用Docker swarm快速部署Nebula Graph集群的教程

站长资源 2024/11/23 佚名

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DDR爱好者之家 Design By 杰米

一、前言

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

二、nebula集群搭建

2.1 环境准备

机器准备

内存(Gb)

cpu(核数)

192.168.1.166

192.168.1.167

192.168.1.168

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。

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。

到此这篇关于用Docker swarm快速部署Nebula Graph集群的文章就介绍到这了,更多相关Docker 部署Nebula Graph集群内容请搜索以前的文章或继续浏览下面的相关文章希望大家以后多多支持！

Docker,部署Nebula,Graph集群,Docker,swarm快速部署

DDR爱好者之家 Design By 杰米

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用Docker swarm快速部署Nebula Graph集群的教程

intelli idea中配置Tomcat找不到的解决办法

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RTX 5090要首发性能要翻倍！三星展示GDDR7显存