来源：https://github.com/medcl/elasticsearch-analysis-pinyin
Pinyin Analysis for Elasticsearch
This Pinyin Analysis plugin is used to do conversion between Chinese characters and Pinyin, integrates NLP tools (https://github.com/NLPchina/nlp-lang).
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| Pinyin Analysis Plugin | Elasticsearch |
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| master | 5.x -> master |
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| 5.5.1 | 5.5.1 |
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| 5.3.3 | 5.3.3 |
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| 5.2.2 | 5.2.2 |
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| 5.1.2 | 5.1.2 |
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| 1.8.1 | 2.4.1 |
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| 1.7.5 | 2.3.5 |
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| 1.6.1 | 2.2.1 |
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| 1.5.0 | 2.1.0 |
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| 1.4.0 | 2.0.x |
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| 1.3.0 | 1.6.x |
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| 1.2.2 | 1.0.x |
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The plugin includes analyzer: pinyin , tokenizer: pinyin and token-filter: pinyin.
** Optional Parameters **
-
keep_first_letterwhen this option enabled, eg:刘德华>ldh, default: true -
keep_separate_first_letterwhen this option enabled, will keep first letters separately, eg:刘德华>l,d,h, default: false, NOTE: query result maybe too fuzziness due to term too frequency -
limit_first_letter_lengthset max length of the first_letter result, default: 16 -
keep_full_pinyinwhen this option enabled, eg:刘德华> [liu,de,hua], default: true -
keep_joined_full_pinyinwhen this option enabled, eg:刘德华> [liudehua], default: false -
keep_none_chinesekeep non chinese letter or number in result, default: true -
keep_none_chinese_togetherkeep non chinese letter together, default: true, eg:DJ音乐家->DJ,yin,yue,jia, when set tofalse, eg:DJ音乐家->D,J,yin,yue,jia, NOTE:keep_none_chineseshould be enabled first -
keep_none_chinese_in_first_letterkeep non Chinese letters in first letter, eg:刘德华AT2016->ldhat2016, default: true -
keep_none_chinese_in_joined_full_pinyinkeep non Chinese letters in joined full pinyin, eg:刘德华2016->liudehua2016, default: false -
none_chinese_pinyin_tokenizebreak non chinese letters into separate pinyin term if they are pinyin, default: true, eg:liudehuaalibaba13zhuanghan->liu,de,hua,a,li,ba,ba,13,zhuang,han, NOTE:keep_none_chineseandkeep_none_chinese_togethershould be enabled first -
keep_originalwhen this option enabled, will keep original input as well, default: false -
lowercaselowercase non Chinese letters, default: true -
trim_whitespacedefault: true -
remove_duplicated_termwhen this option enabled, duplicated term will be removed to save index, eg:de的>de, default: false, NOTE: position related query maybe influenced
1.Create a index with custom pinyin analyzer
curl -XPUT http://localhost:9200/medcl/ -d'
{
"index" : {
"analysis" : {
"analyzer" : {
"pinyin_analyzer" : {
"tokenizer" : "my_pinyin"
}
},
"tokenizer" : {
"my_pinyin" : {
"type" : "pinyin",
"keep_separate_first_letter" : false,
"keep_full_pinyin" : true,
"keep_original" : true,
"limit_first_letter_length" : 16,
"lowercase" : true,
"remove_duplicated_term" : true
}
}
}
}
}'
2.Test Analyzer, analyzing a chinese name, such as 刘德华
http://localhost:9200/medcl/_analyze?text=%e5%88%98%e5%be%b7%e5%8d%8e&analyzer=pinyin_analyzer
{
"tokens" : [
{
