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Author SHA1 Message Date
Jonathan M HsiehandClaude Opus 5 1f8a790004 feat(secrets): address Secrets by namespace path
A Secret is identified by a namespace path plus a name, and resolution is
exact: a Secret under `["prod"]` is not visible from `["prod", "vision"]` and
never falls back to a parent.

- Every verb takes `namespace_path` keyword-only, defaulting to the root, and
  so does `EnvVarSecret`. Keyword-only from the start, so a later parameter
  cannot be mistaken for the path.
- `EnvVarSecret` pins the path at construction and records the full id --
  path plus name, joined with `$`. A worker resolves the id it was handed and
  never re-resolves against its own default namespace, so the same Function
  resolves the same Secret wherever it runs.
- A root path is omitted from the request body rather than sent empty, so a
  root request is byte identical to one from a client that predates this. That
  is what lets the parameter ship before every server implements it -- a
  server that does not is asked nothing new.
- Segments follow the Secret name rule, and necessarily so: the join has to
  read the same from either side, so neither may contain the delimiter.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01XE1UwYKsgbb3USBfkqCE6v
2026-09-09 03:22:11 +00:00
Jonathan M HsiehandClaude Opus 5 7b29fb2f51 feat(secrets): named Secrets and EnvVarSecret bindings
Adds the client half of database-scoped named Secrets: a Secret is a name and
an opaque value stored by the service, and a Function binds one to the
environment variable its library already reads.

- `db.create_secret` / `alter_secret` / `list_secrets` / `describe_secret` /
  `drop_secret` on sync, async and remote connections, with the pyo3 binding
  and the Rust client behind them. There is no read API by construction rather
  than by policy: no code path returns a stored credential, and
  `describe_secret` answers with metadata only.
- `EnvVarSecret(secret=..., env_variable=...)` pairs a Secret with the variable
  it arrives in. It is a pure local constructor -- it contacts no server, so it
  cannot fail on a Secret that does not exist -- and it exists so a bare string
  in that position, which would be a credential, is a TypeError rather than a
  plausible-looking mistake that reads identically in a diff.
- `create_function(..., secrets=[...])` carries the bindings as
  `secret_bindings`, a map from variable name to Secret name. The value never
  travels: it is resolved by the service when the Function runs, which is what
  lets a rotation reach columns pinned to an older FunctionVersion.

The UDF body is unchanged and stays portable -- it reads `OPENAI_API_KEY` the
way it always did, and the binding is what puts a value there.

Squashed: the original three commits were a first design plus a rewrite of it,
so their sequence describes an interface that no longer exists.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01XE1UwYKsgbb3USBfkqCE6v
2026-09-09 00:12:57 +00:00
Lance Release 0111a72dc3 Bump version: 0.39.0-beta.3 → 0.39.0-beta.4 2026-09-06 20:46:55 +00:00
LanceDB RobotandJack Ye a487d4033e chore: update lance dependency to v12.0.0-beta.14 (#4141)
Update the Rust workspace Lance dependencies and Java lance-core from
v12.0.0-beta.11 to
[v12.0.0-beta.14](https://github.com/lance-format/lance/releases/tag/v12.0.0-beta.14),
refreshing Cargo.lock. Resolve two Clippy diagnostics by making an
internal Node.js helper private and using a byte string literal in a
remote-table test fixture.

Validation: `cargo clippy --quiet --workspace --tests --all-features --
-D warnings`, `cargo fmt --all --quiet`, `git diff --check`, and `pnpm
build` in nodejs.

---------

Co-authored-by: Jack Ye <yezhaoqin@gmail.com>
2026-09-06 13:43:35 -07:00
dependabot[bot] 02ea0dda9f build(deps-dev): bump the nodejs-deps group across 1 directory with 2 updates (#4134)
Bumps the nodejs-deps group with 2 updates in the /nodejs directory:
[@opentelemetry/sdk-metrics](https://github.com/open-telemetry/opentelemetry-js)
and [ts-jest](https://github.com/kulshekhar/ts-jest).

Updates `@opentelemetry/sdk-metrics` from 2.10.0 to 2.11.0
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/open-telemetry/opentelemetry-js/releases">@​opentelemetry/sdk-metrics's
releases</a>.</em></p>
<blockquote>
<h2>v2.11.0</h2>
<h2>2.11.0</h2>
<h3>🚀 Features</h3>
<ul>
<li>feat(context-async-hooks): implement <code>attach()</code> on
<code>AsyncLocalStorageContextManager</code> <a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/pull/6845">#6845</a>
<a href="https://github.com/pichlermarc"><code>@​pichlermarc</code></a>
<ul>
<li>On Node.js 25.9+, delegates to
<code>AsyncLocalStorage.withScope()</code> returning a native
<code>RunScope</code>. On older Node.js, falls back to
<code>enterWith()</code> with a manual disposable wrapper.</li>
</ul>
</li>
<li>feat(sdk-trace): allow configuring the force flush timeout per call
<a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/issues/6929">#6929</a>
<a
href="https://github.com/LarryHu0217"><code>@​LarryHu0217</code></a></li>
</ul>
<h3>🐛 Bug Fixes</h3>
<ul>
<li>fix(sdk-metrics): ignore <code>Infinity</code> in exponential
histograms <a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/pull/7015">#7015</a>
<a href="https://github.com/mwear"><code>@​mwear</code></a></li>
</ul>
<h3>🏠 Internal</h3>
<ul>
<li>perf(sdk-metrics): reuse a single DataView for exponential histogram
bit reads <a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/pull/6998">#6998</a>
<a href="https://github.com/mwear"><code>@​mwear</code></a></li>
<li>chore(ci): run documentation tests on a weekly schedule <a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/pull/6920">#6920</a>
<a
href="https://github.com/LarryHu0217"><code>@​LarryHu0217</code></a></li>
<li>feat(ci): support pre-releases and major version bumps in the
release workflow <a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/issues/6768">#6768</a>
<a
href="https://github.com/pichlermarc"><code>@​pichlermarc</code></a></li>
<li>chore(resources): Ensure that multiple uses of
serviceInstanceIdDetector.detect() return the <em>same</em> value for
<code>service.instance.id</code></li>
</ul>
</blockquote>
</details>
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/open-telemetry/opentelemetry-js/blob/main/CHANGELOG.md">@​opentelemetry/sdk-metrics's
changelog</a>.</em></p>
<blockquote>
<h2>2.11.0</h2>
<h3>🚀 Features</h3>
<ul>
<li>feat(context-async-hooks): implement <code>attach()</code> on
<code>AsyncLocalStorageContextManager</code> <a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/pull/6845">#6845</a>
<a href="https://github.com/pichlermarc"><code>@​pichlermarc</code></a>
<ul>
<li>On Node.js 25.9+, delegates to
<code>AsyncLocalStorage.withScope()</code> returning a native
<code>RunScope</code>. On older Node.js, falls back to
<code>enterWith()</code> with a manual disposable wrapper.</li>
</ul>
</li>
<li>feat(sdk-trace): allow configuring the force flush timeout per call
<a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/issues/6929">#6929</a>
<a
href="https://github.com/LarryHu0217"><code>@​LarryHu0217</code></a></li>
</ul>
<h3>🐛 Bug Fixes</h3>
<ul>
<li>fix(sdk-trace-base): avoid a Webpack self-reference error in
CommonJS output <a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/issues/6981">#6981</a>
<a href="https://github.com/sansynx"><code>@​sansynx</code></a></li>
<li>fix(sdk-metrics): ignore <code>Infinity</code> in exponential
histograms <a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/pull/7015">#7015</a>
<a href="https://github.com/mwear"><code>@​mwear</code></a></li>
</ul>
<h3>🏠 Internal</h3>
<ul>
<li>perf(sdk-metrics): reuse a single DataView for exponential histogram
bit reads <a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/pull/6998">#6998</a>
<a href="https://github.com/mwear"><code>@​mwear</code></a></li>
<li>chore(ci): run documentation tests on a weekly schedule <a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/pull/6920">#6920</a>
<a
href="https://github.com/LarryHu0217"><code>@​LarryHu0217</code></a></li>
<li>feat(ci): support pre-releases and major version bumps in the
release workflow <a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/issues/6768">#6768</a>
<a
href="https://github.com/pichlermarc"><code>@​pichlermarc</code></a></li>
<li>chore(resources): Ensure that multiple uses of
serviceInstanceIdDetector.detect() return the <em>same</em> value for
<code>service.instance.id</code></li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/open-telemetry/opentelemetry-js/commit/0b72a81636fa476e8f1f1afd2ae0c90a1362194c"><code>0b72a81</code></a>
chore: prepare next release (<a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/issues/7044">#7044</a>)</li>
<li><a
href="https://github.com/open-telemetry/opentelemetry-js/commit/a9c5338a9f485f1433df9308f24bd7397a4a0321"><code>a9c5338</code></a>
ci: roll prerelease changelog into one final release changelog (<a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/issues/7045">#7045</a>)</li>
<li><a
href="https://github.com/open-telemetry/opentelemetry-js/commit/f41805e769ba10fb6dae72a4b7a5a3dc67cca82e"><code>f41805e</code></a>
chore: prepare next release (<a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/issues/7042">#7042</a>)</li>
<li><a
href="https://github.com/open-telemetry/opentelemetry-js/commit/b85eb28343ff6234e2bb4d46b7b4a3d360e5ea2f"><code>b85eb28</code></a>
chore(instrumentation-http): fix lint errors (<a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/issues/7039">#7039</a>)</li>
<li><a
href="https://github.com/open-telemetry/opentelemetry-js/commit/3f9253009be2ae48419432e79a597ead7be8be6a"><code>3f92530</code></a>
ci: support pre-releases and major version bumps in release workflow (<a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/issues/7035">#7035</a>)</li>
<li><a
href="https://github.com/open-telemetry/opentelemetry-js/commit/82a58316a63b6fde62afd268e145b82222d328cf"><code>82a5831</code></a>
docs(otlp-exporter-base): document HTTP exporter options (<a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/issues/6735">#6735</a>)</li>
<li><a
href="https://github.com/open-telemetry/opentelemetry-js/commit/e086dec7f9304107ef6d50b5877be88895c06aa7"><code>e086dec</code></a>
Merge commit from fork</li>
<li><a
href="https://github.com/open-telemetry/opentelemetry-js/commit/59dac70d00d46fa56b2b921cf721fd922730f23d"><code>59dac70</code></a>
chore(deps): update jamesives/github-pages-deploy-action action to
v4.9.0 (<a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/issues/7">#7</a>...</li>
<li><a
href="https://github.com/open-telemetry/opentelemetry-js/commit/d0ce7532b058631ec9eec111c04fefe7fd873e1f"><code>d0ce753</code></a>
chore: add <a
href="https://github.com/maryliag"><code>@​maryliag</code></a> to
maintainers (<a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/issues/7024">#7024</a>)</li>
<li><a
href="https://github.com/open-telemetry/opentelemetry-js/commit/03469a129f97265c8eec93d566e9e00d4f741db3"><code>03469a1</code></a>
chore(deps): update open-telemetry/shared-workflows action to v0.10.0
(<a
href="https://redirect.github.com/open-telemetry/opentelemetry-js/issues/7032">#7032</a>)</li>
<li>Additional commits viewable in <a
href="https://github.com/open-telemetry/opentelemetry-js/compare/v2.10.0...v2.11.0">compare
view</a></li>
</ul>
</details>
<br />

Updates `ts-jest` from 29.4.9 to 29.4.12
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/kulshekhar/ts-jest/releases">ts-jest's
releases</a>.</em></p>
<blockquote>
<h2>v29.4.12</h2>
<p>Please refer to <a
href="https://github.com/kulshekhar/ts-jest/blob/main/CHANGELOG.md">CHANGELOG.md</a>
for details.</p>
<h2>v29.4.11</h2>
<p>Please refer to <a
href="https://github.com/kulshekhar/ts-jest/blob/main/CHANGELOG.md">CHANGELOG.md</a>
for details.</p>
<h2>v29.4.10</h2>
<p>Please refer to <a
href="https://github.com/kulshekhar/ts-jest/blob/main/CHANGELOG.md">CHANGELOG.md</a>
for details.</p>
</blockquote>
</details>
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/kulshekhar/ts-jest/blob/main/CHANGELOG.md">ts-jest's
changelog</a>.</em></p>
<blockquote>
<h2><a
href="https://github.com/kulshekhar/ts-jest/compare/v29.4.11...v29.4.12">29.4.12</a>
(2026-07-22)</h2>
<h3>Features</h3>
<ul>
<li><strong>compiler:</strong> support TypeScript 7 projects through
compatibility aliases (<a
href="https://redirect.github.com/kulshekhar/ts-jest/pull/5386">#5386</a>)</li>
</ul>
<h2><a
href="https://github.com/kulshekhar/ts-jest/compare/v29.4.10...v29.4.11">29.4.11</a>
(2026-05-21)</h2>
<h3>Bug Fixes</h3>
<ul>
<li>preserve Bundler on the CJS path under TypeScript &gt;= 6 (<a
href="https://github.com/kulshekhar/ts-jest/commit/39418187515f11b6584d35a4e3ddf50231f74936">3941818</a>),
closes <a
href="https://redirect.github.com/kulshekhar/ts-jest/issues/4198">#4198</a></li>
</ul>
<h2><a
href="https://github.com/kulshekhar/ts-jest/compare/v29.4.9...v29.4.10">29.4.10</a>
(2026-05-18)</h2>
<h3>Bug Fixes</h3>
<ul>
<li>pass <code>resolutionMode</code> to
<code>ts.resolveModuleName</code> for hybrid module support (<a
href="https://github.com/kulshekhar/ts-jest/commit/b557a85f85c3fd34523ec3a15293afbdc9dea83c">b557a85</a>)</li>
<li>rebuild <code>Program</code> when consecutive compiles need
different module kinds (<a
href="https://github.com/kulshekhar/ts-jest/commit/a82a2b32c4987a5249fd5284283117dd2fa3be47">a82a2b3</a>),
closes <a
href="https://redirect.github.com/kulshekhar/ts-jest/issues/4774">#4774</a></li>
<li>respect tsconfig <code>moduleResolution</code> instead of forcing
<code>Node10</code> (<a
href="https://github.com/kulshekhar/ts-jest/commit/1bffffc667557c173ae0c1f93dd436920775dac4">1bffffc</a>)</li>
<li><strong>transformer:</strong> transpile <code>mjs</code> files from
<code>node_modules</code> for CJS mode (<a
href="https://github.com/kulshekhar/ts-jest/commit/96d025dd912ea2bceb18b67d2d509ada7a756d9d">96d025d</a>)</li>
<li><strong>transformer:</strong> use a consistent comparator in
hoist-jest sortStatements (<a
href="https://github.com/kulshekhar/ts-jest/commit/8a8fd2fb8446655bba18367db9306a1089490e62">8a8fd2f</a>)</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/kulshekhar/ts-jest/commit/3f05625da10da954fdf0a10394385008275ddbb3"><code>3f05625</code></a>
chore(release): 29.4.12</li>
<li><a
href="https://github.com/kulshekhar/ts-jest/commit/df28b27f2e60edf275866763a3cdf745360d3eae"><code>df28b27</code></a>
docs: clarify TypeScript version prerequisites</li>
<li><a
href="https://github.com/kulshekhar/ts-jest/commit/c8a614af419b1dcc90f3d1a7a48238ac1b637e6b"><code>c8a614a</code></a>
docs: mention TypeScript 7 setup in README</li>
<li><a
href="https://github.com/kulshekhar/ts-jest/commit/06c79d4cebfa785749b2f96ef2dbeffc12798c47"><code>06c79d4</code></a>
fix: address TypeScript 7 review feedback</li>
<li><a
href="https://github.com/kulshekhar/ts-jest/commit/f10746008e512203ad7d8c581e2c58cc7dcd43c8"><code>f107460</code></a>
docs: explain TypeScript 7 compatibility setup</li>
<li><a
href="https://github.com/kulshekhar/ts-jest/commit/33882274c1e4fc3a06cece3b21f4873182c8fee7"><code>3388227</code></a>
test(e2e): add TypeScript compatibility matrix</li>
<li><a
href="https://github.com/kulshekhar/ts-jest/commit/891dc731ff9f31785ad9698e4d7cfa6078991fe6"><code>891dc73</code></a>
fix(compiler): support TypeScript 7 compatibility aliases</li>
<li><a
href="https://github.com/kulshekhar/ts-jest/commit/eb135ebe819991b1e10c998915cc6db2057c4de1"><code>eb135eb</code></a>
build(deps-dev): bump shell-quote from 1.8.4 to 1.10.0 in /examples</li>
<li><a
href="https://github.com/kulshekhar/ts-jest/commit/d5d80a34bc575be130db2b9f5cd0958173982cda"><code>d5d80a3</code></a>
ci: pin google osv scan action at v2.3.5</li>
<li><a
href="https://github.com/kulshekhar/ts-jest/commit/6bf293f0a4ddf468735d81fcdf04f923278e030c"><code>6bf293f</code></a>
build(deps): bump shell-quote from 1.8.4 to 1.10.0 in /website</li>
<li>Additional commits viewable in <a
href="https://github.com/kulshekhar/ts-jest/compare/v29.4.9...v29.4.12">compare
view</a></li>
</ul>
</details>
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2026-09-06 09:41:24 -07:00
Lance Release c7980dbc40 Bump version: 0.39.0-beta.2 → 0.39.0-beta.3 2026-09-06 08:59:56 +00:00
Jack Ye 1b0f9329ea fix: compare Function output list children by type only (#4137)
A table whose Function output type contains a list cannot be appended
to. That is every embedding column.

`add()` re-validates the table's own schema against its bindings before
it looks at the incoming data, so the failure does not depend on what
you are writing:

```
ValueError: Invalid input, Function output 'udf_text_embedding_384'
            type no longer matches binding 'fb_...'
```

The check required a list child to be identical to the declaration.
Lance rewrites a list item's name and nullability when it writes, so a
declared `fixed_size_list<item: float not null>` is stored as
`fixed_size_list<item: float>` and never matches again.

The server already draws this distinction —
`job_executor::function_arrow_type::equivalent` compares list children
by type and struct children by identity — which is why declaring the
column succeeded in the first place. This brings the client's copy of
the check into line so the two agree on what a valid Function column
looks like.

Struct children still compare by name and nullability, and the list
length is still part of the declaration.
2026-09-06 01:58:40 -07:00
Lance Release e5cc7a4d66 Bump version: 0.39.0-beta.1 → 0.39.0-beta.2 2026-09-05 23:26:00 +00:00
Jack Ye 21f11b4463 feat!: replace get_job/job_history with describe_job/query_job_events (#4130)
A 1M-row column refresh over 200 fragments produced no visible result,
and the client could only ever say `"running"`. Everything needed to
diagnose it already existed server-side — the job registry records a
`claim`/`claim_complete` pair per fragment carrying `rows_processed` —
but none of it was reachable.

## Before

Four ways to ask about a job, none of which told you much.

```python
job = table.refresh_column_async("embedding")
job.status()               # "running". That was the entire debug surface.
db.get_job(job_id)         # state, and a spec. No result, no progress.
db.job_history(job_id)     # raw record batches, no limit, no filter
db.job(job_id)             # a handle that knew nothing
```

## After

Open a job the way you open a table; the handle answers everything.

```python
job = db.open_job(job_id)      # raises JobNotFoundError if there is no such job
```

```python
>>> print(job)
Job(
    id='job-1',
    state='failed',
    job_type='refresh_column',
    creation_ms=1757000000000,
    spec={
        "column": "embedding",
        "num_workers": 4
    },
    failure=JobFailureInfo(phase='execute', message='worker died', retryable=True),
)
```

Individual fields are there too — `job.state`, `job.job_type`,
`job.creation_ms`, `job.spec`, `job.result`, `job.failure` — and
`job.result` carries `rows_assigned` / `rows_failed` as soon as the job
succeeds, with no `wait()` required.

Per-fragment progress *while it is still running*:

```python
done = job.events(filter="state = 'claim_complete'", limit=10_000)
done.column("rows_processed").to_pylist()      # [5000, 5000, ...]
```

The handle an async action returns is the same object, one `refresh()`
away:

```python
job = table.refresh_column_async("embedding")
job.refresh()
job.state, job.result
```

TypeScript is the same experience, down to `console.log`:

```ts
const job = await db.openJob(jobId);   // rejects if there is no such job
console.log(job);                      // same multi-line layout
job.state; job.jobType; job.spec; job.result; job.failure;
const done = await job.events({ filter: "state = 'claim_complete'", limit: 10_000 });
```

## Why each piece matters

- **A result without waiting.** `rows_assigned` / `rows_failed` used to
live only on the terminal result, so a job that never terminated
reported nothing at all.
- **`limit`.** The server caps event rows at 1000 and truncates without
saying so, which silently hid most of a 200-fragment job's history.
- **`filter`.** `claim_complete` rows carry per-claim `rows_processed` —
the only progress signal that exists mid-flight.
- **Events outlive the worker.** They live in the job registry, not in
pod logs that vanish with the pod.
- **One place to ask.** `open_job` replaces `describe_job`,
`query_job_events` and `job`, so a question about a job has one answer
instead of one per calling location.
- **A missing job is an error, not a `None`.** The common case is a job
id copied out of a log, where absence is the surprise worth raising —
and it matches `open_table`.
- **Printing is the debug surface.** Every field on its own line, JSON
payloads keeping their structure. An unrefreshed handle stays on one
line, because there is nothing to lay out.
- **In-process jobs say so.** A local refresh reports `state` and leaves
the rest null rather than inventing fields it has no record for.

`list_jobs` and `cancel_job` stay as they were: one lists, the other is
a one-shot action that should not need a describe first.

## Breaking

All shipped in 0.38.0. No deprecated aliases.

| Was | Now |
| --- | --- |
| `Connection.get_job` → `describe_job` | `Connection.open_job` returns
a populated `Job`, or raises |
| `Connection.job_history` → `query_job_events` | `job.events(...)` |
| `Connection.job` | `Connection.open_job` |
| Python events → `List[pa.RecordBatch]` | `pa.Table` |
| `JobDescription.spec_json` / `.result_json` | internal; use `job.spec`
/ `job.result` |

Node's `Job` is now a TypeScript class wrapping the native handle, so it
returns an Arrow table and parsed values like Python does. New
`Error::JobNotFound` / `JobNotFoundError`; the three job exceptions are
now in the Python API reference.
2026-09-05 16:24:23 -07:00
Drew 8c9c5c5a5f fix: stop enabling stable row ids on blob table create (#4126)
This PR stops blob table create from implicitly enabling stable row ids.
A blob schema still selects Lance file format 2.2, but row id behavior
stays with the table config.

Compact then fetch with a `_rowid` captured before compaction is still
not supported on a default table. That needs `take` to remap row
addresses through blob reuse rather than making stable row ids a
blob-table default.

BREAKING CHANGE: blob create no longer enables stable row ids. A blob
schemastill selects Lance file format 2.2. Fetch uses `_rowid` on HEAD.
Held ids survive compact only when the table has stable row ids.


## Testing

* `cargo fmt --all`
* `ruff format .`
* `ruff check .`
* `cargo clippy --quiet --features remote --tests --examples -p lancedb`
* `cargo test --quiet --features remote -p lancedb --test
blob_integration`
* `python/.venv/bin/pytest python/python/tests/test_blob.py -q`
2026-09-04 14:52:15 +08:00
Jack Ye aab23eb39e feat: support nullable named function outputs (#4123)
Supports fully nullable named Function outputs while preserving the
distinction between a valid all-null struct and a null/unassigned
result.

## Concrete example

This UDF contract is now valid:

```python
@udf(
    input_schema=pa.schema([
        pa.field("text", pa.string(), nullable=False),
    ]),
    output_schema=pa.schema([
        pa.field(
            "embedding",
            pa.list_(pa.float32(), list_size=1024),
            nullable=True,
        ),
        pa.field("embedding_failure_reason", pa.string(), nullable=True),
        pa.field("embedding_failure_code", pa.int32(), nullable=True),
    ]),
)
def embed(text):
    ...
```

A successful row can return:

```text
embedding = [0.12, ...]
embedding_failure_reason = NULL
embedding_failure_code = NULL
```

If remote inference still fails after retries, it can return:

```text
embedding = NULL
embedding_failure_reason = "HTTP 429: rate limited"
embedding_failure_code = 429
```

An all-null but valid result struct is also assigned; it is not mistaken
for unfinished work.

## Binding shapes

- Mapping the result to one output column stores the `StructArray`
directly, including its parent validity bitmap.
- Flattening the result into top-level columns stores the parent
validity in a reserved internal nullable Boolean assignment column that
is not part of the UDF result mapping.
- An outer null struct remains unassigned/skipped. A valid struct
remains assigned regardless of which child fields are null.
- Scalar Function outputs remain non-nullable.

The contract is preserved through Python registration, Rust application
planning, persisted `FunctionBinding` metadata, schema revalidation, and
Enterprise execution.
2026-09-03 22:23:53 -07:00
Jack Ye e639b1b650 feat: add asynchronous remote SQL queries (#4070)
## Summary

Add SQL execution to remote LanceDB connections. On the standard
synchronous connection, `execute_query` waits for the initial result
stream and returns its Arrow reader. `execute_query_async` is called
without Python `await` and immediately returns a query handle for status
inspection, streaming, or cancellation. Local databases report that SQL
is not supported.

The transport and query lifecycle live in Rust. Python exposes
native-backed synchronous and asynchronous connection methods and query
wrappers; it does not use PyArrow's Flight client.

## User experience

The standard synchronous connection supports both direct reads and
background query execution:

```python
db = lancedb.connect(
    "db://analytics",
    api_key="ldb_...",
    sql_host_override="grpc+tls://sql.example.com:10026",
)

# Direct execution waits only until the initial result stream is available.
# Later batches continue streaming as the query progresses.
reader = db.execute_query(
    "SELECT * FROM events",
    default_namespace_path=["production"],
)
for batch in reader:
    print(batch.num_rows)

# Background execution returns a query handle immediately. Despite the
# `_async` suffix, no Python `await` is needed on a synchronous connection.
query = db.execute_query_async("SELECT * FROM events")
print(query.id)

description = db.describe_query(query.id)
print(description.status)
print(description.progress)
print(description.expires_at)

# Start reading as soon as the service advertises partial results. The reader
# continues polling and yields newly available record batches until the query
# and all result endpoints are complete.
reader = query.reader()
for batch in reader:
    print(batch.num_rows)

# Or cancel a different still-running query. Its status becomes "cancelling"
# while the server is still working, then "cancelled" once confirmed.
cancelled_query = db.execute_query_async("SELECT * FROM large_events")
cancelled_query.cancel()
```

The less commonly used asynchronous connection exposes the same
operations as coroutines:

```python
async_db = await lancedb.connect_async(
    "db://analytics",
    api_key="ldb_...",
    sql_host_override="grpc+tls://sql.example.com:10026",
)
query = await async_db.execute_query_async("SELECT * FROM events")
async for batch in await query.reader():
    print(batch.num_rows)
```

The UUIDv7 query id is scoped to the connection that submitted it. The
connection retains lightweight shared query state used by
`query.describe()` and `db.describe_query(query.id)`; the id does not
encode SQL or a Flight continuation token and is not a cross-connection
resume token. Abandoned state has bounded retention, and terminal state
remains available briefly.

Unqualified table names use the connected database and the `public`
namespace by default. `default_namespace_path` accepts a list such as
`["production", "events"]`. SQL can still use qualified names to
reference other databases and namespaces available to the deployment.

## Design

- Uses Arrow Flight `PollFlightInfo` for submission and long polling,
`DoGet` for results, and `CancelFlightInfo` for cancellation. Each
`PollInfo.info` is treated as the cumulative set of currently available
endpoints, so advertised tickets are consumed once and batches can be
delivered before execution is complete.
- Serializes result completion and cancellation into one lifecycle. A
server-accepted request reports `cancelling` and wakes blocked
status/result work; a later retry can confirm `cancelled`. Result
retrieval is rejected after cancellation is accepted, while cancellation
after a result was already delivered is a no-op.
- Assigns a time-ordered UUIDv7 connection-scoped query id and retains
only shared evolving lifecycle state, keeping SQL, Flight continuation
tokens, and Arrow result data out of public ids and the registry.
- Leaves admission control to the server while honoring server
expiration and a local fallback retention window for abandoned entries.
- Retains terminal ids for five minutes so they remain available for
connection-level description.
- Keeps one lazily initialized SQL client on each remote database
connection and attaches fresh authentication, routing, namespace, and
request metadata to every operation.
- Applies the configured overall timeout to each execution, description,
reader, and cancellation operation. A result reader carries one absolute
deadline from `reader()` through the end of streaming; connect and read
timeouts continue to bound their individual phases.
- Returns a bounded, backpressured, single-consumer Arrow stream rather
than collecting the full result in memory. Dropping the reader stops
downloading but does not implicitly cancel the server query.
- Preserves typed schemas for empty result sets through the stream
schema.
- Accepts Flight result messages up to 1 GiB so a valid row containing a
large blob, string, or vector is not rejected by tonic's 4 MiB default
receive limit.
- Supports the Python client first while keeping the authoritative
implementation in the Rust core.
2026-09-03 14:59:14 -07:00
2779b75d0d fix(node): resolve remaining pnpm audit findings (#4073)
`pnpm audit` in `nodejs/` reported a number of vulnerable transitive
dependencies. Most were resolved by `pnpm audit --fix`, which bumped the
affected packages in the lockfile; the `minimumReleaseAgeExclude`
additions in `pnpm-workspace.yaml` are its bookkeeping, exempting the
specific patched versions from the repository's 24-hour hold on newly
published packages. Two findings needed handling by hand, because the
vulnerable package could not simply be moved to a newer release in
place.

`@opentelemetry/sdk-metrics` 1.30.1 pins `@opentelemetry/core` to its
own exact version, and the 1.x line is end-of-life, so
GHSA-8988-4f7v-96qf (unbounded memory allocation in W3C Baggage
propagation) has no fix available on 1.x. This PR moves the dependency
to 2.x, which brings in a patched `@opentelemetry/core`. It is a
dev-only dependency with a single consumer, `__test__/otel.test.ts`, and
the parts of the API that test uses are unchanged between 1.x and 2.x.

`@huggingface/transformers` pins `sharp: ^0.33.5`, and no released
version of transformers has moved past `^0.34.5` — every version in
those ranges inherits the libvips CVEs in GHSA-f88m-g3jw-g9cj, so there
is no upstream release to upgrade to. This PR adds a pnpm `overrides`
entry pinning sharp to the patched `^0.35.4` line instead.

`pnpm audit` now reports no known vulnerabilities.

## Not included

The sharp override only applies to this repository's own dependency
tree, since pnpm overrides are not published to npm. Anyone installing
`@lancedb/lancedb` together with the optional
`@huggingface/transformers` still resolves sharp 0.33.5, and will until
transformers itself moves to sharp 0.35. Practical exposure there is
low: the CVEs require decoding untrusted images, and LanceDB's
transformers embedding function is text-only.

`nodejs/examples/` is a separate install with its own lockfile and is
untouched here. It pins `sharp: "0.33.5"` directly and `pnpm audit`
reports 19 findings against it. Bumping sharp there is more involved
than it looks, because sharp 0.35 requires Node >= 20.9 while the
examples tests run on the Node 18/20 CI matrix, so it is left for
separate work.

---------

Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
Co-authored-by: Xuanwo <github@xuanwo.io>
2026-09-03 07:31:03 +08:00
lancedb-gatefixer[bot] 0d19a6c546 fix: support nested-list FTS indexing (#4059)
## Summary

- validate native FTS fields against the recursively resolved terminal
text leaf
- preserve canonical public paths and list depth for Lance
document-boundary handling
- cover async nested-list index creation and deepest-list `_doc_index`
search coordinates

## Root cause

The FTS resolver recursively found the terminal text field but returned
the outer list field. Native validation therefore rejected
`List(List(Utf8))` before Lance could create a list-element index.

## Validation

- `cargo test --quiet --features remote -p lancedb
test_nested_list_fts_uses_deepest_document_coordinates -- --nocapture`
- `cargo test --quiet --features remote -p lancedb
test_execute_async_validates_fts_input_before_starting_job`
- `cargo test --quiet --features remote -p lancedb
test_public_fts_field_path_prefers_exact_case`
- `cargo check --quiet --features remote --tests --examples`
- `cargo clippy --quiet --features remote --tests --examples`
- `cargo fmt --all -- --check`

Fixes #4058

<!-- lance-gatekeeper-fix:v1 agent=a4e48f49d12b2b6de7f10adb1c5bf5f5
generation=1 -->

Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com>
2026-09-02 17:51:21 +08:00
Lance Release c0f33f8627 Bump version: 0.39.0-beta.0 → 0.39.0-beta.1 2026-09-02 05:28:44 +00:00
LanceDB Robot 904bd975e5 chore: update lance dependency to v12.0.0-beta.11 (#4118)
Updates the Rust workspace Lance dependencies and Java lance-core
dependency to v12.0.0-beta.11.

No compatibility fixes were required. Trigger:
https://github.com/lance-format/lance/releases/tag/v12.0.0-beta.11
2026-09-01 22:27:12 -07:00
Will JonesandClaude Opus 5 d2ca0ce0ab feat: accept multiple on columns for merge insert on remote tables (#4102)
Merge insert has always taken a list of columns to match on, and local
tables have always joined on all of them. Remote tables did not: any
list longer than one was rejected with `MergeInsertBuilder only supports
a single 'on' column`, so a composite-key upsert was impossible against
LanceDB Cloud and Enterprise from Rust, Python or TypeScript.

The remote request now carries `on` as a list and sends it as one
repeated query parameter per column — `?on=shard_key&on=id`. That is how
the lance-namespace spec encodes an array-valued `on`, so the server
receives a composite key in the shape it expects. A single column still
serializes to `?on=id`, exactly what clients sent before, so existing
callers are unaffected. A column repeated within `on` is now rejected
client-side rather than sent for the server to reject with a 400.

No binding changes were needed: `Table.merge_insert` in Python and
`Table.mergeInsert` in TypeScript already accepted a list, it just could
not reach a remote table. Both gain a test for composite keys, and the
doc comments now say what passing several columns means.

Part of
[ENT-2084](https://linear.app/lancedb/issue/ENT-2084/mergeinsertintotablerequest-support-multiple-columns-for-the).

## Example

```python
table.merge_insert(["shard_key", "id"]) \
    .when_matched_update_all() \
    .when_not_matched_insert_all() \
    .execute(new_data)
```

A row whose `id` matches an existing row but whose `shard_key` differs
is an insert, not an update.

## Not included

Java. Java callers reach merge insert through
`org.lance.namespace.LanceNamespace`, whose
`MergeInsertIntoTableRequest.on` is a single string until
lance-namespace 0.12
([lance-namespace#363](https://github.com/lance-format/lance-namespace/pull/363),
[lance#8915](https://github.com/lance-format/lance/pull/8915)). There is
nothing in this repo's Java SDK to change until the `lance-core` pin can
move.

Sending more than one column requires a server that accepts the repeated
parameter ([sophon#7571](https://github.com/lancedb/sophon/pull/7571));
an older server returns a 400 rather than silently merging on one
column.

Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-01 16:32:04 -07:00
Bruno Ramirez 9a1ffb9e02 fix(remote): forward create index replace flag (#4115)
Remote create-index requests already expose `replace` on the builder,
but the remote client did not consistently forward an explicit
`replace=false` over REST. That meant create-only intent could be lost
before it reached a remote server, even though local builders and Python
APIs can express it. This PR forwards `replace=false` on the existing
`create_index` endpoint and keeps the current default behavior unchanged
for compatibility.

This was accomplished with the following changes:

- Serialize `replace: false` into the existing remote create-index
request body when the builder is configured with `.replace(false)`.
- Forward `replace` through the synchronous Python remote `create_index`
wrapper so `RemoteTable.create_index(..., replace=False)` reaches the
repaired path.
- Continue omitting `replace` for the default path so existing remote
create-index requests keep their current semantics.
- Document `name` and `replace` on the existing OpenAPI create-index
request schema.
- Add coverage that verifies the remote client uses the existing
`/create_index/` route and forwards `replace=false`, including the
synchronous Python unified API.

### Testing

- `cargo fmt --all --check`
- `cargo test -p lancedb --features remote
test_create_index_forwards_replace_false_on_existing_route --locked`
- `uv tool run maturin develop --extras tests,dev,embeddings`
- `uv run --frozen pytest
python/tests/test_remote_db.py::test_remote_create_index_new_api`
- `uv run ruff format --check python/lancedb/remote/table.py
python/tests/test_remote_db.py`
- `cargo build -p lancedb --features remote --locked`
- `cargo clippy -p lancedb --features remote --all-targets --locked --
-D warnings`
2026-09-01 11:54:53 -07:00
LanceDB Robot f2eb4a245d chore: update lance dependency to v12.0.0-beta.9 (#4116)
Updates Lance dependencies from v12.0.0-beta.5 to v12.0.0-beta.9 across
Rust and Java. No compatibility fixes were required; full workspace
Clippy passes with all features.

Lance tag:
https://github.com/lance-format/lance/releases/tag/v12.0.0-beta.9
2026-09-02 00:25:27 +08:00
Xuanwo e6867f7d04 feat: support nested blob function signatures (#4109)
Function signatures currently reject Blob v2 fields nested inside
structs, preventing UDFs from accepting or returning structured values
that contain blobs.

Accept canonical Blob v2 fields as direct or recursive struct children
while preserving exact field metadata and nullability. Blob fields under
list, large-list, fixed-size-list, or map ancestors remain rejected
because collection runtime adaptation is outside the supported Function
ABI.

A whole named struct result can bind directly to one destination column
without introducing an extra wrapper level.
2026-09-01 23:51:08 +08:00
Xuanwo 193c5e3458 feat: add list_functions client APIs (#4108)
Function registration and exact lookup are exposed through the SDK, but
clients cannot discover published versions even though the server
provides `POST /v1/functions/list`.

Add Rust and Python sync/async `list_functions()` APIs that return typed
`FunctionVersion` values. The remote client requests canonical
definitions and follows opaque page tokens until the listing is
complete, including empty intermediate pages, while preserving the
server's name/version ordering. Local databases retain the existing
Function-catalog unsupported error.

The SDK consumes protocol pagination internally so callers receive the
complete catalog rather than handling server-specific page tokens.
2026-09-01 23:50:57 +08:00
Lance Release 7ebd3c222d Bump version: 0.38.0 → 0.39.0-beta.0 2026-09-01 13:16:03 +00:00
Wyatt Alt d118ef168b feat: record the source namespace in a materialized view definition (#4098)
A view definition recorded its source by bare name and refresh resolved
that name at the root, so declaring a view over a namespaced source was
refused outright -- materialized views were root-only for every caller.

The definition now carries `source_namespace`, and refresh opens the
source at that coordinate. `plan` takes the namespace too: refresh
re-plans the stored definition and persists the result when it migrates,
so defaulting it there would strand the view on its next rebuild.

The stored kind is the version boundary. Root definitions keep the
`select` form byte-for-byte, so everything written before this change
reads exactly as it always did. A namespaced source is stored as
`namespaced_select`: released readers drop unknown fields and resolve a
`select` source at the root, so keeping the old kind would let a
rolled-back worker refresh a view from a same-name root table -- the new
kind routes them to their existing unrecognized-kind refusal instead.
The Python and Node definition parsers learn the new kind alongside the
Rust core.
2026-09-01 06:05:02 -07:00
lancedb-gatefixer[bot]andXuanwo 19232f9c50 fix: preserve duplicate take offsets (#4024)
## Summary
- preserve repeated table offsets without adding a public ordering
guarantee
- retain exact requested ordering in identity and persisted permutations
- cover local, projected, multi-batch, and mocked-remote query paths

## Root cause
Take queries lowered offsets to a set-like IN predicate and discarded
repeated occurrences. Persisted permutation loading also compared the
distinct base-table result count with the requested occurrence count,
rejecting repeated row IDs before its existing reordering step could
expand them.

## Fix
The shared take-query path now deduplicates the predicate for efficient
lookup, requests row-offset metadata internally, and expands each
matching row to the requested multiplicity in backend result order. An
internal opt-in keeps exact requested order for identity
PermutationReader reads, while persisted permutations continue using
their existing ordering map.

## Validation
- cargo test --quiet --features remote --tests
- cargo check --quiet --features remote --tests --examples
- cargo clippy --quiet --features remote --tests --examples
- targeted Python local and mocked-remote regression tests
- exact issue reproduction

Fixes #2820

<!-- lance-gatekeeper-fix:v1 agent=75acf840afa6f4be4bff98b567b504bd
generation=1 -->

---------

Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com>
Co-authored-by: Xuanwo <github@xuanwo.io>
2026-09-01 20:08:47 +08:00
Xuanwo 5cbd979455 fix: preserve namespace drop errors (#4099)
## Summary

- preserve typed namespace errors returned by `drop_table`
- return `TableNotFound` when dropping an absent namespace table
- cover repeated drop behavior in the namespace database test

## Validation

- `cargo test --quiet --features remote -p lancedb
database::namespace::tests::test_namespace_drop_table --lib`
- `cargo clippy --quiet --features remote -p lancedb --lib --tests -- -D
warnings`

## Context

Sophon SQL implements `DROP TABLE IF EXISTS` by matching
`lancedb::Error::TableNotFound`. The namespace database previously
wrapped this error as `Runtime`, causing cleanup to fail and mask an
earlier statement error.
2026-08-31 14:02:40 -07:00
e773d1e093 build(deps): bump the rust-minor-patch group across 1 directory with 9 updates (#4084)
Bumps the rust-minor-patch group with 9 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [async-trait](https://github.com/dtolnay/async-trait) | `0.1.91` |
`0.1.92` |
| [log](https://github.com/rust-lang/log) | `0.4.33` | `0.4.34` |
| [moka](https://github.com/moka-rs/moka) | `0.12.15` | `0.12.16` |
| [uuid](https://github.com/uuid-rs/uuid) | `1.24.0` | `1.26.0` |
| [serde_with](https://github.com/jonasbb/serde_with) | `3.21.0` |
`3.22.0` |
| [roaring](https://github.com/RoaringBitmap/roaring-rs) | `0.11.4` |
`0.11.5` |
| [napi](https://github.com/napi-rs/napi-rs) | `3.11.0` | `3.12.0` |
| [napi-derive](https://github.com/napi-rs/napi-rs) | `3.6.1` | `3.6.3`
|
| [napi-build](https://github.com/napi-rs/napi-rs) | `2.4.0` | `2.4.1` |


Updates `async-trait` from 0.1.91 to 0.1.92
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/dtolnay/async-trait/releases">async-trait's
releases</a>.</em></p>
<blockquote>
<h2>0.1.92</h2>
<ul>
<li>Resolve double_must_use clippy lint in generated code (<a
href="https://redirect.github.com/dtolnay/async-trait/issues/303">#303</a>)</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/dtolnay/async-trait/commit/82e7e9edd60f622294373a23c0ce9c0077ad0263"><code>82e7e9e</code></a>
Release 0.1.92</li>
<li><a
href="https://github.com/dtolnay/async-trait/commit/9a35cb87f9366cd992bbc00d430e1b5fe1aa0cdd"><code>9a35cb8</code></a>
Merge pull request <a
href="https://redirect.github.com/dtolnay/async-trait/issues/303">#303</a>
from dtolnay/mustuse</li>
<li><a
href="https://github.com/dtolnay/async-trait/commit/875ceecb100bab2cf369178633b4791336d92b75"><code>875ceec</code></a>
Resolve double_must_use clippy lint</li>
<li><a
href="https://github.com/dtolnay/async-trait/commit/62993a57bc6a8d5bd3de23fbae48cede333cb925"><code>62993a5</code></a>
Raise minimum tested compiler to rust 1.88</li>
<li>See full diff in <a
href="https://github.com/dtolnay/async-trait/compare/0.1.91...0.1.92">compare
view</a></li>
</ul>
</details>
<br />

Updates `log` from 0.4.33 to 0.4.34
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/rust-lang/log/releases">log's
releases</a>.</em></p>
<blockquote>
<h2>0.4.34</h2>
<h2>What's Changed</h2>
<ul>
<li>doc: Add context-logger utility to README by <a
href="https://github.com/alekseysidorov"><code>@​alekseysidorov</code></a>
in <a
href="https://redirect.github.com/rust-lang/log/pull/735">rust-lang/log#735</a></li>
<li>Add alloc support for boxed loggers by <a
href="https://github.com/malezjaa"><code>@​malezjaa</code></a> in <a
href="https://redirect.github.com/rust-lang/log/pull/737">rust-lang/log#737</a></li>
</ul>
<h2>New Contributors</h2>
<ul>
<li><a
href="https://github.com/alekseysidorov"><code>@​alekseysidorov</code></a>
made their first contribution in <a
href="https://redirect.github.com/rust-lang/log/pull/735">rust-lang/log#735</a></li>
<li><a href="https://github.com/malezjaa"><code>@​malezjaa</code></a>
made their first contribution in <a
href="https://redirect.github.com/rust-lang/log/pull/737">rust-lang/log#737</a></li>
</ul>
<p><strong>Full Changelog</strong>: <a
href="https://github.com/rust-lang/log/compare/0.4.33...0.4.34">https://github.com/rust-lang/log/compare/0.4.33...0.4.34</a></p>
</blockquote>
</details>
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/rust-lang/log/blob/master/CHANGELOG.md">log's
changelog</a>.</em></p>
<blockquote>
<h2>[0.4.34] - 2026-08-22</h2>
<h2>What's Changed</h2>
<ul>
<li>doc: Add context-logger utility to README by <a
href="https://github.com/alekseysidorov"><code>@​alekseysidorov</code></a>
in <a
href="https://redirect.github.com/rust-lang/log/pull/735">rust-lang/log#735</a></li>
<li>Add alloc support for boxed loggers by <a
href="https://github.com/malezjaa"><code>@​malezjaa</code></a> in <a
href="https://redirect.github.com/rust-lang/log/pull/737">rust-lang/log#737</a></li>
</ul>
<h2>New Contributors</h2>
<ul>
<li><a
href="https://github.com/alekseysidorov"><code>@​alekseysidorov</code></a>
made their first contribution in <a
href="https://redirect.github.com/rust-lang/log/pull/735">rust-lang/log#735</a></li>
<li><a href="https://github.com/malezjaa"><code>@​malezjaa</code></a>
made their first contribution in <a
href="https://redirect.github.com/rust-lang/log/pull/737">rust-lang/log#737</a></li>
</ul>
<p><strong>Full Changelog</strong>: <a
href="https://github.com/rust-lang/log/compare/0.4.33...0.4.34">https://github.com/rust-lang/log/compare/0.4.33...0.4.34</a></p>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/rust-lang/log/commit/8034743dd9d7f7583bd9a670271483d176130911"><code>8034743</code></a>
Merge pull request <a
href="https://redirect.github.com/rust-lang/log/issues/738">#738</a>
from rust-lang/cargo/0.4.34</li>
<li><a
href="https://github.com/rust-lang/log/commit/7d1e24e3506d4ffa1badf6c9ea357779877adaf0"><code>7d1e24e</code></a>
prepare for 0.4.34 release</li>
<li><a
href="https://github.com/rust-lang/log/commit/3b939b6714616dc32193c12019861c7c518c5edb"><code>3b939b6</code></a>
Merge pull request <a
href="https://redirect.github.com/rust-lang/log/issues/737">#737</a>
from malezjaa/master</li>
<li><a
href="https://github.com/rust-lang/log/commit/b88266cfed8b287f8c35b2015808b09b056f61af"><code>b88266c</code></a>
Add alloc support for boxed loggers</li>
<li><a
href="https://github.com/rust-lang/log/commit/037d7a58f6ad184abb3afc4db81d37c43a5696ec"><code>037d7a5</code></a>
doc: Add context-logger utility to README</li>
<li>See full diff in <a
href="https://github.com/rust-lang/log/compare/0.4.33...0.4.34">compare
view</a></li>
</ul>
</details>
<br />

Updates `moka` from 0.12.15 to 0.12.16
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/moka-rs/moka/releases">moka's
releases</a>.</em></p>
<blockquote>
<h2>v0.12.16</h2>
<h2>Version 0.12.16</h2>
<h3>Fixed</h3>
<ul>
<li>Fixed a bug where cache eviction could stall permanently when the
cache was configured with the <strong>non-default</strong> LRU eviction
policy (<code>EvictionPolicy::lru()</code>) by a race between insert and
remove operations on the same key (<a
href="https://redirect.github.com/moka-rs/moka/issues/592">#592</a><a
href="https://redirect.github.com/moka-rs/moka/pull/592/">gh-pull-0592</a>
by <a
href="https://github.com/kim-jhyeon"><code>@​kim-jhyeon</code></a>,
reported in <a
href="https://redirect.github.com/moka-rs/moka/issues/590">#590</a><a
href="https://redirect.github.com/moka-rs/moka/issues/590/">gh-issue-0590</a>):
<ul>
<li>This bug was introduced in v0.12.0 and affected
<code>sync::Cache</code>, <code>sync::SegmentedCache</code> and
<code>future::Cache</code>.</li>
<li>A race between applying a write recording for an entry and
concurrently removing that entry from the internal concurrent hash table
could leave an orphaned node at the front of the LRU queue. Once
present, no entry was ever evicted again and the cache grew unboundedly
past <code>max_capacity</code>.</li>
<li>The same race also affected the default TinyLFU eviction policy, but
with a milder symptom: each occurrence permanently leaked one phantom
entry slot, causing <code>entry_count</code> and
<code>weighted_size</code> to over-report and the usable capacity to
shrink by one entry per occurrence. Fixed by the same change.</li>
</ul>
</li>
</ul>
<h3>Changed</h3>
<ul>
<li>Worked around a ThreadSanitizer false positive (<a
href="https://redirect.github.com/moka-rs/moka/issues/602">#602</a><a
href="https://redirect.github.com/moka-rs/moka/pull/602/">gh-pull-0602</a>):
<ul>
<li>Replaced the standalone <code>fence(Acquire)</code> in the internal
<code>MiniArc</code>'s drop path with an <code>Acquire</code> load of
the reference count, so that downstream projects can now run
ThreadSanitizer on code using Moka without hitting this false
positive.</li>
<li><code>std::sync::Arc</code> has a similar workaround.</li>
</ul>
</li>
<li>Raised the minimum version of the <code>crossbeam-epoch</code> crate
from <code>v0.9.18</code> to <code>v0.9.20</code> to avoid the following
advisory (<a
href="https://redirect.github.com/moka-rs/moka/issues/603">#603</a><a
href="https://redirect.github.com/moka-rs/moka/pull/603/">gh-pull-0603</a>):
<ul>
<li>[RUSTSEC-2026-0204] crossbeam-epoch: invalid pointer dereference in
<code>fmt::Pointer</code> for <code>Atomic</code> and
<code>Shared</code></li>
<li>Moka is <em>not</em> affected by this advisory because it never
formats these pointer types. However, raising the minimum version
prevents downstream lockfiles from resolving to an affected
<code>crossbeam-epoch</code> version via Moka.</li>
</ul>
</li>
</ul>
</blockquote>
</details>
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/moka-rs/moka/blob/main/CHANGELOG.md">moka's
changelog</a>.</em></p>
<blockquote>
<h2>Version 0.12.16</h2>
<h3>Fixed</h3>
<ul>
<li>Fixed a bug where cache eviction could stall permanently when the
cache was
configured with the <strong>non-default</strong> LRU eviction policy
(<code>EvictionPolicy::lru()</code>)
by a race between insert and remove operations on the same key
(<a
href="https://redirect.github.com/moka-rs/moka/issues/592">#592</a>[gh-pull-0592]
by [<a
href="https://github.com/kim-jhyeon"><code>@​kim-jhyeon</code></a>][gh-kim-jhyeon],
reported in
<a
href="https://redirect.github.com/moka-rs/moka/issues/590">#590</a>[gh-issue-0590]):
<ul>
<li>This bug was introduced in v0.12.0 and affected
<code>sync::Cache</code>,
<code>sync::SegmentedCache</code> and <code>future::Cache</code>.</li>
<li>A race between applying a write recording for an entry and
concurrently
removing that entry from the internal concurrent hash table could leave
an
orphaned node at the front of the LRU queue. Once present, no entry was
ever
evicted again and the cache grew unboundedly past
<code>max_capacity</code>.</li>
<li>The same race also affected the default TinyLFU eviction policy, but
with
a milder symptom: each occurrence permanently leaked one phantom entry
slot, causing <code>entry_count</code> and <code>weighted_size</code> to
over-report and the
usable capacity to shrink by one entry per occurrence. Fixed by the same
change.</li>
</ul>
</li>
</ul>
<h3>Changed</h3>
<ul>
<li>Worked around a ThreadSanitizer false positive (<a
href="https://redirect.github.com/moka-rs/moka/issues/602">#602</a>[gh-pull-0602]):
<ul>
<li>Replaced the standalone <code>fence(Acquire)</code> in the internal
<code>MiniArc</code>'s drop
path with an <code>Acquire</code> load of the reference count, so that
downstream
projects can now run ThreadSanitizer on code using Moka without hitting
this false positive.</li>
<li><code>std::sync::Arc</code> has a similar workaround.</li>
</ul>
</li>
<li>Raised the minimum version of the <code>crossbeam-epoch</code> crate
from <code>v0.9.18</code> to
<code>v0.9.20</code> to avoid the following advisory (<a
href="https://redirect.github.com/moka-rs/moka/issues/603">#603</a>[gh-pull-0603]):
<ul>
<li>[RUSTSEC-2026-0204] crossbeam-epoch: invalid pointer dereference in
<code>fmt::Pointer</code> for <code>Atomic</code> and
<code>Shared</code></li>
<li>Moka is <em>not</em> affected by this advisory because it never
formats these
pointer types. However, raising the minimum version prevents downstream
lockfiles from resolving to an affected <code>crossbeam-epoch</code>
version via
Moka.</li>
</ul>
</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/moka-rs/moka/commit/a616ec19e8d4ed938caf8b2c88090331d778d5da"><code>a616ec1</code></a>
Merge pull request <a
href="https://redirect.github.com/moka-rs/moka/issues/604">#604</a> from
moka-rs/chore/bump-v0.12.16</li>
<li><a
href="https://github.com/moka-rs/moka/commit/3b140a627e9faa4ec6a8e682224c7f81efc2b6e4"><code>3b140a6</code></a>
Bump the version to v0.12.16</li>
<li><a
href="https://github.com/moka-rs/moka/commit/51b802dc5cfc9e0da21de04177d79028bfbe5d47"><code>51b802d</code></a>
Merge pull request <a
href="https://redirect.github.com/moka-rs/moka/issues/603">#603</a> from
moka-rs/bump-crossbeam-epoch-floor</li>
<li><a
href="https://github.com/moka-rs/moka/commit/4f9071684161d59212c32a0e89762c3a5d6385a4"><code>4f90716</code></a>
Raise the minimum crossbeam-epoch version to 0.9.20</li>
<li><a
href="https://github.com/moka-rs/moka/commit/08d0e0458bd95af7f9435ff3ffbba6d1e91647c1"><code>08d0e04</code></a>
Merge pull request <a
href="https://redirect.github.com/moka-rs/moka/issues/602">#602</a> from
moka-rs/gh600-tsan-workaround</li>
<li><a
href="https://github.com/moka-rs/moka/commit/14447a7cbe441639e2aa3570e411fe493c71c9ac"><code>14447a7</code></a>
Restructure the v0.12.16 TSan workaround CHANGELOG entry</li>
<li><a
href="https://github.com/moka-rs/moka/commit/7b14c37b009a25c9a2ec27e2669dc5f8db7ce254"><code>7b14c37</code></a>
Avoid a TSan false positive by replacing the fence in MiniArc::drop</li>
<li><a
href="https://github.com/moka-rs/moka/commit/05b37c63098473034e7e961c1010284163ad8634"><code>05b37c6</code></a>
Merge pull request <a
href="https://redirect.github.com/moka-rs/moka/issues/599">#599</a> from
moka-rs/gh590-deterministic-tests</li>
<li><a
href="https://github.com/moka-rs/moka/commit/fc318584d25c0ea01109872da37d395754647e04"><code>fc31858</code></a>
Replace private doc references in gh590 test comments</li>
<li><a
href="https://github.com/moka-rs/moka/commit/57435922036ff4ab9f1b5bd0c3bffe6c8acd9921"><code>5743592</code></a>
Improve the v0.12.16 CHANGELOG entry</li>
<li>Additional commits viewable in <a
href="https://github.com/moka-rs/moka/compare/v0.12.15...v0.12.16">compare
view</a></li>
</ul>
</details>
<br />

