ElasticSearch 6.7.1操作纪录

2024-03-02 14:41:40

以下操作均在 6.7.1版本中正常

文档

https://www.elastic.co/guide/cn/elasticsearch/guide/current/index.html《Elasticsearch 权威指南》中文版(文档已经过时，只是因为是英文，方便快速入门)
https://www.elastic.co/guide/en/elasticsearch/reference/6.7/getting-started.html 6.7的英文文档

basic

GET /?pretty
curl 'http://localhost:9200/?pretty'

正常返回类似如下结果

{
  "name" : "id_Cdrf",
  "cluster_name" : "docker-cluster",
  "cluster_uuid" : "OVVjOYXmRLmH0_x6QnS6sw",
  "version" : {
    "number" : "6.7.1",
    "build_flavor" : "default",
    "build_type" : "docker",
    "build_hash" : "2f32220",
    "build_date" : "2019-04-02T15:59:27.961366Z",
    "build_snapshot" : false,
    "lucene_version" : "7.7.0",
    "minimum_wire_compatibility_version" : "5.6.0",
    "minimum_index_compatibility_version" : "5.0.0"
  },
  "tagline" : "You Know, for Search"
}

操作记录

所有操作都基于数据集合 s_flights ,详情查看文件 es-operation-datasource.md 。

默认查询全部实际上只返回前10条数据

数据说明

航班信息（注释后面是mapping的类型）：

{
  "FlightNum" : "EN9FHUD", //航班编号 keyword
  "DestCountry" : "CA", //目的地国家名 keyword
  "OriginWeather" : "Rain",//出发地天气 keyword
  "OriginCityName" : "Detroit", // 出发地城市名 keyword
  "AvgTicketPrice" : 798.6925673856011, // 平均机票价格 float
  "DistanceMiles" : 1586.2909176475928,//出发地到目的地的英里数 float
  "FlightDelay" : true, //航班是否延迟 boolean
  "DestWeather" : "Rain", //目的地天气 keyword
  "Dest" : "Edmonton International Airport",//目的地机场 keyword
  "FlightDelayType" : "Security Delay", // 航班延迟类型 keyword
  "OriginCountry" : "US", //出发地国家名 keyword
  "dayOfWeek" : 6, //星期 integer
  "DistanceKilometers" : 2552.8877705706477, //出发地到目的地的公里数 float
  "timestamp" : "2019-04-28T06:25:17", //时间戳 date
  "DestLocation" : {//目的地坐标 geo_point
    "lat" : "53.30970001", //纬度
    "lon" : "-113.5800018" //经度
  },
  "DestAirportID" : "CYEG", //目的地机场ID keyword
  "Carrier" : "Kibana Airlines", //航空公司名 keyword
  "Cancelled" : false, //是否取消航班 boolean
  "FlightTimeMin" : 451.3759823515883, //航班飞行最小分钟数 float
  "Origin" : "Detroit Metropolitan Wayne County Airport",//出发地机场 keyword
  "OriginLocation" : {//出发地坐标 geo_point
    "lat" : "42.21239853",//纬度
    "lon" : "-83.35340118"//经度
  },
  "DestRegion" : "CA-AB",//目的地区域 keyword
  "OriginAirportID" : "DTW", //出发地的机场ID keyword
  "OriginRegion" : "US-MI", //出发地区域 keyword
  "DestCityName" : "Edmonton", //目的地城市名称 keyword
  "FlightTimeHour" : 7.522933039193138, //航班飞行小时数 keyword
  "FlightDelayMin" : 255 //航班延迟最小分钟数 integer
}

操作记录

由于数据体数据太多，所以需要对数据返回进行如下方式过滤

如下只返回定义的五个属性

轻量查询方式：

GET /s_flights/_doc/_search?_source=FlightNum,Origin,OriginCountry,Dest,DestCountry

请求体方式：

GET /s_flights/_doc/_search
{
  "_source": [
    "FlightNum",
    "Origin",
    "OriginCountry",
    "Dest",
    "DestCountry"
  ]
}

添加数据

mapping定义的数据不需要所有都填写

添加单独一条数据

PUT /s_flights/_doc/100
{
  "FlightNum": "C12345A",
  "Origin": "重庆",
  "Dest": "北京"
}

