{"id":32984,"date":"2025-04-26T10:26:40","date_gmt":"2025-04-26T02:26:40","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/32984.html"},"modified":"2025-04-26T10:26:40","modified_gmt":"2025-04-26T02:26:40","slug":"milvus%ef%bc%884%ef%bc%89%ef%bc%9a%e5%88%9b%e5%bb%ba-collections","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/32984.html","title":{"rendered":"Milvus\uff084\uff09\uff1a\u521b\u5efa Collections"},"content":{"rendered":"

1\u00a0\u521b\u5efa Collections<\/h2>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u53ef\u4ee5\u901a\u8fc7\u5b9a\u4e49 Schema\u3001\u7d22\u5f15\u53c2\u6570\u3001\u5ea6\u91cf\u7c7b\u578b\u4ee5\u53ca\u521b\u5efa\u65f6\u662f\u5426\u52a0\u8f7d\u6765\u521b\u5efa\u4e00\u4e2a Collection\u3002<\/p>\n

1.1\u00a0\u96c6\u5408\u6982\u8ff0<\/h3>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Collection \u662f\u4e00\u4e2a\u4e8c\u7ef4\u8868，\u5177\u6709\u56fa\u5b9a\u7684\u5217\u548c\u53d8\u5316\u7684\u884c\u3002\u6bcf\u5217\u4ee3\u8868\u4e00\u4e2a\u5b57\u6bb5，\u6bcf\u884c\u4ee3\u8868\u4e00\u4e2a\u5b9e\u4f53\u3002\u8981\u5b9e\u73b0\u8fd9\u6837\u7684\u7ed3\u6784\u5316\u6570\u636e\u7ba1\u7406，\u9700\u8981\u4e00\u4e2a Schema\u3002\u8981\u63d2\u5165\u7684\u6bcf\u4e2a\u5b9e\u4f53\u90fd\u5fc5\u987b\u7b26\u5408 Schema \u4e2d\u5b9a\u4e49\u7684\u7ea6\u675f\u6761\u4ef6\u3002<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u4f60\u53ef\u4ee5\u786e\u5b9a Collections \u7684\u65b9\u65b9\u9762\u9762，\u5305\u62ec\u5176 Schema\u3001\u7d22\u5f15\u53c2\u6570\u3001\u5ea6\u91cf\u7c7b\u578b，\u4ee5\u53ca\u662f\u5426\u5728\u521b\u5efa\u65f6\u52a0\u8f7d，\u4ee5\u786e\u4fdd\u96c6\u5408\u5b8c\u5168\u6ee1\u8db3\u4f60\u7684\u8981\u6c42\u3002\u8981\u521b\u5efa\u4e00\u4e2a Collection，\u60a8\u9700\u8981<\/p>\n

  • \u521b\u5efa Schema<\/li>\n
  • \u8bbe\u7f6e\u7d22\u5f15\u53c2\u6570（\u53ef\u9009）<\/li>\n
  • \u521b\u5efa Collections<\/li>\n

    1.2\u00a0\u521b\u5efa Schema<\/h3>\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Schema \u5b9a\u4e49\u4e86 Collections \u7684\u6570\u636e\u7ed3\u6784\u3002\u521b\u5efa Collections \u65f6，\u9700\u8981\u6839\u636e\u81ea\u5df1\u7684\u8981\u6c42\u8bbe\u8ba1\u6a21\u5f0f\u3002\u4ee5\u4e0b\u4ee3\u7801\u7247\u6bb5\u521b\u5efa\u4e86\u4e00\u4e2a\u6a21\u5f0f，\u5176\u4e2d\u5305\u542b\u542f\u7528\u7684 Dynamic Field \u548c\u4e09\u4e2a\u5fc5\u586b\u5b57\u6bb5，\u5206\u522b\u547d\u540d\u4e3amy_id\u00a0\u3001my_vector\u00a0\u548cmy_varchar\u00a0\u3002<\/p>\n

    from pymilvus import MilvusClient, DataType<\/p>\n

    client = MilvusClient(
    \n uri="http:\/\/localhost:19530",
    \n token="root:Milvus"
    \n)<\/p>\n

    schema = MilvusClient.create_schema(
    \n auto_id=False,
    \n enable_dynamic_field=True,
    \n)<\/p>\n

    schema.add_field(field_name="my_id", datatype=DataType.INT64, is_primary=True)
    \nschema.add_field(field_name="my_vector", datatype=DataType.FLOAT_VECTOR, dim=5)
    \nschema.add_field(field_name="my_varchar", datatype=DataType.VARCHAR, max_length=512)<\/p>\n