Updates `uuid` from 1.24.0 to 1.26.0
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/uuid-rs/uuid/releases">uuid's
releases</a>.</em></p>
<blockquote>
<h2>v1.26.0</h2>
<h2>What's Changed</h2>
<ul>
<li>Add ContextV7::with_additional_precision_bits by <a
href="https://github.com/ChrisJr404"><code>@​ChrisJr404</code></a> in <a
href="https://redirect.github.com/uuid-rs/uuid/pull/904">uuid-rs/uuid#904</a></li>
<li>Prepare for 1.26.0 release by <a
href="https://github.com/KodrAus"><code>@​KodrAus</code></a> in <a
href="https://redirect.github.com/uuid-rs/uuid/pull/905">uuid-rs/uuid#905</a></li>
</ul>
<p><strong>Full Changelog</strong>: <a
href="https://github.com/uuid-rs/uuid/compare/1.25.0...v1.26.0">https://github.com/uuid-rs/uuid/compare/1.25.0...v1.26.0</a></p>
<h2>1.25.0</h2>
<h2>What's Changed</h2>
<ul>
<li>Add a serde::bytes module that encodes a Uuid as a byte string by <a
href="https://github.com/ChrisJr404"><code>@​ChrisJr404</code></a> in <a
href="https://redirect.github.com/uuid-rs/uuid/pull/902">uuid-rs/uuid#902</a></li>
<li>Prepare for 1.25.0 release by <a
href="https://github.com/KodrAus"><code>@​KodrAus</code></a> in <a
href="https://redirect.github.com/uuid-rs/uuid/pull/903">uuid-rs/uuid#903</a></li>
</ul>
<h2>New Contributors</h2>
<ul>
<li><a
href="https://github.com/ChrisJr404"><code>@​ChrisJr404</code></a> made
their first contribution in <a
href="https://redirect.github.com/uuid-rs/uuid/pull/902">uuid-rs/uuid#902</a></li>
</ul>
<p><strong>Full Changelog</strong>: <a
href="https://github.com/uuid-rs/uuid/compare/v1.24.1...1.25.0">https://github.com/uuid-rs/uuid/compare/v1.24.1...1.25.0</a></p>
<h2>v1.24.1</h2>
<h2>What's Changed</h2>
<ul>
<li>Fix non-ASCII character handling in parse diagnostics by <a
href="https://github.com/questfever"><code>@​questfever</code></a> in <a
href="https://redirect.github.com/uuid-rs/uuid/pull/899">uuid-rs/uuid#899</a></li>
<li>Prepare for 1.24.1 release by <a
href="https://github.com/KodrAus"><code>@​KodrAus</code></a> in <a
href="https://redirect.github.com/uuid-rs/uuid/pull/900">uuid-rs/uuid#900</a></li>
</ul>
<h2>New Contributors</h2>
<ul>
<li><a
href="https://github.com/questfever"><code>@​questfever</code></a> made
their first contribution in <a
href="https://redirect.github.com/uuid-rs/uuid/pull/899">uuid-rs/uuid#899</a></li>
</ul>
<p><strong>Full Changelog</strong>: <a
href="https://github.com/uuid-rs/uuid/compare/v1.24.0...v1.24.1">https://github.com/uuid-rs/uuid/compare/v1.24.0...v1.24.1</a></p>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/uuid-rs/uuid/commit/cdc96a87bddc38d0eb8f894c764e151d2299b4b3"><code>cdc96a8</code></a>
Merge pull request <a
href="https://redirect.github.com/uuid-rs/uuid/issues/905">#905</a> from
uuid-rs/cargo/v1.26.0</li>
<li><a
href="https://github.com/uuid-rs/uuid/commit/34e4f49c0d50c12f1b3021baf98b8fb91f6407bb"><code>34e4f49</code></a>
don't test macros under miri</li>
<li><a
href="https://github.com/uuid-rs/uuid/commit/d9e7242b37755d844d19fa74559a88e1c46c5206"><code>d9e7242</code></a>
update nightly used for miri</li>
<li><a
href="https://github.com/uuid-rs/uuid/commit/ec16819865b89aa3c52456c8afd0ce9a90f0fcdb"><code>ec16819</code></a>
prepare for 1.26.0 release</li>
<li><a
href="https://github.com/uuid-rs/uuid/commit/162cd208a4521138f1d8ce05b63342ba7ba5c4e6"><code>162cd20</code></a>
Merge pull request <a
href="https://redirect.github.com/uuid-rs/uuid/issues/904">#904</a> from
ChrisJr404/v7-additional-precision-bits</li>
<li><a
href="https://github.com/uuid-rs/uuid/commit/97eceffa708f87969792af604291d3e4984dfc90"><code>97eceff</code></a>
Add ContextV7::with_additional_precision_bits for microsecond
clocks</li>
<li><a
href="https://github.com/uuid-rs/uuid/commit/302e0bf6dc5abf949c06973a37f1f3a093cc2699"><code>302e0bf</code></a>
Merge pull request <a
href="https://redirect.github.com/uuid-rs/uuid/issues/903">#903</a> from
uuid-rs/cargo/1.25.0</li>
<li><a
href="https://github.com/uuid-rs/uuid/commit/b7ccde885d770d013f413a2685ebe7f38932e1d0"><code>b7ccde8</code></a>
prepare for 1.25.0 release</li>
<li><a
href="https://github.com/uuid-rs/uuid/commit/c62dffbc038034ff045f3009f2536362e313bf34"><code>c62dffb</code></a>
Merge pull request <a
href="https://redirect.github.com/uuid-rs/uuid/issues/902">#902</a> from
ChrisJr404/serde-bytes-module</li>
<li><a
href="https://github.com/uuid-rs/uuid/commit/8c198b24b1aa55948c0fa4b3433c1954be19c8c8"><code>8c198b2</code></a>
Add a serde::bytes module that encodes as a byte string</li>
<li>Additional commits viewable in <a
href="https://github.com/uuid-rs/uuid/compare/v1.24.0...v1.26.0">compare
view</a></li>
</ul>
</details>
<br />

Updates `serde_with` from 3.21.0 to 3.22.0
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/jonasbb/serde_with/releases">serde_with's
releases</a>.</em></p>
<blockquote>
<h2>serde_with v3.22.0</h2>
<h3>Added</h3>
<ul>
<li>Add support for <code>jiff</code> v0.2 behind the new
<code>jiff_0_2</code> feature flag (<a
href="https://redirect.github.com/jonasbb/serde_with/issues/936">#936</a>)
<code>jiff::SignedDuration</code> works with
<code>DurationSeconds</code> and its variants.
<code>jiff::Timestamp</code>, <code>jiff::Zoned</code>, and
<code>jiff::civil::DateTime</code> work with
<code>TimestampSeconds</code> and its variants.
Deserializing a <code>jiff::Zoned</code> uses the system time zone, like
<code>chrono::DateTime&lt;Local&gt;</code>.</li>
</ul>
<h3>Fixed</h3>
<ul>
<li>Extend the <a
href="https://github.com/jonasbb/serde_with/security/advisories/GHSA-7gcf-g7xr-8hxj">GHSA-7gcf-g7xr-8hxj</a>
fix to the duplicate-key-prevention collections.
The <code>rust::sets_duplicate_value_is_error</code>,
<code>rust::maps_duplicate_key_is_error</code>,
<code>rust::sets_last_value_wins</code>, and
<code>rust::maps_first_key_wins</code> adapters created their backing
sets/maps with <code>with_capacity_and_hasher</code> using the raw
deserializer <code>size_hint</code>, bypassing the
<code>size_hint_cautious</code> cap added in <a
href="https://redirect.github.com/jonasbb/serde_with/issues/966">#966</a>
(the <code>clippy.toml</code> <code>disallowed_methods</code> lint only
covers <code>Vec::with_capacity</code>, not
<code>with_capacity_and_hasher</code>, so these sites were not flagged).
Attacker-controlled input claiming a huge length could panic with
<code>Hash table capacity overflow</code> before a single element was
read. All such constructions now route through
<code>size_hint_cautious</code>.</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/jonasbb/serde_with/commit/88f576a17c5cd45cea6a30252ef10653dde69fa8"><code>88f576a</code></a>
Bump version to 3.22.0 (<a
href="https://redirect.github.com/jonasbb/serde_with/issues/991">#991</a>)</li>
<li><a
href="https://github.com/jonasbb/serde_with/commit/931e664445c2139446b84e76b339924f136a1565"><code>931e664</code></a>
Bump version to 3.22.0</li>
<li><a
href="https://github.com/jonasbb/serde_with/commit/e26930e0b7a6c1e6463086a2447e7cc8fc6f0a24"><code>e26930e</code></a>
Bump github/codeql-action from 4.37.3 to 4.37.4 in the github-actions
group (...</li>
<li><a
href="https://github.com/jonasbb/serde_with/commit/92cd5a0bd5c7a80fc7eae90bb99b873c40429aa3"><code>92cd5a0</code></a>
Bump github/codeql-action in the github-actions group</li>
<li><a
href="https://github.com/jonasbb/serde_with/commit/32be66fecc5c1fe4c90ac0230c0af04d1977df53"><code>32be66f</code></a>
Guard with_capacity_and_hasher against untrusted size_hint (DoS) (<a
href="https://redirect.github.com/jonasbb/serde_with/issues/971">#971</a>)</li>
<li><a
href="https://github.com/jonasbb/serde_with/commit/33871cd4dd1ecef2c3af0ead9528c8b407c16f04"><code>33871cd</code></a>
Merge branch 'master' into
fix/duplicate-key-impls-capacity-overflow</li>
<li><a
href="https://github.com/jonasbb/serde_with/commit/bb1e06484261595c8cec7fd7f4ed33ecdfb951c0"><code>bb1e064</code></a>
Change function position within impl (<a
href="https://redirect.github.com/jonasbb/serde_with/issues/968">#968</a>)</li>
<li><a
href="https://github.com/jonasbb/serde_with/commit/202d3dd617d7b5a9db5f490fa752d6ccb48454e8"><code>202d3dd</code></a>
Improve the time unit macros to remove unnecessary repetition and make
the co...</li>
<li><a
href="https://github.com/jonasbb/serde_with/commit/b347efb536caf83c850d4808f90503835fd78755"><code>b347efb</code></a>
Move the <code>use_duration_signed_ser</code>/<code>*_de</code> macros
utils</li>
<li><a
href="https://github.com/jonasbb/serde_with/commit/65905455527c0abf51f2f906bc08724426b2b922"><code>6590545</code></a>
chrono_0_4: Implement the same time unit macro cleanup as jiff_0_2</li>
<li>Additional commits viewable in <a
href="https://github.com/jonasbb/serde_with/compare/v3.21.0...v3.22.0">compare
view</a></li>
</ul>
</details>
<br />

Updates `roaring` from 0.11.4 to 0.11.5
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/RoaringBitmap/roaring-rs/releases">roaring's
releases</a>.</em></p>
<blockquote>
<h2>v0.11.5</h2>
<h2>What's Changed</h2>
<ul>
<li>Implement std Error for IntegerTooSmall by <a
href="https://github.com/Kerollmops"><code>@​Kerollmops</code></a> in <a
href="https://redirect.github.com/RoaringBitmap/roaring-rs/pull/362">RoaringBitmap/roaring-rs#362</a></li>
<li>fix: invalid treemap iter advance by <a
href="https://github.com/silver-ymz"><code>@​silver-ymz</code></a> in <a
href="https://redirect.github.com/RoaringBitmap/roaring-rs/pull/360">RoaringBitmap/roaring-rs#360</a></li>
<li>Fix off-by-one that corrupts a bitmap in
remove_smallest/remove_biggest (<a
href="https://redirect.github.com/RoaringBitmap/roaring-rs/issues/359">#359</a>)
by <a href="https://github.com/youdie006"><code>@​youdie006</code></a>
in <a
href="https://redirect.github.com/RoaringBitmap/roaring-rs/pull/363">RoaringBitmap/roaring-rs#363</a></li>
<li>Upgrade dependencies bump version by <a
href="https://github.com/Kerollmops"><code>@​Kerollmops</code></a> in <a
href="https://redirect.github.com/RoaringBitmap/roaring-rs/pull/364">RoaringBitmap/roaring-rs#364</a></li>
</ul>
<h2>New Contributors</h2>
<ul>
<li><a
href="https://github.com/silver-ymz"><code>@​silver-ymz</code></a> made
their first contribution in <a
href="https://redirect.github.com/RoaringBitmap/roaring-rs/pull/360">RoaringBitmap/roaring-rs#360</a></li>
<li><a href="https://github.com/youdie006"><code>@​youdie006</code></a>
made their first contribution in <a
href="https://redirect.github.com/RoaringBitmap/roaring-rs/pull/363">RoaringBitmap/roaring-rs#363</a></li>
</ul>
<p><strong>Full Changelog</strong>: <a
href="https://github.com/RoaringBitmap/roaring-rs/compare/v0.11.4...v0.11.5">https://github.com/RoaringBitmap/roaring-rs/compare/v0.11.4...v0.11.5</a></p>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/RoaringBitmap/roaring-rs/commit/0ce3fc8b55b193ce220253bfbc0c3e09bd171375"><code>0ce3fc8</code></a>
Merge pull request <a
href="https://redirect.github.com/RoaringBitmap/roaring-rs/issues/364">#364</a>
from RoaringBitmap/upgrade-dependencies-bump-version</li>
<li><a
href="https://github.com/RoaringBitmap/roaring-rs/commit/a961a042db8d325515e6b5273a2e9369fe5c931d"><code>a961a04</code></a>
Remove the once_cell dependency</li>
<li><a
href="https://github.com/RoaringBitmap/roaring-rs/commit/5e8445b2d6914e8e56d85de340f9156825f4e91b"><code>5e8445b</code></a>
Merge pull request <a
href="https://redirect.github.com/RoaringBitmap/roaring-rs/issues/363">#363</a>
from youdie006/fix/359-interval-remove-boundary</li>
<li><a
href="https://github.com/RoaringBitmap/roaring-rs/commit/bf2961d99fb4da2c540a55eb699228a7bb00a732"><code>bf2961d</code></a>
Bump version to v0.11.5</li>
<li><a
href="https://github.com/RoaringBitmap/roaring-rs/commit/048a8b05fcae08636354607f0c00d6e95f262107"><code>048a8b0</code></a>
Fix off-by-one that corrupts a bitmap in
remove_smallest/remove_biggest</li>
<li><a
href="https://github.com/RoaringBitmap/roaring-rs/commit/27d84f567dd85243194d2b87683262ef43a5dd97"><code>27d84f5</code></a>
Merge pull request <a
href="https://redirect.github.com/RoaringBitmap/roaring-rs/issues/360">#360</a>
from silver-ymz/fix/treemap-iter-advance-across-bitmaps</li>
<li><a
href="https://github.com/RoaringBitmap/roaring-rs/commit/aac2de82a7f9e44fd73d8364de840169447d580b"><code>aac2de8</code></a>
Make clippy happy</li>
<li><a
href="https://github.com/RoaringBitmap/roaring-rs/commit/a3d1d54be985fe22c01e882f85c3ee7055ad9c8b"><code>a3d1d54</code></a>
Merge pull request <a
href="https://redirect.github.com/RoaringBitmap/roaring-rs/issues/362">#362</a>
from RoaringBitmap/std-error-for-integer-too-small</li>
<li><a
href="https://github.com/RoaringBitmap/roaring-rs/commit/9a3c33e42c0b14bdd3f296313ee367526092aa81"><code>9a3c33e</code></a>
Implement std Error for IntegerTooSmall</li>
<li><a
href="https://github.com/RoaringBitmap/roaring-rs/commit/f46c0ffe90b6d5d52a93106253bb6fa51a08c137"><code>f46c0ff</code></a>
fix: invalid treemap iter advance</li>
<li>See full diff in <a
href="https://github.com/RoaringBitmap/roaring-rs/compare/v0.11.4...v0.11.5">compare
view</a></li>
</ul>
</details>
<br />

Updates `napi` from 3.11.0 to 3.12.0
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/napi-rs/napi-rs/releases">napi's
releases</a>.</em></p>
<blockquote>
<h2>napi-v3.12.0</h2>
<h3>Added</h3>
<ul>
<li><em>(cli)</em> support non-threaded WASI targets (<a
href="https://redirect.github.com/napi-rs/napi-rs/pull/3353">#3353</a>)</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/58bd87fa524a837a7c962ab4103e5588557ccd81"><code>58bd87f</code></a>
chore: release (<a
href="https://redirect.github.com/napi-rs/napi-rs/issues/3414">#3414</a>)</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/9da87236dbc4fef99f066b7a130f4d0377308d44"><code>9da8723</code></a>
chore(release): publish</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/8d22196aa98a1e6e70584561f5446d117d9c802c"><code>8d22196</code></a>
chore(deps): update dependency oxc-parser to ^0.142.0 (<a
href="https://redirect.github.com/napi-rs/napi-rs/issues/3422">#3422</a>)</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/abc30fbafc2e3967d499cef970c68b3edfefd850"><code>abc30fb</code></a>
build(deps): bump postcss from 8.5.17 to 8.5.23 (<a
href="https://redirect.github.com/napi-rs/napi-rs/issues/3421">#3421</a>)</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/55421392cbaa24d4df69419e4c6d4958fbcb6a12"><code>5542139</code></a>
build(deps): bump fast-xml-parser from 5.9.3 to 5.10.1 (<a
href="https://redirect.github.com/napi-rs/napi-rs/issues/3418">#3418</a>)</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/dc4ee8c89cc27ce30e239482199b3b3d786bf8b6"><code>dc4ee8c</code></a>
build(deps): bump fast-uri from 3.1.3 to 3.1.4 (<a
href="https://redirect.github.com/napi-rs/napi-rs/issues/3419">#3419</a>)</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/050d985196174b4be830cdb813d09e2705258455"><code>050d985</code></a>
feat(async-runtime): drain-linger surface + lock-free scheduler
internals (<a
href="https://redirect.github.com/napi-rs/napi-rs/issues/3">#3</a>...</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/e0b87086eefe0e7efeea6d269e9403c4be4ba9aa"><code>e0b8708</code></a>
chore(deps): update dependency oxc-parser to ^0.141.0 (<a
href="https://redirect.github.com/napi-rs/napi-rs/issues/3417">#3417</a>)</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/fc8494010697d078a93a528c3180271f6f187504"><code>fc84940</code></a>
chore(deps): update actions/setup-node action to v7 (<a
href="https://redirect.github.com/napi-rs/napi-rs/issues/3413">#3413</a>)</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/ee598db45985ef11e18c7340801c28bb2452b688"><code>ee598db</code></a>
build(deps): bump protobufjs from 7.6.4 to 7.6.5 (<a
href="https://redirect.github.com/napi-rs/napi-rs/issues/3410">#3410</a>)</li>
<li>Additional commits viewable in <a
href="https://github.com/napi-rs/napi-rs/compare/napi-v3.11.0...napi-v3.12.0">compare
view</a></li>
</ul>
</details>
<br />

Updates `napi-derive` from 3.6.1 to 3.6.3
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/napi-rs/napi-rs/releases">napi-derive's
releases</a>.</em></p>
<blockquote>
<h2>napi-derive-v3.6.3</h2>
<h3>Other</h3>
<ul>
<li>updated the following local packages: napi-derive-backend</li>
</ul>
<h2>napi-derive-v3.6.2</h2>
<h3>Other</h3>
<ul>
<li>updated the following local packages: napi-derive-backend</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/956e4525fea6a676ea3680b711382f167b899af9"><code>956e452</code></a>
chore: release (<a
href="https://redirect.github.com/napi-rs/napi-rs/issues/3448">#3448</a>)</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/73048f5a7fdbd42cdc2f46f2d5ac60ef27417bfa"><code>73048f5</code></a>
chore(release): publish</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/61fae8a1440ad8b7249f3cd7838fc2bafe00a906"><code>61fae8a</code></a>
fix(napi): stop unloading addons with live native code, preserve
non-Error re...</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/93e86ce167095e84f2be2ae1c66a6c0bb96fec49"><code>93e86ce</code></a>
chore(release): publish</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/2c905991899b9f12a0df4072c4bff6d62ef70d26"><code>2c90599</code></a>
fix(cli): support npm 12 pack output (<a
href="https://redirect.github.com/napi-rs/napi-rs/issues/3449">#3449</a>)</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/360b1ec99ab0d001147d29e11c416c8338d3d1c9"><code>360b1ec</code></a>
fix(wasi): avoid randomness during module registration (<a
href="https://redirect.github.com/napi-rs/napi-rs/issues/3447">#3447</a>)</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/b648c4090e7518ced18c9eca6059d27af3ab511b"><code>b648c40</code></a>
build(deps): bump nanoid from 3.3.16 to 3.3.18 (<a
href="https://redirect.github.com/napi-rs/napi-rs/issues/3446">#3446</a>)</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/ffda4efff4bc4ebb6bef1f629dd0a6f09dc8f210"><code>ffda4ef</code></a>
chore(deps): update dependency js-yaml to v4.3.1 [security] (<a
href="https://redirect.github.com/napi-rs/napi-rs/issues/3445">#3445</a>)</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/387b0dc7986018e44a4a0b466b030dc414170411"><code>387b0dc</code></a>
feat(cli): size WASI browser worker pools from
navigator.hardwareConcurrency ...</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/61e4346ce3d9a9c13e5c5dd6fb3b7d5e1b1d6e0d"><code>61e4346</code></a>
build(deps): bump fast-uri from 3.1.4 to 3.1.5 (<a
href="https://redirect.github.com/napi-rs/napi-rs/issues/3440">#3440</a>)</li>
<li>Additional commits viewable in <a
href="https://github.com/napi-rs/napi-rs/compare/napi-derive-v3.6.1...napi-derive-v3.6.3">compare
view</a></li>
</ul>
</details>
<br />

Updates `napi-build` from 2.4.0 to 2.4.1
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/napi-rs/napi-rs/releases">napi-build's
releases</a>.</em></p>
<blockquote>
<h2>napi-build-v2.4.1</h2>
<h3>Fixed</h3>
<ul>
<li><em>(napi)</em> stop unloading addons with live native code,
preserve non-Error rejections, and add the wasm teardown barrier (<a
href="https://redirect.github.com/napi-rs/napi-rs/pull/3423">#3423</a>)</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/956e4525fea6a676ea3680b711382f167b899af9"><code>956e452</code></a>
chore: release (<a
href="https://redirect.github.com/napi-rs/napi-rs/issues/3448">#3448</a>)</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/73048f5a7fdbd42cdc2f46f2d5ac60ef27417bfa"><code>73048f5</code></a>
chore(release): publish</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/61fae8a1440ad8b7249f3cd7838fc2bafe00a906"><code>61fae8a</code></a>
fix(napi): stop unloading addons with live native code, preserve
non-Error re...</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/93e86ce167095e84f2be2ae1c66a6c0bb96fec49"><code>93e86ce</code></a>
chore(release): publish</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/2c905991899b9f12a0df4072c4bff6d62ef70d26"><code>2c90599</code></a>
fix(cli): support npm 12 pack output (<a
href="https://redirect.github.com/napi-rs/napi-rs/issues/3449">#3449</a>)</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/360b1ec99ab0d001147d29e11c416c8338d3d1c9"><code>360b1ec</code></a>
fix(wasi): avoid randomness during module registration (<a
href="https://redirect.github.com/napi-rs/napi-rs/issues/3447">#3447</a>)</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/b648c4090e7518ced18c9eca6059d27af3ab511b"><code>b648c40</code></a>
build(deps): bump nanoid from 3.3.16 to 3.3.18 (<a
href="https://redirect.github.com/napi-rs/napi-rs/issues/3446">#3446</a>)</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/ffda4efff4bc4ebb6bef1f629dd0a6f09dc8f210"><code>ffda4ef</code></a>
chore(deps): update dependency js-yaml to v4.3.1 [security] (<a
href="https://redirect.github.com/napi-rs/napi-rs/issues/3445">#3445</a>)</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/387b0dc7986018e44a4a0b466b030dc414170411"><code>387b0dc</code></a>
feat(cli): size WASI browser worker pools from
navigator.hardwareConcurrency ...</li>
<li><a
href="https://github.com/napi-rs/napi-rs/commit/61e4346ce3d9a9c13e5c5dd6fb3b7d5e1b1d6e0d"><code>61e4346</code></a>
build(deps): bump fast-uri from 3.1.4 to 3.1.5 (<a
href="https://redirect.github.com/napi-rs/napi-rs/issues/3440">#3440</a>)</li>
<li>Additional commits viewable in <a
href="https://github.com/napi-rs/napi-rs/compare/napi-build-v2.4.0...napi-build-v2.4.1">compare
view</a></li>
</ul>
</details>
<br />

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Will Jones <willjones127@gmail.com>
Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>
2026-08-31 10:40:11 -07:00
Yang Cen c8fd3e97d1 test(python): cover stable main udf registration identity (#4094)
## Other changes

### What changed?

- Add a subprocess regression harness for an ordinary `@udf` function
defined in `__main__`.
- Verify the full registration request, artifact digest, and Function
signature stay identical across independent Python processes and
renamed/moved script paths.
- Verify body, referenced-global, and annotation changes still produce
distinct artifact identities, with annotation changes also producing a
distinct Function signature.

### Why is the change needed?


[ENT-2441](https://linear.app/lancedb/issue/ENT-2441/make-sure-function-defined-in-main-gets-stable-signature)
tracks the stability guarantee. Investigation on the exact `840e1d73`
main base found that LanceDB already packages canonical source instead
of cloudpickle bytes, so the unchanged `__main__` function is stable and
no production-code fix is needed. This change closes the missing
regression-test coverage.


[GEN-950](https://linear.app/lancedb/issue/GEN-950/class-based-udfs-defined-in-main-get-a-new-auto-version-on-every-run)
remains a separate Geneva checkpoint-version issue for class-based
callables. LanceDB's Function API continues to accept synchronous Python
functions only.

## Validation

- `cd python && uv run --extra tests pytest
python/tests/test_first_class_function_slice2.py -q` (`40 passed`)
- `uv run --project python --extra dev ruff format .`
- `uv run --project python --extra dev ruff check .` (`All checks
passed!`)
2026-08-31 22:34:34 +08:00
Xuanwo c196d033e9 feat: add drop_function client APIs (#4097) 2026-08-31 22:17:11 +08:00
Yang CenandClaude 16753b805a revert: restore the lance v12.0.0-beta.5 pin on main (#4095)
Reverts #4093 (`c4ee8ae`), restoring main's lance dependency to
v12.0.0-beta.5 and the v12 integration surface it carried — the
`read_dir_page` paginated-listing pushdown from #3979, the v12
object-store wrapper APIs, and the shard-manifest call sites.

Pinning lance v11.0.0 stable belonged on a dedicated release branch for
cutting v0.38.0, not on main: main was already on the v12 beta train, so
#4093 was a downgrade of the development line. The released **v0.38.0
stands as published** — this only moves main forward again.

Verified on this branch: `cargo check --features remote --tests
--examples` clean, all 48 `database::listing` tests pass (the restored
store-pushdown pagination versions), `cargo fmt --check` and `cargo
clippy --features remote --tests --examples` clean. The root
`Cargo.lock` is restored by the revert and resolves as-is.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

https://claude.ai/code/session_01BX7w9fUMQbPAXuxe9YgQKc

---
_Generated by [Claude
Code](https://claude.ai/code/session_01BX7w9fUMQbPAXuxe9YgQKc)_

Co-authored-by: Claude <noreply@anthropic.com>
2026-08-31 20:40:46 +08:00
Lance Release 840e1d7313 Bump version: 0.38.0-beta.16 → 0.38.0 2026-08-31 07:38:51 +00:00
Lance Release 1a9414c47c Bump version: 0.38.0-beta.15 → 0.38.0-beta.16 2026-08-31 07:38:25 +00:00
LanceDB Robot c4ee8ae670 feat: update lance dependency to v11.0.0 (#4093)
Updates the Rust workspace and Java lance-core dependency to Lance v11.0.0.

