elasticsearch 拼音检索能力研究
gitchennan/elasticsearch-analysis-lc-pinyin
配置参数少，功能满足需求。
对应版本
elasticsearch2.3.2 对应 elasticsearch-analysis-lc-pinyin 分支 2.4.2.1 或者 tag 2.2.2.1
创建一个类型
elasticsearch-analysis-lc-pinyin 的 README 是根据 elasticsearch5.0 编写的，给出的创建一个类型的语法如下
curl -XPOST http://localhost:9200/index/_mapping/brand -d'
{
"brand": {
"properties": {
"name": {
"type": "text",
"analyzer": "lc_index",
"search_analyzer": "lc_search",
"term_vector": "with_positions_offsets"
}
}
}
}'
type=text 是 elasticsearch5.0 之后的类型，所以无法创建成功，稍作修改 type=text，使用如下语法创建一个类型
curl -XPOST http://localhost:9200/index/_mapping/brand -d'
{
"brand": {
"properties": {
"name": {
"type": "string",
"analyzer": "lc_index",
"search_analyzer": "lc_search",
"term_vector": "with_positions_offsets"
}
}
}
}'
index 索引结构如下
{
"index": {
"aliases": {},
"mappings": {
"brand": {
"properties": {
"name": {
"type": "string",
"term_vector": "with_positions_offsets",
"analyzer": "lc_index",
"search_analyzer": "lc_search"
}
}
}
},
"settings": {
"index": {
"creation_date": "1490152096129",
"number_of_shards": "5",
"number_of_replicas": "1",
"uuid": "Lp1sSHGhQZyZ57LKO5KwRQ",
"version": {
"created": "2030299"
}
}
},
"warmers": {}
}
}
存入几条数据
curl -XPOST http://localhost:9200/index/brand/1 -d'{"name":"百度"}'
curl -XPOST http://localhost:9200/index/brand/8 -d'{"name":"百度糯米"}'
curl -XPOST http://localhost:9200/index/brand/2 -d'{"name":"阿里巴巴"}'
curl -XPOST http://localhost:9200/index/brand/3 -d'{"name":"腾讯科技"}'
curl -XPOST http://localhost:9200/index/brand/4 -d'{"name":"网易游戏"}'
curl -XPOST http://localhost:9200/index/brand/9 -d'{"name":"大众点评"}'
curl -XPOST http://localhost:9200/index/brand/10 -d'{"name":"携程旅行网"}'
查出目前的所有数据
http://localhost:9200/index/_search
{
"took": 70,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 7,
"max_score": 1,
"hits": [
{
"_index": "index",
"_type": "brand",
"_id": "8",
"_score": 1,
"_source": {
"name": "百度糯米"
}
},
{
"_index": "index",
"_type": "brand",
"_id": "9",
"_score": 1,
"_source": {
"name": "大众点评"
}
},
{
"_index": "index",
"_type": "brand",
"_id": "10",
"_score": 1,
"_source": {
"name": "携程旅行网"
}
},
{
"_index": "index",
"_type": "brand",
"_id": "2",
"_score": 1,
"_source": {
"name": "阿里巴巴"
}
},
{
"_index": "index",
"_type": "brand",
"_id": "4",
"_score": 1,
"_source": {
"name": "网易游戏"
}
},
{
"_index": "index",
"_type": "brand",
"_id": "1",
"_score": 1,
"_source": {
"name": "百度"
}
},
{
"_index": "index",
"_type": "brand",
"_id": "3",
"_score": 1,
"_source": {
"name": "腾讯科技"
}
}
]
}
}
插件自带分词器 lc_index
原文：lc_index : 该分词器用于索引数据时指定，将中文转换为全拼和首字，同时保留中文
分词器分词效果
curl -X POST -d '{
"analyzer" : "lc_index",
"text" : ["刘德华"]
}' "http://localhost:9200/lc/_analyze"
{
"tokens": [
{
"token": "刘",
"start_offset": 0,
"end_offset": 1,
"type": "word",
"position": 0
},
{
"token": "liu",
"start_offset": 0,
"end_offset": 1,
"type": "word",
"position": 0
},
{
"token": "l",
"start_offset": 0,
"end_offset": 1,
"type": "word",
"position": 0
},
{
"token": "德",
"start_offset": 1,
"end_offset": 2,
"type": "word",
"position": 1
},
{
"token": "de",
"start_offset": 1,
"end_offset": 2,
"type": "word",
"position": 1
},
{
"token": "d",
"start_offset": 1,
"end_offset": 2,
"type": "word",
"position": 1
},
{
"token": "华",
"start_offset": 2,
"end_offset": 3,
"type": "word",
"position": 2
},
{
"token": "hua",
"start_offset": 2,
"end_offset": 3,
"type": "word",
"position": 2
},
{
"token": "h",
"start_offset": 2,
