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  • ElasticSearch核心知识总结(一)es的六种搜索方式和数据分析

    es的六种搜索方式

    1. query string search
    GET /ecommerce/product/_search //查询所有数据
    
    {
      "took": 4,//耗费几毫秒
      "timed_out": false,//是否超时
      "_shards": {//数据拆分成5个分片,对所有请求都会打到所有primary shared(或者是它的某个replica shared也可以)
        "total": 5,
        "successful": 5,
        "skipped": 0,
        "failed": 0
      },
      "hits": {
        "total": 1,//条数
        "max_score": 1,//查询匹配度
        "hits": [
          {
            "_index": "ecommerce",
            "_type": "product",
            "_id": "2",
            "_score": 1,
            "_source": {
              "name": "jiajieshi yagao",
              "desc": "jiajieshi meibai",
              "price": 30,
              "producer": "jiajieshi producer",
              "tags": [
                "meibai",
                "fangzhu"
              ]
            }
          }
        ]
      }
    }
    
    GET /ecommerce/product/_search?q=name:yagao&sort=price:desc
    
    1. query DSL

      • DSL:Domain Specified Language:特定领域的语言
      • http request body:请求体,用json格式构建查询语法
      GET /ecommerce/product/_search
      {
        "query": {
          "match": {
            "name": "yagao" //查询包含单词
          }
        },
        "_source": ["name","price"],//不写查询所有字段 
        "sort": [
          {
            "price": {
              "order": "desc"//倒序排序
            }
          }
        ],
        "from": 0,//分页
        "size": 1
      }
      
    2. query filter

    GET /ecommerce/product/_search
    {
      "query": {
        "bool": {//多个条件
          "must": [
            {
                "match": {
                "name": "yagao"
              }
            }
          ],
          "filter": {//过滤条件
            "range": {
              "price": {
                "gte": 10,
                "lte": 40
              }
            }
          }
        }
      }
    }
    
    1. full-text search
    GET /ecommerce/product/_search
    {
      "query": {
        "match": {
          "producer": "lishi producer"//会查包含这两个单词的所有数据
        }
      }
    }
    
    {
      "took": 5,
      "timed_out": false,
      "_shards": {
        "total": 5,
        "successful": 5,
        "skipped": 0,
        "failed": 0
      },
      "hits": {
        "total": 4,
        "max_score": 0.51623213,
        "hits": [
          {
            "_index": "ecommerce",
            "_type": "product",
            "_id": "3",
            "_score": 0.51623213,//匹配度最高
            "_source": {
              "name": "lishi yagao",
              "desc": "lishi meibai",
              "price": 50,
              "producer": "lishi producer",
              "tags": [
                "meibai",
                "fangzhu"
              ]
            }
          },
          {
            "_index": "ecommerce",
            "_type": "product",
            "_id": "1",
            "_score": 0.25811607,
            "_source": {
              "name": "jiaqiangban gaolujie yagao2",
              "desc": "gaoxiao meibai",
              "price": 30,
              "producer": "gaolujie producer",
              "tags": [
                "meibai",
                "fangzhu"
              ]
            }
          },
          {
            "_index": "ecommerce",
            "_type": "product",
            "_id": "2",
            "_score": 0.1805489,
            "_source": {
              "name": "jiajieshi yagao",
              "desc": "jiajieshi meibai",
              "price": 40,
              "producer": "jiajieshi producer",
              "tags": [
                "meibai",
                "fangzhu"
              ]
            }
          },
          {
            "_index": "ecommerce",
            "_type": "product",
            "_id": "4",
            "_score": 0.14638957,
            "_source": {
              "name": "special yaogao",
              "desc": "special meibai",
              "price": 50,
              "producer": "special yagao producer",
              "tags": [
                "meibai"
              ]
            }
          }
        ]
      }
    }
    
