mirror of
https://github.com/lancedb/lancedb.git
synced 2025-12-26 14:49:57 +00:00
@@ -94,6 +94,7 @@ class Query:
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def nearest_to(self, query_vec: pa.Array) -> VectorQuery: ...
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def nearest_to_text(self, query: dict) -> FTSQuery: ...
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async def execute(self, max_batch_length: Optional[int]) -> RecordBatchStream: ...
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async def explain_plan(self, verbose: Optional[bool]) -> str: ...
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def to_query_request(self) -> PyQueryRequest: ...
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class FTSQuery:
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@@ -108,7 +109,6 @@ class FTSQuery:
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def add_query_vector(self, query_vec: pa.Array) -> None: ...
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def nearest_to(self, query_vec: pa.Array) -> HybridQuery: ...
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async def execute(self, max_batch_length: Optional[int]) -> RecordBatchStream: ...
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async def explain_plan(self) -> str: ...
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def to_query_request(self) -> PyQueryRequest: ...
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class VectorQuery:
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@@ -657,7 +657,7 @@ class LanceQueryBuilder(ABC):
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-------
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plan : str
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""" # noqa: E501
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return self._table._explain_plan(self.to_query_object())
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return self._table._explain_plan(self.to_query_object(), verbose=verbose)
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def vector(self, vector: Union[np.ndarray, list]) -> Self:
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"""Set the vector to search for.
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@@ -365,6 +365,9 @@ class RemoteTable(Table):
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return pa.RecordBatchReader.from_batches(async_iter.schema, iter_sync())
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def _explain_plan(self, query: Query, verbose: Optional[bool] = False) -> str:
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return LOOP.run(self._table._explain_plan(query, verbose))
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def merge_insert(self, on: Union[str, Iterable[str]]) -> LanceMergeInsertBuilder:
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"""Returns a [`LanceMergeInsertBuilder`][lancedb.merge.LanceMergeInsertBuilder]
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that can be used to create a "merge insert" operation.
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@@ -1007,6 +1007,9 @@ class Table(ABC):
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self, query: Query, batch_size: Optional[int] = None
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) -> pa.RecordBatchReader: ...
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@abstractmethod
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def _explain_plan(self, query: Query, verbose: Optional[bool] = False) -> str: ...
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@abstractmethod
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def _do_merge(
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self,
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@@ -2292,8 +2295,8 @@ class LanceTable(Table):
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return pa.RecordBatchReader.from_batches(async_iter.schema, iter_sync())
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def _explain_plan(self, query: Query) -> str:
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return LOOP.run(self._table._explain_plan(query))
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def _explain_plan(self, query: Query, verbose: Optional[bool] = False) -> str:
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return LOOP.run(self._table._explain_plan(query, verbose))
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def _do_merge(
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self,
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@@ -3358,10 +3361,10 @@ class AsyncTable:
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return await async_query.to_batches(max_batch_length=batch_size)
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async def _explain_plan(self, query: Query) -> str:
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async def _explain_plan(self, query: Query, verbose: Optional[bool]) -> str:
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# This method is used by the sync table
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async_query = self._sync_query_to_async(query)
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return await async_query.explain_plan()
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return await async_query.explain_plan(verbose)
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async def _do_merge(
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self,
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@@ -271,7 +271,7 @@ impl Query {
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})
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}
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fn explain_plan(self_: PyRef<'_, Self>, verbose: bool) -> PyResult<Bound<'_, PyAny>> {
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pub fn explain_plan(self_: PyRef<'_, Self>, verbose: bool) -> PyResult<Bound<'_, PyAny>> {
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let inner = self_.inner.clone();
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future_into_py(self_.py(), async move {
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inner
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@@ -470,7 +470,7 @@ impl VectorQuery {
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})
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}
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fn explain_plan(self_: PyRef<'_, Self>, verbose: bool) -> PyResult<Bound<'_, PyAny>> {
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pub fn explain_plan(self_: PyRef<'_, Self>, verbose: bool) -> PyResult<Bound<'_, PyAny>> {
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let inner = self_.inner.clone();
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future_into_py(self_.py(), async move {
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inner
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