Elasticsearch-基础命令

命令全部在kibana下创建

非结构化创建

PUT创建索引

PUT /user
{
  "settings": {
    "number_of_shards": 1,   
    "number_of_replicas": 0
  }
}
PUT /user/_doc/1
{
  "name":"唐伯虎",
  "age": 30
}

create创建

PUT /user/_create/2
{
  "name":"秋香",
  "age": 30
}

更新

全量更新

PUT /user/_doc/2
{
  "name":"小龙女"
}

局部更新

POST /user/_update/2
{
  "doc": {
   "name":"黄容" 
  }
}

条件查询更新

POST /search_hy_userread/_update_by_query
{
    "query": {
        "term": {
            "chnlid": 6483
        }
    },
    "script": {
        "inline": "ctx._source['status'] = '10'"
    }
}

POST请求/索引/文档名/_update_by_query

主要看一下下面的script
ctx._source[字段名] = “值”;ctx._source[字段名] = “值”;

删除

删除索引

DELETE /user

删除ID

DELETE /user/文档ID

过滤删除

POST smileyan/_delete_by_query
{
  "query": { 
    "match": {
      "num": "39"
    }
  }
}

查询

查询指定ID数据

GET /user/_doc/1

查询所有数据

GET /user/_search

分页查询

GET /user/_search
{
  "query": {
    "match_all": {}
  }
  , "from": 0
  , "size": 20
}

条件查询

GET /user/_search
{
  "query": {
    "match": {
      "name": "龙"
    }
  }

排序查询

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

filter过滤查询

GET /user/_search
{
  "query": {
    "bool": {
      "filter": [
        {"term":{"age":30}}
      ]
    }
  }, 
  "sort": [
    {
      "age": {
        "order": "desc"
      }
    }
  ]
}

match 会匹配包含该字符串的所有记录
term 只匹配等于该字符串的所有记录

分组查询

GET /user/_search
{
  "aggs": {
    "group_by_age": {
      "terms": {
        "field": "age"
      }
    }
  }
}

模糊查询

GET /user/_search
{
  "query": {
    "wildcard": {
      "name": {		#要查询的字段
        "value": "*龙*" #通配符
      }
    }
  }
}

不匹配查询

GET search_hy_gk/_search
{
  "query": {
    "bool": {
      "must_not": [
        {
          "match": {
            "siteid": "4"
          }  
        }
      ]
    }
  }
}

and查询

GET search_hy_hd/_search
{
  "query": {
    "bool": {
      "must": [
            {
              "term": {
                "siteid": 4
              }
            }, 
            {
              "term": {
                "chnldesc": "市长信箱"
              }
            }
        
      ]
    }
   
  }
}

结构化创建索引

创建结构

PUT /user
{
    "settings": {
    "number_of_shards": 1,   
    "number_of_replicas": 0
  }
  , "mappings": {
    "properties": {
      "name":{
        "type": "text"
      },
      "age":{
        "type": "integer"
      }
    }
  }
}

添加数据

PUT /user/_doc/1
{
  "name":"唐伯虎",
  "age": 30
}

分词查看

PUT /movie/_doc/1
{
  "name":"Eating an apple a day & keep the doctor away"
}

GET /movie/_analyze
{
  "field": "name",
  "text":"Eating an apple a day & keep the doctor away"
  
}

自定义打分

GET /movie/_search
{
  "explain": true, 
  "query": {
    "function_score": {
      "query": {
        "multi_match": {
          "query": "steve job",
          "fields": ["title","overview"],
          "operator": "or",
          "type": "most_fields"
        }
      },
      "functions":[
        {
          "field_value_factor":{
            "field":"popularity", 
            "modifier":"log2p",
            "factor":10
          }
        },
        {
          "field_value_factor":{
            "field":"popularity", 
            "modifier":"log2p",
            "factor":10
          }
        }
      ],
      "score_mode": "sum", 
      "boost_mode": "sum"
    }
    
  }
}

聚合查询

外层size为源数据条数
内层size为聚合的数据条数
belongCity为自己的字段名

GET search_dev_item/_search
{
  "size":0,
  "aggs": {
    "group_by_tags": {
      "terms": {
        "field": "belongCity"
        , "size": 20
      }
    }
  }
  
}