fix(python): align sync remote methods with async behavior (#4411)

Sync remote table and connection methods inherited bare base-class
stubs, so unsupported conversion and bulk-drop operations raised
`NotImplementedError` with an empty message and differed from the async
API.

Delegate `to_lance()`, `drop_all_tables()`, and `drop_database()` to the
async implementation. Sync and async remote Lance conversion share
#4306's native-table guard and reject before requesting a URI or opening
client storage. Conversion documentation directs remote reads through
server queries.

Add an explicit Polars error, suggest query conversions in
Arrow/Pandas/Polars errors, and give the remaining base-class errors an
operation name. Preserve upstream `blob_mode` validation for remote
Arrow and Pandas conversion. The shared remote bulk-drop error suggests
dropping tables individually.

Regression tests cover sync/async rejection parity, accessible and
missing advertised locations, pinned versions, and bulk-drop rejection
without requests. Sync blob query tests verify that descriptions come
from the server and unsupported modes cannot open client storage. Keep
the remote closed-blob-handle assertion consistent with the upstream
`ValueError` contract.

Validation:

- All 30 focused regression cases passed.
- 222 Python tests passed with rebuilt bindings in the locked uv
environment: the full remote and error suites, plus selected local
conversion, blob, and deletion tests.
- Python lint and formatting, Rust formatting, `cargo check --quiet
--features remote --tests --examples`, and `cargo clippy --quiet
--features remote --tests --examples` passed.
- Root Ruff checking reports 49 existing errors in upstream
`docs/web-tests`; those files are unchanged relative to `main`.

Fixes #4392

<!-- lance-gatekeeper-fix:v1 agent=95db5dd7002043a2c48924ded18b51b2
generation=1 -->

