert("id")
.whenMatchedUpdateAll()
.whenNotMatchedInsertAll()
.execute([
{ id: "c", value: 3 },
{ id: "d", value: 4 },
]);
// LSM path: rows go to the MemWAL, so only numRows is populated.
expect(res.numRows).toBe(2);
expect(res.version).toBe(0);
expect(res.numInsertedRows).toBe(0);
await table.closeLsmWriters();
});
it("falls back to the standard path with useLsmWrite(false)", async () => {
const conn = await connect(tmpDir.name);
const table = await bucketTable(conn);
const res = await table
.mergeInsert("id")
.whenNotMatchedInsertAll()
.useLsmWrite(false)
.execute([
{ id: "b", value: 9 },
{ id: "e", value: 5 },
]);
// Standard path commits: id="e" inserted ("b" already exists).
expect(res.numInsertedRows).toBe(1);
expect(await table.countRows()).toBe(3);
});
it("supports validateSingleShard(false)", async () => {
const conn = await connect(tmpDir.name);
const table = await bucketTable(conn);
const res = await table
.mergeInsert("id")
.whenMatchedUpdateAll()
.whenNotMatchedInsertAll()
.validateSingleShard(false)
.execute([{ id: "f", value: 6 }]);
expect(res.numRows).toBe(1);
});
it("rejects a non-upsert merge under an LSM spec", async () => {
const conn = await connect(tmpDir.name);
const table = await bucketTable(conn);
await expect(
table
.mergeInsert("id")
.whenNotMatchedInsertAll()
.execute([{ id: "g", value: 7 }]),
).rejects.toThrow();
});
});
+1 -28
View File
@@ -84,20 +84,6 @@ export interface CreateTableOptions {
}
export interface OpenTableOptions {
/**
* Open the table scoped to this branch instead of the default branch.
*
* Reads and writes on the returned table operate in the branch's context.
*/
branch?: string;
/**
* Open the table pinned to this version, producing a read-only view.
*
* Composes with {@link OpenTableOptions.branch}: when both are set, opens
* that branch at the version; otherwise opens `main` at the version. Call
* `checkoutLatest` to return to a writable state.
*/
version?: number;
/**
* Configuration for object storage.
*
@@ -497,20 +483,7 @@ export class LocalConnection extends Connection {
options?.indexCacheSize,
);
let table: Table = new LocalTable(innerTable);
// "main" is the default branch, so treat it as no branch. On a real branch,
// scope and pin in one step (yielding "version V of branch B"); otherwise
// pin the version, if any, against main.
const branch =
options?.branch != null && options.branch !== "main"
? options.branch
: undefined;
if (branch != null) {
table = await (await table.branches()).checkout(branch, options?.version);
} else if (options?.version != null) {
await table.checkout(options.version);
}
return table;
return new LocalTable(innerTable);
}
async cloneTable(
-81
View File
@@ -13,21 +13,13 @@ import {
Connection as LanceDbConnection,
JsHeaderProvider as NativeJsHeaderProvider,
Session,
tokenize as nativeTokenize,
} from "./native.js";
import { HeaderProvider } from "./header";
import type { BaseTokenizer } from "./indices";
import type { FtsToken } from "./table";
// Re-export native header provider for use with connectWithHeaderProvider
export { JsHeaderProvider as NativeJsHeaderProvider } from "./native.js";
// OpenTelemetry metrics bridge. Only the high-level entry point is public; the
// underlying recorder/catalog/snapshot functions remain internal plumbing that
// `otel.ts` consumes from the native module.
export { instrumentLanceDbMetrics } from "./otel";
export {
AddColumnsSql,
ConnectionOptions,
@@ -46,12 +38,10 @@ export {
FragmentSummaryStats,
Tags,
TagContents,
BranchContents,
MergeResult,
AddResult,
AddColumnsResult,
AlterColumnsResult,
UpdateFieldMetadataResult,
DeleteResult,
DropColumnsResult,
UpdateResult,
@@ -60,7 +50,6 @@ export {
SplitHashOptions,
SplitSequentialOptions,
ShuffleOptions,
OAuthConfig as NativeOAuthConfig,
} from "./native.js";
export {
@@ -93,7 +82,6 @@ export {
QueryBase,
VectorQuery,
TakeQuery,
AnalyzePlanDistributedMetrics,
QueryExecutionOptions,
ColumnOrdering,
FullTextSearchOptions,
@@ -118,22 +106,17 @@ export {
HnswPqOptions,
HnswSqOptions,
FtsOptions,
BaseTokenizer,
} from "./indices";
export {
Table,
Branches,
AddDataOptions,
UpdateOptions,
OptimizeOptions,
Version,
WriteProgress,
FtsToken,
TokenizeTableOptions,
LsmWriteSpec,
ColumnAlteration,
FieldMetadataUpdate,
} from "./table";
export {
@@ -143,8 +126,6 @@ export {
TokenResponse,
} from "./header";
export { OAuthConfig, OAuthFlowType } from "./oauth";
export { MergeInsertBuilder, WriteExecutionOptions } from "./merge";
export * as embedding from "./embedding";
@@ -162,68 +143,6 @@ export {
} from "./arrow";
export { IntoSql, packBits } from "./util";
/**
* Options for tokenizing a full-text search query without a table index.
*/
export interface TokenizeOptions {
/**
* The tokenizer to use. The default is "simple".
*/
baseTokenizer?: BaseTokenizer;
/** Language for stemming and stop words. */
language?: string;
/** Maximum token length; tokens longer than this are ignored. */
maxTokenLength?: number;
/** Whether to lowercase tokens. */
lowercase?: boolean;
/** Whether to stem tokens. */
stem?: boolean;
/** Whether to remove stop words. */
removeStopWords?: boolean;
/** Whether to fold ASCII characters. */
asciiFolding?: boolean;
/** N-gram minimum length. */
ngramMinLength?: number;
/** N-gram maximum length. */
ngramMaxLength?: number;
/** Whether to only emit token prefixes for the n-gram tokenizer. */
prefixOnly?: boolean;
}
/**
* Tokenize a full-text search query using an explicit tokenizer.
*
* This does not require a table or FTS index. The tokenizer options match
* {@link Index.fts}.
*/
export async function tokenize(
query: string,
options?: Partial<TokenizeOptions>,
): Promise<FtsToken[]> {
return await nativeTokenize(
query,
options?.baseTokenizer,
options?.language,
options?.maxTokenLength,
options?.lowercase,
options?.stem,
options?.removeStopWords,
options?.asciiFolding,
options?.ngramMinLength,
options?.ngramMaxLength,
options?.prefixOnly,
);
}
/**
* Connect to a LanceDB instance at the given URI.
