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IK Analysis for ElasticSearch
==================================
更新说明:
对于使用es集群,用ik作为分词插件,经常会修改自定义词典,增加远程加载,每次更新都会重新加载词典,不必重启es服务。
The IK Analysis plugin integrates Lucene IK analyzer into elasticsearch, support customized dictionary.
Tokenizer: `ik`
Version
-------------
master | 1.5.0 -> master
1.4.0 | 1.6.0
1.3.0 | 1.5.0
1.2.9 | 1.4.0
1.2.8 | 1.3.2
1.2.7 | 1.2.1
1.2.6 | 1.0.0
1.2.5 | 0.90.2
1.2.3 | 0.90.2
1.2.0 | 0.90.0
1.1.3 | 0.20.2
1.1.2 | 0.19.x
1.0.0 | 0.16.2 -> 0.19.0
Thanks
-------------
YourKit supports IK Analysis for ElasticSearch project with its full-featured Java Profiler.
YourKit, LLC is the creator of innovative and intelligent tools for profiling
Java and .NET applications. Take a look at YourKit's leading software products:
<a href="http://www.yourkit.com/java/profiler/index.jsp">YourKit Java Profiler</a> and
<a href="http://www.yourkit.com/.net/profiler/index.jsp">YourKit .NET Profiler</a>.
Install
-------------
you can download this plugin from RTF project(https://github.com/medcl/elasticsearch-rtf)
https://github.com/medcl/elasticsearch-rtf/tree/master/plugins/analysis-ik
https://github.com/medcl/elasticsearch-rtf/tree/master/config/ik
<del>also remember to download the dict files,unzip these dict file into your elasticsearch's config folder,such as: your-es-root/config/ik</del>
you need a service restart after that!
Dict Configuration (es-root/config/ik/IKAnalyzer.cfg.xml)
-------------
https://github.com/medcl/elasticsearch-analysis-ik/blob/master/config/ik/IKAnalyzer.cfg.xml
<pre>
<?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">location</entry>
</properties>
</pre>
Analysis Configuration (elasticsearch.yml)
-------------
<pre>
index:
analysis:
analyzer:
ik:
alias: [ik_analyzer]
type: org.elasticsearch.index.analysis.IkAnalyzerProvider
ik_max_word:
type: ik
use_smart: false
ik_smart:
type: ik
use_smart: true
</pre>
Or
<pre>
index.analysis.analyzer.ik.type : "ik"
</pre>
you can set your prefer segment mode,default `use_smart` is false.
Mapping Configuration
-------------
Here is a quick example:
1.create a index
<pre>
curl -XPUT http://localhost:9200/index
</pre>
2.create a mapping
<pre>
curl -XPOST http://localhost:9200/index/fulltext/_mapping -d'
{
"fulltext": {
"_all": {
"indexAnalyzer": "ik",
"searchAnalyzer": "ik",
"term_vector": "no",
"store": "false"
},
"properties": {
"content": {
"type": "string",
"store": "no",
"term_vector": "with_positions_offsets",
"indexAnalyzer": "ik",
"searchAnalyzer": "ik",
"include_in_all": "true",
"boost": 8
}
}
}
}'
</pre>
3.index some docs
<pre>
curl -XPOST http://localhost:9200/index/fulltext/1 -d'
{"content":"美国留给伊拉克的是个烂摊子吗"}
'
curl -XPOST http://localhost:9200/index/fulltext/2 -d'
{"content":"公安部:各地校车将享最高路权"}
'
curl -XPOST http://localhost:9200/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://localhost:9200/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"}
'
</pre>
4.query with highlighting
<pre>
curl -XPOST http://localhost:9200/index/fulltext/_search -d'
{
"query" : { "term" : { "content" : "中国" }},
"highlight" : {
"pre_tags" : ["<tag1>", "<tag2>"],
"post_tags" : ["</tag1>", "</tag2>"],
"fields" : {
"content" : {}
}
}
}
'
</pre>
here is the query result
<pre>
{
"took": 14,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 2,
"hits": [
{
"_index": "index",
"_type": "fulltext",
"_id": "4",
"_score": 2,
"_source": {
"content": "中国驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首"
},
"highlight": {
"content": [
"<tag1>中国</tag1>驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首 "
]
}
},
{
"_index": "index",
"_type": "fulltext",
"_id": "3",
"_score": 2,
"_source": {
"content": "中韩渔警冲突调查:韩警平均每天扣1艘中国渔船"
},
"highlight": {
"content": [
"均每天扣1艘<tag1>中国</tag1>渔船 "
]
}
}
]
}
}
</pre>
have fun.
