Native job metadata types report `builtins` as their module, so Griffe
cannot resolve the public `lancedb.job` re-exports and the Python API
reference build fails. Set the PyO3 module metadata for `JobInfo`,
`JobDescription`, and `JobFailureInfo`, and cover import resolution in
the existing package metadata tests.
Reproduced the failure and validated the fix with the docs CI toolchain
(`griffe==0.49.0`, `mkdocstrings==0.25.2`, and
`mkdocstrings-python==1.10.9`). After rebuilding the native extension,
the full `PYTHONPATH=. mkdocs build` succeeds and all three classes and
their public members appear in the generated reference.
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.
## Problem
`refresh_column_async` returned a unit-result job even though durable
refresh jobs carry a canonical terminal result. Python callers could not
obtain row counts or source and published versions through the public
`Job` API, and local and remote refresh jobs exposed different result
semantics.
## Behavior
`refresh_column_async` now returns `Job[RefreshColumnResult]` for local
and remote tables. The general typed-job bridge binds each endpoint to
its public result model while preserving unit-result jobs and existing
status, wait, cancel, and timeout behavior. A local no-op refresh
reports no published version.
The Node.js API continues to resolve `wait()` as `void`; its binding
erases the Rust result type internally to preserve the existing public
contract.
## Ownership and integration boundary
LanceDB owns the language-neutral `Job<T>` contract and language-binding
decode. Sophon owns production and durable persistence of terminal
payloads. Sophon #7348 and #7378 now publish the canonical refresh
result for Function-backed and expression-backed refresh jobs,
respectively. The remote client fixture matches the merged server
schema; live deployment and end-to-end demo acceptance remain separate
rollout checks.
## Problem
Generic job result propagation exposed the PyO3 representation of Rust's
unit value as `()` in Python. Unit jobs therefore returned an empty
tuple instead of `None`, breaking the documented `Job.wait()` contract
and the Python doctest workflow.
## Behavior
Unit job completion now converts explicitly to Python `None`. Typed job
results continue to pass through unchanged, with synchronous and
asynchronous regression coverage.
## Problem
The canonical Function wire values and typed remote Job contract do not
yet provide a Python authoring surface or catalog client, so users
cannot package a scalar callable, register it, or reopen the exact
immutable Function version.
## Behavior
This adds scalar-only `@udf` authoring with deterministic annotation or
explicit Arrow schema validation, content-addressed Python artifacts,
and an internal scalar-to-Arrow-batch adapter descriptor. Registration
payloads model non-secret environment values and secret names only.
Remote connections can submit `create_function_async` and receive a
typed `Job<FunctionVersion>`, then reopen that exact version by name and
version ID. Synchronous connections can call `create_function` to submit
and wait for the immutable version in one operation. Local Function
catalog operations return a stable `NotSupported` error. Shared
Rust/Python golden payloads and mocked catalog responses freeze the
request, typed terminal result, and exact lookup contract.
## Validation
- Rust formatting, remote check, clippy, and focused LDB-1/LDB-2 tests
- Python formatting, lint, and focused LDB-1/LDB-2 tests
- Python API documentation build
Adds job operations to the connection surface, building on the Job
handle from #3742: job(id), list_jobs, get_job, cancel_job, and
job_history, plus a non-blocking Job.status(). Implemented on the
Database trait (defaulting to NotSupported), the remote backend
(/v1/jobs), and the Python and Node bindings; job_history returns Arrow
batches.
errors() and progress() are not included.
Tested with mocked endpoints in all three languages.
---------
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
IndexBuilder::execute now returns a Job with wait and cancel methods.
Local tables build the index synchronously and return an already-done
job. Remote tables read the job id the server returns from create_index
and track it through the /v1/jobs API: wait polls describe until the job
reaches a terminal state and cancel posts a cancellation. Servers that
return no job id yield a done job, so behavior against older servers is
unchanged. The job id is not exposed on the handle.
The Python and TypeScript bindings keep their current signatures and
discard the handle; exposing Job there is left to follow-ups.
---------
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>