使用Docker部署ElasticSearch与kibana

部署ElasticSearch

1.拉取ElasticSearch

docker pull elasticsearch:7.4.2
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2.创建挂载目录

mkdir -p /usr/local/docker/elasticsearch/config
mkdir -p /usr/local/docker/elasticsearch/data
mkdir -p /usr/local/docker/elasticsearch/plugins

# 配置任何远程机器都可以访问
echo "http.host: 0.0.0.0" >> /usr/local/docker/elasticsearch/config/elasticsearch.yml
 
# 保证权限
chmod -R 777 /usr/local/docker/elasticsearch/
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3.创建并启动容器

# 9200 http请求端口 9300：集群通信端口
docker run --name elasticsearch -p 9200:9200 -p 9300:9300 \
# 单节点运行
-e "discovery.type=single-node" \
# 设置初始内存和最大内存，否则导致过大启动不了ES
-e ES_JAVA_OPTS="-Xms250m -Xmx512m" \
# 数据挂载
-v /usr/local/docker/elasticsearch/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v /usr/local/docker/elasticsearch/data:/usr/share/elasticsearch/data \
-v /usr/local/docker/elasticsearch/plugins:/usr/share/elasticsearch/plugins \
-d elasticsearch:7.4.2
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docker run --name elasticsearch -p 9200:9200 -p 9300:9300 \
-e "discovery.type=single-node" \
-e ES_JAVA_OPTS="-Xms250m -Xmx512m" \
-v /usr/local/docker/elasticsearch/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v /usr/local/docker/elasticsearch/data:/usr/share/elasticsearch/data \
-v /usr/local/docker/elasticsearch/plugins:/usr/share/elasticsearch/plugins \
-d elasticsearch:7.4.2
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4.访问http://IP:9200/

5.配置IK分词器

访问：https://github.com/medcl/elasticsearch-analysis-ik/releases，下载与ES版本相符合的elasticsearch-analysis-ikIK分词器

下载与解压

cd es/plugins
mkdir ik
cd ik

wget https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.4.2/elasticsearch-analysis-ik-7.4.2.zip
 
unzip elasticsearch-analysis-ik-7.4.2.zip

rm elasticsearch-analysis-ik-7.4.2.zip 
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列出系统的分词器

cd  es/bin

elasticsearch plugin list
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6.测试分词器

默认分词器

POST http://127.0.0.1:9200/_analyze
{
  "analyzer": "standard",
  "text": "世界你好啊"
}
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ik_smart分词器

POST http://127.0.0.1:9200/_analyze
{
  "analyzer": "ik_smart",
  "text": "世界你好啊"
}
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ik_max_word分词器

POST http://127.0.0.1:9200/_analyze
{
  "analyzer": "ik_max_word",
  "text": "世界你好啊"
}
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Elasticsearch-HQ

Elasticsearch-HQ是监控和管理 ElasticSearch 实例和集群的 Web 应用程序。

官网：http://www.elastichq.org/

GitHub：https://github.com/ElasticHQ/elasticsearch-HQ

Docker安装

docker run -d --name elastic-hq -p 5000:5000 --restart always elastichq/elasticsearch-hq
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控制台

访问控制台：http://IP:5000

修改ES地址进行连接

部署kibana

1.拉取kibana

docker pull kibana:7.4.2
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2.创建并启动容器

http://IP:9200 指向ES地址

docker run --name kibana -e ELASTICSEARCH_HOSTS=http://IP:9200 -p 5601:5601 -d kibana:7.4.2
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3.访问http://IP:5601/

4.语言设置

kibana默认为英文界面

进入容器

docker exec -it kibana /bin/bash
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配置kibana安装目录下的config目录的kibana.yml文件，新增或修改

i18n.locale: "en"
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将en修改为zh-CN即可

i18n.locale: "zh-CN"
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bash-4.2$ ls
LICENSE.txt  NOTICE.txt  README.txt  bin  built_assets  config  data  node  node_modules  optimize  package.json  plugins  src  webpackShims  x-pack
bash-4.2$ cd config/
bash-4.2$ ls
kibana.yml
bash-4.2$ vi kibana.yml 
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在kibana.yml文件添加中文语言设置

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

# Default Kibana configuration for docker target
server.name: kibana
server.host: "0"
elasticsearch.hosts: [ "http://elasticsearch:9200" ]
xpack.monitoring.ui.container.elasticsearch.enabled: true

i18n.locale: "zh-CN"
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配置后重启Kibana