Comments (5)
standalone_embed uses local storage as backend storage, so no minio was installed.
you can follow this link (https://milvus.io/docs/install_standalone-docker-compose.md) to setup
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standalone_embed uses local storage as backend storage, so no minio was installed. you can follow this link (https://milvus.io/docs/install_standalone-docker-compose.md) to setup
If I just want to use the standalone embedded mode, how do I backup it?
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I'd suggest you not use standalone emedded in this case
standalone_embed uses local storage as backend storage, so no minio was installed. you can follow this link (https://milvus.io/docs/install_standalone-docker-compose.md) to setup
If I just want to use the standalone embedded mode, how do I backup it?
/asign @yesletgo
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/assign @yesletgo
/unassign
from milvus.
I'd suggest you not use standalone emedded in this case
standalone_embed uses local storage as backend storage, so no minio was installed. you can follow this link (https://milvus.io/docs/install_standalone-docker-compose.md) to setup
If I just want to use the standalone embedded mode, how do I backup it?
/asign @yesletgo
Why is it not suitable in this example? Does standalone'embed not require backup, or may I ask how to recover it if there is a malfunction?
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Related Issues (20)
- [Bug]: [restful v2]The search api does not support nq>2. It can only return the top k results for a single query when nq > 1. HOT 1
- [Bug]: [restful v2]when nq > 1, the hybrid search can return all results, but it flattens them HOT 1
- [Bug]: The milvus instance does not have any requests but the query count(*) results become larger HOT 1
- [Bug]: test_search_pagination_group_by failed HOT 2
- [Bug]: Chunkcache files may potentially leak HOT 1
- [Enhancement]: row-based import, only allow one JSON file each time HOT 2
- [Bug]: [standalone][LRU] Milvus standalone goroutine leak when enable lru cache HOT 3
- [Enhancement]: Make querycoordv2 collection observer task driven
- [Bug]: GPU_BRUTE_FORCE Index Milvus Search error HOT 1
- [Bug]: The number of L0 segmtn loaded by the querynode keeps growing HOT 1
- [Feature]: Support brew install and brew services HOT 3
- [Enhancement]: Do not list prefix on S3 when load partition HOT 3
- [Bug]: TestAvgReassignPolicy/test_normal_reassigning_for_one_available_nodes ut failed
- [Bug]: The query result is empty after Milvus recovers from a querynode pod kill or pod failure chaos HOT 3
- [Enhancement]: DataNode Compactor tracing and timing is confusing
- [Bug]: [benchmark][standalone][LRU] search and query raiase error in concurrent DQL and insert scene HOT 2
- [Bug]: falled to query: node offline HOT 4
- [Bug]: Fail to search on QueryNode: When metricType is L2 and range_filter < radius, precision loss error occurs. The range_filter must be less than the radius. HOT 8
- [Bug]: [benchmark][cluster] After queryNode pod failure is restored, hybrid_search RT increases in replica=2 scene
- [Bug]: Docker arm64 image milvusdb/milvus:v2.4.0: symbol lookup error HOT 17
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