docker swarm集群下部署elasticsearch7.6.2集群+kibana7.6.2+es-head+中文分词

╰半夏微凉° 2023-02-19 13:29 12阅读 0赞

# docker swarm集群下部署elasticsearch7.6.2集群+kibana7.6.2+es-head+中文分词 #

上一篇文章是：[linux Centos7 安裝搭建elasticsearch7.6.2+kibana7.6.2+中文分词7.6.2详解][linux Centos7 _elasticsearch7.6.2_kibana7.6.2_7.6.2]

这里再说一下docker swarm下部署es集群的思路。此为个人研究的结果。如果博友有更好的方案还请留言告知。

**目录**

docker swarm集群下部署elasticsearch7.6.2集群+kibana7.6.2+es-head+中文分词

环境介绍：

准备镜像

配置elasticsearch

创建目录

添加elasticsearch配置文件

添加Dockerfile文件

添加中文分词器

启动elasticsearch

打包elasticsearch镜像

编写compose文件

启动elasticsearch

启动kibana

创建kibana配置文件

启动kibana

启动elasticsearch-head

1、单机运行head

2、集群模式启动

--------------------

## 环境介绍： ##

*  服务器三台，后边分别简称68、69、70

<table style="width:173.28pt;"> 
 <tbody> 
  <tr> 
   <td style="border-color:#000000;text-align:left;vertical-align:bottom;width:96.65pt;"><span style="color:#000000;">10.**.**.68</span></td> 
   <td style="border-color:#000000;vertical-align:bottom;width:76.65pt;"><span style="color:#000000;">CentOS 7.4 (64 位)</span></td> 
  </tr> 
  <tr> 
   <td style="border-color:#000000;text-align:left;vertical-align:bottom;"><span style="color:#000000;">10.**.**.69</span></td> 
   <td style="border-color:#000000;vertical-align:bottom;"><span style="color:#000000;">CentOS 7.4 (64 位)</span></td> 
  </tr> 
  <tr> 
   <td style="border-color:#000000;text-align:left;vertical-align:bottom;"><span style="color:#000000;">10.**.**.70</span></td> 
   <td style="border-color:#000000;vertical-align:bottom;"><span style="color:#000000;">CentOS 7.4 (64 位)</span></td> 
  </tr> 
 </tbody> 
</table>

*  初始化好的docker swarm集群，三个节点

[root@elcndc2zhda01 ~]# docker node ls
    ID                            HOSTNAME            STATUS              AVAILABILITY        MANAGER STATUS      ENGINE VERSION
    skq2d634av8scq5uumciwuedf *   elcndc2zhda01       Ready               Active              Leader              19.03.8
    1j1i345greywliwuyuwro01if     elcndc2zhda02       Ready               Active              Reachable           19.03.8
    xqxl9gs9igb7jyo3cohsarehi     elcndc2zhda03       Ready               Active              Reachable           19.03.8

**注意：注意：**为了方便我三个集群节点已经配置了nas共享挂载目录，为/data目录。如果大家没有配置共享目录，那有些文件需要三个服务器都创建，比如下边提到的kibana。所以下边只要提到/data目录下的文件，我这里是三台服务器共享的，操作一个服务器即可，如果没有共享目录，需要每个服务器单独操作。

##  准备镜像 ##

*  **三台服务器**分别下载官方镜像：elasticsearch:7.6.2,kibana:7.6.2(需要与es版本一致),elasticsearch-head:5

docker pull docker.elastic.co/elasticsearch/elasticsearch:7.6.2
    docker pull docker.elastic.co/kibana/kibana:7.6.2
    docker pull mobz/elasticsearch-head:5

镜像下载好后，开始准备配置es

## 配置elasticsearch ##

*  ### 创建目录 ###

在/data下为是三个服务器分别创建配置文件存放目录

mkdir /data/erms/es/{kinana,node1,node2,node3} -p

三个node分别是给三个服务器用的，如果没有共享目录也可以手动一个服务器创建一个node目录。

创建后效果：

[root@elcndc2zhda01 es]# cd /data/erms/es
    [root@elcndc2zhda01 es]# ls
    kinana  node1  node2  node3
    [root@elcndc2zhda01 es]#

