elasticsearch-analysis-pinyin

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_letter when this option enabled, eg: 刘德华>ldh, default: true
• keep_separate_first_letter when 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_length set max length of the first_letter result, default: 16
• keep_full_pinyin when this option enabled, eg: 刘德华> [liu,de,hua], default: true
• keep_joined_full_pinyin when this option enabled, eg: 刘德华> [liudehua], default: false
• keep_none_chinese keep non chinese letter or number in result, default: true
• keep_none_chinese_together keep non chinese letter together, default: true, eg: DJ音乐家 -> DJ,yin,yue,jia, when set to false, eg: DJ音乐家 -> D,J,yin,yue,jia, NOTE: keep_none_chinese should be enabled first
• keep_none_chinese_in_first_letter keep non Chinese letters in first letter, eg: 刘德华AT2016->ldhat2016, default: true
• keep_none_chinese_in_joined_full_pinyin keep non Chinese letters in joined full pinyin, eg: 刘德华2016->liudehua2016, default: false
• none_chinese_pinyin_tokenize break 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_chinese and keep_none_chinese_together should be enabled first
• keep_original when this option enabled, will keep original input as well, default: false
• lowercase lowercase non Chinese letters, default: true
• trim_whitespace default: true
• remove_duplicated_term when 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.