添加单独一条数据自动生成 id

POST /s_flights/_doc/
{
  "FlightNum": "C12345A",
  "Origin": "重庆",
  "Dest": "北京"
}

确保是添加新文档，而不是更新文档

PUT /s_flights/_doc/BxOIj2oBXEJSGxQ5yn4k?op_type=create
{
  "FlightNum": "C12345A",
  "Origin": "重庆",
  "Dest": "北京"
}
PUT /s_flights/_doc/BxOIj2oBXEJSGxQ5yn4k/_create
{
  "FlightNum": "C12345A",
  "Origin": "重庆",
  "Dest": "北京"
}

doc as upsert

POST /s_flights/_doc/1
{
  "doc": {
    "FlightNum": "C123333345A",
    "Origin": "重222庆",
    "Dest": "北京",
    "bb":11
  },
  "doc_as_upsert": true
}

存在属性再更新就会返回 noop（no operation）操作

POST /s_flights/_doc/1/_update
{
   "doc" : {
      "moreInfo":{
        "counter":1
      }
   }
}

批量插入数据

POST _bulk
{"create":{"_index":"s_flights","_type":"_doc","_id":"101"}}
{"FlightNum":"C12345B","Origin":"重庆","Dest":"上海"}
{"create":{"_index":"s_flights","_type":"_doc","_id":"102"}}
{"FlightNum":"C12345C","Origin":"重庆","Dest":"武汉"}

删除数据

删除数据_id为100的

DELETE /s_flights/_doc/100

批量删除数据

POST _bulk
{"delete":{"_index":"s_flights","_type":"_doc","_id":"101"}}
{"delete":{"_index":"s_flights","_type":"_doc","_id":"102"}}

修改(更新)数据

https://www.elastic.co/guide/en/elasticsearch/reference/6.7/docs-update.html

更新或添加数据

POST /s_flights/_doc/1/_update
{
   "doc" : {
      "moreInfo":{
        "tags" : [ "airline","flight","aeroplane","airplane"],
        "counter":1,
        "memo_1":""
      }
   }
}
GET /s_flights/_doc/1?_source=moreInfo

脚本方式更新字段值：

POST s_flights/_doc/1/_update
{
   "script" : "ctx._source.moreInfo.counter+=1"
}
POST s_flights/_doc/1/_update
{
   "script" : "ctx._source.moreInfo.memo_1='good time'"
}
GET /s_flights/_doc/1?_source=moreInfo

如果数据不存在，则先使用upsert创建文档，然后再次执行，则会执行脚本进行递增。

DELETE s_flights/_doc/1
POST s_flights/_doc/1/_update
{
  "script": {
    "source": "ctx._source.view_counter += params.count",
    "lang": "painless",
    "params": {
      "count": 1
    }
  },
  "upsert": {
    "moreInfo": {
      "tags": [
        "airline",
        "flight",
        "aeroplane",
        "airplane"
      ],
      "counter": 1,
      "memo_1": ""
    },
    "view_counter": 1
  }
}
GET /s_flights/_doc/1

flag scripted_upsert 的作用，如果数据不存在，则先使用upsert创建文档，然后执行脚本

POST s_flights/_doc/1/_update
{
  "scripted_upsert":true,
  "script": {
    "source": "ctx._source.view_counter += params.count",
    "lang": "painless",
    "params": {
      "count": 1
    }
  },
  "upsert": {
    "moreInfo": {
      "tags": [
        "airline",
        "flight",
        "aeroplane",
        "airplane"
      ],
      "counter": 1,
      "memo_1": ""
    },
    "view_counter": 1
  }
}
GET /s_flights/_doc/1

通过scripts更新文档数据

POST s_flights/_doc/1/_update
{
  "script": {
    "source": "ctx._source.moreInfo.counter_status = ctx._source.moreInfo.counter === params.count ? 'isEnough' : params.count",
    "params": {
      "count": 10
    },
    "lang": "painless"
  }
}
GET /s_flights/_doc/1?_source=moreInfo

查询数据

https://www.elastic.co/guide/en/elasticsearch/reference/current/term-level-queries.html

https://www.cnblogs.com/ghj1976/p/5293250.html

https://donlianli.iteye.com/blog/2094305

https://blog.csdn.net/weixin_43430036/article/details/83272018

轻量查询

获取所有数据(默认只查询10条出来)