*  ### 添加elasticsearch配置文件 ###

在node1目录下新建elasticsearch.yml配置文件内容如下：

将配置文件中的 discovery.seed\_hosts内容替换为自己集群的ip

# ======================== 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-1
    #
    # 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: 0.0.0.0
    #
    # 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 this node is started:
    # The default list of hosts is ["127.0.0.1", "[::1]"]
    #
     discovery.seed_hosts: ["10.**.**.68:10010","10.**.**.69:10010","10.**.**.70:10010"]
    #
    # Bootstrap the cluster using an initial set of master-eligible nodes:
    #
     cluster.initial_master_nodes: ["node-1","node-2","node-3"]
     
    # bootstrap.memory_lock: true
    #
    # For more information, consult the discovery and cluster formation 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
     http.cors.enabled: true
     http.cors.allow-origin: '*'
     http.cors.allow-headers: Authorization,X-Requested-With,Content-Length,Content-Type

在node2目录下新建elasticsearch.yml配置文件内容如下：

将配置文件中的 discovery.seed\_hosts内容替换为自己集群的ip

# ======================== 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-2
    #
    # 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: 0.0.0.0
    #
    # 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 this node is started:
    # The default list of hosts is ["127.0.0.1", "[::1]"]
    #
     discovery.seed_hosts: ["10.**.**.68:10010","10.**.**.69:10010","10.**.**.70:10010"]
    #
    # Bootstrap the cluster using an initial set of master-eligible nodes:
    #
     cluster.initial_master_nodes: ["node-1","node-2","node-3"]
     
    # bootstrap.memory_lock: true
    #
    # For more information, consult the discovery and cluster formation 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
     http.cors.enabled: true
     http.cors.allow-origin: '*'
     http.cors.allow-headers: Authorization,X-Requested-With,Content-Length,Content-Type

在node3目录下新建elasticsearch.yml配置文件内容如下：

将配置文件中的 discovery.seed\_hosts内容替换为自己集群的ip

# ======================== 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: 0.0.0.0
    #
    # 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 this node is started:
    # The default list of hosts is ["127.0.0.1", "[::1]"]
    #
     discovery.seed_hosts: ["10.**.**.68:10010","10.**.**.69:10010","10.**.**.70:10010"]
    #
    # Bootstrap the cluster using an initial set of master-eligible nodes:
    #
     cluster.initial_master_nodes: ["node-1","node-2","node-3"]
     
    # bootstrap.memory_lock: true
    #
    # For more information, consult the discovery and cluster formation 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
     http.cors.enabled: true
     http.cors.allow-origin: '*'
     http.cors.allow-headers: Authorization,X-Requested-With,Content-Length,Content-Type

*  ### 添加Dockerfile文件 ###

向node1，node2，node3三个目录下均添加Dockerfile，内容如下：

这里第三行是为了添加中文分词，如果不需要可删掉。

FROM docker.elastic.co/elasticsearch/elasticsearch:7.6.2
    COPY --chown=elasticsearch:elasticsearch elasticsearch.yml /usr/share/elasticsearch/config/
    ADD ik /usr/share/elasticsearch/plugins/ik
    ADD ik/config /data/erms/es/node1/ik/config

*  ### 添加中文分词器 ###

分词器下载网址：[https://github.com/medcl/elasticsearch-analysis-ik/releases][https_github.com_medcl_elasticsearch-analysis-ik_releases]

选择自己es对应的版本，这里下载的7.6.2：[https://github.com/medcl/elasticsearch-analysis-ik/releases/tag/v7.6.2][https_github.com_medcl_elasticsearch-analysis-ik_releases_tag_v7.6.2]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NhcHRhaW5KYXZh_size_16_color_FFFFFF_t_70][]