    1.3\u00a0(\u53ef\u9009）\u8bbe\u7f6e\u7d22\u5f15\u53c2\u6570<\/h3>\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u5728\u7279\u5b9a\u5b57\u6bb5\u4e0a\u521b\u5efa\u7d22\u5f15\u53ef\u52a0\u5feb\u5bf9\u8be5\u5b57\u6bb5\u7684\u641c\u7d22\u3002\u7d22\u5f15\u8bb0\u5f55\u4e86 Collections \u4e2d\u5b9e\u4f53\u7684\u987a\u5e8f\u3002\u5982\u4ee5\u4e0b\u4ee3\u7801\u7247\u6bb5\u6240\u793a，\u60a8\u53ef\u4ee5\u4f7f\u7528metric_type\u00a0\u548cindex_type\u00a0\u4e3a Milvus \u9009\u62e9\u9002\u5f53\u7684\u65b9\u5f0f\u4e3a\u5b57\u6bb5\u5efa\u7acb\u7d22\u5f15，\u5e76\u6d4b\u91cf\u5411\u91cf\u5d4c\u5165\u4e4b\u95f4\u7684\u76f8\u4f3c\u6027\u3002\u5728 Milvus \u4e0a，\u60a8\u53ef\u4ee5\u4f7f\u7528AUTOINDEX\u00a0\u4f5c\u4e3a\u6240\u6709\u5411\u91cf\u573a\u7684\u7d22\u5f15\u7c7b\u578b，\u5e76\u6839\u636e\u9700\u8981\u4f7f\u7528COSINE\u00a0\u3001L2\u00a0\u548cIP\u00a0\u4e2d\u7684\u4e00\u79cd\u4f5c\u4e3a\u5ea6\u91cf\u7c7b\u578b\u3002<\/p>\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u5982\u4e0a\u8ff0\u4ee3\u7801\u7247\u6bb5\u6240\u793a，\u60a8\u9700\u8981\u4e3a\u5411\u91cf\u573a\u540c\u65f6\u8bbe\u7f6e\u7d22\u5f15\u7c7b\u578b\u548c\u5ea6\u91cf\u7c7b\u578b，\u800c\u53ea\u9700\u4e3a\u6807\u91cf\u573a\u8bbe\u7f6e\u7d22\u5f15\u7c7b\u578b\u3002\u7d22\u5f15\u5bf9\u4e8e\u5411\u91cf\u5b57\u6bb5\u662f\u5f3a\u5236\u6027\u7684，\u5efa\u8bae\u60a8\u5728\u7b5b\u9009\u6761\u4ef6\u4e2d\u7ecf\u5e38\u4f7f\u7528\u7684\u6807\u91cf\u5b57\u6bb5\u4e0a\u521b\u5efa\u7d22\u5f15\u3002<\/p>\n

    index_params = client.prepare_index_params()<\/p>\n

    index_params.add_index(
    \n field_name="my_id",
    \n index_type="AUTOINDEX"
    \n)<\/p>\n

    index_params.add_index(
    \n field_name="my_vector",
    \n index_type="AUTOINDEX",
    \n metric_type="COSINE"
    \n)<\/p>\n