Includes compatibility adjustments for the Lance 11 object-store, table-listing, and shard-manifest APIs.
2026-08-31 15:35:09 +08:00
Lance Release 57b8d3bf05 Bump version: 0.38.0-beta.14 → 0.38.0-beta.15 2026-08-31 07:33:34 +00:00
108 changed files with 11091 additions and 1523 deletions
+1 -1
View File
@@ -1,5 +1,5 @@
[tool.bumpversion]
current_version = "0.38.0-beta.15"
current_version = "0.39.0-beta.4"
parse = """(?x)
(?P<major>0|[1-9]\\d*)\\.
(?P<minor>0|[1-9]\\d*)\\.
+4 -1
View File
@@ -232,7 +232,10 @@ jobs:
ALL_FEATURES=`cargo metadata --format-version=1 --no-deps \
| jq -r '.packages[] | .features | keys | .[]' \
| grep -v s3-test | sort | uniq | paste -s -d "," -`
cargo test --profile ci --features $ALL_FEATURES --locked
# Run doctests before test binaries fill the runner disk. Examples are
# already built by the Linux job, so avoid retaining them here.
cargo test --profile ci --features $ALL_FEATURES --locked --doc
cargo test --profile ci --features $ALL_FEATURES --locked --lib --tests
windows:
strategy:
Generated
+164 -74
View File
@@ -332,6 +332,34 @@ dependencies = [
"num-traits",
]
[[package]]
name = "arrow-flight"
version = "58.4.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "b2dbe34824c639e43136af8f106992792ab456540d54b880bc320a3192502d2e"
dependencies = [
"arrow-arith",
"arrow-array",
"arrow-buffer",
"arrow-cast",
"arrow-data",
"arrow-ipc",
"arrow-ord",
"arrow-row",
"arrow-schema",
"arrow-select",
"arrow-string",
"base64 0.22.1",
"bytes",
"futures",
"once_cell",
"paste",
"prost",
"prost-types",
"tonic",
"tonic-prost",
]
[[package]]
name = "arrow-ipc"
version = "58.4.0"
@@ -535,9 +563,9 @@ dependencies = [
[[package]]
name = "async-trait"
version = "0.1.91"
version = "0.1.92"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "ae36dc4177970ef04fde5178d3e2429882def40e57a451f919c098f72baa6cec"
checksum = "82f6aeea286b8eb4dd3431a1be1b59d290ace00f5bfd8e2a159bc2a05e2c1667"
dependencies = [
"proc-macro2",
"quote",
@@ -1129,7 +1157,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "edca88bc138befd0323b20752846e6587272d3b03b0343c8ea28a6f819e6e71f"
dependencies = [
"async-trait",
"axum-core",
"axum-core 0.4.5",
"bytes",
"futures-util",
"http 1.5.0",
@@ -1138,7 +1166,7 @@ dependencies = [
"hyper 1.9.0",
"hyper-util",
"itoa",
"matchit",
"matchit 0.7.3",
"memchr",
"mime",
"percent-encoding",
@@ -1156,6 +1184,31 @@ dependencies = [
"tracing",
]
[[package]]
name = "axum"
version = "0.8.9"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "31b698c5f9a010f6573133b09e0de5408834d0c82f8d7475a89fc1867a71cd90"
dependencies = [
"axum-core 0.5.6",
"bytes",
"futures-util",
"http 1.5.0",
"http-body 1.1.0",
"http-body-util",
"itoa",
"matchit 0.8.4",
"memchr",
"mime",
"percent-encoding",
"pin-project-lite",
"serde_core",
"sync_wrapper",
"tower",
"tower-layer",
"tower-service",
]
[[package]]
name = "axum-core"
version = "0.4.5"
@@ -1177,6 +1230,24 @@ dependencies = [
"tracing",
]
[[package]]
name = "axum-core"
version = "0.5.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "08c78f31d7b1291f7ee735c1c6780ccde7785daae9a9206026862dab7d8792d1"
dependencies = [
"bytes",
"futures-core",
"http 1.5.0",
"http-body 1.1.0",
"http-body-util",
"mime",
"pin-project-lite",
"sync_wrapper",
"tower-layer",
"tower-service",
]
[[package]]
name = "backoff"
version = "0.4.0"
@@ -1443,9 +1514,9 @@ checksum = "175812e0be2bccb6abe50bb8d566126198344f707e304f45c648fd8f2cc0365e"
[[package]]
name = "bytemuck"
version = "1.25.0"
version = "1.25.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "c8efb64bd706a16a1bdde310ae86b351e4d21550d98d056f22f8a7f7a2183fec"
checksum = "95832e849adfb21180ccb6826a99da14e5d266ae5c2e668e1602cf234f153797"
dependencies = [
"bytemuck_derive",
]
@@ -3455,8 +3526,8 @@ checksum = "42703706b716c37f96a77aea830392ad231f44c9e9a67872fa5548707e11b11c"
[[package]]
name = "fsst"
version = "12.0.0-beta.5"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
version = "12.0.0-beta.14"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"arrow-array",
"rand 0.9.5",
@@ -4815,8 +4886,8 @@ checksum = "e037a2e1d8d5fdbd49b16a4ea09d5d6401c1f29eca5ff29d03d3824dba16256a"
[[package]]
name = "lance"
version = "12.0.0-beta.5"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
version = "12.0.0-beta.14"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"arc-swap",
"arrow",
@@ -4888,8 +4959,8 @@ dependencies = [
[[package]]
name = "lance-arrow"
version = "12.0.0-beta.5"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
version = "12.0.0-beta.14"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"arrow-array",
"arrow-buffer",
@@ -4911,7 +4982,7 @@ dependencies = [
[[package]]
name = "lance-arrow-scalar"
version = "58.0.0"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"arrow-array",
"arrow-buffer",
@@ -4925,7 +4996,7 @@ dependencies = [
[[package]]
name = "lance-arrow-stats"
version = "58.0.0"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"arrow-array",
"arrow-schema",
@@ -4934,8 +5005,8 @@ dependencies = [
[[package]]
name = "lance-bitpacking"
version = "12.0.0-beta.5"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
version = "12.0.0-beta.14"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"arrayref",
"crunchy",
@@ -4945,8 +5016,8 @@ dependencies = [
[[package]]
name = "lance-core"
version = "12.0.0-beta.5"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
version = "12.0.0-beta.14"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"arrow-array",
"arrow-buffer",
@@ -4983,8 +5054,8 @@ dependencies = [
[[package]]
name = "lance-datafusion"
version = "12.0.0-beta.5"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
version = "12.0.0-beta.14"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"arrow",
"arrow-array",
@@ -5000,6 +5071,7 @@ dependencies = [
"datafusion-functions",
"datafusion-physical-expr",
"futures",
"half",
"jsonb",
"lance-arrow",
"lance-core",
@@ -5013,8 +5085,8 @@ dependencies = [
[[package]]
name = "lance-datagen"
version = "12.0.0-beta.5"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
version = "12.0.0-beta.14"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"arrow",
"arrow-array",
@@ -5031,8 +5103,8 @@ dependencies = [
[[package]]
name = "lance-derive"
version = "12.0.0-beta.5"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
version = "12.0.0-beta.14"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"proc-macro2",
"quote",
@@ -5041,8 +5113,8 @@ dependencies = [
[[package]]
name = "lance-encoding"
version = "12.0.0-beta.5"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
version = "12.0.0-beta.14"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"arrow-arith",
"arrow-array",
@@ -5075,8 +5147,8 @@ dependencies = [
[[package]]
name = "lance-file"
version = "12.0.0-beta.5"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
version = "12.0.0-beta.14"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"arrow-arith",
"arrow-array",
@@ -5107,8 +5179,8 @@ dependencies = [
[[package]]
name = "lance-index"
version = "12.0.0-beta.5"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
version = "12.0.0-beta.14"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"arc-swap",
"arrow",
@@ -5172,8 +5244,8 @@ dependencies = [
[[package]]
name = "lance-index-core"
version = "12.0.0-beta.5"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
version = "12.0.0-beta.14"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"arrow-array",
"arrow-schema",
@@ -5195,8 +5267,8 @@ dependencies = [
[[package]]
name = "lance-io"
version = "12.0.0-beta.5"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
version = "12.0.0-beta.14"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"arrow",
"arrow-array",
@@ -5236,8 +5308,8 @@ dependencies = [
[[package]]
name = "lance-linalg"
version = "12.0.0-beta.5"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
version = "12.0.0-beta.14"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"arrow-array",
"arrow-schema",
@@ -5251,27 +5323,29 @@ dependencies = [
[[package]]
name = "lance-namespace"
version = "12.0.0-beta.5"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
version = "12.0.0-beta.14"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"arrow",
"async-trait",
"bytes",
"lance-core",
"lance-namespace-reqwest-client",
"serde",
"serde_json",
"snafu 0.9.0",
]
[[package]]
name = "lance-namespace-impls"
version = "12.0.0-beta.5"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
version = "12.0.0-beta.14"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"arrow",
"arrow-ipc",
"arrow-schema",
"async-trait",
"axum",
"axum 0.7.9",
"base64 0.22.1",
"bytes",
"chrono",
@@ -5304,9 +5378,9 @@ dependencies = [
[[package]]
name = "lance-namespace-reqwest-client"
version = "0.11.0"
version = "0.12.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "0a030196da1c994b63a96a4f0bf5b0cfa459fe6dadc9e962320246ca328da22a"
checksum = "d8d23e54b1634d5bbb434f8dd33dc3c05f6e58d876a9a27b3b4aef58ddbe11af"
dependencies = [
"reqwest 0.12.28",
"serde",
@@ -5318,8 +5392,8 @@ dependencies = [
[[package]]
name = "lance-select"
version = "12.0.0-beta.5"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
version = "12.0.0-beta.14"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"arrow-array",
"arrow-buffer",
@@ -5333,8 +5407,8 @@ dependencies = [
[[package]]
name = "lance-table"
version = "12.0.0-beta.5"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
version = "12.0.0-beta.14"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"arrow",
"arrow-array",
@@ -5374,8 +5448,8 @@ dependencies = [
[[package]]
name = "lance-testing"
version = "12.0.0-beta.5"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
version = "12.0.0-beta.14"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"arrow-array",
"arrow-schema",
@@ -5388,8 +5462,8 @@ dependencies = [
[[package]]
name = "lance-tokenizer"
version = "12.0.0-beta.5"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.5#556637791d0048c2b4f1342dd84b67c8bbd65259"
version = "12.0.0-beta.14"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
dependencies = [
"frostem",
"icu_segmenter",
@@ -5402,7 +5476,7 @@ dependencies = [
[[package]]
name = "lancedb"
version = "0.38.0-beta.14"
version = "0.39.0-beta.4"
dependencies = [
"ahash",
"anyhow",
@@ -5411,6 +5485,7 @@ dependencies = [
"arrow-buffer",
"arrow-cast",
"arrow-data",
"arrow-flight",
"arrow-ipc",
"arrow-ord",
"arrow-schema",
@@ -5466,6 +5541,7 @@ dependencies = [
"polars",
"polars-arrow",
"pprof 0.14.1",
"prost",
"rand 0.9.5",
"random_word",
"regex",
@@ -5482,6 +5558,7 @@ dependencies = [
"test-log",
"tokenizers",
"tokio",
"tonic",
"url",
"urlencoding",
"uuid",
@@ -5490,7 +5567,7 @@ dependencies = [
[[package]]
name = "lancedb-nodejs"
version = "0.38.0-beta.14"
version = "0.39.0-beta.4"
dependencies = [
"arrow-array",
"arrow-buffer",
@@ -5515,7 +5592,7 @@ dependencies = [
[[package]]
name = "lancedb-python"
version = "0.38.0-beta.14"
version = "0.39.0-beta.4"
dependencies = [
"arrow",
"async-trait",
@@ -5539,6 +5616,7 @@ dependencies = [
"serde_json",
"snafu 0.8.9",
"tokio",
"uuid",
]
[[package]]
@@ -5748,9 +5826,9 @@ dependencies = [
[[package]]
name = "log"
version = "0.4.33"
version = "0.4.34"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "0ceec5bc11778974d1bcb055b18002eba7f4b3518b6a0081b3af5f21666da9ad"
checksum = "f9f8bd3e56ce4dfc153cf470fffbfa98c7620958b312ca5c3a4b8d5181fd13c6"
[[package]]
name = "loom"
@@ -5859,6 +5937,12 @@ version = "0.7.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "0e7465ac9959cc2b1404e8e2367b43684a6d13790fe23056cc8c6c5a6b7bcb94"
[[package]]
name = "matchit"
version = "0.8.4"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "47e1ffaa40ddd1f3ed91f717a33c8c0ee23fff369e3aa8772b9605cc1d22f4c3"
[[package]]
name = "matrixmultiply"
version = "0.3.10"
@@ -6001,9 +6085,9 @@ dependencies = [
[[package]]
name = "moka"
version = "0.12.15"
version = "0.12.16"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "957228ad12042ee839f93c8f257b62b4c0ab5eaae1d4fa60de53b27c9d7c5046"
checksum = "4293f18e7567a1caf3c584855554377025c65e0aa445344d04171f5ad63d19b9"
dependencies = [
"async-lock",
"crossbeam-channel",
@@ -6097,14 +6181,15 @@ dependencies = [
[[package]]
name = "napi"
version = "3.11.0"
version = "3.12.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "de33522036981030a75c231829566bc63414e08101a6f5ff4ac6cef19c8e0941"
checksum = "58c5f4d5375213fdb7be2655e152386e82f026f9a5ba36a75556e11359aafe09"
dependencies = [
"bitflags 2.11.1",
"chrono",
"ctor 1.0.12",
"futures",
"libc",
"napi-build",
"napi-sys",
"nohash-hasher",
@@ -6116,15 +6201,15 @@ dependencies = [
[[package]]
name = "napi-build"
version = "2.4.0"
version = "2.4.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "5282704fbe8d49b0cf8b08e3f33233416a528658f205c7e5ace63b582de0b11c"
checksum = "60fdf9b392c50e7c4170fa633bd909490ed7835cea4c046776d1a4dd8d2ae0ab"
[[package]]
name = "napi-derive"
version = "3.6.1"
version = "3.6.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "4d5c9c02556ea6dc99dffd36c1ce60141411657438501a125b675776d011ce92"
checksum = "0fa55ea69990c90b888e9e77044410e304ce7f35de599dc6d0b5c1923d2e59af"
dependencies = [
"convert_case",
"ctor 1.0.12",
@@ -6136,9 +6221,9 @@ dependencies = [
[[package]]
name = "napi-derive-backend"
version = "6.1.1"
version = "6.1.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "d60b5d773ad46c698c8cc2cd9fde0b283d39cbb7f71c04bee633c7bdba4423bd"
checksum = "df4056ac7c18e4438ccf0edaed4340ca0d269278c8ec19284f7b23cb039fd0ae"
dependencies = [
"convert_case",
"proc-macro2",
@@ -7733,6 +7818,7 @@ dependencies = [
"pyo3-build-config",
"pyo3-ffi",
"pyo3-macros",
"uuid",
]
[[package]]
@@ -8601,9 +8687,9 @@ dependencies = [
[[package]]
name = "roaring"
version = "0.11.4"
version = "0.11.5"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "1dedc5658c6ecb3bdb5ef5f3295bb9253f42dcf3fd1402c03f6b1f7659c3c4a9"
checksum = "18bd8a37d17a58532776dcdf6041ce64929adca78e8489d5cacbafe99229d3e1"
dependencies = [
"bytemuck",
"byteorder",
@@ -9063,9 +9149,9 @@ dependencies = [
[[package]]
name = "serde_with"
version = "3.21.0"
version = "3.22.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "76a5c54c7310e7b8b9577c286d7e399ddd876c3e12b3ed917a8aabc4b96e9e8c"
checksum = "ee78f1fbe43ac4a0e47aadb3dbd357b69eb0d3793e948624cd03dd2750ab1c0a"
dependencies = [
"base64 0.22.1",
"bs58",
@@ -9073,6 +9159,7 @@ dependencies = [
"hex",
"indexmap 1.9.3",
"indexmap 2.14.0",
"jiff",
"schemars 0.9.0",
"schemars 1.2.1",
"serde_core",
@@ -9083,9 +9170,9 @@ dependencies = [
[[package]]
name = "serde_with_macros"
version = "3.21.0"
version = "3.22.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "84d57bc0c8b9a17920c178daa6bb924850d54a9c97ab45194bb8c17ad66bb660"
checksum = "8705578779c2b6bd90d84d66eb2e206b708b1a4d7b9f17641b293545bf1c7e46"
dependencies = [
"darling 0.23.0",
"proc-macro2",
@@ -10084,6 +10171,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "ac2a5518c70fa84342385732db33fb3f44bc4cc748936eb5833d2df34d6445ef"
dependencies = [
"async-trait",
"axum 0.8.9",
"base64 0.22.1",
"bytes",
"h2 0.4.16",
@@ -10095,9 +10183,11 @@ dependencies = [
"hyper-util",
"percent-encoding",
"pin-project",
"rustls-native-certs",
"socket2 0.6.3",
"sync_wrapper",
"tokio",
"tokio-rustls 0.26.4",
"tokio-stream",
"tower",
"tower-layer",
@@ -10452,9 +10542,9 @@ checksum = "06abde3611657adf66d383f00b093d7faecc7fa57071cce2578660c9f1010821"
[[package]]
name = "uuid"
version = "1.24.0"
version = "1.26.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "bf3923a6f5c4c6382e0b653c4117f48d631ea17f38ed86e2a828e6f7412f5239"
checksum = "b5772d71c9be8a8a6ac2117d949c5b224c1b72241bb611d9a3012edcf8af7812"
dependencies = [
"getrandom 0.4.2",
"js-sys",
+17 -15
View File
@@ -13,20 +13,20 @@ categories = ["database-implementations"]
rust-version = "1.91.0"
[workspace.dependencies]
lance = { "version" = "=12.0.0-beta.5", default-features = false, "tag" = "v12.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
lance-core = { "version" = "=12.0.0-beta.5", "tag" = "v12.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
lance-datagen = { "version" = "=12.0.0-beta.5", "tag" = "v12.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
lance-file = { "version" = "=12.0.0-beta.5", "tag" = "v12.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
lance-io = { "version" = "=12.0.0-beta.5", default-features = false, "tag" = "v12.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
lance-index = { "version" = "=12.0.0-beta.5", "tag" = "v12.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
lance-linalg = { "version" = "=12.0.0-beta.5", "tag" = "v12.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
lance-namespace = { "version" = "=12.0.0-beta.5", "tag" = "v12.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
lance-namespace-impls = { "version" = "=12.0.0-beta.5", default-features = false, "tag" = "v12.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
lance-table = { "version" = "=12.0.0-beta.5", "tag" = "v12.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
lance-testing = { "version" = "=12.0.0-beta.5", "tag" = "v12.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
lance-datafusion = { "version" = "=12.0.0-beta.5", "tag" = "v12.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
lance-encoding = { "version" = "=12.0.0-beta.5", "tag" = "v12.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
lance-arrow = { "version" = "=12.0.0-beta.5", "tag" = "v12.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
lance = { "version" = "=12.0.0-beta.14", default-features = false, "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
lance-core = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
lance-datagen = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
lance-file = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
lance-io = { "version" = "=12.0.0-beta.14", default-features = false, "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
lance-index = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
lance-linalg = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
lance-namespace = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
lance-namespace-impls = { "version" = "=12.0.0-beta.14", default-features = false, "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
lance-table = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
lance-testing = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
lance-datafusion = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
lance-encoding = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
lance-arrow = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
lancedb = { path = "rust/lancedb", default-features = false }
ahash = "0.8"
# Note that this one does not include pyarrow
@@ -39,6 +39,7 @@ arrow-ord = "58.0.0"
arrow-schema = "58.0.0"
arrow-select = "58.0.0"
arrow-cast = "58.0.0"
arrow-flight = { version = "58.0.0", features = ["flight-sql-experimental"] }
async-trait = "0"
bytes = "1"
datafusion = { version = "54.0.0", default-features = false }
@@ -71,7 +72,8 @@ serde = "1"
serde_json = "1"
tempfile = "3.5.0"
tokio = { version = "1.23", features = ["rt-multi-thread", "sync"] }
uuid = { version = "1.7.0", features = ["v4"] }
tonic = { version = "0.14", features = ["tls-native-roots", "tls-ring"] }
uuid = { version = "1.7.0", features = ["v4", "v7"] }
chrono = { version = "0.4", default-features = false, features = ["clock"] }
[profile.ci]
+9
View File
@@ -446,6 +446,15 @@ paths:
properties:
column:
type: string
name:
type: string
description: Optional name for the created index.
replace:
type: boolean
default: true
description: |
Whether to replace an existing index with the same resolved
name. Defaults to true.
metric_type:
type: string
nullable: false
+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>0.38.0-beta.15</version>
<version>0.39.0-beta.4</version>
</dependency>
```
+24 -62
View File
@@ -448,26 +448,6 @@ on the returned job to know when cleanup has finished.
***
### getJob()
```ts
abstract getJob(jobId): Promise<null | JobDescription>
```
Describe a single server-side job by id.
Resolves to `null` when the server has no such job.
#### Parameters
* **jobId**: `string`
#### Returns
`Promise`&lt;`null` \| [`JobDescription`](../interfaces/JobDescription.md)&gt;
***
### isOpen()
```ts
@@ -482,48 +462,6 @@ Return true if the connection has not been closed
***
### job()
```ts
abstract job(jobId): Job
```
A [Job](Job.md) handle for a server-side job by id.
The handle is constructed without a server round trip; an unknown id
surfaces when the handle is used. Dropping the handle has no effect on
the job itself.
#### Parameters
* **jobId**: `string`
#### Returns
[`Job`](Job.md)
***
### jobHistory()
```ts
abstract jobHistory(jobId?): Promise<Table<any>>
```
The lifecycle event history of a server-side job, as an Arrow table.
Lists history across all jobs when `jobId` is omitted.
#### Parameters
* **jobId?**: `string`
#### Returns
`Promise`&lt;`Table`&lt;`any`&gt;&gt;
***
### listJobs()
```ts
@@ -648,6 +586,30 @@ A page of table names and an
***
### openJob()
```ts
abstract openJob(jobId): Promise<Job>
```
Open a server-side job by id, returning a handle with its record already
populated. Rejects when the server has no such job, the way
[Connection.openTable](Connection.md#opentable) does for a missing table.
The returned [Job](Job.md) answers for its own state, specification,
result, failure and event history, so there is no separate
connection-level call for any of them.
#### Parameters
* **jobId**: `string`
#### Returns
`Promise`&lt;[`Job`](Job.md)&gt;
***
### openMaterializedView()
```ts
+159 -12
View File
@@ -8,19 +8,46 @@
A handle to an operation that may still be running.
## Constructors
The operation may already be complete when the handle is created.
### new Job()
The detail getters read what the handle last observed. Submitting an
operation returns only a job id, so populating them eagerly would cost an
extra round trip on every call:
- [Job.refresh](Job.md#refresh) and [Job.status](Job.md#status) fetch the whole record.
- [Job.wait](Job.md#wait) records the terminal state it establishes, but not the
rest of the record.
- Everything is null until one of those runs.
## Accessors
### creationMs
```ts
new Job(): Job
get creationMs(): null | number
```
When the job was created, in milliseconds since the epoch.
#### Returns
[`Job`](Job.md)
`null` \| `number`
## Accessors
***
### failure
```ts
get failure(): null | JobFailureInfo
```
Why the job failed, when it failed and the server reports a reason.
#### Returns
`null` \| [`JobFailureInfo`](../interfaces/JobFailureInfo.md)
***
### id
@@ -28,8 +55,69 @@ new Job(): Job
get id(): null | string
```
Identifies the operation on the server that is running it. Operations
that run in this process have no server id. The value is opaque.
Identifies the operation on the server that is running it.
Operations that run in this process have no server id. The value is
opaque: parsing it or storing it to resume the job later is not supported.
#### Returns
`null` \| `string`
***
### jobType
```ts
get jobType(): null | string
```
The job's type, as the server names it. Null for an in-process job, which
has no server-side record.
#### Returns
`null` \| `string`
***
### result
```ts
get result(): any
```
The job-type-specific terminal result. Null until the job succeeds, so a
job that never terminates reports its progress through [Job.events](Job.md#events)
instead.
#### Returns
`any`
***
### spec
```ts
get spec(): any
```
The job-type-specific specification it was submitted with.
#### Returns
`any`
***
### state
```ts
get state(): null | string
```
The last observed lifecycle state, without contacting the backend.
#### Returns
@@ -51,18 +139,61 @@ Request cancellation. Cancelling a finished operation is a no-op.
***
### events()
```ts
events(options?): Promise<Table<any>>
```
This job's recorded lifecycle events.
Where the getters above report a terminal result only once the job reaches
one, events are written as the job runs and outlive the workers that
produced them. A distributed job records a `claim`/`claim_complete` pair
per unit of work, each carrying `rows_processed`, so a job that never
finishes still accounts for what it did.
The server caps results at 1000 rows by default and 10,000 at most, and
truncates without saying so, so pass `limit` for a job that emits an event
per fragment. `filter` is a SQL-like expression over the `state`,
`updated_by`, `emitted_from`, `emitted_by`, and `claim_entity` columns.
#### Parameters
* **options?**: [`JobEventsOptions`](../interfaces/JobEventsOptions.md)
#### Returns
`Promise`&lt;`Table`&lt;`any`&gt;&gt;
***
### refresh()
```ts
refresh(): Promise<void>
```
Ask the backend for this job's current state, and for a server-side job
its full record, then cache it for the getters above.
#### Returns
`Promise`&lt;`void`&gt;
***
### status()
```ts
status(): Promise<string>
```
The operation's current lifecycle state: "running", "finished",
"failed", or "cancelled".
The operation's current lifecycle state: "running", "finished", "failed",
or "cancelled".
A point snapshot; unlike [Job.wait](Job.md#wait) it does not block or reject
on a terminal failure state. States a newer server reports that this
client version does not know pass through as-is.
A point snapshot; unlike [Job.wait](Job.md#wait) it does not block or reject on a
terminal failure state. Also refreshes the getters above.
#### Returns
@@ -70,6 +201,22 @@ client version does not know pass through as-is.
***
### toString()
```ts
toString(): string
```
Every field the handle currently knows, one per line, with the JSON
payloads indented -- a refresh job's spec and result are the point of
printing it.
#### Returns
`string`
***
### wait()
```ts
+8
View File
@@ -676,9 +676,17 @@ List all the versions of the table
abstract mergeInsert(on): MergeInsertBuilder
```
Create a [MergeInsertBuilder](MergeInsertBuilder.md), which combines new data with the
existing table in a single transaction — inserting, updating and deleting
rows depending on how they match.
#### Parameters
* **on**: `string` \| `string`[]
The column, or columns, to match source rows against target
rows on. Typically a key or id column. Several columns match on the
composite key: a source row updates a target row only when it agrees on
every one of them.
#### Returns
+1 -1
View File
@@ -96,7 +96,7 @@
- [IvfFlatOptions](interfaces/IvfFlatOptions.md)
- [IvfPqOptions](interfaces/IvfPqOptions.md)
- [IvfRqOptions](interfaces/IvfRqOptions.md)
- [JobDescription](interfaces/JobDescription.md)
- [JobEventsOptions](interfaces/JobEventsOptions.md)
- [JobFailureInfo](interfaces/JobFailureInfo.md)
- [JobInfo](interfaces/JobInfo.md)
- [ListNamespacesOptions](interfaces/ListNamespacesOptions.md)
-66
View File
@@ -1,66 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / JobDescription
# Interface: JobDescription
A described job from `Connection.getJob`.
## Properties
### creationMs
```ts
creationMs: number;
```
When the job was created, in milliseconds since the epoch.
***
### failure?
```ts
optional failure: JobFailureInfo;
```
Why the job failed, when the job is failed and the server reports a
reason.
***
### jobId
```ts
jobId: string;
```
***
### jobType
```ts
jobType: string;
```
***
### specJson?
```ts
optional specJson: string;
```
The job-type-specific specification as a JSON string, when present.
***
### state
```ts
state: string;
```
Lifecycle state: "running", "finished", "failed", or "cancelled".
@@ -0,0 +1,29 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / JobEventsOptions
# Interface: JobEventsOptions
Which of a job's events [Job.events](../classes/Job.md#events) returns.
## Properties
### filter?
```ts
optional filter: string;
```
SQL-like filter over the event columns.
***
### limit?
```ts
optional limit: number;
```
Maximum event rows to return, up to the server maximum of 10,000.
+1 -1
View File
@@ -26,7 +26,7 @@ When the job was created, in milliseconds since the epoch.
jobId: string;
```
The job id -- what `Connection.getJob` and `Connection.cancelJob`
The job id -- what `Connection.openJob` and `Connection.cancelJob`
accept.
***
@@ -50,6 +50,16 @@ projections: [string, string][];
***
### sourceNamespace
```ts
sourceNamespace: string[];
```
Namespace holding the source table; empty is the root namespace.
***
### sourceTable
```ts
+77
View File
@@ -28,6 +28,59 @@ is also an [asynchronous API client](#connections-asynchronous).
::: lancedb.Session
## Remote SQL
Submit SQL against a remote LanceDB database through the connection.
The connected database and `default_namespace_path=["public"]` are used for
unqualified tables. Fully qualified references can still query other databases
and namespaces available to the same deployment. `execute_query` returns a
reader as soon as its initial result stream is available. `execute_query_async`
returns a query handle immediately; use it to inspect progress, open a reader,
or cancel the query. The SQL client is initialized by the first query and
retained for the lifetime of the remote connection. Query ids are random,
connection-scoped references rather than encoded SQL or durable resume tokens:
```python
import lancedb
db = lancedb.connect(
"db://analytics",
api_key="ldb_...",
host_override="https://api.example.com",
sql_host_override="grpc+tls://sql.example.com:10026",
)
reader = db.execute_query(
"""
SELECT events.id, accounts.name
FROM analytics.public.events AS events
JOIN users.public.accounts AS accounts ON events.user_id = accounts.id
""",
default_namespace_path=["public"],
)
for batch in reader:
print(batch.num_rows)
query = db.execute_query_async("SELECT * FROM events")
print(query.id)
print(query.describe().status)
for batch in query.reader():
print(batch.num_rows)
# The async connection exposes the same lifecycle without blocking:
# async_db = await lancedb.connect_async(
# "db://analytics",
# api_key="ldb_...",
# host_override="https://api.example.com",
# sql_host_override="grpc+tls://sql.example.com:10026",
# )
# reader = await async_db.execute_query("SELECT * FROM events")
# query = await async_db.execute_query_async("SELECT * FROM events")
# description = await async_db.describe_query(query.id)
# async for batch in await query.reader():
# print(batch.num_rows)
# await query.cancel()
```
## Namespaces (Synchronous)
A namespace-backed connection resolves tables through a
@@ -72,6 +125,10 @@ listing a storage directory.
::: lancedb.functions.UdfDefinition
::: lancedb.secrets.EnvVarSecret
::: lancedb.secrets.SecretInfo
::: lancedb.functions.FunctionRegistrationRequest
::: lancedb.functions.FunctionArtifactRequest
@@ -94,6 +151,8 @@ listing a storage directory.
::: lancedb.functions.OutputMapping
::: lancedb.functions.AssignmentMapping
::: lancedb.functions.FunctionBinding
::: lancedb.functions.RefreshColumnResult
@@ -102,6 +161,18 @@ listing a storage directory.
::: lancedb.job.AsyncJob
::: lancedb.job.JobInfo
::: lancedb.job.JobDescription
::: lancedb.job.JobFailureInfo
::: lancedb.sql.Query
::: lancedb.sql.AsyncQuery
::: lancedb.sql.QueryDescription
## Materialized Views (Synchronous)
::: lancedb.materialized_view.MaterializedView
@@ -249,6 +320,12 @@ still work. Queries return descriptors. Call
::: lancedb.exceptions.MissingColumnError
::: lancedb.exceptions.JobNotFoundError
::: lancedb.exceptions.JobFailedError
::: lancedb.exceptions.JobCancelledError
## Integrations
## Pydantic
+1 -1
View File
@@ -8,7 +8,7 @@
<parent>
<groupId>com.lancedb</groupId>
<artifactId>lancedb-parent</artifactId>
<version>0.38.0-beta.15</version>
<version>0.39.0-beta.4</version>
<relativePath>../pom.xml</relativePath>
</parent>
+2 -2
View File
@@ -6,7 +6,7 @@
<groupId>com.lancedb</groupId>
<artifactId>lancedb-parent</artifactId>
<version>0.38.0-beta.15</version>
<version>0.39.0-beta.4</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>12.0.0-beta.5</lance-core.version>
<lance-core.version>12.0.0-beta.14</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>
+1 -1
View File
@@ -1,7 +1,7 @@
[package]
name = "lancedb-nodejs"
edition.workspace = true
version = "0.38.0-beta.15"
version = "0.39.0-beta.4"
publish = false
license.workspace = true
description.workspace = true
+22
View File
@@ -48,6 +48,28 @@ describe("materialized views", () => {
expect(definitionFromMetadata(safe, "v").limit).toBe(42);
});
it("reads the namespaced select kind and refuses unknown kinds", () => {
// "namespaced_select" is the namespaced form of "select": same shape, a
// separate kind so readers that predate it refuse instead of resolving
// the source at the root.
const namespaced = new Map([
[
DEFINITION_META_KEY,
'{"kind":"namespaced_select","source_table":"people","source_namespace":["ns"]}',
],
]);
const definition = definitionFromMetadata(namespaced, "v");
expect(definition.sourceTable).toBe("people");
expect(definition.sourceNamespace).toEqual(["ns"]);
const unknown = new Map([
[DEFINITION_META_KEY, '{"kind":"select_v3","source_table":"people"}'],
]);
expect(() => definitionFromMetadata(unknown, "v")).toThrow(
/cannot refresh/,
);
});
it("creates, refreshes and queries a view", async () => {
const view = await db.createMaterializedView("adults", "people", {
select: ["name", ["shout", "upper(name)"]],
+66 -11
View File
@@ -939,6 +939,7 @@ describe("remote connection jobs surface", () => {
const { tableFromArrays, tableToIPC } = await import("apache-arrow");
const eventsTable = tableFromArrays({ state: ["created", "succeeded"] });
const eventsBody = Buffer.from(tableToIPC(eventsTable, "stream"));
const queryEventsPayloads: Record<string, unknown>[] = [];
await withMockDatabase(
(req, res) => {
@@ -967,6 +968,16 @@ describe("remote connection jobs surface", () => {
);
}
} else if (req.url === "/v1/jobs/describe") {
if (payload["job_id"] === "job-2") {
res
.writeHead(200, { "Content-Type": "application/json" })
.end(
'{"job_id": "job-2", "job_type": "refresh_column", ' +
'"job_state": "DONE", "creation_ms": 2000, ' +
'"result": {"rows_assigned": 1000000}}',
);
return;
}
if (payload["job_id"] !== "job-1") {
res.writeHead(404).end("no such job");
return;
@@ -988,6 +999,7 @@ describe("remote connection jobs surface", () => {
.writeHead(200, { "Content-Type": "application/json" })
.end('{"job_id": "job-1"}');
} else if (req.url === "/v1/jobs/query_events") {
queryEventsPayloads.push(payload);
res
.writeHead(200, {
"Content-Type": "application/vnd.apache.arrow.stream",
@@ -1004,22 +1016,65 @@ describe("remote connection jobs surface", () => {
expect(jobs[0].state).toEqual("running");
expect(jobs[1].state).toEqual("finished");
const description = await db.getJob("job-1");
expect(description?.state).toEqual("failed");
expect(JSON.parse(description?.specJson ?? "")).toEqual({
column: "vec",
});
expect(description?.failure?.message).toEqual("worker died");
expect(await db.getJob("missing")).toBeNull();
expect(await db.cancelJob("job-1")).toBe(true);
expect(await db.cancelJob("missing")).toBe(false);
const history = await db.jobHistory("job-1");
expect(history.numRows).toEqual(2);
// Opening a job hands back a populated handle; a missing one rejects.
await expect(db.openJob("missing")).rejects.toThrow("not found");
const finished = await db.openJob("job-2");
expect(finished.state).toEqual("finished");
expect(finished.result).toEqual({
// biome-ignore lint/style/useNamingConvention: snake_case mandated by the server wire format
rows_assigned: 1000000,
});
const job = db.job("job-1");
const job = await db.openJob("job-1");
expect(job.id).toEqual("job-1");
// openJob already populated the handle; refresh() re-reads it.
expect(job.state).toEqual("failed");
await job.refresh();
expect(job.state).toEqual("failed");
expect(job.jobType).toEqual("create_index");
expect(job.creationMs).toEqual(1000);
expect(job.spec).toEqual({ column: "vec" });
expect(job.result).toBeNull();
expect(job.failure?.message).toEqual("worker died");
// The handle reaches its own events, supplying its job id.
const jobEvents = await job.events({
limit: 500,
filter: "state = 'claim_complete'",
});
expect(jobEvents.numRows).toEqual(2);
expect(queryEventsPayloads.pop()).toEqual({
// biome-ignore lint/style/useNamingConvention: snake_case mandated by the server wire format
job_id: "job-1",
limit: 500,
filter: "state = 'claim_complete'",
});
// Printing lays every known field out on its own line, with the JSON
// payloads indented rather than crammed onto one line.
expect(`${job}`).toEqual(
[
"Job(",
' id="job-1",',
' state="failed",',
' jobType="create_index",',
" creationMs=1000,",
" spec={",
' "column": "vec"',
" },",
" failure={",
' "phase": "execute",',
' "message": "worker died",',
' "retryable": true',
" },",
")",
].join("\n"),
);
expect(await job.status()).toEqual("failed");
await expect(job.wait()).rejects.toThrow("worker died");
},
+34 -1
View File
@@ -737,11 +737,12 @@ it("should query documents with LangChain PDF metadata", async () => {
describe("merge insert", () => {
let tmpDir: tmp.DirResult;
let conn: Connection;
let table: Table;
beforeEach(async () => {
tmpDir = tmp.dirSync({ unsafeCleanup: true });
const conn = await connect(tmpDir.name);
conn = await connect(tmpDir.name);
table = await conn.createTable("some_table", [
{ a: 1, b: "a" },
@@ -779,6 +780,38 @@ describe("merge insert", () => {
expect(result.map((row) => ({ ...row }))).toEqual(expected);
});
test("upsert on a composite key", async () => {
const composite = await conn.createTable("composite", [
{ shard: "a", id: 1, val: "x" },
{ shard: "a", id: 2, val: "y" },
{ shard: "b", id: 1, val: "z" },
]);
// ("a", 1) matches an existing row and updates it. ("b", 2) agrees with an
// existing row on each key column separately but on neither pair, so it is
// an insert.
const mergeInsertRes = await composite
.mergeInsert(["shard", "id"])
.whenMatchedUpdateAll()
.whenNotMatchedInsertAll()
.execute([
{ shard: "a", id: 1, val: "X" },
{ shard: "b", id: 2, val: "W" },
]);
expect(mergeInsertRes.numUpdatedRows).toBe(1);
expect(mergeInsertRes.numInsertedRows).toBe(1);
const result = (await composite.toArrow())
.toArray()
.sort((a, b) => a.shard.localeCompare(b.shard) || a.id - b.id);
expect(result.map((row) => ({ ...row }))).toEqual([
{ shard: "a", id: 1, val: "X" },
{ shard: "a", id: 2, val: "y" },
{ shard: "b", id: 1, val: "z" },
{ shard: "b", id: 2, val: "W" },
]);
});
test("conditional update", async () => {
const newData = [
{ a: 2, b: "x" },
+11 -37
View File
@@ -1,7 +1,6 @@
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
import { tableFromIPC } from "apache-arrow";
import {
Data,
SchemaLike,
@@ -16,6 +15,7 @@ import {
makeEmptyTable,
} from "./arrow";
import { EmbeddingFunctionConfig, getRegistry } from "./embedding/registry";
import { Job } from "./job";
import {
MaterializedView,
MaterializedViewSelect,
@@ -27,8 +27,6 @@ import type {
CreateNamespaceResponse,
DescribeNamespaceResponse,
DropNamespaceResponse,
Job,
JobDescription,
JobInfo,
ListNamespacesResponse,
ListTablesResponse,
@@ -557,24 +555,19 @@ export abstract class Connection {
): Promise<void>;
/**
* A {@link Job} handle for a server-side job by id.
* Open a server-side job by id, returning a handle with its record already
* populated. Rejects when the server has no such job, the way
* {@link Connection.openTable} does for a missing table.
*
* The handle is constructed without a server round trip; an unknown id
* surfaces when the handle is used. Dropping the handle has no effect on
* the job itself.
* The returned {@link Job} answers for its own state, specification,
* result, failure and event history, so there is no separate
* connection-level call for any of them.
*/
abstract job(jobId: string): Job;
abstract openJob(jobId: string): Promise<Job>;
/** List server-side jobs across the database's tables. */
abstract listJobs(): Promise<JobInfo[]>;
/**
* Describe a single server-side job by id.
*
* Resolves to `null` when the server has no such job.
*/
abstract getJob(jobId: string): Promise<JobDescription | null>;
/**
* Request cancellation of a server-side job by id.
*
@@ -582,13 +575,6 @@ export abstract class Connection {
* such job exists. Cancelling an already-terminal job is a no-op success.
*/
abstract cancelJob(jobId: string): Promise<boolean>;
/**
* The lifecycle event history of a server-side job, as an Arrow table.
*
* Lists history across all jobs when `jobId` is omitted.
*/
abstract jobHistory(jobId?: string): Promise<ArrowTable>;
}
/** @hideconstructor */
@@ -869,7 +855,7 @@ export class LocalConnection extends Connection {
}
async dropTableAsync(name: string, namespacePath?: string[]): Promise<Job> {
return this.inner.dropTableAsync(name, namespacePath ?? []);
return new Job(await this.inner.dropTableAsync(name, namespacePath ?? []));
}
async dropAllTables(namespacePath?: string[]): Promise<void> {
@@ -928,29 +914,17 @@ export class LocalConnection extends Connection {
);
}
job(jobId: string): Job {
return this.inner.job(jobId);
async openJob(jobId: string): Promise<Job> {
return new Job(await this.inner.openJob(jobId));
}
async listJobs(): Promise<JobInfo[]> {
return this.inner.listJobs();
}
async getJob(jobId: string): Promise<JobDescription | null> {
return this.inner.getJob(jobId);
}
async cancelJob(jobId: string): Promise<boolean> {
return this.inner.cancelJob(jobId);
}
async jobHistory(jobId?: string): Promise<ArrowTable> {
const buf = await this.inner.jobHistory(jobId);
if (buf.length === 0) {
return new ArrowTable();
}
return tableFromIPC(buf);
}
}
/**
+3 -7
View File
@@ -94,13 +94,9 @@ export {
RenameTableOptions,
} from "./connection";
export {
Job,
JobDescription,
JobFailureInfo,
JobInfo,
Session,
} from "./native.js";
export { JobFailureInfo, JobInfo, Session } from "./native.js";
export { Job, JobEventsOptions } from "./job";
export {
AutoQuery,
+188
View File
@@ -0,0 +1,188 @@
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
import { Table as ArrowTable, tableFromIPC } from "apache-arrow";
import { JobFailureInfo, Job as NativeJob } from "./native";
/** Which of a job's events {@link Job.events} returns. */
export interface JobEventsOptions {
/** Maximum event rows to return, up to the server maximum of 10,000. */
limit?: number;
/** SQL-like filter over the event columns. */
filter?: string;
}
/**
* A handle to an operation that may still be running.
*
* The operation may already be complete when the handle is created.
*
* The detail getters read what the handle last observed. Submitting an
* operation returns only a job id, so populating them eagerly would cost an
* extra round trip on every call:
*
* - {@link Job.refresh} and {@link Job.status} fetch the whole record.
* - {@link Job.wait} records the terminal state it establishes, but not the
* rest of the record.
* - Everything is null until one of those runs.
*
* @hideconstructor
*/
export class Job {
private readonly inner: NativeJob;
constructor(inner: NativeJob) {
this.inner = inner;
}
/**
* Identifies the operation on the server that is running it.
*
* Operations that run in this process have no server id. The value is
* opaque: parsing it or storing it to resume the job later is not supported.
*/
get id(): string | null {
return this.inner.id ?? null;
}
/** The last observed lifecycle state, without contacting the backend. */
get state(): string | null {
return this.inner.state ?? null;
}
/**
* The job's type, as the server names it. Null for an in-process job, which
* has no server-side record.
*/
get jobType(): string | null {
return this.inner.jobType ?? null;
}
/** When the job was created, in milliseconds since the epoch. */
get creationMs(): number | null {
return this.inner.creationMs ?? null;
}
/** The job-type-specific specification it was submitted with. */
// biome-ignore lint/suspicious/noExplicitAny: shape varies by job type
get spec(): any | null {
return parseJson(this.inner.specJson);
}
/**
* The job-type-specific terminal result. Null until the job succeeds, so a
* job that never terminates reports its progress through {@link Job.events}
* instead.
*/
// biome-ignore lint/suspicious/noExplicitAny: shape varies by job type
get result(): any | null {
return parseJson(this.inner.resultJson);
}
/** Why the job failed, when it failed and the server reports a reason. */
get failure(): JobFailureInfo | null {
return this.inner.failure ?? null;
}
/**
* The operation's current lifecycle state: "running", "finished", "failed",
* or "cancelled".
*
* A point snapshot; unlike {@link Job.wait} it does not block or reject on a
* terminal failure state. Also refreshes the getters above.
*/
async status(): Promise<string> {
return this.inner.status();
}
/** Wait until the operation reaches a terminal state. */
async wait(): Promise<void> {
return this.inner.wait();
}
/** Request cancellation. Cancelling a finished operation is a no-op. */
async cancel(): Promise<void> {
return this.inner.cancel();
}
/**
* Ask the backend for this job's current state, and for a server-side job
* its full record, then cache it for the getters above.
*/
async refresh(): Promise<void> {
return this.inner.refresh();
}
/**
* This job's recorded lifecycle events.
*
* Where the getters above report a terminal result only once the job reaches
* one, events are written as the job runs and outlive the workers that
* produced them. A distributed job records a `claim`/`claim_complete` pair
* per unit of work, each carrying `rows_processed`, so a job that never
* finishes still accounts for what it did.
*
* The server caps results at 1000 rows by default and 10,000 at most, and
* truncates without saying so, so pass `limit` for a job that emits an event
* per fragment. `filter` is a SQL-like expression over the `state`,
* `updated_by`, `emitted_from`, `emitted_by`, and `claim_entity` columns.
*/
async events(options?: JobEventsOptions): Promise<ArrowTable> {
const buf = await this.inner.events(options?.limit, options?.filter);
if (buf.length === 0) {
return new ArrowTable();
}
return tableFromIPC(buf);
}
/**
* Every field the handle currently knows, one per line, with the JSON
* payloads indented -- a refresh job's spec and result are the point of
* printing it.
*/
toString(): string {
if (this.state === null) {
const known = this.id === null ? "" : `id=${JSON.stringify(this.id)}, `;
return `Job(${known}not refreshed)`;
}
const fields: string[] = [];
if (this.id !== null) {
fields.push(`id=${JSON.stringify(this.id)}`);
}
fields.push(`state=${JSON.stringify(this.state)}`);
if (this.jobType !== null) {
fields.push(`jobType=${JSON.stringify(this.jobType)}`);
}
if (this.creationMs !== null) {
fields.push(`creationMs=${this.creationMs}`);
}
for (const [name, value] of [
["spec", this.spec],
["result", this.result],
] as const) {
if (value !== null) {
fields.push(`${name}=${indentJson(value)}`);
}
}
if (this.failure !== null) {
fields.push(`failure=${indentJson(this.failure)}`);
}
return `Job(${fields.map((field) => `\n${REPR_INDENT}${field},`).join("")}\n)`;
}
[Symbol.for("nodejs.util.inspect.custom")](): string {
return this.toString();
}
}
const REPR_INDENT = " ";
// biome-ignore lint/suspicious/noExplicitAny: shape varies by job type
function indentJson(value: any): string {
return JSON.stringify(value, null, 4).replace(/\n/g, `\n${REPR_INDENT}`);
}
// biome-ignore lint/suspicious/noExplicitAny: shape varies by job type
function parseJson(raw: string | null | undefined): any | null {
return raw === null || raw === undefined ? null : JSON.parse(raw);
}
+5 -1
View File
@@ -19,6 +19,8 @@ export interface MaterializedViewDefinition {
limit?: number;
/** Source columns the projections and filter read. */
inputs: string[];
/** Namespace holding the source table; empty is the root namespace. */
sourceNamespace: string[];
}
/**
@@ -78,7 +80,8 @@ export function definitionFromMetadata(
}
// biome-ignore lint/suspicious/noExplicitAny: raw JSON
const value: any = JSON.parse(raw);
if (value.kind !== "select") {
// "namespaced_select" keeps older readers from resolving the source at root.
if (value.kind !== "select" && value.kind !== "namespaced_select") {
throw new Error(
`materialized view '${name}' is defined by '${value.kind}', which this ` +
"version of lancedb cannot refresh",
@@ -103,6 +106,7 @@ export function definitionFromMetadata(
filter: value.filter ?? undefined,
limit,
inputs: value.inputs ?? [],
sourceNamespace: value.source_namespace ?? [],
};
}
+21 -9
View File
@@ -19,6 +19,7 @@ import {
import { EmbeddingFunctionConfig, getRegistry } from "./embedding/registry";
import { IndexOptions } from "./indices";
import { Job } from "./job";
import { MergeInsertBuilder } from "./merge";
import {
AddColumnsResult,
@@ -30,7 +31,6 @@ import {
DropColumnsResult,
IndexConfig,
IndexStatistics,
Job,
LsmStats,
Branches as NativeBranches,
OptimizeStats,
@@ -919,6 +919,16 @@ export abstract class Table {
/** Return the table as an arrow table */
abstract toArrow(): Promise<ArrowTable>;
/**
* Create a {@link MergeInsertBuilder}, which combines new data with the
* existing table in a single transaction — inserting, updating and deleting
* rows depending on how they match.
*
* @param on - The column, or columns, to match source rows against target
* rows on. Typically a key or id column. Several columns match on the
* composite key: a source row updates a target row only when it agrees on
* every one of them.
*/
abstract mergeInsert(on: string | string[]): MergeInsertBuilder;
/** List all the stats of a specified index
@@ -1114,13 +1124,15 @@ export class LocalTable extends Table {
): Promise<Job> {
// biome-ignore lint/suspicious/noExplicitAny: skip
const nativeIndex = (options?.config as any)?.inner;
return await this.inner.createIndexAsync(
nativeIndex,
column,
options?.replace,
options?.waitTimeoutSeconds,
options?.name,
options?.train,
return new Job(
await this.inner.createIndexAsync(
nativeIndex,
column,
options?.replace,
options?.waitTimeoutSeconds,
options?.name,
options?.train,
),
);
}
@@ -1303,7 +1315,7 @@ export class LocalTable extends Table {
}
async refreshColumnAsync(column: string): Promise<Job> {
return await this.inner.refreshColumnAsync(column);
return new Job(await this.inner.refreshColumnAsync(column));
}
async refreshMaterializedView(
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-darwin-arm64",
"version": "0.38.0-beta.15",
"version": "0.39.0-beta.4",
"os": ["darwin"],
"cpu": ["arm64"],
"main": "lancedb.darwin-arm64.node",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-arm64-gnu",
"version": "0.38.0-beta.15",
"version": "0.39.0-beta.4",
"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": "0.38.0-beta.15",
"version": "0.39.0-beta.4",
"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": "0.38.0-beta.15",
"version": "0.39.0-beta.4",
"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": "0.38.0-beta.15",
"version": "0.39.0-beta.4",
"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": "0.38.0-beta.15",
"version": "0.39.0-beta.4",
"os": [
"win32"
],
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-win32-x64-msvc",
"version": "0.38.0-beta.15",
"version": "0.39.0-beta.4",
"os": ["win32"],
"cpu": ["x64"],
"main": "lancedb.win32-x64-msvc.node",
+3 -3
View File
@@ -11,7 +11,7 @@
"ann"
],
"private": false,
"version": "0.38.0-beta.15",
"version": "0.39.0-beta.4",
"main": "dist/index.js",
"exports": {
".": "./dist/index.js",
@@ -44,7 +44,7 @@
"@biomejs/biome": "^1.7.3",
"@jest/globals": "^29.7.0",
"@napi-rs/cli": "3.7.0",
"@opentelemetry/sdk-metrics": "^1.30.0",
"@opentelemetry/sdk-metrics": "^2.10.0",
"@types/axios": "^0.14.0",
"@types/jest": "^29.1.2",
"@types/node": "22.7.4",
@@ -56,7 +56,7 @@
"eslint": "^8.57.0",
"jest": "^29.7.0",
"shx": "^0.3.4",
"tmp": "^0.2.3",
"tmp": "^0.2.7",
"ts-jest": "^29.1.2",
"typedoc": "0.26.4",
"typedoc-plugin-markdown": "4.2.1",
+600 -444
View File
File diff suppressed because it is too large Load Diff
+38
View File
@@ -16,3 +16,41 @@ allowBuilds:
onnxruntime-node: true
protobufjs: true
sharp: true
minimumReleaseAgeExclude:
- protobufjs@7.5.8
- tmp@0.2.6
- form-data@4.0.6
- tar@7.5.16
- markdown-it@14.1.2
- linkify-it@5.0.1
- js-yaml@3.15.0
- js-yaml@4.1.2
- protobufjs@7.6.1
- protobufjs@7.6.3
- '@babel/core@7.29.1'
- axios@1.18.0
- brace-expansion@2.1.2
- brace-expansion@1.1.16
- js-yaml@4.3.0
- tar@7.5.18
- tar@7.5.19
- tar@7.5.17
- protobufjs@7.6.5
- linkify-it@5.0.2
- sharp@0.35.0
- brace-expansion@1.1.17
- brace-expansion@2.1.3
- brace-expansion@2.1.4
- brace-expansion@1.1.18
- js-yaml@3.15.1
- js-yaml@4.3.1
- tar@7.5.21
- '@opentelemetry/core@2.8.0'
# @huggingface/transformers pins sharp ^0.33.5 and no released version has moved
# past ^0.34.5, all of which inherit the libvips CVEs in GHSA-f88m-g3jw-g9cj.
# Force the patched line. sharp is only reached by transformers' image pipeline,
# which LanceDB's text embedding function never uses.
overrides:
sharp: ^0.35.4
+8 -45
View File
@@ -442,13 +442,15 @@ impl Connection {
self.get_inner()?.drop_all_tables(&ns).await.default_error()
}
/// A `Job` handle for a server-side job by id.
/// Open a server-side job by id, returning a handle with its record
/// already populated. Rejects when the server has no such job.
///
/// The handle is constructed without a server round trip; an unknown id
/// surfaces when the handle is used.
#[napi]
pub fn job(&self, job_id: String) -> napi::Result<crate::job::Job> {
let job = self.get_inner()?.job(job_id).default_error()?;
/// The returned handle answers for its own state, specification, result,
/// failure and event history, so there is no separate connection-level
/// call for any of them.
#[napi(catch_unwind)]
pub async fn open_job(&self, job_id: String) -> napi::Result<crate::job::Job> {
let job = self.get_inner()?.open_job(&job_id).await.default_error()?;
Ok(crate::job::Job::new(job))
}
@@ -459,17 +461,6 @@ impl Connection {
Ok(jobs.into_iter().map(Into::into).collect())
}
/// Describe a single server-side job by id. `null` when the server has
/// no such job.
#[napi(catch_unwind)]
pub async fn get_job(
&self,
job_id: String,
) -> napi::Result<Option<crate::job::JobDescription>> {
let description = self.get_inner()?.get_job(&job_id).await.default_error()?;
Ok(description.map(Into::into))
}
/// Request cancellation of a server-side job by id. Returns true if the
/// server accepted the cancellation, false if no such job exists.
#[napi(catch_unwind)]
@@ -477,34 +468,6 @@ impl Connection {
self.get_inner()?.cancel_job(&job_id).await.default_error()
}
/// The lifecycle event history of a server-side job (all jobs when
/// `job_id` is null), as an Arrow IPC stream buffer. Empty when there is
/// no history.
#[napi(catch_unwind)]
pub async fn job_history(&self, job_id: Option<String>) -> napi::Result<Buffer> {
let batches = self
.get_inner()?
.job_history(job_id.as_deref())
.await
.default_error()?;
let Some(first) = batches.first() else {
return Ok(Buffer::from(Vec::<u8>::new()));
};
let mut out = Vec::new();
let mut writer = arrow_ipc::writer::StreamWriter::try_new(&mut out, &first.schema())
.map_err(|e| napi::Error::from_reason(e.to_string()))?;
for batch in &batches {
writer
.write(batch)
.map_err(|e| napi::Error::from_reason(e.to_string()))?;
}
writer
.finish()
.map_err(|e| napi::Error::from_reason(e.to_string()))?;
drop(writer);
Ok(Buffer::from(out))
}
#[napi(catch_unwind)]
/// Describe a namespace and return its properties.
pub async fn describe_namespace(
+90 -34
View File
@@ -3,6 +3,9 @@
use std::sync::Arc;
use arrow_array::RecordBatch;
use lancedb::job::JobEventsRequest;
use napi::bindgen_prelude::Buffer;
use napi_derive::napi;
use crate::error::NapiErrorExt;
@@ -55,12 +58,98 @@ impl Job {
pub async fn cancel(&self) -> napi::Result<()> {
self.inner.cancel().await.default_error()
}
/// Ask the backend for this job's current state, and for a server-side job
/// its full record, then cache it for the getters below.
///
/// They are all null until this runs, because submitting an operation
/// returns only a job id. {@link Job.status} fetches the whole record too;
/// {@link Job.wait} records only the terminal state it establishes.
#[napi(catch_unwind)]
pub async fn refresh(&self) -> napi::Result<()> {
self.inner.refresh().await.default_error()
}
/// The last observed lifecycle state, without contacting the backend.
#[napi(getter)]
pub fn state(&self) -> Option<String> {
self.inner.state()
}
/// The job's type, as the server names it. Null for an in-process job,
/// which has no server-side record.
#[napi(getter)]
pub fn job_type(&self) -> Option<String> {
self.inner.job_type()
}
/// When the job was created, in milliseconds since the epoch.
#[napi(getter)]
pub fn creation_ms(&self) -> Option<i64> {
self.inner.creation_ms()
}
/// The job-type-specific specification as a JSON string, when present.
#[napi(getter)]
pub fn spec_json(&self) -> Option<String> {
self.inner.spec().map(|spec| spec.to_string())
}
/// The job-type-specific terminal result as a JSON string. Null until the
/// job succeeds, so a job that never terminates reports its progress
/// through {@link Job.events} instead.
#[napi(getter)]
pub fn result_json(&self) -> Option<String> {
self.inner.result().map(|result| result.to_string())
}
/// Why the job failed, when it failed and the server reports a reason.
#[napi(getter)]
pub fn failure(&self) -> Option<JobFailureInfo> {
self.inner.failure().map(|failure| JobFailureInfo {
phase: failure.phase,
message: failure.message,
retryable: failure.retryable,
})
}
/// This job's recorded lifecycle events, as an Arrow IPC stream buffer.
/// The TypeScript wrapper turns it into an Arrow table.
#[napi(catch_unwind)]
pub async fn events(&self, limit: Option<u32>, filter: Option<String>) -> napi::Result<Buffer> {
let batches = self
.inner
.events(JobEventsRequest { limit, filter })
.await
.default_error()?;
batches_to_ipc_buffer(&batches)
}
}
/// Serialise Arrow batches as a single IPC stream for the TypeScript layer.
fn batches_to_ipc_buffer(batches: &[RecordBatch]) -> napi::Result<Buffer> {
let Some(first) = batches.first() else {
return Ok(Buffer::from(Vec::<u8>::new()));
};
let mut out = Vec::new();
let mut writer = arrow_ipc::writer::StreamWriter::try_new(&mut out, &first.schema())
.map_err(|e| napi::Error::from_reason(e.to_string()))?;
for batch in batches {
writer
.write(batch)
.map_err(|e| napi::Error::from_reason(e.to_string()))?;
}
writer
.finish()
.map_err(|e| napi::Error::from_reason(e.to_string()))?;
drop(writer);
Ok(Buffer::from(out))
}
/// A row from `Connection.listJobs`: one server-side job.
#[napi(object)]
pub struct JobInfo {
/// The job id -- what `Connection.getJob` and `Connection.cancelJob`
/// The job id -- what `Connection.openJob` and `Connection.cancelJob`
/// accept.
pub job_id: String,
/// The table the job runs against, without URI or namespace.
@@ -91,36 +180,3 @@ pub struct JobFailureInfo {
pub message: Option<String>,
pub retryable: Option<bool>,
}
/// A described job from `Connection.getJob`.
#[napi(object)]
pub struct JobDescription {
pub job_id: String,
pub job_type: String,
/// Lifecycle state: "running", "finished", "failed", or "cancelled".
pub state: String,
/// When the job was created, in milliseconds since the epoch.
pub creation_ms: i64,
/// The job-type-specific specification as a JSON string, when present.
pub spec_json: Option<String>,
/// Why the job failed, when the job is failed and the server reports a
/// reason.
pub failure: Option<JobFailureInfo>,
}
impl From<lancedb::database::JobDescription> for JobDescription {
fn from(description: lancedb::database::JobDescription) -> Self {
Self {
job_id: description.job_id,
job_type: description.job_type,
state: description.state,
creation_ms: description.creation_ms,
spec_json: (!description.spec.is_null()).then(|| description.spec.to_string()),
failure: description.failure.map(|failure| JobFailureInfo {
phase: failure.phase,
message: failure.message,
retryable: failure.retryable,
}),
}
}
}
+5 -1
View File
@@ -664,7 +664,11 @@ impl JsFullTextQuery {
}
fn parse_fts_query(query: Object) -> napi::Result<FullTextSearchQuery> {
if let Ok(Some(query)) = query.get::<&JsFullTextQuery>("query") {
// `&JsFullTextQuery` recovers a native class reference through napi's borrow-tracked
// path, which is only usable from generated `#[napi]` argument conversion. This is a
// manual lookup on a nested `Object` property instead, so use `ClassInstance`, which
// unwraps the class without requiring a borrow scope.
if let Ok(Some(query)) = query.get::<ClassInstance<JsFullTextQuery>>("query") {
Ok(FullTextSearchQuery::new_query(query.inner.clone()))
} else if let Ok(Some(query_text)) = query.get::<String>("query") {
let mut query_text = query_text;
+3 -2
View File
@@ -1,6 +1,6 @@
[package]
name = "lancedb-python"
version = "0.38.0-beta.15"
version = "0.39.0-beta.4"
publish = false
edition.workspace = true
description = "Python bindings for LanceDB"
@@ -28,7 +28,7 @@ env_logger.workspace = true
log.workspace = true