GET /s_flights/_search?&_source=FlightNum,Origin,OriginCountry,Dest,DestCountry

获取id为1的数据

GET /s_flights/_doc/1?&_source=FlightNum,Origin,OriginCountry,Dest,DestCountry

获取数据请求头，返回的是状态码，以此判断数据是否存在

HEAD /s_flights/_doc/1

查询出发国家是US的数据

GET /s_flights/_search?q=OriginCountry:US&_source=FlightNum,Origin,OriginCountry,Dest,DestCountry

查询出发国家是US CN的数据

GET /s_flights/_search?q=OriginCountry:US+CN&_source=FlightNum,Origin,OriginCountry,Dest,DestCountry

查询mapping

GET /s_flights/_mapping/_doc

查看集群健康

GET /_cluster/health

通配符查询(wildcards query)

https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-wildcard-query.html#query-dsl-wildcard-query

查询出发地国家名以C开头的

GET /s_flights/_search
{
  "_source": [
    "FlightNum",
    "Origin",
    "OriginCountry",
    "Dest",
    "DestCountry"
  ],
  "query": {
    "wildcard": {
      "OriginCountry": {
        "value": "C*"
      }
    }
  }
}

查询航班编号值是 F开头 M9结尾的

GET /s_flights/_search
{
  "_source": [
    "FlightNum",
    "Origin",
    "OriginCountry",
    "Dest",
    "DestCountry"
  ],
  "query": {
    "wildcard": {
      "FlightNum": {
        "value": "F????M9"
      }
    }
  }
}

短语查询(term query)

https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-term-query.html

查询 FlightNum 为 FFEVPM9的结果

GET /s_flights/_search
{
  "_source": [
    "FlightNum",
    "Origin",
    "OriginCountry",
    "Dest",
    "DestCountry"
  ],
  "query": {
    "term": {
      "FlightNum": {
        "value": "FFEVPM9"
      }
    }
  }
}

多短语查询(terms query)

查询 FlightNum 为 6DJ0DZM ILXJVIF 的结果

GET /s_flights/_search
{
  "_source": [
    "FlightNum",
    "Origin",
    "OriginCountry",
    "Dest",
    "DestCountry"
  ],
  "query": {
    "terms": {
      "FlightNum": ["6DJ0DZM","ILXJVIF"]
    }
  }
}

term set query

https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-terms-set-query.html

(范围查询)range query

查询飞行距离在100km(包含100km)到200km(包含200km)之间的结果

GET /s_flights/_search
{
  "_source": [
    "FlightNum",
    "DistanceKilometers"
  ],
  "query": {
    "range": {
      "DistanceKilometers": {
        "gte": 100,
        "lte": 200
      }
    }
  }
}

exists query

prefix query

regexp query

fuzzy query

GET /s_flights/_search
{
  "_source": [
    "FlightNum",
    "Origin"
  ],
  "query": {
    "fuzzy": {
      "Origin": "bai"
    }
  }
}

type query

ids query

请求体查询（ad-hoc）

查询所有数据

GET /s_flights/_search
{
  "_source": [
    "FlightNum",
    "Origin",
    "OriginCountry",
    "Dest",
    "DestCountry"
  ],
  "query": {
    "match_all": {}
  }
}

上面的等价于

GET /s_flights/_search?&_source=FlightNum,Origin,OriginCountry,Dest,DestCountry

匹配查询出发国家是US的数据

GET /s_flights/_search
{
  "_source": [
    "FlightNum",
    "Origin",
    "OriginCountry",
    "Dest",
    "DestCountry"
  ],
  "query": {
    "match": {
      "OriginCountry": "US"
    }
  }
}

查询出发地包含Shanghai Tokyo的数据 (Origin是text类型，可以进行分词查询)

GET /s_flights/_search
{
  "_source": [
    "FlightNum",
    "Origin",
    "OriginCountry",
    "Dest",
    "DestCountry"
  ],
  "query": {
    "match": {
      "Origin": "Shanghai Tokyo"
    }
  }
}

匹配查询出发地包含Shanghai Tokyo的数据 (Origin此处被当做是keyword类型，不可以进行分词查询，查询不出结果)

