聚合中的弹性同义词用法

我的时间很短,所以如果需要的话,我可以在今天/明天晚些时候详细阐述一下。但以下几点应该有效:

DELETE /my_index
PUT /my_index
{
  "settings": {
    "analysis": {
      "filter": {
        "my_synonym_filter": {
          "type": "synonym", 
          "synonyms": [ 
            "british,english",
            "queen,monarch"
          ]
        }
      },
      "analyzer": {
        "my_synonyms": {
          "tokenizer": "standard",
          "filter": [
            "lowercase",
            "my_synonym_filter" 
          ]
        }
      }
    }
  },
  "mappings": {
    "test": {
      "properties": {
        "title": {
          "type": "text",
          "analyzer": "my_synonyms",
          "fielddata": true
        }
      }
    }
  }
}
POST my_index/test/1
{
  "title" : "the british monarch"
}

GET my_index/_search
{
  "query": {
    "match": {
      "title": "queen"
    }
  }
}

GET my_index/_search
{
  "query": {
    "match": {
      "title": "queen"
    }
  }, 
  "aggs": {
    "queen_filter": {
      "filter": {
        "term": {
          "title": "queen"
        }
      }
    },
    "monarch_filter": {
      "filter": {
        "term": {
          "title": "monarch"
        }
      }
    }
  }
}

你能分享一下你为你的 status.synonym 领域

编辑:V2

过滤器输出为0的原因是Elasticsearch中的过滤器从未经过分析阶段。这是为了精确匹配。

聚合中的标记“wlh”不会转换为“wellwell”,这意味着它不会出现在反向索引中。这是因为,在索引期间,您的“wlh”被翻译为“wellwell”。 为了实现您想要的,您必须将数据索引到一个单独的字段中,并相应地调整过滤器。

您可以尝试以下方式:

DELETE my_index
PUT /my_index
{
  "settings": {
    "number_of_shards": 1, 
    "number_of_replicas": 0, 
    "analysis": {
      "filter": {
        "my_synonym_filter": {
          "type": "synonym",
          "synonyms": [
            "wlh,wellhead=>wellwell"
          ]
        }
      },
      "analyzer": {
        "my_synonyms": {
          "tokenizer": "standard",
          "filter": [
            "lowercase",
            "my_synonym_filter"
          ]
        }
      }
    }
  },
  "mappings": {
    "job": {
      "properties": {
        "title": {
          "type": "string",
          "fields": {
            "synonym": {
              "type": "string",
              "analyzer": "my_synonyms"
            }
          }
        }
      }
    }
  }
}

PUT my_index/job/1
{
    "title":"wellhead smth else"
}

PUT my_index/job/2
{
    "title":"wlh other stuff"
}

POST my_index/_search
{
  "size": 0,
  "query": {
    "match": {
      "title.synonym": {
        "query": "wlh",
        "operator": "and"
      }
    }
  },
  "aggs": {
    "wlhAggs": {
      "terms": {
        "field": "title.synonym"
      }
    },
    "wlhFilter": {
      "filter": {
        "term": {
          "title": "wlh"
        }
      }
    }
  }
}

输出:

{
  "aggregations": {
    "wlhAggs": {
      "doc_count_error_upper_bound": 0,
      "sum_other_doc_count": 0,
      "buckets": [
        {
          "key": "wellwell",
          "doc_count": 2
        },
        {
          "key": "else",
          "doc_count": 1
        },
        {
          "key": "other",
          "doc_count": 1
        },
        {
          "key": "smth",
          "doc_count": 1
        },
        {
          "key": "stuff",
          "doc_count": 1
        }
      ]
    },
    "wlhFilter": {
      "doc_count": 1
    }
  }
}

希望这有帮助!!

• 我创建了一个单独的字段,使用同义词分析器,如下所示 反对使用属性字段(mainfield.property)。
• 最重要的问题是我的同义词被压缩了!我 例如,英国英语=>英国。将其更改为 british,english,uk解决了我的问题,过滤器聚合是 返回正确数量的文档。

希望这能帮助别人,或者至少指向正确的方向。

编辑: 哦,上帝赞美文件!我完全修复了过滤器的问题聚合(链接 here ). 在过滤器配置中,我指定了查询的匹配类型,它成功了!结果是这样的:

"aggs" : {
    "messages" : {
      "filters" : {
        "filters" : {
          "status" :   { "match" : { "cats.saurus" : "monarch"   }},
          "country" : { "match" : { "cats.saurus" : "british" }}
        }
      }
    }
  }