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Elasticsearch的CURD、复杂查询、聚合函数、映射mappings

时间:2019-08-24 01:02:47      阅读:47      评论:0      收藏:0      [点我收藏+]

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基本增删改查(CURD)

操作中注意:1.当执行PUT命令时,如果数据不存在,则新增该条数据,如果数据存在则修改该条数据。

      2.PUT命令,在做修改操作时,如果未指定其他的属性,则按照指定的属性进行修改操作。

      3.POST命令,这里可用来执行修改操作(还有其他的功能),POST命令配合_update完成修改操作,指定修改的内容放到doc

 1 PUT user/doc/1
 2 {
 3   "name":"热狗",
 4   "age":18,
 5   "sex":"",
 6   "tags":"闷骚",
 7   "b":"19970715"
 8 }
 9 
10 PUT user/doc/2
11 {
12   "name":"爆音",
13   "age":20,
14   "sex":"",
15   "tags":"",
16   "b":"19970521"
17 }
18 
19 PUT user/doc/3
20 {
21   "name":"和苏",
22   "age":21,
23   "sex":"",
24   "tags":"高冷",
25   "b":"19980621"
26 }
27 
28 PUT user/doc/4
29 {
30   "name":"宝石",
31   "age":25,
32   "sex":"",
33   "tags":"实力高手",
34   "b":"19940421"
35 }
36 
37 PUT user/doc/5
38 {
39   "name":"TT",
40   "age":24,
41   "sex":"",
42   "tags":"就是帅",
43   "b":"19981201"
44 }
45 
46 GET user/doc/1
47 
48 GET user/doc/_search
49 
50 # 查询字符串 query string
51 GET user/doc/_search?q=age:22
52 
53 
54 # 在做修改时操作,如果未指定其它的字段,则按照指定的字段进行修改,未指定的字段就不复存在了
55 PUT user/doc/4
56 {
57   "tags":"帅气"
58 }
59 
60 GET user/doc/4
61 
62 
63 # 修改指定字段使用POST
64 POST user/doc/4/_update
65 {
66   "doc":{
67     "tags":"高手"
68   }
69 }
70 
71 DELETE user/doc/5
72 
73 DELETE user
74 
75 POST user/doc/_delete_by_query?q=age:18

 

查询的两种方式

  1.查询字符串 query string

  2.DSL结构化查询

 1 # 查询的两种方式
 2 # 1.查询字符串 query string
 3 GET user/doc/_search?q=age:22
 4 
 5 # 2.DSL结构化查询
 6 GET user/doc/_search
 7 {
 8   "query": {
 9     "match": {
10       "age": "24"
11     }
12   }
13 }
14 
15 
16 GET user/doc/_search
17 {
18   "query": {
19     "match": {
20       "tags": "浪 就是帅"
21     }
22   }
23 }
24 
25 
26 # 查所有
27 GET user/doc/_search
28 GET user/doc/_search
29 {
30   "query": {
31     "match_all": {}
32   }
33 }

 

 复杂查询(按照条件查询)

 1 GET user/doc/_search
 2 {
 3   "query": {
 4     "match": {
 5       "tags": "浪 就是帅"
 6     }
 7   }
 8 }
 9 
10 
11 # 查所有
12 GET user/doc/_search
13 GET user/doc/_search
14 {
15   "query": {
16     "match_all": {}
17   }
18 }

 

 排序(sort   desc降序  asc升序)

 1 GET user/doc/_search
 2 {
 3   "query": {
 4     "match_all": {}
 5   },
 6   "sort": [
 7     {
 8       "age": {
 9         "order": "asc"
10       }
11     }
12   ]
13 }
14 
15 
16 GET user/doc/_search
17 {
18   "query": {
19     "match_all": {}
20   },
21   "sort": [
22     {
23       "age": {
24         "order": "desc"
25       }
26     }
27   ]
28 }

 

 分页(from/size)

 1 # 分页
 2 GET user/doc/_search
 3 {
 4   "query": {
 5     "match_all": {}
 6   },
 7   "from": 2,
 8   "size": 2
 9 }
10 
11 GET user/doc/_search
12 {
13   "query": {
14     "match_all": {}
15   },
16   "from": 4,
17   "size": 2
18 }

