[elasticsearch笔记] Query DSL [持续更新中]

最新推荐文章于 2025-07-01 22:10:05 发布

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本文介绍了Elasticsearch中各种高级查询方法的应用场景和技术细节，包括布尔查询、常数分数查询、增强查询、最大值查询等，帮助读者深入理解如何进行高效的数据检索。

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note

demo

GET /_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "title": "Search"
          }
        },
        {
          "match": {
            "content": "Elasticsearch"
          }
        }
      ],
      "filter": [
        {
          "term": {
            "status": "published"
          }
        },
        {
          "range": {
            "publish_date": {
              "gte": "2015-01-01"
            }
          }
        }
      ]
    }
  }
}

POST _search
{
  "query": {
    "bool": {
      "must": {
        "term": {
          "user": "kimchy"
        }
      },
      "filter": {
        "term": {
          "tag": "tech"
        }
      },
      "must_not": {
        "range": {
          "age": {
            "gte": 10,
            "lte": 20
          }
        }
      },
      "should": [
        {
          "term": {
            "tag": "wow"
          }
        },
        {
          "term": {
            "tag": "elasticsearch"
          }
        }
      ],
      "minimum_should_match": 1,
      "boost": 1
    }
  }
}

GET _search
{
  "query": {
    "constant_score": {
      "filter": {
        "term": {
          "status": "active"
        }
      },
      "boost": 1.2
    }
  }
}

GET /_search
{
  "query": {
    "boosting": {
      "positive": {
        "term": {
          "text": "apple"
        }
      },
      "negative": {
        "term": {
          "text": "pie tart fruit crumble tree"
        }
      },
      "negative_boost": 0.5
    }
  }
}

#
# 返回匹配至少一个 query 的搜索，多个匹配时，使用最高的score
#
GET /_search
{
  "query": {
    "dis_max": {
      "queries": [
        {
          "term": {
            "title": "Quick pets"
          }
        },
        {
          "term": {
            "body": "Quick pets"
          }
        }
      ],
      "tie_breaker": 0.7
    }
  }
}

GET /_search
{
  "query": {
    "function_score": {
      "query": {
        "match_all": {}
      },
      "boost": "5",
      "random_score": {},
      "boost_mode": "multiply"
    }
  }
}

GET /_search
{
  "query": {
    "function_score": {
      "query": {
        "match_all": {}
      },
      "boost": "5",
      "functions": [
        {
          "filter": {
            "match": {
              "test": "bar"
            }
          },
          "random_score": {},
          "weight": 23
        },
        {
          "filter": {
            "match": {
              "test": "cat"
            }
          },
          "weight": 42
        }
      ],
      "max_boost": 42,
      "score_mode": "max",
      "boost_mode": "multiply",
      "min_score": 42
    }
  }
}

GET /_search
{
  "query": {
    "function_score": {
      "query": {
        "match": {
          "message": "elasticsearch"
        }
      },
      "script_score": {
        "script": {
          "source": "Math.log(2 + doc['likes'].value)"
        }
      }
    }
  }
}

GET /_search
{
  "query": {
    "function_score": {
      "query": {
        "match": {
          "message": "elasticsearch"
        }
      },
      "script_score": {
        "script": {
          "params": {
            "a": 5,
            "b": 1.2
          },
          "source": "params.a / Math.pow(params.b, doc['likes'].value)"
        }
      }
    }
  }
}

GET /_search
{
    "query": {
        "function_score": {
            "random_score": {
                "seed": 10,
                "field": "_seq_no"
            }
        }
    }
}

GET /_search
{
  "query": {
    "function_score": {
      "field_value_factor": {
        "field": "likes",
        "factor": 1.2,
        "modifier": "sqrt",
        "missing": 1
      }
    }
  }
}