EFK教程-ElasticSearch角色分离
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通过将elasticsearch的data、ingest、master角色进行分离,搭建起高性能+高可用的ES架构
作者:“发颠的小狼”,欢迎转载与投稿
目录
▪ 用途
▪ 架构
▪ 步骤说明
▪ elasticsearch-data部署
▪ elasticsearch-ingest部署
▪ elasticsearch-master部署
用途
在第一篇《EFK教程 - 快速入门指南》中,阐述了EFK的安装部署,其中ES的架构为三节点,即master、ingest、data角色同时部署在三台服务器上。
在本文中,将进行角色分离部署,并且每个角色分别部署三节点,在实现性能最大化的同时保障高可用。
▷ elasticsearch的master节点:用于调度,采用普通性能服务器来部署
▷ elasticsearch的ingest节点:用于数据预处理,采用性能好的服务器来部署
▷ elasticsearch的data节点:用于数据落地存储,采用存储性能好的服务器来部署
若不知道去哪找《EFK教程 - 快速入门指南》,可在主流搜索引擎里搜索:
小慢哥 EFK教程 快速入门指南
或者
小慢哥 EFK教程 基于多节点ES的EFK安装部署配置
架构
服务器配置
注意:此处的架构是之前的文章《EFK教程 - 快速入门指南》的拓展,因此请先按照《EFK教程 - 快速入门指南》完成部署
步骤说明
1️⃣ 部署3台data节点,加入原集群
2️⃣ 部署3台ingest节点,加入原集群
3️⃣ 将原有的es索引迁移到data节点
4️⃣ 将原有的es节点改造成master节点
elasticsearch-data部署
之前已完成了基础的elasticsearch架构,现需要新增三台存储节点加入集群,同时关闭master和ingest功能
elasticsearch-data安装:3台均执行相同的安装步骤
tar -zxvf elasticsearch-7.3.2-linux-x86_64.tar.gz
mv elasticsearch-7.3.2 /opt/elasticsearch
useradd elasticsearch -d /opt/elasticsearch -s /sbin/nologin
mkdir -p /opt/logs/elasticsearch
chown elasticsearch.elasticsearch /opt/elasticsearch -R
chown elasticsearch.elasticsearch /opt/logs/elasticsearch -R
# 数据盘需要elasticsearch写权限
chown elasticsearch.elasticsearch /data/SAS -R
# 限制一个进程可以拥有的VMA(虚拟内存区域)的数量要超过262144,不然elasticsearch会报max virtual memory areas vm.max_map_count [65535] is too low, increase to at least [262144]
echo "vm.max_map_count = 655350" >> /etc/sysctl.conf
sysctl -p
elasticsearch-data配置
▷ 192.168.1.51 /opt/elasticsearch/config/elasticsearch.yml
cluster.name: my-application
node.name: 192.168.1.51
# 数据盘位置,如果有多个硬盘位置,用","隔开
path.data: /data/SAS
path.logs: /opt/logs/elasticsearch
network.host: 192.168.1.51
discovery.seed_hosts: ["192.168.1.31","192.168.1.32","192.168.1.33"]
cluster.initial_master_nodes: ["192.168.1.31","192.168.1.32","192.168.1.33"]
http.cors.enabled: true
http.cors.allow-origin: "*"
# 关闭master功能
node.master: false
# 关闭ingest功能
node.ingest: false
# 开启data功能
node.data: true
▷ 192.168.1.52 /opt/elasticsearch/config/elasticsearch.yml
cluster.name: my-application
node.name: 192.168.1.52
# 数据盘位置,如果有多个硬盘位置,用","隔开
path.data: /data/SAS
path.logs: /opt/logs/elasticsearch
network.host: 192.168.1.52
discovery.seed_hosts: ["192.168.1.31","192.168.1.32","192.168.1.33"]
cluster.initial_master_nodes: ["192.168.1.31","192.168.1.32","192.168.1.33"]
http.cors.enabled: true
http.cors.allow-origin: "*"
# 关闭master功能
node.master: false
# 关闭ingest功能
node.ingest: false
# 开启data功能
node.data: true
▷ 192.168.1.53 /opt/elasticsearch/config/elasticsearch.yml
cluster.name: my-application
node.name: 192.168.1.53
# 数据盘位置,如果有多个硬盘位置,用","隔开
path.data: /data/SAS
path.logs: /opt/logs/elasticsearch
network.host: 192.168.1.53
