Elasticsearch拼音分词和IK分词的安装及使用

时间:2022-12-26 16:21:30

一、Es插件配置及下载

1.IK分词器的下载安装

关于IK分词器的介绍不再多少,一言以蔽之,IK分词是目前使用非常广泛分词效果比较好的中文分词器。做ES开发的,中文分词十有八九使用的都是IK分词器。

下载地址:https://github.com/medcl/elasticsearch-analysis-ik

2.pinyin分词器的下载安装

可以在淘宝、京东的搜索框中输入pinyin就能查找到自己想要的结果,这就是拼音分词,拼音分词则是将中文分析成拼音格式,可以通过拼音分词分析出来的数据进行查找想要的结果。

下载地址:https://github.com/medcl/elasticsearch-analysis-pinyin

注:插件下载一定要和自己版本对应的Es版本一致,并且安装完插件后需重启Es,才能生效。

插件安装位置:(本人安装了三个插件,暂时先不介绍murmur3插件,可以暂时忽略)

Elasticsearch拼音分词和IK分词的安装及使用

插件配置成功,重启Es

Elasticsearch拼音分词和IK分词的安装及使用

二、拼音分词器和IK分词器的使用

1.IK中文分词器的使用

1.1 ik_smart: 会做最粗粒度的拆分

GET /_analyze
{
"text":"*国徽",
"analyzer":"ik_smart"
} 结果:
{
"tokens": [
{
"token": "*",
"start_offset": 0,
"end_offset": 7,
"type": "CN_WORD",
"position": 0
},
{
"token": "国徽",
"start_offset": 7,
"end_offset": 9,
"type": "CN_WORD",
"position": 1
}
]
}

1.2  ik_max_word: 会将文本做最细粒度的拆分

GET /_analyze
{
"text": "*国徽",
"analyzer": "ik_max_word"
} 结果:
{
"tokens": [
{
"token": "*",
"start_offset": 0,
"end_offset": 7,
"type": "CN_WORD",
"position": 0
},
{
"token": "中华人民",
"start_offset": 0,
"end_offset": 4,
"type": "CN_WORD",
"position": 1
},
{
"token": "中华",
"start_offset": 0,
"end_offset": 2,
"type": "CN_WORD",
"position": 2
},
{
"token": "华人",
"start_offset": 1,
"end_offset": 3,
"type": "CN_WORD",
"position": 3
},
{
"token": "人民*",
"start_offset": 2,
"end_offset": 7,
"type": "CN_WORD",
"position": 4
},
{
"token": "人民",
"start_offset": 2,
"end_offset": 4,
"type": "CN_WORD",
"position": 5
},
{
"token": "*",
"start_offset": 4,
"end_offset": 7,
"type": "CN_WORD",
"position": 6
},
{
"token": "共和",
"start_offset": 4,
"end_offset": 6,
"type": "CN_WORD",
"position": 7
},
{
"token": "国",
"start_offset": 6,
"end_offset": 7,
"type": "CN_CHAR",
"position": 8
},
{
"token": "国徽",
"start_offset": 7,
"end_offset": 9,
"type": "CN_WORD",
"position": 9
}
]
}

2.拼音分词器的使用

GET /_analyze
{
"text":"刘德华",
"analyzer": "pinyin"
} 结果:
{
"tokens": [
{
"token": "liu",
"start_offset": 0,
"end_offset": 1,
"type": "word",
"position": 0
},
{
"token": "ldh",
"start_offset": 0,
"end_offset": 3,
"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
}
]
}

注:不管是拼音分词器还是IK分词器,当深入搜索一条数据是时,必须是通过分词器分析的数据,才能被搜索到,否则搜索不到

三、IK分词和拼音分词的组合使用

当我们创建索引时可以自定义分词器,通过指定映射去匹配自定义分词器

PUT /my_index
{
"settings": {
"analysis": {
"analyzer": {
"ik_smart_pinyin": {
"type": "custom",
"tokenizer": "ik_smart",
"filter": ["my_pinyin", "word_delimiter"]
},
"ik_max_word_pinyin": {
"type": "custom",
"tokenizer": "ik_max_word",
"filter": ["my_pinyin", "word_delimiter"]
}
},
"filter": {
"my_pinyin": {
"type" : "pinyin",
"keep_separate_first_letter" : true,
"keep_full_pinyin" : true,
"keep_original" : true,
"limit_first_letter_length" : 16,
"lowercase" : true,
"remove_duplicated_term" : true
}
}
}
} }

当我们建type时,需要在字段的analyzer属性填写自己的映射

PUT /my_index/my_type/_mapping
{
"my_type":{
"properties": {
"id":{
"type": "integer"
},
"name":{
"type": "text",
"analyzer": "ik_smart_pinyin"
}
}
}
}

测试,让我们先添加几条数据

POST /my_index/my_type/_bulk
{ "index": { "_id":1}}
{ "name": "张三"}
{ "index": { "_id": 2}}
{ "name": "张四"}
{ "index": { "_id": 3}}
{ "name": "李四"}

IK分词查询

GET /my_index/my_type/_search
{
"query": {
"match": {
"name": "李"
}
}
} 结果:
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 0.47160998,
"hits": [
{
"_index": "my_index",
"_type": "my_type",
"_id": "3",
"_score": 0.47160998,
"_source": {
"name": "李四"
}
}
]
}
}

拼音分词查询:

GET /my_index/my_type/_search
{
"query": {
"match": {
"name": "zhang"
}
}
} 结果:
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 0.3758317,
"hits": [
{
"_index": "my_index",
"_type": "my_type",
"_id": "2",
"_score": 0.3758317,
"_source": {
"name": "张四"
}
},
{
"_index": "my_index",
"_type": "my_type",
"_id": "1",
"_score": 0.3758317,
"_source": {
"name": "张三"
}
}
]
}
}

注:搜索时,先查看被搜索的词被分析成什么样的数据,如果你搜索该词输入没有被分析出的参数时,是查不到的!!!!