 

 布尔查询bool: should(or) must(and) must_not(not)

  1 GET user/doc/_search
  2 {
  3   "query": {
  4     "match_all": {}
  5   },
  6   "from": 2,
  7   "size": 2
  8 }
  9 
 10 GET user/doc/_search
 11 {
 12   "query": {
 13     "match_all": {}
 14   },
 15   "from": 4,
 16   "size": 2
 17 }
 18 
 19 
 20 
 21 
 22 # 布尔查询bool: should(or) must(and) must_not(not)
 23 GET user/doc/_search
 24 {
 25   "query": {
 26     "bool": {
 27       "should": [
 28         {
 29           "match": {
 30             "name": "热狗"
 31           }
 32         },
 33         {
 34           "match": {
 35             "age": "24"
 36           }
 37         }
 38       ]
 39     }
 40   }
 41 }
 42 
 43 
 44 
 45 # 查询性别是男的,年龄24:must
 46 GET user/doc/_search
 47 {
 48   "query": {
 49     "bool": {
 50       "must": [
 51         {
 52           "match": {
 53           "sex": ""
 54           }
 55         },
 56         {
 57           "match": {
 58             "age": "24"
 59           }
 60         }
 61       ]
 62     }
 63   }
 64 }
 65 
 66 
 67 
 68 
 69 # 查询既不是男的,又不是18岁:must_not
 70 GET user/doc/_search
 71 {
 72   "query": {
 73     "bool": {
 74       "must_not": [
 75         {
 76           "match": {
 77             "sex": ""
 78           }
 79         },
 80         {
 81           "match": {
 82             "age": "18"
 83           }
 84         }
 85       ]
 86     }
 87   }
 88 }
 89 
 90 
 91 
 92 
 93 # 查询年龄大于20岁的男的文档filter range gt
 94 GET user/doc/_search
 95 {
 96   "query": {
 97     "bool": {
 98       "must": [
 99         {
100           "match": {
101             "sex": ""
102           }
103         }
104       ],
105       "filter": {
106         "range": {
107           "age": {
108             "gt": 20
109           }
110         }
111       }
112     }
113   }
114 }
115 
116 
117 
118 # 查询年龄大于等于25的男的文档
119 GET user/doc/_search
120 {
121   "query": {
122     "bool": {
123       "must": [
124         {
125           "match": {
126             "sex": ""
127           }
128         }
129       ],
130       "filter": {
131         "range": {
132           "age": {
133             "gte": 25
134           }
135         }
136       }
137     }
138   }
139 }
140 
141 
142 
143 
144 
145 # 查询年龄小于20的男的文档
146 GET user/doc/_search
147 {
148   "query": {
149     "bool": {
150       "must": [
151         {
152           "match": {
153             "sex": ""
154           }
155         }
156       ],
157       "filter": {
158         "range": {
159           "age": {
160             "lt": 20
161           }
162         }
163       }
164     }
165   }
166 }

 

 高亮查询(highlight,pre_tags,post_tags

 1 # 查询名字是热狗的文档
 2 GET user/doc/_search
 3 {
 4   "query": {
 5     "match": {
 6       "name": "热狗"
 7     }
 8   },
 9   "highlight": {
10     "pre_tags": "<b style=‘color:red;font-size:30px;‘ class=‘regou‘>", 
11     "post_tags": "</b>", 
12     "fields": {
13       "name": {}
14     }
15   }
16 }
17 
18 
19 # *************************
20 PUT user/doc/6
21 {
22   "name":"ziqi",
23   "desc":"美的打漂"
24 }
25 
26 
27 
28 GET user/doc/_search
29 {
30   "query": {
31     "match": {
32       "desc": "打漂"
33     }
34   },
35   "highlight": {
36     "pre_tags": "<b style=‘color:red;font-size:30px;‘ class=‘ziqi‘>", 
37     "post_tags": "</b>", 
38     "fields": {
39       "desc": {}
40     }
41   }
42 }

 

 结果过滤(_source)

1 GET user/doc/_search
2 {
3   "query": {
4     "match": {
5       "name": "TT"
6     }
7   },
8   "_source": ["name","age","sex"]
9 }

