ElasticSearch、Kibana安装（Docker）

下载拉取镜像

docker pull elasticsearch:7.9.2

docker pull kibana:7.9.2

目录挂载

mkdir -p  /data/elasticsearch/data/ 
mkdir -p  /data/elasticsearch/config/
# 设置权限
chmod -R 777 /data/elasticsearch/

编写配置

echo 'http.host: 0.0.0.0 http.cors.enabled: true http.cors.allow-origin: "*"'>>/data/elasticsearch/config/elasticsearch.yml

启动

启动elasticsearch容器

# 启动elasticsearch容器
docker run --name elasticsearch -p 9200:9200 \
 -p 9300:9300 \
 -e "discovery.type=single-node" \
 -e ES_JAVA_OPTS="-Xms64m -Xmx128m" \
 -v /data/elasticsearch/config/elasticsearch.yml:/usr/shellare/elasticsearch/config/elasticsearch.yml \
 -v /data/elasticsearch/data:/usr/shellare/elasticsearch/data \
 -v /data/elasticsearch/plugins:/usr/shellare/elasticsearch/plugins \
 -d elasticsearch:7.9.2

启动kibana容器

查询es的内部ip

docker inspect --format '{{ .NetworkSettings.IPAddress }}' 容器id

# 启动kibana容器
docker run --name kibana -e ELASTICSEARCH_HOSTS=http://es容器内部ip:9200 -p 5601:5601 -d kibana:7.9.2

进入kibana容器内部

docker exec -it kibana /bin/bash

vi config/kibana.yml

修改里面hosts

修改完成后需要重新启动

docker restart kibana

分词器

安装分词器

进入启动成功的elasticsearch容器

docker exec -it elasticsearch /bin/bash

执行命令下载，分词器的版本和elasticsearch版本需要一致

./bin/elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.9.2/elasticsearch-analysis-ik-7.9.2.zip

下载完成后需要重启elasticsearch容器

docker restart elasticsearch

测试ik分词器

post请求地址 ip:9200/_analyze

参数

{
	"tokenizer":"ik_smart",
	"text":"测试分词器，这只是一个测试"
}

返回结果

{
    "tokens": [
        {
            "token": "测试",
            "start_offset": 0,
            "end_offset": 2,
            "type": "CN_WORD",
            "position": 0
        },
        {
            "token": "分词器",
            "start_offset": 2,
            "end_offset": 5,
            "type": "CN_WORD",
            "position": 1
        },
        {
            "token": "这",
            "start_offset": 6,
            "end_offset": 7,
            "type": "CN_CHAR",
            "position": 2
        },
        {
            "token": "只是",
            "start_offset": 7,
            "end_offset": 9,
            "type": "CN_WORD",
            "position": 3
        },
        {
            "token": "一个",
            "start_offset": 9,
            "end_offset": 11,
            "type": "CN_WORD",
            "position": 4
        },
        {
            "token": "测试",
            "start_offset": 11,
            "end_offset": 13,
            "type": "CN_WORD",
            "position": 5
        }
    ]
}