# Maturin enables extension-module mode for Python builds. Keeping it out of
# Cargo features lets Rust unit tests link against libpython.
pyo3 = { version = "0.28", features = ["abi3-py310", "chrono"] }
pyo3 = { version = "0.28", features = ["abi3-py310", "chrono", "uuid"] }
chrono.workspace = true
pyo3-async-runtimes = { version = "0.28", features = [
"attributes",
@@ -40,6 +40,7 @@ serde.workspace = true
serde_json.workspace = true
snafu.workspace = true
tokio.workspace = true
uuid.workspace = true
libc = "0.2"
[build-dependencies]
+1
View File
@@ -139,6 +139,7 @@ include = [
"python/lancedb/exceptions.py",
"python/lancedb/background_loop.py",
"python/lancedb/schema.py",
"python/lancedb/sql.py",
"python/lancedb/remote/__init__.py",
"python/lancedb/remote/errors.py",
"python/lancedb/embeddings/__init__.py",
+20
View File
@@ -22,7 +22,11 @@ from .remote.db import RemoteDBConnection
from .expr import Expr, col, lit, func
from .schema import blob, vector
from .job import AsyncJob, Job
from .sql import AsyncQuery as AsyncSqlQuery
from .sql import Query as SqlQuery
from .sql import QueryDescription
from .functions import (
AssignmentMapping as AssignmentMapping,
FunctionArtifactRequest as FunctionArtifactRequest,
FunctionApplication as FunctionApplication,
FunctionBinding as FunctionBinding,
@@ -33,6 +37,8 @@ from .functions import (
UdfDefinition as UdfDefinition,
udf as udf,
)
from .secrets import EnvVarSecret as EnvVarSecret
from .secrets import SecretInfo as SecretInfo
from .materialized_view import (
AsyncMaterializedView,
MaterializedView,
@@ -101,6 +107,7 @@ def connect(
api_key: Optional[str] = None,
region: str = "us-east-1",
host_override: Optional[str] = None,
sql_host_override: Optional[str] = None,
read_consistency_interval: Optional[timedelta] = None,
request_thread_pool: Optional[Union[int, ThreadPoolExecutor]] = None,
client_config: Union[ClientConfig, Dict[str, Any], None] = None,
@@ -129,6 +136,9 @@ def connect(
The region to use for LanceDB Cloud.
host_override: str, optional
The override url for LanceDB Cloud.
sql_host_override: str, optional
The remote SQL service endpoint override. The client connects lazily when SQL
is first executed and retains that connection.
read_consistency_interval: timedelta, default None
The interval at which to check for updates to the table from other
processes. If None, then consistency is not checked. For performance
@@ -270,6 +280,7 @@ def connect(
api_key,
region,
host_override,
sql_host_override=sql_host_override,
# TODO: remove this (deprecation warning downstream)
request_thread_pool=request_thread_pool,
client_config=client_config,
@@ -412,6 +423,7 @@ def deserialize_conn(
parsed["api_key"],
parsed.get("region", "us-east-1"),
host_override=parsed.get("host_override"),
sql_host_override=parsed.get("sql_host_override"),
client_config=parsed.get("client_config"),
storage_options=storage_options,
)
@@ -425,6 +437,7 @@ async def connect_async(
api_key: Optional[str] = None,
region: str = "us-east-1",
host_override: Optional[str] = None,
sql_host_override: Optional[str] = None,
read_consistency_interval: Optional[timedelta] = None,
client_config: Optional[Union[ClientConfig, Dict[str, Any]]] = None,
storage_options: Optional[Dict[str, str]] = None,
@@ -447,6 +460,9 @@ async def connect_async(
The region to use for LanceDB Cloud.
host_override: str, optional
The override url for LanceDB Cloud.
sql_host_override: str, optional
The remote SQL service endpoint override. The client connects lazily when SQL
is first executed and retains that connection.
read_consistency_interval: timedelta, default None
The interval at which to check for updates to the table from other
processes. If None, then consistency is not checked. For performance
@@ -534,6 +550,7 @@ async def connect_async(
api_key,
region,
host_override,
sql_host_override,
read_consistency_interval_secs,
client_config,
storage_options,
@@ -556,6 +573,7 @@ __all__ = [
"connect_namespace_async",
"AsyncConnection",
"AsyncJob",
"AsyncSqlQuery",
"AsyncLanceNamespaceDBConnection",
"AsyncTable",
"FtsToken",
@@ -570,6 +588,8 @@ __all__ = [
"vector",
"DBConnection",
"Job",
"QueryDescription",
"SqlQuery",
"LanceDBConnection",
"LanceNamespaceDBConnection",
"LsmWriteSpec",
+59 -6
View File
@@ -1,6 +1,7 @@
from datetime import date, datetime, timedelta
from decimal import Decimal
from typing import Dict, List, Optional, Tuple, Any, TypedDict, Union, Literal
from uuid import UUID
import pyarrow as pa
@@ -147,15 +148,31 @@ class Connection(object):
start_after: Optional[str],
limit: Optional[int],
) -> list[str]: ... # Deprecated: Use list_tables instead
def job(self, job_id: str) -> Job: ...
async def open_job(self, job_id: str) -> Job: ...
async def create_function_async(self, request_json: str) -> Job: ...
async def get_function(self, name: str, version: str) -> str: ...
async def list_functions(self) -> List[str]: ...
async def drop_function(self, name: str, version: str) -> bool: ...
async def create_secret(
self, name: str, value: str, namespace_path: List[str]
) -> None: ...
async def alter_secret(
self, name: str, value: str, namespace_path: List[str]
) -> None: ...
async def list_secrets(self, namespace_path: List[str]) -> List[str]: ...
async def drop_secret(self, name: str, namespace_path: List[str]) -> None: ...
async def describe_secret(
self, name: str, namespace_path: List[str]
) -> Dict[str, str]: ...
async def list_jobs(self) -> List[JobInfo]: ...
async def get_job(self, job_id: str) -> Optional[JobDescription]: ...
async def cancel_job(self, job_id: str) -> bool: ...
async def job_history(
self, job_id: Optional[str] = None
) -> List[pa.RecordBatch]: ...
async def execute_query_async(
self,
query: str,
*,
default_namespace_path: Optional[List[str]] = None,
) -> SqlQuery: ...
async def describe_query(self, query_id: UUID) -> QueryDescription: ...
async def create_table(
self,
name: str,
@@ -234,9 +251,20 @@ class BlobFile:
class Job:
@property
def id(self) -> Optional[str]: ...
@property
def _state(self) -> Optional[str]: ...
@property
def _description(self) -> Optional[JobDescription]: ...
async def status(self) -> str: ...
async def wait(self) -> Optional[str]: ...
async def cancel(self) -> None: ...
async def refresh(self) -> None: ...
async def events(
self,
*,
limit: Optional[int] = None,
filter: Optional[str] = None,
) -> pa.Table: ...
class JobInfo:
@property
@@ -268,10 +296,33 @@ class JobDescription:
@property
def creation_ms(self) -> int: ...
@property
def spec_json(self) -> Optional[str]: ...
def _spec_json(self) -> Optional[str]: ...
@property
def _result_json(self) -> Optional[str]: ...
@property
def spec(self) -> Optional[Any]: ...
@property
def result(self) -> Optional[Any]: ...
@property
def failure(self) -> Optional[JobFailureInfo]: ...
class SqlQuery:
@property
def id(self) -> UUID: ...
async def describe(self) -> QueryDescription: ...
async def reader(self) -> RecordBatchStream: ...
async def cancel(self) -> None: ...
class QueryDescription:
@property
def id(self) -> UUID: ...
@property
def status(self) -> str: ...
@property
def progress(self) -> Optional[float]: ...
@property
def expires_at(self) -> Optional[datetime]: ...
class Table:
def name(self) -> str: ...
def __repr__(self) -> str: ...
@@ -450,6 +501,7 @@ async def connect(
api_key: Optional[str],
region: Optional[str],
host_override: Optional[str],
sql_host_override: Optional[str],
read_consistency_interval: Optional[float],
client_config: Optional[Union[ClientConfig, Dict[str, Any]]],
storage_options: Optional[Dict[str, str]],
@@ -606,6 +658,7 @@ class FullTextQuery:
class PyQueryRequest:
limit: Optional[int]
offset: Optional[int]
take_offsets: Optional[List[int]]
filter: Optional[Union[str, bytes]]
full_text_search: Optional[FullTextQuery]
select: Optional[Union[str, List[str]]]
+351 -73
View File
@@ -17,8 +17,10 @@ from typing import (
List,
Literal,
Optional,
Sequence,
Union,
)
from uuid import UUID
if sys.version_info >= (3, 12):
from typing import override
@@ -47,12 +49,21 @@ from . import __version__
from ._lancedb import connect as lancedb_connect # type: ignore
from .functions import FunctionVersion, UdfDefinition
from .job import AsyncJob, Job, _typed_job
from .sql import AsyncQuery as AsyncSqlQuery
from .sql import Query as SqlQuery
from .sql import QueryDescription
from .materialized_view import (
AsyncMaterializedView,
MaterializedView,
SelectArg,
normalize_select,
)
from .secrets import (
EnvVarSecret,
SecretInfo,
validate_namespace_path,
validate_secret_name,
)
from .table import (
AsyncTable,
LanceTable,
@@ -68,10 +79,11 @@ import deprecation
if TYPE_CHECKING:
import pyarrow as pa
from .arrow import AsyncRecordBatchReader
from .pydantic import LanceModel
from ._lancedb import Connection as LanceDbConnection
from ._lancedb import JobDescription, JobInfo
from ._lancedb import JobInfo
from .common import DATA, URI
from .embeddings import EmbeddingFunctionConfig
from ._lancedb import Session
@@ -687,15 +699,47 @@ class DBConnection(EnforceOverrides):
"""
raise NotImplementedError("serialize is not supported for this connection type")
def create_function(self, definition: UdfDefinition) -> FunctionVersion:
def create_function(
self,
definition: UdfDefinition,
*,
secrets: Optional[Sequence[EnvVarSecret]] = None,
) -> FunctionVersion:
"""Register a scalar Python UDF and wait for its immutable version.
This is the blocking counterpart of :meth:`create_function_async`.
Local connections raise ``NotImplementedError``.
"""
return self.create_function_async(definition).wait()
def create_function_async(self, definition: UdfDefinition) -> Job[FunctionVersion]:
Parameters
----------
definition : UdfDefinition
A callable decorated with [udf][lancedb.udf].
secrets : sequence of EnvVarSecret, optional
One [EnvVarSecret][lancedb.secrets.EnvVarSecret] per credential the
Function needs, each naming a Secret and the environment variable
its value arrives in. The Function's source is unchanged by this;
it reads the variable the way it already did.
Examples
--------
```python
db.create_secret("openai-prod", os.environ["OPENAI_API_KEY"])
db.create_function(
analyze_caption,
secrets=[
EnvVarSecret(secret="openai-prod", env_variable="OPENAI_API_KEY")
],
)
```
"""
return self.create_function_async(definition, secrets=secrets).wait()
def create_function_async(
self,
definition: UdfDefinition,
*,
secrets: Optional[Sequence[EnvVarSecret]] = None,
) -> Job[FunctionVersion]:
"""Register a scalar Python UDF through the remote Function catalog.
Submission returns a typed job. The immutable Function version becomes
@@ -712,26 +756,115 @@ class DBConnection(EnforceOverrides):
"Function catalog operations are not supported for this connection type"
)
def job(self, job_id: str) -> Job:
"""A [Job][lancedb.job.Job] handle for a server-side job by id.
def list_functions(self) -> List[FunctionVersion]:
"""List every published immutable Function version.
The handle is constructed without a server round trip; an unknown id
surfaces when the handle is used. Dropping the handle has no effect
on the job itself.
Results are ordered by Function name then version. Local connections
raise ``NotImplementedError``.
Examples
--------
List the identities available to use in Function-backed columns:
```python
[(function.name, function.version) for function in db.list_functions()]
```
"""
raise NotImplementedError("job is not supported for this connection type")
raise NotImplementedError(
"Function catalog operations are not supported for this connection type"
)
def drop_function(self, name: str, *, version: str) -> bool:
"""Drop one exact immutable Function version from the remote catalog.
Returns True when the version changed to Dropped and False for an
idempotent replay. Local connections raise NotImplementedError.
"""
raise NotImplementedError(
"Function catalog operations are not supported for this connection type"
)
def create_secret(
self, name: str, value: str, *, namespace_path: Optional[List[str]] = None
) -> None:
"""Create a named Secret in this database.
Fails if the name is taken, so a create never silently becomes a
rotation. Nothing reads the value back: it is bound to a Function by
name and resolved by the service when that Function runs. Local
connections raise ``NotImplementedError``.
"""
raise NotImplementedError(
"Secret operations are not supported for this connection type"
)
def alter_secret(
self, name: str, value: str, *, namespace_path: Optional[List[str]] = None
) -> None:
"""Replace the credential behind an existing Secret.
Fails if it does not exist. Every Function bound to the Secret uses the
new value from its next job, and no new Function version is created --
which is how a rotation reaches columns pinned to a version registered
before it. Local connections raise ``NotImplementedError``.
"""
raise NotImplementedError(
"Secret operations are not supported for this connection type"
)
def list_secrets(self, *, namespace_path: Optional[List[str]] = None) -> List[str]:
"""The names of every Secret in this database.
Names only. No method returns a stored credential, by construction
rather than by policy. Local connections raise ``NotImplementedError``.
"""
raise NotImplementedError(
"Secret operations are not supported for this connection type"
)
def drop_secret(
self, name: str, *, namespace_path: Optional[List[str]] = None
) -> None:
"""Drop a Secret.
Functions bound to it fail at their next job, naming the Secret; that
is the revocation path. The name becomes free to reuse, and a new
Secret under it is picked up by everything still bound to that name.
Local connections raise ``NotImplementedError``.
"""
raise NotImplementedError(
"Secret operations are not supported for this connection type"
)
def describe_secret(
self, name: str, *, namespace_path: Optional[List[str]] = None
) -> SecretInfo:
"""What this database records about a Secret: name and timestamps.
Never the value -- there is no code path that could return one. Local
connections raise ``NotImplementedError``.
"""
raise NotImplementedError(
"Secret operations are not supported for this connection type"
)
def open_job(self, job_id: str) -> Job:
"""Open a server-side job by id, returning a handle with its record
already populated.
The returned [Job][lancedb.job.Job] answers for its own state,
specification, result, failure and event history, so there is no
separate connection-level call for any of them.
Raises `JobNotFoundError` when the server has no such job, the way
`open_table` does for a missing table.
"""
raise NotImplementedError("open_job is not supported for this connection type")
def list_jobs(self) -> List[JobInfo]:
"""List server-side jobs across the database's tables."""
raise NotImplementedError("list_jobs is not supported for this connection type")
def get_job(self, job_id: str) -> Optional[JobDescription]:
"""Describe a single server-side job by id.
Returns None when the server has no such job.
"""
raise NotImplementedError("get_job is not supported for this connection type")
def cancel_job(self, job_id: str) -> bool:
"""Request cancellation of a server-side job by id.
@@ -743,14 +876,38 @@ class DBConnection(EnforceOverrides):
"cancel_job is not supported for this connection type"
)
def job_history(self, job_id: Optional[str] = None) -> List[pa.RecordBatch]:
"""The lifecycle event history of a server-side job, as Arrow batches.
def execute_query(
self,
query: str,
*,
default_namespace_path: Optional[List[str]] = None,
) -> pa.RecordBatchReader:
"""Execute SQL and return a blocking Arrow reader.
Lists history across all jobs when `job_id` is None.
This submits through :meth:`execute_query_async` and waits until the
initial result stream is readable. It does not wait for the full query
to finish.
"""
raise NotImplementedError(
"job_history is not supported for this connection type"
)
return self.execute_query_async(
query,
default_namespace_path=default_namespace_path,
).reader()
def execute_query_async(
self,
query: str,
*,
default_namespace_path: Optional[List[str]] = None,
) -> SqlQuery:
"""Start executing SQL and return its query handle.
Local connections do not support SQL.
"""
raise NotImplementedError("SQL is not supported for this connection type")
def describe_query(self, query_id: UUID) -> QueryDescription:
"""Describe a submitted SQL query by its connection-scoped id."""
raise NotImplementedError("SQL is not supported for this connection type")
class LanceDBConnection(DBConnection):
@@ -847,6 +1004,7 @@ class LanceDBConnection(DBConnection):
None,
None,
None,
None,
read_consistency_interval_secs,
None,
storage_options,
@@ -1395,37 +1553,67 @@ class LanceDBConnection(DBConnection):
)
@override
def job(self, job_id: str) -> Job:
"""A [Job][lancedb.job.Job] handle for a server-side job by id.
The handle is constructed without a server round trip; an unknown id
surfaces when the handle is used. Dropping the handle has no effect
on the job itself.
def open_job(self, job_id: str) -> Job:
"""Open a server-side job by id. See
[DBConnection.open_job][lancedb.db.DBConnection.open_job].
"""
return Job(self._conn.job(job_id))
return Job(LOOP.run(self._conn.open_job(job_id)))
@override
def create_function_async(self, definition: UdfDefinition) -> Job[FunctionVersion]:
job = LOOP.run(self._conn.create_function_async(definition))
def create_function_async(
self,
definition: UdfDefinition,
*,
secrets: Optional[Sequence[EnvVarSecret]] = None,
) -> Job[FunctionVersion]:
job = LOOP.run(self._conn.create_function_async(definition, secrets=secrets))
return Job(job)
@override
def get_function(self, name: str, *, version: str) -> FunctionVersion:
return LOOP.run(self._conn.get_function(name, version=version))
@override
def list_functions(self) -> List[FunctionVersion]:
return LOOP.run(self._conn.list_functions())
@override
def drop_function(self, name: str, *, version: str) -> bool:
return LOOP.run(self._conn.drop_function(name, version=version))
@override
def create_secret(
self, name: str, value: str, *, namespace_path: Optional[List[str]] = None
) -> None:
LOOP.run(self._conn.create_secret(name, value, namespace_path=namespace_path))
@override
def alter_secret(
self, name: str, value: str, *, namespace_path: Optional[List[str]] = None
) -> None:
LOOP.run(self._conn.alter_secret(name, value, namespace_path=namespace_path))
@override
def list_secrets(self, *, namespace_path: Optional[List[str]] = None) -> List[str]:
return LOOP.run(self._conn.list_secrets(namespace_path=namespace_path))
@override
def drop_secret(
self, name: str, *, namespace_path: Optional[List[str]] = None
) -> None:
LOOP.run(self._conn.drop_secret(name, namespace_path=namespace_path))
@override
def describe_secret(
self, name: str, *, namespace_path: Optional[List[str]] = None
) -> SecretInfo:
return LOOP.run(self._conn.describe_secret(name, namespace_path=namespace_path))
@override
def list_jobs(self) -> List[JobInfo]:
"""List server-side jobs across the database's tables."""
return LOOP.run(self._conn.list_jobs())
@override
def get_job(self, job_id: str) -> Optional[JobDescription]:
"""Describe a single server-side job by id.
Returns None when the server has no such job.
"""
return LOOP.run(self._conn.get_job(job_id))
@override
def cancel_job(self, job_id: str) -> bool:
"""Request cancellation of a server-side job by id.
@@ -1436,14 +1624,6 @@ class LanceDBConnection(DBConnection):
"""
return LOOP.run(self._conn.cancel_job(job_id))
@override
def job_history(self, job_id: Optional[str] = None) -> List[pa.RecordBatch]:
"""The lifecycle event history of a server-side job, as Arrow batches.
Lists history across all jobs when `job_id` is None.
"""
return LOOP.run(self._conn.job_history(job_id))
@override
def namespace_client(self) -> LanceNamespace:
"""Get the equivalent namespace client for this connection.
@@ -2214,46 +2394,110 @@ class AsyncConnection(object):
namespace_path = []
await self._inner.drop_all_tables(namespace_path=namespace_path)
def job(self, job_id: str) -> AsyncJob:
"""An [AsyncJob][lancedb.job.AsyncJob] handle for a server-side job
by id.
The handle is constructed without a server round trip; an unknown id
surfaces when the handle is used. Dropping the handle has no effect
on the job itself.
async def open_job(self, job_id: str) -> AsyncJob:
"""Open a server-side job by id. See
[DBConnection.open_job][lancedb.db.DBConnection.open_job].
"""
return AsyncJob(self._inner.job(job_id))
return AsyncJob(await self._inner.open_job(job_id))
async def create_function_async(
self, definition: UdfDefinition
self,
definition: UdfDefinition,
*,
secrets: Optional[Sequence[EnvVarSecret]] = None,
) -> AsyncJob[FunctionVersion]:
"""Register a scalar Python UDF through the remote Function catalog.
The returned typed job resolves to the immutable Function version.
Local connections raise ``NotImplementedError``.
``secrets`` is a sequence of
[EnvVarSecret][lancedb.secrets.EnvVarSecret], each naming a Secret and
the environment variable its value arrives in. Local connections raise
``NotImplementedError``.
"""
if not isinstance(definition, UdfDefinition):
raise TypeError("create_function_async requires a @udf definition")
inner = await self._inner.create_function_async(
definition.registration_request.to_canonical_json()
)
request = definition.bind_secrets(secrets)
inner = await self._inner.create_function_async(request.to_canonical_json())
return _typed_job(inner, FunctionVersion.from_json)
async def get_function(self, name: str, *, version: str) -> FunctionVersion:
"""Open one exact immutable Function version from the remote catalog."""
return FunctionVersion.from_json(await self._inner.get_function(name, version))
async def list_functions(self) -> List[FunctionVersion]:
"""List every published immutable Function version.
Results are ordered by Function name then version. Local connections
raise ``NotImplementedError``.
"""
return [
FunctionVersion.from_json(value)
for value in await self._inner.list_functions()
]
async def drop_function(self, name: str, *, version: str) -> bool:
"""Drop one exact immutable Function version from the remote catalog."""
return await self._inner.drop_function(name, version)
async def create_secret(
self, name: str, value: str, *, namespace_path: Optional[List[str]] = None
) -> None:
"""Create a named Secret in this database.
Fails if the name is taken, so a create never silently becomes a
rotation. Nothing reads the value back.
"""
await self._inner.create_secret(
validate_secret_name(name),
value,
list(validate_namespace_path(namespace_path)),
)
async def alter_secret(
self, name: str, value: str, *, namespace_path: Optional[List[str]] = None
) -> None:
"""Replace the credential behind an existing Secret.
Fails if it does not exist. Bound Functions use the new value from
their next job, with no new Function version.
"""
await self._inner.alter_secret(
validate_secret_name(name),
value,
list(validate_namespace_path(namespace_path)),
)
async def list_secrets(
self, *, namespace_path: Optional[List[str]] = None
) -> List[str]:
"""The names of every Secret in this database. Names only."""
return await self._inner.list_secrets(
list(validate_namespace_path(namespace_path))
)
async def drop_secret(
self, name: str, *, namespace_path: Optional[List[str]] = None
) -> None:
"""Drop a Secret. Bound Functions fail at their next job."""
await self._inner.drop_secret(
validate_secret_name(name), list(validate_namespace_path(namespace_path))
)
async def describe_secret(
self, name: str, *, namespace_path: Optional[List[str]] = None
) -> SecretInfo:
"""What this database records about a Secret. Never the value."""
return SecretInfo.from_json(
await self._inner.describe_secret(
validate_secret_name(name),
list(validate_namespace_path(namespace_path)),
)
)
async def list_jobs(self) -> List[JobInfo]:
"""List server-side jobs across the database's tables."""
return await self._inner.list_jobs()
async def get_job(self, job_id: str) -> Optional[JobDescription]:
"""Describe a single server-side job by id.
Returns None when the server has no such job.
"""
return await self._inner.get_job(job_id)
async def cancel_job(self, job_id: str) -> bool:
"""Request cancellation of a server-side job by id.
@@ -2263,12 +2507,46 @@ class AsyncConnection(object):
"""
return await self._inner.cancel_job(job_id)
async def job_history(self, job_id: Optional[str] = None) -> List[pa.RecordBatch]:
"""The lifecycle event history of a server-side job, as Arrow batches.
async def execute_query(
self,
query: str,
*,
default_namespace_path: Optional[List[str]] = None,
) -> AsyncRecordBatchReader:
"""Execute SQL and return an asynchronous Arrow reader.
Lists history across all jobs when `job_id` is None.
This submits through :meth:`execute_query_async` and waits until the
initial result stream is readable. It does not wait for the full query
to finish.
"""
return await self._inner.job_history(job_id)
submitted = await self.execute_query_async(
query,
default_namespace_path=default_namespace_path,
)
return await submitted.reader()
async def execute_query_async(
self,
query: str,
*,
default_namespace_path: Optional[List[str]] = None,
) -> AsyncSqlQuery:
"""Start executing SQL and return its query handle.
The database from ``connect_async`` is used for unqualified database
references. The namespace defaults to ``["public"]``. Local
connections raise ``NotImplementedError``.
"""
return AsyncSqlQuery(
await self._inner.execute_query_async(
query,
default_namespace_path=default_namespace_path,
)
)
async def describe_query(self, query_id: UUID) -> QueryDescription:
"""Describe a submitted SQL query by its connection-scoped id."""
return await self._inner.describe_query(query_id)
async def namespace_client(self) -> LanceNamespace:
"""Get the equivalent namespace client for this connection.
+6
View File
@@ -35,3 +35,9 @@ class JobCancelledError(RuntimeError):
"""Exception raised when an asynchronous job was cancelled."""
pass
class JobNotFoundError(ValueError):
"""Exception raised when opening a job the server does not have."""
pass
+190 -27
View File
@@ -4,7 +4,7 @@
"""Canonical Function values exchanged with LanceDB Enterprise services.
These immutable models contain client/wire state only. Catalog persistence,
environment bake, and execution are owned by Sophon.
environment bake, secret resolution, and execution are owned by Sophon.
``RefreshColumnResult`` is also the backend-neutral result of a local
expression-backed refresh job.
"""
@@ -25,7 +25,7 @@ import re
import sys
import textwrap
import types
from collections.abc import Mapping
from collections.abc import Mapping, Sequence
from datetime import date, datetime
from typing import (
Annotated,
@@ -50,6 +50,7 @@ from pydantic import (
)
from .schema import is_blob_v2_field as _is_blob_v2_field
from .secrets import EnvVarSecret
_Int32 = conint(strict=True, ge=-(2**31), le=2**31 - 1)
_UInt32 = conint(strict=True, ge=0, le=2**32 - 1)
@@ -309,6 +310,7 @@ class FunctionVersion(_RemoteValue):
runtime: PythonRuntimeSpec
runtime_digest: str
environment_digest: str
secret_bindings: Mapping[str, str] = {}
created_at: str
def __call__(self, **inputs: Any) -> FunctionApplication:
@@ -370,12 +372,18 @@ class FunctionVersion(_RemoteValue):
class FunctionRegistrationRequest(_RemoteValue):
"""Stable remote registration envelope produced by :func:`udf`."""
"""Stable remote registration envelope produced by :func:`udf`.
Credential values deliberately have no field here. The only secret-shaped
thing a client sends is ``secret_bindings``: the name of a Secret the
database already holds, which the remote service resolves at execution.
"""
name: str
artifact: FunctionArtifactRequest
signature: FunctionSignature
runtime: PythonRuntimeSpec
secret_bindings: Mapping[str, str] = {}
class FunctionVersionRef(_OpenRemoteValue):
@@ -470,11 +478,7 @@ class InputBinding(_RemoteValue):
class OutputMapping(_RemoteValue):
"""One stable result-field mapping.
Assignment state is outside the Slice 1 client contract. During the NULL
transition Lance exposes no public cell-flag identifier to persist here.
"""
"""One stable result-field mapping."""
result_field: str
output_name: str
@@ -484,6 +488,13 @@ class OutputMapping(_RemoteValue):
nullable: bool
class AssignmentMapping(_RemoteValue):
"""Internal physical column preserving flattened struct validity."""
output_name: str
output_field_id: _Int32
class FunctionBinding(_RemoteValue):
"""Immutable Function binding persisted by the Enterprise table service."""
@@ -491,6 +502,7 @@ class FunctionBinding(_RemoteValue):
function: FunctionVersionRef
inputs: tuple[InputBinding, ...]
outputs: tuple[OutputMapping, ...]
assignment: Optional[AssignmentMapping] = None
input_schema: Optional[Mapping[str, Any]] = None
output_schema: Optional[Mapping[str, Any]] = None
@@ -520,7 +532,21 @@ class RefreshColumnResult(_RemoteValue):
_FUNCTION_NAME = re.compile(r"^[A-Za-z_][A-Za-z0-9_.-]*$")
_DECLARED_SECRET = re.compile(r"^[A-Za-z_][A-Za-z0-9_]*$")
MAX_FUNCTION_SECRET_BINDINGS = 16
"""A Function binds at most this many Secrets.
Each bound Secret is one extra read on the launch path of every fragment, so
the count needs a bound for the same reason a credential needs a size limit.
"""
_FUNCTION_BLOB_V2_TYPE = "blob_v2"
_ARROW_EXTENSION_NAME_KEY = "ARROW:extension:name"
_BLOB_V2_EXTENSION_NAME = "lance.blob.v2"
_NESTED_BLOB_COLLECTION_ERROR = (
"unsupported Arrow type for Function signature: Blob v2 fields nested under "
"collection types are not supported"
)
_GRAMMAR_PRIMITIVES = (
@@ -591,6 +617,19 @@ def _validate_exact_arrow_field(field: pa.Field) -> None:
"unsupported Arrow type for Function signature: lance.blob.v2 "
f"requires a supported Blob storage layout, got {field}"
)
metadata = {
(key.decode() if isinstance(key, bytes) else key): (
value.decode() if isinstance(value, bytes) else value
)
for key, value in (field.metadata or {}).items()
}
if metadata and metadata != {
_ARROW_EXTENSION_NAME_KEY: _BLOB_V2_EXTENSION_NAME
}:
raise TypeError(
"unsupported Arrow type for Function signature: lance.blob.v2 "
"field metadata must contain only its canonical extension marker"
)
elif field.metadata:
raise TypeError(
"unsupported Arrow type for Function signature: field metadata "
@@ -655,23 +694,84 @@ def _canonical_arrow_field(field: pa.Field) -> str:
return _canonical_arrow_type(field.type)
def _exact_arrow_field(field: pa.Field) -> dict[str, Any]:
def _blob_storage_type(field: pa.Field) -> pa.DataType:
data_type = field.type
if isinstance(data_type, pa.ExtensionType):
return data_type.storage_type
return data_type
def _exact_blob_storage_type(field: pa.Field) -> dict[str, Any]:
storage = _blob_storage_type(field)
if not pa.types.is_struct(storage):
raise TypeError(
"unsupported Arrow type for Function signature: lance.blob.v2 "
"requires struct storage"
)
return {
"type": "struct",
"fields": [
{
"name": child.name,
"nullable": child.nullable,
"type": (
{"type": "large_binary"}
if pa.types.is_large_binary(child.type)
else _exact_arrow_type(child.type)
),
}
for child in storage
],
}
def _data_type_has_blob_v2(data_type: pa.DataType) -> bool:
if pa.types.is_struct(data_type):
return any(
_is_blob_v2_field(field) or _data_type_has_blob_v2(field.type)
for field in data_type
)
if (
pa.types.is_list(data_type)
or pa.types.is_large_list(data_type)
or pa.types.is_fixed_size_list(data_type)
):
field = data_type.value_field
return _is_blob_v2_field(field) or _data_type_has_blob_v2(field.type)
if pa.types.is_map(data_type):
return any(
_is_blob_v2_field(field) or _data_type_has_blob_v2(field.type)
for field in (data_type.key_field, data_type.item_field)
)
return False
def _exact_arrow_field(
field: pa.Field, *, inside_collection: bool = False
) -> dict[str, Any]:
_validate_exact_arrow_field(field)
if _is_blob_v2_field(field):
raise TypeError(
"unsupported Arrow type for Function signature: nested Blob v2 "
"fields are not supported; declare Blob parameters or named result "
"fields directly"
)
if inside_collection:
raise TypeError(_NESTED_BLOB_COLLECTION_ERROR)
return {
"name": field.name,
"nullable": field.nullable,
"type": _exact_blob_storage_type(field),
"metadata": {
_ARROW_EXTENSION_NAME_KEY: _BLOB_V2_EXTENSION_NAME,
},
}
value = {
"name": field.name,
"nullable": field.nullable,
"type": _exact_arrow_type(field.type),
"type": _exact_arrow_type(field.type, inside_collection=inside_collection),
}
return value
def _exact_arrow_type(data_type: pa.DataType) -> dict[str, Any]:
def _exact_arrow_type(
data_type: pa.DataType, *, inside_collection: bool = False
) -> dict[str, Any]:
for candidate, name in _GRAMMAR_PRIMITIVES:
if data_type == candidate:
return {"type": name}
@@ -685,7 +785,10 @@ def _exact_arrow_type(data_type: pa.DataType) -> dict[str, Any]:
)
return {
"type": "struct",
"fields": [_exact_arrow_field(field) for field in fields],
"fields": [
_exact_arrow_field(field, inside_collection=inside_collection)
for field in fields
],
}
if (
pa.types.is_list(data_type)
@@ -710,11 +813,15 @@ def _exact_arrow_type(data_type: pa.DataType) -> dict[str, Any]:
if pa.types.is_large_list(data_type)
else "fixed_size_list"
),
"fields": [_exact_arrow_field(data_type.value_field)],
"fields": [
_exact_arrow_field(data_type.value_field, inside_collection=True)
],
}
if pa.types.is_fixed_size_list(data_type):
value["length"] = data_type.list_size
return value
if pa.types.is_map(data_type) and _data_type_has_blob_v2(data_type):
raise TypeError(_NESTED_BLOB_COLLECTION_ERROR)
raise TypeError(f"unsupported Arrow type for Function signature: {data_type}")
@@ -824,8 +931,6 @@ def _function_output(output: pa.DataType | pa.Field | pa.Schema) -> FunctionOutp
if not fields:
raise ValueError("named-struct Function output must contain at least one field")
if any(field.nullable for field in fields):
raise ValueError("Function output fields must be non-nullable")
for field in fields:
_validate_exact_arrow_field(field)
names = [field.name for field in fields]
@@ -837,7 +942,7 @@ def _function_output(output: pa.DataType | pa.Field | pa.Schema) -> FunctionOutp
FunctionResultField(
name=field.name,
arrow_type=_canonical_arrow_field(field),
nullable=False,
nullable=field.nullable,
)
for field in fields
),
@@ -1176,9 +1281,63 @@ class UdfDefinition:
@property
def registration_request(self) -> FunctionRegistrationRequest:
"""The immutable request sent by ``create_function_async``."""
"""The immutable request sent by ``create_function_async``.
Carries no secret bindings. Binding is a registration-time decision,
so a Function bound to Secrets is registered through :meth:`bind_secrets`,
which is what ``create_function`` calls.
"""
return self._request
def bind_secrets(
self, secrets: Optional[Sequence[EnvVarSecret]]
) -> FunctionRegistrationRequest:
"""The registration request for this definition bound to ``secrets``.
Binding does not change the Function's source: each
[EnvVarSecret][lancedb.secrets.EnvVarSecret] names a Secret and the
environment variable its value should arrive in, and the Function reads
that variable the way it already did. Whether the named Secrets exist is
the server's answer, not this one.
"""
bindings = () if secrets is None else tuple(secrets)
wrong_type = [
binding for binding in bindings if not isinstance(binding, EnvVarSecret)
]
if wrong_type:
kinds = sorted({type(binding).__name__ for binding in wrong_type})
raise TypeError(
f"Function secrets must be EnvVarSecret values, not {kinds!r}; a "
"credential value is never sent to this API"
)
if len(bindings) > MAX_FUNCTION_SECRET_BINDINGS:
raise ValueError(
f"a Function binds at most {MAX_FUNCTION_SECRET_BINDINGS} secrets, "
f"not {len(bindings)}"
)
variables = [binding.env_variable for binding in bindings]
duplicates = sorted({name for name in variables if variables.count(name) > 1})
if duplicates:
raise ValueError(
"a Function binds each environment variable once; duplicated: "
f"{duplicates!r}"
)
# `env` is ordinary configuration carried in the definition, so a name in
# both would have a value visible in the Function's record and a value
# that is not. Refuse rather than pick.
environment = self._request.runtime.env or {}
overlap = sorted(set(environment) & set(variables))
if overlap:
raise ValueError(
f"Function env and secret bindings must be disjoint: {overlap!r}"
)
if not bindings:
return self._request
# The binding records the full id -- path plus name -- because that is
# what the service resolves. At the root it is the bare name.
resolved = {binding.env_variable: binding.secret_id for binding in bindings}
return self._request._copy(update={"secret_bindings": resolved})
def __call__(self, *args, **kwargs):
return self._function(*args, **kwargs)
@@ -1220,8 +1379,9 @@ def udf(
Input and output signatures are inferred from supported annotations. For
Arrow types annotations cannot express precisely, pass ``input_schema``
and ``output_schema`` together. Nullable outputs are rejected because V1
uses physical NULL to represent unassigned computed-column rows.
and ``output_schema`` together. Scalar outputs must be non-nullable. Every
named-struct field may be nullable; Enterprise preserves the struct's
validity when the result is expanded into sibling columns.
Parameters
----------
@@ -1233,8 +1393,8 @@ def udf(
Explicit input fields in the exact order of the callable parameters.
Must be provided together with ``output_schema``.
output_schema : pyarrow.DataType, pyarrow.Field, or pyarrow.Schema, optional
Explicit scalar or named-struct output. Must be non-nullable and be
provided together with ``input_schema``.
Explicit scalar or named-struct output. Scalar outputs must be
non-nullable. Must be provided together with ``input_schema``.
pip : sequence of str, optional
Pip requirements for the remote environment.
conda : sequence of str, optional
@@ -1242,7 +1402,9 @@ def udf(
conda_channels : sequence of str, optional
Conda channels in priority order; requires ``conda``.
env : mapping of str to str, optional
Environment variables included in the Function definition.
Environment variables included in the Function definition. Not for
credentials -- these are ordinary configuration, stored with the
Function and visible wherever it is.
python_version : str, optional
Remote Python major/minor version. Defaults to the client version.
gpu : bool, default False
@@ -1300,6 +1462,7 @@ def udf(
__all__ = [
"AssignmentMapping",
"ApplicationInput",
"FunctionApplication",
"FunctionArtifact",
+224
View File
@@ -4,15 +4,27 @@
"""Handles to operations a server may run asynchronously."""
import asyncio
import json
from datetime import timedelta
from typing import Any, Callable, Generic, Optional, TypeVar, cast
import pyarrow as pa
from lancedb.background_loop import LOOP
from . import _lancedb
from ._lancedb import JobDescription, JobFailureInfo, JobInfo
T = TypeVar("T")
__all__ = [
"AsyncJob",
"Job",
"JobDescription",
"JobFailureInfo",
"JobInfo",
]
class AsyncJob(Generic[T]):
"""A handle to an operation that may still be running.
@@ -78,6 +90,149 @@ class AsyncJob(Generic[T]):
return
await self._inner.cancel()
async def refresh(self) -> None:
"""Ask the backend for this job's current state, and for a server-side
job its full record, then cache it for the properties below.
The properties are all `None` until this runs, because submitting an
operation returns only a job id. `status` fetches the whole record too;
`wait` records only the terminal state it establishes.
"""
if self._inner is None:
return
await self._inner.refresh()
@property
def state(self) -> Optional[str]:
"""The last observed lifecycle state, without contacting the backend.
`None` until the handle has talked to it. See :meth:`AsyncJob.refresh`.
"""
if self._inner is None:
return "finished"
return self._inner._state
@property
def job_type(self) -> Optional[str]:
"""The job's type, as the server names it.
`None` for an in-process job, which has no server-side record.
"""
return self._field("job_type")
@property
def creation_ms(self) -> Optional[int]:
"""When the job was created, in milliseconds since the epoch."""
return self._field("creation_ms")
@property
def spec(self) -> Optional[Any]:
"""The job-type-specific specification it was submitted with."""
return self._field("spec")
@property
def result(self) -> Optional[Any]:
"""The job-type-specific terminal result, as reported data rather than
the typed model :meth:`AsyncJob.wait` returns.
`None` until the job succeeds, so a job that never terminates reports
its progress through :meth:`AsyncJob.events` instead.
"""
return self._field("result")
@property
def failure(self) -> Optional[JobFailureInfo]:
"""Why the job failed, when it failed and the server reports a reason."""
return self._field("failure")
@property
def _spec_json(self) -> Optional[str]:
return self._field("_spec_json")
@property
def _result_json(self) -> Optional[str]:
return self._field("_result_json")
def _field(self, name: str) -> Optional[Any]:
description = self._inner._description if self._inner is not None else None
return getattr(description, name) if description is not None else None
async def events(
self,
*,
limit: Optional[int] = None,
filter: Optional[str] = None,
) -> "pa.Table":
"""This job's recorded lifecycle events.
Where the properties above report a terminal result only once the job
reaches one, events are written as the job runs and outlive the workers
that produced them. A distributed job records a `claim`/`claim_complete`
pair per unit of work, each carrying `rows_processed`, so a job that
never finishes still accounts for what it did.
Parameters
----------
limit: int, optional
Maximum event rows to return. The server caps results at 1000 by
default and 10,000 at most, and truncates without saying so, so
pass this for a job that emits an event per fragment.
filter: str, optional
SQL-like expression over the `state`, `updated_by`, `emitted_from`,
`emitted_by`, and `claim_entity` columns, such as
``state = 'claim_complete'``.
"""
if self._inner is None:
raise NotImplementedError(
"job event history is only available for server-side jobs"
)
return await self._inner.events(limit=limit, filter=filter)
def __repr__(self) -> str:
return _job_repr("AsyncJob", self)
_REPR_INDENT = " " * 4
def _repr_payload(value: Any) -> str:
"""Render a job payload as indented JSON, aligned under its field."""
try:
rendered = json.dumps(value, indent=4)
except TypeError:
return repr(value)
return rendered.replace("\n", "\n" + _REPR_INDENT)
def _job_repr(kind: str, job: Any) -> str:
"""Render every field the handle currently knows, omitting the rest.
One field per line, with the JSON payloads indented, because a refresh
job's spec and result are the point of printing it.
"""
state = job.state
if state is None:
# Nothing has been fetched yet, so there is nothing to lay out.
known = f"id={job.id!r}, " if job.id is not None else ""
return f"{kind}({known}not refreshed)"
fields = []
if job.id is not None:
fields.append(f"id={job.id!r}")
fields.append(f"state={state!r}")
for name in ("job_type", "creation_ms"):
value = getattr(job, name)
if value is not None:
fields.append(f"{name}={value!r}")
for name in ("spec", "result"):
value = getattr(job, name)
if value is not None:
fields.append(f"{name}={_repr_payload(value)}")
if job.failure is not None:
fields.append(f"failure={job.failure!r}")
body = "".join(f"\n{_REPR_INDENT}{field}," for field in fields)
return f"{kind}({body}\n)"
class Job(Generic[T]):
"""Synchronous counterpart of `AsyncJob` with the same result type."""
@@ -122,6 +277,75 @@ class Job(Generic[T]):
return
LOOP.run(self._inner.cancel())
def refresh(self) -> None:
"""Ask the backend for this job's current state and record.
See :meth:`AsyncJob.refresh`.
"""
if self._inner is None:
return
LOOP.run(self._inner.refresh())
@property
def state(self) -> Optional[str]:
"""The last observed lifecycle state. See :attr:`AsyncJob.state`."""
return self._inner.state if self._inner is not None else "finished"
@property
def job_type(self) -> Optional[str]:
"""The job's type. See :attr:`AsyncJob.job_type`."""
return self._field("job_type")
@property
def creation_ms(self) -> Optional[int]:
"""When the job was created. See :attr:`AsyncJob.creation_ms`."""
return self._field("creation_ms")
@property
def spec(self) -> Optional[Any]:
"""The job's specification. See :attr:`AsyncJob.spec`."""
return self._field("spec")
@property
def result(self) -> Optional[Any]:
"""The job's terminal result. See :attr:`AsyncJob.result`."""
return self._field("result")
@property
def failure(self) -> Optional[JobFailureInfo]:
"""Why the job failed. See :attr:`AsyncJob.failure`."""
return self._field("failure")
@property
def _spec_json(self) -> Optional[str]:
return self._field("_spec_json")
@property
def _result_json(self) -> Optional[str]:
return self._field("_result_json")
def _field(self, name: str) -> Optional[Any]:
return getattr(self._inner, name) if self._inner is not None else None
def events(
self,
*,
limit: Optional[int] = None,
filter: Optional[str] = None,
) -> "pa.Table":
"""This job's recorded lifecycle events.
See :meth:`AsyncJob.events`.
"""
if self._inner is None:
raise NotImplementedError(
"job event history is only available for server-side jobs"
)
return LOOP.run(self._inner.events(limit=limit, filter=filter))
def __repr__(self) -> str:
return _job_repr("Job", self)
def _typed_job(
inner: "_lancedb.Job", result_decoder: Callable[[str], T]
+5 -1
View File
@@ -42,6 +42,8 @@ class MaterializedViewDefinition:
"""Cap on the number of rows the view holds."""
inputs: List[str] = field(default_factory=list)
"""Source columns the projections and filter read."""
source_namespace: List[str] = field(default_factory=list)
"""Namespace holding the source table; empty is the root namespace."""
def _definition_from_schema(
@@ -53,7 +55,8 @@ def _definition_from_schema(
raise ValueError(f"Table '{name}' is not a materialized view")
value = json.loads(raw)
kind = value.get("kind")
if kind != "select":
# "namespaced_select" keeps older readers from resolving the source at root.
if kind not in ("select", "namespaced_select"):
raise NotImplementedError(
f"materialized view '{name}' is defined by '{kind}', which this "
"version of lancedb cannot refresh"
@@ -66,6 +69,7 @@ def _definition_from_schema(
filter=value.get("filter"),
limit=value.get("limit"),
inputs=value.get("inputs", []),
source_namespace=value.get("source_namespace", []),
)
+35
View File
@@ -12,6 +12,7 @@ from __future__ import annotations
import sys
from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Union
from uuid import UUID
if sys.version_info >= (3, 12):
from typing import override
@@ -48,8 +49,11 @@ from lancedb._lancedb import (
connect_namespace_client as _connect_namespace_client,
)
from lancedb.background_loop import LOOP
from lancedb.arrow import AsyncRecordBatchReader
from lancedb.db import AsyncConnection, DBConnection
from lancedb.job import AsyncJob, Job
from lancedb.sql import AsyncQuery as AsyncSqlQuery
from lancedb.sql import QueryDescription
from lance_namespace import (
LanceNamespace,
connect as namespace_connect,
@@ -1447,6 +1451,37 @@ class AsyncLanceNamespaceDBConnection:
namespace_path=namespace_path, page_token=page_token, limit=limit
)
async def execute_query(
self,
query: str,
*,
default_namespace_path: Optional[List[str]] = None,
) -> AsyncRecordBatchReader:
"""Execute SQL when supported by the underlying connection."""
return await self._inner.execute_query(
query,
default_namespace_path=default_namespace_path,
)
async def execute_query_async(
self,
query: str,
*,
default_namespace_path: Optional[List[str]] = None,
) -> AsyncSqlQuery:
"""Start executing SQL when supported by the underlying connection.
Namespace-backed local connections do not support SQL.
"""
return await self._inner.execute_query_async(
query,
default_namespace_path=default_namespace_path,
)
async def describe_query(self, query_id: UUID) -> QueryDescription:
"""Describe a submitted SQL query when supported."""
return await self._inner.describe_query(query_id)
async def namespace_client(self) -> LanceNamespace:
"""Get the namespace client for this connection.
+6
View File
@@ -109,6 +109,7 @@ def _query_is_plain_scan(query: Query) -> bool:
return (
query.vector is None
and query.full_text_query is None
and query.take_offsets is None
and not query.postfilter
and not query.order_by
)
@@ -804,6 +805,10 @@ class Query(pydantic.BaseModel):
# offset to start fetching results from
offset: Optional[int] = None
# Dataset offsets whose duplicate occurrences must be restored after lookup.
# This is populated when a take query is converted to this serializable form.
take_offsets: Optional[List[int]] = None
# if true, will only search the indexed data
fast_search: Optional[bool] = None
@@ -825,6 +830,7 @@ class Query(pydantic.BaseModel):
query = cls()
query.limit = req.limit
query.offset = req.offset
query.take_offsets = req.take_offsets
query.filter = req.filter
query.full_text_query = req.full_text_search
query.columns = req.select
+94 -23
View File
@@ -7,8 +7,18 @@ import json
import logging
from concurrent.futures import ThreadPoolExecutor
import sys
from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Union
from typing import (
TYPE_CHECKING,
Any,
Dict,
Iterable,
List,
Optional,
Sequence,
Union,
)
from urllib.parse import urlparse
from uuid import UUID
import warnings
if sys.version_info >= (3, 12):
@@ -25,10 +35,13 @@ from ..common import DATA
from ..db import DBConnection, LOOP
from ..functions import FunctionVersion, UdfDefinition
from ..job import AsyncJob, Job
from ..sql import Query as SqlQuery
from ..sql import QueryDescription
from ..materialized_view import MaterializedView, SelectArg
from ..secrets import EnvVarSecret, SecretInfo
if TYPE_CHECKING:
from .._lancedb import JobDescription, JobInfo
from .._lancedb import JobInfo
from ..embeddings import EmbeddingFunctionConfig
from lance_namespace import (
LanceNamespace,
@@ -116,6 +129,7 @@ class RemoteDBConnection(DBConnection):
read_timeout: Optional[float] = None,
storage_options: Optional[Dict[str, str]] = None,
read_consistency_interval: Optional[timedelta] = None,
sql_host_override: Optional[str] = None,
):
"""Connect to a remote LanceDB database."""
if isinstance(client_config, dict):
@@ -161,6 +175,7 @@ class RemoteDBConnection(DBConnection):
self.api_key = api_key
self.region = region
self.host_override = host_override
self.sql_host_override = sql_host_override
self.storage_options = storage_options
self.db_name = parsed.netloc
@@ -175,6 +190,7 @@ class RemoteDBConnection(DBConnection):
api_key=api_key,
region=region,
host_override=host_override,
sql_host_override=sql_host_override,
client_config=client_config,
storage_options=storage_options,
read_consistency_interval=read_consistency_interval,
@@ -193,6 +209,7 @@ class RemoteDBConnection(DBConnection):
"api_key": self.api_key,
"region": self.region,
"host_override": self.host_override,
"sql_host_override": self.sql_host_override,
"client_config": _client_config_to_dict(self.client_config),
"storage_options": self.storage_options,
}
@@ -732,36 +749,67 @@ class RemoteDBConnection(DBConnection):
)
@override
def job(self, job_id: str) -> Job:
"""A [Job][lancedb.job.Job] handle for a server-side job by id.
The handle is constructed without a server round trip; an unknown id
surfaces when the handle is used. Dropping the handle has no effect
on the job itself.
def open_job(self, job_id: str) -> Job:
"""Open a server-side job by id. See
[DBConnection.open_job][lancedb.db.DBConnection.open_job].
"""
return Job(self._conn.job(job_id))
return Job(LOOP.run(self._conn.open_job(job_id)))
@override
def create_function_async(self, definition: UdfDefinition) -> Job[FunctionVersion]:
return Job(LOOP.run(self._conn.create_function_async(definition)))
def create_function_async(
self,
definition: UdfDefinition,
*,
secrets: Optional[Sequence[EnvVarSecret]] = None,
) -> Job[FunctionVersion]:
job = LOOP.run(self._conn.create_function_async(definition, secrets=secrets))
return Job(job)
@override
def get_function(self, name: str, *, version: str) -> FunctionVersion:
return LOOP.run(self._conn.get_function(name, version=version))
@override
def list_functions(self) -> List[FunctionVersion]:
return LOOP.run(self._conn.list_functions())
@override
def drop_function(self, name: str, *, version: str) -> bool:
return LOOP.run(self._conn.drop_function(name, version=version))
@override
def create_secret(
self, name: str, value: str, *, namespace_path: Optional[List[str]] = None
) -> None:
LOOP.run(self._conn.create_secret(name, value, namespace_path=namespace_path))
@override
def alter_secret(
self, name: str, value: str, *, namespace_path: Optional[List[str]] = None
) -> None:
LOOP.run(self._conn.alter_secret(name, value, namespace_path=namespace_path))
@override
def describe_secret(
self, name: str, *, namespace_path: Optional[List[str]] = None
) -> SecretInfo:
return LOOP.run(self._conn.describe_secret(name, namespace_path=namespace_path))
@override
def list_secrets(self, *, namespace_path: Optional[List[str]] = None) -> List[str]:
return LOOP.run(self._conn.list_secrets(namespace_path=namespace_path))
@override
def drop_secret(
self, name: str, *, namespace_path: Optional[List[str]] = None
) -> None:
LOOP.run(self._conn.drop_secret(name, namespace_path=namespace_path))
@override
def list_jobs(self) -> List["JobInfo"]:
"""List server-side jobs across the database's tables."""
return LOOP.run(self._conn.list_jobs())
@override
def get_job(self, job_id: str) -> Optional["JobDescription"]:
"""Describe a single server-side job by id.
Returns None when the server has no such job.
"""
return LOOP.run(self._conn.get_job(job_id))
@override
def cancel_job(self, job_id: str) -> bool:
"""Request cancellation of a server-side job by id.
@@ -773,12 +821,35 @@ class RemoteDBConnection(DBConnection):
return LOOP.run(self._conn.cancel_job(job_id))
@override
def job_history(self, job_id: Optional[str] = None) -> List[pa.RecordBatch]:
"""The lifecycle event history of a server-side job, as Arrow batches.
def execute_query_async(
self,
query: str,
*,
default_namespace_path: Optional[List[str]] = None,
) -> SqlQuery:
"""Start executing SQL through this remote connection.
Lists history across all jobs when `job_id` is None.
Unqualified tables use this connection's database and the
``["public"]`` namespace by default. Fully qualified table names may
reference other databases available to the same deployment.
"""
return LOOP.run(self._conn.job_history(job_id))
return SqlQuery(
LOOP.run(
self._conn.execute_query_async(
query,
default_namespace_path=default_namespace_path,
)
)
)
@override
def describe_query(self, query_id: UUID) -> QueryDescription:
"""Describe a submitted SQL query by its connection-scoped id."""
return LOOP.run(
self._conn.describe_query(
query_id,
)
)
@override
def namespace_client(self) -> LanceNamespace:
+4 -1
View File
@@ -177,4 +177,7 @@ class OAuthProvider(HeaderProvider):
if not self._current_token:
raise RuntimeError("Failed to obtain OAuth token")
return {"Authorization": f"Bearer {self._current_token}"}
return {
"Authorization": f"Bearer {self._current_token}",
"x-lancedb-credential-type": "oidc",
}
+1
View File
@@ -548,6 +548,7 @@ class RemoteTable(Table):
LOOP.run(
self._table.create_index(
column,
replace=replace,
config=config,
wait_timeout=wait_timeout,
name=name,
+224
View File
@@ -0,0 +1,224 @@
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright The LanceDB Authors
"""Named Secrets, and the bindings that deliver them to Functions.
A Secret is a database-scoped named credential. Nothing in this module holds a
value: :class:`EnvVarSecret` names one and says which environment variable it
should arrive in, and the value is resolved by the remote service when a
Function bound to it runs. No API returns a stored credential, by construction
rather than by policy -- there is no code path that could.
"""
from __future__ import annotations
import re
_SECRET_NAME = re.compile(r"^[A-Za-z0-9_-]{1,255}$")
_ENV_VARIABLE = re.compile(r"^[A-Za-z_][A-Za-z0-9_]*$")
def validate_secret_name(name: str) -> str:
"""Check a Secret name locally and return it unchanged."""
if not isinstance(name, str):
raise TypeError(f"Secret name must be a string, not {type(name).__name__}")
if not _SECRET_NAME.fullmatch(name):
raise ValueError(f"invalid Secret name: {name!r}")
return name
def validate_namespace_path(namespace_path=None):
"""Check a namespace path locally and return it as a tuple.
``None`` and ``[]`` both mean the root namespace. Segments follow the same
rule as Secret names, and necessarily so: an id is the path plus the name
joined with ``$``, so the join has to read the same from either side.
"""
if namespace_path is None:
return ()
if isinstance(namespace_path, str):
raise TypeError(
"namespace_path must be a list of segments, not a string; "
f"did you mean [{namespace_path!r}]?"
)
segments = tuple(namespace_path)
for segment in segments:
if not isinstance(segment, str):
raise TypeError(
f"namespace path segment must be a string, not {type(segment).__name__}"
)
if not _SECRET_NAME.fullmatch(segment):
raise ValueError(f"invalid namespace path segment: {segment!r}")
return segments
def secret_id(secret: str, namespace_path=()) -> str:
"""The id a Secret is named by: its namespace path plus its name.
Joined with ``$``, which is why neither a name nor a segment may contain
one. At the root this is the bare name, so a root id is unchanged from
before namespaces existed.
"""
return "$".join((*namespace_path, secret))
def validate_env_variable(name: str) -> str:
"""Check an environment variable name locally and return it unchanged."""
if not isinstance(name, str):
raise TypeError(
f"environment variable name must be a string, not {type(name).__name__}"
)
if not _ENV_VARIABLE.fullmatch(name):
raise ValueError(f"invalid environment variable name: {name!r}")
return name
class EnvVarSecret:
"""A Secret bound to the environment variable a Function's library reads.
Pass these in the ``secrets`` sequence of
[DBConnection.create_function][lancedb.db.DBConnection.create_function]. The
Function's source is unchanged by binding: it reads ``OPENAI_API_KEY`` the
way it always did, and the binding is what puts a value there.
This is a local value. Constructing it contacts no server, so it always
succeeds and says nothing about whether the Secret exists; that is checked
at registration, where a mistyped Secret name surfaces as a clear "does not
exist" naming both the Secret and the variable bound to it. A mistyped
*variable* name cannot be caught anywhere -- nothing knows which variables a
Function reads -- so it surfaces on the first rows instead.
The type exists so a credential cannot be passed by accident. A bare string
in the same position is a plausible-looking mistake with the opposite
meaning, and it reads identically in a diff.
Parameters
----------
secret : str
The Secret's database-scoped name.
env_variable : str
The environment variable the Function reads it from.
Examples
--------
>>> from lancedb import EnvVarSecret
>>> binding = EnvVarSecret(secret="openai-prod", env_variable="OPENAI_API_KEY")
>>> binding.secret, binding.env_variable
('openai-prod', 'OPENAI_API_KEY')
"""
__slots__ = ("_secret", "_env_variable", "_namespace_path")
def __init__(self, secret: str, env_variable: str, *, namespace_path=None):
self._secret = validate_secret_name(secret)
self._env_variable = validate_env_variable(env_variable)
self._namespace_path = validate_namespace_path(namespace_path)
@property
def secret(self) -> str:
"""The Secret's database-scoped name."""
return self._secret
@property
def env_variable(self) -> str:
"""The environment variable the value is delivered in."""
return self._env_variable
@property
def namespace_path(self):
"""The namespace path the Secret is addressed within, root when empty."""
return list(self._namespace_path)
@property
def secret_id(self) -> str:
"""The full id the binding records: the path plus the name.
Pinned at construction, so a worker resolves the id it was handed and
never re-resolves against its own default namespace -- the same
Function resolves the same Secret wherever it runs.
"""
return secret_id(self._secret, self._namespace_path)
def __repr__(self) -> str:
path = (
f", namespace_path={list(self._namespace_path)!r}"
if self._namespace_path
else ""
)
return (
f"EnvVarSecret(secret={self._secret!r}, "
f"env_variable={self._env_variable!r}{path})"
)
def __eq__(self, other: object) -> bool:
return (
isinstance(other, EnvVarSecret)
and other._secret == self._secret
and other._env_variable == self._env_variable
and other._namespace_path == self._namespace_path
)
def __hash__(self) -> int:
return hash(
(EnvVarSecret, self._secret, self._env_variable, self._namespace_path)
)
class SecretInfo:
"""What a database records about a Secret. Never its value.
Returned by
[DBConnection.describe_secret][lancedb.db.DBConnection.describe_secret].
"""
__slots__ = ("_name", "_created_at", "_updated_at")
def __init__(self, name: str, created_at: str, updated_at: str):