"end_offset": 3,
"type": "word",
"position": 2
}
]
}
插件自带分词器 lc_search
原文：lc_search: 该分词器用于拼音搜索时指定，按最小拼音分词个数拆分拼音，优先拆分全拼
curl -X POST -d '{
"analyzer" : "lc_search",
"text" : ["刘德华"]
}' "http://localhost:9200/index/_analyze"
{
"tokens": [
{
"token": "刘",
"start_offset": 0,
"end_offset": 1,
"type": "word",
"position": 0
},
{
"token": "德",
"start_offset": 1,
"end_offset": 2,
"type": "word",
"position": 1
},
{
"token": "华",
"start_offset": 2,
"end_offset": 3,
"type": "word",
"position": 2
}
]
}
拼音全拼
搜索 baidu，结果正确
curl -X POST -d '{
"query": {
"match": {
"name": {
"query": "baidu",
"analyzer": "lc_search",
"type": "phrase"
}
}
},
"highlight" : {
"pre_tags" : ["<tag1>"],
"post_tags" : ["</tag1>"],
"fields" : {
"name" : {}
}
}
}' "http://localhost:9200/index/brand/_search"
{
"took": 4,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 1.4054651,
"hits": [
{
"_index": "index",
"_type": "brand",
"_id": "8",
"_score": 1.4054651,
"_source": {
"name": "百度糯米"
},
"highlight": {
"name": [
"<tag1>百度</tag1>糯米"
]
}
},
{
"_index": "index",
"_type": "brand",
"_id": "1",
"_score": 0.38356602,
"_source": {
"name": "百度"
},
"highlight": {
"name": [
"<tag1>百度</tag1>"
]
}
}
]
}
}
单字拼音全拼与中文混合
搜索 xie程lu行，结果正确
{
"took": 11,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 2.459564,
"hits": [
{
"_index": "index",
"_type": "brand",
"_id": "10",
"_score": 2.459564,
"_source": {
"name": "携程旅行网"
},
"highlight": {
"name": [
"<tag1>携程旅行</tag1>网"
]
}
}
]
}
}
单字拼音首字母与中文混合
搜索 携cl行，结果正确
curl -X POST -d '{
"query": {
"match": {
"name": {
"query": "携cl行",
"analyzer": "lc_search",
"type": "phrase"
}
}
},
"highlight" : {
"pre_tags" : ["<tag1>"],
"post_tags" : ["</tag1>"],
"fields" : {
"name" : {}
}
}
}' "http://localhost:9200/index/brand/_search"
{
"took": 6,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 2.459564,
"hits": [
{
"_index": "index",
"_type": "brand",
"_id": "10",
"_score": 2.459564,
"_source": {
"name": "携程旅行网"
},
"highlight": {
"name": [
"<tag1>携程旅行</tag1>网"
]
}
}
]
}
}
拼音首字母
搜索 albb，结果正确
curl -X POST -d '{
"query": {
"match": {
"name": {
"query": "albb",
"analyzer": "lc_search",
"type": "phrase"
}
}
},
"highlight" : {
"pre_tags" : ["<tag1>"],
"post_tags" : ["</tag1>"],
"fields" : {
"name" : {}
}
}
}' "http://localhost:9200/index/brand/_search"
{
"took": 4,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 2.828427,
"hits": [
{
"_index": "index",
"_type": "brand",
"_id": "2",
"_score": 2.828427,
"_source": {
"name": "阿里巴巴"
},
"highlight": {
"name": [
"<tag1>阿里巴巴</tag1>"
]
}
}
]
}
}
结论
elasticsearch-analysis-lc-pinyin 按照全拼、首字母，拼音中文混合搜索
elasticsearch-analysis-pinyin v1.7.2
github 项目 elasticsearch-analysis-pinyin v1.7.2 完全是为 elasticsearch 2.3.2 服务
first_letter 改变
first_letter=prefix padding_char=" "
curl -X POST -d '{
"mappings": {
"folk": {
"properties": {
"text": {
"type": "string",
"analyzer": "pinyin_analyzer"
}
}
}
},
"settings": {
"index" : {
"analysis" : {
"analyzer" : {
"pinyin_analyzer" : {
"tokenizer" : "my_pinyin",
"filter" : ["word_delimiter"]
}
},
"tokenizer" : {
"my_pinyin" : {
"type" : "pinyin",
"first_letter" : "prefix",
"padding_char" : " "
}
}
}
}
}
}' "http://localhost:9200/medcl"
拼音效果如下
curl -X POST -d '{
"analyzer" : "pinyin_analyzer",
"text" : ["刘德华"]
}' "http://localhost:9200/medcl/_analyze"
{
"tokens": [
{
"token": "ldh",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 0
},
{
"token": "liu",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 1
