用Docker swarm快速部署Nebula Graph集群的教程

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一、前言

本文介绍如何使用 Docker Swarm 来部署 Nebula Graph 集群。

用Docker swarm快速部署Nebula Graph集群的教程

二、nebula集群搭建

2.1 环境准备

机器准备

ip

内存(Gb)

cpu(核数)

192.168.1.166

16

4

192.168.1.167

16

4

192.168.1.168

16

4

在安装前确保所有机器已安装docker

2.2 初始化swarm集群

在192.168.1.166机器上执行

$ docker swarm init --advertise-addr 192.168.1.166
Swarm initialized: current node (dxn1zf6l61qsb1josjja83ngz) is now a manager.
To add a worker to this swarm, run the following command:
 docker swarm join  --token SWMTKN-1-49nj1cmql0jkz5s954yi3oex3nedyz0fb0xx14ie39trti4wxv-8vxv8rssmk743ojnwacrr2e7c  192.168.1.166:2377
 
To add a manager to this swarm, run 'docker swarm join-token manager' and follow the instructions.

2.3 加入worker节点

根据init命令提示内容，加入swarm worker节点，在192.168.1.167 192.168.1.168分别执行

docker swarm join  --token SWMTKN-1-49nj1cmql0jkz5s954yi3oex3nedyz0fb0xx14ie39trti4wxv-8vxv8rssmk743ojnwacrr2e7c  192.168.1.166:2377

2.4 验证集群

docker node ls
 
ID       HOSTNAME   STATUS    AVAILABILITY  MANAGER STATUS  ENGINE VERSION
h0az2wzqetpwhl9ybu76yxaen * KF2-DATA-166  Ready    Active    Reachable   18.06.1-ce
q6jripaolxsl7xqv3cmv5pxji  KF2-DATA-167  Ready    Active    Leader    18.06.1-ce
h1iql1uvm7123h3gon9so69dy  KF2-DATA-168  Ready    Active         18.06.1-ce

2.5 配置docker stack

vi docker-stack.yml

配置如下内容

 version: '3.6'
 services:
  metad0:
  image: vesoft/nebula-metad:nightly
  env_file:
   - ./nebula.env
  command:
   - --meta_server_addrs=192.168.1.166:45500,192.168.1.167:45500,192.168.1.168:45500
   - --local_ip=192.168.1.166
  - --ws_ip=192.168.1.166
  - --port=45500
  - --data_path=/data/meta
  - --log_dir=/logs
  - --v=0
  - --minloglevel=2
  deploy:
  replicas: 1
  restart_policy:
   condition: on-failure
  placement:
  constraints:
   - node.hostname == KF2-DATA-166
 healthcheck:
  test: ["CMD", "curl", "-f", "http://192.168.1.166:11000/status"]
  interval: 30s
  timeout: 10s
  retries: 3
  start_period: 20s
 ports:
  - target: 11000
   published: 11000
   protocol: tcp
  mode: host
  - target: 11002
   published: 11002
   protocol: tcp
  mode: host
  - target: 45500
   published: 45500
  protocol: tcp
   mode: host
 volumes:
  - data-metad0:/data/meta
  - logs-metad0:/logs
 networks:
  - nebula-net
 
 metad1:
 image: vesoft/nebula-metad:nightly
  env_file:
  - ./nebula.env
 command:
  - --meta_server_addrs=192.168.1.166:45500,192.168.1.167:45500,192.168.1.168:45500
  - --local_ip=192.168.1.167
  - --ws_ip=192.168.1.167
  - --port=45500
  - --data_path=/data/meta
  - --log_dir=/logs
  - --v=0
  - --minloglevel=2
 deploy:
  replicas: 1
  restart_policy:
   condition: on-failure
  placement:
   constraints:
   - node.hostname == KF2-DATA-167
  healthcheck:
  test: ["CMD", "curl", "-f", "http://192.168.1.167:11000/status"]
  interval: 30s
  timeout: 10s
  retries: 3
 start_period: 20s
  ports:
  - target: 11000
   published: 11000
  protocol: tcp
   mode: host
  - target: 11002
   published: 11002
  protocol: tcp
   mode: host
  - target: 45500
   published: 45500
   protocol: tcp
   mode: host
 volumes:
  - data-metad1:/data/meta
  - logs-metad1:/logs
 networks:
  - nebula-net

