rust/lancedb
1
0
Fork 0
mirror of https://github.com/lancedb/lancedb.git synced 2025-12-26 14:49:57 +00:00
Code Issues Packages Projects Releases Wiki Activity

feat: upgrade Lance to v0.37.0 (#2672)

Browse Source 
Change logs:

* https://github.com/lancedb/lance/releases/tag/v0.37.0
* https://github.com/lancedb/lance/releases/tag/v0.36.0
This commit is contained in:
Will Jones
2025-09-23 13:41:47 -07:00
committed by GitHub
parent e921c90c1b
commit 1ab60fae7f
7 changed files with 109 additions and 60 deletions
Download Patch File Download Diff File Expand all files Collapse all files

26
python/python/lancedb/table.py
View File

@@ -1470,10 +1470,7 @@ class Table(ABC):
be deleted unless they are at least 7 days old. If delete_unverified is True
then these files will be deleted regardless of their age.
retrain: bool, default False
If True, retrain the vector indices, this would refine the IVF clustering
and quantization, which may improve the search accuracy. It's faster than
re-creating the index from scratch, so it's recommended to try this first,
when the data distribution has changed significantly.
This parameter is no longer used and is deprecated.
Experimental API
----------------
@@ -2835,10 +2832,7 @@ class LanceTable(Table):
be deleted unless they are at least 7 days old. If delete_unverified is True
then these files will be deleted regardless of their age.
retrain: bool, default False
If True, retrain the vector indices, this would refine the IVF clustering
and quantization, which may improve the search accuracy. It's faster than
re-creating the index from scratch, so it's recommended to try this first,
when the data distribution has changed significantly.
This parameter is no longer used and is deprecated.
Experimental API
----------------
@@ -4298,10 +4292,7 @@ class AsyncTable:
be deleted unless they are at least 7 days old. If delete_unverified is True
then these files will be deleted regardless of their age.
retrain: bool, default False
If True, retrain the vector indices, this would refine the IVF clustering
and quantization, which may improve the search accuracy. It's faster than
re-creating the index from scratch, so it's recommended to try this first,
when the data distribution has changed significantly.
This parameter is no longer used and is deprecated.
Experimental API
----------------
@@ -4324,10 +4315,19 @@ class AsyncTable:
cleanup_since_ms: Optional[int] = None
if cleanup_older_than is not None:
cleanup_since_ms = round(cleanup_older_than.total_seconds() * 1000)
if retrain:
import warnings
warnings.warn(
"The 'retrain' parameter is deprecated and will be removed in a "
"future version.",
DeprecationWarning,
)
return await self._inner.optimize(
cleanup_since_ms=cleanup_since_ms,
delete_unverified=delete_unverified,
retrain=retrain,
)
async def list_indices(self) -> Iterable[IndexConfig]: