Merge main into gatekeeper/fix-4272-1 and preserve query validation

python/python/lancedb/db.py

@@ -122,7 +122,48 @@ def _view_description(
 
 
 class DBConnection(EnforceOverrides):
-    """An active LanceDB connection interface."""
+    """An active LanceDB connection interface.
+
+    Use [close][lancedb.db.DBConnection.close] to release the connection's
+    underlying resources, or use the connection as a context manager to close it
+    automatically when leaving the block, including when an exception is raised.
+
+    Examples
+    --------
+    >>> import lancedb
+    >>> with lancedb.connect("memory://") as db:
+    ...     assert db.is_open()
+    >>> db.is_open()
+    False
+    """
+
+    def __enter__(self) -> DBConnection:
+        return self
+
+    def __exit__(self, *_) -> None:
+        self.close()
+
+    @abstractmethod
+    def is_open(self) -> bool:
+        """Return True if the connection is open."""
+        pass
+
+    @abstractmethod
+    def close(self) -> None:
+        """Close the connection, releasing any underlying resources.
+
+        It is safe to call this method multiple times. Database operations on a
+        closed connection raise ``RuntimeError: Connection is closed``.
+
+        Examples
+        --------
+        >>> import lancedb
+        >>> db = lancedb.connect("memory://")
+        >>> db.close()
+        >>> db.is_open()
+        False
+        """
+        pass
 
     def list_namespaces(
         self,
@@ -368,9 +409,10 @@ class DBConnection(EnforceOverrides):
             - [LanceModel][lancedb.pydantic.LanceModel]
         mode: str; default "create"
             The mode to use when creating the table.
-            Can be either "create" or "overwrite".
+            Can be "create", "overwrite", or "exist_ok".
             By default, if the table already exists, an exception is raised.
             If you want to overwrite the table, use mode="overwrite".
+            To open an existing table without adding data, use mode="exist_ok".
         exist_ok: bool, default False
             If a table by the same name already exists, then raise an exception
             if exist_ok=False. If exist_ok=True, then open the existing table;
@@ -1275,6 +1317,14 @@ class LanceDBConnection(DBConnection):
     def __repr__(self) -> str:
         return f"{self.__class__.__name__}(uri={self._conn.uri!r})"
 
+    @override
+    def is_open(self) -> bool:
+        return self._conn.is_open()
+
+    @override
+    def close(self) -> None:
+        self._conn.close()
+
     @override
     def serialize(self) -> str:
         import json
@@ -1497,8 +1547,6 @@ class LanceDBConnection(DBConnection):
         """
         if namespace_path is None:
             namespace_path = []
-        if mode.lower() not in ["create", "overwrite"]:
-            raise ValueError("mode must be either 'create' or 'overwrite'")
         validate_table_name(name)
 
         tbl = LanceTable.create(
@@ -2301,11 +2349,12 @@ class AsyncConnection(object):
             - pyarrow.Schema
 
             - [LanceModel][lancedb.pydantic.LanceModel]
-        mode: Literal["create", "overwrite"]; default "create"
+        mode: Literal["create", "overwrite", "exist_ok"]; default "create"
             The mode to use when creating the table.
-            Can be either "create" or "overwrite".
+            Can be "create", "overwrite", or "exist_ok".
             By default, if the table already exists, an exception is raised.
             If you want to overwrite the table, use mode="overwrite".
+            To open an existing table without adding data, use mode="exist_ok".
         exist_ok: bool, default False
             If a table by the same name already exists, then raise an exception
             if exist_ok=False. If exist_ok=True, then open the existing table;

python/python/lancedb/namespace.py

@@ -489,6 +489,14 @@ class LanceNamespaceDBConnection(DBConnection):
             )
         self._uri = self._inner.uri
 
+    @override
+    def is_open(self) -> bool:
+        return self._inner.is_open()
+
+    @override
+    def close(self) -> None:
+        self._inner.close()
+
     @override
     def serialize(self) -> str:
         import json

python/python/lancedb/query.py

@@ -40,7 +40,7 @@ from .rerankers.base import Reranker
 from .rerankers.rrf import RRFReranker
 from .rerankers.util import check_reranker_result
 from .schema import blob_column_paths, is_blob_like_field, schema_has_blob_field
-from .util import flatten_columns
+from .util import _validate_query_vector, flatten_columns
 from . import _wal_hybrid  # WAL-PK-FUSION: delete.
 from ._blob import (
     BLOB_MODE_TO_HANDLING,
@@ -908,6 +908,9 @@ class LanceQueryBuilder(ABC):
         fast_search: bool
             Skip flat search of unindexed data.
         """
+        if query_type != "fts":
+            _validate_query_vector(query)
+
         if ordering_field_name is not None:
             import warnings
 
@@ -1620,6 +1623,7 @@ class LanceVectorQueryBuilder(LanceQueryBuilder):
         str_query: Optional[str] = None,
         fast_search: bool = None,
     ):
+        _validate_query_vector(query)
         super().__init__(table)
         self._query = query
         self._distance_type = None
@@ -1694,13 +1698,15 @@ class LanceVectorQueryBuilder(LanceQueryBuilder):
         Parameters
         ----------
         nprobes: int
-            The number of probes to use.
+            The number of probes to use. Must be greater than 0.
 
