elasticsearch分词器插件开发（Elasticsearch配置---验证中文分词插件）

[elk@linux1 ~]$ curl -X GET 'http://localhost:9200/_cat/indices?v'，今天小编就来说说关于elasticsearch分词器插件开发?下面更多详细答案一起来看看吧!

elasticsearch分词器插件开发

1. 创建Index：

[elk@linux1 ~]$ curl -X GET 'http://localhost:9200/_cat/indices?v'

health status index uuid pri rep docs.count docs.deleted store.size pri.store.size

创建名称为index1的Index：

[elk@linux1 ~]$ curl -XPUT http://localhost:9200/index1

{"acknowledged":true,"shards_acknowledged":true,"index":"index1"}[elk@linux1 ~]$

[elk@linux1 ~]$

[elk@linux1 ~]$ curl -X GET 'http://localhost:9200/_cat/indices?v'

health status index uuid pri rep docs.count docs.deleted store.size pri.store.size

yellow open index1 9jeo0t0eSh-Lw3Ntb73g5A 1 1 0 0 230b 230b

创建名称为accounts的Index：

[elk@linux1 ~]$ curl -X PUT 'localhost:9200/accounts'

{"acknowledged":true,"shards_acknowledged":true,"index":"accounts"}[elk@linux1 ~]$

[elk@linux1 ~]$

[elk@linux1 ~]$ curl -X GET 'http://localhost:9200/_cat/indices?v'

health status index uuid pri rep docs.count docs.deleted store.size pri.store.size

yellow open index1 9jeo0t0eSh-Lw3Ntb73g5A 1 1 0 0 230b 230b

yellow open accounts nK6QbHUwS4CUvHJf43BwTA 1 1 0 0 230b 230b

---

2.创建mapping

curl -XPOST http://localhost:9200/index1/_mapping -H 'Content-type:application/json' -d'

{

"properties": {

"content": {

"type": "text",

"analyzer": "ik_max_word",

"search_analyzer": "ik_max_word"

}

}

}'

curl -XPOST 'localhost:9200/accounts/_mapping' -H 'Content-Type:application/json' -d '

{

"properties": {

"user": {

"type": "text",

"analyzer": "ik_max_word",

"search_analyzer": "ik_max_word"

},

"title": {

"type": "text",

"analyzer": "ik_max_word",

"search_analyzer": "ik_max_word"

},

"desc": {

"type": "text",

"analyzer": "ik_max_word",

"search_analyzer": "ik_max_word"

}

}

}'

【注释】有三个字段：user, title, desc。这三个字段都是中文，而且类型都是文本（text），所以需要指定中文分词器，不能使用默认的英文分词器。

【注释】创建Index和mapping的两步（先PUT再POST到_mapping）可以一步（PUT）完成：

curl -X PUT 'localhost:9200/accounts' -H 'Content-Type:application/json' -d '

{

"mappings": {

"properties": {

"user": {

"type": "text",

"analyzer": "ik_max_word",

"search_analyzer": "ik_max_word"

},

"title": {

"type": "text",

"analyzer": "ik_max_word",

"search_analyzer": "ik_max_word"

},

"desc": {

"type": "text",

"analyzer": "ik_max_word",

"search_analyzer": "ik_max_word"

}

}

}

}'

3.数据操作

Elastic 的分词器称为 analyzer。我们对每个字段指定分词器。

"user": {

"type": "text",

"analyzer": "ik_max_word",

"search_analyzer": "ik_max_word"

}

上面代码中，analyzer是字段文本的分词器，search_analyzer是搜索词的分词器。ik_max_word分词器是插件ik提供的，可以对文本进行最大数量的分词。

以accounts 这个Index为例：

a) 新增记录： 向指定的 /Index 发送 PUT 请求，就可以在 Index 里面新增一条记录。比如，向/accounts发送请求，就可以新增一条人员记录。

curl -X PUT 'localhost:9200/accounts/_create/1' -H 'Content-Type:application/json' -d '

{

"user": "张三",

"title": "工程师",

"desc": "数据库管理"

}'

{

"_index": "accounts",

"_type": "_doc",

"_id": "1",

"_version": 1,

"result": "created",

"_shards": {

"total": 2,

"successful": 1,

"failed": 0

},

"_seq_no": 0,

"_primary_term": 1

}

服务器返回的 JSON 对象，会给出 Index、Type、Id、Version 等信息。

curl -X PUT 'localhost:9200/accounts/_create/2' -H 'Content-Type:application/json' -d '

{

"user": "张三四",

"title": "工程师",

"desc": "中间件管理"

}'

b) 查询记录

curl -XPOST http://localhost:9200/accounts/_search -H 'Content-Type:application/json' -d'

{

"query" : { "match" : { "user" : "张三" }},

"highlight" : {

"pre_tags" : ["<tag1>", "<tag2>"],

"post_tags" : ["</tag1>", "</tag2>"],

"fields" : {

"user" : {}

}

}

}

'

{

"took": 328,

"timed_out": false,

"_shards": {

"total": 1,

"successful": 1,

"skipped": 0,

"failed": 0

},

"hits": {

"total": {

"value": 1,

"relation": "eq"

},

"max_score": 0.8630463,

"hits": [

{

"_index": "accounts",

"_type": "_doc",

"_id": "1",

"_score": 0.8630463,

"_source": {

"user": "张三",

"title": "工程师",

"desc": "数据库管理"

},

"highlight": {

"user": [

"<tag1>张</tag1><tag1>三</tag1>"

]

}

}

]

}

}

,