},
{
"token": "de",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 2
},
{
"token": "hua",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 3
}
]
}
first_letter=append padding_char=" "
curl -X POST -d '{
"mappings": {
"folk": {
"properties": {
"text": {
"type": "string",
"analyzer": "pinyin_analyzer"
}
}
}
},
"settings": {
"index" : {
"analysis" : {
"analyzer" : {
"pinyin_analyzer" : {
"tokenizer" : "my_pinyin",
"filter" : ["word_delimiter"]
}
},
"tokenizer" : {
"my_pinyin" : {
"type" : "pinyin",
"first_letter" : "append",
"padding_char" : " "
}
}
}
}
}
}' "http://localhost:9200/medcl2"
拼音效果如下
curl -X POST -d '{
"analyzer" : "pinyin_analyzer",
"text" : ["刘德华"]
}' "http://localhost:9200/medcl2/_analyze"
{
"tokens": [
{
"token": "liu",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 0
},
{
"token": "de",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 1
},
{
"token": "hua",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 2
},
{
"token": "ldh",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 3
}
]
}
first_letter=only padding_char=" "
curl -X POST -d '{
"mappings": {
"folk": {
"properties": {
"text": {
"type": "string",
"analyzer": "pinyin_analyzer"
}
}
}
},
"settings": {
"index" : {
"analysis" : {
"analyzer" : {
"pinyin_analyzer" : {
"tokenizer" : "my_pinyin",
"filter" : ["word_delimiter"]
}
},
"tokenizer" : {
"my_pinyin" : {
"type" : "pinyin",
"first_letter" : "only",
"padding_char" : " "
}
}
}
}
}
}' "http://localhost:9200/medcl3"
拼音效果如下
curl -X POST -H "Cache-Control: no-cache" -H "Postman-Token: 67015c0d-cd07-961b-4c46-da90f7d558d8" -d '{
"analyzer" : "pinyin_analyzer",
"text" : ["刘德华"]
}' "http://localhost:9200/medcl3/_analyze"
{
"tokens": [
{
"token": "ldh",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 0
}
]
}
first_letter=none padding_char=" "
curl -X POST -d '{
"mappings": {
"folk": {
"properties": {
"text": {
"type": "string",
"analyzer": "pinyin_analyzer"
}
}
}
},
"settings": {
"index" : {
"analysis" : {
"analyzer" : {
"pinyin_analyzer" : {
"tokenizer" : "my_pinyin",
"filter" : ["word_delimiter"]
}
},
"tokenizer" : {
"my_pinyin" : {
"type" : "pinyin",
"first_letter" : "none",
"padding_char" : " "
}
}
}
}
}
}' "http://localhost:9200/medcl4"
拼音效果如下
curl -X POST -d '{
"analyzer" : "pinyin_analyzer",
"text" : ["刘德华"]
}' "http://localhost:9200/medcl4/_analyze"
{
"tokens": [
{
"token": "liu",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 0
},
{
"token": "de",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 1
},
{
"token": "hua",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 2
}
]
}
padding_char 改变
first_letter=prefix padding_char=""
curl -X POST -d '{
"mappings": {
"folk": {
"properties": {
"text": {
"type": "string",
"analyzer": "pinyin_analyzer"
}
}
}
},
"settings": {
"index" : {
"analysis" : {
"analyzer" : {
"pinyin_analyzer" : {
"tokenizer" : "my_pinyin",
"filter" : ["word_delimiter"]
}
},
"tokenizer" : {
"my_pinyin" : {
"type" : "pinyin",
"first_letter" : "prefix",
"padding_char" : ""
}
}
}
}
}
}' "http://localhost:9200/medcl5"
拼音效果如下
curl -X POST -d '{
"analyzer" : "pinyin_analyzer",
"text" : ["刘德华"]
}' "http://localhost:9200/medcl5/_analyze"
{
"tokens": [
{
"token": "ldhliudehua",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 0
}
]
}
first_letter=append padding_char=""
curl -X PUT -d '{
"mappings": {
"folk": {
"properties": {
"text": {
"type": "string",
