docker swarm 相关
一、docker swarm常用命令
docker swarm集群开放了三个端口：
2377端口， 用于集群管理通信
7946端口， 用于集群节点之间的通信
4789端口， 用于overlay网络流量
1、初始化swarm manager并制定网卡地址
docker swarm init --advertise-addr 192.168.10.10
Swarm initialized: current node (anvkkvtgrxloqwleiyjjsw2gh) is now a manager.
To add a worker to this swarm, run the following command:
docker swarm join --token SWMTKN-1-08ejd2bmn0yhns2cvgkpa0vnu095i4yc2t8jlbdqyvd3tekx6h-e5ore8jctvoycgw2vb1elne2z 192.168.110.82:2377
To add a manager to this swarm, run 'docker swarm join-token manager' and follow the instructions.
2、强制删除集群，如果是manager，需要添加 --force、
docker swarm leave --force
docker node rm node1 --force
# 在manager节点上执行
docker swarm update
3、查看swarm worker的连接令牌
docker swarm join-token worker
4、查看swarm manager的连接令牌
docker swarm join-token manager
5、使旧令牌无效并生成新令牌
docker swarm join-token --rotate
docker node inspect node1 --pretty
6、将节点升级为manager
docker node promote node1
7、将节点降级为worker
docker node demote node1
8、查看服务列表
docker service ls
9、查看服务的具体信息
docker service ps nginx
10、创建一个指定name、version、run cmd的服务
docker service create --name helloworld alping:3.6 ping docker.com
11、创建一个指定name、port、replicas的服务
docker service create --name my_web --replicas 3 -p 80:80 nginx
12、为指定的服务更新一个端口
docker service update --publish-add 80:80 my_web
13、为指定的服务删除一个端口
docker service update --publish-rm 80:80 my_web
14、将redis:3.0.6更新至redis:3.0.7
docker service update --image redis:3.0.7 redis
15、配置运行环境，指定工作目录及环境变量
docker service create --name helloworld --env MYVAR=myvalue --workdir /tmp --user my_user alping ping docker.com
16、更新helloworld服务的运行命令
docker service update --args "ping www.baidu.com" helloworld
17、创建一个overlay网络
docker network create --driver overlay my_network
docker network create --driver overlay --subnet 10.10.10.0/24 --gateway 10.10.10.1 my-network
docker service create --name test --replicas 3 --network my-network redis
docker service update --network-rm my-network test
docker service update --network-add my_network test
18、创建群组并配置cpu和内存
docker service create --name my_nginx --reserve-cpu 2 --reserve-memory 512m --replicas 3 nginx
docker service update --reserve-cpu 1 --reserve-memory 256m my_nginx
19、更新配置
docker config ls
docker config inspect mysql
docker config rm mysql
docker service update --config-add mysql mysql
docker service update --config-rm mysql mysql
docker config create homepage index.html
docker service create --name nginx --publish 80:80 --replicas 3 --config src=homepage,target=/usr/share/nginx/html/index.html nginx
20、使用编排文件
version: '3.5'
networks:
kafka_net_218aacad-5a9d-4f70-86a4-309031c76ea8:
driver: overlay
name: kafaka_net_218aacad-5a9d-4f70-86a4-309031c76ea8
services:
my_kafka1:
depends_on:
- my_kafka_zk1
- my_kafka_zk2
- my_kafka_zk3
environment:
KAFKA_ADVERTISED_HOST_NAME: 192.168.21.192
KAFKA_ADVERTISED_PORT: 20229
KAFKA_BROKER_ID: 1
KAFKA_ZOOKEEPER_CONNECT: my_kafka_zk1:2181,my_kafka_zk2:2181,my_kafka_zk3:2181,
healthcheck:
interval: 5s
retries: 30
test:
- CMD
- nc
- -z
- my_kafka_zk1
- '2181'
timeout: 10s
image: 192.168.21.12:5000/tmp/kafka:2.12-2.1.0
labels:
- com.tmp.kafka.role=kafka