self._name = name
self._created_at = created_at
self._updated_at = updated_at
@property
def name(self) -> str:
"""The Secret's database-scoped name."""
return self._name
@property
def created_at(self) -> str:
"""When the Secret was created, as an RFC 3339 timestamp."""
return self._created_at
@property
def updated_at(self) -> str:
"""When the Secret's value was last rotated, as an RFC 3339 timestamp."""
return self._updated_at
@classmethod
def from_json(cls, value: dict) -> "SecretInfo":
return cls(
name=value["name"],
created_at=value["created_at"],
updated_at=value["updated_at"],
)
def __repr__(self) -> str:
return (
f"SecretInfo(name={self._name!r}, created_at={self._created_at!r}, "
f"updated_at={self._updated_at!r})"
)
def __eq__(self, other: object) -> bool:
return (
isinstance(other, SecretInfo)
and other._name == self._name
and other._created_at == self._created_at
and other._updated_at == self._updated_at
)
__all__ = [
"EnvVarSecret",
"SecretInfo",
"validate_env_variable",
"validate_secret_name",
]
+88
View File
@@ -0,0 +1,88 @@
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright The LanceDB Authors
"""Handles to SQL queries running on a remote database."""
from uuid import UUID
import pyarrow as pa
from lancedb.background_loop import LOOP
from . import _lancedb
from .arrow import AsyncRecordBatchReader
QueryDescription = _lancedb.QueryDescription
class AsyncQuery:
"""A handle to a submitted SQL query on an asynchronous connection."""
def __init__(self, inner: "_lancedb.SqlQuery"):
self._inner = inner
@property
def id(self) -> UUID:
"""The stable identifier scoped to the connection that submitted it."""
return self._inner.id
async def describe(self) -> QueryDescription:
"""Get a point-in-time description of the query."""
return await self._inner.describe()
async def reader(self) -> AsyncRecordBatchReader:
"""Wait for the initial result stream and return its Arrow reader.
Results are single-consumer. Calling this method more than once on the
same query raises an error. Later batches are streamed as they become
available without waiting for the full query to finish.
"""
return AsyncRecordBatchReader(await self._inner.reader())
async def cancel(self) -> None:
"""Request cancellation of the query."""
await self._inner.cancel()
class Query:
"""Synchronous counterpart of :class:`AsyncQuery`."""
def __init__(self, inner: AsyncQuery):
self._inner = inner
@property
def id(self) -> UUID:
"""The stable identifier scoped to the connection that submitted it."""
return self._inner.id
def describe(self) -> QueryDescription:
"""Get a point-in-time description of the query."""
return LOOP.run(self._inner.describe())
def reader(self) -> pa.RecordBatchReader:
"""Wait for the initial result stream and return a blocking reader.
Results are single-consumer. Calling this method more than once on the
same query raises an error. Later batches block only until they become
available, without waiting for the full query to finish.
"""
reader = LOOP.run(self._inner.reader())
def next_batch():
try:
return LOOP.run(reader.__anext__())
except StopAsyncIteration:
return None
def batches():
while (batch := next_batch()) is not None:
yield batch
return pa.RecordBatchReader.from_batches(reader.schema, batches())
def cancel(self) -> None:
"""Request cancellation of the query."""
LOOP.run(self._inner.cancel())
__all__ = ["AsyncQuery", "Query", "QueryDescription"]
+40 -6
View File
@@ -1547,7 +1547,9 @@ class Table(ABC):
on: Union[str, Iterable[str]]
A column (or columns) to join on. This is how records from the
source table and target table are matched. Typically this is some
kind of key or id column.
kind of key or id column. Passing several columns matches on the
composite key: a source row updates a target row only when it
agrees on every one of them.
Examples
--------
@@ -1678,9 +1680,9 @@ class Table(ABC):
Offsets are mostly useful for sampling as the set of all valid offsets is easily
known in advance to be [0, len(table)).
No guarantees are made regarding the order in which results are returned. If
you desire an output order that matches the order of the given offsets, you will
need to add the row offset column to the output and align it yourself.
No guarantees are made regarding the order in which results are returned.
Repeated offsets produce repeated rows, which makes this method suitable for
sampling with replacement.
Parameters
----------
@@ -1791,6 +1793,9 @@ class Table(ABC):
The result has the same length and order as ``row_ids``. Null blobs
produce null slots; valid empty blobs produce ``b""``.
``_rowid`` values stay valid after compaction when the table has stable
row ids.
Convenience for small payloads. For large values use
:meth:`fetch_blob_files`.
"""
@@ -1808,6 +1813,9 @@ class Table(ABC):
The result has the same length and order as ``requests``; null blobs
produce null slots and empty ranges on non-null blobs produce ``b""``.
``_rowid`` values stay valid after compaction when the table has stable
row ids.
Row IDs can be obtained from a query with ``with_row_id(True)``. This
API is currently supported only by local tables.
"""
@@ -1823,6 +1831,9 @@ class Table(ABC):
``_rowid`` or a ``_lance_row_id`` field on the blob descriptor. Null
rows are ``None``. Remote tables require LanceDB Cloud server 0.5.0 or
newer.
``_rowid`` values stay valid after compaction when the table has stable
row ids.
"""
@abstractmethod
@@ -4090,6 +4101,7 @@ class LanceTable(Table):
)
and not self._route_pushdown_to_rust
and self.current_branch() is None
and query.take_offsets is None
):
from lancedb.namespace import _execute_server_side_query
@@ -5700,7 +5712,9 @@ class AsyncTable:
on: Union[str, Iterable[str]]
A column (or columns) to join on. This is how records from the
source table and target table are matched. Typically this is some
kind of key or id column.
kind of key or id column. Passing several columns matches on the
composite key: a source row updates a target row only when it
agrees on every one of them.
Examples
--------
@@ -5983,7 +5997,23 @@ class AsyncTable:
def _sync_query_to_async(
self, query: Query
) -> AsyncHybridQuery | AsyncFTSQuery | AsyncVectorQuery | AsyncQuery:
) -> (
AsyncHybridQuery
| AsyncFTSQuery
| AsyncVectorQuery
| AsyncQuery
| AsyncTakeQuery
):
if query.take_offsets is not None:
take_query = self.take_offsets(query.take_offsets)
if query.columns:
take_query = take_query.select(query.columns)
if query.use_lsm is not None:
take_query = take_query.use_lsm(query.use_lsm)
if query.with_row_id:
take_query = take_query.with_row_id()
return take_query
async_query = self.query()
if query.limit is not None:
async_query = async_query.limit(query.limit)
@@ -6048,6 +6078,7 @@ class AsyncTable:
self._namespace_client, self._pushdown_operations
)
and not self._route_pushdown_to_rust
and query.take_offsets is None
):
from lancedb.namespace import _execute_server_side_query
@@ -6545,6 +6576,9 @@ class AsyncTable:
Offsets are mostly useful for sampling as the set of all valid offsets is easily
known in advance to be [0, len(table)).
No guarantees are made regarding the order in which results are returned.
Repeated offsets produce repeated rows.
Parameters
----------
offsets: list[int]
+56 -1
View File
@@ -66,6 +66,25 @@ def _row_ids_by_id(table):
return dict(zip(hits["id"].to_pylist(), hits["_rowid"].to_pylist()))
def _assert_missing_blob_row_ids(exc_info):
message = str(exc_info.value)
assert "row ids" in message
assert "rowaddr" not in message
assert "fragment" not in message
def _assert_fetch_apis_reject_missing_row_ids(table, row_ids):
with pytest.raises(ValueError) as exc_info:
table.fetch_blobs("image", row_ids)
_assert_missing_blob_row_ids(exc_info)
with pytest.raises(ValueError) as exc_info:
table.fetch_blob_files("image", row_ids)
_assert_missing_blob_row_ids(exc_info)
with pytest.raises(ValueError) as exc_info:
table.fetch_blob_ranges("image", [(row_id, 0, 1) for row_id in row_ids])
_assert_missing_blob_row_ids(exc_info)
def test_blob_factory_declares_v2_field():
field = lancedb.blob("image")
assert isinstance(field.type, pa.ExtensionType)
@@ -691,6 +710,25 @@ def test_fetch_blobs_accepts_query_result():
assert {blobs[i].as_py() for i in range(len(blobs))} == {b"gamma"}
def test_fetch_blobs_after_compact_with_stable_row_ids(tmp_path):
db = lancedb.connect(
tmp_path, storage_options={"new_table_enable_stable_row_ids": "true"}
)
schema = pa.schema([pa.field("id", pa.int64()), lancedb.blob("image")])
table = db.create_table("t", schema=schema)
table.add([{"id": 1, "image": b"frag-one"}])
table.add([{"id": 2, "image": b"frag-two"}])
by_id = _row_ids_by_id(table)
ids = [by_id[1], by_id[2]]
table.optimize()
blobs = table.fetch_blobs("image", ids)
assert blobs.to_pylist() == [b"frag-one", b"frag-two"]
ranges = table.fetch_blob_ranges("image", [(ids[0], 5, 3), (ids[1], 5, 3)])
assert ranges.to_pylist() == [b"one", b"two"]
def test_fetch_blobs_preserves_null_and_empty_values():
table = _blob_table(
"nulls",
@@ -739,8 +777,25 @@ def test_fetch_blob_ranges_validates_requests():
with pytest.raises(ValueError, match="offset \\+ length overflowed"):
table.fetch_blob_ranges("image", [(row_id, 2**64 - 1, 1)])
with pytest.raises(ValueError, match="row IDs"):
with pytest.raises(ValueError) as exc_info:
table.fetch_blob_ranges("image", [(2**64 - 1, 0, 1)])
_assert_missing_blob_row_ids(exc_info)
def test_fetch_blob_apis_reject_missing_fragment_row_addr():
table = _blob_table("missing_frag", [{"id": 1, "image": b"x"}])
live = _row_ids_by_id(table)[1]
_assert_fetch_apis_reject_missing_row_ids(table, [1 << 32, live])
def test_fetch_blob_apis_reject_deleted_row_ids():
table = _blob_table(
"deleted_rows",
[{"id": 1, "image": b"one"}, {"id": 2, "image": b"two"}],
)
by_id = _row_ids_by_id(table)
table.delete("id = 2")
_assert_fetch_apis_reject_missing_row_ids(table, [by_id[2], by_id[1]])
def test_fetch_blob_ranges_empty_requests_returns_empty_array():
@@ -37,6 +37,22 @@ def job_result(name: str) -> dict:
return json.loads(fixture(name))["result"]
def assert_no_secret_values(value):
"""No client value models a resolved credential, at any nesting depth."""
if isinstance(value, dict):
for key, child in value.items():
assert key not in {
"secret_value",
"secret_values",
"resolved_secret",
"resolved_secrets",
}
assert_no_secret_values(child)
elif isinstance(value, list):
for child in value:
assert_no_secret_values(child)
def test_public_function_values_are_in_api_reference():
docs = Path(__file__).parents[3] / "docs" / "src" / "python" / "python.md"
rendered = docs.read_text()
@@ -94,6 +110,7 @@ def test_function_version_identity_is_immutable_and_exact():
version = FunctionVersion.from_json(json.dumps(value))
assert version.name == "embed"
assert version.version == "fv_01K3EXACT"
assert dict(version.secret_bindings) == {"HF_TOKEN": "hf-prod"}
with pytest.raises((TypeError, ValueError)):
version.version = "fv_changed"
@@ -276,6 +293,25 @@ def test_refresh_result_rejects_non_u64_values(field):
RefreshColumnResult.from_json(json.dumps(value))
def test_canonical_client_values_carry_bindings_and_no_credentials():
"""A binding names a Secret; the credential behind it has no client field."""
version = FunctionVersion.from_json(
json.dumps(job_result("remote_function_job.json"))
)
canonical = json.loads(version.to_canonical_json())
assert canonical["secret_bindings"] == {"HF_TOKEN": "hf-prod"}
assert_no_secret_values(canonical)
def test_a_version_without_bindings_keeps_the_original_wire_shape():
"""Every Function registered before Secrets existed serializes unchanged."""
value = job_result("remote_function_job.json")
del value["secret_bindings"]
version = FunctionVersion.from_json(json.dumps(value))
assert dict(version.secret_bindings) == {}
assert "secret_bindings" not in json.loads(version.to_canonical_json())
class _FunctionDeclarationInner:
def __init__(self):
self.calls = []
@@ -12,6 +12,8 @@ from datetime import date
import http.server
import json
from pathlib import Path
import subprocess
import sys
import threading
from typing import Optional
@@ -26,6 +28,7 @@ from lancedb.functions import (
_GRAMMAR_PRIMITIVES,
udf,
)
from lancedb.secrets import EnvVarSecret
THRESHOLD = 20
_CACHE = None
@@ -51,6 +54,15 @@ def normalize_score(value: float) -> float:
return value / 100.0
@udf(
pip=["openai==3.7.0"],
env={"MODE": "test"},
python_version="3.12",
)
def analyze_caption(caption: str) -> str:
return caption.strip()
def test_scalar_udf_matches_shared_registration_golden_and_remains_callable():
assert isinstance(normalize_score, UdfDefinition)
assert normalize_score(25.0) == 0.25
@@ -67,6 +79,209 @@ def test_scalar_udf_matches_shared_registration_golden_and_remains_callable():
}
def test_secret_bound_udf_matches_its_shared_registration_golden():
assert analyze_caption(" hello ") == "hello"
bound = analyze_caption.bind_secrets(
[EnvVarSecret(secret="openai-prod", env_variable="OPENAI_API_KEY")]
)
assert (
bound.to_canonical_json()
== (FIXTURES / "remote_function_secret_registration_request.canonical.json")
.read_text()
.strip()
)
def test_a_namespaced_binding_records_the_full_id():
"""A binding records the id the service resolves: path plus name.
At the root that is the bare name, so a root binding is unchanged from
before namespaces existed -- which is what keeps the wire shape stable.
"""
root = EnvVarSecret(secret="openai-prod", env_variable="OPENAI_API_KEY")
assert root.secret_id == "openai-prod"
assert root.namespace_path == []
nested = EnvVarSecret(
secret="openai-prod",
env_variable="OPENAI_API_KEY",
namespace_path=["prod", "vision"],
)
assert nested.secret_id == "prod$vision$openai-prod"
assert nested.namespace_path == ["prod", "vision"]
assert nested != root
bound = analyze_caption.bind_secrets([nested])
assert bound.secret_bindings == {"OPENAI_API_KEY": "prod$vision$openai-prod"}
def test_a_namespace_path_is_validated_locally():
# The delimiter is why the charset is closed: a segment carrying one would
# make the same id parse two ways.
with pytest.raises(ValueError):
EnvVarSecret(
secret="openai-prod", env_variable="K", namespace_path=["with$delim"]
)
with pytest.raises(ValueError):
EnvVarSecret(secret="openai-prod", env_variable="K", namespace_path=["a/b"])
# A bare string is a plausible mistake with the wrong meaning.
with pytest.raises(TypeError):
EnvVarSecret(secret="openai-prod", env_variable="K", namespace_path="prod")
def test_an_unbound_request_carries_no_binding_at_all():
"""Binding is a registration-time decision, so the definition holds none.
The decorator declares nothing about secrets, which is what makes the PRD's
claim true: a Function's source and its registration request are identical
whether or not a credential is later bound to it.
"""
unbound = json.loads(analyze_caption.registration_request.to_canonical_json())
assert "secret_bindings" not in unbound
assert "OPENAI_API_KEY" not in json.dumps(unbound)
def test_binding_a_secret_leaves_the_packaged_artifact_untouched():
"""The artifact is source bytes and nothing else, with or without secrets."""
bound = analyze_caption.bind_secrets(
[EnvVarSecret(secret="openai-prod", env_variable="OPENAI_API_KEY")]
)
assert bound.artifact == analyze_caption.registration_request.artifact
assert bound.artifact.digest == analyze_caption.registration_request.artifact.digest
def test_a_function_declaring_no_secret_is_registered_exactly_as_before():
"""The compatibility claim: nothing about the no-secret path moves."""
assert (
normalize_score.bind_secrets(None).to_canonical_json()
== normalize_score.registration_request.to_canonical_json()
)
assert (
"secret_bindings"
not in normalize_score.registration_request.to_canonical_json()
)
def test_a_function_binds_each_variable_once():
with pytest.raises(ValueError, match="binds each environment variable once"):
analyze_caption.bind_secrets(
[
EnvVarSecret(secret="openai-prod", env_variable="OPENAI_API_KEY"),
EnvVarSecret(secret="openai-staging", env_variable="OPENAI_API_KEY"),
]
)
def test_bindings_may_not_collide_with_plain_configuration():
"""`env` is stored with the Function; a Secret is not. Refuse, do not pick."""
with pytest.raises(ValueError, match="must be disjoint"):
analyze_caption.bind_secrets(
[EnvVarSecret(secret="mode-prod", env_variable="MODE")]
)
def test_a_function_binds_at_most_sixteen_secrets():
bindings = [
EnvVarSecret(secret=f"secret-{index}", env_variable=f"TOKEN_{index}")
for index in range(17)
]
with pytest.raises(ValueError, match="at most 16 secrets"):
normalize_score.bind_secrets(bindings)
def test_a_credential_value_is_rejected_in_the_binding_position():
"""The one mistake the typed binding exists to stop."""
with pytest.raises(TypeError, match="EnvVarSecret"):
analyze_caption.bind_secrets(["sk-live-0001"])
@pytest.mark.parametrize(
("secret", "variable", "message"),
[
("openai-prod", "not-a-var", "invalid environment variable name"),
("openai-prod", "API-TOKEN", "invalid environment variable name"),
("not a name", "API_TOKEN", "invalid Secret name"),
],
)
def test_a_binding_validates_both_names_locally(secret, variable, message):
with pytest.raises(ValueError, match=message):
EnvVarSecret(secret=secret, env_variable=variable)
def _main_udf_source(
*, threshold: int = 20, input_annotation: str = "int", comparison: str = ">="
) -> str:
return (
"from __future__ import annotations\n"
"from lancedb.functions import udf\n"
f"THRESHOLD = {threshold}\n"
"\n"
"@udf\n"
f"def label(value: {input_annotation}) -> str:\n"
f" return 'big' if value {comparison} THRESHOLD else 'small'\n"
"\n"
"assert label.__module__ == '__main__'\n"
"print(label.registration_request.to_canonical_json())\n"
)
def _run_main_udf(path: Path, source: str) -> dict:
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(source)
result = subprocess.run(
[sys.executable, str(path)],
check=True,
capture_output=True,
text=True,
)
return json.loads(result.stdout)
def test_main_udf_registration_identity_is_stable_across_processes_and_paths(
tmp_path,
):
source = _main_udf_source()
original_path = tmp_path / "original" / "job.py"
moved_path = tmp_path / "moved" / "renamed_job.py"
original_runs = [_run_main_udf(original_path, source) for _ in range(2)]
moved_run = _run_main_udf(moved_path, source)
assert len({run["artifact"]["digest"] for run in [*original_runs, moved_run]}) == 1
assert all(
run["signature"] == original_runs[0]["signature"]
for run in [original_runs[1], moved_run]
)
assert original_runs[0] == original_runs[1] == moved_run
body_change = _run_main_udf(
tmp_path / "changes" / "body.py", _main_udf_source(comparison=">")
)
global_change = _run_main_udf(
tmp_path / "changes" / "global.py", _main_udf_source(threshold=21)
)
annotation_change = _run_main_udf(
tmp_path / "changes" / "annotation.py",
_main_udf_source(input_annotation="float"),
)
baseline = original_runs[0]
assert baseline["signature"] == body_change["signature"]
assert baseline["signature"] == global_change["signature"]
assert baseline["signature"] != annotation_change["signature"]
assert (
len(
{
baseline["artifact"]["digest"],
body_change["artifact"]["digest"],
global_change["artifact"]["digest"],
annotation_change["artifact"]["digest"],
}
)
== 4
)
def _run_packaged(definition, *args):
"""Execute the shipped artifact in a fresh namespace, as a worker would."""
source = base64.b64decode(definition.registration_request.artifact.content.data)
@@ -592,6 +807,167 @@ def test_blob_fields_use_the_scalar_function_semantic_type():
assert signature.output.arrow_type == "blob_v2"
def test_whole_named_struct_function_can_include_a_blob_result_field():
@udf(
input_schema=pa.schema([lancedb.blob("image", nullable=False)]),
output_schema=pa.field(
"payload",
pa.struct(
[
pa.field("mime_type", pa.string(), nullable=False),
lancedb.blob("image", nullable=False),
]
),
nullable=False,
),
)
def inspect_blob(image):
return {"mime_type": "image/png", "image": image}
output = inspect_blob.registration_request.signature.output
assert output.kind == "named_struct"
assert [(field.name, field.arrow_type) for field in output.fields] == [
("mime_type", "utf8"),
("image", "blob_v2"),
]
def test_struct_blob_signature_fields_preserve_exact_metadata_and_nullability():
nested_input = pa.field(
"payload",
pa.struct(
[
pa.field("mime_type", pa.string(), nullable=False),
pa.field(
"nested",
pa.struct([lancedb.blob("image", nullable=True)]),
nullable=True,
),
]
),
nullable=True,
)
nested_output = pa.field(
"result",
pa.struct(
[
pa.field("mime_type", pa.string(), nullable=False),
pa.field(
"nested",
pa.struct([lancedb.blob("image", nullable=True)]),
nullable=False,
),
]
),
nullable=False,
)
@udf(input_schema=pa.schema([nested_input]), output_schema=nested_output)
def copy_payload(payload):
return payload
signature = copy_payload.registration_request.signature
input_type = json.loads(signature.inputs[0].arrow_type)
assert input_type["fields"][1]["nullable"] is True
input_blob = input_type["fields"][1]["type"]["fields"][0]
assert input_blob["nullable"] is True
assert input_blob["metadata"] == {"ARROW:extension:name": "lance.blob.v2"}
assert signature.output.kind == "named_struct"
nested_result = next(
field for field in signature.output.fields if field.name == "nested"
)
output_type = json.loads(nested_result.arrow_type)
output_blob = output_type["fields"][0]
assert output_blob["nullable"] is True
assert output_blob["metadata"] == {"ARROW:extension:name": "lance.blob.v2"}
def test_struct_blob_signature_supports_multiple_struct_levels():
recursive = pa.field(
"value",
pa.struct(
[
pa.field(
"level_1",
pa.struct(
[
pa.field(
"level_2",
pa.struct([lancedb.blob("image", nullable=False)]),
nullable=False,
)
]
),
nullable=False,
)
]
),
nullable=False,
)
@udf(
input_schema=pa.schema([recursive]),
output_schema=pa.field("size", pa.int64(), nullable=False),
)
def blob_size(value):
return len(value["level_1"]["level_2"]["image"])
encoded = json.loads(blob_size.registration_request.signature.inputs[0].arrow_type)
blob = encoded["fields"][0]["type"]["fields"][0]["type"]["fields"][0]
assert blob["metadata"]["ARROW:extension:name"] == "lance.blob.v2"
@pytest.mark.parametrize(
"data_type",
[
pa.list_(lancedb.blob("item", nullable=False)),
pa.large_list(lancedb.blob("item", nullable=False)),
pa.list_(lancedb.blob("item", nullable=False), 2),
pa.map_(pa.string(), lancedb.blob("value", nullable=False).type),
],
)
def test_blob_signature_rejects_collection_ancestors(data_type):
with pytest.raises(
TypeError,
match="Blob v2 fields nested under collection types are not supported",
):
@udf(
input_schema=pa.schema([pa.field("value", data_type, nullable=False)]),
output_schema=pa.field("size", pa.int64(), nullable=False),
)
def blob_size(value):
return len(value)
def test_blob_signature_rejects_collection_below_a_struct():
nested = pa.field(
"value",
pa.struct(
[
pa.field(
"images",
pa.list_(lancedb.blob("item", nullable=False)),
nullable=False,
)
]
),
nullable=False,
)
with pytest.raises(
TypeError,
match="Blob v2 fields nested under collection types are not supported",
):
@udf(
input_schema=pa.schema([nested]),
output_schema=pa.field("size", pa.int64(), nullable=False),
)
def blob_size(value):
return len(value["images"])
def test_named_struct_function_can_include_a_blob_result_field():
@udf(
input_schema=pa.schema([lancedb.blob("image", nullable=False)]),
@@ -613,6 +989,43 @@ def test_named_struct_function_can_include_a_blob_result_field():
]
def test_named_struct_function_preserves_nullable_result_fields():
@udf(
input_schema=pa.schema([pa.field("value", pa.int64(), nullable=False)]),
output_schema=pa.schema(
[
pa.field("result", pa.int64(), nullable=True),
pa.field("failure_code", pa.int32(), nullable=False),
]
),
)
def nullable_result(value):
return {"result": value, "failure_code": 0}
output = nullable_result.registration_request.signature.output
assert [(field.name, field.nullable) for field in output.fields] == [
("result", True),
("failure_code", False),
]
@udf(
input_schema=pa.schema([pa.field("value", pa.int64(), nullable=False)]),
output_schema=pa.schema(
[
pa.field("result", pa.int64(), nullable=True),
pa.field("failure_code", pa.int32(), nullable=True),
]
),
)
def all_nullable(value):
return {"result": value, "failure_code": None}
assert all(
field.nullable
for field in all_nullable.registration_request.signature.output.fields
)
def test_metadata_marked_blob_field_uses_the_semantic_type():
extension = lancedb.blob("image", nullable=False).type
storage = (
@@ -653,22 +1066,6 @@ def test_blob_marker_rejects_invalid_storage_layout():
return len(image)
def test_nested_blob_signature_field_has_a_clear_error():
nested = pa.field(
"value",
pa.struct([lancedb.blob("image", nullable=False)]),
nullable=False,
)
with pytest.raises(TypeError, match="nested Blob v2 fields are not supported"):
@udf(
input_schema=pa.schema([nested]),
output_schema=pa.field("size", pa.int64(), nullable=False),
)
def blob_size(value):
return len(value["image"])
def test_nested_non_blob_extension_is_not_silently_unwrapped():
class TestExtension(pa.ExtensionType):
def __init__(self):
@@ -941,6 +1338,10 @@ def test_local_function_catalog_operations_are_not_supported(tmp_path):
db.create_function_async(normalize_score)
with pytest.raises(NotImplementedError, match=message):
db.get_function("normalize_score", version="fv_exact")
with pytest.raises(NotImplementedError, match=message):
db.list_functions()
with pytest.raises(NotImplementedError, match=message):
db.drop_function("normalize_score", version="fv_exact")
@contextlib.contextmanager
@@ -968,6 +1369,7 @@ def _mock_remote_function_catalog():
"runtime": body["runtime"],
"runtime_digest": "sha256:runtime",
"environment_digest": "sha256:environment",
"secret_bindings": body.get("secret_bindings", {}),
"created_at": "2026-08-21T00:00:00Z",
}
response = {"job_id": "job-register"}
@@ -986,6 +1388,43 @@ def _mock_remote_function_catalog():
"version": "fv_exact",
}
response = state["version"]
elif self.path == "/v1/functions/list":
assert body["include_definition"] is True
if "page_token" not in body:
response = {
"functions": [
{
"name": "normalize_score",
"version": "fv_exact",
"definition": state["version"],
}
],
"page_token": "next",
}
else:
assert body["page_token"] == "next"
response = {"functions": []}
elif self.path == "/v1/functions/drop":
assert body == {
"name": "normalize_score",
"version": "fv_exact",
}
response = {"dropped": True}
elif self.path in ("/v1/secrets/create", "/v1/secrets/alter"):
assert set(body) == {"name", "value"}
response = {}
elif self.path == "/v1/secrets/list":
if "page_token" not in body:
response = {
"secrets": [{"name": "openai-prod"}],
"page_token": "next",
}
else:
assert body["page_token"] == "next"
response = {"secrets": [{"name": "hf-prod"}]}
elif self.path == "/v1/secrets/drop":
assert body == {"name": "openai-prod"}
response = {}
else:
status = 404
response = {"error": "not found"}
@@ -1028,6 +1467,71 @@ def test_remote_registration_job_and_exact_version_reopen_round_trip():
)
def test_remote_registration_sends_bindings_and_never_a_credential():
with _mock_remote_function_catalog() as (host, state):
db = lancedb.connect(
"db://dev",
api_key="fake",
host_override=host,
client_config={"retry_config": {"retries": 0}},
)
created = db.create_function(
analyze_caption,
secrets=[EnvVarSecret(secret="openai-prod", env_variable="OPENAI_API_KEY")],
)
assert dict(created.secret_bindings) == {"OPENAI_API_KEY": "openai-prod"}
path, create_request = state["requests"][0]
assert path == "/v1/functions/create"
assert create_request["secret_bindings"] == {"OPENAI_API_KEY": "openai-prod"}
# The request names a Secret and carries nothing that could be one.
assert create_request == json.loads(
analyze_caption.bind_secrets(
[EnvVarSecret(secret="openai-prod", env_variable="OPENAI_API_KEY")]
).to_canonical_json()
)
def test_remote_secret_verbs_round_trip():
with _mock_remote_function_catalog() as (host, state):
db = lancedb.connect(
"db://dev",
api_key="fake",
host_override=host,
client_config={"retry_config": {"retries": 0}},
)
assert db.create_secret("openai-prod", "sk-live-0001") is None
assert db.alter_secret("openai-prod", "sk-live-0002") is None
assert db.list_secrets() == ["openai-prod", "hf-prod"]
assert db.drop_secret("openai-prod") is None
routes = [path for path, _ in state["requests"]]
assert routes == [
"/v1/secrets/create",
"/v1/secrets/alter",
"/v1/secrets/list",
"/v1/secrets/list",
"/v1/secrets/drop",
]
assert state["requests"][0][1] == {"name": "openai-prod", "value": "sk-live-0001"}
# The listing returns names, and the client has no way to ask for more.
assert state["requests"][2][1] == {}
def test_building_a_binding_contacts_no_server():
"""A binding is a local value: it says nothing about whether the Secret exists.
Existence is the server's answer at registration, where a mistyped name is a
clear error rather than a client-side check that was already stale.
"""
with _mock_remote_function_catalog() as (_host, state):
binding = EnvVarSecret(secret="openai-prod", env_variable="OPENAI_API_KEY")
assert binding.secret == "openai-prod"
assert binding.env_variable == "OPENAI_API_KEY"
assert state["requests"] == []
def test_blocking_remote_registration_returns_function_version():
with _mock_remote_function_catalog() as (host, state):
db = lancedb.connect(
@@ -1044,3 +1548,83 @@ def test_blocking_remote_registration_returns_function_version():
"/v1/functions/create",
"/v1/jobs/describe",
]
def test_remote_list_functions_paginates_and_returns_typed_versions():
with _mock_remote_function_catalog() as (host, state):
db = lancedb.connect(
"db://dev",
api_key="fake",
host_override=host,
client_config={"retry_config": {"retries": 0}},
)
created = db.create_function(normalize_score)
state["requests"].clear()
functions = db.list_functions()
assert functions == [created]
assert state["requests"] == [
("/v1/functions/list", {"include_definition": True}),
(
"/v1/functions/list",
{"include_definition": True, "page_token": "next"},
),
]
@pytest.mark.asyncio
async def test_async_remote_list_functions_returns_typed_versions():
with _mock_remote_function_catalog() as (host, state):
db = await lancedb.connect_async(
"db://dev",
api_key="fake",
host_override=host,
client_config={"retry_config": {"retries": 0}},
)
registration = await db.create_function_async(normalize_score)
created = await registration.wait()
state["requests"].clear()
functions = await db.list_functions()
assert functions == [created]
assert [path for path, _ in state["requests"]] == [
"/v1/functions/list",
"/v1/functions/list",
]
def test_remote_drop_function_sends_exact_version():
with _mock_remote_function_catalog() as (host, state):
db = lancedb.connect(
"db://dev",
api_key="fake",
host_override=host,
client_config={"retry_config": {"retries": 0}},
)
assert db.drop_function("normalize_score", version="fv_exact") is True
assert state["requests"] == [
(
"/v1/functions/drop",
{"name": "normalize_score", "version": "fv_exact"},
)
]
@pytest.mark.asyncio
async def test_async_remote_drop_function_sends_exact_version():
with _mock_remote_function_catalog() as (host, state):
db = await lancedb.connect_async(
"db://dev",
api_key="fake",
host_override=host,
client_config={"retry_config": {"retries": 0}},
)
assert await db.drop_function("normalize_score", version="fv_exact") is True
assert state["requests"] == [
(
"/v1/functions/drop",
{"name": "normalize_score", "version": "fv_exact"},
)
]
+24 -6
View File
@@ -54,7 +54,10 @@ class TestOAuthProvider:
provider = OAuthProvider(fetcher)
headers = provider.get_headers()
assert headers == {"Authorization": "Bearer token123"}
assert headers == {
"Authorization": "Bearer token123",
"x-lancedb-credential-type": "oidc",
}
assert provider._current_token == "token123"
assert provider._token_expires_at is not None
@@ -73,14 +76,20 @@ class TestOAuthProvider:
# First call
headers1 = provider.get_headers()
assert headers1 == {"Authorization": "Bearer token1"}
assert headers1 == {
"Authorization": "Bearer token1",
"x-lancedb-credential-type": "oidc",
}
# Wait for token to expire
time.sleep(1.1)
# Second call should refresh
headers2 = provider.get_headers()
assert headers2 == {"Authorization": "Bearer token2"}
assert headers2 == {
"Authorization": "Bearer token2",
"x-lancedb-credential-type": "oidc",
}
assert call_count == 2
def test_no_expiry_info(self):
@@ -92,12 +101,18 @@ class TestOAuthProvider:
provider = OAuthProvider(fetcher)
headers = provider.get_headers()
assert headers == {"Authorization": "Bearer permanent_token"}
assert headers == {
"Authorization": "Bearer permanent_token",
"x-lancedb-credential-type": "oidc",
}
assert provider._token_expires_at is None
# Should not refresh on second call
headers2 = provider.get_headers()
assert headers2 == {"Authorization": "Bearer permanent_token"}
assert headers2 == {
"Authorization": "Bearer permanent_token",
"x-lancedb-credential-type": "oidc",
}
def test_missing_access_token(self):
"""Test error handling when access_token is missing."""
@@ -121,7 +136,10 @@ class TestOAuthProvider:
provider = OAuthProvider(fetcher)
headers = provider.get_headers()
assert headers == {"Authorization": "Bearer sync_token"}
assert headers == {
"Authorization": "Bearer sync_token",
"x-lancedb-credential-type": "oidc",
}
class TestClientConfigIntegration:
@@ -266,3 +266,38 @@ async def test_async_namespace_connection_materialized_views(tmp_path):
handle._route_pushdown_to_rust == through_namespace._route_pushdown_to_rust
)
assert handle._namespace_path == through_namespace._namespace_path
def test_namespaced_select_kind_is_read_and_unknown_kinds_are_refused():
import json
import pyarrow as pa
from lancedb.materialized_view import _definition_from_schema
def schema_with(definition: dict) -> pa.Schema:
return pa.schema([pa.field("id", pa.int32())]).with_metadata(
{b"mv.definition": json.dumps(definition).encode()}
)
# "namespaced_select" is the namespaced form of "select": same shape,
# a separate kind so readers that predate it refuse instead of
# resolving the source at the root.
definition = _definition_from_schema(
schema_with(
{
"kind": "namespaced_select",
"source_table": "people",
"source_namespace": ["ns"],
"projections": [{"output": "name", "expression": "name"}],
}
),
"v",
)
assert definition.source_table == "people"
assert definition.source_namespace == ["ns"]
with pytest.raises(NotImplementedError, match="cannot refresh"):
_definition_from_schema(
schema_with({"kind": "select_v3", "source_table": "people"}), "v"
)
+15
View File
@@ -1923,6 +1923,21 @@ def test_take_queries(tmp_path):
17,
]
# Duplicate offsets are occurrences, not set members. Ordering is unspecified.
assert sorted(table.take_offsets([5, 2, 5, 17]).to_pandas()["idx"].to_list()) == [
2,
5,
5,
17,
]
# Converting a take builder to its serializable query representation must
# retain occurrence metadata and execute with the same multiplicity.
query = table.take_offsets([5, 2, 5, 17]).select(["idx"]).to_query_object()
assert query.take_offsets == [5, 2, 5, 17]
converted = table._execute_query(query).read_all()
assert sorted(converted["idx"].to_pylist()) == [2, 5, 5, 17]
# Take by row id
assert list(
sorted(table.take_row_ids([5, 2, 17]).to_pandas()["idx"].to_list())
+156 -21
View File
@@ -479,24 +479,49 @@ def test_remote_permutation_is_picklable():
match = re.search(
r"_rowoffset\s+in\s+\((.*?)\)", body["filter"], re.IGNORECASE
)
offsets = [int(o.strip()) for o in match.group(1).split(",")]
offsets = list(
dict.fromkeys(int(o.strip()) for o in match.group(1).split(","))
)
else:
offsets = list(range(len(rows)))
table = pa.table({"a": [rows[offset] for offset in offsets]})
columns = body.get("columns") or ["a"]
table = pa.table(
{
column: (
[rows[offset] for offset in offsets]
if column == "a"
else offsets
)
for column in columns
}
)
request.send_response(200)
request.send_header("Content-Type", "application/vnd.apache.arrow.file")
request.end_headers()
with pa.ipc.new_file(request.wfile, schema=table.schema) as writer:
writer.write_table(table)
writer.write_table(table, max_chunksize=2)
else:
request.send_response(404)
request.end_headers()
with mock_lancedb_connection(handler) as db:
permutation = Permutation.identity(db.open_table("test"))
table = db.open_table("test")
assert table.take_offsets([0, 2, 0, 4]).to_list() == [
{"a": 0},
{"a": 0},
{"a": 2},
{"a": 4},
]
permutation = Permutation.identity(table)
restored = pickle.loads(pickle.dumps(permutation))
assert restored.__getitems__([0, 2, 4]) == [{"a": 0}, {"a": 2}, {"a": 4}]
assert restored.__getitems__([0, 2, 0, 4]) == [
{"a": 0},
{"a": 2},
{"a": 0},
{"a": 4},
]
def test_create_table_exist_ok():
@@ -795,11 +820,13 @@ def test_table_create_indices():
scalar_req = received_requests[0]
assert "name" in scalar_req
assert scalar_req["name"] == "custom_scalar_idx"
assert scalar_req["replace"] is False
# Check FTS index request has custom name
fts_req = received_requests[1]
assert "name" in fts_req
assert fts_req["name"] == "custom_fts_idx"
assert fts_req["replace"] is False
assert fts_req["block_size"] == 256
assert fts_req["custom_stop_words"] == ["cloud"]
@@ -807,6 +834,7 @@ def test_table_create_indices():
vector_req = received_requests[2]
assert "name" in vector_req
assert vector_req["name"] == "custom_vector_idx"
assert "replace" not in vector_req
table.wait_for_index(["custom_scalar_idx"], timedelta(seconds=2))
table.wait_for_index(
@@ -1079,6 +1107,9 @@ def test_remote_create_index_new_api():
table.create_index("text", config=FTS(block_size=256))
# IvfRq via new API
table.create_index("vector", config=IvfRq(distance_type="l2"))
table.create_index(
"vector", config=IvfPq(distance_type="l2"), replace=False
)
# Legacy index_type="IVF_RQ" routes to IvfRq config under the hood.
with pytest.warns(DeprecationWarning, match="create_index"):
@@ -1088,15 +1119,17 @@ def test_remote_create_index_new_api():
num_partitions=8,
)
assert len(received_requests) == 5
assert len(received_requests) == 6
assert [req["column"] for req in received_requests] == [
"vector",
"category",
"text",
"vector",
"vector",
"vector",
]
assert received_requests[2]["block_size"] == 256
assert received_requests[4]["replace"] is False
def test_table_wait_for_index_timeout():
@@ -2434,7 +2467,7 @@ def test_remote_blob_byte_apis_not_supported_on_old_server():
def test_remote_connection_jobs_surface():
from lancedb.exceptions import JobFailedError
from lancedb.exceptions import JobFailedError, JobNotFoundError
schema = pa.schema([("state", pa.string())])
batch = pa.record_batch([pa.array(["created", "done"])], schema=schema)
@@ -2442,6 +2475,7 @@ def test_remote_connection_jobs_surface():
with pa.ipc.new_stream(sink, schema) as writer:
writer.write_batch(batch)
events_body = sink.getvalue().to_pybytes()
query_events_payloads = []
def handler(request):
content_len = int(request.headers.get("Content-Length", 0))
@@ -2479,6 +2513,22 @@ def test_remote_connection_jobs_surface():
request.end_headers()
request.wfile.write(json.dumps(rsp).encode())
elif request.path == "/v1/jobs/describe":
if payload["job_id"] == "job-2":
request.send_response(200)
request.send_header("Content-Type", "application/json")
request.end_headers()
request.wfile.write(
json.dumps(
dict(
job_id="job-2",
job_type="refresh_column",
job_state="DONE",
creation_ms=2000,
result=dict(rows_assigned=1000000, rows_failed=0),
)
).encode()
)
return
if payload["job_id"] != "job-1":
request.send_response(404)
request.end_headers()
@@ -2510,7 +2560,7 @@ def test_remote_connection_jobs_surface():
request.end_headers()
request.wfile.write(b'{"job_id": "job-1"}')
elif request.path == "/v1/jobs/query_events":
assert payload["job_id"] == "job-1"
query_events_payloads.append(payload)
request.send_response(200)
request.send_header("Content-Type", "application/vnd.apache.arrow.stream")
request.end_headers()
@@ -2526,24 +2576,109 @@ def test_remote_connection_jobs_surface():
assert jobs[0].table == "t1"
assert jobs[1].state == "finished"
description = db.get_job("job-1")
assert description.job_type == "create_index"
assert description.state == "failed"
assert json.loads(description.spec_json) == {"column": "vec"}
assert description.failure.message == "worker died"
assert description.failure.retryable is True
assert db.get_job("missing") is None
assert db.cancel_job("job-1") is True
assert db.cancel_job("missing") is False
batches = db.job_history("job-1")
assert len(batches) == 1
assert batches[0].num_rows == 2
assert batches[0].column("state").to_pylist() == ["created", "done"]
# Opening a job hands back a populated handle; a missing one fails.
with pytest.raises(JobNotFoundError, match="missing"):
db.open_job("missing")
finished = db.open_job("job-2")
assert finished.state == "finished"
assert finished.result == {"rows_assigned": 1000000, "rows_failed": 0}
job = db.job("job-1")
job = db.open_job("job-1")
assert job.id == "job-1"
# Opening already populated the handle.
assert job.state == "failed"
assert job.spec == {"column": "vec"}
assert job.failure.message == "worker died"
assert job.status() == "failed"
with pytest.raises(JobFailedError, match="worker died"):
job.wait(timeout=timedelta(seconds=5))
def test_remote_job_handle_reports_its_own_detail():
schema = pa.schema([("state", pa.string())])
batch = pa.record_batch([pa.array(["claim_complete"])], schema=schema)
sink = pa.BufferOutputStream()
with pa.ipc.new_stream(sink, schema) as writer:
writer.write_batch(batch)
events_body = sink.getvalue().to_pybytes()
event_payloads = []
def handler(request):
content_len = int(request.headers.get("Content-Length", 0))
body = request.rfile.read(content_len) if content_len > 0 else b""
payload = json.loads(body) if body else {}
if request.path == "/v1/jobs/describe":
request.send_response(200)
request.send_header("Content-Type", "application/json")
request.end_headers()
request.wfile.write(
json.dumps(
dict(
job_id="job-1",
job_type="refresh_column",
job_state="DONE",
creation_ms=2000,
spec=dict(column="vec"),
result=dict(rows_assigned=1000000),
)
).encode()
)
elif request.path == "/v1/jobs/query_events":
event_payloads.append(payload)
request.send_response(200)
request.send_header("Content-Type", "application/vnd.apache.arrow.stream")
request.end_headers()
request.wfile.write(events_body)
else:
request.send_response(404)
request.end_headers()
with mock_lancedb_connection(handler) as db:
job = db.open_job("job-1")
# Opening populates the handle in the same round trip.
assert job.state == "finished"
job.refresh()
assert job.job_type == "refresh_column"
assert job.creation_ms == 2000
assert job.spec == {"column": "vec"}
assert job.result == {"rows_assigned": 1000000}
assert job.failure is None
# The JSON payloads stay reachable, but as internal APIs.
assert json.loads(job._spec_json) == {"column": "vec"}
assert json.loads(job._result_json) == {"rows_assigned": 1000000}
# print() shows everything the handle knows and nothing it does not.
# print() lays every known field out on its own line, with the JSON
# payloads indented rather than crammed onto one line.
assert repr(job) == "\n".join(
[
"Job(",
" id='job-1',",
" state='finished',",
" job_type='refresh_column',",
" creation_ms=2000,",
" spec={",
' "column": "vec"',
" },",
" result={",
' "rows_assigned": 1000000',
" },",
")",
]
)
# Nothing it does not know shows up.
assert "failure" not in repr(job)
events = job.events(filter="state = 'claim_complete'", limit=500)
assert isinstance(events, pa.Table)
assert events.column("state").to_pylist() == ["claim_complete"]
# The handle supplies job_id; the caller only narrows the query.
assert event_payloads[-1] == {
"job_id": "job-1",
"limit": 500,
"filter": "state = 'claim_complete'",
}
+162
View File
@@ -0,0 +1,162 @@
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright The LanceDB Authors
from uuid import UUID
import pytest
import pyarrow as pa
import lancedb
from lancedb import _lancedb
from lancedb.arrow import AsyncRecordBatchReader
from lancedb.db import AsyncConnection
from lancedb.remote.db import RemoteDBConnection
from lancedb.sql import AsyncQuery, Query
NIL_QUERY_ID = UUID(int=0)
class FakeNativeQuery:
id = UUID("0198f1b2-c3d4-7e5f-8123-456789abcdef")
async def reader(self):
return pa.table({"value": [1, 2]})
class FakeNativeConnection:
async def execute_query_async(self, query, *, default_namespace_path=None):
return FakeNativeQuery()
class FakeAsyncConnection:
async def execute_query_async(self, query, *, default_namespace_path=None):
return AsyncQuery(FakeNativeQuery())
def remote_connection(sql_host_override=None):
return lancedb.connect(
"db://analytics",
api_key="test-key",
host_override="http://localhost:10024",
sql_host_override=sql_host_override,
)
def test_sql_is_connection_scoped():
assert hasattr(lancedb, "sql")
assert not callable(lancedb.sql)
assert not hasattr(_lancedb, "sql")
assert not hasattr(remote_connection(), "sql")
assert hasattr(remote_connection(), "execute_query")
assert hasattr(remote_connection(), "execute_query_async")
assert hasattr(remote_connection(), "describe_query")
def test_query_id_is_uuid():
query = AsyncQuery(FakeNativeQuery())
assert isinstance(query.id, UUID)
assert Query(query).id == query.id
def test_connection_serializes_sql_host_override():
endpoint = "grpc+tls://sql.example.com:10026"
restored = lancedb.deserialize_conn(
remote_connection(sql_host_override=endpoint).serialize()
)
assert restored.sql_host_override == endpoint
@pytest.mark.asyncio
async def test_async_sql_reader_is_record_batch_stream():
reader = await AsyncQuery(FakeNativeQuery()).reader()
assert isinstance(reader, AsyncRecordBatchReader)
assert (await reader.read_all())[0].column(0).to_pylist() == [1, 2]
def test_sync_sql_reader_is_record_batch_reader():
reader = Query(AsyncQuery(FakeNativeQuery())).reader()
assert isinstance(reader, pa.RecordBatchReader)
assert reader.read_all().column(0).to_pylist() == [1, 2]
def test_execute_query_returns_blocking_reader():
connection = RemoteDBConnection.__new__(RemoteDBConnection)
connection._conn = FakeAsyncConnection()
reader = connection.execute_query("SELECT 1")
assert isinstance(reader, pa.RecordBatchReader)
assert reader.read_all().column(0).to_pylist() == [1, 2]
@pytest.mark.asyncio
async def test_async_execute_query_returns_async_reader():
connection = AsyncConnection(FakeNativeConnection())
reader = await connection.execute_query("SELECT 1")
assert isinstance(reader, AsyncRecordBatchReader)
assert (await reader.read_all())[0].column(0).to_pylist() == [1, 2]
def test_local_connection_rejects_sql(tmp_path):
connection = lancedb.connect(tmp_path)
with pytest.raises(NotImplementedError, match="SQL"):
connection.execute_query("SELECT 1")
with pytest.raises(NotImplementedError, match="SQL"):
connection.execute_query_async("SELECT 1")
with pytest.raises(NotImplementedError, match="SQL"):
connection.describe_query(NIL_QUERY_ID)
@pytest.mark.asyncio
async def test_local_async_connection_rejects_sql(tmp_path):
connection = await lancedb.connect_async(tmp_path)
with pytest.raises(NotImplementedError, match="SQL"):
await connection.execute_query("SELECT 1")
with pytest.raises(NotImplementedError, match="SQL"):
await connection.execute_query_async("SELECT 1")
with pytest.raises(NotImplementedError, match="SQL"):
await connection.describe_query(NIL_QUERY_ID)
@pytest.mark.asyncio
async def test_async_namespace_connection_rejects_sql(tmp_path):
connection = lancedb.connect_namespace_async("dir", {"root": str(tmp_path)})
with pytest.raises(NotImplementedError, match="SQL"):
await connection.execute_query("SELECT 1")
with pytest.raises(NotImplementedError, match="SQL"):
await connection.execute_query_async("SELECT 1")
with pytest.raises(NotImplementedError, match="SQL"):
await connection.describe_query(NIL_QUERY_ID)
def test_describe_query_requires_uuid():
with pytest.raises(TypeError, match="UUID"):
remote_connection().describe_query(str(NIL_QUERY_ID))
@pytest.mark.parametrize(
"default_namespace_path",
["public", ("public",), [1]],
)
def test_execute_query_async_requires_namespace_path_list(default_namespace_path):
with pytest.raises(ValueError, match="default_namespace_path"):
remote_connection().execute_query_async(
"SELECT 1", default_namespace_path=default_namespace_path
)
def test_execute_query_async_rejects_invalid_endpoint():
connection = remote_connection(sql_host_override="invalid://localhost")
with pytest.raises(ValueError, match="sql_host_override"):
connection.execute_query_async("SELECT 1")
@pytest.mark.parametrize(
"default_namespace_path",
[[""], ["café"], ["pub\tlic"], ["events$raw"]],
)
def test_execute_query_async_rejects_invalid_namespace_components(
default_namespace_path,
):
with pytest.raises(ValueError, match="default_namespace_path"):
remote_connection().execute_query_async(
"SELECT 1", default_namespace_path=default_namespace_path
)
+37
View File
@@ -2682,6 +2682,43 @@ def test_merge_insert(mem_db: DBConnection):
)
def test_merge_insert_composite_key(mem_db: DBConnection):
table = mem_db.create_table(
"my_table",
data=pa.table(
{
"shard": ["a", "a", "b"],
"id": [1, 2, 1],
"val": ["x", "y", "z"],
}
),
)
# ("a", 1) matches an existing row and updates it. ("b", 2) agrees with an
# existing row on each key column separately but on neither pair, so it is
# an insert.
new_data = pa.table({"shard": ["a", "b"], "id": [1, 2], "val": ["X", "W"]})
res = (
table.merge_insert(["shard", "id"])
.when_matched_update_all()
.when_not_matched_insert_all()
.execute(new_data)
)
assert res.num_updated_rows == 1
assert res.num_inserted_rows == 1
expected = pa.table(
{
"shard": ["a", "a", "b", "b"],
"id": [1, 2, 1, 2],
"val": ["X", "y", "z", "W"],
}
)
assert table.to_arrow().sort_by([("shard", "ascending"), ("id", "ascending")]) == (
expected
)
def test_merge_insert_nullable_pandas_into_pydantic_schema(mem_db: DBConnection):
# Regression test for https://github.com/lancedb/lancedb/issues/2366
pd = pytest.importorskip("pandas")
+164 -36
View File
@@ -13,11 +13,7 @@ use crate::{
runtime::future_into_py,
table::Table,
};
use arrow::{
datatypes::Schema,
ffi_stream::ArrowArrayStreamReader,
pyarrow::{FromPyArrow, ToPyArrow},
};
use arrow::{datatypes::Schema, ffi_stream::ArrowArrayStreamReader, pyarrow::FromPyArrow};
use lancedb::{
connection::Connection as LanceConnection,
connection::NamespaceClientPushdownOperation,
@@ -28,7 +24,7 @@ use pyo3::{
Bound, FromPyObject, Py, PyAny, PyRef, PyResult, Python,
exceptions::{PyRuntimeError, PyValueError},
pyclass, pyfunction, pymethods,
types::{PyDict, PyDictMethods, PyList, PyListMethods},
types::{PyAnyMethods, PyDict, PyDictMethods, PyList},
};
#[pyclass]
@@ -86,6 +82,24 @@ impl Connection {
}
}
fn parse_default_namespace_path(path: Option<Bound<'_, PyAny>>) -> PyResult<Vec<String>> {
match path {
Some(path) => {
if !path.is_instance_of::<PyList>() {
return Err(PyValueError::new_err(
"Connection.execute_query_async default_namespace_path must be a list",
));
}
path.extract::<Vec<String>>().map_err(|_| {
PyValueError::new_err(
"Connection.execute_query_async default_namespace_path components must be strings",
)
})
}
None => Ok(vec!["public".to_string()]),
}
}
#[pymethods]
impl Connection {
fn __repr__(&self) -> String {
@@ -108,6 +122,40 @@ impl Connection {
self.get_inner().map(|inner| inner.uri().to_string())
}
#[pyo3(signature = (query, *, default_namespace_path=None))]
pub fn execute_query_async<'a>(
self_: PyRef<'a, Self>,
query: String,
default_namespace_path: Option<Bound<'_, PyAny>>,
) -> PyResult<Bound<'a, PyAny>> {
let inner = self_.get_inner()?.clone();
let default_namespace_path = parse_default_namespace_path(default_namespace_path)?;
future_into_py(self_.py(), async move {
let operation = inner
.execute_query_async(query)
.default_namespace_path(default_namespace_path);
operation
.execute()
.await
.map(crate::sql::Query::new)
.infer_error()
})
}
pub fn describe_query<'a>(
self_: PyRef<'a, Self>,
query_id: uuid::Uuid,
) -> PyResult<Bound<'a, PyAny>> {
let inner = self_.get_inner()?.clone();
future_into_py(self_.py(), async move {
inner
.describe_query(query_id)
.await
.map(crate::sql::QueryDescription::from)
.infer_error()
})
}
#[pyo3(signature = ())]
pub fn get_read_consistency_interval(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
@@ -592,9 +640,12 @@ impl Connection {
})
}
pub fn job(&self, job_id: String) -> PyResult<crate::job::Job> {
let inner = self.get_inner()?.clone();
Ok(crate::job::Job::new(inner.job(job_id).infer_error()?))
pub fn open_job(self_: PyRef<'_, Self>, job_id: String) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
future_into_py(self_.py(), async move {
let job = inner.open_job(&job_id).await.infer_error()?;
Ok(crate::job::Job::new(job))
})
}
pub fn create_function_async(
@@ -629,6 +680,102 @@ impl Connection {
})
}
pub fn list_functions(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
future_into_py(self_.py(), async move {
inner
.list_functions()
.await
.infer_error()?
.into_iter()
.map(|function| function.to_canonical_json().infer_error())
.collect::<PyResult<Vec<_>>>()
})
}
pub fn drop_function(
self_: PyRef<'_, Self>,
name: String,
version: String,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
future_into_py(self_.py(), async move {
inner.drop_function(name, version).await.infer_error()
})
}
pub fn create_secret(
self_: PyRef<'_, Self>,
name: String,
value: String,
namespace_path: Vec<String>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
future_into_py(self_.py(), async move {
inner
.create_secret(name, value, &namespace_path)
.await
.infer_error()
})
}
pub fn alter_secret(
self_: PyRef<'_, Self>,
name: String,
value: String,
namespace_path: Vec<String>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
future_into_py(self_.py(), async move {
inner
.alter_secret(name, value, &namespace_path)
.await
.infer_error()
})
}
pub fn list_secrets(
self_: PyRef<'_, Self>,
namespace_path: Vec<String>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
future_into_py(self_.py(), async move {
inner.list_secrets(&namespace_path).await.infer_error()
})
}
pub fn drop_secret(
self_: PyRef<'_, Self>,
name: String,
namespace_path: Vec<String>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
future_into_py(self_.py(), async move {
inner.drop_secret(name, &namespace_path).await.infer_error()
})
}
/// Name and timestamps as a plain mapping. `SecretInfo` carries no value,
/// so there is none to filter out here.
pub fn describe_secret(
self_: PyRef<'_, Self>,
name: String,
namespace_path: Vec<String>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
future_into_py(self_.py(), async move {
let info = inner
.describe_secret(name, &namespace_path)
.await
.infer_error()?;
Ok(HashMap::from([
("name".to_string(), info.name),
("created_at".to_string(), info.created_at),
("updated_at".to_string(), info.updated_at),
]))
})
}
pub fn list_jobs(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
future_into_py(self_.py(), async move {
@@ -640,42 +787,16 @@ impl Connection {
})
}
pub fn get_job(self_: PyRef<'_, Self>, job_id: String) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
future_into_py(self_.py(), async move {
let description = inner.get_job(&job_id).await.infer_error()?;
Ok(description.map(crate::job::JobDescription::from))
})
}
pub fn cancel_job(self_: PyRef<'_, Self>, job_id: String) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
future_into_py(self_.py(), async move {
inner.cancel_job(&job_id).await.infer_error()
})
}
#[pyo3(signature = (job_id=None))]
pub fn job_history(
self_: PyRef<'_, Self>,
job_id: Option<String>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
future_into_py(self_.py(), async move {
let batches = inner.job_history(job_id.as_deref()).await.infer_error()?;
Python::attach(|py| {
let list = PyList::empty(py);
for batch in batches {
list.append(batch.to_pyarrow(py)?)?;
}
Ok(list.unbind())
})
})
}
}
#[pyfunction]
#[pyo3(signature = (uri, api_key=None, region=None, host_override=None, read_consistency_interval=None, client_config=None, storage_options=None, session=None, manifest_enabled=false, namespace_client_properties=None, oauth_config=None))]
#[pyo3(signature = (uri, api_key=None, region=None, host_override=None, sql_host_override=None, read_consistency_interval=None, client_config=None, storage_options=None, session=None, manifest_enabled=false, namespace_client_properties=None, oauth_config=None))]
#[allow(clippy::too_many_arguments)]
pub fn connect(
py: Python<'_>,
@@ -683,6 +804,7 @@ pub fn connect(
api_key: Option<String>,
region: Option<String>,
host_override: Option<String>,
sql_host_override: Option<String>,
read_consistency_interval: Option<f64>,
client_config: Option<PyClientConfig>,
storage_options: Option<HashMap<String, String>>,
@@ -702,6 +824,12 @@ pub fn connect(
if let Some(host_override) = host_override {
builder = builder.host_override(&host_override);
}
#[cfg(feature = "remote")]
if let Some(sql_host_override) = sql_host_override {
builder = builder.sql_host_override(&sql_host_override);
}
#[cfg(not(feature = "remote"))]
let _ = sql_host_override;
if let Some(read_consistency_interval) = read_consistency_interval {
let read_consistency_interval = Duration::from_secs_f64(read_consistency_interval);
builder = builder.read_consistency_interval(read_consistency_interval);
+6
View File
@@ -114,6 +114,12 @@ impl<T> PythonErrorExt<T> for std::result::Result<T, LanceError> {
.getattr(intern!(py, "JobCancelledError"))?;
Err(PyErr::from_value(cls.call1((err.to_string(),))?))
}),
LanceError::JobNotFound { .. } => Python::attach(|py| {
let cls = py
.import(intern!(py, "lancedb.exceptions"))?
.getattr(intern!(py, "JobNotFoundError"))?;
Err(PyErr::from_value(cls.call1((err.to_string(),))?))
}),
_ => self.runtime_error(),
},
}
+126 -9
View File
@@ -4,11 +4,50 @@
use std::sync::Arc;
use crate::runtime::future_into_py;
use pyo3::{Bound, PyAny, PyRef, PyResult, pyclass, pymethods};
use arrow::{
datatypes::Schema,
pyarrow::{IntoPyArrow, Table as PyArrowTable},
};
use lancedb::job::JobEventsRequest;
use pyo3::{
Bound, PyAny, PyRef, PyResult, Python,
exceptions::PyValueError,
pyclass, pymethods,
types::{PyAnyMethods, PyDict, PyDictMethods},
};
use serde::Serialize;
use crate::error::PythonErrorExt;
const REPR_INDENT: &str = " ";
/// Parse a stored JSON payload into Python data. The bindings carry these as
/// strings because that is what crosses the boundary cheaply; the public
/// Python surface is the parsed form.
fn parse_json_payload<'py>(
py: Python<'py>,
raw: Option<&str>,
) -> PyResult<Option<Bound<'py, PyAny>>> {
match raw {
None => Ok(None),
Some(raw) => Ok(Some(py.import("json")?.call_method1("loads", (raw,))?)),
}
}
/// A payload rendered as indented JSON, aligned under the field that holds it.
fn pretty_json_payload(py: Python<'_>, raw: Option<&str>) -> PyResult<Option<String>> {
let Some(parsed) = parse_json_payload(py, raw)? else {
return Ok(None);
};
let kwargs = PyDict::new(py);
kwargs.set_item("indent", 4)?;
let rendered: String = py
.import("json")?
.call_method("dumps", (parsed,), Some(&kwargs))?
.extract()?;
Ok(Some(rendered.replace('\n', &format!("\n{REPR_INDENT}"))))
}
#[pyclass]
pub struct Job {
inner: Arc<lancedb::Job<std::result::Result<Option<String>, String>>>,
@@ -67,6 +106,48 @@ impl Job {
Ok(())
})
}
pub fn refresh(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner.clone();
future_into_py(self_.py(), async move {
inner.refresh().await.infer_error()?;
Ok(())
})
}
/// The last observed lifecycle state, without contacting the backend.
#[getter]
pub fn _state(&self) -> Option<String> {
self.inner.state()
}
/// The last observed server-side record. `None` for an in-process job.
#[getter]
pub fn _description(&self) -> Option<JobDescription> {
self.inner.description().map(JobDescription::from)
}
#[pyo3(signature = (*, limit=None, filter=None))]
pub fn events(
self_: PyRef<'_, Self>,
limit: Option<u32>,
filter: Option<String>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner.clone();
let request = JobEventsRequest { limit, filter };
future_into_py(self_.py(), async move {
let batches = inner.events(request).await.infer_error()?;
Python::attach(|py| {
let schema = batches
.first()
.map(|batch| batch.schema())
.unwrap_or_else(|| Arc::new(Schema::empty()));
let table = PyArrowTable::try_new(batches, schema)
.map_err(|err| PyValueError::new_err(err.to_string()))?;
table.into_pyarrow(py).map(|table| table.unbind())
})
})
}
}
/// A row from `Connection.list_jobs`: one server-side job.
@@ -121,7 +202,7 @@ impl JobFailureInfo {
}
}
/// A described job from `Connection.get_job`.
/// The server-side record behind a `Job` handle.
#[pyclass(get_all, skip_from_py_object)]
#[derive(Clone)]
pub struct JobDescription {
@@ -129,17 +210,49 @@ pub struct JobDescription {
job_type: String,
state: String,
creation_ms: i64,
spec_json: Option<String>,
/// Internal: the wire form behind the `spec` property.
_spec_json: Option<String>,
/// Internal: the wire form behind the `result` property.
_result_json: Option<String>,
failure: Option<JobFailureInfo>,
}
#[pymethods]
