分享用 Docker swarm 快速部署分布式图数据库 Nebula Graph 集群

NebulaGraph · 2020年10月14日 · 229 次阅读

本文作者系：视野金服工程师｜吴海胜首发于 Nebula Graph 论坛：https://discuss.nebula-graph.com.cn/t/topic/1388

一、前言

本文介绍如何使用 Docker Swarm 来部署 Nebula Graph 集群，并部署客户端负载均衡和高可用。

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:

编辑 nebula.env，加入如下内容

TZ=UTC
USER=root

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

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

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

3.3 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。

我的小鱼你醒了还认识早晨吗昨夜你曾经说愿夜幕永不开启

如果你对本文有任何疑问，欢迎来论坛和原作者聊聊~~ 原帖地址：https://discuss.nebula-graph.com.cn/t/topic/1388

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分享 用 Docker swarm 快速部署分布式图数据库 Nebula Graph 集群

分享 用 Docker swarm 快速部署分布式图数据库 Nebula Graph 集群

一、前言

二、nebula 集群搭建

2.1 环境准备

2.2 初始化 swarm 集群

2.3 加入 worker 节点

2.4 验证集群

2.5 配置 docker stack

2.6 启动 nebula 集群

三、集群负载均衡及高可用配置

3.1 负载均衡配置

3.2 启动 haproxy

3.3 高可用配置

四、其他

分享用 Docker swarm 快速部署分布式图数据库 Nebula Graph 集群

分享用 Docker swarm 快速部署分布式图数据库 Nebula Graph 集群