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IK Analysis for ElasticSearch

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

--------------------------------------------------
| IK  Analysis Plugin         |   ElasticSearch  |
--------------------------------------------------
| master                      | 0.19.4 -> master |
--------------------------------------------------
| 1.1.0                       | 0.19.4 -> master |
--------------------------------------------------
| 1.0.0                       | 0.16.2 -> 0.19.0 |
--------------------------------------------------

Install

In order to install the plugin, simply run:

cd bin
plugin -install medcl/elasticsearch-analysis-ik/1.1.0

also download the dict files,unzip these dict file to your elasticsearch's config folder,such as: your-es-root/config/ik

cd config
wget http://github.com/downloads/medcl/elasticsearch-analysis-ik/ik.zip --no-check-certificate
unzip ik.zip
rm ik.zip

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



  
  
	IK Analyzer 扩展配置
		
	custom/mydict.dic;custom/sougou.dict 	
	 
	custom/ext_stopword.dic 	


Analysis Configuration (elasticsearch.yml)

index:
  analysis:                   
    analyzer:      
      ik:
          alias: [ik_analyzer]
          type: org.elasticsearch.index.analysis.IkAnalyzerProvider

Or

index.analysis.analyzer.ik.type : "ik"

Mapping Configuration

Here is a quick example: 1.create a index


curl -XPUT http://localhost:9200/index

2.create a mapping


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.indexing some docs


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"}
'

4.query with highlighting


curl -XPOST http://localhost:9200/index/fulltext/_search  -d'
{
    "query" : { "term" : { "content" : "中国" }},
    "highlight" : {
        "pre_tags" : ["", ""],
        "post_tags" : ["", ""],
        "fields" : {
            "content" : {}
        }
    }
}
'

here is the query result


{
    "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 "
                    ]
                }
            }
        ]
    }
}

have fun.

Description
The IK Analysis plugin integrates Lucene IK analyzer into elasticsearch, support customized dictionary.
Readme 9.1 MiB
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