集群部署
注意:
仅企业版以上支持。
本文档以172.16.4.13、172.16.4.12、172.16.4.11三台服务器来搭建集群。
redis集群安装配置
这里准备在一台服务器上搭建一个三主三从的redis集群。
- 安装redis 先,本文档以redis5.0.5为例。
下载完成后进行解压、编译、安装。
注意:
redis是由C语言编写的,它的运行需要C环境,所以编译前需安装 gcc。
- 新建一个cluster文件夹,用来存放集群节点目录。
分别在172.16.4.11上创建7000、7003、7001、7004、7002、7005六文件夹,,这些节点分别使用7000、7003、7001、7004、7002、7005端口,以7000节点为例配置如下:
其他节点只需修改端口和文件名,依次按此进行配置即可,配置完成后启动节点。
注意:
- 主从节点分配
注意:
其中-replicas 1表示每个主节点1个从节点
- 查看集群节点信息
ops@jetlinks-server-3:~/data/redis-5.0.5$ redis-cli -h 172.16.4.11 -p 7000 cluster nodes
562558e5afa0575d1059c47b9531a37cd75a9190 172.16.4.11:7003@17003 slave 9174a3ebcdbda174ec9189fbae0e38d9bbeeff5f 0 1594368796612 4 connected
bd974dbdd2f8447b27375c832c4c9c99328f4487 172.16.4.11:7005@17005 slave 3ab893f4cdcfaa52254a8cece2b54b561de29990 0 1594368797514 6 connected
9174a3ebcdbda174ec9189fbae0e38d9bbeeff5f 172.16.4.11:7002@17002 master - 0 1594368797615 3 connected 10923-16383
3ab893f4cdcfaa52254a8cece2b54b561de29990 172.16.4.11:7001@17001 master - 0 1594368797000 2 connected 5461-10922
238585a079196b0ab15ebb47ac681d42c083cdaf 172.16.4.11:7000@17000 myself,master - 0 1594368796000 1 connected 0-5460
d1ae6c623694c5f1fafc64d7abbeac4a9926ff49 172.16.4.11:7004@17004 slave 238585a079196b0ab15ebb47ac681d42c083cdaf 0 1594368796000 5 connected
redis集群搭建请参考redis官方文档 (opens new window)