*
+1 -26
View File
@@ -486,16 +486,6 @@ export interface IvfFlatOptions {
sampleRate?: number;
}
export type BaseTokenizer =
| "simple"
| "whitespace"
| "raw"
| "ngram"
| "icu"
| "icu/split"
| `jieba/${string}`
| `lindera/${string}`;
/**
* Options to create a full text search index
*/
@@ -519,12 +509,8 @@ export interface FtsOptions {
* "whitespace" - Whitespace tokenizer. This tokenizer splits the text into tokens using whitespace as a delimiter.
*
* "raw" - Raw tokenizer. This tokenizer does not split the text into tokens and indexes the entire text as a single token.
*
* "icu" - ICU dictionary-based word segmentation.
*
* "icu/split" - ICU segmentation with simple-style delimiter splitting.
*/
baseTokenizer?: BaseTokenizer;
baseTokenizer?: "simple" | "whitespace" | "raw" | "ngram";
/**
* language for stemming and stop words
@@ -716,17 +702,6 @@ export class Index {
return new Index(LanceDbIndex.labelList());
}
/**
* Create an FM-Index.
*
* An FM-Index is a scalar index on string or binary columns that accelerates
* substring search, i.e. `contains(col, 'needle')`. Unlike the tokenized
* full-text-search index, it matches arbitrary substrings of the raw bytes.
*/
static fm() {
return new Index(LanceDbIndex.fm());
}
/**
* Create a full text search index
*
-35
View File
@@ -87,41 +87,6 @@ export class MergeInsertBuilder {
this.#schema,
);
}
/**
* Controls whether the merge uses the MemWAL LSM write path.
*
* By default (unset), a `mergeInsert` on a table with an LSM write spec is
* routed through Lance's MemWAL shard writer, and a table without one uses
* the standard path. Pass `false` to force the standard path even when a
* spec is set. Pass `true` to require a spec — `mergeInsert` rejects if none
* is installed.
*
* @param useLsmWrite - Whether to use the LSM write path.
*/
useLsmWrite(useLsmWrite: boolean): MergeInsertBuilder {
return new MergeInsertBuilder(
this.#native.useLsmWrite(useLsmWrite),
this.#schema,
);
}
/**
* Controls how an LSM merge checks that its input targets a single shard.
*
* When a table has an LSM write spec, every row in a `mergeInsert` call must
* route to the same shard. When `true` (the default), every row is inspected
* to verify this. When `false`, only the first row is inspected and the
* shard it routes to is used for the whole input — a faster path for callers
* that have already pre-sharded their input. Has no effect on tables without
* an LSM write spec.
*
* @param validateSingleShard - Whether to check every row routes to one shard. Defaults to `true`.
*/
validateSingleShard(validateSingleShard: boolean): MergeInsertBuilder {
return new MergeInsertBuilder(
this.#native.validateSingleShard(validateSingleShard),
this.#schema,
);
}
/**
* Executes the merge insert operation
*
-76
View File
@@ -1,76 +0,0 @@
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
/**
* OAuth authentication flow types.
*/
export enum OAuthFlowType {
/** Client Credentials grant (service-to-service / M2M). */
ClientCredentials = "client_credentials",
/** Azure Managed Identity via IMDS. */
AzureManagedIdentity = "azure_managed_identity",
}
/**
* OAuth configuration for LanceDB authentication.
*
* This is the public TypeScript OAuth configuration type. The generated
* `NativeOAuthConfig` type has the same runtime shape but is an implementation
* detail of the napi-rs binding.
*
* All token acquisition and refresh is handled in the Rust layer.
* This config is passed through to Rust via napi-rs.
*
* @example Client Credentials (service-to-service):
* ```typescript
* const config: OAuthConfig = {
* issuerUrl: "https://login.microsoftonline.com/{tenant}/v2.0",
* clientId: "app-id",
* clientSecret: "secret",
* scopes: ["api://lancedb-api/.default"],
* };
* ```
*
* @example Azure Managed Identity:
* ```typescript
* const config: OAuthConfig = {
* issuerUrl: "https://login.microsoftonline.com/{tenant}/v2.0",
* clientId: "app-id",
* scopes: ["api://lancedb-api/.default"],
* flow: OAuthFlowType.AzureManagedIdentity,
* };
* ```
*/
export interface OAuthConfig {
/**
* OIDC issuer URL or OAuth authority URL.
* For Azure: `https://login.microsoftonline.com/{tenant_id}/v2.0`
*/
issuerUrl: string;
/** Application / Client ID. */
clientId: string;
/**
* OAuth scopes to request.
* For Azure managed identity, exactly one scope or resource is required.
* For example: `["api://{app_id}/.default"]`
*/
scopes: string[];
/** Authentication flow (default: ClientCredentials). */
flow?: OAuthFlowType;
/** Client secret (required for ClientCredentials). */
clientSecret?: string;
/** Client ID for user-assigned managed identity (AzureManagedIdentity). */
managedIdentityClientId?: string;
/**
* Seconds before expiry to trigger proactive refresh (default: 300).
* Keep this well below the token TTL; if it is greater than or equal to
* the TTL, each request refreshes the token.
*/
refreshBufferSecs?: number;
}
-137
View File
@@ -1,137 +0,0 @@
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
import {
type Attributes,
type MeterProvider,
type ObservableResult,
metrics,
} from "@opentelemetry/api";
import {
lancedbMetricsCatalog,
registerLancedbMetricsRecorder,
snapshotLancedbMetrics,
} from "./native";
let instrumented = false;
/**
* Register LanceDB metrics as OpenTelemetry observable instruments.
*
* Installs a process-global metrics recorder and creates one observable
* instrument per LanceDB metric (currently object store request counts, bytes,
* latency, errors, and throttles) on the given (or global) `MeterProvider`. The
* configured `MetricReader` then collects them on its own schedule.
*
* Counters and gauges map directly to observable counters/gauges. Because
* OpenTelemetry has no asynchronous histogram instrument, each histogram is
* exported Prometheus-style as cumulative `le` bucket counts (`<name>_bucket`,
* with an `le` attribute) plus `<name>_count` and `<name>_sum`.
*
* Requires `@opentelemetry/api` (a dependency) and, to actually export, an
* OpenTelemetry SDK such as `@opentelemetry/sdk-metrics`.
*
* @param meterProvider The provider to register instruments on. Defaults to the
* global provider from `@opentelemetry/api`.
* @returns `true` if the recorder is installed and instruments are registered.
* `false` if a different `metrics` recorder is already installed in this
* process (only one global recorder is permitted), in which case a warning is
* emitted and no instruments are created. Calling this more than once is safe;
* instruments are created only on the first successful call.