---------

Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com>
Co-authored-by: Xuanwo <github@xuanwo.io>
This commit is contained in:
lancedb-gatefixer[bot]
2026-10-24 08:25:16 +08:00
committed by GitHub
co-authored by Xuanwo
parent 0dd78656b9
commit dd4795028b
7 changed files with 271 additions and 41 deletions
+24 -7
View File
@@ -548,7 +548,9 @@ class DBConnection(EnforceOverrides):
LanceTable(name='table4', ...)
"""
raise NotImplementedError
raise NotImplementedError(
"create_table is not supported for this connection type"
)
def __getitem__(self, name: str) -> LanceTable:
return self.open_table(name)
@@ -603,7 +605,9 @@ class DBConnection(EnforceOverrides):
-------
A LanceTable object representing the table.
"""
raise NotImplementedError
raise NotImplementedError(
"open_table is not supported for this connection type"
)
def create_materialized_view(
self,
@@ -743,13 +747,17 @@ class DBConnection(EnforceOverrides):
"""
if namespace_path is None:
namespace_path = []
raise NotImplementedError
raise NotImplementedError(
"drop_table is not supported for this connection type"
)
def drop_table_async(
self, name: str, namespace_path: Optional[List[str]] = None
) -> Job:
"""Start dropping a table and return its cleanup job."""
raise NotImplementedError
raise NotImplementedError(
"drop_table_async is not supported for this connection type"
)
def rename_table(
self,
@@ -777,19 +785,26 @@ class DBConnection(EnforceOverrides):
cur_namespace_path = []
if new_namespace_path is None:
new_namespace_path = []
raise NotImplementedError
raise NotImplementedError(
"rename_table is not supported for this connection type"
)
def drop_database(self):
"""
Drop database
This is the same thing as dropping all the tables
"""
raise NotImplementedError
raise NotImplementedError(
"drop_database is not supported for this connection type"
)
def drop_all_tables(self, namespace_path: Optional[List[str]] = None):
"""
Drop all tables from the database
Remote connections do not currently support this operation. Use
``list_tables()`` and ``drop_table()`` to drop tables individually.
Parameters
----------
namespace_path: List[str], optional
@@ -798,7 +813,9 @@ class DBConnection(EnforceOverrides):
"""
if namespace_path is None:
namespace_path = []
raise NotImplementedError
raise NotImplementedError(
"drop_all_tables is not supported for this connection type"
)
@property
def uri(self) -> str:
+14
View File
@@ -841,6 +841,20 @@ class RemoteDBConnection(DBConnection):
job = LOOP.run(self._conn.drop_table_async(name, namespace_path=namespace_path))
return Job(job if isinstance(job, AsyncJob) else AsyncJob(job))
@override
def drop_all_tables(self, namespace_path: Optional[List[str]] = None):
"""Drop all tables from the database.
The remote API does not currently support this operation. Use
``list_tables()`` and ``drop_table()`` to drop tables individually.
"""
LOOP.run(self._conn.drop_all_tables(namespace_path=namespace_path))
@override
def drop_database(self):
"""Deprecated alias for ``drop_all_tables()``."""
LOOP.run(self._conn.drop_database())
@override
def rename_table(
self,
+27 -2
View File
@@ -7,6 +7,7 @@ import logging
from functools import cached_property
import os
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
@@ -82,6 +83,10 @@ from ..table import (
from ..types import BaseTokenizerType
from ..util import infer_vector_column_name
if TYPE_CHECKING:
import lance
import polars as pl
class RemoteTable(Table):
def __init__(
@@ -243,12 +248,32 @@ class RemoteTable(Table):
def to_arrow(self, *, blob_mode: BlobMode = "lazy") -> pa.Table:
"""to_arrow() is not supported for remote tables."""
validate_blob_mode(blob_mode)
raise NotImplementedError("to_arrow() is not supported for remote tables.")
raise NotImplementedError(
"to_arrow() is not supported for remote tables. "
"Use table.search().to_arrow() instead."
)
def to_pandas(self, blob_mode: BlobMode = "lazy", **kwargs):
"""to_pandas() is not supported for remote tables."""
validate_blob_mode(blob_mode)
raise NotImplementedError("to_pandas() is not supported for remote tables.")
raise NotImplementedError(
"to_pandas() is not supported for remote tables. "
"Use table.search().to_pandas() instead."
)
def to_lance(self, **kwargs) -> "lance.LanceDataset":
"""Direct Lance dataset access is not supported for remote tables.
Use ``table.search().to_arrow()`` to read query results through the server.
"""
return LOOP.run(self._table.to_lance(**kwargs))
def to_polars(self, **kwargs) -> "pl.LazyFrame":
"""Use ``table.search().to_polars()`` to read remote query results."""
raise NotImplementedError(
"to_polars() is not supported for remote tables. "
"Use table.search().to_polars() instead."
)
def checkout(self, version: Union[int, str]):