         Returns
         -------
         LanceVectorQueryBuilder
             The LanceQueryBuilder object.
         """
+        if nprobes <= 0:
+            raise ValueError("Invalid input, nprobes must be greater than 0")
         self._minimum_nprobes = nprobes
         self._maximum_nprobes = nprobes
         return self
@@ -2496,13 +2502,15 @@ class LanceHybridQueryBuilder(LanceQueryBuilder):
         Parameters
         ----------
         nprobes: int
-            The number of probes to use.
+            The number of probes to use. Must be greater than 0.
 
         Returns
         -------
         LanceHybridQueryBuilder
             The LanceHybridQueryBuilder object.
         """
+        if nprobes <= 0:
+            raise ValueError("Invalid input, nprobes must be greater than 0")
         self._minimum_nprobes = nprobes
         self._maximum_nprobes = nprobes
         return self
@@ -3686,6 +3694,8 @@ class AsyncVectorQueryBase:
         """
         Set the number of partitions to search (probe)
 
+        The number of probes must be greater than 0.
+
         This argument is only used when the vector column has an IVF-based index.
         If there is no index then this value is ignored.
 

python/python/lancedb/remote/db.py

@@ -1054,6 +1054,10 @@ class RemoteDBConnection(DBConnection):
         """
         return LOOP.run(self._conn.namespace_client())
 
-    async def close(self):
-        """Close the connection to the database."""
+    @override
+    def is_open(self) -> bool:
+        return self._conn.is_open()
+
+    @override
+    def close(self) -> None:
         self._conn.close()

python/python/lancedb/table.py

@@ -2617,6 +2617,10 @@ class Table(ABC):
                 to nullable. Currently, you cannot change a nullable column to
                 non-nullable.
 
+            Each alteration must specify at least one of "rename", "data_type",
+            or "nullable". The legacy key "name" is also accepted for renaming.
+            Unknown keys raise ValueError before any alterations are applied.
+
         Returns
         -------
         AlterColumnsResult
@@ -4332,9 +4336,9 @@ class LanceTable(Table):
             )
             if storage_options is None:
                 storage_options = {}
-            storage_options["new_table_enable_v2_manifest_paths"] = (
+            storage_options["new_table_enable_v2_manifest_paths"] = str(
                 enable_v2_manifest_paths
-            )
+            ).lower()
 
         self._table = LOOP.run(
             self._conn._conn.create_table(
@@ -4766,7 +4770,7 @@ class LanceTable(Table):
         [LanceTable.uses_v2_manifest_paths][lancedb.table.LanceTable.uses_v2_manifest_paths]
         to check if the table is already using the new path style.
         """
-        LOOP.run(self._table.migrate_v2_manifest_paths())
+        LOOP.run(self._table.migrate_manifest_paths_v2())
 
     @deprecation.deprecated(
         deprecated_in="0.33.1",
@@ -6122,7 +6126,17 @@ class AsyncTable:
     @overload
     async def search(
         self,
-        query: Optional[str] = None,
+        query: None = None,
+        vector_column_name: Optional[str] = None,
+        query_type: QueryType = "auto",
+        ordering_field_name: Optional[str] = None,
+        fts_columns: Optional[Union[str, List[str]]] = None,
+    ) -> AsyncQuery: ...
+
+    @overload
+    async def search(
+        self,
+        query: str,
         vector_column_name: Optional[str] = None,
         query_type: Literal["auto"] = ...,
         ordering_field_name: Optional[str] = None,
@@ -6132,7 +6146,7 @@ class AsyncTable:
     @overload
     async def search(
         self,
-        query: Optional[str] = None,
+        query: str,
         vector_column_name: Optional[str] = None,
         query_type: Literal["hybrid"] = ...,
         ordering_field_name: Optional[str] = None,
@@ -6142,7 +6156,7 @@ class AsyncTable:
     @overload
     async def search(
         self,
-        query: Optional[Union[VEC, "PIL.Image.Image", Tuple]] = None,
+        query: Union[VEC, "PIL.Image.Image", Tuple],
         vector_column_name: Optional[str] = None,
         query_type: Literal["auto"] = ...,
         ordering_field_name: Optional[str] = None,
@@ -6152,7 +6166,7 @@ class AsyncTable:
     @overload
     async def search(
         self,
-        query: Optional[str] = None,
+        query: str,
         vector_column_name: Optional[str] = None,
         query_type: Literal["fts"] = ...,
         ordering_field_name: Optional[str] = None,
@@ -6162,9 +6176,7 @@ class AsyncTable:
     @overload
     async def search(
         self,
-        query: Optional[
-            Union[VEC, str, "PIL.Image.Image", Tuple, FullTextQuery]
-        ] = None,
+        query: Union[VEC, str, "PIL.Image.Image", Tuple, FullTextQuery],
         vector_column_name: Optional[str] = None,
         query_type: Literal["vector"] = ...,
         ordering_field_name: Optional[str] = None,
@@ -6180,7 +6192,7 @@ class AsyncTable:
         query_type: QueryType = "auto",
         ordering_field_name: Optional[str] = None,
         fts_columns: Optional[Union[str, List[str]]] = None,
-    ) -> Union[AsyncHybridQuery, AsyncFTSQuery, AsyncVectorQuery]:
+    ) -> Union[AsyncQuery, AsyncHybridQuery, AsyncFTSQuery, AsyncVectorQuery]:
         """Create a search query to find the nearest neighbors
         of the given query vector. We currently support [vector search](https://lancedb.com/docs/search/vector-search/)
         and [full-text search](https://lancedb.com/docs/search/full-text-search/).
@@ -6195,8 +6207,9 @@ class AsyncTable:
             - *default None*.
             Acceptable types are: list, np.ndarray, PIL.Image.Image
 