热更新IK分词使用方法
----------
目前该插件支持热更新 ik 分词,通过上文在 ik 配置文件中提到的如下配置
<pre>
<!--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">location</entry>
</pre>
其中 `location` 是指一个 url,比如 `http://yoursite.com/getCustomDict`,该请求只需满足一下两点即可完成分词热更新。
1. 该 http 请求需要返回两个头部,一个是 `Last-Modified`,一个是 `ETags`,这两者都是字符串类型,只要有一个发生变化,该插件就会去抓取新的分词进而更新词库。
2. 该 http 请求返回的内容格式是一行一个分词,换行符用 `\n` 即可。
满足上面两点要求就可以实现热更新分词了,不需要重启 es 实例。
常见问题:
-------------
1.自定义词典为什么没有生效?
请确保你的扩展词典的文本格式为 UTF8 编码
2.如何手动安装,以 1.3.0 為例?(参考:https://github.com/medcl/elasticsearch-analysis-ik/issues/46)
`git clone https://github.com/medcl/elasticsearch-analysis-ik`
`cd elasticsearch-analysis-ik`
`mvn compile`
`mvn package`
`plugin --install analysis-ik --url file:///#{project_path}/elasticsearch-analysis-ik/target/releases/elasticsearch-analysis-ik-1.3.0.zip`
IK Analysis for ElasticSearch
=============================
The IK Analysis plugin integrates Lucene IK analyzer into elasticsearch, support customized dictionary.
Tokenizer: `ik`
更新:对于使用 ES 集群,用 IK 作为分词插件,经常会修改自定义词典的使用者,可以透过远程加载的方式,每次更新都会重新加载词典,不必重启 ES 服务。
Versions
--------
IK version | ES version
-----------|-----------
master | 1.5.0 -> master
1.4.0 | 1.6.0
1.3.0 | 1.5.0
1.2.9 | 1.4.0
1.2.8 | 1.3.2
1.2.7 | 1.2.1
1.2.6 | 1.0.0
1.2.5 | 0.90.2
1.2.3 | 0.90.2
1.2.0 | 0.90.0
1.1.3 | 0.20.2
1.1.2 | 0.19.x
1.0.0 | 0.16.2 -> 0.19.0
Install
-------
you can download this plugin from RTF project(https://github.com/medcl/elasticsearch-rtf)
https://github.com/medcl/elasticsearch-rtf/tree/master/plugins/analysis-ik
https://github.com/medcl/elasticsearch-rtf/tree/master/config/ik
<del>also remember to download the dict files,unzip these dict file into your elasticsearch's config folder,such as: your-es-root/config/ik</del>
you need a service restart after that!
Configuration
-------------
### Analysis Configuration
#### `elasticsearch.yml`
```yaml
index:
analysis:
analyzer:
ik:
alias: [ik_analyzer]
type: org.elasticsearch.index.analysis.IkAnalyzerProvider
ik_max_word:
type: ik
use_smart: false
ik_smart:
type: ik
use_smart: true
```
Or
```yaml
index.analysis.analyzer.ik.type : "ik"
```
you can set your prefer segment mode,default `use_smart` is false.