result = LOOP.run(self._table.checkout(version))
+34 -22
View File
@@ -1356,13 +1356,13 @@ class Table(ABC):
@abstractmethod
def name(self) -> str:
"""The name of this Table"""
raise NotImplementedError
raise NotImplementedError("name is not supported for this table type")
@property
@abstractmethod
def version(self) -> int:
"""The version of this Table"""
raise NotImplementedError
raise NotImplementedError("version is not supported for this table type")
@property
@abstractmethod
@@ -1371,7 +1371,7 @@ class Table(ABC):
of this Table
"""
raise NotImplementedError
raise NotImplementedError("schema is not supported for this table type")
@property
@abstractmethod
@@ -1400,7 +1400,7 @@ class Table(ABC):
tags = table.tags.list()
"""
raise NotImplementedError
raise NotImplementedError("tags is not supported for this table type")
@property
def branches(self) -> "Branches":
@@ -1409,11 +1409,11 @@ class Table(ABC):
Branches are isolated, writable lines of history forked from another
branch (or version). Writes on a branch do not affect ``main``.
"""
raise NotImplementedError
raise NotImplementedError("branches is not supported for this table type")
def current_branch(self) -> Optional[str]:
"""The branch this table handle is scoped to, or ``None`` for ``main``."""
raise NotImplementedError
raise NotImplementedError("current_branch is not supported for this table type")
def __len__(self) -> int:
"""The number of rows in this Table"""
@@ -1436,7 +1436,7 @@ class Table(ABC):
filter: str, optional
A SQL where clause to filter the rows to count.
"""
raise NotImplementedError
raise NotImplementedError("count_rows is not supported for this table type")
def to_pandas(self, blob_mode: BlobMode = "lazy", **kwargs) -> "pandas.DataFrame":
"""Return the table as a pandas DataFrame.
@@ -1471,20 +1471,26 @@ class Table(ABC):
-------
pa.Table
"""
raise NotImplementedError
raise NotImplementedError("to_arrow is not supported for this table type")
def to_lance(self, **kwargs) -> lance.LanceDataset:
"""Return the table as a lance.LanceDataset.
"""Return a local table as a lance.LanceDataset.
Remote tables cannot be opened as Lance datasets by the client. Use
``table.search().to_arrow()`` to read them through the server.
Returns
-------
lance.LanceDataset
"""
raise NotImplementedError
raise NotImplementedError("to_lance is not supported for this table type")
def to_polars(self, **kwargs) -> "pl.LazyFrame":
"""Return the table as a Polars LazyFrame.
For remote tables, use ``table.search().to_polars()`` to convert query
results to a Polars DataFrame.
Note
----
The Polars streaming engine is not supported because it does not currently
@@ -1495,7 +1501,7 @@ class Table(ABC):
-------
polars.LazyFrame
"""
raise NotImplementedError
raise NotImplementedError("to_polars is not supported for this table type")
# New unified API overload
@overload
@@ -1600,7 +1606,7 @@ class Table(ABC):
... "l2", vector_column_name="vector"
... )
"""
raise NotImplementedError
raise NotImplementedError("create_index is not supported for this table type")
def create_index_async(
self,
@@ -1618,7 +1624,9 @@ class Table(ABC):
be complete when returned; callers must not assume the index exists
until :meth:`Job.wait` returns.
"""
raise NotImplementedError
raise NotImplementedError(
"create_index_async is not supported for this table type"
)
def drop_index(self, name: str) -> None:
"""
@@ -1638,7 +1646,7 @@ class Table(ABC):
Use [list_indices][lancedb.table.Table.list_indices] to find the names of
the indices.
"""
raise NotImplementedError
raise NotImplementedError("drop_index is not supported for this table type")
def wait_for_index(
self, index_names: Iterable[str], timeout: timedelta = timedelta(seconds=300)
@@ -1655,14 +1663,14 @@ class Table(ABC):
timeout: timedelta
Timeout to wait for asynchronous indexing. The default is 5 minutes.
"""
raise NotImplementedError
raise NotImplementedError("wait_for_index is not supported for this table type")
@abstractmethod
def stats(self) -> TableStatistics:
"""
Retrieve table and fragment statistics.
"""
raise NotImplementedError
raise NotImplementedError("stats is not supported for this table type")
@abstractmethod
def create_scalar_index(
@@ -1727,7 +1735,9 @@ class Table(ABC):
``my_col = 0 OR not_indexed = 1`` will not be able to use any scalar index on
``my_col``.
"""
raise NotImplementedError
raise NotImplementedError(
"create_scalar_index is not supported for this table type"
)
def create_fts_index(
self,
@@ -1853,7 +1863,9 @@ class Table(ABC):
``LANCE_LANGUAGE_MODEL_HOME`` to override the default platform data
directory under ``lance/language_models``.
"""
raise NotImplementedError
raise NotImplementedError(
"create_fts_index is not supported for this table type"
)
@abstractmethod
