Comments (1)
Oh, this is totally my fault.
The bulkAPI example in pymilvus says to use 'a-bucket', so it wasn't a problem with milvus standalone deployed with docker, but when I tried to deploy it with a k8s cluster, it was using my-release as the default bucket, so it couldn't find the object.
I found the log message shown as below from datanode
[WARN] [storage/remote_chunk_manager.go:117] ["failed to stat object"] [bucket=my-release] [path=bulk_data/3af5cab6-522c-4f4b-a357-0fade7611540/1.parquet] [error="NoSuchKey(key=bulk_data/3af5cab6-522c-4f4b-a357-0fade7611540/1.parquet)"]
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Related Issues (20)
- [QUESTION]: HOT 2
- [Bug]: The error check of max_capacity of array was removed HOT 1
- [Bug]: The error message of unmatched collection dim during insert is not user-friendly
- [Enhancement]: Support major compaction in compact
- [QUESTION]: Is it possible to use `query_iterator` with `MilvusClient`? HOT 2
- collection.load() very slow
- [Bug]: FieldSchema.construct_from_dict() not support params max_length and dim
- [Bug]: Offset parameter did not take effect in hybrid search
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- [Bug]: [milvus_client] Get interface returns empty when "ids" is a list of string for string primary key HOT 1
- [QUESTION]: How to filter sparse vector field (metric_type=IP) 如何对sparse field 进行range查询? HOT 1
- [QUESTION]: Search()中limit参数无法控制返回数量。 HOT 1
- [Bug]: failed to flush collection HOT 1
- [QUESTION]:
- [Enhancement]: multi vector search using new MilvusClient SDK
- [Enhancement]: Reduce pymilvus package size HOT 6
- Can't run Flask+gevent with milvus connections.connect HOT 3
- [Enhancement]: Raise exception if RPC error occurs
- [Bug]: Spark Milvus Connector DataType.ARRAY HOT 1
- [QUESTION]: Why does ORM-style API seem to outperform MilvusClient in database search operations?
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