kibana7.7.0 Dev Tools基本使用语法

#创建索引
PUT jj
{
    "settings": {
        "number_of_shards": 1,
        "number_of_replicas": 0
      }
}
#查看索引
GET jj

#查询所有索引
GET *
#测试索引是否已存在
HEAD jj
#删除索引
DELETE jj

#添加数据
POST /jj/_doc/
{
    "title":"手机",
    "images":"http://image.jj.com/12479122.jpg",
    "price":2999.00
}

#ES7已经将_mapping类型删除，7.0 开始，就被 Deprecated 了。一个索引只能创建一个 type，值为 _doc

POST /jj/_doc/
{
    "title":"小米手机",
    "images":"http://image.jj.com/12479122.jpg",
    "price":2999.00
}

POST /jj/_doc/
{
    "title":"超米手机",
    "images":"http://image.jj.com/12479122.jpg",
    "price":2899.00,
    "stock": 200,
    "saleable":true
}

POST /jj/_doc/
{
    "title":"小米电视",
    "images":"http://image.jj.com/12479122.jpg",
    "price":3899.00
}

#自定义id
POST /jj/_doc/5
{
    "title":"华为手机",
    "images":"http://image.jj.com/12479122.jpg",
    "price":3999.00
}

#加副标题
POST /jj/_doc/6
{
    "title":"华为电视",
    "subTitle":"小米合作出品",
    "images":"http://image.jj.com/12479122.jpg",
    "price":1999.00
}

POST /jj/_doc/7
{
    "title":"OPPO手机",
    "subTitle":"华为合作出品",
    "images":"http://image.jj.com/12479122.jpg",
    "price":1899.00
}

#删除数据
DELETE jj/_doc/GmSfRnIBr3O86y0Oj9p-

#查询全部
GET jj/_search
{
    "query":{
        "match_all":{}
    }
}


#_index 文档所属索引名称
#_type 文档所属类型名
#_id 文档唯一 ID
#_score 文档相关性打分
#_source 文档 JSON 数据
#_version 文档版本信息
#其中 _type 文档所属类型名，需要关注版本不同之间区别：
#7.0 之前，一个索引可以设置多个 types
#7.0 开始，被 Deprecated 了。一个索引只能创建一个 type，值为 _doc


#求分词（“小米”，“手机”）的并集
GET jj/_search
{
  "query": {
    "match": {
      "title": "小米手机"
    }
  }
}


#求分词（“小米”，“手机”）的交集
GET jj/_search
{
  "query": {
    "match": {
      "title":{
        "query": "小米手机",
         "operator": "and"
      }
    }
  }
}

#求分词（“小米”，“手机”，“电视”）的交集,加最小匹配度
GET jj/_search
{
  "query": {
    "match": {
      "title":{
        "query": "小米手机电视",
         "minimum_should_match": "75%"
      }
    }
  }
}

#多字段查询
GET jj/_search
{
  "query": {
   "multi_match": {
     "query": "小米",
     "fields": ["title","subTitle"]
   }
  }
}


#词条匹配  词条不可分割的
#词条查询和多词条查询使用与一些对查询结果要求精确的数据，如价格等等
#添加了中文就查不到结果，似乎对中文的支持较差
GET jj/_search
{
  "query": {
    "term": {
      "price": {
        "value": "2899.00"
      }
    }
  }
}

#多词条匹配  词条不可分割的
#添加了中文就查不到结果，似乎对中文的支持较差
GET jj/_search
{
  "query": {
    "terms": {
      "price": [
        "2899",
        "2999"
      ]
    }
  }
}

#结果集过滤
GET jj/_search
{
  "query": {
   "multi_match": {
     "query": "小米",
     "fields": ["title","subTitle"]
   }
  }
  , "_source": ["title","price"]
}

#结果集过滤（包含指定字段第二种写法）
GET jj/_search
{
  "query": {
   "multi_match": {
     "query": "小米",
     "fields": ["title","subTitle"]
   }
  }
  , "_source": {
    "includes": ["price","title"]
  }
}

#结果集过滤(不包含指定字段)
GET jj/_search
{
  "query": {
   "multi_match": {
     "query": "小米",
     "fields": ["title","subTitle"]
   }
  }
  , "_source":{
    "excludes": "price"
  }
}