impl JobDescription {
fn __repr__(&self) -> String {
format!(
"JobDescription(job_id={:?}, job_type={:?}, state={:?}, creation_ms={})",
self.job_id, self.job_type, self.state, self.creation_ms
)
/// The job-type-specific specification it was submitted with.
#[getter]
fn spec<'py>(&self, py: Python<'py>) -> PyResult<Option<Bound<'py, PyAny>>> {
parse_json_payload(py, self._spec_json.as_deref())
}
/// The job-type-specific terminal result. `None` until the job succeeds.
#[getter]
fn result<'py>(&self, py: Python<'py>) -> PyResult<Option<Bound<'py, PyAny>>> {
parse_json_payload(py, self._result_json.as_deref())
}
fn __repr__(&self, py: Python<'_>) -> PyResult<String> {
let mut fields = vec![
format!("job_id={:?}", self.job_id),
format!("job_type={:?}", self.job_type),
format!("state={:?}", self.state),
format!("creation_ms={}", self.creation_ms),
];
// Lay the payloads out as indented JSON, the same way the `Job` repr
// does, so the two agree on how the same data looks.
for (name, payload) in [("spec", &self._spec_json), ("result", &self._result_json)] {
if let Some(rendered) = pretty_json_payload(py, payload.as_deref())? {
fields.push(format!("{name}={rendered}"));
}
}
if let Some(failure) = &self.failure {
fields.push(format!("failure={}", failure.__repr__()));
}
let body = fields
.iter()
.map(|field| format!("\n{REPR_INDENT}{field},"))
.collect::<String>();
Ok(format!("JobDescription({body}\n)"))
}
}
@@ -150,7 +263,11 @@ impl From<lancedb::database::JobDescription> for JobDescription {
job_type: description.job_type,
state: description.state,
creation_ms: description.creation_ms,
spec_json: (!description.spec.is_null()).then(|| description.spec.to_string()),
_spec_json: (!description.spec.is_null()).then(|| description.spec.to_string()),
_result_json: description
.result
.filter(|result| !result.is_null())
.map(|result| result.to_string()),
failure: description.failure.map(|failure| JobFailureInfo {
phase: failure.phase,
message: failure.message,
+3
View File
@@ -34,6 +34,7 @@ pub mod permutation;
pub mod query;
pub mod runtime;
pub mod session;
pub mod sql;
pub mod table;
pub mod util;
@@ -50,6 +51,8 @@ pub fn _lancedb(_py: Python, m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_class::<crate::job::JobInfo>()?;
m.add_class::<crate::job::JobDescription>()?;
m.add_class::<crate::job::JobFailureInfo>()?;
m.add_class::<crate::sql::Query>()?;
m.add_class::<crate::sql::QueryDescription>()?;
m.add_class::<PyBlobFile>()?;
m.add_class::<IndexConfig>()?;
m.add_class::<Query>()?;
+3
View File
@@ -323,6 +323,7 @@ impl<'py> IntoPyObject<'py> for PyQueryVectors {
pub struct PyQueryRequest {
pub limit: Option<usize>,
pub offset: Option<usize>,
pub take_offsets: Option<Vec<u64>>,
pub filter: Option<PyQueryFilter>,
pub full_text_search: Option<PyLanceDB<FtsQuery>>,
pub select: PySelect,
@@ -353,6 +354,7 @@ impl From<AnyQuery> for PyQueryRequest {
AnyQuery::Query(query_request) => Self {
limit: query_request.limit,
offset: query_request.offset,
take_offsets: query_request.take_offsets,
filter: query_request.filter.map(PyQueryFilter),
full_text_search: query_request
.full_text_search
@@ -381,6 +383,7 @@ impl From<AnyQuery> for PyQueryRequest {
AnyQuery::VectorQuery(vector_query) => Self {
limit: vector_query.base.limit,
offset: vector_query.base.offset,
take_offsets: vector_query.base.take_offsets,
filter: vector_query.base.filter.map(PyQueryFilter),
full_text_search: None,
select_source_columns: PySelect::source_columns(&vector_query.base.select),
+90
View File
@@ -0,0 +1,90 @@
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
use std::sync::Arc;
use chrono::{DateTime, Utc};
use pyo3::{Bound, PyAny, PyRef, PyResult, pyclass, pymethods};
use uuid::Uuid;
use crate::arrow::RecordBatchStream;
use crate::error::PythonErrorExt;
use crate::runtime::future_into_py;
#[pyclass(name = "SqlQuery")]
pub struct Query {
inner: Arc<lancedb::sql::Query>,
}
impl Query {
pub(crate) fn new(inner: lancedb::sql::Query) -> Self {
Self {
inner: Arc::new(inner),
}
}
}
#[pymethods]
impl Query {
#[getter]
pub fn id(&self) -> Uuid {
self.inner.id()
}
pub fn describe(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner.clone();
future_into_py(self_.py(), async move {
inner
.describe()
.await
.map(QueryDescription::from)
.infer_error()
})
}
pub fn reader(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner.clone();
future_into_py(self_.py(), async move {
let stream = inner.reader().await.infer_error()?;
Ok(RecordBatchStream::new(stream))
})
}
pub fn cancel(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner.clone();
future_into_py(self_.py(), async move {
inner.cancel().await.infer_error()?;
Ok(())
})
}
}
#[pyclass(get_all, skip_from_py_object)]
#[derive(Clone)]
pub struct QueryDescription {
id: Uuid,
status: String,
progress: Option<f64>,
expires_at: Option<DateTime<Utc>>,
}
#[pymethods]
impl QueryDescription {
fn __repr__(&self) -> String {
format!(
"QueryDescription(id={:?}, status={:?}, progress={:?}, expires_at={:?})",
self.id, self.status, self.progress, self.expires_at
)
}
}
impl From<lancedb::sql::QueryDescription> for QueryDescription {
fn from(description: lancedb::sql::QueryDescription) -> Self {
Self {
id: description.id,
status: description.status.to_string(),
progress: description.progress,
expires_at: description.expires_at,
}
}
}
+98 -95
View File
@@ -10,6 +10,9 @@ resolution-markers = [
"python_full_version < '3.11'",
]
[options]
prerelease-mode = "allow"
[[package]]
name = "accelerate"
version = "1.14.0"
@@ -799,7 +802,7 @@ name = "cuda-bindings"
version = "13.3.1"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "cuda-pathfinder", marker = "(python_full_version < '3.14' and sys_platform == 'emscripten') or (python_full_version < '3.14' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
{ name = "cuda-pathfinder" },
]
wheels = [
{ url = "https://files.pythonhosted.org/packages/a9/21/8464d133752951c154feafb3b65c297e7d80f301183d220bec4c830f1441/cuda_bindings-13.3.1-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:120fcc53d57903df529c3486962c56528cba5b7d6c57c99537320ed9922c8b86", size = 6073403, upload-time = "2026-05-29T23:11:36.22Z" },
@@ -834,37 +837,37 @@ wheels = [
[package.optional-dependencies]
cublas = [
{ name = "nvidia-cublas", marker = "(python_full_version < '3.14' and sys_platform == 'win32') or sys_platform == 'linux'" },
{ name = "nvidia-cublas" },
]
cudart = [
{ name = "nvidia-cuda-runtime", marker = "(python_full_version < '3.14' and sys_platform == 'win32') or sys_platform == 'linux'" },
{ name = "nvidia-cuda-runtime" },
]
cufft = [
{ name = "nvidia-cufft", marker = "(python_full_version < '3.14' and sys_platform == 'win32') or sys_platform == 'linux'" },
{ name = "nvidia-cufft" },
]
cufile = [
{ name = "nvidia-cufile", marker = "sys_platform == 'linux'" },
{ name = "nvidia-cufile" },
]
cupti = [
{ name = "nvidia-cuda-cupti", marker = "(python_full_version < '3.14' and sys_platform == 'win32') or sys_platform == 'linux'" },
{ name = "nvidia-cuda-cupti" },
]
curand = [
{ name = "nvidia-curand", marker = "(python_full_version < '3.14' and sys_platform == 'win32') or sys_platform == 'linux'" },
{ name = "nvidia-curand" },
]
cusolver = [
{ name = "nvidia-cusolver", marker = "(python_full_version < '3.14' and sys_platform == 'win32') or sys_platform == 'linux'" },
{ name = "nvidia-cusolver" },
]
cusparse = [
{ name = "nvidia-cusparse", marker = "(python_full_version < '3.14' and sys_platform == 'win32') or sys_platform == 'linux'" },
{ name = "nvidia-cusparse" },
]
nvjitlink = [
{ name = "nvidia-nvjitlink", marker = "(python_full_version < '3.14' and sys_platform == 'win32') or sys_platform == 'linux'" },
{ name = "nvidia-nvjitlink" },
]
nvrtc = [
{ name = "nvidia-cuda-nvrtc", marker = "(python_full_version < '3.14' and sys_platform == 'win32') or sys_platform == 'linux'" },
{ name = "nvidia-cuda-nvrtc" },
]
nvtx = [
{ name = "nvidia-nvtx", marker = "(python_full_version < '3.14' and sys_platform == 'win32') or sys_platform == 'linux'" },
{ name = "nvidia-nvtx" },
]
[[package]]
@@ -1023,7 +1026,7 @@ name = "exceptiongroup"
version = "1.3.1"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "typing-extensions", marker = "python_full_version < '3.11'" },
{ name = "typing-extensions" },
]
sdist = { url = "https://files.pythonhosted.org/packages/50/79/66800aadf48771f6b62f7eb014e352e5d06856655206165d775e675a02c9/exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219", size = 30371, upload-time = "2025-11-21T23:01:54.787Z" }
wheels = [
@@ -1440,16 +1443,16 @@ resolution-markers = [
"python_full_version < '3.11'",
]
dependencies = [
{ name = "cachetools", marker = "python_full_version < '3.11'" },
{ name = "certifi", marker = "python_full_version < '3.11'" },
{ name = "httpx", marker = "python_full_version < '3.11'" },
{ name = "ibm-cos-sdk", marker = "python_full_version < '3.11'" },
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{ name = "joblib" },
{ name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" } },
{ name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" } },
{ name = "threadpoolctl" },
]
sdist = { url = "https://files.pythonhosted.org/packages/98/c2/a7855e41c9d285dfe86dc50b250978105dce513d6e459ea66a6aeb0e1e0c/scikit_learn-1.7.2.tar.gz", hash = "sha256:20e9e49ecd130598f1ca38a1d85090e1a600147b9c02fa6f15d69cb53d968fda", size = 7193136, upload-time = "2025-09-09T08:21:29.075Z" }
wheels = [
@@ -4734,13 +4737,13 @@ resolution-markers = [
"python_full_version == '3.11.*'",
]
dependencies = [
{ name = "joblib", marker = "python_full_version >= '3.11'" },
{ name = "narwhals", marker = "python_full_version >= '3.11'" },
{ name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.11.*'" },
{ name = "joblib" },
{ name = "narwhals" },
{ name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" },
{ name = "numpy", version = "2.5.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" },
{ name = "scipy", version = "1.17.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.11.*'" },
{ name = "scipy", version = "1.17.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" },
{ name = "scipy", version = "1.18.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" },
{ name = "threadpoolctl", marker = "python_full_version >= '3.11'" },
{ name = "threadpoolctl" },
]
sdist = { url = "https://files.pythonhosted.org/packages/fa/6f/37092bdb25f712817231799fc5674d8e704066a8a70c1d2d40517e18b4ab/scikit_learn-1.9.0.tar.gz", hash = "sha256:8833266989d3a5110178a9fae30783675460724d0e1efb13b14901d2c660c557", size = 7750767, upload-time = "2026-06-02T11:54:32.706Z" }
wheels = [
@@ -4784,7 +4787,7 @@ resolution-markers = [
"python_full_version < '3.11'",
]
dependencies = [
{ name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
{ name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" } },
]
sdist = { url = "https://files.pythonhosted.org/packages/0f/37/6964b830433e654ec7485e45a00fc9a27cf868d622838f6b6d9c5ec0d532/scipy-1.15.3.tar.gz", hash = "sha256:eae3cf522bc7df64b42cad3925c876e1b0b6c35c1337c93e12c0f366f55b0eaf", size = 59419214, upload-time = "2025-05-08T16:13:05.955Z" }
wheels = [
@@ -4843,7 +4846,7 @@ resolution-markers = [
"python_full_version == '3.11.*'",
]
dependencies = [
{ name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.11.*'" },
{ name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" } },
]
sdist = { url = "https://files.pythonhosted.org/packages/7a/97/5a3609c4f8d58b039179648e62dd220f89864f56f7357f5d4f45c29eb2cc/scipy-1.17.1.tar.gz", hash = "sha256:95d8e012d8cb8816c226aef832200b1d45109ed4464303e997c5b13122b297c0", size = 30573822, upload-time = "2026-02-23T00:26:24.851Z" }
wheels = [
@@ -4920,7 +4923,7 @@ resolution-markers = [
"python_full_version >= '3.12' and python_full_version < '3.14'",
]
dependencies = [
{ name = "numpy", version = "2.5.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" },
{ name = "numpy", version = "2.5.1", source = { registry = "https://pypi.org/simple" } },
]
sdist = { url = "https://files.pythonhosted.org/packages/a7/25/c2700dfaf6442b4effaa91af24ebce5dc9d31bb4a69706313aae70d72cd0/scipy-1.18.0.tar.gz", hash = "sha256:67b2ad2ad54c72ca6d04975a9b2df8c3638c34ddd5b28738e94fc2b57929d378", size = 30774447, upload-time = "2026-06-19T15:01:43.456Z" }
wheels = [
+7 -1
View File
@@ -1,6 +1,6 @@
[package]
name = "lancedb"
version = "0.38.0-beta.15"
version = "0.39.0-beta.4"
edition.workspace = true
description = "LanceDB: A serverless, low-latency vector database for AI applications"
license.workspace = true
@@ -21,6 +21,8 @@ arrow-select = { workspace = true }
arrow-ord = { workspace = true }
arrow-cast = { workspace = true }
arrow-ipc.workspace = true
arrow-flight = { workspace = true, optional = true }
prost = { version = "0.14", optional = true }
chrono = { workspace = true }
datafusion-catalog.workspace = true
datafusion-common.workspace = true
@@ -77,6 +79,7 @@ reqwest = { version = "0.12.0", default-features = false, features = [
"rustls-tls-native-roots",
"stream",
], optional = true }
tonic = { workspace = true, optional = true }
http = { version = "1", optional = true } # Matching what is in reqwest
urlencoding = { version = "2", optional = true }
uuid = { workspace = true, features = ["v5"] }
@@ -145,8 +148,11 @@ huggingface = [
]
dynamodb = ["lance/dynamodb", "aws"]
remote = [
"dep:arrow-flight",
"dep:prost",
"dep:reqwest",
"dep:http",
"dep:tonic",
"dep:urlencoding",
"lance-namespace-impls/rest",
"lance-namespace-impls/rest-adapter",
+52 -4
View File
@@ -7,7 +7,9 @@
//! raw `Binary` / `LargeBinary` into the blob struct layout. Queries return
//! small descriptors, not bytes.
//!
//! Blob tables require Lance file format >= 2.2 and stable row ids at create.
//! Blob tables require Lance file format >= 2.2. `_rowid` values stay valid
//! after compaction when the table has stable row ids. Overwrite is a new
//! create and does not keep the previous table's stable row id setting.
use std::ops::Range;
use std::sync::Arc;
@@ -324,6 +326,7 @@ pub(crate) fn blob_column_names(schema: &Schema) -> Vec<String> {
}
/// Bumps storage format to at least [`LanceFileVersion::V2_2`] for blob schemas.
/// Leaves `enable_stable_row_ids` unchanged.
pub(crate) fn ensure_blob_storage_version(schema: &Schema, params: &mut WriteParams) {
if !has_blob_columns(schema) {
return;
@@ -385,6 +388,30 @@ fn ensure_all_row_ids_resolved(column: &str, requested: usize, resolved: usize)
}
}
/// Lance take reports a missing physical row address as NotSupported or InvalidInput.
fn map_blob_take_error(column: &str, requested: usize, err: lance::Error) -> Error {
let missing_row_addr = match &err {
lance::Error::NotSupported { source, .. } => {
source.to_string().contains("must not target deleted rows")
}
lance::Error::InvalidInput { source, .. } => source
.to_string()
.contains("belongs to non-existent fragment"),
_ => false,
};
if missing_row_addr {
Error::InvalidInput {
message: format!(
"blob read for column '{column}' requested {requested} row ids but some \
do not exist in the table; pass row ids collected from this table"
),
}
} else {
err.into()
}
}
/// Materialize blob-local ranges (same length and order as `requests`, nulls preserved).
pub(crate) async fn take_blob_ranges_aligned(
dataset: &Arc<Dataset>,
@@ -405,7 +432,8 @@ pub(crate) async fn take_blob_ranges_aligned(
.with_row_ids(lance_requests)
.preserve_order(true)
.execute()
.await?;
.await
.map_err(|err| map_blob_take_error(column, requests.len(), err))?;
ensure_all_row_ids_resolved(column, requests.len(), payloads.len())?;
let mut builder = LargeBinaryBuilder::new();
@@ -434,7 +462,8 @@ pub(crate) async fn take_blobs_aligned(
.with_row_ids(row_ids.to_vec())
.preserve_order(true)
.execute()
.await?;
.await
.map_err(|err| map_blob_take_error(column, row_ids.len(), err))?;
ensure_all_row_ids_resolved(column, row_ids.len(), payloads.len())?;
let mut builder = LargeBinaryBuilder::new();
@@ -458,7 +487,10 @@ pub(crate) async fn take_blob_files_aligned(
return Ok(Vec::new());
}
let handles = dataset.take_blobs(row_ids, column).await?;
let handles = dataset
.take_blobs(row_ids, column)
.await
.map_err(|err| map_blob_take_error(column, row_ids.len(), err))?;
ensure_all_row_ids_resolved(column, row_ids.len(), handles.len())?;
Ok(handles
.into_iter()
@@ -504,6 +536,21 @@ mod tests {
params.data_storage_version.unwrap().resolve(),
ConcreteFileVersion::V2_2
);
assert!(!params.enable_stable_row_ids);
}
#[test]
fn storage_version_leaves_stable_row_ids_enabled() {
let mut params = WriteParams {
enable_stable_row_ids: true,
..Default::default()
};
ensure_blob_storage_version(&blob_schema(), &mut params);
assert!(params.enable_stable_row_ids);
assert_eq!(
params.data_storage_version.unwrap().resolve(),
ConcreteFileVersion::V2_2
);
}
#[test]
@@ -576,5 +623,6 @@ mod tests {
let mut params = WriteParams::default();
ensure_blob_storage_version(&schema, &mut params);
assert!(params.data_storage_version.is_none());
assert!(!params.enable_stable_row_ids);
}
}
+263 -23
View File
@@ -23,15 +23,18 @@ use crate::connection::create_table::CreateTableBuilder;
use crate::data::scannable::Scannable;
use crate::database::listing::ListingDatabase;
use crate::database::{
CloneTableRequest, Database, DatabaseOptions, JobDescription, JobInfo, OpenTableRequest,
ReadConsistency, TableNamesRequest,
CloneTableRequest, Database, DatabaseOptions, JobInfo, OpenTableRequest, ReadConsistency,
SecretInfo, TableNamesRequest,
};
use crate::embeddings::{EmbeddingRegistry, MemoryRegistry};
use crate::error::{Error, Result};
#[cfg(feature = "remote")]
use crate::remote::{
client::ClientConfig,
db::{OPT_REMOTE_API_KEY, OPT_REMOTE_HOST_OVERRIDE, OPT_REMOTE_REGION},
db::{
OPT_REMOTE_API_KEY, OPT_REMOTE_HOST_OVERRIDE, OPT_REMOTE_REGION,
OPT_REMOTE_SQL_HOST_OVERRIDE,
},
};
use lance::io::ObjectStoreParams;
pub use lance_file::version::LanceFileVersion;
@@ -322,6 +325,43 @@ pub struct CloneTableBuilder {
request: CloneTableRequest,
}
/// Builder for asynchronously executing a SQL statement on a remote database.
pub struct ExecuteQueryAsyncBuilder {
parent: Arc<dyn Database>,
query: String,
default_namespace_path: Vec<String>,
}
impl ExecuteQueryAsyncBuilder {
fn new(parent: Arc<dyn Database>, query: String) -> Self {
Self {
parent,
query,
default_namespace_path: vec!["public".to_string()],
}
}
/// Set the namespace used for unqualified table names.
///
/// An empty path is treated as `public`, which is the SQL name for the
/// root Lance namespace.
pub fn default_namespace_path<I, S>(mut self, path: I) -> Self
where
I: IntoIterator<Item = S>,
S: Into<String>,
{
self.default_namespace_path = path.into_iter().map(Into::into).collect();
self
}
/// Start the statement and return its asynchronous query handle.
pub async fn execute(self) -> Result<crate::sql::Query> {
self.parent
.execute_query_async(&self.query, &self.default_namespace_path)
.await
}
}
impl CloneTableBuilder {
fn new(parent: Arc<dyn Database>, target_table_name: String, source_uri: String) -> Self {
Self {
@@ -405,6 +445,51 @@ impl Connection {
&self.internal
}
/// Start executing SQL on a remote LanceDB database.
///
/// The query can reference tables in other databases with SQL dot notation.
/// Use [`ExecuteQueryAsyncBuilder::default_namespace_path`] to avoid qualifying
/// tables in the default namespace. Local connections return
/// [`Error::NotSupported`].
///
/// # Example
///
/// ```no_run
/// # async fn query(db: &lancedb::Connection) -> lancedb::Result<()> {
/// use futures::TryStreamExt;
///
/// let query = db
/// .execute_query_async("SELECT * FROM events LIMIT 10")
/// .default_namespace_path(["public"])
/// .execute()
/// .await?;
/// println!("query id: {}", query.id());
/// let mut batches = query.reader().await?;
/// while let Some(batch) = batches.try_next().await? {
/// println!("received {} rows", batch.num_rows());
/// }
/// # Ok(())
/// # }
/// ```
pub fn execute_query_async(&self, query: impl Into<String>) -> ExecuteQueryAsyncBuilder {
ExecuteQueryAsyncBuilder::new(self.internal.clone(), query.into())
}
/// Describe a submitted SQL query by its connection-scoped id.
///
/// This performs one bounded status poll using state retained by this
/// connection. Running state with a live query handle is not evicted;
/// abandoned state has bounded retention, and server expiration is
/// honored. Terminal state is retained briefly.
/// Query ids are not portable to another connection. Local connections
/// return [`Error::NotSupported`].
pub async fn describe_query(
&self,
query_id: uuid::Uuid,
) -> Result<crate::sql::QueryDescription> {
self.internal.describe_query(query_id).await
}
/// Get the names of all tables in the database
///
/// The names will be returned in lexicographical order (ascending)
@@ -523,6 +608,118 @@ impl Connection {
.await
}
/// List every published immutable Function version in the remote catalog.
///
/// Results are ordered by Function name then version. The client walks all
/// server pages before returning. Local databases return
/// [`Error::NotSupported`].
///
/// # Example
///
/// ```no_run
/// # async fn list_functions(
/// # connection: &lancedb::Connection,
/// # ) -> Result<(), Box<dyn std::error::Error>> {
/// for function in connection.list_functions().await? {
/// println!("{} {}", function.name(), function.version());
/// }
/// # Ok(())
/// # }
/// ```
pub async fn list_functions(&self) -> Result<Vec<crate::function::FunctionVersion>> {
self.internal.list_functions().await
}
/// Drop one exact immutable Function version from the remote catalog.
///
/// Returns `true` when the server appended a Dropped transition and
/// `false` for an idempotent replay. Local databases return
/// [`Error::NotSupported`].
pub async fn drop_function(
&self,
name: impl AsRef<str>,
version: impl AsRef<str>,
) -> Result<bool> {
self.internal
.drop_function(name.as_ref(), version.as_ref())
.await
}
/// Create a named Secret in this database.
///
/// Fails if the name is taken, so a create can never silently become a
/// rotation. There is no API that reads a stored credential back; the only
/// consumer is a Function that binds the Secret by name. Local databases
/// return [`Error::NotSupported`].
pub async fn create_secret(
&self,
name: impl AsRef<str>,
value: impl AsRef<str>,
namespace_path: &[String],
) -> Result<()> {
self.internal
.create_secret(name.as_ref(), value.as_ref(), namespace_path)
.await
}
/// Replace the credential behind an existing Secret.
///
/// Fails if it does not exist. Every Function bound to the Secret resolves
/// the new value from its next execution, and no new Function version is
/// minted -- which is what lets a rotation reach columns pinned to a
/// version registered before it. Local databases return
/// [`Error::NotSupported`].
pub async fn alter_secret(
&self,
name: impl AsRef<str>,
value: impl AsRef<str>,
namespace_path: &[String],
) -> Result<()> {
self.internal
.alter_secret(name.as_ref(), value.as_ref(), namespace_path)
.await
}
/// The names of every Secret in this database.
///
/// Names only. No path in this API returns a stored credential, by
/// construction rather than by policy. Local databases return
/// [`Error::NotSupported`].
pub async fn list_secrets(&self, namespace_path: &[String]) -> Result<Vec<String>> {
self.internal.list_secrets(namespace_path).await
}
/// Drop a Secret.
///
/// Functions bound to it fail at their next job, naming the Secret; that
/// is the revocation path. The name becomes free to reuse, and a new
/// Secret under it is picked up by everything still bound to that name.
/// Local databases return [`Error::NotSupported`].
pub async fn drop_secret(
&self,
name: impl AsRef<str>,
namespace_path: &[String],
) -> Result<()> {
self.internal
.drop_secret(name.as_ref(), namespace_path)
.await
}
/// What this database records about one Secret: its name and timestamps.
///
/// Never the value. The type it returns has no field for one, so this is a
/// property of the API rather than of what the caller chooses to read.
/// Local databases return [`Error::NotSupported`].
pub async fn describe_secret(
&self,
name: impl AsRef<str>,
namespace_path: &[String],
) -> Result<SecretInfo> {
self.internal
.describe_secret(name.as_ref(), namespace_path)
.await
}
/// Rename a table in the database.
///
/// This is only supported in LanceDB Cloud.
@@ -548,14 +745,34 @@ impl Connection {
self.internal.read_consistency().await
}
/// A [`crate::job::Job`] handle for a server-side job by id, suitable for
/// waiting on or cancelling the job.
/// Open a server-side job by id, returning a handle with its record
/// already populated. Fails with [`crate::Error::JobNotFound`] when the
/// server has no such job, the way [`Connection::open_table`] does for a
/// missing table.
///
/// The handle is constructed without a server round trip; an unknown id
/// surfaces when the handle is used. Only server-backed databases support
/// job handles by id.
pub fn job(&self, job_id: impl AsRef<str>) -> Result<crate::job::Job> {
self.internal.job(job_id.as_ref())
/// This is the one way in: the returned [`crate::job::Job`] answers for
/// its own state, specification, result, failure and event history, so
/// there is no separate connection-level call for any of them.
///
/// # Example
///
/// ```no_run
/// # use lancedb::job::JobEventsRequest;
/// # async fn open_job(
/// # connection: &lancedb::Connection,
/// # job_id: &str,
/// # ) -> Result<(), Box<dyn std::error::Error>> {
/// let job = connection.open_job(job_id).await?;
/// println!("{:?} {:?}", job.state(), job.result());
/// let done = job
/// .events(JobEventsRequest::default().filter("state = 'claim_complete'"))
/// .await?;
/// println!("{} completions", done.iter().map(|b| b.num_rows()).sum::<usize>());
/// # Ok(())
/// # }
/// ```
pub async fn open_job(&self, job_id: impl AsRef<str>) -> Result<crate::job::Job> {
self.internal.open_job(job_id.as_ref()).await
}
/// List server-side jobs across the database's tables.
@@ -563,24 +780,12 @@ impl Connection {
self.internal.list_jobs().await
}
/// Describe a single server-side job by id. `None` when the server has no
/// such job.
pub async fn get_job(&self, job_id: impl AsRef<str>) -> Result<Option<JobDescription>> {
self.internal.get_job(job_id.as_ref()).await
}
/// Request cancellation of a server-side job by id. Returns true if the
/// server accepted the cancellation, false if no such job exists.
pub async fn cancel_job(&self, job_id: impl AsRef<str>) -> Result<bool> {
self.internal.cancel_job(job_id.as_ref()).await
}
/// The lifecycle event history of a server-side job (all jobs when
/// `job_id` is `None`), as recorded Arrow batches.
pub async fn job_history(&self, job_id: Option<&str>) -> Result<Vec<RecordBatch>> {
self.internal.job_history(job_id).await
}
/// Drop a table in the database.
///
/// # Arguments
@@ -827,6 +1032,19 @@ impl ConnectBuilder {
self
}
/// Set the SQL service host override for a remote connection.
///
/// The SQL client is initialized lazily when the connection first executes
/// SQL and is retained for the connection's lifetime.
#[cfg(feature = "remote")]
pub fn sql_host_override(mut self, sql_host_override: &str) -> Self {
self.request.options.insert(
OPT_REMOTE_SQL_HOST_OVERRIDE.to_string(),
sql_host_override.to_string(),
);
self
}
/// Set the database specific options
///
/// See [crate::database::listing::ListingDatabaseOptions] for the options available for
@@ -1016,6 +1234,7 @@ impl ConnectBuilder {
let mut merged_options = self.request.options.clone();
Self::apply_env_defaults(&ENV_VARS_TO_STORAGE_OPTS, &mut merged_options);
let sql_host_override = merged_options.get(OPT_REMOTE_SQL_HOST_OVERRIDE).cloned();
let options = RemoteDatabaseOptions::parse_from_map(&merged_options)?;
let region = options.region.ok_or_else(|| Error::InvalidInput {
@@ -1057,11 +1276,15 @@ impl ConnectBuilder {
}
let storage_options = StorageOptions(options.storage_options.clone());
let host_overrides = crate::remote::db::RemoteHostOverrides {
rest: options.host_override,
sql: sql_host_override,
};
let internal = Arc::new(crate::remote::db::RemoteDatabase::try_new(
&self.request.uri,
&api_key,
&region,
options.host_override,
host_overrides,
client_config,
storage_options.into(),
self.request.read_consistency_interval,
@@ -1355,6 +1578,23 @@ mod tests {
assert_eq!(tc.connection.uri(), tc.uri);
}
#[tokio::test]
async fn test_local_connection_rejects_sql_queries() {
let directory = tempdir().unwrap();
let connection = connect(directory.path().to_str().unwrap())
.execute()
.await
.unwrap();
assert!(matches!(
connection.execute_query_async("SELECT 1").execute().await,
Err(Error::NotSupported { .. })
));
assert!(matches!(
connection.describe_query(uuid::Uuid::nil()).await,
Err(Error::NotSupported { .. })
));
}
#[cfg(feature = "remote")]
#[test]
fn test_apply_env_defaults() {
+94 -19
View File
@@ -18,8 +18,6 @@ use std::collections::HashMap;
use std::sync::Arc;
use std::time::Duration;
use arrow_array::RecordBatch;
use lance::dataset::ReadParams;
use lance_namespace::LanceNamespace;
use lance_namespace::models::{
@@ -206,8 +204,8 @@ pub enum ReadConsistency {
/// compaction, column refresh, ...).
#[derive(Debug, Clone)]
pub struct JobInfo {
/// The job id -- what [`Database::get_job`] and [`Database::cancel_job`]
/// accept.
/// The job id -- what [`Database::open_job`] and
/// [`Database::cancel_job`] accept.
pub job_id: String,
/// The table the job runs against, without URI or namespace.
pub table: String,
@@ -218,8 +216,8 @@ pub struct JobInfo {
pub created_at_millis: i64,
}
/// A described job from [`Database::get_job`]: lifecycle state plus the
/// job-type-specific specification.
/// The server-side record behind a [`crate::job::Job`] handle: lifecycle
/// state plus the job-type-specific specification and result.
#[derive(Debug, Clone)]
pub struct JobDescription {
pub job_id: String,
@@ -230,6 +228,10 @@ pub struct JobDescription {
pub creation_ms: i64,
/// The job-type-specific specification. Null when the server omits it.
pub spec: serde_json::Value,
/// The job-type-specific terminal result, for job types that define one.
/// `None` until the job succeeds, so a job that never terminates reports
/// its progress through [`crate::job::Job::events`] instead.
pub result: Option<serde_json::Value>,
/// Why the job failed, when the job is failed and the server reports a
/// reason.
pub failure: Option<crate::error::JobFailure>,
@@ -247,9 +249,29 @@ fn function_catalog_not_supported<T>() -> Result<T> {
})
}
fn secret_catalog_not_supported<T>() -> Result<T> {
Err(crate::error::Error::NotSupported {
message: "Secret operations are not supported by this database".to_string(),
})
}
/// The `Database` trait defines the interface for database implementations.
///
/// A database is responsible for managing tables and their metadata.
/// What a database records about a Secret. Never its value.
///
/// Returned by [`crate::connection::Connection::describe_secret`]. There is no
/// field for the credential and no method that could produce one.
#[derive(Debug, Clone, PartialEq, Eq, serde::Deserialize)]
pub struct SecretInfo {
/// The Secret's database-scoped name.
pub name: String,
/// When the Secret was created, as an RFC 3339 timestamp.
pub created_at: String,
/// When the Secret's value was last rotated, as an RFC 3339 timestamp.
pub updated_at: String,
}
#[async_trait::async_trait]
pub trait Database:
Send + Sync + std::any::Any + std::fmt::Debug + std::fmt::Display + 'static
@@ -307,30 +329,83 @@ pub trait Database:
) -> Result<crate::function::FunctionVersion> {
function_catalog_not_supported()
}
/// A [`crate::job::Job`] handle for a server-side job by id, suitable for
/// waiting on or cancelling the job. The handle is constructed without a
/// server round trip; an unknown id surfaces when the handle is used.
fn job(&self, _job_id: &str) -> Result<crate::job::Job> {
job_op_not_supported("job")
/// List every published immutable Function version in the remote catalog.
async fn list_functions(&self) -> Result<Vec<crate::function::FunctionVersion>> {
function_catalog_not_supported()
}
/// Drop one exact immutable Function version from the remote catalog.
async fn drop_function(&self, _name: &str, _version: &str) -> Result<bool> {
function_catalog_not_supported()
}
/// Create a named Secret in this database. Fails if the name is taken, so
/// a create can never silently become a rotation.
async fn create_secret(
&self,
_name: &str,
_value: &str,
_namespace_path: &[String],
) -> Result<()> {
secret_catalog_not_supported()
}
/// Replace the credential behind an existing Secret. Fails if it does not
/// exist. Every Function bound to it resolves the new value from its next
/// execution, with no new Function version.
async fn alter_secret(
&self,
_name: &str,
_value: &str,
_namespace_path: &[String],
) -> Result<()> {
secret_catalog_not_supported()
}
/// The names of every Secret in this database.
///
/// Names only. No API path returns a stored credential, by construction
/// rather than by policy.
async fn list_secrets(&self, _namespace_path: &[String]) -> Result<Vec<String>> {
secret_catalog_not_supported()
}
/// Drop a Secret. Functions bound to it fail at their next job, which is
/// the revocation path.
async fn drop_secret(&self, _name: &str, _namespace_path: &[String]) -> Result<()> {
secret_catalog_not_supported()
}
/// What the database records about one Secret: its name and timestamps,
/// never its value.
async fn describe_secret(&self, _name: &str, _namespace_path: &[String]) -> Result<SecretInfo> {
secret_catalog_not_supported()
}
/// Open a job by id, returning a handle with its record already
/// populated. Fails with [`crate::Error::JobNotFound`] when the server has
/// no such job.
async fn open_job(&self, _job_id: &str) -> Result<crate::job::Job> {
job_op_not_supported("open_job")
}
/// List server-side jobs across the database's tables.
async fn list_jobs(&self) -> Result<Vec<JobInfo>> {
job_op_not_supported("list_jobs")
}
/// Describe a single job by id. `None` when the server has no such job.
async fn get_job(&self, _job_id: &str) -> Result<Option<JobDescription>> {
job_op_not_supported("get_job")
}
/// Request cancellation of a job by id. Returns true if the server
/// accepted the cancellation, false if no such job exists. Cancelling an
/// already-terminal job is a no-op success.
async fn cancel_job(&self, _job_id: &str) -> Result<bool> {
job_op_not_supported("cancel_job")
}
/// The lifecycle event history of a job (all jobs when `job_id` is
/// `None`), as recorded Arrow batches.
async fn job_history(&self, _job_id: Option<&str>) -> Result<Vec<RecordBatch>> {
job_op_not_supported("job_history")
/// Start executing a SQL statement on a remote database.
async fn execute_query_async(
&self,
_query: &str,
_default_namespace_path: &[String],
) -> Result<crate::sql::Query> {
Err(crate::error::Error::NotSupported {
message: "SQL is not supported by this database".to_string(),
})
}
/// Describe a submitted SQL query by its connection-scoped id.
async fn describe_query(&self, _query_id: uuid::Uuid) -> Result<crate::sql::QueryDescription> {
Err(crate::error::Error::NotSupported {
message: "SQL is not supported by this database".to_string(),
})
}
/// Open a table in the database
async fn open_table(&self, request: OpenTableRequest) -> Result<Arc<dyn BaseTable>>;
+1 -2
View File
@@ -18,7 +18,7 @@ use lance_table::io::commit::commit_handler_from_url;
use object_store::local::LocalFileSystem;
use snafu::ResultExt;
use crate::blob::{ensure_blob_storage_version, has_blob_columns};
use crate::blob::ensure_blob_storage_version;
use crate::connection::ConnectRequest;
use crate::database::ReadConsistency;
use crate::database::namespace::LanceNamespaceDatabase;
@@ -827,7 +827,6 @@ impl ListingDatabase {
if let Some(enable_stable_row_ids) = overrides
.enable_stable_row_ids
.or(self.new_table_config.enable_stable_row_ids)
.or(has_blob_columns(&data_schema).then_some(true))
{
write_params.enable_stable_row_ids = enable_stable_row_ids;
}
+11 -5
View File
@@ -23,7 +23,7 @@ use lance_namespace_impls::ConnectBuilder;
use lance_table::io::commit::CommitHandler;
use lance_table::io::commit::external_manifest::ExternalManifestCommitHandler;
use crate::blob::{ensure_blob_storage_version, has_blob_columns};
use crate::blob::ensure_blob_storage_version;
use crate::connection::NamespaceClientPushdownOperation;
use crate::database::ReadConsistency;
use crate::database::listing::{NewTableConfig, take_request_creation_overrides};
@@ -217,7 +217,6 @@ impl LanceNamespaceDatabase {
if let Some(enable_stable_row_ids) = overrides
.enable_stable_row_ids
.or(self.new_table_config.enable_stable_row_ids)
.or(has_blob_columns(data_schema.as_ref()).then_some(true))
{
params.enable_stable_row_ids = enable_stable_row_ids;
}
@@ -539,9 +538,7 @@ impl Database for LanceNamespaceDatabase {
self.namespace
.drop_table(drop_request)
.await
.map_err(|e| Error::Runtime {
message: format!("Failed to drop table: {}", e),
})?;
.map_err(|e| map_namespace_lance_error(e, name))?;
Ok(())
}
@@ -1495,6 +1492,15 @@ mod tests {
.expect("Failed to list tables");
assert!(!table_names_after.contains(&"drop_test".to_string()));
let error = conn
.drop_table("drop_test", &["test_ns".into()])
.await
.expect_err("dropping a missing table should fail");
assert!(
matches!(error, Error::TableNotFound { ref name, .. } if name == "drop_test"),
"expected TableNotFound, got: {error:?}"
);
// Verify: Cannot open dropped table
let open_result = conn.open_table("drop_test").execute().await;
assert!(open_result.is_err());
@@ -31,7 +31,7 @@ use lance::io::RecordBatchStream;
use lance_arrow::RecordBatchExt;
use lance_core::ROW_ID;
use lance_core::error::LanceOptionExt;
use std::collections::HashMap;
use std::collections::{HashMap, HashSet};
use std::sync::Arc;
/// Reads a permutation of a source table based on row IDs stored in a separate table
@@ -234,7 +234,14 @@ impl PermutationReader {
.expect_ok()?
.values();
let in_list: Vec<Expr> = row_ids.iter().map(|id| lit(*id)).collect();
let mut unique_row_ids = HashSet::with_capacity(num_rows);
let in_list: Vec<Expr> = row_ids
.iter()
.copied()
.filter(|row_id| unique_row_ids.insert(*row_id))
.map(lit)
.collect();
let num_unique_row_ids = unique_row_ids.len();
let base_query = QueryRequest {
filter: Some(QueryFilter::Datafusion(col(ROW_ID).in_list(in_list, false))),
@@ -247,7 +254,7 @@ impl PermutationReader {
.query(
&AnyQuery::Query(base_query),
QueryExecutionOptions {
max_batch_length: num_rows as u32,
max_batch_length: num_unique_row_ids as u32,
..Default::default()
},
)
@@ -262,9 +269,9 @@ impl PermutationReader {
});
}
if batches.iter().map(|b| b.num_rows()).sum::<usize>() != num_rows {
if batches.iter().map(|b| b.num_rows()).sum::<usize>() != num_unique_row_ids {
return Err(Error::InvalidInput {
message: "Base table returned different number of rows than the number of row IDs"
message: "Base table returned a different number of rows than the number of unique row IDs"
.to_string(),
});
}
@@ -504,6 +511,7 @@ impl PermutationReader {
let table = Table::from(self.base_table.clone());
let batches = table
.take_offsets(offsets.to_vec())
.preserve_order()
.select(selection.clone())
.execute()
.await?
@@ -803,10 +811,10 @@ mod tests {
.unwrap();
// Take offsets in reverse order and verify returned rows match that order
let offsets = vec![5, 3, 1, 0];
let offsets = vec![5, 3, 5, 1, 0];
let batch = reader.take_offsets(&offsets, Select::All).await.unwrap();
assert_eq!(batch.num_rows(), 4);
assert_eq!(batch.num_rows(), 5);
let idx_values = batch
.column(0)
@@ -820,6 +828,52 @@ mod tests {
assert_eq!(idx_values, expected);
}
#[tokio::test]
async fn test_take_offsets_preserves_repeated_rows_in_permutation() {
let base_table = lance_datagen::gen_batch()
.col("idx", lance_datagen::array::step::<Int32Type>())
.into_mem_table("tbl", RowCount::from(5), BatchCount::from(1))
.await;
let base_row_ids = collect_column::<UInt64Type>(&base_table, "_rowid").await;
let permutation_row_ids = vec![
base_row_ids[3],
base_row_ids[1],
base_row_ids[3],
base_row_ids[2],
];
let permutation_batch = RecordBatch::try_new(
Arc::new(Schema::new(vec![
Field::new("row_id", DataType::UInt64, false),
Field::new(SPLIT_ID_COLUMN, DataType::UInt64, false),
])),
vec![
Arc::new(UInt64Array::from(permutation_row_ids)),
Arc::new(UInt64Array::from(vec![0; 4])),
],
)
.unwrap();
let permutation_table = virtual_table("row_ids", &permutation_batch).await;
let reader = PermutationReader::try_from_tables(
base_table.base_table().clone(),
permutation_table.base_table().clone(),
0,
)
.await
.unwrap();
let batch = reader
.take_offsets(&[0, 1, 2, 3], Select::All)
.await
.unwrap();
let idx_values = batch
.column(0)
.as_primitive::<Int32Type>()
.values()
.to_vec();
assert_eq!(idx_values, vec![3, 1, 3, 2]);
}
#[tokio::test]
async fn test_take_offsets_with_column_selection() {
let (base_table, row_ids_table, row_ids) = setup_permutation_tables(10).await;
@@ -883,17 +937,17 @@ mod tests {
.unwrap();
// With no permutation table, take_offsets uses the base table directly
let offsets = vec![0, 2, 4, 6];
let offsets = vec![0, 2, 0, 4, 6];
let batch = reader.take_offsets(&offsets, Select::All).await.unwrap();
assert_eq!(batch.num_rows(), 4);
assert_eq!(batch.num_rows(), 5);
let idx_values = batch
.column(0)
.as_primitive::<Int32Type>()
.values()
.to_vec();
assert_eq!(idx_values, vec![0, 2, 4, 6]);
assert_eq!(idx_values, vec![0, 2, 0, 4, 6]);
}
#[tokio::test]
+2
View File
@@ -102,6 +102,8 @@ pub enum Error {
},
#[snafu(display("Job{} was cancelled", job_id.as_ref().map(|id| format!(" {id}")).unwrap_or_default()))]
JobCancelled { job_id: Option<String> },
#[snafu(display("Job '{job_id}' was not found"))]
JobNotFound { job_id: String },
// 3rd party / external errors
#[snafu(display("object_store error: {source}"))]
+37 -3
View File
@@ -5,7 +5,7 @@
//! backend-neutral terminal result of a computed-column refresh.
//!
//! This module contains client/wire values only. Catalog persistence,
//! environment bake, and execution are owned by Sophon.
//! environment bake, secret resolution, and execution are owned by Sophon.
use std::collections::BTreeMap;
@@ -409,6 +409,8 @@ pub struct FunctionVersion {
runtime: PythonRuntimeSpec,
runtime_digest: String,
environment_digest: String,
#[serde(default, skip_serializing_if = "BTreeMap::is_empty")]
secret_bindings: BTreeMap<String, String>,
created_at: String,
}
@@ -441,6 +443,16 @@ impl FunctionVersion {
&self.environment_digest
}
/// Declared environment variable name to the Secret each one resolves.
///
/// Bindings are part of this version's identity; the credentials behind
/// them are not, and resolve at execution. Rotating a bound Secret
/// therefore changes what the same version runs with, and no value has a
/// field in this model.
pub fn secret_bindings(&self) -> &BTreeMap<String, String> {
&self.secret_bindings
}
pub fn created_at(&self) -> &str {
&self.created_at
}
@@ -482,12 +494,20 @@ pub struct FunctionArtifactRequest {
}
/// Stable request envelope for remote immutable Function registration.
///
/// Credential values deliberately have no field here. The only secret-shaped
/// thing a client sends is `secret_bindings`: the name of a Secret the
/// database already holds, which Sophon resolves inside the remote runtime.
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub struct FunctionRegistrationRequest {
pub name: String,
pub artifact: FunctionArtifactRequest,
pub signature: FunctionSignature,
pub runtime: PythonRuntimeSpec,
/// Declared environment variable name to the Secret it binds. Every bound
/// Secret must already exist; registration fails otherwise.
#[serde(default, skip_serializing_if = "BTreeMap::is_empty")]
pub secret_bindings: BTreeMap<String, String>,
}
impl_json!(FunctionRegistrationRequest);
@@ -582,8 +602,8 @@ pub struct InputBinding {
/// Ordered result-field to table-field mapping for a Function binding.
///
/// Assignment state is not part of the Slice 1 client contract. During the
/// NULL transition there is no public Lance cell-flag identifier to persist.
/// `nullable` describes the logical Function result. Physical computed-column
/// fields remain nullable while unassigned.
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub struct OutputMapping {
pub result_field: String,
@@ -594,6 +614,14 @@ pub struct OutputMapping {
pub nullable: bool,
}
/// Internal physical column preserving the parent validity of a flattened
/// named-struct result.
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub struct AssignmentMapping {
pub output_name: String,
pub output_field_id: i32,
}
/// Immutable Function binding persisted by the Enterprise table service.
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub struct FunctionBinding {
@@ -601,6 +629,8 @@ pub struct FunctionBinding {
function: FunctionVersionRef,
inputs: Vec<InputBinding>,
outputs: Vec<OutputMapping>,
#[serde(default, skip_serializing_if = "Option::is_none")]
assignment: Option<AssignmentMapping>,
/// Exact Arrow schema presented to the Function, encoded with the Lance
/// Namespace Arrow JSON representation.
#[serde(default, skip_serializing_if = "Option::is_none")]
@@ -627,6 +657,10 @@ impl FunctionBinding {
&self.outputs
}
pub fn assignment(&self) -> Option<&AssignmentMapping> {
self.assignment.as_ref()
}
pub fn input_schema(&self) -> Option<&Value> {
self.input_schema.as_ref()
}
+247 -12
View File
@@ -3,16 +3,53 @@
//! Handles to operations a server may run asynchronously.
use std::sync::Arc;
use std::sync::{Arc, RwLock, RwLockReadGuard, RwLockWriteGuard};
use arrow_array::RecordBatch;
use async_trait::async_trait;
use serde::{Serialize, de::DeserializeOwned};
use serde_json::Value;
use tokio::sync::watch;
use tokio::task::{AbortHandle, JoinHandle};
use crate::database::JobDescription;
use crate::error::{Error, JobFailure, Result};
/// Which of a job's events [`Job::events`] returns.
///
/// The handle already knows which job to ask about, so this narrows the
/// query rather than naming one.
#[derive(Debug, Clone, Default)]
pub struct JobEventsRequest {
/// Maximum event rows to return. The server applies its own default
/// (1000 rows) and maximum (10,000 rows) when this is `None`, and
/// truncates without saying so, which matters for a job with one event
/// per fragment.
pub limit: Option<u32>,
/// SQL-like filter over the event columns `state`, `updated_by`,
/// `emitted_from`, `emitted_by`, and `claim_entity`. For example
/// `state = 'claim_complete'` selects only per-claim completions.
pub filter: Option<String>,
}
impl JobEventsRequest {
pub fn limit(mut self, limit: u32) -> Self {
self.limit = Some(limit);
self
}
pub fn filter(mut self, filter: impl Into<String>) -> Self {
self.filter = Some(filter.into());
self
}
}
fn job_detail_not_supported<T>(what: &str) -> Result<T> {
Err(Error::NotSupported {
message: format!("{what} is only available for server-side jobs"),
})
}
/// Backend-specific tracking for an asynchronous operation.
#[async_trait]
pub(crate) trait JobHandle: Send + Sync {
@@ -23,6 +60,15 @@ pub(crate) trait JobHandle: Send + Sync {
async fn status(&self) -> Result<String>;
async fn wait(&self) -> Result<TerminalResult>;
async fn cancel(&self) -> Result<()>;
/// The job's full server-side record. Backends that run the operation in
/// this process have none and keep the default.
async fn describe(&self) -> Result<JobDescription> {
job_detail_not_supported("describing a job")
}
/// The job's recorded lifecycle events.
async fn events(&self, _request: JobEventsRequest) -> Result<Vec<RecordBatch>> {
job_detail_not_supported("job event history")
}
}
/// A backend-neutral successful terminal result.
@@ -85,16 +131,34 @@ enum JobInner<T> {
Completed(T),
}
/// What a handle last learned about its job. `state` is separate because an
/// in-process job can report one but has no server-side record behind it.
#[derive(Default)]
struct JobCache {
state: Option<String>,
description: Option<JobDescription>,
}
/// A handle to an operation that may still be running.
///
/// The operation may already be complete when the handle is created. `T` is
/// the endpoint's successful terminal result; unit-result operations use the
/// default `Job<()>`.
///
/// The detail accessors ([`Job::state`], [`Job::job_type`], ...) read what the
/// handle last observed. Submitting an operation returns only a job id, so
/// populating them eagerly would cost an extra round trip on every call:
///
/// - [`Job::refresh`] and [`Job::status`] fetch the whole record.
/// - [`Job::wait`] records the terminal state it establishes, but not the rest
/// of the record; call [`Job::refresh`] for that.
/// - Everything is `None` until one of those runs.
pub struct Job<T = ()>
where
T: Clone + Send + Sync + 'static,
{
inner: JobInner<T>,
cache: RwLock<JobCache>,
}
impl<T> std::fmt::Debug for Job<T>
@@ -102,18 +166,40 @@ where
T: Clone + Send + Sync + 'static,
{
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
f.debug_struct("Job")
.field("id", &self.id())
.field("done", &matches!(self.inner, JobInner::Completed(_)))
.finish()
let cache = self.cache_read();
let mut out = f.debug_struct("Job");
out.field("id", &self.id())
.field("done", &matches!(self.inner, JobInner::Completed(_)));
if let Some(state) = &cache.state {
out.field("state", state);
}
if let Some(description) = &cache.description {
out.field("job_type", &description.job_type)
.field("creation_ms", &description.creation_ms);
if !description.spec.is_null() {
out.field("spec", &description.spec);
}
if let Some(result) = &description.result {
out.field("result", result);
}
if let Some(failure) = &description.failure {
out.field("failure", failure);
}
}
out.finish()
}
}
impl Job<()> {
/// A job whose operation finished before the handle was created.
/// A job whose operation finished before the handle was created. Its
/// state is known without asking anyone, so the cache starts populated.
pub(crate) fn new_done() -> Self {
Self {
inner: JobInner::Completed(()),
cache: RwLock::new(JobCache {
state: Some("finished".to_string()),
description: None,
}),
}
}
@@ -123,8 +209,21 @@ impl Job<()> {
handle,
decode: Arc::new(|_| Ok(())),
},
cache: RwLock::default(),
}
}
/// A handle whose record the caller has already fetched, so the detail
/// accessors answer without a second round trip.
pub(crate) fn opened(handle: Box<dyn JobHandle>, description: JobDescription) -> Self {
let job = Self::new(handle);
{
let mut cache = job.cache_write();
cache.state = Some(description.state.clone());
cache.description = Some(description);
}
job
}
}
impl<T> Job<T>
@@ -138,6 +237,7 @@ where
handle,
decode: Arc::new(TerminalResult::decode::<T>),
},
cache: RwLock::default(),
}
}
}
@@ -169,16 +269,124 @@ where
}
}
fn cache_read(&self) -> RwLockReadGuard<'_, JobCache> {
self.cache.read().unwrap_or_else(|err| err.into_inner())
}
fn cache_write(&self) -> RwLockWriteGuard<'_, JobCache> {
self.cache.write().unwrap_or_else(|err| err.into_inner())
}
/// Asks the backend for this job's current state, and for a server-side
/// job its full record, then caches the answer for the detail accessors.
///
/// In-process operations have no server-side record, so only
/// [`Job::state`] is populated for them.
pub async fn refresh(&self) -> Result<()> {
self.refresh_state().await.map(|_| ())
}
/// Refreshes and reports the state, which every backend can answer.
async fn refresh_state(&self) -> Result<String> {
let JobInner::Handle { handle, .. } = &self.inner else {
let state = "finished".to_string();
self.cache_write().state = Some(state.clone());
return Ok(state);
};
match handle.describe().await {
Ok(description) => {
let state = description.state.clone();
let mut cache = self.cache_write();
cache.state = Some(state.clone());
cache.description = Some(description);
Ok(state)
}
// An in-process job knows its own state and nothing more.
Err(Error::NotSupported { .. }) => {
let state = handle.status().await?;
self.cache_write().state = Some(state.clone());
Ok(state)
}
Err(err) => Err(err),
}
}
/// The operation's current lifecycle state: "running", "finished",
/// "failed", or "cancelled".
///
/// A point snapshot; unlike [`Job::wait`] it does not block, raise on a
/// terminal failure state, or retry. States a newer server reports that
/// this client version does not know pass through as-is.
/// this client version does not know pass through as-is. Also refreshes
/// the detail accessors.
pub async fn status(&self) -> Result<String> {
self.refresh_state().await
}
/// The last lifecycle state this handle observed, without contacting the
/// backend. `None` until the handle has.
pub fn state(&self) -> Option<String> {
self.cache_read().state.clone()
}
/// The whole server-side record this handle last observed. The accessors
/// below read individual fields out of it. `None` for an in-process job,
/// which has no such record.
pub fn description(&self) -> Option<JobDescription> {
self.cache_read().description.clone()
}
/// The job's type, as the server names it. `None` for an in-process job.
pub fn job_type(&self) -> Option<String> {
self.with_description(|description| description.job_type.clone())
}
/// When the job was created, in milliseconds since the epoch. `None` for
/// an in-process job.
pub fn creation_ms(&self) -> Option<i64> {
self.with_description(|description| description.creation_ms)
}
/// The job-type-specific specification it was submitted with.
pub fn spec(&self) -> Option<Value> {
self.with_description(|description| description.spec.clone())
.filter(|spec| !spec.is_null())
}
/// The job-type-specific terminal result, as reported data rather than the
/// typed model [`Job::wait`] returns. `None` until the job succeeds.
pub fn result(&self) -> Option<Value> {
self.with_description(|description| description.result.clone())
.flatten()
}
/// Why the job failed, when it failed and the server reports a reason.
pub fn failure(&self) -> Option<JobFailure> {
self.with_description(|description| description.failure.clone())
.flatten()
}
fn with_description<R>(&self, read: impl FnOnce(&JobDescription) -> R) -> Option<R> {
self.cache_read().description.as_ref().map(read)
}
/// This job's recorded lifecycle events.
///
/// Unlike the detail accessors, which report a terminal result only once
/// the job reaches one, events are written as the job runs and outlive the
/// workers that produced them. A distributed job records a
/// `claim`/`claim_complete` pair per unit of work, each carrying
/// `rows_processed`, so a job that never finishes still accounts for what
/// it did. In-process operations keep no event history.
pub async fn events(&self, request: JobEventsRequest) -> Result<Vec<RecordBatch>> {
match &self.inner {
JobInner::Handle { handle, .. } => handle.status().await,
JobInner::Completed(_) => Ok("finished".to_string()),
JobInner::Handle { handle, .. } => handle.events(request).await,
// The operation finished before the handle existed, so there is no
// id to query with even when a server ran it.
JobInner::Completed(_) => Err(Error::NotSupported {
message: "this operation completed before its handle was created, so it \
carries no job id to query events with"
.to_string(),
}),
}
}
@@ -190,8 +398,19 @@ where
/// [`crate::Error::JobCancelled`] if it was cancelled.
pub async fn wait(&self) -> Result<T> {
match &self.inner {
JobInner::Handle { handle, decode } => (decode)(handle.wait().await?),
JobInner::Completed(result) => Ok(result.clone()),
JobInner::Handle { handle, decode } => {
let settled = handle.wait().await;
// Waiting already established a terminal state; record it so
// the detail accessors do not need another round trip for it.
if let Some(state) = terminal_state(&settled) {
self.cache_write().state = Some(state.to_string());
}
(decode)(settled?)
}
JobInner::Completed(result) => {
self.cache_write().state = Some("finished".to_string());
Ok(result.clone())
}
}
}
@@ -224,20 +443,36 @@ where
U: Clone + Send + Sync + 'static,
F: Fn(T) -> U + Send + Sync + 'static,
{
match self.inner {
// The mapped handle tracks the same job, so it inherits what this one
// has already learned about it.
let Self { inner, cache } = self;
match inner {
JobInner::Handle { handle, decode } => Job {
inner: JobInner::Handle {
handle,
decode: Arc::new(move |result| Ok(map((decode)(result)?))),
},
cache,
},
JobInner::Completed(result) => Job {
inner: JobInner::Completed(map(result)),
cache,
},
}
}
}
/// The lifecycle state a settled [`JobHandle::wait`] implies.
fn terminal_state(settled: &Result<TerminalResult>) -> Option<&'static str> {
match settled {
Ok(_) => Some("finished"),
Err(Error::JobFailed { .. }) => Some("failed"),
Err(Error::JobCancelled { .. }) => Some("cancelled"),
// Anything else is a transport failure, not a verdict on the job.
Err(_) => None,
}
}
/// How an in-process operation ended. Cloneable so every waiter can be given
/// the outcome; [`Error`] is not, so failures share one behind an [`Arc`].
#[derive(Clone)]
+1
View File
@@ -195,6 +195,7 @@ pub mod query;
#[cfg(feature = "remote")]
pub mod remote;
pub mod rerankers;
pub mod sql;
pub mod table;
#[cfg(test)]
pub mod test_utils;
+207 -47
View File
@@ -74,8 +74,15 @@ const EMBEDDING_FUNCTIONS_META_KEY: &str = "embedding_functions";
const COLUMN_DEFINITIONS_META_KEY: &str = "lancedb::column_definitions";
/// Value of the definition's `kind` tag for the projected `select` form.
/// Reserved for root-namespace sources; see [`NAMESPACED_SELECT_KIND`].
pub const SELECT_KIND: &str = "select";
/// The `select` form over a namespaced source: its own kind, because released
/// readers drop unknown fields and resolve a `select` source at the root, so
/// this routes them to the [`MaterializedViewKind::Unrecognized`] refusal
/// instead of a wrong-table refresh.
pub const NAMESPACED_SELECT_KIND: &str = "namespaced_select";
/// Which view outputs each source column is projected to directly. A column
/// may be projected more than once, so each carries every name the view gives
/// it, in projection order.
@@ -95,6 +102,10 @@ pub struct ViewProjection {
pub struct MaterializedViewDefinition {
/// Name of the source table, in the same database as the view.
pub source_table: String,
/// Namespace path holding the source table; empty is the root namespace.
/// A definition written before namespaced sources reads as root.
#[serde(default, skip_serializing_if = "Vec::is_empty")]
pub source_namespace: Vec<String>,
/// The projected output columns, in view schema order.
pub projections: Vec<ViewProjection>,
/// SQL predicate selecting the source rows the view holds.
@@ -129,7 +140,12 @@ pub(crate) fn definition_to_metadata(definition: &MaterializedViewDefinition) ->
let mut value = serde_json::to_value(definition).map_err(|e| Error::Runtime {
message: format!("failed to serialize view definition: {e}"),
})?;
value["kind"] = serde_json::Value::String(SELECT_KIND.to_string());
let kind = if definition.source_namespace.is_empty() {
SELECT_KIND
} else {
NAMESPACED_SELECT_KIND
};
value["kind"] = serde_json::Value::String(kind.to_string());
Ok(value.to_string())
}
@@ -150,12 +166,21 @@ pub fn materialized_view_kind(
.get("kind")
.and_then(|k| k.as_str())
.ok_or_else(|| unreadable(&"missing kind tag"))?;
if kind != SELECT_KIND {
if kind != SELECT_KIND && kind != NAMESPACED_SELECT_KIND {
return Ok(Some(MaterializedViewKind::Unrecognized {
kind: kind.to_string(),
}));
}
let definition = serde_json::from_value(value).map_err(|e| unreadable(&e))?;
let kind = kind.to_string();
let definition: MaterializedViewDefinition =
serde_json::from_value(value).map_err(|e| unreadable(&e))?;
// No correct writer produces a kind that disagrees with its namespace.
if (kind == SELECT_KIND) != definition.source_namespace.is_empty() {
return Err(unreadable(&format!(
"kind '{kind}' does not match its source namespace {:?}",
definition.source_namespace
)));
}
Ok(Some(MaterializedViewKind::Select(definition)))
}
@@ -166,6 +191,7 @@ pub fn materialized_view_kind(
pub(crate) fn plan(
source_schema: SchemaRef,
source_table: &str,
source_namespace: &[String],
projections: &[(String, String)],
filter: Option<&str>,
limit: Option<u64>,
@@ -319,6 +345,7 @@ pub(crate) fn plan(
let definition = MaterializedViewDefinition {
source_table: source_table.to_string(),
source_namespace: source_namespace.to_vec(),
projections: projections
.into_iter()
.map(|(output, expression)| ViewProjection { output, expression })
@@ -602,7 +629,7 @@ pub struct PreparedDeclaration {
definition: MaterializedViewDefinition,
/// The source's own database: the only place
/// [`PreparedDeclaration::create`] will put the view, because refresh
/// resolves the recorded source name through the view's database.
/// resolves the recorded source coordinate through the view's database.
database: Arc<dyn Database>,
}
@@ -622,10 +649,21 @@ impl PreparedDeclaration {
/// Create the view table and verify it, consuming the declaration.
