PUT /pinyin2
{
"settings" : {
"analysis" : {
"analyzer" : {
"first_py_letter_analyzer" : {
"tokenizer" : "first_py_letter"
},
"full_pinyin_letter_analyzer" : {
"tokenizer" : "full_pinyin_letter"
}
},
"tokenizer" : {
"first_py_letter" : {
"type" : "pinyin",
"keep_first_letter" : true,
"keep_full_pinyin" : false,
"keep_original" : false,
"limit_first_letter_length" : 16,
"lowercase" : true,
"trim_whitespace" : true,
"keep_none_chinese_in_first_letter": false,
"none_chinese_pinyin_tokenize": false,
"keep_none_chinese": true,
"keep_none_chinese_in_joined_full_pinyin": true
},
"full_pinyin_letter" : {
"type": "pinyin",
"keep_separate_first_letter": false,
"keep_full_pinyin": false,
"keep_original": false,
"limit_first_letter_length": 16,
"lowercase": true,
"keep_first_letter": false,
"keep_none_chinese_in_first_letter": false,
"none_chinese_pinyin_tokenize": false,
"keep_none_chinese": true,
"keep_joined_full_pinyin": true,
"keep_none_chinese_in_joined_full_pinyin": true
}
}
},
"number_of_shards": 1,
"number_of_replicas": 1
},
"mappings":{
"properties": {
"keyword": {
"properties": {
"keyword_ik": {
"type": "text",
"analyzer": "ik_max_word"
},
"keyword_pinyin": {
"type": "text",
"analyzer": "full_pinyin_letter_analyzer"
},
"keyword_first_py": {
"type": "text",
"analyzer": "first_py_letter_analyzer"
}
}
},
"weight": {
"type": "integer"
}
}
}
}
POST /pinyin2/_doc
{
"keyword": {
"keyword_ik": "中国人",
"keyword_pinyin": "中国人",
"keyword_first_py": "中国人"
},
"weight": 2
}
POST /pinyin2/_analyze
{
"text": ["你好"],
"analyzer": "first_py_letter_analyzer"
}
POST /pinyin2/_analyze
{
"text": ["你好"],
"analyzer": "full_pinyin_letter_analyzer"
}
POST /pinyin2/_analyze
{
"text": ["中国人"],
"analyzer": "ik_max_word"
}
GET /pinyin2/_search
{
"sort": [
{
"weight": "desc"
},
{
"_score": "desc"
}
],
"query": {
"bool": {
"must": {
"bool": {
"should": [
{
"match_phrase_prefix": {
"keyword.keyword_ik": {
"query": "中国",
"boost": 2
}
}
},
{
"match_phrase_prefix": {
"keyword.keyword_pinyin": {
"query": "中国",
"boost": 2
}
}
},
{
"match_phrase_prefix": {
"keyword.keyword_first_py": {
"query": "中国",
"boost": 1
}
}
}
]
}
}
}
}
}
修改自 https://github.com/medcl/elasticsearch-analysis-pinyin/issues/91
也可以使用suggester的前缀匹配来做 这种方案比较灵活