    1. phrase search
      必须包含一模一样的串,才会返回(包含短语的意思)
    GET /ecommerce/product/_search
    {
      "query": {
        "match_phrase": {
          "producer": "yagao producer"
        }
      }
    }
    {
      "took": 3,
      "timed_out": false,
      "_shards": {
        "total": 5,
        "successful": 5,
        "skipped": 0,
        "failed": 0
      },
      "hits": {
        "total": 1,
        "max_score": 0.70293105,
        "hits": [
          {
            "_index": "ecommerce",
            "_type": "product",
            "_id": "4",
            "_score": 0.70293105,
            "_source": {
              "name": "special yaogao",
              "desc": "special meibai",
              "price": 50,
              "producer": "special yagao producer",
              "tags": [
                "meibai"
              ]
            }
          }
        ]
      }
    }
    
    1. highlight search
      • 查询到的结果高亮
      GET /ecommerce/product/_search
      {
        "query": {
          "match_phrase": {
            "producer": "gaolujie producer"
          }
        },
        "highlight": {
          "fields": {
            "producer": {}
          }
        }
      }
      {
        "took": 18,
        "timed_out": false,
        "_shards": {
          "total": 5,
          "successful": 5,
          "skipped": 0,
          "failed": 0
        },
        "hits": {
          "total": 1,
          "max_score": 0.51623213,
          "hits": [
            {
              "_index": "ecommerce",
              "_type": "product",
              "_id": "1",
              "_score": 0.51623213,
              "_source": {
                "name": "jiaqiangban gaolujie yagao2",
                "desc": "gaoxiao meibai",
                "price": 30,
                "producer": "gaolujie producer",
                "tags": [
                  "meibai",
                  "fangzhu"
                ]
              },
              "highlight": {
                "producer": [
                  "<em>gaolujie</em> <em>producer</em>"
                ]
              }
            }
          ]
        }
      }
      

    计算每个tag下的商品数量

    • 将文本field的fielddata属性设置为true
    PUT /ecommerce/_mapping/product
    {
      "properties": {
        "tags":{
          "type": "text",
          "fielddata": true
        }
      }
    }
    
    • 再运行下面才能查出来
    GET /ecommerce/product/_search
    {
      "aggs": {
        "group_by_tags": {
          "terms": {
            "field": "tags"
          }
        }
      }
    }
    
    "aggregations": {
        "group_by_tags": {
          "doc_count_error_upper_bound": 0,
          "sum_other_doc_count": 0,
          "buckets": [
            {
              "key": "fangzhu",
              "doc_count": 3
            },
            {
              "key": "meibai",
              "doc_count": 3
            },
            {
              "key": "suibian",
              "doc_count": 1
            }
          ]
        }
      }
    

    对名称中包含yagao的商品,计算每个tag下的商品数量

    GET /ecommerce/product/_search
    {
      "query": {
        "match": {
          "name": "yagao"
        }
      }, 
      "aggs": {
        "group_by_tags": {
          "terms": {
            "field": "tags"
          }
        }
      }
    }
    

    先分组,再计算每组的平均值,计算每个tag下的商品的平均价格

    GET /ecommerce/product/_search
    {
      "size": 0,
      "aggs": {
        "group_by_tags": {
          "terms": {
            "field": "tags"
          },
          "aggs": {
            "avg_price": {
              "avg": {
                "field": "price"
              }
            }
          }
        }
      }
    }
    

    对上述结果按平均价格排序

    GET /ecommerce/product/_search
    {
      "size": 0,
      "aggs": {
        "group_by_tags": {
          "terms": {
            "field": "tags",
            "order": {
              "avg_price": "desc"
            }
          },
          "aggs": {
            "avg_price": {
              "avg": {
                "field": "price"
              }
            }
          }
        }
      }
    }
    

    按照指定的价格范围区间进行分组,然后在每组内再按照tag进行分组,最后再计算每组的平均价格

    GET /ecommerce/product/_search
    {
      "size": 0,
      "aggs": {
        "group_by_price": {
          "range": {
            "field": "price",
            "ranges": [
              {
                "from": 0,
                "to": 20
              },
              {
                "from": 20,
                "to": 40
              },
              {
                "from": 40,
                "to": 60
              }
            ]
          },
          "aggs": {
            "group_by_tags": {
              "terms": {
                "field": "tags"
              },
              "aggs": {
                "avg_price": {
                  "avg": {
                    "field": "price"
                  }
                }
              }
            }
          }
        }
      }
    }
    
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  • 原文地址:https://www.cnblogs.com/sky-chen/p/9950615.html
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