一：索引

1.多重索引

　　先准备数据：

　　　　如果不小心，json里的值写错了，修改过来，重新执行即可。

 1 PUT index1/_doc/1
 2 {
 3   "name":"tom1"
 4 }
 5 PUT index2/_doc/1
 6 {
 7   "name":"tom1",
 8   "age":20
 9 }
10 PUT index3/_doc/1
11 {
12   "name":"tom3",
13   "address":"tom3 is good ,in beijing"
14 }

　　多重索引：

1  POST /index1,index2,index3/_search
2  {
3    "query":{
4      "query_string": {
5        "query":"tom1"
6      }
7    }
8  }

　　结果：

　　　　返回index1,index2,index3中包含tom1的Json对象，如果只输入tom，则是查询不到值的。

 1 {
 2   "took" : 2,
 3   "timed_out" : false,
 4   "_shards" : {
 5     "total" : 3,
 6     "successful" : 3,
 7     "skipped" : 0,
 8     "failed" : 0
 9   },
10   "hits" : {
11     "total" : {
12       "value" : 2,
13       "relation" : "eq"
14     },
15     "max_score" : 0.6931472,
16     "hits" : [
17       {
18         "_index" : "index2",
19         "_type" : "_doc",
20         "_id" : "1",
21         "_score" : 0.6931472,
22         "_source" : {
23           "name" : "tom1",
24           "age" : 20
25         }
26       },
27       {
28         "_index" : "index1",
29         "_type" : "_doc",
30         "_id" : "1",
31         "_score" : 0.2876821,
32         "_source" : {
33           "name" : "tom1"
34         }
35       }
36     ]
37   }
38 }

2._all关键字

　　所有的索引

1  POST _all/_search
2  {
3    "query":{
4      "query_string": {
5        "query":"tom3"
6      }
7    }
8  }

　　效果：

 1 {
 2   "took" : 19,
 3   "timed_out" : false,
 4   "_shards" : {
 5     "total" : 6,
 6     "successful" : 6,
 7     "skipped" : 0,
 8     "failed" : 0
 9   },
10   "hits" : {
11     "total" : {
12       "value" : 1,
13       "relation" : "eq"
14     },
15     "max_score" : 0.2876821,
16     "hits" : [
17       {
18         "_index" : "index3",
19         "_type" : "_doc",
20         "_id" : "1",
21         "_score" : 0.2876821,
22         "_source" : {
23           "name" : "tom3",
24           "address" : "tom3 is good ,in beijing"
25         }
26       }
27     ]
28   }
29 }

3.通配符的使用

　　通配符主要有：* ，+ ，-

　　index开头的索引中查找有tom3的JSON对象。

1  POST /index*/_search
2  {
3    "query":{
4      "query_string": {
5        "query":"tom3"
6      }
7    }
8  }

　　不包含index2的索引中查找

1 POST /index*,-index2/_search
2 {
3   "query":{
4     "query_string": {
5       "query": "tom1"
6     }
7   }
8 }

4.URL查询字符串参数

　　①ignore_unavailable:如果不存在索引，一个或者多个，都不会停止，继续运行

1 POST /index1,index4/_search
2 {
3   "query":{
4     "query_string": {
5       "query": "tom1"
6     }
7   }
8 }

　　则有问题：

 1 {
 2   "error" : {
 3     "root_cause" : [
 4       {
 5         "type" : "index_not_found_exception",
 6         "reason" : "no such index [index4]",
 7         "resource.type" : "index_or_alias",
 8         "resource.id" : "index4",
 9         "index_uuid" : "_na_",
10         "index" : "index4"
11       }
12     ],
13     "type" : "index_not_found_exception",
14     "reason" : "no such index [index4]",
15     "resource.type" : "index_or_alias",
16     "resource.id" : "index4",
17     "index_uuid" : "_na_",
18     "index" : "index4"
19   },
20   "status" : 404
21 }

　　加上参数：

1 POST /index1,index4/_search?ignore_unavailable=true
2 {
3   "query":{
4     "query_string": {
5       "query": "tom1"
6     }
7   }
8 }

　　效果：

 1 {
 2   "took" : 1,
 3   "timed_out" : false,
 4   "_shards" : {
 5     "total" : 1,
 6     "successful" : 1,
 7     "skipped" : 0,
 8     "failed" : 0
 9   },
10   "hits" : {
11     "total" : {
12       "value" : 1,
13       "relation" : "eq"
14     },
15     "max_score" : 0.2876821,
16     "hits" : [
17       {
18         "_index" : "index1",
19         "_type" : "_doc",
20         "_id" : "1",
21         "_score" : 0.2876821,
22         "_source" : {
23           "name" : "tom1"
24         }
25       }
26     ]
27   }
28 }

　　②allow_no_indices:如果没有通配符指定的索引，true可以防止报错

1 POST /mmm*/_search?allow_no_indices=true
2 {
3   "query":{
4     "query_string": {
5       "query": "tom1"
6     }
7   }
8 }

　　效果：

 1 {
 2   "took" : 0,
 3   "timed_out" : false,
 4   "_shards" : {
 5     "total" : 0,
 6     "successful" : 0,
 7     "skipped" : 0,
 8     "failed" : 0
 9   },
10   "hits" : {
11     "total" : {
12       "value" : 0,
13       "relation" : "eq"
14     },
15     "max_score" : 0.0,
16     "hits" : [ ]
17   }
18 }

二：响应

1.响应信息过滤

　　数据：

 1 {
 2   "took" : 2,
 3   "timed_out" : false,
 4   "_shards" : {
 5     "total" : 3,
 6     "successful" : 3,
 7     "skipped" : 0,
 8     "failed" : 0
 9   },
10   "hits" : {
11     "total" : {
12       "value" : 2,
13       "relation" : "eq"
14     },
15     "max_score" : 0.2876821,
16     "hits" : [
17       {
18         "_index" : "index1",
19         "_type" : "_doc",
20         "_id" : "1",
21         "_score" : 0.2876821,
22         "_source" : {
23           "name" : "tom1"
24         }
25       },
26       {
27         "_index" : "index2",
28         "_type" : "_doc",
29         "_id" : "1",
30         "_score" : 0.2876821,
31         "_source" : {
32           "name" : "tom1",
33           "age" : 20
34         }
35       }
36     ]
37   }
38 }

　　过滤：

1 POST /index1,index2/_search?filter_path=hits.hits._source.age
2 {
3   "query":{
4     "query_string": {
5       "query": "tom1"
6     }
7   }
8 }

　　效果：

 1 {
 2   "hits" : {
 3     "hits" : [
 4       {
 5         "_source" : {
 6           "age" : 20
 7         }
 8       }
 9     ]
10   }
11 }

2.漂亮的结果

1 Post /index1/_search?pretty=true
2 {
3   "query":{
4     "match_all": {}
5   }
6 }