kibana操作记录

GET _search
{
  "query": {
    "match_all": {}
  }
}

GET _cat/nodes
GET _cat/health
GET _cat/master
GET _cat/indices
GET _cat/indices?v

# 索引一个文档
PUT /customer/_doc/6
{
  "name":"Haha"
}

# 查看一个文档
GET /customer/_doc/6
GET /customer

# 更新一个文档
POST customer/_update/6/
{
  "doc":{
    "name":"Jane",
    "age":19
  }
}

# 删除一个文档
DELETE customer/_doc/5
# 删除整个索引
DELETE customer
DELETE bank

GET bank/_doc/1
PUT /bank/_doc/_bulk

GET customer/_doc/1
PUT /customer/_bulk
{"index":{"_id":"1"}}
{"name":"John Doe"}
{"index":{"_id":"2"}}
{"name":"Jane"}

# 对整个es操作
PUT /_bulk
{"delete":{"_index":"webset","_id":"123"}}
{"create":{"_index":"webset","_id":"123"}}
{"title":"My first blog post"}
{"index":{"_index":"webset"}}
{"title":"My second blog post"}
{"update":{"_index":"webset","_id":"123"}}
{"doc":{"title":"My updateed blok post"}}

GET _cat/indices?v
DELETE bank

# 通过request uri检索
GET bank/_search?q=*&sort=account_number:desc

GET bank/_search
{
  "query": {
    "match_all": {}
  },
  "sort": [
    {
      "account_number": "desc"
    },
    {
      "balance": "desc"
    }
  ]
}

GET /

GET bank/_search
{
  "query": {
    "match_all": {}
  },
  "sort": [
    {
      "account_number": {
        "order": "desc"
      }
    }
  ]
}

# match
GET bank/_search
{
  "query": {
    "match": {
      "address": "mill lane"
    }
  }
}

# match_phrase
GET bank/_search
{
  "query": {
    "match_phrase": {
      "address": "mill lane"
    }
  }
}
# multi_match 在某个字段里面匹配 分词
GET bank/_search
{
  "query": {
    "multi_match": {
      "query": "mill Movico",
      "fields": ["address", "city"]
    }
  }
}

# bool复合查询
GET bank/_search
{
  "query": {
    "bool": {
      "must": [
        {"match": {
          "gender": "M"
        }},
        {
          "match": {
            "address": "mill"
          }
        }
      ],
      "must_not": [
        {"match": {
          "age": 28
        }}
      ],
      "should": [
        {"match": {
          "lastname": "Holland"
        }}
      ]
    }
  }
}

# filter
# 年龄在18-30
GET bank/_search
{
  "query": {
    "bool": {
      "must": [
        {"range": {
          "age": {
            "gte": 18,
            "lte": 30
          }
        }}
      ]
    }
  }
}
# filter不贡献相关性得分，可以对结果直接过滤
GET bank/_search
{
  "query": {
    "bool": {
      "filter": [
        {"range": {
          "age": {
            "gte": 18,
            "lte": 30
          }
        }}
      ]
    }
  }
}

# 精确匹配字段值
GET bank/_search
{
  "query": {
    "term": {
      "age":28
    }
  }
}
# match_phrase不分词查询
GET bank/_search
{
  "query": {
    "match_phrase": {
      "address": "mill lane"
    }
  }
}
# 使用keyword精确完整匹配
GET bank/_search
{
  "query": {
    "match": {
      "address.keyword": "198 Mill Lane"
    }
  }
}

# 搜索地址中含有mill的所有人的年龄分布terms、平均年龄avg、平均薪资
GET bank/_search
{
  "query": {
    "match": {
      "address": "mill"
    }
  },
  "aggs": {
    "ageAgg": {
      "terms": {
        "field": "age",
        "size": 10
      }
    },
    "ageAvg":{
      "avg": {
        "field": "age"
      }
    },
    "balanceAvg":{
      "avg": {
        "field": "balance"
      }
    }
  },
  "size": 0
}

# 求所有人的年龄分布、各年龄分布的平均值、工资平均值（子聚合）
GET bank/_search
{
  "query": {
    "match_all": {}
  },
  "aggs": {
    "ageAgg": {
      "terms": {
        "field": "age",
        "size": 100
      },
      "aggs": {
        "ageAvg": {
          "avg": {
            "field": "age"
          }
        },
        "balanceAvg":{
          "avg": {
            "field": "balance"
          }
        }
      }
    }
  },
  "size": 0
}

# 求所有人的年龄分布、各年龄分布中M和F的平均薪资及这个年龄段的总体平均薪资
GET bank/_search
{
  "query": {
    "match_all": {}
  },
  "aggs": {
    "ageAgg": {
      "terms": {
        "field": "age",
        "size": 100
      },
      "aggs": {
        "balanceAvg": {
          "avg": {
            "field": "balance"
          }
        },
        "genderAgg": {
          "terms": {
            "field": "gender.keyword",
            "size": 10
          },
          "aggs": {
            "balanceAvg": {
              "avg": {
                "field": "balance"
              }
            }
          }
        }
      }
    }
  },
  "size": 0
}

# mapping 字段的类型，决定了如何处理数据
# 查看映射
GET bank/_mapping
DELETE my_index
# 创建映射 keyword不进行分词，text分词,index默认为true（是否可被检索）
PUT my_index
{
  "mappings": {
    "properties": {
      "age":{"type": "integer"},
      "email":{"type": "keyword"},
      "name":{"type": "text","index": true}
    }
  }
}
GET my_index/
# 添加映射
PUT my_index/_mapping
{
  "properties":{
    "employee_id": {
      "type":"keyword",
      "index":"false"
    }
  }
}
DELETE my_index

GET bank/_mapping

PUT newbank
{
  "mappings": {
    "properties": {
      "account_number": {
        "type": "long"
      },
      "address": {
        "type": "text"
      },
      "age": {
        "type": "integer"
      },
      "balance": {
        "type": "long"
      },
      "city": {
        "type": "keyword"
      },
      "email": {
        "type": "keyword"
      },
      "employer": {
        "type": "keyword"
      },
      "firstname": {
        "type": "keyword"
      },
      "gender": {
        "type": "keyword"
      },
      "lastname": {
        "type": "keyword"
      },
      "state": {
        "type": "text"
      }
    }
  }
}
GET bank/_search
# 迁移数据
POST _reindex
{
  "source": {
    "index": "bank"
  },
  "dest": {
    "index": "newbank"
  }
}

GET newbank/_search

# 分词 无法分割中文
POST _analyze
{
  "analyzer": "standard",
  "text": ["hello你好"]
}
# 使用ik分词器
POST _analyze
{
  "analyzer": "ik_smart",
  "text": ["我是中国人"]
}
POST _analyze
{
  "analyzer": "ik_max_word",
  "text": ["我是中国人"]
}

POST _analyze
{
  "analyzer": "ik_smart",
  "text": ["乔碧萝殿下天大我地大"]
}