### Mapping Configuration
#### Quick Example
1. create a index
```bash
curl -XPUT http://localhost:9200/index
```
2. create a mapping
```bash
curl -XPOST http://localhost:9200/index/fulltext/_mapping -d'
{
"fulltext": {
"_all": {
"indexAnalyzer": "ik",
"searchAnalyzer": "ik",
"term_vector": "no",
"store": "false"
},
"properties": {
"content": {
"type": "string",
"store": "no",
"term_vector": "with_positions_offsets",
"indexAnalyzer": "ik",
"searchAnalyzer": "ik",
"include_in_all": "true",
"boost": 8
}
}
}
}'
```
3. index some docs
```bash
curl -XPOST http://localhost:9200/index/fulltext/1 -d'
{"content":"美国留给伊拉克的是个烂摊子吗"}
'
```
```bash
curl -XPOST http://localhost:9200/index/fulltext/2 -d'
{"content":"公安部:各地校车将享最高路权"}
'
```
```bash
curl -XPOST http://localhost:9200/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"}
'
```
```bash
curl -XPOST http://localhost:9200/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"}
'
```
4. query with highlighting
```bash
curl -XPOST http://localhost:9200/index/fulltext/_search -d'
{
"query" : { "term" : { "content" : "中国" }},
"highlight" : {
"pre_tags" : ["<tag1>", "<tag2>"],
"post_tags" : ["</tag1>", "</tag2>"],
"fields" : {
"content" : {}
}
}
}
'
```
#### Result
```json
{
"took": 14,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 2,
"hits": [
{
"_index": "index",
"_type": "fulltext",
"_id": "4",
"_score": 2,
"_source": {
"content": "中国驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首"
},
"highlight": {
"content": [
"<tag1>中国</tag1>驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首 "
]
}
},
{
"_index": "index",
"_type": "fulltext",
"_id": "3",
"_score": 2,
"_source": {
"content": "中韩渔警冲突调查:韩警平均每天扣1艘中国渔船"
},
"highlight": {
"content": [
"均每天扣1艘<tag1>中国</tag1>渔船 "
]
}
}
]
}
}
```
### Dictionary Configuration
#### `config/ik/IKAnalyzer.cfg.xml`
```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">location</entry>
</properties>
```
### 热更新 IK 分词使用方法
目前该插件支持热更新 IK 分词,通过上文在 IK 配置文件中提到的如下配置
```xml
<!--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">location</entry>
```
其中 `location` 是指一个 url,比如 `http://yoursite.com/getCustomDict`,该请求只需满足以下两点即可完成分词热更新。
1. 该 http 请求需要返回两个头部(header),一个是 `Last-Modified`,一个是 `ETags`,这两者都是字符串类型,只要有一个发生变化,该插件就会去抓取新的分词进而更新词库。
2. 该 http 请求返回的内容格式是一行一个分词,换行符用 `\n` 即可。
满足上面两点要求就可以实现热更新分词了,不需要重启 ES 实例。
have fun.
常见问题
-------
1.自定义词典为什么没有生效?
请确保你的扩展词典的文本格式为 UTF8 编码
2.如何手动安装,以 1.3.0 為例?(参考:https://github.com/medcl/elasticsearch-analysis-ik/issues/46)
```bash
git clone https://github.com/medcl/elasticsearch-analysis-ik
cd elasticsearch-analysis-ik
mvn compile
mvn package
plugin --install analysis-ik --url file:///#{project_path}/elasticsearch-analysis-ik/target/releases/elasticsearch-analysis-ik-1.3.0.zip
```
Thanks
------
YourKit supports IK Analysis for ElasticSearch project with its full-featured Java Profiler.
YourKit, LLC is the creator of innovative and intelligent tools for profiling
Java and .NET applications. Take a look at YourKit's leading software products:
<a href="http://www.yourkit.com/java/profiler/index.jsp">YourKit Java Profiler</a> and
<a href="http://www.yourkit.com/.net/profiler/index.jsp">YourKit .NET Profiler</a>.
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