【docker】基于docker-compose 安装elasticsearch + kibana + ik分词器(8.10.4版本)

记录下，使用 docker-compose 安装 Elasticsearch 和 Kibana，并配置 IK 分词器，你可以按照以下步骤进行。此过程适用于 Elasticsearch 和 Kibana 8.10.4 版本。

安装

首先，在你的工作目录下创建一个 docker-compose.yml 文件，用于配置 Elasticsearch 和 Kibana 的服务。

yml 复制代码

version: "2.2"

services:
  es01:
    image: docker.elastic.co/elasticsearch/elasticsearch:${STACK_VERSION}
    container_name: es01
    volumes:
      - esdata01:/usr/share/elasticsearch/data
      - ./plugins01:/usr/share/elasticsearch/plugins
    ports:
      - ${ES_PORT}:9200
    environment:
      - node.name=es01
      - cluster.name=${CLUSTER_NAME}
      - cluster.initial_master_nodes=es01,es02,es03
      - discovery.seed_hosts=es02,es03
      - bootstrap.memory_lock=true
      - xpack.security.enabled=false
      - xpack.security.http.ssl.enabled=false
      - xpack.security.transport.ssl.enabled=false
    mem_limit: ${MEM_LIMIT}
    ulimits:
      memlock:
        soft: -1
        hard: -1
    #command: >
    #  bash -c "elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v8.10.4/elasticsearch-analysis-ik-8.10.4.zip && 
    #  elasticsearch"
  es02:
    depends_on:
      - es01
    image: docker.elastic.co/elasticsearch/elasticsearch:${STACK_VERSION}
    container_name: es02
    volumes:
      - esdata02:/usr/share/elasticsearch/data
      - ./plugins02:/usr/share/elasticsearch/plugins
    environment:
      - node.name=es02
      - cluster.name=${CLUSTER_NAME}
      - cluster.initial_master_nodes=es01,es02,es03
      - discovery.seed_hosts=es01,es03
      - bootstrap.memory_lock=true
      - xpack.security.enabled=false
      - xpack.security.http.ssl.enabled=false
      - xpack.security.transport.ssl.enabled=false
    mem_limit: ${MEM_LIMIT}
    ulimits:
      memlock:
        soft: -1
        hard: -1
    #command: >
    #  bash -c "elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v8.10.4/elasticsearch-analysis-ik-8.10.4.zip && 
    #  elasticsearch"
      
  es03:
    depends_on:
      - es02
    image: docker.elastic.co/elasticsearch/elasticsearch:${STACK_VERSION}
    container_name: es03
    volumes:
      - esdata03:/usr/share/elasticsearch/data
      - ./plugins03:/usr/share/elasticsearch/plugins
    environment:
      - node.name=es03
      - cluster.name=${CLUSTER_NAME}
      - cluster.initial_master_nodes=es01,es02,es03
      - discovery.seed_hosts=es01,es02
      - bootstrap.memory_lock=true
      - xpack.security.enabled=false
      - xpack.security.http.ssl.enabled=false
      - xpack.security.transport.ssl.enabled=false
    mem_limit: ${MEM_LIMIT}
    ulimits:
      memlock:
        soft: -1
        hard: -1
    #command: >
    #  bash -c "elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v8.10.4/elasticsearch-analysis-ik-8.10.4.zip && 
    #  elasticsearch"
  kibana:
    image: docker.elastic.co/kibana/kibana:${STACK_VERSION}
    container_name: kibana
    volumes:
      - kibanadata:/usr/share/kibana/data
    ports:
      - ${KIBANA_PORT}:5601
    environment:
      - SERVERNAME=kibana
      - ELASTICSEARCH_HOSTS=http://es01:9200
      - ELASTICSEARCH_USERNAME=kibana_system
      - ELASTICSEARCH_PASSWORD=${KIBANA_PASSWORD}
    mem_limit: ${MEM_LIMIT}

volumes:
  esdata01:
    driver: local
  esdata02:
    driver: local
  esdata03:
    driver: local
  kibanadata:
    driver: local

通过 docker-compose 文件配置 Elasticsearch 和 Kibana 后，你可以使用命令启动它们。IK 分词器的安装可以通过手动下载插件或在容器内安装的方式完成。

环境

.env文件

Password for the 'elastic' user (at least 6 characters)

ELASTIC_PASSWORD=lucky_pig

Password for the 'kibana_system' user (at least 6 characters)

KIBANA_PASSWORD=lucky_pig

Version of Elastic products

#STACK_VERSION=8.1.2

win10出现max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144]

处理1：win上面解决方案（cmd.exe进入）：

wsl -d docker-desktop

sysctl -w vm.max_map_count=262144

在/etc/sysctl.conf文件最后添加一行vm.max_map_count=262144

STACK_VERSION=8.10.4

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

docker-compose -f docker-compose.yml down -v

Set the cluster name

CLUSTER_NAME=docker-cluster

Set to 'basic' or 'trial' to automatically start the 30-day trial

LICENSE=basic
#LICENSE=trial

Port to expose Elasticsearch HTTP API to the host

ES_PORT=9200
#ES_PORT=127.0.0.1:9200

Port to expose Kibana to the host

KIBANA_PORT=5601
#KIBANA_PORT=80

Increase or decrease based on the available host memory (in bytes)

MEM_LIMIT=1073741824

Project namespace (defaults to the current folder name if not set)

#COMPOSE_PROJECT_NAME=myproject

分词

shell 复制代码

# docker exec -it es01 /usr/share/elasticsearch/bin/elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v8.10.4/elasticsearch-analysis-ik-8.10.4.zip
# docker exec -it es02 /usr/share/elasticsearch/bin/elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v8.10.4/elasticsearch-analysis-ik-8.10.4.zip
# docker exec -it es03 /usr/share/elasticsearch/bin/elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v8.10.4/elasticsearch-analysis-ik-8.10.4.zip

