Closed psc0606 closed 1 year ago
@psc0606 thank you for the issue. How many vectors(nq) did you use in each search request? Could you please refer this script to export the whole Milvus logs for investigation?
/assign @czs007 /unassign
Only one vector in each search request.
update: add more log. @yanliang567 I have already upload the whole milvus log.
Another interesting thing is when I load collection with two replicaNumer, the query time P99 will only half of the before. But when I add more replicaNumber, the query time cost can not be better.
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@czs007 any updates
This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
Rotten issues close after 30d of inactivity. Reopen the issue with /reopen
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Is there an existing issue for this?
Environment
Current Behavior
We have three collection, each of them about 5200w entities, each of entity has two fields: 128dim float vector field, and int64 id field. We load collection with default 2 shards, default 1 replicaNumber, index: IVF_FLAT. The QPS of query request is very low (about 10 QPS, my query request param: topK: 1000, metric_type: L2, params: {\"nprobe\":64}, ). Insert and delete request are also low(<10QPS).
But we get unstable query time cost(P99 about 400ms~600ms), normal query only cost 40 ~ 60ms.
We have milvus monitor:
From querynode, I can see query latency is very high:
What's happen to my querynodes, only a few querynodes have rather high query latency. Finally, at 23:41 made our cluster not responsible. Then milvus cluster seems crash.
Expected Behavior
I expect a relative stable query cost, and a relative balanced query time cost.
Steps To Reproduce
No response
Milvus Log
milvus-2022-08-04_23.log
Anything else?
No response