zilliztech / zilliztech/VectorDBBench
Can VectorDBBench be configured to set the number of concurrent operations for inserting data into Elasticsearch?
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 1.2k
- Forks
- 438
- Avg merge
- 1d 4h
- Merged PRs (30d)
- 1
Description
When we were conducting the regular VectorDBBench test to evaluate the performance of Elasticsearch, we found that the insert efficiency of Elasticsearch was extremely slow. We speculate that this is because VectorDBBench did not perform concurrent insertions when importing data. In reality, Elasticsearch in production applications supports multiple concurrent insertions. The insert performance test results here do not match the expectations. Can VectorDBBench set the number of concurrent insertions for Elasticsearch?
Contributor guide
No contributing guide indexed for this repository
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
Start by tracing VectorDBBench's Elasticsearch data-import path and checking whether it already exposes concurrency settings for other backends. Run the regular Elasticsearch benchmark to establish the current insertion behavior; done means the benchmark can configure concurrent insertions and reports the resulting performance clearly.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- elasticsearch, python
- Domain
- databases, performance
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100