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.