"analyzer": "pinyin_analyzer"
}
}
}
},
"settings": {
"index" : {
"analysis" : {
"analyzer" : {
"pinyin_analyzer" : {
"tokenizer" : "my_pinyin",
"filter" : ["word_delimiter"]
}
},
"tokenizer" : {
"my_pinyin" : {
"type" : "pinyin",
"first_letter" : "append",
"padding_char" : ""
}
}
}
}
}
}' "http://localhost:9200/medcl7"
拼音效果如下
curl -X POST -d '{
"analyzer" : "pinyin_analyzer",
"text" : ["刘德华"]
}' "http://localhost:9200/medcl7/_analyze"
{
"tokens": [
{
"token": "liudehualdh",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 0
}
]
}
first_letter=only padding_char=""
curl -X PUT -d '{
"mappings": {
"folk": {
"properties": {
"text": {
"type": "string",
"analyzer": "pinyin_analyzer"
}
}
}
},
"settings": {
"index" : {
"analysis" : {
"analyzer" : {
"pinyin_analyzer" : {
"tokenizer" : "my_pinyin",
"filter" : ["word_delimiter"]
}
},
"tokenizer" : {
"my_pinyin" : {
"type" : "pinyin",
"first_letter" : "only",
"padding_char" : ""
}
}
}
}
}
}' "http://localhost:9200/medcl8"
拼音效果如下
curl -X POST -d '{
"analyzer" : "pinyin_analyzer",
"text" : ["刘德华"]
}' "http://localhost:9200/medcl8/_analyze"
{
"tokens": [
{
"token": "ldh",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 0
}
]
}
first_letter=none padding_char=""
curl -X PUT -d '{
"mappings": {
"folk": {
"properties": {
"text": {
"type": "string",
"analyzer": "pinyin_analyzer"
}
}
}
},
"settings": {
"index" : {
"analysis" : {
"analyzer" : {
"pinyin_analyzer" : {
"tokenizer" : "my_pinyin",
"filter" : ["word_delimiter"]
}
},
"tokenizer" : {
"my_pinyin" : {
"type" : "pinyin",
"first_letter" : "none",
"padding_char" : ""
}
}
}
}
}
}' "http://localhost:9200/medcl9"
拼音效果如下
curl -X POST -d '{
"analyzer" : "pinyin_analyzer",
"text" : ["刘德华"]
}' "http://localhost:9200/medcl9/_analyze"
{
"tokens": [
{
"token": "liudehua",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 0
}
]
}
结论
elasticsearch 2.3.2对应elasticsearch-analysis-pinyin 1.7.2，pinyin 1.7.2可配置参数有：first_letter和padding_char。padding_char的作用是将字符串按照什么字符分隔，比如padding_char = " "，那么刘德华将先被分隔为刘，德，华；如果padding_char = ""，那么刘德华将不会被分隔first_letter取值：prefix，append，only，none。padding_char与first_letter的组合会影响拼音输出的结果
elasticsearch-analysis-pinyin 2.x 分支
github 项目 elasticsearch-analysis-pinyin 2.x 分支 是为 elasticsearch 2.x 服务，经过测试 elasticsearch 2.3.2 也可以使用该插件。
官方文档中的说明
- 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
- 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
- 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
基准配置
基准配置参数
"keep_joined_full_pinyin": "false",
"lowercase": "true",
"keep_original": "false",
"keep_none_chinese_together": "true",
"remove_duplicated_term": "false",
"keep_first_letter": "true",
"keep_separate_first_letter": "false",
"trim_whitespace": "true",
"keep_none_chinese": "true",
"limit_first_letter_length": "16",
"keep_full_pinyin": "true"
创建索引与分词器
curl -X POST -d '{
"mappings": {
"folk": {
"properties": {
"text": {
"type": "string",
"analyzer": "pinyin_analyzer"
}
}
}
},
"settings": {
"index" : {
"analysis" : {
"analyzer" : {
"pinyin_analyzer" : {
"tokenizer" : "my_pinyin"
}
},
"tokenizer" : {
"my_pinyin" : {
"type" : "pinyin",
"remove_duplicated_term" : false,
"keep_joined_full_pinyin" : false,
"keep_separate_first_letter" : false,
"keep_first_letter" : true,
"limit_first_letter_length" : 16,
"keep_full_pinyin" : true,
"keep_original" : true,
"keep_none_chinese" : true,
"keep_none_chinese_together" : true,
"lowercase" : true,