 

 聚合查询(avg、max、min、sum、分组)

# sum  查询所有男性年龄的总和
GET user/doc/_search
{
  "query": {
    "match": {
      "sex": ""
    }
  },
  "aggs": {
    "my_sum": {
      "sum": {
        "field": "age"
      }
    }
  }
}


# max 查询年龄最大的男生
GET user/doc/_search
{
  "query": {
    "match": {
      "sex": ""
    }
  },
  "aggs": {
    "my_max": {
      "max": {
        "field": "age"
      }
    }
  }
}


# min 查询年龄最小的男生
GET user/doc/_search
{
  "aggs": {
    "my_min": {
      "min": {
        "field": "age"
      }
    }
  }
}


# avg 年龄平均
GET user/doc/_search
{
  "aggs": {
    "my_avg": {
      "avg": {
        "field": "age"
      }
    }
  }
}


# 分组,对男性年龄,10-20, 20-30
GET user/doc/_search
{
  "query": {
    "match": {
      "sex": ""
    }
  },
  "aggs": {
    "my_group": {
      "range": {
        "field": "age",
        "ranges": [
          {
            "from": 10,
            "to": 20
          },
          {
            "from": 20,
            "to": 30
          }
        ]
      }
    }
  }
}


# 分组,对男性年龄,10-20, 20-30 对每组年龄求和

GET user/doc/_search
{
  "query": {
    "match": {
      "sex": ""
    }
  },
  "aggs": {
    "group":{
      "range": {
        "field": "age",
        "ranges": [
          {
            "from": 10,
            "to": 20
          },
          {
            "from": 20,
            "to": 30
          }
        ]
      },
      "aggs": {
        "my_sum": {
          "sum": {
            "field": "age"
          }
        }
      }
    }
  }
}

 

 mappings创建映射关系以及dynamic参数三种模式

   三种模式:      

    mapping的dynamic的三种状态true动态模式 flase静态模式 strict严格模式
    默认是true,如果插入未定义的字段,也可以通过此字段进行查找
    如果自己定义false,那么此字段不能当为主的查询条件,否则hits为空
    它们二者都有相同的特点:就是在查询的时候(查所有),如果之前没有定义的映射类型字段的时候它们都会返回
    strict,不能新增字段

# mappings 创建映射关系
PUT s2
{
  "mappings": {
    "doc":{
      "properties":{
        "name":{
          "type":"text"
        },
        "age":{
          "type":"long"
        },
        "desc":{
          "type":"text"
        }
      }
    }
  }
}

# 往自定义映射关系中插入数据
PUT s2/doc/1
{
  "name":"凡哥",
  "age":22,
  "desc":"低调"
}

PUT s2/doc/2
{
  "name":"潘帅",
  "age":25,
  "desc":"自带说唱特效",
  "tags":""
}
# 又可以开始查询了
GET s2/doc/_search


# mapping的dynamic的三种状态true动态模式 flase静态模式 strict严格模式
# 默认是true,如果插入未定义的字段,也可以通过此字段进行查找
# 如果自己定义false,那么此字段不能当为主的查询条件,否则hits为空
# 它们二者都有相同的特点:就是在查询的时候(查所有),如果之前没有定义的映射类型字段的时候它们都会返回
# strict,不能新增字段
PUT s4
{
  "mappings": {
    "doc":{
      "dynamic":true,
      "properties":{
        "name":{
          "type":"text"
        }
      }
    }
  }
}

GET s4/_mapping
PUT s4/doc/1
{
  "name":"那吾克热"
}

PUT s4/doc/2
{
  "name":"l4雾都",
  "age":"20"
}

GET s4/doc/_search
{
  "query": {
    "match": {
      "name": "那吾克热"
    }
  }
}

GET s4/doc/_search
{
  "query": {
    "match": {
      "age": "20"
    }
  }
}



PUT s5
{
  "mappings": {
    "doc":{
      "dynamic":false,
      "properties":{
        "name":{
          "type":"text"
        }
      }
    }
  }
}

GET s5/_mapping
PUT s5/doc/1
{
  "name":"那吾克热"
}

PUT s5/doc/2
{
  "name":"l4雾都",
  "age":"20"
}

GET s5/doc/_search
{
  "query": {
    "match": {
      "name": "那吾克热"
    }
  }
}