-            - If None then the select/where/limit clauses are applied to filter
-            the table
+            - If None then a plain [AsyncQuery][lancedb.query.AsyncQuery] is
+            returned, equivalent to calling [query][lancedb.table.AsyncTable.query].
+            The select/where/limit clauses are applied to filter the table.
         vector_column_name: str, optional
             The name of the vector column to search.
 
@@ -6224,10 +6237,13 @@ class AsyncTable:
 
         Returns
         -------
-        LanceQueryBuilder
+        AsyncQuery, AsyncHybridQuery, AsyncFTSQuery, or AsyncVectorQuery
             A query builder object representing the query.
         """
 
+        if query is None:
+            return self.query()
+
         def is_embedding(query):
             return isinstance(query, (list, np.ndarray, pa.Array, pa.ChunkedArray))
 
@@ -6877,6 +6893,10 @@ class AsyncTable:
                 to nullable. Currently, you cannot change a nullable column to
                 non-nullable.
 
+            Each alteration must specify at least one of "rename", "data_type",
+            or "nullable". The legacy key "name" is also accepted for renaming.
+            Unknown keys raise ValueError before any alterations are applied.
+
         Returns
         -------
         AlterColumnsResult

python/python/lancedb/util.py

@@ -280,6 +280,14 @@ def infer_vector_column_dim(data_type: pa.DataType) -> Optional[int]:
     return None
 
 
+def _validate_query_vector(query: Any) -> None:
+    """Reject empty vector inputs before vector-column inference or execution."""
+    if (isinstance(query, list) and not query) or (
+        isinstance(query, np.ndarray) and query.size == 0
+    ):
+        raise ValueError("Query vector must not be empty")
+
+
 def _query_vector_dim(query: Optional[Any]) -> Optional[int]:
     if query is None:
         return None
@@ -301,6 +309,9 @@ def infer_vector_column_name(
     query: Optional[Any],  # inferred later in query builder
     vector_column_name: Optional[str],
 ):
+    if query_type != "fts":
+        _validate_query_vector(query)
+
     if vector_column_name is not None:
         return vector_column_name
 

python/python/tests/test_db.py

@@ -2,6 +2,7 @@
 # SPDX-FileCopyrightText: Copyright The LanceDB Authors
 
 
+import contextlib
 import inspect
 import re
 import sys
@@ -350,6 +351,40 @@ async def test_create_table_from_iterator_async(mem_db_async: lancedb.AsyncConne
     assert await table.count_rows() == 10
 
 
+def test_create_exist_ok_mode(tmp_db: lancedb.DBConnection):
+    db = tmp_db
+    data = [{"vector": [1.1, 1.2]}, {"vector": [0.2, 1.8]}]
+    table = db.create_table("t1", data, mode="exist_ok")
+    assert table.count_rows() == 2
+    original = table.to_arrow()
+
+    reopened = db.create_table("t1", [{"vector": [9.0, 8.0]}], mode="exist_ok")
+    assert reopened.to_arrow().equals(original)
+
+
+def test_create_empty_exist_ok_mode(tmp_db: lancedb.DBConnection):
+    schema = pa.schema([pa.field("id", pa.int64())])
+    table = tmp_db.create_table("empty", schema=schema, mode="exist_ok")
+    assert table.schema == schema
+    assert table.count_rows() == 0
+    table.add([{"id": 7}])
+
+    reopened = tmp_db.create_table("empty", schema=schema, mode="exist_ok")
+    assert reopened.to_arrow().to_pylist() == [{"id": 7}]
+
+    bad_schema = pa.schema([pa.field("other", pa.int64())])
+    with pytest.raises(ValueError):
+        tmp_db.create_table("empty", schema=bad_schema, mode="exist_ok")
+
+
+def test_create_table_invalid_mode(tmp_db: lancedb.DBConnection):
+    db = tmp_db
+    data = [{"vector": [1.1, 1.2]}, {"vector": [0.2, 1.8]}]
+    with pytest.raises(ValueError, match="Invalid mode bogus"):
+        db.create_table("tb", data, mode="bogus")
+    assert "tb" not in db
+
+
 def test_create_exist_ok(tmp_db: lancedb.DBConnection):
     from conftest import pandas_string_type
 
