1.Docker命令安装

Elasticsearch安装

• 下载Elasticsearch7.6.2的docker镜像：

docker pull elasticsearch:7.6.2

• 修改虚拟内存区域大小，否则会因为过小而无法启动:

# 改变设置
sysctl -w vm.max_map_count=262144
# 使之立即生效
sysctl -p

• 使用如下命令启动Elasticsearch服务：

docker run -p 9200:9200 -p 9300:9300 --name elasticsearch \
-e "discovery.type=single-node" \
-e "cluster.name=elasticsearch" \
-v /mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins \
-v /mydata/elasticsearch/data:/usr/share/elasticsearch/data \
-d elasticsearch:7.6.2

• 启动时会发现/usr/share/elasticsearch/data目录没有访问权限，只需要修改/mydata/elasticsearch/data目录的权限，再重新启动即可；

chmod 777 /mydata/elasticsearch/data/

• 安装中文分词器IKAnalyzer，并重新启动：

docker exec -it elasticsearch /bin/bash
#此命令需要在容器中运行
elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.6.2/elasticsearch-analysis-ik-7.6.2.zip
docker restart elasticsearch

• 开启防火墙：

firewall-cmd --zone=public --add-port=9200/tcp --permanent
firewall-cmd --reload

• 访问会返回版本信息：http://192.168.3.101:9200

Logstash安装

• 下载Logstash7.6.2的docker镜像：

docker pull logstash:7.6.2

• 修改Logstash的配置文件logstash.conf中output节点下的Elasticsearch连接地址为es:9200。

input {
  tcp {
    mode => "server"
    host => "0.0.0.0"
    port => 4560
    codec => json_lines
    type => "debug"
  }
  tcp {
    mode => "server"
    host => "0.0.0.0"
    port => 4561
    codec => json_lines
    type => "error"
  }
  tcp {
    mode => "server"
    host => "0.0.0.0"
    port => 4562
    codec => json_lines
    type => "business"
  }
  tcp {
    mode => "server"
    host => "0.0.0.0"
    port => 4563
    codec => json_lines
    type => "record"
  }
}
filter{
  if [type] == "record" {
    mutate {
      remove_field => "port"
      remove_field => "host"
      remove_field => "@version"
    }
    json {
      source => "message"
      remove_field => ["message"]
    }
  }
}
output {
  elasticsearch {
    hosts => "es:9200"
    index => "mall-%{type}-%{+YYYY.MM.dd}"
  }
}

• 创建/mydata/logstash目录，并将Logstash的配置文件logstash.conf拷贝到该目录；

mkdir /mydata/logstash

• 使用如下命令启动Logstash服务；

docker run --name logstash -p 4560:4560 -p 4561:4561 -p 4562:4562 -p 4563:4563 \
--link elasticsearch:es \
-v /mydata/logstash/logstash.conf:/usr/share/logstash/pipeline/logstash.conf \
-d logstash:7.6.2

• 进入容器内部，安装json_lines插件。

logstash-plugin install logstash-codec-json_lines

Kibana安装

• 下载Kibana7.6.2的docker镜像：

docker pull kibana:7.6.2

• 使用如下命令启动Kibana服务：

docker run --name kibana -p 5601:5601 \
--link elasticsearch:es \
-e "elasticsearch.hosts=http://es:9200" \
-d kibana:7.6.2

• 开启防火墙：

firewall-cmd --zone=public --add-port=5601/tcp --permanent
firewall-cmd --reload

• 访问地址进行测试：http://192.168.3.101:5601

2.Docker Compose安装

• Es需要设置系统内核参数，否则会因为内存不足无法启动；

# 改变设置
sysctl -w vm.max_map_count=262144
# 使之立即生效
sysctl -p

• 需要创建/mydata/elasticsearch/data目录并设置权限，否则会因为无权限访问而启动失败。

# 创建目录
mkdir /mydata/elasticsearch/data/
mkdir /mydata/elasticsearch/plugins
# 创建并改变该目录权限
chmod 777 /mydata/elasticsearch/data
chmod 777 /mydata/elasticsearch/plugins

• 修改Logstash的配置文件logstash.conf中output节点下的Elasticsearch连接地址为es:9200。

input {
  tcp {
    mode => "server"
    host => "0.0.0.0"
    port => 4560
    codec => json_lines
    type => "debug"
  }
  tcp {
    mode => "server"
    host => "0.0.0.0"
    port => 4561
    codec => json_lines
    type => "error"
  }
  tcp {
    mode => "server"
    host => "0.0.0.0"
    port => 4562
    codec => json_lines
    type => "business"
  }
  tcp {
    mode => "server"
    host => "0.0.0.0"
    port => 4563
    codec => json_lines
    type => "record"
  }
}
filter{
  if [type] == "record" {
    mutate {
      remove_field => "port"
      remove_field => "host"
      remove_field => "@version"
    }
    json {
      source => "message"
      remove_field => ["message"]
    }
  }
}
output {
  elasticsearch {
    hosts => "es:9200"
    index => "mall-%{type}-%{+YYYY.MM.dd}"
  }
}

• 创建/mydata/logstash目录，并将Logstash的配置文件logstash.conf拷贝到该目录。

mkdir /mydata/logstash

• 创建elk-compose.yml文件

version: '3'
services:
  elasticsearch:
    image: elasticsearch:7.6.2
    container_name: elasticsearch
    environment:
      - "cluster.name=elasticsearch" #设置集群名称为elasticsearch
      - "discovery.type=single-node" #以单一节点模式启动
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m" #设置使用jvm内存大小
    volumes:
      - /mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins #插件文件挂载
      - /mydata/elasticsearch/data:/usr/share/elasticsearch/data #数据文件挂载
    ports:
      - 9200:9200
      - 9300:9300
  logstash:
    image: logstash:7.6.2
    container_name: logstash
    environment:
      - TZ=Asia/Shanghai
    volumes:
      - /mydata/logstash/logstash.conf:/usr/share/logstash/pipeline/logstash.conf #挂载logstash的配置文件
    depends_on: #一键部署时，添加该配置
      - elasticsearch #logstash在elasticsearch启动之后再启动
    links:
      - elasticsearch:es #可以用es这个域名访问elasticsearch服务
    ports:
      - 4560:4560
      - 4561:4561
      - 4562:4562
      - 4563:4563
  kibana:
    image: kibana:7.6.2
    container_name: kibana
    ports:
      - 5601:5601
    links:
      - elasticsearch:es #可以用es这个域名访问elasticsearch服务
    depends_on:
      - elasticsearch #kibana在elasticsearch启动之后再启动
    environment:
      - "elasticsearch.hosts=http://es:9200" #设置访问elasticsearch的地址

• 执行命令

docker-compose -f elk-compose.yml up -d

Elasticsearch

需要安装中文分词器IKAnalyzer，并重新启动。

docker exec -it elasticsearch /bin/bash
#此命令需要在容器中运行
elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v6.4.0/elasticsearch-analysis-ik-6.4.0.zip
docker restart elasticsearch

logstash安装

需要安装json_lines插件，并重新启动。

docker exec -it logstash /bin/bash
logstash-plugin install logstash-codec-json_lines
docker restart logstash