# 查不到hits里边为空
GET s5/doc/_search
{
  "query": {
    "match": {
      "age": "20"
    }
  }
}


# 在创建mapping时必须添加类型(doc),不然报错,我已经试过了
PUT s6
{
  "mappings": {
    "doc":{
      "dynamic":"strict",
      "properties":{
        "name":{
          "type":"text"
        }
      }
    }
  }
}

PUT s6/doc/1
{
  "name":"好大哥"
}


# 直接报错   strict模式严格遵循定的字段,整死都不能加age字段
PUT s6/doc/2
{
  "name":"紫棋",
  "age":18
}

GET s6/_mapping
GET s6/doc/_search
{
  "query": {
    "match": {
      "name": "好大哥"
    }
  }
}



PUT s3
{
  "mappings": {
    "doc":{
      "properties":{
        "name":{
          "type":"text",
          "fields":{
            "keyword":{
              "type":"keyword",
              "ignore_above":64
            }
          }
        },
        "age":{
          "type":"long"
        },
        "desc":{
          "type":"text"
        }
      }
    }
  }
}

GET user/_mapping
GET s2/_mapping
GET s3/_mapping

 mappings的参数ignore_above

   长度超出将不会被索引

PUT s7
{
  "mappings": {
    "doc":{
      "properties":{
        "title":{
          "type":"keyword",
          "ignore_above":10
        }
      }
    }
  }
}

GET s7/_mapping
PUT s7/doc/1
{
  "title":"外交部:美国没资格对他国谈什么守信、谈什么承诺"
}
PUT s7/doc/2
{
  "title":"成都"
}

GET s7/doc/_search

# hits为空
GET s7/doc/_search
{
  "query": {
    "match": {
      "title": "外交部"
    }
  }
}


# hits也为空
GET s7/doc/_search
{
  "query": {
    "match": {
      "title": "外交部:美国没资格对他国谈什么守信、谈什么承诺"
    }
  }
}


GET s7/doc/_search
{
  "query": {
    "match": {
      "title": "成都"
    }
  }
}

 

 

技术分享图片
  1 {
  2   "took" : 1,
  3   "timed_out" : false,
  4   "_shards" : {
  5     "total" : 5,
  6     "successful" : 5,
  7     "skipped" : 0,
  8     "failed" : 0
  9   },
 10   "hits" : {
 11     "total" : 2,
 12     "max_score" : 1.0,
 13     "hits" : [
 14       {
 15         "_index" : "s7",
 16         "_type" : "doc",
 17         "_id" : "2",
 18         "_score" : 1.0,
 19         "_source" : {
 20           "title" : "成都"
 21         }
 22       },
 23       {
 24         "_index" : "s7",
 25         "_type" : "doc",
 26         "_id" : "1",
 27         "_score" : 1.0,
 28         "_source" : {
 29           "title" : "外交部:美国没资格对他国谈什么守信、谈什么承诺"
 30         }
 31       }
 32     ]
 33   }
 34 }
 35 
 36 
 37 
 38 
 39 {
 40   "took" : 1,
 41   "timed_out" : false,
 42   "_shards" : {
 43     "total" : 5,
 44     "successful" : 5,
 45     "skipped" : 0,
 46     "failed" : 0
 47   },
 48   "hits" : {
 49     "total" : 0,
 50     "max_score" : null,
 51     "hits" : [ ]
 52   }
 53 }
 54 
 55 
 56 
 57 
 58 
 59 
 60 
 61 {
 62   "took" : 1,
 63   "timed_out" : false,
 64   "_shards" : {
 65     "total" : 5,
 66     "successful" : 5,
 67     "skipped" : 0,
 68     "failed" : 0
 69   },
 70   "hits" : {
 71     "total" : 0,
 72     "max_score" : null,
 73     "hits" : [ ]
 74   }
 75 }
 76 
 77 
 78 
 79 
 80 {
 81   "took" : 1,
 82   "timed_out" : false,
 83   "_shards" : {
 84     "total" : 5,
 85     "successful" : 5,
 86     "skipped" : 0,
 87     "failed" : 0
 88   },
 89   "hits" : {
 90     "total" : 1,
 91     "max_score" : 0.2876821,
 92     "hits" : [
 93       {
 94         "_index" : "s7",
 95         "_type" : "doc",
 96         "_id" : "2",
 97         "_score" : 0.2876821,
 98         "_source" : {
 99           "title" : "成都"
100         }
101       }
102     ]
103   }
104 }
查询结果