 metad2:
  image: vesoft/nebula-metad:nightly
 env_file:
  - ./nebula.env
 command:
  - --meta_server_addrs=192.168.1.166:45500,192.168.1.167:45500,192.168.1.168:45500
  - --local_ip=192.168.1.168
  - --ws_ip=192.168.1.168
  - --port=45500
  - --data_path=/data/meta
  - --log_dir=/logs
  - --v=0
  - --minloglevel=2
  deploy:
  replicas: 1
  restart_policy:
   condition: on-failure
  placement:
   constraints:
   - node.hostname == KF2-DATA-168
  healthcheck:
  test: ["CMD", "curl", "-f", "http://192.168.1.168:11000/status"]
  interval: 30s
  timeout: 10s
  retries: 3
  start_period: 20s
  ports:
  - target: 11000
   published: 11000
   protocol: tcp
   mode: host
  - target: 11002
   published: 11002
   protocol: tcp
   mode: host
  - target: 45500
   published: 45500
   protocol: tcp
   mode: host
  volumes:
  - data-metad2:/data/meta
  - logs-metad2:/logs
  networks:
  - nebula-net
 
 storaged0:
  image: vesoft/nebula-storaged:nightly
  env_file:
  - ./nebula.env
  command:
  - --meta_server_addrs=192.168.1.166:45500,192.168.1.167:45500,192.168.1.168:45500
  - --local_ip=192.168.1.166
  - --ws_ip=192.168.1.166
  - --port=44500
  - --data_path=/data/storage
  - --log_dir=/logs
  - --v=0
  - --minloglevel=2
  deploy:
  replicas: 1
  restart_policy:
   condition: on-failure
  placement:
   constraints:
   - node.hostname == KF2-DATA-166
  depends_on:
  - metad0
  - metad1
  - metad2
  healthcheck:
  test: ["CMD", "curl", "-f", "http://192.168.1.166:12000/status"]
  interval: 30s
  timeout: 10s
  retries: 3
  start_period: 20s
  ports:
  - target: 12000
   published: 12000
   protocol: tcp
   mode: host
  - target: 12002
   published: 12002
   protocol: tcp
   mode: host
  volumes:
  - data-storaged0:/data/storage
  - logs-storaged0:/logs
  networks:
  - nebula-net
 storaged1:
  image: vesoft/nebula-storaged:nightly
  env_file:
  - ./nebula.env
  command:
  - --meta_server_addrs=192.168.1.166:45500,192.168.1.167:45500,192.168.1.168:45500
  - --local_ip=192.168.1.167
  - --ws_ip=192.168.1.167
  - --port=44500
  - --data_path=/data/storage
  - --log_dir=/logs
  - --v=0
  - --minloglevel=2
  deploy:
  replicas: 1
  restart_policy:
   condition: on-failure
  placement:
   constraints:
   - node.hostname == KF2-DATA-167
  depends_on:
  - metad0
  - metad1
  - metad2
  healthcheck:
  test: ["CMD", "curl", "-f", "http://192.168.1.167:12000/status"]
  interval: 30s
  timeout: 10s
  retries: 3
  start_period: 20s
  ports:
  - target: 12000
   published: 12000
   protocol: tcp
   mode: host
  - target: 12002
   published: 12004
   protocol: tcp
   mode: host
  volumes:
  - data-storaged1:/data/storage
  - logs-storaged1:/logs
  networks:
  - nebula-net
 
 storaged2:
  image: vesoft/nebula-storaged:nightly
  env_file:
  - ./nebula.env
  command:
  - --meta_server_addrs=192.168.1.166:45500,192.168.1.167:45500,192.168.1.168:45500
  - --local_ip=192.168.1.168
  - --ws_ip=192.168.1.168
  - --port=44500
  - --data_path=/data/storage
  - --log_dir=/logs
  - --v=0
  - --minloglevel=2
  deploy:
  replicas: 1
  restart_policy:
   condition: on-failure
  placement:
   constraints:
   - node.hostname == KF2-DATA-168
  depends_on:
  - metad0
  - metad1
  - metad2
  healthcheck:
  test: ["CMD", "curl", "-f", "http://192.168.1.168:12000/status"]
  interval: 30s
  timeout: 10s
  retries: 3
  start_period: 20s
  ports:
  - target: 12000
   published: 12000
   protocol: tcp
   mode: host
  - target: 12002
   published: 12006
   protocol: tcp
   mode: host
  volumes:
  - data-storaged2:/data/storage
  - logs-storaged2:/logs
  networks:
  - nebula-net
 graphd1:
  image: vesoft/nebula-graphd:nightly
  env_file:
  - ./nebula.env
  command:
  - --meta_server_addrs=192.168.1.166:45500,192.168.1.167:45500,192.168.1.168:45500
  - --port=3699
  - --ws_ip=192.168.1.166
  - --log_dir=/logs
  - --v=0
  - --minloglevel=2
  deploy:
  replicas: 1
  restart_policy:
   condition: on-failure
  placement:
   constraints:
   - node.hostname == KF2-DATA-166
  depends_on:
  - metad0
  - metad1
  - metad2
  healthcheck:
  test: ["CMD", "curl", "-f", "http://192.168.1.166:13000/status"]
  interval: 30s
  timeout: 10s
  retries: 3
  start_period: 20s
  ports:
  - target: 3699
   published: 3699
   protocol: tcp
   mode: host
  - target: 13000
   published: 13000
   protocol: tcp
 #  mode: host
  - target: 13002
   published: 13002
   protocol: tcp
   mode: host
  volumes:
  - logs-graphd:/logs
  networks:
  - nebula-net
 
