elasticsearch2.x ik插件
先来一个标准分词（standard），配置如下：
curl -XPUT localhost:9200/local -d '{ "settings" : { "analysis" : { "analyzer" : { "stem" : { "tokenizer" : "standard", "filter" : ["standard", "lowercase", "stop", "porter_stem"] } } } }, "mappings" : { "article" : { "dynamic" : true, "properties" : { "title" : { "type" : "string", "analyzer" : "stem" } } } } }'
index:local
type:article
default analyzer:stem (filter:小写、停用词等)
field:title
测试：
# Index Data curl -XPUT localhost:9200/local/article/1 -d'{"title": "Fight for your life"}' curl -XPUT localhost:9200/local/article/2 -d'{"title": "Fighting for your life"}' curl -XPUT localhost:9200/local/article/3 -d'{"title": "My dad fought a dog"}' curl -XPUT localhost:9200/local/article/4 -d'{"title": "Bruno fights Tyson tomorrow"}' # search on the title field, which is stemmed on index and search curl -XGET localhost:9200/local/_search?q=title:fight # searching on _all will not do anystemming, unless also configured on the mapping to be stemmed... curl -XGET localhost:9200/local/_search?q=fight
例如：
Fight for your life
分词如下：
{"tokens":[
{"token":"fight","start_offset":1,"end_offset":6,"type":"<ALPHANUM>","position":1},<br>{"token":"your","start_offset":11,"end_offset":15,"type":"<ALPHANUM>","position":3},<br>{"token":"life","start_offset":16,"end_offset":20,"type":"<ALPHANUM>","position":4}
]}
部署ik分词器
在elasticsearch.yml中配置 index.analysis.analyzer.ik.type : "ik"
delete之前创建的index，重新配置如下：
curl -XPUT localhost:9200/local -d '{ "settings" : { "analysis" : { "analyzer" : { "ik" : { "tokenizer" : "ik" } } } }, "mappings" : { "article" : { "dynamic" : true, "properties" : { "title" : { "type" : "string", "analyzer" : "ik" } } } } }'
测试：
curl 'http://localhost:9200/local/_analyze?analyzer=ik&pretty=true' -d' { "text":"中华人民共和国国歌" } ' { "tokens" : [ { "token" : "text", "start_offset" : 12, "end_offset" : 16, "type" : "ENGLISH", "position" : 1 }, { "token" : "中华人民共和国", "start_offset" : 19, "end_offset" : 26, "type" : "CN_WORD", "position" : 2 }, { "token" : "国歌", "start_offset" : 26, "end_offset" : 28, "type" : "CN_WORD", "position" : 3 } ] }
如果我们想返回最细粒度的分词结果，需要在elasticsearch.yml中配置如下：
index: analysis: analyzer: ik: alias: [ik_analyzer] type: org.elasticsearch.index.analysis.IkAnalyzerProvider ik_smart: type: ik use_smart: true ik_max_word: type: ik use_smart: false
测试：
curl 'http://localhost:9200/index/_analyze?analyzer=ik_max_word&pretty=true' -d' { "text":"中华人民共和国国歌" } ' { "tokens" : [ { "token" : "text", "start_offset" : 12, "end_offset" : 16, "type" : "ENGLISH", "position" : 1 }, { "token" : "中华人民共和国", "start_offset" : 19, "end_offset" : 26, "type" : "CN_WORD", "position" : 2 }, { "token" : "中华人民", "start_offset" : 19, "end_offset" : 23, "type" : "CN_WORD", "position" : 3 }, { "token" : "中华", "start_offset" : 19, "end_offset" : 21, "type" : "CN_WORD", "position" : 4 }, { "token" : "华人", "start_offset" : 20, "end_offset" : 22, "type" : "CN_WORD", "position" : 5 }, { "token" : "人民共和国", "start_offset" : 21, "end_offset" : 26, "type" : "CN_WORD", "position" : 6 }, { "token" : "人民", "start_offset" : 21, "end_offset" : 23, "type" : "CN_WORD", "position" : 7 }, { "token" : "共和国", "start_offset" : 23, "end_offset" : 26, "type" : "CN_WORD", "position" : 8 }, { "token" : "共和", "start_offset" : 23, "end_offset" : 25, "type" : "CN_WORD", "position" : 9 }, { "token" : "国", "start_offset" : 25, "end_offset" : 26, "type" : "CN_CHAR", "position" : 10 }, { "token" : "国歌", "start_offset" : 26, "end_offset" : 28, "type" : "CN_WORD", "position" : 11 } ] }