 

 mappings的参数index

     若设置成false,不会为该字段创索引,意味着不能当主查询条件

PUT s8
{
  "mappings": {
    "doc":{
      "properties":{
        "t1":{
          "type":"text",
          "index":true
        },
        "t2":{
          "type":"text",
          "index":false
        }
      }
    }
  }
}

PUT s8/doc/1
{
  "t1" : "论母猪的产前保养",
  "t2" : "论母猪的产后护理"
}


GET s8/doc/_search
{
  "query": {
    "match": {
      "t1": "母猪"
    }
  }
}



GET s8/doc/_search
{
  "query": {
    "match": {
      "t2": "母猪"
    }
  }
}

 

 

技术分享图片
 1 {
 2   "took" : 2,
 3   "timed_out" : false,
 4   "_shards" : {
 5     "total" : 5,
 6     "successful" : 5,
 7     "skipped" : 0,
 8     "failed" : 0
 9   },
10   "hits" : {
11     "total" : 1,
12     "max_score" : 0.5753642,
13     "hits" : [
14       {
15         "_index" : "s8",
16         "_type" : "doc",
17         "_id" : "1",
18         "_score" : 0.5753642,
19         "_source" : {
20           "t1" : "论母猪的产前保养",
21           "t2" : "论母猪的产后护理"
22         }
23       }
24     ]
25   }
26 }
27 
28 
29 
30 
31 # 报错
32 {
33   "error": {
34     "root_cause": [
35       {
36         "type": "query_shard_exception",
37         "reason": "failed to create query: {\n  \"match\" : {\n    \"t2\" : {\n      \"query\" : \"母猪\",\n      \"operator\" : \"OR\",\n      \"prefix_length\" : 0,\n      \"max_expansions\" : 50,\n      \"fuzzy_transpositions\" : true,\n      \"lenient\" : false,\n      \"zero_terms_query\" : \"NONE\",\n      \"auto_generate_synonyms_phrase_query\" : true,\n      \"boost\" : 1.0\n    }\n  }\n}",
38         "index_uuid": "0RDJTT8UQKy6grrB2VJx1w",
39         "index": "s8"
40       }
41     ],
42     "type": "search_phase_execution_exception",
43     "reason": "all shards failed",
44     "phase": "query",
45     "grouped": true,
46     "failed_shards": [
47       {
48         "shard": 0,
49         "index": "s8",
50         "node": "DyXq8gbMRUKFhmD6Rgbw3g",
51         "reason": {
52           "type": "query_shard_exception",
53           "reason": "failed to create query: {\n  \"match\" : {\n    \"t2\" : {\n      \"query\" : \"母猪\",\n      \"operator\" : \"OR\",\n      \"prefix_length\" : 0,\n      \"max_expansions\" : 50,\n      \"fuzzy_transpositions\" : true,\n      \"lenient\" : false,\n      \"zero_terms_query\" : \"NONE\",\n      \"auto_generate_synonyms_phrase_query\" : true,\n      \"boost\" : 1.0\n    }\n  }\n}",
54           "index_uuid": "0RDJTT8UQKy6grrB2VJx1w",
55           "index": "s8",
56           "caused_by": {
57             "type": "illegal_argument_exception",
58             "reason": "Cannot search on field [t2] since it is not indexed."
59           }
60         }
61       }
62     ]
63   },
64   "status": 400
65 }
查询结果

 

mappings的参数copy_to 

   可以把字段的值copy给其它的字段,这样其它的字段可以做主查询条件。

   同时它也可以copy多个字段

# copy_to 把t1 t2两字段的值copy给t3,t3也可以当做主查询条件
PUT s9
{
  "mappings": {
    "doc":{
      "properties":{
        "t1":{
          "type":"text",
          "copy_to":"t3"
        },
        "t2":{
          "type":"text",
          "copy_to":"t3"
        },
        "t3":{
          "type":"text"
        }
      }
    }
  }
}