GET /s_flights/_search
{
  "_source": [
    "FlightNum",
    "Origin",
    "OriginCountry",
    "Dest",
    "DestCountry"
  ],
  "query": {
    "match": {
      "Origin.keyword": "Shanghai Tokyo"
    }
  }
}

匹配查询出发地包含Shanghai Tokyo的数据 (Origin此处被当做是keyword类型，不可以进行分词查询)，可以对整个词作为关键字进行查询，有结果

GET /s_flights/_search
{
  "_source": [
    "FlightNum",
    "Origin",
    "OriginCountry",
    "Dest",
    "DestCountry"
  ],
  "query": {
    "match": {
      "Origin.keyword": "Shanghai Hongqiao International Airport"
    }
  }
}

匹配短语查询出发地包含Shanghai Hongqiao International的数据 (Origin是text类型，可以进行分词查询)

正常查询，查出一堆数据

GET /s_flights/_search
{
  "_source": [
    "FlightNum",
    "Origin",
    "OriginCountry",
    "Dest",
    "DestCountry"
  ],
  "query": {
    "match": {
      "Origin": "Shanghai Hongqiao International"
    }
  }
}

匹配短语查询，只能查出一条

GET /s_flights/_search
{
  "_source": [
    "FlightNum",
    "Origin",
    "OriginCountry",
    "Dest",
    "DestCountry"
  ],
  "query": {
    "match_phrase": {
      "Origin": "Shanghai Hongqiao International"
    }
  }
}

高亮查询，匹配短语查询出发地包含Shanghai Hongqiao International的数据 (Origin是text类型，可以进行分词查询)，并对查询结果进行高亮(即对返回结果添加额外的标签)

GET /s_flights/_search
{
  "_source": [
    "FlightNum",
    "Origin",
    "OriginCountry",
    "Dest",
    "DestCountry"
  ],
  "query": {
    "match": {
      "Origin": "Shanghai Hongqiao International"
    }
  }
  , "highlight": {
    "fields": {
      "Origin":{}
    }
  }
}

自定义highlight 标签

GET /s_flights/_search
{
  "_source": [
    "FlightNum",
    "Origin",
    "OriginCountry",
    "Dest",
    "DestCountry"
  ],
  "query": {
    "match": {
      "Origin": "Shanghai Hongqiao International"
    }
  }
  , "highlight": {
    "fields": {
      "Origin":{
        "pre_tags": "<span class='highlight '>",
        "post_tags": "</span>"
      }
    }
  }
}

高亮标签设置内部优先。

GET /s_flights/_search
{
  "_source": [
    "FlightNum",
    "Origin",
    "OriginCountry",
    "Dest",
    "DestCountry"
  ],
  "query": {
    "match": {
      "Origin": "Shanghai Hongqiao International"
    }
  },
  "highlight": {
    "fields": {
      "Origin": {
        "pre_tags": "<span class='hightlight-origin'>",
        "post_tags": "</span>"
      }
    },
    "pre_tags": "<span class='hightlight'>",
    "post_tags": "</span>"
  }
}

查询出发国家是US，同时航班飞行最小分钟数小于100分钟的数据

GET /s_flights/_search
{
  "_source": [
    "FlightNum",
    "Origin",
    "OriginCountry",
    "Dest",
    "DestCountry"
  ],
  "query": {
    "bool": {
      "must": {
        "match": {
          "OriginCountry": "US"
        }
      },
      "filter": {
        "range": {
          "FlightTimeMin": {
            "lt": 100
          }
        }
      }
    }
  }
}

查询 OriginCountry 为USA和UK的航班记录

GET /s_flights/_search?q=OriginCountry:US+CA

GET /s_flights/_search
{
  "query": {
    "terms": {
      "OriginCountry": ["US","CA"]
    }
  }
}

查询结果只显示字段 OriginCountry 和 DestCountry

GET /s_flights/_search
{
  "_source": {
        "includes": [ "OriginCountry", "DestCountry" ]
    },
  "query": {
    "match_all": {}
  }
}

GET /s_flights/_search
{
  "_source":[ "OriginCountry", "DestCountry" ],
  "query": {
    "match_all": {}
  }
}

