Docker容器中运行ES,Kibana,Cerebro
1.所需环境以及配置文件
环境：Docker
配置文件:
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| version: '2.2'
services:
cerebro:
image: lmenezes/cerebro:0.8.3
container_name: cerebro
ports:
- "9000:9000"
command:
- -Dhosts.0.host=http://elasticsearch:9200
networks:
- es7net
kibana:
image: docker.elastic.co/kibana/kibana:7.1.0
container_name: kibana7
environment:
- I18N_LOCALE=zh-CN
- XPACK_GRAPH_ENABLED=true
- TIMELION_ENABLED=true
- XPACK_MONITORING_COLLECTION_ENABLED="true"
ports:
- "5601:5601"
networks:
- es7net
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:7.1.0
container_name: es7_01
environment:
- cluster.name=xiaoxiao
- node.name=es7_01
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- discovery.seed_hosts=es7_01,es7_02
- cluster.initial_master_nodes=es7_01,es7_02
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- es7data1:/usr/share/elasticsearch/data
ports:
- 9200:9200
networks:
- es7net
elasticsearch2:
image: docker.elastic.co/elasticsearch/elasticsearch:7.1.0
container_name: es7_02
environment:
- cluster.name=xiaoxiao
- node.name=es7_02
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- discovery.seed_hosts=es7_01,es7_02
- cluster.initial_master_nodes=es7_01,es7_02
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- es7data2:/usr/share/elasticsearch/data
networks:
- es7net
volumes:
es7data1:
driver: local
es7data2:
driver: local
networks:
es7net:
driver: bridge
|
启动命令
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| docker-compose up #启动
docker-compose down #停止容器
docker-compose down -v #停止容器并且移除数据
|
2.启动服务
查看是否成功
es访问地址
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| localhost:9200 #ES默认端口为9200
|
kibana访问地址
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| localhost:5601 #kibana默认端口5601
|
cerebro访问地址
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| localhost:9000 #cerebro默认端口9000
|
3.Logstash安装与数据导入ES
注：Logstash和kibana下载的版本要和你的elasticsearch的版本号一一致。
3.1 配置movices.yml
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| # input代表读取数据 这里读取数据的位置在data文件夹下，文件名称为movies.csv
input {
file {
path => "/Users/xub/opt/logstash-7.1.0/data/movies.csv"
start_position => "beginning"
sincedb_path => "/dev/null"
}
}
filter {
csv {
separator => ","
columns => ["id","content","genre"]
}
mutate {
split => { "genre" => "|" }
remove_field => ["path", "host","@timestamp","message"]
}
mutate {
split => ["content", "("]
add_field => { "title" => "%{[content][0]}"}
add_field => { "year" => "%{[content][1]}"}
}
mutate {
convert => {
"year" => "integer"
}
strip => ["title"]
remove_field => ["path", "host","@timestamp","message","content"]
}
}
# 输入位置 这里输入数据到本地es ,并且索引名称为movies
output {
elasticsearch {
hosts => "http://localhost:9200"
index => "movies"
document_id => "%{id}"
}
stdout {}
}
|
启动命令: 启动命令会和配置文件movices.yml的摆放位置有关，进入bin目录
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| ./logstash ../movices.yml
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movices.yml存放的位置
启动成功
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