*/
export function instrumentLanceDbMetrics(
meterProvider?: MeterProvider,
): boolean {
if (!registerLancedbMetricsRecorder()) {
console.warn(
"Could not install the LanceDB metrics recorder: another `metrics` " +
"recorder is already installed in this process. LanceDB metrics will " +
"not be exported via OpenTelemetry.",
);
return false;
}
if (instrumented) {
return true;
}
const provider = meterProvider ?? metrics.getMeterProvider();
const meter = provider.getMeter("lancedb");
const scalarCallback = (metricName: string) => (result: ObservableResult) => {
for (const point of snapshotLancedbMetrics()) {
if (point.name === metricName && point.value != null) {
result.observe(point.value, point.attributes);
}
}
};
const bucketCallback = (metricName: string) => (result: ObservableResult) => {
for (const point of snapshotLancedbMetrics()) {
if (point.name !== metricName || point.buckets == null) {
continue;
}
for (const bucket of point.buckets) {
const attributes: Attributes = {
...point.attributes,
le: bucket.le,
};
result.observe(bucket.cumulativeCount, attributes);
}
}
};
const fieldCallback =
(metricName: string, field: "count" | "sum") =>
(result: ObservableResult) => {
for (const point of snapshotLancedbMetrics()) {
if (point.name !== metricName) {
continue;
}
const value = point[field];
if (value != null) {
result.observe(value, point.attributes);
}
}
};
for (const desc of lancedbMetricsCatalog()) {
const unit = desc.unit ?? "";
if (desc.kind === "counter") {
const counter = meter.createObservableCounter(desc.name, {
unit,
description: desc.description,
});
counter.addCallback(scalarCallback(desc.name));
} else if (desc.kind === "gauge") {
const gauge = meter.createObservableGauge(desc.name, {
unit,
description: desc.description,
});
gauge.addCallback(scalarCallback(desc.name));
} else if (desc.kind === "histogram") {
// `_bucket` and `_count` observe cumulative sample counts, not the
// histogram's measured quantity, so they are unitless; only `_sum`
// carries the histogram's unit.
const bucket = meter.createObservableCounter(`${desc.name}_bucket`, {
description: `${desc.description} (cumulative buckets)`,
});
bucket.addCallback(bucketCallback(desc.name));
const count = meter.createObservableCounter(`${desc.name}_count`, {
description: `${desc.description} (count)`,
});
count.addCallback(fieldCallback(desc.name, "count"));
const sum = meter.createObservableCounter(`${desc.name}_sum`, {
unit,
description: `${desc.description} (sum)`,
});
sum.addCallback(fieldCallback(desc.name, "sum"));
}
}
instrumented = true;
return true;
}
+3 -15
View File
@@ -79,8 +79,6 @@ export interface QueryExecutionOptions {
timeoutMs?: number;
}
export type AnalyzePlanDistributedMetrics = "aggregate" | "per_worker" | "full";
export interface ColumnOrdering {
columnName: string;
ascending?: boolean;
@@ -313,20 +311,13 @@ export class QueryBase<
* KNNVectorDistance: metric=l2, metrics=[output_rows=1, elapsed_compute=114.333µs, output_batches=1]
* LanceScan: uri=/path/to/data, projection=[vector], row_id=true, row_addr=false, ordered=false, metrics=[output_rows=1, elapsed_compute=103.626µs, bytes_read=549, iops=2, requests=2]
*
* @param distributedMetrics - How distributed worker metrics are displayed for remote query plans.
* Defaults to `"aggregate"`.
* @returns A query execution plan with runtime metrics for each step.
*/
async analyzePlan(
distributedMetrics?: AnalyzePlanDistributedMetrics,
): Promise<string> {
const distributedMetricsMode = distributedMetrics ?? "aggregate";
async analyzePlan(): Promise<string> {
if (this.inner instanceof Promise) {
return this.inner.then((inner) =>
inner.analyzePlan(distributedMetricsMode),
);
return this.inner.then((inner) => inner.analyzePlan());
} else {
return this.inner.analyzePlan(distributedMetricsMode);
return this.inner.analyzePlan();
}
}
@@ -371,9 +362,6 @@ export class StandardQueryBase<
*
* Filtering performance can often be improved by creating a scalar index
* on the filter column(s).
*
* Calling this multiple times combines the filters with a logical AND rather
* than replacing the previous filter.
*/
where(predicate: string): this {
this.doCall((inner: NativeQueryType) => inner.onlyIf(predicate));
+1 -197
View File
@@ -25,16 +25,13 @@ import {
AddColumnsSql,
AddResult,
AlterColumnsResult,
BranchContents,
DeleteResult,
DropColumnsResult,
IndexConfig,
IndexStatistics,
Branches as NativeBranches,
OptimizeStats,
TableStatistics,
Tags,
UpdateFieldMetadataResult,
UpdateResult,
Table as _NativeTable,
} from "./native";
@@ -158,36 +155,13 @@ export interface Version {
metadata: Record<string, string>;
}
/** Token produced by the tokenizer configured on a full-text search index. */
export interface FtsToken {
/** Token text after tokenizer filters have been applied. */
text: string;
/** Token position used by full-text query matching. */
position: number;
}
export type TokenizeTableOptions =
| {
/** FTS-indexed column whose tokenizer should be used. */
column: string;
indexName?: never;
}
| {
/** Name of the FTS index whose tokenizer should be used. */
indexName: string;
column?: never;
};
/**
* Specification selecting Lance's MemWAL LSM-style write path for
* `mergeInsert`.
*
* `specType` is `"bucket"`, `"identity"`, or `"unsharded"`. For `"bucket"`,
* `column` and `numBuckets` are required; for `"identity"`, `column` is
* required and must be a deterministic function of the unenforced primary
* key (every row with a given primary key must always produce the same
* `column` value, or upserts of that key can land in different shards and a
* stale version can win).
* required.
*/
export interface LsmWriteSpec {
/** One of `"bucket"`, `"identity"`, or `"unsharded"`. */
@@ -531,18 +505,6 @@ export abstract class Table {
abstract alterColumns(
columnAlterations: ColumnAlteration[],
): Promise<AlterColumnsResult>;
/**
* Update per-field (column) metadata.
* @param {FieldMetadataUpdate[]} updates One or more per-field updates. Each
* update's metadata is merged into the field's existing metadata by default;
* a value of `null` deletes that key, and `replace: true` swaps the whole map.
* @returns {Promise<UpdateFieldMetadataResult>} resolves to the new table version.
*/
abstract updateFieldMetadata(
updates: FieldMetadataUpdate[],
): Promise<UpdateFieldMetadataResult>;
/**
* Drop one or more columns from the dataset
*
@@ -605,27 +567,6 @@ export abstract class Table {
* @returns {Promise<void>}
*/
abstract unsetLsmWriteSpec(): Promise<void>;
/**
* Read the {@link LsmWriteSpec} currently installed on this table.
*
* Resolves to `undefined` when the MemWAL LSM write path is not enabled (no
* spec has been set, or it was removed with {@link Table#unsetLsmWriteSpec}).
* The returned spec — including its `maintainedIndexes` and
* `writerConfigDefaults` — mirrors what was passed to
* {@link Table#setLsmWriteSpec}.