    1.4\u00a0\u521b\u5efa Collections<\/h3>\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u5982\u679c\u521b\u5efa\u4e86\u5e26\u6709\u7d22\u5f15\u53c2\u6570\u7684 Collection，Milvus \u4f1a\u5728\u521b\u5efa\u65f6\u81ea\u52a8\u52a0\u8f7d\u8be5 Collection\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b，\u7d22\u5f15\u53c2\u6570\u4e2d\u63d0\u5230\u7684\u6240\u6709\u5b57\u6bb5\u90fd\u4f1a\u88ab\u7d22\u5f15\u3002\u4ee5\u4e0b\u4ee3\u7801\u7247\u6bb5\u6f14\u793a\u4e86\u5982\u4f55\u521b\u5efa\u5e26\u7d22\u5f15\u53c2\u6570\u7684 Collections \u5e76\u68c0\u67e5\u5176\u52a0\u8f7d\u72b6\u6001\u3002<\/p>\n

    client.create_collection(
    \n collection_name="customized_setup_1",
    \n schema=schema,
    \n index_params=index_params
    \n)<\/p>\n

    res = client.get_load_state(
    \n collection_name="customized_setup_1"
    \n)<\/p>\n

    print(res)<\/p>\n

    # Output
    \n#
    \n# {
    \n# "state": "<LoadState: Loaded>"
    \n# }<\/p>\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u4e5f\u53ef\u4ee5\u521b\u5efa\u4e0d\u5e26\u4efb\u4f55\u7d22\u5f15\u53c2\u6570\u7684 Collections，\u7136\u540e\u518d\u6dfb\u52a0\u7d22\u5f15\u53c2\u6570\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b，Milvus \u4e0d\u4f1a\u5728\u521b\u5efa\u65f6\u52a0\u8f7d Collection\u3002.\u4ee5\u4e0b\u4ee3\u7801\u7247\u6bb5\u6f14\u793a\u4e86\u5982\u4f55\u521b\u5efa\u4e00\u4e2a\u4e0d\u5e26\u96c6\u5408\u7684 Collection，\u521b\u5efa\u65f6\u96c6\u5408\u7684\u52a0\u8f7d\u72b6\u6001\u4ecd\u4e3a\u672a\u52a0\u8f7d\u3002<\/p>\n

    client.create_collection(
    \n collection_name="customized_setup_2",
    \n schema=schema,
    \n)<\/p>\n

    res = client.get_load_state(
    \n collection_name="customized_setup_2"
    \n)<\/p>\n

    print(res)<\/p>\n

    # Output
    \n#
    \n# {
    \n# "state": "<LoadState: NotLoad>"
    \n# } <\/p>\n

    1.5\u00a0\u8bbe\u7f6e Collections \u5c5e\u6027<\/h3>\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u60a8\u53ef\u4ee5\u4e3a\u8981\u521b\u5efa\u7684 Collection \u8bbe\u7f6e\u5c5e\u6027，\u4f7f\u5176\u9002\u5408\u60a8\u7684\u670d\u52a1\u3002\u9002\u7528\u7684\u5c5e\u6027\u5982\u4e0b\u3002<\/p>\n

    1.5.1\u00a0\u8bbe\u7f6e\u5206\u7247\u7f16\u53f7<\/h4>\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u5206\u7247\u662f Collections \u7684\u6c34\u5e73\u5207\u7247\u3002\u6bcf\u4e2a\u5206\u533a\u5bf9\u5e94\u4e00\u4e2a\u6570\u636e\u8f93\u5165\u901a\u9053\u3002\u6bcf\u4e2a Collections \u9ed8\u8ba4\u90fd\u6709\u4e00\u4e2a\u5206\u7247\u3002\u521b\u5efa Collections \u65f6，\u53ef\u6839\u636e\u9884\u671f\u541e\u5410\u91cf\u548c\u8981\u63d2\u5165 Collections \u7684\u6570\u636e\u91cf\u8bbe\u7f6e\u9002\u5f53\u7684\u5206\u7247\u6570\u3002<\/p>\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u5728\u5e38\u89c1\u60c5\u51b5\u4e0b，\u6bcf\u5f53\u9884\u671f\u541e\u5410\u91cf\u589e\u52a0 500 MB\/\u79d2\u6216\u8981\u63d2\u5165\u7684\u6570\u636e\u91cf\u589e\u52a0 100 GB \u65f6，\u5c31\u53ef\u4ee5\u8003\u8651\u589e\u52a0\u4e00\u4e2a\u5206\u7247\u3002\u8fd9\u4e00\u5efa\u8bae\u662f\u57fa\u4e8e\u6211\u4eec\u81ea\u5df1\u7684\u7ecf\u9a8c，\u53ef\u80fd\u5e76\u4e0d\u5b8c\u5168\u9002\u5408\u60a8\u7684\u5e94\u7528\u573a\u666f\u3002\u4f60\u53ef\u4ee5\u6839\u636e\u81ea\u5df1\u7684\u9700\u8981\u8c03\u6574\u8fd9\u4e2a\u6570\u5b57，\u6216\u8005\u76f4\u63a5\u4f7f\u7528\u9ed8\u8ba4\u503c\u3002\u4e0b\u9762\u7684\u4ee3\u7801\u7247\u6bb5\u6f14\u793a\u4e86\u5982\u4f55\u5728\u521b\u5efa Collection \u65f6\u8bbe\u7f6e\u5206\u7247\u6570\u3002<\/p>\n

