Elasticsearch 中文分词器IK
1、安装说明
https://github.com/medcl/elasticsearch-analysis-ik
2、release版本
https://github.com/medcl/elasticsearch-analysis-ik/releases
3、安装插件
bin/elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v6.5.1/elasticsearch-analysis-ik-6.1.1.zip
[es@bigdata-senior01 elasticsearch-6.5.1]$ ll plugins/analysis-ik/ 总用量 1428 -rw-r--r-- 1 es es 263965 12月 12 10:30 commons-codec-1.9.jar -rw-r--r-- 1 es es 61829 12月 12 10:30 commons-logging-1.2.jar -rw-r--r-- 1 es es 54693 12月 12 10:30 elasticsearch-analysis-ik-6.5.1.jar -rw-r--r-- 1 es es 736658 12月 12 10:30 httpclient-4.5.2.jar -rw-r--r-- 1 es es 326724 12月 12 10:30 httpcore-4.4.4.jar -rw-r--r-- 1 es es 1805 12月 12 10:30 plugin-descriptor.proper
也可以自己下载包之后解压缩，copy到plugins下即可
4、扩展词库
在es目录下config/analysis-ik/中
新建自己的词库，utf8编码
mkdir mydic vi myword001.dic 魔兽世界 李云龙 嫦娥
修改配置文件
<?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE properties SYSTEM "http://java.sun.com/dtd/properties.dtd"> <properties> <comment>IK Analyzer 扩展配置</comment> <!--用户可以在这里配置自己的扩展字典 --> <entry key="ext_dict">mydic/myword001.dic</entry> <!--用户可以在这里配置自己的扩展停止词字典--> <entry key="ext_stopwords"></entry> <!--用户可以在这里配置远程扩展字典 --> <!-- <entry key="remote_ext_dict">words_location</entry> --> <!--用户可以在这里配置远程扩展停止词字典--> <!-- <entry key="remote_ext_stopwords">words_location</entry> --> </properties>
官网说明：
IKAnalyzer.cfg.xml can be located at {conf}/analysis-ik/config/IKAnalyzer.cfg.xml or {plugins}/elasticsearch-analysis-ik-*/config/IKAnalyzer.cfg.xml
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE properties SYSTEM "http://java.sun.com/dtd/properties.dtd">
<properties>
<comment>IK Analyzer 扩展配置</comment>
<!--用户可以在这里配置自己的扩展字典 -->
<entry key="ext_dict">custom/mydict.dic;custom/single_word_low_freq.dic</entry>
<!--用户可以在这里配置自己的扩展停止词字典-->
<entry key="ext_stopwords">custom/ext_stopword.dic</entry>
<!--用户可以在这里配置远程扩展字典 -->
<entry key="remote_ext_dict">location</entry>
<!--用户可以在这里配置远程扩展停止词字典-->
<entry key="remote_ext_stopwords">http://xxx.com/xxx.dic</entry>
</properties>
测试：
GET _analyze
{
"analyzer": "ik_smart",
"text": "魔兽世界"
}
{
"tokens" : [
{
"token" : "魔兽世界",
"start_offset" : 0,
"end_offset" : 4,
"type" : "CN_WORD",
"position" : 0
}
]
}
GET _analyze
{
"analyzer": "ik_max_word",
"text": "魔兽世界"
}
{
"tokens" : [
{
"token" : "魔兽世界",
"start_offset" : 0,
"end_offset" : 4,
"type" : "CN_WORD",
"position" : 0
},
{
"token" : "魔兽",
"start_offset" : 0,
"end_offset" : 2,
"type" : "CN_WORD",
"position" : 1
},
{
"token" : "世界",
"start_offset" : 2,
"end_offset" : 4,
"type" : "CN_WORD",
"position" : 2
}
]
}
ik_smart 是粗粒度分词，分过的词不在参与分词。
ik_max_word是细粒度分词，根据可能的词进行组合.
5、使用分词
5.1直接在settings里设置缺省的分词器
PUT user
{
"settings": {
"number_of_shards": 2,
"number_of_replicas": 1,
"index" : {
"analysis.analyzer.default.type": "ik_smart"
}
}
}
}
PUT bus3
{
"settings": {
"number_of_shards": 1,
"number_of_replicas": 0,
"index" : {
"analysis.analyzer.default.type": "ik_max_word",
"analysis.search_analyzer.default.type":"ik_smart"
}
}
}
}
GET /bus/_settings
返回：
{
"bus3" : {
"settings" : {
"index" : {
"number_of_shards" : "1",
"provided_name" : "bus3",
"creation_date" : "1545318988048",
"analysis" : {
"analyzer" : {
"default" : {
"type" : "ik_max_word"
}
},
"search_analyzer" : {
"default" : {
"type" : "ik_smart"
}
}
},
"number_of_replicas" : "0",
"uuid" : "dOU8yi5pRdi-0Akq_zCWtw",
"version" : {
"created" : "6050199"
}
}
}
}
}
5.2 在mapping里对每个字段设置
PUT bus
{
"settings": {
"number_of_shards": 1,
"number_of_replicas": 0
},
"mappings": {
"product":{
"properties": {
"name":{
"type": "text",
"analyzer": "ik_max_word",
"search_analyzer": "ik_max_word"
}
}
}
}
}
GET bus/_mapping
{
"bus" : {
"mappings" : {
"product" : {
"properties" : {
"name" : {
"type" : "text",
"analyzer" : "ik_max_word"
}
}
}
}
}
}
查询测试1：查询使用分词器ik_smart
GET /bus/_search
{
"query": {
"match": {
"name": {
"query": "公交车"
, "analyzer": "ik_smart"
}
}
},
"highlight": {
"fields": {"name": {}}
}
}
返回：
{
"took" : 3,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : 5,
"max_score" : 1.8566245,
"hits" : [
{
"_index" : "bus",
"_type" : "product",
"_id" : "1",
"_score" : 1.8566245,
"_source" : {
"name" : "公交车1路",
"desc" : "从东站到西站",
"price" : 10,
"producer" : "东部公交",
"tags" : [
"普通",
"单层"
],
"memo" : "a test"
},
"highlight" : {
"name" : [
"<em>公交车</em>1路"
]
}
}
]
}
}
查询测试2：查询使用分词器ik_max_word
GET /bus/_search
{
"from": 0, "size": 1,
"query": {
"match": {
"name": {
"query": "公交车"
, "analyzer": "ik_max_word"
}
}
},
"highlight": {
"fields": {"name": {}}
}
}
返回：
{
"took" : 5,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : 5,
"max_score" : 7.426498,
"hits" : [
{
"_index" : "bus",
"_type" : "product",
"_id" : "1",
"_score" : 7.426498,
"_source" : {
"name" : "公交车1路",
"desc" : "从东站到西站",
"price" : 10,
"producer" : "东部公交",
"tags" : [
"普通",
"单层"
],
"memo" : "a test"
},
"highlight" : {
"name" : [
"<em>公交</em><em>车</em>1路"
]
}
}
]
}
}
可以看到高亮部分是不一样的，一般情况我们可以分词用ik_max_word，查询分词用ik_smart。
