Elasticsearch中的加权随机抽样

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",        }    }}