操作

Kibana写法：
REST /INDEX/TYPE/<ID>

PUT

INDEX：

curl -X PUT "localhost:9200/customer?pretty"
# PS：？pretty的意思是响应，以JSON格式返回

DOCUMENT:

curl -X PUT "localhost:9200/customer/_doc/1?pretty" -H 'Content-Type: application/json' -d'{"name": "John Doe"}'

PUT数据到index，只能新增或覆盖（整体性），不可以部分更改

POST

DOCUMENT：

# 文档修改
curl -X POST "localhost:9200/customer/_doc/1/_update?pretty" -H 'Content-Type: application/json' -d'
{
  "doc": { "name": "Jane Doe", "age": 20 }
}'

# 文档升级
curl -X POST "localhost:9200/customer/_doc/1/_update?pretty" -H 'Content-Type: application/json' -d'
{
  "script" : "ctx._source.age += 5"
}'
# PS：？pretty的意思是响应，以JSON格式返回
# ctx._source引用的是当前源文档

DELETE

INDEX：

curl -X DELETE "localhost:9200/customer?pretty"
# PS：？pretty的意思是响应，以JSON格式返回

DOCUMENT：

curl -X DELETE "localhost:9200/customer/_doc/2?pretty"

GET

INDEX:

# health：集群健康
curl -X GET "localhost:9200/_cat/health?v"
# nodes：节点列表
curl -X GET "localhost:9200/_cat/nodes?v"
# indices：全部索引
curl -X GET "localhost:9200/_cat/indices?v"

# PS：末尾的 ?v 表示显示字段名

status的三种状态：

Green ： everything is good（一切都很好）（所有功能正常）
Yellow ：所有数据都是可用的，但有些副本还没有分配（没有副本）
Red ：有些数据不可用（部分功能正常）

PS：字段中的pri为分片数，rep为副本数在默认情况下，Elasticsearch中的每个索引都分配了5个主分片和1个副本

DOCUMENT：

curl -X GET "localhost:9200/customer/_search?pretty
curl -X GET "localhost:9200/customer/_doc/1?pretty
curl -X GET "localhost:9200/customer/_mapping?pretty
# PS：？pretty的意思是响应，以JSON格式返回

批处理

除了能够索引、更新和删除单个文档之外，Elasticsearch还可以使用_bulk API批量执行上述任何操作。

curl -X POST "localhost:9200/customer/_doc/_bulk?pretty" -H 'Content-Type: application/json' -d'
{"index":{"_id":"1"}}
{"name": "John Doe" }
{"index":{"_id":"2"}}
{"name": "Jane Doe" }
'


curl -X POST "localhost:9200/customer/_doc/_bulk?pretty" -H 'Content-Type: application/json' -d'
{"update":{"_id":"1"}}
{"doc": { "name": "John Doe becomes Jane Doe" } }
{"delete":{"_id":"2"}}
'

mapping

GET movie_index/_mapping/movie

PUT movie_chn
{
  "mappings": {
    "movie":{
      "properties": {
        "id":{
          "type": "long"
        },
        "name":{
          "type": "text"
          , "analyzer": "ik_smart"
        },
        "doubanScore":{
          "type": "double"
        },
        "actorList":{
          "properties": {
            "id":{
              "type":"long"
            },
            "name":{
              "type":"keyword"
            }
          }
        }
      }
    }
  }
}

aliases

GET  _cat/aliases?v

PUT movie_chn_2020
{  "aliases": {
      "movie_chn_2020-query": {}
  }, 
  "mappings": {
    "movie":{
      "properties": {
        "id":{
          "type": "long"
        },
        "name":{
          "type": "text"
          , "analyzer": "ik_smart"
        },
        "doubanScore":{
          "type": "double"
        },
        "actorList":{
          "properties": {
            "id":{
              "type":"long"
            },
            "name":{
              "type":"keyword"
            }
          }
        }
      }
    }
  }
}



POST  _aliases
{
    "actions": [
        { "add":    { "index": "movie_chn_xxxx", "alias": "movie_chn_2020-query" }}
    ]
}
POST  _aliases
{
    "actions": [
        { "remove":    { "index": "movie_chn_xxxx", "alias": "movie_chn_2020-query" }}
    ]
}
POST /_aliases
{
    "actions": [
        { "remove": { "index": "movie_chn_xxxx", "alias": "movie_chn_2020-query" }},
        { "add":    { "index": "movie_chn_yyyy", "alias": "movie_chn_2020-query" }}
    ]
}

template

GET  _cat/templates

GET  _template/template_movie2020
或者
GET  _template/template_movie*

PUT _template/template_movie2020
{
  "index_patterns": ["movie_test*"], #以movie_test开头的都符合               
  "settings": {                                               
    "number_of_shards": 1
  },
  "aliases" : { 
    "{index}-query": {},#索引后面加-query的别名
    "movie_test-query":{}
  },
  "mappings": {                                          
	"_doc": {
      "properties": {
        "id": {
          "type": "keyword"
        },
        "movie_name": {
          "type": "text",
          "analyzer": "ik_smart"
        }
      }
    }
  }
}

查询

curl -X GET "localhost:9200/bank/_search" -H 'Content-Type: application/json' -d'
{
  "query": { "match_all": {} },
  "sort": { "balance": { "order": "desc" } },
  "_source": ["account_number", "balance"],
  "from": 10,
  "size": 10
}
'

query
- match_all
- match_none
- match
  - 字段名
    - query：字段内容
    - oprator：or/and
    - analyzer：”ik_smart”分词器
- match_phrase
  - 字段名
    - query：字段内容
    - analyzer：文本解析器
    - max_expansions：末尾单词可扩展后缀数
- mult_match
- fuzzy
- boosting
  - positive
    - term
    - match
  - negative
    - term
    - match
  - negative_boost(降低系数)
- constant_score
  - filter
  - boost(默认1.0,相关性得分恒定)
- dis_max
  - queries
  - tie_breaker(最高匹配度之外的查询得分系数)
- nested
  - path
  - query
  - score_mode
    - avg
    - max
    - min
    - none
    - sum
  - ignore_unmapped
    - flase
    - true(path找不到的时候不报错)
- bool
  - must
    - match
    - term
  - should
    - match
    - term
  - must_not
    - match
    - range
  - filter
    - term
    - range
      - 大于：gt
      - 小于：lt
      - 大于等于：gte
      - 小于等于：lte
sort
- 字段数组
  - order：desc/asc
aggs
- NAME:分组名
  - avg
  - sum
  - max
  - min
  - stats
  - terms
    - field：字段名(.keyword)
    - order
      - 字段名：desc/asc
    - avg
      - field
    - aggs
    - stats
    - size:默认为10
post_filter
- term
- range
  - 大于：gt
  - 小于：lt
  - 大于等于：gte
  - 小于等于：lte
from
size
_source
highlight
- fields

GET /gmall_sale_detail/doc/_search
{
  "query": {
    "bool": {
      "filter": {
        "term": {
          "date": "2020-04-17"
        }
      },
      "must": [
        {"match": {
          "name": {
            "query": "xiaomi",
            "operator": "and"
          }
        }}
      ]
    }
  },
  "aggs": {
    "groupby_age": {
      "terms": {
        "field": "age",
        "size": 100
      }
    },
    "groupby_gender":{
      "terms": {
        "field": "gender",
        "size": 2
      }
    }
  },
  "from": 0,
  "size": 20,
  "highlight": {
    "fields": {"name":{}}
  }
}

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