本节使用的是ES低版本，包含type。

1、query string search

搜索全部商品：GET /ecommerce/product/_search

took：耗费了几毫秒
timed_out：是否超时，这里是没有
_shards：数据拆成了5个分片，所以对于搜索请求，会打到所有的primary shard（或者是它的某个replica shard也可以）
hits.total：查询结果的数量，3个document
hits.max_score：score的含义，就是document对于一个search的相关度的匹配分数，越相关，就越匹配，分数也高
hits.hits：包含了匹配搜索的document的详细数据

{"took": 2,"timed_out": false,"_shards": {"total": 5,"successful": 5,"failed": 0},"hits": {"total": 3,"max_score": 1,"hits": [{"_index": "ecommerce","_type": "product","_id": "2","_score": 1,"_source": {"name": "jiajieshi yagao","desc": "youxiao fangzhu","price": 25,"producer": "jiajieshi producer","tags": ["fangzhu"]}},{"_index": "ecommerce","_type": "product","_id": "1","_score": 1,"_source": {"name": "gaolujie yagao","desc": "gaoxiao meibai","price": 30,"producer": "gaolujie producer","tags": ["meibai","fangzhu"]}},{"_index": "ecommerce","_type": "product","_id": "3","_score": 1,"_source": {"name": "zhonghua yagao","desc": "caoben zhiwu","price": 40,"producer": "zhonghua producer","tags": ["qingxin"]}}]}
}

query string search的由来，因为search参数都是以http请求的query string来附带的

搜索商品名称中包含yagao的商品，而且按照售价降序排序：GET /ecommerce/product/_search?q=name:yagao&sort=price:desc

适用于临时的在命令行使用一些工具，比如curl，快速的发出请求，来检索想要的信息；但是如果查询请求很复杂，是很难去构建的。
在生产环境中，几乎很少使用query string search

2、query DSL

DSL：Domain Specified Language(特定领域的语言)

http request body：请求体，可以用json的格式来构建查询语法，比较方便，可以构建各种复杂的语法，比query string search肯定强大多了。

查询所有的商品：

GET /ecommerce/product/_search
{"query": { "match_all": {} }
}

查询名称包含yagao的商品，同时按照价格降序排序：

GET /ecommerce/product/_search
{"query" : {"match" : {"name" : "yagao"}},"sort": [{ "price": "desc" }]
}

分页查询商品，总共3条商品，假设每页就显示1条商品，现在显示第2页，所以就查出来第2个商品：

GET /ecommerce/product/_search
{"query": { "match_all": {} },"from": 1,"size": 1
}

指定要查询出来商品的名称和价格就可以：

GET /ecommerce/product/_search
{"query": { "match_all": {} },"_source": ["name", "price"]
}

query DSL更加适合生产环境的使用，可以构建复杂的查询。

3、query filter

搜索商品名称包含yagao，而且售价大于25元的商品：

GET /ecommerce/product/_search
{"query" : {"bool" : {"must" : {"match" : {"name" : "yagao" }},"filter" : {"range" : {"price" : { "gt" : 25 } }}}}
}

4、full-text search（全文检索）

GET /ecommerce/product/_search
{"query" : {"match" : {"producer" : "yagao producer"}}
}

producer这个字段，会先被拆解，建立倒排索引

special 4
yagao 4
producer 1,2,3,4
gaolujie 1
zhognhua 3
jiajieshi 2

yagao producer —> yagao和producer

{"took": 4,"timed_out": false,"_shards": {"total": 5,"successful": 5,"failed": 0},"hits": {"total": 4,"max_score": 0.70293105,"hits": [{"_index": "ecommerce","_type": "product","_id": "4","_score": 0.70293105,"_source": {"name": "special yagao","desc": "special meibai","price": 50,"producer": "special yagao producer","tags": ["meibai"]}},{"_index": "ecommerce","_type": "product","_id": "1","_score": 0.25811607,"_source": {"name": "gaolujie yagao","desc": "gaoxiao meibai","price": 30,"producer": "gaolujie producer","tags": ["meibai","fangzhu"]}},{"_index": "ecommerce","_type": "product","_id": "3","_score": 0.25811607,"_source": {"name": "zhonghua yagao","desc": "caoben zhiwu","price": 40,"producer": "zhonghua producer","tags": ["qingxin"]}},{"_index": "ecommerce","_type": "product","_id": "2","_score": 0.1805489,"_source": {"name": "jiajieshi yagao","desc": "youxiao fangzhu","price": 25,"producer": "jiajieshi producer","tags": ["fangzhu"]}}]}
}

5、phrase search（短语搜索）

跟全文检索相对应，相反，全文检索会将输入的搜索串拆解开来，去倒排索引里面去一一匹配，只要能匹配上任意一个拆解后的单词，就可以作为结果返回。
phrase search，要求输入的搜索串，必须在指定的字段文本中，完全包含一模一样的，才可以算匹配，才能作为结果返回。

GET /ecommerce/product/_search
{"query" : {"match_phrase" : {"producer" : "yagao producer"}}
}

{"took": 11,"timed_out": false,"_shards": {"total": 5,"successful": 5,"failed": 0},"hits": {"total": 1,"max_score": 0.70293105,"hits": [{"_index": "ecommerce","_type": "product","_id": "4","_score": 0.70293105,"_source": {"name": "special yagao","desc": "special meibai","price": 50,"producer": "special yagao producer","tags": ["meibai"]}}]}
}

6、highlight search（高亮搜索结果）

GET /my-index2/_search
{"query" : {"match" : {"name" : "xbg"}},"highlight": {"fields" : {"name" : {}}}
}

关键词会高亮：

{"took" : 39,"timed_out" : false,"_shards" : {"total" : 1,"successful" : 1,"skipped" : 0,"failed" : 0},"hits" : {"total" : {"value" : 2,"relation" : "eq"},"max_score" : 0.75491273,"hits" : [{"_index" : "my-index2","_type" : "_doc","_id" : "O3PbwHEBsOGGEpTGnnwg","_score" : 0.75491273,"_source" : {"name" : "xbg","age" : "23","email" : "123456"},"highlight" : {"name" : ["<em>xbg</em>"]}},{"_index" : "my-index2","_type" : "_doc","_id" : "BnPbwHEBsOGGEpTGWHyE","_score" : 0.5565415,"_source" : {"name" : "xbg ljc","age" : "31","email" : "12345699999"},"highlight" : {"name" : ["<em>xbg</em> ljc"]}}]}
}

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ES多种搜索方式总结

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