docker-compose部署以及常用命令

一：常用命令

1.docker compose restart//重启
2.docker compose down// 停止
3.docker compose ps//列出
4.sudo docker-compose up -d 启动并且在后台运行

二:yaml配置文件

version: '3.5'
services:etcd:container_name: milvus-etcdimage: quay.io/coreos/etcd:v3.5.5-arm64restart: alwaysenvironment:- ETCD_AUTO_COMPACTION_MODE=revision- ETCD_AUTO_COMPACTION_RETENTION=1000- ETCD_QUOTA_BACKEND_BYTES=4294967296- ETCD_SNAPSHOT_COUNT=50000volumes:- ${DOCKER_VOLUME_DIRECTORY:-.}/data/volumes/etcd:/etcdcommand: etcd -advertise-client-urls=http://127.0.0.1:2379 -listen-client-urls http://0.0.0.0:2379 --data-dir /etcdminio:container_name: milvus-minioimage: minio/minio:latestrestart: alwaysenvironment:MINIO_ACCESS_KEY: minioadminMINIO_SECRET_KEY: minioadminvolumes:- ${DOCKER_VOLUME_DIRECTORY:-.}/data/volumes/minio:/minio_datacommand: minio server /minio_datahealthcheck:test: ["CMD", "curl", "-f", "http://localhost:9000/minio/health/live"]interval: 30stimeout: 20sretries: 3standalone:container_name: milvus-standaloneimage: milvusdb/milvus:latestrestart: alwayscommand: ["milvus", "run", "standalone"]environment:ETCD_ENDPOINTS: etcd:2379MINIO_ADDRESS: minio:9000swappiness: 0volumes:- ${DOCKER_VOLUME_DIRECTORY:-.}/conf/milvus/milvus.yaml:/milvus/configs/milvus.yaml- ${DOCKER_VOLUME_DIRECTORY:-.}/data/volumes/milvus:/var/lib/milvusports:- "19530:19530"- "9091:9091"depends_on:- "etcd"- "minio"doc_mongodb:image: artifacts.iflytek.com/docker-private/aimind/mongo:4.2.6container_name: doc_mongodbvolumes:- "/data/docqa/data/mongo/configdb/:/data/configdb/"- "/data/docqa/data/mongo/data/db/:/data/db/"restart: alwaysenvironment:- MONGO_INITDB_ROOT_USERNAME=aimind- MONGO_INITDB_ROOT_PASSWORD=mongoforaimind2021ports:- "27017:27017"doc-minio:container_name: doc-minioimage: minio/minio:latestrestart: alwaysenvironment:MINIO_ROOT_USER: minioadminMINIO_ROOT_PASSWORD: minioadminvolumes:- ${DOCKER_VOLUME_DIRECTORY:-.}/data/minio/data:/data- ${DOCKER_VOLUME_DIRECTORY:-.}/data/minio/config:/root/.miniocommand: server /data --console-address ":9090"ports:- "9001:9000"- "9090:9090"doc_es:image: artifacts.iflytek.com/docker-private/aimind/elasticsearch:8.4.1container_name: doc_esvolumes:- "/data/docqa/data/esdata/:/usr/share/elasticsearch/data"- "/data/docqa/conf/elasticsearch/plugins/:/usr/share/elasticsearch/plugins/"ports:- "19300:9300" - "19200:9200"restart: alwaysenvironment:- "discovery.type=single-node"- "ES_JAVA_OPTS=-Xms256m -Xmx16g"- xpack.security.enabled=false- bootstrap.memory_lock=true- cluster.routing.allocation.disk.threshold_enabled=falseulimits:memlock:soft: -1hard: -1doc_backend:depends_on:- etcd- minio- standalone- doc_mongodb- doc_esimage: artifacts.docqa:test.556container_name: doc_backendenvironment:- "SPRING_PROFILES_ACTIVE=dev"volumes:- "/var/run/docker.sock:/var/run/docker.sock"- "/usr/bin/docker:/bin/docker"- "/data/docqa/data/docqa/:/mnt/parastor/aimind"- "/data/docqa/conf/backend/application-dev.yml:/home/doc/application-dev.yml"ports:- "8906:8906"restart: alwaysdoc_frontend:depends_on:- doc_backendimage: artifacts.frontend-test:0.0.1-aimind--light-test.51container_name: doc_frontendvolumes:- "/data/docqa/conf/frontend/nginx.conf:/etc/nginx/nginx.conf"ports:- "30880:80"restart: alwaysdoc_sim:image: artifacts.sim:1.0.0container_name: doc_simports:- "8901:8901"restart: always    networks:default:name: doc

三：关于一些常见问题

1.docker-compose 会提示找不到命令行情况之一：

V1版本是用docker-compose up
V2版本是用docker compose up

2.docker-compose 会提示找不到命令行情况之二：

检查是否在可执行文件下一般docker-compose 需要放在可执行文件下并且赋予权限
1.which docker-compose #检查是否在可执行文件下
2./usr/local/bin/docker-compose #这个地方是可执行文件位置
3.sudo chmod +x /usr/local/bin/docker-compose

3.docker-compose 会提示找不到命令行情况之三：

1.docker要求版本是18以上
2.并且要有elep环境需要先安装
3.可能有些要有python环境我的是腾讯云opencloud8不需要安装这些

4.部署好后开放防火墙

# 允许 Milvus 端口通过防火墙
sudo ufw allow 19530/tcp
sudo ufw allow 9091/tcp

三：性能调优

调整系统参数
创建 /etc/sysctl.d/99-milvus.conf 文件

# 增加文件打开数量限制
fs.file-max = 1000000# 增加 TCP 连接数
net.core.somaxconn = 65535
net.ipv4.tcp_max_syn_backlog = 8192
net.ipv4.tcp_syncookies = 1# 提高网络性能
net.core.netdev_max_backlog = 65536
net.ipv4.tcp_fin_timeout = 10
net.ipv4.tcp_tw_reuse = 1
net.ipv4.tcp_max_tw_buckets = 5000