* @returns {Promise<LsmWriteSpec | undefined>}
*/
abstract getLsmWriteSpec(): Promise<LsmWriteSpec | undefined>;
/**
* Drain and close any cached MemWAL shard writers held for this table.
*
* When an {@link LsmWriteSpec} is installed, `mergeInsert` opens MemWAL
* shard writers and caches them for reuse across calls. This closes them,
* flushing pending data; writers reopen lazily on the next `mergeInsert`.
* It is a no-op when no writers are cached.
* @returns {Promise<void>}
*/
abstract closeLsmWriters(): Promise<void>;
/** Retrieve the version of the table */
abstract version(): Promise<number>;
@@ -686,22 +627,6 @@ export abstract class Table {
*/
abstract tags(): Promise<Tags>;
/**
* Get the branch manager for this table.
*
* Branches are isolated, writable lines of history forked from another
* branch (or version). Writes on a branch do not affect `main`.
*/
abstract branches(): Promise<Branches>;
/**
* The branch this table handle is scoped to, or `null` for the main branch.
*
* A handle returned by {@link Branches.create} or {@link Branches.checkout}
* reports the branch it targets; a handle opened normally reports `null`.
*/
abstract currentBranch(): string | null;
/**
* Restore the table to the currently checked out version
*
@@ -736,19 +661,6 @@ export abstract class Table {
abstract optimize(options?: Partial<OptimizeOptions>): Promise<OptimizeStats>;
/** List all indices that have been created with {@link Table.createIndex} */
abstract listIndices(): Promise<IndexConfig[]>;
/**
* Tokenize a full-text search query using the tokenizer configured on an FTS index.
*
* Specify exactly one of `column` or `indexName`.
*
* Model-backed tokenizers such as `jieba/*` and `lindera/*` are rebuilt in
* the client process from index metadata. For remote tables, this means the
* same tokenizer model files must also exist locally.
*/
abstract tokenize(
query: string,
options: TokenizeTableOptions,
): Promise<FtsToken[]>;
/** Return the table as an arrow table */
abstract toArrow(): Promise<ArrowTable>;
@@ -1112,12 +1024,6 @@ export class LocalTable extends Table {
return await this.inner.alterColumns(processedAlterations);
}
async updateFieldMetadata(
updates: FieldMetadataUpdate[],
): Promise<UpdateFieldMetadataResult> {
return await this.inner.updateFieldMetadata(updates);
}
async dropColumns(columnNames: string[]): Promise<DropColumnsResult> {
return await this.inner.dropColumns(columnNames);
}
@@ -1135,19 +1041,6 @@ export class LocalTable extends Table {
return await this.inner.unsetLsmWriteSpec();
}
async getLsmWriteSpec(): Promise<LsmWriteSpec | undefined> {
// The native binding types `specType` as a plain `string`; narrow it back
// to the public union. The Rust `From` impl only ever emits one of the
// three valid values, so the cast is safe.
return ((await this.inner.getLsmWriteSpec()) ?? undefined) as
| LsmWriteSpec
| undefined;
}
async closeLsmWriters(): Promise<void> {
return await this.inner.closeLsmWriters();
}
async version(): Promise<number> {
return await this.inner.version();
}
@@ -1179,14 +1072,6 @@ export class LocalTable extends Table {
return await this.inner.tags();
}
async branches(): Promise<Branches> {
return new Branches(await this.inner.branches());
}
currentBranch(): string | null {
return this.inner.currentBranch() ?? null;
}
async optimize(options?: Partial<OptimizeOptions>): Promise<OptimizeStats> {
let cleanupOlderThanMs;
if (
@@ -1206,17 +1091,6 @@ export class LocalTable extends Table {
return await this.inner.listIndices();
}
async tokenize(
query: string,
options: TokenizeTableOptions,
): Promise<FtsToken[]> {
return await this.inner.tokenize(
query,
options?.column,
options?.indexName,
);
}
async toArrow(): Promise<ArrowTable> {
return await this.query().toArrow();
}
@@ -1312,73 +1186,3 @@ export interface ColumnAlteration {
/** Set the new nullability. Note that a nullable column cannot be made non-nullable. */
nullable?: boolean;
}
/** A per-field metadata update, addressed by dot-path. */
export interface FieldMetadataUpdate {
/**
* Dot-separated path to the field. For a top-level column this is just its
* name; for a nested field it's the path, e.g. "a.b.c".
*/
path: string;
/**
* Metadata key/value pairs. Merged into the field's existing metadata by
* default; a value of `null` deletes that key.
*/
metadata: Record<string, string | null>;
/** If true, replace the field's entire metadata map instead of merging. */
replace?: boolean;
}
/**
* Branch manager for a {@link Table}.
*
* Unlike tags, `create` and `checkout` return a new {@link Table} handle scoped
* to the branch; writes on it do not affect `main`.
*/
export class Branches {
#inner: NativeBranches;
/**
* Construct a Branches manager. Internal use only.
* @hidden
*/
constructor(inner: NativeBranches) {
this.#inner = inner;
}
/** List all branches, mapping name to branch metadata. */
async list(): Promise<Record<string, BranchContents>> {
return await this.#inner.list();
}
/**
* Create a branch and return a handle scoped to it.
*
* @param name Name of the new branch.
* @param fromRef Source branch to fork from. Defaults to `main`.
* @param fromVersion A specific version on `fromRef`. Defaults to latest.
*/
async create(
name: string,
fromRef?: string,
fromVersion?: number,
): Promise<Table> {
return new LocalTable(await this.#inner.create(name, fromRef, fromVersion));
}
/**
* Check out an existing branch and return a handle scoped to it.
*
* With `version` set, the returned handle is pinned to that version of the
* branch (a read-only, detached view); otherwise it tracks the branch's
* latest and stays writable.
