Comments (5)
I'm facing the same issue here. My system environment is CentOS Linux release 7.4.1708 (Core), and I'm using Python 3.8.1.
Have you found any solution or workaround for this problem?
from vector-db-benchmark.
I'm facing the same issue here. My system environment is CentOS Linux release 7.4.1708 (Core), and I'm using Python 3.8.1.
Have you found any solution or workaround for this problem?
I am using CentOS 8 stream and Python 3.10 ... no solution yet .waiting for the repo owners to comment .
from vector-db-benchmark.
I'm facing the same issue here. My system environment is CentOS Linux release 7.4.1708 (Core), and I'm using Python 3.8.1.
Have you found any solution or workaround for this problem?I am using CentOS 8 stream and Python 3.10 ... no solution yet .waiting for the repo owners to comment .
Hello, I referred to the testing steps in this repository (https://github.com/myscale/vector-db-benchmark/blob/master/docs/step-by-step-guide-for-benchmark.md#qdrant) and made some minor modifications to the QdrantUploader.init_client method in qdrant/engine/clients/qdrant/upload.py.
I understand that the program is now able to run, but it appears to be hanging during runtime and there are anomalies detected in the collection status.
`
curl 'http://{ip}:{port}/collections/benchmark'
{"result":{"status":"red","optimizer_status":{"error":"Service internal error: IO Error: Function not implemented (os error 38)"},"vectors_count":12ctors_count":0,"points_count":1240620,"segments_count":24,"config":{"params":{"vectors":{"size":100,"distance":"Cosine"},"shard_number":3,"replicatite_consistency_factor":1,"on_disk_payload":true},"hnsw_config":{"m":16,"ef_construct":100,"full_scan_threshold":10000,"max_indexing_threads":0,"on_dizer_config":{"deleted_threshold":0.2,"vacuum_min_vector_number":1000,"default_segment_number":0,"max_segment_size":null,"memmap_threshold":10000,"i":20000,"flush_interval_sec":5,"max_optimization_threads":1},"wal_config":{"wal_capacity_mb":32,"wal_segments_ahead":0},"quantization_config":null},{}},"status":"ok","time":0.001639665}
`
from vector-db-benchmark.
You forgot to add -p 6334:6334
from vector-db-benchmark.
This was fixed in 9b22a84
Feel free to let us know if you continue to face the error.
from vector-db-benchmark.
Related Issues (20)
- Elastic client timeout should be configurable.
- Elastic vector limit should be 4096 instead of 2048 HOT 1
- Support pulling embedding from any Huggingface dataset
- Standardize format of search params in engine configs
- Is this support to test pgvector HOT 1
- Automate testing of PRs across different engines HOT 1
- Is it possible to use this tool offline? HOT 2
- Track memory usage with RSSAnon HOT 1
- Add support to wait for server to start in all the engines
- Standardize all `*-default` configs and add `*-debug` with parallel = 1 for easy debugging.
- Add recall metric HOT 1
- OpenSearch search run should handle rate-limiting / 429 HTTP errors HOT 1
- qdrant's bencnmark is reporting an extremely high latencies for on-disk index qith 140M vectors HOT 1
- Introduce Vespa in benchmarks
- Qdrant Internal Server Error on recreate timeout for > 40M vectors: Waiting for Consensus Operation Commit Failed HOT 1
- Low precision numbers reported for filtering dataset with Opensearch HOT 3
- [question] How to draw a picture like the one displayed on the README webpage HOT 1
- Poetry fails to install dependencies for vector-db-benchmark.
- Poetry fails to install dependencies for vector-db-benchmark.
- The maximum file size limit is incorrect when using the S3 protocol for uploads. HOT 1
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