ElasticSearch 7.x 实战入门02

作者: 众神开挂 | 来源:发表于2020-03-21 12:39 被阅读0次

    主要内容:7种搜索方式的简单操作

    1、query string search
    2、query DSL
    3、query filter
    4、full-text search
    5、phrase search
    6、highlight search
    7、term query

    1、query string search

    名称由来:search参数都是以http请求的query string来附带的

    参数列表

    2020-03-21_052654.png

    搜索示例:
    搜索全部商品

    GET /ecommerce/_search
    
    {
      "took" : 11,
      "timed_out" : false,
      "_shards" : {
        "total" : 1,
        "successful" : 1,
        "skipped" : 0,
        "failed" : 0
      },
      "hits" : {
        "total" : {
          "value" : 5,
          "relation" : "eq"
        },
        "max_score" : null,
        "hits" : [
          {
            "_index" : "ecommerce",
            "_type" : "_doc",
            "_id" : "SH1w83ABZ60GR8nZv1rN",
            "_score" : null,
            "_source" : {
              "name" : "zhonghua yagao",
              "desc" : "caoben zhiwu",
              "price" : 40,
              "producer" : "zhonghua producer",
              "tags" : [
                "qingxin"
              ]
            },
            "sort" : [
              40
            ]
          }      
        ]
      }
    }
    
    

    字段说明:

    took:耗费了几毫秒
    timed_out:是否超时
    _shards:分片数量,搜索请求会打到所有的primary shard(或者是它的某个replica shard也可以)
    hits.total:查询结果的数量
    hits.max_score:就是document对于一个search的相关度的匹配分数,越相关,就越匹配,分数也高
    hits.hits:包含了匹配搜索的document的详细数据

    搜索名为yagao的商品,并按价格进行降序排列

    GET /ecommerce/_search?q=name:yagao&sort=price:desc
    

    小结:

    适用于临时的在命令行使用一些工具,比如curl,快速的发出请求,来检索想要的信息;但是如果查询请求很复杂,是很难去构建的,在生产环境中,几乎很少使用query string search

    2、query DSL

    DSL:Domain Specified Language,特定领域的语言
    http request body:请求体,可以用json的格式来构建查询语法,比较方便,可以构建各种复杂的语法.

    查询示例:

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

    查询名称包含yagao的商品,同时按照价格降序排序

    GET /ecommerce/_search
    {
      "query": {
        "match": {
          "name": "yagao"
        }
      },
      "sort": [
        {
          "price": "desc"
        }
      ]
    }
    

    分页查询商品,总共3条商品,假设每页就显示1条商品,现在显示第2页,所以就查出来第2个商品

    GET /ecommerce/_search
    {
      "query": {
        "match_all": {}
      },
      "from": 1,
      "size": 1
    }
    

    指定查询出来商品的名称和价格 类似sql语句的select

    GET /ecommerce/_search
    {
      "query": {
        "match_all": {}
      },
      "_source": [
        "name",
        "price"
      ]
    }
    

    返回的结果

    {
      "took" : 0,
      "timed_out" : false,
      "_shards" : {
        "total" : 1,
        "successful" : 1,
        "skipped" : 0,
        "failed" : 0
      },
      "hits" : {
        "total" : {
          "value" : 5,
          "relation" : "eq"
        },
        "max_score" : 1.0,
        "hits" : [
          {
            "_index" : "ecommerce",
            "_type" : "_doc",
            "_id" : "2",
            "_score" : 1.0,
            "_source" : {
              "price" : 25,
              "name" : "jiajieshi yagao"
            }
          },
          {
            "_index" : "ecommerce",
            "_type" : "_doc",
            "_id" : "SH1w83ABZ60GR8nZv1rN",
            "_score" : 1.0,
            "_source" : {
              "price" : 40,
              "name" : "zhonghua yagao"
            }
          }
        ]
      }
    }
    
    

    3、query filter

    对数据进行过滤

    搜索商品名称包含yagao,而且售价大于等于40元的商品

    (gt:大于,lt:小于,gte:大于等于,lte:小于等于)

    GET /ecommerce/_search
    {
      "query": {
        "bool": {
          "must": [
            {
              "match": {
                "name": "yagao"
              }
            }
          ],
          "filter": {
            "range": {
              "price": {
                "gte": 40
              }
            }
          }
        }
      },
      "sort": [
        {
          "price": {
            "order": "desc"
          }
        }
      ]
    }
    