*/
async checkout(name: string, version?: number): Promise<Table> {
return new LocalTable(await this.#inner.checkout(name, version));
}
/** Delete a branch. */
async delete(name: string): Promise<void> {
return await this.#inner.delete(name);
}
}
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-darwin-arm64",
"version": "0.32.0-beta.2",
"version": "0.30.0-beta.1",
"os": ["darwin"],
"cpu": ["arm64"],
"main": "lancedb.darwin-arm64.node",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-arm64-gnu",
"version": "0.32.0-beta.2",
"version": "0.30.0-beta.1",
"os": ["linux"],
"cpu": ["arm64"],
"main": "lancedb.linux-arm64-gnu.node",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-arm64-musl",
"version": "0.32.0-beta.2",
"version": "0.30.0-beta.1",
"os": ["linux"],
"cpu": ["arm64"],
"main": "lancedb.linux-arm64-musl.node",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-x64-gnu",
"version": "0.32.0-beta.2",
"version": "0.30.0-beta.1",
"os": ["linux"],
"cpu": ["x64"],
"main": "lancedb.linux-x64-gnu.node",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-x64-musl",
"version": "0.32.0-beta.2",
"version": "0.30.0-beta.1",
"os": ["linux"],
"cpu": ["x64"],
"main": "lancedb.linux-x64-musl.node",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-win32-arm64-msvc",
"version": "0.32.0-beta.2",
"version": "0.30.0-beta.1",
"os": [
"win32"
],
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-win32-x64-msvc",
"version": "0.32.0-beta.2",
"version": "0.30.0-beta.1",
"os": ["win32"],
"cpu": ["x64"],
"main": "lancedb.win32-x64-msvc.node",
+7 -78
View File
@@ -1,12 +1,12 @@
{
"name": "@lancedb/lancedb",
"version": "0.32.0-beta.2",
"version": "0.30.0-beta.1",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "@lancedb/lancedb",
"version": "0.32.0-beta.2",
"version": "0.30.0-beta.1",
"cpu": [
"x64",
"arm64"
@@ -18,7 +18,6 @@
"win32"
],
"dependencies": {
"@opentelemetry/api": "^1.9.0",
"reflect-metadata": "^0.2.2"
},
"devDependencies": {
@@ -27,8 +26,7 @@
"@aws-sdk/client-s3": "3.1003.0",
"@biomejs/biome": "^1.7.3",
"@jest/globals": "^29.7.0",
"@napi-rs/cli": "3.7.0",
"@opentelemetry/sdk-metrics": "^1.30.0",
"@napi-rs/cli": "3.5.1",
"@types/axios": "^0.14.0",
"@types/jest": "^29.1.2",
"@types/node": "22.7.4",
@@ -2944,9 +2942,9 @@
}
},
"node_modules/@napi-rs/cli": {
"version": "3.7.0",
"resolved": "https://registry.npmjs.org/@napi-rs/cli/-/cli-3.7.0.tgz",
"integrity": "sha512-3d3+rmxlOIV/G1zPWeX4PCxuYnhcCQM2BvY9rtimC8RO0dFR9gtYP+Grov+WoduZtfWRj5N1XvytWeRxxCk5zw==",
"version": "3.5.1",
"resolved": "https://registry.npmjs.org/@napi-rs/cli/-/cli-3.5.1.tgz",
"integrity": "sha512-XBfLQRDcB3qhu6bazdMJsecWW55kR85l5/k0af9BIBELXQSsCFU0fzug7PX8eQp6vVdm7W/U3z6uP5WmITB2Gw==",
"dev": true,
"license": "MIT",
"dependencies": {
@@ -2956,7 +2954,7 @@
"@octokit/rest": "^22.0.1",
"clipanion": "^4.0.0-rc.4",
"colorette": "^2.0.20",
"emnapi": "^1.10.0",
"emnapi": "^1.7.1",
"es-toolkit": "^1.41.0",
"js-yaml": "^4.1.0",
"obug": "^2.0.0",
@@ -4150,75 +4148,6 @@
"@octokit/openapi-types": "^27.0.0"
}
},
"node_modules/@opentelemetry/api": {
"version": "1.9.1",
"resolved": "https://registry.npmjs.org/@opentelemetry/api/-/api-1.9.1.tgz",
"integrity": "sha512-gLyJlPHPZYdAk1JENA9LeHejZe1Ti77/pTeFm/nMXmQH/HFZlcS/O2XJB+L8fkbrNSqhdtlvjBVjxwUYanNH5Q==",
"license": "Apache-2.0",
"engines": {
"node": ">=8.0.0"
}
},
"node_modules/@opentelemetry/core": {
"version": "1.30.1",
"resolved": "https://registry.npmjs.org/@opentelemetry/core/-/core-1.30.1.tgz",
"integrity": "sha512-OOCM2C/QIURhJMuKaekP3TRBxBKxG/TWWA0TL2J6nXUtDnuCtccy49LUJF8xPFXMX+0LMcxFpCo8M9cGY1W6rQ==",
"dev": true,
"license": "Apache-2.0",
"dependencies": {
"@opentelemetry/semantic-conventions": "1.28.0"
},
"engines": {
"node": ">=14"
},
"peerDependencies": {
"@opentelemetry/api": ">=1.0.0 <1.10.0"
}
},
"node_modules/@opentelemetry/resources": {
"version": "1.30.1",
"resolved": "https://registry.npmjs.org/@opentelemetry/resources/-/resources-1.30.1.tgz",
"integrity": "sha512-5UxZqiAgLYGFjS4s9qm5mBVo433u+dSPUFWVWXmLAD4wB65oMCoXaJP1KJa9DIYYMeHu3z4BZcStG3LC593cWA==",
"dev": true,
"license": "Apache-2.0",
"dependencies": {
"@opentelemetry/core": "1.30.1",
"@opentelemetry/semantic-conventions": "1.28.0"
},
"engines": {
"node": ">=14"
},
"peerDependencies": {
"@opentelemetry/api": ">=1.0.0 <1.10.0"
}
},
"node_modules/@opentelemetry/sdk-metrics": {
"version": "1.30.1",
"resolved": "https://registry.npmjs.org/@opentelemetry/sdk-metrics/-/sdk-metrics-1.30.1.tgz",
"integrity": "sha512-q9zcZ0Okl8jRgmy7eNW3Ku1XSgg3sDLa5evHZpCwjspw7E8Is4K/haRPDJrBcX3YSn/Y7gUvFnByNYEKQNbNog==",
"dev": true,
"license": "Apache-2.0",
"dependencies": {
"@opentelemetry/core": "1.30.1",
"@opentelemetry/resources": "1.30.1"
},
"engines": {
"node": ">=14"
},
"peerDependencies": {
"@opentelemetry/api": ">=1.3.0 <1.10.0"
}
},
"node_modules/@opentelemetry/semantic-conventions": {
"version": "1.28.0",
"resolved": "https://registry.npmjs.org/@opentelemetry/semantic-conventions/-/semantic-conventions-1.28.0.tgz",
"integrity": "sha512-lp4qAiMTD4sNWW4DbKLBkfiMZ4jbAboJIGOQr5DvciMRI494OapieI9qiODpOt0XBr1LjIDy1xAGAnVs5supTA==",