查询结果只显示字段 OriginCountry

GET /s_flights/_search
{
  "_source":"OriginCountry",
  "query": {
    "match_all": {}
  }
}

不返回 _source

GET /s_flights/_search
{
  "_source":false,
  "query": {
    "match_all": {}
  }
}

查询出出发地是"US","NL", "JP" 的航班统计同时查询出每个出发地的不同目的地航班统计

GET /s_flights/_search
{
  "_source":false,
  "query": {
    "terms": {
      "OriginCountry": [
        "US",
        "NL",
        "JP",
        "CN"
      ]
    }
  },
  "aggs": {
    "all_origin": {
      "terms": {
        "field": "OriginCountry"
      },
      "aggs": {
        "all_dest": {
          "terms": {
            "field": "DestCountry"
          }
        }
      }
    }
  }
}

查询出出发地是"US","NL", "JP" 的航班统计同时查询出每个出发地的不同目的地航班统计,同时统计最小、最大和平均里程数

GET /s_flights/_search
{
  "_source": "OriginCountry", 
  "query": {
    "terms": {
      "OriginCountry": [
        "US",
        "NL",
        "JP",
        "CN"
      ]
    }
  },
  "aggs": {
    "all_origin": {
      "terms": {
        "field": "OriginCountry"
      },
      "aggs": {
        "all_dest": {
          "terms": {
            "field": "DestCountry"
          }
        },
        "minDistanceKilometers": {
          "min": {
            "field": "DistanceKilometers"
          }
        },
        "maxDistanceKilometers": {
          "max": {
            "field": "DistanceKilometers"
          }
        },
        "avgDistanceKilometers": {
          "avg": {
            "field": "DistanceKilometers"
          }
        }
      }
    },
    "minDistanceKilometers": {
      "min": {
        "field": "DistanceKilometers"
      }
    },
    "maxDistanceKilometers": {
      "max": {
        "field": "DistanceKilometers"
      }
    },
    "avgDistanceKilometers": {
      "avg": {
        "field": "DistanceKilometers"
      }
    }
  }
}

查询出发地和目的地都是US的数据

GET /s_flights/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "OriginCountry": "US"
          }
        },
        {
          "match": {
            "DestCountry": "US"
          }
        }
      ]
    }
  }
}

查询无延机航班，时间范围在 2019-04-28 一天内，同时出发地国家为 "US","NL", "JP" 的航班统计同时查询出每个出发地的不同目的地航班统计

GET /s_flights/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "bool": {
            "must": [
              {
                "match": {
                  "FlightDelayType": "No Delay"
                }
              }
            ]
          }
        },
        {
          "range": {
            "timestamp": {
              "gte": "2019-04-28 00:00:00",
              "lte": "2019-04-29 00:00:00",
              "time_zone": "+08:00",
              "format": "yyyy-MM-dd HH:mm:ss"
            }
          }
        },
        {
          "terms": {
            "OriginCountry": [
              "US",
              "NL",
              "JP"
            ]
          }
        }
      ]
    }
  },
  "aggs": {
    "all_origin": {
      "terms": {
        "field": "OriginCountry"
      },
      "aggs": {
        "all_dest": {
          "terms": {
            "field": "DestCountry"
          }
        }
      }
    }
  }
}

查询匹配天气，匹配机场id ，最小飞行时间范围，不匹配 DestCountry I 开头 E结尾的

注意：官方数据这个里面如小时数是keyword类型，也就是string类型，所以会导致查询范围会出现有时候又数据，有时候没有数据，range应该针对number date。

GET /s_flights/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "bool": {
            "should": [
              {
                "match_phrase": {
                  "DestWeather": "Clear"
                }
              },
              {
                "match_phrase": {
                  "DestWeather": "Sunny"
                }
              }
            ]
          }
        },
        {
          "terms": {
            "OriginAirportID": [
              "SHA",
              "DWC"
            ]
          }
        },
        {
          "range": {
            "FlightTimeMin": {
              "gte": 100,
              "lte": 900
            }
          }
        }
      ],
      "must_not": [
        {
          "wildcard": {
            "DestCountry": "*E"
          }
        },
        {
          "wildcard": {
            "DestCountry": {
              "value": "I*"
            }
          }
        }
      ]
    }
  }
}