 graphd2:
  image: vesoft/nebula-graphd:nightly
  env_file:
  - ./nebula.env
  command:
  - --meta_server_addrs=192.168.1.166:45500,192.168.1.167:45500,192.168.1.168:45500
  - --port=3699
  - --ws_ip=192.168.1.167
  - --log_dir=/logs
  - --v=2
  - --minloglevel=2
  deploy:
  replicas: 1
  restart_policy:
   condition: on-failure
  placement:
   constraints:
   - node.hostname == KF2-DATA-167
  depends_on:
  - metad0
  - metad1
  - metad2
  healthcheck:
  test: ["CMD", "curl", "-f", "http://192.168.1.167:13001/status"]
  interval: 30s
  timeout: 10s
  retries: 3
  start_period: 20s
  ports:
  - target: 3699
   published: 3640
   protocol: tcp
   mode: host
  - target: 13000
   published: 13001
   protocol: tcp
   mode: host
  - target: 13002
   published: 13003
   protocol: tcp
 #  mode: host
  volumes:
  - logs-graphd2:/logs
  networks:
  - nebula-net
 graphd3:
  image: vesoft/nebula-graphd:nightly
  env_file:
  - ./nebula.env
  command:
  - --meta_server_addrs=192.168.1.166:45500,192.168.1.167:45500,192.168.1.168:45500
  - --port=3699
  - --ws_ip=192.168.1.168
  - --log_dir=/logs
  - --v=0
  - --minloglevel=2
  deploy:
  replicas: 1
  restart_policy:
   condition: on-failure
  placement:
   constraints:
   - node.hostname == KF2-DATA-168
  depends_on:
  - metad0
  - metad1
  - metad2
  healthcheck:
  test: ["CMD", "curl", "-f", "http://192.168.1.168:13002/status"]
  interval: 30s
  timeout: 10s
  retries: 3
  start_period: 20s
  ports:
  - target: 3699
   published: 3641
   protocol: tcp
   mode: host
  - target: 13000
   published: 13002
   protocol: tcp
 #  mode: host
  - target: 13002
   published: 13004
   protocol: tcp
   mode: host
  volumes:
  - logs-graphd3:/logs
  networks:
  - nebula-net
 networks:
 nebula-net:
  external: true
  attachable: true
  name: host
 volumes:
 data-metad0:
 logs-metad0:
 data-metad1:
 logs-metad1:
 data-metad2:
 logs-metad2:
 data-storaged0:
 logs-storaged0:
 data-storaged1:
 logs-storaged1:
 data-storaged2:
 logs-storaged2:
 logs-graphd:
 logs-graphd2:
 logs-graphd3:
docker-stack.yml

编辑 nebula.env

加入如下内容

 TZ=UTC
USER=root

nebula.env

2.6 启动nebula集群

docker stack deploy nebula -c docker-stack.yml

三、集群负载均衡及高可用配置

Nebula Graph的客户端目前(1.X)没有提供负载均衡的能力，只是随机选一个graphd去连接。所以生产使用的时候要自己做个负载均衡和高可用。

用Docker swarm快速部署Nebula Graph集群的教程

图3.1

将整个部署架构分为三层，数据服务层，负载均衡层及高可用层。如图3.1所示

负载均衡层：对client请求做负载均衡，将请求分发至下方数据服务层

高可用层: 这里实现的是haproxy的高可用，保证负载均衡层的服务从而保证整个集群的正常服务

3.1 负载均衡配置

haproxy使用docker-compose配置。分别编辑以下三个文件

Dockerfile 加入以下内容

FROM haproxy:1.7
 COPY haproxy.cfg /usr/local/etc/haproxy/haproxy.cfg
EXPOSE 3640