@@ -405,6 +440,49 @@ async def test_connect(tmp_path):
     assert str(db) == f"ListingDatabase(uri={tmp_path}, read_consistency_interval=5s)"
 
 
+@pytest.fixture(params=["memory", "local", "namespace", "from_inner"])
+def sync_db(request, tmp_path):
+    if request.param == "memory":
+        return lancedb.connect("memory://")
+    if request.param == "namespace":
+        return lancedb.connect_namespace("dir", {"root": str(tmp_path)})
+    db = lancedb.connect(tmp_path)
+    if request.param == "from_inner":
+        return lancedb.db.LanceDBConnection.from_inner(db._inner, None)
+    return db
+
+
+def test_sync_close(sync_db):
+    assert sync_db.is_open()
+    assert sync_db.close() is None
+    assert not sync_db.is_open()
+    assert sync_db.close() is None
+
+    with pytest.warns(DeprecationWarning, match="table_names"):
+        with pytest.raises(RuntimeError, match="Connection is closed"):
+            sync_db.table_names()
+    with pytest.raises(RuntimeError, match="Connection is closed"):
+        sync_db.list_tables()
+    with pytest.raises(RuntimeError, match="Connection is closed"):
+        sync_db.open_table("test")
+
+
+@pytest.mark.parametrize("raise_error", [False, True])
+def test_sync_context_manager(sync_db, raise_error):
+    with contextlib.ExitStack() as stack:
+        if raise_error:
+            stack.enter_context(pytest.raises(ValueError, match="test error"))
+        with sync_db as db:
+            assert db is sync_db
+            assert db.is_open()
+            if raise_error:
+                raise ValueError("test error")
+
+    assert not sync_db.is_open()
+    with pytest.raises(RuntimeError, match="Connection is closed"):
+        sync_db.list_tables()
+
+
 @pytest.mark.asyncio
 async def test_close(mem_db_async: lancedb.AsyncConnection):
     assert mem_db_async.is_open()
@@ -495,6 +573,27 @@ async def test_create_exist_ok_async(tmp_db_async: lancedb.AsyncConnection):
     #     await db.create_table("test", schema=bad_schema, exist_ok=True)
 
 
+@pytest.mark.parametrize("enable_v2_manifest_paths", [False, True])
+@pytest.mark.parametrize("empty", [False, True])
+def test_create_table_deprecated_v2_manifest_paths(
+    tmp_path, enable_v2_manifest_paths, empty
+):
+    db = lancedb.connect(tmp_path)
+    data = None if empty else [{"id": 1}]
+
+    with pytest.warns(DeprecationWarning, match="enable_v2_manifest_paths"):
+        table = db.create_table(
+            "test",
+            data=data,
+            schema=pa.schema([("id", pa.int64())]),
+            enable_v2_manifest_paths=enable_v2_manifest_paths,
+        )
+
+    assert table.uses_v2_manifest_paths() == enable_v2_manifest_paths
+    assert table.to_arrow().to_pylist() == ([] if empty else data)
+    assert db.open_table("test").uses_v2_manifest_paths() == enable_v2_manifest_paths
+
+
 @pytest.mark.asyncio
 async def test_create_table_v2_manifest_paths_async(tmp_path):
     db_with_v2_paths = await lancedb.connect_async(

python/python/tests/test_query.py

@@ -24,6 +24,7 @@ from lancedb.pydantic import LanceModel, Vector
 from lancedb.query import (
     AsyncFTSQuery,
     AsyncHybridQuery,
+    AsyncQuery,
     AsyncQueryBase,
     AsyncVectorQuery,
     ColumnOrdering,
@@ -974,6 +975,19 @@ def test_query_builder_with_filter(table):
     assert all(np.array(rs[0]["vector"]) == [3, 4])
 
