#match查询
#match query知道分词器的存在，会对filed进行分词操作, 然后再查询
GET /ib3/user/_search 
{ "query":{ "match":{ "name": "zhaoliu" }}
}
GET /lib3/user/_search 
{ "query":{ "match":{ "age": 20}}
}
#match_all:查询所有文档
GET /ib3/user/_search
{ "query":{"match_all":{}}
}
#multi_match:可以指定多个字段
GET /ib3/user/_search 
{ "query":{ "multi_match": { "query": "Ilyou", "fields": ["interests" ,"name"]}}
}
#match_ phrase:短语匹配查询
#ElasticSearch引擎首先分析(analyze) 查询字符串，
#从分析后的文本中构建短语查询，
#这意味着必须匹配短语中的所有分词，
#并且保证各个分词的相对位置不变:
GET lib3/user/_search 
{ "query":{"match_phrase":{"interests": "duanlian, shuoxiangsheng" }}
}

term查询试试，没有找到，因为term是不知道分词的，会对    "name": "zhaoliu zhaoming"  当成一个关键字，索引这个关键字在倒排索引是没有的，所以没有找到

 

 terms查询同样不知道分词（在倒排索引中   "name": "zhaoliu zhaoming"   会被看成一个关键字，在倒排索引是不存在这个索引的）而且terms是数组查询，不支持单个字符串查询的

#match query知道分词器的存在，会对filed进行分词操作, 然后再查询    #match指定单个字段条件查询

GET /lib3/user/_search
{"query":{"match":{"name": "zhaoliu zhaoming"}}
}

{"took" : 38,"timed_out" : false,"_shards" : {"total" : 5,"successful" : 5,"skipped" : 0,"failed" : 0},"hits" : {"total" : 2,"max_score" : 0.6931472,"hits" : [{"_index" : "lib3","_type" : "user","_id" : "2","_score" : 0.6931472,"_source" : {"name" : "zhaoming","address" : "bei jing hai dian qu qing he zhen","age" : 20,"birthday" : "1998-10-12","interests" : "xi huan hejiu, duanlian, changge"}},{"_index" : "lib3","_type" : "user","_id" : "1","_score" : 0.2876821,"_source" : {"name" : "zhaoliu","address" : "hei long jiang sheng tie ling shi","age" : 50,"birthday" : "1970-12-12","interests" : "xi buan hejiu, duanlian, lvyou"}}]}
}

我们在看下匹配度的问题

GET /lib3/user/_search
{"query":{"match":{"interests": "duanlian changge"}}
}

{"took" : 8,"timed_out" : false,"_shards" : {"total" : 5,"successful" : 5,"skipped" : 0,"failed" : 0},"hits" : {"total" : 4,"max_score" : 1.3862944,"hits" : [{"_index" : "lib3","_type" : "user","_id" : "2","_score" : 1.3862944,"_source" : {"name" : "zhaoming","address" : "bei jing hai dian qu qing he zhen","age" : 20,"birthday" : "1998-10-12","interests" : "xi huan hejiu, duanlian, changge"}},{"_index" : "lib3","_type" : "user","_id" : "3","_score" : 0.5753642,"_source" : {"name" : "lisi","address" : "bei jing hai dian qu qing he zhen","age" : 23,"birthday" : "1998-10-12","interests" : "xi huan hejiu,duanlian, changge"}},{"_index" : "lib3","_type" : "user","_id" : "5","_score" : 0.2876821,"_source" : {"name" : "zhangsan","address" : "bei jing chao yang qu","age" : 29,"birthday" : "1988-10-12","interests" : "xi huan tingyinyue , changge , tiaowu"}},{"_index" : "lib3","_type" : "user","_id" : "1","_score" : 0.2876821,"_source" : {"name" : "zhaoliu","address" : "hei long jiang sheng tie ling shi","age" : 50,"birthday" : "1970-12-12","interests" : "xi buan hejiu, duanlian, lvyou"}}]}
}

#查询user索引下年龄20的文档
GET /lib3/user/_search
{"query":{"match":{"age": 20}}
}
#查询索引user下的所有文档
GET /lib3/user/_search
{"query":{"match_all":{}}
}

#multi_match:可以指定多个字段条件查询

#multi_match指定多个字段条件查询
#只要指定字段条件中含有changge的这个关键字都会被查询出来
#那么含有changge也会被检索到
GET /lib3/user/_search
{"query" :{"multi_match": {"query": "changge","fields": ["interests" , "name"]}}
}

#短语匹配  match_phrase

#短语匹配,在interests这个字段中含有完全一样的短语就会被查询出来
GET lib3/user/_search
{"query":{"match_phrase":{"interests": "duanlian, changge"}}
}