1. Docker-ce安装(Centos7环境)
①移除旧版本
yum remove docker \docker-client \docker-client-latest \docker-common \docker-latest \docker-latest-logrotate \docker-logrotate \docker-selinux \docker-engine-selinux \docker-engine
②安装必要的系统工具
yum install -y yum-utils device-mapper-persistent-data lvm2③添加软件源信息
yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo④更新 yum 缓存
yum makecache fast⑤安装 Docker-ce
yum -y install docker-ce⑥启动 Docker 后台服务
systemctl start docker⑦设置Docker开机自启动
systemctl enable docker2. ElasticSearch安装
①拉取镜像
docker pull elasticsearch:7.9.3②查看镜像
docker images③创建所需文件夹和文件
mkdir -p /mydata/elasticsearch/configmkdir -p /mydata/elasticsearch/dataecho "http.host: 0.0.0.0">>/mydata/elasticsearch/config/elasticsearch.yml
④文件夹赋权
chmod -R 777 /mydata/elasticsearch/⑤创建并启动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 /mydata/elasticsearch/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml \-v /mydata/elasticsearch/data:/usr/share/elasticsearch/data \-v /mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins \-d elasticsearch:7.9.3
⑥设置elasticsearch容器自启动
docker update elasticsearch --restart=always⑦安装IK中文分词器
cd /mydata/elasticsearch/plugins/wget https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.9.3/elasticsearch-analysis-ik-7.9.3.zipmkdir ikunzip -d ik/ elasticsearch-analysis-ik-7.9.3.zipdocker restart elasticsearch
3.Kibana安装
①拉取镜像
docker pull kibana:7.9.3②创建并启动kibana容器
docker run -tid \--restart=always \-p 15601:5601 \-v /etc/localtime:/etc/localtime \-e TZ='Asia/Shanghai' \-e LANG="en_US.UTF-8" \kibana:7.9.3
③Copy容器中的文件到宿主机上，并给文件夹授权
mkdir -p /mydata/kibana/docker cp <容器ID>:/usr/share/kibana/config/ /mydata/kibana/docker cp <容器ID>:/usr/share/kibana/data/ /mydata/kibana/docker cp <容器ID>:/usr/share/kibana/plugins/ /mydata/kibanachmod -R 777 /mydata/kibana
④删除容器
docker rm -f <容器ID>⑤修改kibana.yml配置文件
## ** THIS IS AN AUTO-GENERATED FILE **## Default Kibana configuration for docker targetserver.name: kibanaserver.host: "0.0.0.0"elasticsearch.hosts: [ "http://192.168.0.105:9200" ]monitoring.ui.container.elasticsearch.enabled: true
⑥重新创建并启动kibana容器
docker run -tid \--restart=always \-p 15601:5601 \-v /mydata/kibana/config/:/usr/share/kibana/config/ \-v /mydata/kibana/data/:/usr/share/kibana/data/ \-v /mydata/kibana/plugins/:/usr/share/kibana/plugins/ \-v /etc/localtime:/etc/localtime \-e TZ='Asia/Shanghai' \-e LANG="en_US.UTF-8" \kibana:7.9.3
⑦查看kibana启动日志
docker logs <容器ID>注意：kibana的启动时间较长，需要查看日志确保kibana启动成功后再访问，否则一开始访问失败并不能说明kibana的安装配置有问题。
4.放行端口号
firewall-cmd --zone=public --add-port=9200/tcp --permanentfirewall-cmd --zone=public --add-port=15601/tcp --permanentsystemctl restart firewalld.service
5.访问Kibana
http://ip:156016.创建索引
PUT /novel{"mappings" : {"properties" : {"id" : {"type" : "long"},"authorId" : {"type" : "long"},"authorName" : {"type" : "text","analyzer": "ik_smart","boost": 1.5},"bookName" : {"type" : "text","analyzer": "ik_smart","boost": 2},"bookDesc" : {"type" : "text","analyzer": "ik_smart","boost": 0.1},"bookStatus" : {"type" : "short"},"catId" : {"type" : "integer"},"catName" : {"type" : "text","analyzer": "ik_smart","boost": 1.0},"lastIndexId" : {"type" : "long"},"lastIndexName" : {"type" : "text","analyzer": "ik_smart","boost": 0.1},"lastIndexUpdateTime" : {"type": "keyword"},"picUrl" : {"type" : "keyword","index" : false,"doc_values" : false},"score" : {"type" : "float"},"wordCount" : {"type" : "integer"},"workDirection" : {"type" : "short"},"visitCount" : {"type": "long"}}}}
7.开启搜索引擎功能
spring:elasticsearch:#是否开启搜索引擎，1：开启，0：不开启enable: 0jest:#es的访问URIuris: http://127.0.0.1:9200
来源：oschina
链接：https://my.oschina.net/java2nb/blog/4874387