#布尔查询
#match:匹配查询
#must+must 求交集
#should+should 求并集
#mustnot 求非
#其他两个不演示
GET jj/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "title": "小米"
          }
        },{
          "terms": {
            "price": [
              "2999",
              "2699",
              "3899"            ]
          }
        }
      ]
    }
  }
}

#范围查询 
#gte 大于或大于等于  gt:大于
#lte 小于或小于等于  lt:小于
GET jj/_search
{
  "query": {
    "range": {
      "price": {
        "gte": 1999, 
        "lte": 2999   
      }
    }
  }
}


#模糊查询
#fuzziness 支持输入出最大错误数量 默认是0.5，最大是2
#添加了中文就查不到结果，似乎对中文的支持较差
GET jj/_search
{
  "query": {
    "fuzzy": {
      "title": {
        "value": "eppe"
        , "fuzziness": 2
      }
    }
  }
}


#过滤（不影响查询对象得分）
GET jj/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "title": "手机"
          }
        }
      ],"filter": [
        {
          "range": {
            "price": {
              "gte": 1999,
              "lte": 2999
            }
          }
        }
      ]
    }
  }
}


#单字段排序
#降序是desc 升序是asc
GET jj/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "title": "手机"
          }
        }
      ]
    }
  },"sort": [
    {
      "price": {
        "order": "desc"
      }
    }
  ]
}

#多字段排序（在价格相同的情况下再按id排序）
#降序是desc 升序是asc
GET jj/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "title": "手机"
          }
        }
      ]
    }
  },"sort": [
    {
      "price": {
        "order": "desc"
      }
    },
    {
      "_id":{
        "order": "desc"
      }
    }
  ]
}


#聚合

#创建测试索引
PUT cars
{
  "settings": {
    "number_of_shards": 1,
    "number_of_replicas": 0
  }
}

DELETE cars

GET cars

#添加数据
POST /cars/_bulk?pretty
{ "index": {}}
{ "price" : 10000, "color" : "red", "make" : "honda", "sold" : "2014-10-28" }
{ "index": {}}
{ "price" : 20000, "color" : "red", "make" : "honda", "sold" : "2014-11-05" }
{ "index": {}}
{ "price" : 30000, "color" : "green", "make" : "ford", "sold" : "2014-05-18" }
{ "index": {}}
{ "price" : 15000, "color" : "blue", "make" : "toyota", "sold" : "2014-07-02" }
{ "index": {}}
{ "price" : 12000, "color" : "green", "make" : "toyota", "sold" : "2014-08-19" }
{ "index": {}}
{ "price" : 20000, "color" : "red", "make" : "honda", "sold" : "2014-11-05" }
{ "index": {}}
{ "price" : 80000, "color" : "red", "make" : "bmw", "sold" : "2014-01-01" }
{ "index": {}}
{ "price" : 25000, "color" : "blue", "make" : "ford", "sold" : "2014-02-12" }

GET cars

#添加映射
PUT cars/_mapping
{
  "properties": {
    "color": {
      "type": "keyword"
    },
    "make": {
      "type": "keyword"
    }
  }
}

#查看全部数据
GET cars/_search

#根据颜色聚合
#aggs里第一个是聚合名称，随便写
#第二个是聚合类型，根据需求划分
#加size是设置结果集的数量
GET cars/_search
{
  "size": 0, 
  "aggs": {
    "popular_color": {
      "terms": {
        "field": "color"
      }
    }
  }
}

#计算每种颜色的平均价格，（嵌套度量）
GET cars/_search
{
  "size": 0, 
  "aggs": {
    "popular_color": {
      "terms": {
        "field": "color"
      },
      "aggs": {
        "price_avg": {
          "avg": {
            "field": "price"
          }
        }
      }
    }
  }
}

#计算每种颜色的平均价格及每种颜色的制造商(桶嵌套桶)
GET cars/_search
{
  "size": 0, 
  "aggs": {
    "popular_color": {
      "terms": {
        "field": "color"
      },
      "aggs": {
        "price_avg": {
          "avg": {
            "field": "price"
          }
        },
        "make":{
          "terms": {
            "field": "make"
          }
        }
      }
    }
  }
}

#阶梯分桶(没一价格段的商品数量)
#min_doc_count 设置最小数量的段才显示
GET cars/_search
{
  "size": 0
  , "aggs": {
    "price_ histogram": {
      "histogram": {
        "field": "price",
        "interval": 5000
        , "min_doc_count": 1
      }
    }
  }
}