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zilliztech / VectorDBBench

A Benchmark Tool for VectorDB
MIT License
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Correcting SIFT datasize for capacity case #252

Closed devanshsa5 closed 9 months ago

devanshsa5 commented 9 months ago

The Capacity case mentioned in cases.py is fetching 500K docs with 128dims . There is no 100K dataset available for SIFT neither the case. class CapacityDim128(CapacityCase): case_id: CaseType = CaseType.CapacityDim128 dataset: DatasetManager = Dataset.SIFT.manager(500_000) name: str = "Capacity Test (128 Dim Repeated)" description: str = """This case tests the vector database's loading capacity by repeatedly inserting small-dimension vectors (SIFT 100K vectors, 128 dimensions) until it is fully loaded. Number of inserted vectors will be reported."""

devanshsa5 commented 9 months ago

/assign @XuanYang-cn

XuanYang-cn commented 9 months ago

@devanshsa5 Good catch!

sre-ci-robot commented 9 months ago

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