"trim_whitespace" : true
}
}
}
}
}
}' "http://localhost:9200/medcl20"
生成索引结构
curl -X GET "http://localhost:9200/medcl20"
{
"medcl20": {
"aliases": {},
"mappings": {
"folk": {
"properties": {
"text": {
"type": "string",
"analyzer": "pinyin_analyzer"
}
}
}
},
"settings": {
"index": {
"creation_date": "1490170676090",
"analysis": {
"analyzer": {
"pinyin_analyzer": {
"tokenizer": "my_pinyin"
}
},
"tokenizer": {
"my_pinyin": {
"keep_joined_full_pinyin": "false",
"lowercase": "true",
"keep_original": "true",
"keep_none_chinese_together": "true",
"remove_duplicated_term": "false",
"keep_first_letter": "true",
"keep_separate_first_letter": "false",
"trim_whitespace": "true",
"type": "pinyin",
"keep_none_chinese": "true",
"limit_first_letter_length": "16",
"keep_full_pinyin": "true"
}
}
},
"number_of_shards": "5",
"number_of_replicas": "1",
"uuid": "31Y9PizQQ2KQn_Fl6bpPNw",
"version": {
"created": "2030299"
}
}
},
"warmers": {}
}
}
分词器分词效果
curl -X POST -d '{
"analyzer" : "pinyin_analyzer",
"text" : ["刘德华"]
}' "http://localhost:9200/medcl20/_analyze"
{
"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
}
]
}
keep_original
keep_original = true
curl -X POST -d '{
"analyzer" : "pinyin_analyzer",
"text" : ["刘德华"]
}' "http://localhost:9200/medcl20/_analyze"
{
"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
}
]
}
keep_original = false
curl -X POST -d '{
"analyzer" : "pinyin_analyzer",
"text" : ["刘德华"]
}' "http://localhost:9200/medcl20/_analyze"
{
"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": "ldh",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 3
}
]
}
keep_original 功能
keep_original=true 将保留原字符串，比如存入索引的数据为 刘德华 那么 刘德华 将也会被保存到索引中。keep_original=false 则不保存原字符串到索引
trim_whitespace
trim_whitespace=true
curl -X POST -d '{
"analyzer" : "pinyin_analyzer",
"text" : [" 最爱 刘德华 的帅气帅气的 "]
}' "http://localhost:9200/medcl20/_analyze"
{
"tokens": [
{
"token": "zui",
"start_offset": 3,
"end_offset": 4,
"type": "word",
"position": 0
},
{
"token": "ai",
"start_offset": 4,
"end_offset": 5,
"type": "word",
"position": 1
},
{
"token": "liu",
"start_offset": 8,
"end_offset": 9,
"type": "word",
"position": 2
},
{
"token": "de",
"start_offset": 9,
"end_offset": 10,
"type": "word",
"position": 3
},
{
"token": "hua",
"start_offset": 10,
"end_offset": 11,
"type": "word",
"position": 4
},
{
"token": "de",
"start_offset": 14,
"end_offset": 15,
"type": "word",
"position": 5
},
{
"token": "shuai",
"start_offset": 15,
"end_offset": 16,
"type": "word",
"position": 6
},
{
"token": "qi",
"start_offset": 16,
"end_offset": 17,
"type": "word",
"position": 7
},
{
"token": "shuai",
"start_offset": 17,
"end_offset": 18,
"type": "word",
"position": 8
},
{
"token": "qi",
"start_offset": 18,
"end_offset": 19,
"type": "word",
"position": 9
},
{
"token": "de",
"start_offset": 19,
"end_offset": 20,
"type": "word",
"position": 10
},
{
"token": "最爱 刘德华 的帅气帅气的",
"start_offset": 0,
"end_offset": 23,
"type": "word",
"position": 11
},
{
"token": "zaldhdsqsqd",
"start_offset": 0,
"end_offset": 11,
"type": "word",
"position": 12
}
]
}
trim_whitespace=false
curl -X POST -d '{
"analyzer" : "pinyin_analyzer",
"text" : [" 最爱 刘德华 的帅气帅气的 "]
}' "http://localhost:9200/medcl20/_analyze"
{
"tokens": [
{
"token": "zui",
"start_offset": 3,
"end_offset": 4,
"type": "word",
"position": 0
},
{
"token": "ai",
"start_offset": 4,
"end_offset": 5,
"type": "word",
"position": 1
},
{
"token": "liu",