# copy多个字段也行试了下居然对字段类型没要求
PUT s10
{
  "mappings": {
    "doc":{
      "properties":{
        "t1":{
          "type":"text",
          "copy_to":["f1", "f2"]
        },
        "t2":{
          "type":"text",
          "copy_to":["f1", "f2"]
        },
        "f1":{
          "type":"text"
        },
         "f2":{
          "type":"keyword"
        }
      }
    }
  }
}




PUT s9/doc/1
{
  "t1":"TT",
  "t2":"ziqi"
}


GET s9/doc/_search
{
  "query": {
    "match": {
      "t1": "TT"
    }
  }
}


GET s9/doc/_search
{
  "query": {
    "match": {
      "t2": "ziqi"
    }
  }
}



GET s9/doc/_search
{
  "query": {
    "match": {
      "t3": "ziqi"
    }
  }
}
三种方式都可以被查到

{
  "took" : 2,
  "timed_out" : false,
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : 1,
    "max_score" : 0.2876821,
    "hits" : [
      {
        "_index" : "s9",
        "_type" : "doc",
        "_id" : "1",
        "_score" : 0.2876821,
        "_source" : {
          "t1" : "TT",
          "t2" : "ziqi"
        }
      }
    ]
  }
}  

 

对象属性之嵌套

PUT w1
{
  "mappings": {
    "doc":{
      "properties":{
        "name":{
          "type":"text"
        },
        "age":{
          "type":"long"
        },
        "info":{
          "properties":{
          "addr":{
            "type":"text"
          },
          "telphone":{
            "type":"long"
            }
          }
        }
      }
    }
  }
}

GET w1/_mapping

PUT w1/doc/1
{
  "name":"tom",
  "age":18,
  "info":{
    "addr":"成都",
    "telphone":15555555555
  }
}


# 查嵌套点就完事
GET w1/doc/_search
{
  "query": {
    "match": {
      "info.addr": "成都"
    }
  }
}


GET w1

 

 

技术分享图片
 1 {
 2   "w1" : {
 3     "aliases" : { },
 4     "mappings" : {
 5       "doc" : {
 6         "properties" : {
 7           "age" : {
 8             "type" : "long"
 9           },
10           "info" : {
11             "properties" : {
12               "addr" : {
13                 "type" : "text"
14               },
15               "telphone" : {
16                 "type" : "long"
17               }
18             }
19           },
20           "name" : {
21             "type" : "text"
22           }
23         }
24       }
25     },
26     "settings" : {
27       "index" : {
28         "creation_date" : "1566437237640",
29         "number_of_shards" : "5",
30         "number_of_replicas" : "1",
31         "uuid" : "4sGzN3COSTq3kvkgQVDZNQ",
32         "version" : {
33           "created" : "6050499"
34         },
35         "provided_name" : "w1"
36       }
37     }
38   }
39 }
GET w1结果

 

 settings参数(主分片、复制分片)

     主分片一旦设置不能修改,复制分片设置可以被修改,请求到来时主复制分片都会去检索,检索到返回  若主分片挂了,复制分片数据依然存在,检索到数据依然被返回,但是复制分片自动升级为主分片,内部自动会将数据进行迁移,不会丢失数据

PUT w2
{
  "mappings": {
    "doc":{
      "properties":{
        "name":{
          "type":"text"
        }
      }
    }
  },
  "settings": {
    "number_of_shards": 3,
    "number_of_replicas": 3
  }
}


GET w2

 

短语查询(match_phrase,slop   match_phrase_prefix最左前缀查询

   注意格式

# 短语查询
PUT t1/doc/1
{
  "title":"中国是世界人口最多的国家"
}


PUT t1/doc/2
{
  "title":"美国是世界上军事实力最强大的国家"
}


PUT t1/doc/3
{
  "title":"北京是中国的首都"
}


# 会查出三篇文档返回 分词查找的
GET t1/doc/_search
{
  "query": {
    "match": {
      "title": "中国"
    }
  }
}



# 短语查询
GET t1/doc/_search
{
  "query": {
    "match_phrase": {
      "title": "中国"
    }
  }
}


# 查不到
GET t1/doc/_search
{
  "query": {
    "match_phrase": {
      "title": "中国世界"
    }
  }
}



# slop默认1
GET t1/doc/_search
{
  "query": {
    "match_phrase": {
      "title": {
        "query": "中国人口",
        "slop": 4
      }
    }
  }
}



