docker部署单机ES集群7.2.0-Toy模板网

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部署步骤

初始化es配置文件

    -- 拉取es镜像
    docker pull elasticsearch:7.2.0
    --创建挂载目录[data:存放索引数据，plugins:存放es插件]
    mkdir -p  /bkb/runtime/docker/es/config/data1
    mkdir -p  /bkb/runtime/docker/es/config/data2
    mkdir -p  /bkb/runtime/docker/es/config/data3
    mkdir -p  /bkb/runtime/docker/es/config/plugins1
    mkdir -p  /bkb/runtime/docker/es/config/plugins2
    mkdir -p  /bkb/runtime/docker/es/config/plugins3

    -- 设置执行权限
    chmod 777 -R /bkb/runtime/docker/es/config/ 
 --data1/data2/data3 分别创建es.yml [network.publish_host:填写服务器ip]

vim /bkb/runtime/docker/es/config/es1.yml
 ->>

cluster.name: test-es
node.name: node1
network.host: 0.0.0.0
###如果是三台主机做，这里要加入内网ip，才能建立集群如下一行参数
# network.publish_host: 192.168.1.43
###如果是三台主机做，这里要加入内网ip，才能建立集群如上一行参数
http.port: 9201
transport.tcp.port: 9301
discovery.seed_hosts: ["192.168.3.214:9301","192.168.3.214:9302","192.168.3.214:9303"]
cluster.initial_master_nodes: ["node1"]
bootstrap.system_call_filter: false
bootstrap.memory_lock: false
http.cors.enabled: true
http.cors.allow-origin: "*"


vim /bkb/runtime/docker/es/config/es2.yml
 ->>
cluster.name: test-es
node.name: node2
network.host: 0.0.0.0
###如果是三台主机做，这里要加入内网ip，才能建立集群如下一行参数
# network.publish_host: 192.168.1.44
###如果是三台主机做，这里要加入内网ip，才能建立集群如上一行参数
http.port: 9202
transport.tcp.port: 9302
discovery.seed_hosts: ["192.168.3.214:9301","192.168.3.214:9302","192.168.3.214:9303"]
cluster.initial_master_nodes: ["node1"]
bootstrap.system_call_filter: false
bootstrap.memory_lock: false
http.cors.enabled: true
http.cors.allow-origin: "*"

vim /bkb/runtime/docker/es/config/es3.yml
 ->>

cluster.name: test-es
node.name: node3
network.host: 0.0.0.0
###如果是三台主机做，这里要加入内网ip，才能建立集群如下一行参数
# network.publish_host: 192.168.1.45
###如果是三台主机做，这里要加入内网ip，才能建立集群如上一行参数
http.port: 9203
transport.tcp.port: 9303
discovery.seed_hosts: ["192.168.3.214:9301","192.168.3.214:9302","192.168.3.214:9303"]
cluster.initial_master_nodes: ["node1"]
bootstrap.system_call_filter: false
bootstrap.memory_lock: false
http.cors.enabled: true
http.cors.allow-origin: "*"