    # \u5e26\u5206\u7247\u53f7
    \nclient.create_collection(
    \n collection_name="customized_setup_3",
    \n schema=schema,
    \n # highlight-next-line
    \n num_shards=1
    \n) <\/p>\n

    1.5.2\u00a0\u542f\u7528 mmap<\/h4>\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Milvus \u9ed8\u8ba4\u5728\u6240\u6709 Collections \u4e0a\u542f\u7528 mmap，\u5141\u8bb8 Milvus \u5c06\u539f\u59cb\u5b57\u6bb5\u6570\u636e\u6620\u5c04\u5230\u5185\u5b58\u4e2d，\u800c\u4e0d\u662f\u5b8c\u5168\u52a0\u8f7d\u5b83\u4eec\u3002\u8fd9\u6837\u53ef\u4ee5\u51cf\u5c11\u5185\u5b58\u5360\u7528，\u63d0\u9ad8 Collections \u7684\u5bb9\u91cf\u3002<\/p>\n

    # With mmap
    \nclient.create_collection(
    \n collection_name="customized_setup_4",
    \n schema=schema,
    \n # highlight-next-line
    \n enable_mmap=False
    \n)
    \nexport params='{
    \n "mmap.enabled": True
    \n}'<\/p>\n

    export CLUSTER_ENDPOINT="http:\/\/localhost:19530"
    \nexport TOKEN="root:Milvus"<\/p>\n

    curl –request POST \\\\
    \n–url "${CLUSTER_ENDPOINT}\/v2\/vectordb\/collections\/create" \\\\
    \n–header "Authorization: Bearer ${TOKEN}" \\\\
    \n–header "Content-Type: application\/json" \\\\
    \n-d "{
    \n \\\\"collectionName\\\\": \\\\"customized_setup_5\\\\",
    \n \\\\"schema\\\\": $schema,
    \n \\\\"params\\\\": $params
    \n}"<\/p>\n

    1.5.3\u00a0\u8bbe\u7f6e Collections TTL<\/h4>\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u5982\u679c\u67d0\u4e2a Collection \u4e2d\u7684\u6570\u636e\u9700\u8981\u5728\u7279\u5b9a\u65f6\u95f4\u6bb5\u5185\u4e22\u5f03，\u53ef\u4ee5\u8003\u8651\u8bbe\u7f6e\u5176 Time-To-Live (TTL)，\u5355\u4f4d\u4e3a\u79d2\u3002\u4e00\u65e6 TTL \u8d85\u65f6，Milvus \u5c31\u4f1a\u5220\u9664 Collection \u4e2d\u7684\u5b9e\u4f53\u3002\u5220\u9664\u662f\u5f02\u6b65\u7684，\u8fd9\u8868\u660e\u5728\u5220\u9664\u5b8c\u6210\u4e4b\u524d，\u641c\u7d22\u548c\u67e5\u8be2\u4ecd\u7136\u53ef\u4ee5\u8fdb\u884c\u3002\u4e0b\u9762\u7684\u4ee3\u7801\u7247\u6bb5\u5c06 TTL \u8bbe\u7f6e\u4e3a\u4e00\u5929（86400 \u79d2）\u3002\u5efa\u8bae\u81f3\u5c11\u5c06 TTL \u8bbe\u7f6e\u4e3a\u51e0\u5929\u3002<\/p>\n