"dev": true,
"license": "Apache-2.0",
"engines": {
"node": ">=14"
}
},
"node_modules/@protobufjs/aspromise": {
"version": "1.1.2",
"resolved": "https://registry.npmjs.org/@protobufjs/aspromise/-/aspromise-1.1.2.tgz",
+2 -4
View File
@@ -11,7 +11,7 @@
"ann"
],
"private": false,
"version": "0.32.0-beta.2",
"version": "0.30.0-beta.1",
"main": "dist/index.js",
"exports": {
".": "./dist/index.js",
@@ -43,8 +43,7 @@
"@aws-sdk/client-s3": "3.1003.0",
"@biomejs/biome": "^1.7.3",
"@jest/globals": "^29.7.0",
"@napi-rs/cli": "3.7.0",
"@opentelemetry/sdk-metrics": "^1.30.0",
"@napi-rs/cli": "3.5.1",
"@types/axios": "^0.14.0",
"@types/jest": "^29.1.2",
"@types/node": "22.7.4",
@@ -93,7 +92,6 @@
"version": "napi version"
},
"dependencies": {
"@opentelemetry/api": "^1.9.0",
"reflect-metadata": "^0.2.2"
},
"optionalDependencies": {
+5 -58
View File
@@ -8,9 +8,6 @@ importers:
.:
dependencies:
'@opentelemetry/api':
specifier: ^1.9.0
version: 1.9.1
apache-arrow:
specifier: '>=15.0.0 <=18.1.0'
version: 18.1.0
@@ -34,11 +31,8 @@ importers:
specifier: ^29.7.0
version: 29.7.0
'@napi-rs/cli':
specifier: 3.7.0
version: 3.7.0(@emnapi/core@1.10.0)(@emnapi/runtime@1.10.0)(@types/node@22.7.4)
'@opentelemetry/sdk-metrics':
specifier: ^1.30.0
version: 1.30.1(@opentelemetry/api@1.9.1)
specifier: 3.5.1
version: 3.5.1(@emnapi/core@1.10.0)(@emnapi/runtime@1.10.0)(@types/node@22.7.4)
'@types/axios':
specifier: ^0.14.0
version: 0.14.4
@@ -893,8 +887,8 @@ packages:
'@jridgewell/trace-mapping@0.3.31':
resolution: {integrity: sha512-zzNR+SdQSDJzc8joaeP8QQoCQr8NuYx2dIIytl1QeBEZHJ9uW6hebsrYgbz8hJwUQao3TWCMtmfV8Nu1twOLAw==}
'@napi-rs/cli@3.7.0':
resolution: {integrity: sha512-3d3+rmxlOIV/G1zPWeX4PCxuYnhcCQM2BvY9rtimC8RO0dFR9gtYP+Grov+WoduZtfWRj5N1XvytWeRxxCk5zw==}
'@napi-rs/cli@3.5.1':
resolution: {integrity: sha512-XBfLQRDcB3qhu6bazdMJsecWW55kR85l5/k0af9BIBELXQSsCFU0fzug7PX8eQp6vVdm7W/U3z6uP5WmITB2Gw==}
engines: {node: '>= 16'}
hasBin: true
peerDependencies:
@@ -1313,32 +1307,6 @@ packages:
'@octokit/types@16.0.0':
resolution: {integrity: sha512-sKq+9r1Mm4efXW1FCk7hFSeJo4QKreL/tTbR0rz/qx/r1Oa2VV83LTA/H/MuCOX7uCIJmQVRKBcbmWoySjAnSg==}
'@opentelemetry/api@1.9.1':
resolution: {integrity: sha512-gLyJlPHPZYdAk1JENA9LeHejZe1Ti77/pTeFm/nMXmQH/HFZlcS/O2XJB+L8fkbrNSqhdtlvjBVjxwUYanNH5Q==}
engines: {node: '>=8.0.0'}
'@opentelemetry/core@1.30.1':
resolution: {integrity: sha512-OOCM2C/QIURhJMuKaekP3TRBxBKxG/TWWA0TL2J6nXUtDnuCtccy49LUJF8xPFXMX+0LMcxFpCo8M9cGY1W6rQ==}
engines: {node: '>=14'}
peerDependencies:
'@opentelemetry/api': '>=1.0.0 <1.10.0'
'@opentelemetry/resources@1.30.1':
resolution: {integrity: sha512-5UxZqiAgLYGFjS4s9qm5mBVo433u+dSPUFWVWXmLAD4wB65oMCoXaJP1KJa9DIYYMeHu3z4BZcStG3LC593cWA==}
engines: {node: '>=14'}
peerDependencies:
'@opentelemetry/api': '>=1.0.0 <1.10.0'
'@opentelemetry/sdk-metrics@1.30.1':
resolution: {integrity: sha512-q9zcZ0Okl8jRgmy7eNW3Ku1XSgg3sDLa5evHZpCwjspw7E8Is4K/haRPDJrBcX3YSn/Y7gUvFnByNYEKQNbNog==}
engines: {node: '>=14'}
peerDependencies:
'@opentelemetry/api': '>=1.3.0 <1.10.0'
'@opentelemetry/semantic-conventions@1.28.0':
resolution: {integrity: sha512-lp4qAiMTD4sNWW4DbKLBkfiMZ4jbAboJIGOQr5DvciMRI494OapieI9qiODpOt0XBr1LjIDy1xAGAnVs5supTA==}
engines: {node: '>=14'}
'@protobufjs/aspromise@1.1.2':
resolution: {integrity: sha512-j+gKExEuLmKwvz3OgROXtrJ2UG2x8Ch2YZUxahh+s1F2HZ+wAceUNLkvy6zKCPVRkU++ZWQrdxsUeQXmcg4uoQ==}
@@ -4614,7 +4582,7 @@ snapshots:
'@jridgewell/resolve-uri': 3.1.2
'@jridgewell/sourcemap-codec': 1.5.5
'@napi-rs/cli@3.7.0(@emnapi/core@1.10.0)(@emnapi/runtime@1.10.0)(@types/node@22.7.4)':
'@napi-rs/cli@3.5.1(@emnapi/core@1.10.0)(@emnapi/runtime@1.10.0)(@types/node@22.7.4)':
dependencies:
'@inquirer/prompts': 8.4.3(@types/node@22.7.4)
'@napi-rs/cross-toolchain': 1.0.3(@emnapi/core@1.10.0)(@emnapi/runtime@1.10.0)
@@ -4957,27 +4925,6 @@ snapshots:
dependencies:
'@octokit/openapi-types': 27.0.0
'@opentelemetry/api@1.9.1': {}
'@opentelemetry/core@1.30.1(@opentelemetry/api@1.9.1)':
dependencies:
'@opentelemetry/api': 1.9.1
'@opentelemetry/semantic-conventions': 1.28.0
'@opentelemetry/resources@1.30.1(@opentelemetry/api@1.9.1)':
dependencies:
'@opentelemetry/api': 1.9.1
'@opentelemetry/core': 1.30.1(@opentelemetry/api@1.9.1)
'@opentelemetry/semantic-conventions': 1.28.0
'@opentelemetry/sdk-metrics@1.30.1(@opentelemetry/api@1.9.1)':
dependencies:
'@opentelemetry/api': 1.9.1
'@opentelemetry/core': 1.30.1(@opentelemetry/api@1.9.1)
'@opentelemetry/resources': 1.30.1(@opentelemetry/api@1.9.1)
'@opentelemetry/semantic-conventions@1.28.0': {}
'@protobufjs/aspromise@1.1.2':
optional: true
-6
View File
@@ -112,12 +112,6 @@ impl Connection {
builder = builder.client_config(rust_config);
if let Some(oauth_config) = options.oauth_config {
let config: lancedb::remote::oauth::OAuthConfig =
oauth_config.try_into().default_error()?;
builder = builder.oauth_config(config);
}
if let Some(api_key) = options.api_key {
builder = builder.api_key(&api_key);
}
+1 -70
View File
@@ -4,16 +4,13 @@
use std::sync::Mutex;
use lancedb::index::Index as LanceDbIndex;
use lancedb::index::scalar::{BTreeIndexBuilder, FmIndexBuilder, FtsIndexBuilder};
