1、在线联网安装
直接进入容器内部进行编辑
# 进入容器内部编辑
docker exec -it elasticsearch bash
# 安装IK分词器拼音插件(Github官网)
elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-pinyin/releases/download/v6.7.0/elasticsearch-analysis-pinyin-6.7.0.zip
# 安装IK分词器插件(第三方加速)
elasticsearch-plugin install https://github.91chifun.workers.dev//https://github.com/medcl/elasticsearch-analysis-pinyin/releases/download/v6.7.0/elasticsearch-analysis-pinyin-6.7.0.zip等待下载完成然后cd，然后查看是否有pinyin插件
cd plugins/
ls如果有pinyin插件则安装完成，然后重新启动es然后访问
2、离线安装
下载并进行安装
# 下载
wget install https://github.com/medcl/elasticsearch-analysis-pinyin/releases/download/v6.7.0/elasticsearch-analysis-pinyin-6.7.0.zip
# 解压
mkdir ./pinyin
unzip elasticsearch-analysis-pinyin-6.7.0.zip -d ./pinyin/
# 复制到容器内
docker cp pinyin elasticsearch:/usr/share/elasticsearch/plugins/
# 重启es节点
docker restart elasticsearch3、测试
我们可以使用curl命令或者kibana测试
# Curl方式
curl -X POST -H "Content-Type:application/json" -d "{\"analyzer\":\"pinyin\",\"text\":\"刘德华\"}" http://139.9.70.155:10092/_analyze
# Kibana方式
GET _analyze
{
"text":"刘德华",
"analyzer":"pinyin"
}返回拼音表示安装完成
{
"tokens" : [
{
"token" : "liu",
"start_offset" : 0,
"end_offset" : 0,
"type" : "word",
"position" : 0
},
{
"token" : "de",
"start_offset" : 0,
"end_offset" : 0,
"type" : "word",
"position" : 1
},
{
"token" : "hua",
"start_offset" : 0,
"end_offset" : 0,
"type" : "word",
"position" : 2
},
{
"token" : "ldh",
"start_offset" : 0,
"end_offset" : 0,
"type" : "word",
"position" : 2
}
]
}下面我们将拼音以及分词都结合起来进行搜索，首先我们创建一个索引，这里表示我们分词采用自定义的方式进行分词我们分别将ik_smart以及ik_max_word都对pinyin进行了整合，并且我们的主分片3个，每个分片一个副本集
PUT /test_pinyin
{
"settings": {
"analysis": {
"analyzer": {
"ik_smart_pinyin": {
"type": "custom",
"tokenizer": "ik_smart",
"filter": ["my_pinyin", "word_delimiter"]
},
"ik_max_word_pinyin": {
"type": "custom",
"tokenizer": "ik_max_word",
"filter": ["my_pinyin", "word_delimiter"]
}
},
"filter": {
"my_pinyin": {
"type" : "pinyin",
"keep_separate_first_letter" : true,
"keep_full_pinyin" : true,
"keep_original" : true,
"first_letter": "prefix",
"limit_first_letter_length" : 16,
"lowercase" : true,
"remove_duplicated_term" : true
}
}
},
"number_of_shards": 3,
"number_of_replicas": 1
}
}然后我们创建一个_mapping模板他的类型是test，用于设置字段指定使用哪个分词器，手动创建mapping
PUT /test_pinyin/test/_mapping
{
"properties": {
"content": {
"type": "text",
"analyzer": "ik_smart_pinyin",
"search_analyzer": "ik_smart_pinyin",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"age": {
"type": "long"
}
}
}然后创建之后我们来导入几条条数据
POST /test_pinyin/test/
{
"content":"小米手机有点东西",
"age":18
}
POST /test_pinyin/test/
{
"content":"中华人民共和国有个刘德华",
"age":18
}
然后我们就能开始愉快的查询了,首先我们不分词直接中文搜索
# 搜索刘德华查询出结果
POST /test_pinyin/test/_search
{
"query":{
"match":{
"content":"刘德华"
}
}
}
# 搜索liudehua查询出结果
POST /test_pinyin/test/_search
{
"query":{
"match":{
"content":"liudehua"
}
}
}
# 搜索小米查询出结果
POST /test_pinyin/test/_search
{
"query":{
"match":{
"content":"小米"
}
}
}
# 搜索xiaomi查询出结果
POST /test_pinyin/test/_search
{
"query":{
"match":{
"content":"xiaomi"
}
}
}