///
/// The view goes in the source's own database, where refresh resolves the
/// recorded source name. Stable row ids are requested at both levels and
/// verified rather than trusted; nothing is rolled back on failure.
/// The view goes at the root of the source's own database, where refresh
/// resolves the recorded source coordinate. Stable row ids are requested
/// at both levels and verified rather than trusted; nothing is rolled
/// back on failure.
pub async fn create(self, name: &str) -> Result<MaterializedView> {
self.create_in(&[], name).await
}
/// Create the view in `namespace_path`, empty for the root namespace.
/// Otherwise [`PreparedDeclaration::create`].
pub async fn create_in(
self,
namespace_path: &[String],
name: &str,
) -> Result<MaterializedView> {
let empty: Vec<std::result::Result<arrow_array::RecordBatch, arrow_schema::ArrowError>> =
vec![];
// Minted here, not at preparation: a declaration can be cloned and
@@ -640,6 +678,7 @@ impl PreparedDeclaration {
let reader: Box<dyn arrow_array::RecordBatchReader + Send> =
Box::new(arrow_array::RecordBatchIterator::new(empty, schema));
let mut request = CreateTableRequest::new(name.to_string(), Box::new(reader));
request.namespace_path = namespace_path.to_vec();
let write_params = request
.write_options
.lance_write_params
@@ -680,8 +719,8 @@ impl PreparedDeclaration {
/// Validate a view declaration against its live source and hold what its
/// creation needs. The declaration is canonicalized through the coordinate a
/// refresh will resolve, so a handle that does not resolve back to itself is
/// rejected, as is a namespaced source. Same creation-time checks as
/// refresh will resolve -- name and namespace both -- so a handle that does
/// not resolve back to itself is rejected. Same creation-time checks as
/// [`Connection::create_materialized_view`].
///
/// ```no_run
@@ -710,17 +749,9 @@ pub async fn prepare_declaration(
message: "materialized views are supported only on local databases".into(),
});
};
// The definition records the source by bare name; any other source
// form would be recorded as a name its refresh cannot resolve.
if !source.namespace().is_empty() {
return Err(Error::NotSupported {
message: format!(
"a namespaced source cannot be recorded in a view definition; \
'{}' must be a root-namespace table",
source.name()
),
});
}
// Refresh resolves the source at exactly this coordinate, so the
// definition records the namespace alongside the name.
let source_namespace = source.namespace().to_vec();
let database = source
.database_opt()
.ok_or_else(|| Error::InvalidInput {
@@ -734,7 +765,7 @@ pub async fn prepare_declaration(
let resolved = database
.open_table(OpenTableRequest {
name: source.name().to_string(),
namespace_path: vec![],
namespace_path: source_namespace.clone(),
index_cache_size: None,
lance_read_params: None,
location: None,
@@ -780,6 +811,7 @@ pub async fn prepare_declaration(
let (definition, mut fields, lineage) = plan(
source_schema.clone(),
resolved.name(),
&source_namespace,
projections,
filter,
limit,
@@ -839,7 +871,9 @@ fn ensure_local(connection: &Connection) -> Result<()> {
pub struct CreateMaterializedViewBuilder {
connection: Connection,
name: String,
namespace: Vec<String>,
source: String,
source_namespace: Vec<String>,
projections: Vec<(String, String)>,
filter: Option<String>,
limit: Option<u64>,
@@ -850,13 +884,28 @@ impl CreateMaterializedViewBuilder {
Self {
connection,
name,
namespace: Vec::new(),
source,
source_namespace: Vec::new(),
projections: Vec::new(),
filter: None,
limit: None,
}
}
/// The namespace to create the view in. Defaults to the root namespace.
pub fn namespace(mut self, namespace_path: Vec<String>) -> Self {
self.namespace = namespace_path;
self
}
/// The namespace holding the source table; recorded in the definition
/// for refresh to resolve. Defaults to the root namespace.
pub fn source_namespace(mut self, namespace_path: Vec<String>) -> Self {
self.source_namespace = namespace_path;
self
}
/// The view's columns, as `(name, SQL expression)` pairs. Not calling
/// this selects every source column, expanded at creation time.
pub fn select(
@@ -887,7 +936,12 @@ impl CreateMaterializedViewBuilder {
/// provenance across compaction, and cannot be enabled later.
pub async fn execute(self) -> Result<MaterializedView> {
ensure_local(&self.connection)?;
let source = self.connection.open_table(&self.source).execute().await?;
let source = self
.connection
.open_table(&self.source)
.namespace(self.source_namespace.clone())
.execute()
.await?;
let prepared = prepare_declaration(
&source,
&self.projections,
@@ -895,7 +949,7 @@ impl CreateMaterializedViewBuilder {
self.limit,
)
.await?;
prepared.create(&self.name).await
prepared.create_in(&self.namespace, &self.name).await
}
}
@@ -1152,6 +1206,7 @@ mod tests {
view.definition(),
&MaterializedViewDefinition {
source_table: "people".into(),
source_namespace: Vec::new(),
projections: vec![
ViewProjection {
output: "name".into(),
@@ -2083,33 +2138,138 @@ mod tests {
.await
.unwrap_err();
assert!(err.to_string().contains("custom_loc"), "{err}");
}
// A namespaced source cannot be recorded in the definition: the
// bare name refresh resolves would reach a different table or none.
let namespaced = crate::table::NativeTable::create(
"memory://ns_src",
"ns_src",
vec!["ns".to_string()],
Box::new(arrow_array::RecordBatchIterator::new(
vec![],
std::sync::Arc::new(arrow_schema::Schema::new(vec![arrow_schema::Field::new(
"id",
arrow_schema::DataType::Int32,
true,
)])),
)) as Box<dyn arrow_array::RecordBatchReader + Send>,
None,
None,
None,
None,
std::collections::HashSet::new(),
)
/// A view declared over a namespaced source records that namespace, and
/// refresh resolves the source through it -- the coordinate round-trips.
#[tokio::test]
async fn a_namespaced_source_round_trips_through_refresh() {
use lance_namespace::models::CreateNamespaceRequest;
let tmp = tempfile::tempdir().unwrap();
let mut properties = std::collections::HashMap::new();
properties.insert("root".to_string(), tmp.path().to_str().unwrap().to_string());
let conn = crate::connect_namespace("dir", properties)
.execute()
.await
.unwrap();
conn.create_namespace(CreateNamespaceRequest {
id: Some(vec!["ns".into()]),
..Default::default()
})
.await
.unwrap();
let namespaced = Table::new(std::sync::Arc::new(namespaced), conn.database().clone());
let err = prepare_declaration(&namespaced, &[], None, None)
let batch = record_batch!(
("name", Utf8, ["ada", "grace", "alan"]),
("age", Int32, [36, 85, 41])
)
.unwrap();
conn.create_table("people", batch)
.namespace(vec!["ns".to_string()])
.write_options(stable_row_ids())
.execute()
.await
.unwrap_err();
assert!(err.to_string().contains("namespaced source"), "{err}");
.unwrap();
// A decoy of the same name at the root: resolving the source at the
// wrong namespace materializes one row here instead of three.
let decoy = record_batch!(("name", Utf8, ["mallory"]), ("age", Int32, [42])).unwrap();
conn.create_table("people", decoy)
.write_options(stable_row_ids())
.execute()
.await
.unwrap();
let view = conn
.create_materialized_view("adults", "people")
.namespace(vec!["ns".to_string()])
.source_namespace(vec!["ns".to_string()])
.select([("name", "name")])
.only_if("age >= 18")
.execute()
.await
.unwrap();
assert_eq!(view.definition().source_table, "people");
assert_eq!(view.definition().source_namespace, vec!["ns".to_string()]);
assert_eq!(view.table().namespace(), &["ns"]);
// Refresh resolves the source at the recorded namespace, not at root.
let result = view.refresh().execute().await.unwrap();
assert_eq!(result.rows_written, 3);
}
/// A definition stored before namespaced sources existed carries no
/// namespace key and must read as the root namespace.
#[test]
fn a_definition_without_a_namespace_reads_as_root() {
let stored =
r#"{"source_table":"people","projections":[{"output":"name","expression":"name"}]}"#;
let definition: MaterializedViewDefinition = serde_json::from_str(stored).unwrap();
assert!(definition.source_namespace.is_empty());
}
fn definition(source_namespace: Vec<String>) -> MaterializedViewDefinition {
MaterializedViewDefinition {
source_table: "people".to_string(),
source_namespace,
projections: vec![ViewProjection {
output: "name".to_string(),
expression: "name".to_string(),
}],
filter: None,
limit: None,
inputs: vec!["name".to_string()],
}
}
/// A root definition keeps the pre-namespace `select` form byte-stably;
/// a namespaced one moves off `select`, which sends pre-namespace readers
/// to the `Unrecognized` refusal instead of a root resolve.
#[test]
fn a_namespaced_definition_is_refused_by_the_pre_namespace_reader() {
let root = definition_to_metadata(&definition(Vec::new())).unwrap();
let root: serde_json::Value = serde_json::from_str(&root).unwrap();
assert_eq!(root["kind"], "select");
assert!(
root.get("source_namespace").is_none(),
"a root definition must not grow new keys: {root}"
);
let stored = definition_to_metadata(&definition(vec!["ns".to_string()])).unwrap();
let value: serde_json::Value = serde_json::from_str(&stored).unwrap();
// The pre-namespace discriminator is `kind == "select"`; anything
// else lands in its Unrecognized refusal rather than in a root open.
assert_eq!(value["kind"], "namespaced_select");
// The current reader round-trips the coordinate.
let metadata = HashMap::from([(DEFINITION_META_KEY.to_string(), stored)]);
match materialized_view_kind(&metadata).unwrap() {
Some(MaterializedViewKind::Select(read)) => {
assert_eq!(read.source_namespace, vec!["ns".to_string()])
}
other => panic!("expected the namespaced select form, got {other:?}"),
}
}
/// A kind that disagrees with its namespace is an error, not a view:
/// under `select` it is the shape old readers would resolve at the root.
#[test]
fn a_kind_namespace_mismatch_is_refused() {
for (kind, namespace) in [
(SELECT_KIND, vec!["ns".to_string()]),
(NAMESPACED_SELECT_KIND, Vec::new()),
] {
let mut value = serde_json::to_value(definition(namespace)).unwrap();
value["kind"] = serde_json::Value::String(kind.to_string());
let metadata = HashMap::from([(DEFINITION_META_KEY.to_string(), value.to_string())]);
let err = materialized_view_kind(&metadata).unwrap_err();
assert!(
err.to_string()
.contains("does not match its source namespace"),
"kind '{kind}': {err}"
);
}
}
}
@@ -170,6 +170,7 @@ pub(crate) async fn execute_refresh(
let (replanned, mut planned_fields, _renames) = super::plan(
source_schema,
&definition.source_table,
&definition.source_namespace,
&projections,
definition.filter.as_deref(),
definition.limit,
@@ -590,7 +591,7 @@ async fn open_source(view: &Table, definition: &MaterializedViewDefinition) -> R
let source = database
.open_table(OpenTableRequest {
name: definition.source_table.clone(),
namespace_path: Vec::new(),
namespace_path: definition.source_namespace.clone(),
index_cache_size: None,
lance_read_params: None,
location: None,
@@ -2919,6 +2920,7 @@ mod tests {
let replacement = crate::materialized_view::MaterializedViewDefinition {
source_table: "src".into(),
source_namespace: Vec::new(),
projections: vec![
crate::materialized_view::ViewProjection {
output: "x".into(),
@@ -2958,6 +2960,7 @@ mod tests {
let narrower = crate::materialized_view::MaterializedViewDefinition {
source_table: "src".into(),
source_namespace: Vec::new(),
projections: vec![crate::materialized_view::ViewProjection {
output: "x".into(),
expression: "x".into(),
+835 -5
View File
@@ -1,21 +1,37 @@
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
use std::collections::{HashMap, HashSet};
use std::pin::Pin;
use std::sync::Arc;
use std::{future::Future, time::Duration};
use arrow::compute::concat_batches;
use arrow_array::{Array, Float16Array, Float32Array, Float64Array, RecordBatch, make_array};
use arrow_array::{
Array, Float16Array, Float32Array, Float64Array, RecordBatch, UInt64Array,
cast::AsArray,
make_array,
types::{Int64Type, UInt64Type},
};
use arrow_schema::{DataType, SchemaRef};
use datafusion_common::{DataFusionError, Result as DataFusionResult};
use datafusion_execution::TaskContext;
use datafusion_expr::{Expr, col, lit};
use datafusion_physical_plan::ExecutionPlan;
use futures::{FutureExt, TryFutureExt, TryStreamExt, stream, try_join};
use datafusion_physical_expr::{EquivalenceProperties, Partitioning};
use datafusion_physical_plan::{
DisplayAs, DisplayFormatType, ExecutionPlan, ExecutionPlanProperties, PlanProperties,
coalesce_partitions::CoalescePartitionsExec,
execution_plan::{Boundedness, EmissionType},
limit::GlobalLimitExec,
stream::RecordBatchStreamAdapter,
};
use futures::{FutureExt, StreamExt, TryFutureExt, TryStreamExt, stream, try_join};
use half::f16;
/// Re-export Lance ColumnOrdering type for use in query ordering
pub use lance::dataset::scanner::ColumnOrdering;
use lance::dataset::{ROW_ID, scanner::DatasetRecordBatchStream};
use lance_arrow::RecordBatchExt;
use lance_datafusion::exec::execute_plan;
use lance_datafusion::exec::{execute_plan, format_plan as format_analyzed_plan};
use lance_index::scalar::FullTextSearchQuery;
use lance_index::scalar::inverted::SCORE_COL;
use lance_index::vector::DIST_COL;
@@ -825,6 +841,14 @@ pub struct QueryRequest {
/// Offset of the query.
pub offset: Option<usize>,
/// Dataset offsets whose occurrence multiplicity must be restored after
/// executing the physical lookup represented by this request.
///
/// This is client-side execution metadata used when a [`TakeQuery`] is
/// converted into a request. It is not sent to remote services.
#[doc(hidden)]
pub take_offsets: Option<Vec<u64>>,
/// Apply filter to the returned rows.
pub filter: Option<QueryFilter>,
@@ -893,6 +917,7 @@ impl Default for QueryRequest {
Self {
limit: None,
offset: None,
take_offsets: None,
filter: None,
filter_error: None,
full_text_search: None,
@@ -1529,6 +1554,302 @@ impl HasQuery for VectorQuery {
}
}
fn take_occurrences(offsets: &[u64]) -> HashMap<u64, usize> {
let mut occurrences = HashMap::with_capacity(offsets.len());
for offset in offsets {
*occurrences.entry(*offset).or_insert(0) += 1;
}
occurrences
}
fn restore_take_batch_with_occurrences(
batch: RecordBatch,
offsets: &[u64],
occurrences: &HashMap<u64, usize>,
ordering_column: &str,
drop_ordering_column: bool,
preserve_order: bool,
) -> Result<RecordBatch> {
let actual_offsets = batch
.column_by_name(ordering_column)
.ok_or_else(|| Error::Schema {
message: format!(
"take query result did not include ordering column '{ordering_column}'"
),
})?;
let actual_offsets = match actual_offsets.data_type() {
DataType::UInt64 => actual_offsets
.as_primitive::<UInt64Type>()
.values()
.to_vec(),
DataType::Int64 => actual_offsets
.as_primitive::<Int64Type>()
.values()
.iter()
.map(|offset| {
u64::try_from(*offset).map_err(|_| Error::Schema {
message: format!(
"take query ordering column '{ordering_column}' contained a negative offset"
),
})
})
.collect::<Result<Vec<_>>>()?,
data_type => {
return Err(Error::Schema {
message: format!(
"take query ordering column '{ordering_column}' had unsupported type {data_type}"
),
});
}
};
let mut desired_order = Vec::with_capacity(offsets.len());
if preserve_order {
let ordering = actual_offsets
.iter()
.copied()
.enumerate()
.map(|(index, offset)| (offset, index as u64))
.collect::<HashMap<_, _>>();
// Missing offsets retain the filter-based behavior of returning no row.
desired_order.extend(
offsets
.iter()
.filter_map(|offset| ordering.get(offset).copied()),
);
} else {
// Public take queries do not guarantee output order. Preserve the lookup's
// existing order and only restore the multiplicity of each matching row.
for (index, offset) in actual_offsets.iter().enumerate() {
if let Some(count) = occurrences.get(offset) {
desired_order.extend(std::iter::repeat_n(index as u64, *count));
}
}
}
let mut ordered_batch = if desired_order.len() == batch.num_rows()
&& desired_order
.iter()
.enumerate()
.all(|(index, desired)| *desired == index as u64)
{
batch
} else {
arrow_select::take::take_record_batch(&batch, &UInt64Array::from(desired_order))?
};
if drop_ordering_column {
ordered_batch = ordered_batch.drop_column(ordering_column)?;
}
Ok(ordered_batch)
}
#[cfg(test)]
fn restore_take_batch(
batch: RecordBatch,
offsets: &[u64],
ordering_column: &str,
drop_ordering_column: bool,
preserve_order: bool,
) -> Result<RecordBatch> {
restore_take_batch_with_occurrences(
batch,
offsets,
&take_occurrences(offsets),
ordering_column,
drop_ordering_column,
preserve_order,
)
}
/// Restores the logical offset occurrence sequence above the physical lookup plan.
///
/// The lookup plan returns each matching row at most once. For ordinary unordered
/// takes this operator expands each input batch incrementally and preserves the
/// lookup's partitioning. The explicitly ordered reader path collects one coalesced
/// input before restoring requested order. Pagination must remain above this operator
/// so it applies to occurrences.
#[derive(Debug)]
struct TakeRestoreExec {
input: Arc<dyn ExecutionPlan>,
offsets: Vec<u64>,
occurrences: Arc<HashMap<u64, usize>>,
ordering_column: String,
drop_ordering_column: bool,
preserve_order: bool,
schema: SchemaRef,
properties: Arc<PlanProperties>,
}
impl TakeRestoreExec {
fn try_new(
input: Arc<dyn ExecutionPlan>,
offsets: Vec<u64>,
ordering_column: String,
drop_ordering_column: bool,
preserve_order: bool,
) -> Result<Self> {
let schema = if drop_ordering_column {
RecordBatch::new_empty(input.schema())
.drop_column(&ordering_column)?
.schema()
} else {
input.schema()
};
let partition_count = if preserve_order {
1
} else {
input.output_partitioning().partition_count()
};
let emission_type = if preserve_order {
EmissionType::Final
} else {
EmissionType::Incremental
};
let properties = Arc::new(PlanProperties::new(
EquivalenceProperties::new(schema.clone()),
Partitioning::UnknownPartitioning(partition_count),
emission_type,
Boundedness::Bounded,
));
Ok(Self {
input,
occurrences: Arc::new(take_occurrences(&offsets)),
offsets,
ordering_column,
drop_ordering_column,
preserve_order,
schema,
properties,
})
}
}
impl DisplayAs for TakeRestoreExec {
fn fmt_as(
&self,
_display_type: DisplayFormatType,
formatter: &mut std::fmt::Formatter<'_>,
) -> std::fmt::Result {
write!(
formatter,
"TakeRestoreExec: occurrences={}",
self.offsets.len()
)
}
}
impl ExecutionPlan for TakeRestoreExec {
fn name(&self) -> &str {
"TakeRestoreExec"
}
fn properties(&self) -> &Arc<PlanProperties> {
&self.properties
}
fn children(&self) -> Vec<&Arc<dyn ExecutionPlan>> {
vec![&self.input]
}
fn maintains_input_order(&self) -> Vec<bool> {
vec![!self.preserve_order]
}
fn benefits_from_input_partitioning(&self) -> Vec<bool> {
vec![false]
}
fn with_new_children(
self: Arc<Self>,
children: Vec<Arc<dyn ExecutionPlan>>,
) -> DataFusionResult<Arc<dyn ExecutionPlan>> {
if children.len() != 1 {
return Err(DataFusionError::Internal(format!(
"TakeRestoreExec expected one child, got {}",
children.len()
)));
}
let child = children.into_iter().next().unwrap();
let plan = Self::try_new(
child,
self.offsets.clone(),
self.ordering_column.clone(),
self.drop_ordering_column,
self.preserve_order,
)
.map_err(|error| DataFusionError::External(Box::new(error)))?;
Ok(Arc::new(plan))
}
fn execute(
&self,
partition: usize,
context: Arc<TaskContext>,
) -> DataFusionResult<datafusion_physical_plan::SendableRecordBatchStream> {
let partition_count = self.input.output_partitioning().partition_count();
if partition >= partition_count || (self.preserve_order && partition != 0) {
return Err(DataFusionError::Internal(format!(
"TakeRestoreExec cannot execute partition {partition}; input has {partition_count} partitions"
)));
}
let input = self.input.execute(partition, context)?;
let output_schema = self.schema.clone();
let offsets = self.offsets.clone();
let occurrences = self.occurrences.clone();
let ordering_column = self.ordering_column.clone();
let drop_ordering_column = self.drop_ordering_column;
let preserve_order = self.preserve_order;
let stream: Pin<Box<dyn futures::Stream<Item = DataFusionResult<RecordBatch>> + Send>> =
if preserve_order {
let input_schema = input.schema();
Box::pin(stream::once(async move {
let batches = input.try_collect::<Vec<_>>().await?;
let batch = if batches.is_empty() {
RecordBatch::new_empty(input_schema.clone())
} else {
concat_batches(&input_schema, &batches)?
};
restore_take_batch_with_occurrences(
batch,
&offsets,
&occurrences,
&ordering_column,
drop_ordering_column,
true,
)
.map_err(|error| DataFusionError::External(Box::new(error)))
}))
} else {
Box::pin(input.map(move |batch| {
batch.and_then(|batch| {
restore_take_batch_with_occurrences(
batch,
&offsets,
&occurrences,
&ordering_column,
drop_ordering_column,
false,
)
.map_err(|error| DataFusionError::External(Box::new(error)))
})
}))
};
Ok(Box::pin(RecordBatchStreamAdapter::new(
output_schema,
stream,
)))
}
fn supports_limit_pushdown(&self) -> bool {
false
}
}
/// A builder for LanceDB take queries.
///
/// See [`crate::Table::query`] for more details on queries
@@ -1545,6 +1866,8 @@ impl HasQuery for VectorQuery {
pub struct TakeQuery {
parent: Arc<dyn BaseTable>,
request: QueryRequest,
offsets: Option<Vec<u64>>,
preserve_order: bool,
}
impl TakeQuery {
@@ -1552,15 +1875,24 @@ impl TakeQuery {
///
/// See [`crate::Table::take_offsets`] for more details.
pub fn from_offsets(parent: Arc<dyn BaseTable>, offsets: Vec<u64>) -> Self {
let in_list: Vec<Expr> = offsets.iter().map(|o| lit(*o)).collect();
let mut seen = HashSet::with_capacity(offsets.len());
let in_list: Vec<Expr> = offsets
.iter()
.copied()
.filter(|offset| seen.insert(*offset))
.map(lit)
.collect();
Self {
parent,
request: QueryRequest {
filter: Some(QueryFilter::Datafusion(
col("_rowoffset").in_list(in_list, false),
)),
take_offsets: Some(offsets.clone()),
..Default::default()
},
offsets: Some(offsets),
preserve_order: false,
}
}
@@ -1575,9 +1907,181 @@ impl TakeQuery {
filter: Some(QueryFilter::Datafusion(col(ROW_ID).in_list(in_list, false))),
..Default::default()
},
offsets: None,
preserve_order: false,
}
}
/// Preserve the requested offset order when restoring duplicate occurrences.
///
/// This is reserved for readers whose API explicitly guarantees ordering.
pub(crate) fn preserve_order(mut self) -> Self {
debug_assert!(self.offsets.is_some());
self.preserve_order = true;
self
}
async fn request_with_row_offset(
parent: &dyn BaseTable,
request: &QueryRequest,
) -> Result<(QueryRequest, String, bool)> {
const ROW_OFFSET: &str = "_rowoffset";
const INTERNAL_ROW_OFFSET: &str = "__lancedb_take_row_offset";
let mut request = request.clone();
// The physical lookup must not recursively restore occurrences. The
// wrapper above this request owns that logical operation.
request.take_offsets = None;
let (ordering_column, drop_ordering_column) = match &mut request.select {
Select::All => {
let mut columns = parent
.schema()
.await?
.fields()
.iter()
.map(|field| field.name().clone())
.collect::<Vec<_>>();
columns.push(ROW_OFFSET.to_string());
request.select = Select::Columns(columns);
(ROW_OFFSET.to_string(), true)
}
Select::Columns(columns) => {
if columns.iter().any(|column| column == ROW_OFFSET) {
(ROW_OFFSET.to_string(), false)
} else {
columns.push(ROW_OFFSET.to_string());
(ROW_OFFSET.to_string(), true)
}
}
Select::Dynamic(columns) => {
let mut ordering_column = INTERNAL_ROW_OFFSET.to_string();
while columns.iter().any(|(name, _)| name == &ordering_column) {
ordering_column.push('_');
}
columns.push((ordering_column.clone(), ROW_OFFSET.to_string()));
(ordering_column, true)
}
Select::Expr(columns) => {
let mut ordering_column = INTERNAL_ROW_OFFSET.to_string();
while columns.iter().any(|(name, _)| name == &ordering_column) {
ordering_column.push('_');
}
columns.push((ordering_column.clone(), col(ROW_OFFSET)));
(ordering_column, true)
}
};
Ok((request, ordering_column, drop_ordering_column))
}
async fn prepare_offsets_lookup(
parent: &dyn BaseTable,
request: &QueryRequest,
) -> Result<(QueryRequest, String, bool, usize, Option<usize>)> {
let (mut request, ordering_column, drop_ordering_column) =
Self::request_with_row_offset(parent, request).await?;
// The lookup operates on distinct physical rows. Pagination is a logical
// operation over occurrences and must be applied only after restoration.
let output_offset = request.offset.take().unwrap_or_default();
let output_limit = request.limit.take();
Ok((
request,
ordering_column,
drop_ordering_column,
output_offset,
output_limit,
))
}
fn wrap_offsets_plan(
lookup: Arc<dyn ExecutionPlan>,
offsets: &[u64],
ordering_column: String,
drop_ordering_column: bool,
output_offset: usize,
output_limit: Option<usize>,
preserve_order: bool,
) -> Result<Arc<dyn ExecutionPlan>> {
let lookup = if preserve_order {
Arc::new(CoalescePartitionsExec::new(lookup)) as Arc<dyn ExecutionPlan>
} else {
lookup
};
let restored: Arc<dyn ExecutionPlan> = Arc::new(TakeRestoreExec::try_new(
lookup,
offsets.to_vec(),
ordering_column,
drop_ordering_column,
preserve_order,
)?);
if output_offset > 0 || output_limit.is_some() {
Ok(Arc::new(GlobalLimitExec::new(
restored,
output_offset,
output_limit,
)))
} else {
Ok(restored)
}
}
fn wrap_offsets_explanation(
lookup: &str,
occurrence_count: usize,
output_offset: usize,
output_limit: Option<usize>,
preserve_order: bool,
) -> String {
fn indent(plan: &str, spaces: usize) -> String {
let indentation = " ".repeat(spaces);
plan.lines()
.map(|line| format!("{indentation}{line}"))
.collect::<Vec<_>>()
.join("\n")
}
let restored = if preserve_order {
format!(
"TakeRestoreExec: occurrences={occurrence_count}\n CoalescePartitionsExec\n{}",
indent(lookup, 4)
)
} else {
format!(
"TakeRestoreExec: occurrences={occurrence_count}\n{}",
indent(lookup, 2)
)
};
if output_offset > 0 || output_limit.is_some() {
let fetch = output_limit
.map(|limit| limit.to_string())
.unwrap_or_else(|| "None".to_string());
format!(
"GlobalLimitExec: skip={output_offset}, fetch={fetch}\n{}",
indent(&restored, 2)
)
} else {
restored
}
}
async fn create_offsets_plan(
&self,
offsets: &[u64],
options: QueryExecutionOptions,
) -> Result<Arc<dyn ExecutionPlan>> {
create_take_offsets_plan(
self.parent.as_ref(),
&self.request,
offsets,
options,
self.preserve_order,
)
.await
}
/// Convert the `TakeQuery` into a `QueryRequest`.
pub fn into_request(self) -> QueryRequest {
self.request
@@ -1622,6 +2126,63 @@ impl TakeQuery {
}
}
pub(crate) async fn create_take_offsets_plan(
parent: &dyn BaseTable,
request: &QueryRequest,
offsets: &[u64],
options: QueryExecutionOptions,
preserve_order: bool,
) -> Result<Arc<dyn ExecutionPlan>> {
let (request, ordering_column, drop_ordering_column, output_offset, output_limit) =
TakeQuery::prepare_offsets_lookup(parent, request).await?;
let lookup_options = if preserve_order {
options.without_output_batch_length_limit()
} else {
options
};
let lookup = parent
.create_plan(&AnyQuery::Query(request), lookup_options)
.await?;
TakeQuery::wrap_offsets_plan(
lookup,
offsets,
ordering_column,
drop_ordering_column,
output_offset,
output_limit,
preserve_order,
)
}
pub(crate) async fn explain_take_offsets_plan(
parent: &dyn BaseTable,
request: &QueryRequest,
offsets: &[u64],
verbose: bool,
) -> Result<String> {
let (request, _, _, output_offset, output_limit) =
TakeQuery::prepare_offsets_lookup(parent, request).await?;
let lookup = parent
.explain_plan(&AnyQuery::Query(request), verbose)
.await?;
Ok(TakeQuery::wrap_offsets_explanation(
&lookup,
offsets.len(),
output_offset,
output_limit,
false,
))
}
pub(crate) async fn prepare_take_offsets_request(
parent: &dyn BaseTable,
request: &QueryRequest,
) -> Result<QueryRequest> {
let (request, _, _, _, _) = TakeQuery::prepare_offsets_lookup(parent, request).await?;
Ok(request)
}
impl HasQuery for TakeQuery {
fn mut_query(&mut self) -> &mut QueryRequest {
&mut self.request
@@ -1630,6 +2191,10 @@ impl HasQuery for TakeQuery {
impl ExecutableQuery for TakeQuery {
async fn create_plan(&self, options: QueryExecutionOptions) -> Result<Arc<dyn ExecutionPlan>> {
if let Some(offsets) = &self.offsets {
return self.create_offsets_plan(offsets, options).await;
}
let req = AnyQuery::Query(self.request.clone());
self.parent.clone().create_plan(&req, options).await
}
@@ -1638,6 +2203,18 @@ impl ExecutableQuery for TakeQuery {
&self,
options: QueryExecutionOptions,
) -> Result<SendableRecordBatchStream> {
if self.offsets.is_some() {
let plan = self.create_plan(options.clone()).await?;
let inner = execute_plan(plan, Default::default())?;
let inner = MaxBatchLengthStream::new_boxed(inner, options.max_batch_length as usize);
let inner = if let Some(timeout) = options.timeout {
TimeoutStream::new_boxed(inner, timeout)
} else {
inner
};
return Ok(DatasetRecordBatchStream::new(inner).into());
}
let query = AnyQuery::Query(self.request.clone());
Ok(SendableRecordBatchStream::from(
self.parent.clone().query(&query, options).await?,
@@ -1645,11 +2222,51 @@ impl ExecutableQuery for TakeQuery {
}
async fn explain_plan(&self, verbose: bool) -> Result<String> {
if let Some(offsets) = &self.offsets {
let (request, _, _, output_offset, output_limit) =
Self::prepare_offsets_lookup(self.parent.as_ref(), &self.request).await?;
// Ask the backend to explain only the distinct-row lookup. This keeps
// remote explanation non-executing while still showing the client-side
// operators that create_plan and execution place above that lookup.
let lookup = self
.parent
.explain_plan(&AnyQuery::Query(request), verbose)
.await?;
return Ok(Self::wrap_offsets_explanation(
&lookup,
offsets.len(),
output_offset,
output_limit,
self.preserve_order,
));
}
let query = AnyQuery::Query(self.request.clone());
self.parent.explain_plan(&query, verbose).await
}
async fn analyze_plan_with_options(&self, options: QueryExecutionOptions) -> Result<String> {
if self.offsets.is_some() {
if self.parent.analyze_plan_is_remote() {
let (request, _, _, _, _) =
Self::prepare_offsets_lookup(self.parent.as_ref(), &self.request).await?;
// Remote analysis is owned by the service. The current wire
// request represents only the distinct-row lookup, so return
// the service report unchanged instead of fabricating metrics
// for client-side restoration operators.
return self
.parent
.analyze_plan(&AnyQuery::Query(request), options)
.await;
}
let plan = self.create_plan(options).await?;
execute_plan(plan.clone(), Default::default())?
.try_collect::<Vec<_>>()
.await?;
return Ok(format_analyzed_plan(plan));
}
let query = AnyQuery::Query(self.request.clone());
self.parent.analyze_plan(&query, options).await
}
@@ -1670,6 +2287,7 @@ mod tests {
StringArray, cast::AsArray, types::Float32Type,
};
use arrow_schema::{DataType, Field as ArrowField, Schema as ArrowSchema};
use datafusion_physical_plan::display::DisplayableExecutionPlan;
use futures::{StreamExt, TryStreamExt};
use lance_testing::datagen::{BatchGenerator, IncrementingInt32, RandomVector};
use rand::seq::IndexedRandom;
@@ -2924,6 +3542,218 @@ mod tests {
assert_eq!(results[0].num_columns(), 1);
}
#[tokio::test]
async fn test_take_offsets_preserves_duplicate_multiplicity() {
let tmp_dir = tempdir().unwrap();
let table = make_test_table(&tmp_dir).await;
let results = table
.take_offsets(vec![5, 1, 5, 17])
.select(Select::Columns(vec!["id".to_string()]))
.execute_with_options(QueryExecutionOptions {
max_batch_length: 2,
..Default::default()
})
.await
.unwrap()
.try_collect::<Vec<_>>()
.await
.unwrap();
assert_eq!(results.len(), 2);
assert!(results.iter().all(|batch| batch.num_columns() == 1));
let mut ids = results
.iter()
.flat_map(|batch| {
batch
.column_by_name("id")
.unwrap()
.as_primitive::<Int32Type>()
.values()
.to_vec()
})
.collect::<Vec<_>>();
ids.sort_unstable();
assert_eq!(ids, vec![1, 5, 5, 17]);
}
#[tokio::test]
async fn test_take_offsets_plan_is_incremental() {
let tmp_dir = tempdir().unwrap();
let table = make_test_table(&tmp_dir).await;
let plan = table
.take_offsets(vec![5, 1, 17])
.create_plan(QueryExecutionOptions {
max_batch_length: 1,
..Default::default()
})
.await
.unwrap();
assert_eq!(plan.properties().emission_type, EmissionType::Incremental);
let displayed = DisplayableExecutionPlan::new(plan.as_ref())
.indent(false)
.to_string();
assert!(displayed.contains("TakeRestoreExec"));
assert!(!displayed.contains("CoalescePartitionsExec"));
}
#[tokio::test]
async fn test_take_into_request_preserves_duplicate_multiplicity() {
let tmp_dir = tempdir().unwrap();
let table = make_test_table(&tmp_dir).await;
let request = table.take_offsets(vec![5, 5]).into_request();
assert_eq!(request.take_offsets, Some(vec![5, 5]));
let batches = table
.base_table()
.query(&AnyQuery::Query(request), QueryExecutionOptions::default())
.await
.unwrap()
.try_collect::<Vec<_>>()
.await
.unwrap();
assert_eq!(batches.iter().map(RecordBatch::num_rows).sum::<usize>(), 2);
}
#[test]
fn test_restore_take_batch_only_reorders_when_requested() {
let batch = RecordBatch::try_from_iter([
(
"id",
Arc::new(Int32Array::from(vec![17, 5, 1])) as Arc<dyn Array>,
),
(
"_rowoffset",
Arc::new(UInt64Array::from(vec![17, 5, 1])) as Arc<dyn Array>,
),
])
.unwrap();
let restored =
restore_take_batch(batch.clone(), &[5, 1, 5, 17], "_rowoffset", true, false).unwrap();
assert_eq!(
restored
.column_by_name("id")
.unwrap()
.as_primitive::<Int32Type>()
.values(),
&[17, 5, 5, 1]
);
let ordered = restore_take_batch(batch, &[5, 1, 5, 17], "_rowoffset", true, true).unwrap();
assert_eq!(
ordered
.column_by_name("id")
.unwrap()
.as_primitive::<Int32Type>()
.values(),
&[5, 1, 5, 17]
);
}
#[tokio::test]
async fn test_take_offsets_applies_pagination_after_restoration() {
let tmp_dir = tempdir().unwrap();
let table = make_test_table(&tmp_dir).await;
let limited = table
.take_offsets(vec![0, 1, 0, 2])
.select(Select::Columns(vec!["id".to_string()]))
.limit(3)
.execute()
.await
.unwrap()
.try_collect::<Vec<_>>()
.await
.unwrap();
let limited = concat_batches(&limited[0].schema(), &limited).unwrap();
assert_eq!(limited.num_rows(), 3);
assert!(
limited
.column_by_name("id")
.unwrap()
.as_primitive::<Int32Type>()
.values()
.iter()
.all(|id| [0, 1, 2].contains(id))
);
let offset = table
.take_offsets(vec![5, 1, 5, 17])
.select(Select::Columns(vec!["id".to_string()]))
.offset(1)
.execute()
.await
.unwrap()
.try_collect::<Vec<_>>()
.await
.unwrap();
let offset = concat_batches(&offset[0].schema(), &offset).unwrap();
assert_eq!(offset.num_rows(), 3);
assert!(
offset
.column_by_name("id")
.unwrap()
.as_primitive::<Int32Type>()
.values()
.iter()
.all(|id| [1, 5, 17].contains(id))
);
}
#[tokio::test]
async fn test_take_offsets_create_plan_restores_occurrences() {
let tmp_dir = tempdir().unwrap();
let table = make_test_table(&tmp_dir).await;
let take = table
.take_offsets(vec![5, 1, 5, 17])
.select(Select::Columns(vec!["id".to_string()]));
let plan = take
.create_plan(QueryExecutionOptions::default())
.await
.unwrap();
assert_eq!(plan.schema().fields().len(), 1);
assert_eq!(plan.schema().field(0).name(), "id");
let planned = execute_plan(plan, Default::default())
.unwrap()
.try_collect::<Vec<_>>()
.await
.unwrap();
let planned = concat_batches(&planned[0].schema(), &planned).unwrap();
let mut ids = planned
.column_by_name("id")
.unwrap()
.as_primitive::<Int32Type>()
.values()
.to_vec();
ids.sort_unstable();
assert_eq!(ids, vec![1, 5, 5, 17]);
}
#[tokio::test]
async fn test_take_offsets_plan_introspection_shows_restoration() {
let tmp_dir = tempdir().unwrap();
let table = make_test_table(&tmp_dir).await;
let take = table
.take_offsets(vec![0, 1, 0, 2])
.select(Select::Columns(vec!["id".to_string()]))
.limit(3);
let explained = take.explain_plan(false).await.unwrap();
assert!(explained.contains("GlobalLimitExec"));
assert!(explained.contains("TakeRestoreExec"));
assert!(!explained.contains("CoalescePartitionsExec"));
let analyzed = take.analyze_plan().await.unwrap();
assert!(analyzed.contains("GlobalLimitExec"));
assert!(analyzed.contains("TakeRestoreExec"));
assert!(!analyzed.contains("CoalescePartitionsExec"));
}
#[tokio::test]
async fn test_take_row_ids() {
let tmp_dir = tempdir().unwrap();
+1
View File
@@ -11,6 +11,7 @@ pub(crate) mod db;
pub(crate) mod job;
pub mod oauth;
mod retry;
pub(crate) mod sql;
pub(crate) mod table;
pub(crate) mod util;
+596 -88
View File
@@ -1,7 +1,7 @@
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
use std::collections::HashMap;
use std::collections::{HashMap, HashSet};
use std::sync::Arc;
use async_trait::async_trait;
@@ -20,19 +20,20 @@ use lance_namespace::models::{
use crate::Error;
use crate::database::{
CloneTableRequest, CreateTableMode, CreateTableRequest, Database, DatabaseOptions,
JobDescription, JobInfo, OpenTableRequest, ReadConsistency, TableNamesRequest,
CloneTableRequest, CreateTableMode, CreateTableRequest, Database, DatabaseOptions, JobInfo,
OpenTableRequest, ReadConsistency, SecretInfo, TableNamesRequest,
};
use crate::error::Result;
use crate::function::{FunctionRegistrationRequest, FunctionVersion};
use crate::job::Job;
use crate::remote::job::{DescribeJobResponse, RemoteJob, job_state_to_client};
use crate::remote::job::{RemoteJob, job_state_to_client};
use crate::remote::util::stream_as_body;
use crate::table::BaseTable;
use super::client::{
ClientConfig, HeaderProvider, HttpSend, RequestResultExt, RestfulLanceDbClient, Sender,
};
use super::sql::SqlClient;
use super::table::RemoteTable;
use super::util::parse_server_version;
use super::{ARROW_STREAM_CONTENT_TYPE, extract_job_id};
@@ -97,6 +98,7 @@ pub const OPT_REMOTE_PREFIX: &str = "remote_database_";
pub const OPT_REMOTE_API_KEY: &str = "remote_database_api_key";
pub const OPT_REMOTE_REGION: &str = "remote_database_region";
pub const OPT_REMOTE_HOST_OVERRIDE: &str = "remote_database_host_override";
pub const OPT_REMOTE_SQL_HOST_OVERRIDE: &str = "remote_database_sql_host_override";
// TODO: add support for configuring client config via key/value options
#[derive(Clone, Debug, Default)]
@@ -212,6 +214,7 @@ pub struct RemoteDatabase<S: HttpSend = Sender> {
namespace_context_provider: Option<Arc<dyn DynamicContextProvider>>,
/// TLS configuration for mTLS support
tls_config: Option<super::client::TlsConfig>,
sql_client: Option<SqlClient>,
}
#[derive(Clone)]
@@ -269,22 +272,51 @@ impl DynamicContextProvider for NamespaceHeaderProviderContext {
}
}
pub struct RemoteHostOverrides {
pub rest: Option<String>,
pub sql: Option<String>,
}
/// Attach a namespace path to a Secret request body.
///
/// A root path is omitted rather than sent empty, so a root request is byte
/// identical to one from a client that predates namespace addressing.
fn add_namespace_path(body: &mut serde_json::Value, namespace_path: &[String]) {
if namespace_path.is_empty() {
return;
}
body["namespace_path"] = serde_json::Value::Array(
namespace_path
.iter()
.map(|segment| serde_json::Value::String(segment.clone()))
.collect(),
);
}
impl RemoteDatabase {
pub fn try_new(
pub(crate) fn try_new(
uri: &str,
api_key: &str,
region: &str,
host_override: Option<String>,
host_overrides: RemoteHostOverrides,
client_config: ClientConfig,
options: RemoteOptions,
read_consistency_interval: Option<std::time::Duration>,
) -> Result<Self> {
let parsed = super::client::parse_db_url(uri)?;
let sql_client = SqlClient::new(
parsed.db_name.clone(),
parsed.db_prefix.clone(),
api_key.to_string(),
host_overrides.rest.clone(),
host_overrides.sql,
client_config.clone(),
);
let header_map = RestfulLanceDbClient::<Sender>::default_headers(
api_key,
region,
&parsed.db_name,
host_override.is_some(),
host_overrides.rest.is_some(),
&options,
parsed.db_prefix.as_deref(),
&client_config,
@@ -312,7 +344,7 @@ impl RemoteDatabase {
let client = RestfulLanceDbClient::try_new(
&parsed,
region,
host_override,
host_overrides.rest,
header_map,
client_config.clone(),
read_consistency_interval,
@@ -330,11 +362,34 @@ impl RemoteDatabase {
namespace_headers,
namespace_context_provider,
tls_config: client_config.tls_config,
sql_client: Some(sql_client),
})
}
}
impl<S: HttpSend> RemoteDatabase<S> {
/// `create` and `alter` differ only in which name state the server
/// requires, so they share one request shape. The value is a request field
/// and never a path segment or query parameter, which keeps it out of
/// access logs and proxy traces.
async fn write_secret(
&self,
route: &str,
name: &str,
value: &str,
namespace_path: &[String],
) -> Result<()> {
let mut body = serde_json::json!({
"name": name,
"value": value,
});
add_namespace_path(&mut body, namespace_path);
let req = self.client.post(route).json(&body);
let (request_id, response) = self.client.send(req).await?;
self.client.check_response(&request_id, response).await?;
Ok(())
}
async fn submit_drop_table(
&self,
name: &str,
@@ -427,6 +482,7 @@ mod test_utils {
namespace_headers: HashMap::new(),
namespace_context_provider: None,
tls_config: None,
sql_client: None,
}
}
@@ -449,6 +505,7 @@ mod test_utils {
namespace_headers: config.extra_headers.clone(),
namespace_context_provider,
tls_config: config.tls_config.clone(),
sql_client: None,
}
}
}
@@ -533,6 +590,39 @@ struct RemoteListJobsResponse {
page_token: Option<String>,
}
#[derive(serde::Deserialize)]
struct RemoteListedFunctionVersion {
definition: FunctionVersion,
}
#[derive(serde::Deserialize)]
struct RemoteListFunctionsResponse {
#[serde(default)]
functions: Vec<RemoteListedFunctionVersion>,
#[serde(default)]
page_token: Option<String>,
}
#[derive(serde::Deserialize)]
struct RemoteDropFunctionResponse {
dropped: bool,
}
#[derive(serde::Deserialize)]
struct RemoteListSecretsResponse {
#[serde(default)]
secrets: Vec<RemoteListedSecret>,
#[serde(default)]
page_token: Option<String>,
}
/// An object rather than a bare name so a later listing can carry a Secret's
/// type or last-updated time without breaking this one.
#[derive(serde::Deserialize)]
struct RemoteListedSecret {
name: String,
}
/// Bound on `list_jobs` page walking; a warning is logged when the listing
/// is truncated at this many pages.
const MAX_LIST_JOBS_PAGES: usize = 100;
@@ -583,11 +673,135 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
response.json().await.err_to_http(request_id)
}
fn job(&self, job_id: &str) -> Result<crate::job::Job> {
Ok(crate::job::Job::new(Box::new(super::job::RemoteJob::new(
self.client.clone(),
job_id.to_string(),
))))
async fn list_functions(&self) -> Result<Vec<FunctionVersion>> {
let mut functions = Vec::new();
let mut page_token: Option<String> = None;
let mut seen_page_tokens = HashSet::new();
loop {
let mut body = serde_json::json!({ "include_definition": true });
if let Some(token) = &page_token {
body["page_token"] = serde_json::Value::String(token.clone());
}
let req = self.client.post("/v1/functions/list").json(&body);
let (request_id, response) = self.client.send(req).await?;
let response = self.client.check_response(&request_id, response).await?;
let status = response.status();
let response: RemoteListFunctionsResponse =
response.json().await.err_to_http(request_id.clone())?;
functions.extend(
response
.functions
.into_iter()
.map(|listed| listed.definition),
);
let Some(next_page_token) = response.page_token.filter(|token| !token.is_empty())
else {
break;
};
if !seen_page_tokens.insert(next_page_token.clone()) {
return Err(Error::Http {
source: "Function listing response repeated a page_token".into(),
request_id,
status_code: Some(status),
});
}
page_token = Some(next_page_token);
}
Ok(functions)
}
async fn drop_function(&self, name: &str, version: &str) -> Result<bool> {
let req = self
.client
.post("/v1/functions/drop")
.json(&serde_json::json!({
"name": name,
"version": version,
}));
let (request_id, response) = self.client.send(req).await?;
let response = self.client.check_response(&request_id, response).await?;
let response: RemoteDropFunctionResponse = response.json().await.err_to_http(request_id)?;
Ok(response.dropped)
}
async fn create_secret(
&self,
name: &str,
value: &str,
namespace_path: &[String],
) -> Result<()> {
self.write_secret("/v1/secrets/create", name, value, namespace_path)
.await
}
async fn alter_secret(&self, name: &str, value: &str, namespace_path: &[String]) -> Result<()> {
self.write_secret("/v1/secrets/alter", name, value, namespace_path)
.await
}
async fn list_secrets(&self, namespace_path: &[String]) -> Result<Vec<String>> {
let mut names = Vec::new();
let mut page_token: Option<String> = None;
let mut seen_page_tokens = HashSet::new();
loop {
let mut body = serde_json::json!({});
if let Some(token) = &page_token {
body["page_token"] = serde_json::Value::String(token.clone());
}
add_namespace_path(&mut body, namespace_path);
let req = self.client.post("/v1/secrets/list").json(&body);
let (request_id, response) = self.client.send(req).await?;
let response = self.client.check_response(&request_id, response).await?;
let status = response.status();
let response: RemoteListSecretsResponse =
response.json().await.err_to_http(request_id.clone())?;
names.extend(response.secrets.into_iter().map(|secret| secret.name));
let Some(next_page_token) = response.page_token.filter(|token| !token.is_empty())
else {
break;
};
if !seen_page_tokens.insert(next_page_token.clone()) {
return Err(Error::Http {
source: "Secret listing response repeated a page_token".into(),
request_id,
status_code: Some(status),
});
}
page_token = Some(next_page_token);
}
Ok(names)
}
async fn drop_secret(&self, name: &str, namespace_path: &[String]) -> Result<()> {
let mut body = serde_json::json!({ "name": name });
add_namespace_path(&mut body, namespace_path);
let req = self.client.post("/v1/secrets/drop").json(&body);
let (request_id, response) = self.client.send(req).await?;
self.client.check_response(&request_id, response).await?;
Ok(())
}
async fn describe_secret(&self, name: &str, namespace_path: &[String]) -> Result<SecretInfo> {
let mut body = serde_json::json!({ "name": name });
add_namespace_path(&mut body, namespace_path);
let req = self.client.post("/v1/secrets/describe").json(&body);
let (request_id, response) = self.client.send(req).await?;
let response = self.client.check_response(&request_id, response).await?;
response.json().await.err_to_http(request_id)
}
async fn open_job(&self, job_id: &str) -> Result<Job> {
let handle = super::job::RemoteJob::new(self.client.clone(), job_id.to_string());
match crate::job::JobHandle::describe(&handle).await {
Ok(description) => Ok(Job::opened(Box::new(handle), description)),
Err(Error::Http {
status_code: Some(StatusCode::NOT_FOUND),
..
}) => Err(Error::JobNotFound {
job_id: job_id.to_string(),
}),
Err(err) => Err(err),
}
}
async fn list_jobs(&self) -> Result<Vec<JobInfo>> {
@@ -624,31 +838,6 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
Ok(out)
}
async fn get_job(&self, job_id: &str) -> Result<Option<JobDescription>> {
let req = self
.client
.post("/v1/jobs/describe")
.json(&serde_json::json!({ "job_id": job_id }));
let (request_id, rsp) = self.client.send(req).await?;
let rsp = match self.client.check_response(&request_id, rsp).await {
Ok(rsp) => rsp,
Err(Error::Http {
status_code: Some(StatusCode::NOT_FOUND),
..
}) => return Ok(None),
Err(err) => return Err(err),
};
let body: DescribeJobResponse = rsp.json().await.err_to_http(request_id)?;
Ok(Some(JobDescription {
job_id: body.job_id,
job_type: body.job_type,
state: job_state_to_client(&body.job_state),
creation_ms: body.creation_ms,
spec: body.spec,
failure: body.failure.map(|reported| reported.into_job_failure()),
}))
}
async fn cancel_job(&self, job_id: &str) -> Result<bool> {
let req = self
.client
@@ -665,19 +854,28 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
}
}
async fn job_history(&self, job_id: Option<&str>) -> Result<Vec<arrow_array::RecordBatch>> {
let mut body = serde_json::json!({});
if let Some(job_id) = job_id {
body["job_id"] = serde_json::Value::String(job_id.to_string());
}
let req = self.client.post("/v1/jobs/query_events").json(&body);
let (request_id, rsp) = self.client.send(req).await?;
let rsp = self.client.check_response(&request_id, rsp).await?;
let bytes = rsp.bytes().await.err_to_http(request_id)?;
let reader = arrow_ipc::reader::StreamReader::try_new(std::io::Cursor::new(bytes), None)?;
reader
.collect::<std::result::Result<Vec<_>, _>>()
.map_err(Into::into)
async fn execute_query_async(
&self,
query: &str,
default_namespace_path: &[String],
) -> Result<crate::sql::Query> {
let client = self
.sql_client
.as_ref()
.ok_or_else(|| Error::NotSupported {
message: "SQL is unavailable for this remote database client".to_string(),
})?;
client.submit(query, default_namespace_path).await
}
async fn describe_query(&self, query_id: uuid::Uuid) -> Result<crate::sql::QueryDescription> {
let client = self
.sql_client
.as_ref()
.ok_or_else(|| Error::NotSupported {
message: "SQL is unavailable for this remote database client".to_string(),
})?;
client.describe(query_id).await
}
async fn table_names(&self, request: TableNamesRequest) -> Result<Vec<String>> {
@@ -1195,6 +1393,7 @@ mod tests {
use crate::{
Connection, Error,
database::CreateTableMode,
job::JobEventsRequest,
remote::{ARROW_STREAM_CONTENT_TYPE, ClientConfig, HeaderProvider, JSON_CONTENT_TYPE},
};
@@ -2543,7 +2742,7 @@ mod tests {
}
#[tokio::test]
async fn test_get_job() {
async fn test_open_job() {
let conn = Connection::new_with_handler(|request| {
assert_eq!(request.method(), &reqwest::Method::POST);
assert_eq!(request.url().path(), "/v1/jobs/describe");
@@ -2557,51 +2756,55 @@ mod tests {
)
.unwrap()
});
let job = conn.get_job("job-1").await.unwrap().unwrap();
assert_eq!(job.job_id, "job-1");
assert_eq!(job.job_type, "create_index");
assert_eq!(job.state, "failed");
assert_eq!(job.creation_ms, 1000);
assert_eq!(job.spec["column"], "vec");
let failure = job.failure.unwrap();
// Opening populates the handle, so the accessors answer without a
// second round trip.
let job = conn.open_job("job-1").await.unwrap();
assert_eq!(job.id(), Some("job-1"));
assert_eq!(job.job_type().as_deref(), Some("create_index"));
assert_eq!(job.state().as_deref(), Some("failed"));
assert_eq!(job.creation_ms(), Some(1000));
assert_eq!(job.spec().unwrap()["column"], "vec");
assert!(job.result().is_none());
let failure = job.failure().unwrap();
assert_eq!(failure.phase.as_deref(), Some("execute"));
assert_eq!(failure.message.as_deref(), Some("worker died"));
assert_eq!(failure.retryable, Some(true));
}
#[tokio::test]
async fn test_get_job_missing_is_none() {
async fn test_open_job_reports_the_terminal_result() {
let conn = Connection::new_with_handler(|_| {
http::Response::builder()
.status(404)
.body("no such job")
.unwrap()
});
assert!(conn.get_job("nope").await.unwrap().is_none());
}
#[tokio::test]
async fn test_cancel_job() {
let conn = Connection::new_with_handler(|request| {
assert_eq!(request.url().path(), "/v1/jobs/cancel");
http::Response::builder()
.status(200)
.body(r#"{"job_id": "job-1"}"#)
.body(
r#"{"job_id": "job-1", "job_type": "refresh_column", "job_state": "DONE", "creation_ms": 1000, "result": {"rows_assigned": 1000000, "rows_failed": 0}}"#,
)
.unwrap()
});
assert!(conn.cancel_job("job-1").await.unwrap());
let job = conn.open_job("job-1").await.unwrap();
assert_eq!(job.state().as_deref(), Some("finished"));
let result = job.result().unwrap();
assert_eq!(result["rows_assigned"], 1_000_000);
assert_eq!(result["rows_failed"], 0);
}
#[tokio::test]
async fn test_open_job_missing_fails() {
let conn = Connection::new_with_handler(|_| {
http::Response::builder()
.status(404)
.body("no such job")
.unwrap()
});
assert!(!conn.cancel_job("nope").await.unwrap());
let err = conn.open_job("nope").await.unwrap_err();
assert!(
matches!(&err, Error::JobNotFound { job_id } if job_id == "nope"),
"{err:?}"
);
}
#[tokio::test]
async fn test_job_history_parses_arrow_stream() {
async fn test_job_events_scope_to_that_job() {
let schema = Arc::new(Schema::new(vec![Field::new(
"state",
DataType::Utf8,
@@ -2610,29 +2813,198 @@ mod tests {
let batch = RecordBatch::try_new(
schema.clone(),
vec![Arc::new(arrow_array::StringArray::from(vec![
"created", "done",
"claim_complete",
]))],
)
.unwrap();
let mut body = Vec::new();
let mut events = Vec::new();
{
let mut writer = arrow_ipc::writer::StreamWriter::try_new(&mut body, &schema).unwrap();
let mut writer =
arrow_ipc::writer::StreamWriter::try_new(&mut events, &schema).unwrap();
writer.write(&batch).unwrap();
writer.finish().unwrap();
}
let conn = Connection::new_with_handler(move |request| {
assert_eq!(request.url().path(), "/v1/jobs/query_events");
let req_body: serde_json::Value =
let body: serde_json::Value =
serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap();
assert_eq!(req_body["job_id"], "job-1");
if request.url().path() == "/v1/jobs/describe" {
return http::Response::builder()
.status(200)
.body(
r#"{"job_id": "job-1", "job_type": "refresh_column", "job_state": "IN_PROGRESS", "creation_ms": 1}"#
.as_bytes()
.to_vec(),
)
.unwrap();
}
assert_eq!(request.url().path(), "/v1/jobs/query_events");
// The handle supplies job_id; the caller only narrows the query.
assert_eq!(body["job_id"], "job-1");
assert_eq!(body["limit"], 500);
assert_eq!(body["filter"], "state = 'claim_complete'");
http::Response::builder()
.status(200)
.body(body.clone())
.body(events.clone())
.unwrap()
});
let batches = conn.job_history(Some("job-1")).await.unwrap();
let job = conn.open_job("job-1").await.unwrap();
let batches = job
.events(
JobEventsRequest::default()
.limit(500)
.filter("state = 'claim_complete'"),
)
.await
.unwrap();
assert_eq!(batches.len(), 1);
assert_eq!(batches[0].num_rows(), 2);
assert_eq!(batches[0].num_rows(), 1);
}
#[tokio::test]
async fn test_job_events_keep_the_schema_when_nothing_matches() {
let schema = Arc::new(Schema::new(vec![Field::new(
"state",
DataType::Utf8,
false,
)]));
let mut events = Vec::new();
{
let mut writer =
arrow_ipc::writer::StreamWriter::try_new(&mut events, &schema).unwrap();
writer.finish().unwrap();
}
let conn = Connection::new_with_handler(move |request| {
if request.url().path() == "/v1/jobs/describe" {
return http::Response::builder()
.status(200)
.body(
r#"{"job_id": "job-1", "job_type": "refresh_column", "job_state": "IN_PROGRESS", "creation_ms": 1}"#
.as_bytes()
.to_vec(),
)
.unwrap();
}
let body: serde_json::Value =
serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap();
// Only the job id when the caller narrows nothing.
assert_eq!(body, serde_json::json!({ "job_id": "job-1" }));
http::Response::builder()
.status(200)
.body(events.clone())
.unwrap()
});
let job = conn.open_job("job-1").await.unwrap();
let batches = job.events(JobEventsRequest::default()).await.unwrap();
assert_eq!(batches.len(), 1);
assert_eq!(batches[0].num_rows(), 0);
assert_eq!(batches[0].schema(), schema);
}
#[tokio::test]
async fn test_create_and_alter_secret_send_the_value_in_the_request_body() {
for (route, call) in [("/v1/secrets/create", true), ("/v1/secrets/alter", false)] {
let conn = Connection::new_with_handler(move |request| {
assert_eq!(request.method(), &reqwest::Method::POST);
assert_eq!(request.url().path(), route);
// Never a path segment or query parameter, which is what keeps
// it out of access logs and proxy traces.
assert!(request.url().query().is_none(), "{:?}", request.url());
let body: serde_json::Value =
serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap();
assert_eq!(body["name"], "openai-prod");
assert_eq!(body["value"], "sk-live-0001");
http::Response::builder().status(200).body("{}").unwrap()
});
if call {
conn.create_secret("openai-prod", "sk-live-0001", &[])
.await
.unwrap();
} else {
conn.alter_secret("openai-prod", "sk-live-0001", &[])
.await
.unwrap();
}
}
}
#[tokio::test]
async fn test_list_secrets_walks_pages_and_returns_names_only() {
let conn = Connection::new_with_handler(|request| {
assert_eq!(request.url().path(), "/v1/secrets/list");
let body: serde_json::Value =
serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap();
let page = body.get("page_token").and_then(|token| token.as_str());
let body = match page {
None => r#"{"secrets":[{"name":"openai-prod"}],"page_token":"p2"}"#,
Some("p2") => r#"{"secrets":[{"name":"hf-prod"}]}"#,
Some(other) => panic!("unexpected page token: {other}"),
};
http::Response::builder().status(200).body(body).unwrap()
});
assert_eq!(
conn.list_secrets(&[]).await.unwrap(),
vec!["openai-prod".to_string(), "hf-prod".to_string()]
);
}
/// A server that keeps handing back the same token would otherwise spin
/// forever.
#[tokio::test]
async fn test_list_secrets_rejects_a_repeated_page_token() {
let conn = Connection::new_with_handler(|_| {
http::Response::builder()
.status(200)
.body(r#"{"secrets":[{"name":"openai-prod"}],"page_token":"same"}"#)
.unwrap()
});
let error = conn.list_secrets(&[]).await.unwrap_err();
assert!(
error.to_string().contains("repeated a page_token"),
"{error}"
);
}
#[tokio::test]
async fn test_drop_secret_posts_the_name_alone() {
let conn = Connection::new_with_handler(|request| {
assert_eq!(request.url().path(), "/v1/secrets/drop");
let body: serde_json::Value =
serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap();
assert_eq!(body, serde_json::json!({"name": "openai-prod"}));
http::Response::builder().status(200).body("{}").unwrap()
});
conn.drop_secret("openai-prod", &[]).await.unwrap();
}
/// A namespace path is sent when there is one and omitted when there is
/// not, so a root request stays byte identical to one from a client that
/// predates namespace addressing -- which is what lets the parameter ship
/// before every server implements it.
#[tokio::test]
async fn test_a_namespace_path_is_sent_only_when_it_is_not_root() {
let conn = Connection::new_with_handler(|request| {
let body: serde_json::Value =
serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap();
assert_eq!(
body,
serde_json::json!({
"name": "openai-prod",
"namespace_path": ["prod", "vision"],
})
);
http::Response::builder().status(200).body("{}").unwrap()
});
conn.drop_secret("openai-prod", &["prod".to_string(), "vision".to_string()])
.await
.unwrap();
let conn = Connection::new_with_handler(|request| {
let body: serde_json::Value =
serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap();
assert!(body.get("namespace_path").is_none(), "{body}");
http::Response::builder().status(200).body("{}").unwrap()
});
conn.drop_secret("openai-prod", &[]).await.unwrap();
}
#[tokio::test]
@@ -2689,13 +3061,147 @@ mod tests {
assert_eq!(version.version(), "fv_01K3EXACT");
}
#[tokio::test]
async fn test_list_functions_requests_definitions_and_paginates() {
const VERSION: &str = include_str!(
"../../tests/fixtures/first_class_functions/v1/remote_function_version.canonical.json"
);
let version: serde_json::Value = serde_json::from_str(VERSION).unwrap();
let page = Arc::new(AtomicUsize::new(0));
let conn = Connection::new_with_handler(move |request| {
assert_eq!(request.method(), &reqwest::Method::POST);
assert_eq!(request.url().path(), "/v1/functions/list");
let body: serde_json::Value =
serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap();
assert_eq!(body["include_definition"], true);
match page.fetch_add(1, Ordering::SeqCst) {
0 => {
assert!(body.get("page_token").is_none());
http::Response::builder()
.status(200)
.body(r#"{"functions": [], "page_token": "next"}"#.to_string())
.unwrap()
}
_ => {
assert_eq!(body["page_token"], "next");
http::Response::builder()
.status(200)
.body(
serde_json::json!({
"functions": [{
"name": "embed",
"version": "fv_01K3EXACT",
"definition": version.clone(),
}],
})
.to_string(),
)
.unwrap()
}
}
});
let functions = conn.list_functions().await.unwrap();
assert_eq!(functions.len(), 1);
assert_eq!(functions[0].name(), "embed");
assert_eq!(functions[0].version(), "fv_01K3EXACT");
}
#[tokio::test]
async fn test_list_functions_stops_on_an_empty_page_token() {
let requests = Arc::new(AtomicUsize::new(0));
let seen = requests.clone();
let conn = Connection::new_with_handler(move |request| {
seen.fetch_add(1, Ordering::SeqCst);
let body: serde_json::Value =
serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap();
assert!(body.get("page_token").is_none());
http::Response::builder()
.status(200)
.body(r#"{"functions": [], "page_token": ""}"#)
.unwrap()
});
let functions = conn.list_functions().await.unwrap();
assert!(functions.is_empty());
assert_eq!(requests.load(Ordering::SeqCst), 1);
}
#[tokio::test]
async fn test_list_functions_rejects_a_page_token_cycle() {
let page = Arc::new(AtomicUsize::new(0));
let requests = page.clone();
let conn = Connection::new_with_handler(move |request| {
let body: serde_json::Value =
serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap();
let next_page_token = match page.fetch_add(1, Ordering::SeqCst) {
0 => {
assert!(body.get("page_token").is_none());
"one"
}
1 => {
assert_eq!(body["page_token"], "one");
"two"
}
2 => {
assert_eq!(body["page_token"], "two");
"one"
}
page => panic!("unexpected page: {page}"),
};
http::Response::builder()
.status(200)
.body(
serde_json::json!({
"functions": [],
"page_token": next_page_token,
})
.to_string(),
)
.unwrap()
});
let error = conn.list_functions().await.unwrap_err();
assert!(
matches!(
&error,
Error::Http {
