One 、restful Style Introduction

Two 、 Index addition, deletion, modification and query

1、 Add index

command ：put The index name / The document type / file id

PUT test/user/1
{
  "name":" Zhang San ",
  "age": 12,
  "dec": " Test it "
}

Fields can also define their own types If you want to add a field type , The operation is as follows

Common types

explain ：

1、put The index name / The document type / file id The document type in 8 Version obsolete The default is _doc type

2、 stay es 2.* There are no these two fields in the version , Only string Field .5.* after , hold string Fields are set to obsolete fields , introduce text,keyword Field

Both of these fields can be used to store strings , But indexing and searching are different

keyword： When storing data , No word segmentation for indexing

text： When storing data , Automatic word segmentation , And generate an index （ This is very intelligent , But it's useless in some fields , So for some fields, use text It wastes space ）.

Strings of all text types can be defined as “text” or “keyword” Two types of . The difference lies in ,text Type will use the default participator to segment words , Of course, you can also specify a specific word breaker for him . If it's defined as keyword type , Then it will not be segmented by default .

2、 Inquire about

command GET Index name

3、 modify

The way 1： Use the add command to overwrite the original content

The way 2：

POST Indexes / The document type / file id/_update

POST test/user/2/_update
{
  "doc":{
    "name":" Li Si 2",
    "age": 12,
    "dec": " Test it ",
    "tags":[" Sing a song ","rap"," tourism "]
  }
}

4、 Delete

adopt DELETE The command determines whether the index or document record is deleted

3、 ... and 、 The document operation

1、 Add document

PUT test/user/1
{
  "name":" Zhang San ",
  "age": 12,
  "dec": " Test it "
}

PUT test/user/2
{
  "name":" Li Si ",
  "age": 12,
  "dec": " Test it ",
  "tags":[" Sing a song ","rap"," tourism "]
}

2、 Modify the document

//put Way update   Every value will be left blank 
PUT test/user/2
{
  "name":" Li Si "
}
// recommend post _update to update 
POST test/user/2/_update
{
  "doc":{
    "name":" Li Si 2",
    "age": 12,
    "dec": " Test it ",
    "tags":[" Sing a song ","rap"," tourism "]
  }
}

3、 Delete the document

DELETE test/user/1

4、 Query the document

adopt id Inquire about

GET test/user/2

Conditions of the query

GET test/user/_search?q=name: Zhang San 

Complex operation query

1、 Fuzzy matching query

GET test/user/_search
{
  "query":{
    "match": {
      "name": " Zhang San "
    }
  }
}

result

{
  "took" : 0,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 3,
      "relation" : "eq"
    },
    "max_score" : 0.847103,
    "hits" : [
      {
        "_index" : "test",
        "_type" : "user",
        "_id" : "3",
        "_score" : 0.847103,
        "_source" : {
          "name" : " Zhang Sansan ",
          "age" : 12,
          "dec" : " Test it "
        }
      },
      {
        "_index" : "test",
        "_type" : "user",
        "_id" : "1",
        "_score" : 0.8259841,
        "_source" : {
          "name" : " Zhang San ",
          "age" : 12,
          "dec" : " Test it "
        }
      },
      {
        "_index" : "test",
        "_type" : "user",
        "_id" : "4",
        "_score" : 0.62774795,
        "_source" : {
          "name" : " Zhang Sanxue java",
          "age" : 12,
          "dec" : " Test it "
        }
      }
    ]
  }
}

hist Is the information of indexes and documents , It's a json, adopt java You can traverse the query related information

2、 Query the specified field, that is, field filtering

Query only name

GET test/user/_search
{
  "query":{
    "match": {
      "name": " Zhang San "
    }
  },
  "_source":["name"]
}

result

{
  "took" : 1,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 3,
      "relation" : "eq"
    },
    "max_score" : 0.847103,
    "hits" : [
      {
        "_index" : "test",
        "_type" : "user",
        "_id" : "3",
        "_score" : 0.847103,
        "_source" : {
          "name" : " Zhang Sansan "
        }
      },
      {
        "_index" : "test",
        "_type" : "user",
        "_id" : "1",
        "_score" : 0.8259841,
        "_source" : {
          "name" : " Zhang San "
        }
      },
      {
        "_index" : "test",
        "_type" : "user",
        "_id" : "4",
        "_score" : 0.62774795,
        "_source" : {
          "name" : " Zhang Sanxue java"
        }
      }
    ]
  }
}

3、 Sorting results

GET test/user/_search
{
  "query":{
    "match": {
      "name": " Zhang San "
    }
  },
  "sort":[
    {
      "age":{
        "order":"desc"
      }
    }
    
  ]
}

4、 Paging narration

from What page begins size How many pieces of data are returned

GET test/user/_search
{
  "query":{
    "match": {
      "name": " Zhang San "
    }
  },
  "from":0,
  "size":3
}

explain

The data subscript is still from 0 At the beginning

5、 Boolean query

must All conditions are similar and

should similar or

must_not similar not

GET test/user/_search
{
  "query":{
    "bool": {
      "must": [
        {
          "match": {
            "name": " Zhang San "
          }
        },
        {
          "match": {
            "age": 22
          }
        }
      ]
    }
  }
}

6、 Use filte Filter

GET test/user/_search
{
  "query":{
    "bool": {
      "should": [
        {
          "match": {
            "name": " Zhang San "
          }
        }
      ],
      "filter": [
        {
          "range": {
            "age": {
              "gte": 10,
              "lte": 18
            }
          }
        }
      ]
    }
  }
}

gt Greater than

lt Less than

gte Greater than or equal to

lte Less than or equal to

7、 Match multiple conditions

GET test/user/_search
{
  "query":{
    "match": {
      "tags": " Sing a song  rap"
    }
  }
}

Multiple conditions are separated by spaces , As long as one of them is satisfied, you can query

8、term Precise query

1. term&match

• term: Precise query , There is no word segmentation for the value of the query , Go straight into the inverted index to match .
• match; Fuzzy query , Word segmentation for the value of the query , The results of the segmentation one by one into the inverted index to match

2. text&keyword

• text: when written , Word segmentation of the written value , And then insert one by one into the inverted index .
• keyword: when written , Insert the entire value into the inverted index , No participle .

3. The example analysis

• The write value is hello world,
• The query value is hello world

// Create index 
PUT /test
{
  "mappings": {
    "properties": {
      "name":{
        "type": "keyword"
      },
      "desc":{
        "type": "text"
      }
    }
  }
}

// Add data 
PUT test/_doc/1
{
  "name":" test  java A no. ",
  "desc":" test  java A no. "
}

//name yes keyword Type of   You can accurately match and query 
GET test/_search
{
  "query": {
    "term": {
      "name": " test  java A no. "
    }
  }
}
//desc yes text The type cannot exactly match the query 
GET test/_search
{
  "query": {
    "term": {
      "desc":" test  java A no. "
    }
  }
}

9、 Precise query with multiple values matching

10、 Highlight query

The default is em label

GET test/_search
{
  "query": {
    "match": {
      "desc": " test "
    }
  },
  "highlight": {
    "fields": {
      "desc": {}
    }
  }
}

How to customize labels

GET test/_search
{
  "query": {
    "match": {
      "desc": " test "
    }
  },
  "highlight": {
    "pre_tags": "<p class='key' style='color:red'>", 
    "post_tags": "</p>", 
    "fields": {
      "desc": {}
    }
  }
}