ElasticSerach7.15.2插件中文分词器（IK+pinyin）
前言
如果直接使用Elasticsearch的朋友在处理中文内容的搜索时，肯定会遇到很尴尬的问题——中文词语被分成了一个一个的汉字，当用Kibana作图的时候，按照term来分组，结果一个汉字被分成了一组。
这是因为使用了Elasticsearch中默认的标准分词器，这个分词器在处理中文的时候会把中文单词切分成一个一个的汉字，因此引入中文的分词器就能解决这个问题。
默认已安装：ElasticSerach7.15.2 和 Kibana-7.15.2
插件下载
下载编译压缩包方法：
- pingying 下载地址： https://github.com/medcl/elasticsearch-analysis-pinyin
将下载且编译好的zip包进行解压，进行拷贝，上传到ElasticSerach的 plugins的文件夹下（/usr/local/elasticsearch-7.15.2/plugins）
- 重启ElasticSearch：systemctl restart elasticsearch.service
IK分词器测试
#创建索引
put index
#创建映射
post index/_mapping
{
"properties": {
"content": {
"type": "text",
"analyzer": "ik_max_word",
"search_analyzer": "ik_smart"
}
}
}
#添加内容
post /index/_create/1
{"content":"美国留给伊拉克的是个烂摊子吗"}
post /index/_create/2
{"content":"公安部：各地校车将享最高路权"}
post /index/_create/3
{"content":"中韩渔警冲突调查：韩警平均每天扣1艘中国渔船"}
post /index/_create/4
{"content":"中国驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首"}
#根据条件查询
post /index/_search
{
"query" : { "match" : { "content" : "中国" }},
"highlight" : {
"pre_tags" : ["<tag1>", "<tag2>"],
"post_tags" : ["</tag1>", "</tag2>"],
"fields" : {
"content" : {}
}
}
}返回结果：
{
"took" : 4,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 2,
"relation" : "eq"
},
"max_score" : 0.642793,
"hits" : [
{
"_index" : "index",
"_type" : "_doc",
"_id" : "3",
"_score" : 0.642793,
"_source" : {
"content" : "中韩渔警冲突调查：韩警平均每天扣1艘中国渔船"
},
"highlight" : {
"content" : [
"中韩渔警冲突调查：韩警平均每天扣1艘<tag1>中国</tag1>渔船"
]
}
},
{
"_index" : "index",
"_type" : "_doc",
"_id" : "4",
"_score" : 0.642793,
"_source" : {
"content" : "中国驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首"
},
"highlight" : {
"content" : [
"<tag1>中国</tag1>驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首"
]
}
}
]
}
}
拼音分词器测试
1、使用自定义拼音分析器创建索引
PUT /medcl/
{
"settings" : {
"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、测试分析器，分析一个中文名称，如：刘德华
GET /medcl/_analyze
{
"text": ["刘德华"],
"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、创建映射
POST /medcl/_mapping
{
"properties": {
"name": {
"type": "keyword",
"fields": {
"pinyin": {
"type": "text",
"store": false,
"term_vector": "with_offsets",
"analyzer": "pinyin_analyzer",
"boost": 10
}
}
}
}
}4、添加内容
POST /medcl/_create/andy
{"name":"刘德华"}5、测试搜索
#根据条件查询
GET /medcl/_search
{
"query": {
"match": {
"name.pinyin": "liu"
}
}
}6、使用过滤
PUT /medcl1/
{
"settings" : {
"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
GET /medcl1/_analyze
{
"text": ["刘德华 张学友 郭富城 黎明 四大天王"],
"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、用于短语查询
PUT /medcl2/
{
"settings" : {
"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 /medcl2/_search
{
"query": {"match_phrase": {
"name.pinyin": "刘德华"
}}
}PUT /medcl3/
{
"settings" : {
"analysis" : {
"analyzer" : {
"pinyin_analyzer" : {
"tokenizer" : "my_pinyin"
}
},
"tokenizer" : {
"my_pinyin" : {
"type" : "pinyin",
"keep_first_letter":true,
"keep_separate_first_letter" : true,
"keep_full_pinyin" : true,
"keep_original" : false,
"limit_first_letter_length" : 16,
"lowercase" : true
}
}
}
}
}
POST /medcl3/_mapping
{
"properties": {
"name": {
"type": "keyword",
"fields": {
"pinyin": {
"type": "text",
"store": false,
"term_vector": "with_offsets",
"analyzer": "pinyin_analyzer",
"boost": 10
}
}
}
}
}
GET /medcl3/_analyze
{
"text": ["刘德华"],
"analyzer": "pinyin_analyzer"
}
POST /medcl3/_create/andy
{"name":"刘德华"}
GET /medcl3/_search
{
"query": {"match_phrase": {
"name.pinyin": "刘德h"
}}
}
GET /medcl3/_search
{
"query": {"match_phrase": {
"name.pinyin": "刘dh"
}}
}
GET /medcl3/_search
{
"query": {"match_phrase": {
"name.pinyin": "liudh"
}}
}
GET /medcl3/_search
{
"query": {"match_phrase": {
"name.pinyin": "liudeh"
}}
}
GET /medcl3/_search
{
"query": {"match_phrase": {
"name.pinyin": "liude华"
}}
}