## 最直接方法是将这个文件解压到我们映射路径下面
wget https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v8.10.4/elasticsearch-analysis-ik-8.10.4.zip
unzip elasticsearch-analysis-ik-8.10.4.zip -d plugins/ik

验证

POST /_analyze
{
"analyzer": "ik_smart",
"text": "你好，世界"
}
POST /_analyze
{
"analyzer": "ik_max_word",
"text": "你好，世界"
}

kibana

shell 复制代码

GET lucky_pig_idx-000001/_search

GET lucky_pig_idx-000001/_search
{
  "query": {
    "match": {
      "userCode": "112"
    }
  }
}

GET lucky_pig_idx-000001

DELETE lucky_pig_idx

PUT lucky_pig_idx-000001
{"mappings": {
 "properties": {  
  "id": {  
    "type": "keyword"  
  },  
  "title": {  
    "type": "text",  
    "analyzer": "ik_max_word",  
    "search_analyzer": "ik_smart"  
  },  
  "content": {  
    "type": "text",  
    "analyzer": "ik_max_word",  
    "search_analyzer": "ik_smart"  
  },  
  "staffNo": {  
    "type": "keyword"  
  },  
  "createTime": {  
    "type": "date",  
    "format": "yyyy-MM-dd HH:mm:ss||yyyy-MM-dd||epoch_millis"  
  }
 }
 
}
}

样例1

POST lucky_pig_idx-000001/_doc/1
{
"id": "1",
"title": "这是一个样例标题",
"content": "这是样例内容，包含中文分词。",
"staffNo": "A12345",
"createTime": "2023-09-07 10:30:00"
}
样例2

POST _bulk
{ "index" : { "_index" : "lucky_pig_idx-000001", "_id" : "2" } }
{ "id" : "2", "title" : "样例标题 1", "content" : "这是样例内容 1，包含 IK 分词。", "staffNo" : "B12345", "createTime" : "2023-09-07 11:00:00" }
{ "index" : { "_index" : "lucky_pig_idx-000001", "_id" : "3" } }
{ "id" : "3", "title" : "样例标题 2", "content" : "这是样例内容 2，用于测试搜索功能。", "staffNo" : "C54321", "createTime" : "2023-09-06 09:15:00" }
{ "index" : { "_index" : "lucky_pig_idx-000001", "_id" : "4" } }
{ "id" : "4", "title" : "样例标题 3", "content" : "第三个样例，IK 分词测试。", "staffNo" : "D11111", "createTime" : "2023-09-05 12:00:00" }
相关

POST /_analyze
{
"analyzer": "ik_smart",
"text": "你好，世界"
}
POST /_analyze
{
"analyzer": "ik_max_word",
"text": "你好，世界"
}

POST lucky_pig_idx-000001/_doc/1
{
"id": "1",
"title": "这是一个样例标题",
"content": "这是样例内容，包含中文分词。",
"staffNo": "A12345",
"createTime": "2023-09-07 10:30:00"
}

POST _bulk
{ "index" : { "_index" : "lucky_pig_idx-000001", "_id" : "2" } }
{ "id" : "2", "title" : "样例标题 1", "content" : "这是样例内容 1，包含 IK 分词。", "staffNo" : "B12345", "createTime" : "2023-09-07 11:00:00" }
{ "index" : { "_index" : "lucky_pig_idx-000001", "_id" : "3" } }
{ "id" : "3", "title" : "样例标题 2", "content" : "这是样例内容 2，用于测试搜索功能。", "staffNo" : "C54321", "createTime" : "2023-09-06 09:15:00" }
{ "index" : { "_index" : "lucky_pig_idx-000001", "_id" : "4" } }
{ "id" : "4", "title" : "样例标题 3", "content" : "第三个样例，IK 分词测试。", "staffNo" : "D11111", "createTime" : "2023-09-05 12:00:00" }

GET lucky_pig_idx-000001/_search

GET lucky_pig_idx-000001/_search
{
"query": {
"match": {
"staffNo": "B12345"
}
}
}

GET lucky_pig_idx-000001

DELETE lucky_pig_idx

PUT lucky_pig_idx-000001
{"mappings": {
"properties": {
"id": {
"type": "keyword"
},
"title": {
"type": "text",
"analyzer": "ik_max_word",
"search_analyzer": "ik_smart"
},
"content": {
"type": "text",
"analyzer": "ik_max_word",
"search_analyzer": "ik_smart"
},
"staffNo": {
"type": "keyword"
},
"createTime": {
"type": "date",
"format": "yyyy-MM-dd HH:mm:ss||yyyy-MM-dd||epoch_millis"
}
}

}
}

复制代码

【docker】基于docker-compose 安装elasticsearch + kibana + ik分词器(8.10.4版本)

安装

环境

Password for the 'elastic' user (at least 6 characters)

Password for the 'kibana_system' user (at least 6 characters)

Version of Elastic products

win10出现max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144]

处理1：win上面解决方案（cmd.exe进入）：

wsl -d docker-desktop

sysctl -w vm.max_map_count=262144

在/etc/sysctl.conf文件最后添加一行vm.max_map_count=262144

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

docker-compose -f docker-compose.yml down -v

Set the cluster name

Set to 'basic' or 'trial' to automatically start the 30-day trial

Port to expose Elasticsearch HTTP API to the host

Port to expose Kibana to the host

Increase or decrease based on the available host memory (in bytes)

Project namespace (defaults to the current folder name if not set)

分词

kibana