discovery.seed_hosts: ["192.168.1.31","192.168.1.32","192.168.1.33"]
cluster.initial_master_nodes: ["192.168.1.31","192.168.1.32","192.168.1.33"]
http.cors.enabled: true
http.cors.allow-origin: "*"
# 关闭master功能
node.master: false
# 关闭ingest功能
node.ingest: false
# 开启data功能
node.data: true
elasticsearch-data启动
sudo -u elasticsearch /opt/elasticsearch/bin/elasticsearch
elasticsearch集群状态
curl "http://192.168.1.31:9200/_cat/health?v"
elasticsearch-data状态
curl "http://192.168.1.31:9200/_cat/nodes?v"
elasticsearch-data参数说明
status: green # 集群健康状态
node.total: 6 # 有6台机子组成集群
node.data: 6 # 有6个节点的存储
node.role: d # 只拥有data角色
node.role: i # 只拥有ingest角色
node.role: m # 只拥有master角色
node.role: mid # 拥master、ingest、data角色
elasticsearch-ingest部署
现需要新增三台ingest节点加入集群,同时关闭master和data功能
elasticsearch-ingest安装:3台es均执行相同的安装步骤
tar -zxvf elasticsearch-7.3.2-linux-x86_64.tar.gz
mv elasticsearch-7.3.2 /opt/elasticsearch
useradd elasticsearch -d /opt/elasticsearch -s /sbin/nologin
mkdir -p /opt/logs/elasticsearch
chown elasticsearch.elasticsearch /opt/elasticsearch -R
chown elasticsearch.elasticsearch /opt/logs/elasticsearch -R
# 限制一个进程可以拥有的VMA(虚拟内存区域)的数量要超过262144,不然elasticsearch会报max virtual memory areas vm.max_map_count [65535] is too low, increase to at least [262144]
echo "vm.max_map_count = 655350" >> /etc/sysctl.conf
sysctl -p
elasticsearch-ingest配置
▷ 192.168.1.41 /opt/elasticsearch/config/elasticsearch.yml
cluster.name: my-application
node.name: 192.168.1.41
path.logs: /opt/logs/elasticsearch
network.host: 192.168.1.41
discovery.seed_hosts: ["192.168.1.31","192.168.1.32","192.168.1.33"]
cluster.initial_master_nodes: ["192.168.1.31","192.168.1.32","192.168.1.33"]
http.cors.enabled: true
http.cors.allow-origin: "*"
# 关闭master功能
node.master: false
# 开启ingest功能
node.ingest: true
# 关闭data功能
node.data: false
▷ 192.168.1.42 /opt/elasticsearch/config/elasticsearch.yml
cluster.name: my-application
node.name: 192.168.1.42
path.logs: /opt/logs/elasticsearch
network.host: 192.168.1.42
discovery.seed_hosts: ["192.168.1.31","192.168.1.32","192.168.1.33"]
cluster.initial_master_nodes: ["192.168.1.31","192.168.1.32","192.168.1.33"]
http.cors.enabled: true
http.cors.allow-origin: "*"
# 关闭master功能
node.master: false
# 开启ingest功能
node.ingest: true
# 关闭data功能
node.data: false
▷ 192.168.1.43 /opt/elasticsearch/config/elasticsearch.yml
cluster.name: my-application
node.name: 192.168.1.43
path.logs: /opt/logs/elasticsearch
network.host: 192.168.1.43
discovery.seed_hosts: ["192.168.1.31","192.168.1.32","192.168.1.33"]
cluster.initial_master_nodes: ["192.168.1.31","192.168.1.32","192.168.1.33"]
http.cors.enabled: true
http.cors.allow-origin: "*"
# 关闭master功能
node.master: false
# 开启ingest功能
node.ingest: true
# 关闭data功能
node.data: false