use lancedb::index::scalar::{BTreeIndexBuilder, FtsIndexBuilder};
use lancedb::index::vector::{
IvfFlatIndexBuilder, IvfHnswPqIndexBuilder, IvfHnswSqIndexBuilder, IvfPqIndexBuilder,
IvfRqIndexBuilder,
};
use lancedb::tokenize as lancedb_tokenize;
use napi_derive::napi;
use crate::error::NapiErrorExt;
use crate::table::FtsToken;
use crate::util::parse_distance_type;
#[napi]
@@ -33,65 +30,6 @@ impl Index {
}
}
#[napi(catch_unwind)]
#[allow(dead_code, clippy::too_many_arguments)]
pub fn tokenize(
query: String,
base_tokenizer: Option<String>,
language: Option<String>,
max_token_length: Option<u32>,
lower_case: Option<bool>,
stem: Option<bool>,
remove_stop_words: Option<bool>,
ascii_folding: Option<bool>,
ngram_min_length: Option<u32>,
ngram_max_length: Option<u32>,
prefix_only: Option<bool>,
) -> napi::Result<Vec<FtsToken>> {
let mut opts = FtsIndexBuilder::default();
if let Some(base_tokenizer) = base_tokenizer {
opts = opts.base_tokenizer(base_tokenizer);
}
if let Some(language) = language {
opts = opts.language(&language).map_err(|_| {
napi::Error::from_reason(format!(
"LanceDB does not support the requested language: '{}'",
language
))
})?;
}
if let Some(max_token_length) = max_token_length {
opts = opts.max_token_length(Some(max_token_length as usize));
}
if let Some(lower_case) = lower_case {
opts = opts.lower_case(lower_case);
}
if let Some(stem) = stem {
opts = opts.stem(stem);
}
if let Some(remove_stop_words) = remove_stop_words {
opts = opts.remove_stop_words(remove_stop_words);
}
if let Some(ascii_folding) = ascii_folding {
opts = opts.ascii_folding(ascii_folding);
}
if let Some(ngram_min_length) = ngram_min_length {
opts = opts.ngram_min_length(ngram_min_length);
}
if let Some(ngram_max_length) = ngram_max_length {
opts = opts.ngram_max_length(ngram_max_length);
}
if let Some(prefix_only) = prefix_only {
opts = opts.ngram_prefix_only(prefix_only);
}
Ok(lancedb_tokenize(&query, &opts)
.default_error()?
.into_iter()
.map(FtsToken::from)
.collect())
}
#[napi]
impl Index {
#[napi(factory)]
@@ -205,13 +143,6 @@ impl Index {
}
}
#[napi(factory)]
pub fn fm() -> Self {
Self {
inner: Mutex::new(Some(LanceDbIndex::Fm(FmIndexBuilder::default()))),
}
}
#[napi(factory)]
#[allow(clippy::too_many_arguments)]
pub fn fts(
-6
View File
@@ -12,7 +12,6 @@ mod header;
mod index;
mod iterator;
pub mod merge;
pub mod otel;
pub mod permutation;
mod query;
pub mod remote;
@@ -66,11 +65,6 @@ pub struct ConnectionOptions {
/// (For LanceDB cloud only): the host to use for LanceDB cloud. Used
/// for testing purposes.
pub host_override: Option<String>,
/// (For LanceDB cloud only): OAuth configuration for IdP-based
/// authentication (e.g., Azure Entra ID). When set, token acquisition
/// and refresh are handled entirely in Rust. TypeScript users should pass
/// the public `OAuthConfig` type exported from `@lancedb/lancedb`.
pub oauth_config: Option<remote::OAuthConfig>,
}
#[napi(object)]
+6 -18
View File
@@ -3,7 +3,7 @@
use std::time::Duration;
use lancedb::{ipc::ipc_file_to_batches, table::merge::MergeInsertBuilder};
use lancedb::{arrow::IntoArrow, ipc::ipc_file_to_batches, table::merge::MergeInsertBuilder};
use napi::bindgen_prelude::*;
use napi_derive::napi;
@@ -50,25 +50,13 @@ impl NativeMergeInsertBuilder {
this
}
#[napi]
pub fn use_lsm_write(&self, use_lsm_write: bool) -> Self {
let mut this = self.clone();
this.inner.use_lsm_write(use_lsm_write);
this
}
#[napi]
pub fn validate_single_shard(&self, validate_single_shard: bool) -> Self {
let mut this = self.clone();
this.inner.validate_single_shard(validate_single_shard);
this
}
#[napi(catch_unwind)]
pub async fn execute(&self, buf: Buffer) -> napi::Result<MergeResult> {
let data = ipc_file_to_batches(buf.to_vec()).map_err(|e| {
napi::Error::from_reason(format!("Failed to read IPC file: {}", convert_error(&e)))
})?;
let data = ipc_file_to_batches(buf.to_vec())
.and_then(IntoArrow::into_arrow)
.map_err(|e| {
napi::Error::from_reason(format!("Failed to read IPC file: {}", convert_error(&e)))
})?;
let this = self.clone();
-119
View File
@@ -1,119 +0,0 @@
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
//! Node.js bindings over [`lancedb::metrics_otel`].
//!
//! The aggregation, catalog, and histogram bucketing all live in the LanceDB
//! core crate; this module only converts the core snapshot types into napi
//! objects and exposes the three entry points to JavaScript, where
//! `lancedb/otel.ts` bridges them into the user's OpenTelemetry `MeterProvider`.
use std::collections::HashMap;
use lancedb::metrics_otel::{MetricPoint as CoreMetricPoint, MetricValue};
use napi_derive::napi;
/// One cumulative histogram bucket: all samples with value `<= le`.
#[napi(object)]
pub struct MetricBucket {
/// The inclusive upper bound of the bucket, or `"+Inf"` for the final bucket.
pub le: String,
/// Cumulative number of samples less than or equal to `le`.
pub cumulative_count: f64,
}
/// One aggregated metric data point. For counters and gauges only `value` is
/// set; for histograms `buckets` (cumulative `le` counts), `count`, and `sum`
/// are set.