分别在**三个**node目录下创建ik目录，

将elasticsearch-analysis-ik-7.6.2.zip 上传到ik目录下，

解压elasticsearch-analysis-ik-7.6.2.zip

删除elasticsearch-analysis-ik-7.6.2.zip

命令依次如下：

[root@elcndc2zhda01 node1]# mkdir ik
    [root@elcndc2zhda01 node1]# cd ik
    [root@elcndc2zhda01 ik]# unzip elasticsearch-analysis-ik-7.6.2.zip 
    Archive:  elasticsearch-analysis-ik-7.6.2.zip
       creating: config/
      inflating: config/main.dic         
      inflating: config/quantifier.dic   
      inflating: config/extra_single_word_full.dic  
      inflating: config/IKAnalyzer.cfg.xml  
      inflating: config/surname.dic      
      inflating: config/suffix.dic       
      inflating: config/stopword.dic     
      inflating: config/extra_main.dic   
      inflating: config/extra_stopword.dic  
      inflating: config/preposition.dic  
      inflating: config/extra_single_word_low_freq.dic  
      inflating: config/extra_single_word.dic  
      inflating: elasticsearch-analysis-ik-7.6.2.jar  
      inflating: httpclient-4.5.2.jar    
      inflating: httpcore-4.4.4.jar      
      inflating: commons-logging-1.2.jar  
      inflating: commons-codec-1.9.jar   
      inflating: plugin-descriptor.properties  
      inflating: plugin-security.policy  
    [root@elcndc2zhda01 ik]# rm -rf elasticsearch-analysis-ik-7.6.2.zip 
    [root@elcndc2zhda01 ik]# ls
    commons-codec-1.9.jar    config                               httpclient-4.5.2.jar  plugin-descriptor.properties
    commons-logging-1.2.jar  elasticsearch-analysis-ik-7.6.2.jar  httpcore-4.4.4.jar    plugin-security.policy

## 启动elasticsearch ##

*  ### 打包elasticsearch镜像 ###

三台服务器需要分别打包镜像，这里因为es主从节点配置有点差异所以三个节点的es配置文件有所不同，才这么操作。有更好方式的请给我留言。不过我这个方式集群运行效果还不错。

68服务器下执行：

cd /data/erms/es/node1
    docker build -t erms/es .

69服务器下执行：

cd /data/erms/es/node2
    docker build -t erms/es .

70服务器下执行：

cd /data/erms/es/node3
    docker build -t erms/es .

*  ### 编写compose文件 ###

三台服务器分别对应的docker compose文件如下：

**注意：这里**es索引数据的持久化储存，没有单独创建目录存放，而是通过docker的volumes，由docker自行管理的。

这里向外暴露的端口号是10010

docker-compose-esnode1.yml

version: '3.3'
    
    services:
      ermsesnode1:
          hostname: ermsesnode1
          image: erms/es
          labels:
            "type": "2"
          networks:
            - edoc2_default
          ports:
          - target: 9200
            published: 10010
            mode: host
          environment:
          - node.name=ermsesnode1
          - discovery.seed_hosts=ermsesnode2,ermsesnode3
          - cluster.initial_master_nodes=ermsesnode1,ermsesnode2,ermsesnode3
          - cluster.name=es-cluster
          #- bootstrap.memory_lock=false
          - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
          volumes:
          - esdata2:/usr/share/elasticsearch/data
          deploy:
            #placement:
            #  constraints:
            #   - node.labels.nodetype == InDrive
            replicas: 1
            restart_policy:
              condition: on-failure
    volumes:
      esdata2:
        driver: local
    networks:
      edoc2_default:
         external:
           name: macrowing

docker-compose-esnode2.yml

version: '3.3'
    
    services:
      ermsesnode2:
          hostname: ermsesnode2
          image: erms/es
          labels:
            "type": "2"
          networks:
            - edoc2_default
          ports:
          - target: 9200
            published: 10010
            mode: host
          environment:
          - node.name=ermsesnode2
          - discovery.seed_hosts=ermsesnode1,ermsesnode3
          - cluster.initial_master_nodes=ermsesnode1,ermsesnode2,ermsesnode3
          - cluster.name=es-cluster
          #- bootstrap.memory_lock=false
          - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
          volumes:
          - esdata2:/usr/share/elasticsearch/data
          deploy:
            #placement:
            #  constraints:
            #   - node.labels.nodetype == InDrive
            replicas: 1
            restart_policy:
              condition: on-failure
    volumes:
      esdata2:
        driver: local
    networks:
      edoc2_default:
         external:
           name: macrowing

docker-compose-esnode3.yml

version: '3.3'
    
    services:
      ermsesnode3:
          hostname: ermsesnode3
          image: erms/es
          labels:
            "type": "2"
          networks:
            - edoc2_default
          ports:
          - target: 9200
            published: 10010
            mode: host
          environment:
          - node.name=ermsesnode3
          - discovery.seed_hosts=ermsesnode2,ermsesnode1
          - cluster.initial_master_nodes=ermsesnode1,ermsesnode2,ermsesnode3
          - cluster.name=es-cluster
          #- bootstrap.memory_lock=false
          - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
          volumes:
          - esdata2:/usr/share/elasticsearch/data
          deploy:
            #placement:
            #  constraints:
            #   - node.labels.nodetype == InDrive
            replicas: 1
            restart_policy:
              condition: on-failure
    volumes:
      esdata2:
        driver: local 
    networks:
      edoc2_default:
         external:
           name: macrowing

