ik 分词器安装

# 进入 es 集群的 es1 节点容器内部
docker exec -it es1 bash

cd /usr/share/elasticsearch

# 执行安装命令, 请安装 ES 对应版本的分词器, https://github.com/medcl/elasticsearch-analysis-ik/releases
# 注意 ik 的版本要与 es 的版本对应上
./bin/elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v5.6.8/elasticsearch-analysis-ik-5.6.8.zip

# 验证, PWD 变量指向 es 的安装目录
ls $PWD/plugins

# 重启 es1 容器
docker restart es1

ik 带有两个分词器:

  1. ​ik_max_word​​:会将文本做最细粒度的拆分;尽可能多的拆分出词语
  2. ​ik_smart​​:会做最粗粒度的拆分;已被分出的词语将不会再次被其它词语占有

​使用该方式安装 ik 可能会导致 es 的配置文件发生变化, 所以建议使用方式2进行 ik 分词器的安装​

 

ik 分词器安装(zip包安装)

cd /data/es/plugins

wget https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v5.6.8/elasticsearch-analysis-ik-5.6.8.zip


unzip elasticsearch-analysis-ik-5.6.8.zip

cp -r elasticsearch/* plugin1/ik
cp -r elasticsearch/* plugin2/ik
cp -r elasticsearch/* plugin3/ik

 

plugins 挂载目录结构

# 挂载: /data/es/plugins/plugin1:/usr/share/elasticsearch/plugins
# 容器启动后
plugins/
├── plugin1
│ └── ik
│ ├── commons-codec-1.9.jar
│ ├── commons-logging-1.2.jar
│ ├── config
│ ├── elasticsearch
│ ├── elasticsearch-analysis-ik-5.6.8.jar
│ ├── httpclient-4.5.2.jar
│ ├── httpcore-4.4.4.jar
│ └── plugin-descriptor.properties
├── plugin2
│ └── ik
│ ├── commons-codec-1.9.jar
│ ├── commons-logging-1.2.jar
│ ├── config
│ ├── elasticsearch
│ ├── elasticsearch-analysis-ik-5.6.8.jar
│ ├── httpclient-4.5.2.jar
│ ├── httpcore-4.4.4.jar
│ └── plugin-descriptor.properties
└── plugin3
└── ik
├── commons-codec-1.9.jar
├── commons-logging-1.2.jar
├── config
├── elasticsearch
├── elasticsearch-analysis-ik-5.6.8.jar
├── httpclient-4.5.2.jar
├── httpcore-4.4.4.jar
└── plugin-descriptor.properties

 

挂载 ik 目录成功案例

docker exec -it es1 bash

# 注意是将 zip 包中的 elasticsearch 下的内容挂载到 /usr/share/elasticsearch/plugins 的 ik 目录下
ls /usr/share/elasticsearch/plugins/ik/

commons-codec-1.9.jar commons-logging-1.2.jar config elasticsearch elasticsearch-analysis-ik-5.6.8.jar httpclient-4.5.2.jar httpcore-4.4.4.jar plugin-descriptor.properties

 

环境部署

# 注意需要把 ik-plugin 目录挂载到容器
docker run -d -e ES_JAVA_OPTS="-Xms256m -Xmx256m" \
-p 2181:2181 -p 7050:7050 \
-v /data/es/es1.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v /data/es/data1:/usr/share/elasticsearch/data \
-v /data/es/plugins/plugin1:/usr/share/elasticsearch/plugins \
--name es1 elasticsearch:5.6.8


docker run -d -e ES_JAVA_OPTS="-Xms256m -Xmx256m" \
-p 2888:2888 -p 7051:7051 \
-v /data/es/es2.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v /data/es/data2:/usr/share/elasticsearch/data \
-v /data/es/plugins/plugin2:/usr/share/elasticsearch/plugins \
--name es2 elasticsearch:5.6.8


docker run -d -e ES_JAVA_OPTS="-Xms256m -Xmx256m" \
-p 3888:3888 -p 7053:7053 \
-v /data/es/es3.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v /data/es/data3:/usr/share/elasticsearch/data \
-v /data/es/plugins/plugin3:/usr/share/elasticsearch/plugins \
--name es3 elasticsearch:5.6.8

# 启动 es-manager 容器实例
docker run -d -p 7058:9100 --name es-manager mobz/elasticsearch-head:5

# 移除掉已有 elasticsearch 相关的容器
docker rm -f $(docker ps -a | grep "elasticsearch" | awk '{print $1}')

 

测试

# create a index
curl -XPUT http://127.0.0.1:2181/index

# create a mapping
curl -XPOST http://127.0.0.1:2181/index/fulltext/_mapping -d'
{
"properties": {
"content": {
"type": "text",
"analyzer": "ik_max_word",
"search_analyzer": "ik_max_word"
}
}
}'

# index some docs
curl -X POST http://127.0.0.1:2181/index/fulltext/1 -d'
{"content":"美国留给伊拉克的是个烂摊子吗"}
'

curl -XPOST http://127.0.0.1:2181/index/fulltext/2 -d'
{"content":"公安部:各地校车将享最高路权"}
'

curl -XPOST http://127.0.0.1:2181/index/fulltext/3 -d'
{"content":"中韩渔警冲突调查:韩警平均每天扣1艘中国渔船"}
'

curl -XPOST http://127.0.0.1:2181/index/fulltext/4 -d'
{"content":"中国驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首"}
'



curl -XPOST http://127.0.0.1:2181/index/fulltext/_search -d'
{
"query" : { "match" : { "content" : "中国" }},
"highlight" : {
"pre_tags" : ["<tag1>", "<tag2>"],
"post_tags" : ["</tag1>", "</tag2>"],
"fields" : {
"content" : {}
}
}
}'

 

附录 - 参考网址