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.
This commit is contained in:
Jack Ye
2026-09-05 16:24:23 -07:00
committed by GitHub
parent 8c9c5c5a5f
commit 21f11b4463
30 changed files with 1679 additions and 585 deletions
+19 -6
View File
@@ -148,17 +148,13 @@ 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 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,
@@ -244,9 +240,20 @@ 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
@@ -278,7 +285,13 @@ 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]: ...
+19 -68
View File
@@ -76,7 +76,7 @@ if TYPE_CHECKING:
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
@@ -745,26 +745,23 @@ 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 open_job(self, job_id: str) -> Job:
"""Open a server-side job by id, returning a handle with its record
already populated.
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 [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("job is not supported for this connection type")
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.
@@ -776,15 +773,6 @@ 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.
Lists history across all jobs when `job_id` is None.
"""
raise NotImplementedError(
"job_history is not supported for this connection type"
)
def execute_query(
self,
query: str,
@@ -1462,14 +1450,11 @@ 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]:
@@ -1493,14 +1478,6 @@ class LanceDBConnection(DBConnection):
"""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.
@@ -1511,14 +1488,6 @@ 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.
@@ -2289,15 +2258,11 @@ 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
@@ -2337,13 +2302,6 @@ class AsyncConnection(object):
"""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.
@@ -2353,13 +2311,6 @@ 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.
Lists history across all jobs when `job_id` is None.
"""
return await self._inner.job_history(job_id)
async def execute_query(
self,
query: str,
+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
+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 -24
View File
@@ -31,7 +31,7 @@ from ..sql import QueryDescription
from ..materialized_view import MaterializedView, SelectArg
if TYPE_CHECKING:
from .._lancedb import JobDescription, JobInfo
from .._lancedb import JobInfo
from ..embeddings import EmbeddingFunctionConfig
from lance_namespace import (
LanceNamespace,
@@ -739,14 +739,11 @@ 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]:
@@ -769,14 +766,6 @@ class RemoteDBConnection(DBConnection):
"""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.
@@ -787,14 +776,6 @@ 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.
Lists history across all jobs when `job_id` is None.
"""
return LOOP.run(self._conn.job_history(job_id))
@override
def execute_query_async(
self,
+117 -15
View File
@@ -2467,7 +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)
@@ -2475,6 +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))
@@ -2512,6 +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()
@@ -2543,7 +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()
@@ -2559,24 +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'",
}
+8 -35
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::{PyAnyMethods, PyDict, PyDictMethods, PyList, PyListMethods},
types::{PyAnyMethods, PyDict, PyDictMethods, PyList},
};
#[pyclass]
@@ -644,9 +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(
@@ -716,38 +715,12 @@ 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]
+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,