*  ### 启动elasticsearch ###

依次执行三个compose文件，启动es三个节点。（这里是都在leader node（主节点）下执行的，每个服务器执行一个也没事儿。）

[root@elcndc2zhda01 ik]# docker stack deploy -c /data/erms/compose/docker-compose-esnode1.yml erms
    Creating service erms_ermsesnode1
    [root@elcndc2zhda01 ik]# docker stack deploy -c /data/erms/compose/docker-compose-esnode2.yml erms
    Creating service erms_ermsesnode2
    [root@elcndc2zhda01 ik]# docker stack deploy -c /data/erms/compose/docker-compose-esnode3.yml erms
    Creating service erms_ermsesnode3
    [root@elcndc2zhda01 ik]# docker service ls
    ID                  NAME                   MODE                REPLICAS            IMAGE                                                       PORTS
    cmkfhkxjya79        erms_ermsesnode1       replicated          1/1                 erms/es:latest                                              
    vw0kde788sx4        erms_ermsesnode2       replicated          1/1                 erms/es:latest                                              
    vrt2jf9qf6d7        erms_ermsesnode3       replicated          1/1                 erms/es:latest  
    [root@elcndc2zhda01 ik]#

一般集群都会添加portainer，可以通过portainer查看一下效果如下，

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NhcHRhaW5KYXZh_size_16_color_FFFFFF_t_70 1][]

说明，三个es节点分别在swarm集群的三个node上运行的。

打开浏览器输入其中一个服务器的IP:10010接口访问es如下，即证明es启动成功。

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NhcHRhaW5KYXZh_size_16_color_FFFFFF_t_70 2][]

## 启动kibana ##

*  ### 创建kibana配置文件 ###

切换到开始时创建的kibana目录

cd /data/erms/es/kinana/

创建配置文件kibana.yml，内容如下

#
    ## ** THIS IS AN AUTO-GENERATED FILE **
    ##
    #  
    #  # Default Kibana configuration for docker target
    server.name: kibana
    server.host: "0"
    #这里写你的es第一个node的地址
    elasticsearch.hosts: [ "http://ermsesnode1:9200","http://ermsesnode1:9200","http://ermsesnode1:9200" ]
    xpack.monitoring.ui.container.elasticsearch.enabled: true
    i18n.locale: zh-CN

创建compose文件，kinana-compse.yml，这里kibana启动一个节点就够了，开放端口号为10009。内容如下：

version: '3.5'
    services:
       kibana:
        image: docker.elastic.co/kibana/kibana:7.6.2
        container_name: kibana
        networks:
           - edoc2_default
        ports:
          - 10009:5601
        volumes:
          - /etc/localtime:/etc/localtime
          - /data/erms/es/kinana/kibana.yml:/usr/share/kibana/config/kibana.yml:rw
    networks:
      edoc2_default:
        external: true
        name: macrowing

*  ### 启动kibana ###

[root@elcndc2zhda01 kinana]# docker stack deploy -c /data/erms/es/kinana/kinana-compse.yml erms
    [root@elcndc2zhda01 kinana]# docker service ls
    ID                  NAME                   MODE                REPLICAS            IMAGE                                                       PORTS
    cmkfhkxjya79        erms_ermsesnode1       replicated          1/1                 erms/es:latest                                              
    vw0kde788sx4        erms_ermsesnode2       replicated          1/1                 erms/es:latest                                              
    vrt2jf9qf6d7        erms_ermsesnode3       replicated          1/1                 erms/es:latest                                              
    2gi11fjxl67k        erms_kibana            replicated          1/1                 docker.elastic.co/kibana/kibana:7.6.2                       *:10009->5601/tcp

portainer：

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NhcHRhaW5KYXZh_size_16_color_FFFFFF_t_70 3][]

