Docker部署
单点
docker run -d --name es -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" -v es:/usr/share/elasticsearch/data elasticsearch:7.2.1
集群
用docker-compose部署集群
docker-compose.yml
version: '3.1'
services:
es01:
image: docker.elastic.co/elasticsearch/elasticsearch:7.2.1
container_name: es01
environment:
- node.name=es01
- discovery.seed_hosts=es02
- cluster.initial_master_nodes=es01,es02
- cluster.name=docker-cluster
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- esdata01:/usr/share/elasticsearch/data
ports:
- 9200:9200
networks:
- esnet
es02:
image: docker.elastic.co/elasticsearch/elasticsearch:7.2.1
container_name: es02
environment:
- node.name=es02
- discovery.seed_hosts=es01
- cluster.initial_master_nodes=es01,es02
- cluster.name=docker-cluster
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- esdata02:/usr/share/elasticsearch/data
networks:
- esnet
volumes:
esdata01:
driver: local
esdata02:
driver: local
networks:
esnet:
终端运行
docker-compose up
docker-compose up -d
安装ik分词插件:
集群
// 集群
docker-compose exec es01 elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.2.1/elasticsearch-analysis-ik-7.2.1.zip
docker-compose exec es02 elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.2.1/elasticsearch-analysis-ik-7.2.1.zip
//然后要重启es容器
docker-compose restart es01
docker-compose restart es02
单点
// 进入容器es
docker exec -it es /bin/bash
// 使用bin目录下的elasticsearch-plugin install安装ik插件
bin/elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.2.1/elasticsearch-analysis-ik-7.2.1.zip
// 再重启下容器
docker restart es
提示:其他方式安装IK
验证分词插件是否安装成功
// 增加一个叫test001的索引
curl -X PUT http://localhost:9200/test001
// 成功返回 {"acknowledged":true,"shards_acknowledged":true,"index":"test001"}
// ik_smart分词
curl -X POST \
'http://127.0.0.1:9200/test001/_analyze?pretty=true' \
-H 'Content-Type: application/json' \
-d '{"text":"我们是软件工程师","tokenizer":"ik_smart"}'
// ik_max_word分词
curl -X POST \
'http://127.0.0.1:9200/test001/_analyze?pretty=true' \
-H 'Content-Type: application/json' \
-d '{"text":"我们是软件工程师","tokenizer":"ik_max_word"}'
返回结果


可以看到ik_max_word分词更精细。
辅助文档:
vm.max_map_count [65530] is too low
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