调高JVM线程数限制数量

vim /etc/sysctl.conf
->>
	vm.max_map_count=655300
	
# 刷新配置
sysctl -p

服务部署

es集群部署

	# 服务1
     docker run -e ES_JAVA_OPTS="-Xms2048m -Xmx2048m" \
        -d -p 9201:9201 -p 9301:9301 \
        -e ES_MIN_MEM=128m \
        -e ES_MAX_MEM=4096m \
        -v /bkb/runtime/docker/es/config/es1.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
        -v /bkb/runtime/docker/es/config//data1/:/usr/share/elasticsearch/data/ \
        -v /bkb/runtime/docker/es/config/plugins1/:/usr/share/elasticsearch/plugins  \
        --restart=always \
        --name ES01 \
        elasticsearch:7.2.0
    # 服务2
     docker run -e ES_JAVA_OPTS="-Xms2048m -Xmx2048m" \
        -d -p 9202:9202 -p 9302:9302 \
        -e ES_MIN_MEM=128m \
        -e ES_MAX_MEM=4096m \
        -v /bkb/runtime/docker/es/config/es2.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
        -v /bkb/runtime/docker/es/config/data2/:/usr/share/elasticsearch/data/ \
        -v /bkb/runtime/docker/es/config/plugins2/:/usr/share/elasticsearch/plugins  \
        --restart=always \
        --name ES02 \
        elasticsearch:7.2.0
     # 服务3
     docker run -e ES_JAVA_OPTS="-Xms2048m -Xmx2048m" \
        -d -p 9203:9203 -p 9303:9303 \
        -e ES_MIN_MEM=128m \
        -e ES_MAX_MEM=4096m \
        -v /bkb/runtime/docker/es/config/es3.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
        -v /bkb/runtime/docker/es/config/data3/:/usr/share/elasticsearch/data/ \
        -v /bkb/runtime/docker/es/config/plugins1/:/usr/share/elasticsearch/plugins  \
        --restart=always \
        --name ES03 \
        elasticsearch:7.2.0
        
	# 防火墙设置	
    firewall-cmd --add-port=9301/tcp
    firewall-cmd --add-port=9302/tcp 
    firewall-cmd --add-port=9303/tcp
    firewall-cmd --add-port=9200/tcp
    firewall-cmd --add-port=9201/tcp 
    firewall-cmd --add-port=9202/tcp 
    firewall-cmd --add-port=9203/tcp
    firewall-cmd --complete-reload

确认集群配置

curl http://127.0.0.1:9201/_cat/nodes?pretty

es 单机集群,Ubuntu,ES,elasticsearch,docker,大数据

上面是同一台主机建立的，没设置内网ip，所以显示的是docker网络ip，如果是三台内网主机建立集群，建立集群成功后如图所示：

es 单机集群,Ubuntu,ES,elasticsearch,docker,大数据

IK分词器安装

  # 进入容器
  root@Ubuntu:/bkb/runtime/docker/es/config# docker exec -it ES01 bash 
        # 在线安装
        elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.2.0/elasticsearch-analysis-ik-7.2.0.zip
    
    # 复制es1安装的插件到es2和es3
  root@Ubuntu:/bkb/runtime/docker/es/config# cp -rf plugins1/analysis-ik/ plugins2
  root@Ubuntu:/bkb/runtime/docker/es/config# cp -rf plugins1/analysis-ik/ plugins3ls

    
    # 重启es
   root@Ubuntu:/bkb/runtime/docker/es/config# docker restart ES01 
   root@Ubuntu:/bkb/runtime/docker/es/config# docker restart ES02 ES03

esUI部署

部署elasticsearch-head 便于管理es数据

docker run -d \
    --name=elasticsearch-head \
    -p 9100:9100 \
    -m 512m \
    --memory-swap=1024m \
    --restart=always
    mobz/elasticsearch-head:5-alpine

确认效果

es 单机集群,Ubuntu,ES,elasticsearch,docker,大数据

安装kibana

汉化：kibana 7.* 设置中文汉化_121812的博客-CSDN博客_kibana7中文

启动后进入编辑yml文件指定es的地址

docker pull kibana:7.2.0
docker run -dit --name kibana  -p 5601:5601  -v /bkb/runtime/docker/es/config/kibana.yml:/usr/share/kibana/config/kibana.yml --restart=always kibana:7.2.0  
docker exec -it kibana /bin/bash

将容器后kibana.yml文件配置持久化，配置内容如下

Kibana配置内容：

#** THIS IS AN AUTO-GENERATED FILE **
#

# Default Kibana configuration for docker target
server.name: kibana
server.host: "0"
elasticsearch.hosts: [ "http://192.168.3.214:9201","http://192.168.3.214:9202","http://192.168.3.214:9203" ]
#elasticsearch.hosts: [ "http://elasticsearch:9200" ]
xpack.monitoring.ui.container.elasticsearch.enabled: true
i18n.locale: "zh-CN"