3分钟完成Macbook m1芯片使用docker安装Elasticsearch和Kibana

1、下载镜像文件

elasticsearch：存储和检索数据；

kibana：可视化检索数据

docker pull elasticsearch:7.16.2
docker pull kibana:7.16.2

2、创建es实例

2.1、本地创建3个文件夹config/data/plugins，并修改权限，用作映射

mkdir software/elasticsearch/config
mkdir software/elasticsearch/data
mkdir software/elasticsearch/plugins

echo "http.host: 0.0.0.0" >> software/elasticsearch/config/elasticsearch.yml

chmod -R 777 software/elasticsearch/

2.2、启动es

docker run --name elasticsearch -p 9200:9200 -p 9300:9300 \
-e "discovery.type=single-node" \
-e ES_JAVA_OPTS="-Xms64m -Xmx512m" \
-v /Users/benjie/software/elasticsearch/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v /Users/benjie/software/elasticsearch/data:/usr/share/elasticsearch/data \
-v /Users/benjie/software/elasticsearch/plugins:/usr/share/elasticsearch/plugins \
-d elasticsearch:7.16.2

解释：

-e ES_JAVA_OPTS="-Xms64m -Xmx512m" \ 设置ES的初始内存和最大内存，否则导致过大启动不了ES

2.3、验证访问http://localhost:9200：

3、创建Kibana

3.1 查询elasticsearch中的内部ip，查询命令：

docker inspect -f '{{range.NetworkSettings.Networks}}{{.IPAddress}}{{end}}' elasticsearch

3.2、启动kibana

docker run --name kibana -e ELASTICSEARCH_HOSTS=http://172.17.0.2:9200 -p 5601:5601 -d kibana:7.16.2

-e ELASTICSEARCH_HOSTS= http://172.17.0.2:9200 一定要先查询到内部ip，替换

3.3、验证访问http://localhost:5601