elasticsearch-ingest启动
sudo -u elasticsearch /opt/elasticsearch/bin/elasticsearch
elasticsearch集群状态
curl "http://192.168.1.31:9200/_cat/health?v"
elasticsearch-ingest状态
curl "http://192.168.1.31:9200/_cat/nodes?v"
elasticsearch-ingest参数说明
status: green # 集群健康状态
node.total: 9 # 有9台机子组成集群
node.data: 6 # 有6个节点的存储
node.role: d # 只拥有data角色
node.role: i # 只拥有ingest角色
node.role: m # 只拥有master角色
node.role: mid # 拥master、ingest、data角色
elasticsearch-master部署
首先,将上一篇《EFK教程 - 快速入门指南》中部署的3台es(192.168.1.31、192.168.1.32、192.168.1.33)改成只有master的功能, 因此需要先将这3台上的索引数据迁移到本次所做的data节点中
1️⃣ 索引迁移:一定要做这步,将之前的索引放到data节点上
curl -X PUT "192.168.1.31:9200/*/_settings?pretty" -H 'Content-Type: application/json' -d'
{
"index.routing.allocation.include._ip": "192.168.1.51,192.168.1.52,192.168.1.53"
}'
2️⃣ 确认当前索引存储位置:确认所有索引不在192.168.1.31、192.168.1.32、192.168.1.33节点上
curl "http://192.168.1.31:9200/_cat/shards?h=n"
elasticsearch-master配置
注意事项:修改配置,重启进程,需要一台一台执行,要确保第一台成功后,再执行下一台。重启进程的方法:由于上一篇文章《EFK教程 - 快速入门指南》里,是执行命令跑在前台,因此直接ctrl - c退出再启动即可,启动命令如下
sudo -u elasticsearch /opt/elasticsearch/bin/elasticsearch
▷ 192.168.1.31 /opt/elasticsearch/config/elasticsearch.yml
cluster.name: my-application
node.name: 192.168.1.31
path.logs: /opt/logs/elasticsearch
network.host: 192.168.1.31
discovery.seed_hosts: ["192.168.1.31","192.168.1.32","192.168.1.33"]
cluster.initial_master_nodes: ["192.168.1.31","192.168.1.32","192.168.1.33"]
http.cors.enabled: true
http.cors.allow-origin: "*"
#开启master功能
node.master: true
#关闭ingest功能
node.ingest: false
#关闭data功能
node.data: false
▷ 192.168.1.32 /opt/elasticsearch/config/elasticsearch.yml
cluster.name: my-application
node.name: 192.168.1.32
path.logs: /opt/logs/elasticsearch
network.host: 192.168.1.32
discovery.seed_hosts: ["192.168.1.31","192.168.1.32","192.168.1.33"]
cluster.initial_master_nodes: ["192.168.1.31","192.168.1.32","192.168.1.33"]
http.cors.enabled: true
http.cors.allow-origin: "*"
#开启master功能
node.master: true
#关闭ingest功能
node.ingest: false
#关闭data功能
node.data: false
▷ 192.168.1.33 /opt/elasticsearch/config/elasticsearch.yml
cluster.name: my-application
node.name: 192.168.1.33
path.logs: /opt/logs/elasticsearch
network.host: 192.168.1.33
discovery.seed_hosts: ["192.168.1.31","192.168.1.32","192.168.1.33"]
cluster.initial_master_nodes: ["192.168.1.31","192.168.1.32","192.168.1.33"]
http.cors.enabled: true
http.cors.allow-origin: "*"
#开启master功能
node.master: true
#关闭ingest功能
node.ingest: false
#关闭data功能
node.data: false
elasticsearch集群状态
curl "http://192.168.1.31:9200/_cat/health?v"
elasticsearch-master状态
curl "http://192.168.1.31:9200/_cat/nodes?v"
至此,当node.role里所有服务器都不再出现“mid”,则表示一切顺利完成。
文章标题:EFK教程-ElasticSearch角色分离
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