"start_offset": 8,
"end_offset": 9,
"type": "word",
"position": 2
},
{
"token": "de",
"start_offset": 9,
"end_offset": 10,
"type": "word",
"position": 3
},
{
"token": "hua",
"start_offset": 10,
"end_offset": 11,
"type": "word",
"position": 4
},
{
"token": "de",
"start_offset": 14,
"end_offset": 15,
"type": "word",
"position": 5
},
{
"token": "shuai",
"start_offset": 15,
"end_offset": 16,
"type": "word",
"position": 6
},
{
"token": "qi",
"start_offset": 16,
"end_offset": 17,
"type": "word",
"position": 7
},
{
"token": "shuai",
"start_offset": 17,
"end_offset": 18,
"type": "word",
"position": 8
},
{
"token": "qi",
"start_offset": 18,
"end_offset": 19,
"type": "word",
"position": 9
},
{
"token": "de",
"start_offset": 19,
"end_offset": 20,
"type": "word",
"position": 10
},
{
"token": " 最爱 刘德华 的帅气帅气的 ",
"start_offset": 0,
"end_offset": 23,
"type": "word",
"position": 11
},
{
"token": "zaldhdsqsqd",
"start_offset": 0,
"end_offset": 11,
"type": "word",
"position": 12
}
]
}
trim_whitespace 功能
去除字符串首尾空格字符，不去除字符串中间的空格。这个参数只有当 keep_original=true 时才能够看到效果。 例如当字符串为： 最爱 刘德华 的帅气帅气的 ，trim_whitespace=true 则原字符串将被保存为 最爱 刘德华 的帅气帅气的，如果 trim_whitespace=false 则原字符串将被保存为 最爱 刘德华 的帅气帅气的 。如果 keep_original=false，那么原字符串没有被保存，也将看不到效果。
keep_joined_full_pinyin
keep_joined_full_pinyin = false
curl -X POST -d '{
"analyzer" : "pinyin_analyzer",
"text" : ["刘德华"]
}' "http://localhost:9200/medcl21/_analyze"
{
"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
}
]
}
keep_joined_full_pinyin = true
curl -X POST -d '{
"analyzer" : "pinyin_analyzer",
"text" : ["刘德华"]
}' "http://localhost:9200/medcl22/_analyze"
{
"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": "liudehua",
"start_offset": 0,
"end_offset": 8,
"type": "word",
"position": 4
},
{
"token": "ldh",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 5
}
]
}
keep_joined_full_pinyin 功能
keep_joined_full_pinyin=true 将保存字符串拼音全拼，false 则不保存。例如，当 kepp_joined_full_pinyin=true 时，文本 刘德华 的拼音全拼 liudehua 将会被保留；当 keep_joined_full_pinyin=false 则 全拼liudehua
remove_duplicated_term
remove_duplicated_term = false
curl -X POST -d '{
"analyzer" : "pinyin_analyzer",
"text" : ["刘德华刘德华帅帅帅，帅帅帅"]
}' "http://localhost:9200/medcl20/_analyze"
{
"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": "liu",
"start_offset": 3,
"end_offset": 4,
"type": "word",
"position": 3
},
{
"token": "de",
"start_offset": 4,
"end_offset": 5,
"type": "word",
"position": 4
},
{
"token": "hua",
"start_offset": 5,
"end_offset": 6,
"type": "word",
"position": 5
},
{
"token": "shuai",
"start_offset": 6,
"end_offset": 7,
"type": "word",
"position": 6
},
{
"token": "shuai",
"start_offset": 7,
"end_offset": 8,
"type": "word",
"position": 7
},
{
"token": "shuai",
"start_offset": 8,
"end_offset": 9,
"type": "word",
"position": 8
},
{
"token": "shuai",
"start_offset": 10,
"end_offset": 11,
"type": "word",
"position": 9
},
{
"token": "shuai",
"start_offset": 11,
"end_offset": 12,
"type": "word",
"position": 10
},
{
"token": "shuai",
"start_offset": 12,
"end_offset": 13,
"type": "word",
"position": 11
},
{
"token": "刘德华刘德华帅帅帅，帅帅帅",
"start_offset": 0,
"end_offset": 13,
"type": "word",
"position": 12
},
{
"token": "ldhldhssssss",
"start_offset": 0,
"end_offset": 12,
"type": "word",
"position": 13
}
]
}
remove_duplicated_term = true
curl -X POST -d '{
"analyzer" : "pinyin_analyzer",
"text" : ["刘德华刘德华帅帅帅，帅帅帅"]
}' "http://localhost:9200/medcl26/_analyze"
{
