ElasticSearch使用IK中文分词---安装步骤记录

提示1:必须保证之前的ES中不存在index, 否则ES集群无法启动, 会提示red!

提示2:下载的IK如果太新,会报错 TokenStream被重载Caused by: java.lang.VerifyError: class org.wltea.analyzer.lucene.IKAnalyzer overrides final method tokenStream.(Ljava/lang/String;Ljava/io/Reader;)Lorg/apache/lucene/analysis/TokenStream; 这个时候可以换一个旧的版本.

 

1.下载IK字典配置文件

http://download.csdn.net/detail/xxx0624/8464751

然后解压该文件(可以得到一个ik文件夹)并把它放到ES的config文件夹下.

2.下载 ik.jar

http://download.csdn.net/detail/xxx0624/8464743

下载后进入.plugins文件夹(若不存在 新建一个):

新建一个名字为analysis-ik的文件夹,再把下载的jar文件放入文件夹内

 

以上链接的jar包是最新的 可能不适用  你需要到github上下载旧版本的代码, 然后用mvn clean package来进行编译.

 

3.修改elasticsearch.yml(config文件夹中)

添加:

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

 

 

附上官方说明:

IK Analysis for ElasticSearch

==================================



The IK Analysis plugin integrates Lucene IK analyzer into elasticsearch, support customized dictionary.





Version

-------------

 master                      | 0.90.0 -> master

 1.1.4                       | 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/elasticsearch/plugins/analysis-ik

https://github.com/medcl/elasticsearch-rtf/tree/master/elasticsearch/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/sougou.dict</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>     

</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.

 

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