    client.create_collection(
    \n collection_name="customized_setup_5",
    \n schema=schema,
    \n # highlight-start
    \n properties={
    \n "collection.ttl.seconds": 86400
    \n }
    \n # highlight-end
    \n)<\/p>\n

    1.5.4\u00a0\u8bbe\u7f6e\u4e00\u81f4\u6027\u7ea7\u522b<\/h4>\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u521b\u5efa Collections \u65f6，\u53ef\u4ee5\u4e3a\u96c6\u5408\u4e2d\u7684\u641c\u7d22\u548c\u67e5\u8be2\u8bbe\u7f6e\u4e00\u81f4\u6027\u7ea7\u522b\u3002\u60a8\u8fd8\u53ef\u4ee5\u5728\u7279\u5b9a\u641c\u7d22\u6216\u67e5\u8be2\u8fc7\u7a0b\u4e2d\u66f4\u6539 Collections \u7684\u4e00\u81f4\u6027\u7ea7\u522b\u3002<\/p>\n

    client.create_collection(
    \n collection_name="customized_setup_6",
    \n schema=schema,
    \n # highlight-next
    \n consistency_level="Bounded",
    \n) <\/p>\n

    1.5.5\u00a0\u542f\u7528\u52a8\u6001\u5b57\u6bb5<\/h4>\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Collections \u4e2d\u7684\u52a8\u6001\u5b57\u6bb5\u662f\u4e00\u4e2a\u4fdd\u7559\u7684 JavaScript Object Notation (JSON) \u5b57\u6bb5，\u540d\u4e3a$meta\u3002\u542f\u7528\u8be5\u5b57\u6bb5\u540e，Milvus \u4f1a\u5c06\u6bcf\u4e2a\u5b9e\u4f53\u4e2d\u643a\u5e26\u7684\u6240\u6709\u975e Schema \u5b9a\u4e49\u5b57\u6bb5\u53ca\u5176\u503c\u4f5c\u4e3a\u952e\u503c\u5bf9\u4fdd\u5b58\u5728\u4fdd\u7559\u5b57\u6bb5\u4e2d\u3002<\/p>\n

    2\u00a0\u5373\u65f6\u521b\u5efa Collections<\/h2>\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u901a\u8fc7\u8bbe\u7f6e\u540d\u79f0\u548c\u5411\u91cf\u573a\u7ef4\u5ea6，\u53ef\u4ee5\u7acb\u5373\u521b\u5efa\u4e00\u4e2a Collection\u3002\u521b\u5efa\u65f6，Milvus \u4f1a\u81ea\u52a8\u7d22\u5f15\u5411\u91cf\u573a\u5e76\u52a0\u8f7d Collections\u3002<\/p>\n

    \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0AIGC \u5e94\u7528\u7a0b\u5e8f\u901a\u5e38\u4f7f\u7528\u5411\u91cf\u6570\u636e\u5e93\u4f5c\u4e3a\u77e5\u8bc6\u5e93，\u7ba1\u7406\u7528\u6237\u4e0e\u5927\u578b\u8bed\u8a00\u6a21\u578b（LLMs）\u4ea4\u4e92\u8fc7\u7a0b\u4e2d\u4ea7\u751f\u7684\u6570\u636e\u3002\u8fd9\u4e9b\u77e5\u8bc6\u5e93\u51e0\u4e4e\u662f\u76f8\u4f3c\u7684\u3002\u4e3a\u4e86\u52a0\u5feb Milvus Collections \u5728\u6b64\u7c7b\u573a\u666f\u4e2d\u7684\u4f7f\u7528，\u6211\u4eec\u63d0\u4f9b\u4e86\u4e00\u79cd\u5373\u65f6\u65b9\u6cd5，\u53ea\u9700\u4e24\u4e2a\u53c2\u6570，\u5373 Collections \u540d\u79f0\u548c\u5411\u91cf\u573a\u7ef4\u5ea6，\u5373\u53ef\u521b\u5efa\u4e00\u4e2a Collection\u3002\u4f7f\u7528\u9ed8\u8ba4\u8bbe\u7f6e\u5373\u65f6\u521b\u5efa Collections \u65f6，\u4ee5\u4e0b\u8bbe\u7f6e\u9002\u7528：<\/p>\n

