IK Analysis for Elasticsearch ============================= The IK Analysis plugin integrates Lucene IK analyzer (http://code.google.com/p/ik-analyzer/) into elasticsearch, support customized dictionary. Analyzer: `ik_smart` , `ik_max_word` , Tokenizer: `ik_smart` , `ik_max_word` Versions -------- IK version | ES version -----------|----------- master | 7.x -> master 6.x| 6.x 5.x| 5.x 1.10.6 | 2.4.6 1.9.5 | 2.3.5 1.8.1 | 2.2.1 1.7.0 | 2.1.1 1.5.0 | 2.0.0 1.2.6 | 1.0.0 1.2.5 | 0.90.x 1.1.3 | 0.20.x 1.0.0 | 0.16.2 -> 0.19.0 Install ------- 1.download or compile * optional 1 - download pre-build package from here: https://github.com/medcl/elasticsearch-analysis-ik/releases create plugin folder `cd your-es-root/plugins/ && mkdir ik` unzip plugin to folder `your-es-root/plugins/ik` * optional 2 - use elasticsearch-plugin to install ( supported from version v5.5.1 ): ``` ./bin/elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v6.3.0/elasticsearch-analysis-ik-6.3.0.zip ``` NOTE: replace `6.3.0` to your own elasticsearch version 2.restart elasticsearch #### Quick Example 1.create a index ```bash curl -XPUT http://localhost:9200/index ``` 2.create a mapping ```bash curl -XPOST http://localhost:9200/index/_mapping -H 'Content-Type:application/json' -d' { "properties": { "content": { "type": "text", "analyzer": "ik_max_word", "search_analyzer": "ik_smart" } } }' ``` 3.index some docs ```bash curl -XPOST http://localhost:9200/index/_create/1 -H 'Content-Type:application/json' -d' {"content":"美国留给伊拉克的是个烂摊子吗"} ' ``` ```bash curl -XPOST http://localhost:9200/index/_create/2 -H 'Content-Type:application/json' -d' {"content":"公安部:各地校车将享最高路权"} ' ``` ```bash curl -XPOST http://localhost:9200/index/_create/3 -H 'Content-Type:application/json' -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/_create/4 -H 'Content-Type:application/json' -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/_search -H 'Content-Type:application/json' -d' { "query" : { "match" : { "content" : "中国" }}, "highlight" : { "pre_tags" : ["", ""], "post_tags" : ["", ""], "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": [ "中国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艘中国渔船 " ] } } ] } } ``` ### Dictionary Configuration `IKAnalyzer.cfg.xml` can be located at `{conf}/analysis-ik/config/IKAnalyzer.cfg.xml` or `{plugins}/elasticsearch-analysis-ik-*/config/IKAnalyzer.cfg.xml` ```xml IK Analyzer 扩展配置 custom/mydict.dic;custom/single_word_low_freq.dic custom/ext_stopword.dic location http://xxx.com/xxx.dic ``` ### 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 location location ``` 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 `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。 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。 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。 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? ```bash git clone https://github.com/medcl/elasticsearch-analysis-ik cd elasticsearch-analysis-ik git checkout tags/{version} mvn clean mvn compile mvn package ``` 拷贝和解压release下的文件: #{project_path}/elasticsearch-analysis-ik/target/releases/elasticsearch-analysis-ik-*.zip 到你的 elasticsearch 插件目录, 如: plugins/ik 重启elasticsearch 3.分词测试失败 请在某个索引下调用analyze接口测试,而不是直接调用analyze接口 如: ```bash curl -XGET "http://localhost:9200/your_index/_analyze" -H 'Content-Type: application/json' -d' { "text":"中华人民共和国MN","tokenizer": "my_ik" }' ``` 4. ik_max_word 和 ik_smart 什么区别? 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,适合 Term Query; 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”,适合 Phrase 查询。 Changes ------ *自 v5.0.0 起* - 移除名为 `ik` 的analyzer和tokenizer,请分别使用 `ik_smart` 和 `ik_max_word` 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: YourKit Java Profiler and YourKit .NET Profiler.