"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": "shuai",
"start_offset": 6,
"end_offset": 7,
"type": "word",
"position": 3
},
{
"token": "刘德华刘德华帅帅帅，帅帅帅",
"start_offset": 0,
"end_offset": 13,
"type": "word",
"position": 4
},
{
"token": "ldhldhssssss",
"start_offset": 0,
"end_offset": 12,
"type": "word",
"position": 5
}
]
}
remove_duplicated_term 功能
remove_duplicated_term=true 则会将文本中相同的拼音只保存一份，比如 刘德华刘德华 只会保留一份拼音 liu，de，hua；相对的 remove_duplicated_term=false 则会保留两份 liu，de，hua。注意：remove_duplicated_term 并不会影响文本首字母的文本，刘德华刘德华 生成的首字母拼音始终都为 ldhldh
remove_duplicated_term = true 并且 keep_joined_full_pinyin = true
curl -X POST -d '{
"analyzer" : "pinyin_analyzer",
"text" : ["刘德华刘德华帅帅帅，帅帅帅"]
}' "http://localhost:9200/medcl27/_analyze"
{
"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": "shuai",
"start_offset": 6,
"end_offset": 7,
"type": "word",
"position": 3
},
{
"token": "刘德华刘德华帅帅帅，帅帅帅",
"start_offset": 0,
"end_offset": 13,
"type": "word",
"position": 4
},
{
"token": "liudehualiudehuashuaishuaishuaishuaishuaishuai",
"start_offset": 0,
"end_offset": 46,
"type": "word",
"position": 5
},
{
"token": "ldhldhssssss",
"start_offset": 0,
"end_offset": 12,
"type": "word",
"position": 6
}
]
}
remove_duplicated_term 功能
remove_duplicated_term = true 会过滤相同的拼音，但是不影响全拼，刘德华刘德华 生成的字符串全拼为 liudehualiudehua
keep_none_chinese
keep_none_chinese = true
POST /medcl20/_analyze HTTP/1.1
Host: localhost:9200
{
"analyzer" : "pinyin_analyzer",
"text" : ["刘*20*德b华DJ"]
}
{
"tokens": [
{
"token": "liu",
"start_offset": 0,
"end_offset": 1,
"type": "word",
"position": 0
},
{
"token": "20",
"start_offset": 3,
"end_offset": 5,
"type": "word",
"position": 1
},
{
"token": "de",
"start_offset": 5,
"end_offset": 6,
"type": "word",
"position": 2
},
{
"token": "b",
"start_offset": 6,
"end_offset": 7,
"type": "word",
"position": 3
},
{
"token": "hua",
"start_offset": 7,
"end_offset": 8,
"type": "word",
"position": 4
},
{
"token": "d",
"start_offset": 7,
"end_offset": 9,
"type": "word",
"position": 5
},
{
"token": "j",
"start_offset": 7,
"end_offset": 9,
"type": "word",
"position": 6
},
{
"token": "刘*20*德b华dj",
"start_offset": 0,
"end_offset": 10,
"type": "word",
"position": 7
},
{
"token": "l20dbhdj",
"start_offset": 0,
"end_offset": 8,
"type": "word",
"position": 8
}
]
}
keep_none_chinese = false
POST /medcl28/_analyze HTTP/1.1
Host: localhost:9200
{
"analyzer" : "pinyin_analyzer",
"text" : ["刘*20*德b华DJ"]
}
{
"tokens": [
{
"token": "liu",
"start_offset": 0,
"end_offset": 1,
"type": "word",
"position": 0
},
{
"token": "de",
"start_offset": 5,
"end_offset": 6,
"type": "word",
"position": 1
},
{
"token": "hua",
"start_offset": 7,
"end_offset": 8,
"type": "word",
"position": 2
},
{
"token": "刘*20*德b华dj",
"start_offset": 0,
"end_offset": 10,
"type": "word",
"position": 3
},
{
"token": "l20dbhdj",
"start_offset": 0,
"end_offset": 8,
"type": "word",
"position": 4
}
]
}
keep_none_chinese 功能
keep_none_chinese = true 则非中文字母以及数字将会被保留，但是要确定所有的特别字符都是无法被保留下来的。例如，文本 刘*20*德b华dj 中的数字 20，字母 b 与 dj 将会被保留，而特殊字符 * 是不会保留的；当 keep_none_chinese=false 则非中文字母以及数字将不会被保留，上述文本中的数字 20，字母 b 与 dj 将不会被保留。注意：参数 keep_none_chinese 是不会影响首字母以及所有字符组成全拼的拼音，上述文本生成的首字母拼音为 l20dbhdj，所有字符组成的全拼为：liu20debhuadj，特别字符始终是被过滤去除的。
欢迎转载，请注明本文链接，谢谢你。
2017.4.12 20:44
elasticsearch 拼音检索能力研究的更多相关文章
- Elasticsearch原理学习--为什么Elasticsearch/Lucene检索可以比MySQL快?
转载于:http://vlambda.com/wz_wvS2uI5VRn.html 同样都可以对数据构建索引并通过索引查询数据,为什么Lucene或基于Lucene的Elasticsearch会比关系 ...