      \n
    • \u4e3b\u5b57\u6bb5\u548c\u5411\u91cf\u5b57\u6bb5\u88ab\u6dfb\u52a0\u5230 Schema \u4e2d（id\u548c\u5411\u91cf）\u3002<\/li>\n
    • \u4e3b\u5b57\u6bb5\u63a5\u53d7\u6574\u6570\u5e76\u7981\u7528AutoId\u3002<\/li>\n
    • \u5411\u91cf\u5b57\u6bb5\u63a5\u53d7\u6d6e\u52a8\u5411\u91cf Embeddings\u3002<\/li>\n
    • AUTOINDEX\u7528\u4e8e\u5728\u5411\u91cf\u5b57\u6bb5\u4e0a\u521b\u5efa\u7d22\u5f15\u3002<\/li>\n
    • COSINE\u7528\u4e8e\u6d4b\u91cf\u5411\u91cf\u5d4c\u5165\u4e4b\u95f4\u7684\u76f8\u4f3c\u6027\u3002<\/li>\n
    • \u542f\u7528\u540d\u4e3a$meta\u7684\u50a8\u5907\u52a8\u6001\u5b57\u6bb5，\u53ef\u5c06\u975e Schema \u5b9a\u4e49\u7684\u5b57\u6bb5\u53ca\u5176\u503c\u4fdd\u5b58\u4e3a\u952e\u503c\u5bf9\u3002<\/li>\n
    • \u8be5 Collections \u4f1a\u5728\u521b\u5efa\u65f6\u81ea\u52a8\u52a0\u8f7d\u3002<\/li>\n<\/ul>\n

      2.1\u00a0\u5feb\u901f\u8bbe\u7f6e<\/h3>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f，\u60a8\u53ea\u9700\u8f93\u5165\u96c6\u5408\u540d\u79f0\u548c\u5411\u91cf\u573a\u7ef4\u6570，\u5373\u53ef\u5373\u65f6\u521b\u5efa\u96c6\u5408\u3002<\/p>\n

      from pymilvus import MilvusClient, DataType<\/p>\n

      CLUSTER_ENDPOINT = "http:\/\/localhost:19530"
      \nTOKEN = "root:Milvus"<\/p>\n

      # 1. \u8bbe\u7f6e\u4e00\u4e2aMilvus\u5ba2\u6237\u7aef
      \nclient = MilvusClient(
      \n uri=CLUSTER_ENDPOINT,
      \n token=TOKEN
      \n)<\/p>\n

      # 2. \u5728\u5feb\u901f\u8bbe\u7f6e\u6a21\u5f0f\u4e0b\u521b\u5efa\u96c6\u5408
      \nclient.create_collection(
      \n collection_name="quick_setup",
      \n dimension=5
      \n)<\/p>\n

      res = client.get_load_state(
      \n collection_name="quick_setup"
      \n)<\/p>\n

      print(res)<\/p>\n

      # Output
      \n#
      \n# {
      \n# "state": "<LoadState: Loaded>"
      \n# } <\/p>\n

      2.2\u00a0\u4f7f\u7528\u81ea\u5b9a\u4e49\u5b57\u6bb5\u5feb\u901f\u8bbe\u7f6e<\/h3>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u5982\u679c\u9ed8\u8ba4\u7684\u5ea6\u91cf\u7c7b\u578b\u3001\u5b57\u6bb5\u540d\u79f0\u548c\u6570\u636e\u7c7b\u578b\u4e0d\u80fd\u6ee1\u8db3\u60a8\u7684\u9700\u6c42，\u60a8\u53ef\u4ee5\u6309\u4ee5\u4e0b\u65b9\u5f0f\u8c03\u6574\u8fd9\u4e9b\u8bbe\u7f6e\u3002<\/p>\n

      from pymilvus import MilvusClient, DataType<\/p>\n

      CLUSTER_ENDPOINT = "http:\/\/localhost:19530"
      \nTOKEN = "root:Milvus"<\/p>\n