 
+@pytest.mark.parametrize("query_type", ["vector", "hybrid"])
+@pytest.mark.parametrize("nprobes", [0, -1])
+def test_nprobes_nonpositive_sync(table, query_type, nprobes):
+    if query_type == "hybrid":
+        query = table.search(query_type="hybrid").vector([0, 0]).text("a")
+    else:
+        query = table.search([0, 0])
+    with pytest.raises(
+        ValueError, match="^Invalid input, nprobes must be greater than 0$"
+    ):
+        query.nprobes(nprobes)
+
+
 def test_invalid_nprobes_sync(table):
     with pytest.raises(ValueError, match="minimum_nprobes must be greater than 0"):
         LanceVectorQueryBuilder(table, [0, 0], "vector").minimum_nprobes(0).to_list()
@@ -1005,6 +1019,18 @@ def test_multiple_nprobes_calls_works_sync(table):
     ).minimum_nprobes(20).to_list()
 
 
+@pytest.mark.asyncio
+@pytest.mark.parametrize("hybrid", [False, True])
+async def test_nprobes_zero_async(table_async: AsyncTable, hybrid):
+    query = table_async.query().nearest_to([0, 0])
+    if hybrid:
+        query = query.nearest_to_text("dog")
+    with pytest.raises(
+        ValueError, match="^Invalid input, nprobes must be greater than 0$"
+    ):
+        query.nprobes(0)
+
+
 @pytest.mark.asyncio
 async def test_invalid_nprobes_async(table_async: AsyncTable):
     with pytest.raises(ValueError, match="minimum_nprobes must be greater than 0"):
@@ -1279,6 +1305,27 @@ async def test_query_to_polars_async(table_async: AsyncTable):
     assert df.shape == (0, num_columns)
 
 
+@pytest.mark.asyncio
+@pytest.mark.parametrize("search_kwargs", [{}, {"query": None}])
+@pytest.mark.parametrize("with_vector", [False, True])
+async def test_async_search_without_query(mem_db_async, search_kwargs, with_vector):
+    data = [{"id": i} for i in range(10)]
+    if with_vector:
+        for row in data:
+            row["vector"] = [float(row["id"]), 1.0]
+    table = await mem_db_async.create_table("test", data)
+
+    query = await table.search(**search_kwargs)
+    assert isinstance(query, AsyncQuery)
+    assert await query.limit(3).to_arrow() == await table.query().limit(3).to_arrow()
+
+    query = await table.search(**search_kwargs)
+    assert await query.where("id >= 8").select(["id"]).limit(3).to_list() == [
+        {"id": 8},
+        {"id": 9},
+    ]
+
+
 @pytest.mark.asyncio
 async def test_none_query(table_async: AsyncTable):
     with pytest.raises(ValueError):
@@ -2091,6 +2138,12 @@ def test_ensure_vector_query_nested_empty_list():
         ensure_vector_query([[]])
 
 
+@pytest.mark.parametrize("query", [[], np.array([], dtype=np.float32)])
+def test_vector_query_builder_empty_vector(table, query):
+    with pytest.raises(ValueError, match="^Query vector must not be empty$"):
+        LanceVectorQueryBuilder(table, query, "vector")
+
+
 def test_fast_search(tmp_path):
     db = lancedb.connect(tmp_path)
 

python/python/tests/test_remote_db.py

@@ -16,8 +16,9 @@ import uuid
 from packaging.version import Version
 
 import lancedb
+import numpy as np
 from lancedb.conftest import MockTextEmbeddingFunction
-from lancedb.query import ColumnOrdering
+from lancedb.query import AsyncQuery, ColumnOrdering
 from lancedb.remote import ClientConfig
 from lancedb.remote.errors import HttpError, RetryError
 import pytest
@@ -119,6 +120,77 @@ async def test_async_remote_db():
         assert table_names == []
 
 
+@pytest.mark.parametrize(
+    "alteration, match",
+    [
+        ({"path": "id"}, "One of rename, nullable or data_type"),
+        (
+            {"path": "id", "nulable": False},  # spellchecker:disable-line
+            "Unknown column alteration key 'nulable'",  # spellchecker:disable-line
+        ),
+        (
+            {
+                "path": "id",
+                "rename": "new_id",
+                "nulable": False,  # spellchecker:disable-line
+            },
+            "Unknown column alteration key 'nulable'",  # spellchecker:disable-line
+        ),
+    ],
+)
+def test_remote_alter_columns_rejects_invalid_before_request(alteration, match):
+    requests = []
+
+    def handler(request):
+        requests.append(request.path)
+        request.send_response(200)
+        request.send_header("Content-Type", "application/json")
+        request.end_headers()
+        request.wfile.write(b'{"version": 1, "schema": {"fields": []}}')
+
+    with mock_lancedb_connection(handler) as db:
+        table = db.open_table("test")
+        requests.clear()
+
+        with pytest.raises(ValueError, match=match):
+            table.alter_columns(alteration)
+
+        assert requests == []
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "alteration, match",
+    [
+        ({"path": "id"}, "One of rename, nullable or data_type"),
+        (
+            {"path": "id", "nulable": False},  # spellchecker:disable-line
+            "Unknown column alteration key 'nulable'",  # spellchecker:disable-line
+        ),
+    ],
+)
+async def test_async_remote_alter_columns_rejects_invalid_before_request(
+    alteration, match
+):
+    requests = []
+
+    def handler(request):
+        requests.append(request.path)
+        request.send_response(200)
+        request.send_header("Content-Type", "application/json")
+        request.end_headers()
+        request.wfile.write(b'{"version": 1, "schema": {"fields": []}}')
+
+    async with mock_lancedb_connection_async(handler) as db:
+        table = await db.open_table("test")
+        requests.clear()
+
+        with pytest.raises(ValueError, match=match):
+            await table.alter_columns(alteration)
+
+        assert requests == []
+
+
 @pytest.mark.asyncio
 async def test_async_checkout():
     def handler(request):
@@ -1521,6 +1593,60 @@ def test_query_sync_empty_query():
         assert data == expected
 