# 最左前缀查询
PUT t2/doc/1
{
  "title":"beautful girl"
}

PUT t2/doc/2
{
  "title":"beautful so"
}

GET t2/doc/_search
{
  "query": {
    "match_phrase_prefix": {
      "title": "bea"
    }
  }
}

GET t2/doc/_search
{
  "query": {
    "match_phrase_prefix": {
      "title": "gi"
    }
  }
}

 

 

多字段名查询(multi_match)

 

PUT t3/doc/1
{
  "t1":"beautful girl",
  "t2":"beautful so"
}



GET t3/doc/_search
{
  "query": {
    "multi_match": {
      "query": "beautful",
      "fields": ["t1", "t2"]
    }
  }
}


GET t3/doc/_search
{
  "query": {
    "multi_match": {
      "query": "beautful",
      "fields": ["t1", "t2"],
      "type": "phrase"
    }
  }
}


GET t3/doc/_search
{
  "query": {
    "multi_match": {
      "query": "beautful",
      "fields": ["t1", "t2"],
      "type": "phrase_prefix"
    }
  }
}

 

 

分析器(analyzer-ik)

GET  _analyze
{
  "analyzer": "standard",
  "text": ["中国", "北京"]
}

GET _analyze
{
  "analyzer": "standard",
  "text":"上海自来水来自海上"
}

GET _analyze
{
  "analyzer": "ik_smart",
  "text":"上海自来水来自海上"
}


GET _analyze
{
  "analyzer": "ik_max_word",
  "text":" 上海自来水来自海上"
}

 

 查询结果ik_smart

 

{
  "tokens" : [
    {
      "token" : "上海",
      "start_offset" : 0,
      "end_offset" : 2,
      "type" : "CN_WORD",
      "position" : 0
    },
    {
      "token" : "自来水",
      "start_offset" : 2,
      "end_offset" : 5,
      "type" : "CN_WORD",
      "position" : 1
    },
    {
      "token" : "来自",
      "start_offset" : 5,
      "end_offset" : 7,
      "type" : "CN_WORD",
      "position" : 2
    },
    {
      "token" : "海上",
      "start_offset" : 7,
      "end_offset" : 9,
      "type" : "CN_WORD",
      "position" : 3
    }
  ]
}

ik_max_work

{
  "tokens" : [
    {
      "token" : "上海",
      "start_offset" : 1,
      "end_offset" : 3,
      "type" : "CN_WORD",
      "position" : 0
    },
    {
      "token" : "自来水",
      "start_offset" : 3,
      "end_offset" : 6,
      "type" : "CN_WORD",
      "position" : 1
    },
    {
      "token" : "自来",
      "start_offset" : 3,
      "end_offset" : 5,
      "type" : "CN_WORD",
      "position" : 2
    },
    {
      "token" : "水",
      "start_offset" : 5,
      "end_offset" : 6,
      "type" : "CN_CHAR",
      "position" : 3
    },
    {
      "token" : "来自",
      "start_offset" : 6,
      "end_offset" : 8,
      "type" : "CN_WORD",
      "position" : 4
    },
    {
      "token" : "海上",
      "start_offset" : 8,
      "end_offset" : 10,
      "type" : "CN_WORD",
      "position" : 5
    }
  ]
} 

 了解分析器更多https://www.elastic.co/guide/en/elasticsearch/reference/6.5/index.html

技术分享图片

 

查看索引状态

GET _cat/indices 

结果看起霸气各个索引信息

技术分享图片

 

  

  

 

Elasticsearch的CURD、复杂查询、聚合函数、映射mappings

标签:highlight   ngs   行修改   字段   gif   med   ignore   total   ren   

原文:https://www.cnblogs.com/Alexephor/p/11390966.html

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