"token" : "liu",
"start_offset" : 0,
"end_offset" : 1,
"type" : "word",
"position" : 0
},
{
"token" : "de",
"start_offset" : 1,
"end_offset" : 2,
"type" : "word",
"position" : 1
},
{
"token" : "hua",
"start_offset" : 2,
"end_offset" : 3,
"type" : "word",
"position" : 2
},
{
"token" : "刘德华",
"start_offset" : 0,
"end_offset" : 3,
"type" : "word",
"position" : 3
},
{
"token" : "ldh",
"start_offset" : 0,
"end_offset" : 3,
"type" : "word",
"position" : 4
}
]
}
3.Create mapping
curl -XPOST http://localhost:9200/medcl/folks/_mapping -d'
{
"folks": {
"properties": {
"name": {
"type": "keyword",
"fields": {
"pinyin": {
"type": "text",
"store": "no",
"term_vector": "with_offsets",
"analyzer": "pinyin_analyzer",
"boost": 10
}
}
}
}
}
}'
4.Indexing
curl -XPOST http://localhost:9200/medcl/folks/andy -d'{"name":"刘德华"}'
5.Let's search
http://localhost:9200/medcl/folks/_search?q=name:%E5%88%98%E5%BE%B7%E5%8D%8E
curl http://localhost:9200/medcl/folks/_search?q=name.pinyin:%e5%88%98%e5%be%b7
curl http://localhost:9200/medcl/folks/_search?q=name.pinyin:liu
curl http://localhost:9200/medcl/folks/_search?q=name.pinyin:ldh
curl http://localhost:9200/medcl/folks/_search?q=name.pinyin:de+hua
6.Using Pinyin-TokenFilter
curl -XPUT http://localhost:9200/medcl1/ -d'
{
"index" : {
"analysis" : {
"analyzer" : {
"user_name_analyzer" : {
"tokenizer" : "whitespace",
"filter" : "pinyin_first_letter_and_full_pinyin_filter"
}
},
"filter" : {
"pinyin_first_letter_and_full_pinyin_filter" : {
"type" : "pinyin",
"keep_first_letter" : true,
"keep_full_pinyin" : false,
"keep_none_chinese" : true,
"keep_original" : false,
"limit_first_letter_length" : 16,
"lowercase" : true,
"trim_whitespace" : true,
"keep_none_chinese_in_first_letter" : true
}
}
}
}
}'
Token Test:刘德华 张学友 郭富城 黎明 四大天王
curl -XGET http://localhost:9200/medcl1/_analyze?text=%e5%88%98%e5%be%b7%e5%8d%8e+%e5%bc%a0%e5%ad%a6%e5%8f%8b+%e9%83%ad%e5%af%8c%e5%9f%8e+%e9%bb%8e%e6%98%8e+%e5%9b%9b%e5%a4%a7%e5%a4%a9%e7%8e%8b&analyzer=user_name_analyzer
{
"tokens" : [
{
"token" : "ldh",
"start_offset" : 0,
"end_offset" : 3,
"type" : "word",
"position" : 0
},
{
"token" : "zxy",
"start_offset" : 4,
"end_offset" : 7,
"type" : "word",
"position" : 1
},
{
"token" : "gfc",
"start_offset" : 8,
"end_offset" : 11,
"type" : "word",
"position" : 2
},
{
"token" : "lm",
"start_offset" : 12,
"end_offset" : 14,
"type" : "word",
"position" : 3
},
{
"token" : "sdtw",
"start_offset" : 15,
"end_offset" : 19,
"type" : "word",
"position" : 4
}
]
}
7.Used in phrase query
-
option 1
PUT /medcl/
{
"index" : {
"analysis" : {
"analyzer" : {
"pinyin_analyzer" : {
"tokenizer" : "my_pinyin"
}
},
"tokenizer" : {
"my_pinyin" : {
"type" : "pinyin",
"keep_first_letter":false,
"keep_separate_first_letter" : false,
"keep_full_pinyin" : true,
"keep_original" : false,
"limit_first_letter_length" : 16,
"lowercase" : true
}
}
}
}
}
GET /medcl/folks/_search
{
"query": {"match_phrase": {
"name.pinyin": "刘德华"
}}
} -
option 2
PUT /medcl/
{
"index" : {
"analysis" : {
"analyzer" : {
"pinyin_analyzer" : {
"tokenizer" : "my_pinyin"
}
},
"tokenizer" : {
"my_pinyin" : {
"type" : "pinyin",
"keep_first_letter":false,
"keep_separate_first_letter" : true,
"keep_full_pinyin" : false,
"keep_original" : false,
"limit_first_letter_length" : 16,
"lowercase" : true
}
}
}
}
} POST /medcl/folks/andy
{"name":"刘德华"} GET /medcl/folks/_search
{
"query": {"match_phrase": {
"name.pinyin": "刘德h"
}}
} GET /medcl/folks/_search
{
"query": {"match_phrase": {
"name.pinyin": "刘dh"
}}
} GET /medcl/folks/_search
{
"query": {"match_phrase": {
"name.pinyin": "dh"
}}
}
8.That's all, have fun.