 
+@pytest.mark.parametrize("query", [[], np.array([], dtype=np.float32)])
+@pytest.mark.parametrize("vector_column_name", [None, "vector"])
+@pytest.mark.parametrize("query_type", ["auto", "vector"])
+def test_query_sync_empty_vector(query, vector_column_name, query_type):
+    def handler(body):
+        pytest.fail("An empty query vector must be rejected before sending a query")
+
+    with query_test_table(handler) as table:
+        with pytest.raises(ValueError, match="^Query vector must not be empty$"):
+            table.search(
+                query, vector_column_name=vector_column_name, query_type=query_type
+            ).limit(3).to_arrow()
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("search_kwargs", [{}, {"query": None}])
+async def test_async_search_without_query(search_kwargs):
+    expected = pa.table({"id": [7, 8, 9]})
+
+    def handler(request):
+        if request.path == "/v1/table/test/describe/":
+            request.send_response(200)
+            request.send_header("Content-Type", "application/json")
+            request.end_headers()
+            request.wfile.write(b'{"version": 1, "schema": {"fields": []}}')
+        elif request.path == "/v1/table/test/query/":
+            body = json.loads(
+                request.rfile.read(int(request.headers["Content-Length"]))
+            )
+            assert body == {
+                "k": 3,
+                "filter": "id >= 7",
+                "vector": [],
+                "columns": ["id"],
+                "prefilter": True,
+                "version": None,
+            }
+            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=expected.schema) as writer:
+                writer.write_table(expected)
+        else:
+            request.send_response(404)
+            request.end_headers()
+
+    async with mock_lancedb_connection_async(handler) as db:
+        table = await db.open_table("test")
+        query = await table.search(**search_kwargs)
+        assert isinstance(query, AsyncQuery)
+        result = await query.where("id >= 7").select(["id"]).limit(3).to_arrow()
+        assert result == expected
+
+
 def test_query_sync_maximal():
     def handler(body):
         assert body == {
@@ -1581,6 +1707,53 @@ def test_query_sync_maximal():
         )
 
 
+@pytest.mark.parametrize("hybrid", [False, True])
+def test_query_sync_nprobes_zero(hybrid):
+    query_requests = []
+
+    def handler(body):
+        query_requests.append(body)
+        return pa.table({"id": []})
+
+    with query_test_table(handler) as table:
+        if hybrid:
+            query = table.search(query_type="hybrid").vector([1, 2, 3]).text("dog")
+        else:
+            query = table.search([1, 2, 3])
+        with pytest.raises(
+            ValueError, match="^Invalid input, nprobes must be greater than 0$"
+        ):
+            query.nprobes(0)
+
+    assert query_requests == []
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("hybrid", [False, True])
+async def test_query_async_nprobes_zero(hybrid):
+    requests = []
+
+    def handler(request):
+        requests.append(request.path)
+        if request.path == "/v1/table/test/describe/":
+            send_json(request, {"version": 1, "schema": {"fields": []}})
+        else:
+            request.send_response(404)
+            request.end_headers()
+
+    async with mock_lancedb_connection_async(handler) as db:
+        table = await db.open_table("test")
+        query = table.query().nearest_to([1, 2, 3])
+        if hybrid:
+            query = query.nearest_to_text("dog")
+        with pytest.raises(
+            ValueError, match="^Invalid input, nprobes must be greater than 0$"
+        ):
+            query.nprobes(0)
+
+    assert requests == ["/v1/table/test/describe/"]
+
+
 def test_query_sync_nprobes():
     def handler(body):
         assert body == {
@@ -2145,15 +2318,46 @@ async def test_header_provider_overrides_static_headers():
 
 
 def test_close():
-    """Test that close() works without AttributeError."""
-    import asyncio
-
     def handler(req):
         req.send_response(200)
         req.end_headers()
 