def add(
@@ -1927,7 +1939,7 @@ class Table(ABC):
AddResult
An object containing the new version number of the table after adding data.
"""
raise NotImplementedError
raise NotImplementedError("add is not supported for this table type")
def merge_insert(self, on: Union[str, Iterable[str]]) -> LanceMergeInsertBuilder:
"""
@@ -2079,7 +2091,7 @@ class Table(ABC):
- and also the "_distance" column which is the distance between the query
vector and the returned vector.
"""
raise NotImplementedError
raise NotImplementedError("search is not supported for this table type")
@abstractmethod
def take_offsets(
@@ -2365,7 +2377,7 @@ class Table(ABC):
x vector
0 3 [5.0, 6.0]
"""
raise NotImplementedError
raise NotImplementedError("delete is not supported for this table type")
@abstractmethod
def update(
@@ -2432,7 +2444,7 @@ class Table(ABC):
1 4 [5.0, 6.0]
2 3 [10.0, 10.0]
"""
raise NotImplementedError
raise NotImplementedError("update is not supported for this table type")
@abstractmethod
def cleanup_old_versions(
+21
View File
@@ -3,7 +3,28 @@
import pickle
import pytest
from lancedb.db import DBConnection
from lancedb.remote.errors import HttpError, LanceDBClientError, RetryError
from lancedb.table import Table
@pytest.mark.parametrize(
"base, method",
[
(Table, "to_lance"),
(Table, "to_polars"),
(DBConnection, "drop_all_tables"),
(DBConnection, "drop_database"),
],
)
def test_base_unsupported_methods_have_messages(base, method):
with pytest.raises(NotImplementedError) as exc_info:
getattr(base, method)(None)
message = str(exc_info.value)
assert method in message
assert "not supported" in message
def test_pickle_lancedb_client_error():
+148 -9
View File
@@ -857,10 +857,116 @@ def test_table_unimplemented_functions():
with mock_lancedb_connection(handler) as db:
table = db.create_table("test", [{"id": 1}])
with pytest.raises(NotImplementedError):
table.to_arrow()
with pytest.raises(NotImplementedError):
table.to_pandas()
for method in ["to_arrow", "to_pandas", "to_polars"]:
with pytest.raises(NotImplementedError) as exc_info:
getattr(table, method)()
message = str(exc_info.value)
assert method in message
assert "not" in message and "supported" in message
assert "remote tables" in message
assert "cloud" not in message.lower()
assert f"search().{method}()" in message
@pytest.mark.parametrize("method", ["to_arrow", "to_pandas"])
@pytest.mark.parametrize("blob_mode", ["lazy", "descriptions", "bytes", "invalid"])
def test_remote_conversion_blob_mode_errors(method, blob_mode):
with blob_remote_table() as table:
if blob_mode == "invalid":
with pytest.raises(ValueError, match="blob_mode must be one of"):
getattr(table, method)(blob_mode=blob_mode)
else:
with pytest.raises(NotImplementedError) as error:
getattr(table, method)(blob_mode=blob_mode)
assert f"search().{method}()" in str(error.value)
@pytest.mark.asyncio
@pytest.mark.parametrize("version", [None, 1])
@pytest.mark.parametrize("expose_location", [False, True])
async def test_remote_to_lance_rejection(
tmp_path, version, expose_location, monkeypatch
):
import lance
location = tmp_path / "test.lance"
lance.write_dataset(pa.table({"id": [1]}), location)
lance.write_dataset(pa.table({"id": [2]}), location, mode="append")
requests = []
def fail_dataset(*args, **kwargs):
raise AssertionError("remote storage must not be opened")
monkeypatch.setattr(lance, "dataset", fail_dataset)
def handler(request):
requests.append(request.path)
assert request.path == "/v1/table/test/describe/"
content_len = int(request.headers.get("Content-Length", 0))
body = json.loads(request.rfile.read(content_len)) if content_len else {}
request.send_response(200)
request.send_header("Content-Type", "application/json")
request.end_headers()
response = {
"version": body.get("version") or 2,
"schema": {"fields": []},
}
if expose_location:
response["location"] = str(location)
request.wfile.write(json.dumps(response).encode())
options = {"default_scan_options": {"with_row_id": True}}
with mock_lancedb_connection(handler) as db:
table = db.open_table("test", version=version)
opened_requests = list(requests)
with pytest.raises(NotImplementedError) as sync_error:
table.to_lance(**options)
assert requests == opened_requests
async with mock_lancedb_connection_async(handler) as db:
table = await db.open_table("test", version=version)
opened_requests = list(requests)
with pytest.raises(NotImplementedError) as async_error:
await table.to_lance(**options)
assert requests == opened_requests
assert "to_lance() is not supported for remote tables" in str(sync_error.value)
assert "query the server" in str(sync_error.value)
assert str(sync_error.value) == str(async_error.value)
@pytest.mark.asyncio
@pytest.mark.parametrize(
"method, kwargs",
[
("drop_all_tables", {}),