status_code: Some(http::StatusCode::OK),
..
}
),
"got {error:?}"
);
assert_eq!(requests.load(Ordering::SeqCst), 3);
}
#[tokio::test]
async fn test_drop_function_sends_exact_version_and_decodes_replay() {
let conn = Connection::new_with_handler(|request| {
assert_eq!(request.method(), &reqwest::Method::POST);
assert_eq!(request.url().path(), "/v1/functions/drop");
let body: serde_json::Value =
serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap();
assert_eq!(
body,
serde_json::json!({"name": "embed", "version": "fv_01K3EXACT"})
);
http::Response::builder()
.status(200)
.body(r#"{"dropped":false}"#)
.unwrap()
});
assert!(!conn.drop_function("embed", "fv_01K3EXACT").await.unwrap());
}
#[tokio::test]
async fn test_conn_job_waits_to_done() {
let polls = Arc::new(AtomicUsize::new(0));
let polls_ref = polls.clone();
let conn = Connection::new_with_handler(move |request| {
assert_eq!(request.url().path(), "/v1/jobs/describe");
let state = if polls_ref.fetch_add(1, Ordering::SeqCst) == 0 {
// Two in-progress answers: one for the load, one for the first
// status poll.
let state = if polls_ref.fetch_add(1, Ordering::SeqCst) < 2 {
"IN_PROGRESS"
} else {
"DONE"
@@ -2708,11 +3214,13 @@ mod tests {
))
.unwrap()
});
let job = conn.job("job-1").unwrap();
let job = conn.open_job("job-1").await.unwrap();
assert_eq!(job.id(), Some("job-1"));
// Opening already answered the state; no extra call needed for it.
assert_eq!(job.state().as_deref(), Some("running"));
assert_eq!(job.status().await.unwrap(), "running");
job.wait().await.unwrap();
assert_eq!(job.status().await.unwrap(), "finished");
assert!(polls.load(Ordering::SeqCst) >= 3);
assert!(polls.load(Ordering::SeqCst) >= 4);
}
}
+55 -5
View File
@@ -5,13 +5,15 @@
use std::time::Duration;
use arrow_array::RecordBatch;
use async_trait::async_trait;
use tokio::time::sleep;
use serde::Deserialize;
use crate::database::JobDescription;
use crate::error::{Error, JobFailure, Result};
use crate::job::{JobHandle, TerminalResult};
use crate::job::{JobEventsRequest, JobHandle, TerminalResult};
use crate::remote::client::{HttpSend, RequestResultExt, RestfulLanceDbClient};
/// Delay before the second job-state poll; doubles up to [`MAX_POLL_INTERVAL`].
@@ -86,7 +88,7 @@ pub(super) struct DescribeJobResponse {
#[serde(default)]
pub(super) spec: serde_json::Value,
#[serde(default)]
result: Option<serde_json::Value>,
pub(super) result: Option<serde_json::Value>,
#[serde(default)]
pub(super) failure: Option<ReportedFailure>,
}
@@ -110,6 +112,39 @@ impl DescribeJobResponse {
fn into_terminal_result(self, request_id: String) -> TerminalResult {
TerminalResult::remote(self.result, request_id)
}
/// The public description this wire envelope stands for.
pub(super) fn into_description(self) -> JobDescription {
JobDescription {
job_id: self.job_id,
job_type: self.job_type,
state: JobState::from(self.job_state.as_str()).client_label(),
creation_ms: self.creation_ms,
spec: self.spec,
result: self.result,
failure: self.failure.map(ReportedFailure::into_job_failure),
}
}
}
/// One `/v1/jobs/query_events` round trip.
pub(super) async fn fetch_job_events<S: HttpSend>(
client: &RestfulLanceDbClient<S>,
body: serde_json::Value,
) -> Result<Vec<RecordBatch>> {
let request = client.post("/v1/jobs/query_events").json(&body);
let (request_id, response) = client.send(request).await?;
let response = client.check_response(&request_id, response).await?;
let bytes = response.bytes().await.err_to_http(request_id)?;
let reader = arrow_ipc::reader::StreamReader::try_new(std::io::Cursor::new(bytes), None)?;
let schema = reader.schema();
let mut batches = reader.collect::<std::result::Result<Vec<_>, _>>()?;
// A query that matched nothing still describes the event columns.
// Keep that schema so callers can build a typed empty result.
if batches.is_empty() {
batches.push(RecordBatch::new_empty(schema));
}
Ok(batches)
}
pub struct RemoteJob<S: HttpSend> {
@@ -123,7 +158,7 @@ impl<S: HttpSend> RemoteJob<S> {
}
/// One `/v1/jobs/describe` round trip.
async fn describe(&self) -> Result<(String, DescribeJobResponse)> {
async fn fetch_description(&self) -> Result<(String, DescribeJobResponse)> {
let request = self
.client
.post("/v1/jobs/describe")
@@ -148,13 +183,28 @@ impl<S: HttpSend> JobHandle for RemoteJob<S> {
}
async fn status(&self) -> Result<String> {
Ok(self.describe().await?.1.state().client_label())
Ok(self.fetch_description().await?.1.state().client_label())
}
async fn describe(&self) -> Result<JobDescription> {
Ok(self.fetch_description().await?.1.into_description())
}
async fn events(&self, request: JobEventsRequest) -> Result<Vec<RecordBatch>> {
let mut body = serde_json::json!({ "job_id": self.job_id });
if let Some(limit) = request.limit {
body["limit"] = serde_json::Value::from(limit);
}
if let Some(filter) = request.filter {
body["filter"] = serde_json::Value::String(filter);
}
fetch_job_events(&self.client, body).await
}
async fn wait(&self) -> Result<TerminalResult> {
let mut interval = INITIAL_POLL_INTERVAL;
loop {
let (request_id, description) = self.describe().await?;
let (request_id, description) = self.fetch_description().await?;
match description.state() {
JobState::Done => return Ok(description.into_terminal_result(request_id)),
JobState::Failed => {
+7 -5
View File
@@ -466,7 +466,9 @@ impl TokenSource for AzureImdsSource {
/// OAuth header provider that manages the full token lifecycle.
///
/// Implements [`HeaderProvider`] to inject `Authorization: Bearer <token>`
/// headers into every LanceDB request, with automatic token refresh.
/// headers into every LanceDB request, with automatic token refresh. It also
/// identifies the bearer credential as OIDC so LanceDB's SQL service selects
/// OIDC validation instead of API-key validation.
pub struct OAuthHeaderProvider {
token_source: Box<dyn TokenSource>,
token_state: Arc<RwLock<TokenState>>,
@@ -554,10 +556,10 @@ impl OAuthHeaderProvider {
impl HeaderProvider for OAuthHeaderProvider {
async fn get_headers(&self) -> Result<HashMap<String, String>> {
let token = self.get_valid_token().await?;
Ok(HashMap::from([(
"authorization".to_string(),
format!("Bearer {token}"),
)]))
Ok(HashMap::from([
("authorization".to_string(), format!("Bearer {token}")),
("x-lancedb-credential-type".to_string(), "oidc".to_string()),
]))
}
}
File diff suppressed because it is too large Load Diff
File diff suppressed because it is too large Load Diff
+370 -10
View File
@@ -40,8 +40,8 @@ use crate::table::{
use crate::table::{AnyQuery, Filter, Predicate, PreprocessingOutput, TableStatistics};
use crate::utils::background_cache::BackgroundCache;
use crate::utils::{
resolve_arrow_field_path, resolve_arrow_fts_field_path, supported_btree_data_type,
supported_vector_data_type,
MaxBatchLengthStream, TimeoutStream, resolve_arrow_field_path, resolve_arrow_fts_field_path,
supported_btree_data_type, supported_vector_data_type,
};
use crate::{DistanceType, Error};
use crate::{
@@ -72,7 +72,7 @@ use lance_datafusion::exec::{OneShotExec, execute_plan};
use reqwest::{RequestBuilder, Response};
use serde::{Deserialize, Serialize};
use serde_json::Number;
use std::collections::HashMap;
use std::collections::{HashMap, HashSet};
use std::io::Cursor;
use std::pin::Pin;
use std::sync::{Arc, Mutex};
@@ -264,6 +264,17 @@ impl<S: HttpSend> crate::job::JobHandle for FreshnessJob<S> {
crate::job::JobHandle::status(&self.inner).await
}
async fn describe(&self) -> Result<crate::database::JobDescription> {
crate::job::JobHandle::describe(&self.inner).await
}
async fn events(
&self,
request: crate::job::JobEventsRequest,
) -> Result<Vec<arrow_array::RecordBatch>> {
crate::job::JobHandle::events(&self.inner, request).await
}
async fn wait(&self) -> Result<crate::job::TerminalResult> {
let result = crate::job::JobHandle::wait(&self.inner).await?;
let version = self.version.read().await;
@@ -527,6 +538,10 @@ impl<S: HttpSend> RemoteTable<S> {
"column": canonical_column
});
if !index.replace {
body["replace"] = false.into();
}
// Add name parameter if provided (for backwards compatibility, only include if Some)
if let Some(ref name) = index.name {
body["name"] = serde_json::Value::String(name.clone());
@@ -2022,6 +2037,9 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
fn as_any(&self) -> &dyn std::any::Any {
self
}
fn analyze_plan_is_remote(&self) -> bool {
true
}
fn name(&self) -> &str {
&self.name
}
@@ -2594,6 +2612,13 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
query: &AnyQuery,
options: QueryExecutionOptions,
) -> Result<Arc<dyn ExecutionPlan>> {
if let AnyQuery::Query(request) = query
&& let Some(offsets) = &request.take_offsets
{
return crate::query::create_take_offsets_plan(self, request, offsets, options, false)
.await;
}
let streams = self.execute_query(query, &options).await?;
if streams.len() == 1 {
let stream = streams.into_iter().next().unwrap();
@@ -2612,6 +2637,27 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
query: &AnyQuery,
options: QueryExecutionOptions,
) -> Result<DatasetRecordBatchStream> {
if let AnyQuery::Query(request) = query
&& let Some(offsets) = &request.take_offsets
{
let plan = crate::query::create_take_offsets_plan(
self,
request,
offsets,
options.clone(),
false,
)
.await?;
let inner = execute_plan(plan, Default::default())?;
let inner = MaxBatchLengthStream::new_boxed(inner, options.max_batch_length as usize);
let inner = if let Some(timeout) = options.timeout {
TimeoutStream::new_boxed(inner, timeout)
} else {
inner
};
return Ok(DatasetRecordBatchStream::new(inner));
}
let streams = self.execute_query(query, &options).await?;
if streams.len() == 1 {
@@ -2649,6 +2695,12 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
}
async fn explain_plan(&self, query: &AnyQuery, verbose: bool) -> Result<String> {
if let AnyQuery::Query(request) = query
&& let Some(offsets) = &request.take_offsets
{
return crate::query::explain_take_offsets_plan(self, request, offsets, verbose).await;
}
let base_request = self
.client
.post(&format!("/v1/table/{}/explain_plan/", self.identifier));
@@ -2701,6 +2753,17 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
query: &AnyQuery,
options: QueryExecutionOptions,
) -> Result<String> {
let prepared_query = if let AnyQuery::Query(request) = query
&& request.take_offsets.is_some()
{
Some(AnyQuery::Query(
crate::query::prepare_take_offsets_request(self, request).await?,
))
} else {
None
};
let query = prepared_query.as_ref().unwrap_or(query);
let mut request = self
.client
.post(&format!("/v1/table/{}/analyze_plan/", self.identifier));
@@ -3599,7 +3662,12 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
#[derive(Serialize, Clone, Debug)]
pub struct MergeInsertRequest {
on: String,
// Sent as one repeated `on` query parameter per column, which is how the
// namespace spec encodes an array-valued `on`. serde_urlencoded (which
// reqwest's `query()` uses) cannot serialize a sequence nested in a struct,
// so this field is emitted separately by [`Self::on_query_params`].
#[serde(skip_serializing)]
on: Vec<String>,
when_matched_update_all: bool,
when_matched_update_all_filt: Option<String>,
when_not_matched_insert_all: bool,
@@ -3615,6 +3683,17 @@ pub struct MergeInsertRequest {
use_lsm: Option<bool>,
}
impl MergeInsertRequest {
/// The `on` columns as repeated query parameters: `?on=a&on=b`.
///
/// A single column serializes to `?on=a`, exactly what clients sent before
/// `on` became a list, so a server that predates composite keys sees no
/// change from a single-column caller.
pub(crate) fn on_query_params(&self) -> Vec<(&str, &str)> {
self.on.iter().map(|col| ("on", col.as_str())).collect()
}
}
fn is_true(b: &bool) -> bool {
*b
}
@@ -3627,12 +3706,15 @@ impl TryFrom<MergeInsertBuilder> for MergeInsertRequest {
return Err(Error::InvalidInput {
message: "MergeInsertBuilder missing required 'on' field".into(),
});
} else if value.on.len() > 1 {
return Err(Error::NotSupported {
message: "MergeInsertBuilder only supports a single 'on' column".into(),
}
// The server rejects a repeated column with a 400; catching it here
// names the offending column and costs no round trip.
let mut seen = HashSet::with_capacity(value.on.len());
if let Some(dup) = value.on.iter().find(|col| !seen.insert(*col)) {
return Err(Error::InvalidInput {
message: format!("MergeInsertBuilder 'on' column '{dup}' is repeated"),
});
}
let on = value.on[0].clone();
let when_matched_update_all_filt = match value.when_matched_update_all_filt {
Some(MergeFilter::Sql(sql)) => Some(sql),
@@ -3656,7 +3738,7 @@ impl TryFrom<MergeInsertBuilder> for MergeInsertRequest {
};
Ok(Self {
on,
on: value.on,
when_matched_update_all: value.when_matched_update_all,
when_matched_update_all_filt,
when_not_matched_insert_all: value.when_not_matched_insert_all,
@@ -3690,7 +3772,7 @@ mod tests {
};
use arrow_schema::{DataType, Field, Schema};
use chrono::{DateTime, Utc};
use futures::{StreamExt, TryFutureExt, future::BoxFuture};
use futures::{StreamExt, TryFutureExt, TryStreamExt, future::BoxFuture};
use lance_index::scalar::inverted::{DocumentGranularity, query::MatchQuery};
use lance_index::scalar::{FullTextSearchQuery, InvertedIndexParams};
use reqwest::Body;
@@ -4500,6 +4582,76 @@ mod tests {
}
}
#[tokio::test]
async fn test_merge_insert_composite_key() {
let batch = RecordBatch::try_new(
Arc::new(Schema::new(vec![Field::new("a", DataType::Int32, false)])),
vec![Arc::new(Int32Array::from(vec![1, 2, 3]))],
)
.unwrap();
let data: Box<dyn RecordBatchReader + Send> = Box::new(RecordBatchIterator::new(
[Ok(batch.clone())],
batch.schema(),
));
let table = Table::new_with_handler("my_table", move |request| {
assert_eq!(request.url().path(), "/v1/table/my_table/merge_insert/");
// One repeated `on` per column, in the order the caller gave them.
let on = request
.url()
.query_pairs()
.filter(|(key, _)| key == "on")
.map(|(_, value)| value.into_owned())
.collect::<Vec<_>>();
assert_eq!(on, vec!["shard_key".to_string(), "id".to_string()]);
let params = request.url().query_pairs().collect::<HashMap<_, _>>();
assert_eq!(params["when_matched_update_all"], "true");
assert_eq!(params["when_not_matched_insert_all"], "true");
http::Response::builder()
.status(200)
.body(r#"{"version": 43, "num_deleted_rows": 0, "num_inserted_rows": 3, "num_updated_rows": 0}"#)
.unwrap()
});
let mut merge = table.merge_insert(&["shard_key", "id"]);
merge.when_matched_update_all(None);
merge.when_not_matched_insert_all();
let result = table.base_table().merge_insert(merge, data).await.unwrap();
assert_eq!(result.num_inserted_rows, 3);
}
#[tokio::test]
async fn test_merge_insert_rejects_repeated_on_column() {
let batch = RecordBatch::try_new(
Arc::new(Schema::new(vec![Field::new("a", DataType::Int32, false)])),
vec![Arc::new(Int32Array::from(vec![1]))],
)
.unwrap();
let data: Box<dyn RecordBatchReader + Send> = Box::new(RecordBatchIterator::new(
[Ok(batch.clone())],
batch.schema(),
));
let table = Table::new_with_handler::<&str>("my_table", |request| {
panic!("Unexpected request: {}", request.url());
});
let merge = table.merge_insert(&["id", "id"]);
let err = table
.base_table()
.merge_insert(merge, data)
.await
.unwrap_err();
assert!(
matches!(&err, Error::InvalidInput { message } if message.contains("'id' is repeated")),
"unexpected error: {err}"
);
}
#[tokio::test]
async fn test_merge_insert_retries_on_409() {
let batch = RecordBatch::try_new(
@@ -5611,6 +5763,114 @@ mod tests {
assert_eq!(result, "analyzed plan");
}
#[tokio::test]
async fn test_take_offsets_explain_plan_does_not_execute_query() {
let table = Table::new_with_handler("my_table", |request| {
assert_eq!(request.method(), "POST");
assert_eq!(request.url().path(), "/v1/table/my_table/explain_plan/");
http::Response::builder()
.status(200)
.body(r#""RemoteLookupExec""#)
.unwrap()
});
let explained = table
.take_offsets(vec![0, 1, 0, 2])
.select(crate::query::Select::columns(&["id"]))
.limit(3)
.explain_plan(false)
.await
.unwrap();
assert!(explained.contains("GlobalLimitExec"));
assert!(explained.contains("TakeRestoreExec"));
assert!(!explained.contains("CoalescePartitionsExec"));
assert!(explained.contains("RemoteLookupExec"));
}
#[tokio::test]
async fn test_converted_take_request_restores_remote_occurrences() {
let table = Table::new_with_handler("my_table", |request| {
assert_eq!(request.method(), "POST");
assert_eq!(request.url().path(), "/v1/table/my_table/query/");
let body: serde_json::Value =
serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap();
assert_eq!(body["columns"], json!(["id", "_rowoffset"]));
let data = RecordBatch::try_new(
Arc::new(Schema::new(vec![
Field::new("id", DataType::Int32, false),
Field::new("_rowoffset", DataType::UInt64, false),
])),
vec![
Arc::new(Int32Array::from(vec![5])),
Arc::new(arrow_array::UInt64Array::from(vec![5])),
],
)
.unwrap();
http::Response::builder()
.status(200)
.header(CONTENT_TYPE, ARROW_FILE_CONTENT_TYPE)
.body(write_ipc_file(&data))
.unwrap()
});
let request = table
.take_offsets(vec![5, 5])
.select(crate::query::Select::columns(&["id"]))
.into_request();
let batches = table
.base_table()
.query(&AnyQuery::Query(request), QueryExecutionOptions::default())
.await
.unwrap()
.try_collect::<Vec<_>>()
.await
.unwrap();
assert_eq!(batches.iter().map(RecordBatch::num_rows).sum::<usize>(), 2);
assert!(
batches
.iter()
.all(|batch| batch.schema().fields().len() == 1)
);
}
#[tokio::test]
async fn test_take_offsets_analyze_plan_delegates_to_remote() {
let table = Table::new_with_handler("my_table", |request| {
assert_eq!(request.method(), "POST");
assert_eq!(request.url().path(), "/v1/table/my_table/analyze_plan/");
assert_eq!(
request
.url()
.query_pairs()
.find(|(key, _)| key == "distributed_metrics"),
Some(("distributed_metrics".into(), "per_worker".into()))
);
http::Response::builder()
.status(200)
.body(r#""Remote analyzed plan: worker metrics""#)
.unwrap()
});
let analyzed = table
.take_offsets(vec![0, 1, 0, 2])
.select(crate::query::Select::columns(&["id"]))
.limit(3)
.analyze_plan_with_options(QueryExecutionOptions {
analyze_plan_distributed_metrics: AnalyzePlanDistributedMetrics::PerWorker,
..Default::default()
})
.await
.unwrap();
assert_eq!(analyzed, "Remote analyzed plan: worker metrics");
}
#[tokio::test]
async fn test_query_structured_fts() {
let table =
@@ -6077,6 +6337,40 @@ mod tests {
}
}
#[tokio::test]
async fn test_create_index_forwards_replace_false_on_existing_route() {
let table = Table::new_with_handler("my_table", move |request| {
assert_eq!(request.method(), "POST");
match request.url().path() {
"/v1/table/my_table/describe/" => {
let schema = Schema::new(vec![Field::new("a", DataType::Int32, false)]);
http::Response::builder()
.status(200)
.body(describe_response(&schema))
.unwrap()
}
"/v1/table/my_table/create_index/" => {
let body = request.body().unwrap().as_bytes().unwrap();
let body: serde_json::Value = serde_json::from_slice(body).unwrap();
assert_eq!(body["replace"], json!(false));
http::Response::builder()
.status(200)
.body("{}".to_string())
.unwrap()
}
path => panic!("Unexpected path: {}", path),
}
});
table
.create_index(&["a"], Index::BTree(Default::default()))
.replace(false)
.execute()
.await
.unwrap();
}
#[tokio::test]
async fn test_create_index_returns_job() {
let describe_calls = std::sync::Arc::new(std::sync::atomic::AtomicUsize::new(0));
@@ -7699,6 +7993,72 @@ mod tests {
);
}
/// The refresh handle is wrapped for read-freshness tracking, so it has to
/// forward the detail APIs too -- this is the job an operator is holding
/// when a backfill goes quiet.
#[tokio::test]
async fn test_refresh_job_handle_reports_detail_and_events() {
let schema = Arc::new(Schema::new(vec![Field::new(
"state",
DataType::Utf8,
false,
)]));
let batch = RecordBatch::try_new(
schema.clone(),
vec![Arc::new(arrow_array::StringArray::from(vec![
"claim_complete",
]))],
)
.unwrap();
let mut events = Vec::new();
{
let mut writer =
arrow_ipc::writer::StreamWriter::try_new(&mut events, &schema).unwrap();
writer.write(&batch).unwrap();
writer.finish().unwrap();
}
let table = Table::new_with_handler("my_table", move |request| {
match request.url().path() {
"/v1/table/my_table/backfill_column" => http::Response::builder()
.status(202)
.body(br#"{"job_id": "j-42"}"#.to_vec())
.unwrap(),
"/v1/jobs/describe" => http::Response::builder()
.status(200)
.body(
r#"{"job_id": "j-42", "job_type": "refresh_column", "job_state": "IN_PROGRESS", "creation_ms": 7, "spec": {"column": "doubled"}}"#
.as_bytes()
.to_vec(),
)
.unwrap(),
"/v1/jobs/query_events" => {
let body: serde_json::Value =
serde_json::from_slice(request.body().unwrap().as_bytes().unwrap())
.unwrap();
assert_eq!(body["job_id"], "j-42");
http::Response::builder()
.status(200)
.body(events.clone())
.unwrap()
}
other => panic!("unexpected path {other}"),
}
});
let job = table.refresh_column_async("doubled").await.unwrap();
job.refresh().await.unwrap();
assert_eq!(job.state().as_deref(), Some("running"));
assert_eq!(job.job_type().as_deref(), Some("refresh_column"));
assert_eq!(job.creation_ms(), Some(7));
assert_eq!(job.spec().unwrap()["column"], "doubled");
let batches = job
.events(crate::job::JobEventsRequest::default())
.await
.unwrap();
assert_eq!(batches.iter().map(|b| b.num_rows()).sum::<usize>(), 1);
}
#[tokio::test]
async fn test_refresh_submission_uses_add_columns_version_fence() {
let table = Table::new_with_handler("my_table", |request| match request.url().path() {
+2 -1
View File
@@ -734,6 +734,7 @@ impl<S: HttpSend + 'static> ExecutionPlan for RemoteWriteExec<S> {
WriteOp::MergeInsert { query, timeout } => {
let mut request = client
.post(&format!("/v1/table/{}/merge_insert/", identifier))
.query(&query.on_query_params())
.query(query)
.header(CONTENT_TYPE, ARROW_STREAM_CONTENT_TYPE);
if let Some(timeout) = timeout {
@@ -1489,7 +1490,7 @@ mod tests {
});
let query = MergeInsertRequest {
on: "id".to_string(),
on: vec!["id".to_string()],
when_matched_update_all: false,
when_matched_update_all_filt: None,
when_not_matched_insert_all: false,
+124
View File
@@ -0,0 +1,124 @@
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
//! Handles to SQL queries running on a remote database.
use std::{fmt, sync::Arc};
use async_trait::async_trait;
use chrono::{DateTime, Utc};
use uuid::Uuid;
use crate::{Result, arrow::SendableRecordBatchStream};
/// The externally visible lifecycle state of a submitted SQL query.
#[derive(Clone, Copy, Debug, PartialEq, Eq)]
pub enum QueryStatus {
/// The server is still executing the query.
Running,
/// The server has made the complete result available.
Finished,
/// The server accepted cancellation but has not confirmed it yet.
Cancelling,
/// The server confirmed cancellation.
Cancelled,
}
impl fmt::Display for QueryStatus {
fn fmt(&self, formatter: &mut fmt::Formatter<'_>) -> fmt::Result {
formatter.write_str(match self {
Self::Running => "running",
Self::Finished => "finished",
Self::Cancelling => "cancelling",
Self::Cancelled => "cancelled",
})
}
}
/// A point-in-time description of a submitted SQL query.
#[derive(Clone, Debug, PartialEq)]
pub struct QueryDescription {
/// The stable, connection-scoped identifier assigned when the query was submitted.
pub id: Uuid,
/// The server-visible lifecycle state.
pub status: QueryStatus,
/// Server-reported completion progress, when known. Values are in `[0.0, 1.0]`,
/// with `1.0` meaning complete.
pub progress: Option<f64>,
/// When the server may stop accepting this query's continuation token.
pub expires_at: Option<DateTime<Utc>>,
}
#[async_trait]
pub(crate) trait QueryHandle: Send + Sync {
fn id(&self) -> Uuid;
async fn describe(&self) -> Result<QueryDescription>;
async fn reader(&self) -> Result<SendableRecordBatchStream>;
async fn cancel(&self) -> Result<()>;
}
/// A handle to a submitted SQL query.
///
/// The handle can be inspected, opened as an Arrow reader, or cancelled.
/// Dropping it does not cancel the server-side query.
/// Identifier lookup is scoped to the connection that submitted the query and
/// is not a durable resume mechanism.
pub struct Query {
handle: Arc<dyn QueryHandle>,
}
impl std::fmt::Debug for Query {
fn fmt(&self, formatter: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
formatter
.debug_struct("Query")
.field("id", &self.id())
.finish()
}
}
impl Query {
#[cfg(feature = "remote")]
pub(crate) fn new(handle: Arc<dyn QueryHandle>) -> Self {
Self { handle }
}
/// Return the stable, connection-scoped identifier for this query.
pub fn id(&self) -> Uuid {
self.handle.id()
}
/// Get a point-in-time description of the query.
pub async fn describe(&self) -> Result<QueryDescription> {
self.handle.describe().await
}
/// Wait for the initial result stream and return its Arrow record batches.
///
/// The stream can begin yielding partial results before query execution is
/// complete. It continues polling for newly available result endpoints
/// until the query finishes and all endpoints have been consumed.
///
/// Results are single-consumer. Calling this method more than once on the
/// same handle returns an error.
pub async fn reader(&self) -> Result<SendableRecordBatchStream> {
self.handle.reader().await
}
/// Request cancellation of the query.
pub async fn cancel(&self) -> Result<()> {
self.handle.cancel().await
}
}
#[cfg(test)]
mod tests {
use super::QueryStatus;
#[test]
fn query_status_display_is_stable() {
assert_eq!(QueryStatus::Running.to_string(), "running");
assert_eq!(QueryStatus::Finished.to_string(), "finished");
assert_eq!(QueryStatus::Cancelling.to_string(), "cancelling");
assert_eq!(QueryStatus::Cancelled.to_string(), "cancelled");
}
}
+23 -4
View File
@@ -595,6 +595,14 @@ pub trait BaseTable: std::fmt::Display + std::fmt::Debug + Send + Sync {
query: &AnyQuery,
options: QueryExecutionOptions,
) -> Result<String>;
/// Whether [`BaseTable::analyze_plan`] is provided by a remote service.
///
/// Client-side query wrappers use this to preserve backend metrics and
/// distributed-analysis options instead of replacing them with a local plan.
#[doc(hidden)]
fn analyze_plan_is_remote(&self) -> bool {
false
}
/// Add new records to the table.
async fn add(&self, add: AddDataBuilder) -> Result<AddResult>;
@@ -1184,6 +1192,9 @@ impl Table {
/// valid empty blobs contain empty byte strings. Prefer
/// [`Self::fetch_blob_files`] for large selections.
///
/// `_rowid` values stay valid after compaction when the table has stable
/// row ids.
///
/// ```
/// use arrow_array::UInt64Array;
/// use futures::TryStreamExt;
@@ -1225,6 +1236,9 @@ impl Table {
/// the requests. Null blobs produce null output slots; empty ranges on
/// non-null blobs produce empty byte strings.
///
/// `_rowid` values stay valid after compaction when the table has stable
/// row ids.
///
/// ```
/// use lancedb::blob::BlobRangeRequest;
///
@@ -1263,6 +1277,9 @@ impl Table {
/// Same length and order as `row_ids`. Null rows are `None`. Bytes are not
/// read from disk until a call to [`BlobFile::read`].
///
/// `_rowid` values stay valid after compaction when the table has stable
/// row ids.
///
/// ```
/// # use lancedb::Table;
/// # async fn lazy_read(table: &Table, row_ids: &[u64]) -> Result<(), Box<dyn std::error::Error>> {
@@ -1498,7 +1515,9 @@ impl Table {
///
/// * `on` One or more columns to join on. This is how records from the
/// source table and target table are matched. Typically this is some
/// kind of key or id column.
/// kind of key or id column. Several columns match on the composite
/// key: a source row updates a target row only when it agrees on every
/// one of them.
///
/// # Examples
///
@@ -1652,9 +1671,9 @@ impl Table {
/// Offsets are useful for sampling as the set of all valid offsets is easily
/// known in advance to be [0, len(table)).
///
/// No guarantees are made regarding the order in which results are returned. If you
/// desire an output order that matches the order of the given offsets, you will need
/// to add the row offset column to the output and align it yourself.
/// No guarantees are made regarding the order in which results are returned.
/// Repeated offsets produce repeated rows, which makes this method suitable for
/// sampling with replacement.
///
/// Parameters
/// ----------
+555 -80
View File
@@ -60,6 +60,10 @@ pub const FUNCTION_BINDING_ID_META_KEY: &str = "computed_column.function.binding
/// Field metadata key holding this sibling's ordered Function output ordinal.
pub const FUNCTION_OUTPUT_ORDINAL_META_KEY: &str = "computed_column.function.output_ordinal";
/// Reserved Function output ordinal for an internal flattened-result
/// assignment column.
pub const FUNCTION_ASSIGNMENT_OUTPUT_ORDINAL: u32 = u32::MAX;
/// Schema metadata key holding all immutable Function bindings.
pub const FUNCTION_BINDINGS_META_KEY: &str = "lancedb::function_bindings";
@@ -312,22 +316,29 @@ pub(crate) fn ensure_supported_function_metadata(schema: &ArrowSchema) -> Result
binding_id
),
})?;
let output = binding
.outputs()
.get(output_ordinal as usize)
.ok_or_else(|| Error::InvalidInput {
message: format!(
"Function output '{}' has invalid ordinal {}",
field.name(),
output_ordinal
),
})?;
if output.output_name != field.name().as_str() {
let destination = if output_ordinal == FUNCTION_ASSIGNMENT_OUTPUT_ORDINAL {
binding
.assignment()
.map(|assignment| assignment.output_name.as_str())
} else {
binding
.outputs()
.get(output_ordinal as usize)
.map(|output| output.output_name.as_str())
}
.ok_or_else(|| Error::InvalidInput {
message: format!(
"Function output '{}' has invalid ordinal {}",
field.name(),
output_ordinal
),
})?;
if destination != field.name().as_str() {
return Err(Error::InvalidInput {
message: format!(
"Function output '{}' does not match binding destination '{}'",
field.name(),
output.output_name
destination
),
});
}
@@ -498,6 +509,7 @@ fn ensure_known_binding_shape(value: &Value) -> Result<()> {
"function",
"inputs",
"outputs",
"assignment",
"input_schema",
"output_schema",
],
@@ -546,6 +558,13 @@ fn ensure_known_binding_shape(value: &Value) -> Result<()> {
"output mapping",
)?;
}
if let Some(assignment) = object.get("assignment") {
reject_unknown_object_fields(
assignment,
&["output_name", "output_field_id"],
"assignment mapping",
)?;
}
Ok(())
}
@@ -589,16 +608,13 @@ fn canonical_input_arrow_type(field: &JsonArrowField) -> Result<String> {
.and_then(|metadata| metadata.get(ARROW_EXT_NAME_KEY))
.map(String::as_str)
== Some(BLOB_V2_EXT_NAME);
if is_blob_v2 {
if is_blob_v2 || field.r#type.fields.is_some() {
let arrow_field = lance_namespace::schema::convert_json_arrow_field(field)
.map_err(|e| invalid_function(format!("invalid Function input field: {e}")))?;
if !has_supported_blob_v2_layout(&arrow_field) {
return Err(invalid_function(format!(
"Function input '{}' has an invalid Blob v2 storage layout",
arrow_field.name()
)));
validate_function_blob_nesting(&arrow_field, false)?;
if is_blob_v2 {
return Ok(FUNCTION_BLOB_V2_TYPE.to_string());
}
return Ok(FUNCTION_BLOB_V2_TYPE.to_string());
}
if field.r#type.fields.is_none() && field.r#type.length.is_none() {
Ok(field.r#type.r#type.clone())
@@ -617,6 +633,34 @@ fn has_supported_blob_v2_layout(field: &ArrowField) -> bool {
)
}
fn validate_function_blob_nesting(field: &ArrowField, inside_collection: bool) -> Result<()> {
if field.is_blob_v2() {
if inside_collection {
return Err(invalid_function(format!(
"Function field '{}' nests Blob v2 under a collection, which Function signatures do not support",
field.name()
)));
}
if !has_supported_blob_v2_layout(field) {
return Err(invalid_function(format!(
"Function field '{}' has an invalid Blob v2 storage layout",
field.name()
)));
}
return Ok(());
}
match field.data_type() {
DataType::Struct(fields) => fields
.iter()
.try_for_each(|field| validate_function_blob_nesting(field, inside_collection)),
DataType::List(field)
| DataType::LargeList(field)
| DataType::FixedSizeList(field, _)
| DataType::Map(field, _) => validate_function_blob_nesting(field, true),
_ => Ok(()),
}
}
/// `fixed_size_list<item, size>` -> (`item`, `size`); the comma must sit outside
/// any nested `<...>`.
fn split_fixed_size_list(raw: &str) -> Option<(&str, i32)> {
@@ -697,31 +741,51 @@ fn parse_output_arrow_type(raw: &str) -> Result<JsonArrowDataType> {
}
fn function_output_field(name: &str, nullable: bool, raw: &str) -> Result<JsonArrowField> {
if raw == FUNCTION_BLOB_V2_TYPE {
return lance_namespace::schema::arrow_schema_to_json(&ArrowSchema::new(vec![
crate::blob(name, nullable),
]))
let field = if raw == FUNCTION_BLOB_V2_TYPE {
lance_namespace::schema::arrow_schema_to_json(&ArrowSchema::new(vec![crate::blob(
name, nullable,
)]))
.map_err(|e| invalid_function(format!("could not encode Blob v2 output field: {e}")))?
.fields
.into_iter()
.next()
.ok_or_else(|| invalid_function("Blob v2 output field is missing"));
}
Ok(JsonArrowField::new(
name.to_string(),
nullable,
parse_output_arrow_type(raw)?,
))
.ok_or_else(|| invalid_function("Blob v2 output field is missing"))?
} else {
JsonArrowField::new(name.to_string(), nullable, parse_output_arrow_type(raw)?)
};
let arrow_field = lance_namespace::schema::convert_json_arrow_field(&field)
.map_err(|e| invalid_function(format!("invalid Function output field: {e}")))?;
validate_function_blob_nesting(&arrow_field, false)?;
Ok(field)
}
fn function_output_field_matches(expected: &ArrowField, actual: &ArrowField) -> bool {
expected.name() == actual.name()
&& expected.is_nullable() == actual.is_nullable()
&& if expected.is_blob_v2() {
/// Whether two fields describe the same Function output.
///
/// `compare_identity` covers the field's own name and nullability. Struct
/// children carry both as part of the declaration and compare with it on. List
/// children do not: Lance rewrites a list item's name and nullability when it
/// writes, so a stored `fixed_size_list<item: float not null>` comes back as
/// `fixed_size_list<item: float>` and never matches the declaration again.
/// Comparing those by type alone keeps this agreeing with the server, which
/// draws the same distinction and is what accepted the column when it was
/// declared.
fn function_output_field_matches(
expected: &ArrowField,
actual: &ArrowField,
compare_identity: bool,
) -> bool {
if compare_identity
&& (expected.name() != actual.name() || expected.is_nullable() != actual.is_nullable())
{
return false;
}
match (expected.is_blob_v2(), actual.is_blob_v2()) {
(false, false) => function_output_type_matches(expected.data_type(), actual.data_type()),
(true, true) => {
has_supported_blob_v2_layout(expected) && has_supported_blob_v2_layout(actual)
} else {
function_output_type_matches(expected.data_type(), actual.data_type())
}
_ => false,
}
}
fn function_output_type_matches(expected: &DataType, actual: &DataType) -> bool {
@@ -734,33 +798,19 @@ fn function_output_type_matches(expected: &DataType, actual: &DataType) -> bool
&& expected
.iter()
.zip(actual)
.all(|(expected, actual)| function_output_field_matches(expected, actual))
.all(|(expected, actual)| function_output_field_matches(expected, actual, true))
}
(DataType::List(expected), DataType::List(actual))
| (DataType::LargeList(expected), DataType::LargeList(actual)) => {
function_output_field_matches(expected, actual)
function_output_field_matches(expected, actual, false)
}
(
DataType::FixedSizeList(expected, expected_size),
DataType::FixedSizeList(actual, actual_size),
) => expected_size == actual_size && function_output_field_matches(expected, actual),
) => expected_size == actual_size && function_output_field_matches(expected, actual, false),
(DataType::Map(expected, expected_sorted), DataType::Map(actual, actual_sorted)) => {
expected_sorted == actual_sorted && function_output_field_matches(expected, actual)
}
_ => false,
}
}
fn function_output_type_has_blob(data_type: &DataType) -> bool {
match data_type {
DataType::Struct(fields) => fields
.iter()
.any(|field| field.is_blob_v2() || function_output_type_has_blob(field.data_type())),
DataType::List(field)
| DataType::LargeList(field)
| DataType::FixedSizeList(field, _)
| DataType::Map(field, _) => {
field.is_blob_v2() || function_output_type_has_blob(field.data_type())
expected_sorted == actual_sorted
&& function_output_field_matches(expected, actual, true)
}
_ => false,
}
@@ -839,23 +889,20 @@ fn ensure_binding_matches_schema(schema: &ArrowSchema, binding: &FunctionBinding
output.output_name
))
})?;
if field.name() != &output.output_name || !field.is_nullable() || output.nullable {
if field.name() != &output.output_name || !field.is_nullable() {
return Err(invalid_function(format!(
"Function output '{}' no longer matches binding '{}'",
output.output_name,
binding.binding_id()
)));
}
let (type_matches, has_semantic_blob) = if output.arrow_type == FUNCTION_BLOB_V2_TYPE {
(has_supported_blob_v2_layout(field), true)
let type_matches = if output.arrow_type == FUNCTION_BLOB_V2_TYPE {
has_supported_blob_v2_layout(field)
} else {
let expected_type = parse_output_arrow_type(&output.arrow_type)?;
let expected_type = lance_namespace::schema::convert_json_arrow_type(&expected_type)
.map_err(|e| invalid_function(format!("invalid Function output type: {e}")))?;
(
function_output_type_matches(&expected_type, field.data_type()),
function_output_type_has_blob(&expected_type),
)
function_output_type_matches(&expected_type, field.data_type())
};
if !type_matches {
return Err(invalid_function(format!(
@@ -886,19 +933,71 @@ fn ensure_binding_matches_schema(schema: &ArrowSchema, binding: &FunctionBinding
binding.binding_id()
)));
}
if has_semantic_blob {
output_fields.push(function_output_field(
field.name(),
true,
&output.arrow_type,
)?);
} else {
let json = lance_namespace::schema::arrow_schema_to_json(&ArrowSchema::new(vec![
ArrowField::new(field.name().clone(), field.data_type().clone(), true),
]))
.map_err(|e| invalid_function(format!("invalid Function output schema: {e}")))?;
output_fields.push(json.fields.into_iter().next().unwrap());
// Rebuild from the declaration rather than from the stored field. The
// stored field carries Lance's write-time normalization, which would
// never round-trip back to the schema the binding recorded -- the same
// reason list children compare by type above. Whether the column on
// disk still matches is settled by that comparison, not here.
output_fields.push(function_output_field(
field.name(),
true,
&output.arrow_type,
)?);
}
if let Some(assignment) = binding.assignment() {
if binding
.outputs()
.iter()
.any(|output| output.result_field == WHOLE_RESULT_FIELD)
{
return Err(invalid_function(format!(
"Function binding '{}' cannot attach an assignment column to a whole result",
binding.binding_id()
)));
}
let field = schema
.field_with_name(&assignment.output_name)
.map_err(|_| {
invalid_function(format!(
"Function binding '{}' assignment column '{}' is missing",
binding.binding_id(),
assignment.output_name
))
})?;
let metadata = field.metadata();
if field.data_type() != &DataType::Boolean
|| !field.is_nullable()
|| metadata.get(COMPUTED_COLUMN_META_KEY).map(String::as_str) != Some("true")
|| metadata.get(KIND_META_KEY).map(String::as_str) != Some(FUNCTION_KIND)
|| metadata
.get(FUNCTION_BINDING_ID_META_KEY)
.map(String::as_str)
!= Some(binding.binding_id())
|| metadata
.get(FUNCTION_OUTPUT_ORDINAL_META_KEY)
.and_then(|value| value.parse::<u32>().ok())
!= Some(FUNCTION_ASSIGNMENT_OUTPUT_ORDINAL)
{
return Err(invalid_function(format!(
"Function binding '{}' assignment column no longer matches its declaration",
binding.binding_id()
)));
}
let json = lance_namespace::schema::arrow_schema_to_json(&ArrowSchema::new(vec![
ArrowField::new(assignment.output_name.clone(), DataType::Boolean, true),
]))
.map_err(|e| invalid_function(format!("invalid Function assignment schema: {e}")))?;
output_fields.push(json.fields.into_iter().next().unwrap());
} else if binding.outputs().iter().all(|output| output.nullable)
&& binding
.outputs()
.iter()
.all(|output| output.result_field != WHOLE_RESULT_FIELD)
{
return Err(invalid_function(format!(
"Function binding '{}' has no flattened-result assignment column",
binding.binding_id()
)));
}
let output_schema = JsonArrowSchema::new(output_fields);
let output_schema = serde_json::to_value(output_schema).map_err(|e| {
@@ -1055,11 +1154,6 @@ pub(crate) fn plan_function_application(
"named-struct Function result field names must be unique",
));
}
if output.fields.iter().any(|field| field.nullable) {
return Err(invalid_function(
"Function logical outputs must be non-nullable during NULL assignment",
));
}
let unknown = application
.columns()
.keys()
@@ -1081,7 +1175,9 @@ pub(crate) fn plan_function_application(
let fields = output
.fields
.iter()
.map(|field| function_output_field(&field.name, false, &field.arrow_type))
.map(|field| {
function_output_field(&field.name, field.nullable, &field.arrow_type)
})
.collect::<Result<Vec<_>>>()?;
let mut data_type = JsonArrowDataType::new("struct".to_string());
data_type.fields = Some(fields);
@@ -1718,6 +1814,69 @@ mod tests {
assert!(super::validate_declarations(schema, &declarations).is_err());
}
#[test]
fn list_children_match_by_type_but_struct_children_by_identity() {
use arrow_schema::Field as F;
// Lance rewrites a list item's name and nullability on write, so the
// stored field is no longer identical to what was declared. Comparing
// those by type keeps a table with a vector output usable.
let declared =
DataType::FixedSizeList(Arc::new(F::new("item", DataType::Float32, false)), 4);
let stored = DataType::FixedSizeList(Arc::new(F::new("item", DataType::Float32, true)), 4);
assert!(super::function_output_type_matches(&declared, &stored));
let renamed =
DataType::FixedSizeList(Arc::new(F::new("element", DataType::Float32, true)), 4);
assert!(super::function_output_type_matches(&declared, &renamed));
// The dimension is still part of the declaration.
let resized = DataType::FixedSizeList(Arc::new(F::new("item", DataType::Float32, true)), 8);
assert!(!super::function_output_type_matches(&declared, &resized));
// Struct children keep comparing by name and nullability.
let struct_declared =
DataType::Struct(vec![F::new("changed", DataType::Boolean, false)].into());
let struct_nullable =
DataType::Struct(vec![F::new("changed", DataType::Boolean, true)].into());
let struct_renamed =
DataType::Struct(vec![F::new("altered", DataType::Boolean, false)].into());
assert!(super::function_output_type_matches(
&struct_declared,
&struct_declared
));
assert!(!super::function_output_type_matches(
&struct_declared,
&struct_nullable
));
assert!(!super::function_output_type_matches(
&struct_declared,
&struct_renamed
));
// A list nested inside a struct gets the list rule.
let nested_declared = DataType::Struct(
vec![F::new(
"tokens",
DataType::List(Arc::new(F::new("item", DataType::Utf8, false))),
true,
)]
.into(),
);
let nested_stored = DataType::Struct(
vec![F::new(
"tokens",
DataType::List(Arc::new(F::new("item", DataType::Utf8, true))),
true,
)]
.into(),
);
assert!(super::function_output_type_matches(
&nested_declared,
&nested_stored
));
}
#[test]
fn output_arrow_type_grammar_matches_the_shared_golden() {
let golden: serde_json::Value = serde_json::from_str(include_str!(
@@ -2719,6 +2878,28 @@ mod tests {
.unwrap()
}
fn exact_arrow_type(field: ArrowField) -> String {
let json =
lance_namespace::schema::arrow_schema_to_json(&ArrowSchema::new(vec![field])).unwrap();
serde_json::to_string(json.fields[0].r#type.as_ref()).unwrap()
}
fn single_input_application(path: &str) -> FunctionApplication {
FunctionApplication::from_json(
&serde_json::json!({
"function": {"name": "inspect", "version": "fv_nested_blob"},
"inputs": [{
"parameter": "value",
"kind": "column",
"value": {"path": path}
}],
"output": {"kind": "scalar", "arrow_type": "int64", "nullable": false}
})
.to_string(),
)
.unwrap()
}
fn binding_from_plan(plan: &FunctionDeclarationPlan) -> FunctionBinding {
let inputs = plan
.input_bindings
@@ -2810,6 +2991,17 @@ mod tests {
&inputs,
));
}
if let Some(assignment) = binding.assignment() {
fields.push(
ArrowField::new(&assignment.output_name, DataType::Boolean, true).with_metadata(
function_computed_column_metadata(
binding.binding_id(),
FUNCTION_ASSIGNMENT_OUTPUT_ORDINAL,
&inputs,
),
),
);
}
ArrowSchema::new(fields)
}
@@ -2827,6 +3019,74 @@ mod tests {
.unwrap();
}
#[test]
fn test_binding_preserves_all_nullable_outputs_with_an_assignment_column() {
let mut raw_binding: Value = serde_json::from_str(include_str!(
"../../tests/fixtures/first_class_functions/v1/remote_function_binding.json"
))
.unwrap();
raw_binding["outputs"][0]["nullable"] = Value::Bool(true);
raw_binding["outputs"][1]["nullable"] = Value::Bool(true);
let without_assignment: FunctionBinding =
serde_json::from_value(raw_binding.clone()).unwrap();
let error = ensure_binding_matches_schema(
&valid_function_binding_schema(true, true, &without_assignment),
&without_assignment,
)
.unwrap_err();
assert!(
error
.to_string()
.contains("flattened-result assignment column")
);
raw_binding["assignment"] = serde_json::json!({
"output_name": "__function_assignment_fb_01K3TEXT",
"output_field_id": -1,
});
raw_binding["output_schema"]["fields"]
.as_array_mut()
.unwrap()
.push(serde_json::json!({
"name": "__function_assignment_fb_01K3TEXT",
"nullable": true,
"type": {"type": "bool"},
}));
let binding: FunctionBinding = serde_json::from_value(raw_binding).unwrap();
ensure_binding_matches_schema(
&valid_function_binding_schema(true, true, &binding),
&binding,
)
.unwrap();
let schema = ArrowSchema::new_with_metadata(
valid_function_binding_schema(true, true, &binding)
.fields()
.to_vec(),
HashMap::from([(
FUNCTION_BINDINGS_META_KEY.to_string(),
function_bindings_metadata(std::slice::from_ref(&binding)).unwrap(),
)]),
);
ensure_supported_function_metadata(&schema).unwrap();
let mut metadata: Value =
serde_json::from_str(schema.metadata().get(FUNCTION_BINDINGS_META_KEY).unwrap())
.unwrap();
metadata["bindings"][0]["assignment"]["future"] = Value::Bool(true);
let future_schema = ArrowSchema::new_with_metadata(
schema.fields().to_vec(),
HashMap::from([(
FUNCTION_BINDINGS_META_KEY.to_string(),
serde_json::to_string(&metadata).unwrap(),
)]),
);
assert!(matches!(
ensure_supported_function_metadata(&future_schema),
Err(Error::NotSupported { .. })
));
}
#[test]
fn test_nullable_function_input_cannot_bind_to_non_nullable_parameter() {
let mut raw_binding: Value = serde_json::from_str(include_str!(
@@ -3046,6 +3306,35 @@ mod tests {
);
}
#[test]
fn test_named_struct_plan_preserves_nullable_result_fields() {
let mut value = serde_json::to_value(named_struct_application("{}")).unwrap();
value["output"]["fields"][0]["nullable"] = Value::Bool(true);
value["output"]["fields"][1]["nullable"] = Value::Bool(true);
let application = FunctionApplication::from_json(&value.to_string()).unwrap();
let expanded =
plan_function_application(&function_input_schema(), &application, None).unwrap();
assert!(
expanded
.output_schema
.fields
.iter()
.all(|field| field.nullable)
);
let whole =
plan_function_application(&function_input_schema(), &application, Some("features"))
.unwrap();
let fields = whole.output_schema.fields[0]
.r#type
.fields
.as_ref()
.unwrap();
assert!(fields[0].nullable);
assert!(fields[1].nullable);
}
#[test]
fn test_blob_function_plans_semantic_input_and_scalar_output() {
let schema = ArrowSchema::new(vec![crate::blob("image", false)]);
@@ -3062,6 +3351,70 @@ mod tests {
assert!(output_schema.field(0).is_blob_v2());
}
#[test]
fn binding_accepts_a_lance_normalized_list_child() {
// The whole guard, not just the type helper: this also reaches the
// output-schema comparison at the end of ensure_binding_matches_schema,
// which used to rebuild the schema from the stored field and so failed
// on exactly the same normalization.
let input = ArrowField::new("value", DataType::Int64, false);
let application = FunctionApplication::from_json(
&serde_json::json!({
"function": {"name": "embed", "version": "fv_embed"},
"inputs": [{
"parameter": "value",
"kind": "column",
"value": {"path": "value"}
}],
"output": {
"kind": "scalar",
"arrow_type": "fixed_size_list<float32, 4>",
"nullable": false
}
})
.to_string(),
)
.unwrap();
let plan = plan_function_application(
&ArrowSchema::new(vec![input.clone()]),
&application,
Some("embedding"),
)
.unwrap();
let binding = binding_from_plan(&plan);
// The declaration says the item is non-nullable; Lance rewrites it to
// nullable on write, so this is what the column looks like on disk.
let stored = DataType::FixedSizeList(
Arc::new(ArrowField::new("item", DataType::Float32, true)),
4,
);
let output = ArrowField::new("embedding", stored, true).with_metadata(
function_computed_column_metadata(binding.binding_id(), 0, &["value".into()]),
);
ensure_binding_matches_schema(&ArrowSchema::new(vec![input.clone(), output]), &binding)
.unwrap();
// A different element type is still a mismatch.
let wrong = ArrowField::new(
"embedding",
DataType::FixedSizeList(
Arc::new(ArrowField::new("item", DataType::Float64, true)),
4,
),
true,
)
.with_metadata(function_computed_column_metadata(
binding.binding_id(),
0,
&["value".into()],
));
assert!(
ensure_binding_matches_schema(&ArrowSchema::new(vec![input, wrong]), &binding).is_err()
);
}
#[test]
fn test_blob_scalar_binding_accepts_full_logical_layout() {
let input = crate::blob("image", false);
@@ -3158,6 +3511,128 @@ mod tests {
assert_eq!(fields[1].data_type(), &DataType::Int32);
}
#[test]
fn test_struct_blob_input_preserves_exact_schema_and_nullability() {
let payload = ArrowField::new(
"payload",
DataType::Struct(Fields::from(vec![
ArrowField::new("mime_type", DataType::Utf8, false),
ArrowField::new(
"nested",
DataType::Struct(Fields::from(vec![crate::blob("image", true)])),
true,
),
])),
true,
);
let plan = plan_function_application(
&ArrowSchema::new(vec![payload]),
&single_input_application("payload"),
Some("size"),
)
.unwrap();
let declared: JsonArrowDataType =
serde_json::from_str(&plan.input_bindings[0].arrow_type).unwrap();
let DataType::Struct(fields) =
lance_namespace::schema::convert_json_arrow_type(&declared).unwrap()
else {
panic!("expected a struct Function input")
};
assert!(fields[1].is_nullable());
let DataType::Struct(nested) = fields[1].data_type() else {
panic!("expected a recursive struct Function input")
};
assert!(nested[0].is_blob_v2());
assert!(nested[0].is_nullable());
let exact = lance_namespace::schema::convert_json_arrow_schema(&plan.input_schema).unwrap();
let DataType::Struct(fields) = exact.field(0).data_type() else {
panic!("expected exact input schema to retain the struct")
};
let DataType::Struct(nested) = fields[1].data_type() else {
panic!("expected exact input schema to retain the nested struct")
};
assert!(nested[0].is_blob_v2());
}
#[test]
fn test_recursive_blob_result_plans_one_whole_named_struct_column() {
let details_type = exact_arrow_type(ArrowField::new(
"details",
DataType::Struct(Fields::from(vec![crate::blob("image", true)])),
false,
));
let application = FunctionApplication::from_json(
&serde_json::json!({
"function": {"name": "inspect", "version": "fv_nested_blob"},
"inputs": [],
"output": {
"kind": "named_struct",
"fields": [
{"name": "mime_type", "arrow_type": "utf8", "nullable": false},
{"name": "details", "arrow_type": details_type, "nullable": false}
]
}
})
.to_string(),
)
.unwrap();
let plan = plan_function_application(&ArrowSchema::empty(), &application, Some("payload"))
.unwrap();
assert_eq!(plan.outputs.len(), 1);
assert_eq!(plan.outputs[0].result_field, WHOLE_RESULT_FIELD);
let schema =
lance_namespace::schema::convert_json_arrow_schema(&plan.output_schema).unwrap();
assert_eq!(schema.field(0).name(), "payload");
let DataType::Struct(fields) = schema.field(0).data_type() else {
panic!("whole named result must be one struct column")
};
assert_eq!(
fields.iter().map(|field| field.name()).collect::<Vec<_>>(),
["mime_type", "details"]
);
let DataType::Struct(details) = fields[1].data_type() else {
panic!("expected recursive result struct")
};
assert!(details[0].is_blob_v2());
assert!(!fields.iter().any(|field| field.name() == "payload"));
}
#[test]
fn test_blob_children_under_collections_are_rejected() {
let collections = vec![
DataType::List(Arc::new(crate::blob("item", false))),
DataType::LargeList(Arc::new(crate::blob("item", false))),
DataType::FixedSizeList(Arc::new(crate::blob("item", false)), 2),
DataType::Map(
Arc::new(ArrowField::new(
"entries",
DataType::Struct(Fields::from(vec![
ArrowField::new("key", DataType::Utf8, false),
crate::blob("value", false),
])),
false,
)),
false,
),
];
for data_type in collections {
let schema = ArrowSchema::new(vec![ArrowField::new("value", data_type, false)]);
let error = plan_function_application(
&schema,
&single_input_application("value"),
Some("size"),
)
.unwrap_err();
assert!(
error.to_string().contains("under a collection"),
"got: {error}"
);
}
}
#[test]
fn test_blob_whole_struct_binding_accepts_full_logical_layout() {
let input = crate::blob("image", false);
+78 -2
View File
@@ -133,7 +133,7 @@ impl NativeTable {
),
});
}
(resolved.canonical_path, resolved.field)
(resolved.canonical_path, resolved.terminal_field)
} else {
Self::resolve_index_field(dataset.schema(), &opts.columns[0])?
};
@@ -439,7 +439,8 @@ mod tests {
use arrow_array::record_batch;
use arrow_array::{
Array, ArrayRef, BinaryArray, BooleanArray, FixedSizeListArray, Float32Array, Int32Array,
LargeBinaryArray, LargeStringArray, RecordBatch, StringArray, StructArray,
LargeBinaryArray, LargeStringArray, ListArray, RecordBatch, StringArray, StructArray,
UInt32Array,
};
use arrow_data::ArrayDataBuilder;
use arrow_schema::{DataType, Field, Schema};
@@ -458,6 +459,7 @@ mod tests {
use crate::query::{ExecutableQuery, QueryBase};
use crate::table::optimize::{CompactionOptions, OptimizeAction};
use lance_index::scalar::FullTextSearchQuery;
use lance_index::scalar::inverted::query::{FtsQuery, MatchQuery};
fn create_fixed_size_list<T: Array>(
values: T,
@@ -599,6 +601,80 @@ mod tests {
assert!(invalid_granularity.is_err());
}
#[tokio::test]
async fn test_nested_list_fts_uses_deepest_document_coordinates() {
let conn = connect("memory://").execute().await.unwrap();
let mut docs = ListBuilder::new(ListBuilder::new(StringBuilder::new()));
docs.values().values().append_value("alpha");
docs.values().values().append_value("beta");
docs.values().append(true);
docs.values().values().append_value("gamma");
docs.values().values().append_value("alpha delta");
docs.values().append(true);
docs.append(true);
docs.values().append(true);
docs.values().values().append_value("alpha");
docs.values().append(true);
docs.append(true);
let batch = RecordBatch::try_from_iter(vec![
("id", Arc::new(Int32Array::from(vec![0, 1])) as ArrayRef),
("docs", Arc::new(docs.finish()) as ArrayRef),
])
.unwrap();
let table = conn.create_table("nested", batch).execute().await.unwrap();
let job = table
.create_index(
&["docs"],
Index::FTS(
FtsIndexBuilder::default()
.document_granularity(DocumentGranularity::ListElement),
),
)
.execute_async()
.await
.unwrap();
job.wait().await.unwrap();
let query = FullTextSearchQuery::new_query(FtsQuery::Match(
MatchQuery::new("alpha".to_string())
.with_column(Some("docs".to_string()))
.with_document_granularity(DocumentGranularity::ListElement),
));
let batches = table
.query()
.full_text_search(query)
.limit(10)
.execute()
.await
.unwrap()
.try_collect::<Vec<_>>()
.await
.unwrap();
let mut hits = Vec::new();
for batch in batches {
let ids = batch["id"].as_any().downcast_ref::<Int32Array>().unwrap();
let coordinates = batch["_doc_index"]
.as_any()
.downcast_ref::<ListArray>()
.unwrap();
for row in 0..batch.num_rows() {
let coordinate = coordinates.value(row);
let coordinate = coordinate.as_any().downcast_ref::<UInt32Array>().unwrap();
hits.push((ids.value(row), coordinate.values().to_vec()));
}
}
hits.sort_unstable();
assert_eq!(
hits,
vec![(0, vec![0, 0]), (0, vec![1, 1]), (1, vec![1, 0])]
);
}
/// Concurrent waiters, and a wait issued after the job settled, all
/// succeed once the build does.
#[tokio::test]
@@ -5,12 +5,17 @@
//!
//! [`super::cast::cast_to_table_schema`] calls [`coerce_blob_expr`].
use std::fmt;
use std::hash::{Hash, Hasher};
use std::sync::Arc;
use arrow_schema::{DataType, Field, FieldRef, Fields};
use arrow_array::{Array, BooleanArray, RecordBatch};
use arrow_schema::{DataType, Field, FieldRef, Fields, Schema};
use arrow_select::nullif::nullif;
use datafusion::functions::core::{get_field, named_struct};
use datafusion_common::ScalarValue;
use datafusion_common::config::ConfigOptions;
use datafusion_expr::ColumnarValue;
use datafusion_physical_expr::ScalarFunctionExpr;
use datafusion_physical_expr::expressions::{CastExpr, Literal};
use datafusion_physical_plan::PhysicalExpr;
@@ -133,16 +138,102 @@ pub(super) fn coerce_blob_expr(
ns_args.push(value);
}
let expr: Arc<dyn PhysicalExpr> = Arc::new(ScalarFunctionExpr::new(
let built: Arc<dyn PhysicalExpr> = Arc::new(ScalarFunctionExpr::new(
&format!("named_struct({})", table_field.name()),
named_struct(),
ns_args,
table_field.clone(),
config.clone(),
));
// `named_struct` always yields a valid struct, so a null input would land
// as a row that set neither `data` nor `uri` -- not an absent blob but a
// malformed one, which Lance rejects on write.
let expr: Arc<dyn PhysicalExpr> = Arc::new(AbsentBlobIsNull {
source: input_expr,
built,
field: table_field.clone(),
});
Ok((expr, table_field.clone()))
}
/// Carries the source column's nullity onto the struct built for it.
///
/// This is its own expression rather than a `CASE` because the projection
/// takes its output field from `return_field`, and the generic implementation
/// rebuilds a bare field -- which would drop the `lance.blob.v2` extension
/// metadata and stop the column being recognised as a blob at all.
#[derive(Debug, Clone)]
struct AbsentBlobIsNull {
source: Arc<dyn PhysicalExpr>,
built: Arc<dyn PhysicalExpr>,
field: FieldRef,
}
impl fmt::Display for AbsentBlobIsNull {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
write!(f, "absent_blob_is_null({}, {})", self.source, self.built)
}
}
impl PartialEq for AbsentBlobIsNull {
fn eq(&self, other: &Self) -> bool {
self.source.eq(&other.source) && self.built.eq(&other.built) && self.field == other.field
}
}
impl Eq for AbsentBlobIsNull {}
impl Hash for AbsentBlobIsNull {
fn hash<H: Hasher>(&self, state: &mut H) {
self.source.hash(state);
self.built.hash(state);
self.field.hash(state);
}
}
impl PhysicalExpr for AbsentBlobIsNull {
fn return_field(&self, _input_schema: &Schema) -> datafusion_common::Result<FieldRef> {
Ok(self.field.clone())
}
fn nullable(&self, _input_schema: &Schema) -> datafusion_common::Result<bool> {
Ok(true)
}
fn evaluate(&self, batch: &RecordBatch) -> datafusion_common::Result<ColumnarValue> {
let rows = batch.num_rows();
let built = self.built.evaluate(batch)?.into_array(rows)?;
let source = self.source.evaluate(batch)?.into_array(rows)?;
let Some(nulls) = source.logical_nulls() else {
return Ok(ColumnarValue::Array(built));
};
// `nullif` nulls the rows the mask marks true, which is where the
// source had no value.
let absent = BooleanArray::new(!nulls.inner(), None);
Ok(ColumnarValue::Array(nullif(built.as_ref(), &absent)?))
}
fn children(&self) -> Vec<&Arc<dyn PhysicalExpr>> {
vec![&self.source, &self.built]
}
fn with_new_children(
self: Arc<Self>,
children: Vec<Arc<dyn PhysicalExpr>>,
) -> datafusion_common::Result<Arc<dyn PhysicalExpr>> {
Ok(Arc::new(Self {
source: children[0].clone(),
built: children[1].clone(),
field: self.field.clone(),
}))
}
fn fmt_sql(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
write!(f, "{self}")
}
}
enum BlobInputShape<'a> {
Bytes,
String,
@@ -313,6 +404,11 @@ mod tests {
let data = image.column_by_name("data").unwrap();
assert!(!data.is_null(0));
assert!(data.is_null(1));
// The row itself has to be null, not merely a struct whose children
// are. A present-but-empty struct set neither `data` nor `uri`, which
// Lance rejects as malformed rather than reading as an absent blob.
assert!(!image.is_null(0));
assert!(image.is_null(1));
}
#[tokio::test]
+8 -1
View File
@@ -110,7 +110,7 @@ fn requires_local_namespace_execution(query: &AnyQuery) -> bool {
// pushing these down would silently ignore the user's setting. For use_lsm that
// is worse than a tuning miss: MemWAL read routing lives only in `create_plan`,
// so a pushed-down query would return stale base-only data with no error.
if query.base().use_lsm.is_some() {
if query.base().use_lsm.is_some() || query.base().take_offsets.is_some() {
return true;
}
matches!(
@@ -154,6 +154,13 @@ pub async fn create_plan(
options: QueryExecutionOptions,
) -> Result<Arc<dyn ExecutionPlan>> {
let query = query.canonicalized()?;
if let AnyQuery::Query(request) = &query
&& let Some(offsets) = &request.take_offsets
{
return crate::query::create_take_offsets_plan(table, request, offsets, options, false)
.await;
}
let query = match query {
AnyQuery::VectorQuery(query) => query,
AnyQuery::Query(query) => VectorQueryRequest::from_plain_query(query),

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