networks:
kafka_net_218aacad-5a9d-4f70-86a4-309031c76ea8:
aliases:
- my_kafka1
ports:
- mode: ingress
protocol: tcp
published: 20229
target: 9092
my_kafka2:
depends_on:
- my_kafka_zk1
- my_kafka_zk2
- my_kafka_zk3
environment:
KAFKA_ADVERTISED_HOST_NAME: 192.168.21.192
KAFKA_ADVERTISED_PORT: 20230
KAFKA_BROKER_ID: 2
KAFKA_ZOOKEEPER_CONNECT: my_kafka_zk1:2181,my_kafka_zk2:2181,my_kafka_zk3:2181,
healthcheck:
interval: 5s
retries: 30
test:
- CMD
- nc
- -z
- my_kafka_zk1
- '2181'
timeout: 10s
image: 192.168.21.12:5000/tmp/kafka:2.12-2.1.0
labels:
- com.tmp.kafka.role=kafka
networks:
kafka_net_218aacad-5a9d-4f70-86a4-309031c76ea8:
aliases:
- my_kafka2
ports:
- mode: ingress
protocol: tcp
published: 20230
target: 9092
my_kafka3:
depends_on:
- my_kafka_zk1
- my_kafka_zk2
- my_kafka_zk3
environment:
KAFKA_ADVERTISED_HOST_NAME: 192.168.21.192
KAFKA_ADVERTISED_PORT: 20231
KAFKA_BROKER_ID: 3
KAFKA_ZOOKEEPER_CONNECT: my_kafka_zk1:2181,my_kafka_zk2:2181,my_kafka_zk3:2181,
healthcheck:
interval: 5s
retries: 30
test:
- CMD
- nc
- -z
- my_kafka_zk1
- '2181'
timeout: 10s
image: 192.168.21.12:5000/tmp/kafka:2.12-2.1.0
labels:
- com.tmp.kafka.role=kafka
networks:
kafka_net_218aacad-5a9d-4f70-86a4-309031c76ea8:
aliases:
- my_kafka3
ports:
- mode: ingress
protocol: tcp
published: 20231
target: 9092
my_kafka_kafka-manager:
depends_on:
- my_kafka_zk1
- my_kafka_zk2
- my_kafka_zk3
environment:
ZK_HOSTS: my_kafka_zk1:2181,my_kafka_zk2:2181,my_kafka_zk3:2181,
healthcheck:
interval: 10s
retries: 30
test:
- CMD-SHELL
- curl 127.0.0.1:9000 | grep Active
timeout: 15s
image: 192.168.21.12:5000/tmp/kafka-manager:1.3.1.8
labels:
- com.tmp.kafka.role=kafka_manager
networks:
kafka_net_218aacad-5a9d-4f70-86a4-309031c76ea8:
aliases:
- my_kafka_kafka-manager
ports:
- mode: ingress
protocol: tcp
published: 20232
target: 9000
my_kafka_zk1:
environment:
ZOO_MY_ID: 1
ZOO_SERVERS: server.1=my_kafka_zk1:2888:3888 server.2=my_kafka_zk2:2888:3888
server.3=my_kafka_zk3:2888:3888
hostname: my_kafka_zk1
image: 192.168.21.12:5000/tmp/zookeeper:3.4.13
labels:
- com.tmp.kafka.role=zookeeper
networks:
kafka_net_218aacad-5a9d-4f70-86a4-309031c76ea8:
aliases:
- my_kafka_zk1
ports:
- mode: ingress
protocol: tcp
published: 20226
target: 2181
my_kafka_zk2:
environment:
ZOO_MY_ID: 2
ZOO_SERVERS: server.1=my_kafka_zk1:2888:3888 server.2=my_kafka_zk2:2888:3888
server.3=my_kafka_zk3:2888:3888
hostname: my_kafka_zk2
image: 192.168.21.12:5000/tmp/zookeeper:3.4.13
labels:
- com.tmp.kafka.role=zookeeper
networks:
kafka_net_218aacad-5a9d-4f70-86a4-309031c76ea8:
aliases:
- my_kafka_zk2
ports:
- mode: ingress
protocol: tcp
published: 20227
target: 2181
my_kafka_zk3:
environment:
ZOO_MY_ID: 3
ZOO_SERVERS: server.1=my_kafka_zk1:2888:3888 server.2=my_kafka_zk2:2888:3888
server.3=my_kafka_zk3:2888:3888
hostname: my_kafka_zk3
image: 192.168.21.12:5000/tmp/zookeeper:3.4.13
labels:
- com.tmp.kafka.role=zookeeper
networks:
kafka_net_218aacad-5a9d-4f70-86a4-309031c76ea8:
aliases:
- my_kafka_zk3
ports:
- mode: ingress
protocol: tcp
published: 20228
target: 2181
docker stack deploy -c kafka.yaml my_kafka