- 分别在三台服务器上安装elasticsearch 前往官网。
下载完成后安装es。 - 配置elasticsearch.yml文件
ops@jetlinks-server-3:~/elasticsearch/config$ sudo vi elasticsearch.yml
# ======================== Elasticsearch Configuration =========================
#
# NOTE: Elasticsearch comes with reasonable defaults for most settings.
# Before you set out to tweak and tune the configuration, make sure you
# understand what are you trying to accomplish and the consequences.
#
# The primary way of configuring a node is via this file. This template lists
# the most important settings you may want to configure for a production cluster.
#
# Please consult the documentation for further information on configuration options:
# https://www.elastic.co/guide/en/elasticsearch/reference/index.html
#
# ---------------------------------- Cluster -----------------------------------
#
# Use a descriptive name for your cluster:
#
cluster.name: es-cluster
#
# ------------------------------------ Node ------------------------------------
#
# Use a descriptive name for the node:
#
node.name: node-3
#
# Add custom attributes to the node:
#
#node.attr.rack: r1
#
# ----------------------------------- Paths ------------------------------------
#
# Path to directory where to store the data (separate multiple locations by comma):
#
#path.data: /path/to/data
#
# Path to log files:
#
#path.logs: /path/to/logs
#
# ----------------------------------- Memory -----------------------------------
#
# Lock the memory on startup:
#
#bootstrap.memory_lock: true
#
# Make sure that the heap size is set to about half the memory available
# on the system and that the owner of the process is allowed to use this
# limit.
#
# Elasticsearch performs poorly when the system is swapping the memory.
# ---------------------------------- Network -----------------------------------
#
# Set the bind address to a specific IP (IPv4 or IPv6):
#
network.host: 172.16.4.11
transport.tcp.port: 9300
# Set a custom port for HTTP:
#
http.port: 9200
#
# For more information, consult the network module documentation.
#
# --------------------------------- Discovery ----------------------------------
#
# Pass an initial list of hosts to perform discovery when new node is started:
# The default list of hosts is ["127.0.0.1", "[::1]"]
#
discovery.zen.ping.unicast.hosts: ["172.16.4.13:9300", "172.16.4.12:19300","172.16.4.11:9300"]
#
# Prevent the "split brain" by configuring the majority of nodes (total number of master-eligible nodes / 2 + 1):
#
discovery.zen.minimum_master_nodes: 1
#
# For more information, consult the zen discovery module documentation.
#
# ---------------------------------- Gateway -----------------------------------
#
# Block initial recovery after a full cluster restart until N nodes are started:
#
#gateway.recover_after_nodes: 3
#
# For more information, consult the gateway module documentation.
#
# ---------------------------------- Various -----------------------------------
#
# Require explicit names when deleting indices:
#
#action.destructive_requires_name: true
三台服务器不同的配置:
#172.16.4.12
node.name: node-2
network.host:172.16.4.12
#172.16.4.13
node.name: node-1
network.host:172.16.4.13
3 在三台服务器上分别启动es
./bin/elasticsearch
数据库启动
本文档案例使用docker启动postgresql,可参考文件中的postgresql配置。
1.修改application.yml,并将jetlinks打成jar包
application.yml文件:
在多台服务器上启动jetlinks,配置中的jetlinks.server-id必须互不相同。
在项目根目录执行:
mvn clean package -DskipTests
- 分别在三台服务器上启动jetlinks 文档以脚本方式启动,脚本如下:
#!/bin/bash
nohup java -jar -Dspring.application.name=jetlinks-cluster-test-3 jetlinks-standalone.jar >jetlinks-pro.log 2>&1 &
注意:
三台服务启动的jetlinks.server-id应该互不相同,在application.yml中jetlinks.server-id引用了spring.application.name,所以此处的name应不相同。
nginx配置
通过nginx来代理前后端。
- 安装nginx
前往官网 下载完成后解压、编译、安装。 - 修改配置文件
配置文件如下:
upstream iotserver {
server 172.16.4.11:8844;
server 172.16.4.12:8844;
server 172.16.4.13:8844;
}
upstream webserver {
server 172.16.4.11:9000;
}
upstream fileserver {
server 172.16.4.11:8844; #此处指定文件上传到该服务器上
}
server {
listen 8080;
server_name demo2.jetlinks.cn;
location ^~/upload/ {
proxy_pass http://fileserver;
proxy_set_header Host $host:$server_port;
proxy_set_header X-Real-IP $remote_addr;
}
location ^~/jetlinks/file/static {
proxy_pass http://fileserver/file/static;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header Host $host:$server_port;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_send_timeout 30m;
proxy_read_timeout 30m;
client_max_body_size 100m;
}
location ^~/jetlinks/ {
proxy_pass http://iotserver/;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header Host $host:$server_port;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "upgrade";
proxy_connect_timeout 1;
proxy_buffering off;
chunked_transfer_encoding off;
proxy_cache off;
proxy_send_timeout 30m;
proxy_read_timeout 30m;
client_max_body_size 100m;
}
location / {
proxy_pass http://webserver/;
}
}
- 启动
用于代理设备连接。此处使用nginx作为演示,也可以使用LVS,haProxy等方式。
配置文件:
load_module /usr/lib/nginx/modules/ngx_stream_module.so;
user root;
worker_processes 1;
error_log /etc/nginx/log/error.log warn;
pid /var/run/nginx.pid;
events {
worker_connections 1024;
}
stream {
upstream tcp-test {
hash $remote_addr consistent;
server 172.16.4.13:1889 max_fails=3 fail_timeout=10s;
#server 172.16.4.12:1889 max_fails=3 fail_timeout=10s;
server 172.16.4.11:1889 max_fails=3 fail_timeout=10s;
}
server {
listen 1884;
proxy_pass tcp-test;
proxy_connect_timeout 30s;
proxy_timeout 30s;
}
此配置监听的MQTT的1884端口,代理到服务器上的1889。如需代理自定义端口需保持代理端口与jetlinks平台中网络组件开启的端口一致。 如此处平台中MQTT服务网络组件设置的端口应为1889。