1、简介

Elastic 官方网站

Elastic 中文社区

Elasticsearch: 权威指南

2、使用

2.1、创建索引

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{
    "aliases": {
        "customer_remind_alias_pre": {}
    },
    "mappings": {
        "properties": {
            "carExclusiveConsultantsId": {
                "type": "keyword"
            },
            "carId": {
                "type": "keyword"
            },
            "carIdOwnOrg": {
                "type": "keyword"
            },
            "car_exclusive_consultants_id": {
                "type": "keyword"
            },
            "cardEntityName": {
                "type": "keyword"
            },
            "consumeAgainDate": {
                "type": "date",
                "ignore_malformed": true,
                "format": "yyyy-MM-dd"
            },
            "consumeAgainState": {
                "type": "keyword"
            },
            "couponSendState": {
                "type": "keyword"
            },
            "creationtime": {
                "type": "date",
                "ignore_malformed": true,
                "format": "yyyy-MM-dd"
            },
            "customerCellPhone": {
                "type": "text",
                "analyzer": "ngram_11_analyzer"
            },
            "customerId": {
                "type": "keyword"
            },
            "customerName": {
                "type": "text",
                "fields": {
                    "raw": {
                        "type": "keyword"
                    }
                },
                "analyzer": "ngram_10_analyzer"
            },
            "finishTime": {
                "type": "date",
                "ignore_malformed": true,
                "format": "yyyy-MM-dd"
            },
            "fullCarNo": {
                "type": "text",
                "fields": {
                    "raw": {
                        "type": "keyword"
                    }
                },
                "analyzer": "ngram_8_analyzer"
            },
            "groupId": {
                "type": "keyword"
            },
            "idOwnOrg": {
                "type": "keyword"
            },
            "isDeleted": {
                "type": "keyword"
            },
            "lastDetectionItemCode": {
                "type": "keyword"
            },
            "lastDetectionServiceIdList": {
                "type": "keyword"
            },
            "lastInsuranceCompanyId": {
                "type": "text",
                "fields": {
                    "keyword": {
                        "type": "keyword",
                        "ignore_above": 256
                    }
                }
            },
            "lastInsuranceCompanyId ": {
                "type": "keyword"
            },
            "lastInsuranceOrgId": {
                "type": "text",
                "fields": {
                    "keyword": {
                        "type": "keyword",
                        "ignore_above": 256
                    }
                }
            },
            "lastInsuranceOrgId ": {
                "type": "keyword"
            },
            "lastServiceDate": {
                "type": "date",
                "ignore_malformed": true,
                "format": "yyyy-MM-dd"
            },
            "lastServiceOrg": {
                "type": "keyword"
            },
            "operatorId": {
                "type": "keyword"
            },
            "operatorProcessState": {
                "type": "keyword"
            },
            "operatorSendState": {
                "type": "keyword"
            },
            "phoneSendDate": {
                "type": "date",
                "ignore_malformed": true,
                "format": "yyyy-MM-dd"
            },
            "phoneSendState": {
                "type": "keyword"
            },
            "picSendState": {
                "type": "keyword"
            },
            "pkId": {
                "type": "keyword"
            },
            "remindDate": {
                "type": "date",
                "ignore_malformed": true,
                "format": "yyyy-MM-dd"
            },
            "remindRuleId": {
                "type": "keyword"
            },
            "remindType": {
                "type": "keyword"
            },
            "smsSendDate": {
                "type": "date",
                "ignore_malformed": true,
                "format": "yyyy-MM-dd"
            },
            "smsSendState": {
                "type": "keyword"
            },
            "sourceType": {
                "type": "keyword"
            },
            "state": {
                "type": "keyword"
            },
            "wechatFollower": {
                "type": "keyword"
            },
            "wechatSendDate": {
                "type": "date",
                "ignore_malformed": true,
                "format": "yyyy-MM-dd"
            },
            "wechatSendState": {
                "type": "keyword"
            }
        },
        "settings": {
            "index": {
                "max_ngram_diff": "19",
                "analysis": {
                    "analyzer": {
                        "ngram_10_analyzer": {
                            "tokenizer": "ngram_10_tokenizer"
                        },
                        "ngram_11_analyzer": {
                            "tokenizer": "ngram_11_tokenizer"
                        },
                        "ngram_8_analyzer": {
                            "tokenizer": "ngram_8_tokenizer"
                        }
                    },
                    "tokenizer": {
                        "ngram_10_tokenizer": {
                            "type": "ngram",
                            "min_gram": "1",
                            "max_gram": "20"
                        },
                        "ngram_11_tokenizer": {
                            "type": "ngram",
                            "min_gram": "1",
                            "max_gram": "11"
                        },
                        "ngram_8_tokenizer": {
                            "type": "ngram",
                            "min_gram": "1",
                            "max_gram": "8"
                        }
                    }
                }
            }
        }
    }
}

