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https://gitee.com/milvus-io/milvus.git
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42 lines
2.2 KiB
YAML
42 lines
2.2 KiB
YAML
server_config:
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address: 0.0.0.0 # milvus server ip address (IPv4)
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port: 19530 # port range: 1025 ~ 65534
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deploy_mode: cluster_readonly # deployment type: single, cluster_readonly, cluster_writable
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time_zone: UTC+8
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db_config:
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primary_path: /opt/milvus # path used to store data and meta
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secondary_path: # path used to store data only, split by semicolon
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backend_url: sqlite://:@:/ # URI format: dialect://username:password@host:port/database
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# Keep 'dialect://:@:/', and replace other texts with real values
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# Replace 'dialect' with 'mysql' or 'sqlite'
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insert_buffer_size: 4 # GB, maximum insert buffer size allowed
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# sum of insert_buffer_size and cpu_cache_capacity cannot exceed total memory
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preload_table: # preload data at startup, '*' means load all tables, empty value means no preload
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# you can specify preload tables like this: table1,table2,table3
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metric_config:
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enable_monitor: false # enable monitoring or not
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collector: prometheus # prometheus
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prometheus_config:
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port: 8080 # port prometheus uses to fetch metrics
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cache_config:
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cpu_cache_capacity: 16 # GB, CPU memory used for cache
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cpu_cache_threshold: 0.85 # percentage of data that will be kept when cache cleanup is triggered
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gpu_cache_capacity: 4 # GB, GPU memory used for cache
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gpu_cache_threshold: 0.85 # percentage of data that will be kept when cache cleanup is triggered
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cache_insert_data: false # whether to load inserted data into cache
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engine_config:
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use_blas_threshold: 20 # if nq < use_blas_threshold, use SSE, faster with fluctuated response times
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# if nq >= use_blas_threshold, use OpenBlas, slower with stable response times
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resource_config:
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search_resources: # define the GPUs used for search computation, valid value: gpux
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- gpu0
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index_build_device: gpu0 # GPU used for building index
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