输入集群任意ip:10009连接kibana，第一次进入需要选择，选第二项即可进入一下界面，点击小扳手进入开发工具界面

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NhcHRhaW5KYXZh_size_16_color_FFFFFF_t_70 4][]

kibana也有监测等实用功能。如果需要安装es head的话，往下看。

## 启动elasticsearch-head ##

### 1、单机运行head ###

直接docker启动，例如我们在69服务器上执行docker命令，暴露端口号为10001

docker run -d -p 10001:9100 docker.io/mobz/elasticsearch-head:5

启动成功后打开浏览器查看69服务器的ip:10001访问head，输入es集群地址点击链接，可以看到集群健康状态、索引以及es和kibana相关信息。

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NhcHRhaW5KYXZh_size_16_color_FFFFFF_t_70 5][]

### 2、集群模式启动 ###

创建eshead-compse.yml

version: '3.3'
    services:
      elasticsearch-head:
        image: mobz/elasticsearch-head:5
        container_name: elasticsearch-head       
        ports:
           - "10001:9100"           
        links:
           - ermsesnode1

放到集群中启动，

docker stack deploy -c /data/erms/compose/eshead-compse.yml erms

查看portainer

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NhcHRhaW5KYXZh_size_16_color_FFFFFF_t_70 6][]

这样，head也被添加到集群中进行管理了。方便维护，并且输入集群任意ip都可以访问到。通过集群域名访问也可以。

使用方式与单机启动一样。

几篇关于elasticsearch的文章：

[Java+springboot+elasticsearch7.6.2实现分组查询（平级+层级）并实现script多字段拼接查询以及大于小于等条件关系查询的实现][Java_springboot_elasticsearch7.6.2_script]

[linux Centos7 安裝搭建elasticsearch7.6.2+kibana7.6.2+中文分词7.6.2详解][linux Centos7 _elasticsearch7.6.2_kibana7.6.2_7.6.2]

[linux Centos7 _elasticsearch7.6.2_kibana7.6.2_7.6.2]: https://blog.csdn.net/CaptainJava/article/details/105643068
[https_github.com_medcl_elasticsearch-analysis-ik_releases]: https://github.com/medcl/elasticsearch-analysis-ik/releases
[https_github.com_medcl_elasticsearch-analysis-ik_releases_tag_v7.6.2]: https://github.com/medcl/elasticsearch-analysis-ik/releases/tag/v7.6.2
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NhcHRhaW5KYXZh_size_16_color_FFFFFF_t_70]: https://img-blog.csdnimg.cn/20200621115813360.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NhcHRhaW5KYXZh,size_16,color_FFFFFF,t_70
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NhcHRhaW5KYXZh_size_16_color_FFFFFF_t_70 1]: https://img-blog.csdnimg.cn/20200621125436414.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NhcHRhaW5KYXZh,size_16,color_FFFFFF,t_70
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NhcHRhaW5KYXZh_size_16_color_FFFFFF_t_70 2]: https://img-blog.csdnimg.cn/20200621125833329.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NhcHRhaW5KYXZh,size_16,color_FFFFFF,t_70
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NhcHRhaW5KYXZh_size_16_color_FFFFFF_t_70 3]: https://img-blog.csdnimg.cn/20200621131446916.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NhcHRhaW5KYXZh,size_16,color_FFFFFF,t_70
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NhcHRhaW5KYXZh_size_16_color_FFFFFF_t_70 4]: https://img-blog.csdnimg.cn/20200621131850547.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NhcHRhaW5KYXZh,size_16,color_FFFFFF,t_70
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NhcHRhaW5KYXZh_size_16_color_FFFFFF_t_70 5]: https://img-blog.csdnimg.cn/20200621132923331.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NhcHRhaW5KYXZh,size_16,color_FFFFFF,t_70
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NhcHRhaW5KYXZh_size_16_color_FFFFFF_t_70 6]: https://img-blog.csdnimg.cn/20200621134539476.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NhcHRhaW5KYXZh,size_16,color_FFFFFF,t_70
[Java_springboot_elasticsearch7.6.2_script]: https://blog.csdn.net/CaptainJava/article/details/105776804