2.2、状态查询

2.2.1、集群的健康状态

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GET _cat/health

2.2.2、节点状态

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GET _cat/nodes

2.2.3、 查看所有索引

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GET _cat/indices

2.3、常用查询

2.3.1、查询数量

  • track_total_hits=true不然超过1万，数量只给10000
  • customer_remind为索引名称
  • 限制size=0,不反回结果,只返回数量
  • should 相当于mysql中的 or
  • filter 过滤 可以理解成mysql中的 and
  • term 精确匹配 相当于mysql中的 =
  • terms 相当于mysql中的 in
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POST customer_remind/_search?track_total_hits=true
{
  "query": {
    "bool": {
      "should": [
       {
          "terms": {
            "carIdOwnOrg": [
              "15519724471253495810",
              "15519724471253495811"
            ]
          }
        },
        {
          "terms": {
            "idOwnOrg": [
              "15519724471253495810"
            ]
          }
        }
      ],
      "filter": [
        {
          "terms": {
            "state": [
              "0",
              "2"
            ]
          }
        },
        {
          "term": {
            "groupId": "15519724471253495812"
          }
        }
      ]
    }
  },
  "size": 0
}

2.3.2、查询列表

  • customer_remind为索引名称
  • must 必须匹配
  • multi_match 多个字段模糊查询
  • query对应查询的关键词
  • from、size对应分页参数
  • sort 排序参数
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POST customer_remind/_search
{
  "query": {
    "bool": {
      "must": [
          {
            "multi_match": {
              "query": "16605115059",
              "analyzer": "ik_smart",
              "type": "best_fields",
              "operator": "and",
              "fields": ["customerName","customerCellPhone"]
            }
          }
      ]
    }
  },
  "from": 0,
  "size": 10,
  "sort": {
    "creationtime": {
      "order": "desc"
    }
  }
}
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "customerName": {
              "analyzer": "ik_smart",
              "query": "AAA",
              "operator": "and"
            }
          }
        },
        {
          "match": {
            "customerCellPhone": {
              "analyzer": "ik_smart",
              "query": "A",
              "operator": "and"
            }
          }
        },
        {
          "match": {
            "fullCarNo": {
              "analyzer": "ik_smart",
              "query": "A",
              "operator": "and"
            }
          }
        }
      ]
    }
  },
  "from": 0,
  "size": 10,
  "sort": {
    "creationtime": {
      "order": "desc"
    }
  }
}

2.3.3、详情查询

  • _doc/{_id} 根据id查询详情
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GET customer_remind/_doc/15748138447761588306

2.3.4、filter与must，term与match的区别

2.3.4.1、根据字段类型不同

  • 对于 keyword类型的字段而言， 用 term 和 match 都是可以查询的；
  • 但对于 text 类型的分词字段而言，只能用match才能够查询到结果；

2.3.4.2、根据嵌套类型查询（filter 与 must 是属于同一个级别的查询方式，都可以作为 query->bool 的属性）

  • filter： 不计算评分，查询效率高、有缓存。（推荐）

​ term： 精确匹配

​ match： 模糊匹配、倒排索引

  • must： 要计算评分，查询效率低、无缓存

​ term： 精确匹配、 要评分

​ match：模糊匹配、 要评分

2.4、删除

2.4.1、删除索引下所有的数据

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POST /customer_remind/_delete_by_query
{
  "query": {
    "match_all": {}
  }
}

2.4.2、根据id删除单条数据

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DELETE /customer_remind/_doc/15748138447761588306

2.5、更新

2.5.1、局部更新

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POST /customer_remind/_doc/15748138447761588306/_update
{
  "doc": {
    "customerName": "名"
  }
}

2.5.2、全量更新

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POST /customer_remind/_doc/15748138447761588306
{
  "customerName": "名ss"
}

2.6、批量插入

  • 每两行为一组，第一行指定索引id（也可为空），第二行为实际的数据体。如果id为空：{“index”:{}}
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POST /crm_channel_customer/_bulk
{"index":{"_id":"998"}}
{"imgUrl":"","groupId":"168769212699901969","nickname":"","cellphone":"","dialogueLastTime":"2021-11-25 19:20:58","userTypes":[{"deleteFlag":"0","subscribeTime":"2019-09-16 16:28:07","id":"998","userType":"3"}],"docUpdateTime":"2022-05-16 03:00:01","id":33657,"delFlag":"0"}
{"index":{"_id":"999"}}
{"imgUrl":"","groupId":"168769212699901969","nickname":"","cellphone":"","dialogueLastTime":"2021-11-25 19:20:58","userTypes":[{"deleteFlag":"0","subscribeTime":"2019-09-16 16:28:07","id":"999","userType":"3"}],"docUpdateTime":"2022-05-16 03:00:01","id":33657,"delFlag":"0"}

3、备注

3.1、浏览器插件

Elasticvue

ElasticSearch Head

3.2、配置

img