     with mock_lancedb_connection(handler) as db:
-        asyncio.run(db.close())
+        assert db.close() is None
+        assert not db.is_open()
+        assert db.close() is None
+
+        with pytest.warns(DeprecationWarning, match="table_names"):
+            with pytest.raises(RuntimeError, match="Connection is closed"):
+                db.table_names()
+        with pytest.raises(RuntimeError, match="Connection is closed"):
+            db.list_tables()
+        with pytest.raises(RuntimeError, match="Connection is closed"):
+            db.open_table("test")
+
+
+@pytest.mark.parametrize("raise_error", [False, True])
+def test_sync_context_manager(raise_error):
+    def handler(req):
+        req.send_response(200)
+        req.send_header("Content-Type", "application/json")
+        req.end_headers()
+        req.wfile.write(b'{"tables": []}')
+
+    with mock_lancedb_connection(handler) as db:
+        with contextlib.ExitStack() as stack:
+            if raise_error:
+                stack.enter_context(pytest.raises(ValueError, match="test error"))
+            with db as conn:
+                assert conn is db
+                assert conn.is_open()
+                assert conn.list_tables().tables == []
+                if raise_error:
+                    raise ValueError("test error")
+
+        assert not db.is_open()
+        with pytest.raises(RuntimeError, match="Connection is closed"):
+            db.list_tables()
 
 
 @pytest.mark.parametrize("exception", [KeyboardInterrupt, SystemExit, GeneratorExit])

python/python/tests/test_table.py

@@ -113,6 +113,32 @@ def test_basic(mem_db: DBConnection):
     assert table.to_arrow() == expected_data
 
 
+@pytest.mark.parametrize("enable_v2", [False, True])
+def test_migrate_v2_manifest_paths(tmp_path, enable_v2):
+    db = lancedb.connect(
+        tmp_path,
+        storage_options={"new_table_enable_v2_manifest_paths": str(enable_v2).lower()},
+    )
+    table = db.create_table("calls", [{"id": 1, "vector": [1.0, 1.0]}])
+    table.add([{"id": 2, "vector": [2.0, 2.0]}])
+    expected_data = table.to_arrow()
+    expected_versions = table.list_versions()
+    assert table.uses_v2_manifest_paths() == enable_v2
+
+    # Migration is also safe to repeat on a table already using v2 paths.
+    for _ in range(2):
+        table.migrate_v2_manifest_paths()
+        assert table.uses_v2_manifest_paths()
+        reopened = db.open_table("calls")
+        assert reopened.uses_v2_manifest_paths()
+        assert reopened.to_arrow() == expected_data
+        assert reopened.list_versions() == expected_versions
+
+    manifests = list((tmp_path / "calls.lance" / "_versions").glob("*.manifest"))
+    assert len(manifests) == len(expected_versions)
+    assert all(len(path.stem) == 20 and path.stem.isdigit() for path in manifests)
+
+
 def test_search_preserves_nulls_from_sliced_arrow_table(mem_db: DBConnection):
     data = pa.table(
         {
@@ -3751,6 +3777,24 @@ def test_empty_query(mem_db: DBConnection):
     assert df.num_rows == 42
 
 
+@pytest.mark.parametrize("query", [[], np.array([], dtype=np.float32)])
+@pytest.mark.parametrize("vector_column_name", [None, "vector"])
+@pytest.mark.parametrize("query_type", ["auto", "vector"])
+@pytest.mark.parametrize("multiple_vector_columns", [False, True])
+def test_search_empty_vector(
+    mem_db, query, vector_column_name, query_type, multiple_vector_columns
+):
+    fields = [pa.field("vector", pa.list_(pa.float32(), 8))]
+    if multiple_vector_columns:
+        fields.append(pa.field("vec2", pa.list_(pa.float32(), 4)))
+    table = mem_db.create_table("empty_vector_query", schema=pa.schema(fields))
+
+    with pytest.raises(ValueError, match="^Query vector must not be empty$"):
+        table.search(
+            query, vector_column_name=vector_column_name, query_type=query_type
+        ).limit(3).to_arrow()
+
+
 def test_search_with_schema_inf_single_vector(mem_db: DBConnection):
     class MyTable(LanceModel):
         text: str
@@ -4144,14 +4188,74 @@ async def test_add_columns_with_schema(mem_db_async: AsyncConnection):
     )
 
 
-def test_alter_columns(mem_db: DBConnection):
+@pytest.mark.parametrize("rename_key", ["rename", "name"])
+def test_alter_columns(mem_db: DBConnection, rename_key):
     data = pa.table({"id": [0, 1]})
     table = mem_db.create_table("my_table", data=data)
-    alter_columns_res = table.alter_columns({"path": "id", "rename": "new_id"})
+    alter_columns_res = table.alter_columns({"path": "id", rename_key: "new_id"})
     assert alter_columns_res.version == 2
     assert table.to_arrow().column_names == ["new_id"]
 
