zilliztech / zilliztech/VectorDBBench
loading dataset
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- Dominant language
- Python
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Description
I am checking my pgvector database's loading capacity by inserting large-dimension vectors (SIFT100K vectors, 128 dimensions) ...it is taking long time even for 100k vectors and why current max load counts showing 1M even though i am checking with 100K Vectors only
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No source file, test, or entry point is named. Start by reproducing the pgvector load with SIFT100K's 128-dimensional vectors and the reported 100K count, then compare its duration and displayed 1M maximum with the benchmark configuration. Done means the cause of the slow load and the 1M count is identified and clearly documented or corrected.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- postgresql
- Domain
- databases, performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100