1 创建工作目录 D:\home\milvus2 创建文件 docker-compose.yml内容services:etcd:container_name: milvus-etcdimage: quay.io/coreos/etcd:v3.5.5environment:- ETCD_AUTO_COMPACTION_MODErevision- ETCD_AUTO_COMPACTION_RETENTION1000- ETCD_QUOTA_BACKEND_BYTES4294967296volumes:- ./etcd:/etcd-datacommand: etcd -advertise-client-urlshttp://127.0.0.1:2379 -listen-client-urlshttp://0.0.0.0:2379 --data-dir/etcd-datarestart: alwaysminio:container_name: milvus-minioimage: minio/minio:RELEASE.2023-03-20T20-16-18Zenvironment:MINIO_ACCESS_KEY: minioadminMINIO_SECRET_KEY: minioadminvolumes:- ./minio:/minio_datacommand: minio server /minio_datarestart: alwaysmilvus:container_name: milvus-standaloneimage: milvusdb/milvus:v2.4.5command: [milvus, run, standalone]environment:ETCD_ENDPOINTS: etcd:2379MINIO_ADDRESS: minio:9000volumes:- ./milvus:/var/lib/milvusports:- 19530:19530- 9091:9091depends_on:- etcd- miniorestart: alwaysattu:image: zilliz/attu:v2.4container_name: milvus-attuports:- 8000:3000environment:MILVUS_URL: milvus:19530depends_on:- milvusrestart: always2 power shell cd D:\home\milvus执行 docker-compose up -d 然后等待启动3个容器milvus-etcd: 元数据存储milvus-minio: 对象存储milvus-standalone: Milvus 服务器3停止服务 docker-compose down查看日志 docker-compose logs -f重启服务 docker-compose restartPython 客户端示例pip install pymilvusfrom pymilvus import MilvusClient# Authentication not enabledclient MilvusClient(http://localhost:19530)client.create_collection(collection_nametest_collection, dimension5)client.insert(collection_nametest_collection,data[{id: 0, vector: [0.3580376395471989, -0.6023495712049978, 0.18414012509913835, -0.26286205330961354, 0.9029438446296592], color: pink_8682},{id: 1, vector: [0.19886812562848388, 0.06023560599112088, 0.6976963061752597, 0.2614474506242501, 0.838729485096104], color: red_7025},{id: 2, vector: [0.43742130801983836, -0.5597502546264526, 0.6457887650909682, 0.7894058910881185, 0.20785793220625592], color: orange_6781},{id: 3, vector: [0.3172005263489739, 0.9719044792798428, -0.36981146090600725, -0.4860894583077995, 0.95791889146345], color: pink_9298},{id: 4, vector: [0.4452349528804562, -0.8757026943054742, 0.8220779437047674, 0.46406290649483184, 0.30337481143159106], color: red_4794},{id: 5, vector: [0.985825131989184, -0.8144651566660419, 0.6299267002202009, 0.1206906911183383, -0.1446277761879955], color: yellow_4222},{id: 6, vector: [0.8371977790571115, -0.015764369584852833, -0.31062937026679327, -0.562666951622192, -0.8984947637863987], color: red_9392},{id: 7, vector: [-0.33445148015177995, -0.2567135004164067, 0.8987539745369246, 0.9402995886420709, 0.5378064918413052], color: grey_8510},{id: 8, vector: [0.39524717779832685, 0.4000257286739164, -0.5890507376891594, -0.8650502298996872, -0.6140360785406336], color: white_9381},{id: 9, vector: [0.5718280481994695, 0.24070317428066512, -0.3737913482606834, -0.06726932177492717, -0.6980531615588608], color: purple_4976}],)res client.get(collection_nametest_collection,ids1)print(res)(milvus-docker) D:\node_test\milvus-dockeruv run main.pydata: [{id: 1, vector: [np.float32(0.19886813), np.float32(0.060235605), np.float32(0.6976963), np.float32(0.26144746), np.float32(0.8387295)], color: red_7025}]