    返回的结果

    {
      "took" : 0,
      "timed_out" : false,
      "_shards" : {
        "total" : 1,
        "successful" : 1,
        "skipped" : 0,
        "failed" : 0
      },
      "hits" : {
        "total" : {
          "value" : 1,
          "relation" : "eq"
        },
        "max_score" : 0.03390155,
        "hits" : [
          {
            "_index" : "ecommerce",
            "_type" : "_doc",
            "_id" : "SH1w83ABZ60GR8nZv1rN",
            "_score" : 0.03390155,
            "_source" : {
              "name" : "zhonghua yagao",
              "desc" : "caoben zhiwu",
              "price" : 40,
              "producer" : "zhonghua producer",
              "tags" : [
                "qingxin"
              ]
            }
          }
        ]
      }
    }
    

    4、full-text search (全文检索)

    全文检索会将输入的搜索串拆解开来,去倒排索引里面去逐一匹配,只要能匹配上任意一个拆解后的单词,就可以作为结果返回。

    返回的结果会按照匹配度进行排序

    GET /ecommerce/_search
    {
     "query": {
       "match": {
         "producer": "yagao producer"
       }
     }
    }
    

    返回结果

    {
      "took" : 2,
      "timed_out" : false,
      "_shards" : {
        "total" : 1,
        "successful" : 1,
        "skipped" : 0,
        "failed" : 0
      },
      "hits" : {
        "total" : {
          "value" : 6,
          "relation" : "eq"
        },
        "max_score" : 1.3950518,
        "hits" : [
          {
            "_index" : "ecommerce",
            "_type" : "_doc",
            "_id" : "sBkH-3ABDLwU_RgbxhX0",
            "_score" : 1.3950518,
            "_source" : {
              "name" : "special yagao",
              "desc" : "special meibai",
              "price" : 50,
              "producer" : "special yagao producer",
              "tags" : [
                "meibai"
              ]
            }
          }
          ···········省略···········
        ]
      }
    }
    
    

    5、phrase search(短语搜索)

    跟全文检索相对应,要求输入的搜索串,必须在指定的字段文本中,完全包含一模一样的,才可以算匹配,才能作为结果返回

    GET /ecommerce/_search
    {
      "query": {
        "match_phrase": {
          "producer": "yagao producer"
        }
      }
    }
    

    返回的结果

    {
      "took" : 36,
      "timed_out" : false,
      "_shards" : {
        "total" : 1,
        "successful" : 1,
        "skipped" : 0,
        "failed" : 0
      },
      "hits" : {
        "total" : {
          "value" : 1,
          "relation" : "eq"
        },
        "max_score" : 1.395052,
        "hits" : [
          {
            "_index" : "ecommerce",
            "_type" : "_doc",
            "_id" : "sBkH-3ABDLwU_RgbxhX0",
            "_score" : 1.395052,
            "_source" : {
              "name" : "special yagao",
              "desc" : "special meibai",
              "price" : 50,
              "producer" : "special yagao producer",
              "tags" : [
                "meibai"
              ]
            }
          }
        ]
      }
    }
    

    6、highlight search(高亮搜索结果)

    对匹配的producer字段进行高亮显示

    GET /ecommerce/_search
    {
      "query": {
        "match": {
          "producer": "yagao"
        }
      },
      "highlight": {
        "fields": {
          "producer": {}
        }
      }
    }
    

    返回的结果

    {
      "took" : 0,
      "timed_out" : false,
      "_shards" : {
        "total" : 1,
        "successful" : 1,
        "skipped" : 0,
        "failed" : 0
      },
      "hits" : {
        "total" : {
          "value" : 1,
          "relation" : "eq"
        },
        "max_score" : 1.3310189,
        "hits" : [
          {
            "_index" : "ecommerce",
            "_type" : "_doc",
            "_id" : "sBkH-3ABDLwU_RgbxhX0",
            "_score" : 1.3310189,
            "_source" : {
              "name" : "special yagao",
              "desc" : "special meibai",
              "price" : 50,
              "producer" : "special yagao producer",
              "tags" : [
                "meibai"
              ]
            },
            "highlight" : {
              "producer" : [
                "special <em>yagao</em> producer"
              ]
            }
          }
        ]
      }
    }
    

    7、term query( 完全匹配 )

    term是代表完全匹配,即不进行分词器分析,文档中必须包含整个搜索的词汇

    GET /ecommerce/_search
    {
      "query": {
        "term": {
          "producer": "special"
        }
      }
    }
    

    (terms多值)字段有一多个值时候,用terms关键词查询,后跟数组

    GET /ecommerce/_search
    {
      "query": {
        "terms": {
          "producer": [
            "special",
            "producer"
          ]
        }
      }
    }
    

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