Dockerfile

docker-compose.yml加入以下内容

 version: "3.2"
 services:
 haproxy:
  container_name: haproxy
  build: .
  volumes:
  - ./haproxy.cfg:/usr/local/etc/haproxy/haproxy.cfg
  ports:
  - 3640:3640
  restart: always
  networks:
  - app_net
 networks:
 app_net:
  external: true

docker-compose.yml

haproxy.cfg加入以下内容

global
  daemon
  maxconn 30000
  log 127.0.0.1 local0 info
 log 127.0.0.1 local1 warning

 defaults
 log-format %hr\ %ST\ %B\ %Ts
 log global
  mode http
  option http-keep-alive
  timeout connect 5000ms
  timeout client 10000ms
  timeout server 50000ms
  timeout http-request 20000ms
 
 # custom your own frontends && backends && listen conf
 #CUSTOM
 
 listen graphd-cluster
  bind *:3640
  mode tcp
  maxconn 300
  balance roundrobin
  server server1 192.168.1.166:3699 maxconn 300 check
  server server2 192.168.1.167:3699 maxconn 300 check
  server server3 192.168.1.168:3699 maxconn 300 check
 
 listen stats
  bind *:1080
  stats refresh 30s
  stats uri /stats

3.2 启动haproxy

docker-compose up -d

3.2 高可用配置

注：配置keepalive需预先准备好vip (虚拟ip)，在以下配置中192.168.1.99便为虚拟ip

在192.168.1.166 、192.168.1.167、192.168.1.168上均做以下配置

安装keepalived

apt-get update && apt-get upgrade && apt-get install keepalived -y

更改keepalived配置文件/etc/keepalived/keepalived.conf（三台机器中 做如下配置，priority应设置不同值确定优先级）

192.168.1.166机器配置

 global_defs {
  router_id lb01 #标识信息，一个名字而已；
 }
 vrrp_script chk_haproxy {
  script "killall -0 haproxy" interval 2
 }
 vrrp_instance VI_1 {
  state MASTER
  interface ens160
  virtual_router_id 52
  priority 999
  # 设定MASTER与BACKUP负载均衡器之间同步检查的时间间隔，单位是秒
  advert_int 1
  # 设置验证类型和密码
  authentication {
  # 设置验证类型，主要有PASS和AH两种
   auth_type PASS
  # 设置验证密码，在同一个vrrp_instance下，MASTER与BACKUP必须使用相同的密码才能正常通信
   auth_pass amber1
  }
  virtual_ipaddress {
   # 虚拟IP为192.168.1.99/24;绑定接口为ens160;别名ens169:1，主备相同
   192.168.1.99/24 dev ens160 label ens160:1
  }
  track_script {
   chk_haproxy
  }
 }

167机器配置

 global_defs {
  router_id lb01 #标识信息，一个名字而已；
 }
 vrrp_script chk_haproxy {
  script "killall -0 haproxy" interval 2
 }
 vrrp_instance VI_1 {
  state BACKUP
  interface ens160
  virtual_router_id 52
  priority 888
  # 设定MASTER与BACKUP负载均衡器之间同步检查的时间间隔，单位是秒
  advert_int 1
  # 设置验证类型和密码
  authentication {
  # 设置验证类型，主要有PASS和AH两种
   auth_type PASS
  # 设置验证密码，在同一个vrrp_instance下，MASTER与BACKUP必须使用相同的密码才能正常通信
   auth_pass amber1
  }
  virtual_ipaddress {
   # 虚拟IP为192.168.1.99/24;绑定接口为ens160;别名ens160:1，主备相同
   192.168.1.99/24 dev ens160 label ens160:1
  }
  track_script {
   chk_haproxy
  }
 }

168机器配置

 global_defs {
  router_id lb01 #标识信息，一个名字而已；
 }
 vrrp_script chk_haproxy {
  script "killall -0 haproxy" interval 2
 }
 vrrp_instance VI_1 {
  state BACKUP
  interface ens160
  virtual_router_id 52
  priority 777
  # 设定MASTER与BACKUP负载均衡器之间同步检查的时间间隔，单位是秒
  advert_int 1
  # 设置验证类型和密码
  authentication {
  # 设置验证类型，主要有PASS和AH两种
   auth_type PASS
  # 设置验证密码，在同一个vrrp_instance下，MASTER与BACKUP必须使用相同的密码才能正常通信
   auth_pass amber1
  }
  virtual_ipaddress {
   # 虚拟IP为192.168.1.99/24;绑定接口为ens160;别名ens160:1，主备相同
   192.168.1.99/24 dev ens160 label ens160:1
  }
  track_script {
   chk_haproxy
  }
 }

keepalived相关命令

# 启动keepalived
systemctl start keepalived
# 使keepalived开机自启
systemctl enable keeplived
# 重启keepalived
systemctl restart keepalived

四、其他

离线怎么部署？把镜像更改为私有镜像库就成了，有问题欢迎来勾搭啊。

用Docker swarm快速部署Nebula Graph集群的教程

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