245 lines
7.0 KiB
Markdown
245 lines
7.0 KiB
Markdown
IK Analysis for ElasticSearch
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=============================
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The IK Analysis plugin integrates Lucene IK analyzer (http://code.google.com/p/ik-analyzer/) into elasticsearch, support customized dictionary.
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Analyzer: `ik_smart` , `ik_max_word` , Tokenizer: `ik_smart` , `ik_max_word`
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Versions
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--------
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IK version | ES version
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-----------|-----------
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master | 2.1.0 -> master
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1.6.1 | 2.1.0
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1.5.0 | 2.0.0
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1.4.1 | 1.7.2
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1.4.0 | 1.6.0
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1.3.0 | 1.5.0
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1.2.9 | 1.4.0
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1.2.8 | 1.3.2
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1.2.7 | 1.2.1
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1.2.6 | 1.0.0
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1.2.5 | 0.90.x
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1.1.3 | 0.20.x
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1.1.2 | 0.19.x
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1.0.0 | 0.16.2 -> 0.19.0
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Install
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-------
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1.compile
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`mvn package`
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copy and unzip `target/releases/elasticsearch-analysis-ik-{version}.zip` to `your-es-root/plugins/ik`
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2.config files:
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download the dict files,unzip these dict file into your elasticsearch's config folder,such as: `your-es-root/config/ik`
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3.restart elasticsearch
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Tips:
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ik_max_word: 会将文本做最细粒度的拆分，比如会将“中华人民共和国国歌”拆分为“中华人民共和国,中华人民,中华,华人,人民共和国,人民,人,民,共和国,共和,和,国国,国歌”，会穷尽各种可能的组合；
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ik_smart: 会做最粗粒度的拆分，比如会将“中华人民共和国国歌”拆分为“中华人民共和国,国歌”。
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#### Quick Example
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1.create a index
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```bash
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curl -XPUT http://localhost:9200/index
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```
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2.create a mapping
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```bash
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curl -XPOST http://localhost:9200/index/fulltext/_mapping -d'
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{
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"fulltext": {
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"_all": {
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"analyzer": "ik_max_word",
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"search_analyzer": "ik_max_word",
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"term_vector": "no",
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"store": "false"
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},
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"properties": {
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"content": {
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"type": "string",
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"store": "no",
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"term_vector": "with_positions_offsets",
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"analyzer": "ik_max_word",
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"search_analyzer": "ik_max_word",
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"include_in_all": "true",
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"boost": 8
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}
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}
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}
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}'
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```
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3.index some docs
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```bash
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curl -XPOST http://localhost:9200/index/fulltext/1 -d'
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{"content":"美国留给伊拉克的是个烂摊子吗"}
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'
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```
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```bash
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curl -XPOST http://localhost:9200/index/fulltext/2 -d'
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{"content":"公安部：各地校车将享最高路权"}
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'
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```
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```bash
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curl -XPOST http://localhost:9200/index/fulltext/3 -d'
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{"content":"中韩渔警冲突调查：韩警平均每天扣1艘中国渔船"}
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'
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```
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```bash
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curl -XPOST http://localhost:9200/index/fulltext/4 -d'
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{"content":"中国驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首"}
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'
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```
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4.query with highlighting
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```bash
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curl -XPOST http://localhost:9200/index/fulltext/_search -d'
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{
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"query" : { "term" : { "content" : "中国" }},
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"highlight" : {
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"pre_tags" : ["<tag1>", "<tag2>"],
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"post_tags" : ["</tag1>", "</tag2>"],
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"fields" : {
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"content" : {}
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}
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}
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}
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'
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```
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Result
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```json
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{
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"took": 14,
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"timed_out": false,
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"_shards": {
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"total": 5,
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"successful": 5,
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"failed": 0
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},
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"hits": {
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"total": 2,
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"max_score": 2,
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"hits": [
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{
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"_index": "index",
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"_type": "fulltext",
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"_id": "4",
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"_score": 2,
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"_source": {
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"content": "中国驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首"
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},
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"highlight": {
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"content": [
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"<tag1>中国</tag1>驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首 "
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]
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}
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},
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{
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"_index": "index",
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"_type": "fulltext",
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"_id": "3",
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"_score": 2,
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"_source": {
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"content": "中韩渔警冲突调查：韩警平均每天扣1艘中国渔船"
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},
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"highlight": {
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"content": [
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"均每天扣1艘<tag1>中国</tag1>渔船 "
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]
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}
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}
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]
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}
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}
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```
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### Dictionary Configuration
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#### `config/ik/IKAnalyzer.cfg.xml`
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```xml
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<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE properties SYSTEM "http://java.sun.com/dtd/properties.dtd">
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<properties>
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<comment>IK Analyzer 扩展配置</comment>
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<!--用户可以在这里配置自己的扩展字典 -->
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<entry key="ext_dict">custom/mydict.dic;custom/single_word_low_freq.dic</entry>
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<!--用户可以在这里配置自己的扩展停止词字典-->
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<entry key="ext_stopwords">custom/ext_stopword.dic</entry>
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<!--用户可以在这里配置远程扩展字典 -->
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<entry key="remote_ext_dict">location</entry>
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<!--用户可以在这里配置远程扩展停止词字典-->
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<entry key="remote_ext_stopwords">http://xxx.com/xxx.dic</entry>
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</properties>
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```
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### 热更新 IK 分词使用方法
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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
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```xml
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<!--用户可以在这里配置远程扩展字典 -->
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<entry key="remote_ext_dict">location</entry>
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<!--用户可以在这里配置远程扩展停止词字典-->
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<entry key="remote_ext_stopwords">location</entry>
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```
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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。
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1. 该 http 请求需要返回两个头部(header)，一个是 `Last-Modified`，一个是 `ETag`，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。
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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。
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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。
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可以将需自动更新的热词放在一个 UTF-8 编码的 .txt 文件里，放在 nginx 或其他简易 http server 下，当 .txt 文件修改时，http server 会在客户端请求该文件时自动返回相应的 Last-Modified 和 ETag。可以另外做一个工具来从业务系统提取相关词汇，并更新这个 .txt 文件。
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have fun.
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常见问题
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-------
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1.自定义词典为什么没有生效？
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请确保你的扩展词典的文本格式为 UTF8 编码
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2.如何手动安装，以 1.3.0 為例？（参考：https://github.com/medcl/elasticsearch-analysis-ik/issues/46 ）
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```bash
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git clone https://github.com/medcl/elasticsearch-analysis-ik
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cd elasticsearch-analysis-ik
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mvn clean
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mvn compile
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mvn package
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copy & unzip file #{project_path}/elasticsearch-analysis-ik/target/releases/elasticsearch-analysis-ik-xxx.zip to your elasticsearch's folder: plugins/ik
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```
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Thanks
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------
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YourKit supports IK Analysis for ElasticSearch project with its full-featured Java Profiler.
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YourKit, LLC is the creator of innovative and intelligent tools for profiling
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Java and .NET applications. Take a look at YourKit's leading software products:
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<a href="http://www.yourkit.com/java/profiler/index.jsp">YourKit Java Profiler</a> and
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<a href="http://www.yourkit.com/.net/profiler/index.jsp">YourKit .NET Profiler</a>.
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