使用Docker部署ElasticSearch与kibana
部署ElasticSearch
1.拉取ElasticSearch
docker pull elasticsearch:7.4.2
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/
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
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
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-ik
IK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
列出系统的分词器
cd es/bin
elasticsearch plugin list
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"
}
ik_smart分词器
POST http://127.0.0.1:9200/_analyze
{
"analyzer": "ik_smart",
"text": "世界你好啊"
}
ik_max_word分词器
POST http://127.0.0.1:9200/_analyze
{
"analyzer": "ik_max_word",
"text": "世界你好啊"
}
部署kibana
1.拉取kibana
docker pull kibana:7.4.2
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
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
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"
将en修改为zh-CN即可
i18n.locale: "zh-CN"
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
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"
配置后重启Kibana
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