#[napi(object)]
pub struct MetricPoint {
pub name: String,
pub kind: String,
pub attributes: HashMap<String, String>,
pub value: Option<f64>,
pub buckets: Option<Vec<MetricBucket>>,
pub count: Option<f64>,
pub sum: Option<f64>,
}
impl From<CoreMetricPoint> for MetricPoint {
fn from(point: CoreMetricPoint) -> Self {
let kind = point.kind.as_str().to_string();
let (value, buckets, count, sum) = match point.value {
MetricValue::Scalar(v) => (Some(v), None, None, None),
MetricValue::Histogram {
buckets,
count,
sum,
} => (
None,
Some(
buckets
.into_iter()
// Counts stay well within the f64-exact integer range
// (2^53), so this cast is lossless in practice and keeps
// the values plain JS numbers for OpenTelemetry.
.map(|(le, cumulative_count)| MetricBucket {
le,
cumulative_count: cumulative_count as f64,
})
.collect(),
),
Some(count as f64),
Some(sum),
),
};
Self {
name: point.name,
kind,
attributes: point.attributes,
value,
buckets,
count,
sum,
}
}
}
/// A described metric, used by the JavaScript layer to create instruments up front.
#[napi(object)]
pub struct MetricDescription {
pub name: String,
pub kind: String,
pub unit: Option<String>,
pub description: String,
}
/// Install the LanceDB metrics recorder as the process-global `metrics` recorder.
///
/// Returns `true` if the recorder is installed (now or previously). Returns
/// `false` if a *different* recorder is already installed — `metrics` allows
/// only one global recorder per process, so LanceDB cannot coexist with another.
#[napi]
pub fn register_lancedb_metrics_recorder() -> bool {
lancedb::metrics_otel::register_metrics_recorder()
}
/// The catalog of described LanceDB metrics. Empty until the recorder is installed.
#[napi]
pub fn lancedb_metrics_catalog() -> Vec<MetricDescription> {
lancedb::metrics_otel::metrics_catalog()
.into_iter()
.map(|desc| MetricDescription {
name: desc.name,
kind: desc.kind.as_str().to_string(),
unit: desc.unit,
description: desc.description,
})
.collect()
}
/// A point-in-time snapshot of every recorded metric. Empty until the recorder
/// is installed.
#[napi]
pub fn snapshot_lancedb_metrics() -> Vec<MetricPoint> {
lancedb::metrics_otel::snapshot_metrics()
.into_iter()
.map(MetricPoint::from)
.collect()
}
+1 -7
View File
@@ -16,7 +16,6 @@ pub struct SplitRandomOptions {
pub counts: Option<Vec<i64>>,
pub fixed: Option<i64>,
pub seed: Option<i64>,
pub clump_size: Option<i64>,
pub split_names: Option<Vec<String>>,
}
@@ -126,15 +125,10 @@ impl PermutationBuilder {
};
let seed = options.seed.map(|s| s as u64);
let clump_size = options.clump_size.map(|c| c as u64);
self.modify(|builder| {
builder.with_split_strategy(
SplitStrategy::Random {
seed,
sizes,
clump_size,
},
SplitStrategy::Random { seed, sizes },
options.split_names.clone(),
)
})
+21 -56
View File
@@ -19,7 +19,6 @@ use lancedb::index::scalar::{
BooleanQuery, BoostQuery, FtsQuery, FullTextSearchQuery, MatchQuery, MultiMatchQuery, Occur,
Operator, PhraseQuery,
};
use lancedb::query::AnalyzePlanDistributedMetrics;
use lancedb::query::ExecutableQuery;
use lancedb::query::Query as LanceDbQuery;
use lancedb::query::QueryBase;
@@ -48,28 +47,6 @@ impl From<ColumnOrdering> for LanceDbColumnOrdering {
}
}
fn analyze_plan_options(
distributed_metrics: Option<String>,
) -> napi::Result<QueryExecutionOptions> {
let analyze_plan_distributed_metrics =
match distributed_metrics.as_deref().unwrap_or("aggregate") {
"aggregate" => AnalyzePlanDistributedMetrics::Aggregate,
"per_worker" => AnalyzePlanDistributedMetrics::PerWorker,
"full" => AnalyzePlanDistributedMetrics::Full,
mode => {
return Err(napi::Error::from_reason(format!(
"Invalid distributedMetrics value '{}'. Expected one of: \
'aggregate', 'per_worker', 'full'",
mode
)));
}
};
let mut options = QueryExecutionOptions::default();
options.analyze_plan_distributed_metrics = analyze_plan_distributed_metrics;
Ok(options)
}
fn bytes_to_arrow_array(data: Uint8Array, dtype: String) -> napi::Result<Arc<dyn Array>> {
let buf = arrow_buffer::Buffer::from(data.to_vec());
let num_bytes = buf.len();
@@ -223,17 +200,13 @@ impl Query {
}
#[napi(catch_unwind)]
pub async fn analyze_plan(&self, distributed_metrics: Option<String>) -> napi::Result<String> {
let options = analyze_plan_options(distributed_metrics)?;
self.inner
.analyze_plan_with_options(options)
.await
.map_err(|e| {
napi::Error::from_reason(format!(
"Failed to execute analyze plan: {}",
convert_error(&e)
))
})
pub async fn analyze_plan(&self) -> napi::Result<String> {
self.inner.analyze_plan().await.map_err(|e| {
napi::Error::from_reason(format!(
"Failed to execute analyze plan: {}",
convert_error(&e)
))
})
}
}
@@ -439,17 +412,13 @@ impl VectorQuery {
}
#[napi(catch_unwind)]
pub async fn analyze_plan(&self, distributed_metrics: Option<String>) -> napi::Result<String> {
let options = analyze_plan_options(distributed_metrics)?;
self.inner
.analyze_plan_with_options(options)
.await
.map_err(|e| {
napi::Error::from_reason(format!(
"Failed to execute analyze plan: {}",
convert_error(&e)
))
})
pub async fn analyze_plan(&self) -> napi::Result<String> {
self.inner.analyze_plan().await.map_err(|e| {
napi::Error::from_reason(format!(
"Failed to execute analyze plan: {}",
convert_error(&e)
))
})
}
}
@@ -522,17 +491,13 @@ impl TakeQuery {
}
#[napi(catch_unwind)]
pub async fn analyze_plan(&self, distributed_metrics: Option<String>) -> napi::Result<String> {
let options = analyze_plan_options(distributed_metrics)?;
self.inner
.analyze_plan_with_options(options)
.await
.map_err(|e| {
napi::Error::from_reason(format!(
"Failed to execute analyze plan: {}",
convert_error(&e)
))
})
pub async fn analyze_plan(&self) -> napi::Result<String> {
self.inner.analyze_plan().await.map_err(|e| {
napi::Error::from_reason(format!(
"Failed to execute analyze plan: {}",
convert_error(&e)
))
})
}
}

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