Skip to content

fix: update logging messages to reflect correct vector counts in Qdrant #704

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
XuanYang-cn merged 1 commit into from
Jan 27, 2026
Merged

fix: update logging messages to reflect correct vector counts in Qdrant #704

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion vectordb_bench/backend/clients/qdrant_cloud/qdrant_cloud.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -93,7 +93,7 @@ def optimize(self, data_size: int | None = None):
continue
if info.status == CollectionStatus.GREEN:
msg = (
f"Stored vectors: {info.vectors_count}, Indexed vectors: {info.indexed_vectors_count}, "
f"Stored vectors: {info.points_count}, Indexed vectors: {info.indexed_vectors_count}, "
f"Collection status: {info.status}, Segment counts: {info.segments_count}"
)
log.info(msg)
Expand Down
6 changes: 3 additions & 3 deletions vectordb_bench/backend/clients/qdrant_local/qdrant_local.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -139,14 +139,14 @@ def optimize(self, data_size: int | None = None):
if info.status == CollectionStatus.GREEN:
log.info(f"Finishing building index for collection: {self.collection_name}")
msg = (
f"Stored vectors: {info.vectors_count}, Indexed vectors: {info.indexed_vectors_count}, "
f"Collection status: {info.indexed_vectors_count}"
f"Stored vectors: {info.points_count}, Indexed vectors: {info.indexed_vectors_count}, "
f"Collection status: {info.status}"
)
log.info(msg)
return

except Exception as e:
log.warning(f"QdrantCloud ready to search error: {e}")
log.warning(f"QdrantLocal ready to search error: {e}")
raise e from None

def insert_embeddings(
Expand Down