("drop_all_tables", {"namespace_path": []}),
("drop_all_tables", {"namespace_path": ["team"]}),
("drop_database", {}),
],
)
async def test_remote_drop_all_tables_not_supported(method, kwargs):
requests = []
def handler(request):
requests.append(request.path)
request.send_response(500)
request.end_headers()
with mock_lancedb_connection(handler) as db:
with pytest.raises(NotImplementedError) as sync_error:
getattr(db, method)(**kwargs)
async with mock_lancedb_connection_async(handler) as db:
with pytest.raises(NotImplementedError) as async_error:
await getattr(db, method)(**kwargs)
assert "Dropping all tables is not currently supported in the remote API" in str(
sync_error.value
)
assert "drop_table" in str(sync_error.value)
assert str(sync_error.value) == str(async_error.value)
assert requests == []
def test_table_to_pandas_not_supported():
@@ -1681,10 +1787,13 @@ def test_remote_python_only_messages(caplog):
table = db.open_table("test", storage_options={}, index_cache_size=1)
assert "storage_options is ignored for remote tables" in caplog.text
assert "index_cache_size is ignored for remote tables" in caplog.text
for method in ["to_arrow", "to_pandas"]:
for method in ["to_arrow", "to_pandas", "to_polars"]:
with pytest.raises(NotImplementedError) as error:
getattr(table, method)()
assert str(error.value) == f"{method}() is not supported for remote tables."
assert str(error.value) == (
f"{method}() is not supported for remote tables. "
f"Use table.search().{method}() instead."
)
for method in ["compact_files", "cleanup_old_versions"]:
with pytest.warns(UserWarning) as warning:
getattr(table, method)()
@@ -3490,14 +3599,17 @@ def blob_descriptor_take_table():
@contextlib.contextmanager
def blob_remote_table(*, server_version=Version("0.5.0")):
def blob_remote_table(*, server_version=Version("0.5.0"), location=None):
def handler(request):
if request.path == "/v1/table/test/describe/":
request.send_response(200)
request.send_header("Content-Type", "application/json")
request.send_header("phalanx-version", str(server_version))
request.end_headers()
request.wfile.write(json.dumps(BLOB_DESCRIBE_RESPONSE).encode())
response = dict(BLOB_DESCRIBE_RESPONSE)
if location is not None:
response["location"] = str(location)
request.wfile.write(json.dumps(response).encode())
elif request.path.startswith("/v1/table/test/blob/image/"):
path = request.path.partition("?")[0]
row_id = int(path.split("/")[-2])
@@ -3532,7 +3644,6 @@ def blob_remote_table(*, server_version=Version("0.5.0")):
if columns == ["id"]:
response_table = blob_query_response_table().select(["id"])
else:
assert body["with_row_id"] is True
if columns == ["image"]:
# Blob handles are sized from a descriptor take.
assert body["filter"].startswith("_rowid IN")
@@ -3545,6 +3656,8 @@ def blob_remote_table(*, server_version=Version("0.5.0")):
)
else:
response_table = blob_query_response_table()
if not body.get("with_row_id", False):
response_table = response_table.drop(["_rowid"])
request.send_response(200)
request.send_header("Content-Type", "application/vnd.apache.arrow.file")
request.send_header("x-lancedb-version", "1")
@@ -3579,6 +3692,32 @@ def test_remote_blob_columns_and_fetch():
assert blobs.to_pylist() == [b"alpha", None, b"gamma"]
@pytest.mark.parametrize("blob_mode", ["descriptions", "bytes", "lazy"])
def test_sync_remote_blob_pandas_avoids_storage_access(
tmp_path, monkeypatch, blob_mode
):
import lance
location = tmp_path / "remote.lance"
lance.write_dataset(pa.table({"id": [7], "image": [b"server-owned"]}), location)
def fail_dataset(*args, **kwargs):
raise AssertionError("remote storage must not be opened")
monkeypatch.setattr(lance, "dataset", fail_dataset)
with blob_remote_table(location=location) as table:
monkeypatch.setattr(table, "to_lance", fail_dataset)
query = table.search().select(["id", "image"])
if blob_mode == "descriptions":
df = query.to_pandas(blob_mode=blob_mode)
assert df["id"].tolist() == [1, 2, 3]
assert "_rowid" not in df.columns
assert df["image"][0]["size"] == 5
else:
with pytest.raises(NotImplementedError, match="stable table snapshot"):
query.to_pandas(blob_mode=blob_mode)
@pytest.mark.asyncio
@pytest.mark.parametrize("use_async", [False, True])
async def test_remote_fetch_blob_ranges(use_async):
+3 -1
View File
@@ -1707,7 +1707,9 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
// TODO: Implement namespace-aware drop_all_tables
let _namespace_path = namespace_path; // Suppress unused warning for now
Err(crate::Error::NotSupported {
message: "Dropping all tables is not currently supported in the remote API".to_string(),
message: "Dropping all tables is not currently supported in the remote API. \
List tables and call drop_table for each table instead."
.to_string(),
})
}