[Elasticsearch](三)安装本地Elasticsearch的IK分词插件和拼音分词插件_elasticsearch 安装ik和pinyin 本地

目录: https://github.com/dolyw/ProjectStudy/tree/master/Elasticsearch

项目地址

• Github：https://github.com/dolyw/ProjectStudy/tree/master/Elasticsearch
• Gitee(码云)：https://gitee.com/dolyw/ProjectStudy/tree/master/Elasticsearch

安装本地Elasticsearch的IK分词插件

去https://github.com/medcl/elasticsearch-analysis-ik/releases下载对应Elasticsearch版本的IK分词插件elasticsearch-analysis-ik-7.3.0.zip这个文件，打开可以看到如下文件

commons-codec-1.9.jar
commons-logging-1.2.jar
config/
elasticsearch-analysis-ik-7.2.0.jar
httpclient-4.5.2.jar
httpcore-4.4.4.jar
plugin-descriptor.properties
plugin-security.policy
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没问题，就解压到你安装的Elasticsearch目录的plugins目录下，例如我的路径是这样的D:\Tools\elasticsearch-7.2.0\plugins\elasticsearch-analysis-ik-7.2.0

重启Elasticsearch，可以看到控制台打印日志

loaded plugin [analysis-ik]
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测试一下

POST /_analyze
{
  "text":"中华人民共和国国徽",
  "analyzer":"ik_smart"
}
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返回

{
	"tokens": [
		{
			"token": "中华人民共和国",
			"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
		}
	]
}
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POST /_analyze
{
  "text":"中华人民共和国国徽",
  "analyzer":"ik_max_word"
}
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返回

{
	"tokens": [
		{
			"token": "中华人民共和国",
			"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": "人民共和国",
			"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": "共和国",
			"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
		}
	]
}
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IK分词插件就这样安装成功了

安装本地Elasticsearch的拼音分词插件

去https://github.com/medcl/elasticsearch-analysis-pinyin/releases下载对应Elasticsearch版本的IK分词插件elasticsearch-analysis-pinyin-7.2.0.zip这个文件，打开可以看到如下文件

elasticsearch-analysis-pinyin-7.2.0.jar
nlp-lang-1.7.jar
plugin-descriptor.properties
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没问题，就解压到你安装的Elasticsearch目录的plugins目录下，例如我的路径是这样的D:\Tools\elasticsearch-7.2.0\plugins\elasticsearch-analysis-pinyin-7.2.0

重启Elasticsearch，可以看到控制台打印日志

loaded plugin [analysis-pinyin]
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测试一下

POST /_analyze
{
  "text":"中华人民共和国国徽",
  "analyzer":"pinyin"
}
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返回

{
	"tokens": [
		{
			"token": "zhong",
			"start_offset": 0,
			"end_offset": 0,
			"type": "word",
			"position": 0
		},
		{
			"token": "zhrmghggh",
			"start_offset": 0,
			"end_offset": 0,
			"type": "word",
			"position": 0
		},
		{
			"token": "hua",
			"start_offset": 0,
			"end_offset": 0,
			"type": "word",
			"position": 1
		},
		{
			"token": "ren",
			"start_offset": 0,
			"end_offset": 0,
			"type": "word",
			"position": 2
		},
		{
			"token": "min",
			"start_offset": 0,
			"end_offset": 0,
			"type": "word",
			"position": 3
		},
		{
			"token": "gong",
			"start_offset": 0,
			"end_offset": 0,
			"type": "word",
			"position": 4
		},
		{
			"token": "he",
			"start_offset": 0,
			"end_offset": 0,
			"type": "word",
			"position": 5
		},
		{
			"token": "guo",
			"start_offset": 0,
			"end_offset": 0,
			"type": "word",
			"position": 6
		},
		{
			"token": "guo",
			"start_offset": 0,
			"end_offset": 0,
			"type": "word",
			"position": 7
		},
		{
			"token": "hui",
			"start_offset": 0,
			"end_offset": 0,
			"type": "word",
			"position": 8
		}
	]
}
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拼音分词插件就这样安装成功了

使用IK和拼音插件(详细使用可以查看Github的文档)

• 创建Index，拼音分词过滤

PUT /book
{
	"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
				}
			}
		}
	}
}
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返回

{
    "acknowledged": true,
    "shards_acknowledged": true,
    "index": "book"
}
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• 创建Mapping，属性使用过滤，name开启拼音分词，content开启IK分词，describe开启拼音加IK分词

POST /book/_mapping
{
	"properties": {
		"name": {
			"type": "keyword",
			"fields": {
				"pinyin": {
					"type": "text",
					"store": false,
					"term_vector": "with_offsets",
					"analyzer": "pinyin_analyzer",
					"boost": 10
				}
			}
		},
		"content": {
			"type": "text",
			"analyzer": "ik_max_word",
			"search_analyzer": "ik_smart"
		},
		"describe": {
			"type": "text",
			"analyzer": "ik_max_word",
			"search_analyzer": "ik_smart",
			"fields": {
				"pinyin": {
					"type": "text",
					"store": false,
					"term_vector": "with_offsets",
					"analyzer": "pinyin_analyzer",
					"boost": 10
				}
			}
		},
		"id": {
			"type": "long"
		}
	}
}
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返回

{
    "acknowledged": true
}
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这样Index以及属性分词就开启了

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！！！