 
+INVALID_COLUMN_ALTERATIONS = [
+    (({"path": "id"},), "One of rename, nullable or data_type"),
+    (
+        ({"path": "id", "nulable": False},),  # spellchecker:disable-line
+        "Unknown column alteration key 'nulable'",  # spellchecker:disable-line
+    ),
+    (
+        (
+            {
+                "path": "id",
+                "rename": "new_id",
+                "nulable": False,  # spellchecker:disable-line
+            },
+        ),
+        "Unknown column alteration key 'nulable'",  # spellchecker:disable-line
+    ),
+    (
+        ({"path": "id", "rename": "new_id"}, {"path": "id"}),
+        "One of rename, nullable or data_type",
+    ),
+]
+
+
+def test_alter_columns_nullable_false(mem_db: DBConnection):
+    table = mem_db.create_table("my_table", data=pa.table({"id": [0, 1]}))
+    result = table.alter_columns({"path": "id", "nullable": False})
+    assert result.version == 2
+    assert not table.schema.field("id").nullable
+
+
+@pytest.mark.parametrize("alterations, match", INVALID_COLUMN_ALTERATIONS)
+def test_alter_columns_rejects_invalid(mem_db: DBConnection, alterations, match):
+    table = mem_db.create_table("my_table", data=pa.table({"id": [0, 1]}))
+    initial_version = table.version
+    initial_schema = table.schema
+
+    with pytest.raises(ValueError, match=match):
+        table.alter_columns(*alterations)
+
+    assert table.version == initial_version
+    assert table.schema == initial_schema
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("alterations, match", INVALID_COLUMN_ALTERATIONS)
+async def test_alter_columns_rejects_invalid_async(
+    mem_db_async: AsyncConnection, alterations, match
+):
+    table = await mem_db_async.create_table("my_table", data=pa.table({"id": [0, 1]}))
+    initial_version = await table.version()
+    initial_schema = await table.schema()
+
+    with pytest.raises(ValueError, match=match):
+        await table.alter_columns(*alterations)
+
+    assert await table.version() == initial_version
+    assert await table.schema() == initial_schema
+
+
 def test_update_field_metadata(mem_db: DBConnection):
     data = pa.table({"id": [0, 1], "category": ["a", "b"]})
     table = mem_db.create_table("my_table", data=data)
@@ -4177,10 +4281,11 @@ def test_update_field_metadata(mem_db: DBConnection):
 
 
 @pytest.mark.asyncio
-async def test_alter_columns_async(mem_db_async: AsyncConnection):
+@pytest.mark.parametrize("rename_key", ["rename", "name"])
+async def test_alter_columns_async(mem_db_async: AsyncConnection, rename_key):
     data = pa.table({"id": [0, 1]})
     table = await mem_db_async.create_table("my_table", data=data)
-    alter_columns_res = await table.alter_columns({"path": "id", "rename": "new_id"})
+    alter_columns_res = await table.alter_columns({"path": "id", rename_key: "new_id"})
     assert alter_columns_res.version == 2
     assert (await table.to_arrow()).column_names == ["new_id"]
     alter_columns_res = await table.alter_columns(

python/src/query.rs

@@ -995,8 +995,9 @@ impl VectorQuery {
         self.inner = self.inner.clone().refine_factor(refine_factor);
     }
 
-    pub fn nprobes(&mut self, nprobe: u32) {
-        self.inner = self.inner.clone().nprobes(nprobe as usize);
+    pub fn nprobes(&mut self, nprobe: u32) -> PyResult<()> {
+        self.inner = self.inner.clone().nprobes(nprobe as usize).infer_error()?;
+        Ok(())
     }
 
     pub fn minimum_nprobes(&mut self, minimum_nprobes: u32) -> PyResult<()> {
@@ -1188,8 +1189,8 @@ impl HybridQuery {
         self.inner_vec.refine_factor(refine_factor);
     }
 
-    pub fn nprobes(&mut self, nprobe: u32) {
-        self.inner_vec.nprobes(nprobe);
+    pub fn nprobes(&mut self, nprobe: u32) -> PyResult<()> {
+        self.inner_vec.nprobes(nprobe)
     }
 
     pub fn ef(&mut self, ef: u32) {

python/src/table.rs

@@ -1902,6 +1902,17 @@ impl Table {
         let alterations = alterations
             .iter()
             .map(|alteration| {
+                for key in alteration.keys().iter() {
+                    let key = key.extract::<String>()?;
+                    if !matches!(
+                        key.as_str(),
+                        "path" | "rename" | "name" | "nullable" | "data_type"
+                    ) {
+                        return Err(PyValueError::new_err(format!(
+                            "Unknown column alteration key '{key}'"
+                        )));
+                    }
+                }
                 let path = alteration
                     .get_item("path")?
                     .ok_or_else(|| PyValueError::new_err("Missing path"))?