Elasticsearch中的加权随机抽样

Question

我需要从ElasticSearch指数获得了随机抽样,即发出检索来自加权概率给定索引一些文档的查询Wj/?Wi(这里Wj是行的权重j,并Wj/?Wi在此查询所有文件的权重的总和).

目前,我有以下查询:

GET products/_search?pretty=true

{"size":5,
  "query": {
    "function_score": {
      "query": {
        "bool":{
          "must": {
            "term":
              {"category_id": "5df3ab90-6e93-0133-7197-04383561729e"}
          }
        }
      },
      "functions":
        [{"random_score":{}}]
    }
  },
  "sort": [{"_score":{"order":"desc"}}]
}

它随机返回所选类别中的5个项目.每个项目都有一个字段weight.所以,我可能不得不使用

"script_score": {
  "script": "weight = data['weight'].value / SUM; if (_score.doubleValue() > weight) {return 1;} else {return 0;}"
}

作为描述在这里.

我有以下问题:

• 这样做的正确方法是什么？
• 我是否需要启用Dynamic Sc​​ripting？
• 如何计算查询的总和？

非常感谢你的帮助!

Answer 1

万一它对任何人都有帮助，这就是我最近实施加权改组的方式。

在此示例中，我们对公司进行了洗牌。每个公司都有一个介于0到100之间的“ company_score”。通过这种简单的加权改组，得分为100的公司出现在首页的可能性是得分为20的公司的5倍。

json_body = {
    "sort": ["_score"],
    "query": {
        "function_score": {
            "query": main_query,  # put your main query here
            "functions": [
                {
                    "random_score": {},
                },
                {
                    "field_value_factor": {
                        "field": "company_score",
                        "modifier": "none",
                        "missing": 0,
                    }
                }
            ],
            # How to combine the result of the two functions 'random_score' and 'field_value_factor'.
            # This way, on average the combined _score of a company having score 100 will be 5 times as much
            # as the combined _score of a company having score 20, and thus will be 5 times more likely
            # to appear on first page.
            "score_mode": "multiply",
            # How to combine the result of function_score with the original _score from the query.
            # We overwrite it as our combined _score (random x company_score) is all we need.
            "boost_mode": "replace",
        }
    }
}