Common field types

A: Data Types

　　Core Data Types

　　Complex data types

　　Type-specific data

 

II: Core Data Types

1. String

　　text: Use the whole index files, the type field word by word into the device ⾏

　　keyword: regardless of the word, you can only search the full value of the field

 

2. Numeric

　　long, integer, short, byte, double, float, half_float, scaled_float

 

3. Binary

　　The type of the value field as base64 encoded string through the default is not stored, and not searchable

 

4. Range Type

　　⼀ value range type indicates a range, not ⼀ ⽽ a particular value integer_range, float_range, long_range, double_range, date_range

　　For example age type is integer_range, then the value may be { "gte": 20, "lte": 40}; search "term": { "age": 21} can search for that value

　　Manufacturing data, and then add:

PUT /wba/
{
	"mappings": {
		"properties": {
			"age_range": {
				"type": "integer_range"
			}

		}
	}
}

PUT /wba/_doc/1
{
  "age_range":{
    "gte":10,
    "lte":15
  }
}

PUT /wba/_doc/2
{
  "age_range":{
    "gte":15,
    "lte":20
  }
}

PUT /wba/_doc/3
{
  "age_range":{
    "gte":20,
    "lte":30
  }
}

　　Inquire:

GET /wba/_search
{
  "query": {
    "term":{
      "age_range":15
    }
  }
}

　　effect:

{
  "took" : 247,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 2,
      "relation" : "eq"
    },
    "max_score" : 1.0,
    "hits" : [
      {
        "_index" : "wba",
        "_type" : "_doc",
        "_id" : "1",
        "_score" : 1.0,
        "_source" : {
          "age_range" : {
            "gte" : 10,
            "lte" : 15
          }
        }
      },
      {
        "_index" : "wba",
        "_type" : "_doc",
        "_id" : "2",
        "_score" : 1.0,
        "_source" : {
          "age_range" : {
            "gte" : 15,
            "lte" : 20
          }
        }
      }
    ]
  }
}

　　

5. Type Date

　　Since no Json date type, so es meets the format defined by the format identification strings to determine whether the type of date

　　The default format is: strict_date_optional_time || epoch_millis

　　Format "2022-01-01" "2022/01/01 12:10:30", a string format

　　Number of milliseconds from the start of epoch (1970 1 Month date 0:00) starting

　　The number of seconds starting from the beginning of the era

PUT /cba/
{
	"mappings": {
		"properties": {
			"name": {
				"type": "text"
			},
			"team_name": {
				"type": "text"
			},
			"position": {
				"type": "text"
			},
			"play_year": {
				"type": "long"
			},
			"jerse_no": {
				"type": "keyword"
			},
			"title": {
				"type": "text"
			},
			"date": {
				"type": "date"
			}
		}
	}
}

　　adding data

PUT /cba/_doc/1
{
	"name": "蔡x坤",
	"team_name": "勇⼠",
	"Position": "shooting guard"
	"play_year": 10,
	"jerse_no": "31",
	"Title": "play the most handsome star"
	"date": "2020-01-01"
}

PUT /cba/_doc/2
{
	"Name": "Yang Beyond"
	"team_name": "猴急",
	"Position": "shooting guard"
	"play_year": 10,
	"jerse_no": "32",
	"Title": "play the most adorable star"
	"date": 1610350870
}

　　Direct inquiries:

GET /cba/_search
{
  "query": {
    "term": {
      "date": {
        "value": "2020-01-01"
      }
    }
  }
}

　　result:

{
  "took" : 541,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 1,
      "relation" : "eq"
    },
    "max_score" : 1.0,
    "hits" : [
      {
        "_index" : "cba",
        "_type" : "_doc",
        "_id" : "1",
        "_score" : 1.0,
        "_source" : {
          "name" : "蔡x坤",
          "team_name" : "勇⼠",
          "Position": "shooting guard"
          "play_year" : 10,
          "jerse_no" : "31",
          "Title": "play the most handsome star"
          "date" : "2020-01-01"
        }
      }
    ]
  }
}

　　

Three: complex data types

1. Array types Array

　　No special array type ES ⻔ directly with the [] to the definition,

　　All values ​​in the array must be the same ⼀ data types, do not support mixed data types of array:

　　String array [ "one", "two"] integer array [1, 2] Object Object array [{ "name": "Louis", "age": 18}, { "name": "Daniel", "age ": 17}]

　　⼀ same array can store the same type of data can not coexist, such as [10, "some string"] is wrong

 

2. Object type Object

　　Object types may have internal objects

{
	"name": "吴亦凡",
	"team_name": "湖⼈",
	"Position": "shooting guard"
	"play_year": 10,
	"jerse_no": "33",
	"Title": "Most would rap star"
	"date": "1641886870",
	"array": [
		"one",
		"two"
	],
	"address": {
		"region": "China",
		"location": {
			"province": "GuangDong",
			"city": "GuangZhou"
		}
	}
}

　　Indexing:

{
	"query": {
		"match": {
			"address.region": "china"
		}
	}
}

　　

IV: specific data type

　　You can refer to: https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-types.html#_complex_datatypes