      # 1. \u8bbe\u7f6e\u4e00\u4e2aMilvus\u5ba2\u6237\u7aef
      \nclient = MilvusClient(
      \n uri=CLUSTER_ENDPOINT,
      \n token=TOKEN
      \n)<\/p>\n

      # 2. \u5728\u5feb\u901f\u8bbe\u7f6e\u6a21\u5f0f\u4e0b\u521b\u5efa\u96c6\u5408
      \nclient.create_collection(
      \n collection_name="custom_quick_setup",
      \n dimension=5,
      \n primary_field_name="my_id",
      \n id_type="string",
      \n vector_field_name="my_vector",
      \n metric_type="L2",
      \n auto_id=True,
      \n max_length=512
      \n)<\/p>\n

      res = client.get_load_state(
      \n collection_name="custom_quick_setup"
      \n)<\/p>\n

      print(res)<\/p>\n

      # Output
      \n#
      \n# {
      \n# "state": "<LoadState: Loaded>"
      \n# }<\/p>\n","protected":false},"excerpt":{"rendered":"

      \u6587\u7ae0\u6d4f\u89c8\u9605\u8bfb824\u6b21\uff0c\u70b9\u8d5e15\u6b21\uff0c\u6536\u85cf14\u6b21\u3002Collection \u662f\u4e00\u4e2a\u4e8c\u7ef4\u8868\uff0c\u5177\u6709\u56fa\u5b9a\u7684\u5217\u548c\u53d8\u5316\u7684\u884c\u3002\u6bcf\u5217\u4ee3\u8868\u4e00\u4e2a\u5b57\u6bb5\uff0c\u6bcf\u884c\u4ee3\u8868\u4e00\u4e2a\u5b9e\u4f53\u3002\u8981\u5b9e\u73b0\u8fd9\u6837\u7684\u7ed3\u6784\u5316\u6570\u636e\u7ba1\u7406\uff0c\u9700\u8981\u4e00\u4e2a Schema\u3002\u8981\u63d2\u5165\u7684\u6bcf\u4e2a\u5b9e\u4f53\u90fd\u5fc5\u987b\u7b26\u5408 Schema \u4e2d\u5b9a\u4e49\u7684\u7ea6\u675f\u6761\u4ef6\u3002\u4f60\u53ef\u4ee5\u786e\u5b9a Collections \u7684\u65b9\u65b9\u9762\u9762\uff0c\u5305\u62ec\u5176 Schema\u3001\u7d22\u5f15\u53c2\u6570\u3001\u5ea6\u91cf\u7c7b\u578b\uff0c\u4ee5\u53ca\u662f\u5426\u5728\u521b\u5efa\u65f6\u52a0\u8f7d\uff0c\u4ee5\u786e\u4fdd\u96c6\u5408\u5b8c\u5168\u6ee1\u8db3\u4f60\u7684\u8981\u6c42\u3002\u8981\u521b\u5efa\u4e00\u4e2a Collection\uff0c\u60a8\u9700\u8981\u521b\u5efa Schema\u8bbe\u7f6e\u7d22\u5f15\u53c2\u6570\uff08\u53ef\u9009\uff09\u521b\u5efa Collections\u3002<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[247,1741],"topic":[],"class_list":["post-32984","post","type-post","status-publish","format-standard","hentry","category-server","tag-ai","tag-milvus"],"yoast_head":"\nMilvus\uff084\uff09\uff1a\u521b\u5efa Collections - 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