"query" : { "match": { "message": "elasticsearch" } }, "script" : { "source" : "doc['likes'].value + _score " } } } } 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. Vector查询支持 这类查询目前有cosineSimilarity 和 dotProduct两类函数支持,只能应用在dense_veco...
{ "from": 0, "size": 10, "query": { "function_score": { "query": { "bool": { "must": [ { "match": { "mTitle": { "query": "java", "minimum_should_match": "80%", "boost": 6 } } } ] } }, "script_score": { "script": { "source": "_score * (doc['mReadC...
"must" : { "match" : { "_all" : { "query" : "关键字", "type" : "boolean", "operator" : "AND" } } } } } } }, "functions" : [ { "script_score" : { "params": { "field": "company_name", "term": "关键字" }, "script" : "_index[field][term].df()" } } ,...
{"name":"B","sales":20,"visitors":20} {"index":{"_id":3}} {"name":"C","sales":30,"visitors":30} POST product_test/_search { "query": { "function_score": { "query": { "match_all": {} }, "script_score": { "script": { "source": "_score * (doc['sales']....
{"script_score":{"query":{"match_all":{}},"script":{"source":"doc['price'].value"}}} 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 注解: 这个脚本会根据price字段的值计算评分。 4. 在 Spark 中执行查询并应用脚本评分 接下来,我们将在 Spark 中使用script_score执行查询,这里使用DataFrameAPI。
"match" : { "_all" : { "query" : "关键字", "type" : "boolean", "operator" : "AND" } } } } } } }, "functions" : [ { "script_score" : { "params": { "field": "company_name", "term": "关键字" }, "script" : "_index[field][term].df()" ...
"path_match":"*", "match_mapping_type":"string", "mapping":{ "type":"keyword" } } } ], "properties":{ "answer_html":{ "type":"keyword" }, "category":{ "type":"keyword" }, "city":{ "type":"keyword" }, "country":{ ...
sourceBuilder.query(QueryBuilders.matchAllQuery()); // 使用 script_score 进行评分 Script script = new Script("Math.log(doc['field_name'].value + 1)"); sourceBuilder.sort(new ScriptSortBuilder(script, ScriptSortBuilder.ScriptSortType.NUMBER).order(SortOrder.DESC)); // 发起查询 SearchResponse...
[1] TOC: 向量数据库：使用Elasticsearch实现向量数据存储与搜索 [2] 向量检索: https://github.com/...
在Elasticsearch中,可以使用脚本字段(script fields)来获取文档的评分(score)。脚本字段允许您在查询结果中使用脚本计算新的字段值,包括文档得分。 以下是一个示例,演示如何在Elasticsearch中使用脚本字段获取文档的评分: ```json { "query": { "match": { "content": "search keywords" } }, "script_fields":...