_mget查询

获取id 为 1 2的数据

POST /s_flights/_doc/_mget
{
  "ids":[1,2]
}

获取id 为 1 3的数据

POST /s_flights/_doc/_mget
{
  "docs": [
    {
      "_id": 1
    },
    {
      "_id": 3
    }
  ]
}

官方教程4 分页

GET /_search

GET /_search?timeout=10ms

# 在所有的索引中搜索所有的类型
GET /_search

# 在 gb 索引中搜索所有的类型
GET /gb/_search

# 在 gb 和 us 索引中搜索所有的文档
GET /gb,us/_search

# 在任何以 g 或者 u 开头的索引中搜索所有的类型
GET /g*,u*/_search

#在 gb 索引中搜索 user 类型
/gb/user/_search

#在 gb 和 us 索引中搜索 user 和 tweet 类型
/gb,us/user,tweet/_search

#在所有的索引中搜索 user 和 tweet 类型
/_all/user,tweet/_search


GET /_search?size=5
GET /_search?size=5&from=5
GET /_search?size=5&from=10

和 SQL 使用 LIMIT 关键字返回单个 page 结果的方法相同，Elasticsearch 接受 from 和 size 参数：

# 显示应该返回的结果数量，默认是 10
size

# 显示应该跳过的初始结果数量，默认是 0
from

在分布式系统中深度分页

理解为什么深度分页是有问题的，我们可以假设在一个有 5 个主分片的索引中搜索。当我们请求结果的第一页（结果从 1 到 10 ），每一个分片产生前 10 的结果，并且返回给 协调节点 ，协调节点对 50 个结果排序得到全部结果的前 10 个。

现在假设我们请求第 1000 页--结果从 10001 到 10010 。所有都以相同的方式工作除了每个分片不得不产生前10010个结果以外。然后协调节点对全部 50050 个结果排序最后丢弃掉这些结果中的 50040 个结果。

可以看到，在分布式系统中，对结果排序的成本随分页的深度成指数上升。这就是 web 搜索引擎对任何查询都不要返回超过 1000 个结果的原因。

https://www.elastic.co/guide/cn/elasticsearch/guide/current/pagination.html

批量写入操作 `_bulk`

https://blog.csdn.net/u010454030/article/details/79872003

bulk api可以在单个请求中一次执行多个索引或者删除操作，使用这种方式可以极大的提升索引性能。

批量操作数据需要在一行

两行数据构成了一次操作，第一行是操作类型可以index，create，update，或者delete，第二行就是我们的可选的数据体，使用这种方式批量插入的时候，我们需要设置的它的Content-Type为application/json。

针对不同的操作类型，第二行里面的可选的数据体是不一样的，如下：

（1）index 和 create 第二行是source数据体
（2）delete 没有第二行
（3）update 第二行可以是partial doc，upsert或者是script

我们可以将我们的操作直接写入到一个文本文件中，然后使用curl命令把它发送到服务端：

curl -s -H "Content-Type: application/x-ndjson" -XPOST localhost:9200/_bulk --data-binary "@requests"; echo

https://www.elastic.co/guide/cn/elasticsearch/guide/current/_Document_Metadata.html

https://www.cnblogs.com/wangzhuxing/p/9351245.html

https://blog.51cto.com/13630803/2162641?source=dra

https://elasticsearch.cn/question/5340

https://blog.csdn.net/jianjun200607/article/details/51262976/

https://blog.csdn.net/huwei2003/article/details/47004745

https://www.cnblogs.com/wulaiwei/p/9319821.html

https://www.elastic.co/guide/en/elasticsearch/client/net-api/current/elasticsearch-net-getting-started.html

https://www.cnblogs.com/wulaiwei/p/9319821.html

https://www.cnblogs.com/Angle-Louis/p/4218678.html

码农公寓

文档

basic

操作记录

数据说明

操作记录

添加数据

删除数据

修改(更新)数据

查询数据

轻量查询

通配符查询(wildcards query)

短语查询(term query)

多短语查询(terms query)

term set query

(范围查询)range query

exists query

prefix query

regexp query

fuzzy query

type query

ids query

请求体查询（ad-hoc）

_mget查询

官方教程4 分页

批量写入操作 _bulk

相关文章

批量写入操作 `_bulk`