Comments (6)
2. The minio disk space is enough, only 25% used now, so I am super wondering the reason. And referring to your suggestions, I am doing a new test and preparing to grab the milvus cluster & node metrics at that crash time, will update here later.
the reason is you are using IVF_SQ8. This index don't have original vectors.
Milvus try to prewarm original vectors on local cache in order to improve the cold latency.
if you don't need to get vectors, change queryNode.cache.warmup to off could help
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if you don't have enough space on /var, the K8s will automatically evict, that's might be the reason why you can not recover
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Related Issues (20)
- [Bug]: [CI] Deleted data can be queried HOT 3
- [Bug]: Unit test TestCacheWriter_WithAutoFlush may failed with deadlock HOT 2
- [Enhancement]: Optimize datanode cpu usage under large collection number
- [Bug]: test_compact_during_insert failed HOT 1
- [Bug]: The search vector being too far away can lead to inaccurate result sets. HOT 3
- [Bug]: Too many L0 segments caused query node OOM. HOT 2
- [Bug]: Forgetting to set blob memory size when compaction resulted a huge segment being generated HOT 1
- [Enhancement]: Support Log Service in Milvus
- [Bug]: milvus querynode memory crash, how to locate the cause HOT 13
- [Bug]: wrong operate to drop collection/database etc. with prefix in snapshot HOT 11
- [Bug]: Zero Recall Rate, Very Strange for multi-vector search!!!!!!! HOT 20
- [Feature]: The result of search, order by scalar field. HOT 3
- [Bug]: after reinstalling, the amount of search result data is less than the limit value. HOT 1
- [Bug]: When the cluster was under extremely low pressure, a 6-second slow query occurred. HOT 13
- [Enhancement]: There are errors in some proxy-related metrics
- [Enhancement]: add the includeCurrentMsg param for the Seek method
- [Bug]: fail to drop an index if there are multpile indexes of multiple vector fields HOT 1
- [Bug]: segments belong to dropped partitions are never dropped HOT 1
- [Bug]: "failed to get request info" warn log is too frequent HOT 2
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