- ElasticSearch进阶检索
ElasticSearch进阶检索 入门检索中讲了如何导入elastic提供的样本测试数据,下面我们用这些数据进一步检索 一.SearchAPI ES 支持两种基本方式检索 : 1.一种是通过使用 R ...
- MD5、拼音检索和邮件发送
MD5算法 MD5算法是一种散列(hash)算法(摘要算法,指纹算法),不是一种加密算法(易错) l 为了防止用户偷懒,算两次MD5值,或者加上一个固定的字符串 MD5算法理论上是不可逆的,因此攻击 ...
- .NET 拼音检索
微软提供了一个Visual Studio International Pack 组件,可以转换简繁体,或者将汉字转换为拼音以及其他语言的支持. https://www.microsoft.com/zh ...
- easyui combobox 拼音检索快捷选择输入
easyui combobox 拼音检索快捷选择输入 效果如图 $.ajax({ url: UserActionUrl + '?action=listuserworktype', dataType ...
- 搭建ElasticSearch+MongoDB检索系统
ElasticSearch是一个基于Lucene的搜索服务器.它提供了一个分布式多用户能力的全文搜索引擎,基于RESTful web接口.Elasticsearch是用Java开发的,并作为Apach ...
- 分布式搜索elasticsearch 文献检索索引 入门
1.首先,例如,下面的数据被提交给ES该指数 {"number":32768,"singer":"杨坤","size": ...
- ES 19 - Elasticsearch的检索语法(_search API的使用)
目录 1 Search API的基本用法 1.1 查询所有数据 1.2 响应信息说明 1.3 timeout超时机制 1.4 查询多索引和多类型中的数据 2 URI Search的用法 2.1 GET ...
- elasticsearch 拼音+ik分词，spring data elasticsearch 拼音分词
elasticsearch 自定义分词器 安装拼音分词器.ik分词器 拼音分词器: https://github.com/medcl/elasticsearch-analysis-pinyin/rel ...
随机推荐
- 安装JDK并配置环境变量以及Hello World
摘要:本文主要说明在Windows环境下JDK的安装,以及安装完成之后环境变量的配置,并通过DOS运行简单的Java程序. 安装JDK 说明 SDK:软件开发工具包(Software Developm ...
- 关于ComponentOne For WinForm 的全新控件 – DataFilter数据切片器（Beta）
概述 数据切片器在电子商务网站上很常见 - 它们可以帮助用户快速过滤所选商品,并且所有过滤选项都可以在一个地方使用,通常包含核心控件类型为:清单,范围栏和单选按钮等.在ComponentOne For ...
- pm2 日常使用
1. pm2 是什么? 日常开发中需要启动一个node项目,需要用npm run …,,如果终端被关掉,程序也就自动停止,有时候几个项目一起跑起来,好几个终端开着,个人不太喜欢,有一神器可以解决:pm ...
- 廖雪峰 JavaScript 学习笔记（字符串、数组和对象）
字符串 1.和python一样,也是用' '或" "括起来的字符表示.但多行字符串是用反引号(esc下键)``,与之相对的是Python用''' '''三引号表示: 2.转义字符: ...
- vue--音乐播放器
github: https://github.com/vinieo/vue-music 效果: 基础组件: 1.confirm:确认对话框组件 2.listview:通讯录列表组件 3.loading ...
- 在pycharm中运行python程序
安装PyCharm 安装过程取决于您的操作系统: 在Windows上安装PyCharm 运行.exe您已下载的文件,并按照PyCharm安装向导的说明进行操作. 在macOS上安装PyCharm 打开 ...
- R导出图后用AI和PS处理
1)使用pdf()函数导出后,用AI打开,首先是将选中所有要用到的元素,组合为一个文件,然后设置为你最终要的大小,比如你要180mm,那么可以考虑设置为178,因为要留个窄窄的边. 2)然后设置字体和 ...
- grade配置添加java库导致报 java.lang.RuntimeException: java.lang.RuntimeException: com.android.builder.dexing.DexArchiveMerger
原因是导入的第三方库中也引入了项目中存在的相同名称的库,导致产生冲突
- 服务列表中找不到mysql
服务列表中找不到mysql - 解决办法 1.在开始处输入cmd,找到cmd选择以管理员身份运行(必须以管理员运行,直接win+r打开无效) 2.进入到MySQL安装目录的bin目录 3.执行mysq ...
- Python下探究随机数的产生原理和算法
资源下载 #本文PDF版下载 Python下探究随机数的产生原理和算法(或者单击我博客园右上角的github小标,找到lab102的W7目录下即可) #本文代码下载 几种随机数算法集合(和下文出现过的 ...